2024 – A Good Year to Be a Genetic Genealogist

Every year brings new tools, websites, and approaches for genealogists to try. 2024 was exceptional! Here are four innovations that transformed my work, ranked by their impact:

1. BanyanDNA

Leah Larkin (the DNA Geek) and Margaret Press (of the DNA Doe Project) teamed up with developers and statisticians to create BanyanDNA, a tool many of us didn’t know we needed. This web-based app lets you draw complex family trees and check if the shared cM amounts match your diagram. And you don’t have to limit yourself to one DNA tester. Any pairwise comparison of DNA between any two people on the tree can be included.

BanyanDNA has become essential for me. I can run 1,000–10,000 calculations to simulate recombination randomness, validating my tree or finding the best placement for a mystery person. It even handles intricate relationships, like cousin marriages or double connections.

For example, I mapped a cousin marriage between the children of two of my 3x-great-grandparent couples: Holloway Key and his wife Catherine, and Thomas Adam Walker and his wife Julina Allen who lived in Benton County, Tennessee. In the image above I used red lines to show the descendants of the Key couple and blue lines to show the descendants of the Walker-Allen couple. The pink and purple lines represent where the two Key brothers married two Walker sisters. My mother, Gladys, and two of her siblings are DNA testers and I’ve shown three of their matches who are related to them through both couples. This kind of situation can throw off the expected amount of shared DNA, but BanyanDNA can handle it. Below is a validation run that shows me that there is one match that falls outside the expected range of shared DNA. Often when I see that result, it means I have drawn the tree wrong or mistyped the amount of shared DNA.

Summary:

I use BanyanDNA to:

  • Diagram complex trees
  • Record shared DNA between large numbers of DNA testers
  • Validate my work using statistical simulations
  • Place unknown matches on the tree.

What you need:

  • A good understanding of relationships and family trees
  • Shared DNA amounts (see Enhanced Shared Matching below)
  • A willingness to learn how to use BanyanDNA. There are recorded tutorials here, a BanyanDNA User Facebook group, and office hours for free (publicized on the Facebook group). Leah Larkin offers a webinar tutorial for a small fee.
  • Basic statistical skills to interpret the calculations.
  • Patience! Large trees with many matches take time!

2. Enhanced Shared Matching at Ancestry

MyHeritage has long offered excellent tools for genetic genealogists, like downloadable DNA segments and AutoClusters. This year, Ancestry followed MyHeritage’s lead and introduced Enhanced Shared Matching, which shows the shared DNA between you, your matches, and their mutual connections.

The image above is a privatized look at Enhanced Shared Matching at Ancestry. My DNA match is CP and I know how I am related to her. With Enhanced Shared Matching (available with an additional subscription), I can see not only how much DNA I share with our shared matches, I can now see how much DNA CP shares with them. I sorted this list by how much they share with CP which helps me discover more about her family. For example, the first match, a, shares 603 cMs with CP but only 51 cMs with me. 603 is in the range of a first cousin to CP. Match a has a 9 person tree with only two visible people on the tree whose names are not found in my family tree. But knowing they are possibly a first cousin to CP means I can likely figure out their exact relationship to me.

All of the Enhanced Shared Matching data can be entered into BanyanDNA so I can validate this branch of my family tree.

Summary:

I use Enhanced Shared Matching to:

  • Understand how my matches are related to each other.
  • Place matches without full trees on my tree.
  • Supply data for BanyanDNA calculations.

What you need:

  • A ProTools subscription (currently $10 USD/month)
  • Knowledge of shared DNA amounts
  • Tree-building skills
  • Ability to research DNA matches with incomplete or no trees.

3. Full text search at FamilySearch

FamilySearch, the world’s largest free genealogy resource expanded its capabilities in 2024. Its new Full Text search of historical records (available at FamilySearch Labs) uses AI-driven optical and handwriting recognition to unlock thousands of previously unindexed records, such as land deeds and probate files. For those working on reparative genealogy, the Freedmen’s Bureau Records are part of the collection that can be accessed.

