X Chromosome Master Class

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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Beethoven’s DNA Reveals Surprises – Does Your DNA Match?

Beethoven’s DNA has been sequenced from a lock of his hair. That, alone, is amazing news – but that’s just the beginning!

The scientific paper was released this week, and the news media is awash with the unexpected surprises that Beethoven’s DNA has revealed for us. Better yet, his DNA is in the FamilyTreeDNA database and you just might match. Are you related to Beethoven?

His Y-DNA, mitochondrial DNA and autosomal DNA have been recovered and are available for matching.

You can check your autosomal results if you’ve taken a Family Finder test, or you can upload your DNA file from either AncestryDNA, 23andMe or MyHeritage to find out if you match Beethoven. Here are the download/upload instructions for each company.

But first, let’s talk about this amazing sequence of events (pardon the pun) and scientific discoveries!

Beethoven’s Genome is Sequenced

Everyone knows the famous, genius composer, Ludwig van Beethoven. He was born in 1770 in Bonn on the banks of the Rhine River and died in 1827 in Vienna. You can listen to a snippet of his music, here.

We are all about to know him even better.

Yesterday, amid much media fanfare and a press release, the genome and related findings about Beethoven were released by a team of renowned scientists in a collaborative effort. Research partners include the University of Cambridge, the Ira F. Brilliant Center for Beethoven Studies, the American Beethoven Society, KU Leuven, the University Hospital Bonn, the University of Bonn, the Beethoven-Haus Bonn, the Max Planck Institute for Evolutionary Anthropology and  FamilyTreeDNA. I want to congratulate all of these amazing scientists for brilliant work.

Beethoven’s Hair Revelations

In the past, we were unable to retrieve viable DNA from hair, but advances have changed that in certain settings. If you’re eyeing grandma’s hair wreath – the answer is “not yet” for consumer testing. Just continue to protect and preserve your family heirlooms as described in this article.

Thankfully, Beethoven participated in the Victorian custom of giving locks of hair as mementos. Eight different locks of hair attributed to Beethoven were analyzed, with five being deemed authentic and one inconclusive. Those locks provided enough DNA to obtain a great deal of different types of information.

Beethoven’s whole genome was sequenced to a 24X coverage level, meaning the researchers were able to obtain 24 good reads of his DNA, providing a high level of confidence in the accuracy of the sequencing results.

What Was Discovered?

Perhaps the most interesting discovery, at least to genealogists, is that someplace in Beethoven’s direct paternal lineage, meaning his Y-DNA, a non-paternal event (NPE) occurred. The paper’s primary authors referred to this as an “extra-pair-paternity event” but I’ve never heard that term before.

Based on testing of other family members, that event occurred sometime between roughly 1572 and Ludwig’s conception in 1770. The reported lack of a baptismal record had already raised red flags with researchers relative to Beethoven’s paternity, but there is nothing to suggest where in the five generations prior to Ludwig von Beethoven that genetic break occurred. Perhaps testing additional people in the future will provide more specificity.

We also discovered that Beethoven was genetically predisposed to liver disease. He was plagued with jaundice and other liver-related issues for much of his later life.

Beethoven, prior to his death, left a handwritten directive asking his physicians to describe and publicize his health issues which included progressive hearing loss to the point of deafness, persistent gastrointestinal problems and severe liver issues that eventually resulted in his death. Cirrhosis of the liver was widely believed to be his cause of death.

In addition, DNA in the hair revealed that Beethoven had contracted Hepatitis B, which also affects the liver.

The combination of genetic predisposition to liver disease, Hepatitis B and heavy alcohol use probably sealed his fate.

Additional health issues that Beethoven experienced are described in the paper, published in Current Biology.

It’s quite interesting that during this analysis the team devised a method to use triangulated segments that they mapped to various geographic locations, as illustrated above in a graphic from the paper. Fascinating work!!!

As a partner in this research, Cambridge University created a beautiful website, including a video which you can watch, here.

Beethoven’s Later Years

This portrait of Beethoven was painted in 1820 just 7 years before his death, at 56 years of age. By this time, he had been completely deaf for several years, had stopped performing and appearing in public. Ironically, he still continued to compose, but was horribly frustrated and discouraged, even contemplating suicide. I can’t even fathom the depths of despair for a person with his musical genius to become deaf, slowly, like slow torture.

His personal life didn’t fare much better. In 1812, he wrote this impassioned love letter to his “Immortal Beloved” whose identity has never been revealed, if it was ever known by anyone other than Beethoven himself. The letter was never sent, which is why we have it today.

FamilyTreeDNA

FamilyTreeDNA, one of the research partners published a blog article, here.

The FamilyTreeDNA research team not only probed Beethoven’s genealogy, they tested people whose DNA should have matched, but as it turns out, did not.

Beethoven’s mitochondrial DNA haplogroup is H1b1+16,362C, plus a private mutation at C16,176T. Perhaps in the future, Beethoven’s additional private mutation will become a new haplogroup if other members of this haplogroup have it as well. If you have tested your mitochondrial DNA, check and see if Beethoven is on your match list. If you haven’t tested, now’s a great time.

According to the academic paper, Beethoven’s Y-DNA haplogroup is I-Z139, but when viewing Figure 5 in the paper, here, I noticed that Beethoven’s detailed haplogroup is given as I-FT396000, which you can see in the Discover project, here.

Viewing the Time Tree and the Suggested Projects, I noticed that there are four men with that haplogroup, some of whom are from Germany.

The ancestor’s surnames of the I-FT396000 men, as provided in public projects include:

  • Pitzschke (from Germany)
  • Hartmann (from Germany)
  • Stayler
  • Schauer (from Germany)

If your Y-DNA matches Beethoven at any level, you might want to upgrade if you haven’t taken the Big Y-700 test. It would be very interesting to see when and where your most recent common ancestor with Beethoven lived. You just never known – if you match Beethoven, your known ancestry might help unravel the mystery of Beethoven’s unknown paternal lineage.

Beethoven’s DNA is in the FamilyTreeDNA database for matching, including Y-DNA mitochondrial and autosomal results, so you just might match. Take a look! A surprise just might be waiting for you.

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RootsTech 2023 – Truly United

Finally, finally, we were on our way, winging our way across the world from near and far – flying and motoring into snowy Salt Lake City for RootsTech. It seemed like we had been preparing forever, and Murphy visited many of us as gremlins trying to keep us away – but we persevered, and Murphy’s ploy just didn’t work.

Grab a cup of your favorite beverage, because you’re going to RootsTech with me!

I started out very early in dense fog which was a precursor to a nightmare at the airport. We didn’t know that yet, and the sun emerged beautifully as we were on our way.

Utah was blanketed with snow a few days before our arrival. We were hoping for no more snow.

The snow cover made for stunningly beautiful photos from the air.

The Kennecott Copper Mine outside Salt Lake City is three miles wide, nearly a mile deep and looked very interesting and beautiful laced with snow. These terraces are actually roughly 500 miles of dirt road. This used to be a mountain that was 8400 feet in elevation.

During the flight, I read about my ancestor, Stephen Hopkins and couldn’t help but think about how shocked he would have been that I flew across the country some 413 years after he was shipwrecked in Bermuda on the way to Jamestown, eventually lived in Jamestown for 4 years, sailed back to England, remarried, then arrived on the Mayflower in Plymouth Colony.

His ships and mine were very, very different.

FamilySearch Library

Some of us arrived early for research or meetings, or both.

FamilySearch took the opportunity presented during the Covid shutdown to remodel and upgrade the facilities significantly. The new library is both beautiful and super-functional.

The workstations now have three monitors.

There’s a lovely new break room with vending machines, tables, and a fridge.

To put things in perspective, the break room is larger than the preserved pioneer cabin that stands beside the library.

I’m struck by the contrast of the small cabin standing beside the FamilySearch library at left, and museum at right, and just a block away from skyscrapers.

Rather than leave and waste valuable research time, we had a picnic lunch in the break room.

I went to Salt Lake City early to visit the FamilySearch Library and attempt to break down a brick wall. I think I might have done that. We will see.

Other researchers did the same thing, and you can view a special GenFriends episode, here, hosted by Cheryl Hudson Passey, where several of us shared our excitement about our research, discoveries and simply gathering together again.

I was very excited to meet my cousin, Audrey Hill, for the first time in person, at the library. We’ve been collaborating for several months on our John Hill (1737-1805) and Catherine Mitchell (1738-1827) line. She’s already following up on a lead I never did (my bad.) Go Audrey!!

I spent two days perusing book after book after book in the Virginia and Maryland counties where my Dobkins and Johnson ancestors were known to have lived, then moved to the historically adjacent counties.

I was incredibly discouraged, but on the evening of the second day, back at my hotel again, I reviewed all of the library resources and noticed that I had missed one book that was shelved elsewhere.

Glory be, I *think* I’ve found him and his family.

My Peter Johnson line’s Y-DNA matches the Jochimsson (Yocum) line, so I have a LOT of work to do. But now at least I know where to dig!

I needed this entire book, not just a few pages.

Fortunately for me, Jim volunteered to scan the entire book at one of the new book-scanning stations.

I’m SOOO excited.

RootsTech and the FamilySearch library ran golf carts back and forth between the facilities throughout the conference.

Decisions, decisions.

Well, if you can’t decide, just go to the chocolate shop to think things over😊

The Night Before

Preconference events began on Wednesday evening with the media dinner which allows us to understand the layout, when to be someplace, and where that place might be. It also allows provides accurate information to pass on to you.

Of course, many of us have known each other for years. As the first event of RootsTech, after three years of being apart, it felt like one huge family reunion with everyone catching up. So many hugs!!!

And selfies.

It was wonderful to see Marie Cappart again. I’ll never forget walking down the street in Amsterdam with two friends and hearing someone shouting my name from some distance away. I turned around and there was Marie, running toward me, arms outstretched. What are the chances??

The influencers and media were treated to a tour of the show floor after setup was supposed to be complete.

Finishing touches were being put on the Expo Hall and booths. I guess I never realized how large these booths are and that they actually have to be “constructed”.

The next morning, the show would open and thousands of excited genealogists would descend on the Salt Palace for the next three days.

RootsTech Opens

Finally, the Salt Palace, with its legendary signs outside, was ready to receive genealogy guests.

Everyone was so happy to see each other again. My friends, Janna Helstein, Schelly Taladay Dardashti and Daniel Horowitz with MyHeritage photobombing the group. This was the best of several photos because we were all joyfully laughing so hard.

The absolute best part of RootsTech 2023 was seeing people again, in person. Zoom and similar platforms have been sanity-saving for the past three years – but they aren’t people.

Humans are, I think, wired for connection to each other.

I’ve worked “home office” for decades now, but not without regular contact with others.

The classes were great and there was a lot that was wonderful at RootsTech – but hands down, the best part was hugging so many people.

In case you aren’t aware, genealogists are huggers.

If someone were to have followed me around taking photos, there would have been hundreds of hugs. And I don’t mean polite greeting distant hugs. I mean the “OMG I haven’t seen you in a lifetime and everyone was concerned we might never see each other again” holding tight, never-letting-go hugs.

Mags Gaulden and I spotted each other in front of the WikiTree booth, and some kind soul took our picture. I tried to do a nice thing for her and made DNA masks, not remembering that she was allergic to my cat assistants. Thank goodness Mags realized it quickly enough to remove the masks before they had the opposite of the intended effect. I really do not want to be listed in her obituary! “Cause of death: Roberta’s masks.”

Tears streamed down people’s faces as they saw each other, especially that first day. And I don’t mean because of cat hair, either.

There were thousands of selfies joyfully taken. Lots of “blooper” ones too, but just the giddiness of being together again was intoxicating and overshadowed the challenges of the past few years. For a minute, or a few, everyone could just forget about everything else and enjoy our three-day adrenaline high.

And of course, sometimes things change, and many people weren’t there, for a variety of reasons. I missed so many people and there was more than one moment of silence.

Attendance

Here’s the RootsTech Expo Hall from the second floor. It felt like “coming home” after a long absence.

I was standing inside when the doors opened on the first day. People were waiting, but not the mob like past years.

In a Zoom call with RootsTech staff a week or ten days before the conference, they said they had 6000 paid admissions at that time, and a week or so later, they said they were anticipating the same number of attendees as 2020 which was about three times that number.

That number was clearly aspirational, but it didn’t happen.

I’ve been attending RootsTech since 2018, and the actual in-person attendance, based on observation, was lower than it has been since I’ve been attending. Of course, while we may be getting used to Covid, it’s not over and still a significant concern to many. I had my doubts.

Now that I’ve said that about attendance, let me expand. There were over a million registered online for the virtual sessions PLUS the livestreamed sessions that were held in person as well. I don’t know how many more than a million attended, but that number will only grow because those sessions remain available for viewing after RootsTech. In other words, Rootstech sessions have become a library which you can find and enjoy, here.

Clearly, more people in total were reached in 2023 than in 2020.

Questions for Attendees

This year, I had three in-person classes, and no virtual classes. All three were well-attended.

I don’t know how many people attended my sessions, but I know I took about 2000 DNAeXplain ribbons that were passed out to attendees at the exit doors of my classes if they wanted them for their RootsTech badges. I brought home maybe 100.

After everything is set up for the session (thank you Jim,) I always chat with the people in my sessions that show up early. There’s no reason not to have a little fun for everyone.

My first session was at 9:30 the first day, right after the conference opened at 9. I was passing out ribbons personally to people who were early and I saw the confused looks. So I demonstrated what to do with the ribbons with my own badge.

Ribbons on badges are a RootsTech staple, and it’s the only conference I’ve ever attended with that tradition. I realized, based on the confused looks, that we had several first-time attendees.

I was so excited to welcome people at the beginning of my first session, back to in-person genealogy, and that feeling was palpable throughout the room and the conference as a whole.

How Many First-Time Attendees?

When my session started, I asked how many people were attending RootsTech for the first time, and I was very surprised to discover that roughly half the room raised their hands.

Half!!!

That’s HUGE. No wonder there were so many confused looks about the ribbons.

My three sessions, in order, were:

  • DNA for Native American Genealogy: 10 Ways to Find Your Native American Ancestors
  • DNA Journey – Follow Your Ancestors Path
  • Big Y for the Win

I mention this because of the next questions I asked.

Who Has Taken a DNA Test for Genealogy?

In the first session, “DNA for Native American Genealogy,” I asked who had taken a DNA test, and more than half raised their hands, but several had not. Frankly, that surprised me given how long DNA testing has been available now. I talked to people afterwards, and the common thread for those who had not seemed to be:

  • They didn’t know which vendor or which DNA test to take for this purpose.
  • They thought the ancestor was too far back in time and they would not have any Native results. In my session, I talked about testing the older generations and your cousins. Also, that you don’t know what you don’t know. I asked how many people would purchase a book if they thought the answer to that question even MIGHT be inside, and every single person raised their hand.

