Top Ten RootsTech 2022 DNA Sessions + All DNA Session Links

The official dates of RootsTech 2022 were March 3-5, but the sessions and content in the vendor booths are still available. I’ve compiled a list of the sessions focused on DNA, with web links on the RootsTech YouTube channel

YouTube reports the number of views, so I was able to compile that information as of March 8, 2022.

I do want to explain a couple of things to add context to the numbers.

Most speakers recorded their sessions, but a few offered live sessions which were recorded, then posted later for participants to view. However, there have been glitches in that process. While the sessions were anticipated to be available an hour or so later, that didn’t quite happen, and a couple still aren’t posted. I’m sure the presenters are distressed by this, so be sure to watch those when they are up and running.

The Zoom rooms where participants gathered for the live sessions were restricted to 500 attendees. The YouTube number of views does not include the number of live viewers, so you’ll need to add an additional number, up to 500.

When you see a number before the session name, whether recorded or live, that means that the session is part of a series. RootsTech required speakers to divide longer sessions into a series of shorter sessions no longer than 15-20 minutes each. The goal was for viewers to be able to watch the sessions one after the other, as one class, or separately, and still make sense of the content. Let’s just say this was the most challenging thing I’ve ever done as a presenter.

For recorded series sessions, these are posted as 1, 2 and 3, as you can see below with Diahan Southard’s sessions. However, with my live session series, that didn’t happen. It looks like my sessions are a series, but when you watch them, parts 1, 2 and 3 are recorded and presented as one session. Personally, I’m fine with this, because I think the information makes a lot more sense this way. However, it makes comparisons difficult.

This was only the second year for RootsTech to be virtual and the conference is absolutely HUGE, so live and learn. Next year will be smoother and hopefully, at least partially in-person too.

When I “arrived” to present my live session, “Associating Autosomal DNA Segments With Ancestors,” my lovely moderator, Rhett, told me that they were going to livestream my session to the RootsTech page on Facebook as well because they realized that the 500 Zoom seat limit had been a problem the day before with some popular sessions. I have about 9000 views for that session and more than 7,400 of them are on the RootsTech Facebook page – and that was WITHOUT any advance notice or advertising. I know that the Zoom room was full in addition. I felt kind of strange about including my results in the top ten because I had that advantage, but I didn’t know quite how to otherwise count my session. As it turns out, all sessions with more than 1000 views made it into the top ten so mine would have been there one way or another. A big thank you to everyone who watched!

I hope that the RootsTech team notices that the most viewed session is the one that was NOT constrained by the 500-seat limited AND was live-streamed on Facebook. Seems like this might be a great way to increase session views for everyone next year. Hint, hint!!!

I also want to say a huge thank you to all of the presenters for producing outstanding content. The sessions were challenging to find, plus RootsTech is always hectic, even virtually. So, I know a LOT of people will want to view these informative sessions, now that you know where to look and have more time. Please remember to “like” the session on YouTube as a way of thanking your presenter.

With 140 DNA-focused sessions available, you can watch a new session, and put it to use, every other day for the next year! How fun is that! You can use this article as your own playlist.

Please feel free to share this article with your friends and genealogy groups so everyone can learn more about using DNA for genealogy.

Ok, let’s look at the top 10. Drum roll please…

Top 10 Most Viewed RootsTech Sessions

Session Title Presenter YouTube Link Views
1 1. Associating Autosomal DNA Segments With Ancestors Roberta Estes (live) https://www.youtube.com/watch?v=_IHSCkNnX48

 

~9000: 1019 + 500 live viewers + 7,400+ Facebook
2 1. What to Do with Your DNA Test Results in 2022 (part 1 of 3) Diahan Southard https://www.youtube.com/watch?v=FENAKAYLXX4 7428
3 Who Is FamilyTreeDNA? FamilyTreeDNA – Bennett Greenspan https://www.youtube.com/watch?v=MHFtwoatJ-A 2946
4 2. What to Do with Your DNA Test Results in 2022 (part 2 of 3) Diahan Southard https://www.youtube.com/watch?v=mIllhtONhlI 2448
5 Latest DNA Painter Releases DNAPainter Jonny Perl (live) https://www.youtube.com/watch?v=iLBThU8l33o 2230 + live viewers
6 DNA Painter Introduction DNAPainter – Jonny Perl https://www.youtube.com/watch?v=Rpe5LMPNmf0 1983
7 3. What to Do with Your DNA Test Results in 2022 (part 3 of 3) Diahan Southard https://www.youtube.com/watch?v=hemY5TuLmGI 1780
8 The Tree of Mankind Age Estimates Paul Maier https://www.youtube.com/watch?v=jjkL8PWAEwk 1638
9 A Sneak Peek at FamilyTreeDNA Coming Attractions FamilyTreeDNA (live) https://www.youtube.com/watch?v=K9sKqNScvnE 1270 + live viewers

 

10 Extending Time Horizons with DNA Rob Spencer (live) https://www.youtube.com/watch?v=wppXD1Zz2sQ 1037 + live viewers

 

All DNA-Focused Sessions

I know you’ll find LOTS of goodies here. Which ones are your favorites?

  Session Presenter YouTube Link Views
1 Estimating Relationships by Combining DNA from Multiple Siblings Amy Williams https://www.youtube.com/watch?v=xs1U0ohpKSA 201
2 Overview of HAPI-DNA.org Amy Williams https://www.youtube.com/watch?v=FjNiJgWaBeQ 126
3 How do AncestryDNA® Communities help tell your story? | Ancestry® Ancestry https://www.youtube.com/watch?v=EQNpUxonQO4 183

 

4 AncestryDNA® 201 Ancestry – Crista Cowan https://www.youtube.com/watch?v=lbqpnXloM5s

 

494
5 Genealogy in a Minute: Increase Discoveries by Attaching AncestryDNA® Results to Family Tree Ancestry – Crista Cowan https://www.youtube.com/watch?v=iAqwSCO8Pvw 369
6 AncestryDNA® 101: Beginner’s Guide to AncestryDNA® | Ancestry® Ancestry – Lisa Elzey https://www.youtube.com/watch?v=-N2usCR86sY 909
7 Hidden in Plain Sight: Free People of Color in Your Family Tree Cheri Daniels https://www.youtube.com/watch?v=FUOcdhO3uDM 179
8 Finding Relatives to Prevent Hereditary Cancer ConnectMyVariant – Dr. Brian Shirts https://www.youtube.com/watch?v=LpwLGgEp2IE 63
9 Piling on the chromosomes Debbie Kennett https://www.youtube.com/watch?v=e14lMsS3rcY 465
10 Linking Families With Rare Genetic Condition Using Genealogy Deborah Neklason https://www.youtube.com/watch?v=b94lUfeAw9k 43
11 1. What to Do with Your DNA Test Results in 2022 Diahan Southard https://www.youtube.com/watch?v=FENAKAYLXX4 7428
12 1. What to Do with Your DNA Test Results in 2022 Diahan Southard https://www.youtube.com/watch?v=hemY5TuLmGI 1780
13 2. What to Do with Your DNA Test Results in 2022 Diahan Southard https://www.youtube.com/watch?v=mIllhtONhlI 2448
14 DNA Testing For Family History Diahan Southard https://www.youtube.com/watch?v=kCLuOCC924s 84

 

15 Understanding Your DNA Ethnicity Estimate at 23andMe Diana Elder

 

https://www.youtube.com/watch?v=xT1OtyvbVHE 66
16 Understanding Your Ethnicity Estimate at FamilyTreeDNA Diana Elder https://www.youtube.com/watch?v=XosjViloVE0 73
17 DNA Monkey Wrenches DNA Monkey Wrenches https://www.youtube.com/watch?v=Thv79pmII5M 245
18 Advanced Features in your Ancestral Tree and Fan Chart DNAPainter – Jonny Perl https://www.youtube.com/watch?v=4u5Vf13ZoAc 425
19 DNA Painter Introduction DNAPainter – Jonny Perl https://www.youtube.com/watch?v=Rpe5LMPNmf0 1983
20 Getting Segment Data from 23andMe DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=8EBRI85P3KQ 134
21 Getting segment data from FamilyTreeDNA DNA matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=rWnxK86a12U 169
22 Getting segment data from Gedmatch DNA matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=WF11HEL8Apk 163
23 Getting segment data from Geneanet DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=eclj8Ap0uK4 38
24 Getting segment data from MyHeritage DNA matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=9rGwOtqbg5E 160
25 Inferred Chromosome Mapping: Maximize your DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=tzd5arHkv64 688
26 Keeping track of your genetic family tree in a fan chart DNAPainter – Jonny Perl https://www.youtube.com/watch?v=W3Hcno7en94 806

 

27 Mapping a DNA Match in a Chromosome Map DNAPainter – Jonny Perl https://www.youtube.com/watch?v=A61zQFBWaiY 423
28 Setting up an Ancestral Tree and Fan Chart and Exploring Tree Completeness DNAPainter – Jonny Perl https://www.youtube.com/watch?v=lkJp5Xk1thg 77
29 Using the Shared cM Project Tool to Evaluate DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=vxhn9l3Dxg4 763
30 Your First Chromosome Map: Using your DNA Matches to Link Segments to Ancestors DNAPainter – Jonny Perl https://www.youtube.com/watch?v=tzd5arHkv64 688
31 DNA Painter for absolute beginners DNAPainter (Jonny Perl) https://www.youtube.com/watch?v=JwUWW4WHwhk 1196
32 Latest DNA Painter Releases DNAPainter (live) https://www.youtube.com/watch?v=iLBThU8l33o 2230 + live viewers
33 Unraveling your genealogy with DNA segment networks using AutoSegment from Genetic Affairs Evert-Jan Blom https://www.youtube.com/watch?v=rVpsJSqOJZI

 

162
34 Unraveling your genealogy with genetic networks using AutoCluster Evert-Jan Blom https://www.youtube.com/watch?v=ZTKSz_X7_zs 201

 

 

35 Unraveling your genealogy with reconstructed trees using AutoTree & AutoKinship from Genetic Affairs Evert-Jan Blom https://www.youtube.com/watch?v=OmDQoAn9tVw 143
36 Research Like a Pro with DNA – A Genealogist’s Guide to Finding and Confirming Ancestors with DNA Family Locket Genealogists https://www.youtube.com/watch?v=NYpLscJJQyk 183
37 How to Interpret a DNA Network Graph Family Locket Genealogists – Diana Elder https://www.youtube.com/watch?v=i83WRl1uLWY 393
38 Find and Confirm Ancestors with DNA Evidence Family Locket Genealogists – Nicole Dyer https://www.youtube.com/watch?v=DGLpV3aNuZI 144
39 How To Make A DNA Network Graph Family Locket Genealogists – Nicole Dyer https://www.youtube.com/watch?v=MLm_dVK2kAA 201
40 Create A Family Tree With Your DNA Matches-Use Lucidchart To Create A Picture Worth A Thousand Words Family Locket Genealogists – Robin Wirthlin https://www.youtube.com/watch?v=RlRIzcW-JI4 270
41 Charting Companion 7 – DNA Edition Family Tree Maker https://www.youtube.com/watch?v=k2r9rkk22nU 316

 

42 Family Finder Chromosome Browser: How to Use FamilyTreeDNA https://www.youtube.com/watch?v=w0_tgopBn_o 750

 

 

43 FamilyTreeDNA: 22 Years of Breaking Down Brick Walls FamilyTreeDNA https://www.familysearch.org/rootstech/session/familytreedna-22-years-of-breaking-down-brick-walls Not available
44 Review of Autosomal DNA, Y-DNA, & mtDNA FamilyTreeDNA  – Janine Cloud https://www.youtube.com/watch?v=EJoQVKxgaVY 77
45 Who Is FamilyTreeDNA? FamilyTreeDNA – Bennett Greenspan https://www.youtube.com/watch?v=MHFtwoatJ-A 2946
46 Part 1: How to Interpret Y-DNA Results, A Walk Through the Big Y FamilyTreeDNA – Casimir Roman https://www.youtube.com/watch?v=ra1cjGgvhRw 684

 

47 Part 2: How to Interpret Y-DNA Results, A Walk Through the Big Y FamilyTreeDNA – Casimir Roman https://www.youtube.com/watch?v=CgqcjBD6N8Y

 

259
48 Big Y-700: A Brief Overview FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=IefUipZcLCQ 96
49 Mitochondrial DNA & The Million Mito Project FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=5Zppv2uAa6I 179
50 Mitochondrial DNA: What is a Heteroplasmy FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=ZeGTyUDKySk 57
51 Y-DNA Big Y: A Lifetime Analysis FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=E6NEU92rpiM 154
52 Y-DNA: How SNPs Are Added to the Y Haplotree FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=CGQaYcroRwY 220
53 Family Finder myOrigins: Beginner’s Guide FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=VrJNpSv8nlA 88
54 Mitochondrial DNA: Matches Map & Results for mtDNA FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=YtA1j01MOvs 190
55 Mitochondrial DNA: mtDNA Mutations Explained FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=awPs0cmZApE 340

 

56 Y-DNA: Haplotree and SNPs Page Overview FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=FOuVhoMD-hw 432
57 Y-DNA: Understanding the Y-STR Results Page FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=gCeZz1rQplI 148
58 Y-DNA: What Is Genetic Distance? FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=qJ6wY6ILhfg 149
59 DNA Tools: myOrigins 3.0 Explained, Part 1 FamilyTreeDNA – Paul Maier https://www.youtube.com/watch?v=ACgY3F4-w78 74

 

60 DNA Tools: myOrigins 3.0 Explained, Part 2 FamilyTreeDNA – Paul Maier https://www.youtube.com/watch?v=h7qU36bIFg0 50
61 DNA Tools: myOrigins 3.0 Explained, Part 3 FamilyTreeDNA – Paul Maier https://www.youtube.com/watch?v=SWlGPm8BGyU 36
62 African American Genealogy Research Tips FamilyTreeDNA – Sherman McRae https://www.youtube.com/watch?v=XdbkM58rXIQ 153

 

63 Connecting With My Ancestors Through Y-DNA FamilyTreeDNA – Sherman McRae https://www.youtube.com/watch?v=xbo1XnLkuQU 200
64 Join The Million Mito Project FamilyTreeDNA (Join link) https://www.familysearch.org/rootstech/session/join-the-million-mito-project link
65 View the World’s Largest mtDNA Haplotree FamilyTreeDNA (Link to mtDNA tree) https://www.familytreedna.com/public/mt-dna-haplotree/L n/a
66 View the World’s Largest Y Haplotree FamilyTreeDNA (Link to Y tree) https://www.familytreedna.com/public/y-dna-haplotree/A link
67 A Sneak Peek at FamilyTreeDNA Coming Attractions FamilyTreeDNA (live) https://www.youtube.com/watch?v=K9sKqNScvnE 1270 + live viewers

 

68 DNA Upload: How to Transfer Your Autosomal DNA Data FamilyTreeDNA -Katy Rowe https://www.youtube.com/watch?v=CS-rH_HrGlo 303
69 Family Finder myOrigins: How to Compare Origins With Your DNA Matches FamilyTreeDNA -Katy Rowe https://www.youtube.com/watch?v=7mBmWhM4j9Y 145
70 Join Group Projects at FamilyTreeDNA FamilyTreeDNA link to learning center article) https://www.familysearch.org/rootstech/session/join-group-projects-at-familytreedna link

 

71 Product Demo – Unraveling your genealogy with reconstructed trees using AutoKinship GEDmatch https://www.youtube.com/watch?v=R7_W0FM5U7c 803
72 Towards a Genetic Genealogy Driven Irish Reference Genome Gerard Corcoran https://www.youtube.com/watch?v=6Kx8qeNiVmo 155

 

73 Discovering Biological Origins in Chile With DNA: Simple Triangulation Gonzalo Alexis Luengo Orellana https://www.youtube.com/watch?v=WcVby54Uigc 40
74 Cousin Lynne: An Adoption Story International Association of Jewish Genealogical Societies https://www.youtube.com/watch?v=AptMcV4_B4o 111
75 Using DNA Testing to Uncover Native Ancestry Janine Cloud https://www.youtube.com/watch?v=edzebJXepMA 205
76 1. Forensic Genetic Genealogy Jarrett Ross https://www.youtube.com/watch?v=0euIDZTmx5g 58
77 Reunited and it Feels so Good Jennifer Mendelsohn https://www.youtube.com/watch?v=X-hxjm7grBE 57

 

78 Genealogical Research and DNA Testing: The Perfect Companions Kimberly Brown https://www.youtube.com/watch?v=X82jA3xUVXk 80
79 Finding a Jewish Sperm Donor Kitty Munson Cooper https://www.youtube.com/watch?v=iKRjFfNcpug 164
80 Using DNA in South African Genealogy Linda Farrell https://www.youtube.com/watch?v=HXkbBWmORM0 141
81 Using DNA Group Projects In Your Family History Research Mags Gaulden https://www.youtube.com/watch?v=0tX7QDib4Cw 165
82 2. The Expansion of Genealogy Into Forensics Marybeth Sciaretta https://www.youtube.com/watch?v=HcEO-rMe3Xo 35

 

83 DNA Interest Groups That Keep ’em Coming Back McKell Keeney (live) https://www.youtube.com/watch?v=HFwpmtA_QbE 180 plus live viewers
84 Searching for Close Relatives with Your DNA Results Mckell Keeney (live) https://www.familysearch.org/rootstech/session/searching-for-close-relatives-with-your-dna-results Not yet available
85 Top Ten Reasons To DNA Test For Family History Michelle Leonard https://www.youtube.com/watch?v=1B9hEeu_dic 181
86 Top Tips For Identifying DNA Matches Michelle Leonard https://www.youtube.com/watch?v=-3Oay_btNAI 306
87 Maximising Messages Michelle Patient https://www.youtube.com/watch?v=4TRmn0qzHik 442
88 How to Filter and Sort Your DNA Matches MyHeritage https://www.youtube.com/watch?v=fmIgamFDvc8 88
89 How to Get Started with Your DNA Matches MyHeritage https://www.youtube.com/watch?v=JPOzhTxhU0E 447

 

90 How to Track DNA Kits in MyHeritage` MyHeritage https://www.youtube.com/watch?v=2W0zBbkBJ5w 28

 

91 How to Upload Your DNA Data to MyHeritage MyHeritage https://www.youtube.com/watch?v=nJ4RoZOQafY 82
92 How to Use Genetic Groups MyHeritage https://www.youtube.com/watch?v=PtDAUHN-3-4 62
My Story: Hope MyHeritage https://www.youtube.com/watch?v=qjyggKZEXYA 133
93 MyHeritage Keynote, RootsTech 2022 MyHeritage https://www.familysearch.org/rootstech/session/myheritage-keynote-rootstech-2022 Not available
94 Using Labels to Name Your DNA Match List MyHeritage https://www.youtube.com/watch?v=enJjdw1xlsk 139

 

95 An Introduction to DNA on MyHeritage MyHeritage – Daniel Horowitz https://www.youtube.com/watch?v=1I6LHezMkgc 60
96 Using MyHeritage’s Advanced DNA Tools to Shed Light on Your DNA Matches MyHeritage – Daniel Horowitz https://www.youtube.com/watch?v=Pez46Xw20b4 110
97 You’ve Got DNA Matches! Now What? MyHeritage – Daniel Horowitz https://www.youtube.com/watch?v=gl3UVksA-2E 260
98 My Story: Lizzie and Ayla MyHeritage – Elizbeth Shaltz https://www.youtube.com/watch?v=NQv6C8G39Kw 147
99 My Story: Fernando and Iwen MyHeritage – Fernando Hermansson https://www.youtube.com/watch?v=98-AR0M7fFE 165

 

100 Using the Autocluster and the Chromosome Browser to Explore Your DNA Matches MyHeritage – Gal Zruhen https://www.youtube.com/watch?v=a7aQbfP7lWU 115

 

101 My Story : Kara Ashby Utah Wedding MyHeritage – Kara Ashby https://www.youtube.com/watch?v=Qbr_gg1sDRo 200
102 When Harry Met Dotty – using DNA to break down brick walls Nick David Barratt https://www.youtube.com/watch?v=8SdnLuwWpJs 679
103 How to Add a DNA Match to Airtable Nicole Dyer https://www.youtube.com/watch?v=oKxizWIOKC0 161
104 How to Download DNA Match Lists with DNAGedcom Client Nicole Dyer https://www.youtube.com/watch?v=t9zTWnwl98E 124
105 How to Know if a Matching DNA Segment is Maternal or Paternal Nicole Dyer https://www.youtube.com/watch?v=-zd5iat7pmg 161
106 DNA Basics Part I Centimorgans and Family Relationships Origins International, Inc. dba Origins Genealogy https://www.youtube.com/watch?v=SI1yUdnSpHA 372
107 DNA Basics Part II Clustering and Connecting Your DNA Matches Origins International, Inc. dba Origins Genealogy https://www.youtube.com/watch?v=ECs4a1hwGcs 333
108 DNA Basics Part III Charting Your DNA Matches to Get Answers Origins International, Inc. dba Origins Genealogy https://www.youtube.com/watch?v=qzybjN0JBGY 270
109 2. Using Cluster Auto Painter Patricia Coleman https://www.youtube.com/watch?v=-nfLixwxKN4 691
110 3. Using Online Irish Records Patricia Coleman https://www.youtube.com/watch?v=mZsB0l4z4os 802
111 Exploring Different Types of Clusters Patricia Coleman https://www.youtube.com/watch?v=eEZBFPC8aL4 972

 

