From Waterfalls to the Sea

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This is an analogy about your DNA.

Recently, a Kona low flooded a lot of Oahu, HI – particularly the North Shore. I watched many videos of torrential rains and swollen waterfalls (one after another); and videos of flooded areas as all that water made its way to the sea.

Close your eyes and think of each waterfall as one of your Ancestors and then imagine each waterfall representing part of your DNA. The water flows in branches to rivers and finally into the Pacific Ocean. Each waterfall is like your DNA, flowing from a distant Ancestor and combining with DNA “flows” from other Ancestors to your parent, and then to you (you are the Pacific Ocean in this analogy).  Many different paths over time and geography winding up with you. And the same is happening on the other side of the mountain, also flowing to the Pacific – representing the DNA from your other parent…

I think it’s a good visual analogy – many Ancestor sources of parts of your DNA flowing and combining until it finally reaches you.

[22DK] Segment-ology: From Waterfalls to the Sea by Jim Bartlett 20260329

ProTools Part 27

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Shared Match Relationships

Setup: Whenever I add a Match to my Tree (usually a ThruLines hint, that I agree with), I then check the Shared Matches, sorted by ProTools by the closest relationships.  I first scroll down the list to confirm that, indeed, several of them have the same MRCA (the first thing in the Notes field). I then usually look at each one (usually down to 100cM) to see if I can link them to the base Match and/or place them in my Tree and add them to my . Usually this is done at AncestryDNA, but sometimes at MyHeritage.

Topic: In my spreadsheet I have a column for the relationship to one of the closest Matches. Format: 209cM/1C2R: Match Name.  This is strong, additional, evidence that this branch of my Tree is “fluffing out” correctly. Some observations about this relationship:

1. Usually the relationship is exactly right.

2. Usually AncestryDNA offers two alternative relationships. One is a “full” relationship, like 1C2R; and the other is a “half” relationship, like half great granduncle. These are equivalent from a DNA (cM) “math” standpoint – they would have the same cMs on average – the DNA alone couldn’t tell the difference. But relatively few of your Matches will be “half” (indicating their MRCA is one person with two different mates). You can usually tell them apart by how they fit in your Tree, or by their ages, or by a consensus among their own shared Matches. Bottom line – it’s usually the full relationship.

3. However… in a few cases the relationship doesn’t mesh with where I think they go in my Tree. There usually are other equivalent relationships; and a simple click on the Shared Matches estimate at AncestryDNA will quickly bring up a list. In this case, 2C1R, was on the list and that agreed with the genealogy.  An alternative is to keep the DNA Painter Shared cM Project tool handy – just type in the cM amount to see the equivalent relationship and other relationships that are found almost as frequently.

4. If I cannot find a reasonable close relationship, I force myself to dig a little deeper… Sometimes a Match’s Tree skips a generation or adds an extra one; infrequenly the Match has shifted the test taker to a parent or grandparent (the test taker appears to be the child of someone born in 1880…). There are several ThruLines Trees that “skip” a generation in order to generation a Match within 6C range. Sometimes, I can figure it out and put the “corrected” version in my Tree; other times I just set it aside, and NOT include that line in my linked Tree, and highlight it as probable wrong in my spreadsheet and in the Match Notes (so I don’t stumble over it again).

Bottom line: with larger Shared Matches than 100cM (or so – use your judgment), the AncestryDNA relationships are pretty accurate; but occasionally we need to use one of the other, equivalent, relationships. This relationship is a pretty good Quality Control check.

[22DK] Segment-ology: Pro Tools 27 – Shared Match Relationships; by Jim Bartlett 20260327

Musing…

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Volume 1 of Segmentology is done. Fundamentals. What to do next? Some musings – waddayathink?

1. Continue this blog. Volume 1 incorporated many of the 200 blogposts so far, but I have perhaps 100 more in various stages – from title or concept to full drafts not yet published (same “scatter-shot” range of topics…  And, as always, I encourage you to request topics .

2. Focus on Volume 2. Something like “Using the Fundamentals”. At the top of my list would be chapters on Finding Bio Ancestors; Walking The Clusters Back; Compilation of ThruLines TIDBITs; Tying in Floating Branches; Creating Your Personal Shared cM Chart; Some Core Objective Statements… What would be your catchy titles?

3. A Segmentology Collaboration platform or Forum. Some method where we could share our collective experience, insights, objectives, wish lists…. I feel there is a lot of collected wisdom among practicing “Segmentologists” – how can we capture and focus build on that? Your ideas are encouraged.

I’m not going to add an “all of the above” category, but that’s where this might go…

This blog has helped – actually “forced” – me think through, and research, and document Segmentology related concepts – to put them in plain English as best I can. I encourage you to comment on our future path. In the near term I’m going to “unload” some of my backlogged posts. I turn 83 this week, and I’m just not done with this Segmentology journey…

[99F] Segment-ology: Musing… by Jim Bartlett 20260325

Segmentology Fundamentals

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Segmentology Fundamentals

A Segmentology eBook is now available for free download at ISOGG Wiki:  https://isogg.org/wiki/Segmentology_Fundamentals

10 Chapters in 3 GROUPS (Segments, Groups, Tools) and a robust Glossary

Special thanks to all of you who have provided so much valuable feedback and encouragement on this Segmentology journey.

Sincerely,

Jim Bartlett

[99E] Segment-ology: Segmentology Fundamentals; by Jim Bartlett 20260322