FOCUS: Step 2 – Finding the Y-DNA and Mitochondrial DNA of Your Ancestors

This is the third article in our FOCUS series, providing step-by-step instructions for identifying brick-walled ancestors.

These two articles detail the initial steps:

By now, you will have selected the ancestor you want to focus on identifying, and you have tools in your toolkit for working with DNA matches who have no trees.

You may have ordered DNA tests from multiple vendors and are waiting on results, so while you wait, we’ll start with finding the Y-DNA and mitochondrial DNA of your ancestors and identifying DNA testing candidates.

While it may sound counterintuitive, we’re going to be working with all of the major vendors, including FamilyTreeDNA, who actually tests for Y-DNA and mitochondrial DNA, plus WikiTree, 23andMe, MyHeritage, Ancestry, GEDmatch and FamilySearch. They are all quite useful in different ways.

This Type of Searching Is Different

Normally, when we search for brick-walled ancestors, we are searching backward in time. In other words, we begin with the last person we know and work back from there, hoping to identify the previous generation.

If we don’t know Lucy’s birth surname and she was born about 1750, and married William Moore in the late 1770s, we begin with what we do know in that timeframe.

Searching for our ancestor’s Y-DNA or mitochondrial DNA, and testers who carry that DNA, is fundamentally different because we begin with that ancestor and work forward in time.

In other words, if we want to find Lucy’s mitochondrial DNA, we begin with her daughters and track forward in time to the present. Hopefully, someone has already tested, and we can locate that result, but if not, we need to find people who descend through a specific path that carry Lucy’s mitochondrial DNA.

If we were searching for the Y-DNA of William Moore, we would look for his direct paternal descendant males who would carry the Moore surname.

Chicken or Egg?

I’ve been debating whether I should show you:

  1. How to locate and identify the Y-DNA and mitochondrial DNA of your ancestors first, or
  2. How to use Y-DNA and mitochondrial DNA (mtDNA) to help break through your brick wall first

I decided to write the “how to locate” article first because I don’t want you to skim over and ignore the ‘how to use’ article, thinking it’s irrelevant to your research because you don’t carry the Y-DNA and/or mtDNA of your brick-walled ancestor.

There are lots of avenues to locate the Y-DNA or mitochondrial DNA of your ancestors, something you definitely want to do. You’ll soon see that Y-DNA and mtDNA information can also assist with autosomal DNA results.

These are all pieces of your ancestor’s puzzle, and you never know which one will be the one to topple that wall.

Plus, you don’t know what you don’t know about that ancestor.

Let’s jump right in!

Who Carries the Y-DNA and Mitochondrial DNA of Your Ancestor?

As a quick refresher, only men can test for Y-DNA because only men have a Y chromosome which is inherited from their father. It’s passed in a direct paternal line from father to son, never mixed with DNA from the mother. Because it’s never divided during recombination like autosomal DNA, it’s uniquely useful for connecting lineages both recently and back in time hundreds and thousands of years.

Both Y-DNA and mitochondrial DNA incur occasional mutations that function as genetic breadcrumbs, making them incredibly useful for reassembling those specific family lines where genealogy paper trails have broken or been interrupted.

Mitochondrial DNA is passed from mothers to their children of both sexes, but only daughters pass it on. This means that in the current generation, males and females can both test for the mtDNA of their direct, mother-to-mother, matrilineal line.

Anyone, including males, who descends from an ancestor through all females can test for that ancestor’s mitochondrial DNA.

If you’re lucky, you’ll carry the Y-DNA or mitochondrial DNA of the ancestor you are seeking. If not, you’ll need to do one of two things:

  1. Determine if someone has already tested for that ancestor
  2. If not, find candidates to test

Y-DNA is generally easier because you at least (hopefully) have a surname to work with that has been passed from father to son, along with their Y chromosome.

Mitochondrial DNA is more challenging since surnames change each generation, so I’ve included several mitochondrial examples. Don’t skip over them, because the same research techniques apply to Y-DNA too, especially difficult cases.

If you’re a male, I strongly recommend that you order:

If you’re a female, you can only order the mtFull test, but you may be able to ask your father or brother or a male relative (with the surname in the lineage you seek) to take the Big Y-700 to represent your father’s family line. In other words, if you’re looking for a male Estes, you can ask your 2C Estes male who descends in a direct paternal line of all Estes men from your common ancestor.

Complete Versus Partial Tests

Haplogroup-only results derived from autosomal tests are fine as far as they go – but they don’t go very far. Most are what I would call midrange, providing testers with a haplogroup from maybe 2000 years ago, and some are much more distant than that. That isn’t to say they can’t be useful in a limited capacity, but Y-DNA and mtDNA have so much more potential.

You need comprehensive Y-DNA and mtDNA test results that identify all your haplogroup-defining mutations and can be refined as more people test and match family-level mutations.

Haplogroups are important, but you also need to match with other testers. Additionally, you’ll want the most complete haplogroup possible, because it will help you genealogically by providing a complete breadcrumb trail with the ability to identify your most recent common ancestor (MRCA).

FamilyTreeDNA is the only vendor that offers these complete tests that include matching with other testers, plus additional genealogy tools.

The Big Y-700 test scans for mutations in the stable portion of the Y chromosome and is the only way to obtain that personal-level information. It’s those recent mutations that will help place you within a biological family – or eliminate you from other lines, which prevents barking up the wrong tree.

The benefit of taking the test yourself, or sponsoring a test for someone willing to share their results with you, is that you have ready access to information through FamilyTreeDNA’s tools such as:

  • Matches with other Y-DNA and mtDNA testers
  • Matches Map (ancestor locations)
  • Advanced Matching, which provides a filtered list of people who match you on BOTH your Y-DNA or mitochondrial DNA AND your Family Finder autosomal test
  • Haplotype clusters (for mtDNA)
  • Your mutations
  • Block Tree (for Y-DNA)
  • Customized Discover tools

Click any image to enlarge

  • Discover’s Advanced Tools like the Match Time Tree, shown above, which displays your matches with their earliest known ancestors (EKA) together on the Time Tree
  • Globetrekker™ (for Y-DNA with mtDNA coming soon)
  • Up to 30 Ancient Connections
  • Up to 20 Notable Connections

FamilyTreeDNA’s free Discover tool, here, provides public information for everyone about haplogroups, but if you haven’t taken the test, you won’t receive matching and customized information described above, which is essential to genealogy.

Upgrades for Partial Tests

You may have previously tested at a lower level at FamilyTreeDNA.

For mtDNA, the early mtPlus test examined a portion of the mitochondria and provided matching at lower levels, as do the 12-111 marker Y-DNA tests. Both provide a predicted high-level basic or midrange haplogroup based on the mutation information available in those limited tests.

If you took an earlier, partial test, you can sign on to your account to upgrade by clicking on the “Big Y,” even though it’s greyed out. Grey simply indicates that you don’t currently have that level of test.

Click on “Full” to upgrade to the mtFull test.

Test Features at Various Levels

Depending on the type of test you take, and at which vendor, you may have a fully refined or partial haplogroup.

Discover provides a substantial amount of information if you receive a partial haplogroup:

A partial haplogroup is better than no haplogroup, but it’s also like working with one hand tied behind your back. If at all possible, you need to work with a full haplogroup and matches.

Testers who click through to Discover from their own test, or a test they manage, can view additional features not available in the free version.

The table below shows the four different ways you can access and view your ancestor’s haplogroup. Based on the testing level and/or how they tested, the haplogroup level will vary.

Clearly, the best scenario is when you either take the Big Y-700 or mtFull test yourself, or you have access to the test results of someone who takes that test to represent your ancestor’s DNA. Primary access confers the greatest amount of information, but you can still glean information in other ways.

Feature Introductory Level Test at FamilyTreeDNA* Tester’s Big Y-700 or mtFull Test – Full Access Partial Haplogroup from Autosomal Test Your Ancestor’s Haplogroup but without Full Access
Matching Yes, at that lower level Best – at all levels No No
Matches Map Yes, at lower level Yes No No
Mutation Values Yes, STR markers at lower Y-DNA level Yes, STRs (Y-DNA) and SNPs Not directly but through Discover Not directly but through Discover
Haplotree & SNPs with surnames (Y-DNA only) Yes, at lower level Yes No No
Block Tree (Big Y test only) No Yes No No

 

Advanced Matching (multiple types of tests) Yes, at that level Yes No No
Ability to Join Group Projects Yes Yes Only test owner or manager can join Only test owner or manager can join
Discover Reports Yes, same information as the free version due to lower coverage Yes, when clicking through from your FamilyTreeDNA account Free version Free version
Haplogroup Story Yes, at lower haplogroup level Yes – best and highest level Yes, at lower haplogroup level Yes, at lower haplogroup level
Country Frequency Map and Table views Yes, at lower haplogroup level Yes, at most refined haplogroup level Yes, at lower haplogroup level Yes, at most refined haplogroup level
Notable Connections Same as free version About 20 for Y-DNA, 11 for mtDNA About 10 for Y-DNA, 3 for mtDNA About 10 for Y-DNA, 3 for mtDNA
Migration Map Yes, at lower level Yes, at advanced level Yes, at lower level Yes, at advanced level
Globetrekker (Y-DNA only, mtDNA coming soon) No Yes No No
Ancient Connections Same as free version About 30 About 10 for Y-DNA, 3 for mtDNA About 10 for Y-DNA, 3 for mtDNA
Time Tree Yes, at lower haplogroup level – generally 2,000 years or older Yes, at most refined haplogroup level, often within genealogical timeframe Yes, at lower haplogroup level – generally 2,000 years or older Yes, at most refined level
Match Time Tree No Yes – your matches & their EKA on the Time Tree including WikiTree Connections and Ancient DNA No No
Ancestral Path Yes, at lower haplogroup level Yes Yes, at lower haplogroup level Yes
Suggested Projects Yes Yes, at more refined level Yes, but must test with FamilyTreeDNA to join Yes, but must test with FamilyTreeDNA to join
Scientific Details, ages and variants Yes, at lower level Yes Yes, at lower level Yes
Compare Haplogroups Yes Yes Yes Yes

*Note that often your ancestor’s haplogroup as reported by the Family Finder (autosomal) test is more refined, meaning closer in time, than the Y-DNA haplogroups predicted by STR tests, but both are always substantially less specific than the Big Y-700 test. As of the publication date of this article, Family Finder does not yet report a mitochondrial DNA haplogroup, but that is planned for the future.

This chart only includes features you would specifically use to identify an ancestor or ancestral lineage. There are other reports provided with your test that will be of interest. Discover provides about 14 reports that include various options.

Now we can envision:

  • The benefits of finding our ancestors’ Y-DNA and mtDNA
  • The benefits of obtaining the most refined haplogroup possible
  • The benefits of being able to view the results directly

You may not be able to achieve all of these, but even a partial haplogroup is better than no haplogroup at all, and a fully refined haplogroup, even if you can’t see everything in another tester’s account, is better than a partial haplogroup.

So, let’s see how to find your ancestors’ haplogroups. I collect them all, not just for brick-walled ancestors, but because they tell a part of our story not available through any other means.

Finding Your Ancestor’s Mitochondrial and Y-DNA

If you are the DNA tester for your brick-wall ancestor, then you’re golden, but chances are that you’re not.

If you’re searching for Y-DNA, and you don’t carry that Y-DNA yourself, you’ll need a male relative who carries that Y chromosome to test.

Males carry the Y-DNA of their direct patrilineal ancestors, shown in the image below on the left side in blue, plus the mitochondrial DNA (mtDNA) of their mother, shown with yellow hearts at far right.

At the 4th generation level, we have 4 Y-DNA lineages to collect (light blue, dark green, medium green, and teal), and a total of 8 mtDNA lineages.

Let’s say you’re searching for your father’s mother’s mother as your brick-wall ancestor.

Your father (and his siblings) carry the mtDNA of his mother, shown above in fuchsia, as do her grandchildren through her daughters. That’s why your father has a fuchsia heart. If close family members test, chances are you can arrange to manage their test or view their results. (Be sure they take the autosomal Family Finder test too. You’ll need that later.

If you don’t manage their test for them, you’ll need to ask to see their results to view matches and work with trees.

I have a family project at FamilyTreeDNA that I manage. I ask people who have tested for a particular ancestor to join that project so I can easily view their results while they continue to manage their test, and can select how much they want me to see or do.

FamilyTreeDNA is currently working on a multi-kit management feature that will address the challenge of sharing results.

But I Don’t Know of Any Cousins…

Let’s say you don’t know of and can’t readily identify anyone who descends from your ancestor appropriately.

If the ancestor you seek is a male, mitochondrial DNA is probably not going to help you because men don’t pass their mitochondrial DNA on to their descendants. In order to obtain a male ancestor’s mitochondrial DNA, you’d need to be able to identify a sister or someone known to descend from his mother (or sisters) through all females to the current generation. Needless to say, if you know who his mother is, you probably already know who he is.

If your brick wall is a female ancestor, your first order of business is to find someone who descends from her through all females to the current generation, where the tester can be male or female.

Why is this so important?

Mitochondrial DNA isn’t admixed with the father’s DNA, so it’s not divided in each generation. This means that mitochondrial DNA is the only direct line-of-sight we have that bypasses both changing surnames and genetic recombination for females.

Who Has Tested for Your Ancestor?

If you’re NOT the tester for your brick-walled ancestor or aren’t the curator of the test, your first step is to see if someone else has already tested.

This can sometimes be challenging.

It’s impossible to obtain mitochondrial DNA for an unknown ancestor if there are no known daughters, and for Y-DNA if there are no known sons. You may need to review genealogical resources to make sure you’ve identified all of that ancestor’s children.

Barring those scenarios, there are a surprising number of resources available to find descendants.

WikiTree

The first place I check to see if someone has already tested for a particular ancestor is WikiTree.

WikiTree is the one place where you find the ancestor along with the people who have taken DNA tests who descend from that ancestor. It’s invaluable.

Normally, you have to work with matches to identify your common ancestor. WikiTree works the other way around. Your starting place is with the ancestor.

You can’t Google your mystery ancestor’s name because if you knew their name, they wouldn’t be a mystery ancestor – but you can Google their spouse or a child.

I’m using an example from my own line because my mitochondrial DNA results are connected to her.

I’m Googling:

Barbara Mehlheimer born 1822 died 1906 in Indiana at WikiTree

Google was slightly confused but the results got me to where I needed to go.

Barbara Mehlheimer married George Drechsel and her daughter was Barbara Drechsel who married Jacob Kirsch.

First, check Barbara’s WikiTree profile card to confirm you’ve found the correct person.

Next, click on the DNA tab beneath her profile information (or just scroll down). She has four DNA Connections.

You can see that one person, me, who carries Barbara’s mitochondrial DNA has connected their DNA to Barbara’s profile. I did this by entering my DNA information on my WikiTree profile, then WikiTree connects my DNA haplogroup information from mother to mother to mother to Barbara and propagates my DNA haplogroup to her, her matrilineal ancestors, and their female descendants. If you click on the haplogroup, it takes you directly to that haplogroup in Discover.

Three people have connected their autosomal results to Barbara. This information can be very important, and not just for mitochondrial DNA. It allows us to identify autosomal testers we may match at different testing companies who descend from Barbara.

In your research journal, make notes of these names, testing companies, and kit numbers. Remember that this doesn’t mean the company noted is the only place someone has taken an autosomal DNA test. I’ve tested at all of the major companies, but only GEDmatch and FamilyTreeDNA are listed here.

For Y-DNA and mitochondrial DNA, the haplogroup is shown, although when testers receive a new Y-DNA or Mitotree haplogroup, they seldom think to revise it in WikiTree. This means their current haplogroup may be more specific and improved since the WikiTree information was entered.

Some people may have tested at different levels too. In this case, Buster Estes, who is now deceased, was one of the earliest testers, long before the Big Y tests were available. He only took a 25-marker test, so his haplogroup was predicted as R-M269. Garmon, on the other hand, was able to upgrade his Y-DNA test to the Big Y-700, and his haplogroup is much more refined at R-ZS3700. Their haplogroups don’t match exactly due to the levels at which they tested, but they also don’t preclude the two testers from belonging to the same genetic line.

This screenshot of Discover’s Compare function illustrates how important the Big Y-700 test is when compared to the STR test’s predicted haplogroups. The man who developed the mutation that defines R-ZS3700 lived about 1750 CE, and the man who developed R-M269 lived about 4450 BCE, or 6,450 years ago. That’s a big difference.

Using a combination of multiple testers and genealogy, we’ve identified the man who developed R-ZS3700 and passed it on to his sons. Moses Estes was born in 1711 in Virginia and all of his descendant testers carry R-ZS3700.

Now that’s extremely useful information, because we know that any man with haplogroup R-ZS3700 descends from Moses Estes in a direct paternal line, and any man whose haplogroup is not R-ZS3700 or doesn’t include R-ZS3700 upstream of his haplogroup does not descend from Moses Estes in that way.

Please add your DNA tests, including haplogroups and your kit number, to your profile at WikiTree so that the haplogroup information can be populated appropriately to your ancestors.

Searching for a Test Candidate Using Autosomal Descendants

When you’re searching for a testing candidate at WikiTree, you can click through to the tester’s profile and view exactly how they descend from the ancestor shown.

Let’s say that no one has linked a mitochondrial DNA test to the ancestor you’re searching for, but several people have linked autosomal tests to that ancestor’s profile card.

Click on the tester’s name and then on the DNA Ancestors tab to see how they descend from that ancestor. If you’re lucky, you’ll find someone in the autosomal list who is a mitochondrial DNA testing candidate.

If you’re looking for a Y-DNA tester, begin by looking for a male with the same surname as that ancestor. If you’re looking for a mitochondrial DNA tester, you’ll need to view each tester’s ancestors.

Regardless of whether they are a mitochondrial or Y-DNA testing candidate, you’ll identify your most recent common ancestor (MRCA) for each person, information that will become essential for the autosomal tools that we’ll be discussing in future articles.

In your research journal, I suggest that you record all of their descent information now, including their names, where they tested, your MRCA, kit numbers and any other relevant notes.

If you’d like to ask them to take a specific test, or if they already have and you’d like to know more, you can message WikiTree users by clicking on their profile, and then on the little envelope beside the profile manager’s name.

Finding Your Ancestor’s DNA Descendants at WikiTree

Let’s say that no one in the DNA list of people who have already taken tests descends from your ancestor matrilineally. Don’t worry, there are still more options!

At the top of the WikiTree page for that ancestor, click the down arrow, then on DNA.

The default tab shows the DNA Ancestors of the profile you’re viewing. You’ll see Y-DNA for males, and both mitochondrial and X-chromosome ancestors for everyone.

You may notice that there’s an ancestor listed for your brick wall ancestor. That’s wonderful, but don’t jump for joy quite yet. Remember, WikiTree is a one-world tree, and you need to verify the underlying genealogy in every tree here, and at every vendor.

Always confirm using multiple sources, meaning resources other than trees. The great thing about WikiTree is that there are often several sources listed in each person’s profile, and other resources that can help immensely. I love WikiTree, but I’m always skeptical of information in any tree, and I prove everything to my own satisfaction. I wrote several articles about that topic in the Genealogy Proof Series, here.

To find testers, you’ll need to view your ancestor’s DNA Descendants.

Click on the DNA Descendants tab.

The Mitochondrial DNA Descendants view shows potential candidates for mtDNA testing. Remember, in the current generation, males and females can both test so long as they descend from that ancestor through all females.

In the case of Barbara Mehlheimer Drechsel and her descendants, there are several males who are immediately eliminated because they’ve been deceased for more than a century, and several daughters who didn’t have children.

Not every person’s line on WikiTree has been added or developed. You can see that three daughters’ lines that might hold candidates don’t list all their children, and I still need to research two additional people. That means I still have five candidate lines to extend that have potential mtDNA testers.

So, in summary, if Barbara was the ancestor I was seeking:

  • One person has already tested
  • Three daughters don’t have their families extended.
  • Two have daughters that I need to research.

For both Y-DNA and mitochondrial DNA, I like to have at least two people who descend from different children of the ancestor, and whose tests match at a level that does not preclude that lineage. This helps confirm both the genetic line and the genealogy of both testers.

With male ancestors, having more than one tester for each line through different siblings is essential.

Kit Numbers, Earliest Known Ancestors and Google

When DNA kit numbers are included at WikiTree, you’ll want to Google to see if that kit number is shown in a public Group Project at FamilyTreeDNA where you may find more information.

The exact search string to use to find a specific kit at FamilyTreeDNA within projects is:

“9993” site:familytreedna.com

Replace 9993 with the kit number you’re interested in. You can also add the word “projects”, without quotes, to the end of that string to omit forums and limit the search to within projects. This string both focuses and limits the search, filtering out most noise.

By clicking on “read more,” you’re taken directly to the Estes Family Surname Project Y-DNA page.

The green haplogroups are SNP-confirmed, unlike the red predicted haplogroups from the lower-level 12, 25, 37, 67 or 111-marker tests. The R-ZS3700 haplogroup was obtained from the Big Y-700 test, so it is the most granular and specific. If this is your line, you’ve just found your ancestor’s haplogroup. It’s also possible that, by testing, you could receive an even more specific haplogroup.

Please note that haplogroup R-M269 is the most common haplogroup in Europe, and isn’t specific enough to use for anything other than very basic information. It can rule out two people with different base haplogroups, like haplogroup I or J, for example, as descending from a common patrilineal ancestor.

Project administrators are all volunteers, and each administrator groups their Group Project members differently, so take a few minutes to review the project pages. You may find additional testers who have joined this project who descend from your ancestors or your ancestral line.

You may also find other lines with the same surname and a substantially different haplogroup, which tells you that there are multiple genetic lines with the same surname. I have one example of this in the same county, at the same time, found in men by the same exact name – think John Smith. So frustrating. Without DNA testing, we would NEVER have sorted through those two same-name but completely different lines.

However, finding people who match your ancestor’s DNA but don’t have your earliest known ancestor (EKA) may be just the clue you need to knock down that brick wall. How are your ancestor and that other person’s EKA connected, and in what timeframe? Do they share a surname? A location? Are there other clues?

It’s unlikely that you’ll be able to use a kit number to Google unless you find one at WikiTree, but you can still search using the oldest name in that line that you know.

nicholas ewstas site:familytreedna.com

Replace the kit number with your EKA, in this case, “Nicholas Ewstas” in the search string, either with or without quotes. This takes you to the same page and any other projects that someone may have joined using exactly that earliest known ancestor’s name. Keep in mind that you’re only looking at their oldest ancestor, not every ancestor between them and their EKA. Your brick wall may lie someplace in there, which is why you need to check matches and view their trees.

Since women’s surnames change in every generation, they generally won’t be found in specific ancestral surname projects like men. This makes Googling using the ancestor’s name even more important.

catherine lejeune site:familytreedna.com

We don’t know who Catherine LeJeune’s mother is, so finding that someone has entered Catherine as their EKA may be critically important.

This is especially important for female brick-walled ancestors, since using this Google string with their daughters’ names may reveal someone else’s EKA in that genetic line within a project.

After clicking through to the project page, be sure to enlarge the page to display the full project, and use your browser search since partial results with predicted haplogroups may not be grouped with full mitochondrial sequence results.

Multiple people who descend from Catherine LeJeune have tested. The first six only took the partial test years ago. The bottom two testers took the full sequence test and have a new Mitotree haplogroup – U6a7a1a. We know that Catherine was born about 1633, in France, and we can see that other people have also tested and list different EKAs. Next, it’s time to research the other ancestors shown, or check WikiTree to see if any of these testers are listed there so you can contact them.

Now that you have found your ancestor’s haplogroup, you can use the free version of Discover to learn more. I wrote about using mitochondrial DNA and Discover in the article Mitochondrial DNA A-Z: A Step-by-Step Guide to Matches, Mitotree, and mtDNA Discover.

Now, let’s move to the DNA testing companies to see how we can find our ancestors’ Y-DNA, mitochondrial DNA, or testers, at 23andMe, FamilyTreeDNA, Ancestry, and MyHeritage.

At 23andMe

23andMe is not a genealogy company. That said, if you can figure out how people are related to you, you might be able to obtain a partial haplogroup for an ancestor. 23andMe shows both Y-DNA and mitochondrial DNA haplogroups to autosomal matches, but there is no Y-DNA or mitochondrial DNA matching, or associated tools.

23andMe caps matches without a subscription at only 1,500, and they don’t support trees, so I struggle to find useful haplogroups without an associated surname.

Browsing or searching your 1,500 allowed matches (you can have around 5,000 with a subscription) for a particular surname may provide you with an abbreviated haplogroup for both male and female ancestors.

Despite my best efforts, while my maternal grandfather’s mother is not unknown, nor are her ancestors for several generations reaching back into Germany, I’ve been unable to find her mitochondrial haplogroup. Evaline Miller (1857-1939) was born and died in Kosciusko County, Indiana, where she married Hiram Bauke Ferverda, an immigrant from the Netherlands.

Ferverda is an unusual surname, so let’s use it for our example. Thankfully, I’m not dealing with something like Smith.

I entered Ferverda in the 23andMe search bar and it shows four results, two of which are in the 2C-3C range, and one that’s further distant.

I already have the Ferverda Y-DNA, so I don’t need that, but I do need the mitochondrial DNA of Eva Miller Ferverda, and I really don’t want to sift through Miller surnames.

I know who Mr. Ferverda is on my match list, and which ancestor we share. His mitochondrial DNA is not Eva Miller’s.

Fortunately, I know who Eva’s parents were, as shown above on my MyHeritage tree, so I can search for Ferverda, Miller, Lentz, Ruhle, Wolflin, and Heubach, several of which are unusual. Reaching back into Germany is difficult.

It’s likely I match all four of those people at 23andMe through a common lineage that descends from either Hiram Ferverda, Eva Miller, or both. Let’s see what I can put together.

Emily is estimated to be a 2C2R. She is younger than I am based on the birth year she provided in her profile which I am not showing for privacy reasons. Emily also stated that her maternal grandmother was born in Warsaw, Kosciusko County, Indiana, and provided family surnames that include Ferverda, Miller, Glant, Zimmermann, and others.

