In the United States, we celebrate a day of thanks every November. So, this month’s post deals with something I am thankful for in the genetic genealogy community. There are SO MANY people here who deserve our gratitude: citizen scientists, search angels who help adoptees, folks who answer newbies’ questions on social media, kin who graciously agree to take a DNA test… it was hard to pick one.
In the end, I decided to write my thanks to someone who has recently developed and shared an amazing (and free!) new DNA tool: Jonny Perl and his DNA Painter.
One of the fun things about managing your DNA matches in a spreadsheet is that you can choose to log whatever matters to you. I just added a new column to mine, and I invented a new acronym to go with it! It’s MDIDS (I pronounce it M-dids); and I use it alongside MRCA (Most Recent Common Ancestor), because sometimes MRCA isn’t quite what I want.
On 25 Mar 2017, the Central Indiana DNA Interest Group is giving an in-depth presentation on the valuable (and mostly free!) DNA tools at GEDmatch.
At this program, we’ll be talking about the benefits of GEDmatch and walking through how to use the site. Of course, the most Basic perk of GEDmatch is that you can compare DNA from people who tested across different platforms (companies). On an Intermediate level, GEDmatch has tools to help you sort your matches into different lines of your family tree. For participants open to dipping their toes into Advanced territory, we’ll talk a bit about * triangulation *.
I know when I attend webinars or presentations, sometimes my brain gets full and doesn’t process everything I just heard. Then it’s helpful to have a resource to revisit later to help the more complex material sink in. So I thought I’d post something about * triangulation * on my blog this month!
I find three major strategies in using DNA to help genealogy.
What’s your learning style? How do you like to learn more about using DNA in your genealogy?
“The best laid schemes o’ mice an’ men / Gang aft agley”, as the poet [Robert Burns] says.
In other words, herein lies what worked in my project to identify a good cM threshold for “false positives”… and what didn’t.