I also pointed people to the Native section on my blog, to my book, DNA for Native American Genealogy, and to my second blog focused entirely on early Native American records, www.nativeheritageproject.com.

In the second class, “DNA Journey – Follow Your Ancestor’s Path,” probably three fourths of the class had taken a DNA test. That session was really fun. I used several case studies to illustrate how different kinds of DNA have broken down brick walls AND showed me exactly, and I mean literally exactly where my ancestors were from. I used Y-DNA, mitochondrial DNA and autosomal to accomplish this. Who among you DOESN’T want to stand where your ancestors stood?

Yep, we all do.

I think it was in the second class that I asked a question about how many people had taken the three different types of tests, and here’s the breakdown:

  • Who has taken a DNA test? – The majority of the room
  • Who has taken an autosomal test – It looked to be the same number of people as above
  • Who has taken (or sponsored) a Y-DNA test – Maybe 10% of the room
  • Who has taken a mitochondrial DNA test – A scattering of people

As genealogists, we need to do more Y-DNA and mitochondrial DNA testing, because we don’t know what we don’t know and may well be missing.

In the third class, “Big Y for the Win,” which included both Y-DNA STR testing and the Big Y-700, comparing and contrasting the tests, how to use them, and why the Big Y provides significant advantages, most of the people had taken some type of DNA test.

The second question I asked in the Big Y class was how many people had taken or sponsored a Big Y test, and significantly more than half had, which is what I would have expected.

However, given the session topic, I was surprised to learn that few had used the new, free, Discover Tools, or the recently released Group Time Tree. Both were developed and created by FamilyTreeDNA to maximize the usefulness of Y-DNA haplogroups, and they are amazing.

How Many People Have Tested?

As part of the information that I gathered during the conference, Ancestry has tested 23 million people and MyHeritage 6.5 million. I don’t have a current number for FamilyTreeDNA or 23andMe, but the last numbers I heard some months ago were 2 and 5 million, respectively.

There are clearly more (and new) people who are interested in genealogy and are still DNA testing candidates – especially Y-DNA and mitochondrial DNA which have separate inheritance paths, providing additional and unique benefits as compared to autosomal tests.

Keynotes

The keynote sessions were livestreamed, so you can still view them here. Be sure to watch Steve Rockwood’s welcome. He may be the CEO, but he’s an exceptionally caring, inspirational and humble, man.

I attended two of three keynote sessions. Each keynote session actually included three speakers, which was initially confusing.

Steve Rockwood’s message is that “All Means All” – everyone is included. He also thanked and encouraged people to not be further divisive during this difficult time, and instead to choose inclusion.

Steve asked several questions and in answer to his queries, attendees were encouraged to hold up their phones with their flashlight on. As you can see, the entire huge room is filled with light – our light. One at a time. We can all be the light. You can hear Steve’s message for yourself, here.

Another session I enjoyed immensely was Jordin Sparks, the youngest ever American Idol winner. I’ve been in concert venues that were smaller, so it was a real treat to enjoy this inspirational story plus four of her amazing songs.

I really encourage you to watch this video, especially if you love music. Even Jordin’s guitarist was wiping his eyes!

She literally played to a packed house and I don’t think there was a dry eye anyplace.

Jordin has an incredible voice and an inspirational story. Do yourself a favor and listen, here.

MyHeritage Keynote and Announcements

Aaron Godfrey, VP of Marketing with MyHeritage announced new products and initiatives during the keynote on day 2.

The new Photo Dater app, available soon, will estimate when a photo was taken based on clothes, hairstyles and other items in the photo.

Additionally, Aaron announced the cM Explainer, a wonderful new tool which predicts relationship estimates between DNA matches and includes the ages of the testers, among other factors. cM Explainer is incorporated into your DNA matches at MyHeritage in addition to being independently available for free, here.

I’ll be reviewing this new feature in an article, soon.

In another surprise, Aaron announced that MyHeritage has donated another 5000 kits to DNA Quest, for adoptees, here.

MyHeritage also introduced color coding for family trees, here. If you’re a MyHeritage user, this feature is already available for you on your tree, so check it out.

MyHeritage takes the “most new announcements at RootsTech” award with these new features.

Vendor Booth Sessions

Truth be told, I didn’t even get to visit all of the various booths. I meant to, but it just didn’t happen.

At least two vendors offered sessions throughout all three days. There were probably others, but between my three RootsTech sessions, three booth sessions and the book signing, in addition to keynotes, meetings and interviews, I just wasn’t able to attend many booth sessions.

The ones I did attend were wonderful. I focused on DNA, of course. Let’s start with FamilyTreeDNA.

Sherman McRae presented “Unexpected Y-DNA Results” in the FamilyTreeDNA booth where he’s showing how to utilize the Y-DNA Time Tree in the Discover tool, and the Group Time Tree.

You can view Sherman’s main session, Connect the Forefathers, here.

You just never know when a pilgrim is going to show up for your session.

Janine Cloud, an enrolled Cherokee tribal member and manager of Group Projects at FamilyTreeDNA discussed Y-DNA, mitochondrial and autosomal avenues to prove Native ancestors using DNA, using her own Cherokee ancestors as an example.

Dr Paul Maier, Population Geneticist, Goran Runfeldt, Head of Research and Michael Sager, Phylogeneticist answer questions about Y-DNA in the AMA (Ask Me Anything) session.

Paul and Goran also hosted an AMA for mitochondrial DNA as well, an often overlooked but valuable resource.

In addition to the Native American AMA session for FamilyTreeDNA which I gave with Janine, I gave two booth presentations for MyHeritage, “Time Travel with Your Ancestors” and “AutoClusters for the Win,” both of which were recorded meaning you  just might see them in the future.

The Time Travel session utilized the MyHeritage AI tools to see what my ancestors who came from specific regions or cultures might have looked like in that time and place. In the slide above the AI photo of my grandmother is combined with the document and with the Genetic Group that incorporates that part of Germany.

I combined the AI images with MyHeritage records that link those ancestors to a specific location, showing the predicted ethnicity, genetic groups when applicable, and then the actual location – some of which I’ve visited. My ancestor owned that windmill in the Netherlands, above. Combining these tools is so much FUN. My heritage provided the AI photos, records and ethnicity. I’m the one who did the traveling, of course, but in this way, time travel is possible!

I really enjoyed using this story-telling methodology that incorporates all 4 types of genealogy research and clues.

In the AutoClusters for the Win session in the MyHeritage booth, I discussed how I utilized AutoClusters to solve an adoption case in my own family, and how you can use this very powerful tool as well. The methodology I used works equally as well for genealogy mysteries.

In another MyHeritage booth presentation, Janna Helshtein told an amazing and moving story about her grandparents, their escape from the Holocaust, move to Israel, and more – in their own “voices” using MyHeritage’s Deep Story.

We all sat spellbound.

Janna also offers a free guide on how she created and integrated the Deep Story verbiage that her grandparents “spoke.” It was actually quite easy.

There was more to Janna’s story, but I don’t want to spoil it for you.

I believe MyHeritage intends to make their booth sessions available through social media.

Here, Janna and I are celebrating with a quick picnic style lunch after her presentation. She truly knocked it out of the park.

Shifting Attendance

I’m sharing my opinion here, and not anything a RootsTech spokesperson told me.

I was surprised that the in-person attendance was down as much as it was, truthfully. I think in-person was down by either half or maybe even two-thirds. Some decline wouldn’t have surprised me, but this much was sobering.

I was also VERY surprised that roughly half of the attendees were new. And that number could have actually been higher. That’s a good thing, meaning new people are being attracted to genealogy.

These two things, together, suggest the following to me:

  • The passing of time, Covid, and aging-out of some people caused some decline. I know several people who passed away during the past three years, not to mention those whose lives changed dramatically due to their partner’s illness, passing or life circumstances. Several people lost jobs or moved, or both, or are in that process now.
  • Now let’s flip this and say that the virtual and FREE capability for much of RootsTech made the conference accessible and available to many who could not attend in person. For that, I’m very grateful. I have a friend who has been very ill and participated by taking selfies of herself with the livestreamed sessions on her monitor behind her. She posted her photos on social media to be with us. That warmed my heart so much.
  • I think that the reason there were so many new people was because they were able to attend virtually during 2021 and 2022. Essentially this means that while virtual RootsTech was challenging for everyone on the behind-the-scenes production side, to put it mildly, it served to recruit many new genealogists who would not have participated in person had they not previously attended online.

Based on discussions at the media dinner table, and other statements by Steve Rockwood, CEO of FamilySearch, FamilySearch, including RootsTech, is reaching out to young people and to other areas of the world as well.

According to Steve, who, by the way, turns out to be my 11th cousin according to Relatives at RootsTech and the FamilySearch Tree, RootsTech will forever be a blended conference event.

This year, in addition to the local emcee, there were 15 people in other countries hosting in their locations, times and in their native languages.

This year there were 304 virtual classes, 205 in person, and some of those were streamed online as well.

Don’t forget that Relatives at RootsTech is still available through March 31st and you can contact cousins to collaborate. Some may represent Y-DNA or mitochondrial DNA testing lines that you need for matching and to complete your tree.

Vendors

That brings me to the topic of vendors.

Three of the four major DNA vendors were present, meaning Ancestry, FamilyTreeDNA and MyHeritage. 23andMe was absent in 2020 and again this year. Their last DNA innovation was their genetic tree in September of 2019.

Many of the smaller vendors were not in attendance. I had made friends with several of the Mom and Pop vendors and almost none of them were there this year, nor were many of the organizations and smaller companies. I spoke with several people and they said, almost universally, that the cost of the virtual booths over the past two years, the work involved, and the fact that those virtual booths did not generate many sales, not even equal to the amount of the booth rent, had soured the experience.

Not only are conference booths very expensive, so is the invested labor and time. For those of you who don’t know, booth rent is only a part of it. You want carpet? That’s more. A chair? That’s more. Two chairs? More. A trash basket? More. Oh, you need wireless to handle sales? LOTS more.

I’d say that the Expo Hall was only half to one third of the size it had been previously. Mind you, it’s still huge, especially compared to many other conferences, but I missed seeing many of my favorite vendors.

For example, neither Genealogical.com nor Deseret Books were there this year, so there was no bookstore, and neither were many of the fun t-shirt vendors or others that sold jewelry or genealogy-related merchandise.

I hope that FamilySearch will put their creative caps on and perhaps reach out to their vendors, both past and current, and figure out a way to make RootsTech vendors attractive to the online crowd. Perhaps a “search” game where you have to visit vendor booths to find items. Maybe there could be some permanent online stores as well.

There were fewer food vendors too, but in case anyone was wondering, I could still smell cinnamon-almonds throughout the facility😊

I did run into some of my long-time vendor friends.

My friend Jessica Taylor with Legacy Tree Genealogists. I regularly refer people seeking genealogists who understand both genealogy and DNA to Legacy Tree Genealogists.

I don’t need to tell you how much I love DNAPainter and it was great to see Jonny Perl and Patricia Coleman in the DNAPainter booth.

I feel kind of bad because I obviously caught Rob Warthen and Carol Carman by surprise in the East Coast Genetic Genealogy Conference booth, but it’s the only photo I have of their booth.

Last fall’s ECGGC conference was very successful and I’m planning to speak in person this year, in Baltimore, October 6-8, 2023. Save the date. Last year was the first year and it was wonderful.

My Book Signing

FamilyTreeDNA was kind enough to host my book signing for DNA for Native American Genealogy in conjunction with the Native American Ask Me Anything session. Many thanks to Joe Brickey for her help with this event as well.

After the AMA session, which was the final event of Saturday, just before closing, we took a group picture with the FamilyTreeDNA team, or at least the staff members in the booth at that time.

I did learn that perhaps the last thing Saturday might not be the best time for a book signing, because lots of people leave on Friday night. On the other hand, on Saturday, admission to the conference is free, at least to the show floor, with lots of children’s activities and programs for LDS families. Saturday is always very busy in terms of traffic, with sometimes more Saturday visitors than paying conference attendees. It will be interesting to see final RootsTech conference numbers.

The Thank You That Made My Day!!!

One lovely lady, Charis, came up to me after my first session and explained that she saw an ad for RootsTech. She decided she needed to purchase a ticket and attend. She had never heard of me, but she is very focused on documenting her Native ancestry. She sat in the front row in my first session and paid rapt attention. (Speakers do notice, in case you wondered.)

Charis came up to me afterwards and told me that this class alone was worth her registration fee.

She made my day, but I thought to myself that she would attend other sessions that she would find equally as valuable. After all, the conference was just beginning. She found me the next day and repeated what she had said. On day 3, she attended the Ask Me Anything session, arriving early. She said the said the same thing, AGAIN, and I asked if we could take a picture together. As presenters, we take our time, spend our money to attend these conferences, and invest the effort because we want to help people.

People like Charis make this all worthwhile.

Sweetness Personified

I’m sorry, I just can’t resist sharing the sweetest picture series ever.

In 2020, I met my cousin, Heidi Campbell and her baby at RootsTech. Three years later, I saw Heidi again, with a beautiful new addition to the family.

I just can’t tell you how wonderful it was to hold this baby. The last baby I held was Heidi’s little one, three years ago. The look on Heidi’s face is priceless too when he’s reaching for my glasses. He had the biggest smile EVER on his face and he’s booping noses with me. We had so much fun.

My heart just melted into a huge puddle. I so much wish they lived close so I could “grandma.” Thank you, Heidi, for sharing your sunshine with me.

Rolling Up the Sidewalks

On Saturday, literally at one minute after 3 when the conference closed, the workers at the Salt Palace started rolling up the sidewalks, or in this case, the carpets.

It’s a wrap!!!

Afterglow

At the Salt Lake City airport, I ran into two people and had the opportunity to talk to them again and hug goodbye once more. You’d think we would all have had enough of genealogy, but not a chance. More hugs, gratitude for togetherness, and anticipation for next year.

Winging my way home again, having walked about 6 miles each day, according to Fitbit, I was tired, desperately tired, and my everything hurt. However, I was also incredibly fulfilled to have connected again with old friends and met so many new people that I now look forward to seeing again. We are very fortunate to be members of such a wonderful, diverse and universal community.

I couldn’t help but think, as we crossed the winding Mississippi River, how fortunate we are that we have “time travel” in this way. I’m also struck with how many different ways we have to time travel, with Y-DNA and mitochondrial DNA at FamilyTreeDNA, autosomal testing and ethnicity at various vendors, and actual historical records that are becoming ever-more available remotely.

Using artificial intelligence, we can “see” our ancestor’s heritage in our own faces, or, in this case, the face of my grandfather using the MyHeritage AI Time Machine.

Using our DNA, we can identify the parts of those ancestors that we carry today, reaching back in time several generations with autosomal DNA. In addition to autosomal, both Y-DNA and mitochondrial DNA provide close matches and reach back in time, focused on one specific line, providing insights for millennia.