112 The Million Mito Project: Growing the Family Tree of Womankind Paul Maier https://www.youtube.com/watch?v=cpctoeKb0Kw 541
113 The Tree of Mankind Age Estimates Paul Maier https://www.youtube.com/watch?v=jjkL8PWAEwk 1638
114 Y-DNA and Mitochondrial DNA Testing Plans Paul Woodbury https://www.youtube.com/watch?v=akymSm0QKaY 168
115 Finding Biological Family Price Genealogy https://www.youtube.com/watch?v=4xh-r3hZ6Hw 137
116 What Y-DNA Testing Can Do for You Richard Hill https://www.youtube.com/watch?v=a094YhIY4HU 191
117 Extending Time Horizons with DNA Rob Spencer (live) https://www.youtube.com/watch?v=wppXD1Zz2sQ 1037 + live viewers
118 DNA for Native American Ancestry by Roberta Estes Roberta Estes https://www.youtube.com/watch?v=EbNyXCFfp4M 212
119 1. Associating Autosomal DNA Segments With Ancestors Roberta Estes (live) https://www.youtube.com/watch?v=_IHSCkNnX48

 

~9000: 1019 + 500 live viewers + 7,400+ Facebook
120 1. What Can I Do With Ancestral DNA Segments? Roberta Estes (live) https://www.youtube.com/watch?v=Suv3l4iZYAQ 325 plus live viewers

 

121 Native American DNA – Ancient and Contemporary Maps Roberta Estes (live) https://www.youtube.com/watch?v=dFTl2vXUz_0 212 plus 483 live viewers

 

122 How Can DNA Enhance My Family History Research? Robin Wirthlin https://www.youtube.com/watch?v=f3KKW-U2P6w 102
123 How to Analyze a DNA Match Robin Wirthlin https://www.youtube.com/watch?v=LTL8NbpROwM 367
124 1. Jewish Ethnicity & DNA: History, Migration, Genetics Schelly Talalay Dardashti https://www.youtube.com/watch?v=AIJyphGEZTA 82

 

125 2. Jewish Ethnicity & DNA: History, Migration, Genetics Schelly Talalay Dardashti https://www.youtube.com/watch?v=VM3MCYM0hkI 72
126 Ask us about DNA Talking Family History (live) https://www.youtube.com/watch?v=kv_RfR6OPpU 96 plus live viewers
127 1. An Introduction to Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=WNhErW5UVKU

 

183
128 2. An Introduction to Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=CRpQ8EVOShI 110

 

129 Common Problems When Doing Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=hzFxtBS5a8Y 68
130 Cross Visual Phasing to Go Back Another Generation Tanner Blair Tolman https://www.youtube.com/watch?v=MrrMqhfiwbs 64
131 DNA Basics Tanner Blair Tolman https://www.youtube.com/watch?v=OCMUz-kXNZc 155
132 DNA Painter and Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=2-eh1L4wOmQ 155
133 DNA Painter Part 2: Chromosome Mapping Tanner Blair Tolman https://www.youtube.com/watch?v=zgOJDRG7hJc 172
134 DNA Painter Part 3: The Inferred Segment Generator Tanner Blair Tolman https://www.youtube.com/watch?v=96ai8nM4lzo

 

100
135 DNA Painter Part 4: The Distinct Segment Generator Tanner Blair Tolman https://www.youtube.com/watch?v=Pu-WIEQ_8vc 83
136 DNA Painter Part 5: Ancestral Trees Tanner Blair Tolman https://www.youtube.com/watch?v=dkYDeFLduKA 73
137 Understanding Your DNA Ethnicity Results Tanner Blair Tolman https://www.youtube.com/watch?v=4tAd8jK6Bgw 518
138 What’s New at GEDmatch Tim Janzen https://www.youtube.com/watch?v=AjA59BG_cF4

 

515
139 What Does it Mean to Have Neanderthal Ancestry? Ugo Perego https://www.youtube.com/watch?v=DshCKDW07so 190
140 Big Y-700 Your DNA Guide https://www.youtube.com/watch?v=rIFC69qswiA 143
141 Next Steps with Your DNA Your DNA Guide – Diahan Southard (live) https://www.familysearch.org/rootstech/session/next-steps-with-your-dna Not yet available

Additions:

142  Adventures of an Amateur Genetic Genealogist – Geoff Nelson https://www.familysearch.org/rootstech/session/adventures-of-an-amateur-genetic-genealogist     291 views

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DNA from 459 Ancient British Isles Burials Reveals Relationships – Does Yours Match?

In December 2021, two major papers were released that focused on the ancient DNA of burials from Great Britain. The paper, A high-resolution picture of kinship practices in an Early Neolithic tomb by Fowler et al provided a genetic analysis of 35 individuals from a Cotswold Neolithic burial who were found to be a multi-generational family unit. In Large-scale migration into Britain during the Middle to Late Bronze Age by Patterson et, the authors generated genome-wide data for 793 ancient burials from the British Isles and continental Europe to determine who settled Great Britain, from where, and when.

Of course, the very first thing genealogists want to know is, “Am I related?”

If we are related, it’s far too distant for the reach of autosomal DNA, but Y DNA and mitochondrial DNA might just be very interesting. If you haven’t yet tested your mother’s line mitochondrial DNA for males and females both, and paternal line Y DNA for males only, you’re in luck because you can purchase those tests here.

These two papers combined provide a significant window into the past in Great Britain; England, Scotland, Wales, and nearby islands.

First, let’s take a look at the Cotswold region.

The Cotswolds

Ancient DNA was retrieved from a cairn burial in the Cotswolds, a hilly region of Southwest England.

By Saffron Blaze – Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=15675403

Even today, the paused-in-time stone houses, fences, and ancient gardens harken back to earlier times.

By Peter K Burian – Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=70384620

Stunningly beautiful and historically important, the Cotswolds is a protected landscape that includes Neolithic burial chambers (3950-2450 BCE), Bronze and Iron Age forts, Roman villas, and eventually, the Celtic pathway known as Fosse Way.

The Hazelton North Long-Tomb Burial Site

The Fowler paper explores the kinship practices and relationships between the Cotswolds burials.

Click to enlarge images

The North Hazelton site was endangered due to repeated plowing in a farmer’s field. Excavation of the tomb occurred in 1981. A book was published in 1990 with a pdf file available at that link. The photo from 1979 on page 3 shows that the burial cairn only looks to be a slight rise in the field.

You can see on the map below from the UK Megalithic site map that there are many other locations in close proximity to the Hazelton North site, some with similarly arranged burials.

The paper’s authors state that there are 100 long cairns within 50 km of Hazelton North, and one only 80 meters away. Excavation in those tombs, along with archaeological evaluation would be needed to determine the ages of the cairns, if burial practices were the same or similar, and if any of the individuals were related to each other or the individuals in the North Hazelton cairn. In other words, were these separate cemeteries of an extended family, or disconnected burial grounds of different groups of people over time.

While the North Hazelton site no longer exists, as it was entirely excavated, on the same page, you can see photos before excavation, along with the main chamber which now resides in the Corinium Museum in Cirencester, just a few kilometers away.

The Fowler team analyzed 35 individuals who lived about 5,700 years ago, at least 100 years after cattle and cereal cultivation was introduced to Britain along with the construction of megalithic monuments. Stonehenge, the most well-known megalith, is located about 90 miles away and is estimated to be about 5,100 years old. The burials from Stonehenge indicate that they were primarily Early European Farmers (EEF) from Anatolia who first moved to Iberia, then on to Britain.

The remains analyzed in this paper were excavated from the Hazelton North Megalithic long-cairn type tomb.

The tomb was built between 5,695 and 5,650 years ago, with the stonework of the north passage collapsing and sealing off the north chamber between 5,660 and 5,630 years ago. All burials stopped in this location about 5,620 years ago, so the site was only in use for about 80 years.

The tomb seems to have been built with multiple passages in anticipation of planned burials by genealogical association. The arrangement of burials was determined by kinship, at least until the passage wall of the North chamber collapsed. The southern and northern chambers each housed two females’ descendants, respectively. While the male progenitor was significant in that this entire tomb was clearly his family tomb, the arrangement of the burials within the chambers suggests that the women were socially significant in the community, and to their families as well.

Osteological analysis reveals at least 41 individuals, 22 of whom were adults. Strontium isotope analysis indicates that most of the individuals had spent time in their childhood at least 40 km away. Authors of a 2015 paper interpret this to mean that the population as a whole was not sedentary, meaning that they may have moved with their livestock from place to place, perhaps based on seasons. Of course, this also calls into question what happened if an individual died while the group was not in the location of the burial cairn.

Of those individuals, 27 people were part of a 5-generation family with many interrelationships.

Of the 15 intergenerational genetic transmissions, all were through men, meaning every third, fourth or fifth generation individual was connected to the original patriarch through only males, suggesting that patrilineal descent determined who was buried in a Neolithic tomb. This also tells us that patrilineal social practices were persistent.

26 of 35 people with genetic data were male. Male burials in other Cotswold tombs outnumber females 1.6 to 1. The remains of some women must have been treated differently.

No adult lineage daughters were present in the tomb, although two infant daughters were, suggesting that adult daughters were out-married, outside of either the community or this specific family lineage. They would have been buried in their husband’s tomb, just as these women were buried here.

The male progenitor reproduced with 4 females, producing 14 adult sons who were buried in the tomb. All four females were buried in the tomb, in two chambers, suggesting that women, at least high-status women were buried with their partners and not in their father’s tomb.

The lineages of two of those women were buried in the same half of the tomb over all generations, suggesting maternal lineages were socially important.

The burials included four men who did not descend from the male progenitors of the clan lineage but DID descend from women who also had children with the progenitors. The authors state that this suggests that the progenitor men adopted the four children of their mates into their lineage, but it also raises the possibility that the progenitor men were not aware that those four men were not their descendants.

Multiple reproductive partners of men were not related to each other, but multiple reproductive partners of women were.

Eight individuals found within the tomb were not closely related to the main lineages. This could mean that they were partners of men who did not reproduce, or who had only adult daughters. It could also mean they were socially important, but not biologically related to either each other nor the tomb’s family members whose DNA was sampled.

Of those who are related, inbreeding had been avoided meaning the parents of individuals were not related to each other based on runs of homozygosity (ROH).

Some of the remains from the north chamber had been gnawed by scavengers, apparently before burial, and three cremations were buried at the entrance including an infant, a child, and an adult. This might answer the question of what happened if someone died while the group was away from the burial site.

Individuals in the north tomb exhibited osteoarthritis typical of other burials in southern England, and signs of nutritional stress in childhood.

The south chamber burials were more co-mingled and dispersed among neighboring compartments.

In the Guardian article, World’s oldest family tree revealed in 5,700-year-old Cotswolds tomb, a genetic pedigree chart was drawn based on the burials, their relationship to each other, and burial locations.

As discussed in this PNAS paper, Megalithic tombs in western and northern Neolithic Europe were linked to a kindred society, other Neolithic tomb burials in Europe were also reflective of a kinship system.

The question remains, where did the Cotswold settlers come from? Who were they descended from and related to? The second paper provides insights to that question.

Who Migrated into Britain, and When?

Patterson et al tell us that their DNA analysis of 793 individuals increased the data from the Middle (1550-1150 BCE) to Late Bronze (1150-750 BCE) and Iron Age (70-BCE-43CE) in Britain by 12-fold, and from Western and Central Europe by 3.5 times.

They also reveal that present-day people from England and Wales carry more ancestry derived from Early European Farmers than people from the Early Bronze Age.

The DNA contributed from Early European Farmers (EEF) increased over time in people in the southern portion of Britain and Wales, which includes the Cotswold region, but did not increase in northern Britain (Scotland,) nor in Kent. Specifically, from 31% in the Early Bronze Age to 34% in the Middle Bronze Age to 35% in the Late Bronze Age to 38% in the Iron Age.

While the EEF DNA increased over time in the Southwest area of Britain, it decreased in other regions. This means that the increase could not be explained by migration from northern continental Europe in the medieval period because those early migrants carried even less Early European Farmer ancestry than the inhabitants of Southwest Britain. Therefore, if those two populations had admixed, the results would be progressively lower EEF in Southwest Britain, not higher.

To fully evaluate this data, the team sequenced earlier samples from both Britain and mainland Europe in addition to the Cotswold burials, targeting 1.2 million SNP locations.

In addition to DNA sequencing, they also utilized radiocarbon dating to confirm the age of the remains.

Results for low-coverage individuals, meaning those with less than 30,000 SNPs scanned at least once, were removed from the data set.

123 individuals were identified as related to each other from 48 families within the third degree. Third-degree relatives share approximately 12.5% of their DNA and would include first cousins, great-grandparents/children, granduncles/aunts, half uncles/aunts/nieces/nephews.

Lactase persistence, the ability to digest the lactose in milk was significantly higher in this population than in either the rest of Britain or Central and Western Europe by a factor of 5 or greater.

The DNA of the Cotswold burial groups and others found from this early timeframe in Southwest Britain and Wales is most similar to ancient burials from France.

A Eupedia megalithic culture page shows a map of various major megalithic sites in both Europe and the British Isles.

Based on charts in Figure 4 of the paper, the location in Europe with the highest percentage of EEF about 4300 years ago (2300 BCE) was the Iberian Peninsula – Spain and Portugal, a location that neighbors France. Lactase persistence began increasing about that time and dramatically rose about 3500 years ago (1500 BCE.)

Y DNA haplogroup R-L21/M529 went from 0% in the Neolithic era (3950-2450 BCE,) or about 5950-4450 years ago) in Britain to 90% in all of Britain in the Early Bronze Era (2450-1550 BCE or 4450-3550 years ago), then dropped slowly to about 70% in the Iron Age in Western England and Wales, then 50% in western Britain and Wales and 20% in Central and Eastern Britain in the Modern Era.

You can read more about this research in this Phys.org article: Geneticists’ new research on ancient Britain contains insights on language, ancestry, kinship, milk, and more about Megalithic burials in France in this Smithsonian Magazine article: Europe’s Megalithic Monuments Originated in France and Spread by Sea Routes, new Study Suggests.

Are You Connected?

The paper authors made the resequenced Y DNA and mitochondrial DNA information available for analysis.

Of course, we all want to know if we are connected with these people, especially if our families have origins in the British Isles.

The R&D team at FamilyTreeDNA downloaded the Y DNA and mitochondrial DNA sequences and linked them to mapped locations. They also correlated samples to Y DNA and mitochondrial DNA haplogroups and linked them to their respective public trees here and here. The Y DNA sometimes contained additional SNP information which allowed a more granular haplogroup to be assigned.

I want to specifically thank Goran Runfeldt, head of R&D, for making this valuable information available and useful for genealogists by downloading, reformatting, and mapping the data, and Michael Sager, phylogeneticist in the FamilyTreeDNA lab, for reanalyzing the Y DNA results and refining them beyond the papers.

Now, let’s get to the best part.

The Map

This map shows the locations of 459 ancient British Isles burials included in the papers, both in the Cotswolds and throughout the rest of Great Britain.

There are significantly more mitochondrial DNA haplogroups represented than Y DNA. Of course, everyone, males and females both have mitochondrial DNA, so everyone can test, but only males carry Y DNA.

The next map shows the distribution of the base mitochondrial haplogroups.

  • H=light green (181 samples)
  • U=rust (70 samples)
  • K=burgundy (68 samples)
  • J=yellow (46 samples)
  • T=dark green (43 samples)
  • V=grey (16 samples)
  • X=dark teal (9 samples)
  • I=orange (6 samples)
  • W=purple (6 samples)
  • N=brown (2 samples)

The most common mitochondrial haplogroup found is H which is unsurprising given that H is the most common haplogroup in Europe as well.

It’s interesting to note that there is no clear haplogroup distribution pattern for either Y DNA or mitochondrial  DNA, with the exception of the North Hazelton burials themselves as outlined in the paper.

There were only three ancient major Y DNA haplogroups discovered.

  • R=green (179 samples)
  • I=gold (50 samples)
  • G=blue (5 samples)

225 total samples were female and had no Y chromosome. A few male Y chromosomes were not recoverable.

Of course, some samples on the maps fall directly beneath other samples, so it’s difficult to discern multiple samples from the same location.

For that, and for more granular haplogroups, we need to refer to the data itself.

How to Use the Data

Each sample is identified by:

  • A sample ID from the papers
  • Sex
  • Location with a google map link.
  • Age calibrated to BCE, before current era, which means roughly how many years before about the year 1 that someone lived. To determine approximately how long ago one of these people lived, add 2000 to the BCE date. For example, 3500 BCE equates to 5500 years ago.
  • Y DNA haplogroup for male samples where recoverable, linked to FamilyTreeDNA’s public Y DNA haplotree.
  • Mitochondrial DNA haplogroup for all but 2 samples where mitochondrial results were not recoverable, linked to FamilyTreeDNA’s public mitochondrial DNA haplotree.

If you have tested your full sequence mitochondrial DNA, you can use the browser search function (ctrl+F) on a PC to search for your haplogroup. For example. Searching for haplogroup H61 produces 5 results. Click on the sample locations to view where they were found. Are they in close proximity to each other? In the same burial?

Four were found at the same location in the Channel Islands, and one in Kent. Where is your ancestor from?

For Y DNA, you can search for your haplogroup, but if you’ve taken the Big Y test and don’t find your specific haplogroup, you might want to use the Y DNA tree to search for successive upstream haplogroups to see where your closest ancient match might be found. Of course, if you’re haplogroup G, it’s pretty easy to just take a look without searching for each individual haplogroup. Just search for “G-“.

For each sample, be sure to click on the haplogroup name itself to view its location on the tree and where else in the world this haplogroup is found. Let’s look at a couple of examples.

Sample: I26628 (Female)
Location: Channel Islands, Alderney, Longis Common
Age: 756-416 calBCE
mtDNA: H61

Mitochondrial haplogroup H61, above, is fairly rare and currently found sparsely in several countries including England, Germany, Hungary, Belarus, Ireland, Netherlands, the UK, and France. The flags indicate the location of FamilyTreeDNA testers’ earliest known ancestor of their mitochondrial, meaning direct matrilineal, line.

Click on the haplogroup link to view the results in the Y or mtDNA trees.

Next, let’s look at a Y DNA sample.

Sample: I16427 (Male)
Location: Channel Islands, Guernsey, Vale, Le Déhus
Age: 4234-3979 calBCE
Y-DNA: I-M423
mtDNA: X2b-T226C

Haplogroup I-M423 itself is found most frequently in Germany, Poland, Ukraine, Scotland and Ireland, but note that it also has 648 downstream branches defined. You may match I-M423 by virtue of belonging to a downstream branch.

Do you match any of these ancient samples, and where were your ancestors from?

Sample: I26630 (Male)
Location: Channel Islands, Alderney, Longis Common
Age: 749-403 calBCE
mtDNA: H61

Sample: I16430 (Female)
Location: Channel Islands, Alderney, Longis Common
Age: 337-52 calBCE
mtDNA: H61

Sample: I16505 (Female)
Location: Channel Islands, Alderney, Longis Common
Age: 174-45 calBCE
mtDNA: H61

Sample: I26629 (Female)
Location: Channel Islands, Alderney, Longis Common
Age: 170 calBCE – 90 calCE
mtDNA: U5a1b1

Sample: I16437 (Female)
Location: Channel Islands, Guernsey, Vale, Le Déhus
Age: 4241-4050 calBCE
mtDNA: K1b1a1

Sample: I16444 (Male)
Location: Channel Islands, Guernsey, Vale, Le Déhus
Age: 4228-3968 calBCE
Y-DNA: I-FT376000
mtDNA: J1c1b1

Sample: I16429 (Male)
Location: Channel Islands, Guernsey, Vale, Le Déhus
Age: 3088-2914 calBCE
mtDNA: K1

Sample: I16425 (Female)
Location: Channel Islands, Guernsey, Vale, Le Déhus
Age: 3083-2912 calBCE
mtDNA: K1a4a1

Sample: I16438 (Male)
Location: Channel Islands, Guernsey, Vale, Le Déhus
Age: 2567-2301 calBCE
Y-DNA: I-L623
mtDNA: J1c8

Sample: I16436 (Male)
Location: Channel Islands, Herm, The Common
Age: 3954-3773 calBCE
Y-DNA: I-CTS7213
mtDNA: HV

Sample: I16435 (Male)
Location: Channel Islands, Herm, The Common
Age: 3646-3527 calBCE
mtDNA: H

Sample: I16597 (Male)
Location: England, Bedfordshire, Broom Quarry
Age: 404-209 calBCE
Y-DNA: R-DF49
mtDNA: H1-C16355T

Sample: I21293 (Female)
Location: England, Bedfordshire, Broom Quarry
Age: 425-200 BCE
mtDNA: J1c1b

Sample: I11151 (Male)
Location: England, Bedfordshire, Broom Quarry
Age: 379-197 calBCE
Y-DNA: R-FT44983
mtDNA: K1a-T195C!

Sample: I11150 (Male)
Location: England, Bedfordshire, Broom Quarry
Age: 381-197 calBCE
Y-DNA: R-FT335377
mtDNA: H15a1

Sample: I19047 (Male)
Location: England, Cambridgeshire, Babraham Research Campus (ARC05), ARES site
Age: 1-50 CE
Y-DNA: R-M269
mtDNA: H2a

Sample: I19045 (Male)
Location: England, Cambridgeshire, Marshall’s Jaguar Land Rover New Showroom (JLU15)
Age: 388-206 calBCE
Y-DNA: G-S23438
mtDNA: U4a2

Sample: I19046 (Male)
Location: England, Cambridgeshire, Marshall’s Jaguar Land Rover New Showroom (JLU15)
Age: 383-197 calBCE
Y-DNA: R-P312
mtDNA: H1t

Sample: I19044 (Male)
Location: England, Cambridgeshire, Marshall’s Jaguar Land Rover New Showroom (JLU15)
Age: 381-199 calBCE
Y-DNA: R-FT50512
mtDNA: K1a-T195C!

