AutoSegment Triangulation Cluster Tool at GEDmatch

Right now, I’m reviewing the thrilling new AutoSegment Triangulation Cluster Device at GEDmatch. I find it irresistible as a result of this automated instrument might be as straightforward or complicated as you need.

It’s straightforward since you simply choose your choices, run it, and presto, you obtain all types of helpful outcomes. It’s solely complicated if you wish to perceive the main points of what’s actually taking place beneath the hood, or you might have a posh downside to unravel. The good information is that this one instrument does each.

I’ve taken a deep dive with this text as a way to use AutoSegment both manner.

Evert-Jan “EJ” Blom, creator of Genetic Affairs has partnered with GEDmatch to supply AutoSegment for GEDmatch customers. He has additionally taken the time to make sure I’ve introduced issues accurately on this article. Thanks, EJ!

My suggestion is to learn this text by itself first to grasp the chances and take into consideration how one can make the most of these outcomes. Then, at GEDmatch, choose the AutoSegment Report possibility and see what treasures await!

Genetic Affairs

Genetic Affairs provides all kinds of clustering instruments that assist genealogists break down their brick partitions by exhibiting us, visually, how our matches match us and one another. I’ve written a number of articles about Genetic Affairs’ tools and how to use them, here.

Each DNA section that we have now originated someplace. First, from one in all our mother and father, then from one in all our 4 grandparents, and so forth, on up our tree. The additional again in time we go, the smaller the segments from these extra distant ancestors develop into, till we have now none for a particular ancestor, or not less than none over the matching threshold.

The key phrase in that sentence is section, as a result of we are able to assign or attribute DNA segments to ancestors. After we discover that we match another person on that very same section inherited from the identical guardian, assuming the match is identical by descent and not identical by chance, we then know that by some means, we shared a typical ancestor. Both an ancestor we’ve already recognized, or one that continues to be a thriller.

These segments can and can reveal ancestors and inform us how we’re associated to our matches.

That’s the excellent news. The dangerous information is that not each vendor gives section data. For instance, 23andMe, FamilyTreeDNA, and MyHeritage all do, however Ancestry doesn’t.

For Ancestry testers, and other people wishing to share section data with Ancestry testers, all just isn’t misplaced.

Everybody can obtain a replica of their uncooked DNA information file and add these recordsdata to distributors who accept uploads, together with FamilyTreeDNA, MyHeritage, and naturally GEDmatch.


GEDmatch doesn’t provide DNA testing providers, specializing as a substitute in being the frequent matching denominator and offering superior instruments. GEDmatch just lately acquired a facelift. If you happen to don’t acknowledge the picture above, you most likely haven’t signed in to GEDmatch just lately, so take a look.

Ancestry prospects, in addition to folks testing elsewhere, can obtain their DNA recordsdata from the testing vendor and add to GEDmatch, availing themselves of each the free and Tier 1 subscription instruments.

I’ve written straightforward step-by-step download/upload instructions for each vendor, here.

At GEDmatch, matching plus a dozen instruments are free, however the Tier 1 plan for $10 per month gives customers with one other 14 superior instruments, together with AutoSegment.

To get began, click on on the AutoSegment possibility.

AutoSegment at GEDmatch

You’ll see the GEDmatch AutoSegment choice menu.

You’ll be able to simply run as many AutoSegment experiences as you need, so I recommend beginning with the default values to get the lay of the land. Then experiment with totally different choices.

At GEDmatch, AutoSegment makes use of your prime 3000 matches. What an enormous, HUGE timesaver.

Simply a few notes about choices.