Kosciusko County is where Evaline Miller lived with Hiram Ferverda, and their daughter, Margaret, married Chester Glant. Margaret Ferverda Glant’s daughter, Joyce, was born in Kosciusko County and married a Zimmerman.

But now, I was stuck. That’s all I had in my desktop genealogy software.

I shifted to Ancestry, where I discovered a death certificate and other information that provided what I needed to close the gap.

This information confirmed Emily’s statement that her maternal grandmother was born in Warsaw, Kosciusko County, Indiana.

Therefore, drum roll…Emily carries Eva’s mitochondrial DNA haplogroup, which is T2b.

Let’s move on to the other two matches, both of whom carry haplogroup T2b.

Ian’s maternal grandmother’s birthplace is Leesburg, Kosciusko County, Indiana, and his surnames include both Ferverda and Robison.

Eva Miller Ferverda’s daughter, Chloe Ferverda, married Rolland Robison and had a daughter, Charlotte, whose daughter married a man with Ian’s surname. Their information allowed me to connect the dots appropriately. Ian’s mitochondrial haplogroup is also T2b, which confirms Eva Miller’s mtDNA haplogroup through a second child.

Shirley, the third match who carries haplogroup T2b, also shows the surnames of Ferverda and Robison, and tracks back matrilineally to Eva Miller.

In spite of the many challenges at 23andMe, and thanks to the rare surname of Ferverda, I’ve identified Eva Miller’s partial haplogroup, but not her full haplogroup. A partial haplogroup is much better than nothing and gives me something to work with.

I checked at Ancestry, MyHeritage and FamilyTreeDNA to see if any of those three people have tested there and have trees. Indeed, Ian tested at FamilyTreeDNA and I had corresponded with him and made a note that he is a matrilineal descendant of Eva Miller Ferverda, but he has not taken a mitochondrial DNA test there.

We know that if Emily, Ian, Shirley, or another appropriately descended person were to take a full-sequence mitochondrial DNA test, we would learn a LOT more about Eva’s mitochondrial DNA. If I can’t locate someone who has already tested, I’ll reach out to these people at 23andMe and offer a scholarship for a full-sequence mtDNA test.

It’s ironic that at the most restricted and least likely testing company, I found three people descended from Eva Miller. Hope springs eternal.

Unfortunately, T2b was formed about 8450 years ago and is a very broad haplogroup made up of many subclades, but at least I have something now – and this partial haplogroup may be just the seed I need to lead to more.

Now, let’s move to FamilyTreeDNA and hope that someone there has already taken the mtFull test.

At FamilyTreeDNA

There are multiple ways to find the Y-DNA or mitochondrial DNA of your ancestors at FamilyTreeDNA.

Project Search

You can search for surname projects along with other types of projects.

On FamilyTreeDNA’s main page, without signing in, scroll all the way to the very bottom footer where you will see the Group Projects link.

If you’re searching for a surname, enter that surname in the search box.

The next screen shows projects that people with the Estes surname, including females, have joined. This includes all types of projects and does NOT mean that these projects are relevant to your line, but it does include two surname projects you may find useful.

Scrolling down shows you how many people with the surname of Estes have tested. Keep in mind that some will be females, some use married names, and sometimes people use an alias, so they aren’t included in this count.

Surname projects for females aren’t terribly helpful since the surname typically changes in each generation, at least in Western cultures.

You can also search for keywords, such as Acadian. If you know that ancestral line is Acadian, you may find clues there, including descendants of your brick-wall ancestor.

Group Project Time Tree

Many Group Projects at FamilyTreeDNA have enabled the Y-DNA Group Time Tree feature. When visiting the project, if the administrator has the Group Time Tree enabled, click on that link under the DNA results tab.

The Group Time Tree is a genetic tree of Y-DNA testers within that project based on the groups created by the project administrator.

The groups constructed by the administrator are shown at left, the Time Tree in the middle, and the testers with their EKAs and country of origin flags at right. I’ve added the red text to reflect the Estes genealogical lineage.

Based on the timeline at the top, you can see how closely these Y-DNA testers are related in time. Each haplogroup shown represents a different branching genetic lineage – breadcrumbs at work. If you are a genetic Estes male who descends from the Estes family that originated in Kent, England, and you take the Big Y-700 test, you’ll be a member of R-BY482 or its descendant haplogroups.

Keep in mind that not all testers join group projects, so it’s likely that there will be matches on your match list that aren’t here. Furthermore, only Big Y testers appear on any Time Tree.

The Group Time Tree is public, but when you sign in to your account and click on the Match Time Tree from your account, you’ll be able to view more, including testers’ trees and WikiTree connections if your matches have connected themselves to WikiTree.

Click to enlarge

I’ve converted the Estes genetic tree into a genealogical tree in a spreadsheet based on the trees of DNA matches. I’ve also included STR testers, because they are good candidates to upgrade to Big Y tests, and they are shown in the Estes Group Project. They can’t be included in the Time Trees because they don’t have the SNPs discovered with the Big Y tests. Please note that not all testers were included in this spreadsheet.

You can follow the paths of the various haplogroups. All of the red-background, black-outlined cells are Big Y-500 or Big Y-700 testers. The Big Y-500 was obsoleted several years ago in favor of the much more informative Big Y-700 test, which reveals additional haplogroups because it tests more of the Y chromosome. I’m still hoping that people will upgrade, although some testers are deceased and can’t.

The Big Y-500 tests with red stars are candidates to be upgraded to the Big Y-700 to potentially receive a more specific haplogroup. The balance of the tests in red cells are Big Y-700 tests, which identify several additional Estes haplogroup paths.

Let’s look at an example.

Beginning at the top, we know that R-BY482 is present in Nicholas Ewstas, born in 1496 in Kent, England, because all of his descendant testers carry that haplogroup too. Additionally, three generations later, in Silvester’s generation, he developed the additional mutation named R-BY490. We know it developed in Silvester’s generation for two reasons:

  • The descendants of Silvester’s brother, Robert, born in 1603, do NOT carry R-BY490. Robert’s son Matthew’s descendants only carry R-BY482.
  • The descendants of both of Silvester’s sons, Richard (pink column) and Abraham (the entire green row), all carry R-BY490.

All of the descendants of Silvester’s son, Abraham, born about 1647, the Virginia settler, who have taken the Big Y test carry R-BY490. Additionally, descendants of several of Abraham’s sons, color-coded columns beneath the green row, have developed additional haplogroups. Several more testers would likely have new haplogroups if they took the Big Y-700 test. A new haplogroup requires at least two men with the same unique mutation (breadcrumb), in addition to R-BY490 (in this case), to identify a specific lineage and assign it a new haplogroup name.

Abraham’s son, Moses Estes, born in 1711, is a good example. We know that Moses developed the mutation R-ZS3700 because four of his descendants have taken the Big Y-700 test and have that mutation that is not found in Moses’s brothers’ lines. All four Moses descendants carry R-ZS3700, and two, in the James Carroll Estes line, have developed an additional mutation, haplogroup R-BY154784.

Until Big Y testing became available, descendants of the R-BY154784 lineage didn’t know where they fit in the Estes tree, because the connecting genealogical records between Missouri, where their ancestors are found, and Virginia, where they came from, were missing.

Therefore, if you don’t carry the Estes Y-DNA, but you can find your ancestral line in projects, you can potentially do two things:

  1. Identify the specific lineage to which you belong, especially if you have access to your relative’s test results, including matches and trees.
  2. Without matches, you may still be able to identify at least some haplogroup levels, such as R-BY482 or R-BY490, which opens the door to:
    • Using autosomal results to find matches with Estes-specific haplogroups
    • Using Discover to utilize the dozen+ public reports available for everyone
    • Asking people to upgrade

While I’ve been using the Estes DNA results because it’s a project I administer and the one with which I’m the most familiar, this same approach works for mitochondrial DNA as well, especially if you can identify your ancestor’s DNA in a project.

Finding Projects in Discover

The public version of Discover provides surname and project searches as well, but works a little differently.

Select Group Project and enter the term you wish to search for.

Clicking on the project takes you directly to that project’s Group Time Tree where you can identify your ancestral line.

People who have tested at FamilyTreeDNA can join projects. Many projects accept autosomal testers who descend from that family line.

To join projects, sign in, then from your home page, click on “Group Projects” in the header, and make your selection.

Search for Surnames in Family Finder Autosomal Matches

Now that you’ve identified your ancestor’s haplogroup, you can use that information to find, rule in, or rule out various people in your Family Finder match list as your ancestors’ haplogroup carriers.

FamilyTreeDNA displays the haplogroups of your autosomal matches who have taken the:

The Family Finder test doesn’t test either the Y chromosome or mitochondria fully, but it target-tests a selected number of non-autosomal haplogroup-defining locations. The haplogroups that Family Finder identifies are typically midrange, meaning they are from roughly 2,000 to 5,000 years old. Furthermore, different tests on different chips at different times didn’t always test the same locations. This relatively new Family Finder haplogroup feature is free.

Uploaded DNA tests from other vendors may or may not receive a haplogroup, but regardless, it will NOT be displayed to their matches. Not all other vendors test or include Y-DNA or mtDNA SNP locations in their upload files, and your mileage may vary widely.

My cousin David has taken the mtFull test, so his mitochondrial haplogroup is the most refined possible, but his Y-DNA haplogroup of R-L151 was derived from his Family Finder test. Haplogroup R-L151 is about 5,000 years old. If I needed his haplogroup, it’s useful to rule out other major haplogroup branches that might be found in other men by the same surname. Plus, I can learn quite a bit from Discover.

Haplogroups are displayed in your Family Finder match list for everyone who has taken a Y-DNA or mtDNA test, but currently, only Y-DNA haplogroups are provided for Family Finder results. Midrange mtDNA haplogroups are planned for sometime in the future.

There are several methods to search for either a specific surname or haplogroup within Family Finder matches.

Let’s use my Ferverda/Miller/Lentz haplogroup T2b revealed at 23andMe. That haplogroup would almost assuredly be broken down further with full-sequence testing, and it might have been renamed as a different subgroup of haplogroup T in the new Mitotree.

Let’s begin with searching for haplogroup T2b.

The search bar allows users to select Name, Ancestral Surname, mtDNA Haplogroup or Y-DNA Haplogroup.

You’ll notice that there are a total of 59 results that include T2b as a part of the haplogroup. The mitochondrial lineage I’m seeking is my mother’s paternal grandmother, so the matches should be on my mother’s side, although there is no guarantee I don’t match someone autosomally on my father’s side too.

I checked the trees of all 59 people in the T2b category, and unfortunately, none descended from the line I need.

If you change search terms or categories, be sure to clear your filters.

Under the Filter option, you can filter for several options in addition to searching.

For our next example, I’ve selected both the Big Y-500 and Big Y-700 tests, and searched for Ferverda.

I already have the Ferverda Big Y-700 haplogroup, but if I didn’t, I would now!

Don’t forget that you can sort by any number of fields, and you can download your entire match list into a csv file. I find that easier because I can search, sort and filter at will.

Don’t forget to check back from time to time as more matches are added.

Utilizing Haplogroup Projects

Under the Group Projects header, or by Googling for a haplogroup T2 (or T, or T2b, etc.) at FamilyTreeDNA, you can view the haplogroup T2 project, and filter for haplogroup T2b or any subclade.

Be sure to expand the project’s page size to display the entire project. It defaults to displaying 25 rows at a time, but you can see the number of pages at the bottom of the page. I expanded the page size to 5000 so that I can use my browser search for known surnames in the mitochondrial line.

By using my browser search and searching for each known surname by generation, I searched for Ferverda, Miller, Lentz, Ruhle, Wolflin and Heubach.

I was VERY excited for a minute when I found a Lydia Lentz listed as a tester’s EKA.

Because the female’s surname changes in every generation, there’s only one family in this lineage that Lydia Lentz could have been a member of to represent the mitochondrial DNA of Eva Miller whose mother was Margaret Elizabeth Lentz.

So, the question is whether or not Lydia Lentz is the sister of Margaret Elizabeth Lentz.

Shifting to my desktop software, it’s easy to see that Jacob Lentz and Johanna Frederica Ruhle had four Lentz daughters who lived to marry and have children. None of those daughters were named Lydia, so the Lydia Lentz EKA in the haplogroup T2 project is not representative of Eva Miller’s mother and grandmother.

Margaret Elizabeth Lentz is Eva Miller’s mother, and I had already searched within the project for Miller. I added Yost, Gallagher, and Overlease to the browser search in the haplogroup T2 project with the hope that someone might have listed a woman with one of those surnames as their EKA, but no such luck.

Not everyone joins projects, or provides their earliest known ancestors, but I didn’t find the surnames of any of the females in my known line here.

Let’s see if Ancestry can help.

At Ancestry

Ancestry doesn’t do Y-DNA or mitochondrial DNA testing, so you won’t find your ancestors’ Y-DNA or mtDNA at Ancestry, but their trees can help you find testers.

Let’s shift to Louisa Drechsel, one of the daughters in the Mehlheimer/Drechsel line we were working with earlier that needed more research.

I looked at the hints for Emma Louisa Drechsel, who was always called Louise or Aunt Lou in my family, and discovered another Ancestry member with Emma in their tree.

I clicked through to the tree to discover that the tree’s home person does not descend from Barbara matrilineally, which means they are not a candidate for Barbara’s mitochondrial DNA.

I then clicked on the tree owner’s name to see whether they happen to be an autosomal DNA match to me. They are not. Without messaging them, there’s no way to know whether they have taken a DNA test, and there’s really no point since they are not a mitochondrial DNA candidate.

While I’m at Ancestry, I’m going to check ThruLines to see if anyone who is an autosomal DNA match to me also descends matrilineally from Barbara. There are no autosomal matches shown who have our common ancestor in their tree, and who are mitochondrial candidates.

Remember, a male between the ancestor and the testing candidate always blocks the mitochondrial DNA path.

These people are all autosomal DNA matches.

There may be descendants who either aren’t DNA matches or who haven’t tested who might be mitochondrial candidates. They can be located by checking Ancestry’s trees for our common ancestors and determining how the tree owner relates to that ancestor, if they do.

Compare Trees is New

Ancestry recently introduced “Compare trees”, a new beta feature. It may not be fully rolled out to everyone yet, and because it’s in beta, the feature may change.

To access this feature, go to your tree, not their profile card.

I clicked on Barbara Mehlheimer’s link in my tree, which displays this little mini-profile. Then click on “Compare trees” at the bottom.

Ancestry displays your tree, at right, and the other tree, at left. You can select another tree to compare at top right.

Ancestry’s comparison only shows a total of three generations – the selected person, their parents, and their children.

The person I actually want to follow is Louisa, but if you click on Louisa’s card here, it simply compares the two Louisas – it doesn’t shift down a generation.

This means that to follow more recent generations, you have to go back to your tree, select someone further down in the tree and repeat the process.

This process is cumbersome, but doable thanks to the new Compare Tree function. I’ll come back to this after checking the rest of the “easier to harvest” fruit from other resources. Remember to make notes in your research journal so you don’t forget where you left off – although trees are always changing.

MyHeritage has one of my favorite tools.

At MyHeritage

Recently, MyHeritage has begun providing midrange Y-DNA haplogroups for some of their DNA testers. If you’re one of the lucky testers, you can use the free Discover tool to learn about your haplogroup, but a haplogroup alone won’t help you much with genealogy. You need matching and advanced tools for that.

Unfortunately, you can’t see the haplogroups of your matches, so you can’t search or filter using that criterion. You can, however, ask any men with the surname you’re seeking if their haplogroup is displayed.

Cousin Finder

MyHeritage has an ingenious tool called Cousin Finder that I wrote about here. Cousin Finder helps you find cousins who share common ancestors with you, regardless of whether or not you are a DNA match.

MyHeritage found 531 people in their database that share ancestors according to both their and my trees.

This list of matches doesn’t page; it scrolls, so I made a spreadsheet of the people who are relevant to my search for my brick-walled ancestor. Scrolling becomes difficult and very slow as you proceed down the list. I didn’t want to have to do this twice.

You can improve performance by using the relationship side filter. Because your ancestors match, MyHeritage knows on which “side” of your tree your common ancestor is found.

At this point, I’m interested primarily in identifying Y-DNA or mitochondrial DNA candidates for a specific ancestor.

Using the Drechsel/Mehlheimer line as our example, I’ll search on my mother’s mother’s side.

We already met Patty at WikiTree, but let’s pretend we don’t know Patty. I can click on “View her tree” to see Patty’s whole tree, or I can click on “View Relationship,” which shows how we are both related to our common ancestor.

As we know, for mitochondrial DNA, any male in the line between the ancestor and the testing candidate blocks the mitochondrial DNA path. Patty inherited her mother’s mtDNA, not her father’s.

I didn’t forget about Eva Miller Ferverda either.

I searched for cousins who descended from my mother’s father’s side to find mtDNA candidates for Eva Miller and didn’t find any. But I did find an entirely unexpected bonus.

My mother’s father’s line shows all the connections on that side. While clicking through each one, I quite serendipitously discovered a mitochondrial DNA candidate for Eva Miller’s husband’s great-grandmother, Anna Elizabeth Jonker, AND, separately, a potential Camstra Y-DNA tester too. Oh, happy day!

It was only later, while working on my genealogy for Frederica Ruhle and hoping to discover where she actually lived in Pennsylvania, that I discovered that MyHeritage has put a Cousin Finder link in each ancestor’s profile.

Who doesn’t love a pleasant surprise?!

You no longer need to sift through all of your cousins on a particular side, but remember, had I not done that, I wouldn’t have found either the mitochondrial descendant of Anna Elizabeth Jonker nor the Camstra Y-DNA candidate.

At FamilySearch

FamilySearch is more challenging and is best for fleshing out trees where not much research has been done. Remember that FamilySearch has access to records that are not available at either Ancestry or MyHeritage.

FamilySearch is a one-world tree. Like all trees, it’s subject to errors, so caution is always advised.

At FamilySearch, from your profile card in the tree, locate the ancestor whose Y-DNA or mtDNA you seek.

Then click on that person. Their profile card will pop up. Click on “Tree,” then, at the top right, select Portrait.

Now you can expand their children downward. Note that the little “two people” in the top left corner of the profile card means there are multiple spouses. The only way to view all of the children is to click on that person’s placard, then select the alternate spouse.

Living people have no placeholders on this tree.

You can contact contributors who provided information on a profile in the tree.

Click on the source provider’s name to see if they are related, and click on the little tree icon to see how.

However, once a year, there’s a great way to contact interested descendants.

Relatives at RootsTech

RootsTech is the largest genealogy conference in the world, and it’s sponsored by FamilySearch.

About six weeks before RootsTech takes place each year, and for about a month after, you can participate in Relatives at RootsTech.

During that time, you can select an ancestor and see which other people who have signed up for RootsTech also descend from that ancestor. I wrote about how to do that in the article, Relatives at RootsTech Reveals Cousins and Provides DNA Candidates. I almost always find someone who descends from an ancestor whose Y-DNA or mtDNA I need for my tree.

It’s a wonderful opportunity to meet new cousins and collaborate.

At GEDmatch

GEDmatch is an autosomal DNA upload site that offers a variety of matching and display options. While they don’t attempt to calculate a haplogroup, uploaders can enter their mtDNA and Y-DNA haplogroups, if known.

GEDmatch isn’t normally a resource we think of for either Y-DNA or mtDNA, but it can be useful under some circumstances.

In the One-To-Many limited free version and the Tier 1 subscription model, you can view haplogroups if someone has entered their haplogroup name, but you can’t filter without the Tier 1 version.

I filtered for haplogroup T2b and found one person in the match list with haplogroup T2b4. I then viewed the GEDCOM that this person has also uploaded, but they do not descend from Eva Miller Ferverda’s line.

GEDmatch isn’t built for haplogroups, but sometimes, if you have a known haplogroup that isn’t terribly common, you can catch a lucky break there.

Where AM I?

OK, so where am I in all of this?

I feel like I’ve searched the corners of the earth!

I’ve primarily used two examples.

  • My own mtDNA line which is the Drechsel/Mehlheimer line that I chose because it’s a great example that I knew well.

If I had actually been searching for a testing candidate, we would easily have eliminated several possibilities. Five female lines remained as possibilities that need additional research, plus my own test if someone were actually searching.

  • Then there was Eva Miller Ferverda (1857-1939), whose partial haplogroup, T2b, was discovered at 23andMe in three matches. I was able to reconstruct their trees, confirming that this was her line, but I was unable to find any testing candidates elsewhere.

Each of the DNA testing and genealogy vendors provides a way to communicate with other users of their platform.

  • At both 23andMe and MyHeritage, you can message through their platform.
  • At FamilyTreeDNA and GEDmatch, you can email your matches.
  • At WikiTree, you send an email through their platform to the profile card manager.
  • At FamilySearch, you cannot see placeholder cards for living people, so you need to check to see if people making changes to that ancestor’s profile are related. Then check their children closest to the present day for the same information. You can message through the FamilySearch platform.
  • During Relatives at RootsTech, you can message your cousins through their platform. The great thing about these folks is that you know they are interested and engaged, because they’ve just signed up for RootsTech.

Communicating With Testing Candidates

I’m fortunate that there are three mitochondrial descendants of Eva Miller Ferverda at 23andMe, one of whom is also at FamilyTreeDNA. I will message or email all three of them individually with a short, customized message that contains:

  • How I am related to our common ancestor.
  • A question about whether they have taken the mtFull test, or any test, at FamilyTreeDNA. If they have taken any test there, it’s easy to upgrade.
  • A sentence about how FamilyTreeDNA was the original genetic genealogy founder of this industry and the only company to offer the full mtDNA and Y-DNA tests.
  • Why they can benefit from taking the mtFull test and how it can help us learn more about our common ancestor.
  • An offer for a full-sequence mitochondrial DNA testing scholarship if they have not already taken that test.
  • I ask if they are interested and provide my email in case they have questions or want to discuss further.

Depending on how much space I have for the message, there are two articles I often provide links to in case they are unfamiliar with either Y-DNA or mtDNA testing.

  1. 4 Kinds of DNA for Genetic Genealogy is a very basic article for people who might be unaware that there is any type of DNA testing other than autosomal. This is often the case with Ancestry.
  2. The article Mitochondrial DNA A-Z: A Step-by-Step Guide to Matches, Mitotree, and mtDNA Discover is an in-depth article about using mtDNA. This is a wonderfully educational how-to article, but I always hesitate before sending this one because I don’t want their eyes to glaze over.

Scholarships

I gladly and eagerly offer scholarships for both Y-DNA and mtDNA testers from lines I need to represent my ancestors.

I equate scholarships to finding a rare out-of-print book about that exact family line, with only one or two copies still in existence, and only one accessible in a rare book shop in Podunk, Idaho. I would book a flight tomorrow at 5 AM to go and pick it up in person even if I had to eat beans and hot dogs for the next six months to pay for it. If you know me, you know I’m not kidding! I’ve gone on many wonderful road trips to meet with and collect DNA samples from cousins.

A Y-DNA or mtDNA test doesn’t cost nearly as much as that excursion and is even more reliable, because we know the DNA results are accurate – assuming the tester’s genealogy is accurate, which you should verify, and no undocumented adoptions or broken lineages have occurred.

Good luck on your treasure hunt!

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2025 Genetic Genealogy Retrospective: Wow – What a Year!

2025 has been quite a year in genetic genealogy. Genetic genealogy, per se, really isn’t a separate “thing” anymore. DNA testing is now an integral part of genealogy, with the potential to answer questions that nothing else can!

The 76 articles I wrote in 2025 fall into multiple categories and focus on different topics based on what was happening in the industry.

From my perspective, here are the most notable announcements and trends in genetic genealogy, and genealogy more broadly.

#1 for 2025 – Mitochondrial DNA: The Million Mito Project Released the New Mitotree, Updates, and mtDNA Discover

The biggest genealogy news items this year, both industry-wide and genealogy-changing are definitely the release of the new Mitotree, plus two tree updates. But that’s not all.

In addition, full sequence mitochondrial DNA testers received new Mitotree haplogroups, if appropriate, and everyone received a haplotype – a new feature. Along with Mitotree, FamilyTreeDNA introduced mtDNA Discover which provides 13 individual reports based on your haplogroup and matches.

It’s no wonder that mitochondrial DNA articles led the pack with the most views based on the eleven articles about that topic. If you haven’t yet tested your mitochondrial DNA at FamilyTreeDNA, there’s no better time! You never know what you’re going to discover and the more testers, the more matches for everyone.

You don’t know what you don’t know, and you’ll never know if you don’t test. Remember, mitochondrial DNA is for both males and females and tests your mother’s direct matrilineal line (mother to mother to mother, etc.) – reaching beyond known surnames.  Click here to order or upgrade.

#2 – MyHeritage Low Pass Whole Genome Sequence Test Charges into the Future

Another big hitter is the new MyHeritage low-pass whole genome test (WGS) test. It’s new and innovative, but we haven’t seen comparative results yet.

My results from the new low-pass whole genome test just came back, and I haven’t had the opportunity to review them yet, as compared to the earlier tests. That said, I do have roughly the same number of matches, but I need to determine if they are the same matches, and how well they track. I’ll be working on that review soon.

The new whole genome test may be more about future proofing and preparedness than additional current benefit – but we will see. I definately wanted to take the whole genome test so I can receive and benefit from whatever new is coming down the pike.

MyHeritage allows you to maintain multiple DNA tests on your account, so the new whole genome won’t “replace” your older or uploaded test. That way, you can easily compare the results of the whole genome against any DNA test that you curently have at MyHeritage.

Click here to order the new test.

#3 – 23andMe Experiences Problems

On a less positive note, but still quite newsworthy is the bankruptcy of 23andMe and subsequent repurchase of 23andMe by the original founder after setting up a new nonprofit. I have real mixed feelings about this topic. However, 23andMe was really never about genealogy, and now, matching segment information is no longer available. Those searching for unknown parents or family may want to test there if they are unsuccessful elsewhere.

