Category Archives: Relationship Calculator

DNA: In Search Of…Your Grandparents

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Are you searching for an unknown relative or trying to unravel and understand unexpected results? Maybe you discovered that one or both of your parents is not your biological parent. Maybe one of your siblings might be a half-sibling instead. Or maybe you suddenly have an unexpected match that looks to be an unknown close relative, possibly a half-sibling. Perhaps there’s a close match you can’t place.

Or, are you searching for the identity of your grandparent or grandparents? If you’re searching for your parent or parents, often identifying your grandparents is a necessary step to narrow the parent-candidates.

I’ve written an entire series of “In Search of Unknown Family” articles, permanently listed together, here. They will step you through the search process and help you understand how to unravel your results. If you’re new, reading these, in order, before proceeding, would be a good idea.

Identifying a Grandparent

I saved this “grandparents” article for later in the series because you will need the tools and techniques I’ve introduced in the earlier articles. Identifying grandparents is often the most challenging of any of the relationships we’ve covered so far. In part because each of those four individuals occupies a different place in your tree, meaning their X, Y-DNA and mitochondrial DNA is carried by different, and not all, descendants. This means we sometimes have to utilize different tools and techniques.

If you’re trying to identify any of your four grandparents, females are sometimes more challenging than males.

Why?

Women don’t have a Y chromosome to test. This can be a double handicap. Female testers can’t test a Y chromosome, and maternal ancestors don’t have a Y chromosome to match.

Of course, every circumstance differs. You may not have a male to test for paternal lines either.

The maternal grandfather can be uniquely challenging, because two types of DNA, Y-DNA and mitochondrial DNA matching are immediately eliminated for all testers.

While I’ve focused on the maternal grandfather in this example, these techniques can be utilized for all four grandparents as well as for parents. At the end, I’ll review other grandparent relationships and additional tools you might be able to utilize for each one.

In addition to autosomal DNA, we can also utilize mitochondrial DNA, Y-DNA and sometimes X DNA in certain situations.

Testing, Tests and Vendors

As you recall, only men have a Y chromosome (blue arrow), so only genetic males can take a Y-DNA test. Men pass their Y chromosome from father to son in each generation. Daughters don’t receive a Y chromosome.

Everyone has their mother’s mitochondrial DNA (pink arrow.) Women pass their mitochondrial DNA to both sexes of their children, but only females pass it on. In the current generation, represented by the son and daughter, above, the mother’s yellow heart-shaped mitochondrial DNA is inherited by both sexes of her children. In the current generation, males and females can both test for their mother’s mitochondrial DNA.

Of course, everyone has autosomal DNA, inherited from all of their ancestral lines through at least the 5th or 6th generation, and often further back in time. Autosomal DNA is divided in half in each generation, as children inherit half of each parents’ autosomal DNA (with the exception of the X chromosome, which males only inherit from their mother.)

The four major vendors, Ancestry, 23andMe, FamilyTreeDNA and MyHeritage sell autosomal DNA tests, but only FamilyTreeDNA sells Y-DNA and mitochondrial DNA tests.

Only 23andMe and FamilyTreeDNA report X matching.

All vendors except Ancestry provide segment location information along with a chromosome browser.

You can read about the vendor’s strengths and weaknesses in the third article, here.

Ordering Y and Mitochondrial DNA Tests

If you’re seeking the identities of grandparents, the children and parents, above, can test for the following types of DNA in addition to autosomal:

Person in Pedigree Y-DNA Mitochondrial
Son His father’s blue star His mother’s pink heart
Daughter None Her mother’s pink heart
Father His father’s blue star His mother’s gold heart
Mother None Her mother’s pink heart

Note that none of the people shown above in the direct pedigree line carry the Y-DNA of the green maternal grandfather. However, if the mother has a full sibling, the green “Male Child,” he will carry the Y-DNA of the maternal grandfather. Just be sure the mother and her brother are full siblings, because otherwise, the brother’s Y-DNA may not have been inherited from your mother’s father. I wrote about full vs half sibling determination, here.

Let’s view this from a slightly different perspective. For each grandparent in the tree, which of the two testers, son or daughter, if either, carry that ancestor’s DNA of the types listed in the columns.

Ancestor in Tree Y-DNA Mitochondrial DNA Autosomal DNA X DNA
Paternal Grandfather Son Neither Son, daughter Neither
Paternal Grandmother Has no Y chromosome None (father has it, doesn’t pass it on to son or daughter) Son, daughter Daughter (son does not receive father’s X chromosome)
Maternal Grandfather Neither Neither Son, daughter Son, daughter (potentially)
Maternal Grandmother Has no Y chromosome Son, daughter Son, daughter Son, daughter (potentially)

Obtaining the Y-DNA and mitochondrial DNA of those grandparents from their descendants will provide hints and may be instrumental in identifying the grandparent.

FamilyTreeDNA

You’ll need to order Y-DNA (males only) and mitochondrial DNA tests separately from autosomal DNA tests. They are three completely different tests.

At FamilyTreeDNA, the autosomal DNA test is called Family Finder to differentiate it from their Y-DNA and mitochondrial DNA tests.

Their autosomal test is called Family Finder whether you order a test from FamilyTreeDNA, or upload your results to their site from another vendor (instructions here.)

I recommend ordering the Big Y-700 Y-DNA test if possible, and if not, the highest resolution Y-DNA test you can afford. The Big Y-700 is the most refined Y-DNA test available, includes multiple tools and places Big Y-700 testers on the Time Tree through the Discover tool, providing relatively precise estimates of when those men shared a common ancestor. If you’ve already purchased a lower-precision Y-DNA test at FamilyTreeDNA, you can easily upgrade.

I wrote about using the Discover tool here. The recently added Group Time Tree draws a genetic Y-DNA tree of Big-Y testers in common projects, showing earliest known ancestors and the date of the most recent common ancestor.

You need to make sure your Family Finder, mitochondrial DNA and Y-DNA (if you’re a male) tests are ordered from the same account at FamilyTreeDNA.

You want all 3 of your tests on the same account (called a kit number) so that you can use the advanced search features that display people who match you on combinations of multiple kinds of tests. For example, if you’re a male, do your Y-DNA matches also match you on the autosomal Family Finder test, and if so, how closely? Advanced matching also provides X matching tools.

X DNA is included in autosomal tests. X DNA has a distinct matching pattern for males and females which makes it uniquely useful for genealogy. I wrote about X DNA matching here.

If you upload your autosomal results to FamilyTreeDNA from another company, you’re only uploading a raw DNA file, not the DNA itself, so FamilyTreeDNA will need to send you a swab kit to test your Y-DNA and mitochondrial DNA. If you upload your autosomal DNA, simply sign in to your kit, purchase the Y-DNA and/or mitochondrial DNA tests and they will send you a swab kit.

If you test directly at FamilyTreeDNA, you can add any test easily by simply signing in and placing an order. They will use your archived DNA from your swab sample, as long as there’s enough left and it’s of sufficient quality.

Fish In All Ponds

The first important thing to do in your grandparent search is to be sure you’re fishing in all ponds. In other words, be sure you’ve tested at all 4 vendors, or uploaded files to FamilyTreeDNA and MyHeritage.

When you upload files to those vendors, be sure to purchase the unlock for their advanced tools, because you’re going to utilize everything possible.

If you have relatively close matches at other vendors, ask if they will upload their files too. The upload is free. Not only will they receive additional matches, and another set of ethnicity results, their results will help you by associating your matches with specific sides of your family.

Why Order Multiple Tests Now Instead of Waiting?

I encourage testers to order their tests at the beginning of their journey, not one at a time. Each new test from a vendor takes about 6-8 weeks from the time you initially order – they send the test, you swab or spit, return it, and they process your DNA. Of course, uploading takes far less time.

If you’re adding elapsed time, two autosomal tests (Ancestry and 23andMe), two uploads (FamilyTreeDNA and MyHeritage,) a Y-DNA and a mitochondrial DNA test, if all purchased serially, one after the other, means you’ll be waiting about 6-8 months.

Do you want to wait 6-8 months? Can you afford to?

Part of that answer has to do with what, exactly, you’re seeking.

A Name or Information?

Are you seeking the name of a person, or are you seeking information about that person? With grandparents, you may be hoping to meet them, and time may be of the essence. Time delayed may not be able to be recovered or regained.

Most people don’t just want to put a name to the person they are seeking – they want to learn about them. You will have different matches at each company. Even after you identify the person you seek, the people you match at each company may have information about them, their photos, know about their life, family, and their ancestors. They may be able and willing to facilitate an introduction if that’s what you seek.

One cousin that I assisted discovered that his father had died just 6 weeks before he made the connection. He was heartsick.

Having data from all vendors simultaneously will allow you to compile that data and work with it together as well as separately. Using your “best” matches at each company, augmented by both Y-DNA and mitochondrial DNA can make MUCH shorter work of this search.

Your Y-DNA, if you’re a male will give you insights into your surname line, and the Big-Y test now comes with estimates of how far in the past you share a common ancestor with other men that have taken the Big-Y test. This can be a HUGE boon to a male trying to figure out his surname line.

Y-DNA and mitochondrial DNA, respectively, will eliminate many people from being your mother or father, or your direct paternal or direct maternal line ancestor. Both provide insights into which population and where that population originated as well. In other words, it provides you lineage-specific information not available elsewhere.

Your Y-DNA and mitochondrial DNA can also provide critically important information about whether that direct line ancestor belonged to an endogamous population, and where they came from.

Strategies

You may be tempted to think that you only need to test at one vendor, or at the vendor with the largest database, but that’s not necessarily true.

Here’s a table of my closest matches at the 4 vendors.

Vendor Closest Maternal Closest Paternal Comments
Ancestry 1C, 1C1R Half 1C, 2C I recognized both of the maternal and neither of the paternal.
23andMe 2C, 2C 1C1R, half-gr-niece Recognized both maternal, one paternal
MyHeritage Mother uploaded, 1C Half-niece, half 1C Recognized both maternal, one paternal
FamilyTreeDNA Mother tested, 1C1R Parent/child, half-gr-niece Recognized all 4

To be clear, I tested my mother at FamilyTreeDNA before she passed away, but if I was an adoptee searching for my mother, that’s the first database she would be in. As her family, we were able to order the Family Finder test from her archived DNA after she had passed away. I then uploaded her DNA file to MyHeritage, but she’ll never be at either 23andMe or Ancestry because they don’t accept uploads and she clearly can’t test.

Additionally, being able to identify maternal matches by viewing shared matches with my mother separates out close matches from my paternal side.

Let’s put this another way, I stand a MUCH BETTER chance of unraveling this mystery with the combined closest matches of all 4 databases instead of the top ones from just one database.

I’m providing analysis methodologies for working with results from all of the vendors together, in case your answer is not immediately obvious. Taking multiple tests facilitates using all of these tools immediately, not months later. Solving the puzzle sooner means you may not miss valuable connection opportunities.

You may also discover that the door slams shut with some people, but another match may be unbelievably helpful. Don’t unnecessarily limit your possibilities.

Here’s the testing and upload strategy I recommend.

What When Ancestry 23andMe MyHeritage FamilyTreeDNA GEDmatch
Order autosomal test Initially Yes Yes Upload Upload Upload
Order Big-Y DNA test if male Initially Yes
Order mitochondrial DNA test Initially Yes
Upload free autosomal file From Ancestry or 23andMe Yes Yes Yes
Unlock Advanced Tools When upload file $29 $19 $9.95 month
Includes X Matching No Yes No Yes Yes
Chromosome Browser, segment location information No Yes Yes Yes Yes

When you upload a DNA file to a vendor site, only upload one file per site, per tester. Otherwise, multiple tests simply glom up everyone’s match list with multiple matches to the same person and can be very confusing.

  • One person took an autosomal test at a company that accepts uploads, forgot about it, uploaded a file from another vendor later, and immediately thought she had found her parent. She had not. She “found” herself.
  • Another person though she had found two sisters, but one person had uploaded their own file from two different vendors.

Multiple vendor sites reveal multiple close matches to different people which increase your opportunity to discover INFORMATION about your family, not just the identity of the person.

Match Ranges

Given that we are searching for an unknown maternal grandfather, your mother may not have had any (known) full siblings. The “best” match would be to a full or half siblings to your parents, or their descendants, depending on how old your grandparents would be.

Let’s take the “worst case” scenario, meaning there are no full siblings AND there are many possible generations between you and the people you may match.

Now, let’s look at DNAPainter’s Shared cM tool.

You’re going to be looking for someone who is either your mother’s half sibling on her father’s side, or who is a full sibling.

If your mother is adopted, it’s possible that she has or had full siblings. If your mother was born circa 1920, it’s likely that you will be matching the next generation, or two, or three.

However, if your mother was born later, you could be matching her siblings directly.

I’m going to assume half siblings for this example, because they are more difficult than full siblings.

Full sibling relationships for your mother’s siblings are listed at right. Your full aunt or uncle at top, then their descendant generations below.

At left, in red, are the half-sibling relationships and the matching amounts.

You can see that if you’re dealing with half 1C3R (half first cousin three times removed,) you may not match.

Therefore, in order to isolate matches, it’s imperative to test every relevant relative possible.

Who’s Relevant for DNA Testing?

Who is relevant to test If you’re attempting to identify your maternal grandfather?

The goal is to be able to assign matches to the most refined ancestor possible. In other words, if you can assign someone to either your grandmother’s line, or your grandfather’s line, that’s better than assigning the person to your grandparents jointly.

Always utilize the tests of the people furthest up the tree, meaning the oldest generations. Their DNA is less-diluted, meaning it has been divided fewer times. Think about who is living and might be willing to test.

You need to be able to divide your matches between your parents, and then between your grandparents on your mother’s side.

  • Test your parents, of course, and any of their known siblings, half or full.
  • If those siblings have passed away, test as many of their children as you can.
  • If any of your grandparents are living, test them
  • If BOTH of your grandparents on the same side aren’t available to test, test any, preferably all, living aunts or uncles.
  • If your maternal grandmother had siblings, test them or their descendants if they are deceased.
  • If your parents are deceased, test your aunts, uncles, full siblings and half-siblings on your mother’s side. (Personally, I’d test all half-siblings, not just maternal.)
  • Half-siblings are particularly valuable because there is no question which “side” your shared DNA came from. They will match people you don’t because they received part of your parent’s DNA that you did not.

Furthermore, shared matches to half-siblings unquestionably identify which parent those matches are through.

Essentially, you’re trying to account for all matches that can be assigned to your grandparents whose identities you know – leaving only people who descend from your unknown maternal grandfather.

Testing your own descendants will not aid your quest. There is no need to test them for this purpose, given that they received half of your DNA.

I wrote about why testing close relatives is important in the article Superpower: Your Aunts’ and Uncles’ DNA is Your DNA Too – Maximize Those Matches!

Create or Upload a Tree

Three of the four major vendors, plus GEDMatch, support and utilize family trees.

You’ll want to either upload or create a tree at each of the vendor sites.

You can either upload a GEDCOM file from your home computer genealogy software, or you can create a tree at one of the vendors, download it, and upload to the others. I described that process at Ancestry, here.

Goal

Your goal is to work with your highest matches first to determine how they are related to you, thereby eliminating matches to known lineages.

Assuming you’re only searching for the identity of one grandparent, it’s beneficial to have done enough of your genealogy on your three known grandparents to be able to assign matches from those lines to those sides.

Step 1 is to check each vendor for close matches that might fall into that category.

The Top 15 at Each Vendor

Your closest several autosomal matches are the most important and insightful. I begin with the top 15 autosomal results at each vendor, initially, which provides me with the best chance of meaningful close relationship discoveries.

Create a Spreadsheet or Chart

I hate to use that S word (spreadsheet), because I don’t want non-technical people to be discouraged. So, I’m going to show you how I set up a spreadsheet and you can simply create a chart or even draw this out on paper if you wish.

I’ve color-coded columns for each of my 4 grandparents. The green column is the target Maternal Grandfather whose identity I’m seeking.

I match our first example; Erik, at 417 cM. Based on various pieces of information, taken together, I’ve determined that I’m Erik’s half 1C1R. His 8 great-grandparent surnames, or the ones he has provided, indicate that I’m related to Eric on my paternal grandfather’s line.

You’ll want to record your closest matches in this fashion.

Let’s look at how to find this information and work with the tools at the individual vendors.

23andMe

Let’s start at 23andMe, because they create a potential genetic tree for you, which may or may not be accurate.

I have two separate tests at 23andMe. One is a V3 and one is a V4 test. I keep one in its pristine state, and I work with the second one. You’ll see two of “me” in the tree, and that’s why.

23andMe makes it easy to see estimated relationships, although they are not always correct. Generally, they are close, and they can be quite valuable.

Click on any image to enlarge

The maternal and paternal “sides” may not be positioned where genealogists are used to seeing them. Remember, 23andMe has no genealogy trees, so they are attempting to construct a genetic tree based on how people are related to you and to each other, with no prior knowledge. They do sometimes have issues with half-relationships, so I’d encourage you to use this tree to isolate people to the three grandparents you know.

In my case, I was able to determine the maternal and paternal sides easily based on known cousins. This is the perfect example of why it’s important to test known relatives from both sides of your family.

My paternal side, at right, in blue, was easy because I recognized my half-sister’s family, and because of known cousins who I recognized from having tested elsewhere. I’ve worked with them for years. The blue stars show people I could identify, mostly second cousins.

My maternal side is at left, in red. Normally, for genealogists, the maternal side is at right, and the paternal at left, so don’t make assumptions, and don’t let this positioning throw you.

I’m pretending I don’t know who my maternal grandfather is. I was able to identify my maternal grandmother’s side based on a known second cousin.

That leaves my target – my maternal grandfather’s line.

All of the matches to the left of the red circle would, by process of elimination, be on my maternal grandfather’s side.

The next step would be to figure out how the 5 people descending from my maternal grandfather’s line are related to each other – through which of their ancestors.

On the DNA Relatives match list, here’s what needs to be checked:

  • Do your matches share surnames with you or your ancestors?
  • Do they show surnames in common with each other?
  • Is there a common location?
  • Birth year which helps you understand their potential generation.
  • Did they list their grandparents’ birthplaces?
  • Did they provide a family tree link?
  • Do they also match each other using the Relatives in Common feature?
  • Do they triangulate, indicated by “DNA Overlap” in Relatives in Common?
  • Who else is on the Relatives in Common list, and what do they have in common with each other?
  • Looking at your Ancestry Composition compared with theirs, what are your shared populations, and are they relevant? If you are both 100% European, then shared populations aren’t useful, but if both people share the same minority ancestry, especially on the same segments, it may indeed be relevant – especially if it can’t be accounted for on the known sides of the family.

Reach out to these people and see what they know about their genealogy, if they have tested elsewhere, and if they have a genealogy tree someplace that you can view.

If they can tell you their grandparents’ names, birth and death dates and locations, you can check public sources like WikiTree, FamilySearch and Geni, or build trees for them. You can also use Newspaper resources, like Newspapers.com, NewspaperArchive and the newspapers at MyHeritage.

I added the top 15 23andMe matches into the spreadsheet I created.

You’ll notice that not many people at 23andMe enter surnames. However, if you can identify individuals from your 3 known lines, you can piggyback the rest by using Relatives in Common in conjunction with the genetic tree placement.

Be sure to check all the people that are connected to the target line in your genetic tree.

You’ll want to harvest your DNA segments to paint at DNAPainter if you don’t solve this mystery with initial reviews at each vendor.

Ancestry

Let’s move to Ancestry next.

At Ancestry, you’ll want to start with your closest matches on your match list.

Ancestry classifies “Close Matches” as anyone 200 cM or greater, which probably won’t reach as far down as the matches we’ll want to include.

Some of the categories in the Shared cM Chart from DNAPainter, above, don’t work based on ages, so I’ve eliminated those. I also know, for example, that someone who could fall in the grandparent/grandchild category (blue star,) in my case, does not, so must be a different relationship.

Second cousins, who share great-grandparents, can be expected to share about 229 cM of DNA on average, or between 41 and 592 cM. First cousins share 866 cM, and half first cousins share 449 cM on average.

I have 13 close matches (over 200 cM), but I’m including my top 15 at each vendor, so I added two more. You can always go back and add more matches if necessary. Just keep in mind that the smaller the match, the greater the probability that it came from increasingly distant generations before your grandparents. Your sweet spot to identify grandparents is between 1C and 2C.

I need to divide my close matches into 4 groups, each one equating to a grandparent. Record this on your spreadsheet.

You can group your matches at Ancestry using colored dots, which means you can sort by those groups.

You can also select a “side” for a match by clicking on “Yes” under the question, “Do you recognize them?”

Initially, you want to determine if this person is related to you on your mother’s or father side, and hopefully, through which grandparent.

Recently, Ancestry added a feature called SideView which allows testers to indicate, based on ethnicity, which side is “parent 1” and which side is “parent 2.” I wrote about that, here.

Make your selection, assuming you can tell which “side” of you descends from which parent based on ethnicity and/or shared matches. How you label “parent 1,” meaning either maternal or paternal, determines how Ancestry assigns your matches, when possible.

Using these tools, which may not be completely accurate, plus shared matches with people you can identify, divide your matches among your three known grandparents, meaning that the people you cannot assign will be placed in the fourth “unknown” column.

On my spreadsheet, I assign all of my closest matches to one of my grandparents. Michael is my first cousin (1C) and we share both maternal grandparents, so he’s not helpful in the division because he can’t be assigned to only one grandparent.

The green maternal grandfather is who I’m attempting to identify.

There are 4 people, highlighted in yellow, who don’t fall into the other three grandparent lines, so they get added to the green column and will be my focus.

I would be inclined to continue adding matches using a process known as the Leeds Method, until I had several people in each category. Looking back at the DNAPainter cM chart, at this point, we don’t have anyone below 200 cM and the matches we need might be below that threshold. The more matches you have to work with, the better.

At Ancestry, you cannot download your matches into a spreadsheet, nor can you work with other clustering tools such as Genetic Affairs, so you’ll have to build out your spreadsheet manually.

Check for the same types of information that I reviewed at 23andMe:

  • Review trees, if your matches have them, minimally recording the surnames of their 8 great-grandparents.
  • Review shared matches, looking for common names in the trees in recent generations.
  • View shared matches with people with whom you have a “Common Ancestor” indication, which means a ThruLine. You won’t have Thrulines with your target grandparent, of course, but Thrulines will allow you to place the match in one of the other columns. I wrote about ThruLines here, here and here.
  • ThruLines sometimes suggests ancestors based on other people’s trees, so be EXCEEDINGLY careful with potential ancestor suggestions. That’s not to say you should discount those suggestions. Just treat them as tree hints that may have been copy/pasted hundreds of times, because that’s what they are.

I make notes on each match so I can easily see the connection by scanning without opening the match.

Now, I have a total of 30 entries on my spreadsheet, 15 from 23and Me and 15 from Ancestry.

Why Not Use Autosclusters?

Even with vendors who allow or provide cluster tools, I don’t use an automated autocluster tool at this point. Autocluster tools often omit your closest matches because your closest matches would be in nearly half of all your clusters, which isn’t exactly informative. However, for this purpose, those are the very matches we need to evaluate.