Time travel, truly reimagined.

There are so many ways to discover and connect with our ancestors available to us today. If we don’t carry the DNA of ancestors a few generations upstream, perhaps selected cousins do. We have several tools and databases at our disposal to find testers.

The DNA of our ancestors can and does actually lead us home, to them and, sometimes, exactly where they lived, as I illustrated with several case studies in my presentation, “Follow Your Ancestors Path.” Today, these options are available to everyone.

RootsTech is in the history books for another year, with new friendships made and old ones renewed. Indeed, we were finally reunited with each other, and introduced to cousins we had never met before. We shared tools, methodologies and information to identify our ancestors. We all left fervently hoping to be reunited again next year.

Please enjoy the amazing RootsTech musical finale here.

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More Opportunities at RootsTech 2023 – Book Signing & Booth Lecture Sessions

There are even MORE virtual and in-person opportunities at RootsTech beginning on March 2nd.

Collage graphic courtesy of Dr. Penny Walters

This is sort of like Where’s Waldo, except it’s “Where’s Roberta” at RootsTech 2023.

I’m giving my three RootsTech sessions of course, but that’s not all. I’m appearing for presentations in both the FamilyTreeDNA and MyHeritage booths, plus having a book signing for my book, DNA for Native American Genealogy.

Unfortunately, none of my RootsTech sessions are livestreamed, so please attend in person if you’re in Salt Lake City.

The Expo Hall vendor floor plan is here.

The entire floor plan, including the session rooms is here.

Here’s my schedule, followed by the FamilyTreeDNA and MyHeritage booth schedules. Both have wonderful, free, DNA and genealogy sessions.

Roberta – Thursday March 2

9:30 – 10:30 AM – DNA for Native American Genealogy – 10 Ways to Find Your Native American Ancestor – Room 155A

1 – 1:30 PM – Time Travel with Your Ancestors – MyHeritage Booth

3 PM – DNA Journey – Follow Your Ancestor’s Path – Room 255B

Roberta – Friday March 3

1:30 – 2:30 PM – Big Y DNA for the Win – Room 150

4 PM – AutoClusters for the Win – MyHeritage Booth

Roberta – Saturday March 4

1:30 – 2:00 PM – Native American AMA (Ask Me Anything) – FamilyTreeDNA Booth

2:00 – 2:30 PM – Book Signing – DNA for Native American Genealogy – FamilyTreeDNA Booth

About the Book Signing

It’s unfortunate that there won’t be a book vendor at RootsTech this year, but I’ll have some copies of my book along for purchase and signing.

For right now, plan on bringing either $30 in cash, or a check. I’m trying to work out credit card processing, but no promises.

If I run out of books, the show-special pricing of $30 will be honored by the publisher if you order and pay at the book signing.

I’m bringing book plates to sign so I can sign the plate for you, even if you need to order.

If you already purchased the book, come on by and I’ll be glad to sign a book plate for you as well, at least until I run out😊

Expo Hall Opportunities

Many vendors will be offering sessions in their booths, both in person and virtual. Please check them out.

You can register for RootsTech for free which gives you remote access and also access to the Expo Hall if you attend in person. Of course, the paid registration gives you access to the in-person sessions at RootsTech.

I wrote about how to sign up and navigate the RootsTech site, here.

There are a lot more sessions available in the Expo Hall, both virtual and in person, in the vendor booths.

I’m highlighting both FamilyTreeDNA and MyHeritage since they both focus on DNA and have scheduled free sessions from their own specialists plus industry leaders. Most booth sessions tend to be about half an hour.

MyHeritage Hall Lecture and Booth Schedule

Click to enlarge

I’m sure after the virtual Expo Halls opens, their schedule will be available there too.

FamilyTreeDNA Hall Lecture and Booth Schedule

FamilyTreeDNA (FTDNA) published two blog posts, one about the free virtual RootsTech sessions, here, and one about the in-person sessions, here. If you subscribe to their blog, here, you’ll received updates during the week as they feature different sessions. Also, check their virtual booth after the Expo Hall opens.

SLC Local Time Thursday March 2 Friday March 3 Saturday March 4
9:30 (AM) Y DNA: An Overview of your Results – Katy Rowe – Ballroom A – livestreamed Let’s Play Connect Forefathers! -Sherman McRae – Ballroom A – livestreamed
10:30 What You Can Do with DNA – Katy Rowe – FTDNA Booth Native American Roots – Janine Cloud – FTDNA Booth Which Test is Best for Me? – Janine Cloud – FTDNA Booth
1:00 PM FamilyTreeDNA Sponsor Spotlight – Main Stage Y-DNA AMA (Ask Me Anything) – Dr. Paul Maier, Goran Runfeldt, Michael Sager Mitochondrial DNA AMA (Ask me Anything) – Dr. Paul Maier, Goran Runfeldt
1:30 Unexpected Y-DNA Result – Sherman McRae – FTDNA Booth Just in Time for Groups – Jim Brewster – Virtual Live Demo through FTDNA Expo Hall booth Native American AMA (Ask Me Anything) – Roberta Estes – FTDNA Booth
2:00 Book Signing – DNA for Native American Genealogy – Roberta Estes – FTDNA booth
3:00 Unexpected Y DNA Result – Sherman McRae – FTDNA booth
4:00 Which Test is Best for Me? – Janine Cloud – FTDNA Booth

Rootstech Live Webinars Versus Livestreamed Sessions

There has been some confusion about the difference between RootsTech Live Webinars and Livestreamed sessions, and how to access each. I know this is confusing, so bear with me.

  • It appears that the free virtual registration will give you access to the live webinars, because the speakers and their sessions are listed both under the in-person and the virtual on-demand classes, here.
  • The paid registration gives you access to the sessions that will be given in person and also livestreamed.

There is no list (or filter ability) of livestreamed or live webinar sessions, but it’s easy to see if you go to the list of in-person sessions, here, and look under location where it will say “Live Webinar” if the session is just a webinar. However, this list does NOT tell you if the session is livestreamed.

Let’s look at an example.

Here are the first two sessions for Thursday.

Click to enlarge

The first session listed is a Live Webinar, meaning there is no in person room to visit. This sessions ALSO appears on the virtual list of classes, if you look there.

The second session physically takes place in Ballroom A. If you click on the session, and scroll to the bottom, you’ll see this statement about livestreaming. That means you go to Ballroom A if you are in SLC or you can view the session by visiting this link and clicking at the red arrow to join. I believe these will be available later too, but I have no confirmation of that.

This session is NOT listed in the free “on demand” sessions, so I believe any in-person session is only available with a paid registration.

The message is to plan your RootsTech sessions in advance.

Over and Out Until RootsTech

How can it possibly just be just four days until RootsTech. The suspense builds every single day because we know there will be announcements and it will be wonderful to see our genea-friends in person again. It feels like it has been forever.

This is it for me until RootsTech. My schedule is absolutely jam-packed slammed busy, but I will try to write and publish something everyday so you folks can “come along” with me.

I have a media pass this year, so I’ll be trying to grab photos of people, including the main stage speakers, and asking what are hopefully relevant questions. Maybe some behind the scenes things too. I’m not sure how much access we have.

There are sure to be some interesting surprises, planned or unplanned. There always are. Personally, I’m just extremely grateful that RootsTech wasn’t this week, given their 2 feet of snow, or I would have been interviewing people in the hotel lobby and maybe coordinating games of Euchre or perhaps modifying Jeopardy for “Who’s Your Ancestor?” “I’ll take pilgrims for $200.”

It would be miserable to be snowed in literally one block from the FamilySearch Library and not be able to get there. Mother Nature, hopefully, has gotten this out of her system as this week promises to be less weather-challenged. Knock wood!

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Relatives at RootsTech – How to Use & Connect with DNA

Relatives at RootsTech is back and I’m so very glad to see it.

Let me show you how to use this wonderful tool, including tips for how to get even more out of the experience.

It’s important to start now to accumulate your cousins, because there’s a display limit of 300 in each category, so you’ll want to begin recording your findings so that as more people sign up and are added to your list, you don’t “lose” the earlier relatives.

Let’s start with my link. Click here.

You’ll be prompted to sign in to your FamilySearch account, or create one. If you don’t have an account, create one now.

Right now, the number of participants is doubling every few days.

Let’s take a look at how Relatives at RootsTech works and how it can benefit you.

Surnames

At first glance, the surname tool doesn’t look terribly exciting, but there’s a hidden gem, especially for newer genealogists.

I entered my surname and one other, knowing there is probably no common locations other than the US. Kvochick is very rare and unique.

The results show two interesting things. First, the genesis of the surname, and second, the total number of people in the FamilySearch tree in both of the common locations for both surnames.

Be sure to try variant spellings too.

After you sign in, you’ll be asked to update your profile which is how you join in on the fun. If you signed up for Relatives at RootsTech last year, that doesn’t count for this year. You need to opt-in for this year’s festivities.

RootsTech Relatives

After you sign in, you’ll see how many of your relatives have joined.

Of the 60,461 total who have joined, according to the FamilySearch tree, I’m related to about 15% of them. That sure gives new perspective to how many people we’re related to. And just think if those brick walls didn’t exist. We’d be related to just about everyone. Far enough back, we’re all related, literally.

Your Relatives at RootsTech are displayed in three ways.

By location, ancestor or family line.

Relatives by Location

Your first view will be by all locations (including people who did not select a location,) but displayed in closest to most distant relationship order. For me, that’s the most interesting part.

These people, my closest relatives, are the people most likely to have critical pieces of information that I don’t have or know about. Like family stories, or photos, for example.

I know one of these people, but not the rest. I’m dying to know who they are and how we are related.

For me, the map itself isn’t terribly useful, but it would be if some members of your family were from distinct locations.

Not everyone opts in to have their location displayed. The “173” in the center is the people who generically selected United States.

Relatives by Family Line

The Family Line display shows you the number of people by parent or grandparent. Unfortunately, you can only view 300 of your matches in each line, which is disappointing.

However, there’s a better way to view your relatives.

Relatives by Ancestor

For me, the best way to view relatives is by ancestor. This also circumvents the 300 limit to some extent, unless you have more than 300 relatives for any one ancestor.

I have two relatives who also descend from Curtis Benjamin Lore. It’s Jen and Jill again, my closest relatives.

I’m quite interested in these people, because Curtis is my great-grandfather and he was a very interesting man. I know Jen and Jill are interested in genealogy too, or they would not have signed up for RootsTech Relatives, this year, in the past few days. This is not a stale list.

I’ll be messaging them as soon as I’m finished with this article!!!

Please note that FamilySearch does not label half-relationships accurately.

Jen and Jill are my HALF second cousins twice removed, which will affect the expected amount of shared DNA. Their ancestors, Edith and Maude were half-sisters through their father, not full sisters. One of the reasons I’m so interested in communicating with Jen and Jill is because I’m not at all sure that those half-sisters knew each other existed.

Maintaining Contact

For each relative found, you can view your relationship, message them, or add them to your contact list. Be aware – your contact list “saves” this person, but it does not tell you how you’re related. That’s where either a Word document, with screen shots of how you’re related, or a spreadsheet where you can detail that information is important.

If you have messaged people in the past, those messages are still in your message box in the upper right-hand corner.

I generally provide my email address when I message relatives.

Displaying the Relationship

If you click on the “Relationship” button, you’ll see how FamilySearch believes you’re related to each match.

My relationship with an Acadian cousin, beginning with our common ancestor, is shown above. Grab a screen shot so you can remember. I drop them into a spreadsheet or Word document.

These matches are based on FamilySearch’s one world type of tree. I don’t have to tell you to be cautious because, like any tree, there are erroneous connections. This connection, at least on my side (left hand,) seems to be accurate. I don’t have Jeanne Chebrat’s second marriage to Jehan Piorier in my file, so I’ll need to check that out. Many times FamilySearch, WikiTree, Ancestry, or MyHeritage has connected documents or sources. In this case, here’s the WikiTree entry for Jeanne.

See, I’ve found something interesting already.

Search for People

On the toolbar, if you click on the right arrow, you’ll notice there’s one more option – Search.

If you think one your cousins might be attending, either virtually or in person, you can search by surname. I entered Estes out of curiosity.

This is quite interesting, because some other poor soul is also named Roberta Estes. You KNOW I’ll be messaging her. I’m pretty sure I know who this is, because we’ve been getting mixed up for years. Unless, of course there are actually three of us interested in genealogy.

However, where this Search option really shines is if you’re looking for males who descend from a particular line as candidates for Y-DNA testing.

Bingo!

I suggest doing this name search for each surname in your tree.

The Share Button is Critically Important

Sharing is the key to encouraging people to participate.

This button on the main page is how I generated the link for you to use to see if we’re related.

There’s a “Share” button in several locations. However, you’ll want to be sure you know exactly what you’re sharing. In some cases, it will be the surname comparison information or other information that you’re viewing. 

However, on the bottom of your Relatives pages, Share will generate a message link to/through several programs or apps so people can sign in to see if they are related to you.

You can also just copy the link and send it to someone in a text message or otherwise.

If you generate a message to share, you’ll see what will be posted, so you’ll know for sure exactly what you’re sharing. I wanted to post the link for my friends on Facebook to see if we are related, and that’s exactly what was generated.

If you follow the link to see if we are related, be sure to tell me, or anyone else whose link you follow.

Next, Connect with DNA

Relatives for RootsTech is a wonderful segway into DNA testing.

Remember, with the 300-relative limit, different searches will produce different results including people that won’t be included due to the 300 limit in other searches. Be creative and search in multiple ways. Add your relatives to your spreadsheet or Word document, then record whether they’ve DNA tested, at which vendor(s) and if you match there.

There are various ways to utilize Relatives at RootsTech for DNA.

  • Y-DNA candidates for the direct paternal line for males – The Search by surname can provide you with Y-DNA testing candidates. They may already have tested their Y-DNA with FamilyTreeDNA or their autosomal DNA with at least one vendor, so just message them and ask. Tell them which databases you’re in. Viewing Relatives by Ancestor can be very useful for this same purpose, especially if you have multiple unrelated lines with the same surname.
  • Mitochondrial DNA – the Relatives by Ancestor tool is very useful for locating mitochondrial DNA testing candidates, especially since you can easily see how they are descended from your common ancestor. Mitochondrial DNA is passed from women through all females to the current generation, which can be male or female. Any of your cousins, of either sex, are candidates so long as they descend from your target ancestor through all females.
  • DNA Pedigree Chart – If you’re building your own DNA Pedigree Chart with the Y-DNA and mitochondrial DNA of each ancestral line, consider offering a DNA testing scholarship to people who carry those lines that are missing in your DNA Pedigree Chart.
  • Testing Candidates – Anyone is a good candidate for autosomal testing. No second cousin or closer has ever not matched. Ask your cousins if they have tested and tell them which DNA databases you are in. Furthermore, suggest that they upload their DNA to FamilyTreeDNA and MyHeritage for free to utilize their tools and find matches that aren’t in the other databases. GEDmatch isn’t a testing company, but is another free database where you may find people who tested at Ancestry. Unfortunately, Ancestry does not provide segment information for matching or painting, so hopefully you’ll be able to find your Ancestry matches elsewhere.
  • Databases – Be sure you’re in all of the databases (Ancestry, 23andMe, FamilyTreeDNA, MyHeritage and GEDmatch) so you can be found and you can find your relatives.
  • DNAPainter – If you’re painting your segments at DNAPainter, you can paint your matching segments from 23andMe, FamilyTreeDNA, MyHeritage or GEDmatch. Ancestry is the only vendor that does not provide matching segment information for their customers.
  • DNA Search – If your cousin has used their actual name when registering at FamilySearch, sort by ancestor, then search your DNA matches at the various vendors for that cousin’s name. The beauty of Relatives at RootsTech is that the relationship is already sorted by ancestor, so that piece of the puzzle has already been assembled for you, which is exactly the opposite of most DNA matches. Of course, this does not preclude errors or connections through multiple ancestors.

