RootsTech 2020: It’s a Wrap

Before sharing photos and details about the last three days at RootsTech, I want to provide some general observations.

I expected the attendance to be down this year because of the concern about the Novel Corona Virus. There was a lot of hand-washing and sanitizer, but no hand-wringing.

I don’t think attendance was lagging at all. In fact, this show was larger, based on how my feet feel and general crowd observation than ever before. People appeared to be more engaged too.

According to RootsTech personnel, 4 major vendors pulled out the week before the show opened; 23andMe, LivingDNA, FindMyPast and a book vendor.

I doubt there’s much of a refund policy, so surely something happened in these cases. If you recall, LivingDNA and FindMyPast have a business relationship. 23andMe just laid off a number of people, but then again, so did Ancestry but you’d never know it based on the size of their booth and staffing here.

Family Search has really stepped up their game to modernize, capture stories, scan books and otherwise make genealogy interesting and attractive to everyone.

We got spoiled last year with the big DNA announcements at RootsTech, but nothing of that magnitude was announced this year. That’s not to say there weren’t vendor announcements, there were.

FamilyTreeDNA announced:

  • Their myOrigins Version 3.0 which is significantly updated by adding several worldwide populations, increasing the number from 24 to 90. I wrote about these features here.
  • Adding a myOrigins chromosome browser painted view. I am SOOO excited about this because it makes ethnicity actually useful for genealogy because we can compare specific ethnicity segments with genealogical matches. I can hardly wait.

RootsTech 2020 Sunny Paul

Sunny Morton with Family Tree Magazine interviewing Dr. Paul Maier, FamilyTreeDNA’s population geneticist. You can see the painted chromosome view on the screen behind Dr. Maier.

  • Providing, after initial release, a downloadable ethnicity estimate segment file.
  • Sponsorship of The Million Mito Project, a joint collaborative citizen science project to rewrite the mitochondrial tree of womankind includes team members Dr. Miguel Vilar, Lead Scientist of the National Geographic Genographic Project, Dr. Paul Maier, Population Geneticist at FamilyTreeDNA, Goran Runfeldt, Head of Research and Development at FamilyTreeDNA, and me, DNAeXplain, scientist, genetic genealogist, National Geographic Genographic Affiliate Researcher.

RootsTech 2020 Million Mito

I was honored to make The Million Mito Project announcement Saturday morning, but it was hard for me to contain my enthusiasm until Saturday. This initiative is super-exciting and I’ll be writing about the project, and how you can participate, as soon as I get home and recover just a bit.

  • Michael Sager, aka Mr. Big Y, announced additions to the Y Tree of Mankind in the Demo Theater, including a particularly impressive haplogroup D split.

Rootstech 2020 Sager

RootsTech 2020 Sager 2

RootsTech 2020 Sager hap d

In case anyone is counting, as of last week, the Y tree has 26,600+ named branches and over half a million detected (private variant) SNPs at FamilyTreeDNA waiting for additional testers to be placed on the tree. All I can say is WOW!!! In 2010, a decade ago, there were only 441 Y DNA branches on the entire Y tree. The Y tree has shot up from a twig to an evergreen. I think it’s actually a Sequoia and we just don’t know how large it’s going to grow to be.

RootsTech 2020 FTDNA booth

FamilyTreeDNA stepped up their game with a way-cool new booth that incorporated a lovely presentation area, greatly improved, which featured several guest presenters throughout the conference, including Judy Russell, below.

RootsTech 2020 Judy Russell

Yes, in case anyone is wondering, I DID ask permission to take Judy’s picture, AND to publish it in my article. Just sayin’😊

MyHeritage announced their new photo colorization, MyHeritage in Color, just before RootsTech. I wrote about it, here. At RootsTech MyHeritage had more announcements, including:

  • Enhancements coming soon to the photo colorization program. It was interesting to learn that the colorization project went live in less than 2 months from inception and resulted from an internal “hack-a-thon,” which in the technology industry is a fun think-tank sort of marathon endeavor where ideas flow freely in a competitive environment. Today, over a million photos have been colorized. People LOVE this feature.

RootsTech 2020 MyHeritage booth

One of their booth giveaways was a magnet – of your colorized ancestor’s photo. Conference attendees emailed the photo to a special email address and came by the booth a few minutes later to retrieve their photo magnet.

The photos on the board in front, above, are the colorized photos waiting for their family to pick them up. How fun!!!

  • Fan View for family trees which isn’t just a chart, but dynamic in that you can click on any person and they become the “center.” You can also add to your tree from this view.

RootsTech 2020 MyHeritage fan tree

One of the views is a colorful fan. If you sign on to your MyHeritage account, you’ll be asked if you’d like to see the new fan view. You can read about the new tree features on their blog, here.

  • The release of a MASSIVE 100-year US city directory digitization project that’s more than just imaging and indexing. If you’ve every used city directories, the unique abbreviations in each one will drive you batty. MyHeritage has solved that problem by providing the images, plus the “translation.” They’ve also used artificial intelligence to understand how to search further, incorporating things like spouse, address and more to provide you with not just one year or directory, but linear information that might allow you to infer the death of a spouse, for example. You can read their blog article, here.

RootsTech 2020 MyHeritage city directories

The MyHeritage booth incorporated a very cool feature this year about the Mayflower. Truthfully, I was quite surprised, because the Mayflower is a US thing. MyHeritage is working with folks in Leiden, Netherlands, where some Mayflower family members remained while others continued to what would become Plymouth Colony to prove the connection.

Rootstech 2020 MyHeritage Mayflower virtual

MyHeritage constructed a 3D area where you can sail with the Pilgrims.

I didn’t realize at first, but the chair swivels and as you move, your view in the 3D “goggles” changes to the direction on board the ship where you are looking.

RootsTech 2020 MyHeritage Mayflower virtual 2

The voyage in 1620 was utterly miserable – very rough with a great deal of illness. They did a good job of portraying that, but not “too much” if you get my drift. What you do feel is the utter smallness of the ship in the immense angry ocean.

I wonder how many descendants “sailed with their ancestors” on the virtual Mayflower. Do you have Mayflower ancestors? Mine are William Brewster, his wife, Mary and daughter, Patience along with Stephen Hopkins and his son, Gyles.

Ancestry’s only announcements were:

  • That they are “making things better” by listening and implementing improvements in the DNA area. I’ll forego any commentary because it would be based on their failure to listen and act (for years) about the absence of segment information and a chromosome browser. You’ve guessed it, that’s not mentioned.
  • That the WWII young man Draft Registration cards are now complete and online. Truthfully, I had no idea that the collection I was using online wasn’t complete, which I actually find very upsetting. Ancestry, assuming you actually are listening, how about warning people when they are using a partially complete collection, meaning what portion is and is not complete.
  • Listing content record additions planned for 2020 including the NYC birth index and other state and international records, some of which promise to be very useful. I wonder which states the statewide digitization projects pertain to and what that means, exactly.

OK, now we’re done with vendor announcements, so let’s just take a walk around the expo hall and see who and what we find. We might run into some people you know!

Walking Around

I sandwiched my walking around in-between my sessions. Not only did I present two RootsTech classes, but hosted the ToolMaker Meetup, attended two dinners, two lunches, announced The Million Mito Project, did two booth talks, one for FamilyTreeDNA and one for WikiTree, and I think something else I’ve forgotten about. Plus, all the planned and chance meetings which were absolutely wonderful.

Oh yes, and I attended a couple of sessions myself as an attendee and a few in the vendors booths too.

The great thing, or at least I think its great, is that most of the major vendors also have booth educational learning opportunities with presentation areas at their booths. Unfortunately, there is no centralized area where you can find out which booths have sessions, on what topics, when. Ditto for the Demo Theater.

Of course, that means booth presentations are also competing for your time with the regular sessions – so sometimes it’s really difficult to decide. It’s sort of like you’re awash in education for 4 days and you just can’t absorb enough. By Saturday, you’re physically and emotionally exhausted and you can’t absorb another iota, nor can you walk another step. But then you see someone you know and the pain in your feet is momentarily forgotten.

Please note that there were lots of other people that I saw and we literally passed, hugged and waved, or we were so engrossed in conversation that I didn’t realize until later that I had failed to take the photo. So apologies to all of those people.