After identifying groups of people that represent the missing grandparent, using our spreadsheet methodology, autoclusters could be useful to identify common surnames and even to compare the trees of our matches using AutoTree, AutoPedigree and AutoKinship. AutoClusters cannot be utilized at Ancestry, but is available through MyHeritage and at GEDmatch, or through Genetic Affairs for 23andMe and FamilyTreeDNA.

Next, let’s move to FamilyTreeDNA.

FamilyTreeDNA

FamilyTreeDNA is the only vendor that provides Family Matching, also known as “bucketing.” FamilyTreeDNA assigns your matches to either a paternal or maternal bucket, or both, based on triangulated matches with someone you’ve linked to a profile in your tree.

The key to Family Matching is to link known Family Finder matches to their profile cards in your tree.

Clicking on the Family Tree link at the top of your personal page allows you to link your matches to the profile cards of your matches.

FamilyTreeDNA utilizes these linked matches to assign those people, and matches who match you and those people, both, on at least one common segment, to the maternal or paternal tabs on your match list.

Always link as many known people as possible (red stars) which will result in more matches being bucketed and assigned to parents’ sides for you, even if neither parent is available to test.

I wrote about Triangulation in Action at FamilyTreeDNA, here.

You can see at the top of my match list that I have a total of 8000 matches of which 3422 are paternal, 1517 are maternal and 3 match on both sides. Full siblings, their (and my) children and their descendants will always match on both sides. People with endogamy across both parents may have several matches on both sides.

If your relevant parent has tested, always work from their test.

Because we are searching for the maternal grandfather, in this case, we can ignore all tests that are bucketed as paternal matches.

Given that we are searching for my maternal grandfather, I probably have not been able to link as many maternal matches, other than possibly ones from my maternal grandmother. This means that the maternal grandfather’s matches are not bucketed because there are no identified matches to link on that side of my tree.

If you sort by maternal and paternal tabs, you’ll miss people who aren’t bucketed, meaning they have no maternal or paternal icon, so I recommend simply scanning down the list and processing maternal matches and non-bucketed matches.

By being able to confidently ignore paternally bucketed matches and only processing maternal and non-assigned matches, this is equivalent to processing the first 48 total matches. If I were to only look at the first 15 matches, 12 were paternal and only 3 are maternal.

Using bucketing at FamilyTreeDNA is very efficient and saves a lot of work.

Omitting paternal matches also means we are including smaller matches which could potentially be from common ancestors further back in the tree. Or, they could be younger testers. Or simply smaller by the randomness of recombination.

FamilyTreeDNA is a goldmine, with 16 of 20 maternal matches being from the unknown maternal grandfather.

Next, let’s see what’s waiting at MyHeritage.

MyHeritage

MyHeritage is particularly useful if your lineage happens to be from Europe. Of course, if you’re searching for an unknown person, you probably have no idea where they or their ancestors are from. Two of my best matches first appeared at MyHeritage.

Of course, your matches with people who descend from your unknown maternal grandfather won’t have any Theories of Family Relativity, as that tool is based on BOTH a DNA match plus a tree or document match. However, Theories is wonderful to group your matches to your other three grandparents.

MyHeritage provides a great deal of information for each match, including common surnames with your tree. If you recognize the surnames (and shared matches) as paternal or maternal, then you can assign the match. However, the matches you’re most interested in are the highest matches without any surnames in common with you – which likely point to the missing maternal grandfather.

However, those people may, and probably do, have surnames in common with each other.

Of the matches who aren’t attributed to the other three grandparents, the name Ferverda arises again and again. So does Miller, which suggests the grandparent or great-grandparent couple may well be Ferverda/Miller.

Let’s continue working through the process with our spreadsheet and see what we can discover about those surnames.

Our 60 Results

Of the 60 total results, 15 from each vendor, a total of 24 cannot be assigned to other columns through bucketing or shared matches, so are associated with the maternal grandfather. Of course, Michael who descends from both of my maternal grandparents won’t be helpful initially.

Cheryl, Donald and Michael are duplicates at different vendors, but the rest are not.

Of the relevant matches, the majority, 12 are from FamilyTreeDNA, four each are from Ancestry and MyHeritage, and three are from 23andMe.

Of the names provided in the surname fields of matches, in matches’ trees in the first few generations, and the testers’ surnames, Ferverda is repeated 12 times, for 50% of the time. Miller is repeated 9 times, so it’s likely that either of those are the missing grandfather’s surname. Of course, if we had Y-DNA, we’d know the answer to that immediately.

Comparing trees of my matches, we find John Ferverda as the common ancestor between two different matches. John is the son of Hiram Ferverda and Eva Miller who are found in several trees.

That’s a great hint. But is this the breakthrough I need?

What’s Next?

The next step is to look for connections between the maternal grandmother, Edith Lore, who is known in our example, and a Ferverda male. He is probably one of the sons of Hiram Ferverda and Eva Miller. Do they lived in the same area? In close proximity? Do they attend the same church or school? Are they neighbors or live close to the family or some of their relatives? Does she have connections with Ferverda family members? We are narrowing in.

Some of Hiram and Eva’s sons might be able to be eliminated based on age or other factors, or at least be less likely candidates. Any of their children who had moved out of state when the child was conceived would be less likely candidates. Age would be a factor, as would opportunity.

Target testing of the Ferverda sons’ children, or the descendants of their children would (probably) be able to pinpoint which of their sons is more closely related to me (or my mother) than the rest.

In our case, indeed, John Ferverda is the son we are searching for and his descendant, Michael is the highest match on the list. Cheryl and Donald descend from John’s brother, which eliminates him as a candidate. Another tester descends from a third Ferverda son, which eliminates that son as well.

Michael, my actual first cousin with a 755 cM match at one vendor, and 822 cM at a second vendor, is shown by the MyHeritage cM Explainer with an 88% probability that he is my first cousin.

However, when I’m trying to identify the maternal grandfather, which is half of that couple, I need to focus one generation further back in time to eliminate other candidates.

The second and third closest matches are both Donald at 395 cM and Cheryl at 467 cM who also share the same Ferverda/Miller lineage and are the children of my maternal grandfather’s brother.

On the spreadsheet, I need to look at the trees of people who have both Ferverda and Miller, which brought me to both Cheryl and Donald, then Michael, which allowed me to identify John Ferverda, unquestionably, as my grandfather based on the cM match amounts.

Cheryl and Donald, who are confirmed full siblings, and my mother either have to be first cousins, or half siblings. Their match with mother is NOT in the half-sibling range for one sibling, and on the lower edge with the other. Mother also matches Michael as a nephew, not more distantly as she would if he were a first cousin once removed (1C1R) instead of a nephew.

Evaluating these matches combined confirms that my maternal grandfather is indeed John Ferverda.

What About X DNA?

The X chromosome has a unique inheritance path which is sometimes helpful in this circumstance, especially to males.

Women inherit an X chromosome from both parents, but males inherit an X chromosome from ONLY their mother. A male inherits a Y chromosome from his father which is what makes him male. Women inherit two X chromosomes, one from each parent, and no Y, which is what makes them female.

Therefore, if you are a male and are struggling with which side of your tree matches are associated with, the X chromosome may be of help.

Your mother passed her X chromosome to you, which could be:

  • Her entire maternal X, meaning your maternal grandmother’s X chromosome
  • Her entire paternal X, meaning your maternal grandfather’s X chromosome (which descends from his mother)
  • Some combination of your maternal grandmother and maternal grandfather’s chromosomes

One thing we know positively is that a male’s X matches are ALWAYS from their maternal side only, so that should help when dividing a male’s matches maternally or paternally. Note – be aware of potential pedigree collapse, endogamy and identical-by-chance matches if it looks like a male has a X match on his father’s side.

Unfortunately, the X chromosome cannot assist females in the same way, because females inherit an X from both parents. Therefore, they can match people in the same was as a male, but also in additional ways.

  • Females will match their paternal grandmother on her entire X chromosome, and will match one or both of their maternal grandparents on the X chromosome.
  • Females will NEVER match their paternal grandfather’s X chromosome because their father did not inherit an X chromosome from his father.
  • Males will match one or both of their maternal grandparents on their X chromosome.
  • Males will NEVER match their paternal grandparents, because males do not receive an X chromosome from their father.

The usefulness of X DNA matching depends on the inheritance path of both the tester AND their match.

When Can Y-DNA or Mitochondrial DNA Help with Grandparent Identification?

If you recall, I selected the maternal grandfather as the person to seek because no tester carries either the Y-DNA or mitochondrial DNA of their maternal grandfather. In other words, this was the most difficult identification, meaning that any of the other three grandparents would be, or at least could be, easier with the benefit of Y-DNA and/or mitochondrial DNA testing.

In addition to matching, both Y-DNA and mitochondrial DNA will provide testers with location origins, both continental and often much more specific locations based on where other testers and matches are from.

Y-DNA often provides a surname.

Let’s see how these tests, matches and results can assist us.

  • Paternal grandfather – If I was a male descended from John Ferverda paternally, I could have tested both my autosomal DNA PLUS my Y-DNA, which would have immediately revealed the Ferverda surname via Y-DNA. Two Ferverda men are shown in the Ferverda surname DNA project, above.

That revelation would have confirmed the Ferverda surname when combined with the high frequency of Ferverda found among autosomal matches on the spreadsheet.

  • Maternal grandmother – If we were searching for a maternal grandmother, both the male and female sibling testers (as shown in the pedigree chart) would have her mitochondrial DNA which could provide matches to relevant descendants. Mitochondrial DNA at both FamilyTreeDNA and 23andMe could also eliminate anyone who does not match on a common haplogroup, when comparing 23andMe results to 23andMe results, and FamilyTreeDNA to FamilyTreeDNA results at the same level.

At 23andMe, only base level haplogroups are provided, but they are enough to rule out a direct matrilineal line ancestor.

At FamilyTreeDNA, the earlier HVR1 and HVR2 tests provide base level haplogroups, while full sequence testing provides granular, specific haplogroups. Full sequence is the recommended testing level.

  • Paternal grandmother – If we were searching for a paternal grandmother, testers would, of course, need either their father to test his mitochondrial DNA, or for one of his siblings to test which could be used in the same way as described for maternal grandmother matching.

Summary

Successfully identifying a grandparent is dependent on many factors. Before you make that identification, it’s very difficult to know which are more or less important.

For example, if the grandparent is from a part of the world with few testers, you will have far fewer matches, potentially, than other lines from more highly tested regions. In my case, two of my four grandparents’ families, including Ferverda, immigrated in the 1850s, so they had fewer matches than families that have been producing large families in the US for generations.

Endogamy may be a factor.

Family size in past and current generations may be a factor.

Simple luck may be a factor.

Therefore, it’s always wise to test your DNA, and that of your parents and close relatives if possible, and upload to all of the autosomal databases. Then construct an analysis plan based on:

  • How you descend from the grandparent in question, meaning do you carry their X DNA, Y-DNA or mitochondrial DNA.
  • Who else is available to test their autosomal DNA to assist with shared matches and the process of elimination.
  • Who else is available to test for Y-DNA and/or mitochondrial DNA of the ancestor in question.

If you don’t find the answer initially, schedule a revisit of your matches periodically and update your spreadsheet. Sometimes DNA and genealogy is a waiting same.

Just remember, luck always favors the prepared!

Resources

You may find the following resource articles beneficial in addition to the links provided throughout this article.

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X Chromosome Master Class

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The X chromosome can be especially useful to genetic genealogists because it has a unique inheritance path. Thanks to that characteristic, some of the work of identifying your common ancestor is done just by simply HAVING an X match.

Unfortunately, X-DNA and X matching is both underutilized and somewhat misunderstood – in part because not all vendors utilize the X chromosome for matching.

The X chromosome has the capability of reaching further back in time and breaking down brick walls that might fall no other way.

Hopefully, you will read this article, follow along with your own DNA results and make important discoveries.

Let’s get started!

Who Uses the X Chromosome?

The X chromosome is autosomal in nature, meaning it recombines under some circumstances, but you only inherit your X chromosome from certain ancestors.

It’s important to understand why, and how to utilize the X chromosome for matching. In this article, I’ve presented this information in a variety of ways, including case studies, because people learn differently.

Of the four major testing vendors, only two provide X-DNA match results.

  • FamilyTreeDNA – provides X chromosome results and advanced matching capabilities including filtered X matching
  • 23andMe – provides X chromosome results, but not filtered X matching without downloading your results in spreadsheet format
  • Ancestry and MyHeritage do not provide X-DNA results but do include the X in your raw DNA file so you can upload to vendors who do provide X matching
  • GEDmatch – not a DNA testing vendor but a third-party matching database that provides X matching in addition to other tools

It’s worth noting at this point that X-DNA and mitochondrial DNA is not the same thing. I wrote about that, here. The source of this confusion is that the X chromosome and mitochondrial DNA are both associated in some way with descent from females – but they are very different and so is their inheritance path.

So, what is X-DNA and how does it work?

What is X-DNA?

Everyone inherits two copies of each of chromosomes 1-22, one copy of each chromosome from each of your parents.

That’s why DNA matching works and each match can be identified as “maternal” or “paternal,” depending on how your match is related to you. Each valid match (excluding identical by chance matches) will be related either maternally, or paternally, or sometimes, both.

Your 23rd chromosome is your sex determination chromosome and is inherited differently. Chromosome 23 is comprised of X and Y DNA.

Everyone inherits one copy of chromosome 23 from each parent.

  • Males inherit a Y chromosome from their father, which is what makes males male. They do not inherit an X chromosome from their father.
  • Males always inherit an X chromosome from their mother.
  • Females inherit an X chromosome from both parents, which is what makes them female. Females have two X chromosomes, and no Y chromosome.
Chromosome 23 Father Contributes Mother Contributes
Male Child Y chromosome X chromosome
Female Child X chromosome X chromosome

X-DNA and mitochondrial DNA are often confused, but they are not the same thing. In fact, they are completely different.

Mitochondrial DNA, in BOTH males and females is always inherited from only the mother and only descends from the direct matrilineal line, so only the mother’s mother’s mother’s direct line. X DNA can be inherited from a number of ancestors based on a specific inheritance path.

Everyone has both X-DNA AND mitochondrial DNA.

Because males don’t inherit an X chromosome from their father, X chromosome matching has a unique and specific pattern of descent which allows testers who match to immediately eliminate some potential common ancestors.

  • Males only inherit an X chromosome from their mother, which means they can only have legitimate X matches on their mother’s side of their tree.
  • Females, on the other hand, inherit an X chromosome from both their mother and father. Their father only has one X chromosome to contribute, so his daughter receives her paternal grandmother’s X chromosome intact.
  • Both males and females inherit their mother’s X chromosome just like any of the other 22 autosomes. I wrote about chromosomes, here.

However, the unique X chromosome inheritance path provides us with a fourth very useful type of DNA for genealogy, in addition to Y-DNA, mitochondrial and autosomal DNA.

For the vendors who provide X-matching, it’s included with your autosomal test and does not need to be purchased separately.

The Unique X Chromosome

The X chromosome, even though it is autosomal in nature, meaning it does recombine and divide in certain circumstances, is really its own distinct tool that is not equivalent to autosomal matching in the way we’re accustomed. We just need to learn about the message it’s delivering and how to interpret X matches.

FamilyTreeDNA is one of two vendors who utilizes X chromosome matching, along with 23andMe, which is another good reason to encourage your matches at other vendors to upload their DNA file to FamilyTreeDNA for free matching.

The four major vendors do include X-DNA results in their raw DNA download file, even if they don’t provide X-matching themselves. This means you can upload the results to either FamilyTreeDNA or GEDmatch where you can obtain X matches. I provided step-by-step download/upload instructions for each vendor here.

Let’s look how X matching is both different, and beneficial.

My X Chromosome Family Tree

We are going to build a simple case study. A case study truly is worth 1000 descriptions.

This fan chart of my family tree colorizes the X chromosome inheritance path. In this chart, males are colored blue and females pink, but the salient point is that I can inherit some portion of (or all of) a copy of my X chromosome from the colorized ancestors, and only those ancestors.

Because males don’t inherit an X chromosome from their father, they CANNOT inherit any portion of an X chromosome from their father’s ancestors.

Looking at my father’s half of the chart, at left, you see that I inherited an X chromosome from both of my parents, but my father only inherited an X chromosome from his mother, Ollie Bolton. His father’s portion of the tree is uncolored, so no X chromosome could have descended from his paternal ancestors to him. Therefore he could not pass any X chromosome segments to me from his paternal side – because he doesn’t have X DNA from his father.

Hence, I didn’t inherit an X chromosome from any of the people whose positions in the chart are uncolored, meaning I can only inherit an X chromosome from the pink or blue people.

Essentially any generational male to male, meaning father/son relationship is an X-DNA blocker.

I know positively that I inherited my paternal grandmother, Ollie Bolton’s entire X chromosome, because hers is the only X chromosome my father, in the fan chart above, had to give me. His entire paternal side of the fan chart is uncolored.

Men only ever inherit their X chromosome from their mother. The only exception to this is if a male has the rare genetic condition of Klinefelter Syndrome, also known as XXY. If you are an adult male, it’s likely that you’ll already know if you have Klinefelters, so that’s probably the last possibility you should consider if you appear to have paternal X matches, not the first.

Sometimes, men appear to have X matches on their father’s side, but (barring Klinefelter’s) this is impossible. Those matches must either be identical by chance, or somehow related in an unknown way on their mother’s side.

Everyone inherits an X chromosome from their mother that is some combination of the X from her father and mother. It’s possible to inherit all of your maternal grandmother or maternal grandfather’s X chromosome, meaning they did not recombine during meiosis.

Using DNA Painter as an X Tool

I use DNAPainter to track my matches and correlate segments with ancestors.

I paint my DNA segments for all my chromosomes at DNAPainter which provides me with a central tracking mechanism that is visual in nature and allows me to combine matches from multiple vendors who provide segment information. I provide step-by-step instructions for using DNAPainter, here.

This is my maternal X chromosome with my matches painted. I’ve omitted my matches’ names for privacy.

On the left side of the shaded grey column, those matches are from my maternal grandmother’s ancestors. On the right side, those matches are from my maternal grandfather’s ancestors.

The person in the grey column descends from unknown ancestors. In other words, I can tell that they descend from my maternal line, but I can’t (yet) determine through which of my two maternal grandparents.

There’s also an area to the right of the grey column where there are no matches painted, so I don’t know yet whether I inherited this portion of my X chromosome from my maternal grandmother or maternal grandfather.

The small darker pink columnar band is simply marking the centromere of the chromosome and does not concern us for this discussion.

Click on any image to enlarge

In this summary view of my paternal X chromosome, above, it appears that I may well have inherited my entire X chromosome from my paternal great-grandmother. We know, based on our inheritance rules that I clearly received my paternal grandmother’s X chromosome, because that’s all my father had to give me.

However, by painting my matches based on their ancestors, and selecting the summary view, you can see that most of my paternal X chromosome can be accounted for, with the exception of rather small regions with the red arrows.

It’s not terribly unusual for either a male or female to inherit their entire maternal X chromosome from one grandparent, or in this case, great-grandparent.

Of course, a male doesn’t inherit an X chromosome from their father, but a female can inherit her paternal X chromosome from either or both paternal grandparents.

Does Size Matter?

Generally speaking, an X match needs to be larger than a match on the other chromosomes to be considered genealogically equivalent in the same timeframe as other autosomal matches. This is due to:

  • The unique inheritance pattern, meaning fewer recombination events occurred.
  • The fact that X-DNA is NOT inherited from several lines.
  • The X chromosome has lower SNP density, meaning it contains fewer SNPs, so there are fewer possible locations to match when compared to the other chromosomes.

I know this equivalency requirement sounds negative, but it’s actually not. It means 7 cM (centimorgans) of DNA on the X chromosome will reach back further in time, so you may carry the DNA of an ancestor on the X chromosome that you no longer carry on other chromosomes. It may also mean that older segments remain larger. It’s actually a golden opportunity.

It sounds much more positive to say that a 16 cM X match for a female, or a 13 cM X match for a male is about the same as a 7 cM match for any other autosomal match in the same generation.

Of course, if the 7 cM match gets divided in the following generation, it has slipped below the matching threshold. If a 16 or 13 cM X match gets divided, it’s still a match. Plus, in some generations, if passed from father to daughter, it’s not divided or recombined. So a 7 cM X match may well be descended from ancestors further back in time.

X Chromosome Differences are Important!

Working with our great-great grandparent’s generation, we have 16 direct ancestors as illustrated in the earlier fan chart.

Given that females inherit from 8 X-chromosome ancestors in total, they are going to inherit an average of 45.25 cM of X-DNA from each of those ancestors. Females have two X chromosomes for a total length of 362 cM of X-DNA from both parents.

A male only has one X chromosome, 181 cM in length, so he will receive an average of 36.2 cM from each of 5 ancestors, and it’s all from his mother’s side.

In this chart, I’ve shown the total number of cMs for all of the autosomes, meaning chromosomes 1-22 and, separately, the X for males and females.

  • The average total cM for chromosomes 1-22 individually is 304 cM. (Yes, each chromosome is a different length, but that doesn’t matter for averages.)
  • That 304 cM can be inherited from any of 16 ancestors (in your great-grandparent’s generation)
  • The total number of cM on the X chromosomes for both parents for females totals 362
  • The total cM of X-DNA for males is 181 cM
  • The calculated average cM inherited for the X chromosome in the same generation is significantly different, shown in the bottom row.

The actual average for males and females for any ancestor on any random non-X chromosome (in the gg-grandparent generation) is still 19 cM. Due to the inheritance pattern of the X chromosome, the female X-chromosome average inheritance is 45.25 cM and the male average is 36.2 cM, significantly higher than the average of 19 cM that genetic genealogists have come to expect at this relationship distance on the other chromosomes, combined.

How Do I Interpret an X Match?

It’s important to remember when looking at X matching that you’re only looking at the amount of DNA from one chromosome. When you’re looking at any other matching amount, you’re looking at a total match across all chromosomes, as reported by that vendor. Vendors report total matching DNA differently.

  • The total amount of matching autosomal DNA does not include the X chromosome cMs at FamilyTreeDNA. X-DNA matching cMs are reported separately.
  • The total amount of matching autosomal DNA does include the X chromosome cMs in the total cM match at 23andMe
  • X-DNA is not used for matching or included in the match amount at either MyHeritage or Ancestry, but is included in the raw DNA data download files for all four vendors.
  • The total match amount shows the total for 22 (or 23) chromosomes, NOT just the X chromosome(s). That’s not apples to apples.

Therefore, an X match of 45 cM for a female or 36 for a male is NOT (necessarily) equivalent to a 19 cM non-X match. That 19 cM is the total for 22 chromosomes, while the X match amount is just for one chromosome.

You might consider a 20 cM match on the regular autosomes significant, but a 20 cM X-only match *could* be only roughly equivalent to a 10ish cM match on chromosomes 1-22 in the same generation. That’s the dog-leg inheritance pattern at work.

This is why FamilyTreeDNA does not report an X-only match if there is no other autosomal match. A 19 cM X match is not equivalent to a 19cM match on chromosomes 1-22. Not to mention, calculating relationships based on cM ranges becomes more difficult when the X is included.

However, the flip side is that because of the inheritance pattern of the X chromosome, that 19 cM match, if valid and not IBC, may well reach significantly further back in time than a regular autosomal matches. This can be particularly important for people seeking either Native or enslaved African ancestors for whom traditional records are elusive if they exist at all.