Sample: I11152 (Male)
Location: England, Cambridgeshire, Over
Age: 355-59 calBCE
Y-DNA: G-Z16775
mtDNA: U3a1

Sample: I11149 (Male)
Location: England, Cambridgeshire, Teversham (Marshall’s) Evaluation
Age: 733-397 calBCE
Y-DNA: R-Z156
mtDNA: V

Sample: I11154 (Female)
Location: England, Cambridgeshire, Trumpington Meadows
Age: 743-404 calBCE
mtDNA: H5a1

Sample: I13729 (Female)
Location: England, Cambridgeshire, Trumpington Meadows
Age: 512-236 calBCE
mtDNA: H1ag1

Sample: I11153 (Male)
Location: England, Cambridgeshire, Trumpington Meadows
Age: 405-209 calBCE
Y-DNA: R-FGC33066
mtDNA: H3b

Sample: I13727 (Female)
Location: England, Cambridgeshire, Trumpington Meadows
Age: 389-208 calBCE
mtDNA: T1a1

Sample: I13728 (Male)
Location: England, Cambridgeshire, Trumpington Meadows
Age: 381-179 calBCE
Y-DNA: R-P312
mtDNA: T2a1a

Sample: I13687 (Female)
Location: England, Cambridgeshire, Trumpington Meadows
Age: 368-173 calBCE
mtDNA: W1c

Sample: I11156 (Male)
Location: England, Cambridgeshire, Whittlesey, Bradley Fen
Age: 382-200 calBCE
Y-DNA: R-CTS8704
mtDNA: J1c3

Sample: I11997 (Male)
Location: England, Cambridgeshire, Whittlesey, Bradley Fen
Age: 377-197 calBCE
Y-DNA: R-FGC36434
mtDNA: X2b-T226C

Sample: I16620 (Female)
Location: England, Co. Durham, Hartlepool, Catcote
Age: 340 BCE – 6 CE
mtDNA: H1bs

Sample: I12790 (Female)
Location: England, Cornwall, Newquay, Tregunnel
Age: 400-100 BCE
mtDNA: H2a1

Sample: I12793 (Male)
Location: England, Cornwall, Newquay, Tregunnel
Age: 400-100 BCE
Y-DNA: R-L21
mtDNA: H2a1

Sample: I12792 (Female)
Location: England, Cornwall, Newquay, Tregunnel
Age: 400-100 BCE
mtDNA: H2a1

Sample: I16387 (Male)
Location: England, Cornwall, Newquay, Trethellan Farm
Age: 300 BCE – 100 CE
Y-DNA: R-P312
mtDNA: N/A

Sample: I16456 (Female)
Location: England, Cornwall, Newquay, Trethellan Farm
Age: 300 BCE – 100 CE
mtDNA: T1a1’3

Sample: I16455 (Male)
Location: England, Cornwall, Newquay, Trethellan Farm
Age: 300 BCE – 100 CE
Y-DNA: R-Z290
mtDNA: T1

Sample: I16386 (Female)
Location: England, Cornwall, Newquay, Trethellan Farm
Age: 300 BCE – 100 CE
mtDNA: T1a1

Sample: I16458 (Male)
Location: England, Cornwall, Newquay, Trethellan Farm
Age: 300 BCE – 100 CE
Y-DNA: R-L21
mtDNA: T2c1d-T152C!

Sample: I16457 (Female)
Location: England, Cornwall, Newquay, Trethellan Farm
Age: 300 BCE – 100 CE
mtDNA: T1a1

Sample: I16450 (Male)
Location: England, Cornwall, Newquay, Trethellan Farm
Age: 300 BCE – 100 CE
Y-DNA: R-FT32396
mtDNA: T1a1

Sample: I16424 (Female)
Location: England, Cornwall, Padstow, St. Merryn, Harlyn Bay
Age: 2285-2036 calBCE
mtDNA: R1b

Sample: I6769 (Male)
Location: England, Cornwall, Padstow, St. Merryn, Harlyn Bay
Age: 754-416 calBCE
Y-DNA: R-BY168376
mtDNA: H6a1b2

Sample: I16380 (Male)
Location: England, Cornwall, Padstow, St. Merryn, Harlyn Bay
Age: 800 BCE – 43 CE
Y-DNA: R-ZP298
mtDNA: U4b1a1a1

Sample: I16388 (Female)
Location: England, Cornwall, Padstow, St. Merryn, Harlyn Bay
Age: 800 BCE – 43 CE
mtDNA: J1c1

Sample: I16440 (Male)
Location: England, Cornwall, Padstow, St. Merryn, Harlyn Bay
Age: 800 BCE – 43 CE
Y-DNA: R-P312
mtDNA: T2c1d-T152C!

Sample: I16441 (Female)
Location: England, Cornwall, Padstow, St. Merryn, Harlyn Bay
Age: 800 BCE – 43 CE
mtDNA: J1c2e

Sample: I16442 (Female)
Location: England, Cornwall, Padstow, St. Merryn, Harlyn Bay
Age: 800 BCE – 43 CE
mtDNA: U4b1a1a1

Sample: I16439 (Female)
Location: England, Cornwall, Padstow, St. Merryn, Harlyn Bay
Age: 800 BCE – 43 CE
mtDNA: T2c1d-T152C!

Sample: I12772 (Male)
Location: England, Cornwall, Padstow, St. Merryn, Harlyn Bay
Age: 800 BCE – 43 CE
Y-DNA: G-CTS2230
mtDNA: T2c1d-T152C!

Sample: I16453 (Male)
Location: England, Cornwall, St. Mawes, Tregear Vean
Age: 800-1 BCE
Y-DNA: I-M253
mtDNA: U5a2a1

Sample: I16454 (Male)
Location: England, Cornwall, St. Merryn, Constantine Island
Age: 1381-1056 calBCE
Y-DNA: R-Z290
mtDNA: U5b2b2

Sample: I20997 (Male)
Location: England, Cumbria, Ulverston, Birkrigg Common
Age: 2450-1800 BCE
Y-DNA: R-A286
mtDNA: X2b4a

Sample: I12776 (Female)
Location: England, Derbyshire, Brassington, Carsington Pasture Cave
Age: 1918-1750 calBCE
mtDNA: U4a2c

Sample: I12774 (Male)
Location: England, Derbyshire, Brassington, Carsington Pasture Cave
Age: 758-416 calBCE
Y-DNA: R-P312
mtDNA: H10b

Sample: I12771 (Male)
Location: England, Derbyshire, Brassington, Carsington Pasture Cave
Age: 513-210 calBCE
Y-DNA: R-FT5780
mtDNA: U5b2a2a

Sample: I12778 (Male)
Location: England, Derbyshire, Brassington, Carsington Pasture Cave
Age: 381-203 calBCE
Y-DNA: R-DF5
mtDNA: H4a1a2

Sample: I3014 (Female)
Location: England, Derbyshire, Brassington, Carsington Pasture Cave
Age: 377-177 calBCE
mtDNA: H

Sample: I12775 (Male)
Location: England, Derbyshire, Brassington, Carsington Pasture Cave
Age: 361-177 calBCE
Y-DNA: R-BY9405
mtDNA: U5a1b1e

Sample: I12770 (Female)
Location: England, Derbyshire, Brassington, Carsington Pasture Cave
Age: 390-171 calBCE
mtDNA: H3b1b1

Sample: I12779 (Female)
Location: England, Derbyshire, Brassington, Carsington Pasture Cave
Age: 370-197 calBCE
mtDNA: T2b4c

Sample: I20620 (Female)
Location: England, Derbyshire, Fin Cop
Age: 382-204 calBCE
mtDNA: T2a1b1

Sample: I20627 (Female)
Location: England, Derbyshire, Fin Cop
Age: 376-203 calBCE
mtDNA: V2b

Sample: I20623 (Female)
Location: England, Derbyshire, Fin Cop
Age: 400-150 BCE
mtDNA: V2b

Sample: I20624 (Male)
Location: England, Derbyshire, Fin Cop
Age: 356-108 calBCE
Y-DNA: R-M269
mtDNA: U2e1a1

Sample: I20622 (Male)
Location: England, Derbyshire, Fin Cop
Age: 357-60 calBCE
Y-DNA: I-Y3713
mtDNA: T2c1d1

Sample: I20634 (Male)
Location: England, Derbyshire, Fin Cop
Age: 400-50 BCE
Y-DNA: R-M269
mtDNA: K2b1a1a

Sample: I20630 (Male)
Location: England, Derbyshire, Fin Cop
Age: 400-50 BCE
Y-DNA: R-L21
mtDNA: H1au1b

Sample: I20632 (Male)
Location: England, Derbyshire, Fin Cop
Age: 400-50 BCE
Y-DNA: R-P310
mtDNA: V2b

Sample: I20621 (Female)
Location: England, Derbyshire, Fin Cop
Age: 400-50 BCE
mtDNA: T2c1d1

Sample: I20631 (Female)
Location: England, Derbyshire, Fin Cop
Age: 400-50 BCE
mtDNA: V2b

Sample: I20628 (Male)
Location: England, Derbyshire, Fin Cop
Age: 351-52 calBCE
Y-DNA: R-DF13
mtDNA: I2a

Sample: I20626 (Male)
Location: England, Derbyshire, Fin Cop
Age: 346-53 calBCE
Y-DNA: I-P222
mtDNA: H7b

Sample: I20625 (Male)
Location: England, Derbyshire, Fin Cop
Age: 343-49 calBCE
Y-DNA: R-P310
mtDNA: T1a1

Sample: I27382 (Male)
Location: England, Dorset, Long Bredy, Bottle Knap
Age: 774-540 calBCE
Y-DNA: R-BY116228
mtDNA: H1

Sample: I27383 (Female)
Location: England, Dorset, Long Bredy, Bottle Knap
Age: 750-411 calBCE
mtDNA: U4c1

Sample: I27381 (Female)
Location: England, Dorset, Long Bredy, Bottle Knap
Age: 748-406 calBCE
mtDNA: U4c1

Sample: I20615 (Female)
Location: England, Dorset, Worth Matravers, Football Field
Age: 100 BCE – 50 CE
mtDNA: H1i

Sample: I22065 (Male)
Location: England, East Riding of Yorkshire, Burstwick
Age: 351-55 calBCE
Y-DNA: R-P312
mtDNA: H

Sample: I22052 (Female)
Location: England, East Riding of Yorkshire, East Coast Pipeline (field 16)
Age: 344-52 calBCE
mtDNA: U2e2a1a

Sample: I22060 (Male)
Location: England, East Riding of Yorkshire, East Coast Pipeline (field 9)
Age: 343-1 calBCE
Y-DNA: R-BY154824
mtDNA: H4a1a3a

Sample: I0527 (Female)
Location: England, East Riding of Yorkshire, East Riding, North Ferriby, Melton Quarry
Age: 400-100 BCE
mtDNA: U2e1

Sample: I0525 (Female)
Location: England, East Riding of Yorkshire, Melton
Age: 100 BCE – 50 CE
mtDNA: U2e1e

Sample: I7629 (Male)
Location: England, East Riding of Yorkshire, North Ferriby, Melton Quarry
Age: 1201-933 calBCE
Y-DNA: R-DF13
mtDNA: H17

Sample: I5503 (Female)
Location: England, East Riding of Yorkshire, Nunburnholme Wold
Age: 334-42 calBCE
mtDNA: U5b1c2

Sample: I5502 (Male)
Location: England, East Riding of Yorkshire, Nunburnholme Wold
Age: 196-4 calBCE
Y-DNA: R-FT96564
mtDNA: H3

Sample: I11033 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 717-395 calBCE
mtDNA: H2a3b

Sample: I14100 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 409-229 calBCE
Y-DNA: R-DF13
mtDNA: J1c9

Sample: I12412 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 387-205 calBCE
mtDNA: K1c1a

Sample: I5507 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 387-206 calBCE
mtDNA: H2a3b

Sample: I5506 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 358-111 calBCE
mtDNA: K1c1a

Sample: I5504 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: T1a1

Sample: I5505 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-L21
mtDNA: V16

Sample: I14103 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: H53

Sample: I5510 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: K1c1a

Sample: I13755 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: H2a3b

Sample: I5509 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-PH4760
mtDNA: K1c1a

Sample: I13758 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-L2
mtDNA: H2a3b

Sample: I14107 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-CTS6919
mtDNA: K1c1a

Sample: I13760 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-DF13
mtDNA: H2a3b

Sample: I13751 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: H2a3b

Sample: I13754 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-P312
mtDNA: U5b2b3

Sample: I13757 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: T2c1d1a

Sample: I13756 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: K1c1a

Sample: I13753 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-Z251
mtDNA: H2a3b

Sample: I14099 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: H2a3b

Sample: I14101 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: H2a3b

Sample: I14105 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-P312
mtDNA: H2a3b

Sample: I14102 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-FT84170
mtDNA: K1c1a

Sample: I14108 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: V2a

Sample: I14104 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-DF13
mtDNA: H

Sample: I13759 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-BY3865
mtDNA: H2a3b

Sample: I11034 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: H2a3b

Sample: I12411 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: H2a3b

Sample: I12415 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: J1c9

Sample: I12413 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-BY50764
mtDNA: H2a3b

Sample: I12414 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
mtDNA: H2a3b

Sample: I5508 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-BY11863
mtDNA: J1c9

Sample: I5511 (Male)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 400-50 BCE
Y-DNA: R-DF63
mtDNA: J1c9

Sample: I13752 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 346-53 calBCE
mtDNA: J1c9

Sample: I14106 (Female)
Location: England, East Riding of Yorkshire, Pocklington (Burnby Lane)
Age: 176 calBCE – 6 calCE
mtDNA: K1c1a

Sample: I18606 (Male)
Location: England, East Riding of Yorkshire, Thornholme, East Coast Pipeline (field 10)
Age: 1919-1742 calBCE
Y-DNA: R-DF13
mtDNA: K1b1a1

Sample: I19220 (Female)
Location: England, East Riding of Yorkshire, Thornholme, East Coast Pipeline (field 10)
Age: 1894-1695 calBCE
mtDNA: H3g1

Sample: I14326 (Female)
Location: England, East Riding of Yorkshire, Thornholme, East Coast Pipeline (field 13)
Age: 3074-2892 calBCE
mtDNA: H1c

Sample: I22056 (Female)
Location: England, East Riding of Yorkshire, Thornholme, East Coast Pipeline (field 16)
Age: 391-201 calBCE
mtDNA: H4a1a3a

Sample: I22055 (Female)
Location: England, East Riding of Yorkshire, Thornholme, East Coast Pipeline (field 16)
Age: 391-201 calBCE
mtDNA: K1b1a1c1

Sample: I14327 (Male)
Location: England, East Riding of Yorkshire, Thornholme, East Coast Pipeline (field 16)
Age: 340-47 calBCE
Y-DNA: R-BY41416
mtDNA: H5

Sample: I22064 (Female)
Location: England, East Riding of Yorkshire, Thornholme, East Coast Pipeline (field 16)
Age: 105 calBCE – 64 calCE
mtDNA: H4a1a3a

Sample: I22057 (Female)
Location: England, East Riding of Yorkshire, Thornholme, East Coast Pipeline (field 16)
Age: 104 calBCE – 65 calCE
mtDNA: H2a1k

Sample: I22062 (Male)
Location: England, East Riding of Yorkshire, Thornholme, Town Pasture
Age: 50 calBCE – 116 calCE
Y-DNA: R-BY23382
mtDNA: K1a-T195C!

Sample: I12931 (Male)
Location: England, Gloucestershire, Bishop’s Cleeve, Cleevelands
Age: 50-200 CE
Y-DNA: I-L160
mtDNA: H6a2

Sample: I12927 (Male)
Location: England, Gloucestershire, Bishop’s Cleeve, Cleevelands
Age: 50-200 CE
Y-DNA: R-PR1289
mtDNA: U5b3b1

Sample: I12932 (Female)
Location: England, Gloucestershire, Bishop’s Cleeve, Cleevelands
Age: 50-200 CE
mtDNA: H1bs

Sample: I12791 (Male)
Location: England, Gloucestershire, Bourton-on-the-water, Greystones Farm
Age: 200-1 BCE
Y-DNA: I-BY17900
mtDNA: H1e1a

Sample: I12785 (Male)
Location: England, Gloucestershire, Bourton-on-the-water, Greystones Farm
Age: 200-1 BCE
Y-DNA: R-DF21
mtDNA: J1c1b2

Sample: I12926 (Male)
Location: England, Gloucestershire, Fairford, Saxon Way
Age: 400-100 BCE
Y-DNA: R-L21
mtDNA: H2a2a2

Sample: I21392 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: 3710–3630 calBCE
Y-DNA: I-M284
mtDNA: J2b1a

Sample: I12439 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: N/A
Y-DNA: I-Y3709
mtDNA: K1b1a

Sample: I30304 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: N/A
Y-DNA: I-L1195
mtDNA: K1b1a

Sample: I13888 (Female)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: N/A
mtDNA: K1b1a

Sample: I21388 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: N/A
Y-DNA: I-Y3709
mtDNA: U8b1b

Sample: I13892 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: 3910–3630 calBCE
Y-DNA: I-Y3709
mtDNA: T2e1

Sample: I30334 (Female)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: N/A
mtDNA: K1a3a1

Sample: I21390 (Female)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: 3950–3630 calBCE
mtDNA: U8b1b

Sample: I30300 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: N/A
Y-DNA: I-Y3709
mtDNA: N1b1b

Sample: I13899 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North chamber
Age: N/A
Y-DNA: I-Y3712
mtDNA: U3a1

Sample: I13893 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North entrance
Age: 3650–3380 calBCE
Y-DNA: I-Y3709
mtDNA: K1a4

Sample: I13897 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North entrance
Age: 3500–3340 calBCE
Y-DNA: I-Y3712
mtDNA: V

Sample: I13898 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North entrance
Age: 3700–3530 calBCE
Y-DNA: I-Y3709
mtDNA: K1a3a1

Sample: I12437 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, North entrance
Age: 3790–3510 calBCE
Y-DNA: I-Y3709
mtDNA: K1a3a1

Sample: I21389 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber
Age: 3720-3520 calBCE
Y-DNA: I-Y3709
mtDNA: H1

Sample: I30311 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber
Age: N/A
Y-DNA: I-Y3709
mtDNA: U5b1-T16189C!-T16192C!

Sample: I21387 (Female)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber
Age: N/A
mtDNA: K1d

Sample: I12440 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber
Age: N/A
Y-DNA: I-Y3709
mtDNA: K2b1

Sample: I30302 (Female)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber
Age: N/A
mtDNA: K2b1

Sample: I13889 (Female)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber
Age: N/A
mtDNA: K1b1a1d

Sample: I13896 (Female)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber
Age: N/A
mtDNA: J1c1b1

Sample: I21395 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber, south entrance
Age: N/A
Y-DNA: I-Y3709
mtDNA: J1c1b1

Sample: I13891 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber, south passage
Age: N/A
Y-DNA: I-Y3709
mtDNA: U5b1-T16189C!-T16192C!

Sample: I12438 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South chamber, south passage
Age: N/A
Y-DNA: I-L1195
mtDNA: W5

Sample: I30293 (Female)
Location: England, Gloucestershire, Hazleton North Long Cairn, South entrance
Age: N/A
mtDNA: U5b1-T16189C!

Sample: I30332 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South entrance
Age: N/A
Y-DNA: I-CTS616
mtDNA: N/A

Sample: I21385 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South entrance
Age: N/A
Y-DNA: I-FT344600
mtDNA: K1d

Sample: I13895 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South entrance
Age: N/A
Y-DNA: I-Y3709
mtDNA: U8b1b

Sample: I30301 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South entrance
Age: N/A
Y-DNA: I-Y3712
mtDNA: U5a2d

Sample: I20818 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South entrance, south passage
Age: 3970–3640 calBCE
Y-DNA: I-Y3712
mtDNA: J1c1

Sample: I13890 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South passage
Age: N/A
Y-DNA: I-L1193
mtDNA: T2e1

Sample: I21393 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South passage
Age: N/A
Y-DNA: I-L1195
mtDNA: K1b1a

Sample: I20821 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South passage
Age: N/A
Y-DNA: I-Y3709
mtDNA: H5

Sample: I30299 (Male)
Location: England, Gloucestershire, Hazleton North Long Cairn, South passage
Age: N/A
Y-DNA: I-Y3709
mtDNA: K2b1

Sample: I21391 (Female)
Location: England, Gloucestershire, Hazleton North Long Cairn, Uncertain
Age: N/A
mtDNA: K1b1a1

Sample: I12786 (Male)
Location: England, Gloucestershire, Lechlade-on-Thames, Lechlade Memorial Hall/Skate Park
Age: 2289-2052 calBCE
Y-DNA: R-DF13
mtDNA: J1c2

Sample: I12935 (Male)
Location: England, Gloucestershire, Lechlade-on-Thames, Lechlade Memorial Hall/Skate Park
Age: 2200-1900 BCE
Y-DNA: R-DF21
mtDNA: H1ah2

Sample: I12783 (Male)
Location: England, Gloucestershire, Lechlade-on-Thames, Lechlade Memorial Hall/Skate Park
Age: 783-541 calBCE
Y-DNA: R-DF21
mtDNA: J1c5

Sample: I12787 (Female)
Location: England, Gloucestershire, Lechlade-on-Thames, Lechlade Memorial Hall/Skate Park
Age: 539-387 calBCE
mtDNA: H2a2a1

Sample: I13717 (Female)
Location: England, Hampshire, Barton-Stacey Pipeline
Age: 398-208 calBCE
mtDNA: U5a1a1

Sample: I16611 (Male)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 401-208 calBCE
Y-DNA: R-Z16539
mtDNA: H1c

Sample: I17261 (Male)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 372-175 calBCE
Y-DNA: R-DF63
mtDNA: R0a

Sample: I20987 (Male)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 450-1 BCE
Y-DNA: R-DF63
mtDNA: U5b2b3

Sample: I20985 (Female)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 450-1 BCE
mtDNA: U4a3a

Sample: I17262 (Female)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 357-57 calBCE
mtDNA: T2b

Sample: I20983 (Female)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 450-1 BCE
mtDNA: H3b-G16129A!

Sample: I20986 (Female)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 450-1 BCE
mtDNA: HV0-T195C!