Best Genealogy Tool

The FamilySearch full text search continues to have a HUGE impact for genealogists. This tool is not one-and-done, but provides increasing amounts of rich information as more records are added to the “fully scanned” collection. If you haven’t tried it, please do. It’s a game-changer and continues to improve.

A Cautionary Word About AI – Artificial Intelligence

AI is such a hot topic right now that I feel it needs to be included.

The FamilySearch full text search uses a form of AI. However, you’ll quickly notice that it can’t read everything, gets words and names wrong, and if you actually need to fully depend on it for accuracy, you cannot. (That said, it’s still an amazing tool, and I’m not picking on FamilySearch.)

Aside from FamilySearch, AI in its current form is both wonderful and terrible. I’ll be writing about AI in the new year, but for now, don’t ever rely on AI for anything that you can’t verity. It’s your assistant, not an expert, no matter how insistent it is. Never trust and always verify.

This is ESPECIALLY TRUE WHEN RELATED TO GENETICS and genetic related topics. I can’t even begin to tell you how very wrong it has been, and how much people fall in love with inaccurate results. No, just no – at least for now.

You need to know your AI tool, your skill set, your understanding of AI broadly, the tool’s limitations, and yours, and that’s all before verifying the actual AI results. If you want to educate yourself, and everyone should, treat yourself to anything, anyplace by either Mark Thompson or Steve Little, the dynamic AI duo. They offer YouTube videos and classes in a wide variety of places – but keep in mind that AI tools and technology literally change every few weeks.

AI is, indeed, a specialty all unto itself, much like genetic genealogy. And right now, it’s not soup yet, but it is cooking.

Tried and True Genetic Genealogy Staples – DNAPrint and Genetic Affairs

I haven’t written about either one this year, but I use both DNAPainter and Genetic Affairs regularly.

I consistently paint segments from matches at both MyHeritage, FamilyTreeDNA, and GEDmatch that are newly identified to an ancestor or ancestral couple at DNAPainter.

Unfortunately, neither Ancestry nor 23andMe provide matching cM location information for your matches (chromosome browser), but you may find some people who have tested at those companies at both FamilyTreeDNA and GEDmatch if they have uploaded to either of those vendors. Both vendors provide segment information and a Chromosome Browser, enabling you to paint that information to DNAPainter when you can identify your common ancestor.

MyHeritage also provides a Chromosome Browser, but unfortunately, no longer accepts uploads from any other vendor. You can paint segments from MyHeritage, but no longer upload DNA files to MyHeritage.

Thanks to DNAPainter, I have 90% of my segments identified to specific ancestors – which is actually rather remarkable given that my mother’s grandfather was a Dutch immigrant, and her great-grandparents on her other side were German immigrants, meaning we don’t have many matches on either of those lines.

Genetic Affairs continues to develop new, advanced clustering tools, one of which I’ll be reviewing soon.

Major Vendor Releases

Aside from what’s listed above, most of the major vendors released new features.

MyHeritage released a VERY COOL new tool called Cousin Finder that finds your relatives in the MyHeritage database, whether they match you on a DNA test, or not. They may not have even taken a DNA test. Cousin Finder identifies your common ancestor and shows your relationships. It’s a wonderful way to initiate communications, discuss your common ancestors, and ask about DNA testing.

Of my 378 Cousin Finder matches, only 23 (about 6%) are on my DNA match list, so that leaves 355 people to message, several of whom represent Y-DNA and mtDNA lines I don’t have. You can bet I’ll be offering testing scholarships.

Additionally, MyHeritage released a new ethnicity version.

FamilyTreeDNA, in addition to the new Mitotree, Discover, and associated features, released a new match matrix so you can see if and how selected matches are related to each other in a grid format. In other words, you can create your own cluster.

A new built-in “Share” feature blurs private information to make sharing easier both on the website and in Discover.

Discover improvements include thousands of new Y-DNA and mtDNA tree branches, plus thousands of new Ancient DNA samples. Discover is evergreen, so once you’ve taken that Big Y-700 test or the mitochondrial DNA test, your learning never stops as more content is added.

Tree integration with WikiTree is super-easy and means you don’t have to choose between trees. You can choose to retain your archived tree at FamilyTreeDNA, or move your tree to MyHeritage, PLUS link yourself to your family at WikiTree.

Ancestry released match clustering and a new beta pedigree view of ThruLines, but that’s back in the shop for more work. I’d expect to see it rereleased in 2026.

Conferences

RootsTech is the granddaddy of genealogy conferences, and it’s always fun to attend and write about the experience. Many vendors release new tools or products during the conference.

The ECGGC (East Coast Genetic Genealogy Conference), held in the fall, is the only conference that focuses entirely on genetic genealogy, new tools, how to use existing tools, and more. The 2025 conference was virtual and provided a great deal of focused content. Attendees particularly appreciate the deep dive in a particular topic presented in DNA Academy.

I’ll be at RootsTech in 2026, will write about that soon, and hope to see you there.

Concepts, Techniques and Plain Old Genealogy

In the past, my Concepts series and genealogy “how to” articles have been very popular, so, in 2025, I penned a half-dozen articles focusing on frequently asked questions about relationships and DNA.

For example, how does one go about finding DNA testing candidates? The number of options may surprise you and includes both Cousin Finder and Relatives at RootsTech.

By testing ONE PERSON for either Y-DNA or mitochondrial DNA that represents an ancestor, you actually receive information about that entire lineage of ancestors. So, on my Estes line, by locating an Estes male from my line to test, I received relevant information for every Estes male in my line, back to and beyond the progenitor.

Eventually, we hit a brick wall in every line, and those tools are the perfect way to break through those brick walls.

Other articles discuss things like how to use Discover’s Ancient Connections, and the difference between half and full relationships, both in your tree and genetically. Plus, what does a cousin “once removed” mean anyway? And why do I care?

Another question I receive is how far back, based on the shared amount of DNA, should I look in my matches’ trees for our common ancestor? In other words, how many generations back should I click? That article was fun and produced some unexpected results.

Memorial Articles

Because we are part of a community, I write memorial articles when one of our friends passes on. This year, sadly, Schelly Talalay Dardashti, well-known Jewish genealogist, and another very close friend joined the ancestors, so I’ve recognized the best in both of their lives which constitutes their legacy.

Be the Storyteller

Last, but not least, I wrote about my ancestors in the “52 Ancestors” series, which launched several years ago with Amy Johnson Crow’s challenge to write about one ancestor per week. She hosts this every year, and you can join (free) now.

I’m now on ancestor #467, so yes, it’s addictive, but it’s also AMAZING how many wonderful cousins I’ve met who have information that I did not. Not only that, but after publishing about an ancestor, I’ve discovered that I’m related to people I’ve known for years. We were SOOOooo excited!

I’ve been writing about the lives of my ancestors for several years now, and the articles include attempts to identify Y-DNA and mtDNA testers for each ancestor, where appropriate. There’s so much to learn that can’t be revealed any other way.

Plus, people seem to like the “mystery” and “short story” aspect, and I salt each story with the history of the region and relevant historical events of the timeframe. You might find your ancestors here too, or other helpful information.

Find a way to share about your ancestors!

Do You Have Suggestions for 2026 Topics?

Do you have suggestions or requests for article topics in 2026? If so, please comment on this article and let me know.

Check Out the 2025 List

Here’s the list of the 2025 articles. Did you miss something fun? Enjoy!

  Title Category Date Link
1 Welcome to 2025 – Opportunities and New Genetic Genealogy Articles Welcome, general 1-2-2025 https://dna-explained.com/2025/01/02/welcome-to-2025-opportunities-and-new-genetic-genealogy-articles/
2 Anne Doucet (1713-1791), Oceans, Rivers, and Perseverance – 52 Ancestors #438 52 Ancestors 1-4-2025 https://dna-explained.com/2025/01/04/anne-doucet-1713-1791-oceans-rivers-and-perseverance-52-ancestors-438/
3 Register for RootsTech 2025 Now RootsTech 1-16-2025 https://dna-explained.com/2025/01/16/register-for-rootstech-2025-now/
4 What IS the McNeil Family History, by George Franklin McNeil – 52 Ancestors #439 52 Ancestors 1-19-2025 https://dna-explained.com/2025/01/20/what-is-the-mcneil-family-history-by-george-franklin-mcneil-52-ancestors-439/
5 Jean Garceau dit Tranchemontagne (c1785-1711), Soldier from Saint Marseault – 52 Ancestors #440 52 Ancestors 1-29-2025 https://dna-explained.com/2025/01/29/jean-garceau-dit-tranchemontagne-c1785-1711-soldier-from-saint-marseault-52-ancestors-440/
6 Memories Resurface When the Old Family Home Gets a Facelift Genealogy 2-3-2025 https://dna-explained.com/2025/02/03/memories-resurface-when-the-old-family-home-gets-a-facelift/
7 MyHeritage Introduces Ethnicity v2.5 MyHeritage 2-6-2025 https://dna-explained.com/2025/02/06/myheritage-introduces-ethnicity-v2-5/
8 Relatives at RootsTech Reveals Cousins and Provides DNA Candidates RootsTech, techniques 2-8-2025 https://dna-explained.com/2025/02/08/relatives-at-rootstech-reveals-cousins-and-provides-dna-candidates/
9 FamilyTreeDNA’s New Matrix Shows How Your Matches Are Related to Each Other FamilyTreeDNA 2-12-2025 https://dna-explained.com/2025/02/12/familytreednas-new-matrix-shows-how-your-matches-are-related-to-each-other/
10 René Doucet (c1680-c1731), Lifetime of Incessant Upheaval – 52 Ancestors #441 52 Ancestors 2-15-2024 https://dna-explained.com/2025/02/16/rene-doucet-c1680-c1731-lifetime-of-incessant-upheaval-52-ancestors-441/
11 Lineages Versus Ancestors – How to Find and Leverage Yours Techniques 2-23-2025 https://dna-explained.com/2025/02/23/lineages-versus-ancestors-how-to-find-and-leverage-yours/
12 Mitotree is Born Mitochondrial DNA 2-25-2025 https://dna-explained.com/2025/02/25/mitotree-is-born/
13 RootsTech 2025 – The Year of Discover and the New Mitotree RootsTech, Mitochondrial DNA 3-14-2025 https://dna-explained.com/2025/03/15/rootstech-2025-the-year-of-discover-and-the-new-mitotree/
14 Pierre Doucet (c1621-1713), Walking History Book Lived to Nearly 100 – 52 Ancestors #442 3-16-2025 https://dna-explained.com/2025/03/16/pierre-doucet-c1621-1713-walking-history-book-lived-to-nearly-!100-52-ancestors-442/
15 Welcome to the New FamilyTreeDNA mtDNA Group Mitochondrial DNA 3-17-2025 https://dna-explained.com/2025/03/17/welcome-to-the-new-familytreedna-mtdna-group/
16 23andMe Files for Bankruptcy – What You Need to Know! 23andMe 3-24-2025 https://dna-explained.com/2025/03/25/23andme-files-for-bankruptcy-what-you-need-to-know/
17 New “Share” Features at FamilyTreeDNA Blur Match Information and Make Sharing Easy FamilyTreeDNA 4-1-2025 https://dna-explained.com/2025/04/01/new-share-features-at-familytreedna-blur-match-information-and-make-sharing-easy/
18 The Chauvet Cave: Trip Back in Time with Prehistoric European Humans – Are We Related? History, DNA 4-6-2025 https://dna-explained.com/2025/04/06/the-chauvet-cave-trip-back-in-time-with-prehistoric-european-humans-are-we-related/
19 DNA for Native American Genealogy Webinar & Companion Book Native American 4-8-2025 https://dna-explained.com/2025/04/08/dna-for-native-american-genealogy-webinar-companion-book/
20 Marie Levron (c1686-1727), Tragedy from Cradle to Grave – 52 Ancestors #443 52 Ancestors 4-14-2025 https://dna-explained.com/2025/04/14/marie-levron-c1686-1727-tragedy-from-cradle-to-grave-52-ancestors-443/
21 Mitochondrial DNA: What is a Haplotype Cluster and How Do I Find and Use Mine Mitochondrial DNA 4-14-2025 https://dna-explained.com/2025/04/14/mitochondrial-dna-what-is-a-haplotype-cluster-and-how-do-i-find-and-use-mine/
22 New Mitotree Haplogroups and How to Utilize Them for Genealogy Mitochondrial DNA 4-23-2025 https://dna-explained.com/2025/04/23/new-mitotree-haplogroups-and-how-to-utilize-them-for-genealogy/
23 Sir Francois Levron dit Nantois(c1651-1714), and Acadia’s Pirate – 52 Ancestors #444 52 Ancestors 4-26-2025 https://dna-explained.com/2025/04/27/sir-francois-levron-dit-nantois-c1651-1714-and-acadias-pirate-52-ancestors-444/
24 Catherine Savoie (c1661-c1722/25), Whispered Threads Weave a Tapestry of Life – 52 Ancestors #445 52 Ancestors 5-4-2025 https://dna-explained.com/2025/05/04/catherine-savoie-c1661-c1722-5-whispered-threads-weave-a-tapestry-of-life-52-ancestors-445/
25 Discover’s Ancient Connections – How Are You Related? Discover, Ancient DNA 5-8-2025 https://dna-explained.com/2025/05/08/discovers-ancient-connections-how-are-you-related/
26 Mother’s Day and Legacies 52 Ancestors, Genealogy 5-10-2025 https://dna-explained.com/2025/05/11/mothers-day-and-legacies/
27 The Mystery of the Blue Fugates and Smiths: A Study in Blue Genes and Pedigree Collapse Genetics, Genealogy 5-18-1015 https://dna-explained.com/2025/05/19/the-mystery-of-the-blue-fugates-and-smiths-a-study-in-blue-genes-and-pedigree-collapse/
28 Regeneron Wins Bid for Bankrupt 23andMe – Wedding Planned 23andMe 5-19-2023 https://dna-explained.com/2025/05/19/regeneron-wins-bid-for-bankrupt-23andme-wedding-planned/
29 Francois Savoie’s Homestead Rediscovered – 52 Ancestors #446 52 Ancestors 5-24-2025 https://dna-explained.com/2025/05/24/francois-savoies-homestead-rediscovered-52-ancestors-446/
30 Memorial Day – Some Gave All Memorial 5-25-2025 https://dna-explained.com/2025/05/25/memorial-day-some-gave-all/
31 Mitotree Webinar – What It Is, How We Did It, and What Mitotree Means to You Mitochondrial DNA 6-4-2025 https://dna-explained.com/2025/06/04/mitotree-webinar-what-it-is-how-we-did-it-and-what-mitotree-means-to-you/
32 Catherine LeJeune (c1633-1671/1686), Meet Your Grandchildren – 52 Ancestors #447 52 Ancestors 6-7-2025 https://dna-explained.com/2025/06/07/catherine-lejeune-c1633-1671-1686-meet-your-grandchildren-52-ancestors-447/
33 Mitotree Q&A for Everyone Mitochondrial DNA 6-11-2025 https://dna-explained.com/2025/06/11/mitotree-qa-for-everyone/
34 Father’s Day: Bravery and Love 52 Ancestors, Genealogy 6-14-2025 https://dna-explained.com/2025/06/14/fathers-day-bravery-and-love/
35 Francoise Bourgeois (c1659-1693/1697), High Drama in Beaubassin and Terror at Port Royal – 52 Ancestors #448 52 Ancestors 6-16-2025 https://dna-explained.com/2025/06/16/francoise-bourgeois-c1659-1693-97-high-drama-in-beaubassin-and-terror-at-port-royal-52-ancestors-448/
36 Requesting Suggestions for RootsTech 2026 Topics RootsTech 6-18-2025 https://dna-explained.com/2025/06/18/requesting-suggestions-for-rootstech-2026-topics/
37 FamilyTreeDNA and WikiTree Collaboration – In Two Easy Steps!! FamilyTreeDNA, WikiTree 6-25-2025 https://dna-explained.com/2025/06/25/familytreedna-and-wikitree-collaboration-in-two-easy-steps/
38 Jacques Bourgeois (c1620-c1700), Surgeon of Port Royal – 52 Ancestors #449 52 Ancestors 7-1-2025 https://dna-explained.com/2025/07/01/jacques-bourgeois-c1620-c1700-surgeon-of-port-royal-52-ancestors-449/
39 TTAM, a Nonprofit Formed by 23andMe’s Founder Now Plans to Buy 23andMe 23andMe 7-1-2025 https://dna-explained.com/2025/07/01/ttam-a-nonprofit-formed-by-23andmes-founder-now-plans-to-buy-23andme/
40 Jacques Bourgeois: Complex Acadian, Founder of Beaubassin – 52 Ancestors #450 52 Ancestors 7-6-2025 https://dna-explained.com/2025/07/06/jacques-bourgeois-complex-acadian-founder-of-beaubassin-52-ancestors-450/
41 How to Use Ancestry’s New Match Clusters and What They Mean Ancestry 7-10-2025 https://dna-explained.com/2025/07/10/how-to-use-ancestrys-new-match-clusters-and-what-they-mean/
42 Walk with Your Ancestors: Peace, Light and Healing in an Abandoned Medieval Village History 7-21-2025 https://dna-explained.com/2025/07/21/walk-with-your-ancestors-peace-light-and-healing-in-an-abandoned-medieval-village/
43 Jeanne Trahan (c1629-c1699), Life in Chinon, La Heve, Port Royal, and Beaubassin – 52 Ancestors #451 52 Ancestors 8-2-2025 https://dna-explained.com/2025/07/28/jeanne-trahan-c1629-c1699-life-in-chinon-la-heve-port-royal-and-beaubassin-52-ancestors-451/
44 Wherefore Art Thou, Oh Ancestor – New Generation Tree Chart Suggests Where to Look in Your Matches’ Trees Techniques, Genetics, Genealogy 8-2-2025 https://dna-explained.com/2025/08/02/wherefore-art-thou-oh-ancestor-new-generation-tree-chart-suggests-where-to-look-in-your-matches-trees/
45 Guillaume Trahan (c1601-1625), More Than Meets the Eye – 52 Ancestors #452 52 Ancestors 8-13-2025 https://dna-explained.com/2025/08/13/guillaume-trahan-c1601-c1684-more-than-meets-the-eye-52-ancestor-452/ 
46 The East Coast Genetic Genealogy Conference – ECGGC – Register Now for the Best of the Best ECGGC Conference 8-14-2025 https://dna-explained.com/2025/08/14/the-east-coast-genetic-genealogy-conference-ecggc-register-now-for-the-best-of-the-best/
47 Schelly Talalay Dardashti – May Her Memory Be a Blessing Memorial 8-17-2025 https://dna-explained.com/2025/08/17/schelly-talalay-dardashti-may-her-memory-be-a-blessing/
48 Francoise Corbineau (c1609-c1665), Bride in Chinon, Founder of Acadia – 52 Ancestors #453 52 Ancestors 8-25-2025 https://dna-explained.com/2025/08/23/francoise-corbineau-c1609-c1665-bride-in-chinon-founder-of-acadia-52-ancestors-453/
49 Nicolas Trahan (c1570->1632), Life in the Heart of French Wine Country – 52 Ancestors #454 52 Ancestors 8-31-2015 https://dna-explained.com/2025/08/31/nicolas-trahan-c1570-1632-life-in-the-heart-of-french-wine-country-52-ancestors-454/
50 Mitochondrial DNA A-Z: A Step-by-Step Guide to Matches, Mitotree, and mtDNA Discover Mitochondrial DNA, Discover, Genealogy, Techniques 10-2-2025 https://dna-explained.com/2025/09/02/mitochondrial-dna-a-z-a-step-by-step-guide-to-matches-mitotree-and-mtdna-discover/
51 Renée Desloges (c1570-1627/1632), Fragments of Life in Montreuil-Bellay – 52 Ancestors #454 (this is actually 455) 52 Ancestors 9-6-2025 https://dna-explained.com/2025/09/06/renee-desloges-c1570-1627-1632-fragments-of-life-in-montreuil-bellay-52-ancestors-454/
52 Best Mitochondrial DNA Presentation EVER – You’re Invited to DNA Academy!! Mitochondrial DNA 9-9-2025 https://dna-explained.com/2025/09/09/best-mitochondrial-dna-presentation-ever-youre-invited-to-dna-academy/
53 Unfillable Shoes Memorial – Douglas Rhodenbaugh 9-14-2025 https://dna-explained.com/2025/09/14/unfillable-shoes/
54 Concepts: What Does a Cousin “Once Removed” Mean? Concepts, Genealogy 9-24-2025 https://dna-explained.com/2025/09/24/concepts-what-does-a-cousin-once-removed-mean/
55 Daniel Vannoy (1752-after 1820), “Lived in the Boundary of the Cherokee Indians” – Say What??? 52 Ancestors 9-29-2025 https://dna-explained.com/2025/09/29/daniel-vannoy-1752-after-1820-lived-in-the-boundary-of-the-cherokee-indians-say-what/
56 Daniel Vannoy and the Strange Case of the Two Sarahs – 52 Ancestors #457 52 Ancestors 10-5-2025 https://dna-explained.com/2025/10/06/daniel-vannoy-and-the-strange-case-of-the-two-sarahs-52-ancestors-457/
57 Cousin Finder – MyHeritage’s Innovative New Tool Finds Your Relatives MyHeritage 10-9-2025 https://dna-explained.com/2025/10/09/cousin-finder-myheritages-innovative-new-tool-finds-your-relatives/
58 Sarah Hickerson Vannoy (c1761 – after 1826), Threw More than Shade – 52 Ancestors #458 52 Ancestors https://dna-explained.com/2025/10/13/sarah-hickerson-vannoy-c1761-after-1826-threw-more-than-shade-52-ancestors-458/
59 MyHeritage Introduces a Low-Pass Whole Genome Autosomal DNA Test & Why It Matters MyHeritage 10-14-2025 https://dna-explained.com/2025/10/14/myheritage-introduces-a-low-pass-whole-genome-autosomal-dna-test-why-it-matters/
60 Henriette Pelletret (c1640 – before 1694), Life Death in the Shadow of the Fort – 52 Ancestors #459 52 Ancestors 10-21-2025 https://dna-explained.com/2025/10/21/henriette-pelletret-c1640-before-1694-life-and-death-in-the-shadow-of-the-fort-52-ancestor-459/
61 Cheat Sheet: Mitochondrial Matches, Haplotype Clusters, and Haplogroups Mitochondrial DNA 10-22-2025 https://dna-explained.com/2025/10/22/cheat-sheet-mitochondrial-matches-haplotype-clusters-and-haplogroups/
62 Simon Pelletret (1610-1642/1645): A Walk Through Port Royal – 52 Ancestors #460 52 Ancestors 10-27-2025 https://dna-explained.com/2025/10/27/simon-pelletret-c1610-1642-1645-a-walk-through-port-royal-52-ancestors-460/
63 Perrine Bourg (c1626-1693/1698): Phoenix Rising from the Ashes – 52 Ancestors #461 52 Ancestors 11-2-2025 https://dna-explained.com/2025/11/02/perrine-bourg-c1626-1693-1698-phoenix-rising-from-the-ashes-52-ancestors-461/
64 Concepts: What is a Half Relationships, Life Half First Cousins, Anyway? Concepts, Genealogy 11-4-2025 https://dna-explained.com/2025/11/04/concepts-what-is-a-half-relationship-like-half-first-cousins-anyway/
65 Marie Broussard (1686-after 1752), Life Across the River from Port Royal – 52 Ancestors #462 52 Ancestors 11-10-2025 https://dna-explained.com/2025/11/10/marie-broussard-1686-after-1752-life-across-the-river-from-port-royal-52-ancestors-462/
66 Francois Broussard (1653-1716), Intractable Acadian – 52 Ancestors #463 52 Ancestors 11-22-2025 https://dna-explained.com/2025/11/22/francois-broussard-1653-1716-intractable-acadian-52-ancestors-463/
67 Mitotree Sprouts 12,773 New Branches and Includes Ancient DNA Mitochondrial DNA 11-24-2025 https://dna-explained.com/2025/11/24/mitotree-sprouts-12773-new-branches-and-includes-ancient-dna/
68 Catherine Richard (c1663 – after 1714), Mother of Beausoleil, Acadian Freedom Fighters – 52 Ancestors #464 52 Ancestors 11-29-2025 https://dna-explained.com/2025/11/29/catherine-richard-c1663-after-1714-mother-of-beausoleil-acadian-freedom-fighters-52-ancestors-464/
69 Ancestry’s ThruLines Has a New Pedigree View Ancestry 12-2-2025 https://dna-explained.com/2025/12/03/ancestrys-thrulines-has-a-new-pedigree-view/
70 Ancestry Reverts ThruLines to the Original View Ancestry 12-6-2025 https://dna-explained.com/2025/12/06/ancestry-reverts-thrulines-to-the-original-view/
71 Michel Richard (c1630-1686/1689), Carefree Acadian – 52 Ancestors #465 52 Ancestors 12-7-2025 https://dna-explained.com/2025/12/08/michel-richard-dit-sansoucy-c1630-1686-1689-carefree-acadian-52-ancestors-465/ 
72 Mitochondrial DNA: How Do I Know if I’m a Candidate to Receive a New Haplogroup? Mitochondrial DNA 12-9-2025 https://dna-explained.com/2025/12/09/mitochondrial-dna-how-do-i-know-if-im-a-candidate-to-receive-a-new-haplogroup/
73 Heavens Ablaze: the 1833 Leonid Meteor Storm and Your Ancestors History, Genealogy 12-15-2025 https://dna-explained.com/2025/12/15/heavens-ablaze-the-1833-leonid-meteor-storm-and-your-ancestors/
74 Madelaine Blanchard (c1643 – 1678/1683), Gone Too Soon – 52 Ancestors #466 52 Ancestors 12-20-2025 https://dna-explained.com/2025/12/20/madelaine-blanchard-c1643-1678-1683-gone-too-soon-52-ancestors-466/
75 Soar Inspiration 12-24-2025 https://dna-explained.com/2025/12/24/soar/

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Mitochondrial DNA A–Z: A Step-by-Step Guide to Matches, Mitotree, and mtDNA Discover

People have been asking for a step-by-step guide for mitochondrial DNA, and here it is!