Limited Time – March 31 is the End

If I had a FamilySearch genie and could get one wish, it would be that they would leave Relatives for RootsTech up and available until the next RootsTech. I need time to work on these relationships.

However, that’s not the case, and Relatives for RootsTech ends on March 31st.

Therefore, it’s important to begin building your spreadsheet, or however you’re going to record your relatives, NOW. Check your list often so none of those precious matches will roll off of your list and become unavailable. Access to the complete relative match list, meaning no 300 limit would be my second wish from the FamilySearch genie.

To preserve the ability to communicate with your relatives, message them now or at least add them to your contact list – WITH A NOTE IN YOUR SPREADSHEET AS TO HOW YOU’RE RELATED. Otherwise, that information will not be available after March 31st.

You’ll want to use the same spreadsheet from year to year, as some of the relatives signing up this year probably did last year too.

Ready, Set, Relatives at RootsTech

Have fun. Be sure to let me know if we’re related and how!!!

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ThruLines Suggests Potential Ancestors – How Accurate Are They?

I wanted to evaluate the accuracy of Ancestry’s ThruLines suggested Potential Ancestors when compared with a tree I know is accurate. I conducted an experiment where I created a small tree on Ancestry for a DNA tester that included only the first two generations, meaning grandparents and great-grandparents.

Click to enlarge any image.

This gave Ancestry enough data to work with and means that for the upstream ancestors, Ancestry’s ThruLines suggested specific people as ancestors.

How well did Ancestry do? Are the Potential Ancestors suggested by Ancestry accurate? How do they make those suggestions anyway? Are they useful?

I do have a second, completely separate, full tree connected to my other DNA test, and I do know who those ancestors are, or, in some cases, I know who they aren’t. I’ve had the privilege of working intensively on my genealogy for decades, so I can easily compare what is known and proven, or what has been disproven, to Ancestry’s suggested Potential Ancestors.

We’ll start with the great-grandparents’ generation, but first, let’s talk about how ThruLines works. I’ve previously written about ThruLines here and here.

How ThruLines Works

ThruLines is a tool for people who have taken an AncestryDNA test and who link themselves to their position on their tree. Linking is a critical step. If you don’t link the DNA test to the proper profile, the tester won’t have ThruLines. I provided step-by-step instructions, here.

I want to emphasize this again, ThruLines is a TOOL, not an answer. It may or may not be accurate and it’s entirely UP TO YOU to take that hint, run with it, and verify or disprove. Ancestry is providing you with a hint.

Essentially, the more ancestors that you provide to Ancestry, generally, the better they can do when suggesting additional Potential Ancestors. They do need something to work with. I wrote about that in the article Optimizing Your Tree at Ancestry for More Hints and DNA ThruLines.

If you don’t provide at least your parents and at least your grandparents in a tree, it’s unlikely that Ancestry will be able to provide Potential Ancestors for you.

I added two generations above the parents in this experiment in order to provide Ancestry with a significant “hook” to latch onto to connect with:

  • Other DNA testers who match the tester AND
  • Other people’s trees, whether the tree-owners have tested their DNA or not

So yes, to be clear, Ancestry DOES:

  • Use the trees of other people whose DNA you match AND have the same ancestors in their tree
  • Along with the trees of people you don’t match (or who haven’t DNA tested,) to propose ancestors for you

ThruLines only reaches back to ancestors within 7 generations, meaning the ancestor is the tester’s 5th great-grandparent or closer.

Most suggested Potential Ancestors in ThruLines have descendants who have tested and are DNA matches to you, but not necessarily all.

On your tree itself, the ThruLines “3 people” icon shows on the ancestors that have Thrulines.

Click to enlarge

Looking at this graphic of my tree, you can see that ThruLines ends at the 7th generation, but Potential Ancestors continue to be suggested beyond 7 generations. Note generation 9, below, which is beyond ThruLines but has Potential Ancestors suggested based entirely on other people’s trees.

ThruLines stops at 7 generations, but Potential Ancestor suggestions do not.

In the above example, in generation 7, Michael McDowell (1720-1755) is a known ancestor and has a ThruLine, but his wife is unknown. Ancestry has suggested a Potential Mother for Michael McDowell (1747-1840) who is also the spouse of Michael McDowell (1720-1755).

Here’s the ThruLines suggestion for Michael McDowell’s wife.

Ironically, there are no DNA matches for either Michael or Eleanor. However, there are DNA matches for their child who clearly descends from Michael. This may be an example of a situation where the other testers are beyond the 7th generation, so they don’t show as matches for our tester in Michael’s generation. The other possibility, of course, is a glitch in ThruLines.

(For those familiar with the Michael McDowell (1720-1755) lineage, Eleanor is his mother, not his wife. His wife is unknown, so this Potential Ancestor is incorrect.)

Potential Ancestors Without DNA Matches

A person may still be suggested as a Potential Ancestor even without any DNA matches.

I have seen situations where a parent has DNA matches to several ThruLine ancestors, but their child has the same suggested ancestor with zero DNA matches listed because the child and the match are one generation too far removed to be listed as a DNA match on ThruLines.

Yet, if you search the child’s match list for the individual listed as a DNA match to their parent through that ancestor, that match is also on the child’s match list.

In the chart that follows, you can see that ancestors in the midrange of generations have many DNA matches, but as you approach the 7th generation, the number of matches drops significantly, and some even have zero. That’s because both people of a match pair have to be within the generational boundary for ThruLines to list them as matches.

In some cases, the ancestor is not suggested for the child in ThruLines because the ancestor is the 6th great-grandparent of the child. If you look directly at the child’s tree, the Potential Ancestor may be suggested there.

Points to Remember

  • The difference between ThruLines and Potential Ancestors is that Potential Ancestors are still suggested beyond the hard 7 generation or 5 GG boundary for ThruLines.
  • ThruLines may suggest Potential Ancestors with or without DNA matches.
  • Potential Ancestors, either within or beyond ThruLines must connect to someone in your tree, or another Potential Ancestor or ancestors who connect to someone in your tree.

Incorrect Ancestors and Discrepancies

An incorrect ancestor can be listed in multiple people’s trees, and Ancestry will suggest that incorrect ancestor for you based on the associated trees. At one point, I did a survey of the number of people who had the incorrect Virginia wife listed for my ancestor, Abraham Estes, and the first 150 trees I viewed had the wrong wife. We have church record proof of her death in England before his children were born by his colonial Virginia wife. Garbage in, garbage out.

That doesn’t mean those trees aren’t useful. In some cases, the information “saved” to that person in those incorrect trees shows you exactly what is out there and can’t be correct. For example, if there is a death record and burial for someone, they can’t also be alive 50 years later in another location. Or someone born in 1780 can’t have been a Revolutionary War veteran. Sometimes you’ll discover same name confusion, or multiple people who have been conflated into one. Other times, you may actually find valid hints for your own ancestor misplaced in someone else’s tree. Always evaluate.

You “should” have the same number of matches to the man and woman of a couple if neither of them had descendants with another partner, but sometimes that doesn’t happen. I would presume that’s due to tree discrepancies among your matches or other trees on Ancestry.

If the same ancestor is listed with multiple name spellings or similar differences, I have no idea how Ancestry determines which version to present to you as a Potential Ancestor. That’s why ThruLines are hints. Ancestry does show you the various trees they utilized and allows you to peruse them for hints for that suggested ancestor.

Just click on the Evaluate button. Unfortunately, neither of these trees have any records for this ancestor.

If you click on the tree, you are then given the opportunity to add Eleanor (meaning the potential ancestor) to your tree from their tree.

I STRONGLY, STRONGLY suggest that you DO NOT do this. By adding information directly from other people’s trees, you’re introducing any errors from their tree into your tree as well.

If you click through to their tree, you’ll often find that they used someone else’s tree as their “source,” so misinformation propagates easily. Seeing “Ancestry Family Trees” as a source, especially in multiple records, provides you with an idea of the research style of that tree owner. This also conveys the message to less-experienced researchers that copy/pasting from other trees is a valid source.

Use this information provided as hints and do your own research and evaluation.

Where Do Potential Ancestors Come From?

Let’s view an example of an incorrect Potential Ancestor suggestion and proof-steps you can utilize to help validate or potentially disprove the suggestion.

We know that George Middleton Clarkston/Clarkson is NOT the father of James Lee Clarkson based on Y-DNA testing where the descendants of the two men not only don’t match, they have a completely different haplogroup. They do not share a common paternal ancestor. Furthermore, proven descendant groups of both men do not have autosomal DNA matches.

However, George Middleton Clarkson is suggested as a Potential Ancestor in ThruLines as the father of James Lee Clarkson.

Mousing over the ThruLines placard shows 98 DNA matches to other people who claim descent from George Middleton Clarkson. How is it possible to have 98 matches with descendants of George Middleton Clarkson, yet he’s not my ancestor?

Many people just see that “98,” which is a high number and think, “well, of course he’s my ancestor, otherwise, I wouldn’t match all those descendants.” It’s not that simple or straightforward though. It’s certainly possible to all be wrong together, especially if you’re dealing with long-held assumptions in the genealogy community and trees copies from other people’s trees for decades.

To view the ThruLine detail for George Middleton Clarkson, just click on the placard.

The ThruLine for George Middleton Clarkson has three attributed children with DNA matches. Let’s evaluate.

  • ThruLines Child 1 is my own James Lee Clarkson that has been erroneously attached to George Middleton Clarkson. However, the Y-DNA of the three various lines, above, does not match. That erroneous connection alone counts for 80 of those 98 matches. If all of those people who match me do descend from our common ancestor, James, those matches all make sense.

According to early histories, James Lee Clarkson was believed to be George’s son based on geographic proximity between the state of Franklin in eastern Tennessee and Russell County, Virginia, but then came DNA testing which said otherwise.

This DNA grouping from the Clarkson/Claxton DNA Project at FamilyTreeDNA shows that the men, above, which includes descendants of James Lee Claxton/Clarkson, all match each other.

  • ThruLines Child 2 is Thomas Clarkston who has 17 DNA matches through 7 of his children.

By clicking on the green evaluate button for Thomas, we see that two of the DNA related trees have records, but three do not.

The first tree is quite interesting for a number of reasons.

  1. Thomas Clarkson is found in Lee County, VA, in relatively close proximity to where James Lee Clarkson is first found in Russell County, VA as an adult in 1795.
  2. There is no actual documentation to connect Thomas Clarkson with George Middleton Clarkson who was hung in 1787 in the lost State of Franklin, Tennessee, now Washington and Greene Counties in Tennessee. It has been “accepted” for years that Thomas descends from George Middleton based on information reportedly passed down within that family long before the internet.

The Claxton/Clarkson DNA Project at FamilyTreeDNA shows the Thomas lineage. This lineage reaches back into England based on Y-DNA matches – a huge and important hint for the Thomas descendants that they won’t be able to obtain anyplace else.

Note that Thomas’s Y-DNA does not match that of James Lee Clarkson/Claxton which means these people must match me through a different line. That’s not surprising given that many of the families of this region intermarried for generations.

  • ThruLines Child 3 is David Claxton, who has one DNA match, so let’s look at that by clicking on the green evaluate button.

You’ll see that this ancestor through David Claxton was recommended based on:

  • One DNA match with a tree with 0 source records, and
  • Zero Ancestry member trees of people whose DNA I don’t match, or that haven’t DNA tested

Checking this tree shows no sources for the following generations either, so I have no way to evaluate the accurace of the tree.

However, I did track his descendants for a generation or so and found them in Wilson County, TN, which allowed me to find them in the Clarkson/Claxton Y DNA Project at FamilyTreeDNA.

In the Clarkson/Claxton DNA project, we see that this David Claxton of Wilson County, TN is in a third DNA group that does not match either the James Lee Claxton or the Thomas Claxton line.

Furthermore, look at the hints for the descendants of David Claxton based on the Y-DNA matches. This link appears to reach back to a Clayton in Kirkington, Yorkshire.

ThruLines Conflation

In this case, three men of similar or the same surnames were cobbled together as sons of George Middleton Clarkson where clearly, based on Y-DNA testing, those three men are not related to each other paternally and do not share a common paternal ancestor. They cannot all three be descendants of George Middleton Clarkson.

It’s amazing how much is missed and erroneously inferred by NOT testing Y-DNA. In very short order, we just proved that the ThruLine that connected all three of these men to George Middleton Clarkson as their ancestor is inaccurate.

In defense of Ancestry, they simply used user-submitted erroneous trees – but you have it within YOUR power to search further, and to utilize Y-DNA or mitochondrial DNA testing for additional clarification. This Clarkson/Claxton information was freely available, publicly, by just checking.

You can find surname or other projects at FamilyTreeDNA, by scrolling down, here, or simply google “<surname you seek> DNA Project.”

How Can These People All Match the Tester?

If we know that the male Claxton/Clarkson line is not the link between these matches, then why and how do these people all DNA match the tester? That’s a great question.

It’s possible that:

  • They match the tester through a different ancestor
  • There has been a genetic disconnect in the Claxton/Clarkson line and the match is through the mother, not the Claxton/Clarkson male
  • Some of the other testers’ genealogy is in error by including George Middleton Clarkson in their trees
  • People accept the George Middleton Clarkson suggestion, adding him to their tree, propagating erroneous information
  • The descendants of James Lee Clarkson/Claxton match because he is their common ancestor, but connecting him to George Middleton Clarkson is erroneous
  • The 15 cM match (and potentially others) is identical by chance
  • The Y-DNA disproved this possibility in this case. In other cases, the matches could have been from the same biological Clarkson/Claxton line, but the testers have their ancestor incorrectly attached to George Middleton Clarkson/Claxton. In this case, we can’t say which of David Claxton, James Lee Claxton and/or Thomas Claxton are or are not individually erroneously connected to George Middleton Clarkson, but we know for a fact that David’s, James’ and Thomas’s descendant’s Y-DNA does not match each other, so they can’t all three be descendants of George Middleton Clarkston. Furthermore, there is no solid evidence that ANY of these three men are his descendant. We know that these three men do not share a common direct paternal ancestor.