Sample: I20982 (Male)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 450-1 BCE
Y-DNA: R-L20
mtDNA: J1c3

Sample: I20984 (Female)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 450-1 BCE
mtDNA: H1j6

Sample: I16609 (Male)
Location: England, Hampshire, Middle Wallop, Suddern Farm
Age: 341-46 calBCE
mtDNA: J1c2e

Sample: I16612 (Female)
Location: England, Hampshire, Nether Wallop, Danebury
Age: 658-397 calBCE
mtDNA: H3

Sample: I17267 (Female)
Location: England, Hampshire, Nether Wallop, Danebury
Age: 450-100 BCE
mtDNA: V

Sample: I20988 (Male)
Location: England, Hampshire, Nether Wallop, Danebury
Age: 450-100 BCE
Y-DNA: I-Y3713
mtDNA: T2b19

Sample: I17264 (Male)
Location: England, Hampshire, Nether Wallop, Danebury
Age: 450-100 BCE
Y-DNA: R-BY4297
mtDNA: U2e1f1

Sample: I20990 (Female)
Location: England, Hampshire, Nether Wallop, Danebury
Age: 362-171 calBCE
mtDNA: J1c1b1a

Sample: I17266 (Female)
Location: England, Hampshire, Nether Wallop, Danebury
Age: 355-60 calBCE
mtDNA: U5b1b1-T16192C!

Sample: I20989 (Male)
Location: England, Hampshire, Nether Wallop, Danebury
Age: 354-59 calBCE
Y-DNA: R-P312
mtDNA: K1c1

Sample: I16613 (Male)
Location: England, Hampshire, Nether Wallop, Danebury
Age: 351-54 calBCE
mtDNA: J1b1a1

Sample: I17263 (Female)
Location: England, Hampshire, Nether Wallop, Danebury
Age: 346-52 calBCE
mtDNA: J1c1c

Sample: I17260 (Male)
Location: England, Hampshire, Stockbridge, New Buildings
Age: 800-400 BCE
Y-DNA: R-S1051
mtDNA: U5a1a2a

Sample: I17259 (Male)
Location: England, Hampshire, Stockbridge, New Buildings
Age: 725-400 calBCE
Y-DNA: I-S16030
mtDNA: H5a1

Sample: I17258 (Female)
Location: England, Hampshire, Stockbridge, New Buildings
Age: 542-396 calBCE
mtDNA: K1a2

Sample: I19042 (Female)
Location: England, Hampshire, Winnall Down
Age: 715-48 calBCE
mtDNA: T2b33

Sample: I19043 (Female)
Location: England, Hampshire, Winnall Down
Age: 400-100 BCE
mtDNA: J1c1

Sample: I19037 (Female)
Location: England, Hampshire, Winnall Down
Age: 400-100 BCE
mtDNA: J1b1a1b

Sample: I19040 (Female)
Location: England, Hampshire, Winnall Down
Age: 400-100 BCE
mtDNA: H1m

Sample: I14742 (Male)
Location: England, Kent, Cliffs End Farm
Age: 1011-860 calBCE
Y-DNA: R-P312
mtDNA: H1-T16189C!

Sample: I14377 (Female)
Location: England, Kent, Cliffs End Farm
Age: 1014-836 calBCE
mtDNA: U5b1b1d

Sample: I14864 (Female)
Location: England, Kent, Cliffs End Farm
Age: 983-816 calBCE
mtDNA: T2b

Sample: I14862 (Female)
Location: England, Kent, Cliffs End Farm
Age: 982-812 calBCE
mtDNA: H1

Sample: I14865 (Female)
Location: England, Kent, Cliffs End Farm
Age: 967-811 calBCE
mtDNA: H

Sample: I14861 (Male)
Location: England, Kent, Cliffs End Farm
Age: 912-808 calBCE
Y-DNA: R-FGC23071
mtDNA: V

Sample: I14358 (Male)
Location: England, Kent, Cliffs End Farm
Age: 912-807 calBCE
Y-DNA: R-L21
mtDNA: H3

Sample: I14379 (Female)
Location: England, Kent, Cliffs End Farm
Age: 903-807 calBCE
mtDNA: T2c1d-T152C!

Sample: I14745 (Female)
Location: England, Kent, Cliffs End Farm
Age: 900-798 calBCE
mtDNA: X2b

Sample: I14743 (Male)
Location: England, Kent, Cliffs End Farm
Age: 779-524 calBCE
Y-DNA: R-L151
mtDNA: I4a

Sample: I14381 (Female)
Location: England, Kent, Cliffs End Farm
Age: 727-400 calBCE
mtDNA: U5b2b1a1

Sample: I14857 (Female)
Location: England, Kent, Cliffs End Farm
Age: 719-384 calBCE
mtDNA: H3an

Sample: I14747 (Female)
Location: England, Kent, Cliffs End Farm
Age: 514-391 calBCE
mtDNA: H3

Sample: I14378 (Female)
Location: England, Kent, Cliffs End Farm
Age: 400-208 calBCE
mtDNA: I2

Sample: I14858 (Female)
Location: England, Kent, Cliffs End Farm
Age: 396-207 calBCE
mtDNA: J1c1

Sample: I14380 (Male)
Location: England, Kent, Cliffs End Farm
Age: 387-203 calBCE
Y-DNA: R-FTB53005
mtDNA: T2e1

Sample: I14860 (Female)
Location: England, Kent, Cliffs End Farm
Age: 386-198 calBCE
mtDNA: X2b-T226C

Sample: I14859 (Male)
Location: England, Kent, Cliffs End Farm
Age: 377-203 calBCE
Y-DNA: R-P312
mtDNA: H7d3

Sample: I14866 (Male)
Location: England, Kent, Cliffs End Farm
Age: 372-197 calBCE
Y-DNA: I-BY152642
mtDNA: H1at1

Sample: I14863 (Female)
Location: England, Kent, Cliffs End Farm
Age: 360-201 calBCE
mtDNA: U5b1b1-T16192C!

Sample: I13714 (Male)
Location: England, Kent, East Kent Access Road
Age: 1533-1417 calBCE
Y-DNA: R-CTS6919
mtDNA: H1c8

Sample: I19915 (Female)
Location: England, Kent, East Kent Access Road
Age: 1519-1422 calBCE
mtDNA: K1c1

Sample: I19913 (Female)
Location: England, Kent, East Kent Access Road
Age: 1408-1226 calBCE
mtDNA: J1c2e

Sample: I13710 (Male)
Location: England, Kent, East Kent Access Road
Age: 1411-1203 calBCE
Y-DNA: R-DF63
mtDNA: I4a

Sample: I13711 (Male)
Location: England, Kent, East Kent Access Road
Age: 1048-920 calBCE
Y-DNA: R-BY28644
mtDNA: H61

Sample: I13712 (Male)
Location: England, Kent, East Kent Access Road
Age: 1011-916 calBCE
Y-DNA: R-DF13
mtDNA: U5b2b3a

Sample: I13713 (Male)
Location: England, Kent, East Kent Access Road
Age: 1055-837 calBCE
Y-DNA: R-L21
mtDNA: H1c

Sample: I19872 (Female)
Location: England, Kent, East Kent Access Road
Age: 403-209 calBCE
mtDNA: H13a1a1

Sample: I13732 (Male)
Location: England, Kent, East Kent Access Road
Age: 401-208 calBCE
Y-DNA: R-A7835
mtDNA: U5b2c1

Sample: I19873 (Male)
Location: England, Kent, East Kent Access Road
Age: 400-200 BCE
Y-DNA: R-BY3616
mtDNA: U5b2b

Sample: I13615 (Male)
Location: England, Kent, East Kent Access Road
Age: 400-200 BCE
Y-DNA: R-DF13
mtDNA: H1c

Sample: I19907 (Female)
Location: England, Kent, East Kent Access Road
Age: 400-200 BCE
mtDNA: U2e1a1

Sample: I19910 (Female)
Location: England, Kent, East Kent Access Road
Age: 400-200 BCE
mtDNA: U4a2

Sample: I19911 (Male)
Location: England, Kent, East Kent Access Road
Age: 400-200 BCE
Y-DNA: R-DF13
mtDNA: K1a4a1

Sample: I19874 (Female)
Location: England, Kent, East Kent Access Road
Age: 400-200 BCE
mtDNA: H1ax

Sample: I19908 (Female)
Location: England, Kent, East Kent Access Road
Age: 400-200 BCE
mtDNA: K2b1a

Sample: I13731 (Male)
Location: England, Kent, East Kent Access Road
Age: 393-206 calBCE
Y-DNA: R-DF13
mtDNA: U5a1a1g

Sample: I13730 (Male)
Location: England, Kent, East Kent Access Road
Age: 390-202 calBCE
Y-DNA: R-S5668
mtDNA: H1bb

Sample: I19914 (Female)
Location: England, Kent, East Kent Access Road
Age: 387-200 calBCE
mtDNA: H3g1

Sample: I19909 (Male)
Location: England, Kent, East Kent Access Road
Age: 381-197 calBCE
Y-DNA: R-BY9003
mtDNA: T1a1-C152T!!

Sample: I19912 (Female)
Location: England, Kent, East Kent Access Road
Age: 368-173 calBCE
mtDNA: H1bs

Sample: I13616 (Female)
Location: England, Kent, East Kent Access Road
Age: 356-49 calBCE
mtDNA: H1b1-T16362C

Sample: I19870 (Female)
Location: England, Kent, East Kent Access Road
Age: 200-1 BCE
mtDNA: T1a1

Sample: I19869 (Female)
Location: England, Kent, East Kent Access Road
Age: 175 calBCE – 8 calCE
mtDNA: T1a1

Sample: I1774 (Male)
Location: England, Kent, Isle of Sheppey, Neats Court
Age: 1879-1627 calBCE
Y-DNA: R-M269
mtDNA: U4b1a2

Sample: I13716 (Female)
Location: England, Kent, Margetts Pit
Age: 1391-1129 calBCE
mtDNA: H11a

Sample: I13617 (Female)
Location: England, Kent, Margetts Pit
Age: 1214-1052 calBCE
mtDNA: H

Sample: I18599 (Female)
Location: England, Kent, Sittingbourne, Highsted
Age: 43 calBCE – 110 calCE
mtDNA: H

Sample: I3083 (Male)
Location: England, London, River Thames, Putney Foreshore
Age: 387-201 calBCE
Y-DNA: R-P310
mtDNA: R

Sample: I16463 (Male)
Location: England, North Yorkshire, Cockerham, Elbolton Cave
Age: 4000-3500 BCE
Y-DNA: I-L1195
mtDNA: H4a1a2

Sample: I16403 (Male)
Location: England, North Yorkshire, Cockerham, Elbolton Cave
Age: 1600-1350 BCE
Y-DNA: R-DF13
mtDNA: K2a

Sample: I16394 (Male)
Location: England, North Yorkshire, Grassington, 3 Barrow Sites
Age: 2400-1600 BCE
Y-DNA: R-P297
mtDNA: K1c1

Sample: I16395 (Female)
Location: England, North Yorkshire, Grassington, 3 Barrow Sites
Age: 2400-1600 BCE
mtDNA: U5b1

Sample: I16396 (Female)
Location: England, North Yorkshire, Grassington, 3 Barrow Sites
Age: 2400-1600 BCE
mtDNA: K1a4a1

Sample: I16400 (Male)
Location: England, North Yorkshire, Grassington, 3 Barrow Sites
Age: 2400-1500 BCE
Y-DNA: R-Z290
mtDNA: U3a1

Sample: I3035 (Male)
Location: England, North Yorkshire, Ingleborough Hill, Fox Holes Cave
Age: 4000-3500 BCE
Y-DNA: R-A7208
mtDNA: H5a1

Sample: I12936 (Female)
Location: England, North Yorkshire, Raven Scar Cave
Age: 1090-900 BCE
mtDNA: J1c5f

Sample: I16469 (Male)
Location: England, North Yorkshire, Raven Scar Cave
Age: 1090-900 BCE
Y-DNA: R-P312
mtDNA: H3-T152C!

Sample: I16467 (Male)
Location: England, North Yorkshire, Raven Scar Cave
Age: 1090-900 BCE
Y-DNA: R-M269
mtDNA: U5a1g1

Sample: I16459 (Unknown sex)
Location: England, North Yorkshire, Raven Scar Cave
Age: 1090-900 BCE
mtDNA: H

Sample: I19587 (Male)
Location: England, North Yorkshire, Scorton Quarry
Age: 195 calBCE – 7 calCE
Y-DNA: G-L140
mtDNA: K2a

Sample: I14097 (Male)
Location: England, North Yorkshire, Scorton Quarry
Age: 162 calBCE – 26 calCE
Y-DNA: R-P310
mtDNA: H66a1

Sample: I14096 (Male)
Location: England, North Yorkshire, Scorton Quarry
Age: 101 calBCE – 59 calCE
Y-DNA: R-FTA11009
mtDNA: H4a1a2a

Sample: I20583 (Male)
Location: England, Oxfordshire, Stanton Harcourt, Gravelly Guy
Age: 387-201 calBCE
Y-DNA: R-BY175423
mtDNA: K1a4a1

Sample: I20582 (Female)
Location: England, Oxfordshire, Stanton Harcourt, Gravelly Guy
Age: 368-165 calBCE
mtDNA: H10

Sample: I21272 (Male)
Location: England, Oxfordshire, Stanton Harcourt, Gravelly Guy
Age: 400-100 BCE
Y-DNA: R-S5488
mtDNA: V

Sample: I21276 (Female)
Location: England, Oxfordshire, Stanton Harcourt, Gravelly Guy
Age: 400-100 BCE
mtDNA: K1a4a1

Sample: I21277 (Male)
Location: England, Oxfordshire, Stanton Harcourt, Gravelly Guy
Age: 400-100 BCE
Y-DNA: R-DF13
mtDNA: K1a4a1

Sample: I21274 (Female)
Location: England, Oxfordshire, Stanton Harcourt, Gravelly Guy
Age: 400-100 BCE
mtDNA: K1a4a1

Sample: I21275 (Female)
Location: England, Oxfordshire, Stanton Harcourt, Gravelly Guy
Age: 400-100 BCE
mtDNA: K1a4a1

Sample: I21271 (Female)
Location: England, Oxfordshire, Stanton Harcourt, Gravelly Guy
Age: 400-100 BCE
mtDNA: W1c

Sample: I20584 (Female)
Location: England, Oxfordshire, Stanton Harcourt, Gravelly Guy
Age: 355-54 calBCE
mtDNA: K1a4a1

Sample: I14808 (Female)
Location: England, Oxfordshire, Thame
Age: 401-209 calBCE
mtDNA: H1

Sample: I14802 (Female)
Location: England, Oxfordshire, Thame
Age: 393-206 calBCE
mtDNA: X2d

Sample: I14807 (Male)
Location: England, Oxfordshire, Thame
Age: 391-204 calBCE
Y-DNA: R-DF49
mtDNA: T1a1

Sample: I14804 (Female)
Location: England, Oxfordshire, Thame
Age: 387-201 calBCE
mtDNA: H1o

Sample: I14806 (Female)
Location: England, Oxfordshire, Thame
Age: 386-198 calBCE
mtDNA: H1bb

Sample: I14800 (Male)
Location: England, Oxfordshire, Thame
Age: 382-197 calBCE
Y-DNA: R-Z253
mtDNA: J2b1

Sample: I14803 (Male)
Location: England, Oxfordshire, Thame
Age: 370-175 calBCE
Y-DNA: R-P312
mtDNA: H2a1

Sample: I14801 (Female)
Location: England, Oxfordshire, Thame
Age: 362-163 calBCE
mtDNA: X2b-T226C

Sample: I14809 (Male)
Location: England, Oxfordshire, Thame
Age: 358-108 calBCE
Y-DNA: R-P312
mtDNA: V7

Sample: I2446 (Female)
Location: England, Oxfordshire, Yarnton
Age: 2454-2139 calBCE
mtDNA: K1b1a1

Sample: I2448 (Male)
Location: England, Oxfordshire, Yarnton
Age: 1500-1000 BCE
Y-DNA: R-DF63
mtDNA: U8a2

Sample: I20585 (Female)
Location: England, Oxfordshire, Yarnton
Age: 800-400 BCE
mtDNA: K1c1

Sample: I21180 (Male)
Location: England, Oxfordshire, Yarnton
Age: 396-209 calBCE
Y-DNA: R-DF13
mtDNA: H7a1

Sample: I19209 (Male)
Location: England, Oxfordshire, Yarnton
Age: 400-200 BCE
mtDNA: H

Sample: I19211 (Male)
Location: England, Oxfordshire, Yarnton
Age: 400-200 BCE
Y-DNA: R-L21
mtDNA: H1

Sample: I20589 (Male)
Location: England, Oxfordshire, Yarnton
Age: 400-200 BCE
Y-DNA: R-Z52
mtDNA: V

Sample: I20586 (Male)
Location: England, Oxfordshire, Yarnton
Age: 400-200 BCE
Y-DNA: R-L21
mtDNA: J2b1a

Sample: I21178 (Female)
Location: England, Oxfordshire, Yarnton
Age: 400-200 BCE
mtDNA: T2b3-C151T

Sample: I21182 (Male)
Location: England, Oxfordshire, Yarnton
Age: 400-200 BCE
Y-DNA: R-BY15941
mtDNA: J1c2

Sample: I21181 (Male)
Location: England, Oxfordshire, Yarnton
Age: 400-200 BCE
Y-DNA: R-DF13
mtDNA: H3

Sample: I20587 (Male)
Location: England, Oxfordshire, Yarnton
Age: 389-208 calBCE
Y-DNA: R-DF63
mtDNA: K1a2a

Sample: I19207 (Male)
Location: England, Oxfordshire, Yarnton
Age: 382-205 calBCE
Y-DNA: R-M269
mtDNA: H

Sample: I21179 (Female)
Location: England, Oxfordshire, Yarnton
Age: 381-201 calBCE
mtDNA: T2b

Sample: I20588 (Male)
Location: England, Oxfordshire, Yarnton
Age: 366-197 calBCE
Y-DNA: G-BY27899
mtDNA: V

Sample: I19210 (Female)
Location: England, Oxfordshire, Yarnton
Age: 355-118 calBCE
mtDNA: H1cg

Sample: I3019 (Male)
Location: England, Somerset, Cheddar, Totty Pot
Age: 4000-2400 BCE
Y-DNA: R-P310
mtDNA: H4a1a-T195C!

Sample: I16591 (Male)
Location: England, Somerset, Christon, Dibbles Farm
Age: 408-232 calBCE
Y-DNA: R-Z290
mtDNA: H13a1a1

Sample: I11148 (Female)
Location: England, Somerset, Christon, Dibbles Farm
Age: 407-211 calBCE
mtDNA: U6d1

Sample: I13685 (Female)
Location: England, Somerset, Christon, Dibbles Farm
Age: 400-208 calBCE
mtDNA: U5a1b1e

Sample: I11147 (Female)
Location: England, Somerset, Christon, Dibbles Farm
Age: 392-204 calBCE
mtDNA: U5a1b1e

Sample: I16592 (Male)
Location: England, Somerset, Christon, Dibbles Farm
Age: 387-199 calBCE
Y-DNA: R-FGC19329
mtDNA: U5a1b1e

Sample: I17014 (Male)
Location: England, Somerset, Christon, Dibbles Farm
Age: 381-179 calBCE
Y-DNA: R-DF63
mtDNA: U5b1b1d

Sample: I17015 (Female)
Location: England, Somerset, Christon, Dibbles Farm
Age: 380-197 calBCE
mtDNA: H2a2a1

Sample: I17016 (Male)
Location: England, Somerset, Christon, Dibbles Farm
Age: 377-178 calBCE
Y-DNA: R-BY3231
mtDNA: U2e1a1

Sample: I17017 (Female)
Location: England, Somerset, Christon, Dibbles Farm
Age: 196 calBCE – 5 calCE
mtDNA: U5b1-T16189C!

Sample: I19653 (Male)
Location: England, Somerset, Ham Hill
Age: 400-200 BCE
Y-DNA: R-L151
mtDNA: H1n6

Sample: I19856 (Female)
Location: England, Somerset, Ham Hill
Age: 400-200 BCE
mtDNA: R2’JT

Sample: I19654 (Female)
Location: England, Somerset, Ham Hill
Age: 400-200 BCE
mtDNA: H1c3a

Sample: I19652 (Female)
Location: England, Somerset, Ham Hill
Age: 395-205 calBCE
mtDNA: J1c2a2

Sample: I19656 (Male)
Location: England, Somerset, Ham Hill
Age: 387-198 calBCE
Y-DNA: R-DF13
mtDNA: H5’36

Sample: I16593 (Female)
Location: England, Somerset, Ham Hill
Age: 382-197 calBCE
mtDNA: H7b

Sample: I13680 (Male)
Location: England, Somerset, Ham Hill
Age: 366-176 calBCE
Y-DNA: R-L21
mtDNA: U5a2a1

Sample: I19655 (Female)
Location: England, Somerset, Ham Hill
Age: 400-100 BCE
mtDNA: H1c3a

Sample: I19855 (Male)
Location: England, Somerset, Ham Hill
Age: 400-100 BCE
Y-DNA: R-L21
mtDNA: H1ak1

Sample: I19854 (Female)
Location: England, Somerset, Ham Hill
Age: 400-100 BCE
mtDNA: J1c2a2

Sample: I11993 (Female)
Location: England, Somerset, Ham Hill
Age: 400-100 BCE
mtDNA: J1c2a2

Sample: I11994 (Female)
Location: England, Somerset, Ham Hill
Age: 400-100 BCE
mtDNA: U5a2c3a

Sample: I19657 (Female)
Location: England, Somerset, Ham Hill
Age: 356-59 calBCE
mtDNA: H5s

Sample: I21315 (Male)
Location: England, Somerset, Ham Hill
Age: 173 calBCE – 5 calCE
Y-DNA: R-M269
mtDNA: T1a1’3

Sample: I13684 (Female)
Location: England, Somerset, Meare Lake Village West
Age: 541-391 calBCE
mtDNA: W1-T119C

Sample: I11146 (Male)
Location: England, Somerset, Meare Lake Village West
Age: 400-200 BCE
Y-DNA: R-P310
mtDNA: J1c1c

Sample: I13682 (Male)
Location: England, Somerset, Mells Down, Kingsdown Camp
Age: 793-544 calBCE
Y-DNA: R-BY168376
mtDNA: H5a1

Sample: I6748 (Male)
Location: England, Somerset, Mendip, Hay Wood Cave
Age: 3956-3769 calBCE
mtDNA: H

Sample: I11145 (Male)
Location: England, Somerset, North Perrott, North Perrott Manor
Age: 166 calBCE – 14 calCE
Y-DNA: R-Z251
mtDNA: H1q

Sample: I11144 (Male)
Location: England, Somerset, North Perrott, North Perrott Manor
Age: 149 calBCE – 65 calCE
Y-DNA: R-A9857
mtDNA: H5’36

Sample: I5365 (Female)
Location: England, Somerset, Priddy
Age: 103 calBCE – 107 calCE
mtDNA: U5a1b1e

Sample: I11995 (Female)
Location: England, Somerset, South Cadbury, Cadbury Castle
Age: 742-399 calBCE
mtDNA: H2a5

Sample: I21303 (Female)
Location: England, Somerset, South Cadbury, Cadbury Castle
Age: 153 calBCE – 25 calCE
mtDNA: H2a5

Sample: I21302 (Male)
Location: England, Somerset, South Cadbury, Cadbury Castle
Age: 46 calBCE – 117 calCE
Y-DNA: R-DF13
mtDNA: K1a-T195C!