From the FamilySearch Labs home page, click on “Go To Experiment” under the Full Text option. This will take you to a search page.

Use the keyword search to enter your names – that provides you with more opportunity to find your ancestors. I entered Calvin Whitney in Keywords, and Maine from 1800-1870 in the year range to discover the record below:

Calvin Whitney is my 4x great-grandfather. I don’t know a lot about him other than he died in October of 1832 in Thomaston, Lincoln County, Maine. His son, William E. Whitney, left Thomaston in October of 1849 for the California gold rush and later built four lime kilns at the foot of Mt. Diablo in Contra Costa County, California. This deed describes the property that Calvin Whitney purchased from David Watson in November of 1827 and that Whitney had “the liberty of digging & carrying away the lime rock from said land.”

Summary:

I use the FamilySearch Labs Full Text Search to:

  • Find digitized records that are not indexed

What you need:

  • A search strategy using keywords, places, and date ranges.
  • Patience-more records are added regularly

This brings us to the final aspect of my genealogy work that changed in 2024: my use of AI.

4. Artificial Intelligence (AI) and genealogy

AI is revolutionizing genealogy. In late 2023, I joined Steve Little when he first offered the “AI for Genealogists” course through the National Genealogy Society. In the course I learned how to do the basics with AI: summarize, extract, generate, and translate. Much of my use of AI was confined to making fun images in my brand colour scheme for presentations.

Image created by DALL-E and me.

The potential for AI became clear during a reparative genealogy project. I was provided with a Civil War diary of the ancestor of my client. This project documents the people enslaved by the client’s family on Gwynn’s Island, Virginia. I used ChatGPT to transcribe the diary and to create lists of the people and places mentioned in the diary. AI saved me hours, though I still had to check its work. I asked ChatGPT to write a commentary on the contents of the diary based on historical context. It was fascinating! Here’s the conclusion:

Conclusion

The diary of Mary T. Hunley is a compelling window into the experiences of Confederate civilians during the Civil War. While shaped by the author’s biases and Confederate loyalty, it highlights the war’s disruptive nature, the agency of enslaved people, and the fragility of Southern society. It stands as both a testament to personal endurance and a reflection of the deeply ingrained injustices of the antebellum South.

I have a long way to go before I do some of the amazing things genealogists are doing with AI. There’s a great Facebook Group, Genealogy and Artificial Intelligence (AI), Steve Little blogs and speaks regularly, and there’s a podcast, The Family History AI Show, to help you keep current. Nicole Dyer and Diana Elder at Family Locket also teach, blog, and podcast about using AI in their genealogy work.

Summary

I use AI tools to:

  • Transcribe handwritten documents
  • Summarize lengthy articles or records.
  • Create tables and lists from documents.
  • Create images.
  • Understand historical context.
  • Edit and refine my writing (including for this blog entry!)

What you need:

  • Awareness of privacy and copyright concerns.
  • Knowledge of Large Language Models (LLMs).
  • Practice, practice, practice.
  • Careful review of AI outputs

Final Thoughts

Genealogy is ever-evolving, and 2024 raised the bar with transformative tools like BanyanDNA, Enhanced Shared Matching, Full Text Search, and AI. Each one has enriched my research and streamlined my workflows. What’s next for genealogists? I can’t wait to find out!

Reflecting on 2023 and gearing up for 2024

It’s been a busy year in genetic genealogy! I’m getting a head start on reviewing the year as I plan for 2024.

You can still find me as a coach over at Your DNA Guide. Through that opportunity, I’ve connected with many people learning how powerful DNA can be to support their understanding of their family and themselves.

In addition to creating course content and coaching people at Your DNA Guide, I’ve worked with clients who are surfacing their family’s involvement in slavery. It’s an honour and privilege to support efforts to face history. Much of this work is on WikiTree as part of the US Black Heritage Project.

I’ve also enjoyed many great educational opportunities such as the 15th Annual Conference on Genetic Genealogy and the National Genealogical Society’s course on Empowering Genealogists with AI.

I’ve also provided educational opportunities for WikiTree, the Linked Descendants group at Coming to the Table, and the Indiana African American Genealogy Group. I am doing one more presentation this year for the Virtual Genealogical Association.