I recommend for every male line that you check the relevant Y-DNA project at FamilyTreeDNA and see if the information there confirms or conflicts with a suggested ancestor, or if a descendant hasn’t yet tested. I also STRONGLY recommend that a male in the relevant surname line that carries that surname be asked to test in order to verify the lineage.

ThruLine Ranking

I’m going to rank Ancestry’s suggested Potential Ancestors by awarding points for accuracy on their Potential Ancestor ThruLines suggestions and subtracting points for incorrect Potential Ancestor suggestions. This chart is at the end with links to my 52 Ancestor’s articles for those ancestors.

OK, let’s take a look, beginning with the great-grandparent generation.

Great-Grandparents

I entered all of these ancestors and they are connected to their children, the tester’s grandparents. They are not connected to their parents for purposes of this article, although I do know who the parents are, so let’s see how Ancestry does making Potential Ancestor suggestions through ThruLines.

Ancestors (above example) that are NOT framed by a dotted line and who are NOT labeled as a “Potential Ancestor” have been connected in their tree by the DNA tester, meaning you.

The next generations, below, are all framed by dotted lines, meaning they are Potential Ancestor suggestions provided by Ancestry. Potential Ancestors are always clearly marked with the green bar.

Eight 2nd Great Grandparents

In this generation, because I have not connected them, Ancestry has suggested Potential Ancestors for all sixteen 2X Great-Grandparents.

I’ve provided gold stars for the correct ancestor information meaning both the name and the birth and death date within a year or a decade when they died between census years.

Of these 16, three are completely accurate and the rest were at least partially accurate.

I repeated this process for each one of the suggested Potential Ancestors in the 3rd, 4th and 5th great grandparent categories as well, completing a ranking chart as I went.

Ranking Chart

I’ve ranked Ancestry’s accuracy in their Potential Ancestor recommendations.

  • +2 points means the name AND birth and death years are accurate within a year or decade if they died within a census boundary
  • +1 point means that EITHER the name OR the birth and death dates are (mostly) accurate, but not both
  • 0 means uncertain, so neither positive or negative
  • -1 point means that NEITHER the name NOR birth and death dates are accurate but it’s clear that this is meant to be the correct person. In other words, with some work, this hint could point you in the right direction, but in and of itself, it is inaccurate.
  • -2 means that the person suggested is the wrong person

I’ve been generous where there was some question. I’ve linked these ancestors where I’ve written their 52 Ancestors stories. [LNU] means last name unknown. It’s worth noting that one of the trees Ancestry has available to utilize for Potential Ancestors is my own accurate tree with many source documents for my ancestors.

# Generation Ancestry Name & Birth/Death Years Correct Name & Birth/Death Years # Matches Points Awarded Y or mtDNA Confirmed
1 2nd GGP John R. Estes 1788-1885 John. R. Estes 1787-1885 110 2 Yes
2 2nd GGP Nancy Ann Moore 1789-1865 Ann Moore or Nancy Ann Moore c1785-1860/1870 112 1 Need mtDNA through all females
3 2nd GGP Lazarus Dotson 1785-1861 Lazarus Dodson 1795-1861 46 -1 Yes
4 2nd GGP Elizabeth Campbell 1802-1842 Elizabeth Campbell c 1802-1827/1830 46 1 Yes
5 2nd GGP Elijah R. Vannoy 1782-1850 Elijah Vannoy 1784-1850s 82 -1 Yes
6 2nd GGP Rebecca Lois McNeil 1781-1839 Lois McNiel c1786-c1830s 81 -1 Yes
7 2nd GGP William Crumley ?-1859 William Crumley 1788-1859 97 1 Yes
8 2nd GGP Lydia Brown Crumley 1796-1847 Lydia Brown c1781-1830/1840 112 -1 Yes
9 2nd GGP Henry Bolton 1741-1846 Henry Frederick Bolton 1762-1846 152 -1 Yes
10 2nd GGP Nancy Mann 1777-1841 Nancy Mann c1780-1841 134 1 Yes
11 2nd GGP William Herrel 1803-1859 William Harrell/Herrell c1790-1859 31 1 Yes
12 2nd GGP Mary McDowell 1785-1871 Mary McDowell 1785-after 1872 45 2 Yes
13 2nd GGP Fairwick Clarkson 1800-1874 Fairwix/Fairwick Clarkson/Claxton 1799/1800-1874 82 2 Yes
14 2nd GGP Agnes Sander Muncy 1803-1880 Agnes Muncy 1803-after 1880 106 1 Yes
15 2nd GGP Thomas Charles Speak 1805-1843 Charles Speak 1804/1805-1840/1850 60 1 Yes
16 2nd GGP Ann McKee 1805-1860 Ann McKee 1804/1805-1840/1850 60 1 Yes
17 3rd GGP George M. Estes 1763-1859 George Estes 1763-1859 76 1 Yes
18 3rd GGP Mary C. Younger 1766-1850 Mary Younger c1766-1820/1830 75 -1 Yes
19 3rd GGP William Moore 1756-1810 William Moore 1750-1826 72 1 Yes
20 3rd GGP Susannah Harwell 1748-1795 Lucy [LNU] 1754-1832 69 -2 Need Lucy’s mtDNA through all females
21 3rd GGP Lazarous Dotson 1760-1826 Lazarus Dodson 1760-1826 42 1 Yes
22 3rd GGP Janet Jane Campbell 1762-1826 Jane [LNU] c1760-1830/1840 38 -2 Need mtDNA through all females
23 3rd GGP John Campbell 1772-1836 John Campbell c1772-1838 65 1 Yes
24 3rd GGP Jane Dobkins 1780-1860 Jane Dobkins c1780-c1860 22 2 Yes
25 3rd GGP Francis Vanoy/Vannoy 1746-1822 Daniel Vannoy 1752-after 1794 76 -2 Yes
26 3rd GGP Millicent “Millie” Henderson 1755-1822 Sarah Hickerson 1752/1760-before 1820 76 -2 Need mtDNA through all females
27 3rd GGP William McNeil/McNeal 1760-1830 William McNiel c1760-c1817 116 1 Yes
28 3rd GGP Elizabeth Shepherd McNeil 1766-1820 Elizabeth Shepherd 1766-1830/1840 115 -1 Yes
29 3rd GGP William Crumley 1767-1837 William Crumley c1767-c1839 59 1 Yes
30 3rd GGP Hannah Hanner “Hammer” 1770-1814 unknown 60 -2 Have her mtDNA
31 3rd GGP Jotham Sylvanis Brown 1765-1859 Jotham Brown c1740-c1799 100 -2 Yes
32 3rd GGP Ruth Johnston Brown Phoebe Cole 1747-1802 97 -2 Incorrect person but have correct mtDNA
33 3rd GGP Henry Bolton 1720-1757 Henry Bolton 1729-1765 88 1 Yes
34 3rd GGP Sarah Corry 1729-1797 Sarah Corry 1729-1797 80 2 Need mtDNA through all females
35 3rd GGP Robert James Mann 1753-1801 James Mann 1745-? 77 -1 Need Y-DNA
36 3rd GGP Mary Jane Wilson 1760-1801 Mary Brittain Cantrell c1755-? 80 -2 Incorrect but have correct mtDNA
37 3rd GGP John Herrell 1761-1829 John Harrold c1750-1825 19 -1 Yes
38 3rd GGP Hallie Mary [LNU] c1750-1826 18 -2 Need mtDNA through all females
39 3rd GGP Michael McDowell-McDaniel 1737-1834 Michael McDowell c17471840 25 -2 Yes
40 3rd GGP Sarah Isabel “Liza” Hall Isabel [LNU] c1753-1840/1850 27 -2 Need mtDNA through all females
41 3rd GGP James Lee Clarkson 1775-1815 James Lee Clarkson c1775-1815 170 2 Yes
42 3rd GGP Sarah Helloms Cook 1775-1863 Sarah Cook 1775-1863 188 1 Yes
43 3rd GGP Samuel Munsey-Muncy 1767-1830 Samuel Muncy after 1755-before 1820 108 1 Yes
44 3rd GGP Anne W. Workman 1768-1830 Anne Nancy Workman 1760/1761-after 1860 107 -1 Yes
45 3rd GGP Rev. Nicholas Speak 1782-1852 Nicholas Speak/Speaks 1782-1852 93 2 Yes
46 3rd GGP Sarah Faires Speak 1782-1865 Sarah Faires 1786-1865 93 -1 Yes
47 3rd GGP Andrew McKee 1760-1814 Andrew McKee c1760-1814 86 2 Yes
48 3rd GGP Elizabeth 1765-1839 Elizabeth [LNU] c1767-1838 88 2 Yes
49 4th GGP Moses Estes 1742-1815 Moses Estes c1742-1813 27 1 Yes
50 4th GGP Luremia Susannah Combes 1747-1815 Luremia Combs c1740-c1820 33 -1 Need mtDNA through all females
51 4th GGP Marcus Younger 1735-1816 Marcus Younger 1730/1740-1816 30 2 Yes
52 4th GGP Susanna Hart* 1725-1806 Susanna [possibly] Hart c1740-before 1805 26 -1 Yes
53 4th GGP William Moore 1725-1757 James Moore c1718-c1798 25 -2 Yes
54 4th GGP Margaret Hudspeth 1725-1808 Mary Rice c1723-c1778/1781 26 -2 Need Mary Rice mtDNA through all females
55 4th GGP Samuel “Little Sam” Harwell 1716-1793 Incorrect 36 -2
56 4th GGP Abigail Anne Jackson 1712-1793 Incorrect 33 -2
57 4th GGP Rawleigh “Rolly” Dodson 1730-1793 Raleigh Dodson 1730-c1794 19 2 Yes
58 4th GGP Elizabeth Mary Booth 1728-1793 Mary [LNU] c1730-1807/1808 27 -2 Need Mary’s mtDNA through all females
59 4th GGP Nancy Ann Steele 1728-1836 Unknown mother of Jane [LNU], wife of Lazarus Dodson 16 -2 Need Jane’s mtDNA through all females
60 4th GGP James Campbell 1742-1931 Charles Campbell c1750-c1825 28 -2 Y DNA confirmed NOT this line
61 4th GGP Letitia Allison 1759-1844 Incorrect 31 -2
62 4th GGP Jacob Dobkins 1750-1833 Jacob Dobkins 1751-1835 91 1 Yes
63 4th GGP Dorcas (Darcas) Johnson 1750-1831 Darcus Johnson c1750-c1835 92 2 Yes
64 4th GGP John Francis Vannoy 1719-1778 John Francis Vannoy 1719-1778 47 2 Yes
65 4th GGP Susannah Baker Anderson 1720-1816 Susannah Anderson c1721-c1816 59 2 Need mtDNA through all females
66 4th GGP Thomas Hildreth Henderson 1736-1806 Charles Hickerson c1725-before 1793 37 -2 Have Hickerson Y-DNA
67 4th GGP Mary Frances “Frankie” McIntire 1735-1811 Mary Lytle c1730-before 1794 37 -2 Need mtDNA from all females
68 4th GGP Rev. George W. McNeil 1720-1805 George McNiel c1720-1805 143 1 Yes
69 4th GGP Mary Sarah Coates 1732-1782 Sarah/Sallie or Mary [maybe] Coates c1740-1782/1787 139 1 Need mtDNA through all females
70 4th GGP John James Sheppard Shepherd 1734-1810 Robert Shepherd 1739-1817 136 -2 Have Shepherd Y-DNA
71 4th GGP Sarah Ann Rash 1732-1810 Sarah Rash 1748-1829 178 -1 Yes
72 4th GGP John Crumbley 1737-1794 William Crumley 1736-1793 77 -2 Have Crumley Y-DNA
73 4th GGP Hannah Mercer 1742-1774 Hannah Mercer c1740-c1773 73 2 Yes
74 4th GGP John Hanner (Hainer) Incorrect 19 -2
75 4th GGP Jotham Brown 1740-1799 Incorrect 183 -2 Have Brown Y-DNA
76 4th GGP Phoebe Ellen Johnston 1742-1810 Incorrect 182 -2
77 4th GGP Moses Johnston 1746-1828 Incorrect 45 -2
78 4th GGP Eleanor Havis 1753-1837 Incorrect 47 -2
79 4th GGP Henry Boulton 1693-1737 John Bolton before 1693-after 1729 23 -2 Have Bolton Y-DNA
80 4th GGP Elizabeth Bryan 1658-1742 Elizabeth Goaring 1795-1729 22 -2 Need mtDNA through all females
81 4th GGP Thomas Curry (Corry) 1705-1729 Thomas Curry 1705-1729 25 2 Need Curry Y-DNA
82 4th GGP Monique “Moniky” Curry 1704-1729 Monique Demazares 1705-1729 25 1 Need mtDNA through all females
83 4th GGP Robert James Mann 1740-1787 John Mann 1725-1774 26 -2 Need Mann Y-DNA
84 4th GGP Sarah Susannah McCloskey 1716-1797 Frances Carpenter 1728-1833 28 -2 Need mtDNA through all females
85 4th GGP Benjamin “Col. Ben” Colonel Wilson 1733-1814 Incorrect 28 -2
86 4th GGP Mary Ann Seay 1735-1814 Incorrect 29 -2
87 4th GGP John Hugh McDowell 1695-1742 Michael McDowell c1720-after 1755 7 -2 Incorrect but have correct Y-DNA McDowell Y-DNA
88 4th GGP Mary Magdalena Woods 1705-1800 Incorrect 8 -2
89 4th GGP Ebenezer Hall 1721-1801 Incorrect 6 -2
90 4th GGP Dorcas Abbott Hall 1728-1797 Incorrect 6 -2
91 4th GGP George Middleton Clarkston/Clarkson 1745-1787 Incorrect 98 -2 Incorrect but have correct Clarkson Y-DNA
92 4th GGP Catherine Middleton 1764-1855 Incorrect 94 -2
93 4th GGP William Henry Cook 1750-1920 Joel Cook before 1755 – ? 83 -2 Need Cook Y-DNA
94 4th GGP Elizabeth Wall 1747-1826 Alcy [LNU] c 1755-? 91 -2 Yes
95 4th GGP Obediah Samuel Muncy 1735-1806 Samuel Muncy 1740-1799 33 -1 Yes
96 4th GGP UFN Obediah Muncy wife Unknowen (sic) 1728-1843 Agnes Craven 1745-1811 27 -2 Need Agnes Craven Need mtDNA through all females
97 4th GGP Joseph Workman 1732-1813 Joseph Workman c1736-c1813 64 2 Yes
98 4th GGP Phoebe McRay McMahon 1745-1826 Phoebe McMahon c1741-after 1815 64 1 Yes
99 4th GGP Charles Beckworth Speake/Speaks 1741-1794 Charles Speake c1731-1794 47 1 Yes
100 4th GGP Jane Connor 1742-1789 Incorrect, unknown first wife 40 -2 Need mtDNA through all females
101 4th GGP Gideon Farris 1748-1818 Gideon Faires before 1749-1821 54 -1 Yes
102 4th GGP Sarah Elizabeth McSpadden 1745-1821 Sarah McSpadden c1745-c1820 55 1 Yes
103 4th GGP Hugh McKee 1720-1795 Unknown 34 -2
104 4th GGP Mary Nesbit 1732-1795 Unknown 35 -2
105 4th GGP Private (sic) Unknown father of Elizabeth, wife of Andrew McKee 35 -2
106 4th GGP Anna Elizabeth Carney [wife of “private”] Incorrect 35 -2
107 5th GGP Moses Estes 1711-1788 Moses Estes 1711-1787 13 2 Yes
108 5th GGP Elizabeth Jones “Betty” Webb 1718-1782 Elizabeth [LNU] 1715/1720-1772/1782 5 -2 No known daughters
109 5th GGP George W. Combs 1714-1798 John Combs 1705-1762 6 -2 Need Combs Y-DNA
110 5th GGP Phebe Wade ?-1830 Incorrect 6 -2 Need mtDNA of John Combs first wife through all females
111 5th GGP Sarah Ferguson 1700-1781 Incorrect 3 -2
112 5th GGP Anthony Hart 1700-? Possibly Anthony Hart but no evidence 3 0
113 5th GGP Charles Rev. Moore 1685-1734 Incorrect 4 -2
114 5th GGP Mary Margaret Barry Moore 1690-1748 Incorrect 4 -2
115 5th GGP Ralph Hudspeth II* 1690-1776 Incorrect 9 -2
116 5th GGP Mary Carter 1699-1737 Incorrect 3 -2
117 5th GGP Samuel Harwell 1674-1767 Incorrect 3 -2
118 5th GGP Mary Ann Coleman*8th Ggm (sic) 1678-1723 incorrect 6 -2
119 5th GGP Ambrose (Sar) Jackson 1695-1745 Incorrect 6 -2
120 5th GGP Anne Amy Wyche 1692-1765 Incorrect 6 -2
121 5th GGP George E Dodson (DNA) (sic) 1702-1770 George Dodson 1702-after 1756 23 -1 Yes
122 5th GGP Margaret Dogett Dagord 1708-1770 Margaret Dagord 1708-? 24 1 Need mtDNA through all females
123 5th GGP James Booth 1700-1741 Incorrect 4 -2
124 5th GGP Frances Dale Booth (15great aunt) (sic) 1688-1777 Incorrect 3 -2
125 5th GGP Samuel Scurlock Steele 1709-1790 Incorrect 2 -2
126 5th GGP Robert R. Campbell 1718-1810 Incorrect 34 -2
127 5th GGP Lady: Letitia Crockett 1719-1760 Incorrect 8 -2
128 5th GGP John A. Dobkins 1717-1783 John Dobkins c1710-c1788 20 1 Yes
129 5th GGP Mary Elizabeth Betty Moore 1739-1815 Elizabeth [LNU] c1711-? 20 -2 Need mtDNA through all females
130 5th GGP Peter Johnson 1715-1796 Peter Johnson/Johnston c1720-c1794 0 1 Yes
131 5th GGP Mary Polly Phillips 1729-1790 Mary Polly Phillips c1726-? 1 2 Need mtDNA through all females
132 5th GGP Francis Janzen Vannoy Van Noy 1688-1774 Francis Vannoy 1688-1774 8 1 Yes
133 5th GGP Rebecca Anna Catherine Anderson 1698-1785 Rebecca Annahh Andriesen/ Anderson 1697-1727 13 -1 Need mtDNA through all females
134 5th GGP Cornelius Anderson (Andriessen) 1670-1724 Kornelis Andriesen 1670-1724 5 2 Yes
135 5th GGP Annetje Annah Opdyck 1670-1746 Annetje Opdyck c1675-after 1746 5 2 Need mtDNA through all females
136 5th GGP Thomas Hildret Henderson 1715-1794 Incorrect