Sample: I6776 (Male)
Location: England, Somerset, Storgoursey, Wick Barrow
Age: 2400-2000 BCE
Y-DNA: R-P312
mtDNA: R

Sample: I21306 (Male)
Location: England, Somerset, Tickenham, Diamond Cottage
Age: 2200-1400 BCE
Y-DNA: R-BY31082
mtDNA: H1an1

Sample: I21305 (Male)
Location: England, Somerset, Weston-super-Mare, Grove Park Road
Age: 800 BCE – 100 CE
Y-DNA: R-DF13
mtDNA: H1

Sample: I16596 (Male)
Location: England, Somerset, Worlebury
Age: 400-50 BCE
mtDNA: H3b-G16129A!

Sample: I13681 (Male)
Location: England, Somerset, Worlebury
Age: 400-50 BCE
mtDNA: H3b-G16129A!

Sample: I11143 (Male)
Location: England, Somerset, Worlebury
Age: 352-53 calBCE
Y-DNA: R-FT5780
mtDNA: H3b-G16129A!

Sample: I13726 (Male)
Location: England, Somerset, Worlebury
Age: 351-52 calBCE
Y-DNA: R-BY23964
mtDNA: H13a1a1

Sample: I11991 (Male)
Location: England, Somerset, Worlebury
Age: 349-50 calBCE
Y-DNA: R-DF13
mtDNA: H3b-G16129A!

Sample: I11992 (Male)
Location: England, Somerset, Worlebury
Age: 343-50 calBCE
Y-DNA: R-DF13
mtDNA: H3b-G16129A!

Sample: I11142 (Male)
Location: England, Somerset, Worlebury
Age: 197-44 calBCE
Y-DNA: R-PR1289
mtDNA: H3b-G16129A!

Sample: I16619 (Male)
Location: England, Sussex, Brighton, Bevendean
Age: 361-106 calBCE
mtDNA: H49

Sample: I16617 (Female)
Location: England, Sussex, Brighton, Black Rock
Age: 777-516 calBCE
mtDNA: H4a1a1a

Sample: I16615 (Female)
Location: England, Sussex, Brighton, Coldean Lane, Varley Hall
Age: 1259-912 calBCE
mtDNA: K1c1

Sample: I14543 (Female)
Location: England, Sussex, Brighton, Ditchling Road
Age: 2450-1600 BCE
mtDNA: K1a4a1g

Sample: I16616 (Female)
Location: England, Sussex, Brighton, Mile Oak
Age: 1410-1227 calBCE
mtDNA: H13a1a1

Sample: I14552 (Male)
Location: England, Sussex, Brighton, Moulsecoomb
Age: 92 calBCE – 110 calCE
Y-DNA: R-P312
mtDNA: J1c2

Sample: I14553 (Male)
Location: England, Sussex, Brighton, Roedean Crescent
Age: 1954-1749 calBCE
Y-DNA: R-S15808
mtDNA: H5c

Sample: I14551 (Female)
Location: England, Sussex, Brighton, Slonk Hill
Age: 514-234 calBCE
mtDNA: H6a1a

Sample: I7632 (Male)
Location: England, Sussex, Brighton, Slonk Hill
Age: 391-203 calBCE
Y-DNA: R-CTS4528
mtDNA: H1

Sample: I14550 (Female)
Location: England, Sussex, Brighton, Slonk Hill
Age: 700 BCE – 900 CE
mtDNA: H3-T152C!

Sample: I16618 (Female)
Location: England, Sussex, Brighton, Surrendon Road
Age: 787-544 calBCE
mtDNA: K1a4

Sample: I14549 (Female)
Location: England, Sussex, Brighton, Woodingdean
Age: 401-208 calBCE
mtDNA: H1

Sample: I27379 (Male)
Location: England, Sussex, North Bersted
Age: 174-51 calBCE
Y-DNA: R-FGC56332
mtDNA: H7d

Sample: I27380 (Male)
Location: England, Sussex, Westbourne, ‘Racton Man’
Age: 2453-2146 cal BCE
Y-DNA: R-Z290
mtDNA: H3k1

Sample: I2611 (Male)
Location: England, Tyne and Wear, Blaydon, Summerhill
Age: 3092-2905 calBCE
Y-DNA: R-L21
mtDNA: U5a2d1

Sample: I14837 (Female)
Location: England, West Yorkshire, Dalton Parlours
Age: 381 calBCE – 6 calCE
mtDNA: K1a4a1c

Sample: I14347 (Male)
Location: England, West Yorkshire, Wattle Syke
Age: 371-176 calBCE
Y-DNA: R-DF23
mtDNA: K2a

Sample: I14348 (Female)
Location: England, West Yorkshire, Wattle Syke
Age: 368-173 calBCE
mtDNA: U3a1c

Sample: I14353 (Male)
Location: England, West Yorkshire, Wattle Syke
Age: 349-51 calBCE
Y-DNA: R-L21
mtDNA: U5b2a1a1

Sample: I14352 (Female)
Location: England, West Yorkshire, Wattle Syke
Age: 193-6 calBCE
mtDNA: K2a

Sample: I14351 (Female)
Location: England, West Yorkshire, Wattle Syke
Age: 193-6 calBCE
mtDNA: K2a

Sample: I14359 (Male)
Location: England, West Yorkshire, Wattle Syke
Age: 200 BCE – 100 CE
mtDNA: J1c1

Sample: I14360 (Female)
Location: England, West Yorkshire, Wattle Syke
Age: 151 calBCE – 62 calCE
mtDNA: J1c1

Sample: I14200 (Male)
Location: England, Wiltshire, Amesbury Down
Age: 2470-2239 calBCE
Y-DNA: R-L151
mtDNA: K1b1a

Sample: I2565 (Male)
Location: England, Wiltshire, Amesbury Down
Age: 2456-2146 calBCE
Y-DNA: R-L21
mtDNA: W1-T119C

Sample: I2419 (Female)
Location: England, Wiltshire, Amesbury Down
Age: 2393-2144 calBCE
mtDNA: H1

Sample: I2598 (Male)
Location: England, Wiltshire, Amesbury Down
Age: 2139-1950 calBCE
Y-DNA: R-P310
mtDNA: H

Sample: I19287 (Female)
Location: England, Wiltshire, Amesbury Down
Age: 761-422 calBCE
mtDNA: K1b1a

Sample: I16602 (Female)
Location: England, Wiltshire, Amesbury Down
Age: 734-403 calBCE
mtDNA: H1aq

Sample: I16600 (Male)
Location: England, Wiltshire, Amesbury Down
Age: 713-381 calBCE
Y-DNA: R-P310
mtDNA: T2b1

Sample: I16599 (Male)
Location: England, Wiltshire, Amesbury Down
Age: 411-208 calBCE
Y-DNA: R-DF13
mtDNA: T2b1

Sample: I16601 (Female)
Location: England, Wiltshire, Amesbury Down
Age: 343-43 calBCE
mtDNA: H17

Sample: I21309 (Male)
Location: England, Wiltshire, Battlesbury Bowl
Age: 354-57 calBCE
Y-DNA: R-FGC33840
mtDNA: X2b-T226C

Sample: I21307 (Male)
Location: England, Wiltshire, Battlesbury Bowl
Age: 346-52 calBCE
Y-DNA: R-P310
mtDNA: H7d

Sample: I21310 (Female)
Location: England, Wiltshire, Battlesbury Bowl
Age: 386 calBCE – 58 calCE
mtDNA: U4c1

Sample: I21311 (Female)
Location: England, Wiltshire, Battlesbury Bowl
Age: 336-49 calBCE
mtDNA: H16-T152C!

Sample: I21308 (Male)
Location: England, Wiltshire, Battlesbury Bowl
Age: 356 calBCE – 110 calCE
Y-DNA: R-P312
mtDNA: J1c1b

Sample: I21313 (Male)
Location: England, Wiltshire, Casterley Camp
Age: 354-57 calBCE
Y-DNA: R-P312
mtDNA: H3g

Sample: I21312 (Male)
Location: England, Wiltshire, Casterley Camp
Age: 343-51 calBCE
Y-DNA: R-BY129194
mtDNA: J1b1a1

Sample: I21314 (Female)
Location: England, Wiltshire, Casterley Camp
Age: 342-51 calBCE
mtDNA: V23

Sample: I16595 (Female)
Location: England, Wiltshire, Longbridge Deverill, Cow Down
Age: 387-204 calBCE
mtDNA: T2b9

Sample: I12608 (Female)
Location: England, Wiltshire, Potterne, Blackberry Field
Age: 1055-904 calBCE
mtDNA: H3ap

Sample: I12614 (Female)
Location: England, Wiltshire, Potterne, Blackberry Field
Age: 1100-800 BCE
mtDNA: K1a1b1

Sample: I12612 (Female)
Location: England, Wiltshire, Potterne, Blackberry Field
Age: 1100-800 BCE
mtDNA: U1a1a

Sample: I12611 (Female)
Location: England, Wiltshire, Potterne, Blackberry Field
Age: 1100-800 BCE
mtDNA: I2

Sample: I12613 (Female)
Location: England, Wiltshire, Potterne, Blackberry Field
Age: 1100-800 BCE
mtDNA: H1

Sample: I12624 (Female)
Location: England, Wiltshire, Potterne, Blackberry Field
Age: 900-800 BCE
mtDNA: H3

Sample: I12610 (Male)
Location: England, Wiltshire, Potterne, Blackberry Field
Age: 765-489 calBCE
Y-DNA: R-M269
mtDNA: J1c1

Sample: I19858 (Male)
Location: England, Wiltshire, Rowbarrow
Age: 1532-1431 calBCE
Y-DNA: R-Z290
mtDNA: J2b1a

Sample: I19857 (Male)
Location: England, Wiltshire, Rowbarrow
Age: 1518-1425 calBCE
Y-DNA: R-L617
mtDNA: J2b1a

Sample: I19859 (Male)
Location: England, Wiltshire, Rowbarrow
Age: 1504-1403 calBCE
Y-DNA: I-S2497
mtDNA: H3

Sample: I19860 (Female)
Location: England, Wiltshire, Rowbarrow
Age: 1503-1401 calBCE
mtDNA: T2b21

Sample: I19867 (Female)
Location: England, Wiltshire, Rowbarrow
Age: 780-541 calBCE
mtDNA: H3-T16311C!

Sample: I19861 (Female)
Location: England, Wiltshire, Rowbarrow
Age: 779-541 calBCE
mtDNA: U2e2a1c

Sample: I13688 (Female)
Location: England, Wiltshire, Rowbarrow
Age: 775-516 calBCE
mtDNA: H1-C16239T

Sample: I19868 (Male)
Location: England, Wiltshire, Rowbarrow
Age: 771-476 calBCE
Y-DNA: R-DF13
mtDNA: T2e1a

Sample: I19862 (Female)
Location: England, Wiltshire, Rowbarrow
Age: 767-423 calBCE
mtDNA: H5a1f

Sample: I13689 (Male)
Location: England, Wiltshire, Rowbarrow
Age: 753-411 calBCE
Y-DNA: R-BY4297
mtDNA: K1a3a

Sample: I13690 (Male)
Location: England, Wiltshire, Rowbarrow
Age: 750-408 calBCE
mtDNA: H1b3

Sample: I19863 (Male)
Location: England, Wiltshire, Rowbarrow
Age: 460-382 calBCE
Y-DNA: R-DF13
mtDNA: N1a1a1a2

Sample: I4949 (Male)
Location: England, Wiltshire, Winterbourne Monkton, North Millbarrow
Age: 3624-3376 calBCE
Y-DNA: I-M284
mtDNA: T2b

Sample: I8582 (Female)
Location: Isle of Man, Rushen, Strandhall
Age: 2195-1973 calBCE
mtDNA: H2a1e1

Sample: I12312 (Male)
Location: Scotland, Argyll and Bute, Isle of Ulva, Ulva Cave
Age: 3751-3636 calBCE
Y-DNA: I-P214
mtDNA: K1a-T195C!

Sample: I12314 (Female)
Location: Scotland, Argyll and Bute, Oban, Carding Mill Bay II
Age: 3647-3533 calBCE
mtDNA: T2b

Sample: I12313 (Female)
Location: Scotland, Argyll and Bute, Oban, Carding Mill Bay II
Age: 3700-3350 BCE
mtDNA: T2b

Sample: I12317 (Male)
Location: Scotland, Argyll and Bute, Oban, Carding Mill Bay II
Age: 3629-3377 calBCE
Y-DNA: I-A8742
mtDNA: H5

Sample: I2658 (Male)
Location: Scotland, Argyll and Bute, Oban, Macarthur Cave
Age: 4000-3700 BCE
mtDNA: W1-T119C

Sample: I3137 (Male)
Location: Scotland, Argyll and Bute, Oban, Raschoille Cave
Age: 3800-3000 BCE
Y-DNA: I-S2599
mtDNA: HV0-T195C!

Sample: I3139 (Female)
Location: Scotland, Argyll and Bute, Oban, Raschoille Cave
Age: 3800-3000 BCE
mtDNA: H45

Sample: I16498 (Female)
Location: Scotland, East Lothian, Broxmouth
Age: 750-404 calBCE
mtDNA: H2a1

Sample: I2692 (Female)
Location: Scotland, East Lothian, Broxmouth
Age: 727-396 calBCE
mtDNA: H2a1

Sample: I16422 (Male)
Location: Scotland, East Lothian, Broxmouth
Age: 364-121 calBCE
Y-DNA: R-L151
mtDNA: H3-T152C!

Sample: I2695 (Male)
Location: Scotland, East Lothian, Broxmouth
Age: 364-121 calBCE
Y-DNA: R-P312
mtDNA: H2a1

Sample: I2694 (Female)
Location: Scotland, East Lothian, Broxmouth
Age: 361-110 calBCE
mtDNA: H1ak1

Sample: I2696 (Female)
Location: Scotland, East Lothian, Broxmouth
Age: 355-55 calBCE
mtDNA: U5a2b4a

Sample: I16503 (Male)
Location: Scotland, East Lothian, Broxmouth
Age: 349-51 calBCE
Y-DNA: R-Z30597
mtDNA: H1ak1

Sample: I16416 (Male)
Location: Scotland, East Lothian, Broxmouth
Age: 346-51 calBCE
Y-DNA: R-Z30597
mtDNA: H3-T152C!

Sample: I2693 (Male)
Location: Scotland, East Lothian, Broxmouth
Age: 197 calBCE – 1 calCE
Y-DNA: R-P310
mtDNA: H3-T152C!

Sample: I16504 (Male)
Location: Scotland, East Lothian, Broxmouth
Age: 42 calBCE – 116 calCE
Y-DNA: R-DF13
mtDNA: H1as

Sample: I16448 (Female)
Location: Scotland, East Lothian, Innerwick, Thurston Mains
Age: 2337-2138 calBCE
mtDNA: K1b1a1

Sample: I5471 (Female)
Location: Scotland, East Lothian, Innerwick, Thurston Mains
Age: 2269-1985 calBCE
mtDNA: H1c3a

Sample: I2413 (Female)
Location: Scotland, East Lothian, Innerwick, Thurston Mains
Age: 2114-1900 calBCE
mtDNA: H1a1

Sample: I16499 (Male)
Location: Scotland, East Lothian, North Berwick, Law Road
Age: 337-43 calBCE
Y-DNA: R-ZP18
mtDNA: I2a

Sample: I16495 (Female)
Location: Scotland, East Lothian, North Berwick, Law Road
Age: 196 calBCE – 3 calCE
mtDNA: H6a1a8

Sample: I16418 (Male)
Location: Scotland, East Lothian, North Berwick, Law Road
Age: 97 calBCE – 107 calCE
Y-DNA: I-L1195
mtDNA: U5a1d2a

Sample: I16413 (Female)
Location: Scotland, East Lothian, North Berwick, Law Road
Age: 44 calBCE – 117 calCE
mtDNA: H6a1a8

Sample: I2569 (Male)
Location: Scotland, Eweford Cottages
Age: 2140-1901 calBCE
Y-DNA: R-P312
mtDNA: K1a3a

Sample: I3567 (Male)
Location: Scotland, Highland, Applecross
Age: 173 calBCE – 8 calCE
Y-DNA: R-FT221759
mtDNA: J1c3b

Sample: I3566 (Male)
Location: Scotland, Highland, Applecross
Age: 170 calBCE – 10 calCE
Y-DNA: R-L21
mtDNA: H13a1a

Sample: I3568 (Male)
Location: Scotland, Highland, Applecross
Age: 42 calBCE – 119 calCE
Y-DNA: R-A277
mtDNA: H7a1

Sample: I19286 (Male)
Location: Scotland, Highland, Embo
Age: 3331-3022 calBCE
Y-DNA: I-M170
mtDNA: J1c1

Sample: I2824 (Male)
Location: Scotland, Isle of Harris, Northton
Age: 41 calBCE – 121 calCE
Y-DNA: R-M269
mtDNA: H13a1a

Sample: I2656 (Male)
Location: Scotland, Longniddry, Grainfoot
Age: 1283-940 calBCE
Y-DNA: R-P312
mtDNA: H2a2a2

Sample: I2983 (Female)
Location: Scotland, Orkney, Bu
Age: 399-207 calBCE
mtDNA: U2e2a1c

Sample: I2982 (Male)
Location: Scotland, Orkney, Bu
Age: 395-207 calBCE
Y-DNA: R-Z16400
mtDNA: H7a1

Sample: I2799 (Male)
Location: Scotland, Orkney, Howe of Howe
Age: 152 calBCE – 22 calCE
Y-DNA: R-DF49
mtDNA: H1

Sample: I2629 (Male)
Location: Scotland, Orkney, Isbister
Age: 3350-2350 BCE
Y-DNA: I-L161
mtDNA: J1c1b

Sample: I2796 (Male)
Location: Scotland, Orkney, Point of Cott
Age: 3706-3536 calBCE
Y-DNA: I-FGC7113
mtDNA: H3

Sample: I5474 (Female)
Location: Scotland, Scottish Borders, Cumledge (Auchencraw Park)
Age: 151 calBCE – 77 calCE
mtDNA: K1a26

Sample: I2699 (Male)
Location: Scotland, South Uist, Hornish Point
Age: 159 calBCE – 26 calCE
mtDNA: V10

Sample: I16412 (Male)
Location: Scotland, Stirling, Coneypark Cairn (Cist 1)
Age: 2134-2056 calBCE
Y-DNA: I-CTS616
mtDNA: R

Sample: I27384 (Male)
Location: Scotland, West Lothian, House of Binns
Age: 90 calBCE – 110 calCE
Y-DNA: R-L21
mtDNA: H2a2a1g

Sample: I27385 (Male)
Location: Scotland, West Lothian, House of Binns
Age: 43 calBCE – 117 calCE
Y-DNA: R-L1066
mtDNA: T2b19

Sample: I16475 (Male)
Location: Wales, Clwyd, Dinorben
Age: 550-1 BCE
Y-DNA: R-P312
mtDNA: X2b

Sample: I16514 (Female)
Location: Wales, Clwyd, Dinorben
Age: 550-1 BCE
mtDNA: HV0

Sample: I16410 (Female)
Location: Wales, Clwyd, Dinorben
Age: 550-1 BCE
mtDNA: T2b

Sample: I16479 (Unknown sex)
Location: Wales, Conwy, Llandudno, Little Ormes Head, Ogof Rhiwledyn
Age: 1500-1100 BCE
mtDNA: H

Sample: I16491 (Male)
Location: Wales, Denbighshire, Llanferres, Orchid Cave
Age: 2876-2680 calBCE
Y-DNA: I-L1195
mtDNA: U5b2b

Sample: I6771 (Female)
Location: Wales, Glamorgan, Llantwit Major, Llanmaes
Age: 169 calBCE – 2 calCE
mtDNA: U4b1a

Sample: I16471 (Female)
Location: Wales, Glamorgan, Llantwit Major, Llanmaes
Age: 200 BCE – 50 CE
mtDNA: H2a

Sample: I16405 (Male)
Location: Wales, Glamorgan, RAF St Athan
Age: 397-205 calBCE
Y-DNA: R-DF13
mtDNA: K1a-T195C!

Sample: I5440 (Male)
Location: Wales, Glamorgan, St. Fagan’s
Age: 1500-1322 calBCE
Y-DNA: R-L151
mtDNA: K1c1

Sample: I2574 (Female)
Location: Wales, North Wales, Llandudno, Great Orme
Age: 1417-1226 calBCE
mtDNA: U5a1a2b

Sample: I16476 (Female)
Location: Wales, West Glamorgan, Gower Peninsula, Port Eynon, Culver Hole Cave
Age: 1600-1200 BCE
mtDNA: H24

Sample: I16488 (Male)
Location: Wales, West Glamorgan, Gower Peninsula, Port Eynon, Culver Hole Cave
Age: 1201-1015 calBCE
Y-DNA: R-L21
mtDNA: U5a1b1

_____________________________________________________________

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2021 Favorite Articles

It’s that time of the year again when we welcome the next year.