Critical Take-Away Messages

Here are the critical take-away messages:

  1. Because there are fewer ancestral lineages contributing to the tester’s X chromosome, the amount of X chromosomal DNA that a tester inherits from the ancestors who contribute to their X chromosome is increased substantially.
  2. The DNA of the contributing ancestors is more likely to be inherited, because there are fewer other possible contributing ancestors, meaning fewer recombination events or DNA divisions/recombinations.
  3. X-DNA is also more likely to be inherited because when passed from mother to son, it’s passed intact and not admixed with the DNA of the father.
  4. X matches cannot be compared equally to either percentages or cM amounts on any of the other chromosomes, or autosomal DNA in total, because X matching only reports the amount on one single chromosome, while your total cM match amount reports the amount of DNA that matches from all chromosomes (which includes the X at 23andMe).
  5. If you have X matches at 23andMe and/or FamilyTreeDNA, you can expect your total matching to be higher at 23andMe because they include the X matching cM in the total amount of shared DNA. FamilyTreeDNA provides the amount of X matching DNA separately, but not included in the total. MyHeritage and Ancestry do not include X matching DNA.

For clarity, at FamilyTreeDNA, you can see my shared DNA match with my mother. Of course, I match her on the total length of all my chromosomes, which is 3563 cM, the total Shared DNA for chromosomes 1-22. This includes all chromosomes except for the X chromosome which is reported separately at 181 cM. The longest contiguous block of shared DNA is 284 cM, the entire length of chromosome 1, the longest chromosome.

Because I’m a female, I match both parents on the full length of all 23 chromosomes, including 181 cM on both X chromosomes, respectively. Males will only match their mother on their X chromosome, meaning their total autosomal DNA match to their father, because the X is excluded, is 181 cM less than to their mother.

This difference in the amount of shared DNA with each parent, plus the differences in how DNA totals are reported by various vendors is also challenging for tools like DNAPainter’s Shared cM Tool which is based on the crowd sourced Shared cM Project that averages shared DNA numbers for known relationships at various vendors and translates those numbers into possible relationships for unknown matches.

Not all vendors report their total amount of shared DNA the same way. This is true for both X-DNA and half identical (HIR) versus fully identical (FIR) segments at 23andMe. This isn’t to say either approach is right or wrong, just to alert you to the differences.

Said Another Way

Let’s look at this another way.

If the average on any individual chromosome is 19 cMs for a relationship that’s 5 generations back in time. The average X-DNA for the same distance relationship is substantially more, which means that:

  • The X-DNA probably reaches further back in time than an equivalent relationship on any other autosome.
  • The X-DNA will have (probably) divided fewer times, and more DNA will descend from individual ancestors.
  • The inheritance path, meaning potential ancestors who contributed the X chromosomal DNA, is reduced significantly.

It’s challenging to draw equivalences when comparing X-DNA matching to the other chromosomes due to several variables that make interpretation difficult.

Based on the X-match size in comparison to the expected 19 cM single chromosome match at this genealogical distance, what is the comparable X-DNA segment size to the minimum 7 cM size generally accepted as valid on other chromosomes? What would be equal to a 7 cM segment on any other single random autosomal match, even though we know the inheritance probabilities are different and this isn’t apples to apples? Let’s pretend that it is.

This calculation presumes at the great-great-grandparent level that the 19 cM is in one single segment on a single chromosome. Now let’s divide 19 cM by 7 cM, which is 2.7, then divide the X amounts by the same number for the 7 cM equivalent of 16.75 cM for a female and 13.4 cM for a male.

When people say that you need a “larger X match to be equivalent to a regular autosomal match,” this is the phenomenon being referenced. Clearly a 7 cM X match is less relevant, meaning not equivalent, in the same generation as a 7 cM regular autosomal match.

Still, X matching compared to match amounts shown on the other chromosomes is never exact;u apples to apples because:

  • You’re comparing one X chromosome to the combined DNA amounts of many chromosomes.
  • The limited recombination path.
  • DNA from the other autosomes is less likely to be inherited from a specific ancestor.
  • The X chromosome has a lower SNP density than the other chromosomes, meaning fewer SNPs per cM.
  • The X-DNA may well reach further back in time because it has been divided less frequently.

Bottom Line

The X chromosome is different and holds clues that the other autosomes can’t provide.

Don’t dismiss X matches even if you can’t identify a common ancestor. Given the inheritance path, and the reduced number of divisions, your X-DNA may descend from an ancestor further back in time. I certainly would NOT dismiss X matches with smaller cMs than the 13 and 16 shown above, even though they are considered “equivalent” in the same generation.

X chromosome matching can’t really be equated to matching on the other chromosomes. They are two distinct tools, so they can’t be interpreted identically.

Different vendors treat the X chromosome differently, making comparison challenging.

  • 23andMe includes not only the X chromosome in their cM total, but doubles the Fully Identical Regions (FIR) when people, such as full siblings, share the same DNA from both parents. I wrote about that here.
  • Ancestry does not include the X in their cM match calculations.
  • Neither does MyHeritage.
  • FamilyTreeDNA shows an X match only when it’s accompanied by a match on another chromosome.

The Shared cM Project provides an average of all of the data input by crowdsourcing from all vendors, by relationship, which means that the cM values for some relationships are elevated when compared to the same relationship or even same match were it to be reported from a different vendor.

The Best Part!

The X chromosome inheritance pattern means that you’re much more likely to carry some amount of a contributing ancestor’s X-DNA than on any other chromosome.

  • X-DNA may well be “older” because it’s not nearly as likely to be divided, given that there are fewer opportunities for recombination.
  • When you’re tracking your X-DNA back in your tree, whenever you hit a male, you get an automatic “bump” back a generation to his mother. It’s like the free bingo X-DNA square!
  • You can immediately eliminate many ancestors as your most recent common ancestor (MRCA) with an X-DNA match.
  • Because X-DNA reaches further back in time, sometimes you match people who descend from common ancestors further back in time as well.

If you match someone on multiple segments, if one of those matching segments is X-DNA, that segment is more likely to descend from a different ancestor than the segments on chromosomes 1-22. I’ve found many instances where an X match descends from a different ancestor than matching DNA segments on the autosomes. Always evaluate X matches carefully.

Sometimes X-DNA is exactly what you need to solve a mystery.

Ok, now let’s step through how to use X-DNA in a real-life example.

Using X DNA to Solve a Mystery

Let’s say that I have a 30 cM X match with a male.

  • I know immediately that our most recent common ancestor (MRCA) is on HIS mother’s side.
  • I know, based on my fan chart, which ancestral lines are eliminated in my tree. I’ve immediately narrowed the ancestors from 16 to 5 on his side and 16 to 8 on my side.
  • Two matching males is even easier, because you know immediately that the common ancestor must be on both of their mother’s sides, with only 5 candidate lines each at the great-great-grandparent generation.

Female to female matches are slightly more complex, but there are still several immediately eliminated lines each. That means you’ve already eliminated roughly half of the possible relationships by matching another female on their X chromosome.

In this match with a female second cousin, I was able to identify who she was via our common ancestor based on the X chromosome path. In this chart, I’m showing the relevant halves of her chart at left (paternal), and mine (maternal), side by side.

I added blockers on her chart and mine too.

As it turns out, we both inherited most of our X chromosome from our great-grandparents, marked above with the black stars.

Several lines are blocked, and my grandfather’s X chromosome is not a possibility because the common ancestor is my maternal grandmother’s parents. My grandfather is not one of her ancestors.

Having identified this match as my closest relative (other than my mother) to descend on my mother’s maternal side, I was able to map that portion of my X chromosome to my great-grandparents Nora Kirsch and Curtis Benjamin Lore.

My X Chromosome at DNA Painter

Here’s my maternal X chromosome at DNAPainter and how I utilized chromosome painting to push the identification of the ancestors whose X chromosome I inherited back an additional two generations.

Using that initial X chromosome match with my second cousin, shown by the arrow at bottom of the graphic, I mapped a large segment of my maternal X chromosome to my maternal great-grandparents.

By viewing the trees of subsequent X maternal matches, I was then able to push those common segments, shown painted directly above that match with the same color, back another two generations, to Joseph Hill, born in 1790, and Nabby Hall. I was able to do that based on the fact that other matches descend from Joseph and Nabby through different children, meaning we all triangulate on that common segment. I wrote about triangulation at DNAPainter, here.

I received no known X-DNA from my great-grandmother, Nora Kirsch, although a small portion of my X chromosome is still unassigned in yellow as “Uncertain.”

I received a small portion of my maternal X chromosome, in magenta, at left, from my maternal great-great-grandparents, John David Miller and Margaret Lentz.

The X chromosome is a powerful tool and can reach far back in time.

In some cases, the X, and other chromosomes can be inherited intact from one grandparent. I could have inherited my mother’s entire copy of her mother’s, or her father’s X chromosome based on random recombination, or not. As it turns out, I didn’t, and I know that because I’ve mapped my chromosomes to identify my ancestors based on common ancestors with my matches.

X-DNA Advanced Matches at FamilyTreeDNA

At FamilyTreeDNA, the Advanced Matches tab includes the ability to search for X matches, either within the entire database, or within specific projects. I find the project selection to be particularly useful.

For example, within the Claxton project, my father’s maternal grandmother’s line, I recognize my match, Joy, which provides me an important clue as to the possible common ancestor(s) of our shared segments.

Joy’s tree shows that her 4-times great-grandparents are my 3-times great-grandparents, meaning we are 4th cousins once removed and share 17 cM of DNA on our X chromosome across two segments.

Don’t be deceived by the physical appearance of “size” on your chromosomes. The first segment that spans the centromere, or “waist” of the chromosome, above, is 10.29 cM, and the smaller segment at right is 7.02 cM. SNPs are not necessarily evenly distributed along chromosomes.

Remember, an X or other autosomal match doesn’t necessarily mean the entire match is contained in one segment so long as it’s large enough to be divided in two parts and survive the match threshold.

It’s worth noting that Joy and I actually share at least two different, unrelated ancestral lines, so I need to look at Joy’s blocked lines to see if one of those common ancestral lines is not a possibility for our X match. It’s important to evaluate all possible ancestors, plus the inheritance path to eliminate any lineage that involves a father to son inheritance on the X chromosome.

Last but not least, you may match on your X chromosome through a different ancestor than on other chromosomes. Every matching segment has its own individual history. It’s not safe to assume.

Now, take a look at your X chromosome matches at FamilyTreeDNA, 23andMe, and GedMatch. What will you discover?

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In Search of…How Am I Related to That Close Match?

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My friend recently reached out to me for some help with a close match at Ancestry. Which vendor doesn’t matter – the process for figuring out who my friend is related to her match would be essentially the same at any vendor.

My friend has no idea who the match is, nor how they are related. That match has not replied, nor is any of her information recognizable, such as an account name or photo. She has no tree, so there are literally no clues provided by the match.

We need to turn to science and old-fashioned sleuthing.

This eighth article in the “In Search of…” series steps you through the process I’m stepping my friend through.

This process isn’t difficult, per se, but there are several logical, sequential steps. I strongly recommend you read through this (at least) once, then come back and work through the process if you’re trying to solve a similar mystery.

The “In Search of…” Series

Please note that I’ve written an entire series of “In Search of…” articles that will step you through the search process and help you understand how to unravel your results. If you’re new, reading these, in order, before proceeding, would be a good idea.

  • I introduced the “In Search of” series in the article, DNA: In Search of…New Series Launches.
  • In the second article, DNA: In Search of…What Do You Mean I’m Not Related to My Family? – and What Comes Next? we discussed the discovery that something was amiss when you don’t match a family member that you expect to match, then how to make sure a vial or upload mix-up didn’t happen. Next, I covered the basics of the four kinds of DNA tests you’ll be able to use to solve your mystery.
  • In the third article, In Search of…Vendor Features, Strengths, and Testing Strategies, we discussed testing goals and strategies, including testing with and uploading to multiple autosomal DNA vendors, Y DNA, and mitochondrial DNA testing. We reviewed the vendor’s strengths and the benefits of combining vendor information and resources.
  • In the fourth article, DNA: In Search of…Signs of Endogamy, we discussed the signs of endogamy and various ways to determine if you or your recent ancestors descend from an endogamous population.
  • In the fifth article, DNA: In Search of…Full and Half-Siblings we discussed how to determine if you have a sibling match, if they are a half or full sibling, and how to discern the difference.
  • In the sixth article, Connect Your DNA test, and Others, to Your Tree, I explained how to optimize your DNA tests in order to take advantage of the features offered by each our primary DNA testing vendors.
  • In the seventh article, How to Share DNA Results and Tree Access at Ancestry, I wrote step-by-step instructions for providing access to another person to allow them to view your DNA results, AND to share your tree – which are two different things. If you have a mystery match, and they are willing to allow you access, in essence “to drive,” you can just send them the link to this article that provides detailed instructions. Note that Ancestry has changed the user interface slightly with the rollout of their new “sides” matches, but I can’t provide the new interface screenshots yet because my account has not been upgraded.

Sarah – The Mystery Match

My friend, who I’ll be calling the Tester, matches Sarah (not her name) at 554 cM. At that close level, you don’t have to worry about segments being removed by Timber at Ancestry, so that is an actual cM match level. Timber only removes segments when the match is under 90 cM. Other vendors don’t remove cMs at all.

Ancestry shows the possible relationships at that level as follows:

Some of these relationships can be immediately dismissed in this situation. For example, the Tester knows that Sarah is not her grandchild or great-grandchild.

Our tester does not have any full siblings, or any known half-siblings, but like many genealogists, she is always open-minded. Both of her parents are living, and her father has already tested. Sarah does not match her father. So, this match is on her mother’s side.

It’s obvious that Sarah is not a full sibling, nor is she a half-sibling, based on the cM values, but she might be a child, or grandchild of a maternal half-sibling.

Let’s begin with observations and questions that will help our Tester determine how she and Sarah are related.

  1. It’s clear that IF this is a half-sibling descendant match, it’s on her mother’s side, because Sarah does not match our Tester’s father.
  2. The tester’s mother has six siblings, none of whom have tested directly, but three of whom have children or grandchildren who have tested.
  3. By viewing shared matches, Sarah matches known relatives of BOTH the maternal grandmother AND maternal grandfather of our tester, which means Sarah is NOT the product of an unknown half-sibling of her mother. Remember, Ancestry does not display shared matches of less than 20 cM. Other vendors do not restrict your shared matches.
  4. Ancestry does not provide mitochondrial DNA information, so that cannot be utilized, but could be utilized if this match was at FamilyTreeDNA, and partially utilized in an exclusionary manner if the match was at 23andMe.

DNAPainter

DNAPainter’s Shared cM Tool provides a nice visual display of possible relationships, so I entered the matching cM amount

The returned relationships are similar to Ancestry’s possible relationships.

The grid display shows the possible relationships. Relationships that fall outside of this probability range are muted.

The color shading is by generation, meaning dark grey is through great-great-grandparents, apricot is through great-grandparents, green is through grandparents, grey is through one or both parents, and blue are your own descendants.

Based on known factors, I put a red X in the boxes that can’t apply to Sarah and our Tester after evaluating each relationship. I bracketed the statistically most likely relationships in red, although I must loudly say, “do not ignore those other possibilities.”

Let’s step through the logic which will be different for everyone’s own situation, of course.

  • Age alone eliminates the great and half-great grandparents, aunts, and uncles. They are all deceased and would be well over 100 years old if they were living.
  • The green half relationships are eliminated because we know via shared matches that Sarah matches BOTH of the Tester’s maternal grandparent’s sides.
  • We know that Sarah is not a second cousin because second cousins match only ONE maternal grandparent’s ancestor’s descendants, and Sarah matches both of the tester’s maternal grandparents through their descendants. In other words, Sarah and our Tester both match people who descend from both of the Tester’s maternal grandmother AND grandfather’s lines, which, unless they are related, means Sarah’s closest common ancestor (MCRA – most recent common ancestor) with our Tester are either her maternal grandparents, or her mother.
  • Therefore, we know that Sarah cannot be any of the apricot-colored relationships because she matches BOTH of our Tester’s maternal grandparents. She would only be related through one of the Tester’s maternal grandparents to be related on the apricot level.
  • Sarah cannot be a full great-niece or nephew, or great or great-great niece or nephew because the Tester has no full siblings, confirmed by the fact that Sarah does not match the Tester’s father.
  • We know that Sarah is not the great-grandchild of the Tester, in part due to age, but the definitive scientific ax to that possibility is that Sarah does not match our Tester’s father. (Yes, our Tester does match her father at the appropriate level.)

We know that Sarah is somehow a descendant of BOTH of Tester’s maternal grandparents, so must be in either the green band of relationships, the grey half-relationships, or the blue direct relationships. All of these relationships would be descended from the Tester’s maternal grandparents (plural.)

We’ve eliminated the blue direct relationship because Sarah does not match the Tester’s father. This removes the possibility that the Tester’s children have an unknown great-grandchild, although in this case, age removes that possibility anyway.

This process-of-elimination leaves as possible relationships:

  • Grey band half niece/nephew and half great-niece/nephew, meaning that the Tester has an unknown half-sibling on their mother’s side whose child or grandchild has tested.
  • Green band first cousin which means that the tester descends from one of the Tester’s maternal aunts or uncles. Given that Sarah is not a known child of any of the Tester’s six aunts and uncles, that opens the possibility that her mother’s sibling has a previously unknown child. Three of the Tester’s mother’s siblings are females, and three are males.
  • Green band first cousin once removed is one generation further down the tree, meaning a child of a first cousin.

Using facts we know, we’ve already restricted the possible relationships to four.

Hypothesis and Shared Matches

In situations like this, I use a spreadsheet, create hypothesis scenarios and look for eliminators.

I worked with the Tester to assemble an easy spreadsheet with each of her mother’s siblings in a column, along with their year of birth. All names have been changed.

The hypothesis we are working with is that the Tester’s mother has a previously unknown child and that Sarah is that person’s child or grandchild.

Across the top of our spreadsheet, which you could also simply create as a chart, I’ve written the names of the maternal grandparents.

The Tester’s mother, Susie, is shown in the boxes that are colored red, and her siblings are listed in their birth order. Siblings who have anyone in their line who has tested are shown by colored boxes.

The Tester is shown in red beneath her mother, Susie, and a potential mystery half-sibling is shown beneath Susie.

This is important – the relationships shown are FROM THE PERSPECTIVE OF THE TESTER.

This means, at far left, with the red arrow, these people at the top, meaning the mother’s siblings are the Tester’s aunts and uncles.

The next generation down are the Tester’s first cousins, followed by the next row, with 1C1R. The cell colors in that column correspond to the DNAPainter generation columns.

In the red “Mother” group, you’ll see that I’ve included that mystery half-sibling and beneath, the relationships that could exist at that same generation level. So, if the mystery half-sibling had a child, that person would be the half-niece/nephew of the Tester.

The cM value pointed to by the arrows, is the cM value at which the TESTER matches that person.

In this case, Ginger’s son, Jacob matches our Tester at 946 cM, which is exactly normal for a first cousin. Ginger’s son, Aaron, has not tested, but his daughter, Crystal, has and matches our Tester at 445 cM.

Three of the Tester’s aunts/uncles, John, Jim, and Elsie are not represented in this matrix, because no one from their line has yet tested. The Tester has contacted members of those families asking if they will accept a testing scholarship.

Analysis Grids

Some of the children of our Tester’s aunts/uncles have tested, and their matches to Sarah are shown in the bottom row in yellow, on the chart below.

Of course, obtaining Sarah’s matching cM information required the Tester to contact her aunts/uncles and cousins to ask them to look at their match to Sarah at Ancestry.

For each set of relationships with Sarah, I’ve prepared a mini-relationship grid below Sarah’s matches with one of the Tester’s aunts/uncles’ descendants.

  • If Sarah is related to the Tester through an unknown half-sibling, Sarah will match the tester more closely than she will match any of the children of the Tester’s aunts and uncles.
  • If Sarah descends through one of the Tester’s aunts’ or uncles’ lines, Sarah will match someone in those lines more closely than our Tester, but we may need to compensate for generations in our analysis.

I pasted the DNAPainter image in the spreadsheet in a convenient place to remind myself of which relationships are possible between our Tester and Sarah, then I created a small grid beneath the Tester’s match to Sarah, who is the yellow row.

Let me explain, beginning with our Tester’s match to Sarah.

Tester’s Match to Sarah

The Tester matches Sarah at 554 cM, which can potentially be a number of different relationships. I’ve listed the possible relationships with the most likely, at 87%, at the top. I have not listed any relationships we’ve positively eliminated, even though they would be scientifically possible.

I can’t do this for our Tester’s Uncle David, because the Tester has not yet heard back from David’s son, Gary, as to how many cMs he shares with Sarah.

Our tester’s aunts, Ginger and Barbara do have descendants who have tested, so let’s evaluate those relationships.

Ginger and Sarah

We know less about Ginger and Sarah than we do about our Tester and Sarah. However, many of the same relationship constraints remain constant.

  • For example, we know that Sarah matches both of Ginger’s grandparents, because Ginger is our tester’s aunt, Susie’s full sibling.
  • Our tester and all of the other family members who have tested match on both maternal grandparents’ sides.
  • Therefore, we also know that the 2C relationships won’t work either because Sarah matches both maternal grandparents.
  • Based on ages, it’s very unlikely that Sarah is a great-grandchild of Ginger’s children, in part, because I’m operating under the assumption that Sarah is old enough to purchase her own test, so not a child. Ancestry’s terms of service require testers to be 18 years of age to purchase or activate a DNA test. Also, Sarah’s test is not managed by someone else.
  • We don’t know about great-nieces and nephews though, because if one of Ginger’s sibling’s children had an unknown child, that person could be Sarah or Sarah’s parent.

Ginger’s son Jacob

Using the closest match in Ginger’s line, her son Jacob, we find the following possibilities using Jacob’s match to Sarah of 284cM.

The DNAPainter grid shows the more distant relationship clearly.

You can quickly determine that Sarah probably does not descend from Ginger’s line, but let’s add this to our spreadsheet for completeness.

You can see that the MOST likely relationship, of the possible relationships based on our known factors, is 1C2R, which is the least likely relationship between our Tester and Sarah. It’s important to note that our Tester and Jacob are in the same generation, so we don’t need to do any compensating for a generational difference.

Comparing those relationships, you can see that the least likely relationship between Sarah and Jacob is much more likely between Sarah and our Tester.

Therefore, we can rule out Ginger’s line as a candidate. Sarah is not a descendant of Ginger.

Let’s move on to Barbara’s line.

Barbara’s Daughter Cindy

This time, we’re going to do a bit of inferring because we do have a generational difference.

Barbara’s granddaughter, Mary, has tested and matches Sarah at 230 cM. While we know that Sarah probably wouldn’t match Mary’s mother, Cindy, at exactly double that, 460 cM, it would certainly be close.

So, for purposes of this comparison, I’m using 460 cM for Sarah to match Cindy.

That makes this comparison in the same generation as Ginger and our Tester to Sarah. We are comparing apples to apples and not apples to half an apple (an apple once removed, technically, but I digress.) 😊

You can see that this analysis is MUCH closer to the cM amounts and relationship possibilities of Sarah and our Tester.

Here are the possible relationships of Sarah and Cindy, with the most likely being boxed in red.

Where Are We?

Here is my completed spreadsheet, so far, less the two DNAPainter graphs for Ginger and Barbara’s lines.