  • My go-to variety of SNPs is 500 (or bigger,) and I’m at all times considerably cautious of matches under that stage as a result of there may be an elevated probability of identical by chance segments when the required variety of section matching places is smaller.
  • GEDmatch has to equalize DNA recordsdata produced by totally different distributors, together with no-calls the place sure areas don’t learn. Subsequently, there are clean areas in some recordsdata the place there may be information in different distributors’ recordsdata. The “Forestall Exhausting Breaks” possibility permits GEDmatch to “heal” these recordsdata by permitting longer stretches of “lacking” DNA to be thought of a match if the DNA on either side of that clean area matches.
  • “Take away Segments in Recognized Pile-Up Areas” is an possibility that instructs GEDmatch NOT to indicate segments in components of the human genome which can be identified to have pile-up areas. I typically don’t choose this feature, as a result of I wish to see these matches and decide for myself if they’re legitimate. We’ll take a look at just a few comparative examples within the Pileup part of this text.

Fortuitously, you possibly can experiment with every of those settings one after the other to see how they have an effect on your matching. Even in the event you don’t usually subscribe to GEDmatch, you possibly can subscribe for just one month to experiment with this and different Tier 1 instruments.

Your AutoSegment outcomes can be delivered by way of a obtain hyperlink.

Save and Extract

All Genetic Affairs cluster recordsdata are delivered in a zipped file.

You MUST DO TWO THINGS, or these recordsdata gained’t work accurately.

  1. Save the zip file to your laptop.
  2. Extract the recordsdata from the zip file. If you happen to’re on a PC, right-click on the zip file and EXTRACT ALL. This extracts the recordsdata from the zipped file for use individually.

If you happen to click on on a characteristic and obtain an error message, it’s most likely since you both didn’t save the file to your laptop or didn’t extract the recordsdata.

The file identify may be very lengthy, so in the event you attempt to add the file to a folder that can also be buried just a few ranges deep in your system, you might encounter issues when extracting your file. Placing the file in your desktop so you possibly can entry it simply whereas working is a good suggestion.

Now, let’s get to the good things.

Your AutoSegment Cluster File

Click on on the biggest HTML file within the checklist of your extracted recordsdata. The HTML file makes use of the recordsdata within the clusters and matches folders, so that you don’t must open these individually.

It’s enjoyable to observe your clusters fly into place. I really like this half.

In case your file is simply too giant and your system is experiencing issue or your browser locks, simply click on on the smaller AutoSegment HTML file, on the backside of the checklist, which is similar data minus the gorgeous cluster.

Phrase to the clever – don’t get excited and skip over the three explanatory sections just under your cluster. Sure, I did that and had to return and skim to make sense of what I used to be seeing.

On the backside of this explanatory part is a report about Pileup Areas that I’ll talk about on the finish of this text.


As a 3rd viewing possibility, you may as well open the AutoSegment Excel file to view the ends in an excel grid.

You’ll discover a second sheet on the backside of this spreadsheet web page that claims AutoSegment-segment-clusters. If you happen to click on on that tab, you’ll see that your clusters are organized in chromosome and cluster order, in the identical format as long-time genetic genealogist Jim Bartlett makes use of in his very useful weblog, segment-ology.

You’ll most likely see a message on the prime of the spreadsheet asking if you wish to allow enhancing. To ensure that the beginning and finish places to calculate, you should allow enhancing. If the beginning and finish places are zeroes, search for the enhancing query.

Discover that the colours on this sheet are coordinated with the clusters on the primary sheet.

EJ makes use of yellow rows as cluster dividers. The “Seg” column within the yellow row signifies the variety of folks on this cluster group, which means earlier than the following yellow divider row. “Chr” is the chromosome. “Section TG” is the triangulation group quantity and “Facet” is Jim Bartlett’s section monitoring calculation quantity.

In fact, the Centimorgans column is the cM measurement, and the variety of matching SNPs is supplied.

You’ll be able to examine how Jim Bartlett tracks his section clusters, here, which incorporates discussions of the columns and the way they’re used.

every particular person within the cluster teams by chromosome, *WS matches me and *Cou, the opposite particular person within the cluster starting and ending firstly and finish location on chromosome 1. Within the match row (as in contrast with the yellow dividing row,) Column F, “Seg,” tells you the variety of segments the place *WA matches me, the tester.

A “*” earlier than the match identify at GEDmatch means a pseudonym or alias is getting used.