 

3 -2
137 5th GGP Mary Frisby 1709-1794 Incorrect 3 -2
138 5th GGP Alexander (Alex) McEntire 1707-1802 Incorrect 12 -2
139 5th GGP Hannah Janet McPherson 1711-1792 Incorrect 15 -2
140 5th GGP Thomas James McNeil 1699-1803 Incorrect 25 -2
141 5th GGP Mary Hannah Parsons 1697-1784 Incorrect 27 -2
142 5th GGP John Coates 1699-1732 Incorrect 21 -2
143 5th GGP Sarah Ann Titcombe 1710-1732 Incorrect 22 -2
144 5th GGP George Sheppard, Shepherd 1716-1751 George Shepherd c1700-1751 42 1 Have Shepherd Y-DNA
145 5th GGP Elizabeth Mary Angelicke Day (Daye) 1699-? Elizabeth Mary Angelica Daye 1699-after 1750 41 1 Need mtDNA through all females
146 5th GGP Joseph Rash 1722-1776 Joseph Rash before 1728-c1767 36 1 Yes
147 5th GGP Mary Warren 1726-1792 Mary Warren 1726-? 36 1 Yes
148 5th GGP James L Crumley/Cromley 1712-1784 James Crumley c1711-1764 11 -1 Yes
149 5th GGP Catherine Bowen Gilkey 1712-1784 Catherine [LNU] c1712-c1790 11 -1 Need mtDNA through all females
150 5th GGP Edward Willis Mercer 1704-1763 Edward Mercer 1704-1763 5 1 Yes
151 5th GGP Ann Lueretias Coats 1710-1763 Ann [LNU] 1699/1705-c1786/1790 5 -2 Need mtDNA through all females
152 5th GGP Daniel Brown 1710-1798 Incorrect 39 -2
153 5th GGP Mary Brown 1717-1777 Incorrect 40 -2
154 5th GGP Zopher “Elder” Johnson/Johnston* 1700-1804 Incorrect 51 -2
155 5th GGP Elizabeth Williamson Cooper 1703-1794 Incorrect 49 -2
156 5th GGP Joseph Benjamin Johnson (6th ggf) (sic) 1709-1795 Incorrect 3 -2
157 5th GGP Elizabeth Shepard 1709-1786 Incorrect 3 -2
158 5th GGP John (Boulware) Havis (Rev/war) (sic) 1728-1807 Incorrect 4 -2
159 5th GGP Susannah Gentile Boullier (Boulware) 1733-1817 Incorrect 3 -2
160 5th GGP Henry Boulton Jr. 1652-1720 Incorrect 22 -2
161 5th GGP Elizabeth Bryan 1658-1742 Incorrect, linked in two generations Duplicate not processing -2
162 5th GGP Norton Bryan 1634-1672 Incorrect 2 -2
163 5th GGP Elizabeth Middlemore 1640-1658 Incorrect 2 -2
164 5th GGP Guillam Demazure 1685-1706 Guillam Demazares before 1685-after 1705 2 2 Need Y-DNA
165 5th GGP Marie Demazure 1686-1705 Marie [LNU] before 1686-after 1705 2 1 Need mtDNA through all females
166 5th GGP John Robert Mann {Minnis} 1711-1772 Incorrect 3 -2
167 5th GGP Anne Vincent 1711-1747 Incorrect 3 -2
168 5th GGP Joseph David McCluskey 1693-1756 Incorrect 3 -2
169 5th GGP Barbara S Rohlflag 1695-1755 Incorrect 3 -2
170 5th GGP Willis Wilson, Jr. 1710-1794 Incorrect 4 -2
171 5th GGP Elizabeth Goodrich ?-1789 Incorrect 4 -2
172 5th GGP Reverend James Matthew Seay 1696-1757 Incorrect 7 -2
173 5th GGP Elizabeth (James M Seay) Wilson or Lewis 1696-1752 Incorrect 6 -2
174 5th GGP Ephriam Samuel McDowell 1673-1774 Murtough McDowell before 1700-1752 0 -2 Yes
175 5th GGP Margaret Elizabeth Irvine 1674-1728 Eleanor [LNU] before 1700-after 1730 1 -2 Need mtDNA through all females
176 5th GGP Michael Marion Woods 1684-1782 Incorrect 9 -2
177 5th GGP Mary Catherine Woods 1690-1742 Incorrect 9 -2
178 5th GGP Joseph Hall 1680-1750 Incorrect 0 -2
179 5th GGP Sarah Kimball Hall Haley 1686-1752 Incorrect 0 -2
180 5th GGP Edward Abbott 1702-759 Incorrect 0 -2
181 5th GGP Dorcas Mehitable Chandler 1704-1748 Incorrect 0 -2
182 5th GGP James Anderson Clarkston 1717-1816 Incorrect 17 -2
183 5th GGP Thomasina Elizabeth Middleton 1720-1796 Incorrect 17 -2
184 5th GGP Harlace Middleton Incorrect 5 -2
185 5th GGP Capt. Vallentine Felty Kuke Cook 1730-1797 Incorrect 25 -2
186 5th GGP Michael Wall 1728-1749 Incorrect 11 -2
187 5th GGP Rebecca Chapman 1725-1791 Incorrect 11 -2
188 5th GGP Samuel Scott Muncy 1712-1786 Samuel Muncy 1712-after 1798 50 -1 Yes
189 5th GGP Mary Daughtery Skidmore 1710-1797 Mary Skidmore c1710-1811 51 -1 Need mtDNA through all females
190 5th GGP Abraham Woertman Workman 1709-1749 Abraham Workman 1709-1813 26 1 Yes
191 5th GGP Hannah Annetje (Smith) Workman 1706-1747 Annetie Smith 1714-? 26 1 Need mtDNA through all females
192 5th GGP Hugh McMahon 1699-1749 Hugh McMahon 1699-1749 17 2 Need Y-DNA
193 5th GGP Agnas Norton 1699-1747 Agnas Norton after 1700-? 17 2 Need mtDNA through all females
194 5th GGP Thomas Bowling Speake V 1698-1765 Thomas Speak c1634-1681 11 -2 Yes
195 5th GGP Jane Barton/Brisco Smoote 1714-1760 Elizabeth Bowling 1641-before 1692 12 -2 No known daughters
196 5th GGP William Farris 1714-1776 William Faires/Farris before 1728-1776 11 1 Yes
197 5th GGP Deborah Johnson Faries 1734-1812 Deborah [LNU] 1734-1812 11 1 Need mtDNA through all females
198 5th GGP Thomas of Borden’s Grant McSpadden 1720-1765 Thomas McSpadden c1721-1785 19 1 Yes
199 5th GGP Mary Dorothy Edmondson (Edmundson, Edmiston, Edmisten) 1721-1786 Dorothy [possibly Edmiston] 1721-? 28 1 Yes
200 5th GGP Thomas Alexander McKee, Sr 1693-1769 Incorrect 7 -2
201 5th GGP Tecumseh Margaret Opessa Pekowi 1695-1780 Incorrect 6 -2
202 5th GGP Thomas F Nesbit 1707-1783 Incorrect 7 -2
203 5th GGP Jean McKee 1707-1790 Incorrect 7 -2
Total -163

Please note that I will provide a free Y-DNA testing scholarship at FamilyTreeDNA for any male descending through all men from the male ancestor where it’s noted that Y-DNA is needed. Y-DNA is typically the surname line in most western countries.

I will also provide a mitochondrial DNA testing scholarship at FamilyTreeDNA for anyone who descends from the women where it’s noted that mitochondrial DNA is needed. Mitochondrial DNA passes through all females to the current generation, which can be male or female.

If this is you or a family member, please reach out to me.

The Scores

Of the 203 ancestors for which Ancestry provided a Potential Ancestor, they could have amassed a total of 406 points if each one provided an accurate name and accurate birth and death dates within a reasonable margin. If they were completely wrong on every one, they could have earned a negative score of -406.

Ancestry’s ThruLine accuracy score was -163, meaning they were wrong more than right. Zero was the break-even point where there was equally as much accurate information as inaccurate.

In fairness though, the older ancestors are more likely to be wrong than the more recent ones, and there are more older ancestors given that ancestors double in each generation. Once Ancestry provided a wrong ancestor, they continued down that wrong path on up the tree, so once the path was incorrect, it never recovered.

Regardless of why, Ancestry suggested incorrect information, and as we know, many people take that information to heart as gospel. In fact, many people even call these *TrueLines* instead of *ThruLines*.

Ok, how did Ancestry do?

Category Total Percent
+2 – Both Name and Date Accurate or Within Range 24 11.82%
+1 – Name and/or Date Partly Accurate 41 20.2%
0 – Uncertain 1 0.49%
-1 – Neither Name nor Date Accurate, but Enough Context to Figure Out With Research 22 10.84%
-2 – Inaccurate, the wrong person 115 56.65%

 Take Aways – Lessons Learned

This leads us to the lessons learned portion.

  • Never, ever, take ThruLines or Potential Ancestors at face value. They are hints and nothing more. Ancestry states that “ThruLines uses Ancestry trees to suggest how you may be related to your DNA matches through common ancestors.” (Bolding is mine.)
  • Verify everything.
  • Never simply copy something from another tree or accept a hint of any kind without a thorough evaluation. No, your ancestor probably did not zigzag back and forth across the country every other year in the 1800s. If you think they did, then you’ll need lots of information to prove that unusual circumstance. Extraordinary circumstances require extraordinary proof.
  • Never add extraneous “things” to names like “DNA match” or name someone “Private,” unless, of course, that was actually their name. Extraneous “pieces” in names confuses Ancestry’s search routines too, so you’re hurting your own chances of finding relevant information about your ancestor, not to mention ThruLines for others.
  • Naming someone “Private” isn’t useful if they are attached to other non-private people as ancestors, siblings and descendants. Just sayin…
  • Once the first incorrect ancestor is suggested, ThruLines continues to go up the incorrect tree.
  • In the the older or oldest generations, a small number of DNA matches for a particular ancestor may simply mean that lots of people are beyond the ThruLines match reporting thresholds. Unfortunately, Ancestry does NOT have a function where you can hunt for matches by ancestor.
  • In the the older or oldest generations, a small number of DNA matches may also mean it’s either the wrong ancestor, or they have few descendants, or few have tested.
  • The number of matches, in either direction, is not directly predictive of the accuracy of the suggested ancestor.
  • One of the best ways to validate ancestor accuracy is to match other descendants through multiple children of the ancestor, assuming that the children have been assigned to that ancestor properly. Recall George Middleton Clarkson where the three male children assigned to him do not have the same Y-DNA.
  • Another validation technique is to also match descendants of both parents of the ancestor(s) in question, through multiple children.
  • Remember that paper trail documentation is an extremely important aspect of genealogy.
  • Do not rely on trees without sources, or on trees with sources without verifying that every source is actually referencing this specific person.
  • Same name confusion is a very real issue.
  • For male ancestors, always check the Y-DNA projects at FamilyTreeDNA to verify that males attached as children have descendants with matching Y-DNA.
  • Always test males for their surname line. You never know when you’ll either prove or disprove a long-held belief, or discover that someplace, there has been a biological break in that line.
  • Y-DNA matches can provide extremely valuable information on earlier ancestral lines which may lead to breaking through your brick wall.
  • Mitochondrial DNA testing and matching of descendants is sometimes the only way of proving maternity or discovering matches to earlier ancestors.
  • Both Y-DNA and mitochondrial DNA, via haplogroups, can provide origins information for that one specific line, meaning you don’t have to try to figure out which ancestor contributed some percentage of ethnicity or population-based DNA.
  • Everyone can test their mitochondrial DNA, inherited from their direct matrilineal line, and men can test their Y-DNA, which is their surname line.
  • Remember that ThruLines can only be as good as the trees upon which it relies.
  • Review the source trees for each Potential Ancestor provided, evaluating each source carefully, including notes, images and web links. You just never know where that diamond is hiding.