2021 was markedly different than anything that came before. (Is that ever an understatement!)

Maybe you had more time for genealogy and spent time researching!

So, what did we read in 2021? Which of my blog articles were the most popular?

In reverse order, beginning with number 10, we have:

This timeless article published in 2015 explains how to calculate the amount of any specific heritage you carry based on your ancestors.

Just something fun that’s like your regular pedigree chart, except color coded locations instead of ancestors. Here’s mine

The Autosegment Triangulation Cluster Tool is a brand new tool introduced in October 2021. Created by Genetic Affairs for GEDmatch, this tool combines autoclusters and triangulation.

Many people don’t realize that we actually don’t inherit exactly 25% of our DNA from each grandparent, nor why.

This enlightening article co-authored with statistician Philip Gammon explains how this works, and why it affects all of your matches.

Who doesn’t love learning about ancient DNA and the messages it conveys. Does your Y or mitochondrial DNA match any of these burials? Take a look. You might be surprised.

How can you tell if you are full or half siblings with another person? You might think this is a really straightforward question with an easy answer, but it isn’t. And trust me, if you EVER find yourself in a position of needing to know, you really need to know urgently.

Using simple match, it’s easy to figure how much of your ancestor’s DNA you “should” have, but that’s now how inheritance actually works. This article explains why and shows different inheritance scenarios.

That 28 day timer has expired, but the article can still be useful in terms of educating yourself. This should also be read in conjunction with Ancestry Retreats, by Judy Russell.

If I had a dollar for every time I’ve heard someone say that their ethnicity percentages were “wrong,” I’d be a rich woman, living in a villa in sun-drenched Tuscany😊

This extremely popular article has either been first or second every year since it was published. Ethnicity is both exciting and perplexing.

As genealogists, the first thing we need to do is to calculate what, according to our genealogy, we would expect those percentages to be. Of course, we also need to factor in the fact that we don’t inherit exactly the same amount of DNA from each grandparent. I explain how I calculated my “expected” percentages of ethnicity based on my known tree. That’s the best place to start.

Please note that I am no longer updating the vendor comparison charts in the article. Some vendors no longer release updates to the entire database at the same time, and some “tweak” results periodically without making an announcement. You’ll need to compare your own results at the different vendors at the same point in time to avoid comparing apples and oranges.

The #1 Article for 2021 is…

  1. Proving Native American Ancestry Using DNA

This article has either been first (7 times) or second (twice) for 9 years running. Now you know why I chose this topic for my new book, DNA for Native American Genealogy.

If you’re searching for your Native American ancestry, I’ve provided step-by-step instructions, both with and without some percentage of Native showing in your autosomal DNA percentages.

Make 2022 a Great Year!

Here’s wishing you the best in 2022. I hope your brick walls cave. What are you doing to help that along? Do you have a strategy in mind?

__________________________________________________________

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Help Out, Please

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

Thank you so much.

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DNA for Native American Genealogy – Hot Off the Press!

Drum roll please…my new book, DNA for Native American Genealogy, was just released today, published by Genealogical.com.

I’m so excited! I expected publication around the holidays. What a pleasant surprise.

This 190-page book has been a labor of love, almost a year in the making. There’s a lot.

  • Vendor Tools – The book incorporates information about how to make the best use of the autosomal DNA tools offered by all 4 of the major testing vendors; FamilyTreeDNA, MyHeritage, Ancestry, and 23andMe.
  • Chromosome Painting – I’ve detailed how to use DNAPainter to identify which ancestor(s) your Native heritage descends from by painting your population/ethnicity segments provided by FamilyTreeDNA and 23andMe.
  • Y and Mitochondrial DNA – I’ve described how and when to utilize the important Y and mitochondrial DNA tests, for you and other family members.
  • Maps – Everyone wants to know about ancient DNA. I’ve included ancient DNA information complete with maps of ancient DNA sites by major Native haplogroups, gathered from many academic papers, as well as mapped contemporary DNA locations.
  • Haplogroups – Locations in the Americas, by haplogroup, where individual haplogroups and subgroups are found. Some haplogroups are regional in nature. If you happen to have one of these haplogroups, that’s a BIG HINT about where your ancestor lived.
  • Tribes – Want to know, by tribe, which haplogroups have been identified? Got you covered there too.
  • Checklist – I’ve provided a checklist type of roadmap for you to follow, along with an extensive glossary.
  • Questions – I’ve answered lots of frequently asked questions. For example – what about joining a tribe? I’ve explained how tribes work in the US and Canada, complete with links for relevant forms and further information.

But wait, there’s more…

New Revelations!!!

There is scientific evidence suggesting that two haplogroups not previously identified as Native are actually found in very low frequencies in the Native population. Not only do I describe these haplogroups, but I provide their locations on a map.

I hope other people will test and come forward with similar results in these same haplogroups to further solidify this finding.

It’s important to understand the criteria required for including these haplogroups as (potentially) Native. In general, they:

  • Must be found multiple times outside of a family group
  • Must be unexplained by any other scenario
  • Must be well-documented both genetically as well as using traditional genealogical records
  • Must be otherwise absent in the surrounding populations

This part of the research for the book was absolutely fascinating to me.

Description

Here’s the book description at Genealogical.com:

DNA for Native American Genealogy is the first book to offer detailed information and advice specifically aimed at family historians interested in fleshing out their Native American family tree through DNA testing.

Figuring out how to incorporate DNA testing into your Native American genealogy research can be difficult and daunting. What types of DNA tests are available, and which vendors offer them? What other tools are available? How is Native American DNA determined or recognized in your DNA? What information about your Native American ancestors can DNA testing uncover? This book addresses those questions and much more.

Included are step-by-step instructions, with illustrations, on how to use DNA testing at the four major DNA testing companies to further your genealogy and confirm or identify your Native American ancestors. Among the many other topics covered are the following:

    • Tribes in the United States and First Nations in Canada
    • Ethnicity
    • Chromosome painting
    • Population Genetics and how ethnicity is assigned
    • Genetic groups and communities
    • Y DNA paternal direct line male testing for you and your family members
    • Mitochondrial DNA maternal direct line testing for you and your family members
    • Autosomal DNA matching and ethnicity comparisons
    • Creating a DNA pedigree chart
    • Native American haplogroups, by region and tribe
    • Ancient and contemporary Native American DNA

Special features include numerous charts and maps; a roadmap and checklist giving you clear instructions on how to proceed; and a glossary to help you decipher the technical language associated with DNA testing.

Purchase the Book and Participate

I’ve included answers to questions that I’ve received repeatedly for many years about Native American heritage and DNA. Why Native DNA might show in your DNA, why it might not – along with alternate ways to seek that information.

You can order DNA for Native American Genealogy, here.

For customers in Canada and outside the US, you can use the Amazon link, here, to reduce the high shipping/customs costs.

I hope you’ll use the information in the book to determine the appropriate tests for your situation and fully utilize the tools available to genealogists today to either confirm those family rumors, put them to rest – or maybe discover a previously unknown Native ancestor.

Please feel free to share this article with anyone who might be interested.

_____________________________________________________________

Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

Thank you so much.

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Genealogy Research

Sitting Bull’s Hair Confirms Relationship With Great-Grandson

Tȟatȟáŋka Íyotake, known as the legendary Lakota warrior and leader, Sitting Bull, was born about 1831 and was killed in 1890. You’ll probably remember him for his victory over Custer and his troops in 1876 at the Battle of Little Big Horn, known as the Battle of Greasy Grass to the Native people and as Custer’s Last Stand colloquially.

By Orlando Scott Goff – Heritage Auctions, Public Domain, https://commons.wikimedia.org/w/index.php?curid=27530348

Pictured here, Sitting Bull was photographed in 1881.

After Sitting Bull’s murder, his scalp lock, a braided length of hair used to hold his feather in place was cut from his body as a souvenir of the grizzly event. In 1896, the scalp lock along with his leggings were donated to and held by the Smithsonian Museum for more than a century before being returned to his family in 2007. Sitting Bull’s great-grandson, Ernie LaPointe, now in his 70s, along with his three sisters are Sitting Bull’s closest living relatives.

The family needed to unquestionably prove a familial connection to be allowed to make decisions about Sitting Bull’s gravesite and remains. Genetic analysis was employed to augment traditional genealogical records. According to Ernie, “over the years, many people have tried to question the relationship that I and my sisters have to Sitting Bull.”

After the return of Sitting Bull’s scalp lock to Ernie LaPointe, Professor Eske Willerslev, one of the pioneers in ancient DNA, contacted Ernie and offered to assist the family by analyzing the hair sample.

By Von Bern – Sitting Bull family portrait, Public Domain, https://commons.wikimedia.org/w/index.php?curid=49894969

Original text from the back of the above image:

“4 generations of Sitting Bull: Sitting Bull, two wives, their daughter, her daughter, her baby” “Copy from Mrs. Edward M. Johnson collection Spiritwood, N. Dak.” Sitting Bull and family 1882 at Ft Randall rear L-R Good Feather Woman (sister), Walks Looking (daughter) front L-R Her Holy Door (mother), Sitting Bull, Many Horses (daughter) with her son, Courting a Woman

LaPointe and his sisters descend from Sitting Bull through their mother, through one of Sitting Bull’s three daughters, so neither Y nor mitochondrial DNA were options to prove that they were the great-grandchildren of Sitting Bull. Generally, neither Y nor mitochondrial DNA establish exact recent relationships, but confirm or disprove lineage relationships.

DNA From Sitting Bull’s Hair

In 2007, obtaining autosomal DNA from hair was virtually impossible, even from contemporary hair, let alone hair that’s more than a century old. However, today, the technology involved has improved. Additionally, it’s also possible that some of the DNA from Sitting Bull’s skin or skin flakes were held within the scalp lock itself.

The fact that the hair had been treated with arsenic for preservation while in the possession of the Smithsonian made DNA analysis even more difficult. Unlike traditional contemporary DNA tests, a full autosomal sequence was not able to be obtained. Small fragments of autosomal DNA from the braid were able to be pieced together well enough to compare to Ernie LaPointe and other Lakota people, showing that Ernie and his family match Sitting Bull’s hair more closely than other Lakota.

The academic paper published by Willerslev, with other researchers and authors including LaPointe provides the following abstract:

Only a small portion of the braid was utilized for the analysis. The rest was burned in a spiritual ceremony. You can read the scientific paper, here.

This analysis of Sitting Bull’s hair opens the door for the remains in the two potential burial sites to be evaluated to see if they match the DNA retrieved from the scalp lock – enabling the family to rebury Sitting Bull in a location of their choice.

You can read additional coverage, here, here, here, and here.

Establishing a Relationship

Sitting Bull’s DNA is considered ancient DNA because it’s not contemporary, and it was degraded. But the definition of ancient needs to be put in context.

Sitting Bull’s “ancient DNA” is not the same thing as “ancient DNA” from thousands of years ago. In part, because we know positively that the DNA from thousands of years ago will not match anyone genealogically today – although it may match people at a population level (or by chance) with small fragments of DNA. We know the identity of Sitting Bull, who, on the other hand, would be expected to match close family members and other more distantly related members of the tribe.

Ernie and his sisters are great-grandchildren of Sitting Bull, so they would be expected to share about 887 cM of DNA in total, ranging from 485 cM to 1486 cM.

In an endogamous population, one could be expected to share even more total DNA, but that additional DNA would likely be in smaller fragments, not contiguous segments.

Great-Grandchildren Matches

For example, two great-grandchildren match their great-grandmother on 902 cM and 751 cM of DNA, respectively, with a longest contiguous block of 130 cM and 72 cM.

Another pair matches a great-grandfather at 1051 cM and 970 cM, with longest blocks of 220 cM and 141 cM.

A person would be expected to share about 12.5% of their autosomal DNA with a given great-grandparent. I wrote about how much we can expect to inherit, on average, from any ancestor, here.

In terms of the types of DNA matches that we are used to for genealogy, a great-grandparent would be one of our closest matches. Other relationships that could share about the same amount of DNA include a great-aunt/uncle/niece or nephew, a half-aunt/uncle/niece or nephew, a first cousin, half first cousin, first cousin once removed, or a great-grandchild.

Courtesy of DNAPainter

Since Sitting Bull’s DNA was extracted from hair, and we know unquestionably where that hair had been since 1896 when it was donated to the Smithsonian, we can eliminate some of those relationships. Furthermore, the genetic analysis supports the genealogical records.

What About Hair, DNA, and Your Genealogy?

I’m sure you’re wondering how this applies to you and your genealogy.

Like so many other people, I have a hair WITH a follicle belonging to my father and letters written by my paternal grandfather in envelopes that I hope he licked to seal. I tried several years ago, at different times, unsuccessfully. to have both of their DNA extracted to use for genealogy. Not only were the endeavors unsuccessful, but those attempts were also VERY expensive.

IT’S NOT SOUP YET!

I know how desperately we want to utilize those items for our genealogy, but the technology still is not ripe yet. Not then and not now. At least, not for regular consumers.

Remember that this extraction took a very specialized ancient DNA lab and many highly skilled individuals. It also took a total of 14 years. The DNA obtained was highly fragmented and had to be reassembled, with lots of pieces still missing. Then it had to be compared to currently living individuals. The ancient DNA autosomal file, like other autosomal forensic files, would NOT pass quality control at any of the DNA processing companies today, where the required QA pass rate is in the ballpark of 98%.

This type of ancient DNA extraction has only been successfully done using autosomal DNA once before, in 2015 on the remains of someone who died in 1916. While Y and mitochondrial DNA has been used to rule out, or *not* rule out direct patrilineal or matrilineal relationships in other burials, highly degraded autosomal DNA is much more difficult to utilize to establish relationships. The relationships must be close in nature so that enough of the genome can be reconstructed to infer a close familial relationship

I realize that more than one company has entered this space over the past several years, and you might also notice that they have either exited said space or are have not achieved any measure of reproducible success. Do NOT chance a valuable irreplaceable sample to any company just yet. This type of processing is not a standard offering – but ongoing research opens the door for more improvement in the future. I still have my fingers crossed.

If you are interested in preserving your items, such as hair, teeth, hairbrushes, electric razors, etc. for future analysis, be sure to keep them in paper, preferably acid-free (archival) paper, NOT plastic, and in a relatively temperature-controlled environment. By that, I mean NOT in the attic and NOT in a humid basement. Someplace in the house, comfortable for regular humans, and not sealed in a ziplock baggie. Don’t touch or handle them either.

Test Older Relatives NOW!

If you can test your oldest relatives, do it now. Grandparents, great-grandparents, aunts, uncles, great-aunts/uncles. All of your oldest family members. Don’t wait.

FamilyTreeDNA performs the test you order and is the only DNA testing company that archives the DNA sample for 25 years. The remaining DNA is available to order upgrades or new products as technology advances.

That’s exactly how and why some younger people have great-grandparent DNA available for matching today, even if their great-grandparents have walked on to the other side and joined Sitting Bull.

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The Origins of Zana of Abkhazia

Recently, Margaryan et al published a paper titled The genomic origin of Zana of Abkhazia.

Margaryan was the lead author on the 2020 paper, the Population genomics of the Viking world. I wrote about that in the article, 442 Ancient Viking Skeletons Hold DNA Surprises – Does Your Y or Mitochondrial DNA Match?

Why are people interested in the origins of Zana? Who was Zana?

Zana

Zana was initially believed to have been a member of a group of Afro-Abkhazian people who lived in the Caucasus in the later 1800s.

Known as the African Caucasians, the Abkhazians of African descent lived in and near the settlement of Adzyubzha on the east coast of the Black Sea.

By Unknown author – livejournal.com, Public Domain, https://commons.wikimedia.org/w/index.php?curid=8701583

This photo of an Afro-Abkhazian family is from “Caucasus. Volume I. The peoples of the Caucasus”, St. Petersburg., Kovalevsky P. I., 1914.

It’s uncertain how this group of African people came to live in this region, but they seem to have arrived when the region was under the rule of the Ottoman Empire in the 1600s, possibly as slaves to work the citrus plantations. In 1927, two Russian men visited the village and met elderly Africans. The Russian men felt that an Ethiopian version of their arrival story was likely accurate since there were several parallels between the names of the villages in Ethiopia and the Afro-Abkhazian villages.

By the 1800s, they spoke only the northwest Caucasian Abkhaz language.

The origins of Zana herself are cloaked in myth. One thing is for certain. Zana was exploited horribly.

How much of the story of Zana’s origins is accurate, and how much was concocted to justify her subsequent treatment is unknown.

The Story

Zana was reportedly living wild and naked in the forest in the Caucasus region. These mountains had long been rumored to hold creatures similar to Bigfoot, called Almasty in Russia.

The story goes that a traveling noble merchant, possibly Edgi Genaba, heard about an apewoman living in the forest and paid the local men to capture this poor creature sometime between 1850 and 1870. The locals forced her into a spike-lined pit.

The nobleman paid the men, named his captive Zana, shackled her, took her home, and enclosed Zana in a cage where she dug a hole in which to sleep. A slightly different version of the story says that Zana was sold from man to man until Genaba bought her.

Zana was apparently covered in thick red hair, powerfully muscular and at 6 feet 6 inches in height, towering over the local residents. When given clothes, she reportedly would shred them.

Genaba charged people who would come and gawk at the naked caged “apewoman” who could not or did not speak.

Zana did not try to escape and eventually, she was granted some reprieve by “only” being chained to a fence.

Eventually, Zana was taught to do chores and in essence, became a servant. She was also provided with alcohol. The local men repeatedly raped Zana while she was drunk.

Zana reportedly had a total of 6 children by unknown local men, although only four can be relatively assured and two proven. Zana apparently took the first two babies to a river to wash them, but the children died. After that, the local women took the following four children away from Zana to protect them since she apparently didn’t understand how to care for an infant.

None of Zana’s children had her thick hair. They all spoke normally and had families. Pictures remain of two of her children, a daughter, Kodzhanar and a son, Khwit. You can see photos of Kodzhanar, Khwit and Khwit’s children, here, in a supplement to the paper.

Zana died after living in captivity for about 20 years, having been taken advantage of, first by Genaba and eventually, by the village men as well.

But Zana’s exploitation didn’t even end there.

Dr. Bryan Sykes, once a respected geneticist, in his later years, became a Bigfoot hunter. After analyzing DNA evidence from Zana’s granddaughter and relatives, along with the remains of her son, Sykes suggested that Zana belonged to a “sub-species of modern humans,” and called her “half human and half ape,” according to a Daily Mail article published in April of 2015. Sykes published a book in 2015, whose title I refuse to print, in which he suggests that Zana’s ancestors exited Africa 100,000 years before and she and her ancestors had, in essence, become a Caucuses Bigfoot – or Almasty in the local vernacular. However, Sykes also states that Zana was 100% African, had genes from west Africa, yet resembled no west African group of people. If you’re scratching your head saying to yourself that those things are contradictory – you’d be right.

Thankfully, Margaryan has now published a respectful academic paper about Zana.

The genomic origin of Zana of Abkhazia

Margaryan paper abstract:

Enigmatic phenomena have sparked the imagination of people around the globe into creating folkloric creatures. One prime example is Zana of Abkhazia (South Caucasus), a well-documented 19th-century female who was captured living wild in the forest. Zana’s appearance was sufficiently unusual, that she was referred to by locals as an Almasty—the analog of Bigfoot in the Caucasus. Although the exact location of Zana’s burial site was unknown, the grave of her son, Khwit, was identified in 1971. The genomes of Khwit and the alleged Zana skeleton were sequenced to an average depth of ca. 3× using ancient DNA techniques. The identical mtDNA and parent-offspring relationship between the two indicated that the unknown woman was indeed Zana. Population genomic analyses demonstrated that Zana’s immediate genetic ancestry can likely be traced to present-day East-African populations. We speculate that Zana might have had a genetic disorder such as congenital generalized hypertrichosis which could partially explain her strange behavior, lack of speech, and long body hair. Our findings elucidate Zana’s unfortunate story and provide a clear example of how prejudices of the time led to notions of cryptic hominids that are still held and transmitted by some today.

Hypertrichosis

Hypertrichosis, also known as “werewolf syndrome” is an extremely rare condition in which an abnormal amount of hair grows on the body. While this condition can develop later in life, it can also be congenital, or present at birth.

In some cases, hair grows all over the body, but in others, only grows in some places.

While Zana’s hair growth suggests hypertrichosis, Zana may have had other challenges as well given that she was nonverbal.

In medieval times, people who suffered from hypertrichosis often lived in courts and functioned as entertainers. In the 19th and 20th centuries, you could find them as performers in circuses and sideshows.

Congenital hypertrichosis, present from birth, can be inherited.

Petrus Gonsalvus, born in 1537 and referred to as “the man of the woods” spent his life in royal courts in Italy and France. He had seven children, four of whom apparently inherited the mutation for this condition from Petrus.

Petrus and his children with excessive hair, two of whom are shown above, were not considered fully human, although their court life allowed them to be well documented.

Petrus married Lady Catherine and their story may have been at least a part of the inspiration for the fairy tale, Beauty and the Beast, published in 1740, 122 years after Petrus’s death.

Zana’s Son, Khwit’s Y DNA

Due to Zana’s circumstances, we have no idea who Khwit’s father was. Khwit and the father himself may have not known either, given how Zana was treated by the local men who raped her. Furthermore, Zana’s children were taken from her and she was non-verbal, so even if she did know, she couldn’t have told her children.

Khwit’s Y DNA provides tantalizing clues.

FamilyTreeDNA’s analysis of Zana’s son, Khwit’s Y chromosome places him in the R-Z2103 subclade of R1b associated with the Yamnaya culture, and more specifically on branch R-Y4364 which has its highest frequency in the Caucasus.