So as to be included within the AutoSegment report, a match should triangulate with you and not less than one different particular person on (not less than) a type of segments. Nonetheless, within the particular person match experiences, proven under, all matching segments are supplied – together with ones NOT in section clusters.

Particular person DNA Matches

Within the HTML file, click on on *WA.

You’ll see the three segments the place *WA matches you, or me on this case. *WA triangulates with you and not less than one different particular person on not less than one in all these segments or *WA wouldn’t be included within the GEDmatch AutoSegment report.

Nonetheless, *WA might solely triangulate on one section and easily match you on the opposite two – or *WA might triangulate on multiple section. You’ll have to have a look at the opposite sections of this report back to make that willpower.

Additionally, keep in mind that this report solely contains your prime 3000 matches.


All Genetic Affairs instruments start with an AutoCluster which is a grouping of people that all match you and a few of whom match one another in every coloured cluster.

AutoSegment at GEDmatch begins with an AutoCluster as properly, however with one VERY IMPORTANT distinction.

AutoSegment clusters at GEDmatch characterize triangulation of three folks, you and two different folks, in AT LEAST ONE LOCATION. Please notice that you just they usually might also match in different places the place three folks don’t triangulate.

By matching versus triangulation, I’m referring to the little particular person cells which present the intersection of two of your matches to one another.

Common AutoCluster experiences, which means NOT AutoSegment clusters at GEDmatch, embody overlapping section matches between folks, even when they aren’t on the identical chromosome and/or don’t overlap totally. A coloured cell in AutoSegment at GEDmatch means triangulation, whereas a coloured cell in different forms of AutoCluser experiences means match, however not essentially triangulation.

Match data actually IS helpful genealogically, however these two matching folks in that cell:

  • Might be matching on unrelated chromosomes.
  • Might be matching on account of totally different ancestors.
  • Might be matching one another on account of an ancestor you don’t have.
  • Could or might not triangulate.

Two individuals who have a coloured cell intersection in an AutoSegment Cluster at GEDmatch are totally different as a result of these cells don’t characterize JUST a match, they characterize a TRIANGULATED match.

Triangulation tightens up these matches by assuring that each one three folks, you and the 2 different folks in that cell, match one another on a ample overlapping section (10 cM on this case) on the identical chromosome which will increase the chance that you just do in actual fact share a typical ancestor.

I wrote in regards to the idea of triangulation in my article about triangulation at GEDmatch, however AutoSegment provides a HUGE shortcut the place a lot of the work is completed for you. If you happen to’re not conversant in triangulation, it’s nonetheless a good suggestion to learn that article, together with A Triangulation Checklist Born From the Question; “Why NOT use Close Relatives for Triangulation?”

Let’s check out my AutoSegment report from GEDmatch.

AutoSegment Clusters at GEDmatch

A complete of 195 matches are clustered into a complete of 32 coloured clusters. I’m solely exhibiting a portion of the clusters, above.

I’ve blurred the names of my matches in my AutoSegment AutoCluster, after all, however every cell represents the intersection of two individuals who each match and triangulate with me and one another. If the 2 folks match and triangulate with one another and others in the identical cluster, they’re coloured the identical as their cluster matches.

For instance, all 18 of the folks within the orange cluster match me and one another on one (or extra) chromosome segments. All of them triangulate with me and not less than one different particular person, or they might not seem in a coloured cell on this report. They triangulate with me and each different particular person with whom they’ve a coloured cell.

If you happen to mouse over a coloured cell, you possibly can see the identification of these two folks at that intersection and who else they match in frequent. Please notice that me plus the 2 folks in any cell do triangulate. Nonetheless, me plus two folks in a distinct cell in the identical cluster might triangulate on a distinct section. Everybody matches in an intricate grid, however totally different segments on totally different chromosomes could also be concerned.

You’ll be able to see on this instance that my cousin, Deb matches Laurene and each Deb and Laurene match these different folks on a big quantity of DNA in that very same cluster.

What occurs when folks match others inside a cluster, but additionally match folks in different coloured clusters too?