RootsTech 2020 Amy Mags

I gave a presentation in the WikiTree booth about how to incorporate WikiTree into your 52 Ancestor stories, both as a research tool and as a way to bait the hook for cousins. Not to mention seeing if someone has already tested for Y or mtDNA, or candidates to do so.

That’s Amy Johnson Crow who started the 52 Ancestors challenge years ago, on the left and Mags Gaulden who writes at Grandma’s Genes and is a WikiTree volunteer (not to mention MitoY DNA.) Amy couldn’t stay for the presentation, so of course, I picked on her in her absence! I suspect her ears were burning. All in a good way of course.

RootsTech 2020 Kevin Borland

Kevin Borland of Borland Genetics, swabbing at the Family Tree DNA  booth, I hope for The Million Mito Project.

RootsTech 2020 Daniel Horowitz

Daniel Horowitz with MyHeritage at the blogger dinner. How about that advertising on his laptop lid. I need to do that with DNAexplain. Wonder where I can get one of those decals custom made.

RootsTech 2020 Hasani

Hasani Carter who I know from Facebook and who I discovered volunteering in a booth at RootsTech. I love to see younger people getting involved and to meet people in person. Love your dreads, Hasani.

RootsTech 2020 Randy Seaver

Cousin Randy Seaver who writes at Genea-Musings, daily, and has for YEARS. Believe it or not, he has published more than 13,000 articles, according to the Lifetime Achievement Award presented by Dear Myrtle at RootsTech. What an incredible legacy.

If you don’t already subscribe (it’s free), you’re missing out. By the way, I discovered Randy was my cousin when I read one of his 52 Ancestors articles, recognizing that his ancestor and my ancestor had the same surname in the same place. He knew the connection. Those articles really work. Thanks Randy – it was so good to see you again.

RootsTech 2020 univ dundee

The University of Dundee booth, with Sylvia Valentine and Pat Whatley, was really fun.  As part of their history and genealogy curriculum (you an earn certificates, bachelors and masters degrees,) they teach paleography, which, in case you are unaware is the official word for deciphering “ancient handwriting.” You didn’t know that’s what you’d been doing did you?

RootsTech 2020 paleography

They provided ink and quills for people to try their own hand.

RootsTech 2020 Paleography 2

The end of the feather quill pen is uneven and scratchy. Pieces separate and splatter ink. You can’t “write,” you draw the letters very, very carefully and slowly. I must say, my “signature” is more legible than normal.

Rootstech 2020 scribe

I now have a lot more empathy for those scribes. It’s probably a good thing that early records are no worse than they are.

RootsTech 2020 Gilad Japhet

Gilad Japhet at the MyHeritage luncheon. I have attended other vendor sponsored (but paid by the attendee) lunches at RootsTech in the past and found them disappointing, especially for the cost. Now MyHeritage is the only sponsored lunch that I attend and I always enjoy it immensely. Yes, I arrived early and sat dead center in front.

I also have a confession to make – I was so very excited about being contacted by Mary Tan Hai’s son that I was finishing colorizing the photos part of the time while Gilad was talking. (I did warn him so he didn’t think I was being rude.) But it’s HIS fault because he made these doggone photos so wonderful – and let’s just say time was short to get the photos to Mary’s family. You can read this amazing story, here.

Gilad always shares part of his own personal family story, and this time was no different. He shared that his mother is turning 85 soon and that the family, meaning her children and grandchildren all teamed up to make her a lovely video. Trust me, it was and made us all smile.

I’m so grateful for a genealogy company run by a genealogist. Speaking of that, Gilad’s mother was a MyHeritage board member in the beginning. That beginning also included a story about how the MyHeritage name came to be, and how Gilad managed to purchase the domain for an unwilling seller. Once again, by proxy, his mother entered into the picture. If you have the opportunity to hear Gilad speak – do – you won’t be disappointed. You’ll hear him speak for sure if you attend MyHeritage LIVE in Tel Aviv this October.

RootsTech 2020 Paul Woodbury

Paul Woodbury who works for Legacy Tree Genealogists, has a degree in both family history and genetics from BYU. He’s standing with Scott Fisher (left). Paul’s an excellent researcher and the only way you can put him to work on your brick wall is through Legacy Tree Genealogists. If you contact them for a quote, tell them I referred you for a $50 discount.

Rootstech 2020 Toolmaker meetup

From The ToolMaker’s Meetup, at far left, Jonny Pearl of DNAPainter, behind me, Dana Leeds who created The Leeds Method, and at right, Rob Warthen, the man behind DNAGedcom. Thanks to Michelle Patient for the photo.

RootsTech 2020 Toolmaker meetup 2

The meetup was well received and afforded people an opportunity to meet and greet, ask questions and provide input.

RootsTech 2020 Campbell baby

In fact, we’re working on recruiting the next generation. I have to say, my “grandma” kicked in and I desperately wanted to hold this beautiful baby girl. What a lovely family. Of course, when I noticed the family name is Campbell, we had a discussion of a different nature, especially since my cousin, Kevin Campbell and I were getting ready to have lunch. We will soon find out if Heidi’s husband is our relative, which makes her and her daughter our relative too!

Rootstech 2020 Kevin Campbell

It was so much fun to sit and develop a research plan with Kevin Campbell. We’re related, somehow on the Campbell line – we just have to sort out when and where.

Bless Your Heart

The photo I cherish most from RootsTech 2020 is the one that’s not pictured here.

A very special gentleman told me, when I asked if we could take a picture together, after he paid me the lovely compliment of saying that my session was the best one he had ever attended, that he doesn’t “do pictures.” Not in years, literally. I thought he was kidding at first, but he was deadly seriously.

The next day, I saw him again a couple of times and we shares stories. Our lives are very different, yet they still intersected in amazing ways. I feel like I’ve known him forever.

Then on the last day, he attended my Million Mito presentation and afterwards came up and told me a new story. How he had changed his mind, and what prompted the change of heart. Now we have a wonderful, lovely photo together which I will cherish all the more because I know how special it is – and how wonderful that makes me feel.

To my friend – you know who you are – thank you! You have blessed my heart. Bless yours😊

The Show Floor

I think I actually got all the way through the show floor, but I’m not positive. In some cases, the “rows” weren’t straight or had dead ends due to large booths, and it was possible to miss an area. I didn’t get to every booth I wanted to. Some were busy, some I simply forgot to take photos.

RootsTech 2020 everything

You can literally find almost anything.

I focused on booths related to genetic genealogy, but not exclusively.

RootsTech 2020 DNAPainter

Jonny Perl and the DNAPainter booth. I’ve written lots of articles, here, about using DNAPainter, one of my very favorite tools.

RootsTech 2020 Rootstech store

The RootsTech store was doing a brisk business.

RootsTech 2020 DNA basics

The RootsTech show area itself had a DNA Basics area which I thought was brilliant in its simplicity.

Inheritance is show by jellybeans.

Rootstech 2020 dNA beans

Put a cup under the outlet and pull the lever.

Rootstech 2020 beans in cup

How many of which color you receive in your cup is random, although you get exactly the same number from the maternal and paternal side.

Now you know I wanted to count these, don’t you?

Rootstech 2020 JellyGenes

And they are of course, called, “JellyGenes.” Those must be deletions still laying in the bin.

RootsTech 2020 Wikitree

WikiTree booth and volunteers. I love WikiTree – it’s “one great tree” is not perfect but these are the people, along with countless others that inject the “quality” into the process.

RootsTech 2020 MitoYDNA

MitoYDNA with Kevin Borland standing in front of the sign.

RootsTech 2020 Crossley

This amazing artist whose name I didn’t get. I was just so struck by her work, painting her ancestor from the picture on her phone.

RootsTech 2020 painter

I wish I was this talented. I would love to have some of my ancestor’s painted. Hmm….

Rootstech 2020 GeneaCreations

Jeanette at GeneaCreations makes double helix zipper pulls, along with lots of other DNA bling, and things not so blingy for men. These are just SOOO cool.

RootsTech 2020 zipper pull

I particularly love my “What’s Your Haplogroup” t-shirt and my own haplogroup t-shirt. Yes, she does custom work. What’s your haplogroup? You can see those goodies here.

Around the corner, I found CelebrateDNA.

RootsTech 2020 Celebrate DNA

Is that a Viking wearing a DNA t-shirt?