You can see that the flags beside the subgroups above R-FTA50400 are all represented in the Caucasus region; Armenia, Russian Federation, Turkey, and the Palestinian Territory. They also reach into the surrounding areas: Italy, Poland, Greece, Germany, and then beneath Khwit’s branch, we find Scotland represented by subclade R-FTA49702. Khwit and the man from Scotland share 14 variants that branch subclade R-FTA50400 from R-FGCLR459.

Scotland? Well, that’s unexpected.

Looking at the block tree, below, you can see that while the two men are related back in time, it’s distant and they are separated by many private variants.

How long ago did the common ancestor of Khwit and the Scotsman live?

Goran Runfeldt, Head of Research and Development at FamilyTreeDNA, indicated that an early estimate would be that the common ancestor of Khwit’s father and the tester from Scotland would have lived in the Caucasus about 2200 years ago.

He stated that additional Big Y-700 testing is underway and a more definitive MRCA date may be able to be established.

Zana’s Mitochondrial DNA

Of course, Zana’s children all carried her mitochondrial DNA. Her daughters passed Zana’s mitochondrial DNA on to their children as well.

Fortunately, Zana’s mitochondrial DNA helps reassemble the pieces of Zana’s history.

I reached out to Dr. Miguel Vilar, a member of the Million Mito team member in the hope of revealing more of Zana’s puzzle. Dr. Villar is a molecular anthropologist at UMD and former lead scientist for the Genographic Project.

Dr. Vilar offered:

The DNA data and old stories together paint a very sad picture for the historical figure of Zana. The PCA plot of the autosomal DNA suggests she was genetically related to the Dinka pastoralist people from South Sudan, a marginalized group known to be above average in height and body size. Further, Zana’s mtDNA results place her on a basal branch of L2b1b, which geographically would align with an East Central African origin.

The combination of Zana’s height, body size, hair, and (apparent) inability to speak certainly advanced or at least fostered the story of Zana not being human.

Unfortunately, these combined features seemed to justify the non-human treatment of Zana by the local residents, particularly the men.

Contemporary DNA analysis proves Zana was fully human with African origins. She was not admixed with non-African DNA. How she or her family came to the Caucasus, or when, is unknown, but it likely has to do with the Ottoman Empire slave trade that began in the 16th century. The legend of Zana has probably grown and changed with time and retelling.

Ethics

Clearly, Zana’s original situation and later exploitation have been an ethical quagmire.

The authors of the Zana paper perhaps sum this up best:

Following her capture in the forest, Zana was deprived of her basic human rights, and treated as a slave: she was kept in captivity, likely forced to have sexual relations with local men, and worked in forced labor conditions. After she passed away, the accounts on her mythical figure attracted several scientists to unearth her story and her son’s bones were exhumed. Our study intends both to reveal the true human nature of Zana and grant her and her descendants’ remains the dignity they deserve.

Zana’s story isn’t over. Additional testing and analysis are being performed. Based on those findings, if any, we may be able to add another chapter to Zana’s story.

Zana, like everyone else, deserves the truth, even if unraveled and told posthumously. We can’t right the historical wrongs today, but at least we can correct the record.

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Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

Thank you so much.

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Genetic Genealogy at 20 Years: Where Have We Been, Where Are We Going and What’s Important?

Not only have we put 2020 in the rear-view mirror, thankfully, we’re at the 20-year, two-decade milestone. The point at which genetics was first added to the toolbox of genealogists.

It seems both like yesterday and forever ago. And yes, I’ve been here the whole time,  as a spectator, researcher, and active participant.

Let’s put this in perspective. On New Year’s Eve, right at midnight, in 2005, I was able to score kit number 50,000 at Family Tree DNA. I remember this because it seemed like such a bizarre thing to be doing at midnight on New Year’s Eve. But hey, we genealogists are what we are.

I knew that momentous kit number which seemed just HUGE at the time was on the threshold of being sold, because I had inadvertently purchased kit 49,997 a few minutes earlier.

Somehow kit 50,000 seemed like such a huge milestone, a landmark – so I quickly bought kits, 49,998, 49,999, and then…would I get it…YES…kit 50,000. Score!

That meant that in the 5 years FamilyTreeDNA had been in business, they had sold on an average of 10,000 kits per year, or 27 kits a day. Today, that’s a rounding error. Then it was momentous!

In reality, the sales were ramping up quickly, because very few kits were sold in 2000, and roughly 20,000 kits had been sold in 2005 alone. I know this because I purchased kit 28,429 during the holiday sale a year earlier.

Of course, I had no idea who I’d test with that momentous New Year’s Eve Y DNA kit, but I assuredly would find someone. A few months later, I embarked on a road trip to visit an elderly family member with that kit in tow. Thank goodness I did, and they agreed and swabbed on the spot, because they are gone today and with them, the story of the Y line and autosomal DNA of their branch.

In the past two decades, almost an entire generation has slipped away, and with them, an entire genealogical library held in their DNA.

Today, more than 40 million people have tested with the four major DNA testing companies, although we don’t know exactly how many.

Lots of people have had more time to focus on genealogy in 2020, so let’s take a look at what’s important? What’s going on and what matters beyond this month or year?

How has this industry changed in the last two decades, and where it is going?

Reflection

This seems like a good point to reflect a bit.

Professor Dan Bradley reflecting on early genetic research techniques in his lab at the Smurfit Institute of Genetics at Trinity College in Dublin. Photo by Roberta Estes

In the beginning – twenty years ago, there were two companies who stuck their toes in the consumer DNA testing water – Oxford Ancestors and Family Tree DNA. About the same time, Sorenson Genomics and GeneTree were also entering that space, although Sorenson was a nonprofit. Today, of those, only FamilyTreeDNA remains, having adapted with the changing times – adding more products, testing, and sophistication.

Bryan Sykes who founded Oxford Ancestors announced in 2018 that he was retiring to live abroad and subsequently passed away in 2020. The website still exists, but the company has announced that they have ceased sales and the database will remain open until Sept 30, 2021.

James Sorenson died in 2008 and the assets of Sorenson Molecular Genealogy Foundation, including the Sorenson database, were sold to Ancestry in 2012. Eventually, Ancestry removed the public database in 2015.

Ancestry dabbled in Y and mtDNA for a while, too, destroying that database in 2014.

Other companies, too many to remember or mention, have come and gone as well. Some of the various company names have been recycled or purchased, but aren’t the same companies today.

In the DNA space, it was keep up, change, die or be sold. Of course, there was the small matter of being able to sell enough DNA kits to make enough money to stay in business at all. DNA processing equipment and a lab are expensive. Not just the equipment, but also the expertise.

The Next Wave

As time moved forward, new players entered the landscape, comprising the “Big 4” testing companies that constitute the ponds where genealogists fish today.

23andMe was the first to introduce autosomal DNA testing and matching. Their goal and focus was always medical genetics, but they recognized the potential in genealogists before anyone else, and we flocked to purchase tests.

Ancestry settled on autosomal only and relies on the size of their database, a large body of genealogy subscribers, and a widespread “feel-good” marketing campaign to sell DNA kits as the gateway to “discover who you are.”

FamilyTreeDNA did and still does offer all 3 kinds of tests. Over the years, they have enhanced both the Y DNA and mitochondrial product offerings significantly and are still known as “the science company.” They are the only company to offer the full range of Y DNA tests, including their flagship Big Y-700, full sequence mitochondrial testing along with matching for both products. Their autosomal product is called Family Finder.

MyHeritage entered the DNA testing space a few years after the others as the dark horse that few expected to be successful – but they fooled everyone. They have acquired companies and partnered along the way which allowed them to add customers (Promethease) and tools (such as AutoCluster by Genetic Affairs), boosting their number of users. Of course, MyHeritage also offers users a records research subscription service that you can try for free.

In summary:

One of the wonderful things that happened was that some vendors began to accept compatible raw DNA autosomal data transfer files from other vendors. Today, FamilyTreeDNA, MyHeritage, and GEDmatch DO accept transfer files, while Ancestry and 23andMe do not.

The transfers and matching are free, but there are either minimal unlock or subscription plans for advanced features.

There are other testing companies, some with niche markets and others not so reputable. For this article, I’m focusing on the primary DNA testing companies that are useful for genealogy and mainstream companion third-party tools that complement and enhance those services.

The Single Biggest Change

As I look back, the single biggest change is that genetic genealogy evolved from the pariah of genealogy where DNA discussion was banned from the (now defunct) Rootsweb lists and summarily deleted for the first few years after introduction. I know, that’s hard to believe today.

Why, you ask?

Reasons varied from “just because” to “DNA is cheating” and then morphed into “because DNA might do terrible things like, maybe, suggest that a person really wasn’t related to an ancestor in a lineage society.”

Bottom line – fear and misunderstanding. Change is exceedingly difficult for humans, and DNA definitely moved the genealogy cheese.

From that awkward beginning, genetic genealogy organically became a “thing,” a specific application of genealogy. There was paper-trail traditional genealogy and then the genetic aspect. Today, for almost everyone, genealogy is “just another tool” in the genealogist’s toolbox, although it does require focused learning, just like any other tool.

DNA isn’t separate anymore, but is now an integral part of the genealogical whole. Having said that, DNA can’t solve all problems or answer all questions, but neither can traditional paper-trail genealogy. Together, each makes the other stronger and solves mysteries that neither can resolve alone.

Synergy.

I fully believe that we have still only scratched the surface of what’s possible.

Inheritance

As we talk about the various types of DNA testing and tools, here’s a quick graphic to remind you of how the different types of DNA are inherited.

  • Y DNA is inherited paternally for males only and informs us of the direct patrilineal (surname) line.
  • Mitochondrial DNA is inherited by everyone from their mothers and informs us of the mother’s matrilineal (mother’s mother’s mother’s) line.
  • Autosomal DNA can be inherited from potentially any ancestor in random but somewhat predictable amounts through both parents. The further back in time, the less identifiable DNA you’ll inherit from any specific ancestor. I wrote about that, here.

What’s Hot and What’s Not

Where should we be focused today and where is this industry going? What tools and articles popped up in 2020 to help further our genealogy addiction? I already published the most popular articles of 2020, here.

This industry started two decades ago with testing a few Y DNA and mitochondrial DNA markers, and we were utterly thrilled at the time. Both tests have advanced significantly and the prices have dropped like a stone. My first mitochondrial DNA test that tested only 400 locations cost more than $800 – back then.

Y DNA and mitochondrial DNA are still critically important to genetic genealogy. Both play unique roles and provide information that cannot be obtained through autosomal DNA testing. Today, relative to Y DNA and mitochondrial DNA, the biggest challenge, ironically, is educating newer genealogists about their potential who have never heard about anything other than autosomal, often ethnicity, testing.

We have to educate in order to overcome the cacophony of “don’t bother because you don’t get as many matches.”

That’s like saying “don’t use the right size wrench because the last one didn’t fit and it’s a bother to reach into the toolbox.” Not to mention that if everyone tested, there would be a lot more matches, but I digress.

If you don’t use the right tool, and all of the tools at your disposal, you’re not going to get the best result possible.

The genealogical proof standard, the gold standard for genealogy research, calls for “a reasonably exhaustive search,” and if you haven’t at least considered if or how Y
DNA
and mitochondrial DNA along with autosomal testing can or might help, then your search is not yet exhaustive.

I attempt to obtain the Y and mitochondrial DNA of every ancestral line. In the article, Search Techniques for Y and Mitochondrial DNA Test Candidates, I described several methodologies to find appropriate testing candidates.

Y DNA – 20 Years and Still Critically Important

Y DNA tracks the Y chromosome for males via the patrilineal (surname) line, providing matching and historical migration information.

We started 20 years ago testing 10 STR markers. Today, we begin at 37 markers, can upgrade to 67 or 111, but the preferred test is the Big Y which provides results for 700+ STR markers plus results from the entire gold standard region of the Y chromosome in order to provide the most refined results. This allows genealogists to use STR markers and SNP results together for various aspects of genealogy.

I created a Y DNA resource page, here, in order to provide a repository for Y DNA information and updates in one place. I would encourage anyone who can to order or upgrade to the Big Y-700 test which provides critical lineage information in addition to and beyond traditional STR testing. Additionally, the Big Y-700 test helps build the Y DNA haplotree which is growing by leaps and bounds.

More new SNPs are found and named EVERY SINGLE DAY today at FamilyTreeDNA than were named in the first several years combined. The 2006 SNP tree listed a grand total of 459 SNPs that defined the Y DNA tree at that time, according to the ISOGG Y DNA SNP tree. Goran Rundfeldt, head of R&D at FamilyTreeDNA posted this today:

2020 was an awful year in so many ways, but it was an unprecedented year for human paternal phylogenetic tree reconstruction. The FTDNA Haplotree or Great Tree of Mankind now includes:

37,534 branches with 12,696 added since 2019 – 51% growth!
defined by
349,097 SNPs with 131,820 added since 2019 – 61% growth!

In just one year, 207,536 SNPs were discovered and assigned FT SNP names. These SNPs will help define new branches and refine existing ones in the future.

The tree is constructed based on high coverage chromosome Y sequences from:
– More than 52,500 Big Y results
– Almost 4,000 NGS results from present-day anonymous men that participated in academic studies

Plus an additional 3,000 ancient DNA results from archaeological remains, of mixed quality and Y chromosome coverage at FamilyTreeDNA.

Wow, just wow.

These three new articles in 2020 will get you started on your Y DNA journey!

Mitochondrial DNA – Matrilineal Line of Humankind is Being Rewritten

The original Oxford Ancestor’s mitochondrial DNA test tested 400 locations. The original Family Tree DNA test tested around 1000 locations. Today, the full sequence mitochondrial DNA test is standard, testing the entire 16,569 locations of the mitochondria.

Mitochondrial DNA tracks your mother’s direct maternal, or matrilineal line. I’ve created a mitochondrial DNA resource page, here that includes easy step-by-step instructions for after you receive your results.

New articles in 2020 included the introduction of The Million Mito Project. 2021 should see the first results – including a paper currently in the works.

The Million Mito Project is rewriting the haplotree of womankind. The current haplotree has expanded substantially since the first handful of haplogroups thanks to thousands upon thousands of testers, but there is so much more information that can be extracted today.

Y and Mitochondrial Resources

If you don’t know of someone in your family to test for Y DNA or mitochondrial DNA for a specific ancestral line, you can always turn to the Y DNA projects at Family Tree DNA by searching here.

The search provides you with a list of projects available for a specific surname along with how many customers with that surname have tested. Looking at the individual Y DNA projects will show the earliest known ancestor of the surname line.

Another resource, WikiTree lists people who have tested for the Y DNA, mitochondrial DNA and autosomal DNA lines of specific ancestors.

Click on images to enlarge

On the left side, my maternal great-grandmother’s profile card, and on the right, my paternal great-great-grandfather. You can see that someone has tested for the mitochondrial DNA of Nora (OK, so it’s me) and the Y DNA of John Estes (definitely not me.)

MitoYDNA, a nonprofit volunteer organization created a comparison tool to replace Ysearch and Mitosearch when they bit the dust thanks to GDPR.

MitoYDNA accepts uploads from different sources and allows uploaders to not only match to each other, but to view the STR values for Y DNA and the mutation locations for the HVR1 and HVR2 regions of mitochondrial DNA. Mags Gaulden, one of the founders, explains in her article, What sets mitoYDNA apart from other DNA Databases?.

If you’ve tested at nonstandard companies, not realizing that they didn’t provide matching, or if you’ve tested at a company like Sorenson, Ancestry, and now Oxford Ancestors that is going out of business, uploading your results to mitoYDNA is a way to preserve your investment. PS – I still recommend testing at FamilyTreeDNA in order to receive detailed results and compare in their large database.

CentiMorgans – The Word of Two Decades

The world of autosomal DNA turns on the centimorgan (cM) measure. What is a centimorgan, exactly? I wrote about that unit of measure in the article Concepts – CentiMorgans, SNPs and Pickin’ Crab.

Fortunately, new tools and techniques make using cMs much easier. The Shared cM Project was updated this year, and the results incorporated into a wonderfully easy tool used to determine potential relationships at DNAPainter based on the number of shared centiMorgans.

Match quality and potential relationships are determined by the number of shared cMs, and the chromosome browser is the best tool to use for those comparisons.

Chromosome Browser – Genetics Tool to View Chromosome Matches

Chromosome browsers allow testers to view their matching cMs of DNA with other testers positioned on their own chromosomes.

My two cousins’ DNA where they match me on chromosomes 1-4, is shown above in blue and red at Family Tree DNA. It’s important to know where you match cousins, because if you match multiple cousins on the same segment, from the same side of your family (maternal or paternal), that’s suggestive of a common ancestor, with a few caveats.

Some people feel that a chromosome browser is an advanced tool, but I think it’s simply standard fare – kind of like driving a car. You need to learn how to drive initially, but after that, you don’t even think about it – you just get in and go. Here’s help learning how to drive that chromosome browser.

Triangulation – Science Plus Group DNA Matching Confirms Genealogy

The next logical step after learning to use a chromosome browser is triangulation. If fact, you’re seeing triangulation above, but don’t even realize it.

The purpose of genetic genealogy is to gather evidence to “prove” ancestral connections to either people or specific ancestors. In autosomal DNA, triangulation occurs when:

  • You match at least two other people (not close relatives)
  • On the same reasonably sized segment of DNA (generally 7 cM or greater)
  • And you can assign that segment to a common ancestor

The same two cousins are shown above, with triangulated segments bracketed at MyHeritage. I’ve identified the common ancestor with those cousins that those matching DNA segments descend from.

MyHeritage’s triangulation tool confirms by bracketing that these cousins also match each other on the same segment, which is the definition of triangulation.

I’ve written a lot about triangulation recently.

If you’d prefer a video, I recorded a “Top Tips” Facebook LIVE with MyHeritage.

Why is Ancestry missing from this list of triangulation articles? Ancestry does not offer a chromosome browser or segment information. Therefore, you can’t triangulate at Ancestry. You can, however, transfer your Ancestry DNA raw data file to either FamilyTreeDNA, MyHeritage, or GEDmatch, all three of which offer triangulation.

Step by step download/upload transfer instructions are found in this article:

Clustering Matches and Correlating Trees

Based on what we’ve seen over the past few years, we can no longer depend on the major vendors to provide all of the tools that genealogists want and need.

Of course, I would encourage you to stay with mainstream products being used by a significant number of community power users. As with anything, there is always someone out there that’s less than honorable.

2020 saw a lot of innovation and new tools introduced. Maybe that’s one good thing resulting from people being cooped up at home.

Third-party tools are making a huge difference in the world of genetic genealogy. My favorites are Genetic Affairs, their AutoCluster tool shown above, DNAPainter and DNAGedcom.

These articles should get you started with clustering.

If you like video resources, here’s a MyHeritage Facebook LIVE that I recorded about how to use AutoClusters:

I created a compiled resource article for your convenience, here:

I have not tried a newer tool, YourDNAFamily, that focuses only on 23andMe results although the creator has been a member of the genetic genealogy community for a long time.

Painting DNA Makes Chromosome Browsers and Triangulation Easy

DNAPainter takes the next step, providing a repository for all of your painted segments. In other words, DNAPainter is both a solution and a methodology for mass triangulation across all of your chromosomes.

Here’s a small group of people who match me on the same maternal segment of chromosome 1, including those two cousins in the chromosome browser and triangulation sections, above. We know that this segment descends from Philip Jacob Miller and his wife because we’ve been able to identify that couple as the most distant ancestor intersection in all of our trees.

It’s very helpful that DNAPainter has added the functionality of painting all of the maternal and paternal bucketed matches from Family Tree DNA.

All you need to do is to link your known matches to your tree in the proper place at FamilyTreeDNA, then they do the rest by using those DNA matches to indicate which of the rest of your matches are maternal and paternal. Instructions, here. You can then export the file and use it at DNAPainter to paint all of those matches on the correct maternal or paternal chromosomes.

Here’s an article providing all of the DNAPainter Instructions and Resources.

DNA Matches Plus Trees Enhance Genealogy

Of course, utilizing DNA matching plus finding common ancestors in trees is one of the primary purposes of genetic genealogy – right?

Vendors have linked the steps of matching DNA with matching ancestors in trees.

Genetic Affairs take this a step further. If you don’t have an ancestor in your tree, but your matches have common ancestors with each other, Genetic Affairs assembles those trees to provide you with those hints. Of course, that common ancestor might not be relevant to your genealogy, but it just might be too!

click to enlarge

This tree does not include me, but two of my matches descend from a common ancestor and that common ancestor between them might be a clue as to why I match both of them.

Ethnicity Continues to be Popular – But Is No Shortcut to Genealogy

Ethnicity is always popular. People want to “do their DNA” and find out where they come from. I understand. I really do. Who doesn’t just want an answer?

Of course, it’s not that simple, but that doesn’t mean it’s not disappointing to people who test for that purpose with high expectations. Hopefully, ethnicity will pique their curiosity and encourage engagement.

All four major vendors rolled out updated ethnicity results or related tools in 2020.

The future for ethnicity, I believe, will be held in integrated tools that allow us to use ethnicity results for genealogy, including being able to paint our ethnicity on our chromosomes as well as perform segment matching by ethnicity.

For example, if I carry an African segment on chromosome 1 from my father, and I match one person from my mother’s side and one from my father’s side on that same segment – one or the other of those people should also have that segment identified as African. That information would inform me as to which match is paternal and which is maternal

Not only that, this feature would help immensely tracking ancestors back in time and identifying their origins.

Will we ever get there? I don’t know. I’m not sure ethnicity is or can be accurate enough. We’ll see.

Transition to Digital and Online

Sometimes the future drags us kicking and screaming from the present.

With the imposed isolation of 2020, conferences quickly moved to an online presence. The genealogy community has all pulled together to make this work. The joke is that 2020’s most used phrase is “can you hear me?” I can vouch for that.

Of course while the year 2020 is over, the problem isn’t and is extending at least through the first half of 2021 and possibly longer. Conferences are planned months, up to a year, in advance and they can’t turn on a dime, so don’t even begin to expect in-person conferences until either late in 2021 or more likely, 2022 if all goes well this year.