This article steps testers through all their results, page by page, including a dozen Discover reports, explaining what the information in each tool means. There’s SO MUCH great content provided, and you’ll want to absorb every tidbit.

This is meant to be a roadmap for you – a recipe card to follow to get the most out of your results.

You can either read through this article once, then sign on to your own account, or sign on now and follow along. Yes, this article is long, but it’s also a one-stop shop when you want information about any page or feature. Refer back to this article as needed, and feel free to forward it to others when they receive their results.

I’ve also provided additional resources for you at each step of the way, along with many tips and suggestions to help you help yourself.

I’m using the LeJeune sisters of Acadia as my example – in part because there were several questions about their heritage – including whether they were actually sisters, whether they were Native American, and if a third woman was also a sister.

Think about why you tested, and what you hope to learn so you know where to focus.

Everyone has their own motivation for testing, and we all want to extract as much information as possible. Some answers are genetic – thanks to mitochondrial, Y-DNA, and autosomal testing. Some answers are historical and genealogical. All of them need to mesh nicely together and confirm each other.

When they don’t, if they don’t, we need to understand how to discern the truth.

Every Ancestor Has a Mitochondrial DNA Story to Tell You

Sometimes it’s not our own results we’re analyzing, but the results of another tester – a cousin whose mitochondrial DNA represents a particular shared ancestor. We aren’t restricted to just our own mitochondrial DNA to decipher our ancestors’ stories.

What messages and secrets do those ancestors have to tell us? Our results read like the very best mystery novel ever – except it’s not a novel – it’s fact. And it’s ours!

Mitochondrial DNA is only passed from mothers to their children, never admixed or combined with the DNA of the father, so your mitochondrial DNA today is either exactly the same as that of your ancestors a few generations ago, or very close if a mutation has occurred between when they lived and today’s tester.

One of mitochondrial DNA’s strengths is that it can reach far back in time, it’s message undiluted and uninterrupted by recombination.

The messages from our ancestors are very clear. We just need to understand how to hear what they are telling us.

Step-by-Step Soup to Nuts

We will analyze the mitochondrial DNA results of multiple testers who descend from the LeJeune sisters, Edmee and Catherine, born in 1624 and 1633, respectively, to see what they have to tell their descendants. For a very long time, rumors abounded that their mother was Native American, so we will keep that in mind as we review all matching, Mitotree and mtDNA Discover tools provided by FamilyTreeDNA.

We will also learn how to evaluate seemingly conflicting information.

Soup to nuts – we will incorporate every sliver of information along the way and extract every morsel that can help you. Think of this article as your recipe and the reports and information as ingredients!

To be clear, you don’t HAVE to read all of this or decipher anything if you don’t want to. You can just glance at the matches and be on your way – but if you do – you’re leaving an incredible amount of useful information on the table, along with MANY hints that you can’t find elsewhere.

If there was an out-of-print book about this ancestral line in a rare book collection someplace, as a genealogist, you would drive half-way across the country to access that information. This is your rare book, that updates itself, and you don’t have to do anything other than take a mitochondrial DNA test, or find a cousin to take one for lines you don’t carry..

Come along and join the fun! Your ancestors are waiting!

The LeJeune Question

Recently, I wrote about my ancestor Catherine LeJeune, who was born about 1633, probably in France before her family settled in Acadia, present-day Nova Scotia.

The identity of her parents has been hotly contested and widely debated for a long time.

I intentionally did not address her DNA results in that article because I wanted to establish the historical facts about her life and address her mitochondrial DNA separately. The process we are following to analyze her DNA results is the same process everyone should follow, which is why we are taking this step-by-step approach, complete with detailed explanations.

Often, when people hit a brick wall with an ancestor, especially during European colonization of the Americas, someone suggests that the person surely “must be” Native American. Lack of records is interpreted to add layers of evidence, when, in fact, absence of evidence is not evidence of absence.

For example, for many of the earliest French Acadians, birth and baptism records have NOT been located in France, where massive record loss has been experienced.

Additionally, not all records that do exist have been indexed, transcribed, or digitized. Many are damaged and/or nearly impossible to read. Lack of records does NOT mean that those settlers weren’t French, or in this case, it does NOT indicate that they were Native American. It simply means we are lacking that piece of evidence.

Enter mitochondrial DNA.

This article is focused on how to use mitochondrial DNA to decode these messages from our ancestors. I’m providing a very short summary of the relevant historical factors about the LeJeune sisters so readers can keep this in mind as we review the 17+ tools waiting for us when mitochondrial DNA results are ready.

The First Acadian Settlers

The Acadians were French settlers in what is today Nova Scotia. The first Acadians arrived in LaHeve (LaHave), on the southern coast of Acadia, in 1632 after Acadia was returned to France from English control. There may or may not have been any French families in the original group, but if so, very few. In 1636, another group of settlers arrived, but no LeJeune is on the roster.

At the end of 1636, the fledgling Acadian colony was moved from LaHeve, on the southern coast, to Port Royal, a more protected environment.

While we don’t know exactly when the family of Catherine and Edmee LeJeune arrived, we can bracket the dates. We know that Catherine’s sister, Edmee LeJeune, born about 1624, married another settler, Francois Gautrot, about 1644 in Port Royal, so they had arrived by that time.

Edmee’s 1624 birth year is important for two reasons. First, there were no French settlers in the part of Acadia that became Nova Scotia in 1624, so that clearly demonstrates that Edmee was born in France.

It’s unlikely that Catherine was born in Acadia in 1633 given that the first known families arrived in 1636, and we have their names from the ship roster. Pierre Martin was on the 1636 ship, and Acadian history tells us that his son, Mathieu Martin, was the first French child born in Acadia, about 1636, based on the 1671 census.

We also know that there was an early Acadian man, Jean LeJeune, who was granted land at BelleIsle, near Port Royal, among other Acadian families, but he was deceased before the first Acadian census in 1671. Acadia was under English control again from 1654 to 1670, so Jean LeJeune’s land grant had to have occurred after 1636 and prior to 1654, and is where Catherine LeJeune is found as an adult.

Another source of confusion is that there is a third LeJeune woman, Jeanne LeJeune dit Briard, born about 1659. Her daughter, Catherine Joseph’s 1720 marriage record in Port Royal refers to her mother, Jeanne, as being “d’un nation sauvagé”, giving her parents’ names as Francois Joseph and Jeanne LeJeune “of the Indian Nation.” Jeanne LeJeune dit Briard lived with her first husband in Port Royal, but had relocated to LaHeve by 1708.

You can see why this led to confusion about LeJeune females.

Another male, Pierre LeJeune was associated with LaHeve, which suggests he may have been awarded land there, possibly before the colony moved to Port Royal. One of the reasons that the rumor that Catherine LeJeune had a Native mother is so persistent is the belief that Pierre came over early, as a laborer or soldier, and married a Native woman because there weren’t any European women available.

Pierre may well have arrived as a single man, but there is no shred of evidence to suggest Pierre is the father of the sisters, Catherine LeJeune and Edmee LeJeune. In fact, given that Jeanne was born about 1659, Pierre, if he was her father, may have been born as late as 1627, which makes it impossible for him to have been Catherine and Edmee’s father.

That speculation was before the advent of DNA testing, and before Stephen White discovered that there was also a Jean LeJeune who was awarded land exactly where Catherine is known to have been living a few years later.

While it would be nice to unravel this entire cat’s cradle of confusion, the questions we are seeking to answer definitively here are:

  • Are Catherine LeJeune (born 1633) and Edmee LeJeune (born 1624) actually sisters?
  • Is the mother of Catherine LeJeune and her sister, Edmee LeJeune, Native American or European?
  • Is Jeanne LeJeune dit Briard, born about 1659, “d’un nation sauvagé” another sister of the LeJeune sisters?
  • What else is revealed about the LeJeune sisters and their ancestors? Is there something else we should know?

I’ll provide a summary of the combined evidence after our step-by-step mitochondrial analysis.

Testing for Sisters

Mitochondrial DNA is passed from mothers to all of their children, but only females pass it on.

Since we have two LeJeune females, believed to be sisters, we need mitochondrial DNA from direct matrilineal testers for each woman. This is particularly important because we know unquestionably that Edmee was born in France in 1624, prior to Acadian settlement in New France, so her DNA should be European. If they match, it means that Catherine was born to the same mother who was not Native. If they don’t match, there’s a different message.

In some cases, a match might mean that they were born to females related on the matrilineal line, like first cousins, for example. But in the early days of Acadia, there were no European females other than the handful, less than a dozen, who arrived on the Saint-Jehan in 1636.

Fortunately, we have multiple testers for each woman in two DNA projects at FamilyTreeDNA, the only DNA testing company that provides mitochondrial DNA testing and matching. Testers can join special interest projects, and both the Mothers of Acadia Project, and the Acadian AmerIndian Project have testers who descend from the LeJeune sisters.

I’ve identified 28 descendants of Catherine, and 25 from Edmee, giving us a total of 53 known matrilineal descendants to work with. Not all are shown publicly, in projects. Catherine has a known total of 14 testers, and Edmee has 17 that are shown publicly. All testers are members of haplogroup U6a7a1a.

The fact that the descendants of these women match each other, often exactly, combined with Catholic parish register dispensations for their descendants, when taken together, prove conclusively that Catherine and Edmee were sisters, not paternal half-sisters.

Let’s look at each piece of evidence.

Mitochondrial DNA Results

When the lab finishes processing the mtFull test, the results are posted to the account of the test taker.

Click on any image to enlarge

You’ll see the Maternal Line Ancestry section which displays your mitochondrial mtDNA Results.

The three tabs we will be primarily working with are:

  • mtDNA Matches
  • Matches Maps
  • Discover Haplogroup Reports, which includes another dozen+ reports and an updated Migration Map
  • Advanced Matching

At the bottom right of your page, you’ll see two haplogroup badges.

The one at right is called the “Legacy” haplogroup, which means the haplogroup you were assigned prior to the release of the new Mitotree.

The Mitotree mtDNA Haplogroup, with the green “Beta” at the bottom, is the new Mitotree haplogroup, which I wrote about in a series of articles:

Your old Legacy haplogroup will never change, because it’s the 2016 version that was not updated by the previous tree-keepers. That’s why the FamilyTreeDNA R&D team, me included, developed and birthed the new Mitotree. There were thousands of new haplogroups that could be defined to kick-start our genealogy, so we did.

The mitochondrial tree went from about 5000 branches to over 40,000 in the new Mitotree, each providing additional information to testers.

Not everyone received a new haplogroup, but about 75% of testers did, and another new Mitotree version will be released soon. In order to receive a new haplogroup, testers needed to:

  • Have at least one qualifying, stable mutation that had not been previously used to define a haplogroup
  • Match at least one other person in the same haplogroup branch with the same mutation(s)

In the case of the LeJeune sisters, there were no mutations that met all of the qualifications, so their known descendants did not receive a new haplogroup. That’s fine, though, because it’s not the name but the messages held by the information that’s important – and there’s a LOT to work with.

Let’s start with matches.

Matches

Of course, the first thing everyone does is click to see their matches.

The default is Detail View, but I prefer Table View (top left) because you can see more matches on the same page.

Catherine’s descendant whose matches are shown here has 108 Full Sequence matches, which are labeled as the “Coding Region.” The Coding Regions is the mtFULL test and includes both the HVR1 and HVR2 regions. Viewing Coding Region matches means they have taken the mtFull test, which sequences all 16,569 locations of the mitochondria.

When you click on the “Coding Region”, you are seeing matches to people who took all three test levels, not just the first one or two.

There are three test levels to view:

  1. HVR1
  2. HVR1+HVR2 both
  3. Coding Region, which is in addition to the HVR1+HVR2 regions

You can no longer order three different test levels today, although at one time you could. As costs decreased, it no longer made sense to offer multiple testing levels, and often the HVR1 or HVR1+HVR2 results, which only tested about 500 locations each, would confuse people.

People at the lower HVR1 or HVR1+HVR2 levels, known as mtPlus, can upgrade to the complete mtFull level, and should.

However, because some people only tested at those lower levels, matches are still shown at three levels, with different match thresholds for each level.

Matches at the HVR1 or HVR1+HVR2 levels *might* be entirely irrelevant, reaching back thousands of years. They could also be much more current, and critical to your genealogy, so don’t assume. Just one unstable mutation can cause a mismatch though, and at lower levels, cause you not to match someone with the same ancestor, which is why the full sequence test is so critically important.

For some testers, matches at lower levels sometimes provide the ONLY match to your known ancestor. So don’t skip over them. If you find a critical match there, you can email the tester to see if they will upgrade to the mtFull test.

People who test only at the HVR1 or HVR1+HVR2 level receive a more refined haplogroup after they upgrade, so the haplogroups between the HVR1/HVR2 testers and the full sequence test won’t match exactly. For the LeJeune sisters, the haplogroup for HVR1/HVR2-only testers is U6a and for full sequence testers, it’s U6a7a1a.

While full sequence matches are wonderful, if you’re searching for a particular ancestor and the ONLY place they appear is the HVR1 or HVR1+HVR2 testing levels, you’ll want to pursue the match. You may also want to evaluate lower level matches if their ancestors are from a specific location – like France – even if their earliest known ancestor (EKA) is not your ancestor.

To view your  HVR1 or HVR1+HVR2 matches, just click on either of those links. You’ll see ALL of the results, including everyone who took the full sequence test. In this case, that means that the 217 HVR1 (hypervariable region 1) results will include the 120 coding region (full sequence) tests. I’ve already looked through the full sequence matches, so that’s not what I want.

If you ONLY want to see testers who did NOT take the Full Sequence test, use the Filter option. Select Filter, then the features you seek.

Fortunately, the LeJeune sisters have lots of known descendants at the mtFull level to work with, so we will focus on their full sequence matches.

Your Focus

On the matches page, you’ll be immediately interested in two fields:

  • Maternal Earliest Known Ancestor (EKA) – the direct matrilineal ancestor of your match – unless they got confused and entered someone else
  • Their Tree

Viewing the first several matches only produced one match to someone whose earliest known ancestor (EKA) is listed as Catherine or Edmee LeJeune, but perhaps the next group will be more productive. Note that females’ EKAs, earliest known ancestors, are sometimes challenging, given surname changes. So unfamiliar EKAs could represent generational differences and sometimes offer other hints based on their information.

Shifting to the detail view for a minute, you’ll want to review the genetic distance,  meaning whether you’re an exact match or not.

If you’re not an exact match, a genetic distance of “1 step” means that you match except for one mutation at a specific location.

If you have a genetic distance greater than 3, meaning 4 mutations or more, you won’t be shown as a match on this match list. However, you can still be a haplogroup match, which we’ll discuss in the Discover section.

Essentially, with more than 3 mutations difference, it’s unlikely (but not impossible) that your match is genealogically relevant – meaning you probably won’t be able to identify your most recent common ancestor (MRCA).

However, that doesn’t mean that haplogroup-only matches can’t provide important clues, and we will look under every rock!

A Slight Detour – Confirmation Bias

This is a good place to mention that both ancestors and their location (country) of origin are provided by (some) testers to the best of their ability and understanding.

This tester selected “United States Native American” as the location for their earliest known ancestor. We don’t know why they entered that information. It could be that:

  • The tester did not understand that the maternal country of origin means the direct MATRILINEAL line, not just someplace on the maternal side
  • Selina Sinott was Native on her father’s side, or any line OTHER than her direct matrilineal line.
  • They relied on oral history or made a guess
  • They found the information in someone else’s tree
  • They found all of the LeJeune information confusing (because it is)

The tester has provided no tree, so we can’t do any sleuthing here, but an Ancestry search shows a woman by that name born in 1855 in Starksboro, VT to Louis Senott and Victoria Reya. A further search on Victoria leads me to Marie Lussier who leads me to Marguerite Michel who leads me to Marie Anne Lord (Lore, Laure), who lived in Acadia, whose ancestor is…drum roll…Catherine LeJeune. You get the idea.

Yes, you may need to extend other people’s trees.

The Point

However, and this is the point – if you’re looking for confirmation that the LeJeune sisters were Native American, this ONE tester who entered Native American for an unknown reason is NOT the confirmation you’re looking for. Don’t get sucked into confirmation bias, or into categorically believing what someone else entered without additional information.

You need haplogroup confirmation, but, in this case, you don’t have it. However, if you’re new to genetic genealogy, you don’t know that yet, so hold on. We’re still getting there. This is why we need to review all of the reports.

And trust me, I’m not being critical because there isn’t a single seasoned genealogist who has NOT fallen down the rathole of excited confirmation bias or accepting information without further analysis – me included. We all need to actively guard against it, all the time. Confirm and weigh all of the evidence we do have, and seek missing evidence.

Let’s go back to the match results.

Matches – Haplogroups and Haplotypes

Scrolling down the Table View, the next group of matches shows many more matches to descendants of both Catherine and Edmee LeJeune.

Next, you’ll notice that there’s a Mitotree haplogroup, U6a7a1a, AND an F number. In this case, they are both checked in blue, which means you share the exact same haplogroup with that tester, and the exact same haplotype cluster, which is the F number.

I wrote about haplotype clusters, here.

If NEITHER box is checked, you don’t share either the haplogroup nor the haplotype cluster.

You can match the haplogroup, but not the haplotype cluster, which means the haplogroup box will be checked, but the haplotype cluster will not. If you share the same haplotype cluster, you WILL share the same haplogroup, but the reverse is not true.

What is a Haplotype Cluster, and why do they matter?

Haplotype Clusters

We need to talk about exact matches and what they mean. Yes, I know it seems intuitive, but it isn’t.

There are three types of matches

  • Matching and Genetic Distance on your Match List
  • Haplotype matching
  • Haplogroup matching

Without getting (too much) into the weeds, an Exact Match in the Genetic Distance column on your match list excludes locations 309 and 315 because they are too unstable to be considered reliable for matching. So, 309 and 315 are EXCLUDED from this type of matching. In other words, you may or may not match at either or both of those locations. They are ignored for matching on your match list.

Locations 309 and 315 are also EXCLUDED from haplogroup definitions.

A haplotype F cluster match indicates that everyone in that cluster is an exact match, taking into consideration EVERY mutation, INCLUDING 309 and 315.

309 and 315 Why
Matching and Genetic Distance Excluded Unstable, probably not genealogically relevant and may be deceptive, leading you down a rathole
Haplogroup Definition Excluded Too unstable for tree branching and definition
Haplotype F Clusters Included Might be genealogically useful, so everyone can evaluate the rathole for themselves

Some people think that if they don’t match someone exactly, they can’t have the same ancestor as people who do match exactly, but that’s not true. “Mutations happen” whenever they darned well please. Downstream mutations in stable locations that match between two or more testers will form their own haplogroup branch.

The most distant matches are shown on the last match page, and as you can see below, some descendants of Catherine and Edmee LeJeune have a 1-step difference with our tester, meaning a genetic distance of one, or one mutation (disregarding 309 and 315). One match has a 2-step mutation.

The fact that their F numbers are not the same tells you that their mutations are different from each other, too. If two of those people also matched each other, their F# would be identical.

The mutations that do not (yet) form a haplogroup, and are included in your haplotype cluster, are called Private Variants, and you cannot see the private variants of other people. Clearly, you and anyone in your haplotype cluster share all of the same mutations, including Private Variants.

Evaluating Trees and EKAs

By reviewing the matches, their EKAs, and the trees for the matches of Catherine’s descendants, I was able to create a little mini-tree of sorts. Keep in mind that not everyone with an EKA has a tree, and certainly not everyone who uploaded a tree listed an EKA. So be sure to check both resources. Here’s how to add your EKA, and a one-minute video, here.

The good news is that if your match has a WikiTree link when you click on their tree icon, you know their tree actually reaches back to either Edmee or Catherine if that’s their ancestor, and you’re not dealing with a frustrating, truncated two or three-generation tree, or a private tree. You can add your WikiTree link at FamilyTreeDNA here, in addition to any other tree you’ve linked.

Takeaways from Matches

  • You can identify your common ancestor with other testers. By viewing people’s trees and emailing other testers, you can often reconstruct the trees from the tester back through either Catherine or Edmee LeJeune.
  • Your primary focus should be on the people in your haplotype cluster, but don’t neglect other clusters where you may find descendants of your ancestor.
  • If you see a male EKA name, or something other than a female name in the EKA field, like a location, the tester was confused. Only females pass their mitochondrial DNA to their descendants.
  • If you’re searching for an ancestor whose mitochondrial DNA you don’t carry, use projects and WikiTree to see if you can determine if someone has tested from that line. From viewing the project results, I already knew that the LeJeune sisters had several descendants who had tested.
  • If you’re searching for your ancestor on your match list, and you don’t find them in the full sequence results, use the filter to view people who ONLY took the HVR1 and HVR1+HVR2 tests to see if the results you seek are there. They won’t be on your full sequence match list because they didn’t test at that level. Testers at the lower levels will only have a partial, estimated haplogroup – in this case, U6a.
  • For Edmee and Catherine LeJeune, we have enough testers to ensure that we don’t have just one or two people with the same erroneous genealogy. If you do find someone in a project or at WikiTree claiming descent from the same ancestor, but with a different haplogroup, you’ll need to focus on additional research to verify each step for all testers.

Resources:

Matches Maps

The Matches Map is a great visual resource. That “picture is worth 1000 words” tidbit of wisdom definitely applies here.

Clicking on the Matches Maps displays the locations that your matches entered for their EKA.

In the upper left-hand corner, select “Full Sequence,” and only the full sequence matches will be displayed on the map. All full sequence testers also have HVR1/HVR2 results, so those results will be displayed under that selection, along with people who ONLY took the HVR1 or HVR1/HVR2 tests.

We know that the Acadians originally came from France, and their descendants were forcibly expelled from Nova Scotia in 1755. Families found themselves scattered to various locations along the eastern seaboard, culminating with settlements in Louisiana, Quebec, and in some cases, back in France, so this match distribution makes sense in that context.

Be sure to enlarge the map in case pins are on top of or obscuring each other.

Some people from other locations may be a match, too. Reviewing their information may assist with breaking down the next brick wall. Sometimes, additional analysis reveals that the tester providing the information was confused about what to complete, e.g., male names, and you should disregard that pin.

Takeaways from the Matches Map

  • These results make sense for the LeJeune sisters. I would specifically look for testers with other French EKAs, just in case their information can provide a (desperately needed) clue as to where the LeJeune family was from in France.

  • Reviewing other matches in unexpected locations may provide clues about where ancestors of your ancestor came from, or in this case, where descendants of the LeJeune sisters wound up – such as Marie Josephe Surette in Salem, Massachusetts, Catherine LeJeune’s great-granddaughter.
  • Finding large clusters of pins in an unexpected location suggests a story waiting to be uncovered. My matrilineal ancestor was confirmed in church records in Wirbenz, Germany, in 1647 when she married, but the fact that almost all of my full sequence matches are in Scandinavia, clustered in Sweden and Norway, suggests an untold story, probably involving the 30 Years War in Germany that saw Swedish troop movement in the area where my ancestor lived.
  • For my own mitochondrial DNA test, by viewing trees, EKAs, and other hints, including email addresses, I was able to identify at least a country for 30 of 36 full sequence matches and created my own Google map.
  • You can often add to the locations by creating your own map and including everyone’s results.

Resources:

Mitochondrial DNA Part 4 – Techniques for Doubling Your Useful Matches

Mitochondrial DNA Myth – Mitochondrial DNA is not Useful because the Haplogroups are “Too Old”

Before we move to the Discover Reports, I’m going to dispel a myth about haplogroups, ages, genealogical usefulness, and most recent common ancestors known as MRCAs.

Let me start by saying this out loud. YES, MITOCHONDRIAL DNA IS USEFUL FOR GENEALOGY and NO, OLDER HAPLOGROUPS DO NOT PREVENT MITOCHONDRIAL DNA FROM BEING USEFUL.

Here’s why.

The most recent common ancestor (MRCA) is the person who is the closest common ancestor of any two people.

For example, the mitochondrial DNA MRCA of you and your sibling is your mother.

For your mother and her first cousin, the mitochondrial MRCA is their grandmother on the same side, assuming they both descend from a different daughter. Both daughters carry their mother’s undiluted mitochondrial DNA.

A common complaint about mitochondrial DNA is that “it’s not genealogically useful because the haplogroups are so old” – which is absolutely untrue.

Let’s unravel this a bit more.

The MRCA of a GROUP of people is the first common ancestor of EVERY person in the group with each other.

So, if you’re looking at your tree, the MRCA of you, your sibling, and your mother’s 1C in the example above is also your mother’s grandmother, because your mother’s grandmother is the first person in your tree that ALL of the people in the comparison group descend from.

Taking this even further back in time, your mother’s GGG-grandmother is the MRCA for these five people bolded, and maybe a lot more descendants, too.

At that distance in your tree, you may or may not know the name of the GGG-grandmother and you probably don’t know all of her descendants either.

Eventually, you will hit a genealogical brick wall, but the descendants of that unknown “grandmother” will still match. You have NOT hit a genetic brick wall.

A haplogroup name is assigned to the woman who had a mutation that forms a new haplogroup branch, and she is the MRCA of every person in that haplogroup and all descendant haplogroups.

However, and this is important, the MRCA of any two people, or a group of people may very well be downstream, in your tree, of that haplogroup mother.

As you can clearly see from our example, there are four different MRCAs, depending on who you are comparing with each other.

  • Mom – MRCA of you and your sibling
  • Grandmother – MRCA of you, your sibling, your mom and your mom’s 1C
  • GGG-Grandmother – MRCA of all five bolded descendants
  • Haplogroup formation – MRCA of ALL tested descendants, and all downstream haplogroups, many of whom are not pictured

Many of the testers may, and probably do, form haplotype clusters beneath this haplogroup.

When you are seeking a common ancestor, you really don’t care when everyone in that haplogroup was related, what you seek is the common ancestor between you and another person, or group of people.