Rootstech 2020 day of the dead

CelebrateDNA has some very cool “Day of the Dead” bags, t-shirts and mouse pads, in addition to their other DNA t-shirts. I bought an “Every day is Day of the Dead for Genealogists” mouse pad which will live permanently in my technology travel bag. You can see their other goodies, here.

RootsTech 2020 skeleton

Hey, I think I found a relative. Can we DNA test to see?

Rootstech 2020 Mayflower replica

The Mayflower Society had a fun booth with a replica model ship.

RootsTech 2020 Mayflower passengers

Along with the list of passengers perched on a barrel of the type that likely held food or water for the Pilgrims.

RootsTech 2020 Webinar Marathon

Legacy Family Tree Webinars is going to have a 24-hour Genealogy Webinar Marathon March 12-13. So, who is going to stay up for this?Iit’s free and just take a look at the speakers, and topics, here. I’m guessing lots of people will take advantage of this opportunity. You can also subscribe for more webinars, here.

On March 4th, I’m presenting a FREE webinar, “3 Genealogy DNA Case Studies and How I Solved Them,” so sign up and join in!

Rootstech 2020 street art

Food at RootsTech falls into two categories. Anything purchased in the convention center meaning something to stave off starvation, and some restaurant with friends – the emphasis being on friends.

A small group went for pizza one evening when we were too exhausted to do anything else. Outside I found this interesting street art – and inside Settebello Pizzeria Napoletana I had the best Margarita Pizza I think I’ve ever had.

Then, as if I wasn’t already stuffed to the gills, attached through a doorway in the wall is Capo Gelateria Italiana, creators of artisan gelato. I’ve died and gone to heaven. Seriously, it’s a good thing I don’t live here.

Rootstech 2020 gelatto

Who says you can’t eat ice cold gelato in the dead of winter, outside waiting for the Uber, even if your insides are literally shivering and shaking!! It was that good.

This absolutely MUST BE a RootsTech tradition.

Rootstech 2020 ribbons

That’s it for RootsTech 2020. Hope you’ve enjoyed coming along on this virtual journey and that you’ve found something interesting, perhaps a new hint or tool to utilize.

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DNAPainter: Painting “Bucketed” Family Tree DNA Maternal and Paternal Family Finder Matches in One Fell Swoop

DNAPainter has done it again, providing genealogists with a wonderful tool that facilitates separating your matches into maternal and paternal categories so that they can be painted on the proper chromosome – in one fell swoop no less.

Of course, the entire purpose of painting your chromosomes is to identify segments that descend from specific ancestors in order to push those lines back further in time genealogically. Identifying segments, confirming and breaking down brick walls is the name of the game.

DNA Painter New Import Tool

The new DNAPainter tool relies on Family Tree DNA’s Phased Family Matching which assigns your matches to maternal and paternal buckets. On your match list, at the top, you’ll see the following which indicates how many matches you have in total and how many people are assigned to each bucket.

DNAPainter FF import.png

Note that these are individual matches, not total matching segments – that number would be higher.

In order for Family Tree DNA to create bucketed matches for you, you’ll need to:

  • Either create a tree or upload a GEDCOM file
  • Attach your DNA kit to “you” in your tree
  • Attach all 4th cousins and closer with whom you match to their proper location on your tree

Yes, it appears that Family Tree DNA is now using 4th cousins, not just third cousins and closer, which provides for additional bucketed matches.

How reliable is bucketing?

Quite. Occasionally one of two issues arise which becomes evident if you actually compare the matches’ segments to the parent with whom they are bucketed:

  • One or more of your matches’ segments do match you and your parent, but additionally, one or more segments match you, but not your parent
  • The X chromosome is particularly susceptible to this issue, especially with lower cM matches
  • Occasionally, a match that is large enough to be bucketed isn’t, likely because no known, linked cousin shares that segment

Getting Started

Get started by creating or uploading your tree at Family Tree DNA.

DNAPainter mytree.png

After uploading your GEDCOM file or creating your tree at Family Tree DNA, click on the “matches” icon at the top of the tree to link yourself and your relatives to their proper places on your tree. Your matches will show in the box below the helix icon.

DNAPainter FF matches.png

I created an example “twin” for myself to use for teaching purposes by uploading a file from Ancestry, so I’m going to attach that person to my tree as my “Evil Twin.” (Under normal circumstances, I do not recommend uploading duplicate files of anyone.)

DNAPainter FF matches link.png

Just drag and drop the person on your match list on top of their place on the tree.

DNAPainter Ff sister.png

Here I am as my sister, Example Adoptee.

I’ve wished for a very, very long time that there was a way to obtain a list of segment matches sorted by maternal and paternal bucket without having to perform spreadsheet gymnastics, and now there is, at DNAPainter.

DNAPainter does the heavy-lifting so you don’t have to.

What Does DNAPainter Do with Bucketed Matches?

When you are finished uploading two files at DNAPainter, you’ll have:

  • Maternal groups of triangulated matches
  • Paternal groups of triangulated matches
  • Matches that could not be assigned based on the bucketing. Some (but not all) of these matches will be identical by chance – typically roughly 15-20% of your match list. You can read about identical by chance, here.

I’ll walk you through the painting process step by step.

First, you need to be sure your relatives are connected to your tree at Family Tree DNA so that you have matches assigned to your maternal and paternal buckets. The more relatives you connect, per the instructions in the previous section, the more matching people will be able to be placed into maternal or paternal buckets.

Painting Bucketed Matches at DNAPainter

I wrote basic articles about how to use DNAPainter here. If you’re unfamiliar with how to use DNAPainter or it’s new to you, now would be a good time to read those articles. This next section assumes that you’re using DNAPainter. If not, go ahead, register, and set up a profile. One profile is free for everyone, but multiple profiles require a subscription.

First, make a duplicate of the profile that you’re working with. This DNAPainter upload tool is in beta.

DNAPainter duplicate profile.png

Since I’m teaching and experimenting, I am using a fresh, new profile for this experiment. If it works successfully, I’ll duplicate my working profile, just in case something goes wrong or doesn’t generate the results I expect, and repeat these steps there.

Second, at Family Tree DNA, Download a fresh copy of your complete matching segment file. This “Download Segments” link is found at the top right of the chromosome browser page.

DNAPainter ff download segments.png

Third, download your matches at the bottom left of the actual matches page. This file hold information about your matches, such as which ones are bucketed, but no segment information. That’s in the other file.

DNAPainter csv.png

Name both of these files something you can easily identify and that tells them apart. I called the first one “Segments” in front of the file name and the second one “Matches” in front of the file name.

Fourth, at DNAPainter, you’ll need to import your entire downloaded segment file that you just downloaded from Family Tree DNA. I exclude segments under 7cM because they are about 50% identical by chance.

DNAPainter import instructions

click to enlarge

Select the segment file you just named and click on import.

DNAPainter both.png

At this point, your chromosomes at DNAPainter will look like this, assuming you’re using a new profile with nothing else painted.

Let’s expand chromosome 1 and see what it looks like.

DNAPainter chr 1 both.png

Note that all segments are painted over both chromosomes, meaning both the maternal and paternal copies of chromosome 1, partially shown above, because at this point, DNAPainter can’t tell which people match on the maternal and which people match on the paternal sides. The second “matches” file from Family Tree DNA has not yet been imported into DNAPainter, which tells DNAPainter which matches are on the maternal and which are on the paternal chromosomes.

If you’re not workign with a new profile, then you’ll also see the segments you’ve already painted. DNAPainter attempts to NOT paint segments that appear to have previously been painted.

Fifth, at DNAPainter, click on the “Import mat/pat info from ftDNA” link on the left which will provide you with a page to import the matches file information. This is the file that has maternal and paternal sides specified for bucketed matches. DNAPainter needs both the segment file, which you already imported, and the matches file.

DNAPainter import bucket

click to enlarge

After the second import, the “matches” file, my matches are magically redistributed onto their appropriate chromosomes based on the maternal and paternal bucketing information.

I love this tool!

At this point, you will have three groups of matches, assuming you have people assigned to your maternal and paternal buckets.

  • A “Shared” group for people who are related to both of your parents, or who aren’t designated as a bucketed match to either parent
  • Maternal group (pink chromosome)
  • Paternal group (blue chromosome)

It’s Soup!!!