How Can Ancestry Improve ThruLines, Potential Ancestors and Provide Customers with Better Tools?

To improve ThruLines and/or Potential Ancestors, Ancestry could:

  • My #1 request would be to implement a “search by ancestor” feature for DNA matches. This would be especially beneficial for situations where matches are beyond the 5GG threshold, or if someone is testing a hypothesis to see if they match descendants of a particular person.
  • Provide a “dismiss” function, or even a function where a customer could provide a reason why they don’t believe a connection or suggestion is accurate. This could travel with that link for other users as well so people can benefit from commentary from and collaboration with others.
  • Provide all DNA matches to people who share a specific ancestor, even if one person is beyond the 5 GG level. Currently, if both people are beyond that threshold, the match won’t show for either, so that’s no problem. The hybrid way it works today is both confusing and misleading and the hard cutoff obfuscates matches that have the potential to be extremely useful. Often this is further exacerbated by the 20 cM thresold limit on shared matches.
  • Add a feature similar to the now defunct NADs (New Ancestor Discoveries) where Ancestry shows you a group of your matches that descend from common ancestors, but those ancestors are NOT connected to anyone in your tree. However, DO NOT name the tool New Ancestor Discoveries because these people may not be, and often are not, your ancestors. If you’re related to a group of people who all have these people in THEIR tree as ancestors, that alone is a powerful hint. You might be descended from their ancestors, from the spouse of one of their children – something. But it’s information to work with when you have brick walls where Ancestry cannot connect someone as a potential ancestor directly to someone in your tree. Even locations of those brick-wall-breaker possible ancestors would be a clue. In fact, it’s not terribly different than the Potential Ancestors today, except today’s Potential Ancestors are entirely tree based (beyond ThruLines) and dependent upon connecting with someone in your tree. These new Brick-Wall-Breaker Potential Ancestors are (1.) NOT connected to your tree, and (2.) are all a result of DNA matches with people who have these ancestors in their tree.
  • If you already map your segment information at DNAPainter, the Brick-Wall-Breaker ancestral lineage connection would be immediately evident if Ancestry provided DNA segment location information. In other words, there are answers and significant hints that could be available to Ancestry’s customers.
  • Extend ThruLines for (at least) another two generations. Today ThruLines ends at the point that many people begin running into brick walls about the time the US census began. Using a 25-year generation, the current algorithm gives you 175 years (about 1825 starting with the year 2000), and a 30-year generation gives you 210 years (about 1790). Extending that two additional generations would give testers two more generations, several more Potential Ancestors, and 50-60 more years, approaching or reaching across the US colonial threshold.
  • Extending ThruLines and adding that Brick-Wall-Breaker functionality wouldn’t be nearly as important if customers could search by ancestor and download their match with direct ancestor information, similar to the other vendors, but since we can’t, we’re completely reliant on ThruLines and Potential Ancestors for automated connections by ancestor. Downloading your match list including a list of each person’s direct ancestors and matching segments would provide resources for many of these customer needs, without Ancestry having to do significant major development. If nothing else, it could be an interim stepping-stone.

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Project Administrators: How to Prepare Your Project for FamilyTreeDNA’s New Group Time Tree

Last week, FamilyTreeDNA  gave us a sneak peek into their new Group Time Tree that displays Big Y testers in time tree format within group projects that they have joined. I wrote about this in the article, Sneak Preview: Introducing the FamilyTreeDNA Group Time Tree.

The Group Time Tree is an excellent way to recruit new members, because people can see how other people with the same surname fit together in terms of common ancestors. Additionally, the time tree shows when they are related meaning TMRCA, time to the most recent common ancestor.

Here’s an example of the Estes project group time tree with some of the subgroups I’ve defined selected.

Click to enlarge any image

Feel free to view the public Estes project, here, and the Estes Group Time Tree, here.

View my subgroupings, and how they appear on the Group Time Tree. See if that’s how you want your project to work. You can use the search box to search for your own project, or other projects.

Preparation

As a volunteer project administrator, there are a number of things you’ll either need to do, or may want to do to prepare for the wider introduction of the exciting Group Time Tree. You’ll want your project members to benefit as much as possible.

Project Must Be Publicly Displayed

In order for your project to be able to be displayed in the Group Time Tree format, it must be a public project, meaning it has a public presence and viewing is not restricted to members only. The minimal selection for the Group Time Tree is that Y SNPs must be public.

Under Project Administration, Public Website, you’ll see the following configuration options.

Please click to enlarge

  • “Display Project Statistics” must be checked to facilitate displaying the Country Map showing the locations around the world of your Big Y project members.
  • You will want to enable the members Surname, and the Earliest Known Ancestor if you want them to display in the Group Time Tree. If at least one of these is not selected, the Group Time Tree will not be displayed.
  • Option 1: Under “YDNA Options,” at right, if you select “Public” for “Member DNA Test (YDNA) Results,” both SNP and haplogroup results will be shown in the public project, but of course, only Big Y tester’s results are shown on the Group Time Tree. You do NOT have to select public here to enable the Group Time Tree, but if you DON’T select public here, then you MUST select “Public” for “Y DNA SNP” (Option 2) or the Group Time Tree will not be enabled.
  • If you select either “Project Members Only” or “Do Not Display” for “Member DNA Test (YDNA) Results,” there will be no public project display for individual results.
  • Option 2: If you do NOT select “Public” for “Y-DNA SNP”, there will be no Group Time Tree display unless the “Member DNA Test (YDNA) Results” (Option 1) are set to Public.

In other words, for the Group Time Tree to be enabled, Option 1 or Option 2 MUST be set to “Public.”

Here’s a chart to help.

Field Selection Group Time Tree Result
Display Project Statistics Not selected No Country Map displayed.
Display Project Statistics Selected Country Map Displayed if group project publicly enabled.
Members Last Name and/or Earliest Known Ancestor Must select one or both If at least one is not selected, Group Time Tree is not enabled.
Option 1: Member DNA Test (YDNA) Results Public STR and haplogroup results show in BOTH the traditional public project display and the Group Time Tree.
Option 1: Member DNA Test (YDNA) Results Project Members Only or Do Not Display Will not display in the traditional project display. If this option is set to anything but Public, then Option 2 must be Public to enable the Group Time Tree.
Option 2: Y-DNA SNP Public Will display Group Time Tree even if Member DNA Test Results are not public.
Option 2: Y-DNA SNP Not Public Will NOT display Group Time Tree unless Option 1 set to Public.
Option 1 and Option 2 Neither set to Public No public group project display and no Group Time Tree.
Option 1 and Option 2 Both set to Public Public display of STR results, haplogroup, SNP results, and Group Time Tree.

Don’t forget to “Save” when you’re finished with your project configuration.

Country Map

For the Country Map to be displayed, you must enable the Project Statistics, above.

The Country Map reflects Big Y results for everyone within the project. If you do not want to include the Y-DNA of men within the project who not associated with the direct paternal surname of the project, you can disable the public display of their Y-DNA results.

An example would be a male who has joined a surname project because he is autosomally related to the surname, but does not carry the Y-DNA of that surname ancestor. I have this situation a LOT in the Estes project, because I “gather” my family members there and encourage cousins to join.

Here’s how to disable the display of those results within the project.

Suppress Display of Tests of Individuals

Select Public Results Display Settings.

Then, select the option for what you wish to implement for the various project members.

Options are:

  • Show Y DNA
  • Hide Y DNA
  • Show mtDNA
  • Hide mtDNA

Group Project Subgroupings

In the Estes project, I opted to colorize the descendants of Abraham Estes, the immigrant, all teal. Now, with the new Group Time Tree subgroup display, I may wish to change that. I might want the descendants of different sons to be different colors.

I definitely want different genetic Estes lineages to be different colors.

If you have people in your project whose Y-DNA is not relevant to the project, and you don’t want to suppress the display of their Y DNA results, you can group them together in a separate subgroup so you can deselect that group altogether when displaying the Group Time Tree, although their results will appear on the Country Map.

You can create subgroups and then group members under Project Administration, Member Subgrouping.

Weekly Updates

The Group Time Tree is only updated once a week, so there will be approximately a week’s delay after you make project configuration changes before you will see the results reflected in the Group Time Tree.

That’s why it’s a good idea to review your settings now so that when it goes live, you’ll be ready and it will display the way you want.

Padlock

If one of your project members has a padlock in place of their surname and Paternal Ancestor, they are a project member but have not opted-in to the public display within the project.

In their own settings, they can change that by Opting-In to the Group Project Profile Sharing. You can provide them with these instructions.

Under Account Settings, select Project Preferences.

Then, scroll down to Group Project Profile.

Select Opt-in to Sharing.

Encourage Big Y Upgrades and General Fund Donations

I’ve been encouraging everyone in my projects to upgrade to the Big Y-700 and providing several scholarships. Don’t hesitate to send bulk emails to your project members asking for general fund donations to upgrade someone who is willing but needs a scholarship. I’ve had amazingly good luck with the scholarship approach and the Big Y results benefit everyone in the project, including women who don’t have a Y chromosome to test.

Encourage Members to Complete Earliest Known Ancestor and Locations

The three haplotrees supported by FamilyTreeDNA  all depend on location information:

  • The Public Y-DNA and Mitochondrial DNA Haplotrees include country flags
  • The Discover Haplogroup tool includes the Country Frequency and country flags under the Haplogrop Story
  • The Group Time Tree includes country flags for the Earliest Known Ancestor (EKA) of individual testers

Please encourage members to complete their Earliest Known Ancestor name and location. Remember, this information is NOT extracted from uploaded trees.

In a few days, I’ll publish step-by-step instructions for how to add EKA and location information.

Now is a good time to update your project selections so you’ll be ready for the official rollout of the Group Time Tree.

Accessing Your Group Time Tree

Until the official rollout, there are two ways to access your group’s time tree:

  1. Click here and then enter the name of the group project in the search box.
  2. Replace the word “estes” with your project’s exact name in the following url: https://discover.familytreedna.com/groups/estes/tree

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Sneak Preview: Introducing the FamilyTreeDNA Group Time Tree

Drum roll please!!!

This is a sneak peek of a new tool being rolled out by FamilyTreeDNA in a VERY EARLY BETA soft launch.

Right now, the only way to view the Group Time Tree is by using the link to my group project, below, then, search for a different project name. I’ll show you, but first, let’s talk about this VERY COOL new tool for Big Y group project results.

The Group Time Tree is a feature that group project administrators and project members have wanted for a VERY long time!

At FamilyTreeDNA, the words “group” and “project” are both used to describe Group Projects which are projects run by volunteer administrators. FamilyTreeDNA customers can join any number of projects to collaborate with other testers who have a common interest.

Four basic types of public group projects exist:

  • Surname Group Projects
  • Haplogroup Group Project
  • Geographic Group Projects which can include other types of special interests
  • Mitochondrial Lineage Group Projects

What Does the Regular Discover Time Tree Do?

The Discover tool that was recently introduced (here) provides a Time Tree view of any specific haplogroup (but no surnames or ancestors) in relation to:

  • Big Y testers (not SNP-only testers and not STR results because they can’t be used for time-to-most-recent-common-ancestor (TMRCA) calculations)
  • Ancient Connections
  • Notable Connections

Using the regular Discover Haplogroup took, here’s an example of the haplogroups of the Estes (and other) men, beginning with the R-BY154784 lineage near the bottom. Time is at the top. The only way you know they are Estes men is because I told you. The Discover tool is haplogroup specific, not surname specific.

What Does the New Group Time Tree Do?

The brand-new Group Time Tree is an extension of the Discover technology, but focused within projects and includes both surnames and earliest known ancestors for people who have opted-in to have their results display in public group projects. This tool only works for group projects that have the public display enabled, and includes only data that the administrator has included. Not all administrators have enabled the display of the “Paternal Ancestor” field, for example.

Now, you can see Big Y group project members:

  • All mapped together on a genetic time tree, or
  • By project subgroups defined by the project administrator

I want to provide a friendly reminder that this is a BETA tool and will be fully rolled out in the not-too-distant future. In the meantime, it’s fun to have a sneak preview!!!

Estes DNA Group Project

Before going further, here are some screen shots of the Estes DNA Group Project for comparison.

I’ve created multiple color-coded groups within the project based on the genealogy and Y-DNA matches of the participants. The teal groups all descend from the Estes line from Kent, England, and match each other. Since not every man with an Estes surname descends from this line, there are also other color-identified groups.

Additionally, in the Estes project, I do not restrict members to males with the Estes surname, so there are several non-Estes men who have joined. Their Y-DNA shows in the project so I have placed them in an “Autosomal – Not Y DNA” group because they are Estes-related autosomally, not through the direct Y-DNA surname line.

I’ve grouped other clusters of Estes-surname males who do not descend from the Kent line into other color-coded groups, which turned out to be extremely beneficial for the new Group Time Tree.

Let’s see how the Estes Project works with the new Group Time Tree.

The Estes Group Time Tree

Here’s the link to the Estes Group Time Tree. I’ll be using the Estes data for this article, then show you how to view other group projects of your choosing from this link. So please read these instructions.

The Group Time Tree shows a genetic family tree of direct paternal lineages on a time scale. It shows how Big Y tested members of Group Projects are related to each other and when their shared ancestors are estimated to have lived.

Click on any image to enlarge

This is the first display I see.

Looking around, I notice the menu.

Select either “All search results” or the group or groups you want to view.

If you compare the groups above on the menu to the project screen shots, you’ll notice that the colors along the left side equate to the colors of the project subgroupings. We have Eastridge, meaning those who are not genetically Estes, then “Estes Autosomal, Not Y DNA,” then a group of teal project groupings who descend from the Estes Kent line.