If the haplogroup is formed more recently in time, it may define a specific lineage, and in that case, you will care because that haplogroup equates to a woman you can identify genealogically. For example, let’s say that one of Catherine LeJeune’s children formed a specific haplogroup. That would be important because it would be easy to assign testers with that haplogroup to their appropriate lineage. That may well be the case for the two people in haplogroup U6a7a1a2, but lack of a more recent haplogroup for the other testers does not hinder our analysis or reduce mitochondrial DNA’s benefits.

That said, the more people who test, the more possibilities for downstream haplogroup formation. Currently, haplogroup U6a7a1a has 34 unnamed lineages, just waiting for more testers.

Haplogroup ages are useful in a number of ways, but haplogroup usefulness is IN NO WAY DEPRICATED BY THEIR AGE. The haplogroup age is when every single person in that haplogroup shares a common ancestor. That might be useful to know, but it’s not a barrier to genealogy. Unfortunately, hearing that persistent myth causes people to become discouraged, give up and not even bother to test, which is clearly self-defeating behavior. You’ll never know what you don’t know, and you won’t know if you don’t test. That’s my mantra!

The LeJeune sisters provide a clear example.

OK, now on to Discover.

mtDNA Discover

Next, we are going to click through from the mtDNA Results and Tools area on your personal page to Discover Haplogroup Reports. These reports are chapters in your own personal book, handed down from your ancestors.

Discover is also a freely available public tool, but you’ll receive additional and personalized information by clicking through when you are signed into your page at FamilyTreeDNA. Only a subset is available publicly.

mtDNA Discover was released with the new Mitotree and provides fresh information weekly.

Think of Discover as a set of a dozen reports just for your results, with one more, Globetrekker™, an interactive haplogroup map, coming soon.

Resources:

When you click through to Discover from your results, Discover defaults to your haplogroup. In this case, that’s U6a7a1a for the LeJeune sisters.

Let’s begin with the first report, Haplogroup Story.

Haplogroup Story

The Haplogroup Story is a landing page that summarizes information about your ancestor’s haplogroup relevant to understanding your ancestor’s history. Please take the time to actually READ the Discover reports, including the information buttons, not just skim them.

Think of Discover as your own personalized book about your ancestors – so you don’t want to miss a word.

You’ll see facts on the left, each one with a little “i” button. Click there or mouse over for more information about how that fact was determined.

When we’re talking about haplogroup U6a7a1a, it sounds impersonal, but we’re really talking about an actual person whose name, in this case, we will never know. We can determine the ancestor of some haplogroups that formed within a genealogical timeframe. The LeJeune ancestor in question is the person in whose generation the final mutation in a long string of mutations created the final “a” in haplogroup U6a7a1a.

Think of these as a long line of breadcrumbs. By following them backwards in time and determining when and where those breadcrumbs were dropped, meaning when and where the mutation occurred, we begin to understand the history of our ancestor – where she was, when, and which cultures and events shaped her life.

U6a7a1a was formed, meaning this ancestor was born, about 50 CE, so about 1950 years ago. This means that the ancestor of ANY ONE PERSON with this haplogroup could have lived anytime between the year 50 CE and the year of their mother’s birth.

This is VERY important, because there is an incredible amount of  misunderstanding about haplogroup ages and what they mean to you.

The year 50 CE is the year that the common ancestor of EVERY PERSON in the haplogroup was born, NOT the year that the common ancestor of any two or more people was born.

By way of illustration, the LeJeune sisters were born in about 1624 and 1633, respectively, not 50 CE, and their most recent common ancestor (MRCA) is their mother, who would have been born between about 1590 and 1608, based on their birth years.

For reference, I’ve created this genealogical tree from individuals who took the mitochondrial DNA test and have identified their mitochondrial lineage on the LeJeune mother’s profile at Wikitree

You can see that both Edmee and Catherine have mitochondrial DNA testers through multiple daughters. I’ve color coded the MRCA individuals within each group, and of course their mother is the MRCA between any two people who each descend from Edmee and Catherine.

Mitochondrial DNA matches to the LeJeune sisters’ descendants could be related to each other anywhere from the current generation (parent/child) to when the haplogroup formed, about 50 CE.

You can easily see that all of these testers, even compared with their most distant relatives in the group, share a common ancestor born between 1590 and about 1608. Other people when compared within the group share MCRAs born about 1717 (blue), 1778 (peach), 1752 (green), 1684 (pink), 1658 (mustard), and 1633 (red).

Soooooo…a haplogroup born in 50 CE does NOT mean that you won’t be able to find any genealogical connection because your common ancestor with another tester was born more than 1900 years ago. It means that the common ancestor of EVERYONE who is a member of haplogroup U6a7a1a (and downstream haplogroups) was born about 50 CE.

The parent haplogroup of U6a7a1a is haplogroup U6a7a1, which was born about 1450 BCE, or about 3450 years ago.

In the graphic, I’ve shown other unknown genealogical lineages from U6a7a1 and also downstream haplogroups.

Haplogroup U6a7a1 is the MRCA, or most recent common ancestor of haplogroup U6a7a1a, and anyone who descends from haplogroup U6a7a1 or any of the 23 downstream lineages from U6a7a1, including 5 descendant haplogroups and 18 unnamed lineages.

The LeJeune haplogroup, U6a7a1a, has 35 descendant lineages. One downstream haplogroup has already been identified – U6a7a1a2 – which means two or more people share at least one common, stable, mutation, in addition to the mutations that form U6a7a1a. Thirty-four other lineages are as yet unnamed.

The fact that there are 34 unnamed lineages means that people with one or more private variants, or unique mutations, are candidates for a new branch to form when someone else tests and matches them, including those variants.

You’re a candidate for a new haplogroup in the future if no one else matches your haplotype cluster number, or, potentially, as the tree splits and branches upstream.

When a second person in a lineage tests, those two people will not only share a common haplotype cluster F#, they will share a new haplogroup too if their common mutation is not excluded because it’s unstable and therefore unreliable.

There are 127 members of haplogroup U6a7a1a today, and their EKAs are noted as being from France, Canada, the US, and other countries that we’ll view on other pages.

Haplogroup U6a7a1a has been assigned two Discover badges:

  • Imperial Age – “an age noted for the formation and global impact of expansive empires in many parts of the world.” In other words, colonization, which is certainly true of the French who battled with the English to colonize New England, Acadia, and New France.
  • mtFull Confirmed (for testers only)

Additionally, the LeJeune sisters have one Rare Notable Connection, and three Rare Ancient Connections, all of which may shed light on their history.

Takeaways from the Haplogroup Story

  • The Haplogroup Story provides an overview of the haplogroup
  • You can easily see how many testers fall into this haplogroup and where they have indicated as the origin of their matrilineal line.
  • The haplogroup may have several new haplogroup seeds – 34 in this case – the number of unnamed lineages
  • You can share this or other Discover pages with others by using the “share page” link in the upper right-hand corner.
  • Don’t be discouraged by the age of the haplogroup, whether it’s recent or older.

Next, let’s look at Country Frequency.

Country Frequency

Country Frequency shows the locations where testers in haplogroup U6a7a1a indicate that their EKA, or earliest known matrilineal ancestor, is found. The Country Frequency information is NOT limited to just your matches, but all testers in haplogroup U6a7a1a, some of whom may not be on your match list. Remember, only people with 3 mutations difference, or fewer, are on your match list.

Haplogroup distribution around the world is very informative as to where your ancestors came from.

There are two tabs under Country Frequency, and I’d like to start with the second one – Table View.

Table View displays all of the user-provided country locations. Note that the Haplogroup Frequency is the percentage of total testers in which this haplogroup is found in this particular country. These frequencies are almost always quite small and are location-based, NOT haplogroup based.

There are now 40,000 haplogroups, and in haplogroup U, the LeJeune sisters are 6 branches down the tree with U6a7a1a.

In total, 127 testers are members of haplogroup U6a7a1a, and 42 of those claim that their ancestor is from France, which comprises 1% of the people who have taken the full sequence mitochondrial DNA test whose ancestor is from that location.

Let’s do the math so you can see how this is calculated and why it’s typically so small. For our example, let’s say that 8000 people in the database have said their matrilineal ancestor is from France. Of the 127 haplogroup U6a7a1a members, 42 say their ancestor is from France. Divide 42 by 8,000, which is 0.00525, and round to the nearest percentage – which is 1%.

The best aspect of this page is that you can see a nice summary of the locations where people indicate that their earliest known U6a7a1a ancestor was found.

Please note that the last entry, “Unknown Origins,” is the bucket that everyone who doesn’t provide a location falls into. That row is not a total but includes everyone who didn’t provide location information.

These location results make sense for the LeJeune sisters – maybe except for Ireland and Belgium. Some people don’t understand the directions, meaning that a matrilineal ancestor or direct maternal ancestor is NOT your literal “oldest” ancestor on your mother’s side of the tree who lived to be 105, but your mother-to-mother-to-mother-to-mother ancestor, so check to see if these people with unusual locations are in your match list and view their tree or reach out to them.

We don’t know why the person who selected Native American made that choice, but I’d bet it has to do with confusion about the “other” LeJeune female, Jeanne LeJeune dit Briard. Based on Catherine and her sister, Edmee LeJeune’s haplogroup through more than 50 testers, U6a7a1a, Native is incorrect.

Of course, that tester wouldn’t have known that if they completed their EKA information before they tested. Perhaps they entered information based on the stories they had heard, or flawed genealogy, and didn’t think to go back and correct it when their results were ready, indicating that Native was mistaken.

On the “Map View” tab, the locations are shown using a heat map, where the highest percentages are the darkest. Here, both France and Canada are the darkest because that’s the most common selection for this haplogroup with 1% each, while the rest of the countries registered with less <1%.

These colors are comparative to each other, meaning that there is no hard and fast line in the sand that says some percentage or greater is always red.

To summarize these two tables, because this is important:

  • The Table View shows you how many people selected a specific country for their ancestor’s location, but the frequency is almost always very low because it’s based on the total number of testers in the entire database, comprised of all haplogroups, with ancestors from that country.
  • The Map View shows you a heat map for how frequently a particular location was selected, as compared to other locations, for this haplogroup.

To view the difference between adjacent haplogroups, I always compare at least one haplogroup upstream. In this case, that’s the parent haplogroup, U6a7a1.

The Parent Haplogroup

If you look at haplogroup U6a7a1, just one haplogroup upstream, you’ll see that for Mauritania, the total number of U6a7a1 descendants tested is only “1”, but the haplogroup frequency in Mauritania is 10% which means that there are only 10 people who have been tested in the database altogether from Mauritania – and one person is haplogroup U6a7a1.

However, due to substantial under-sampling of the Mauritania population, the frequency for Mauritania, 10%, is higher than any other location.

Also, remember, these are user-reported ancestor locations, and we have no idea if or how these people determined that their ancestor is actually from Mauritania.

Please only enter actual known locations. For example, we don’t want haplogroup U6a7a1 members to look at this informatoin, then add Mauritania as their location because now they “know” that their ancestor is from Mauritania.

On the Map View, Mauritania is dark red because the percentage is so high – never mind that there are only 10 testers who report matrilineal ancestors from there, and only one was U6a7a1.

This map illustrates one reason why taking the full sequence test is important. Viewing partial haplogroups can be deceiving.

Catherine and Edmee LeJeune’s matrilineal descendants who only tested at the HVR1 or HVR1+HVR2 level receive a predicted haplogroup of U6a, born about 21,000 years ago. That’s because the full 16,569 locations of the mitochondria need to be tested in order to obtain a full haplogroup, as opposed to about 500 locations in the HVR1 and HVR1/2, each, respectively.

U6a – The Result for HVR1/HVR2-Only Testers

So, let’s look at what haplogroup U6a reveals, given that it’s what early LeJeune descendants who ordered the lower-level tests will see.

In the Table View for U6a, below, you see that the top 5 counties listed by haplogroup frequency are five North African countries.

A total of 801 people are assigned to haplogroup U6a, meaning the majority, 757, report their ancestors to be from someplace else. If two people from the Western Sahara (Sahrawi) comprise 67% of the people who tested, we know there are only three people who have tested and selected that location for their ancestors.

If you didn’t understand how the display works, you’d look at this report and see that the “top 5” countries are North African, and it would be easy to interpret this to mean that’s where Catherine and Edmee’s ancestors are from. That’s exactly how some people have interpreted their results.

Scrolling on down the Table View, 50 testers report France, and 10 report the US, respectively, with France showing a Haplogroup Frequency of 1% and the US <1%.

The balance of U6a testers’ ancestors are from a total of 57 other countries, plus another 366 who did not select a location. Not to mention that U6a was born 21,000 years ago, and a lot has happened between then and the 1620/1630s when Catherine and Edmee were born to a French mother.

The real “problem” of course is that haplogroup U6a is only a partial haplogroup.

The U6a map shows the highest frequency based on the number of testers per country, which is why it’s dark red, but the Table View reports that the actual number of U6a testers reporting any specific country. France has 50. Next is the US, also with 50, which often means people are brick-walled here. You can view the U6a table for yourself, here.

Why is this relevant for Catherine and Edmee LeJeune? It’s very easy to misinterpret the map, and for anyone viewing U6a results instead of U6a7a1a results, it’s potentially genealogically misleading.

Use Country Frequency with discretion and a full understanding of what you’re viewing, especially for partial haplogroups from HVR1/HVR2 results or autosomal results from any vendor.

If someone tells you that the LeJeune sisters are from someplace other than France, ask where they found the information. If they mention Africa, Morocco or Portugal, you’ll know precisely where they derived the information.

This information is also available on your Maternal Line Ancestry page, under “See More,” just beneath the Matches tab. Haplogroup Origins and Ancestral Origins present the same information in a different format.

Discover is a significant improvement over those reports, but you’ll still need to read carefully, understand the message, and digest the information.

Takeaways from Country Frequency

  • Evaluate the results carefully and be sure to understand how the reports work.
  • Use complete, not partial haplogroups when possible.
  • The Haplogroup Frequency is the number of people assigned to this haplogroup divided by the entire number of people in the database who report that country location for their matrilineal ancestor. It is NOT the percentage of people in ONLY haplogroup U6a7a1a from a specific country.
  • Table view shows the number of testers with this haplogroup, with the percentage calculated per the number of people who have tested in that country location.
  • The Map shows the highest frequency based on the number of testers per country.
  • Use the map in conjunction with the haplogroup age to better understand the context of the message.

Globetrekker™, which has not yet been released, will help by tracking your ancestors’ paths from their genesis in Africa to where you initially find that lineage.

Before we move on to the Mitotree, let’s take a minute to understand genetic trees.

About Genetic Trees

The Mitotree is a genetic tree, also called a phylogenetic tree, that generally correlates relatively closely with a genealogical tree. The more testers in a particular haplogroup, the more accurate the tree.

FamilyTreeDNA provides this disclaimer information about the genetic tree. The Mitotree you see is a nice and neat published tree. The process of building the tree is somewhat like making sausage – messy. In this case, the more ingredients, the better the result.

The more people that test, the more genetic information is available to build and expand the tree, and the more accurate it becomes.

The recent Mitotree releases have moved the haplogroup “dates” for the LeJeune sisters from about 21,000 years ago for HVR1/HVR2 U6a testers to 50 CE for full sequence testers, and this may well be refined in future tree releases.

Mutations

Mutations and how to interpret them can be tricky – and this short section is meant to be general, not specific.

Sometimes mutations occur, then reverse themselves, forming a “back mutation”, which is usually counted as a branch defining a new haplogroup. If a back mutation happens repeatedly in the same haplogroup, like a drunken sailor staggering back and forth, that mutation is then omitted from haplogroup branch formation, but is still counted as a mismatch between two testers.

A heteroplasmy is the presence of two or more distinct results for a specific location in different mitochondria in our bodies. Heteroplasmy readings often “come and go” in results for different family members, because they are found at varying threshold levels in different family members, causing mismatches. Heteroplasmies are currently counted only if any person has 20% or greater of two different nucleotides. So, if you have a 19% heteroplasmy read for a particular location, and your sister has 21%, you will “not” have a heteroplasmic condition reported, but she will, and the location will be reported as a mismatch.

If you have a heteroplasmy and another family member does not, or vice versa, it’s counted as as a “mismatch,” meaning you and that family member will find yourselves in different haplotype clusters. Hetroplasmies do not presently define new tree branches. I wrote about heteroplasmies, here.

Takeaways from the Genetic Tree Disclaimer

  • DNA is fluid, mutations happen, and all mutations are not created equal.
  • Thankfully, you really don’t need to understand the nitty-gritty underpinnings of this because the scientists at FamilyTreeDNA have translated your results into reports and features that take all of this into consideration.
  • Testing more people helps refine the tree, which fills in the genetic blanks, refining the dates, and expanding branches of the tree.

Resources:

Ok, now let’s look at the Time Tree

Time Tree

The Time Tree displays your haplogroup on the Mitotree timeline. In other words, it shows us how old the haplogroup is in relation to other haplogroups, and testers.

The Time Tree displays the country locations of the ancestors of testers who are members of that and descendant or nearby haplogroups. You can view the haplogroup U6a7a1a Time Tree, here, and follow along if you wish. Of course, keep in mind that the tree is a living, evolving entity and will change and evolve over time as updated tree versions are released.

Mousing over the little black profile image, which is the person in whom this haplogroup was born, pops up information about the haplogroup. Additionally, you’ll see black bars with a hashed line between them. This is the range of the haplogroup formation date. Additional details about the range can be found on the Scientific Details tab, which we’ll visit shortly.

On your Matches tab, remember that each match has both a haplogroup and a haplogroup cluster F# listed.

On the Time Tree, individual testers are shown at right, with their selected country of origin. In this case, you’ll see the person who selected “Native American” at the top, followed by France, Canada, the US, and other flags.

Haplogroup U6a7a1a includes several haplotype clusters, designated by the rounded red brackets. In this view, we can see several people who have haplotype cluster matches. Everyone has a haplotype assignment, but a haplotype cluster is not formed until two people match exactly.

In the Time Tree view, above, you can see two clusters with two members each, and the top of a third cluster at the bottom.

In case you’re wondering why some of the globes are offset a bit, they positionally reflect the birth era of the tester, rounded to the closest 25 years, if the birth year is provided under Account Settings. If not, the current tester position defaults to 1950.

Scrolling down to the next portion of the window shows that the third cluster is VERY large. Inside the cluster, we see Belgium, Canada, and France, but we aren’t even halfway through the cluster yet.

Continuing to scroll, we see the cluster number, F7753329, in the middle of the cluster, along with the French flag, two from Ireland, four from the US, and the beginning of the large unknown group.

In this fourth screenshot, at the bottom of the display, we see the balance of haplotype cluster #F7753329, along with eight more people who are not members of that haplotype cluster, nor any other haplotype cluster.

Finally, at the bottom, we find haplogroup U6a7a1a2, a descendant haplogroup of U6a7a1a. Are they descendants of the LeJeune sisters?

Looking back at our tester’s match list, the two people who belong to the new haplogroup U6a7a1a2 haven’t provided any genealogical information. No EKA or tree, unfortunately. The haplogroup formation date is estimated as about 1483, but the range extends from about 1244-1679 at the 95th percentile. In other words, these two people could be descendants of:

  • Either Catherine or Edmee LeJeune, but not both, since all of their descendants would be in U6a7a1a2.
  • An unknown sister to Catherine and Edmee.
  • A descendant line of an ancestor upstream of Catherine and Edmee.

Takeaways from the Time Tree

  • The visualization of the matches and haplotype clusters illustrates that the majority of the haplogroup members are in the same haplogroup cluster.
  • Given that two women, sisters, are involved, we can infer that all of the mutations in this haplotype cluster were common to their mother as well.
  • Haplotype cluster #F7753329 includes 19 testers from Catherine and 17 from Edmee.
  • Downstream haplogroup U6a7a1a2 was born in a daughter of haplogroup U6a7a1a, as early as 1244 or as late as 1679. Genealogy information from the two testers could potentially tell us who the mutation arose in, and when.
  • As more haplogroup U6a7a1a2 testers provide information, the better the information about the haplogroup will become, and the formation date can be further refined.

Smaller haplotype clusters have a story to tell too, but for those, we’ll move to the Match Time Tree.

Match Time Tree

The Match Time Tree is one of my favorite reports and displays your matches on the Time Tree. This feature is only available for testers, and you must be signed in to view your Match Time Tree.

By selecting “Share Mode”, the system obfuscates first names and photos so you can share without revealing the identity of your matches. I wrote about using “Share Mode” here. I have further blurred surnames for this article.

The Match Time Tree incorporates the tree view, with time, the names of your matches PLUS their EKA name and country, assuming they have entered that information. This is one of the reasons why the EKA information is so important.

This display is slightly different than the Time Tree, because it’s one of the features you only receive if you’ve taken the mtFull test and click through to Discover from your account.

The Time Tree view is the same for everyone, but the Match Time Tree is customized for each tester.

Your result is shown first, along with your haplotype cluster if you are a member of one.

You can easily see the names of the EKAs below the obfuscated testers’ names.

While we immediately know that descendants of both Catherine and Edmee are found in the large cluster #F7753329, we don’t yet know which ancestors are included in other haplotype clusters.

Haplogroup U6a7a1a includes two smaller haplotype clusters with 2 people each.

We know a few things about each of these clusters:

  • The people in each cluster have mutations that separate them from everyone else except the other person in their cluster
  • The results are identical matches to the other person in the cluster, including less reliable locations such as 309 and 315
  • There are other locations that are excluded from haplogroup formation, but are included in matching, unlike 309 and 315.
  • Given that they match only each other exactly, AND they did not form a new haplogroup, we know that their common unique mutation that causes them to match only each other exactly is unreliable or unstable, regardless of whether it’s 309, 315, a heteroplasmy, or another marker on the list of filtered or excluded variants.

Only the tester can see their own mutations. By inference, they know the mutations of the people in their haplotype cluster, because they match exactly.

If you’re a member of a cluster and you’re seeking to determine your common ancestor, you’ll want to analyze each cluster. I’ve provided two examples, below, one each for the red and purple clusters.

Red Haplotype Cluster #F3714849

Only one person in the red cluster has included their EKA, and the tree of the second person only reaches to three generations. Tracking that line backwards was not straightforward due to the 1755 expulsion of the Acadians from Nova Scotia.

The second person listed their EKA as Edmee LeJeune, but they have a private tree at MyHeritage, so their matches can’t see anything. I wonder if they realize that their matches can’t view their tree.

We are left to wonder if both people descend from Edmee LeJeune, and more specifically, a common ancestor more recently – or if the unstable mutation that they share with each other is simply happenstance.

E-mailing these testers would be a good idea.

Purple Haplotype Cluster #F2149611

Evaluating the purple cluster reveals that the common ancestor is Catherine LeJeune. The question is twofold – how are these two people related downstream from Catherine, and how unstable is their common mutation or mutations.

Fortunately, both people have nice trees that track all the way back to Catherine.

Unfortunately, their MRCA is Francoise, the daughter of Catherine. I say unfortunately, because two additional testers also descend from Francoise, and they don’t have the haplotype cluster mutation. This tells us that the cluster mutation is unreliable and probably not genealogically relevant because it occurred in two of Francoise’s children’s lines independently, but not all four.

In other words, that specific mutation just happened to occur in those two people.

This is exactly why some mutations are not relied upon for haplogroup definition.

Takeaways from the Match Time Tree

  • The time tree is a wonderful visualization tool that shows all of your matches, their EKAs and countries, if provided, in haplotype clusters, on the Time Tree. This makes it easy to see how closely people are related and groups them together.
  • On your match page, you can easily click through to view your matches’ trees.
  • You can use both haplotype clusters (sometimes reliable) and downstream haplogroups (reliable) to identify and define lineages on your family tree. For example, if a third person matches the two in haplogroup U6a7a1a2, the child haplogroup of U6a7a1a, and you could determine the common ancestor of any two of the three, you have a good idea of the genealogical placement of the third person as well.
  • You know that if people form a haplotype cluster, but not a new haplogroup, that their common haplotype cluster-defining mutation is less reliable and may not be genealogically relevant.
  • On the other hand, those less reliable mutations may not be reliable enough for haplogroup definition, but may be relevant to your genealogy and could possibly define lineage splits. Notice all my weasel words like “may,” “may not” and “possibly.” Also, remember our purple cluster example where we know that the mutation in question probably formed independently and is simply chance.
  • I can’t unravel the ancestors of the red cluster – and if I were one of those two people, especially if I didn’t know who my ancestor was, I’d care a lot that the other person didn’t provide a useful tree. Don’t forget that you can always reach out via email, offer to collaborate, and ask nicely for information.
  • We need EKAs, so please encourage your matches to enter their EKA, upload a tree or link to a MyHeritage tree, and enter a Wikitree ID in their FamilyTreeDNA profile, all of which help to identify common ancestors.

Resources:

Classic Tree

FamilyTreeDNA invented the Time Tree and Match Time Tree to display your results in a genealogically friendly way, but there is important information to be gleaned from other tree formats as well.

The Classic Tree presents the Mitotree, haplogroup and haplotype information in the more traditional format of viewing phylogenetic trees, combining their beneficial features. There’s a lot packed in here.

In this default view, all of the Display Options are enabled. We are viewing the LeJeune haplogroup, U6a7a1a, with additional information that lots of people miss.

The countries identified as the location of testers’ earliest known ancestors (EKA) are shown.

Listed just beneath the haplogroup name, five people are members of this haplogroup and are NOT in a haplotype cluster with anyone else, meaning they have unique mutations. When someone else tests and matches them, depending on their mutation(s), a new haplogroup may be formed. If they match exactly, then at least a new haplotype cluster will be formed.

Portions of three haplotype clusters are shown in this screenshot, designated by the F numbers in the little boxes.

Additional information is available by mousing over the images to the right of the haplogroup name.

Mousing over the badge explains the era in which the haplogroup was born. Rapid expansion was taking place, meaning that people were moving into new areas.