I’m so excited. Now my matches are divided into maternal and paternal chromosome groups.

DNAPainter import complete.png

Just so you know, I changed the colors of my legend at DNAPainter using “edit group,” because all three groups were shades of pink after the import and I wanted to be able to see the difference clearly.

DNAPainter legend.png

Your Painted Chromosomes

Let’s take a look at what we have.

DNAPainter both, mat, pat.png

There’s still pink showing, meaning undetermined, which gets painted over both the maternal and paternal chromosomes, but there’s also a lot of magenta (maternal) and blue (paternal) showing now too as a result of bucketing.

Let’s look at chromosome 1.

DNAPainter chr 1 all.png

This detail, which is actually a summary, shows that the bucketed maternal (magenta) and paternal (blue) matches have actually covered most of the chromosome. There are still a few areas without coverage, but not many.

For a genealogist, this is beautiful!!!

How many matches were painted?

DNAPainter paternal total.png

DNAPainter maternal total.png

Expanding chromosome 1, and scrolling to the maternal portion, I can now see that I have several painted maternal segments, and almost the entire chromosome is covered.

Here’s the exciting part!

DNAPainter ch1 1 mat expanded.png

I stared the relatives I know, on the painting, above and on the pedigree chart, below. The green group descends through Hiram Ferverda and Eva Miller, the yellow group through Antoine Lore and Rachel Hill. The blue group is Acadian, upstream of Antoine Lore.

DNAPainter maternal pedigree.png

Those ancestors are shown by star color on my pedigree chart.

I can now focus on the genealogies of the other unstarred people to see if their genealogy can push those segments back further in time to older ancestors.

On my Dad’s side, the first part of chromosome 1 is equally as exciting.

DNAPainter chr 1 pat expanded.png

The yellow star only pushed this triangulated group back only to my grandparents, but the green star is from a cousin descended from my great-grandparents. The red star matches are even more exciting, because my common ancestor with Lawson is my brick wall – Marcus Younger and his wife, Susanna, surname unknown, parents of Mary Younger.

DNAPainter paternal pedigree.png

I need to really focus hard on this cluster of 12 people because THEIR common ancestors in their trees may well provide the key I need to push back another generation – through the brick wall. That is, after all, the goal of genetic genealogy.

Woohoooo!

Manual Spreadsheet Compare

Because I decided to torture myself one mid-winter day, and night, I wanted to see how much difference there is between the bucketed matches that I just painted and actual matches that I’ve identified by downloading my parents’ segment match files and mine and comparing them manually against each other. I removed any matches in my file that were not matches to my parent, in addition to me, then painted the rest.

I’ll import the resulting manual spreadsheet into the same experimental DNAPainter profile so we can view matches that were NOT painted previously. DNAPainter does not paint matches previously painted, if it can tell the difference. Since both of these files are from downloads, without the name of the matches being in any way modified, DNAPainter should be able to recognize everyone and only paint new segment matches.

Please note here that the PERSON unquestionably belongs bucketed to the parental side in question, but not all SEGMENTS necessarily match you and your parent. Some will not, and those are the segments that I removed from my spreadsheet.

DNAPainter manual spreadsheet example.png

Here’s a made-up example where I’ve combined my matches and my mother’s matches in one spreadsheet in order to facilitate this comparison. I colored my Mom’s matches green so they are easy to see when comparing to my own, then sorting by the match name.

Person 1 matches me and Mom both, at 10 cM on chromosome 1. Person 1 is assigned to my maternal side due to the matches above 9 cM, the lowest threshold at Family Tree DNA for bucketing.

In this example, we can see that Person 1 matches me and Mom (colored green), both, on the segment on chromosome 1. That match, bracketed by red, is a valid, phased, match and should be painted.

However, Person 1 also matches me, but NOT Mom on chromosome 2. Because Person 1 is bucketed to mother, this segment on chromosome 2 will also be painted to my maternal chromosome 2 using the DNAPainter import. The only way to sort this out is to do the comparison manually.

The same holds true for the X match shown. The two segments shown in red should NOT be painted, but they will be unless you are willing to compare you and your parents’ matches manually, you will just have to evaluate segments individually when you see that you’re working in a cluster where matches have been assigned through the mass import tool.

If you choose to compare the spreadsheets manually to assure that you’re not painting segments like the red ones above, DNAPainter provides instructions for you to create your own mass upload template, which is what I did after removing any segment matches of people that were not “in common” between me and mother on the same chromosomal segment, like the red ones, above.

Please note that if you delete the erroneous segments and later reimport your bucketed matches, they will appear again. I’m more inclined to leave them, making a note.

I did not do a manual comparison of my father’s side of the tree after discovering just how little difference was found on my mother’s side, and how much effort was involved in the manual comparison.

Creating a Mass Upload Template and File

DNAPainter custom mass upload.png

The instructions for creating your own mass upload file are provided by DNAPainter – please follow them exactly.

In my case, after doing the manual spreadsheet compare with my mother, only a total of 18 new segments were imported that were not previously identified by bucketing.

Three of those segments were over 15cM, but the rest were smaller. I expected there would be more. Family Tree DNA is clearly doing a great job with maternal and paternal bucketing assignments, but they can’t do it without known relatives that have also tested and are linked to your tree. The very small discrepancy is likely due to matches with cousins that I have not been able to link on my tree.

The great news is that because DNAPainter recognizes already-painted segments, I can repeat this anytime and just paint the new segments, without worrying about duplicates.

  • The information above pertains to segments that should have been painted, but weren’t.
  • The information below pertains to segments that were painted, but should not have been.

I did not keep track of how many segments I deleted that would have erroneously been painted. There were certainly more than 18, but not an overwhelming number. Enough though to let me know to be careful and confirm the segment match individually before using any of the mass uploaded matches for hypothesis or conclusions.

Given that this experiment went well, I created a copy of my “real” profile in order to do the same import and see what discoveries are waiting!

Before and After

Before I did the imports into my “real” file (after making a copy, of course,) I had painted 82% of my DNA using 1700 segments. Of course, each one of those segments in my original profile is identified with an ancestor, even if they aren’t very far back in time.

Although I didn’t paint matches in common with my mother before this mass import, each of my matches in common with my mother are in common with one or the other of my maternal grandparents – and by using other known matches I can likely push the identity of those segments further back in time.

Status Percent Segments Painted
Before mass Phased Family Match bucketed import 82 1700
After mass Phased Family Match bucketed import 88 7123
After additional manual matches with my mother added 88 7141

While I did receive 18 additional matching segments by utilizing the manually intensive spreadsheet matching and removal process, I did not receive enough more matches to justify the hours and hours of work. I won’t be doing that anymore with Family Tree DNA files since they have so graciously provided bucketing and DNAPainter can leverage that functionality.

Those hours will be much better spent focusing on unraveling the ancestors whose stories are told in clusters of triangulated matches.

I Love The Import Tool, But It’s Not Perfect

Keep in mind that the X chromosome needs a match of approximately twice the size of a regular chromosome to be as reliable. In other words, a 14 cM threshold for the X chromosome is roughly equivalent to a 7 cM match for any other chromosome. Said another way, a 7 cM match on the X is about equal to a 3.5 cM match on any other chromosome.

X matches are not created equal.

The SNP density on the X chromosome is about half that of the other chromosomes, making it virtually impossible to use the same matching criteria. I don’t encourage using matches of less than 500 SNPs unless you know you’re in a triangulated group and WITH at least a few larger, proven matches on that segment of the X chromosome.

Having said that, X matches, due to their unique inheritance path can persist for many generations and be extremely useful. You can read about working with the X chromosome here and here.

I noticed when I was comparing segments in the manual spreadsheet that I had to remove many X matches with people who had identical matches on other chromosomes with me and my mother. In other words, just because they matched my mother and me exactly on one chromosome, that phasing did not, by default, extend to matching on other segments.

I checked my manually curated file and discovered that I had a total of seven X matches that should have been, and were, painted because they matched me and Mom both.

DNAPainter X spreadsheet example.png

However, there were many that didn’t match me and Mom both, matching only me, that were painted because that person was bucketed (assigned) to my maternal side because a different segment phased to mother correctly.

On the X chromosome, here’s what happened.