I clicked on “Select All Search Results” which displayed everyone in the project from all haplogroups. This resulted in the Estes men being scrunched on the right-hand side, below, due to the long timeframe involved, which is not useful.

What is VERY useful is the Paternal Ancestor column which is the earliest known ancestor (EKA) for each tester’s line. Hopefully, this will encourage everyone to enter their EKA and location. You can find instructions, here.

Ok, let’s “De-select all” and just focus on specific groups.

Much better. I can see a much more relevant timeline for the men in the line being researched. The Estes men are no longer scrunched up along the right side because the left-to-right time is much shorter – 1500ish vs 100,000ish years.

The colored dot on the location flag indicates which colored group these men have been assigned to by the project administrator.

It’s very easy to see if two groups (or two men) descend from the same paternal line.

Next, I added the Eastridge group back into the display as an experiment.

The common ancestor between the single Eastridge Big Y tester and the Estes men is back in the Stone Age, about 35,000 BCE.

I do feel compelled to mention that this information can’t necessarily be extrapolated for all Eastridge men, because there are a few men with Eastridge surnames that are actually genetically Estes men. Someplace along the line, the name got changed. This is the perfect example of why every man needs to test their Y-DNA.

You can remove the menu by clicking on Subgroups.

You make the menu re-appear by clicking on Subgroups again.

I LOVE – LOVE – LOVE that I can see the ancestors and the clusters and I didn’t have to do this grouping myself. These men could have been in one big group in the project and the software would have created the clusters for me.

For example, there has been debate for decades about whether or not Moses Estes of South Carolina was descended from Abraham Estes, the immigrant, and if so, through which son.

Based on the Big Y-700 test (the Big Y-500 did not reveal this) and clustering, we know assuredly that Moses Estes of SC:

  • Descended from the Kent line
  • Descended from Abraham who has mutation R-BY490
  • Did NOT descend from Abraham’s son Moses whose descendants have mutation R-ZS3700

I’ve been keeping this project spreadsheet for years now. It’s wonderful to be able to see a genetic tree visualization. The Big Y men are blocked in red.

I’m hopeful that the balance of the men who have NOT yet taken the Big Y-700 will upgrade now because there’s so much more to learn. This is especially true for men who reach a brick wall prior to Abraham. The Big Y-700 test, perhaps combined with STRs, will place them in a lineage.

I’m sure that we would discover new haplogroups among Abraham’s descendants if they would all upgrade. There are more men who have not tested at the Big Y level than those that have.

Display Options

Under display options, you can add Ancient or Notable connections, remove confidence bars, and adjust the tree height.

Discoveries for Administrators

As a project administrator, one thing I discovered is that I might want to regroup within some of my projects to take full advantage of the color coding on the Group Time Tree. If you are a project administrator, you may want to ponder the same.

I also discovered that when I clicked on Country Map, I did not have Project Statistics enabled.

If you make project configuration changes, this report will only be updated weekly, so it’s not immediate.

The country map shows the distribution of all the countries within the project, not specific groups within projects

You can view Country Maps in either map or table format, but remember that if the project is a surname project and includes autosomal testers, the map view will not be representative of the surname itself. This view shows all groups.

Viewing Another Group Project

To view a different group project, simply enter that project name in the search box. For now, this is how you’ll be able to view group projects until this tool is fully rolled out.

I entered the surname “Speak” and was presented with these options.

Obviously, the surname Speak or a variation is found in these projects. Just click to view.

Your Turn

If you have not yet taken or upgraded to the Big Y-700 test, now’s the time. Order or upgrade, here.

If you have already taken the Big Y-700 test, or want to view a project, click on this link, and search for your project of choice.

Have fun!!!

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The Best of 2022

It’s that time of year where we look both backward and forward.

Thank you for your continued readership! Another year under our belts!

I always find it interesting to review the articles you found most interesting this past year.

In total, I published 97 articles in 2022, of which 56 were directly instructional about genetic genealogy. I say “directly instructional,” because, as you know, the 52 Ancestors series of articles are instructional too, but told through the lives of my ancestors. That leaves 41 articles that were either 52 Ancestors articles, or general in nature.

It has been quite a year.

2022 Highlights

In a way, writing these articles serves as a journal for the genetic genealogy community. I never realized that until I began scanning titles a year at a time.

Highlights of 2022 include:

Which articles were your favorites that were published in 2022, and why?

Your Favorites

Often, the topics I select for articles are directly related to your comments, questions and suggestions, especially if I haven’t covered the topic previously, or it needs to be featured again. Things change in this industry, often. That’s a good thing!

However, some articles become forever favorites. Current articles don’t have enough time to amass the number of views accumulated over years for articles published earlier, so recently published articles are often NOT found in the all-time favorites list.

Based on views, what are my readers’ favorites and what do they find most useful?

In the chart below, the 2022 ranking is not just the ranking of articles published in 2022, but the ranking of all articles based on 2022 views alone. Not surprisingly, six of the 15 favorite 2022 articles were published in 2022.

The All-Time Ranking is the ranking for those 2022 favorites IF they fell within the top 15 in the forever ranking, over the entire decade+ that this blog has existed.

Drum roll please!!!

Article Title Publication Date 2022 Ranking All-Time Ranking
Concepts – Calculating Ethnicity Percentages January 2017 1 2
Proving Native American Ancestry Using DNA December 2012 2 1
Ancestral DNA Percentages – How Much of Them in in You? June 2017 3 5
AutoKinship at GEDmatch by Genetic Affairs February 2022 4
442 Ancient Viking Skeletons Hold DNA Surprises – Does Your Y or Mitochondrial DNA Match? Daily Updates Here September 2020 5
The Origins of Zana of Abkhazia July 2021 6
Full or Half Siblings April 2019 7 15
Ancestry Rearranged the Furniture January 2022 8
DNA from 459 Ancient British Isles Burials Reveals Relationships – Does Yours Match? February 2022 9
DNA Inherited from Grandparents and Great-Grandparents January 2020 10
Ancestry Only Shows Shared Matches of 20 cM and Greater – What That Means & Why It Matters May 2022 11
How Much Indian Do I Have in Me??? June 2015 12 8
Top Ten RootsTech 2022 DNA Sessions + All DNA Session Links March 2022 13
FamilyTreeDNA DISCOVER Launches – Including Y DNA Haplogroup Ages June 2022 14
Ancient Ireland’s Y and Mitochondrial DNA – Do You Match??? November 2020 15

2023 Suggestions

I have a few articles already in the works for 2023, including some surprises. I’ll unveil one very soon.

We will be starting out with:

  • Information about RootsTech where I’ll be giving at least 7 presentations, in person, and probably doing a book signing too. Yes, I know, 7 sessions – what was I thinking? I’ve just missed everyone so very much.
  • An article about how accurately Ancestry’s ThruLines predicts Potential Ancestors and a few ways to prove, or disprove, accuracy.
  • The continuation of the “In Search Of” series.

As always, I’m open for 2023 suggestions.

In the comments, let me know what topics you’d like to see.

_____________________________________________________________

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Thank you so much.

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Concepts: Your Matches on the Same Segment are NOT Necessarily Related to Each Other

Just because two (or more) people match you on the same segment does NOT mean they are related to each other.

This is a fundamental concept of DNA matching and of using a chromosome browser.

I want to make this concept crystal clear.

This past week, I’ve had two people contact me with the same question that’s based up on a critical misunderstanding, or maybe just lack of understanding.

It’s not intuitive – in fact, it’s counter-intuitive. I understand why they don’t understand.

It seems logical that if two or more people show up as a match to you on the chromosome browser, on the same segment, you’ve hit a home run and all you need to do is to identify their common ancestor who will also be your common ancestor, or at least related. Right?

NOT SO FAST!

Let’s walk through this, step-by-step. Once you “get it,” you’ll never forget it, and you can use this to help other people understand too. Please notice there are lots of links here to other articles I’ve written if you need refreshers or help with terms.

Yay! – I’ve Got Matches

OK, so you’ve just discovered that you have a close match with three people, on the same segment. You’re thrilled! Maybe you’re trying to identify your grandparent, so first or second cousin matches are VERY exciting for you.

They are also close enough matches with large enough segments that you don’t need to worry about false positive matches, meaning identical by chance.

Let’s take a look. I’m using FamilyTreeDNA because that’s where the majority of my family has tested, plus they have a nice chromosome browser and their unique matrix tool.

We have three nice-sized matches to people estimated to be my first or second cousins. I’ve selected all three and compared them in the chromosome browser. The large red match is 87 cM and the blue and teal matches are 39 cM each, and completely within the 87 cM segment, so completely overlapping.

I’ve hit the mother-lode, right?

All I need to do is identify THEIR common ancestor and I’ll surely find mine.

Right???

Nope

Just because they all three match ME on this same segment does NOT mean they all match each other and are from the same side of my family. All three people DO NOT NECESSARILY have the same ancestor. From this information alone, we cannot tell.

I know this seems counterintuitive, especially since you’re seeing them all on MY chromosomes – which are the background pallet.

However, remember that I have two chromosomes. One from my father and one from my mother.

These matches are ALWAYS FROM THE PERSPECTIVE OF THE TESTER.

So, I’m going to see matches in exactly the same location – matches on my mother’s chromosome and matches on my father’s chromosomes – painted on the same segment locations of my chromosome.

Let’s prove that in the simplest of ways.

Mom and Dad

This is my kit, compared with my Dad and Mom.

I only took a screen shot of my first several chromosomes, but you can see that I match both of my parents on the full length of each chromosome – on the same exact segments.

I am the background – the pallet upon which my matches are painted.

First, my father is painted, then my mother – their match to me displayed on my chromosomes.

I assure you, my father and mother are NOT related to each other. I’ll prove it.

I could simply select one parent, then look for the other parent on the shared matches list.

Or, I could use the Matrix tool, especially if I wanted to see if a group of people are related to me and also to each other.

The Matrix

The Matrix tool is available under “See More,” in the Autosomal DNA Results & Tools section.

The Matrix allows you to select 10 or fewer matches to see if they are matches to each other. We already know they are matches to you.

I added my parents into the matrix.

My parents do not match each other, meaning they are not genetically related, because their intersecting cell is not blue.

Next, let’s select those three other people I match and see if they match each other.

Yes indeed, we can see that Cheryl and Donald match each other, but Amos matches NEITHER Cheryl nor Don. Yet, the segments of Cheryl and Donald, who had the 39 cM blue and teal segments on the chromosome browser fall entirely within Amos’s 87 cM segment.

Therefore, if Cheryl and Donald do not match Amos, that means that Cheryl and Donald are from one side of my family, and Amos is from the other. This is absolutely true in this instance because we are comparing the exact same segment on my DNA, so everyone has to match me maternally or paternally, or by chance (IBC.) The segment size alone removes the possibility of IBC.

Each parent gave me one copy of chromosome 4, so everyone who matches me on chromosome 4 must match one or the other parent on that chromosome segment.

I’ve added my parents back into the comparison, at the bottom, with the three matches on chromosome 4. Now you can see that same segment again, and everyone matches me, parents included, of course.

There’s no way to tell the difference whether the blue, red and teal match is on my mother’s or father’s side without additional information.

Again, let’s prove it.

Everybody, Let’s Dance

I added my Mom and Dad back into the matrix.

You can see that Mom and Cheryl and Donald all match each other, plus me of course, by inference because these are my matches.

You can see that Amos and my Dad match each other, and me of course, but not the other people.

Settled

So, we’ve settled that, right.

In my case, I could provide this great example, because I do in fact have parental tests to use for comparison.

You can see when I remove my Dad and Amos that Cheryl and Donald and my Mom all match each other. If I were to remove my Mom, Cheryl and Donald would match each other.

If I remove Mom, Donald and Cheryl, Dad and Amos match each other.

Of course, you may not have either of your parents’ DNA to use as an anchor for matching. You may, in fact, be searching for a parent or close relative.

If you do have “anchor people,” by all means, use them. In fact, upload or create a tree, link your anchor people and as many others as possible to their profiles in your tree at FamilyTreeDNA so your matches will be automatically bucketed, meaning assigned maternally or paternally. FamilyTreeDNA is the only company that offers linking and triangulated bucketing.

But, if you’re searching for your parents or know nothing about your family, you won’t have an anchor point, so what’s next?

What’s Next?

Using a combination of matching, shared matches and the matrix, you can create your own grouping of matches.

My suggestion is to start with your 10 closest matches.

Pull all 10 into the matrix.

Remember, you will match these people across your chromosomes. The only question the matrix answers is “do my matches match each other,” and a “yes” doesn’t’ necessarily mean they match each other on the same line you match either or both of them on.

I’ve noted how each person is related to me.

You can see that there’s a large block of matches on my paternal side. Some are labeled “Father- both.” These people are related both maternally and paternally to my father, because either the families intermarried, or they are descendants of my paternal grandparents.

Three, Donald, Dennis and Cheryl are related on my mother’s side, but it’s worth noting that Dennis doesn’t match Cheryl or Donald. That doesn’t mean he’s not on my mother’s side, it simply means he descends through her maternal line, not the paternal line like Donald and Cheryl. Remember, we’re not comparing people who match on the same chromosome this time – we’re comparing my closest matches across all chromosomes, so it makes sense that my mother’s maternal matches won’t match her paternal matches, but they would both match Mom if she were in the matrix. Clearly they all match me or they would not be in my match list in the first place.

You could also run a Genetic Affairs AutoCluster or AutoTree to cluster your matches for you into groups, although you can’t select specifically which individuals to include, except by upper and lower thresholds.

Regardless of the method you select, you still need to do the homework to figure out the common ancestors, but it’s a lot easier knowing who also match each other.

Circling Back to the Beginning

Now, when you see those two or three or more people all matching you on the same segment on the chromosome browser, you KNOW that you can’t immediately assume they match you and therefore are all related to each other. It’s possible, and even probable that some of them will match you because they match your mother’s chromosome and some will match your father’s chromosome – so they are from different sides of your family.

The Matrix tool shows you, for groups of 10 or less, who also matches each other.

What you are doing by determining if multiple people share common segments and match each other is triangulation. I wrote about triangulation at each company in the articles below:

Unfortunately, Ancestry does not provide a chromosome browser, so triangulation is not possible, but Ancestry does provide shared matching with some caveats. However, some Ancestry customers do upload their DNA file to FamilyTreeDNA, MyHeritage or GEDmatch. You can find step-by-step download/upload instructions for all vendors, here.

Additional Resources

You’ve probably noticed there are lots of links in this article to other articles that I’ve written. You might want to go back and take a look at those if you’re in the process of educating yourself or need help wrapping your head around the “same segment address – two parents – your matches are not created equal” phenomenon.

Here are a couple of additional articles that will help you understand matching on both parents’ sides, and how to get the most out of matching, segments, triangulation and chromosome browsers.

I prepared a triangulation resource summary article, here:

Enjoy!!
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