Analyzing DNA Auto-Clusters with Pedigree Collapse: Paternal Super Cluster A

I’ve been playing with a few of the newest DNA clustering tools this winter, hoping they could give insight to my paternal family. My father’s family has a high-degree of pedigree collapse, and his parents were likely first cousins, once removed (1C1R). Other branches of his family tree also intermarried often, resulting in DNA results that are challenging to interpret.

I ran Genetic Affairs’ auto-cluster tool on my father’s AncestryDNA test with range set to 50 – 250 cM. The tool returned 206 matches, ordered below by cluster. I have also identified “super clusters” and labeled these areas A-D:

Paternal “Super Clusters” as interpreted from results of Genetic Affairs Auto-Cluster Tool, run date of 3 Jan 2019

Genetic genealogist Dana Leeds has a series of blog posts about analyzing super clusters, so I’m taking a cue from her and breaking my analysis into these smaller, more manageable chunks. Today, let’s look at Paternal Super Cluster A.

Continue reading Analyzing DNA Auto-Clusters with Pedigree Collapse: Paternal Super Cluster A

What a Tangled Web We Weave: Exploring Color Clustering with My Complicated Family

Like many users, my AncestryDNA match list is filled with testers without trees.  Over the years, I’ve built trees for matches I know in real life and those I communicated with online.  Sleuthing skills helped me fill in the gaps on some unresponsive matches.  But even after all my efforts, about a third of my closer matches (2nd – 3rd cousins) remain a mystery.

Then Dana Leeds introduced her color clustering technique to the Genetic Genealogy Tips & Techniques Facebook group.  I was eager to try it, especially on my father’s side where I have a couple long-standing brick walls.  My paternal side also has quite a bit of intermarriage among four key families, and I hoped color clustering might prove a nice way to illustrate our complex family.

I followed the instructions for clustering 2nd – 3rd cousins (those matches sharing between 90 – 400 cM) on my paternal side, and my result was not four nicely sorted columns.  I expected it to be a little messy — but 10 columns was more complicated than I anticipated:

Color Clustering - Traditional
Result of Leeds Color Clustering method on my paternal DNA matches (clustering from highest-to-lowest shared CM)

I sought Dana’s advice at her presentation to Houston Genealogical Forum’s DNA special interest group earlier this month.  While she hasn’t extensively tested this method with endogamous populations or families with pedigree collapse, Dana suggested flipping the match list and clustering from lowest to highest shared cM.  I tried her suggestion, and the 12-column result was unfortunately just as confusing:

Color Clustering - Backward
Result of Leeds Color Clustering method on my paternal DNA matches (clustering from lowest-to-highest shared CM)

I had some success on my maternal side by removing the “problematic matches”  — those testers who match me in more than one way — and then clustering.  However, the problematic matches on my paternal side are 80% of the list.  From both attempts, I can clearly identify the clusters related to my 2x-great-grandfather Joshua Lawrence Horne, but all the other families — Johnston, Smart, McMurry, and McKaskle — are extremely mixed.

To illustrate, I prepared this simple family tree of my Johnston, Smart, McMurry, and McKaskle family and the intermarriages among these families.  I then plotted my top AncestryDNA matches on the chart and realized seven (!!) of my top ten are involved in this tangled web.  No wonder my color cluster is a big blob!

Johnston-Smart-McKaskle-McMurry Intermarriage
Intermarriage of Johnston, Smart, McKaskle, and McMurry Families (highest AncestryDNA matches plotted with dotted lines) [download PDF]
As I’ve reflected on my color clustering results, I’ve come to the following conclusions:

  • Clustering will likely be difficult because of my grandparents’ shared Smart family connection (unknown relationship).
  • Close matches that would typically be helpful in sorting/filtering/clustering have multiple shared ancestors, eliminating them as useful “constants” for comparison.
  • Because of intermarriage, testers who only match my father through one ancestor couple likely exist at the 4th cousin level or greater.  Unfortunately, up to half of 4th cousins will not share enough DNA to show as a match according to ISOGG statistics.
  • I may not have enough testers on desired family branches to be helpful in clustering.

Next Steps:

  • Pursue DNA testing of these family lines:
    • Descendants of William Silas Johnston & Harriett Johnston (Johnston double-cousins)
    • Descendants of James Monroe McKaskle who did not intermarry with other family lines — Nancy Bell McKaskle, Willie Keiffer McKaskle, Sr.
    • Descendants of “lost siblings” of John McMurry from 1860 census.
  • Attempt a 4th cousin-only color cluster.  Capturing data from cousins “less intermarried” may result in clearer clusters.

31 Jan 1888: Harriett Johnston Dies on Visit to Parents, Son in Winn Parish, Louisiana

On this day 129 years ago, my 2x great-grandmother, Harriett Johnston, died on her way to visit her son and parents in Winn Parish, Louisiana.  She was 42 years old, and her husband William Silas Johnston buried her along the roadside near her parents’ land.  Her burial is the first in what became County Line Cemetery near the community of Sikes. Continue reading 31 Jan 1888: Harriett Johnston Dies on Visit to Parents, Son in Winn Parish, Louisiana

15 Sep 1861: John Johnston Enlists in the 24th Mississippi Infantry

On this day — 155 years ago — my 3x great-grandfather, John Johnston, enlisted in the 24th Mississippi Infantry as a private in the Confederate army.  He joined the Helen Johnstone Guards, later known as Company E, in Madison County, Mississippi.   Continue reading 15 Sep 1861: John Johnston Enlists in the 24th Mississippi Infantry