A number of Cluster Matches = Gray Cells

The gray cells point out individuals who match in a number of clusters, exhibiting the match intersection outdoors their main or “residence” cluster. If you see a gray cell, suppose “AND.” That particular person matches everybody within the coloured cell to the left of that gray cell, AND anybody in a coloured cell under gray cells too. Any of your matches may match you and any variety of different folks in different cells/clusters as properly. It’s your fortunate day!

Deb’s matches are all proven in row 4. She and I each match the entire orange cluster folks in addition to a number of others in different clusters, indicated by gray cells.

I’m exhibiting Deb’s gray cell that signifies that she additionally matches folks in cluster #5, the big brown cluster. Once I mouse over that gray cell, it reveals that Deb (orange cluster) and Daniel (brown cluster) each match a big variety of folks in each clusters. Meaning these clusters are by some means related.

Trying on the larger image, with out mousing over any explicit cell, you possibly can see {that a} nontrivial variety of folks match between the primary a number of clusters. Every of those folks match strongly inside their primary-colored cluster, but additionally match in not less than one extra cluster. Some folks will match folks in a number of clusters, which is a HUGE profit when making an attempt to determine the supply ancestor of a particular section.

Let’s take a look at just a few examples. Bear in mind, all of those folks match you, so the grid reveals how in addition they match with one another.

#1 – Within the orange cluster, the highest 5 rows, which means the primary 5 folks on the left facet checklist match different orange cluster members, however they ALSO match folks within the brown cluster, under. A gray cell is positioned within the column of the particular person in addition they match within the brown cluster.

#2 – The 2 gray cells bracketed within the second instance match somebody within the small pink cluster above, however one particular person additionally matches somebody within the small purple cluster and the opposite particular person matches somebody within the brown cluster.

#3 – The third instance reveals one one that matches quite a lot of folks within the brown cluster along with each particular person within the magenta cluster under.

#4 – This lengthy, bracketed group reveals a number of individuals who match everybody within the orange cluster, a few of whom additionally match folks within the inexperienced cluster, the pink cluster, the brown cluster, and the magenta cluster. Clearly, these clusters are by some means associated to one another.

All the time take a look at the 2 names concerned in a person cell and work from there.

The purpose, after all, is to determine and affiliate these clusters with ancestors, or extra particularly, ancestral {couples}, pushing again in time, as we determine the frequent ancestors of people within the cluster.

For instance, the biggest orange cluster represents my paternal grandparents. The smaller clusters which have shared members with the big orange cluster characterize ancestors in that lineage.

Figuring out the MRCA, or most up-to-date frequent ancestor with our matches in any cluster tells us the place these frequent segments of DNA originated.

Chromosome Segments from Clusters

As you scroll down under your cluster, you’ll discover a bit that describes how one can make the most of these outcomes at DNAPainter.

Whereas GEDmatch can’t mechanically decide which of your matches are maternal and paternal, you possibly can import them, by coloured cluster, to DNAPainter the place you possibly can determine clusters to ancestors and paint them in your maternal and paternal chromosomes. I’ve written about how to use DNAPainter here.

Let’s scroll to the following part in your AutoSegment file.

Chromosome Section Statistics

The following part of your file reveals “Chromosome section statistics per AutoSegment cluster.”

I must take a minute right here to explain the distinction between:

  1. Coloured clusters in your AutoCluster diagram, proven under, and
  2. Chromosome section clusters or teams inside every coloured AutoSegment cluster

Bear in mind, coloured clusters are folks, and you may match totally different folks on totally different, typically a number of, chromosomes. Two folks whose intersecting cell is coloured triangulate on SOME section however might also match on different segments that don’t triangulate with one another and also you.

In accordance with my “Chromosome section statistics” report, my giant orange AutoSegment cluster #1, above, contains:

  • 67 segments from all my matches
  • On 5 chromosomes (3, 5, 7, 10, 17)
  • That cluster into 8 separate chromosome section clusters or teams inside the orange cluster #1

That is a lot simpler to visualise, so let’s have a look.

