A Segment-ology TIDBIT
A number of folks have asked me about the different Clustering Programs, so I thought I’d post some information to get you started.
Clustering analyzes your InCommonWith (ICW) Matches at a company, and groups Matches who are ICW each other the most. Each Match in a Cluster will be ICW with most (but usually not all) of the other Matches in the Cluster. With Cluster groups of 4 or more Matches, they tend to group on a specific Ancestor, which would impute the same Ancestor to every Match in the Cluster. NB: this is not a guarantee, but it appears to work almost all the time.
Leeds Method by Dana Leeds (free)
https://www.danaleeds.com/ see the Video and updated methods
This began as a color coding method of grouping close Matches at AncestryDNA into four columns, one for each grandparent. It has been expanded.
Genetic Affairs by Evert-Jon “EJ” Blom (several spreadsheets free, then a small fee)
http://www.geneticaffairs.com/ Register first, then log in
– automates the retrieval of new genetic Matches from 23andMe, FTDNA and AncestryDNA to a periodic email; and the AutoCluster tool will cluster close/large Matches
DNAGedcom Client by Rob Worthen ($5/mo fee; $50/yr)
Register here to start: https://www.dnagedcom.com/
– log onto your DNA company, and download Match and ICW files
– use Collins” Leeds Methos 3D to run cluster report
Shared Clustering by Jonathan Brecher (free)
– installs program on your computer
-currently need to download Match and ICW files at DNAGedcom Client
MyHeritage – offers a free report by Genetic Affairs!
GEDmatch – offering a Genetic Affairs type report soon! Under Tier 1 ($10/mo fee)
My recommendations include:
– Use a large threshold (80cM to 200cM) first to get the hang of it. This will only include your closest cousins.
– If offered, use an upper threshold of 1000cM or so, to cull out parents, siblings, children, aunt/uncle – they only appear in one Cluster anyway, and don’t really add any value in most cases.
– Reducing the threshold will increase the number of Clusters, and those Clusters will tend to form on more distant Ancestors.
NB: Some additional Clustering Programs and ideas may show up in the comments below. I’ve used all of the programs above. I have also continued to do D I Y Clustering, outlined in a different Segment-ology blog post.
[22AF] Segment-ology: Clustering Programs TIDBIT by Jim Bartlett 20190404