DNAPainter maternal X.png

You can see that a lot more than 7 bright red matches were painted – 26 more to be exact. That’s because if an individual is bucketed on your maternal or paternal side, it’s presumed that all of the matching segments come from the same ancestor and are legitimate, meaning identical by descent and not by chance. They aren’t. Every single segment has an inheritance path and story of its own – and just because one segment triangulates does NOT mean that other segments that match that person will triangulate as well.

The X chromosome is the worst case scenario of course, because these 7 cM segments are actually as reliable as roughly 3.5 cM segments on any other chromosome, which is to say that more than 50% of them will be incorrect. However, some will be accurate and those will match me and mother both. 21% of the X matches to people who phased and triangulated on other chromosomes were accurate – 79% were not. Thankfully, we have phasing, bucketing and tools like this to be able to tell the difference so we can utilize the 21% that are accurate. No one wants to throw the baby out with the bath water, nor do we want to chase after phantoms.

Keep in mind that Phased Family Matching, like any other tool, is just that, a tool and needs some level of critical analysis.

Every Segment Has Its Own Story

We know that every single DNA segment has an independent inheritance path and story of its own. (Yes, I’ve said that several time now because it’s critically important so that you don’t wind up barking up the wrong tree, literally, pardon the pun.)

In the graphic above of my painted X chromosome matches, only the six matches with green stars are on the hand-curated match list. One had already been painted previously. The balance of the bright red matches were a part of the mass import and need to be deleted. Additionally, one of the accurate matches did not upload for some reason, so I’ll add that one manually.

I suggest that you go ahead and paint your bucketed segments, but understand that you may have a red herring or two in your crop of painted segment matches.

As you begin to work with these clusters of matches, check your matching segments with your parents (or other family members who were used in bucketing) and make sure that all the segments that have been painted by bulk upload actually match on all of the same segments.

If you have a parent that tested, there is no need to see if you and your match match other relatives on that same side. If your match does not match you and your parent on some significant overlapping portion of that same segment, the match is invalid. DNA does not “skip generations.”

If you don’t have a parent that has tested, your known relatives are your salvation, and the key to bucketed matches.

The great news is that you can easily see that a bulk match was painted from the coloring of the batch import. As you discover the relevant genealogy and confirm that all segments actually match your parent (or another family member, if you don’t have parents to test,) move the matching person to the appropriately colored ancestral group.

I further recommend that you hand curate the X chromosome using a spreadsheet. The nature of the X makes depending on phased matching too risky, especially with a tool like DNAPainter that can’t differentiate between a legitimate and non-legitimate match. The X chromosome matches are extraordinarily valuable because they can be useful in ways that other chromosomes can’t be due to the X’s unique inheritance path.

What About You?

If you don’t have your DNA at Family Tree DNA and you have tested elsewhere, you can transfer your DNA file for free, allowing you to see your matches and use many of the Family Tree DNA tools. However, to access the chromosome browser, which you’ll need for DNA painting, you’ll need to purchase the unlock for $19, but that’s still a lot less than retesting.

Here are transfer instructions for transferring your DNA file from 23andMe, Ancestry or MyHeritage.

If you have not purchased a Family Finder test at Family Tree DNA and don’t have a DNA file to transfer, you can order a test here.

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Thank you so much.

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Big Y News and Stats + Sale

I must admit – this past January when FamilyTreeDNA announced the Big Y-700, an upgrade from the Big Y-500 product, I was skeptical. I wondered how much benefit testers would really see – but I was game to purchase a couple upgrades – and I did. Then, when the results came back, I purchased more!

I’m very pleased to announce that I’m no longer skeptical. I’m a believer.

The Big Y-700 has produced amazing results – and now FamilyTreeDNA has decoupled the price of the BAM file in addition to announcing substantial sale prices for their Thanksgiving Sale.

I’m going to discuss sale pricing for products other than the Big Y in a separate article because I’d like to focus on the progress that has been made on the phylogenetic tree (and in my own family history) as a result of the Big Y-700 this year.

Big Y Pricing Structure Change

FamilyTreeDNA recently anounced some product structure changes.

The Big Y-700 price has been permanently dropped by $100 by decoupling the BAM file download from the price of the test itself. This accomplishes multiple things:

  • The majority of testers don’t want or need the BAM file, so the price of the test has been dropped by $100 permanently in order to be able to price the Big Y-700 more attractively to encourage more testers. That’s good for all of us!!!
  • For people who ordered the Big Y-700 since November 1, 2019 (when the sale prices began) who do want the BAM file, they can purchase the BAM file separately through the “Add Ons and Upgrades” page, via the “Upgrades” tab for $100 after their test results are returned. There will also be a link on the Big Y-700 results page. The total net price for those testers is exactly the same, but it represents a $100 permanent price drop for everyone else.
  • This BAM file decoupling reduces the initial cost of the Big Y-700 test itself, and everyone still has the option of purchasing the BAM file later, which will make the Big Y-700 test more affordable. Additionally, it allows the tester who wants the BAM file to divide the purchase into two pieces, which will help as well.
  • The current sale price for the Big Y-700 for the tester who has taken NO PREVIOUS Y DNA testing is now just $399, formerly $649. That’s an amazing price drop, about 40%, in the 9 months since the Big Y-700 was introduced!
  • Upgrade pricing is available too, further down in this article.
  • If you order an upgrade from any earlier Big Y to the Big Y-700, you receive an upgraded BAM file because you already paid for the BAM file when you ordered your initial Big Y test.
  • The VCF file is still available for download at no additional cost with any Big Y test.
  • There is no change in the BAM file availability for current customers. Everyone who ordered before November 1, 2019 will be able to download their BAM file as always.

The above changes are permanent, except for the sale price.

2019 has been a Banner Year

I know how successful the Big Y-700 has been for kits and projects that I manage, but how successful has it been overall, in a scientific sense?

I asked FamilyTreeDNA for some stats about the number of SNPs discovered and the number of branches added to the Y phylotree.

Drum roll please…

Branches Added This Year Total Tree Branches Variants Added to Tree This Year Total Variants Added to Tree
2018 6,259 17,958 60,468 132.634
2019 4,394 22.352 32,193 164,827

The tests completed in 2019 are only representative for 10 months, through October, and not the entire year.

Haplotree Branches

Not every SNP discovered results in a new branch being added to the haplotree, but many do. This chart shows the number of actual branches added in 2018 and 2019 to date.

Big Y 700 haplotree branches.png

These stats, provided by FamilyTreeDNA, show the totals in the bottom row, which is a cumulative branch number total, not a monthly total. At the end of October 2019, the total number of individual branches were 22,352.

Big Y 700 haplotree branches small.png

This chart, above, shows some of the smaller haplogroups.

Big Y 700 haplotree branches large.png

This chart shows the larger haplogroups, including massive haplogroup R.

Haplotree Variants

The number of variants listed below is the number of SNPs that have been discovered, named and placed on the tree. You’ll notice that these numbers are a lot larger than the number of branches, above. That’s because roughly 168,000 of these are equivalent SNPs, meaning they don’t further branch the tree – at least not yet. These 168K variants are the candidates to be new branches as more people test and the tree can be further split.

Big Y 700 variants.png

These numbers also don’t include Private Variants, meaning SNPs that have not yet been named.

If you see Private Variants listed in your Big Y results, when enough people have tested positive for the same variant, and it makes sense, the variants will be given a SNP name and placed on the tree.

Big Y 700 variants small.png

The smaller haplogroups variants again, above, followed by the larger, below.

Big Y 700 variants large.png

Upgrades from the Big Y, or Big Y-500 to Big Y-700

Based on what I see in projects, roughly one third of the Big Y and Big Y-500 tests have upgraded to the Big Y-700.

For my Estes line, I wondered how much value the Big Y-700 upgrade would convey, if any, but I’m extremely glad I upgraded several kits. As a result of the Big Y-700, we’ve further divided the sons of Abraham, born in 1747. This granularity wasn’t accomplished by STR testing and wasn’t accomplished by the Big Y or Big Y-500 testing alone – although all of these together are building blocks. I’m ECSTATIC since it’s my own ancestral line that has the new lineage defining SNP.

Big Y 700 Estes.png

Every Estes man descended from Robert born in 1555 has R-BY482.