Chromosome Section Clusters

Click on on any cluster # in your report, above, to see the chromosome portray for that cluster. I’m clicking on my AutoSegment cluster #1 on the “Chromosome section statistics” report that can reveal the entire segments in orange cluster #1 painted on my chromosomes.

The brightly coloured painted segments present the triangulated section places on every chromosome. You’ll be able to simply see the 8 totally different section clusters in cluster #1.

Apparently, three separate teams or chromosome clusters happen on chromosome 5. We’ll see in a couple of minutes that the segments within the third cluster on chromosome 5 overlaps with a part of cluster #5. (Don’t confuse cluster quantity proven with a # and chromosome quantity. They’re simply coincidentally each 5 on this case.)

The following instrument helps me visualize every of those section clusters individually. Simply scroll down.

You’ll be able to mouse over the section to view extra data, however I want the following instrument as a result of I can simply see how the DNA of the people who find themselves included on this section overlap with one another.

This view reveals the person chromosome clusters, or teams, contained totally inside the orange cluster #1. (Please notice that you would be able to alter the column widths facet to facet by positioning the cursor on the fringe of the column header and dragging.)

Fortuitously, I acknowledge one in all these matches, Deb, and I do know precisely how she and I are associated, and which ancestor we share – my great-grandparents.

As a result of these segments are triangulated, I do know instantly that each one of those folks share that section with Deb and me as a result of they inherited that section of DNA from some frequent ancestor shared by me and Deb each.

To be very clear, these folks might not share our very same ancestor. They could share an ancestor upstream from Deb and my frequent ancestor. Regardless, these folks, Deb, and I all share a section I can assign at this level to my great-grandparents as a result of it both got here from them for everybody, or from an upstream ancestor who contributed it to one in all my great-grandparents, who contributed it to me and Deb each.

Section Clusters Completely Linked

Clusters #2 and #3 are small and have frequent matches with folks in cluster #1 as indicated by the gray cells, so let’s have a look.

I’m clicking on AutoSegment inexperienced cluster #2 which solely has two cluster members.

I can see that the frequent triangulated section between these two folks and me happens on chromosome 3.

This section on chromosome 3 is totally contained in inexperienced cluster #2, which means no members of different clusters triangulate on this section with me and these two folks.

This is usually a bit complicated, so let’s take it logically step-by-step.

Do not forget that the 2 individuals who triangulate in inexperienced cluster #2 additionally match folks in orange cluster #1? Nonetheless, the folks from orange cluster #1 are NOT proven as members of inexperienced cluster #2.

This might imply that though the 2 folks within the inexperienced cluster #2 match a few folks within the orange cluster, they didn’t match the others, or they didn’t triangulate. This may be due to the minimal section overlap threshold that’s imposed.

So though there’s a hyperlink between the folks within the clusters, it’s NOT ample for the inexperienced folks to be included within the orange cluster and because the two matches triangulate on one other section, they develop into a separate inexperienced cluster.

In actuality, you don’t want to grasp precisely why members do or don’t fall into the clusters they do, you simply want to grasp typically how clustering and triangulation works. In essence, belief the instrument if individuals are NOT included in a number of clusters. Click on on every particular person individually to see which chromosomes they match you on, even when they don’t triangulate with others on all of these segments. At this level, I usually run one-to-one matches, or different matching instruments, to see precisely how folks match me and one another.

Nonetheless, in the event that they ARE included in a number of partly linked clusters, that may be a HUGE bonus.

Let’s take a look at pink cluster #3.

Section Clusters Partly Linked

You’ll be able to see that Mark, one of many members of pink cluster #3 shares two triangulated segments, one on chromosome 4, and one on chromosome 10.

Mark and Glenn are members of cluster #3, however Glenn just isn’t a member of the section cluster/group on chromosome 4, solely Iona and Mark.

Scrolling down, I can view extra details about the cluster members and the 2 segments which can be held inside pink cluster #3.

Not like inexperienced cluster #2 whose section cluster/group is totally confined to inexperienced cluster #2, pink cluster #3 has NO segments totally confined to members of pink cluster #3.

