The definition of taking a break is interrupting one’s activity briefly. When I went into hiatus the end of October I didn’t expect it to be over two months before I would come back to blogging.
I was touched by the people who reached out to me while I was missing in action. Several messaged me directly to find out if all was well. From my young 3C1R Luella who I’ve known nearly two decades to my #1 reader/commenter/blogger Amy to my follower from Brazil whose ancestors lived in the same village as my ancestors.
All were worried. They didn’t know I’d fallen into a rabbit hole, spinning down winding double helix strands carrying our DNA. It took me a while to gain my orientation and find the even more twisted ladder out of the hole.
Who’s Fault Was It?
Blaine T. Bettinger shared my post How DNA Results Helped Discover Luxembourg Emigrants in the Facebook group Genetic Genealogy Tips & Techniques.
Great blog post about how the DNA Match Labeling extension for Chrome helped solve a genealogical mystery! Genetic networks and clustering tools are the future of DNA evidence!
I had no idea I was even on Blaine’s radar and it explained a spike in traffic on my blog during the week following the post. Being noticed by Blaine was fantastic.
Even more incredible was the help I received from a member of the Genetic Genealogy Tips & Techniques group. Jonathan Brecher sent a message offering to run a Shared Clustering tool he has developed on the AncestryDNA test I manage to help me tickle out the maternal matches.
As mentioned in the above post [over two months ago] maternal matches are few and far between as that side of my family tree is Luxembourgish with a few branches which reach into France and Germany during the periods of time when the area belonged to Luxembourg.
Jonathan’s tool is not yet available to the public. He sent a CSV file with the heat map of my matches and a list of the clusters in text format. He paid special attention to my starred matches as these were the ones I had already been able to identify as maternal.
The heat map generated 66 clusters. Four of these are for maternal matches while 61 are for paternal. One cluster remains unknown at this time but looks more paternal than maternal.
The number of matches in each cluster varies greatly. There are a dozen clusters with only 2-10 matches, 33 between 11-100, 11 between 101-200, 4 between 201-400, 5 between 401-500, and one with 705!
I pinned down the fourth maternal cluster this past week – when I was supposed to be working on this post. I felt the pull of that rabbit hole, again, and checked each match and their trees until I found the connection. They descend from immigrants, two BAUSTERT brothers who were great-grandsons of my 5th great-grandparents Matthias SCHRAMEN and Anna Barbara LEIBRICH (BURG) of Ferschweiler, Eifelkreis Bitburg-Prüm, Rheinland-Pfalz, Germany. Did the Baustert brothers know their 1C1R Nicholas SCHRAMEN had emigrated about 20 years earlier and originally settled in Iowa where they were also found?
What I’ve Been Working On
As the CSV file Jonathan sent included my notes, the paternal clusters were easily identified as coming from one of the four paternal grandparents’ branches. Some could even be associated with specific branches of a grandparent’s ancestral line.
I’ve been amending my notes on AncestryDNA to reflect the cluster number as well as a surname and possible generation. The cluster numbers are only for reference and make it easier to sort them on the AncestryDNA page using the Chrome extension AncestryDNA Helper or in Genome Mate Pro when sorting the MRCA (most recent common ancestors) notes.
Cluster 40 with 13 matches is labeled GROELINGER-MERGEN(6) as the MRCA have been identified as my 4th great-grandparents (6 generations back) Johann GROELINGER and Anna Maria Benedikta MERGEN. Six of the 13 matches have been identified as descendants of this couple. I’ve sent messages and am waiting for replies.
Once the notes have been fixed on AncestryDNA, I move all matches for a cluster over to Genome Mate Pro (GMP) using another Chrome extension, Pedigree Thief (collects the match information, notes, and the shared matches). When the matches are in GMP, I begin adding the matches’ trees once again with the Pedigree Thief which reads the pedigree view of the tree and converts it to an Ahnentafel chart. GMP has a very steep learning curve and I’m still trying to assimilate and grasp the abilities of the program.
I’ve developed a routine and am slowly getting matches which have been associated with a cluster entered into GMP. Nearly half of the clusters, the smallest, have been added. The larger clusters remain to be done and I’ll be spacing them out a bit. And of course, as new matches are found on Gedmatch Genesis, FTDNA, and MyHeritage they are also added to Genome Mate Pro.
I still feel the pull of the rabbit hole but I won’t let it get in the way of my returning to a regular blogging schedule.