The sons of the immigrant, Abraham, through his father, Silvester, all have BY490, but the descendants of Silvester’s brother, Robert, do not.

Moses, son of Abraham has ZS3700, but the rest of Abraham’s sons don’t.

Then, someplace in the line of kit 831469, between Moses born in 1711 and the present-day tester, we find a new SNP, BY154784.

Big Y 700 Estes block tree.png

Looking at the block tree, we see the various SNPs that are entirely Estes, except for one gentleman who does not carry the Estes surname. I wrote about the Block Tree, here.

Without Big Y testing, none of these SNPs would have been found, meaning we could never have split these lines genealogically.

Every kit I’ve reviewed carries SNPs that the Big Y-700 has been able to discern that weren’t discovered previously.

Every. Single. One.

Now, even someone who hasn’t tested Y DNA before can get the whole enchilada – meaning 700+ STRs, testing for all previously discovered SNPs, and new branch defining SNPs, like my Estes men – for $399.

If a new Estes tester takes this test, without knowing anything about his genealogy, I can tell him a great deal about where to look for his lineage in the Estes tree.

Reduced Prices

FamilyTreeDNA has made purchasing the Big Y-700 outright, or upgrading, EXTREMELY attractive.

Test Price
Big Y-700 purchase with no previous Y DNA test

 

$399
Y-12 upgrade to Big Y-700 $359
Y-25 upgrade to Big Y-700 $349
Y-37 upgrade to Big Y-700 $319
Y-67 upgrade to Big Y-700 $259
Y-111 upgrade to Big Y-700 $229
Big Y or Big Y-500 upgrade to Big Y-700 $189

Note that the upgrades include all of the STR markers as yet untested. For example, the 12-marker to Big Y-700 includes all of the STRs between 25 and 111, in addition to the Big Y-700 itself. The Big Y-700 includes:

  • All of the already discovered SNPs, called Named Variants, extending your haplogroup all the way to the leaf at the end of your branch
  • Personal and previously undiscovered SNPs called Private Variants
  • All of the untested STR markers inclusive through 111 markers
  • A minimum of a total of 700 STR markers, including markers above 111 that are only available through Big Y-700 testing

With the refinements in the Big Y test over the past few years, and months, the Big Y is increasingly important to genealogy – equally or more so than traditional STR testing. In part, because SNPs are not prone to back mutations, and are therefore more stable than STR markers. Taken together, STRs and SNPs are extremely informative, helping to break down ancestral brick walls for people whose genealogy may not reach far back in time – and even those who do.

If you are a male and have not Y DNA tested, there’s never been a better opportunity. If you are a female, find a male on a brick wall line and sponsor a scholarship.

Click here to order or upgrade!

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Disclosure

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

Thank you so much.

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Genealogy Services

Genealogy Research

Crossovers: Frequency and Inheritance Statistics – Male Versus Female Matters

Recently, a reader asked if I had any crossover statistics.

They were asking about the number of crossovers, meaning divisions on each chromosome, of the parent’s DNA when a child is created. In other words, how many segments of your maternal and paternal grandparent’s DNA do you inherit from your mother and father – and are those numbers somehow different?

Why would someone ask that question, and how is it relevant for genealogists?

What is a Crossover and Why is it Important?

We know that every child receives half of their autosomal DNA from their father, and half from their mother. Conversely that means that each parent can only give their child half of their own DNA that they received from their parents. Therefore, each parent has to combine some of the DNA from their father’s chromosome and their mother’s chromosome into a new chromosome that they contribute to their child.

Crossovers are breakpoints that are created when the DNA of the person’s parents is divided into pieces before being recombined into a new chromosome and passed on to the person’s child.

I’m going to use the following real-life scenario to illustrate.

Crossover pedigree.png

The colors of the people above are reflected on the chromosome below where the DNA of the blue daughter, and her red and green parents are compared to the DNA of the tester. The tester is shown as the gray background chromosomes in the chromosome browser. The backgroud person is whose results we are looking at.

My granddaughter has tested her DNA, as have her parents and 3 of her 4 grandparents along with 2 great-grandparents, shown as red and green in the diagram above.

Here’s an example utilizing the FamilyTreeDNA chromosome browser.

Crossover example chr 1.png

On my granddaughter’s chromosome 1, on the chromosome brower above, we see two perfect examples of crossovers.

There’s no need to compare her DNA against that of her parent, the son in the chart above, because we already know she matches the full length of every chromosome with both of her parents.

However, when comparing my granddaughter’s DNA against the grandmother (blue) and her grandmother’s parents, the great-grandmother shown in red and great-grandfather shown in green, we can see that the granddaughter received her blue segments from the grandmother.

The grandmother had to receive that entire blue segment from either her mother, in red, or her father, in green. So, every blue segment must have an exactly matching red segment, green segment or combination of both.

The first red box at left shows that the blue segment was inherited partially from the grandmother’s red mother and green father. We know that because the tester matches the red great-grandmother on part of that blue segment and the green great-grandfather on a different part of the entire blue segment that the tester inherited from her blue grandmother.

The middle colored region, not boxed, shows the entire blue segment was inherited from the red great-grandmother and the blue grandmother passed that intact through her son to her granddaughter.

The third larger red boxed area encompassing the entire tested region to the right of the centromere was inherited by the granddaughter from her grandmother (blue segment) but it was originally from the blue grandmother’s red mother and green father.

The Crossover

The areas on this chromosome where the blue is divided between the red and green, meaning where the red and green butt up against each other is called a crossover. It’s literally where the DNA of the blue daughter crosses over between DNA contributed by her red mother and green father.

Crossover segments.png

In other words, the crossover where the DNA divided between the blue grandmother’s parents when the grandmother’s son was created is shown by the dark arrows above. The son gave his daughter that exact same segment from his mother and it’s only by comparing the tester’s DNA against her great-grandparents that we can see the crossover.

Crossover 4 generations.png

What we’re really seeing is that the segments inherited by the grandmother from her parents two different chromosomes were combined into one segment that the grandmother gave to her son. The son inherited the green piece and the red piece on his maternal chromosome, which he gave intact to his daughter, which is why the daughter matches her grandmother on that entire blue segment and matches her great-grandparents on the red and green pieces of their individual DNA.

Inferred Matching Segments

Crossover untested grandfather.png

The entirely uncolored regions are where the tester does not match her blue grandmother and where she would match her grandfather, who has not tested, instead of her blue grandmother.

The testers father only received his DNA from his mother and father, and if his daughter does not match his mother, then she must match his untested father on that segment.

Looking at the Big Inheritance Picture

The tester’s full autosomal match between the blue grandmother, red great-grandmother and green great-grandfather is shown below.

Crossover autosomes.png

In light of the discussion that follows, it’s worth noting that chromosomes 4 and 20 (orange arrows) were passed intact from the blue grandmother to the tester through two meiosis (inheritance) events. We know this because the tester matches the green great-grandfather’s DNA entirely on these two chromosomes that he passed to his blue daughter, her son and then the tester.

Let’s track this for chromosomes 4 and 20:

  • Meiosis 1 –The tester matches her blue grandmother, so we know that there was no crossover on that segment between the father and the tester.
  • Meiosis 2 – The tester matches her green great-grandfather along the entire chromosome, proving that it was passed intact from the grandmother to the tester’s father, her son.
  • What we don’t know is whether there were any crossovers between the green great-grandfather when he passed his parent or parents DNA to the blue grandmother, his daughter. In order to determine that, we would need at least one of the green great-grandfather’s parents, which we don’t have. We don’t know if the green great-grandfather passed on his maternal or paternal copy of his chromosome, or parts of each to the blue great-grandmother, his daughter.

Meiosis Events and the Tree

So let’s look at these meiosis or inheritance events in a different way, beginning at the bottom with the pink tester and counting backwards, or up the tree.

Crossover meiosis events.png

By inference, we know that chromosomes 11, 16 and 22 (purple arrows) were also passed intact, but not from the blue grandmother. The tester’s father passed his father’s chromosome intact to his daughter. That’s the untested grandfather again. We know this because the tester does not match her blue grandmother at all on either of these three chromosomes, so the tester must match her untested grandfather instead, because those are the only two sources of DNA for the tester’s father.

A Blip, or Not?