To date, we’ve eliminated Ginger as Sarah’s ancestor.

Both Susie, the mother of our Tester, and Susie’s sister Barbara are still candidates to have an unknown child based on DNA, or one of their children possibly having an unknown child.

Of course, we still have one more sister, Elsie, and those three silent brothers sitting over there. It’s much easier for a male to have an unknown child than a female. By unknown, in this situation, I mean truly unknown, not hidden.

What’s Needed?

Of course, what we really need is tests from each of Susie’s siblings, but that’s not going to happen. What can we potentially do with what we have, how, and why?

Our Tester can refine these results in a number of ways.

  • Talk to living siblings or other family members and tactfully ask what they know about the four women during their reproductive years. Were they missing, off at school, visiting “aunts” in another location, separated from a spouse, etc.?
  • Check to see if Sarah shared her ethnicity results (View match, then click on “Ethnicity.”) If Sarah has a significant ethnicity that is impossible to confuse, this might be significant. For example, if Sarah is 50% Korean, and one of Susie’s brothers served in Korea, that makes him a prime candidate.
  • If possible, ask John, David, Jim, Ginger, Barbara, and Elsie to take DNA tests themselves. The best test is ALWAYS the oldest generation because their DNA is not yet divided in subsequent generations.
  • If that’s not possible, find a child or grandchild of Elsie, Jim, and John to test.
  • The Tester needs to find out how closely David’s son, Gary matches Sarah, then perform the same analysis that we stepped through above.
  • Ask Ginger’s son, Jacob to see if Sarah also shares matches with the closest family members of the known father of Ginger’s children. One of Ginger’s children could have had an unknown child. This is unlikely, based on what we’ve already determined about Sarah’s match level to Jacob, but it’s worth asking.
  • Ask Barbara’s granddaughter, Mary, to see if she and Sarah share matches with the closest family members of the known father of Barbara’s children. This scenario is much more likely.
  • If the answer is yes to either of the last two questions, we have identified which line Sarah descends from, because she can only descend from both Barbara AND the father of her children if Sarah descends from that couple.
  • If the answer is no, we’ve only eliminated full siblings to Ginger and Barbara’s children, not half-siblings.
  • If our Tester can make contact with Gary, ask him if he and Sarah share matches with David’s wife’s line. One of David’s children could have an unknown child.
  • If our Tester can actually make contact with Sarah, and if Sarah is willing and interested, our Tester can create a list of people to look for in her matches – for example, the spouses’ lines of all of Susie’s siblings. If Sarah matches NONE of the spouses’ lines, then one of Susie’s siblings (our Tester’s aunts/uncles,) or Susie’s mother, has an unknown child. However, if Sarah is a novice tester or genealogist, she might well be quite overwhelmed with understanding how to perform these searches. She may already be overwhelmed by discovering that she doesn’t match who she expected to match. Or, she may already know the answer to this question.
  • It would be easier if Sarah granted our Tester access to her DNA results to sort through all of these possibilities, but that’s not something I would expect a stranger to do, especially if this result is something Sarah wasn’t expecting.

I wrote instructions for providing access to DNA results in the article, How to Share DNA Results and Tree Access at Ancestry.

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Top Ten RootsTech 2022 DNA Sessions + All DNA Session Links

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The official dates of RootsTech 2022 were March 3-5, but the sessions and content in the vendor booths are still available. I’ve compiled a list of the sessions focused on DNA, with web links on the RootsTech YouTube channel

YouTube reports the number of views, so I was able to compile that information as of March 8, 2022.

I do want to explain a couple of things to add context to the numbers.

Most speakers recorded their sessions, but a few offered live sessions which were recorded, then posted later for participants to view. However, there have been glitches in that process. While the sessions were anticipated to be available an hour or so later, that didn’t quite happen, and a couple still aren’t posted. I’m sure the presenters are distressed by this, so be sure to watch those when they are up and running.

The Zoom rooms where participants gathered for the live sessions were restricted to 500 attendees. The YouTube number of views does not include the number of live viewers, so you’ll need to add an additional number, up to 500.

When you see a number before the session name, whether recorded or live, that means that the session is part of a series. RootsTech required speakers to divide longer sessions into a series of shorter sessions no longer than 15-20 minutes each. The goal was for viewers to be able to watch the sessions one after the other, as one class, or separately, and still make sense of the content. Let’s just say this was the most challenging thing I’ve ever done as a presenter.

For recorded series sessions, these are posted as 1, 2 and 3, as you can see below with Diahan Southard’s sessions. However, with my live session series, that didn’t happen. It looks like my sessions are a series, but when you watch them, parts 1, 2 and 3 are recorded and presented as one session. Personally, I’m fine with this, because I think the information makes a lot more sense this way. However, it makes comparisons difficult.

This was only the second year for RootsTech to be virtual and the conference is absolutely HUGE, so live and learn. Next year will be smoother and hopefully, at least partially in-person too.

When I “arrived” to present my live session, “Associating Autosomal DNA Segments With Ancestors,” my lovely moderator, Rhett, told me that they were going to livestream my session to the RootsTech page on Facebook as well because they realized that the 500 Zoom seat limit had been a problem the day before with some popular sessions. I have about 9000 views for that session and more than 7,400 of them are on the RootsTech Facebook page – and that was WITHOUT any advance notice or advertising. I know that the Zoom room was full in addition. I felt kind of strange about including my results in the top ten because I had that advantage, but I didn’t know quite how to otherwise count my session. As it turns out, all sessions with more than 1000 views made it into the top ten so mine would have been there one way or another. A big thank you to everyone who watched!

I hope that the RootsTech team notices that the most viewed session is the one that was NOT constrained by the 500-seat limited AND was live-streamed on Facebook. Seems like this might be a great way to increase session views for everyone next year. Hint, hint!!!

I also want to say a huge thank you to all of the presenters for producing outstanding content. The sessions were challenging to find, plus RootsTech is always hectic, even virtually. So, I know a LOT of people will want to view these informative sessions, now that you know where to look and have more time. Please remember to “like” the session on YouTube as a way of thanking your presenter.

With 140 DNA-focused sessions available, you can watch a new session, and put it to use, every other day for the next year! How fun is that! You can use this article as your own playlist.

Please feel free to share this article with your friends and genealogy groups so everyone can learn more about using DNA for genealogy.

Ok, let’s look at the top 10. Drum roll please…

Top 10 Most Viewed RootsTech Sessions

Session Title Presenter YouTube Link Views
1 1. Associating Autosomal DNA Segments With Ancestors Roberta Estes (live) https://www.youtube.com/watch?v=_IHSCkNnX48

 

 ~9000: 1019 + 500 live viewers + 7,400+ Facebook
2 1. What to Do with Your DNA Test Results in 2022 (part 1 of 3) Diahan Southard https://www.youtube.com/watch?v=FENAKAYLXX4 7428
3 Who Is FamilyTreeDNA? FamilyTreeDNA – Bennett Greenspan https://www.youtube.com/watch?v=MHFtwoatJ-A 2946
4 2. What to Do with Your DNA Test Results in 2022 (part 2 of 3) Diahan Southard https://www.youtube.com/watch?v=mIllhtONhlI 2448
5 Latest DNA Painter Releases DNAPainter Jonny Perl (live) https://www.youtube.com/watch?v=iLBThU8l33o 2230 + live viewers
6 DNA Painter Introduction DNAPainter – Jonny Perl https://www.youtube.com/watch?v=Rpe5LMPNmf0 1983
7 3. What to Do with Your DNA Test Results in 2022 (part 3 of 3) Diahan Southard https://www.youtube.com/watch?v=hemY5TuLmGI 1780
8 The Tree of Mankind Age Estimates Paul Maier https://www.youtube.com/watch?v=jjkL8PWAEwk 1638
9 A Sneak Peek at FamilyTreeDNA Coming Attractions FamilyTreeDNA (live) https://www.youtube.com/watch?v=K9sKqNScvnE 1270 + live viewers

 
10 Extending Time Horizons with DNA Rob Spencer (live) https://www.youtube.com/watch?v=wppXD1Zz2sQ 1037 + live viewers

 

All DNA-Focused Sessions

I know you’ll find LOTS of goodies here. Which ones are your favorites?

  Session Presenter YouTube Link Views
1 Estimating Relationships by Combining DNA from Multiple Siblings Amy Williams https://www.youtube.com/watch?v=xs1U0ohpKSA 201
2 Overview of HAPI-DNA.org Amy Williams https://www.youtube.com/watch?v=FjNiJgWaBeQ 126
3 How do AncestryDNA® Communities help tell your story? | Ancestry® Ancestry https://www.youtube.com/watch?v=EQNpUxonQO4 183

 
4 AncestryDNA® 201 Ancestry – Crista Cowan https://www.youtube.com/watch?v=lbqpnXloM5s

 

 494
5 Genealogy in a Minute: Increase Discoveries by Attaching AncestryDNA® Results to Family Tree Ancestry – Crista Cowan https://www.youtube.com/watch?v=iAqwSCO8Pvw 369
6 AncestryDNA® 101: Beginner’s Guide to AncestryDNA® | Ancestry® Ancestry – Lisa Elzey https://www.youtube.com/watch?v=-N2usCR86sY 909
7 Hidden in Plain Sight: Free People of Color in Your Family Tree Cheri Daniels https://www.youtube.com/watch?v=FUOcdhO3uDM 179
8 Finding Relatives to Prevent Hereditary Cancer ConnectMyVariant – Dr. Brian Shirts https://www.youtube.com/watch?v=LpwLGgEp2IE 63
9 Piling on the chromosomes Debbie Kennett https://www.youtube.com/watch?v=e14lMsS3rcY 465
10 Linking Families With Rare Genetic Condition Using Genealogy Deborah Neklason https://www.youtube.com/watch?v=b94lUfeAw9k 43
11 1. What to Do with Your DNA Test Results in 2022 Diahan Southard https://www.youtube.com/watch?v=FENAKAYLXX4 7428
12 1. What to Do with Your DNA Test Results in 2022 Diahan Southard https://www.youtube.com/watch?v=hemY5TuLmGI 1780
13 2. What to Do with Your DNA Test Results in 2022 Diahan Southard https://www.youtube.com/watch?v=mIllhtONhlI 2448
14 DNA Testing For Family History Diahan Southard https://www.youtube.com/watch?v=kCLuOCC924s 84

 
15 Understanding Your DNA Ethnicity Estimate at 23andMe Diana Elder

 

 https://www.youtube.com/watch?v=xT1OtyvbVHE 66
16 Understanding Your Ethnicity Estimate at FamilyTreeDNA Diana Elder https://www.youtube.com/watch?v=XosjViloVE0 73
17 DNA Monkey Wrenches Katherine Borges https://www.youtube.com/watch?v=Thv79pmII5M 245
18 Advanced Features in your Ancestral Tree and Fan Chart DNAPainter – Jonny Perl https://www.youtube.com/watch?v=4u5Vf13ZoAc 425
19 DNA Painter Introduction DNAPainter – Jonny Perl https://www.youtube.com/watch?v=Rpe5LMPNmf0 1983
20 Getting Segment Data from 23andMe DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=8EBRI85P3KQ 134
21 Getting segment data from FamilyTreeDNA DNA matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=rWnxK86a12U 169
22 Getting segment data from Gedmatch DNA matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=WF11HEL8Apk 163
23 Getting segment data from Geneanet DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=eclj8Ap0uK4 38
24 Getting segment data from MyHeritage DNA matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=9rGwOtqbg5E 160
25 Inferred Chromosome Mapping: Maximize your DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=tzd5arHkv64 688
26 Keeping track of your genetic family tree in a fan chart DNAPainter – Jonny Perl https://www.youtube.com/watch?v=W3Hcno7en94 806

 
27 Mapping a DNA Match in a Chromosome Map DNAPainter – Jonny Perl https://www.youtube.com/watch?v=A61zQFBWaiY 423
28 Setting up an Ancestral Tree and Fan Chart and Exploring Tree Completeness DNAPainter – Jonny Perl https://www.youtube.com/watch?v=lkJp5Xk1thg 77
29 Using the Shared cM Project Tool to Evaluate DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=vxhn9l3Dxg4 763
30 Your First Chromosome Map: Using your DNA Matches to Link Segments to Ancestors DNAPainter – Jonny Perl https://www.youtube.com/watch?v=tzd5arHkv64 688
31 DNA Painter for absolute beginners DNAPainter (Jonny Perl) https://www.youtube.com/watch?v=JwUWW4WHwhk 1196
32 Latest DNA Painter Releases DNAPainter (live) https://www.youtube.com/watch?v=iLBThU8l33o 2230 + live viewers
33 Unraveling your genealogy with DNA segment networks using AutoSegment from Genetic Affairs Evert-Jan Blom https://www.youtube.com/watch?v=rVpsJSqOJZI

 

 162
34 Unraveling your genealogy with genetic networks using AutoCluster Evert-Jan Blom https://www.youtube.com/watch?v=ZTKSz_X7_zs 201

 

 
35 Unraveling your genealogy with reconstructed trees using AutoTree & AutoKinship from Genetic Affairs Evert-Jan Blom https://www.youtube.com/watch?v=OmDQoAn9tVw 143
36 Research Like a Pro with DNA – A Genealogist’s Guide to Finding and Confirming Ancestors with DNA Family Locket Genealogists https://www.youtube.com/watch?v=NYpLscJJQyk 183
37 How to Interpret a DNA Network Graph Family Locket Genealogists – Diana Elder https://www.youtube.com/watch?v=i83WRl1uLWY 393
38 Find and Confirm Ancestors with DNA Evidence Family Locket Genealogists – Nicole Dyer https://www.youtube.com/watch?v=DGLpV3aNuZI 144
39 How To Make A DNA Network Graph Family Locket Genealogists – Nicole Dyer https://www.youtube.com/watch?v=MLm_dVK2kAA 201
40 Create A Family Tree With Your DNA Matches-Use Lucidchart To Create A Picture Worth A Thousand Words Family Locket Genealogists – Robin Wirthlin https://www.youtube.com/watch?v=RlRIzcW-JI4 270
41 Charting Companion 7 – DNA Edition Family Tree Maker https://www.youtube.com/watch?v=k2r9rkk22nU 316

 
42 Family Finder Chromosome Browser: How to Use FamilyTreeDNA https://www.youtube.com/watch?v=w0_tgopBn_o 750

 

 
43 FamilyTreeDNA: 22 Years of Breaking Down Brick Walls FamilyTreeDNA https://www.familysearch.org/rootstech/session/familytreedna-22-years-of-breaking-down-brick-walls Not available
44 Review of Autosomal DNA, Y-DNA, & mtDNA FamilyTreeDNA  – Janine Cloud https://www.youtube.com/watch?v=EJoQVKxgaVY 77
45 Who Is FamilyTreeDNA? FamilyTreeDNA – Bennett Greenspan https://www.youtube.com/watch?v=MHFtwoatJ-A 2946
46 Part 1: How to Interpret Y-DNA Results, A Walk Through the Big Y FamilyTreeDNA – Casimir Roman https://www.youtube.com/watch?v=ra1cjGgvhRw 684

 
47 Part 2: How to Interpret Y-DNA Results, A Walk Through the Big Y FamilyTreeDNA – Casimir Roman https://www.youtube.com/watch?v=CgqcjBD6N8Y

 

 259
48 Big Y-700: A Brief Overview FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=IefUipZcLCQ 96
49 Mitochondrial DNA & The Million Mito Project FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=5Zppv2uAa6I 179
50 Mitochondrial DNA: What is a Heteroplasmy FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=ZeGTyUDKySk 57
51 Y-DNA Big Y: A Lifetime Analysis FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=E6NEU92rpiM 154
52 Y-DNA: How SNPs Are Added to the Y Haplotree FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=CGQaYcroRwY 220
53 Family Finder myOrigins: Beginner’s Guide FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=VrJNpSv8nlA 88
54 Mitochondrial DNA: Matches Map & Results for mtDNA FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=YtA1j01MOvs 190
55 Mitochondrial DNA: mtDNA Mutations Explained FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=awPs0cmZApE 340

 
56 Y-DNA: Haplotree and SNPs Page Overview FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=FOuVhoMD-hw 432
57 Y-DNA: Understanding the Y-STR Results Page FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=gCeZz1rQplI 148
58 Y-DNA: What Is Genetic Distance? FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=qJ6wY6ILhfg 149
59 DNA Tools: myOrigins 3.0 Explained, Part 1 FamilyTreeDNA – Paul Maier https://www.youtube.com/watch?v=ACgY3F4-w78 74

 
60 DNA Tools: myOrigins 3.0 Explained, Part 2 FamilyTreeDNA – Paul Maier https://www.youtube.com/watch?v=h7qU36bIFg0 50
61 DNA Tools: myOrigins 3.0 Explained, Part 3 FamilyTreeDNA – Paul Maier https://www.youtube.com/watch?v=SWlGPm8BGyU 36
62 African American Genealogy Research Tips FamilyTreeDNA – Sherman McRae https://www.youtube.com/watch?v=XdbkM58rXIQ 153

 
63 Connecting With My Ancestors Through Y-DNA FamilyTreeDNA – Sherman McRae https://www.youtube.com/watch?v=xbo1XnLkuQU 200
64 Join The Million Mito Project FamilyTreeDNA (Join link) https://www.familysearch.org/rootstech/session/join-the-million-mito-project link
65 View the World’s Largest mtDNA Haplotree FamilyTreeDNA (Link to mtDNA tree) https://www.familytreedna.com/public/mt-dna-haplotree/L n/a
66 View the World’s Largest Y Haplotree FamilyTreeDNA (Link to Y tree) https://www.familytreedna.com/public/y-dna-haplotree/A link
67 A Sneak Peek at FamilyTreeDNA Coming Attractions FamilyTreeDNA (live) https://www.youtube.com/watch?v=K9sKqNScvnE 1270 + live viewers

 
68 DNA Upload: How to Transfer Your Autosomal DNA Data FamilyTreeDNA -Katy Rowe https://www.youtube.com/watch?v=CS-rH_HrGlo 303
69 Family Finder myOrigins: How to Compare Origins With Your DNA Matches FamilyTreeDNA -Katy Rowe https://www.youtube.com/watch?v=7mBmWhM4j9Y 145
70 Join Group Projects at FamilyTreeDNA FamilyTreeDNA link to learning center article) https://www.familysearch.org/rootstech/session/join-group-projects-at-familytreedna link

 
71 Product Demo – Unraveling your genealogy with reconstructed trees using AutoKinship GEDmatch https://www.youtube.com/watch?v=R7_W0FM5U7c 803
72 Towards a Genetic Genealogy Driven Irish Reference Genome Gerard Corcoran https://www.youtube.com/watch?v=6Kx8qeNiVmo 155

 
73 Discovering Biological Origins in Chile With DNA: Simple Triangulation Gonzalo Alexis Luengo Orellana https://www.youtube.com/watch?v=WcVby54Uigc 40
74 Cousin Lynne: An Adoption Story International Association of Jewish Genealogical Societies https://www.youtube.com/watch?v=AptMcV4_B4o 111
75 Using DNA Testing to Uncover Native Ancestry Janine Cloud https://www.youtube.com/watch?v=edzebJXepMA 205
76 1. Forensic Genetic Genealogy Jarrett Ross https://www.youtube.com/watch?v=0euIDZTmx5g 58
77 Reunited and it Feels so Good Jennifer Mendelsohn https://www.youtube.com/watch?v=X-hxjm7grBE 57

 
78 Genealogical Research and DNA Testing: The Perfect Companions Kimberly Brown https://www.youtube.com/watch?v=X82jA3xUVXk 80
79 Finding a Jewish Sperm Donor Kitty Munson Cooper https://www.youtube.com/watch?v=iKRjFfNcpug 164
80 Using DNA in South African Genealogy Linda Farrell https://www.youtube.com/watch?v=HXkbBWmORM0 141
81 Using DNA Group Projects In Your Family History Research Mags Gaulden https://www.youtube.com/watch?v=0tX7QDib4Cw 165
82 2. The Expansion of Genealogy Into Forensics Marybeth Sciaretta https://www.youtube.com/watch?v=HcEO-rMe3Xo 35

 
83 DNA Interest Groups That Keep ’em Coming Back McKell Keeney (live) https://www.youtube.com/watch?v=HFwpmtA_QbE 180 plus live viewers
84 Searching for Close Relatives with Your DNA Results Mckell Keeney (live) https://www.familysearch.org/rootstech/session/searching-for-close-relatives-with-your-dna-results Not yet available
85 Top Ten Reasons To DNA Test For Family History Michelle Leonard https://www.youtube.com/watch?v=1B9hEeu_dic 181
86 Top Tips For Identifying DNA Matches Michelle Leonard https://www.youtube.com/watch?v=-3Oay_btNAI 306
87 Maximising Messages Michelle Patient https://www.youtube.com/watch?v=4TRmn0qzHik 442
88 How to Filter and Sort Your DNA Matches MyHeritage https://www.youtube.com/watch?v=fmIgamFDvc8 88
89 How to Get Started with Your DNA Matches MyHeritage https://www.youtube.com/watch?v=JPOzhTxhU0E 447

 
90 How to Track DNA Kits in MyHeritage` MyHeritage https://www.youtube.com/watch?v=2W0zBbkBJ5w 28

 
91 How to Upload Your DNA Data to MyHeritage MyHeritage https://www.youtube.com/watch?v=nJ4RoZOQafY 82
92 How to Use Genetic Groups MyHeritage https://www.youtube.com/watch?v=PtDAUHN-3-4 62
My Story: Hope MyHeritage https://www.youtube.com/watch?v=qjyggKZEXYA 133
93 MyHeritage Keynote, RootsTech 2022 MyHeritage https://www.familysearch.org/rootstech/session/myheritage-keynote-rootstech-2022 Not available
94 Using Labels to Name Your DNA Match List MyHeritage https://www.youtube.com/watch?v=enJjdw1xlsk 139

 
95 An Introduction to DNA on MyHeritage MyHeritage – Daniel Horowitz https://www.youtube.com/watch?v=1I6LHezMkgc 60
96 Using MyHeritage’s Advanced DNA Tools to Shed Light on Your DNA Matches MyHeritage – Daniel Horowitz https://www.youtube.com/watch?v=Pez46Xw20b4 110
97 You’ve Got DNA Matches! Now What? MyHeritage – Daniel Horowitz https://www.youtube.com/watch?v=gl3UVksA-2E 260
98 My Story: Lizzie and Ayla MyHeritage – Elizbeth Shaltz https://www.youtube.com/watch?v=NQv6C8G39Kw 147
99 My Story: Fernando and Iwen MyHeritage – Fernando Hermansson https://www.youtube.com/watch?v=98-AR0M7fFE 165

 
100 Using the Autocluster and the Chromosome Browser to Explore Your DNA Matches MyHeritage – Gal Zruhen https://www.youtube.com/watch?v=a7aQbfP7lWU 115