Mousing over the date explains that the scientists behind the Mitotree are 95% certain about the date range of the birth of this haplogroup, rounded to 50 CE. Remember, your common ancestor with ALL haplogroup members reaches back to this approximate date, but your common ancestor with any one, or a group, of testers is sometime between the haplogroup formation date, 50 CE, and the present day.

Mousing over the year shows the confidence level, and the date range at that level. These dates will probably be refined somewhat in the future.

If haplogroup members have private variants, it’s likely or at least possible that a new branch will split from this one as more people test

Mousing over the star displays the confidence level of the structure of this portion of the Mitotree based on what could be either confusing or conflicting mutations in the tree. For haplogroup U6a7a1a, there’s no question about the topology, because it has a 10 of 10 confidence rating. In other words, this branch is very stable and not going to fall off the tree.

Every haplogroup is defined by at least one mutation that is absent in upstream branches of the tree. Mutations are called variants, because they define how this sample, or branch, varies from the rest of the branches in the Mitotree.

These two mutations, A2672G and T11929C, are the haplogroup-defining mutations for U6a7a1a. Everyone in haplogroup U6a7a1a will have these two mutations in addition to all of the mutations that define directly upstream haplogroups (with extremely rare exceptions). Haplogroup-defining mutations are additive.

There may be more haplogroup-defining mutations than are displayed, so click on the little paper icons to copy to your clipboard.

You can view upstream haplogroups and downstream haplogroups, if there are any, by following the back arrows to upstream haplogroups, and lines to downstream haplogroups.

For example, I clicked on the arrow beside haplogroup U6a7a1a to view its parent haplogroup, U6a7a1, and a second time to view its parent, haplogroup U6a7a. If I click on the back arrow for U6a7a, I’ll continue to climb up the tree.

Beneath U6a7a, you can see the haplogroup branches, U6a7a1a and U6a7a2.

Beneath U6a7a1, you’ll notice:

  • People who don’t share haplotype clusters with anyone
  • Three haplotype clusters
  • Five descendant haplogroups from U6a7a1, including the LeJeune sister’s haplogroup U6a7a1a.

To expand any haplogroup, just click on the “+”.

You may see icons that are unfamiliar. Mouse over the image or click on the “Show Legend” slider at upper right to reveal the decoder ring, I mean, legend.

You can read more about the symbols and how haplogroups are named, here, and see more about types of mutations in the Scientific Details section.

Takeaways from the Classic Tree

  • The Classic Tree provides a quick summary that includes important aspects of a haplogroup, including when it was formed, which mutations caused it’s formation, and each branch’s confidence level.
  • It’s easy to back your way up the tree to see where your ancestor’s founding haplogroups were located, which speaks to your ancestor’s history. Patterns, paths, and consistency are the key.
  • Ancient DNA locations in your tree can provide a very specific location where a haplogroup was found at a given point in time, but that doesn’t necessarily mean that’s where the haplogroup was born, or that they are your ancestor. We will get to that shortly.
  • You can share this page with others using the “Share Page” function at the top right.

Ancestral Path

The Ancestral Path is a stepping-stone chart where you can view essential information about each haplogroup in one row, including:

  • Age and era
  • Number of years between haplogroups
  • Number of subclades
  • Number of modern-day testers who belong to this haplogroup
  • Number of Ancient Connections that belong to this haplogroup, including all downstream haplogroups

This “at a glance” history of your haplogroup is the “at a glance” history of your ancestors.

The number in the column titled “Immediate Descendants”, which is the number of descendant haplogroups, tells a story.

If you see a large, or “larger” number there, that indicates that several “child” haplogroups have been identified. Translated, this means that nothing universally terrible has occurred to wipe most of the line out, like a volcano erupting, or a famine or plague that would constitute a constraining bottleneck event. Your ancestors’ children survived and apparently thrived, creating many descendant downstream haplogroups, known as an expansion event.

If you see a smaller number, such as rows 5, 7, 8, 9, and 13, each of which have only two surviving branches, yours and another, several branches probably didn’t survive to the present day. This may reflect a bottleneck where only a few people survived or the lines became extinct over time, having no descendants today. Either that, or the right people haven’t yet tested. Perhaps they are living in a particularly undersampled region of the world, a tiny village someplace, or there aren’t many left.

The two most recent haplogroups have the most subclades, indicating that your ancestors were successfully reproducing in the not-too-distant past. Mutations occurred because they randomly do, creating new haplogroups, and several haplogroup members have tested today. Hopefully, genealogy can connect us further.

The next column, “Tested Modern Descendants,” tallies the total number of testers as it rolls up the tree. So, each haplogroup includes the testers in its downstream (child) haplogroups. The 127 people in haplogroup U6a7a1a include the two people in haplogroup U6a7a1a2, and the 226 people in haplogroup U6a7a1 include the 127 people in haplogroup U6a7a1a.

Looking at other types of trees and resources for each haplogroup can suggest where our ancestors were at that time, perhaps correlating with world or regional history that pertains to the lives of those ancestors.

In our case, the LeJeune sisters’ ancestors did well between 3450 years ago through the formation of U6a7a1a, about 1950 years ago. 3500 years ago, in Europe, settlements were being fortified, leadership was emerging as complex social patterns formed, and trade networks developed that spanned the continent and beyond.

Between 20,000 and 3,450 years ago, not so much. This correlates to the time when early European farmers were moving from Anatolia, bringing agriculture to Europe en masse. However, they were not the first people in Europe. Early modern humans arrived and lived in small groups about 50,000 years ago.

And they very nearly didn’t survive. Many lines perished.

Takeaways from the Ancestral Path

  • The Ancestral Path shows the stepping stones back to Mitochondrial Eve, dropping hints along the way where expansions occurred, meaning that your ancestors were particularly successful, or conversely, where a bottleneck occurred and the lineage was in jeopardy of extinction.
  • In some cases, where a lot of time has passed between haplogroups, such as 8,000 years between U and U6, we’re seeing the effect of lineages dying out. However, with each new tester, there’s the possibility of a previously undiscovered branch split being discovered. That’s precisely what happened with haplogroup L7.

Migration Map

The Discover Migration Map shows the path that your ancestor took out of Africa, and where your base ancestral haplogroup was formed.

Mousing over the little red circle displays the haplogroup, and the area where it originated. Based on this location where U6 was found some 31,000 years ago, we would expect to find U6 and subgroups scattered across North Africa, the Levant, and of course, parts of Eurasia and Europe.

It’s interesting that, based on what we know using multiple tools, it appears that haplogroup U initially crossed between the Horn of Africa and the Arabian Peninsula, at the present-day Strait of Bab-el-Mandeb. Today, that crossing is about 15 nautical miles, but the sea level was much lower during earlier times in history, including the last glacial maximum. Humans would have seen land across the water, and could potentially have swum, drifted, or perhaps used early boats.

Over the next 10,000+ years, haplogroup U trekked across the Arabian peninsula into what is present-day Iran, probably moving slowly, generation by generation, then turning back westward, likely in a small group of hunter-gatherers, crossing the Nile Delta into North Africa, present-day Egypt.

They probably fished along the Nile. Food would have been plentiful along rivers and the sea.

It’s exciting to know that the ancestors of the LeJeune sisters lived right here, perhaps for millennia.

There’s more, however.

The Migration Map shows the location of the genetically closest Ancient DNA results to your haplogroup, obtained from archaeological excavations. This mapped information essentially anchors haplogroup branches in locations in both space and time.

Ancient DNA samples are represented by tiny brown trowels. Clicking on each trowel provides summary information about the associated sample(s) in that location.

Takeaways from the Migration Map

  • Scientists have estimated the location where your base haplogroup originated. For the LeJeune sisters, that’s haplogroup U6 in North Africa along the Mediterranean Sea.
  • The trowels show the locations of the genetically closest archaeological samples, aka Ancient Connections, in the FamilyTreeDNA data base.
  • These Ancient Connections displayed on the map may change. New samples are added regularly, so your older samples, except for the oldest two, which remain in place for each tester, will roll off your list when genetically closer Ancient Connections become available.
  • There are no Ancient Connections for the LeJeune sisters in France today, but keep in mind that Europe is closely connected. Today’s French border is only about 25 miles as the crow flies from Goyet, Belgium. France, sea to sea, is only about 500 miles across, and at its closest two points, less than 250 miles.
  • Samples found at these locations span a large timeframe.

There’s a LOT more information to be found in the Ancient Connections.

Ancient Connections

Ancient Connections is one of my favorite Discover features. This information would never have been available, nor synthesized into a usable format, prior to the introduction of Mitotree and mtDNA Discover. Ancient Connections unite archaeology with genealogy.

  • The first thing I need to say about Ancient Connections is that it’s unlikely that these individuals are YOUR direct ancestors. Unlikely does not mean impossible, but several factors, such as location and timeframe need to be considered.
  • What is certain is that, based on their mitochondrial haplogroup, you SHARE a common ancestor at some point in time.
  • Ancient samples can be degraded, with missing genetic location coverage. That means that not every mutation or variant may be able to be read.
  • Different labs maintain different quality criteria, and location alignments may vary, at least somewhat, lab to lab. While this is always true, it’s particularly relevant when comparing ancient DNA results which are already degraded.
  • Samples are dated by archaeologists using a variety of methodologies. FamilyTreeDNA relies on the dates and historical eras provided in the academic papers, but those dates may be a range, or contain errors.
  • Obtaining information from ancient DNA samples isn’t as easy or straightforward as testing living people.

However, the resulting information is still VERY useful and incredibly interesting – filling in blanks with data that could never be discerned otherwise.

Many people mistakenly assume that these Ancient Connections are their ancestors, and most of the time, not only is that not the case, it’s also impossible. For example, a woman who lived in 1725 cannot be the ancestor of two sisters who were born in 1624 and 1633, respectively.

When you click on Ancient Connections, you see a maximum of about 30 Ancient Connections. Information about the genetically closest burial is displayed first, with the most distant last on the list.

Please note that the final two are the oldest and will (likely) never change, or “roll off” your list, unless an even older sample is discovered. When new samples become available and are genetically closer, the oldest other samples, other than the oldest two, do roll off to make space for the closer haplogroups and their corresponding samples.

Obviously, you’ll want to read every word about these burials, because nuggets are buried there. I strongly encourage you to read the associated papers, because these publications reveal snippets of the lives of your haplogroup ancestors and their descendants.

The small pedigree at right illustrates the relationship between the ancient sample and the haplogroup of the tester. Three things are listed:

  1. El Agujero 8, the name assigned by the authors of the paper that published the information about this ancient sample
  2. The haplogroup of the LeJeune descendant who tested
  3. The haplogroup of their common ancestor.

If no haplogroup is specifically stated for the ancient sample, the sample is the same haplogroup as the common shared ancestor (MRCA), meaning the tester and the ancient sample share the same haplogroup.

The Time Tree beneath the description shows the tester’s haplogroup, (or the haplogroup being queried), the ancient sample, and their common ancestral haplogroup.

Let’s analyze this first sample, El Agujero 8.

  • The person whose remains were sampled lived about 1375 years ago (I’ve averaged the range), in the Canary Islands, and is part of the Guanche culture.
  • The Guanche are the indigenous people of the Canary Islands, already established there before the arrival of Europeans and the Spanish conquest of the 1400s.
  • The Guanche people are believed to have arrived in the Canaries sometime in the first millennium BCE (2000-3000 years ago) and were related to the Berbers of North Africa.
  • This makes sense if you consider the Migration map and geographic proximity.
  • Haplogroup U6a7a1, the haplogroup of El Agujero 8, is the shared ancestral haplogroup with the LeJeune sisters.
  • That woman, U6a7a1, lived around 1450 BCE, or 3450 years ago, probably someplace in North Africa, the Mediterranean basin, or even in the Nile Delta region, given the correlation between the Canary Islands settlement, the Berbers, and the Migration Map.
  • This does NOT mean that the ancestor of the LeJeune sisters lived in the Canary Islands. It means that a descendant of their MRCA, haplogroup U6a6a1, the shared common ancestor with the LeJeune sisters, lived in the Canary Islands.

Ancient Connections Chart Analysis Methodology

I create an Ancient Connection chart for each haplogroup I’m dealing with. We’re analyzing the LeJeune sisters today, but I track and analyze the haplogroup for every ancestor whose haplogroup I can find, or for whom I can find a descendant to test.

In this chart, YA=years ago and is based on the year 2000. KYA=thousand years ago, so 10 KYA is 10,000 years ago.

Name Person Lived Location & Culture Haplogroup, Date & Age Shared (MRCA) Haplogroup, Date & Age Note
LeJeune Sisters Born 1624 & 1633 French Acadian U6a7a1a,

50 CE,

1950 YA

U6a7a1a,

50 CE,

1950 YA

In Acadia by 1643/44
El Agujero 8 1375 CE Canary Islands, Guanche U6a7a1

1450 BCE, 3450 YA

U6a7a1 1450 BCE, 3450 YA Guanche arrived in Canaries in 1st millennium BCE, related to Berbers
Djebba 20824 6000 BCE Jebba, Bājah, Tunisia, Neolithic U6a3f3’4’5

c 5000 BCE, 7000 YA

U6a1”9

19,000 BCE, 21,000 YA

This archaeology site is on the northernmost point of North Africa
Djebba 20825 5900 BCE Djebba, Bājah, Tunisia, Neolithic U6a1”9

19,000 BCE, 21,000 YA

U6a1”9

19,000 BCE, 21,000 YA

This archaeology site is on the northernmost point of North Africa
Egyptian Mummy 2973 200 BCE Abusir el-Meleq, Giza, Egypt, Ptolemaic Kingdom U6a3h^,

1450 BCE,

3450 YA

U6a1”9

19,000 BCE, 21,000 YA

Nile Delta probably, paper says they share ancestry with near easterners
Egyptian Mummy 2888 100 BCE Abusir el-Meleq, Giza, Egypt, Ptolemaic Kingdom U6a2a’c,

11,000 BCE,

13,000 YA

U6a1”9

19,000 BCE, 21,000 YA

Nile Delta probably, paper says they share ancestry with near easterners
Segorbe Giant (6’3”) 1050 CE Plaza del Almudín, Valencia, Spain, Islamic necropolis burial U6a1a1, 14,000 BCE, 16,000 YA

 

U6a1”9

19,000 BCE, 21,000 YA

Paper says his genetic makeup is Berber and Islamic Spain, buried in Islamic style on right side facing Mecca.
Sweden Skara 1050 CE Varnhem, Skara, Sweden, Viking Swedish culture U6a1a3a, 7350 BCE, 9350 YA, U6a1”9

19,000 BCE, 21,000 YA

Viking burial

 

Chapelfield 696 1180 CE Chapelfield, Norwich, England, Ashkenazi Jewish Medieval age U6a1b1b. 400 BCE,

2400 YA

 

U6a1”9

19,000 BCE, 21,000KYA

Possibly the 1190 antisemitic Norwich massacre
Montana Mina 38 1200 CE Montana Mina, Lanzarote, Spain (Canary Islands), Guanche culture U6a1a1b1 U6a1”9

19,000 BCE, 21,000 YA

Guanche arrived in Canaries in 1st millennium BCE, related to Berbers
Amina 1725 CE Gaillard Center, Charleston, South Carolina, Enslaved African American burials U6a5b’f’g,

9550 BCE, 11,550 YA,

U6a1”9

19,000 BCE, 21,000 YA

Remains of pre-Civil War enslaved Africans unearthed in Charleston, SC
Doukanet el Khoutifa 22577 4400 BCE Doukanet el Khoutifa, Mars, Tunisia, Maghrebi cultural group U6b,

6500 BCE, 8500 YA

 

U6a’b’d’e, 23,000 BCE, 25,000 YA Late Stone Age, shows some admixture with European Hunter-Gatherers, possibly back and forth from Sicily
Guanche 12 625 CE Tenerife, Spain (Canary Islands), Guanche, Medieval U6b1a1’6’8’9, 1 BCE,

2100 YA

U6a’b’d’e, 23,000 BCE, 25,000 YA Guanche arrived in the Canaries in 1st millennium BCE, related to Berbers
Guanche 14 775 CE Tenerife, Spain (Canary Islands), Guanche, Medieval U6b1a1’6’8’9, 1 BCE,

2100 YA

U6a’b’d’e, 23,000 BCE, 25,000 YA Ditto above
Antocojo 27 875 CE Antocojo, La Gomera, Spain (Canary Islands) U6b1a1’6’8’9, 1 BCE,

2100 YA

U6a’b’d’e, 23,000 BCE, 25,000 YA Ditto above
Guanche 13 900 CE Cave, Tenerife, Spain (Canary Islands), Medieval U6b1a1’6’8’9, 1 BCE,

2100 YA

U6a’b’d’e, 23,000 BCE, 25,000 YA Ditto above
Guanche 1 1090 CE Cave, Tenerife, Spain (Canary Islands), Medieval U6b1a1’6’8’9, 1 BCE,

2100 YA

U6a’b’d’e, 23,000 BCE, 25,000 YA Ditto above
Barranco Majona 30 1325 CE Barranco Majona, La Gomera, Spain (Canary Islands), Guanche late Medieval U6b1a1’6’8’9, 1 BCE,

2100 YA

U6a’b’d’e, 23,000 BCE, 25,000 YA Ditto above
Kostenki 14 36,000 BCE Markina Gora, Kostyonki, Voronezh Oblast, Russia U2,

43,000 BCE, 45,000 YA

 

U,

43,000 BCE, 45,000 YA

European/Asian steppe earliest hunter-gatherers. Farming didn’t arrive until 10 KYA. Admixture from Asia as well.
Kostenki 12 31,000 BCE Volkovskaya, Voronezh region, Russian Federation. U2c’e,

43,000 BCE, 45,000 YA

 

U,

43,000 BCE, 45,000 YA

Early hunter-gatherer
Krems 3 29,000 BCE Wachtberg in Krems, Lower Austria, Austria, Gravettian culture U5,

32,000 BCE,

34,000 YA

U,

43,000 BCE, 45,000 YA

Endured the ice age, sophisticated toolmaking, Venus figures, mobile lifestyle, mammoth hunters
Krems Twin 1 28,800 BCE Left bank of the Danube, Krems-Wachtberg, Austria, Gravettian culture U5,

32,000 BCE,

34,000 YA

U,

43,000 BCE, 45,000 YA

Double grave for twins, 1 newborn, one age about 50 days
Krems Twin 2 28,800 BCE Left bank of the Danube, Krems-Wachtberg, Austria, Gravettian culture U5,

32,000 BCE,

34,000 YA

U,

43,000 BCE, 45,000 YA

Ditto above
Vestonice 13 28,900 BCE Pavlovské Hills, South Moravia, Czech Republic, Grevettian culture U8b^,

37,000 BCE, 39,000 YA

 

U,

43,000 BCE, 45,000 YA

Ice Age Europe, few samples before farming introduced. Believe these Gravettian individuals are from a single founder population before being displaced across a wide European region.
Vestonice 14 28,900 BCE Dolni Vestonice, Brezi, Czech Republic, Gravettian culture U5,

32,000 BCE,

34,000 YA

U,

43,000 BCE, 45,000 YA

Ditto above
Vestonice 16 28,900 BCE Dolni Vestonice, Brezi, Czech Republic, Gravettian culture U5,

32,000 BCE,

34,000 YA

U,

43,000 BCE, 45,000 YA

Ditto above
Grotta delle Mura child 15,100 BCE Grotta delle Mura, Bari, Italy, Paleolithic Italian culture U2”10,

43,000 BCE, 45,000 YA

U,

43,000 BCE, 45,000 YA

This baby, interred in a small shoreline cave, was less than 9 months old and had blue eyes
Goyette Q2 13,100 BCE Troisième Caverne, Goyet, Belgium, Magdaleian culture named after the La Madeleine rock shelter in France U8a,

10,000 BCE,

12,000 YA

 

U,

43,000 BCE, 45,000 YA

These hunter-gatherer people may have been responsible for the repopulation of Northern Europe. Cave art, such as that at Altamira, in Northern Spain is attributed to the Magdalenian culture.
Villabruna 1 12,000 BCE Villabruna, Italy, Paleolithic culture U5b2b,

9700 BCE,

11,700 YA

 

U,

43,000 BCE, 45,000 YA

Rock shelter in northern Italy where this man was buried with grave goods typical of a hunter and covered in painted stones with drawings. The walls were painted in red ochre.
Oberkasel 998 12,000 BCE Oberkassel , Bonn, Germany, Western Hunter-Gatherer culture U5b1 U,

43,000 BCE, 45,000 YA

Double burial found in a quarry with 2 domesticated dogs and grave goods. Genis classification was uncertain initially as they were deemed, “close to Neanderthals.”

Creating a chart serves multiple functions.

  1. First, it allows you to track connections methodically. As more become available, older ones fall off the list, but not off your chart.
  2. Second, it allows you to analyze the results more carefully.
  3. Third, it “encourages” you to spend enough time with these ancient humans to understand and absorb information about their lives, travels, and migrations – all of which relate in some way to your ancestors.

When creating this chart, I looked up every shared haplogroup to determine their location and what could be discerned about each one, because their story is the history of the LeJeune sisters, and my history too.

Ok, so I can’t help myself for a minute here. Bear with me while we go on a little Ancient Connections tour. After all, history dovetails with genetics.

How cool is it that the LeJeune sisters’ ancestor, around 20,000 years ago, who lived someplace in the Nile Delta, gave birth to the next 1000 (or so) generations?

Of course, the Great Pyramids weren’t there yet. They were built abotu 4600 years ago.

Those women gave birth to two women about 2200 years ago whose mummified remains were found in the Pyramids at Giza. The associated paper described Egypt in this timeframe as a cultural crossroads which both suffered and benefitted from foreign trade, conquest and immigration from both the Greeks and Romans.

You can read more about burials from this timeframe in The Beautiful Burial in Roman Egypt, here. A crossroads is not exactly what I was expecting, but reading the papers is critically important in understanding the context of the remains. This book is but one of 70 references provided in the paper.

Some burials have already been excavated, and work continues in the expansive pyramid complex.

The Egyptian sun is unforgiving, but Giza eventually gives up her secrets. Will more distant cousins of the LeJeune sisters be discovered as burial chambers continue to be excavated?

We know little about the lives of the women interred at Giza, but the life of another Ancient Connection, Amina, strikes chords much closer to home.

Amina, an enslaved woman, is another descendant of that woman who lived 20,000 years ago. She too is related to the Giza mummies.

Amina was discovered in a previously unknown burial ground in downtown Charleston, SC, that held the remains of enslaved people who had been brought, shackled, from Africa to be sold. Amina’s remains convey her story – that she was kidnapped, forced into the Middle Passage, and miraculously survived. She succumbed around 1725 in Charleston, SC, near the wharf, probably where her prison ship docked.

Charleston was a seaport where more than a quarter million enslaved people disembarked at Gadsden’s Wharf, awaiting their fate on the auction block. The location where Amina’s burial was found is only about 1000 feet from the wharf and is now, appropriately, considered sacred ground. Ohhh, how I’d like to share this information with Amina.

A hundred years earlier, a different ancestor of that women who lived 20,000 years ago gave birth to the mother of the LeJeune sisters, someplace in France.

Moving further back in time, another distant cousin was unearthed at the Kostyonki–Borshchyovo archaeological complex near the Don River in Russia.

Photographed by Andreas Franzkowiak (User:Bullenwächter) – Archäologisches Museum Hamburg und Stadtmuseum Harburg, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=58260865

Markina Gora is an incredibly famous location yielding both specimens included here, as well as this famous Venus figurine from the Gravettian culture, dating from about 27,000 years ago.

Bust of Kostenki 14 reconstructed from the burial.

The earliest of these hunter-gatherers in Europe, believed to be a small group of humans, interbred with Neanderthals. Kostenki 14 carried Neanderthal introgression dating back to about 54,000 years ago.

A layer of volcanic ash, thought to be from a volcano near Naples that erupted about 39,000 years ago, is found above the remains, speaking to events that our ancestors survived after this man lived.

I know we’ve traveled far back in history from the LeJeune sisters, but these ancient humans, the MRCA of each upstream haplogroup, are our ancestors, too.

What does all this mean?

At first glance, it’s easy to assume that all of the locations are relevant to our direct ancestors. Not only that, many people assume that all of these people ARE our ancestors. They aren’t.

Creating the Ancient Conenctions Chart should help you gain perspective about how these people are related to you, your ancestors, and each other.

Each individual person is connected to you and your ancestors in various ways – and their stories weave into yours.

Discover provides everyone has a mini-Timeline for each Ancient Connection. It’s easy to see that the tester, who tested in the modern era, since the year 1950, is not descended from El Agujaro 8, who lived in the 1300s and whose common (shared) haplogroup with the tester, U6a7a1, was born between 2100 BCE and 900 BCE, or between 4100 and 2900 years ago. The most probable date is about 3450 years ago.

The Timeline for each ancient sample includes:

  1. Your haplogroup’s mean birth year
  2. Ancient Connection’s birth year
  3. Ancient Connection’s haplogroup mean birth year, if different from the common haplogroup (in the example above, 3 and 4 are the same)
  4. Birth year of your common ancestor (MRCA), which is your common haplogroup

It’s easy to see the relevant information for each sample, but it’s not easy to visualize the trees together, so I’m creating a “rough” tree in Excel to help visualize the “big picture”, meaning all of the Ancient Connections.

How Do I Know Which Ancient Connections Even MIGHT Be My Ancestors and How We Are All Related?

That’s a great question and is exactly why I created this chart in an ancient haplogroup spreadsheet.

Click on any image to enlarge

In this chart, you can see the LeJeune sisters, in red, at the bottom, and their direct line hereditary haplogroups, in purple, descending from haplogroup U at the top.

Branching to the left and right from intersections with their purple hereditary haplogroups are other branches that the LeJeune sisters don’t share directly. However, the ancient remains that carry those haplogroups are “haplocousins” at a distant point in time, with our LeJeune sisters.