If you’ve noticed that chromosome 14 looks unusual, in that the tester matches her grandmother’s blue segment, but not either of her great-grandparents, which is impossible, give yourself extra points for your good eye.

In this case, the green great-grandfather’s kit was a transfer kit in which that portion of chromosome 14 was not included or did not read accurately. Given that the red great-grandmother’s kit DID read in that region and does not match the tester, we know that chromosome 14 would actually have a matching green segment exactly the size of the blue segment.

However, in another situation where we didn’t know of an issue with the transfer kit, it is also possible that the granddaughter matched a small segment of the blue grandmother’s DNA where they were identical by chance. In that case, chromosome 14 would actually have been passed to the tester intact from her father’s father, who is untested.

Every Segment has a Story

Looking at this matching pattern and our ability to determine the source of the DNA back several generations, originating from great-grandparents, I hope you’re beginning to get a sense of why understanding crossovers better is important to genealogists.

Every single segment has a story and that story is comprised of crossovers where the DNA of our ancestors is combined in their offspring. Today, we see the evidence of these historical genetic meiosis or division/recombination events in the start and end points of matches to our genetic cousins. Every start and end point represents a crossover sometime in the past.

What else can we tell about these events and how often they occur?

Of the 22 autosomes, not counting the X chromosome which has a unique inheritance pattern, 17 chromosomes experienced at least one crossover.

What does this mean to me as a genealogist and how can I interpret this type of information?

Philip Gammon

You may remember our statistician friend Philip Gammon. Philip and I have collaborated before authoring the following articles where Philip did the heavy lifting.

I discussed crossovers in the article Concepts – DNA Recombination and Crossovers, also in collaboration with Philip, and showed several examples in a Four Generation Inheritance Study.

If you haven’t read those articles, now might be a good time to do so, as they set the stage for understanding the rest of this article.

The frequency of chromosome segment divisions and their resulting crossovers are key to understanding how recombination occurs, which is key to understanding how far back in time a common ancestor between you and a match can expect to be found.

In other words, everything we think we know about relationships, especially more distant relationships, is predicated on the rate that crossovers occur.

The Concepts article references the Chowdhury paper and revealed that females average about 42 crossovers per child and males average about 27 but these quantities refer to the total number of crossovers on all 22 autosomes and reveal nothing about the distribution of the number of crossovers at the individual chromosome level.

Philip Gammon has been taking a closer look at this particular issue and has done some very interesting crossover simulations by chromosome, which are different sizes, as he reports beginning here.

Crossover Statistics by Philip Gammon

For chromosomes there is surprisingly little information available regarding the variation in the number of crossovers experienced during meiosis, the process of cell division that results in the production of ova and sperm cells. In the scientific literature I have been able to find only one reference that provides a table showing a frequency distribution for the number of crossovers by chromosome.

The paper Broad-Scale Recombination Patterns Underlying Proper Disjunction in Humans by Fledel-Alon et al in 2009 contains this information tucked away at the back of the “Supplementary methods, figures, and tables” section. It was likely not produced with genetic genealogists in mind but could be of great interest to some. The columns X0 to X8 refer to the number of crossovers on each chromosome that were measured in parental transmissions. Separate tables are shown for male and female transmissions because the rates between the two sexes differ significantly. Note that it’s the gender of the parent that matters, not the child. The sample size is quite small, containing only 288 occurrences for each gender.

A few years ago I stumbled across a paper titled Escape from crossover interference increases with maternal age by Campbell et al 2015. This study investigated the properties of crossover placement utilising family groups contained within the database of the direct-to-consumer genetic testing company 23andMe. In total more than 645,000 well-supported crossover events were able to be identified. Although this study didn’t directly report the observed frequency distribution of crossovers per chromosome, it did produce a table of parameters that accurately described the distribution of inter-crossover distances for each chromosome.

By introducing these parameters into a model that I had developed to implement the equations described by Housworth and Stahl in their 2003 paper Crossover Interference in Humans I was able to derive tables depicting the frequency of crossovers. The following results were produced for each chromosome by running 100,000 simulations in my crossover model:

Crossover transmissions from female to child.png

Transmissions from female parent to child, above.

Crossover transmissions male to child.png

Transmissions from male parent to child.

To be sure that we understand what these tables are revealing let’s look at the first row of the female table. The most frequent outcome for chromosome #1 is that there will be three crossovers and this occurs 27% of the time. There were instances when up to 10 crossovers were observed in a single meiosis but these were extremely rare. Cells that are blank recorded no observations in the 100,000 simulations. On average there are 3.36 crossovers observed on chromosome #1 in female to child transmissions i.e. the female chromosome #1 is 3.36 Morgans (336 centimorgans) in genetic length.

Blaine Bettinger has since examined crossover statistics using crowdsourced data in The Recombination Project: Analyzing Recombination Frequencies Using Crowdsourced Data, but only for females. His sample size was 250 maternal transmissions and Table 2 in the report presents the results in the same format as the tables above. There is a remarkable degree of conformity between Blaine’s measurements and the output from my simulation model and also to the earlier Fledel-Alon et al study.

The diagrams below are a typical representation of the chromosomes inherited by a child.

Crossovers inherited from mother.jpg

The red and orange (above) are the set of chromosomes inherited from the mother and the aqua and green (below) from the father. The locations where the colours change identify the crossover points.

It’s worth noting that all chromosomes have a chance of being passed from parent to child without recombination. These probabilities are found in the column for zero crossovers.

In the picture above the mother has passed on two red chromosomes (#14 and #20) without recombination from one of the maternal grandparents. No yellow chromosomes were passed intact.

Similarly, below, the father has passed on a total of five chromosomes that have no crossover points. Blue chromosomes #15, #18 and #21 were passed on intact from one paternal grandparent and green chromosomes #4 and #20 from the other.

Crossovers inherited from father.jpg

It’s quite a rare event for one of the larger chromosomes to be passed on without recombination (only a 1.4% probability for chromosome #1 in female transmissions) but occurs far more frequently in the smaller chromosomes. In fact, the male chromosome #21 is passed on intact more often (50.6% of the time) than containing DNA from both of the father’s parents.

However, there is nothing especially significant about chromosome #21.

The same could be said for any region of similar genetic length on any of the autosomes i.e. the first 52 cM of chromosome #1 or the middle 52 cM of chromosome #10 etc. From my simulations I have observed that on average 2.8 autosomes are passed down from a mother to child without a crossover and an average of 5.1 autosomes from a father to child.

In total (from both parents), 94% of offspring will inherit between 4 and 12 chromosomes containing DNA exclusively from a single grandparent. In the 100,000 simulations the child always inherited at least one chromosome without recombination.

Back to Roberta

If you have 3 generations who have tested, you can view the crossovers in the grandchild as compared to either one or two grandparents.

If the child doesn’t match one grandparent, even if their other grandparent through that parent hasn’t tested, you can certainly infer that any DNA where the grandchild doesn’t match the available grandparent comes from the non-tested “other” grandparent on that side.

Let’s Look at Real-Life Examples

Using the example of my 2 granddaughters, both of their parents and 3 of their 4 grandparents have tested, so I was able to measure the crossovers that my granddaughters experienced from all 4 of their grandparents.

Maternal Crossovers Granddaughter 1 Granddaughter 2 Average
Chromosome 1 6 2 3.36
Chromosome 2 4 2 3.17
Chromosome 3 3 2 2.71
Chromosome 4 2 2 2.59
Chromosome 5 2 1 2.49
Chromosome 6 4 2 2.36
Chromosome 7 3 1 2.23
Chromosome 8 2 2 2.11
Chromosome 9 3 1 1.95
Chromosome 10 4 2 2.08
Chromosome 11 3 0 1.93
Chromosome 12 3 3 2.00
Chromosome 13 1 1 1.52
Chromosome 14 3 1 1.38
Chromosome 15 4 1 1.44
Chromosome 16 2 2 1.58
Chromosome 17 2 2 1.53
Chromosome 18 2 0 1.40
Chromosome 19 2 1 1.18
Chromosome 20 0 1 1.19
Chromosome 21 0 1 0.74
Chromosome 22 1 0 0.78
Total 56 30 41.71

Looking at these results, it’s easy to see just how different inheritance between two full siblings can be. Granddaughter 1 has 56 crossovers through her mother, significantly more than the average of 41.71. Granddaughter 2 has 30, significantly less than average.