Cluster #3 has two members, Mark and Glen. Mark and Glen, together with Val who’s a member of orange cluster #1 triangulate on chromosome 10. Bear in mind, I mentioned that chromosome 10 can be essential in a minute once we have been discussing orange cluster #1. Now you already know why.

This section of chromosome 10 triangulates in each orange cluster #1 AND pink cluster #3.

Nonetheless, Mark, who’s a pink cluster #3 member additionally triangulates with Iona and me on a section of chromosome 4. This section additionally seems in AutoSegment brown cluster #4 on chromosome 4.

Now, the good information is that I do know my earliest identified ancestors with Iona, which implies that I can assign this section to my paternal great-great-grandparents.

If I can determine a typical ancestor with a few of these different folks, I could possibly push segments again additional in time to an earlier ancestral couple.

Figuring out Frequent Ancestors

In fact, assessment every cluster’s members to see in the event you acknowledge any of your cousins.

If you happen to don’t know anybody, how do you determine a typical ancestor? You’ll be able to e-mail the particular person, after all, however GEDmatch additionally facilitates importing GEDCOM recordsdata that are bushes.

In your main AutoSegment file, maintain scrolling to see who has bushes.

AutoSegment Cluster Info

If you happen to proceed to scroll down in your authentic HTML file, you’ll see AutoSegment Cluster Info.

For every cluster, all members are listed. It’s straightforward to see which individuals have uploaded bushes. You’ll be able to click on to view and may hopefully determine an ancestor or not less than a surname.

Click on on “tree” to view your match’s entry, then on Pedigree to see their tree.

In case your matches don’t have a tree, I recommend emailing and sharing what you do know. For instance, I can inform my matches in cluster #1 that I do know this line descends from Lazarus Estes and Elizabeth Vannoy, their beginning and demise dates and site, and encourage my match to view my tree which I’ve uploaded to GEDmatch.

If you happen to occur to have quite a lot of matches with bushes, you possibly can create a tag group and run the AutoTree evaluation on this tag group to determine frequent ancestors mechanically. AutoTree is a tremendous instrument that identifies frequent ancestors within the bushes of your matches, even when they aren’t in your tree. I wrote about AutoTree, here.

Pileup Areas

Whether or not you choose “Take away Segments in Recognized Pileup Areas” or not when you choose the choices to run AutoSegment, you’ll obtain a report that you would be able to entry by a hyperlink within the Rationalization of AutoSegment Evaluation part. The hyperlink is buried on the backside of these paragraphs that I mentioned to not skip, and many individuals don’t even see it. I didn’t at first, nevertheless it’s most actually value reviewing.

What Are Pileup Areas?

First, let’s speak about what pileup areas are, and why we observe them.

Some areas of the human genome are identified to be extra comparable than others, for varied causes.

In these areas, individuals are extra more likely to match different folks just because we’re human – not particularly as a result of we share a typical ancestor.

EJ makes use of a listing of pileup areas, primarily based on the Li et al 2014 paper.

It’s possible you’ll match different folks on these pretty small segments as a result of people, typically, are extra comparable in these areas.

Lots of these segments are too small to be thought of a match by themselves, though in the event you occur to match on an adjoining section, the pileup area may prolong your match to look like extra important than it’s.

If you choose the “take away pileup segments” possibility, and also you overlap any pileup area with 4.00 cM or bigger, all the matching section that features that area can be faraway from the report irrespective of how giant the matching section is in whole.

Right here’s an instance the place the pileup area of 5.04 cM is correct in the midst of an identical section to somebody. This complete 15.04 cM section can be eliminated.

If these finish segments are each 10 cM every as a substitute of 5 cM, the section will nonetheless be eliminated.

Nonetheless, if the section overlap with the pileup area is 3.99 cM or smaller, not one of the ensuing section can be eliminated, as long as all the section is over the matching threshold within the first place. Within the instance above, if the AutoSegment threshold was 7 or 8 cM, all the section can be retained. If the matching threshold was 9 or larger, the section wouldn’t have been included due to the edge.