Next year, I’m looking forward to revamping this website, offering a hands-on course for people getting started with their DNA, and being part of an instructor team at the Genealogical Research Institute of Pittsburgh for a course coordinated by my teammate at Your DNA Guide, Kelli Bergheimer. I’ll be coaching participants in all of the Your DNA Guide courses and supporting other Academy Offerings. As part of the Your DNA Guide team, I will be attending RootsTech. I’ll be speaking for a couple of genealogy societies and expect to have a chance to work with others as the year unfolds.

Working on my own genealogy has included moving more of my family to WikiTree. This includes the ancestors of my grandchildren, which has given me an opportunity to work with more DNA testers and explore records in new geographic areas! I continue to make slow progress on some of my own DNA puzzles.

Thanks for following me on this journey!

Research Like a Pro Week 9: Copyright, Proof Arguments, and Publication

Genealogy Standard 62 is about integrity and ownership. It’s a reminder to respect copyright and ownership of other’s intellectual property. The Legal Genealogist, Judy Russell, writes about legal matters and updates on copyright law regularly in her blog. I’ve found her advice useful. I learned about two new resources for copyright: The BYU Copyright Decision Trail and the Fair Use Evaluation Log. For this project, I did not use any images that were covered by copyright. In the past I have had good luck by contacting the copyright holder and would not hesitate to do that again.

I am getting closer to a proof argument for separating the James Stokers, but there is at least one other proof needed – that linking James Stoker born in Kentucky to Edward Stoker, the Revolutionary War Veteran. I need to search land records, probate or local histories that would support parentage for either of the two younger James Stokers. 

This seems potentially publishable eventually. The confusion between the James Stokers is evident on WikiTree, FindAGrave, and Ancestry Trees.

Research Like a Pro Week 8: Report Writing

I began writing during the research process and I’m glad I did since my schedule threw some curves at me this week. I am incredibly grateful that I took the time to do the citations when I was researching! My flow is not interrupted by that technical element of the process. 

I have a rough draft and will appreciate my classmates feedback. I’m relying on bulleted lists and tables to capture the information about the different James Stokers. I am focused on walking the reader through the evidence. I like the challenge of taking complex information and trying to make it understandable.

When I have difficulty writing, I find somewhere that intrigues me and start writing about that topic. I then go back to the parts where I had been stuck. I can re-write forever, so a deadline is helpful. My first drafts are generally too wordy and passive and subsequent drafts tighten that up. I’m finding that GoogleDocs supports me to outline documents. I am a huge fan of the header system in GoogleDocs.

Research Like a Pro Week 6-7: Research Logs and Research Time

Any professional genealogist will tell you that one thing that distinguishes professional-level genealogy is the consistent and disciplined use of a research log. In the past I’ve used spreadsheets and was marginally successful. I used them sporadically but persisted in hunter/gatherer mode in my non-professional days. AirTable has been a game changer for me. I like databases and I am still learning all the ways AirTable can support organization and analysis of genealogical information, but I am an enthusiast. Filtering! Sorting! Linking between tables! There are so many features to support genealogical research.

For this project, I used the AirTable base (database) developed by Nicole Dyer for Research Like a Pro. It includes both documentary and genetic genealogy tables. This project does not include any genetic genealogy but those tables may come in handy some day. I’ve been using and adapting Nicole’s bases for a couple of years. Since I am disambiguating men of the same name, I need the information in one table to look at each man over time, so I have relied on the timeline table and some extra fields to test different ways to sort the men. Filtering and sorting allows me to visualize the information in a variety of ways.

I learned almost three years ago to create citations when I first look at a document and that has been a boon. Creating source citations can slow down the writing process. I still occasionally miss documenting every negative search and find myself going back and doing that. It’s important to keep track of the search terms, locations and time ranges to avoid rework.

Writing is next and I did start writing as I was logging the information I found, because writing helps me sort out my thoughts and create a more coherent narrative. The course provides two weeks for doing the planned research, which was welcome.