The average of the 2 girls is 43, very close to the total average of 41.71.

Note that one child received 2 chromosomes intact from her mother, and the other received 3.

Paternal Crossovers Granddaughter 1 Granddaughter 2 Average
Chromosome 1 2 2 1.98
Chromosome 2 3 2 1.85
Chromosome 3 2 2 1.64
Chromosome 4 0 1 1.46
Chromosome 5 1 2 1.46
Chromosome 6 2 1 1.41
Chromosome 7 1 2 1.36
Chromosome 8 1 1 1.23
Chromosome 9 1 3 1.26
Chromosome 10 3 2 1.30
Chromosome 11 0 1 1.20
Chromosome 12 1 1 1.32
Chromosome 13 2 1 1.02
Chromosome 14 1 0 0.97
Chromosome 15 1 2 1.01
Chromosome 16 0 1 1.02
Chromosome 17 0 0 1.06
Chromosome 18 1 1 0.98
Chromosome 19 1 1 1.00
Chromosome 20 0 0 0.99
Chromosome 21 0 0 0.52
Chromosome 22 0 0 0.63
Total 23 26 26.65

Granddaughter 2 had slightly more paternal crossovers than did granddaughter 1.

One child received 7 chromosomes intact from her father, and the other received 5.

Chromosome Granddaughter 1 Maternal Granddaughter 1 Paternal
Chromosome 1 6 2
Chromosome 2 4 3
Chromosome 3 3 2
Chromosome 4 2 0
Chromosome 5 2 1
Chromosome 6 4 2
Chromosome 7 3 1
Chromosome 8 2 1
Chromosome 9 3 1
Chromosome 10 4 3
Chromosome 11 3 0
Chromosome 12 3 1
Chromosome 13 1 2
Chromosome 14 3 1
Chromosome 15 4 1
Chromosome 16 2 0
Chromosome 17 2 0
Chromosome 18 2 1
Chromosome 19 2 1
Chromosome 20 0 0
Chromosome 21 0 0
Chromosome 22 1 0
Total 56 23

Comparing each child’s maternal and paternal crossovers side by side, we can see that Granddaughter 1 has more than double the number of maternal as compared to paternal crossovers, while Granddaughter 2 only had slightly more.

Chromosome Granddaughter 2 Maternal Granddaughter 2 Paternal
Chromosome 1 2 2
Chromosome 2 2 2
Chromosome 3 2 2
Chromosome 4 2 1
Chromosome 5 1 2
Chromosome 6 2 1
Chromosome 7 1 2
Chromosome 8 2 1
Chromosome 9 1 3
Chromosome 10 2 2
Chromosome 11 0 1
Chromosome 12 3 1
Chromosome 13 1 1
Chromosome 14 1 0
Chromosome 15 1 2
Chromosome 16 2 1
Chromosome 17 2 0
Chromosome 18 0 1
Chromosome 19 1 1
Chromosome 20 1 0
Chromosome 21 1 0
Chromosome 22 0 0
Total 30 26

Granddaughter 2 has closer to the same number of maternal and paternal of crossovers, but about 8% more maternal.

Comparing Maternal and Paternal Crossover Rates

Given that males clearly have a much, much lower crossover rate, according to the Philip’s chart as well as the evidence in just these two individual cases, over time, we would expect to see the DNA segments significantly LESS broken up in male to male transmissions, especially an entire line of male to male transmissions, as compared to female to female linear transmissions. This means we can expect to see larger intact shared segments in a male to male transmission line as compared to a female to female transmission line.

  G1 Mat G2 Mat Mat Avg G1 Pat G2 Pat Pat Avg
Gen 1 56 30 41.71 23 26 26.65
Gen 2 112 60 83.42 46 52 53.30
Gen 3 168 90 125.13 69 78 79.95
Gen 4 224 120 166.84 92 104 106.60

Using the Transmission rates for Granddaughter 1, Granddaughter 2, and the average calculated by Philip, it’s easy to see the cumulative expected average number of crossovers vary dramatically in every generation.

By the 4th generation, the maternal crossovers seen in someone entirely maternally descended at the rate of Grandchild 1 would equal 224 crossovers meaning that the descendant’s DNA would be divided that many times, while the same number of paternal linear divisions at 4 generations would only equal 92.

Yet today, we would never look at 2 people’s DNA, one with 224 crossovers compared to one with 92 crossovers and even consider the possibility that they are both only three generations descended from an ancestor, counting the parents as generation 1.

What Does This Mean?

The number of males and females in a specific line clearly has a direct influence on the number of crossovers experienced, and what we can expect to see as a result in terms of average segment size of inherited segments in a specific number of generations.

Using Granddaughter 1’s maternal crossover rate as an example, in 4 generations, chromosome 1 would have incurred a total of 24 crossovers, so the DNA would be divided into in 25 pieces. At the paternal rate, only 8 crossovers so the DNA would be in 9 pieces.

Chromosome 1 is a total of 267 centimorgans in length, so dividing 267 cM by 25 would mean the average segment would only be 10.68 cM for the maternal transmission, while the average segment divided by 9 would be 29.67 cM in length for the paternal transmission.

Given that the longest matching segment is a portion of the estimated relationship calculation, the difference between a 10.68 cM maternal linear segment match and a 29.67 paternal linear cM segment match is significant.

While I used the highest and lowest maternal and paternal rates of the granddaughters, the average would be 19 and 29, respectively – still a significant difference.

Maternal and Paternal Crossover Average Segment Size

Each person has an autosomal total of 3374 cM on chromosomes 1-22, excluding the X chromosome, that is being compared to other testers. Applying these calculations to all 22 autosomes using the maternal and paternal averages for 4 generations, dividing into the 3374 total we find the following average segment centiMorgan matches:

Crossovers average segment size.png

Keep in mind, of course, that the chart above represents 3 generations in a row of either maternal or paternal crossovers, but even one generation is significant.

The average size segment of a grandparent’s DNA that a child receives from their mother is 80.89 cM where the average segment of a grandparent’s DNA inherited from their father is 1.57 times larger at 126.6 cM.

Keep the maternal versus paternal inheritance path in mind as you evaluate matches to cousins with identified common ancestors, especially if the path is entirely or mostly maternal or paternal.

For unknown matches, just keep in mind that the average that vendors calculate and use to predict relationships, because they can’t and don’t have “inside knowledge” about the inheritance path, may or may not be either accurate or average. They do the best they can do with the information they have at hand.

Back to Philip again who provides us with additional information.

Maternal Versus Paternal Descent

Along a predominantly maternal path the DNA is likely to be inherited in more numerous smaller segments while along a predominantly paternal path it will likely be in fewer but larger segments. So matches who descend paternally from a common ancestor and carry the surname are not likely to carry more DNA from that common male ancestor than someone who descends from a mixed or directly maternal line. In fact, someone descending from an ancestor down an all-male path is more likely to inherit no DNA at all from that ancestor than someone descending down an all-female path. This is because the fewer segments there are the higher the risk is that a person won’t pass on any of them. Of course, there’s also a greater chance that all of the segments could be passed on. Fewer segments leads to more variation in the amount of DNA inherited but not a higher average amount of DNA inherited.

Gammon 3X great-grandparents.png

The chart above shows the spread in the amount of DNA inherited from a 3xgreat-grandparent, down all-maternal, all-paternal and down all possible paths. The average in each case is 3.125% i.e. 1 part in 32 but as expected the all-paternal path shows much more variation. Compared to the all-maternal path, on the all-paternal you are more likely to inherit either less than 2.0% or more than 5.0%. In 50,000 simulations there were 14 instances where a 3xgreat-grandchild did not inherit any DNA down the all-paternal path. There were no cases of zero DNA inherited down the all-maternal path.

One way to think about this is to consider a single chromosome. If at least one crossovers occurs in the meiosis some DNA from each grandparent will be passed down to the grandchild but when it is passed on without recombination, as occurs more frequently in paternal than maternal meiosis, all of the DNA from one grandparent is passed on but none at all from the other. When this happens, there is no bias toward either the grandfather’s or the grandmother’s chromosome being passed on. It’s just as likely that the segment coming down the all-paternal path will be lost entirely as it is that it will be passed on in full.

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