 
101 My Story : Kara Ashby Utah Wedding MyHeritage – Kara Ashby https://www.youtube.com/watch?v=Qbr_gg1sDRo 200
102 When Harry Met Dotty – using DNA to break down brick walls Nick David Barratt https://www.youtube.com/watch?v=8SdnLuwWpJs 679
103 How to Add a DNA Match to Airtable Nicole Dyer https://www.youtube.com/watch?v=oKxizWIOKC0 161
104 How to Download DNA Match Lists with DNAGedcom Client Nicole Dyer https://www.youtube.com/watch?v=t9zTWnwl98E 124
105 How to Know if a Matching DNA Segment is Maternal or Paternal Nicole Dyer https://www.youtube.com/watch?v=-zd5iat7pmg 161
106 DNA Basics Part I Centimorgans and Family Relationships Origins International, Inc. dba Origins Genealogy https://www.youtube.com/watch?v=SI1yUdnSpHA 372
107 DNA Basics Part II Clustering and Connecting Your DNA Matches Origins International, Inc. dba Origins Genealogy https://www.youtube.com/watch?v=ECs4a1hwGcs 333
108 DNA Basics Part III Charting Your DNA Matches to Get Answers Origins International, Inc. dba Origins Genealogy https://www.youtube.com/watch?v=qzybjN0JBGY 270
109 2. Using Cluster Auto Painter Patricia Coleman https://www.youtube.com/watch?v=-nfLixwxKN4 691
110 3. Using Online Irish Records Patricia Coleman https://www.youtube.com/watch?v=mZsB0l4z4os 802
111 Exploring Different Types of Clusters Patricia Coleman https://www.youtube.com/watch?v=eEZBFPC8aL4 972

 
112 The Million Mito Project: Growing the Family Tree of Womankind Paul Maier https://www.youtube.com/watch?v=cpctoeKb0Kw 541
113 The Tree of Mankind Age Estimates Paul Maier https://www.youtube.com/watch?v=jjkL8PWAEwk 1638
114 Y-DNA and Mitochondrial DNA Testing Plans Paul Woodbury https://www.youtube.com/watch?v=akymSm0QKaY 168
115 Finding Biological Family Price Genealogy https://www.youtube.com/watch?v=4xh-r3hZ6Hw 137
116 What Y-DNA Testing Can Do for You Richard Hill https://www.youtube.com/watch?v=a094YhIY4HU 191
117 Extending Time Horizons with DNA Rob Spencer (live) https://www.youtube.com/watch?v=wppXD1Zz2sQ 1037 + live viewers
118 DNA for Native American Ancestry by Roberta Estes Roberta Estes https://www.youtube.com/watch?v=EbNyXCFfp4M 212
119 1. Associating Autosomal DNA Segments With Ancestors Roberta Estes (live) https://www.youtube.com/watch?v=_IHSCkNnX48

 

 ~9000: 1019 + 500 live viewers + 7,400+ Facebook
120 1. What Can I Do With Ancestral DNA Segments? Roberta Estes (live) https://www.youtube.com/watch?v=Suv3l4iZYAQ 325 plus live viewers

 
121 Native American DNA – Ancient and Contemporary Maps Roberta Estes (live) https://www.youtube.com/watch?v=dFTl2vXUz_0 212 plus 483 live viewers

 
122 How Can DNA Enhance My Family History Research? Robin Wirthlin https://www.youtube.com/watch?v=f3KKW-U2P6w 102
123 How to Analyze a DNA Match Robin Wirthlin https://www.youtube.com/watch?v=LTL8NbpROwM 367
124 1. Jewish Ethnicity & DNA: History, Migration, Genetics Schelly Talalay Dardashti https://www.youtube.com/watch?v=AIJyphGEZTA 82

 
125 2. Jewish Ethnicity & DNA: History, Migration, Genetics Schelly Talalay Dardashti https://www.youtube.com/watch?v=VM3MCYM0hkI 72
126 Ask us about DNA Talking Family History (live) https://www.youtube.com/watch?v=kv_RfR6OPpU 96 plus live viewers
127 1. An Introduction to Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=WNhErW5UVKU

 

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128 2. An Introduction to Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=CRpQ8EVOShI 110

 
129 Common Problems When Doing Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=hzFxtBS5a8Y 68
130 Cross Visual Phasing to Go Back Another Generation Tanner Blair Tolman https://www.youtube.com/watch?v=MrrMqhfiwbs 64
131 DNA Basics Tanner Blair Tolman https://www.youtube.com/watch?v=OCMUz-kXNZc 155
132 DNA Painter and Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=2-eh1L4wOmQ 155
133 DNA Painter Part 2: Chromosome Mapping Tanner Blair Tolman https://www.youtube.com/watch?v=zgOJDRG7hJc 172
134 DNA Painter Part 3: The Inferred Segment Generator Tanner Blair Tolman https://www.youtube.com/watch?v=96ai8nM4lzo

 

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135 DNA Painter Part 4: The Distinct Segment Generator Tanner Blair Tolman https://www.youtube.com/watch?v=Pu-WIEQ_8vc 83
136 DNA Painter Part 5: Ancestral Trees Tanner Blair Tolman https://www.youtube.com/watch?v=dkYDeFLduKA 73
137 Understanding Your DNA Ethnicity Results Tanner Blair Tolman https://www.youtube.com/watch?v=4tAd8jK6Bgw 518
138 What’s New at GEDmatch Tim Janzen https://www.youtube.com/watch?v=AjA59BG_cF4

 

 515
139 What Does it Mean to Have Neanderthal Ancestry? Ugo Perego https://www.youtube.com/watch?v=DshCKDW07so 190
140 Big Y-700 Your DNA Guide https://www.youtube.com/watch?v=rIFC69qswiA 143
141 Next Steps with Your DNA Your DNA Guide – Diahan Southard (live) https://www.familysearch.org/rootstech/session/next-steps-with-your-dna Not yet available

Additions:

142  Adventures of an Amateur Genetic Genealogist – Geoff Nelson https://www.familysearch.org/rootstech/session/adventures-of-an-amateur-genetic-genealogist     291 views

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AutoKinship at GEDmatch by Genetic Affairs

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25

Genetic Affairs has created a new version of AutoKinship at GEDmatch. The new AutoKinship report adds new features, allows for more kits to be included in the analysis, and integrates multiple reports together:

  • AutoCluster – the autoclusters we all know and love
  • AutoSegment – clusters based on segments
  • AutoTree – reconstructed tree based on GEDCOM files of you and your matches, even if you don’t have a tree
  • AutoKinship – the original AutoKinship report provided genetic trees. The new AutoKinship report includes AutoTree, combines both, and adds features called AutoKinship Tree. (Trust me on this one – you’ll see in a minute!)
  • Matches
    • Common Ancestors with your ancestors
    • Common Ancestors between matches, even if they don’t match your tree
    • Common Locations

Maybe the best news is that some reports provide automatic triangulation because, at GEDmatch, it’s possible to not only see how you match multiple people, but also if those people match each other on that same segment. Of course, triangulation requires three-way matching in addition to the identification of common ancestors which is part of what AutoKinship provides, in multiple ways.

Let’s step through the included reports and features one at a time, using my clusters as an example.

Order Your Report

As a Tier 1 GEDmatch customer, sign in, select AutoKinship and order your report.

Note that there are now two clustering settings, the default setting and one that will provide more dense clusters. The last setting is the default setting for AutoKinship, since it has been shown to produce better AutoKinship results.

You can also select the number of kits to consider. Since this tool is free with a GEDmatch Tier 1 subscription, you can start small and rerun if you wish, as often as you wish.

Currently, a maximum of 500 matches can be included, but that will be increased to 1000 in the future. Your top 500 matches will be included that fall within the cM matching parameters specified.

I’m leaving this at the maximum 400 cM threshold, so every match below that is included. I generally leave this default threshold because otherwise my closest matches will be in a huge number of clusters which may cause processing issues.

For a special use case where you will want to increase the cM threshold, see the Special Use Cases section near the end of this article.

You can select a low number of matches, like 25 or 50 which is particularly useful if you want to examine the closest matches of a kit without a tree.

Keep in mind that there is currently a maximum processing time of 10 minutes allowed per report. This means that if you have large clusters, which are the last ones processed, you may not have AutoKinship results for those clusters.

This also means that if you select a high cM threshold and include all 500 allowable matches, you will receive the report but the AutoKinship results may not be complete.

When finished, your report will be delivered to you as a download link with an attached zipped file which you will need to save someplace where you can find it.

Unzip

If you’re a PC user, you’ll need to unzip or extract the files before you can use the files. You’ll see the zipper on the file.

If you don’t extract the contents, you can click on the file to open which will display a list of the files, so it looks like the files are extracted, but they aren’t.

You can see that the file is still zipped.

You can click on the html file which will display the AutoCluster correctly too, but when you click on any other link within that file, you’ll receive this error message if the file is still zipped.

If this happens to you, it means the file is still zipped. Close the files you have open, right click on the yellow zipped file folder and “extract all.”

Then click on the HTML link again and everything should work.

Ok, on to the fun part – the tools.

Tools

I’ve written about most of these tools individually before, except for the new combinations of course. I’ve put all of the Genetic Affairs Tools, Instructions and Resources in one article that you can find here.

I recommend that you take a look to be sure you’re using each tool to its greatest advantage.

AutoCluster

Click on the html file and watch your AutoCluster fly into place. I always, always love this part.

The first thing I noticed about my AutoCluster at GEDmatch is that it’s HUGE! I have a total of 144 clusters and that’s just amazing!

Information about the cluster file, including the number of matches, maximum and minimum cM used for the report, and minimum cluster size appears beneath your cluster chart.

22 people met the criteria but didn’t have other matches that did, so they are listed for my review, but not included in the cluster chart.

At first glance, the clusters look small, but don’t despair, they really aren’t.

My clusters only look small because the tool was VERY successful, and I have many matches in my clusters. The chart has to be scaled to be able to display on a computer monitor.

New Layout

Genetic Affairs has introduced a new layout for the various included tools.

Each section opens to provide a brief description of the tool and what is occurring. This new tool includes four previous tools plus a new one, AutoCluster Tree, as follows:

AutoCluster

AutoCluster first organizes your DNA matches into shared match clusters that likely represent branches of your family. Everyone in a cluster will likely be on the same ancestral line, although the MRCA between any of the matches and between you and any match may vary. The generational level of the clusters may vary as well. One may be your paternal grandmother’s branch, another may be your paternal grandfather’s father’s branch.

AutoSegment

AutoSegment organizes your matches based on triangulating segments. AutoSegment employs the positional information of segments (chromosome and start and stop position) to identify overlapping segments in order to link DNA matches. In addition, triangulated data is used to collaborate these links. Using the user defined minimum overlap of a DNA segment we perform a clustering of overlapping DNA segments to identify segment clusters. The overlap is calculated in centimorgans using human genetic recombination maps. Another aspect of overlapping segments is the fact that some regions of our genome seem to have more matches as compared to the other regions. These so-called pile-up areas can influence the clustering. The removal of known pile-up regions based on the paper of Li et al 2014 is optional and is not performed for this analysis However, a pileup report is provided that allows you to examine your genome for pileup regions.

AutoTree

By comparing the tree of the tested person and the trees from the members of a certain cluster, we can identify ancestors that are common amongst those trees. First, we collect the surnames that are present in the trees and create a network using the similarity between surnames. Next, we perform a clustering on this network to identify clusters of similar surnames. A similar clustering is performed based on a network using the first names of members of each surname cluster. Our last clustering uses the birth and death years of members of a cluster to find similar persons. As a consequence, initially large clusters (based on the surnames) are divided up into smaller clusters using the first name and birth/death year clustering.

AutoKinship

AutoKinship automatically predicts family trees based on the amount of DNA your DNA matches share with you and each other. Note that AutoKinship does not require any known genealogical trees from your DNA matches. Instead, AutoKinship looks at the predicted relationships between your DNA matches, and calculates many different paths you could all be related to each other. The probabilities used by this AutoKinship analysis are based on simulated data for GEDmatch matches and are kindly provided by Brit Nicholson (methodology described here). Based on the shared cM data between shared matches, we create different trees based on the putative relationships. We then use the probabilities to test every scenario which are then ranked.

AutoKinship Tree

Predicted trees from the AutoTree analysis are based on genealogical trees shared by the DNA matches and, if available, shared by the tested person. The relationships between DNA matches based on their common ancestors as provided AutoTree are used to perform an AutoKinship analysis and are overlayed on the predicted AutoKinship tree.

AutoKinship Tree is New

AutoKinship Tree is the new feature that combines the features of both AutoTree and AutoKinship. You receive:

  • Common ancestors between you and your matches
  • Trees of people who don’t share your common ancestors but share ancestors with each other
  • Combined with relationship predictions and
  • A segment analysis

Of course, the relative success of the tree tools depends upon how many people have uploaded GEDCOM files.

Big hint, if you haven’t uploaded your family tree, do so now. If you are an adoptee or searching for a parent and don’t know who your ancestors are, AutoKinship Tree does its best without your tree information, and you will still benefit from the trees of others combined with predicted relationships based on DNA.

It’s easier to show you than to tell you, so let’s step through my results one section at a time.

I’m going to be using cluster 5 which has 32 members and cluster 136 which has 8 members. Ironically, cluster 136 is a much more useful cluster, with 8 good matches, than cluster 5 which includes 32 people.

Results of the AutoKinship Analyses

As you scroll down your results, you’ll see a grid beneath the Explanation area.

It’s easy to see which cluster received results for each tool. My cluster 5 has results in each category, along with surnames. (Notice that you can search for surnames which displays only the clusters that contain that surname.)

I can click on each icon to see what’s there waiting for me.

Additionally, you can click at the top on the blue middle “here” for an overview of all common ancestors. Who can resist that, right?

Click on the ancestor’s name or the tree link to view more information.

You can also view common locations too by clicking on the blue “here” at far right. A location, all by itself, is a HUGE hint.

Clicking on the tree link shows you the tree of the tester with ancestors at that location. I had several others from North Carolina, generally, and other locations specifically. Let’s take a look at a few examples.

Common Ancestor Clusters

Click on the first blue link to view all common ancestors.

Common Ancestor Clusters summarize all of the clusters by ancestor. In other words, if any of your matches have ancestors in common in their tree, they are listed here.

These clusters include NOT just the people who share ancestors in a tree with you, but who also share known ancestors with each other BUT NOT YOU. That may be incredibly important when you are trying to identify your ancestors – as in brick walls. Your ancestors may be their ancestors too, or your common segments might lead to your common ancestors if you complete their tree.

There are other important hints too.

In my case, above, Jacob Lentz is my known ancestor.

However, Sarah Barron is not my ancestor, nor is John Vincent Dodson. They are the descendants of my Dodson ancestor though. I recognized that surname and those people. In other instances, recognizing a common geography may be your clue for figuring out how you connect.

In the cluster column at left, you can see the cluster number in which these people are found.

Common Locations Table

Clicking on the second link provides a Common Location Table

Some locations are general, like a state, and others are town, county or even village names. Whatever people have included in their GEDCOM files that can be connected.

Looking at this first entry, I recognize some of the ancestral surnames of Karen’s ancestors. The fact that we are found in the same cluster and share DNA indicates a common ancestor someplace.

Check for this same person in additional locations, then, look at their tree.

Ok, back to the AutoKinship Analysis Table and Cluster 136.

Cluster 136

I’m going to use Cluster 136 as an example because this cluster has generated great reports using all of the tools, indicated by the icon under each column heading. Some clusters won’t have enough information for everything so the tools generate as much as possible.

Scrolling down to Cluster 136 in the AutoCluster Information report, just beneath the list of clusters, I can see my 8 matches in that cluster.

Of course, I can click on the links for specific information, or contact them via email. At the end of this article in the “Tell Me Everything” section, I’ll provide a way to retrieve as much information as possible about any one match. For now, let’s move to the AutoTree.

Cluster 136 AutoTree

Clicking on the icon under AutoTree shows me how two of the matches in this cluster are related to each other and myself.

Note that the centimorgan badges listed refer to the number of cM that I share with each of these people, not how much they share with each other.

Click on any of the people to see additional information.

When I click on J Lentz m F Moselman, a popup box shows me how this couple is related to me and my matches.

Of course, you can also view the Y DNA or mitochondrial DNA haplogroups if the testers have provided that information when they set up their GEDmatch profile information.

Just click on the little icons.

If the testers have not provided that information, you can always check at FamilyTreeDNA or 23andMe, if they have tested at either of those vendors, to view their haplogroup information.

Today, GEDmatch kit numbers are assigned randomly, but in the early days, before Genesis, the leading letter of A meant AncestryDNA, F or T for FamilyTreeDNA, M for 23andMe and H for MyHeritage. If the kit number is something else, perform a one-to-one or a one-to-many report which will display the source of their DNA file.

The small number, 136 in this case, beside the cM number indicates the cluster or clusters that these people are members of. Some people are members of multiple clusters

Let’s see what’s next.

Cluster 136 Common Ancestors

Clicking on the Ancestors icon provides a report that shows all of the Ancestor Clusters in cluster 136.

The difference between this ancestor chart and the larger chart is that this only shows ancestors for cluster 136, while the larger chart shows ancestors for the entire AutoCluster report.

Cluster 136 Locations

All of the locations shown are included in trees of people who cluster together in cluster 136. Of course, this does NOT mean that these locations are all relevant to cluster 136. However, finding my own tree listed might provide an important clue.

Using the location tool, I discover 5 separate location clusters. This location cluster includes me with each tester’s ancestors who are found in Montgomery County, Ohio.

The difference between this chart for cluster 136 only and the larger location chart is that every location in this chart is relevant for people who all cluster together meaning we all share some ancestral line.

Viewing the trees of other people in the cluster may suggest ancestors or locations that are essential for breaking down brick walls.

Cluster 136 AutoKinship

Clicking on the anchor in the AutoKinship column provides a genetically reconstructed tree based on how closely each of the people match me, and each other. Clearly, in order to be able to provide this prediction, information about how your matches also match each other, or don’t, is required.

Again, the cM amount shown is the cM match with me, not with each other. However, if you click on a match, a popup will be shown that shows the shared cM between that person and the other matches as well as the relationship prediction between them in this tree

So, Bill matches David with a total of 354.3 cM and they are positioned as first cousins once removed in this tree. The probability of the match being a 1C1R (first cousin once removed) is 64.9%, meaning of course that other relationships are possible.

Note that Bill and David ALSO share a segment with me in autosegment cluster 185, on chromosome 3.

It’s important to note that while 136 is the autocluster number, meaning that colored block on the report, WITHIN clusters, autosegment clusters are formed and numbered. 

Each autosegment cluster receives its own number and the numbers are for the entire report. You will have more autosegment clusters than autoclusters, because at least some of the colorful autoclusters will contain more than one segment cluster.

Remember, autoclusters are those colorful boxes of matches that fly into place. Autosegment clusters are the matching triangulated clusters on chromosomes and they are represented by the blue bars, shown below.

AutoCluster 136 contains 5 different autosegment clusters, but Bill is only included in one of those autosegment clusters.

You’ll notice that there are some people, like Robin at the bottom, who do match some other people in the cluster, but either not enough people, or not enough overlapping DNA to be included as an autocluster member.

The small colored chromosomes with numbers, boxed in red, indicate the chromosome on which this person matches me.

If you click on that chromosome icon, you’ll see a popup detailing everyone who matches me on that segment.

Note that in some cases a member of a segment cluster, like Robin, did not make it in the AutoCluster cluster. You can spot these occurrences by scrolling down and looking at the cluster column which will then be empty for that particular match.

Reconstructed AutoKinship Trees in Most Likely Order

Scrolling down the page, next we see that we have multiple possible trees to view. We are shown the most likely tree first.

Tree likelihood is constructed based on the combined probability of my matching cM to an individual plus their likely relationship to each other based on the amount of DNA they share with each other as well.

In my case, all of the first 8 trees are equally as likely to be accurate, based on autosomal genetic relationships only. The ninth tree is only very slightly less likely to be accurate.

The X chromosome is not utilized separately in this analysis, nor are Y or mitochondrial DNA haplogroups if provided.

DNA Relationship Matrix

Continuing to scroll down, we next see the DNA matrix that shows relationships for cluster 5 in a grid format. Click on “Download Relationship Matrix” to view in a spreadsheet.

Keep scrolling for the next view which is the Individual Segment Cluster Information

Individual Segment Cluster Information

Remember that we are still focused on only one cluster – in this case, cluster 136. Each cluster contains people who all match at least some subset of other people in the cluster. Some people will match each other and the tested person on the same chromosome segment, and some won’t. What we generally see within clusters are “subclusters” of people who match each other on different chromosomes and segments. Also, some matches from cluster 136 might match other people but those matches might not be a member of cluster 136.

In autocluster 136, I have 14 DNA segments that converge into 5 segment clusters with my matches. Here’s segment cluster 185 that consists of two people in addition to me. Note that for individuals to be included in these segment clusters at GEDmatch, they must triangulate with people in the same segment cluster.

From left to right, we see the following information:

  • AutoCluster number 136, shown below

  • Segment cluster 185. This is a segment cluster within autocluster 136.

  • Segment cluster 185 occurs on chromosome 3, between the designated start and stop locations.
  • The segment representation shows the overlapping portions of the two matches, to me. You can easily see that they overlap almost exactly with each other as well.
  • The SNP count is shown, followed by the name and cM count.

Cluster 136 AutoKinship Tree

The AutoKinship Tree column is different from the AutoKinship column in one fundamental way. The new AutoKinship Tree feature combines the genealogical AutoTree and the genetic AutoKinship output together in one report.

You can see that the “prior” genealogical tree information that one of my matches also descends from Jacob Lentz (and wife, if you click further) has now been included. The matches without trees have been reconstructed around the known genealogy based on how they match me and each other.

I was already aware of how I’m related to Bill, David, *C and *R, but I don’t know how I am related to these other people. Based on their kit identifier, I can go to the vendor where they tested and utilize tools there, and I can check to see if they have uploaded their DNA files elsewhere to discover additional records information or critical matches. Now at least I know where in the tree to search.

Cluster 136 AutoSegment

Clicking on AutoSegment provides you with segment information. Each cluster is painted on your chromosomes.

By hovering over the darkly colored segments, which are segment clusters, you can view who you match, although to view multiple matches, continue scrolling.

In the next section, you’ll see the two segment clusters contained wholly within cluster 136.

Following that is the same information for segment clusters partially linked to cluster 136, but not contained wholly within 136.

Bonus – Tell Me Everything – Individual Match Clusters

We’ve focused specifically on the AutoKinship tools, but if you’re interested in “everything” about one specific match, you can approach things from that perspective too. I often look at a cluster, then focus on individuals, beginning with those I can identify which focuses my search.

If you click on any person in your match list, you’ll receive a report focusing on that person in your autocluster.

Let’s use cousin Bill as an example. I know how he’s related to me.

You can choose to display your chosen cluster by:

  • Cluster
  • Number of shared matches
  • Shared cM with the tester
  • Name

I would suggest experimenting with all of the options and see which one displays information that is most useful to the question you’re trying to answer.

Beneath the cluster for Bill, you’ll see the relevant information about the cluster itself. Bill has cluster matches on two different chromosomes.

The AutoCluster Cluster member Information report shows you how much DNA each cluster member shares with the tested person, which is me, and with each other cluster member. It’s easy to see at a glance who Bill is most closely related to by the number of cMs shared.

Only one of Bill’s chromosomes, #3, is included in clusters, but this tells me immediately that this/these segments on chromosome 3 triangulate between me, Bill, and at least one other person.

Segments shown in orange (chromosome 22) match me, but are not included in a cluster.