In fact, eight areas within the pileup chart are giant sufficient to match with none extra adjoining segments if the match threshold is 7 cM and the overlap is actual. If the match threshold is 10 cM, solely two pileup areas will presumably match by themselves. Nonetheless, as a result of these two areas are so giant, we usually tend to see a number of matches in these areas.

Having a match in a pileup area does NOT invalidate that match. I’ve many matches in pileup areas which can be completely legitimate, usually extending past that area and attributable to an recognized frequent ancestor.

You might also have pileup areas, within the areas proven within the chart and elsewhere, due to different genealogical causes, together with:

  • Endogamy, the place your ancestors descend from a small, intermarried inhabitants, both via all or a few of your ancestors. The Jewish inhabitants might be essentially the most well-known instance of large-scale endogamy over a really very long time interval.
  • Pedigree collapse, the place you descend from the identical ancestors in a number of methods in a genealogical timeframe. Endogamy can attain far again in time. With pedigree collapse, you already know who your ancestors are and the way you descend, however with endogamy, you don’t.
  • Since you descend from an over-represented or over-tested group, such because the Acadians who settled in Nova Scotia within the early 1600s, intermarried and remained comparatively remoted till 1755 after they have been expelled. Their quite a few descendants have settled in lots of places. Acadian descendants usually have an enormous variety of Acadian matches.
  • Some mixture of all three of the above causes. Acadians are a mixture of each endogamy and pedigree collapse and plenty of of their descendants have examined.

In my case, I’ve proportionally extra Acadian matches than I’ve different matches, particularly on condition that my Dutch and a few of my German traces have few matches as a result of they’re latest immigrants with few descendants within the US. This dichotomy makes the proportional distinction much more evident and evident.

I wish to stress right here that pileup areas usually are not essentially dangerous. In truth, they might present large clues to why you match a specific group of individuals.

Pileup Areas and Family tree

In 2016, when Ancestry removed matches that concerned private pileup areas, segments that they felt have been “too-matchy,” lots of my lost matches have been both Acadian or Mennonite/Brethren. Each teams are endogamous and expertise pedigree collapse.

Over time, as I’ve labored with my DNA matches, portray my segments at DNAPainter, which marks pileup areas, I’ve come to comprehend that I don’t have extra matches on segments spanning commonplace pileup areas indicated within the Li paper, nor are these matches unreliable.

An unreliable match is perhaps signaled by individuals who match on that section however descend from totally different unrelated frequent ancestors to me. Every section tracks to at least one maternal and one paternal ancestral supply, so if we discover people matching on the identical section who declare descent from totally different ancestral traces on the identical facet, that’s a flag that one thing’s fallacious. (That “one thing” is also family tree or descending from a number of ancestors.)

Subsequently, after analyzing my very own matching patterns, I don’t choose the choice to take away pileup segments and I don’t low cost them. Nonetheless, this will not be the appropriate choice for everybody. Simply keep in mind, you possibly can run the report as many instances as your need, so nothing ventured, nothing gained.

No matter whether or not you choose the take away pileup segments possibility or not, the report contents are very fascinating.

Pileup Areas within the Report

Let’s check out Pileups within the AutoSegment report.

  • If I don’t choose the choice of eradicating pileup area segments, I obtain a report that reveals all of my segments.
  • If I do choose the choice to take away pileup area segments, right here’s what my report says.

Primarily based on the “take away pileup area segments” possibility chosen, all segments ought to be eliminated within the pileup areas documented within the Li article if the match overlap is 4.00 cM or bigger.

I wish to be very clear right here. The match itself is NOT eliminated UNLESS the pileup section that IS eliminated causes the particular person to not be a match anymore. If that particular person nonetheless matches and triangulates on one other section over your chosen AutoSegment threshold, these segments will nonetheless present.

I used to be inquisitive about which of my chromosomes have essentially the most matches. That’s precisely what the Pileup Report tells us.