There only two burials that carry the same ancestral haplogroup as the LeJeune sisters:

  1. El Agujero 8, haplogroup U6a7a1 who lived in the Canary Islands in the year 1275
  2. Djebba 20825, who lived in Tunisia about 6,100 years ago

Clearly, Djebba, with a common haplogroup that lived about 21,000 years ago cannot be the ancestor of the LeJeune sisters, but they share a common ancestor. If Djebba was an ancestor of the LeJeune sisters, then Djebba would also descend from haplogroup U6a7, born about 20,600 years ago, like the LeJeune sisters do.

A cursory glance might suggest that since the sample, El Agujero 8 lived in the Canary Islands about 1275, haplogroup U6a7a1 was born there. However, if you read the papers associated with all of the samples found in the Canaries, Tunisia, Spain and other locations, you’ll discover that these populations moved back and forth across the Mediterranean. You’ll also discover that the earliest European haplogroup U samples found in Europe are believed to be the founders of haplogroup U in Europe. It’s possible that U6 dispersed into Italy and Spain, regions with significant exchange with North Africa.

It’s extremely unlikely that El Agujero 8, who lived about the year 1275 CE, was the ancestor of the LeJeune sisters, but it’s not entirely impossible. What’s more likely is that they descended from a common population that moved between Spain, the Canaries, and North Africa where other similar burials are found, like Tunisia. We know that Rome largely conquered France during the Gallic Wars (56-50 BCE), so it’s not terribly surprising that we find haplogroup U6a7a1 and descendants scattered throughout Europe, the Iberian peninsula, the Roman empire, and North Africa.

Sometime between the birth of haplogroup U6a7a1, about 3450 years ago, the descendants of that woman found their way both to France before the 1600s and also to the Canaries before 1275.

Takeaways from Ancient Connections

  • I recommend that you read the associated academic papers and publications that provide the Ancient Connections mitochondrial haplogroups. Those publications are chock full of important cultural information.
  • Globetrekker™, which won’t be released until some time after the next release of the Mitotree, will help with tracking the path of your ancestors, especially where it’s complex and uncertain.
  • The “haplosisters” and “haplocousins” of the French LeJeune sisters are quite diverse, including Egyptian pyramid burials in Giza, a Muslim necropolis burial in Spain, a Viking in Sweden, indigenous Canary Islanders, a Tunisian site on the Northern-most tip of Africa, a Jewish burial in England, an enslaved woman in South Carolina, the Markina Gora site in Russia, caves in Austria, the Czech Republic, Belgium, Germany and Italy.
  • Ancient Connections are more than just interesting. On another genealogical line, I found a necropolis burial with my ancestor’s haplogroup located about 9 km from where my ancestor is believed to have lived, dating from just a few hundred years earlier.
  • FamilyTreeDNA adds more Ancient Connections weekly.

Resources

Notable Connections

Notable Connections are similar to Ancient Connections, except they are generally based on modern-day or relatively contemporary testers and associated genealogy. Some samples are included in both categories.

Three Notable Connections are included with the public version of Discover, and additional Notable Connections are provided, when available, for testers who click through from their account.

Some Notable Connections may be close enough in time to be useful for genealogy based on their haplogroup, their haplogroup history, and the tester’s history as well.

In this case, the closest two Notable Connections are both included in Ancient Connections, so we know that the rest won’t be closer in time.

The common ancestor, meaning common haplogroup, of Cheddar Man and the rest, reaches all the way back to haplogroup U, born about 45,000 years ago, so these particular Notable Connections can be considered “fun facts.”

However, if the first (closest) notable connection was a famous person who lived in France in the 1600s, and was the same or a close haplogroup, that could be VERY beneficial information.

Takeaways from Notable Connections

  • Mostly, Notable Connections are just for fun – a way to meet your haplocousins.
  • Notable Connections are a nice way to emphasize that we are all connected – it’s only a matter of how far back in time.
  • That said, based on the haplogroup, location and date, you may find Notable Connections that hold hints relevant to your ancestry.

Scientific Details

Scientific Details includes two pages: Age Estimates and Variants.

Scientific Details Age Estimates

Haplogroup ages are calculated using a molecular clock that estimates when the mutation defining a particular haplogroup first arose in a woman.

Since we can’t go back in time, test everyone, and count every single generation between then and now – scientists have to reconstruct the phylogenetic tree.

The more people who test, the more actual samples available to use to construct and refine the Mitotree.

The “mean” is the date calculated as the most likely haplogroup formation date.

The next most likely haplogroup formation range is the 68% band. As you can see, it’s closest to the center.

The 95% and 99% likelihood bands are most distant.

I know that 99% sounds “better” than 68%, but in this case, it isn’t. In fact, it’s just the opposite – 99% takes in the widest range, so it includes nearly all possibile dates, but the center of the range is the location most likely to be accurate.

The full certainty range is the entire 100% range, but is extremely broad. The mean is  the date I normally use, UNLESS WE ARE DEALING WITH CONTEMPORARY DATES.

For example, if the LeJeune sisters’ haplogroup was formed in 1550 CE at the mean, I’d be looking at the entire range. Do their approximate birth years of 1624 and 1633 fall into the 68% range, or the 95% range, and what are the years that define those ranges?

Scientific Details Variants

Next, click on the Variants tab.

To view your haplotype cluster, the F#, and your private variants, slide “Show private variants” at upper right above the black bar to “on.” This feature is only available for testers who sign in and click through to mtDNA Discover from their page.

The Variants tab provides lots of information, beginning with a summary of your:

  • Haplotype cluster F number, which I’ve blurred
  • Private variants, if any
  • End-of-branch haplogroup information

The most granular information is shown first.

Your haplotype cluster number is listed along with any private variants available to form a new haplogroup. In this case, there are no private variants for these haplotype cluster members. Every cluster is different.

Just beneath that, listed individually, are the variants, aka SNPs, aka mutations that identify each haplogroup. The haplogroup with the red square is yours.

Everyone in this haplogroup shares these two mutations: A2672G and T11929C. Because two variants define this haplogroup, it’s possible that one day it will split if future testers have one but not the other variant.

Information in the following columns provides details about each mutation. For example, the first mutation shown for haplogroup U6a7a1a is a transition type SNP mutation in the coding region, meaning it’s only reported in the full sequence test, where the A (Adenine) nucleotide, which is ancestral, mutated to a G (Guanine) nucleotide which is derived. This is essentially before (reference) and after (derived).

If you mouse over the Weight column, you’ll see a brief explanation of how each mutation is ranked. Essentially, rarer mutation types and locations are given more weight than common or less stable mutation types and/or locations.

Mutations with orange and red colors are less stable than green mutations.

Following this list from top to bottom essentially moves you back in time from the most recently born haplogroup, yours, to haplogroup L1”7, the first haplogroup in this line to branch from Mitochondrial Eve, our common ancestor who lived about 143,000 years ago in Africa.

View More

Clicking on the “View More” dropdown exposes additional information about the various types of mutations and Filtered Variants. Filtered Variants, in the current version of the Mitotree, are locations combined with specific mutation types that are excluded from branch formation.

Please note that this list may change from time to time as the tree is updated.

Takeaways from Scientific Details

  • Based on the Age Estimate for haplogroup U6a7a1a, it’s most likely to have formed about the year 29, but could have formed anytime between about 186 BCE and 230 CE. While this range may not be terribly relevant for older haplogroups, ranges are very important for haplogroups formed in a genealogical era.
  • People who are members of this example haplotype cluster do not have any private variants, so they are not candidates to receive a new haplogroup unless the upstream tree structure itself changes, which is always possible.
  • A significant amount of additional scientific information is available on these two tabs.
  • A list of locations currently excluded from haplogroup formation is displayed by clicking on the “View more” dropdown, along with information about various types of mutations. This list will probably change from time to time as the tree is refined.

Compare

Compare is a feature that allows you to compare two haplogroups side by side.

Let’s say we have an additional woman named LeJeune in Acadia, aside from Catherine and Edmee. As it happens, we do, and for a very long time, assumptions were made that these three women were all sisters.

Jeanne LeJeune dit Briard was born about 1659 and died after 1708. She is the daughter of unknown parents, but her father is purported to be Pierre LeJeune born about 1656, but there’s no conclusive evidence about any of that.

Jeanne LeJeune dit Briard married twice, first to Francois Joseph. Their daughter, Catherine Joseph’s marriage record in 1720 lists Jeanne, Catherine’s mother, as “of the Indian Nation.”

Several direct matrilineal descendants of Jeanne LeJeune dit Briard have joined the Acadian AmerIndian DNA Project, revealing her new Mitotree haplogroup as haplogroup A2f1a4+12092, which is Native American.

If Jeanne LeJeune dit Briard born about 1659, and Edmee and Catherine LeJeune, born about 1624 and 1633, respectively, are full or matrilineal half-siblings, their mitochondrial DNA haplogroups would match, or very closely if a new branch had formed in a descendant since they lived.

Let’s use the Compare feature to see if these two haplogroups are even remotely close to each other.

Click on “Compare.”

The first haplogroup is the one you’re searching from, and you’ll choose the one to compare to.

Click on “Search a haplogroup” and either select or type a haplogroup.

The two haplogroups are shown in the little pedigree chart. The origin dates of both haplogroups are shown, with their common shared ancestor (MRCA) positioned at the top. The most recent common, or shared, ancestor between Jeanne LeJeune dit Briard, who was “of the Indian Nation” and Catherine and Edmee LeJeune is haplogroup N+8701, a woman born about 53,000 years ago.

There is absolutely NO QUESTION that these three women DO NOT share the same mother.

Jeanne LeJeune dit Briard is matrilineally Native, and sisters Caterine and Edmee LeJeune are matrilineally European.

Takeaways from Compare

  • The MRCA between Jeanne LeJeune dit Briard and sisters, Edmee and Catherine LeJeune is about 53,000 years ago.
  • Jeanne was clearly not their full or maternal sister.
  • Compare provides an easy way to compare two haplogroups.

Suggested Projects

Projects at FamilyTreeDNA are run by volunteer project administrators. Some projects are publicly viewable, and some are not. Some project results pages are only visible to project members or are completely private, based on settings selected by the administrator.

When testers join projects, they can elect to include or exclude their results from the public project display pages, along with other options.

The “Suggested Projects” report in Discover provides a compilation of projects that others with the haplogroup you’re viewing have joined. Keep in mind that they might NOT have joined due to their mitochondrial DNA. They may have joined because of other genealogical lines.

While these projects aren’t actually “suggested”, per se, for you to join, they may be quite relevant. Viewing projects that other people with this haplogroup have joined can sometimes provide clues about the history of the haplogroup, or their ancestors, and therefore, your ancestors’ journey.

Remember, you (probably) won’t match everyone in your haplogroup on your matches page, or the Match Time Tree, so projects are another avenue to view information about the ancestors and locations of other people in this haplogroup. The projects themselves may provide clues. The haplogroup projects will be relevant to either your haplogroup, or a partial upstream haplogroup.

The haplogroup U6 project includes multiple U6 daughter haplogroups, not just U6a7a1a, and includes testers whose ancestors are from many locations.

The U6 project has labeled one group of 38 members the “Acadian cluster.” Of course, we find many descendants of Catherine and Edmee LeJeune here, along with testers who list their earliest known ancestor (EKA) as a non-Acadian woman from a different location.

The ancestors of Martha Hughes, who lived in Lynn, Massachusetts, and Mary Grant from Bathhurst, New Brunswick may well be descendants of Edmee or Catherine.

Or, perhaps they are a descendant of another person who might be a connection back to France. If you’re the Hughes or Grant tester, you may just have tested your way through a brick wall – and found your way to your LeJeune ancestors. If you’re a LeJeune descendant, you might have found a link through one of those women to France. Clearly, in either case, additional research is warranted.

For descendants of Catherine and Edmee, you’re looking for other testers, probably from France, whose ancestors are unknown or different from Edmee and Catherine. That doesn’t mean their genealogy is accurate, but it does merit investigation.

Check to see if someone with that EKA is on your match list, then check their tree.

For Catherine and Edmee LeJeune, other than Martha and Mary, above, there was only one EKA name of interest – a name of royalty born in 1606. However, research on Marie Bourbon shows that she was not the mother of the LeJeune sisters, so that tester is either incorrect, or confused about what was supposed to be entered in the EKA field – the earliest known direct matrilineal ancestor.

You may also find people in these projects who share your ancestor, but have not upgraded to the full sequence test. They will have a shorter version of the haplogroup – in this case, just U6a. If they are on your match list and their results are important to your research, you can reach out to them and ask if they will upgrade.

If you’re working on an ancestor whose mitochondrial DNA you don’t carry, you can contact the project administrator and ask them to contact that person, offering an upgrade.

Takeaways from Suggested Projects

  • Suggested Projects is a compilation of projects that other people with this haplogroup have joined. Haplogroup-specific projects will be relevant, but others may or may not be.
  • Testers may have joined other projects based on different lineages that are not related to their mitochondrial line.

We’re finished reviewing the 12 Discover reports, but we aren’t finished yet with the LeJeune analysis.

Another wonderful feature offered by FamilyTreeDNA is Advanced Matching, which allows you to search using combinations of tests and criteria. You’ll find Advanced Matching on your dashboard.

Advanced Matching

Advanced Matching, found under “Additional Tests and Tools,” is a matching tool for mitochondrial DNA and other tests that is often overlooked.

You select any combination of tests to view people who match you on ALL of the combined tests or criteria.

Be sure to select “yes” for “show only people I match in all selected tests,” which means BOTH tests. Let’s say you match 10 people on both the mitochondrial DNA and Family Finder tests. By selecting “Yes,” you’ll see only those 10 people. Otherwise you’ll get the list of everyone who matches you on both tests individually. If you have 100 mitochondrial matches, and 2000 autosomal matches, you’ll see all 2100 people – which is not at all what you want. You wanted ONLY the people who match you on both tests – so be sure to select “yes.”

The combination of the FMS, full sequence test, plus Family Finder displays just the people you match on both tests – but keep in mind that it’s certainly possible that you match those people because of different ancestors. This does NOT mean you match on both tests thanks to the LeJeune sisters. You could match another tester because of a different Acadian, or other, ancestor.

This is especially true in endogamous populations, or groups, like the Acadians, with a significant degree of pedigree collapse.

Advanced Matching Tip

You can also select to match within specific projects. This may be especially useful for people who don’t carry the mitochondrial DNA of the LeJeune sisters, but descend from them.

Switching to my own test, I’ve selected Family Finder, and the Acadian AmerIndian Project, which means I’ll see everyone who matches me on the Family Finder test AND is a member of that project.

Given that I’ve already identified the haplogroup of Catherine LeJeune, I can use known haplogroups to filter autosomal matches, especially in focused projects such as the Acadian AmerIndian Project. This helps immensely to identify at least one way you’re related to other testers.

By clicking on the match’s name, I can see their EKA information. By clicking on their trees, I can verify the ancestral line of descent.

Of course, in Acadian genealogy, I’m probably related to these cousins through more than one ancestor, but using Advanced Matching, then sorting by haplogroup is a great way to identify at least one common ancestor!

Takeaways from Advanced Matching

  • Advanced Matching is a wonderful tool, but make sure you’re using it correctly. Click “Yes” to “Show only people I match in all selected tests.” Please note that if you select all three levels of mtDNA test, and you don’t match at the HVR1 level due to a mutation, that person won’t be shown as a match because you don’t match them on all test levels selected. I only select “FMS” and then my second test.
  • You may match someone on either Y-DNA or mitochondrial DNA and the autosomal Family Finder through different ancestral lines.
  • Advanced Matching is a great way to see who you match within a project of specific interest – like the Acadian AmerIndian Project for the LeJeune sisters.
  • You will match people outside of projects, so don’t limit your analysis.

Drum Roll – LeJeune Analysis

It’s finally time to wrap up our analysis.

The original questions we wanted to answer were:

  • Were Edmee and Catherine LeJeune actually sisters?
  • Was their mother Native American?
  • Was the third woman, Jeanne LeJeune dit Briard, also their sister?
  • Are there any other surprises we need to know about?

We now have answers, so let’s review our evidence.

  • Based on the haplogroup of Edmee and Catherine LeJeune both, U6a7a1a, which is clearly NOT of Native American origin, we can conclude that they are NOT Native American through their matrilineal side.
  • Native American haplogroups are subsets of five base haplogroups, and U is not one of them.

There’s other information to be gleaned as well.

  • Based on the haplogroup of Jeanne LeJeune dit Briard, A2f1a4+12092, plus her daughter’s marriage record, we can conclude that (at least) her mother was Native American.
  • Based on Jeanne’s Native American haplogroup alone, we can conclude that she is not the full sister of the Catherine and Edmee LeJeune.
  • Based on Jeanne’s birth date, about 1659, it’s clear that she cannot be the full sibling of Catherine born about 1633, and Edmee LeJeune, born about 1624, and was probably a generation too late to be their paternal half sister. Later lack of dispensations also suggests that they were not half-siblings.
  • Based on the known Acadian history, confirmed by contemporaneous records, we can state conclusively that Edmee LeJeune was born in France and Catherine probably was as well. The first Acadian settlement did not occur until 1632, and the first known families arrived in 1636.
  • Based on the fact that Catherine and Edmee’s haplogroups match, and many of their descendants’ mitochondrial DNA matches exactly, combined with later dispensations, we can conclude that Catherine and Edmee were sisters.
  • We can conclusively determine that Catherine and Edmee were NOT Native on their matrilineal side, and given that they were born in France, their father would have been European as well. However, we cannot determine whether their descendants married someone who was either Native or partially Native.
  • We know that information for partial haplogroup U6a, provided for HVR1 and HVR1+HVR2-only testers is not necessarily relevant for full sequence haplogroup U6a7a1a.
  • The recent Mitotree release has moved the haplogroup “dates” for the LeJeune sisters from about 21,000 years ago for HVR1/HVR2 U6a testers to 50 CE for full sequence testers,. These dates may well be refined in future tree releases.
  • Having multiple testers has provided us with an avenue to garner a massive amount of information about the LeJeune sisters, in spite of the fact that their haplogroup was born about 50 CE.
  • The LeJeune sisters are related to, but not descended from many very interesting Ancient Connections. Using our Ancient Connections spreadsheet, we can rule out all but one Ancient Connection as being a direct ancestor of the LeJeune sisters, but they are all “haplocousins,” and share common ancestors with the sisters.
  • While we cannot rule out the genetically closest Ancient Connection, El Agujero 8, who lived about 1275 CE in the Canary Islands as their direct ancestor, it’s very unlikely. It’s more probable that they share a common ancestor in haplogroup U6a7a1 who lived about 3450 years ago, whose descendants spread both into France by the 1600s and the Canary Islands by the 1200s.

By now, you’re probably thinking to yourself that you know more about my ancestors than your own. The good news is that mitochodnrial DNA testing and mtDNA Discover is available for everyone – so you can learn as much or more about your own ancestors.

Spread Encouragement – Be a Positive Nellie!

Unfortunately, sometimes people are discouraged from mitochondrial DNA testing because they are told that mitochondrial haplogroups are “too old,” and matches “are too distant.” Remember that the MRCA of any two people, or groups of people is sometime between the haplogroup formation date, and the current generation – and that’s the information we seek for genealogy.

Furthermore, it’s those distant matches, beyond the reach of autosomal matching, that we need to break down many brick walls – especially for female ancstors. I offer testing scholarships for ancestors whose mitochondrial DNA is not yet represented. It’s information I can’t obtain any other way, and I’ve broken through many brick walls!

We don’t know what we don’t know, and we’ll never know unless we take the test.

Imagine how much could be gained and how many brick walls would fall if everyone who has tested their autosomal DNA would also take a mitochondrial DNA test.

Which ancestors mitochodrial DNA do you need? The best place to start is with your own, plus your father’s, which gives you both grandmother’s mtDNA and directly up those lines until you hit that brick wall that needs to fall.

Additional Resources

Roberta’s Books:

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The East Coast Genetic Genealogy Conference – ECGGC – Register Now for the Best of the Best

The East Coast Genetic Genealogy Conference, ECGGC, focuses entirely on genetic genealogy, an indispensable tool for all genealogists.

The 3-day conference with 32 speakers and 35 sessions takes place on September 12-14, and is open for registration now. Sessions are available for viewing through 2025, so if you miss something or have other plans, you can catch them later.

While I love in-person conferences, I also love virtual ones because they provide the opportunity to view presentations and see speakers’ sessions that I wouldn’t otherwise be able to attend.

ECGGC is virtual and streams live this year. Take a look at the 2025 program here and speakers, here.

Who is Speaking?

I’m looking forward to binge-watching every session. The speakers are all top-notch experts in their field. There is something for everyone here, no matter your experience level or focus!

Because it’s virtual, you don’t have to make choices between sessions.

Mitochondrial DNA 

I’m sure it won’t surprise anyone to learn that I’m speaking about mitochondrial DNA this year, given the release of Mitotree. Being a member of the Million Mito Project Team has been a dream come true.

Come learn about Mitotree: What It Is, How We Did It, and What It Means to You.

Not only is Mitotree groundbreaking, rewriting the tree of humankind, and a huge leap forward for matrilineal genealogy, it’s also an amazing scientific achievement. The team coupled Mitotree with mtDNA Discover to provide genealogists with a dozen custom reports – and now brick walls are falling.

The Mitotree Science Team and DNA Academy

After dinner on Saturday evening, ECGGC hosts DNA Academy, which, this year, focuses on Mitotree with Mitotree science team members. An ECGGC excluside,  Mitotree scientists assemble in a panel format, giving short presentations in their area of expertise and revealing the backstory of how Mitotree happened.

Hosted by Mags Gaulden, I’ll be there, along with Dr. Paul Maier, who will discuss how Mitotree was developed and constructed, and Dr. Miguel Vilar, who will discuss his focus on genetic anthropology and the development of the Mitotree.

Come share our joy and hear about our struggles, too. We have a fantastic team that loves to educate, and there will be plenty of time for Q&A.

I suppose it would appear biased were I to suggest that DNA Academy, alone, is well worth the conference registration fee😊

But Wait, There’s Even More

In addition to the speakers, ECGGC offers time for online socializing along with a virtual Exhibit Hall. I really encourage everyone to check out the vendors, because their exhibitor fees help fund the conference.

I’m excited and look forward to seeing all of you in September. Don’t forget to register here for either online attendance or viewing the sessions later.

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I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase your price but helps me keep the lights on and this informational blog free for everyone. Please click on the affiliate links in the articles or to the vendors below if you are purchasing products or DNA testing.

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East Coast Genetic Genealogy Conference, October 4-6, Virtual or In-Person

I hope you’ll join us for the East Coast Genetic Genealogy Conference at the Maritime Conference Center in Linthicum Heights, Maryland, just a shuttle ride from the Baltimore airport.

I just love conferences that specialize in genetic genealogy. The East Coast Genetic Genealogy Conference does precisely that, featuring 25 experts with a wide variety of expertise.

Take a look at the lineup, here and the sessions, here.

I can hardly wait!!!

You can register here to attend either virtually or in person, but hurry because the early bird discount is only in effect until September 15th.

My Presentations

I’m honored to present two sessions with Janine Cloud.

For those who don’t know, Janine is a registered member of the Cherokee Tribe and we both love talking about researching Native American heritage using DNA.

Janine manages the group projects for FamilyTreeDNA, so she is uniquely qualified to explain how they work and how you can make them work better for you.

One of the very cool new tools is the Group Time Tree. We’ll explain how to use the tree as a group administrator’s tool in addition to being a fantastic problem-solver for genealogists.

DNA Academy

Several years ago, a small group of genetic genealogists discussed creating a DNA Academy where experts offer advanced topics. Mags Gaulden will share more about that fateful discussion.

The manifestation of our dream will take place for the third time at the ECCGC on October 5th, from 6-8, virtually or in person, with five guest speakers.

Book Signing

Genealogical.com will have a booth at ECCGCs and will be selling both of my books, in addition to others.

I don’t have the book signing schedule yet, but it will be displayed in the booth.

Please come by and say hello.

Hope to see you at ECCGCs!

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DNA Academy Webinar Series Released

Great news! Legacy Family Tree Webinars has just released DNA Academy.

DNA Academy is a three-part series designed to introduce the basics of DNA for genetic genealogy and how Y-DNA, X-DNA, mitochondrial and autosomal DNA can be utilized. Each of these different types of DNA serves a different function for genealogists – and reveals different matches and hints for genealogy.

  1. DNA Academy Part 1 introduces genetic genealogy basics, then, Ancestry’s DNA tools – including their new pricing structure for DNA features. Click here to view.
  2. DNA Academy Part 2 covers FamilyTreeDNA’s products. Click here to view the webinar, which includes:
    1. Y-DNA for males which tracks the direct paternal line
    2. Mitochondrial DNA for everyone which tracks your direct maternal line – your mother’s mother’s mother’s lineage
    3. Autosomal DNA which includes matches from all of your ancestral lines and along with X-DNA matching, which has a very distinctive inheritance path.
  3. DNA Academy Part 3 includes MyHeritage, 23andMe, and third-party tools such as DNAPainter and Genetic Affairs. Click here to view.

Legacy Family Tree Webinars has graciously made Part 2, the FamilyTreeDNA class, free through August 22nd for everyone – so be sure to watch now.

After August 22nd, Part 2 will join Part 1 and Part 3 in the webinar library for subscribers with more than 2240 webinars for $49.95 per year.

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Great News – Both e-Pub and Print Version of “The Complete Guide to FamilyTreeDNA” Now Available Worldwide  

  • Anyone, anyplace, can order the full-color, searchable, e-pub version of The Complete Guide to FamilyTreeDNA – Y-DNA, Mitochondrial, Autosomal and X-DNA from the publisher, Genealogical.com, here.
  • Customers within the US can order the black and white print book from the publisher, here.
  • Customers outside the US can order the print book from their country’s Amazon website. The publisher does not ship print books outside the US due to customs, shipping costs, and associated delays. They arranged to have the book printed by an international printer so that it can be shipped directly to Amazon for order fulfillment without international customers incurring additional expenses and delays. If you ordered the book previously from Amazon and a long delivery time was projected, that should be resolved now and your book should be arriving soon.