Special Use Cases – Unknown People

For adoptees and people trying to figure out how they are related to closer relatives, especially those without a tree, this new combined AutoKinship tool is wonderful.

400 cM is the upper default limit when running the report, meaning that close family members will not be included because they would be included in many clusters. However, you can make a different selection. If you’re trying to determine how several closely related people intersect, select a high threshold to include everyone.

Select a lower number of matches, like 25 or 50.

In this example, ‘no limit” was selected as the upper total match threshold and 25 closest matches.

AutoKinship then constructs a genetic tree and tells you which trees are possible and most likely. If some people do have trees, that common ancestor information would be included as well.

Note that when matches occur over the 400 cM threshold, there will be too many common chromosome matches so the chromosome numbers are omitted. Just check the other reports.

This tool would have helped a great deal with a recent close match who didn’t know how they are related to my family.

You can see this methodology in action and judge its accuracy by reconstructing your own family, assuming some of your known family members have uploaded to GEDmatch. Try it out.

It’s a Lot!

I know there’s a lot here to absorb, but take your time and refer back to this article as needed.

This flexible new tool combines DNA matching, genealogy trees, genetic trees, locations, autoclusters, a chromosome browser, and triangulation. It took me a few passes and working with different clusters to understand and absorb the information that is being provided.

For people who don’t know who their parents or close relatives are, these tools are amazing. Not only can they determine who they are related to, and who is related to each other, but with the use of trees, they can view common ancestors which provides possible ancestors for them too.

For people painting their triangulated segments at DNAPainter, AutoKinship provides triangulation groups that can be automatically painted using the Cluster Auto Painter, here, plus helps to identify that common ancestor. You can read more about DNAPainter, here.

For people seeking to break down brick walls, AutoKinship Tree provides assistance by providing tree matching between your matches for common ancestors NOT IN YOUR TREE, but that ARE in theirs. Your brick walls are clearly not (yet) identified in your tree, although that’s our fervent hope, right?

Even if your matches’ trees don’t go far enough back, as a genealogist, you can extend those trees further to hopefully reveal a previously unknown common ancestor.

The Best Things You Can Do

Aside from DNA testing, the three best things you can do to help yourself, and your clusters are:

  • Upload your GEDCOM file, complete with locations, so you have readily available trees. Ask your matches to do so as well. Trees help you and others too.
  • Encourage people you match at Ancestry who provides no chromosome segment information or chromosome browser to upload a copy of their DNA files and tree.
  • Test your family members and cousins, and encourage them to upload their DNA and their trees. Offer to assist them. You can find step-by-step download/upload instructions here.

Have fun!

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Genetic Genealogy at 20 Years: Where Have We Been, Where Are We Going and What’s Important?

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Not only have we put 2020 in the rear-view mirror, thankfully, we’re at the 20-year, two-decade milestone. The point at which genetics was first added to the toolbox of genealogists.

It seems both like yesterday and forever ago. And yes, I’ve been here the whole time,  as a spectator, researcher, and active participant.

Let’s put this in perspective. On New Year’s Eve, right at midnight, in 2005, I was able to score kit number 50,000 at Family Tree DNA. I remember this because it seemed like such a bizarre thing to be doing at midnight on New Year’s Eve. But hey, we genealogists are what we are.

I knew that momentous kit number which seemed just HUGE at the time was on the threshold of being sold, because I had inadvertently purchased kit 49,997 a few minutes earlier.

Somehow kit 50,000 seemed like such a huge milestone, a landmark – so I quickly bought kits, 49,998, 49,999, and then…would I get it…YES…kit 50,000. Score!

That meant that in the 5 years FamilyTreeDNA had been in business, they had sold on an average of 10,000 kits per year, or 27 kits a day. Today, that’s a rounding error. Then it was momentous!

In reality, the sales were ramping up quickly, because very few kits were sold in 2000, and roughly 20,000 kits had been sold in 2005 alone. I know this because I purchased kit 28,429 during the holiday sale a year earlier.

Of course, I had no idea who I’d test with that momentous New Year’s Eve Y DNA kit, but I assuredly would find someone. A few months later, I embarked on a road trip to visit an elderly family member with that kit in tow. Thank goodness I did, and they agreed and swabbed on the spot, because they are gone today and with them, the story of the Y line and autosomal DNA of their branch.

In the past two decades, almost an entire generation has slipped away, and with them, an entire genealogical library held in their DNA.

Today, more than 40 million people have tested with the four major DNA testing companies, although we don’t know exactly how many.

Lots of people have had more time to focus on genealogy in 2020, so let’s take a look at what’s important? What’s going on and what matters beyond this month or year?

How has this industry changed in the last two decades, and where it is going?

Reflection

This seems like a good point to reflect a bit.

Professor Dan Bradley reflecting on early genetic research techniques in his lab at the Smurfit Institute of Genetics at Trinity College in Dublin. Photo by Roberta Estes

In the beginning – twenty years ago, there were two companies who stuck their toes in the consumer DNA testing water – Oxford Ancestors and Family Tree DNA. About the same time, Sorenson Genomics and GeneTree were also entering that space, although Sorenson was a nonprofit. Today, of those, only FamilyTreeDNA remains, having adapted with the changing times – adding more products, testing, and sophistication.

Bryan Sykes who founded Oxford Ancestors announced in 2018 that he was retiring to live abroad and subsequently passed away in 2020. The website still exists, but the company has announced that they have ceased sales and the database will remain open until Sept 30, 2021.

James Sorenson died in 2008 and the assets of Sorenson Molecular Genealogy Foundation, including the Sorenson database, were sold to Ancestry in 2012. Eventually, Ancestry removed the public database in 2015.

Ancestry dabbled in Y and mtDNA for a while, too, destroying that database in 2014.

Other companies, too many to remember or mention, have come and gone as well. Some of the various company names have been recycled or purchased, but aren’t the same companies today.

In the DNA space, it was keep up, change, die or be sold. Of course, there was the small matter of being able to sell enough DNA kits to make enough money to stay in business at all. DNA processing equipment and a lab are expensive. Not just the equipment, but also the expertise.

The Next Wave

As time moved forward, new players entered the landscape, comprising the “Big 4” testing companies that constitute the ponds where genealogists fish today.

23andMe was the first to introduce autosomal DNA testing and matching. Their goal and focus was always medical genetics, but they recognized the potential in genealogists before anyone else, and we flocked to purchase tests.

Ancestry settled on autosomal only and relies on the size of their database, a large body of genealogy subscribers, and a widespread “feel-good” marketing campaign to sell DNA kits as the gateway to “discover who you are.”

FamilyTreeDNA did and still does offer all 3 kinds of tests. Over the years, they have enhanced both the Y DNA and mitochondrial product offerings significantly and are still known as “the science company.” They are the only company to offer the full range of Y DNA tests, including their flagship Big Y-700, full sequence mitochondrial testing along with matching for both products. Their autosomal product is called Family Finder.

MyHeritage entered the DNA testing space a few years after the others as the dark horse that few expected to be successful – but they fooled everyone. They have acquired companies and partnered along the way which allowed them to add customers (Promethease) and tools (such as AutoCluster by Genetic Affairs), boosting their number of users. Of course, MyHeritage also offers users a records research subscription service that you can try for free.

In summary:

One of the wonderful things that happened was that some vendors began to accept compatible raw DNA autosomal data transfer files from other vendors. Today, FamilyTreeDNA, MyHeritage, and GEDmatch DO accept transfer files, while Ancestry and 23andMe do not.

The transfers and matching are free, but there are either minimal unlock or subscription plans for advanced features.

There are other testing companies, some with niche markets and others not so reputable. For this article, I’m focusing on the primary DNA testing companies that are useful for genealogy and mainstream companion third-party tools that complement and enhance those services.

The Single Biggest Change

As I look back, the single biggest change is that genetic genealogy evolved from the pariah of genealogy where DNA discussion was banned from the (now defunct) Rootsweb lists and summarily deleted for the first few years after introduction. I know, that’s hard to believe today.

Why, you ask?

Reasons varied from “just because” to “DNA is cheating” and then morphed into “because DNA might do terrible things like, maybe, suggest that a person really wasn’t related to an ancestor in a lineage society.”

Bottom line – fear and misunderstanding. Change is exceedingly difficult for humans, and DNA definitely moved the genealogy cheese.

From that awkward beginning, genetic genealogy organically became a “thing,” a specific application of genealogy. There was paper-trail traditional genealogy and then the genetic aspect. Today, for almost everyone, genealogy is “just another tool” in the genealogist’s toolbox, although it does require focused learning, just like any other tool.

DNA isn’t separate anymore, but is now an integral part of the genealogical whole. Having said that, DNA can’t solve all problems or answer all questions, but neither can traditional paper-trail genealogy. Together, each makes the other stronger and solves mysteries that neither can resolve alone.

Synergy.

I fully believe that we have still only scratched the surface of what’s possible.

Inheritance

As we talk about the various types of DNA testing and tools, here’s a quick graphic to remind you of how the different types of DNA are inherited.

  • Y DNA is inherited paternally for males only and informs us of the direct patrilineal (surname) line.
  • Mitochondrial DNA is inherited by everyone from their mothers and informs us of the mother’s matrilineal (mother’s mother’s mother’s) line.
  • Autosomal DNA can be inherited from potentially any ancestor in random but somewhat predictable amounts through both parents. The further back in time, the less identifiable DNA you’ll inherit from any specific ancestor. I wrote about that, here.

What’s Hot and What’s Not

Where should we be focused today and where is this industry going? What tools and articles popped up in 2020 to help further our genealogy addiction? I already published the most popular articles of 2020, here.

This industry started two decades ago with testing a few Y DNA and mitochondrial DNA markers, and we were utterly thrilled at the time. Both tests have advanced significantly and the prices have dropped like a stone. My first mitochondrial DNA test that tested only 400 locations cost more than $800 – back then.

Y DNA and mitochondrial DNA are still critically important to genetic genealogy. Both play unique roles and provide information that cannot be obtained through autosomal DNA testing. Today, relative to Y DNA and mitochondrial DNA, the biggest challenge, ironically, is educating newer genealogists about their potential who have never heard about anything other than autosomal, often ethnicity, testing.

We have to educate in order to overcome the cacophony of “don’t bother because you don’t get as many matches.”

That’s like saying “don’t use the right size wrench because the last one didn’t fit and it’s a bother to reach into the toolbox.” Not to mention that if everyone tested, there would be a lot more matches, but I digress.

If you don’t use the right tool, and all of the tools at your disposal, you’re not going to get the best result possible.

The genealogical proof standard, the gold standard for genealogy research, calls for “a reasonably exhaustive search,” and if you haven’t at least considered if or how Y
DNA and mitochondrial DNA along with autosomal testing can or might help, then your search is not yet exhaustive.

I attempt to obtain the Y and mitochondrial DNA of every ancestral line. In the article, Search Techniques for Y and Mitochondrial DNA Test Candidates, I described several methodologies to find appropriate testing candidates.

Y DNA – 20 Years and Still Critically Important

Y DNA tracks the Y chromosome for males via the patrilineal (surname) line, providing matching and historical migration information.

We started 20 years ago testing 10 STR markers. Today, we begin at 37 markers, can upgrade to 67 or 111, but the preferred test is the Big Y which provides results for 700+ STR markers plus results from the entire gold standard region of the Y chromosome in order to provide the most refined results. This allows genealogists to use STR markers and SNP results together for various aspects of genealogy.

I created a Y DNA resource page, here, in order to provide a repository for Y DNA information and updates in one place. I would encourage anyone who can to order or upgrade to the Big Y-700 test which provides critical lineage information in addition to and beyond traditional STR testing. Additionally, the Big Y-700 test helps build the Y DNA haplotree which is growing by leaps and bounds.

More new SNPs are found and named EVERY SINGLE DAY today at FamilyTreeDNA than were named in the first several years combined. The 2006 SNP tree listed a grand total of 459 SNPs that defined the Y DNA tree at that time, according to the ISOGG Y DNA SNP tree. Goran Rundfeldt, head of R&D at FamilyTreeDNA posted this today:

2020 was an awful year in so many ways, but it was an unprecedented year for human paternal phylogenetic tree reconstruction. The FTDNA Haplotree or Great Tree of Mankind now includes:

– 37,534 branches with 12,696 added since 2019 – 51% growth!
defined by
– 349,097 SNPs with 131,820 added since 2019 – 61% growth!

In just one year, 207,536 SNPs were discovered and assigned FT SNP names. These SNPs will help define new branches and refine existing ones in the future.

The tree is constructed based on high coverage chromosome Y sequences from:
– More than 52,500 Big Y results
– Almost 4,000 NGS results from present-day anonymous men that participated in academic studies

Plus an additional 3,000 ancient DNA results from archaeological remains, of mixed quality and Y chromosome coverage at FamilyTreeDNA.

Wow, just wow.

These three new articles in 2020 will get you started on your Y DNA journey!

Mitochondrial DNA – Matrilineal Line of Humankind is Being Rewritten

The original Oxford Ancestor’s mitochondrial DNA test tested 400 locations. The original Family Tree DNA test tested around 1000 locations. Today, the full sequence mitochondrial DNA test is standard, testing the entire 16,569 locations of the mitochondria.

Mitochondrial DNA tracks your mother’s direct maternal, or matrilineal line. I’ve created a mitochondrial DNA resource page, here that includes easy step-by-step instructions for after you receive your results.

New articles in 2020 included the introduction of The Million Mito Project. 2021 should see the first results – including a paper currently in the works.

The Million Mito Project is rewriting the haplotree of womankind. The current haplotree has expanded substantially since the first handful of haplogroups thanks to thousands upon thousands of testers, but there is so much more information that can be extracted today.

Y and Mitochondrial Resources

If you don’t know of someone in your family to test for Y DNA or mitochondrial DNA for a specific ancestral line, you can always turn to the Y DNA projects at Family Tree DNA by searching here.

The search provides you with a list of projects available for a specific surname along with how many customers with that surname have tested. Looking at the individual Y DNA projects will show the earliest known ancestor of the surname line.

Another resource, WikiTree lists people who have tested for the Y DNA, mitochondrial DNA and autosomal DNA lines of specific ancestors.

Click on images to enlarge

On the left side, my maternal great-grandmother’s profile card, and on the right, my paternal great-great-grandfather. You can see that someone has tested for the mitochondrial DNA of Nora (OK, so it’s me) and the Y DNA of John Estes (definitely not me.)

MitoYDNA, a nonprofit volunteer organization created a comparison tool to replace Ysearch and Mitosearch when they bit the dust thanks to GDPR.

MitoYDNA accepts uploads from different sources and allows uploaders to not only match to each other, but to view the STR values for Y DNA and the mutation locations for the HVR1 and HVR2 regions of mitochondrial DNA. Mags Gaulden, one of the founders, explains in her article, What sets mitoYDNA apart from other DNA Databases?.

If you’ve tested at nonstandard companies, not realizing that they didn’t provide matching, or if you’ve tested at a company like Sorenson, Ancestry, and now Oxford Ancestors that is going out of business, uploading your results to mitoYDNA is a way to preserve your investment. PS – I still recommend testing at FamilyTreeDNA in order to receive detailed results and compare in their large database.

CentiMorgans – The Word of Two Decades

The world of autosomal DNA turns on the centimorgan (cM) measure. What is a centimorgan, exactly? I wrote about that unit of measure in the article Concepts – CentiMorgans, SNPs and Pickin’ Crab.

Fortunately, new tools and techniques make using cMs much easier. The Shared cM Project was updated this year, and the results incorporated into a wonderfully easy tool used to determine potential relationships at DNAPainter based on the number of shared centiMorgans.

Match quality and potential relationships are determined by the number of shared cMs, and the chromosome browser is the best tool to use for those comparisons.

Chromosome Browser – Genetics Tool to View Chromosome Matches

Chromosome browsers allow testers to view their matching cMs of DNA with other testers positioned on their own chromosomes.

My two cousins’ DNA where they match me on chromosomes 1-4, is shown above in blue and red at Family Tree DNA. It’s important to know where you match cousins, because if you match multiple cousins on the same segment, from the same side of your family (maternal or paternal), that’s suggestive of a common ancestor, with a few caveats.

Some people feel that a chromosome browser is an advanced tool, but I think it’s simply standard fare – kind of like driving a car. You need to learn how to drive initially, but after that, you don’t even think about it – you just get in and go. Here’s help learning how to drive that chromosome browser.

Triangulation – Science Plus Group DNA Matching Confirms Genealogy

The next logical step after learning to use a chromosome browser is triangulation. If fact, you’re seeing triangulation above, but don’t even realize it.

The purpose of genetic genealogy is to gather evidence to “prove” ancestral connections to either people or specific ancestors. In autosomal DNA, triangulation occurs when:

  • You match at least two other people (not close relatives)
  • On the same reasonably sized segment of DNA (generally 7 cM or greater)
  • And you can assign that segment to a common ancestor

The same two cousins are shown above, with triangulated segments bracketed at MyHeritage. I’ve identified the common ancestor with those cousins that those matching DNA segments descend from.

MyHeritage’s triangulation tool confirms by bracketing that these cousins also match each other on the same segment, which is the definition of triangulation.

I’ve written a lot about triangulation recently.

If you’d prefer a video, I recorded a “Top Tips” Facebook LIVE with MyHeritage.

Why is Ancestry missing from this list of triangulation articles? Ancestry does not offer a chromosome browser or segment information. Therefore, you can’t triangulate at Ancestry. You can, however, transfer your Ancestry DNA raw data file to either FamilyTreeDNA, MyHeritage, or GEDmatch, all three of which offer triangulation.

Step by step download/upload transfer instructions are found in this article:

Clustering Matches and Correlating Trees

Based on what we’ve seen over the past few years, we can no longer depend on the major vendors to provide all of the tools that genealogists want and need.

Of course, I would encourage you to stay with mainstream products being used by a significant number of community power users. As with anything, there is always someone out there that’s less than honorable.

2020 saw a lot of innovation and new tools introduced. Maybe that’s one good thing resulting from people being cooped up at home.

Third-party tools are making a huge difference in the world of genetic genealogy. My favorites are Genetic Affairs, their AutoCluster tool shown above, DNAPainter and DNAGedcom.

These articles should get you started with clustering.

If you like video resources, here’s a MyHeritage Facebook LIVE that I recorded about how to use AutoClusters:

I created a compiled resource article for your convenience, here:

I have not tried a newer tool, YourDNAFamily, that focuses only on 23andMe results although the creator has been a member of the genetic genealogy community for a long time.

Painting DNA Makes Chromosome Browsers and Triangulation Easy

DNAPainter takes the next step, providing a repository for all of your painted segments. In other words, DNAPainter is both a solution and a methodology for mass triangulation across all of your chromosomes.

Here’s a small group of people who match me on the same maternal segment of chromosome 1, including those two cousins in the chromosome browser and triangulation sections, above. We know that this segment descends from Philip Jacob Miller and his wife because we’ve been able to identify that couple as the most distant ancestor intersection in all of our trees.

It’s very helpful that DNAPainter has added the functionality of painting all of the maternal and paternal bucketed matches from Family Tree DNA.

All you need to do is to link your known matches to your tree in the proper place at FamilyTreeDNA, then they do the rest by using those DNA matches to indicate which of the rest of your matches are maternal and paternal. Instructions, here. You can then export the file and use it at DNAPainter to paint all of those matches on the correct maternal or paternal chromosomes.

Here’s an article providing all of the DNAPainter Instructions and Resources.

DNA Matches Plus Trees Enhance Genealogy

Of course, utilizing DNA matching plus finding common ancestors in trees is one of the primary purposes of genetic genealogy – right?

Vendors have linked the steps of matching DNA with matching ancestors in trees.

Genetic Affairs take this a step further. If you don’t have an ancestor in your tree, but your matches have common ancestors with each other, Genetic Affairs assembles those trees to provide you with those hints. Of course, that common ancestor might not be relevant to your genealogy, but it just might be too!

click to enlarge

This tree does not include me, but two of my matches descend from a common ancestor and that common ancestor between them might be a clue as to why I match both of them.

Ethnicity Continues to be Popular – But Is No Shortcut to Genealogy

Ethnicity is always popular. People want to “do their DNA” and find out where they come from. I understand. I really do. Who doesn’t just want an answer?

Of course, it’s not that simple, but that doesn’t mean it’s not disappointing to people who test for that purpose with high expectations. Hopefully, ethnicity will pique their curiosity and encourage engagement.

All four major vendors rolled out updated ethnicity results or related tools in 2020.

The future for ethnicity, I believe, will be held in integrated tools that allow us to use ethnicity results for genealogy, including being able to paint our ethnicity on our chromosomes as well as perform segment matching by ethnicity.

For example, if I carry an African segment on chromosome 1 from my father, and I match one person from my mother’s side and one from my father’s side on that same segment – one or the other of those people should also have that segment identified as African. That information would inform me as to which match is paternal and which is maternal

Not only that, this feature would help immensely tracking ancestors back in time and identifying their origins.

Will we ever get there? I don’t know. I’m not sure ethnicity is or can be accurate enough. We’ll see.

Transition to Digital and Online

Sometimes the future drags us kicking and screaming from the present.

With the imposed isolation of 2020, conferences quickly moved to an online presence. The genealogy community has all pulled together to make this work. The joke is that 2020’s most used phrase is “can you hear me?” I can vouch for that.

Of course while the year 2020 is over, the problem isn’t and is extending at least through the first half of 2021 and possibly longer. Conferences are planned months, up to a year, in advance and they can’t turn on a dime, so don’t even begin to expect in-person conferences until either late in 2021 or more likely, 2022 if all goes well this year.

I expect the future will eventually return to in-person conferences, but not entirely.

Finding ways to be more inclusive allows people who don’t want to or can’t travel or join in-person to participate.

I’ve recorded several sessions this year, mostly for 2021. Trust me, these could be a comedy, mostly of errors😊

I participated in four MyHeritage Facebook LIVE sessions in 2020 along with some other amazing speakers. This is what “live” events look like today!

Screenshot courtesy MyHeritage

A few days ago, I asked MyHeritage for a list of their LIVE sessions in 2020 and was shocked to learn that there were more than 90 in English, all free, and you can watch them anytime. Here’s the MyHeritage list.

By the way, every single one of the speakers is a volunteer, so say a big thank you to the speakers who make this possible, and to MyHeritage for the resources to make this free for everyone. If you’ve ever tried to coordinate anything like this, it’s anything but easy.

Additonally, I’ve created two Webinars this year for Legacy Family Tree Webinars.

Geoff Rasmussen put together the list of their top webinars for 2020, and I was pleased to see that I made the top 10! I’m sure there are MANY MORE you’d be interested in watching. Personally, I’m going to watch #6 yet today! Also, #9 and #22. You can always watch new webinars for free for a few days, and you can subscribe to watch all webinars, here.

The 2021 list of webinar speakers has been announced here, and while I’m not allowed to talk about something really fun that’s upcoming, let’s just say you definitely have something to look forward to in the springtime!

Also, don’t forget to register for RootsTech Connect which is entirely online and completely free, February 25-27, here.

Thank you to Penny Walters for creating this lovely graphic.

There are literally hundreds of speakers providing sessions in many languages for viewers around the world. I’ve heard the stats, but we can’t share them yet. Let me just say that you will be SHOCKED at the magnitude and reach of this conference. I’m talking dumbstruck!