In accordance with the Pileup Report, my chromosome with the very best variety of folks matching is chromosome 5. The Y (vertical) axis reveals the variety of those that match on that section, and the X axis throughout the underside reveals the match location on the chromosome.

You’ll recall that chromosome 5 was the chromosome from giant orange AutoSegment cluster #1 with three distinct section matches, so this makes excellent sense.

Positive sufficient, once I view my DNAPainter outcomes, that first pileup area from about location 5-45 are Brethren matches (from my maternal grandfather) and the one from about 48-95 are Acadian matches (from my maternal grandmother.) This too is sensible.

Please notice that chromosome 5 has no normal pileup areas annotated within the Li desk, so no segments would have been eliminated.

Let’s take a look at one other instance the place some segments can be eliminated.

Primarily based on the chromosome desk from the Li paper, chromosome 15 has practically back-to-back pileup areas from about 20-30 with nearly 20 cM of DNA mixed.

Let’s see what my Pileup Section Removing Report for chromosome 15 reveals.

No section matches on this area are reported as a result of I chosen take away pileup areas.

The one technique to inform what number of section matches have been eliminated on this area is to run the report and NOT choose the take away pileup segments possibility. I did that as a foundation for comparability.

You’ll be able to see that about three segments have been eliminated and apparently a type of segments prolonged additional than the opposite two. It’s additionally fascinating that although that is designated as a pileup area, I had fewer matches on this area than on different parts of the chromosome.

If I wish to see who these segments belong to, I can simply view my chromosome 15 ends in the AutoSegment-segment-clusters tab within the spreadsheet view which is organized neatly in chromosome order.

The one technique to inform if matches in pileup areas are genealogically legitimate and related is to work with every match or group of matches and decide in the event that they make sense. Does the match prolong past the pileup area begin and finish edge? In that case, how a lot? Are you able to determine a typical ancestor or ancestral line, and in that case, do the individuals who triangulate in that section cluster is sensible?

In fact, my family tree and due to this fact my expertise can be totally different than different folks’s. Anybody who descends primarily from an endogamous inhabitants could also be very grateful for the “take away pileups” possibility. One measurement does NOT match all. Fortuitously, we have now choices.

You’ll be able to run these experiences as many instances as you need, so you might wish to run an identical experiences and evaluate a report that removes segments that happen in pileup areas with one that doesn’t.

What’s Subsequent?

For AutoSegment at GEDmatch to work most optimally, you’ll must do three issues:

  • If you happen to don’t have one already, add a uncooked DNA file from one of many testing distributors. Instructions here.
  • Add a GEDCOM file. This lets you extra efficiently run instruments like AutoTree as a result of your ancestors are current, and it helps different folks too. Maybe they’ll determine your frequent ancestor and get in touch with you. You’ll be able to at all times e-mail your matches and recommend that they view your GEDCOM file to search for frequent ancestors or clarify what you discovered utilizing AutoTree. Anybody who has taken the time to find out about GEDmatch and add a file would possibly properly have an interest sufficient to take the time to add their GEDCOM file.
  • Persuade kin to add their DNA recordsdata too or provide to add for them. In my case, triangulating with my cousins is invaluable in figuring out which ancestors are represented by every cluster.

In case you have not but uploaded a GEDCOM file to GEDmatch, now’s a good time when you’re fascinated with it. You’ll be able to see how helpful AutoClusters and AutoSegment are, so give your self each benefit in figuring out frequent matches.

In case you have a tree at Ancestry, you possibly can simply obtain a replica and add to GEDmatch. I wrote step-by-step instructions, here. In fact, you possibly can add any GEDCOM file from one other supply together with your personal desktop laptop software program.

You by no means know, utilizing AutoSegment and AutoTree, you might simply discover frequent ancestors BETWEEN your matches that you just aren’t conscious of that may, simply would possibly, allow you to break down YOUR brick partitions and discover beforehand unknown ancestors.

AutoSegment tells you THAT you triangulate and precisely the place. Now it’s as much as you to determine why.

Give AutoSegment at GEDmatch a attempt.



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Thanks a lot.

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