There also seemed to be a lot of shared location data by group. It will take me a while to look through all of this. I seemed to get less information on trees, maybe that is because my groups are small.
AutoClustering is integrated for all users at MyHeritage. Autoclustering is available at GedMatch under the Tier 1 level tools. Autoclustering is no longer available at Ancestry due to the cease-and-desist order issued by Ancestry.
AutoTree and AutoPedigree click to enlarge. Share this: Print. 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. Genetic Affairs recently introduced a new tool — AutoKinship. Thanks EJ! AutoKinship automatically predicts family trees and pathways that you may be related to your matches based on how they match you and each other.
Right now, the automated AutoKinship tool is limited to 23andMe profiles, but will also work as a standalone tool where users can fill in the shared DNA information for their matches.
The default of cM excludes your closest matches. In my initial run, I made the mistake of changing the 50 cM lower threshold to 20 cM because I wanted more matches to be included. Unfortunately, the effect this had on my results was that my largest two clusters did not produce trees. Hint: EJ states that the software tool works from the smallest cluster to the largest when producing trees. You can also select between shared matches and triangulated groups.
I selected shared matches, but I may well rerun this report with triangulated groups because that provides me with a great deal of even more useful information.
Make a cup of coffee. Your report is processing. My zip file displays the names of the file inside of the zipped file, but they are not extracted. Not sure what MAC users need to do but I think it autoextracts. The bottom two files are your normal AutoCluster visual html file and the same information in an excel file. Personally, I love watching the matches all fly into place in their clusters. I have a total of 23 interrelated autoclusters.
The question is, how are we all related to each other. You can read my article about AutoClusters and how they work here. People who are members of more than one cluster are shown with those little grey squares signifying that they match people in two clusters, not just one cluster.
For example, one cluster might be my grandparents, but the second cluster might be my maternal great-great-grandfather. Membership in both clusters tells me that my matching DNA with those people in the second cluster probably descends from my great-great-grandfather. Some of the DNA matches in the first cluster assuredly also descend from that man, but some of them may descend from other related ancestors, like my maternal grandmother. We are going to focus on the first few clusters to see what kinds of information Genetic Affairs can produce about these clusters.
Notice that the first person in row 1 is related to the orange cluster, the green cluster, the purple and the brown clusters. So you can expect one person to be found potentially in multiple clusters that serve to trace those common ancestors and associated segments back in time. The AutoKinship portion of this tool creates hypothetical trees based on relationships of you to each person in the cluster, and to the other cluster members to each other.
I selected matches, not triangulated groups which is also an option. Some people do triangulate, but some people may match each other on different segments. I want to do a quick shout-out to Brit Nicholson, the statistician that works with EJ on probabilities of relationships for this tool and describes his methodology, here. In my case, clusters 1 through 5 are closely related to each other based on the common members in each cluster.
I selected cluster 1. With the exception of one person, this AutoKinship tree is accurate to the best of my knowledge. I probably know why. In one case, Charles and I share multiple ancestors.
Regardless, I do. At this point, exit from cluster one and return to your original cluster file that shows your cluster matrix. I can see all of the people I match in common with Everett in each cluster. This tells me two things:. You can import chromosome segment information into DNAPainter — instructions here. Following the painting is a visual display of each overlap region by cluster, by overlapping segment on each chromosome.
Please note that I ran this option separately at a different time, so the cluster members and clusters themselves do not necessarily correlate with the examples above. The Enriched Surname section of your report shows surnames in common found between the matches in each specific cluster. These are surnames that are found more than once among your matches. I can tell you immediately, based on these surnames, that the first cluster is the cluster formed around my great-great-grandparents, Joel Vannoy and his wife, Phebe Crumley.
Cluster 6 is less evident, but Anderson might be connected to the Vannoy family. Cluster 9 is immediately evident too.
Ferverda is Hiram Ferverda, my great-grandfather and Eva Miller is his wife. Cluster 10 is probably the Miller line as well. Indiana is a location in this case, not a surname. Each group of people that shares any surname is shown in a table together. In this case, these three people, who I happen to know are brothers, all share these surnames. The surnames they also share with me are shown with red boxes. The other surnames are shared only with each other and no one else in the cluster.
A mystery cluster is an opportunity to break down a brick wall. This report tells you which people to view on your match list who share that surname. My first step is to use that list and see who I match in common with each person at 23andMe. My relatives in common with my Cluster 10 matches include my close Ferverda cousins who descend from our common Miller ancestor, plus a few Miller cousins.
This confirms that this cluster does indeed originate in the Miller line. I have a long-standing brick wall with Magdalena surname unknown who was married to Philip Jacob Miller, my 5-times great-grandparents. My cousins through that couple, at my same generation, would be about 6th cousins. In that case, I certainly would not recognize the common surnames. I can also adjust the matching threshold to obtain more matches, hopefully, in this cluster, and run the report again.
Wow is all I can say. I have several matches that I have absolutely no idea how they are related to me. This helps a great deal and allows to me systematically approach tree-building or identifying ancestors. What Genetic Affairs provides that 23andMe does not is composite information in one place — as a group in a cluster. Yes, I used to do that.
Click on each match at 23andMe to see if they have provided notes, surnames, locations or even a link to a tree at another vendor. Is it accurate for you? Have you gained insight? Identified how people are related to you? Are there any surprises? Genetic Affairs Genetic Affairs offers a wide variety of clustering tools that help genealogists break down their brick walls by showing us, visually, how our matches match us and each other.
Those segments can and will reveal ancestors and tell us how we are related to our matches. To get started, click on the AutoSegment option. What a huge, HUGE timesaver. Just a couple of notes about options.
Your AutoSegment results will be delivered via a download link. Save and Extract All Genetic Affairs cluster files are delivered in a zipped file. Save the zip file to your computer. Extract the files from the zip file. This extracts the files from the zipped file to be used individually. I love this part. Excel As a third viewing option, you can also open the AutoSegment Excel file to view the results in an excel grid.
Notice that the colors on this sheet are coordinated with the clusters on the first sheet. Also, remember that this report only includes your top matches. AutoSegment All Genetic Affairs tools begin with an AutoCluster which is a grouping of people who all match you and some of whom match each other in each colored cluster.
Match information certainly IS useful genealogically, but those two matching people in that cell: Could be matching on unrelated chromosomes. Could be matching due to different ancestors. May or may not triangulate. Always look at the two names involved in an individual cell and work from there.
Chromosome Segment Clusters Click on any cluster in your report, above, to see the chromosome painting for that cluster. The next tool helps me visualize each of these segment clusters individually. Just scroll down. Segment Clusters Partly Linked You can see that Mark, one of the members of red cluster 3 shares two triangulated segments, one on chromosome 4, and one on chromosome As requested, cM thresholds of cM and 70 cM were used.
A total number of 32 matches were identified that were used for a AutoCluster analysis. The first zipped CSV file contains all matches that were identified. The unzipped HTML file will contain a visual representation of the AutoCluster analysis if enough matches were present for the clustering analysis. Please note that some files might be displayed incorrectly when directly opened from this email.
Instead, save the zip files to your local drive, unzip them and then open the files. Note: The match Ronald Reagon met the inclusion parameters but is not included in the chart since it was placed in an cluster without other members.
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