During one of our zoom calls, one of the organizers says it feels like we’re constructing the plane as we’re flying, and I can confirm his observation – but we are getting it done – together! All hands on deck.

I’ll be presenting an advanced session about triangulation as well as a mini-session in the FamilySearch DNA Resource Center about finding your mother’s ancestors. I’ll share more information as it’s released and I can.

Companies and Owners Come & Go

You probably didn’t even notice some of these 2020 changes. Aside from the death of Bryan Sykes (RIP Bryan,) the big news and the even bigger unknown is the acquisition of Ancestry by Blackstone. Recently the CEO, Margo Georgiadis announced that she was stepping down. The Ancestry Board of Directors has announced an external search for a new CEO. All I can say is that very high on the priority list should be someone who IS a genealogist and who understands how DNA applies to genealogy.

Other changes included:

In the future, as genealogy and DNA testing becomes ever more popular and even more of a commodity, company sales and acquisitions will become more commonplace.

Some Companies Reduced Services and Cut Staff

I understand this too, but it’s painful. The layoffs occurred before Covid, so they didn’t result from Covid-related sales reductions. Let’s hope we see renewed investment after the Covid mess is over.

In a move that may or may not be related to an attempt to cut costs, Ancestry removed 6 and 7 cM matches from their users, freeing up processing resources, hardware, and storage requirements and thereby reducing costs.

I’m not going to beat this dead horse, because Ancestry is clearly not going to move on this issue, nor on that of the much-requested chromosome browser.

Later in the year, 23andMe also removed matches and other features, although, to their credit, they have restored at least part of this functionality and have provided ethnicity updates to V3 and V4 kits which wasn’t initially planned.

It’s also worth noting that early in 2020, 23andMe laid off 100 people as sales declined. Since that time, 23andMe has increasingly pushed consumers to pay to retest on their V5 chip.

About the same time, Ancestry also cut their workforce by about 6%, or about 100 people, also citing a slowdown in the consumer testing market. Ancestry also added a health product.

I’m not sure if we’ve reached market saturation or are simply seeing a leveling off. I wrote about that in DNA Testing Sales Decline: Reason and Reasons.

Of course, the pandemic economy where many people are either unemployed or insecure about their future isn’t helping.

The various companies need some product diversity to survive downturns. 23andMe is focused on medical research with partners who pay 23andMe for the DNA data of customers who opt-in, as does Ancestry.

Both Ancestry and MyHeritage provide subscription services for genealogy records.

FamilyTreeDNA is part of a larger company, GenebyGene whose genetics labs do processing for other companies and medical facilities.

A huge thank you to both MyHeritage and FamilyTreeDNA for NOT reducing services to customers in 2020.

Scientific Research Still Critical & Pushes Frontiers

Now that DNA testing has become a commodity, it’s easy to lose track of the fact that DNA testing is still a scientific endeavor that requires research to continue to move forward.

I’m still passionate about research after 20 years – maybe even more so now because there’s so much promise.

Research bleeds over into the consumer marketplace where products are improved and new features created allowing us to better track and understand our ancestors through their DNA that we and our family members inherit.

Here are a few of the research articles I published in 2020. You might notice a theme here – ancient DNA. What we can learn now due to new processing techniques is absolutely amazing. Labs can share files and information, providing the ability to “reprocess” the data, not the DNA itself, as more information and expertise becomes available.

Of course, in addition to this research, the Million Mito Project team is hard at work rewriting the tree of womankind.

If you’d like to participate, all you need to do is to either purchase a full sequence mitochondrial DNA kit at FamilyTreeDNA, or upgrade to the full sequence if you tested at a lower level previously.

Predictions

Predictions are risky business, but let me give it a shot.

Looking back a year, Covid wasn’t on the radar.

Looking back 5 years, neither Genetic Affairs nor DNAPainter were yet on the scene. DNAAdoption had just been formed in 2014 and DNAGedcom which was born out of DNAAdoption didn’t yet exist.

In other words, the most popular tools today didn’t exist yet.

GEDmatch, founded in 2010 by genealogists for genealogists was 5 years old, but was sold in December 2019 to Verogen.

We were begging Ancestry for a chromosome browser, and while we’ve pretty much given up beating them, because the horse is dead and they can sell DNA kits through ads focused elsewhere, that doesn’t mean genealogists still don’t need/want chromosome and segment based tools. Why, you’d think that Ancestry really doesn’t want us to break through those brick walls. That would be very bizarre, because every brick wall that falls reveals two more ancestors that need to be researched and spurs a frantic flurry of midnight searching. If you’re laughing right now, you know exactly what I mean!

Of course, if Ancestry provided a chromosome browser, it would cost development money for no additional revenue and their customer service reps would have to be able to support it. So from Ancestry’s perspective, there’s no good reason to provide us with that tool when they can sell kits without it. (Sigh.)

I’m not surprised by the management shift at Ancestry, and I wouldn’t be surprised to see several big players go public in the next decade, if not the next five years.

As companies increase in value, the number of private individuals who could afford to purchase the company decreases quickly, leaving private corporations as the only potential buyers, or becoming publicly held. Sometimes, that’s a good thing because investment dollars are infused into new product development.

What we desperately need, and I predict will happen one way or another is a marriage of individual tools and functions that exist separately today, with a dash of innovation. We need tools that will move beyond confirming existing ancestors – and will be able to identify ancestors through our DNA – out beyond each and every brick wall.

If a tester’s DNA matches to multiple people in a group descended from a particular previously unknown couple, and the timing and geography fits as well, that provides genealogical researchers with the hint they need to begin excavating the traditional records, looking for a connection.

In fact, this is exactly what happened with mitochondrial DNA – twice now. A match and a great deal of digging by one extremely persistent cousin resulting in identifying potential parents for a brick-wall ancestor. Autosomal DNA then confirmed that my DNA matched with 59 other individuals who descend from that couple through multiple children.

BUT, we couldn’t confirm those ancestors using autosomal DNA UNTIL WE HAD THE NAMES of the couple. DNA has the potential to reveal those names!

I wrote about that in Mitochondrial DNA Bulldozes Brick Wall and will be discussing it further in my RootsTech presentation.

The Challenge

We have most of the individual technology pieces today to get this done. Of course, the combined technological solution would require significant computing resources and processing power – just at the same time that vendors are desperately trying to pare costs to a minimum.

Some vendors simply aren’t interested, as I’ve already noted.

However, the winner, other than us genealogists, of course, will be the vendor who can either devise solutions or partner with others to create the right mix of tools that will combine matching, triangulation, and trees of your matches to each other, even if you don’t’ share a common ancestor.

We need to follow the DNA past the current end of the branch of our tree.

Each triangulated segment has an individual history that will lead not just to known ancestors, but to their unknown ancestors as well. We have reached critical mass in terms of how many people have tested – and more success would encourage more and more people to test.

There is a genetic path over every single brick wall in our genealogy.

Yes, I know that’s a bold statement. It’s not future Jetson’s flying-cars stuff. It’s doable – but it’s a matter of commitment, investment money, and finding a way to recoup that investment.

I don’t think it’s possible for the one-time purchase of a $39-$99 DNA test, especially when it’s not a loss-leader for something else like a records or data subscription (MyHeritage and Ancestry) or a medical research partnership (Ancestry and 23andMe.)

We’re performing these analysis processes manually and piecemeal today. It’s extremely inefficient and labor-intensive – which is why it often fails. People give up. And the process is painful, even when it does succeed.

This process has also been made increasingly difficult when some vendors block tools that help genealogists by downloading match and ancestral tree information. Before Ancestry closed access, I was creating theories based on common ancestors in my matches trees that weren’t in mine – then testing those theories both genetically (clusters, AutoTrees and ThruLines) and also by digging into traditional records to search for the genetic connection.

For example, I’m desperate to identify the parents of my James Lee Clarkson/Claxton, so I sorted my spreadsheet by surname and began evaluating everyone who had a Clarkson/Claxton in their tree in the 1700s in Virginia or North Carolina. But I can’t do that anymore now, either with a third-party tool or directly at Ancestry. Twenty million DNA kits sold for a minimum of $79 equals more than 1.5 billion dollars. Obviously, the issue here is not a lack of funds.

Including Y and mitochondrial DNA resources in our genetic toolbox not only confirms accuracy but also provides additional hints and clues.

Sometimes we start with Y DNA or mitochondrial DNA, and wind up using autosomal and sometimes the reverse. These are not competing products. It’s not either/or – it’s *and*.

Personally, I don’t expect the vendors to provide this game-changing complex functionality for free. I would be glad to pay for a subscription for top-of-the-line innovation and tools. In what other industry do consumers expect to pay for an item once and receive constant life-long innovations and upgrades? That doesn’t happen with software, phones nor with automobiles. I want vendors to be profitable so that they can invest in new tools that leverage the power of computing for genealogists to solve currently unsolvable problems.

Every single end-of-line ancestor in your tree represents a brick wall you need to overcome.

If you compare the cost of books, library visits, courthouse trips, and other research endeavors that often produce exactly nothing, these types of genetic tools would be both a godsend and an incredible value.

That’s it.

That’s the challenge, a gauntlet of sorts.

Who’s going to pick it up?

I can’t answer that question, but I can say that 23andMe can’t do this without supporting extensive trees, and Ancestry has shown absolutely no inclination to support segment data. You can’t achieve this goal without segment information or without trees.

Among the current players, that leaves two DNA testing companies and a few top-notch third parties as candidates – although – as the past has proven, the future is uncertain, fluid, and everchanging.

It will be interesting to see what I’m writing at the end of 2025, or maybe even at the end of 2021.

Stay tuned.

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Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to 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.

Thank you so much.

DNA Purchases and Free Transfers

Genealogy Products and Services

Genealogy Research

Books

Most Popular Articles of 2020

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We all know that 2020 was a year like no other, right? So, what were we reading this year as we spent more time at home?

According to my blog stats, these are the ten most popular articles of 2020.

2020 Rank Blog Article Name Publication Date/Comment
1 Concepts – Calculating Ethnicity Percentages Jan 11, 2017
2 Proving Native American Ancestry Using DNA December 18, 2012
3 Ancestry to Remove DNA Matches Soon – Preservation Strategies with Detailed Instructions Now obsolete article – July 16, 2020
4 Ancestral DNA Percentages – How Much of Them is in You? June 27, 2017
5 Full or Half Siblings? April 3, 2019
6 442 Ancient Viking Skeletons Hold DNA Surprises – Does Your Y or Mitochondrial DNA Match? September 18, 2020
7 Migration Pedigree Chart March 25, 2016
8 DNA Inherited from Grandparents and Great-Grandparents January 14, 2020
9 Optimizing Your Tree at Ancestry for More Hints and DNA ThruLines February 22, 2020
10 Phylogenetic Tree of Novel Coronavirus (hCoV-19) Covid-19 March 12, 2020

Half of these articles were published this year, and half are older.

One article is now obsolete. The Ancestry purge has already happened, so there’s nothing to be done now.

Let’s take a look at the rest and what messages might be held in these popular selections.

Ethnicity

I’m not the least bit surprised by ethnicity being the most popular topic, nor that Concepts – Calculating Ethnicity Percentages is the most popular article. Not only is ethnicity a perennially favorite, but all four major vendors introduced something new this year.

By the way, my perennial caveat still applies – ethnicity is only an estimate😊

While Genetic Groups isn’t actually ethnicity, per se, it’s a layer on top of ethnicity that provides you with locations where your ancestors might have been from and migrated to, based on genetic clusters. Clusters are defined by the locations of ancestors of other people within that genetic cluster.

There’s actually good news at 23andMe. Since this article was published in October, 23andMe has indeed updated the V3 and V4 kits with new ethnicity updates. 23andMe had originally stated they weren’t going to do that, clearly in the hope that people would pay to retest by purchasing the V5 Health + Ancestry test. I’m so glad to see their reversal.

Viewing the older V2 kits, the “updated” date at the bottom of their Ancestry Composition page says they were updated on December 9th or 10th, but I don’t see a difference and they don’t have the “updated” icon like the V3 and V4 kits do.

23andMe made another reversal too and also restored the original matches. They had reduced the number of matches to 1500 for non-Health+Ancestry testers who don’t also subscribe. If you wanted between 1500 and 5000 matches, you had to retest and subscribe for $29 per year. (It’s worth noting that I have over 5000 matches at all of the other vendors.)

To date, 23andMe has restored previous matches and also restored some but not all of the search functionality that they had removed.

What isn’t clear is whether 23andMe will continue to add to this number of matches until the tester reaches the earlier limit of 2000, or whether they have simply restored the previous matches, but the match total will not increase unless you have a subscription.

Consumer feedback works – so thanks to everyone who provided feedback to 23andMe.

Native American Ancestry

The article, Proving Native American Ancestry Using DNA, written 8 years ago, only 5 months after launching this blog, has been in the top 10 every year since I’ve been counting.

I created a Native American reference and resource page too, which you can find here.

I’ll also be publishing some new articles after the first of the year which I promise you’ll find VERY INTERESTING. Something to look forward to.

Understanding Autosomal DNA

2020 has seen more people delving into genealogy + DNA testing which means they need to understand both the results and the concepts underlying their results.

Whooohooo – more people in the pool. Jump on in – the water’s fine!

The articles Ancestral DNA Percentages – How Much of Them is in You? and DNA Inherited from Grandparents and Great-Grandparents both explain how DNA is passed from your ancestors to you.

These are great basic articles if you’re looking to help someone new, and so is First Steps When Your DNA Results are Ready – Sticking Your Toe in the Genealogy Water.

I always look forward to the end of January because there will be lots of matches from holiday gifts being posted. Feel free to forward any of these articles to your new matches. It’s always fun helping new people because you just never know when they might be able to help you.

Surprises

With more and more people testing, more and more people are receiving “surprises” in their results. Need to figure out the difference between full and half-siblings? Then Full or Half Siblings? is the article for you.

Trying to discern other relationships? My favorite tool is the Shared cM Project tool at DNAPainter, here.

Vikings

Who doesn’t want to know if they are related to the ancient Vikings??? You can make that discovery in the article, 442 Ancient Viking Skeletons Hold DNA Surprises – Does Your Y or Mitochondrial DNA Match?. Not only is this just plain fun, but I snuck in a little education too.

Of course, you’ll need to have your Y DNA or mitochondrial DNA results, which you can easily order, here. If you’re unsure and would like to read a short article about the different kinds of DNA and how they can help you, 4 Kinds of DNA for Genetic Genealogy is perfect.

Do you think your DNA isn’t Viking because your ancestors aren’t from Scandinavia? Guess again!

Those Vikings didn’t stay home, and they didn’t restrict their escapades to the British Isles either.

This drawing depicts Viking ships besieging Paris in the year 845. Vikings voyaged into Russia and as far as the Mediterranean.

Have a child studying at home? This might be an interesting topic!

Migration Pedigree Chart

Another just plain fun idea is the Migration Pedigree Chart.

I created this migration pedigree chart in a spreadsheet, but you can also create a pedigree chart in genealogy software with whatever “names” you want. This will also help you figure out the estimated percentages of ethnicity you might reasonably expect.

Another idea for helping kids learn at home and they might accidentally learn about figuring percentages in the process.

ThruLines

ThruLines is the Ancestry tool that assists DNA testers with trees connect the dots to common ancestors with their matches. There are ways to optimize your tree to improve your connections, both in terms of accuracy and the number of Thrulines that form.

Optimizing Your Tree at Ancestry for More Hints and DNA ThruLines provides step by step instructions, which reminds me – I need to write a similar article for MyHeritage’s Theories of Family Relativity. I keep meaning to…

Covid

You know, it wouldn’t be 2020 if I didn’t HAVE to mention that word.

I’m glad to know that people were and hopefully still are educating themselves about Covid. Phylogenetic Tree of Novel Coronavirus (hCoV-19) Covid-19 reflected early information about the novel virus and our first efforts to sequence the DNA. Of course, as expected, just like any other organism, mutations have occurred since then.

Goodness knows, we are all tired of Covid and the resulting safety protocols. Keep on keeping on. We need you on the other side.

Stay home, mask up when you must leave, stay away from other people outside your family that you live with, wash your hands, and get vaccinated as soon as you can.

And until we can all see each other in person again, hopefully, sooner than later, keep on doing genealogy.

Locked in the Library

Be careful what you ask for.

Remember that dream where you’re locked in a library? Remember saying you don’t have enough time for genealogy?

Well, now you are and now you do.

The library is your desk with your computer or maybe your laptop on a picnic table in the yard.

DNA results, matches, and research tools are the books and you’re officially locked in for at least a few more weeks. Free articles like these are your guide.

Hmmm, pandemic isolation doesn’t sound so bad now, does it??

We’ll just rename it “genealogy library lock-in.”

Happy New Year!

What can you discover?

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Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to 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.

Thank you so much.

DNA Purchases and Free Transfers

Genealogy Products and Services

Genealogy Research

Books

Genetic Affairs: AutoPedigree Combines AutoTree with WATO to Identify Your Potential Tree Locations

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July 2020 Update: Please note that Ancestry issues a cease-and-desist order against Genetic Affairs, and this tool no longer works at Ancestry. The great news is that it still works at the other vendors, and you can ask Ancestry matches to transfer, which is free.

If you’re an adoptee or searching for an unknown parent or ancestor, AutoPedigree is just what you’ve been waiting for.

By now, we’re all familiar with Genetic Affairs who launched in 2018 with their signature autocluster tool. AutoCluster groups your matches into clusters by who your matches match with each other, in addition to you.

browser autocluster

A year later, in December 2019, Genetic Affairs introduced AutoTree, automated tree reconstruction based on your matches trees at Ancestry and Family Finder at Family Tree DNA, even if you don’t have a tree.

Now, Genetic Affairs has introduced AutoPedigree, a combination of the AutoTree reconstruction technology combined with WATO, What Are the Odds, as seen here at DNAPainter. WATO is a statistical probability technique developed by the DNAGeek that allows users to review possible positions in a tree for where they best fit.

Here’s the progressive functionality of how the three Genetic Affairs tools, combined, function:

  • AutoCluster groups people based on if they match you and each other
  • AutoTree finds common ancestors for trees from each cluster
  • Next, AutoTree finds the trees of all matches combined, including from trees of your DNA matches not in clusters
  • AutoPedigree checks to see if a common ancestor tree meets the minimum requirement which is (at least) 3 matches of greater to or equal to 30-40 cM. If yes, an AutoPedigree with hypotheses is created based on the common ancestor of the matching people.
  • Combined AutoPedigrees then reviews all AutoTrees and AutoPedigrees that have common ancestors and combine them into larger trees.

Let’s look at examples, beginning with DNAPainter who first implemented a form of WATO.

DNA Painter

Let’s say you’re trying to figure out how you’re related to a group of people who descend from a specific ancestral couple. This is particularly useful for someone seeking unknown parents or other unknown relationships.

DNA tools are always from the perspective of the tester, the person whose kit is being utilized.

At DNAPainter, you manually create the pedigree chart beginning with a common couple and creating branches to all of their descendants that you match.

This example at DNAPainter shows the matches with their cM amounts in yellow boxes.

xAutoPedigree DNAPainter WATO2

The tester doesn’t know where they fit in this pedigree chart, so they add other known lines and create hypothesis placeholder possibilities in light blue.

In other words, if you’re searching for your mother and you were born in 1970, you know that your mother was likely born between 1925 (if she was 45 when she gave birth to you) and 1955 (if she was 15 when she gave birth to you.) Therefore, in the family you create, you’d search for parents who could have given birth to children during those years and create hypothetical children in those tree locations.

The WATO tool then utilizes the combination of expected cMs at that position to create scores for each hypothesis position based on how closely or distantly you match other members of that extended family.

The Shared cM Project, created and recently updated by Blaine Bettinger is used as the foundation for the expected centimorgan (cM) ranges of each relationship. DNAPainter has automated the possible relationships for any given matching cM amount, here.

In the graphic above, you can see that the best hypothesis is #2 with a score of 1, followed by #4 and #5 with scores of 3 each. Hypothesis 1 has a score of 63.8979 and hypothesis 3 has a score of 383.

You’ll need to scroll to the bottom to determine which of the various hypothesis are the more likely.

Autopedigree DNAPainter calculated probability

Using DNAPainter’s WATO implementation requires you to create the pedigree tree to test the hypothesis. The benefit of this is that you can construct the actual pedigree as known based on genealogical research. The down-side, of course, is that you have to do the research to current in each line to be able to create the pedigree accurately, and that’s a long and sometimes difficult manual process.

Genetic Affairs and WATO

Genetic Affairs takes a different approach to WATO. Genetic Affairs removes the need for hand entry by scanning your matches at Ancestry and Family Tree DNA, automatically creating pedigrees based on your matches’ trees. In addition, Genetic Affairs automatically creates multiple hypotheses. You may need to utilize both approaches, meaning Genetic Affairs and DNAPainter, depending on who has tested, tree completeness at the vendors, and other factors.

The great news is that you can import the Genetic Affairs reconstructed trees into DNAPainter’s WATO tool instead of creating the pedigrees from scratch. Of course, Genetic Affairs can only use the trees someone has entered. You, on the other hand, can create a more complete tree at DNAPainter.

Combining the two tools leverages the unique and best features of both.

Genetic Affairs AutoPedigree Options

Recently, Genetic Affairs released AutoPedigree, their new tool that utilizes the reconstructed AutoTrees+WATO to place the tester in the most likely region or locations in the reconstructed tree.

Let’s take a look at an example. I’m using my own kit to see what kind of results and hypotheses exist for where I fit in the tree reconstructed from my matches and their trees.

If you actually do have a tree, the AutoTree portion will simply be counted as an equal tree to everyone else’s trees, but AutoPedigree will ignore your tree, creating hypotheses as if it doesn’t exist. That’s great for adoptees who may have hypothetical trees in progress, because that tree is disregarded.

First, sign on to your account at Genetic Affairs and select the AutoPedigree option for either Ancestry or Family Tree DNA which reconstructs trees and generates hypotheses automatically. For AutoPedigree construction, you cannot combine the results from Ancestry and FamilyTreeDNA like you can when reconstructing trees alone. You’ll need to do an AutoPedigree run for each vendor. The good news is that while Ancestry has more testers and matches, FamilyTreeDNA has many testers stretching back 20 years or so in the past who passed away before testing became available at Ancestry. Often, their testers reach back a generation or two further. You can easily transfer Ancestry (and other) results to Family Tree DNA for free to obtain more matches – step-by-step instructions here.

At Genetic Affairs, you should also consider including half-relations, especially if you are dealing with an unknown parent situation. Selecting half-relationships generates very large trees, so you might want to do the first run without, then a second run with half relationships selected.

AutoPedigree options

Results

I ran the program and opened the resulting email with the zip file. Saving that file automatically unzips for me, displaying the following 5 files and folders.

Autopedigree cluster

Clicking on the AutoCluster HTML link reveals the now-familiar clusters, shown below.

Autopedigree clusters

I have a total of 26 clusters, only partially shown above. My first peach cluster and my 9th blue cluster are huge.

Autopedigree 26 clusters

That’s great news because it means that I have a lot to work with.

autopedigree folder

Next, you’ll want to click to open your AutoPedigree folder.

For each cluster, you’ll have a corresponding AutoPedigree file if an AutoPedigree can be generated from the trees of the people in that cluster.