Comprehensive

This book is truly comprehensive and includes:

  • 247 pages
  • More than 267 images
  • 288 footnotes
  • 12 charts
  • 68 tips
  • Plus, an 18-page glossary

To view the table of contents, click here. To order, click here.

Thank you, everyone, for your patience and your support.

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I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase your price but helps me keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

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Complete Guide to FamilyTreeDNA Released in Hardcopy

Just what many of you have been waiting for! The hardcopy print version of the Complete Guide to FamilyTreeDNA has just been released.

As shown in the table of contents below, The Complete Guide to FamilyTreeDNA contains lots of logically organized information! It includes basic education about genetic genealogy and how it works, instructions on using the FamilyTreeDNA tests and tools, plus an extensive glossary.

Enjoy!

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I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase your price but helps me keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

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Announcing: The Complete Guide to FamilyTreeDNA; Y-DNA, Mitochondrial, Autosomal and X-DNA

I’m so very pleased to announce the publication of my new book, The Complete Guide to FamilyTreeDNA – Y-DNA, Mitochondrial, Autosomal and X-DNA.

For the first time, the publisher, Genealogical.com, is making the full-color, searchable e-book version available before the hardcopy print version, here. The e-book version can be read using your favorite e-book reader such as Kindle or iBooks.

Update: The hardcopy version was released at the end of May and is available from the publisher in the US and from Amazon internationally.

This book is about more than how to use the FamilyTreeDNA products and interpreting their genealogical meaning, it’s also a primer on the four different types of DNA used for genealogy and how they work:

  • Autosomal DNA
  • Mitochondrial DNA
  • Y-DNA
  • X-DNA

There’s a LOT here, as shown by the table of contents, below

This book is chocked full of great information in one place. As an added bonus, the DNA glossary is 18 pages long.

I really hope you enjoy my new book, in whatever format you prefer.

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I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase your price but helps me keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

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Pedigree Collapse and DNA – Plus an Easy-Peasy Shortcut

Pedigree collapse can be responsible for you sharing more DNA than expected with another person.

What is pedigree collapse?

Pedigree collapse occurs when you descend from the same ancestor(s) through more than one path. In other words, you descend from those ancestors through two different children. Therefore, when matching with someone else who descends through those ancestors, you may share more DNA than would be expected from that level of relationship on the surface, meaning without pedigree collapse.

Endogamy is different and means that you descend from a community of ancestors who descend from the same group of ancestors. Often out-marriage is discouraged or otherwise impossible, so all of the group of people share common ancestors, which means they often match on segments without sharing close ancestors. Examples of descent from endogamous populations are Jewish, Amish, Brethren, Acadian, Native Hawaiian, Māori, and Native American people, among others.

I wrote about the difference between pedigree collapse and endogamy in the article, What’s the Difference Between Pedigree Collapse and Endogamy?

I’ve also written about endogamy in the following articles:

Degrees of Consanguinity

If you’re a genealogist, and especially if you’ve worked with Catholic church records, you’ve probably heard of “degrees of sanguinity,” which are prohibited blood relationships in marriage. For example, siblings are prohibited from marrying because they are too closely related, according to church doctrine.

By SVG remake by WClarke based on original by User:Sg647112c – Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=54804980

Today, we think of the genetic results of inbreeding, but originally, relationships (and consanguinity) also had to do with inheritance.

Essentially, marriages are prohibited by degree of sanguinity, and that degree is calculated based on this relationship chart. Prohibited degrees of consanguinity changed over time. Sometimes, a priest granted dispensation for a couple to wed who was of a prohibited degree of sanguinity. That’s a genealogy goldmine because it tells you where to look for common ancestors. It also tells you something else – that you may share more DNA with other descendants of that couple than one would otherwise expect.

More Than You Ever Expected

Recently, I’ve been working with an academic research team on a very interesting ancient DNA case that involves pedigree collapse. Doing the genealogy and genetic work on how much DNA was expected in a match without pedigree collapse, and how much was expected with pedigree collapse, was very interesting.

The team was working to confirm relationships between people in a cemetery. The burials shared more DNA than anticipated for who the people were believed to be. Enter pedigree collapse.

I can’t disclose the circumstances just yet – but I will as soon as possible. It’s an extremely interesting story.

We needed to ensure that readers, both academic and more generally understood pedigree collapse and our calculations. Why did burials share higher than expected DNA than indicated by the expected relationships? This puzzle becomes much more interesting when you add in pedigree collapse.

Academic researchers and scientists have access to models and mathematical algorithms that normal air-breathing humans don’t have easy access to.
So, what do you do if you and a match have a known pedigree collapse in your tree? How much DNA can you expect to share, and how do you calculate that?

These are all great questions, so let’s take a look.

I’m sharing the PowerPoint slides I prepared for our team on this topic. I’ve removed anything that would identify or even hint at the project and modified the slides slightly for easier consumption.

This presentation has never been given publicly, so you’re first! It seemed a waste to do this work and not share it!

Pedigree Collapse and DNA

Pedigree collapse occurs when you share an ancestor or ancestors through different pathways. In this case, the person at the bottom is the child of parents who were third cousins, but the father’s grandparents were also first cousins.

First cousin marriages were common in the not-too-distant past. Today, you could easily marry your third or fourth cousin and not even realize it unless someone in your family just happened to be a genealogist.

Genealogists use various tools to calculate the expected amount of shared DNA in relationships – first cousins, siblings, or half-siblings, for example. Both the Shared cM Project at DNAPainter and SegcM at DNA-Sci Tools provide tools.

Take a look at the article, DNA: In Search of…Full and Half-Siblings, for some great examples.

First cousins share common grandparents. Their child inherits DNA from two paths that lead back to the same ancestors. Some of that DNA will be the same, meaning the child will or can inherit the same ancestral segment from both parents, and some will be different segments from those ancestors that the parents do not share with each other.

Inheritance – How It Works

Let’s look at inheritance to see how this happens.

Let’s start with full and half-siblings.

Each child inherits half of their DNA from each parent, but not entirely the same half (unless they are identical twins.)

Therefore, full siblings will match on about 50% of their DNA, which is illustrated by the segments on the chromosome browser. However, and this will be important in a minute, about 25% of their DNA is exactly the same, when compared to each other, on the chromosome inherited from their father and mother at the same location.

On the chromosome browser, you can see that three siblings do match. One sibling (the grey background chromosomes) is the person both other full siblings are being compared to, in the example above.

What you can’t determine is whether they share the exact same DNA on both their mother and father’s Chromosome 1, where the matches overlap, for example. We know they both match their sibling, but the top person could match the sibling due to a match from their paternal chromosome in that location, and the bottom person could match due to their maternal chromosome. There’s no way to know, at least not from that view.

The areas where the siblings share exactly the same DNA on both their maternal and paternal chromosome, both, with each other are called Fully Identical REgions (FIR), as compared to Half Identical Regions (HIR) where the siblings match on either their maternal or paternal copy of the chromosome, but not both.

23andMe used to provide a tool that displayed both types of matches.

Since the data exposure incident at 23andMe, they no longer provide this lovely tool, and since that help page is now gone as well, I doubt this view will ever be returned. Fortunately, I grabbed a screenshot previously.

The dark purple segments are fully identical, meaning that these two full siblings match on both their maternal and paternal chromosomes in that location. The magenta are half identical, which means they match on EITHER the maternal or paternal chromosome in that location but not on both chromosomes. Of course, no color (light grey) means there is no match at that location.

Please note that because 23andMe counts fully identical regions (FIR) twice, their total matching cMs are elevated. The other companies do NOT count those regions twice.
GEDmatch also shows both full and half-identical regions as described more fully, here.

In this full-sibling example from GEDmatch, the green segments are fully identical regions across both the maternal and paternal chromosomes.

The definition of FIR is that two people match on both their mother’s and father’s DNA on the same chromosome. Therefore, in following generations, there technically should not be FIR matches, but in some instances we do find FIR matches outside of full siblings.

Moving down another generation, first cousins may share SOME fully identical DNA, especially if they are from an endogamous population or their mothers are related, but less, and it’s generally scattered.

Here’s my Mom’s GEDmatch comparison to her first cousin. The purple-legend segment shows a match, and the green within that match shows fully identical locations.

You can easily see that these are very scattered, probably representing “chance” or population-based fully identical matching locations within a segment. Comparatively, the green FIR segments for full siblings are dense and compact, indicating a segment that is fully identical.

Evaluating matches for dense FIR segments (known as runs of homozygosity – ROH) is a good indicator of parental relatedness.

Double Cousins

Of course, if these people were double first cousins, where the wives of the siblings were sisters to each other – the first cousins would have large patches of dense green FIR segments.

First cousins share grandparents.

Double first cousins occur when two people share both sets of grandparents, meaning that brothers marry sisters. Normal first cousins share about 12.5% of their DNA, but double first cousins share about 25% of their DNA.

In this case, Sharon and Donna descend from two brothers, James and Henry, who were sons of Joseph and Jane. In this scenario, James and Henry married unrelated women, so Sharon and Donna are first cousins to each other.

Double first cousins share both sets of grandparents so they would inherit FIR from both sets of siblings.

You need to be aware of this, but for now, let’s stick with non-double relationships. You’re welcome!

DNA Inheritance

Here’s a different example of DNA inheritance between two siblings.

  1. You can see that in the first 50 cM segment, both siblings inherited the same DNA from both parents, so they match on both their mother’s and father’s chromosomes. They match on both the 50 cM green and 50 cM pink segments. 23andMe would count that as 100 cMs, but other vendors only count a segment IF it matches, NOT if it matches twice. So, other vendors count this as a 50 cM match.
  2. In column two, these two people don’t match at all because they inherited different DNA from each parent. In this example, Person 1 inherited their maternal grandmother’s segment, and Person 2 inherited their maternal grandfather’s segment.
  3. In column three, our siblings match on their paternal grandmother’s segment.
  4. In column four, no match again.

How much can we expect to inherit at different levels – on average?

Different tools differ slightly, and all tools provide ranges. In our example, I’ve labeled the generations and how much shared DNA we would expect – WITHOUT pedigree collapse.

Ancestral couple Inherited cM Inherited %
Gen 1 – Their children 3500 cM 50
Gen 2 – Grandchildren 1750 cM 25
Gen 3 – Great-Grandchildren 875 cM 12.5
Gen 4 – GG-Grandchildren 437.5 6.25
Gen 5 – GGG-Grandchildren 218.75 3.125
Gen 6 – GGGG-Grandchildren 109.375 1.5625
Gen 7 – GGGG-Grandchildren 54.6875 .078125

Please note that this is inherited DNA, not shared (matching) DNA with another person.

Adding in pedigree collapse, you can see that we have three Gen 1 people involved, three Gen 2 descendants, and two Gen 3 and Gen 4 people.

Each of those people inherit and pass on segments from our original couple at the top.
We have three distinct inheritance paths leading from our original couple to Gen 5.
We have a first cousin marriage at Gen 2, at left, which means that their child, Gen 3, will have an elevated amount of the DNA of their common ancestors.

In Gen 4, two people marry who both descend from a common couple, meaning their child, Gen 5, descends from that couple in three different ways.

Did your eyes just glaze over? Well, mine did, too, which is why I had to draw all of this out on paper before putting it into PowerPoint.

The Gen 5 child inherits DNA from the ancestral couple via three pathways.
The next thing to keep in mind is that just because you inherit the DNA from an ancestor does not mean you match another descendant. Inheritance is not matching.

You must inherit before you can match, but just because you and someone else have inherited a DNA segment from a common ancestor does not guarantee a match. Those segments could be in different locations.

Categories of DNA

When dealing with inheritance and descent, we discuss four categories of DNA.

  • In the first generation, full siblings will, in about 25% of their locations, share the same DNA that has been inherited from both parents on the same chromosome. In other words, they match each other both maternally and paternally at that location. Those are FIR.
  • The DNA you inherit from an ancestor.
  • The DNA that both you and your cousin(s) inherit from a common ancestor and match on the same location. This is shared DNA.
  • The DNA that both you and your cousin(s) inherit from a common ancestor, but it’s not in the same location, so you do not match each other on that segment. Just because you inherit DNA from that ancestor does not necessarily mean that your cousin has the same DNA from that ancestor. This is inherited but not shared.

Inheritance is Not The Same as Matching

Inheritance is not the same thing as matching.

Inheriting our ancestor’s DNA isn’t enough. We need to match someone else who inherited that same segment in order to attribute the segment to that specific ancestor.

Depending on how close or distant the relationship, two people may share a lot of DNA (like full siblings), or one segment in more distant matches, or sometimes none at all. As we reach further back in time, we inherit less and less of our increasingly distant ancestors’ DNA, which means we match increasingly fewer of their descendants. I wrote about determining ancestral percentages in the article,  Ancestral Percentages – How Much of Them is in You?

Based on how much DNA we share with other known relatives, we can estimate relationships.

Pedigree collapse, where one descends from common ancestors more than once, increases the expected amount of inherited DNA, which in turn increases the probability of a shared match with other descendants.

Ancestral Couple Matching Between Shared DNA ~cM Shared DNA ~% Range (Shared cM Project) FIR – Identical DNA
Generation 1 Full Siblings 2600 50 1613-3488 25%
Generation 2 First Cousins 866 12.5 396-1397 0
Generation 3 Second Cousins 229 3.125 41-592 0
Generation 4 Third Cousins 73 0.78125 0-234 0

Here’s an example through third cousins, including expected FIR, fully identical regions where full siblings match each other on both their maternal and paternal chromosomes in the same location.

I provided a larger summary chart incorporating the information from public sources, here, minus FIR.

Of course, double cousins, where two pairs of siblings marry each other, represent another separate level of complexity. DNA-Sci’s Double Cousin Orogen explains this here and also provides a tool.

Double cousins, meaning when two pairs of siblings marry each other, are different from doubly related.

Doubly related means that two people descend from common ancestors through multiple paths, meaning multiple lines of descent. Doubly related is pedigree collapse. Double cousins is pedigree collapse on steroids.

Pedigree Collapse, aka Doubly Related

Calculating expected inherited DNA from multiple lines of descent is a bit more challenging.

A handy-dandy chart isn’t going to help with multiple relationships because the amount of expected shared DNA is based on the number of and distance of relationships.

Please note that this discussion excludes X-DNA matching which has its own inheritance path.

It’s time for math – but I promise I’ll make this relatively easy – pardon the pun.

What’s Behind the Math?

So, here’s the deal. I want you to understand why and how this works. You may not need this information today, but eventually, you probably will. This is one of those “refer back to it” articles for your personal library. Read this once as a conceptual overview, then read it again if you need to work through the relationships.

This is easy if you take it one step at a time.

First, we calculate each path separately.

In the first generation, full siblings inherit identical (FIR) DNA on both their mother’s and father’s chromosomes.

In the second generation, the male inherits the maternal segment, and the female inherits the paternal segment.

In the third generation, their child inherits those segments intact from both of their parents. The child inherits from the ancestral couple twice – once through each parent.

In generation 1, those two segments were FIR, fully identical regions. Both of those men married unrelated wives. When their children, Gen 2, were born, they had either the maternal or paternal segment from their father because they had an entirely different segment in that location from their mother.

However, the child in Gen 3 inherited the original green segment from their father and the original pink segment from their mother – reuniting those FIR segments in later generations.

First Cousin’s Child

Let’s calculate the inheritance for the child of those two first cousins who married.

Ancestral couple Inherited cM Inherited %
Gen 3 – Great-Grandchildren 875 cM 12.5
Gen 3 – Great-Grandchildren 875 cM 12.5
Total 1750 cM 25

Normally, a Gen 3 person inherits roughly 875 cM, or 12.5% of their great-grandparent’s DNA. However, since their grandparents were first cousins, they inherit about twice that amount, or 1750 cM.

While a Gen 3 person inherits as much as a grandchild (25%) normally would from the original couple, they won’t match on all of that DNA. When matching, we need to subtract some of that DNA out of the equation for two reasons:

  • In the first generation, between siblings, some of their DNA was fully identical and cannot be identified as such.
  • In the second generation, they will each have some parts of the ancestral couple’s DNA that will not match the other person. So, they inherit the same amounts from their common ancestors, but they can only be expected to match on about 25% of that amount two generations later.

However, the child of first cousins who marry inherits more DNA of the common ancestors than they would if their parents weren’t related. It’s just that some of that DNA is the same, potentially on the maternal and paternal chromosomes again, and some won’t match at all.

While matching DNA is the whole point of autosomal DNA testing, fully identical DNA matching regions (FIR) cannot be identified that way. For the most part, other than identifying full and half-siblings, sometimes pedigree collapse, and parent-relatedness, fully identical DNA isn’t terribly useful for genealogy. However, we still need to understand how this works.

It’s OK if you just want to say, “I know we’ll share more DNA due to pedigree collapse,” but if you want to know how much more to expect, keep reading. I’d really like for you to understand use cases and be able to track those segments.

Remember, we will learn a super-easy shortcut at the end, so for now, just read. It’s important to understand why the shortcut works.

Sibling Inheritance Versus Matching

In order to compare apples to apples, sometimes we need to remove some portion of DNA in our calculations.

Remember story problems where you had to “show your work”?

Calculating Expected DNA

Here’s the step-by-step logic.

Ancestral couple Inherited Non-Identical cM Inherited %
Gen 1 first son 3500 50
Gen 1 second son 3500 50
Less identical segments (FIR) -1750 (subtracted from one child for illustration) 25
Gen 2 son 1750 25
Gen 2 daughter married Gen 2 son 875 12.5
Gen 3 – Their child path through Gen 2 son 875 cM 12.5
Gen 3 – Their child path through Gen 2 mother 437.5 cM 6.25
Their child total without removing identical segments 1750 cM 25
Their child total after removing identical segments 1312.5 18.75

Category cMs Most Probable Degree Relationship
No Pedigree Collapse 875 98% Great grandparent or great-grandchild, great or half aunt/uncle, great or half niece/nephew, 1C 3
Pedigree Collapse without identical segment removal 1750 100% Grandparent, grandchild, aunt/uncle, half-sibling, niece/nephew 2
Pedigree Collapse after identical segment removal 1312.5 56% grandparent, grandchild, aunt/uncle, niece/nephew, half-sibling 2

Just because you HAVE this much shared (and/or identical) DNA doesn’t mean you’ll match on that DNA.

Next, let’s look at Gen 5 child who inherited three ways from the ancestors.

If you think, “This will never happen,” remember that it did, which is why I was working through this story problem. It’s not uncommon for families to live in the same area for generations. You married who you saw – generally, your family and neighbors, who were likely also family.

Let’s take a look at that 5th generation child.

The more distantly related, the less pedigree collapse affects matching DNA. That’s not to say we can ignore it.

Here’s our work product. See, this isn’t difficult when you take it step by step, one at a time.

Ancestral couple Inherited Non-Identical cM Inherited %
Gen 3 Child total after removing identical segments 1312.5 18.75
Gen 4 father – half of Gen 3 father 656.25 9.375
Gen 5 child – half of Gen 4 father 328.125 4.6875
Gen 5 child – mother’s side calculated from ancestral couple normally 218.75 3.125
Total for Gen 5 Child 546.875 7.8125

Inheritance Ranges

Lots of factors can affect how much DNA a person in any given generation inherits from an ancestor. The same is true with multiple paths from that same ancestor. How do we calculate multiple path inheritance ranges?

As with any relationship, we find a range, or combined set of ranges for Gen 5 Child based on the multiple pathways back to the common ancestors.

Gen 5 Child Inherited Non-Identical cM Inherited %
Without removing either paternal or maternal identical cMs 656.25 9.375
After removing paternal identical cMs only 546.875 7.8125

 

After removing maternal cMs only 546.875 7.8125

 

After removing both paternal and maternal identical cMs 362.50 6.25
Normal Gen 5 no pedigree collapse 218 3.125

What About Matching?

Inheritance and matching are different. Most of the time, two people are unlikely to share all of the DNA they inherited from a particular ancestor. Of course, inheriting through multiple paths increases the likelihood that at least some DNA from that ancestor is preserved and that it’s shared with other descendants.

Two people aren’t expected to match on all of the segments of DNA that they inherit from a particular ancestor. The closer in time the relationship, the more segments they will inherit from that ancestor, which increases the chances of matching on at least one or some segments.

Clearly, pedigree collapse affects matching. It’s most pronounced in closer relationships, but it may also be the only thing that has preserved that ONE matching segment in a more distant relationship.

So, how does pedigree collapse actually affect the likelihood of matching? What can we actually expect to see? Is there a name for this and a mathematical model to assist with calculations?

I’m so glad you asked! It’s called Coefficient of Relationship.

Coefficent of Relationship

My colleague, Diahan Southard, a scientist who writes at YourDNAGuide has authored two wonderful articles about calculating the statistical effects of pedigree collapse.

You can also read another article about the methodology of calculating coefficient of relationship, here, on WaybackMachine.

Diahan is a math whiz. I’m not, so I needed to devise something “quick and dirty” for my own personal use. I promised you a “cheat sheet,” so here’s the methodology.

Two Inheritance Paths – First and Third Cousins

Let’s look at an example where two people are both first cousins and third cousins because their grandparents were also first cousins.

Let’s calculate how these two people are related. They are first cousins and also third cousins.

When calculating the effects of pedigree collapse, we calculate the first relationship normally, then calculate the second relationship and add a portion of the result.

Here’s the math.

Using the Shared cM Project for the expected amount of shared DNA for both relationships, we’ve calculated the expected range for this pedigree collapse relationship.

Tying this back to degrees of relatedness.

Let’s look at ways to do Quick Calculations using the publicly available Shared cM charts and my composite tables, here.

Using Average Shared DNA

This first methodology uses average expected amount of shared, meaning matching, DNA. Please note, I’m not necessarily expecting you to DO this now, just read to follow.

Using Average Inherited DNA

Here’s a second method using average inherited DNA, meaning people wouldn’t be expected to match on all of the inherited DNA – just a portion.

You can’t always use the shared cM charts because all relationships aren’t represented, so you may need to use the amount of expected inherited DNA instead of shared DNA amounts.

Methodology Differences

Remember, none of these methodologies are foolproof because DNA inheritance is random. You may also have additional relationships that you’re aware of.

So, what’s the easiest method? Neither, actually. I’ve found an even easier method based on these proven methodologies.

Easy-Peasy Pedigree Collapse Shortcut Range Calculation in 4 Steps

Now that you understand the science and reasoning behind all of this, you can choose from multiple calculation methodologies after drawing a picture of the relevant tree.

You’re probably wondering, “What’s the easiest way to do this?”

  • These quick calculation methods are the easiest to work with for non-scientists and non-math whizzes. These are the calculations I use because, taking into account random recombination, you can’t do any better than get close.
  • Also, remember, if you’re dealing with double relationships, meaning double first cousins, you’ll need to take that into consideration, too.
  • If endogamy is involved, your matches will be higher yet, and you should use the highest calculations below because you need to be on the highest end of the range – and that may still not be high enough.

In these Easy-Peasy calculations, you calculate for the lowest, then the highest, and that’s your range. Please note that these are options, and truly, one size does not fit all.

  1. For the lowest end of the range, simply use the average of the highest relationship. In this case, that would be 1C, which is 866 cM. Remember that you may not share DNA with third cousins. 10% of third cousins don’t share any DNA, and 50% of fourth cousins don’t.
  2. For the highest end of the range, find the second relationship in the Shared cM chart, divide the average by half, and add to the value from the closest relationship. In this case, half of the 3C value of 76 is 38.
  3. Add 38 to 866 for the highest end of the range of 904.
  4. If there’s yet another path to ANY shared ancestor, add half that amount too to calculate the high end of the range – unless it’s 4C or more distant, then don’t add anything.

You can see that this easy-peasy range calculation for pedigree collapse compares very well to the more complex but still easy calculations.

  • Easy-peasy calculation: 866-904
  • Other calculation methods: 850-903
  • For this same relationship combination, Diahan’s statistical calculation was 850 cM.

Back to Genealogy

What’s the short story about how pedigree collapse affects genealogy?

Essentially, in close generations, meaning within a few generations of two first cousins marrying, descendants can expect to inherit and share significantly more DNA of the common ancestors, but not double the amount. As we move further away from those marriages in time, the effect becomes less pronounced and more difficult to detect. You can see that effect when calculating multiple paths where at the fourth cousin level, or more distant, those cousins have a 50% or greater possibility of not sharing DNA segments.

Of course, with multiple paths to the same ancestor, your chances of inheriting at least some segments from the common ancestor are increased because their DNA descends through multiple paths.

Today, close marriages are much less common and have been for several generations in many cultures, so we see fewer instances where pedigree collapse makes a significant difference.

Within a population or group of people, if pedigree collapse becomes common, meaning that there are multiple paths leading back to common ancestors, like our three-path example, DNA segments from the common ancestors are found among many people. Significant pedigree collapse becomes endogamy, especially if marriage outside of the group is difficult, impossible, or discouraged.

Normally, pedigree collapse is not recorded in actual records. It’s left to genealogists to discover those connections.

The exception, of course, is those wonderful Catholic parish records where the priest granted dispensations. Sometimes, that’s our only hint to earlier genealogy. In the case of the marriage of Marie-Josesphe LePrince to Jacques Forest, the priest wrote “dispense 3-3 consanguinity,” which tells us that they shared great-grandparents. It also tells us that their grandparents were siblings, that the bride and groom were second cousins, and that their children and descendants inherited an extra dose of DNA from their common great-grandparents.

How does that affect me today? Given that I’m their seventh-generation descendant – probably not at all. Of course, they are Acadian, and the Acadians are highly endogamous, which means I match many Acadians because all Acadians share the DNA of just a few founders, making it almost impossible to track segments to any particular ancestor. If it weren’t for endogamy, I would probably match few, if any, of their descendants.

Now, when you see those Catholic church dispensations or otherwise discover pedigree collapse, you can be really excited, because you understand the effects of pedigree collapse and how to calculate resulting matches! You might, just might, have retained a DNA segment from those ancestors because you inherited segments through multiple paths – increasing the probability that one survived.

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