My first cluster is simply too large to show successfully in blog format, so I’m selecting a smaller cluster, #21, shown below with the red arrow, with only 6 members. Why so small, you ask? In part, because I want to illustrate the fact that you really don’t need a lot of matches for the AutoPedigree tool to be useful.

Autopedigree multiple clusters

Note also that this entire group of clusters (blue through brown) has members in more than one cluster, indicated by the grey cells that mean someone is a member of at least 2 clusters. That tells me that I need to include the information from those clusters too in my analysis. Fortunately, Genetic Affairs realizes that and provides a combined AutoPedigree tool for that as well, which we will cover later in the article. Just note for now that the blue through brown clusters seem to be related to cluster 21.

Let’s look at cluster 21.

autopedigree cluster 21

In the AutoPedigree folder, you’ll see cluster files when there are trees available to create pedigrees for individual clusters. If you’re lucky, you’ll find 2 files for some clusters.

autopedigree ancestors

At the top of each cluster AutoPedigree file, Genetic Affairs shows you the home couple of the descendant group shown in the matches and their corresponding trees.

Autopedigree WATO chart

Image 1 – click to enlarge

I don’t expect you to be able to read everything in the above pedigree chart, just note the matches and arrows.

You can see three of my cousins who match, labeled with “Ancestry.” You also see branches that generate a viable hypothesis. When generating AutoPedigrees, Genetic Affairs truncates any branches that cannot result in a viable hypothesis for placing the tester in a viable location on the tree, so you may not see all matches.

Autopedigree hyp 1

Image 2 – click to enlarge

On the top branch, you’ll see hyp-1-child1 which is the first hypothesis, with the first child. Their child is hyp-2- child2, and their child is hyp-3-child3. The tester (me, in this case) cannot be the persons shown with red flags, called badges, based on how I match other people and other tree information such as birth and death dates.

Think of a stoplight, red=no, green are your best bets and the rest are yellow, meaning maybe. AutoPedigree makes no decisions, only shows you options, and calculated mathematically how probable each location is to be correct.

Remember, these “children,” meaning hypothesis 1-child 1 may or may not have actually existed. These relationships are hypothetical showing you that IF these people existed, where the tester could appear on the tree.

We know that I don’t fit on the branch above hypothesis 1, because I only match the descendant of Adam Lentz at 44.2 cM which is statistically too low for me to also inhabit that branch.

I’ve included half relationships, so we see hyp-7-child1-half too, which is a half-sibling.

The rankings for hypotheses 1, 2, and 7 all have red badges, meaning not possible, so they have a score of 0. Hypothesis 3 and 8 are possible, with a ranking of 16, respectively.

autopedigree my location

Image 3 – click to enlarge

Looking now at the next segment of the tree, you see that based on how I match my Deatsman and Hartman cousins, I can potentially fit in any portion of the tree with green badges (in the red boxes) or yellow badges.

You can also see where I actually fit in the tree. HOWEVER, that placement is from AutoTree, the tree reconstruction portion, based on the fact that I have a tree (or someone has a tree with me in it). My own tree is ignored for hypothesis generation for the AutoPedigree hypothesis generation portion.

Had my first cousins once removed through my grandfather John Ferverda’s brother, Roscoe, tested AND HAD A TREE, there would have been no question where I fit based on how I match them.

autopedigree cousins

As it turns out they did test, but provided no tree meaning that Genetic Affairs had no tree to work with.

Remember that I mentioned that my first cluster was huge. Many more matches mean that Genetic Affairs has more to work with. From that cluster, here’s an example of a hypothesis being accurate.

autopedigree correct

Image 4 – click to enlarge

You can see the hypothetical line beneath my own line, with hypothesis 104, 105, 106, 107, 108. The AutoTree portion of my tree is shown above, with my father and grandparents and my name in the green block. The AutoPedigree portion ignores my own tree, therefore generating the hypothesis that’s where I could fit with a rank of 2. And yes, that’s exactly where I fit in the tree.

In this case, there were some hypotheses ranked at 1, but they were incorrect, so be sure to evaluate all good (green) options, then yellow, in that order.

Genetic Affairs cannot work with 23andMe results for AutoPedigree because 23andMe doesn’t provide or support trees on their site. AutoClusters are integrated at MyHeritage, but not the AutoTree or AutoPedigree functions, and they cannot be run separately.

That leaves Family Tree DNA and Ancestry.

Combined AutoPedigree

After evaluating each of the AutoPedigrees generated for each cluster for which an AutoPedigree can be generated, click on the various cluster combined autopedigrees.

autopedigree combined

You can see that for cluster 1, I have 7 separate AutoPedigrees based on common ancestors that were different. I have 3 AutoPedigrees also for cluster 9, and 2 AutoPedigrees for 15, 21, and 24.

I have no AutoPedigrees for clusters 2, 3, 5, 6, 7, 8, 14, 17, 18, and 22.

Moving to the combined clusters, the numbers of which are NOT correlated to the clusters themselves, Genetic Affairs has searched trees and combined ancestors in various clusters together when common ancestors were found.

Autopedigree multiple clusters

Remember that I asked you to note that the above blue through brown clusters seem to have commonality between the clusters based on grey cell matches who are found in multiple groups? In fact, these people do share common ancestors, with a large combined AutoPedigree being generated from those multiple clusters.

I know you can’t read the tree in the image that follows. I’m only including it so you’ll see the scale of that portion of my tree that can be reconstructed from my matches with hypotheses of where I fit.

autopedigree huge

Image 5 – click to enlarge

These larger combined pedigrees are very useful to tie the clusters together and understand how you match numerous people who descend from the same larger ancestral group, further back in time.

Integration with DNAPainter

autopedigree wato file

Each AutoPedigree file and combined cluster AutoPedigree file in the AutoPedigree folder is provided in WATO format, allowing you to import them into DNAPainter’s WATO tool.

autopedigree dnapainter import

You can manually flesh out the trees based on actual genealogy in WATO at DNAPainter, manually add matches from GEDmatch, 23andMe or MyHeritage or matches from vendors where your matches trees may not exist but you know how your match connects to you.

Your AutoTree Ancestors

But wait, there’s more.

autopedigree ancestors folder

If you click on the Ancestors folder, you’ll see 5 options for tree generations 3-7.

autopedigree ancestor generations

My three-generation auto-generated reconstructed tree looks like this:

autopedigree my tree

Selecting the 5th generation level displays Jacob Lentz and Frederica Ruhle, the couple shown in the AutoCluster 21 and AutoPedigree examples earlier. The color-coding indicates the source of the ancestors in that position.

Autopedigree expanded tree

click to enlarge

You will also note that Genetic Affairs indicates how many matches I have that share this common ancestor along with which clusters to view for matches relevant to specific ancestors. How cool is this?!!

Remember that you can also import the genetic match information for each AutoTree cluster found at Family Tree DNA into DNAPainter to paint those matches on your chromosomes using DNAPainter’s Cluster Auto Painter.

If you run AutoCluster for matches at 23andMe, MyHeritage, or FamilyTreeDNA, all vendors who provide segment information, you can also import that cluster segment information into DNAPainter for chromosome painting.

However, from that list of vendors, you can only generate AutoTrees and AutoPedigrees at Family Tree DNA. Given this, it’s in your best interest for your matches to test at or upload their DNA (plus tree) to Family Tree DNA who supports trees AND provides segment information, both, and where you can run AutoTree and AutoPedigree.

Have you painted your clusters or generated AutoTrees? If you’re an adoptee or looking for an unknown parent or grandparent, the new AutoPedigree function is exactly what you need.

Documentation

Genetic Affairs provides complete instructions for AutoPedigree in this newsletter, along with a user manual here, and the Facebook Genetic Affairs User Group can be found here.

I wrote the introductory article, AutoClustering by Genetic Affairs, here, and Genetic Affairs Reconstructs Trees from Genetic Clusters – Even Without Your Tree or Common Ancestors, here. You can read about DNAPainter, here.

Transfer your DNA file, for free, from Ancestry to Family Tree DNA or MyHeritage, by following the easy instructions, here.

Have fun! Your ancestors are waiting.

_____________________________________________________________

Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to 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.

Thank you so much.

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Genealogy Research

 

Shared cM Project 2020 Analysis, Comparison & Handy Reference Charts

Posted on by
15

Recently, Blaine Bettinger published V4 of the Shared cM Project, and along with that, Jonny Perl at DNAPainter updated the associated interactive tool as well, including histograms. I wrote about that, here.

The goal of the shared cM project was and remains to document how much DNA can be expected to be shared by various individuals at specific relationship levels. This information allows matches to at least minimally “position” themselves in a general location their trees or conversely, to eliminate specific potential relationships.

Shared cM Project match data is gathered by testers submitting their match information through the submission portal, here.

When the Shared cM Project V3 was released in September 2017, I combined information from various sources and provided an analysis of that data, including the changes from the V2 release in 2016.

I’ve done the same thing this year, adding the new data to the previous release’s table.

Compiled Comparison Table

I initially compiled this table for myself, then decided to update it and share with my readers. This chart allows me to view various perspectives on shared data and relationships and in essence has all the data I might need, including multiple versions, in one place. Feel free to copy and save the table.

In the comparison table below, the relationship rows with data from various sources is shown as follows:

  • White – Shared cM Project 2016
  • Peach – Shared cM Project 2017
  • Purple – Shared cM Project 2020
  • Green – DNA Detectives chart

I don’t know if DNA Detectives still uses the “green chart” or if they have moved to the interactive DNAPainter tool. I’ve retained the numbers for historical reference regardless.

Additionally, in some places, you’ll see references to the “degree of relationship,” as in “third degree relatives always match each other.” I’ve included a “Degree of Relationship” column to the far right, but I don’t come across those “relationship degree” references often anymore either. However, it’s here for reference if you need it.

23andMe still gives relationships in percentages, so I’ve included the expected shared percent of DNA for each relationship and the actual shared range from the DNA Detectives Green Chart.

One column shows the expected shared cM amount, assuming that 50% of the DNA from each ancestor is passed on in each generation. Clearly, we know that inheritance doesn’t happen that cleanly because recombination is a random event and children do NOT inherit exactly half of each ancestor’s DNA carried by their parents, but the average should be someplace close to this number.

shared cm table 2020

click to open separately, then use your magnifier to enlarge

The first thing I noticed about V4 is that there is a LOT more data which means that the results are likely more accurate. V4 increased by 32K data points, or 147%. Bravo to everyone who participated, to Blaine for the analysis and to Jonny for automating the results at DNAPainter.

Methods

Blaine provided his white paper, here, which includes “everything you need to know” about the project, and I strongly encourage you to read it. Not only does this document explain the process and methods, it’s educational in its own right.

On the first page, Blaine discusses issues. Any time you are crowd sourcing information, you’re going to encounter challenges and errors. Blaine did remove any entries that were clearly problematic, plus an additional 1% of all entries for each category – .5% from each end meaning the largest and smallest entries. This was done in an attempt to remove the results most likely to be erroneous.

Known issues include:

  • Data entry errors – I refer to these as “clerical mutations,” but they happen and there is no way, unless the error is egregious, to know what is a typo and what is real. Obviously, a parent sharing only a 10 cM segment with a child is not possible, but other data entry errors are well within the realm of possible.
  • Incorrect relationships – Misreported or misunderstood relationships will skew the numbers. Relationships may be believed to be one type, but are actually something else. For example, a half vs full sibling, or a half vs full aunt or uncle.
  • Misunderstood Relationships – People sometimes become confused as to the difference between “half” and “removed” from time to time. I wrote a helpful article titled Quick Tip – Calculating Cousin Relationships Easily.
  • Endogamy – Endogamy occurs when a population intermarries within itself, meaning that the same ancestral DNA is present in many members of the community. This genetic result is that you may share more DNA with those cousins than you would otherwise share with cousins at the same distance without endogamy.
  • Pedigree Collapse – Pedigree collapse occurs when you find the same ancestors multiple times in your tree. The closer to current those ancestors appear, the more DNA you will potentially carry from those repeat ancestors. The difference between endogamy and pedigree collapse is that endogamy is a community event and pedigree collapse has only to do with your own tree. You might just have both, too.
  • Company Reporting Differences – Different companies report DNA in different ways in addition to having different matching thresholds. For example, Family Tree DNA includes in your match total all DNA to 1 cM that you share with a match over the matching threshold. Conversely, Ancestry has a lower matching threshold, but often strips out some matching DNA using Timber. 23andMe counts fully identical segments twice and reports the X chromosome in their totals. MyHeritage does not report the X chromosome. There is no “right” or “wrong,” or standardization, simply different approaches. Hopefully, the variances will be removed or smoothed in the averages.
  • Distant Cousin Relationships – While this isn’t really an issue, per se, it’s important to understand what is being reported beyond 2nd cousin relationships in that the only relationships used to calculate these averages is the DNA from people who DO share DNA with their more distant cousins. In other words, if you do NOT match your 3rd cousin, then your “0” shared DNA is not included in the average. Only those who do match have their matching amounts included. This means that the average is only the average of people who match, not the average of all 3rd cousins.

Challenges aside, the Shared cM Project provides genealogists with a wonderful opportunity to use the combined data of tens of thousands of relationships to estimate and better understand the relationship range of our matches.

The Shared cM Project in combination with DNAPainter provides us with a wonderful tool.

Histograms

When analyzing the data, one of the first things I noticed was a very unusual entry for parent/child relationships.

We all know that children each inherit exactly half of their parent’s DNA. We expect to find an amount in the ballpark of 3400, give or take a bit for normal variances like read errors or reporting differences.

Shared cM parent child.png

click to enlarge

I did not expect to see a minimum shared cM amount for a child/parent relationship at 2376, fully 1024 cM below expected value of 3400 cM. Put bluntly, that’s simply not possible. You cannot live without one third of one of your parent’s DNA. If this data is actually accurate from someone’s account, please contact me because I want to actually see this phenomenon.

I reached out to Blaine, knowing this result is not actually possible, wondering how this would ever get through the quality control cycle at any vendor.

After some discussion, here’s Blaine’s reply:

If you look at the histogram, you’ll see that those are most likely outliers. One of my lessons for the ScP (Shared cM Project) lately is that people shouldn’t be using the data without the histograms.

People get frustrated with this, but I can’t edit data without a basis even if I think it doesn’t make sense. I have to let the data itself decide what data to remove. So I removed 1% from each relationship, the lowest 0.5% and the highest 0.5%. I could have removed more, but based on the histograms, [removing] more appeared to be removing too much valid data. As people submit more parent/child relationships these outliers/incorrect submissions will be removed. But thankfully using the histograms makes it clear.

Indeed, if you look on page 23 on Blaine’s white paper, you’ll see the following histogram of parent/child relationships submitted.

shared cm histogram.png

click to enlarge

Keep in mind that Blaine already removed any obvious errors, plus 1% of the total from either end of the spectrum. In this case, he utilized 2412 submissions, so he would have removed about 24 entries that were even further out on the data spectrum.

On the chart above, we can see that a total of about 14 are still really questionable. It’s not until we get to 3300 that these entries seem feasible. My speculation is that these people meant to type 3400 instead of 2400, and so forth.

shared cm parent grid.png

click to enlarge

The great news is that Jonny Perl at DNAPainter included the histograms so you can judge for yourself if you are in the weeds on the outlier scale by clicking on the relationship.

shared cm parent submissions.png

click to enlarge

Other relationships, like this niece/nephew relationship fit the expected bell shaped curve very nicely.

shared cm niece.png

Of course, this means that if you match your niece or nephew at 900 cM instead of the range shown above, that person is probably not your full niece or nephew – a revelation that may be difficult because of the implications for you, your parent and sibling. This would suggest that your sibling is a half sibling, not a full sibling.

Entering specific amounts of shared DNA and outputting probabilities of specific relationships is where the power of DNAPainter enters the picture. Let’s enter 900 cM and see what happens.

shared cm half niece.png

That 900 cM match is likely your half niece or nephew. Of course, this example illustrates perfectly why some relationships are entered incorrectly – especially if you don’t know that your niece or nephew is a half niece or nephew – because your sibling is a half-sibling instead of a full sibling. Some people, even after receiving results don’t realize there is a discrepancy, either because their data is on the boundary, with various relationships being possible, or because they don’t understand or internalize the genetic message.

shared cm full siblings.png

click to enlarge

This phenomenon probably explains the low minimum value for full siblings, because many of those full siblings aren’t. Let’s enter 1613 and see what DNAPainter says.

shared cm half sibling.png

You’ll notice that DNAPainter shows the 1613 cM relationship as a half-sibling.

shared cm sibling.png

And the histogram indeed shows that 1613 would be the outlier. Being larger that 1600, it would appear in the 1700 category.

shared cm half vs full.png

click to enlarge

Accurately discerning close relationships is often incredibly important to testers. In the histogram chart above, you can see that the blue and orange histograms plotted on the same chart show that there is only a very small amount of overlap between the two histograms. This suggests that some people, those in the overlap range, who believe they are full siblings are in reality half-siblings, and possibly, a few in the reverse situation as well.

What Else is Noteworthy?

First, some relationships cannot be differentiated or sorted out by using the cM data or histogram charts alone.

shared cm half vs aunt.png

click to enlarge

For example, you cannot tell the difference between half-siblings and an aunt/uncle relationship. In order to make that determination, you would need to either test or compare to additional people or use other clues such as genealogical research or geographic proximity.

Second, the ranges of many relationships are wider than they were before. Often, we see the lows being lower and the highs being higher as a result of more data.

shared cm low high.png

click to enlarge

For example, take a look at grandparents. The expected relationship is 1700 cM, the average is 1754 which is very close to the previous average numbers of 1765 and 1766. However, the minimum is now 984 and the new maximum is 2462.

Why might this be? Are ranges actually wider?

Blaine removed 1% each time, which means that in V3, 6 results would have been removed, 3 from each end, while 11 would be removed in V4. More data means that we are likely to see more outliers as entries increase, with the relationship ranges are increasingly likely to overlap on the minimum and maximum ends.

Third, it’s worth noting that several relationships share an expected amount of DNA that is equal, 12.5% which equals 850 cM, in this example.

shared cm 4 relationships.png

click to enlarge

These four relationships appear to be exactly the same, genetically. The only way to tell which one of these relationships is accurate for a given match pair, aside from age (sometimes) and opportunity, is to look at another known relationship. For example, how closely might the tester be related to a parent, sibling, aunt, uncle or first cousin, or one of their other matches. Occasionally, an X chromosome match will be enlightening as well, given the unique inheritance path of the X chromosome.

Additional known relationships help narrow unknown relationships, as might Y DNA or mitochondrial DNA testing, if appropriate. You can read about who can test for the various kinds of tests, here.

Fourth, it’s been believed for several years that all 5th degree relatives, and above, match, and the V4 data confirms that.

shared cm 5th degree.png

click to enlarge

There are no zeroes in the column for minimum DNA shared, 4th column from right.

5th degree relatives include:

  • 2nd cousins
  • 1st cousins twice removed
  • Half first cousins once removed
  • Half great-aunt/uncle

Fifth, some of your more distant cousins won’t match you, beginning with 6th degree relationships.

shared cm disagree.png

click to enlarge

At the 6th degree level, the following relationships may share no DNA above the vendor matching threshold:

  • First cousins three times removed
  • Half first cousins twice removed
  • Half second cousins
  • Second cousins once removed

You’ll notice that the various reporting models and versions don’t always agree, with earlier versions of the Shared cM Project showing zeroes in the minimum amount of DNA shared.

Sixth, at the 7th degree level, some number of people in every relationship class don’t share DNA, as indicated by the zeros in the Shared cM Minimum column.

shared cm 7th degree.png

click to enlarge

The more generations back in time that you move, the fewer cousins can be expected to match.

shared cm isogg cousin match.png

This chart from the ISOGG Wiki Cousin statistics page shows the probability of matching a cousin at a specific level based on information provided by testing companies.

Quick Reference Chart Summary

In summary, V4 of the Shared cM Project confirms that all 2nd cousins can expect to match, but beyond that in your trees, cousins may or may not match. I suspect, without evidence, that the further back in time that people are related, the less likely that the proper “cousinship level” is reported. For example, it would be easier to confuse 7th and 8th cousins as compared to 1st and 2nd cousins. Some people also confuse 8th cousins with 8 generations back in your tree. It’s not equivalent.

shared cm eighth cousin.png

click to enlarge

It’s interesting to note that Degree 17 relatives, 8th cousins, 9 generations removed from each other (counting your parents as generation 1), still match in some cases. Note that some companies and people count you as generation 1, while others count your parents as generation 1.

The estimates of autosomal matching reaching 5 or 6 generations back in time, meaning descendants of common 4 times great-grandparents will sometimes match, is accurate as far as it goes, although 5-6 generations is certainly not a line in the sand.

It would be more accurate to state that:

  • 2nd cousins, people descended from common great-grandparents, 3 generations back in time will always match
  • 4th cousins, people descended from common 3 times great grandparents, 5 generations back in time, will match about half of the time
  • 8th cousins, people descended from 7 times great grandparents, 9 generations back in time still match a small percentage of the time
  • Cousins from more distant ancestors can possibly match, but it’s unlikely and may result from a more recent unknown ancestor

I created this summary chart, combining information from the ISOGG chart and the Shared cM Project as a handy quick reference. Enjoy!

shared cm quick reference.png

click to enlarge

_____________________________________________________________

Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to 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.

Thank you so much.

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Quick Tip – Calculating Cousin Relationships Easily

Posted on by
18

Lots of people struggle with figuring out exactly how two people are related.

Most genealogy programs include a relationship feature, but what if you are working with a new genetic cousin whose line isn’t yet in your genealogy software? Hopefully, that happens often!

There are also nice reference charts available, like this one provided by Legacy Tree Genealogists.

However, rather than trying to figure out who fits where, it’s easier and quicker for me to quickly sketch this out by hand on a scrap piece of paper. I can do this while looking at someone’s tree or an e-mail much more easily than I can deal with charts or software programs.

Rather than make you look at my chicken scratches, I’ve typed this into a spreadsheet with some instructions to make your life easier.

Common Couple Ancestor

This first example shows a common couple ancestor – as opposed to calculating a relationship to someone where your common ancestor’s children were half siblings because the ancestor had children by two spouses. 

Down one side, list your direct line from that ancestor couple to you.

On the other side, list your matches direct line from that ancestral couple to them.

The first generation, shown under relationship, will be siblings.

The next generation will be first cousins

The next generation will be second cousins, and so forth.

You can see that Ronald and Louise are one generation offset from each other. That’s called “once removed,” so Ronald and Louise are third cousins once removed, or 3C1R.

If Ronald’s child had tested, instead of Ronald, Ronald’s child and Louise would be third cousins twice removed, because they would be two generations offset, or 3C2R.

See how easy this is!

Half Sibling Relationships

In the circumstance where Ronald and Louise didn’t share an entire ancestral couple, meaning their common ancestor had a different spouse, the relationship looks like this:

The only difference in the relationship chart is that Jane and Joe are half siblings, not full siblings, and each generation thereafter is also “half.”

The relationship between Louise and Ronald is half third cousins once removed.

It’s easy to figure relationships using this quick methodology!

Update:  I can tell from the comments that the next question is how much DNA to these various relationships share, on average.  The chart below is from the article Concepts – Relationship Predictions, where you can read more about this topic and the chart.

______________________________________________________________

Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to 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.

Thank you so much.

DNA Purchases and Free Transfers

Genealogy Services

Genealogy Research