I expect the future will eventually return to in-person conferences, but not entirely.

Finding ways to be more inclusive allows people who don’t want to or can’t travel or join in-person to participate.

I’ve recorded several sessions this year, mostly for 2021. Trust me, these could be a comedy, mostly of errors😊

I participated in four MyHeritage Facebook LIVE sessions in 2020 along with some other amazing speakers. This is what “live” events look like today!

Screenshot courtesy MyHeritage

A few days ago, I asked MyHeritage for a list of their LIVE sessions in 2020 and was shocked to learn that there were more than 90 in English, all free, and you can watch them anytime. Here’s the MyHeritage list.

By the way, every single one of the speakers is a volunteer, so say a big thank you to the speakers who make this possible, and to MyHeritage for the resources to make this free for everyone. If you’ve ever tried to coordinate anything like this, it’s anything but easy.

Additonally, I’ve created two Webinars this year for Legacy Family Tree Webinars.

Geoff Rasmussen put together the list of their top webinars for 2020, and I was pleased to see that I made the top 10! I’m sure there are MANY MORE you’d be interested in watching. Personally, I’m going to watch #6 yet today! Also, #9 and #22. You can always watch new webinars for free for a few days, and you can subscribe to watch all webinars, here.

The 2021 list of webinar speakers has been announced here, and while I’m not allowed to talk about something really fun that’s upcoming, let’s just say you definitely have something to look forward to in the springtime!

Also, don’t forget to register for RootsTech Connect which is entirely online and completely free, February 25-27, here.

Thank you to Penny Walters for creating this lovely graphic.

There are literally hundreds of speakers providing sessions in many languages for viewers around the world. I’ve heard the stats, but we can’t share them yet. Let me just say that you will be SHOCKED at the magnitude and reach of this conference. I’m talking dumbstruck!

During one of our zoom calls, one of the organizers says it feels like we’re constructing the plane as we’re flying, and I can confirm his observation – but we are getting it done – together! All hands on deck.

I’ll be presenting an advanced session about triangulation as well as a mini-session in the FamilySearch DNA Resource Center about finding your mother’s ancestors. I’ll share more information as it’s released and I can.

Companies and Owners Come & Go

You probably didn’t even notice some of these 2020 changes. Aside from the death of Bryan Sykes (RIP Bryan,) the big news and the even bigger unknown is the acquisition of Ancestry by Blackstone. Recently the CEO, Margo Georgiadis announced that she was stepping down. The Ancestry Board of Directors has announced an external search for a new CEO. All I can say is that very high on the priority list should be someone who IS a genealogist and who understands how DNA applies to genealogy.

Other changes included:

In the future, as genealogy and DNA testing becomes ever more popular and even more of a commodity, company sales and acquisitions will become more commonplace.

Some Companies Reduced Services and Cut Staff

I understand this too, but it’s painful. The layoffs occurred before Covid, so they didn’t result from Covid-related sales reductions. Let’s hope we see renewed investment after the Covid mess is over.

In a move that may or may not be related to an attempt to cut costs, Ancestry removed 6 and 7 cM matches from their users, freeing up processing resources, hardware, and storage requirements and thereby reducing costs.

I’m not going to beat this dead horse, because Ancestry is clearly not going to move on this issue, nor on that of the much-requested chromosome browser.

Later in the year, 23andMe also removed matches and other features, although, to their credit, they have restored at least part of this functionality and have provided ethnicity updates to V3 and V4 kits which wasn’t initially planned.

It’s also worth noting that early in 2020, 23andMe laid off 100 people as sales declined. Since that time, 23andMe has increasingly pushed consumers to pay to retest on their V5 chip.

About the same time, Ancestry also cut their workforce by about 6%, or about 100 people, also citing a slowdown in the consumer testing market. Ancestry also added a health product.

I’m not sure if we’ve reached market saturation or are simply seeing a leveling off. I wrote about that in DNA Testing Sales Decline: Reason and Reasons.

Of course, the pandemic economy where many people are either unemployed or insecure about their future isn’t helping.

The various companies need some product diversity to survive downturns. 23andMe is focused on medical research with partners who pay 23andMe for the DNA data of customers who opt-in, as does Ancestry.

Both Ancestry and MyHeritage provide subscription services for genealogy records.

FamilyTreeDNA is part of a larger company, GenebyGene whose genetics labs do processing for other companies and medical facilities.

A huge thank you to both MyHeritage and FamilyTreeDNA for NOT reducing services to customers in 2020.

Scientific Research Still Critical & Pushes Frontiers

Now that DNA testing has become a commodity, it’s easy to lose track of the fact that DNA testing is still a scientific endeavor that requires research to continue to move forward.

I’m still passionate about research after 20 years – maybe even more so now because there’s so much promise.

Research bleeds over into the consumer marketplace where products are improved and new features created allowing us to better track and understand our ancestors through their DNA that we and our family members inherit.

Here are a few of the research articles I published in 2020. You might notice a theme here – ancient DNA. What we can learn now due to new processing techniques is absolutely amazing. Labs can share files and information, providing the ability to “reprocess” the data, not the DNA itself, as more information and expertise becomes available.

Of course, in addition to this research, the Million Mito Project team is hard at work rewriting the tree of womankind.

If you’d like to participate, all you need to do is to either purchase a full sequence mitochondrial DNA kit at FamilyTreeDNA, or upgrade to the full sequence if you tested at a lower level previously.

Predictions

Predictions are risky business, but let me give it a shot.

Looking back a year, Covid wasn’t on the radar.

Looking back 5 years, neither Genetic Affairs nor DNAPainter were yet on the scene. DNAAdoption had just been formed in 2014 and DNAGedcom which was born out of DNAAdoption didn’t yet exist.

In other words, the most popular tools today didn’t exist yet.

GEDmatch, founded in 2010 by genealogists for genealogists was 5 years old, but was sold in December 2019 to Verogen.

We were begging Ancestry for a chromosome browser, and while we’ve pretty much given up beating them, because the horse is dead and they can sell DNA kits through ads focused elsewhere, that doesn’t mean genealogists still don’t need/want chromosome and segment based tools. Why, you’d think that Ancestry really doesn’t want us to break through those brick walls. That would be very bizarre, because every brick wall that falls reveals two more ancestors that need to be researched and spurs a frantic flurry of midnight searching. If you’re laughing right now, you know exactly what I mean!

Of course, if Ancestry provided a chromosome browser, it would cost development money for no additional revenue and their customer service reps would have to be able to support it. So from Ancestry’s perspective, there’s no good reason to provide us with that tool when they can sell kits without it. (Sigh.)

I’m not surprised by the management shift at Ancestry, and I wouldn’t be surprised to see several big players go public in the next decade, if not the next five years.

As companies increase in value, the number of private individuals who could afford to purchase the company decreases quickly, leaving private corporations as the only potential buyers, or becoming publicly held. Sometimes, that’s a good thing because investment dollars are infused into new product development.

What we desperately need, and I predict will happen one way or another is a marriage of individual tools and functions that exist separately today, with a dash of innovation. We need tools that will move beyond confirming existing ancestors – and will be able to identify ancestors through our DNA – out beyond each and every brick wall.

If a tester’s DNA matches to multiple people in a group descended from a particular previously unknown couple, and the timing and geography fits as well, that provides genealogical researchers with the hint they need to begin excavating the traditional records, looking for a connection.

In fact, this is exactly what happened with mitochondrial DNA – twice now. A match and a great deal of digging by one extremely persistent cousin resulting in identifying potential parents for a brick-wall ancestor. Autosomal DNA then confirmed that my DNA matched with 59 other individuals who descend from that couple through multiple children.

BUT, we couldn’t confirm those ancestors using autosomal DNA UNTIL WE HAD THE NAMES of the couple. DNA has the potential to reveal those names!

I wrote about that in Mitochondrial DNA Bulldozes Brick Wall and will be discussing it further in my RootsTech presentation.

The Challenge

We have most of the individual technology pieces today to get this done. Of course, the combined technological solution would require significant computing resources and processing power – just at the same time that vendors are desperately trying to pare costs to a minimum.

Some vendors simply aren’t interested, as I’ve already noted.

However, the winner, other than us genealogists, of course, will be the vendor who can either devise solutions or partner with others to create the right mix of tools that will combine matching, triangulation, and trees of your matches to each other, even if you don’t’ share a common ancestor.

We need to follow the DNA past the current end of the branch of our tree.

Each triangulated segment has an individual history that will lead not just to known ancestors, but to their unknown ancestors as well. We have reached critical mass in terms of how many people have tested – and more success would encourage more and more people to test.

There is a genetic path over every single brick wall in our genealogy.

Yes, I know that’s a bold statement. It’s not future Jetson’s flying-cars stuff. It’s doable – but it’s a matter of commitment, investment money, and finding a way to recoup that investment.

I don’t think it’s possible for the one-time purchase of a $39-$99 DNA test, especially when it’s not a loss-leader for something else like a records or data subscription (MyHeritage and Ancestry) or a medical research partnership (Ancestry and 23andMe.)

We’re performing these analysis processes manually and piecemeal today. It’s extremely inefficient and labor-intensive – which is why it often fails. People give up. And the process is painful, even when it does succeed.

This process has also been made increasingly difficult when some vendors block tools that help genealogists by downloading match and ancestral tree information. Before Ancestry closed access, I was creating theories based on common ancestors in my matches trees that weren’t in mine – then testing those theories both genetically (clusters, AutoTrees and ThruLines) and also by digging into traditional records to search for the genetic connection.

For example, I’m desperate to identify the parents of my James Lee Clarkson/Claxton, so I sorted my spreadsheet by surname and began evaluating everyone who had a Clarkson/Claxton in their tree in the 1700s in Virginia or North Carolina. But I can’t do that anymore now, either with a third-party tool or directly at Ancestry. Twenty million DNA kits sold for a minimum of $79 equals more than 1.5 billion dollars. Obviously, the issue here is not a lack of funds.

Including Y and mitochondrial DNA resources in our genetic toolbox not only confirms accuracy but also provides additional hints and clues.

Sometimes we start with Y DNA or mitochondrial DNA, and wind up using autosomal and sometimes the reverse. These are not competing products. It’s not either/or – it’s *and*.

Personally, I don’t expect the vendors to provide this game-changing complex functionality for free. I would be glad to pay for a subscription for top-of-the-line innovation and tools. In what other industry do consumers expect to pay for an item once and receive constant life-long innovations and upgrades? That doesn’t happen with software, phones nor with automobiles. I want vendors to be profitable so that they can invest in new tools that leverage the power of computing for genealogists to solve currently unsolvable problems.

Every single end-of-line ancestor in your tree represents a brick wall you need to overcome.

If you compare the cost of books, library visits, courthouse trips, and other research endeavors that often produce exactly nothing, these types of genetic tools would be both a godsend and an incredible value.

That’s it.

That’s the challenge, a gauntlet of sorts.

Who’s going to pick it up?

I can’t answer that question, but I can say that 23andMe can’t do this without supporting extensive trees, and Ancestry has shown absolutely no inclination to support segment data. You can’t achieve this goal without segment information or without trees.

Among the current players, that leaves two DNA testing companies and a few top-notch third parties as candidates – although – as the past has proven, the future is uncertain, fluid, and everchanging.

It will be interesting to see what I’m writing at the end of 2025, or maybe even at the end of 2021.

Stay tuned.

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Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

Thank you so much.

DNA Purchases and Free Transfers

Genealogy Products and Services

Genealogy Research

Books

Y DNA Resources and Repository

I’ve created a Y DNA resource page with the information in this article, here, as a permanent location where you can find Y DNA information in one place – including:

  • Step-by-step guides about how to utilize Y DNA for your genealogy
  • Educational articles and links to the latest webinars
  • Articles about the science behind Y DNA
  • Ancient DNA
  • Success stories

Please feel free to share this resource or any of the links to individual articles with friends, genealogy groups, or on social media.

If you haven’t already taken a Y DNA test, and you’re a male (only males have a Y chromosome,) you can order one here. If you also purchase the Family Finder, autosomal test, those results can be used to search together.

What is Y DNA?

Y DNA is passed directly from fathers to their sons, as illustrated by the blue arrow, above. Daughters do not inherit the Y chromosome. The Y chromosome is what makes males, male.

Every son receives a Y chromosome from his father, who received it from his father, and so forth, on up the direct patrilineal line.

Comparatively, mitochondrial DNA, the pink arrow, is received by both sexes of children from the mother through the direct matrilineal line.

Autosomal DNA, the green arrow, is a combination of randomly inherited DNA from many ancestors that is inherited by both sexes of children from both parents. This article explains a bit more.

Y DNA has Unique Properties

The Y chromosome is never admixed with DNA from the mother, so the Y chromosome that the son receives is identical to the father’s Y chromosome except for occasional minor mutations that take place every few generations.

This lack of mixture with the mother’s DNA plus the occasional mutation is what makes the Y chromosome similar enough to match against other men from the same ancestors for hundreds or thousands of years back in time, and different enough to be useful for genealogy. The mutations can be tracked within extended families.

In western cultures, the Y chromosome path of inheritance is usually the same as the surname, which means that the Y chromosome is uniquely positioned to identify the direct biological patrilineal lineage of males.

Two different types of Y DNA tests can be ordered that work together to refine Y DNA results and connect testers to other men with common ancestors.

FamilyTreeDNA provides STR tests with their 37, 67 and 111 marker test panels, and comprehensive STR plus SNP testing with their Big Y-700 test.

click to enlarge

STR markers are used for genealogy matching, while SNP markers work with STR markers to refine genealogy further, plus provide a detailed haplogroup.

Think of a haplogroup as a genetic clan that tells you which genetic family group you belong to – both today and historically, before the advent of surnames.

This article, What is a Haplogroup? explains the basic concept of how haplogroups are determined.

In addition to the Y DNA test itself, Family Tree DNA provides matching to other testers in their database plus a group of comprehensive tools, shown on the dashboard above, to help testers utilize their results to their fullest potential.

You can order or upgrade a Y DNA test, here. If you also purchase the Family Finder, autosomal test, those results can be used to search together.

Step-by-Step – Using Your Y DNA Results

Let’s take a look at all of the features, functions, and tools that are available on your FamilyTreeDNA personal page.

What do those words mean? Here you go!

Come along while I step through evaluating Big Y test results.

Big Y Testing and Results

Why would you want to take a Big Y test and how can it help you?

While the Big Y-500 has been superseded by the Big Y-700 test today, you will still be interested in some of the underlying technology. STR matching still works the same way.

The Big Y-500 provided more than 500 STR markers and the Big Y-700 provides more than 700 – both significantly more than the 111 panel. The only way to receive these additional markers is by purchasing the Big Y test.

I have to tell you – I was skeptical when the Big Y-700 was introduced as the next step above the Big Y-500. I almost didn’t upgrade any kits – but I’m so very glad that I did. I’m not skeptical anymore.

This Y DNA tree rocks. A new visual format with your matches listed on their branches. Take a look!

Educational Articles

I’ve been writing about DNA for years and have selected several articles that you may find useful.

What kinds of information are available if you take a Y DNA test, and how can you use it for genealogy?

What if your father isn’t available to take a DNA test? How can you determine who else to test that will reveal your father’s Y DNA information?

Family Tree DNA shows the difference in the number of mutations between two men as “genetic distance.” Learn what that means and how it’s figured in this article.

Of course, there were changes right after I published the original Genetic Distance article. The only guarantees in life are death, taxes, and that something will change immediately after you publish.

Sometimes when we take DNA tests, or others do, we discover the unexpected. That’s always a possibility. Here’s the story of my brother who wasn’t my biological brother. If you’d like to read more about Dave’s story, type “Dear Dave” into the search box on my blog. Read the articles in publication order, and not without a box of Kleenex.

Often, what surprise matches mean is that you need to dig further.

The words paternal and patrilineal aren’t the same thing. Paternal refers to the paternal half of your family, where patrilineal is the direct father to father line.

Just because you don’t have any surname matches doesn’t necessarily mean it’s because of what you’re thinking.

Short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs) aren’t the same thing and are used differently in genealogy.

Piecing together your ancestor’s Y DNA from descendants.

Haplogroups are something like our pedigree charts.

What does it mean when you have a zero for a marker value?

There’s more than one way to break down that brick wall. Here’s how I figured out which of 4 sons was my ancestor.

Just because you match the right line autosomally doesn’t mean it’s because you descend from the male child you think is your ancestor. Females gave their surnames to children born outside of a legal marriage which can lead to massive confusion. This is absolutely why you need to test the Y DNA of every single ancestral line.

When the direct patrilineal line isn’t the line you’re expecting.

You can now tell by looking at the flags on the haplotree where other people’s ancestral lines on your branch are from. This is especially useful if you’ve taken the Big Y test and can tell you if you’re hunting in the right location.

If you’re just now testing or tested in 2018 or after, you don’t need to read this article unless you’re interested in the improvements to the Big Y test over the years.

2019 was a banner year for discovery. 2020 was even more so, keeping up an amazing pace. I need to write a 2020 update article.

What is a terminal SNP? Hint – it’s not fatal😊

How the TIP calculator works and how to best interpret the results. Note that this tool is due for an update that incorporates more markers and SNP results too.

You can view the location of the Y DNA and mitochondrial DNA ancestors of people whose ethnicity you match.

Tools and Techniques

This free public tree is amazing, showing locations of each haplogroup and totals by haplogroup and country, including downstream branches.

Need to search for and find Y DNA candidates when you don’t know anyone from that line? Here’s how.

Yes, it’s still possible to resolve this issue using autosomal DNA. Non-matching Y DNA isn’t the end of the road, just a fork.

Science Meets Genealogy – Including Ancient DNA

Haplogroup C was an unexpected find in the Americas and reaches into South America.

Haplogroup C is found in several North American tribes.

Haplogroup C is found as far east as Nova Scotia.

Test by test, we made progress.

New testers, new branches. The research continues.

The discovery of haplogroup A00 was truly amazing when it occurred – the base of the phylotree in Africa.

The press release about the discovery of haplogroup A00.

In 2018, a living branch of A00 was discovered in Africa, and in 2020, an ancient DNA branch.

Did you know that haplogroups weren’t always known by their SNP names?

This brought the total of SNPs discovered by Family Tree DNA in mid-2018 to 153,000. I should contact the Research Center to see how many they have named at the end of 2020.

An academic paper split ancient haplogroup D, but then the phylogenetic research team at FamilyTreeDNA split it twice more! This might not sound exciting until you realize this redefines what we know about early man, in Africa and as he emerged from Africa.

Ancient DNA splits haplogroup P after analyzing the remains of two Jehai people from West Malaysia.

For years I doubted Kennewick Man’s DNA would ever be sequenced, but it finally was. Kennewick Man’s mitochondrial DNA haplogroup is X2a and his Y DNA was confirmed to Q-M3 in 2015.

Compare your own DNA to Vikings!

Twenty-seven Icelandic Viking skeletons tell a very interesting story.

Irish ancestors? Check your DNA and see if you match.

Ancestors from Hungary or Italy? Take a look. These remains have matches to people in various places throughout Europe.

The Y DNA story is no place near finished. Dr. Miguel Vilar, former Lead Scientist for National Geographic’s Genographic Project provides additional analysis and adds a theory.

Webinars

Y DNA Webinar at Legacy Family Tree Webinars – a 90-minute webinar for those who prefer watching to learn! It’s not free, but you can subscribe here.

Success Stories and Genealogy Discoveries

Almost everyone has their own Y DNA story of discovery. Because the Y DNA follows the surname line, Y DNA testing often helps push those lines back a generation, or two, or four. When STR markers fail to be enough, we can turn to the Big Y-700 test which provides SNP markers down to the very tip of the leaves in the Y DNA tree. Often, but not always, family-defining SNP branches will occur which are much more stable and reliable than STR mutations – although SNPs and STRs should be used together.

Methodologies to find ancestral lines to test, or maybe descendants who have already tested.

DNA testing reveals an unexpected mystery several hundred years old.

When I write each of my “52 Ancestor” stories, I include genetic information, for the ancestor and their descendants, when I can. Jacob was special because, in addition to being able to identify his autosomal DNA, his Y DNA matches the ancient DNA of the Yamnaya people. You can read about his Y DNA story in Jakob Lenz (1748-1821), Vinedresser.

Please feel free to add your success stories in the comments.

What About You?

You never know what you’re going to discover when you test your Y DNA. If you’re a female, you’ll need to find a male that descends from the line you want to test via all males to take the Y DNA test on your behalf. Of course, if you want to test your father’s line, your father, or a brother through that father, or your uncle, your father’s brother, would be good candidates.

What will you be able to discover? Who will the earliest known ancestor with that same surname be among your matches? Will you be able to break down a long-standing brick wall? You’ll never know if you don’t test.

You can click here to upgrade an existing test or order a Y DNA test.

Share the Love

You can always forward these articles to friends or share by posting links on social media. Who do you know that might be interested?

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Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

Thank you so much.

DNA Purchases and Free Transfers

Genealogy Products and Services

Genealogy Research

Books

New Discoveries Shed Light on Out of Africa Theory, and Beyond

For many years, the accepted out-of-Africa Y DNA tree branches and calibration, meaning when that exit occurred, have focused on the exit of a single African lineage, CT-M168 which then, after leaving Africa, was believed to have split into three distinct branches:

  • C-M130 – exclusively non-African
  • DE-M145
  • FT-M89 – exclusively non-African (became F-M89)

Not long after, DE split into:

  • D-M174 – exclusively non-African
  • E-M96 – largely African

Obviously, if CT-M168 exited Africa and then branched into the other branches after its exit, either some branches had to have migrated back to Africa, or, there was something we didn’t know.

Turns out, there were multiple “somethings” we didn’t know.

D Divides – Thanks to Men in Nigeria

In August 2019, the paper A Rare Deep-Rooting D0 African Y-Chromosomal Haplogroup and Its Implications for the Expansion of Modern Humans Out of Africa was authored by Haber et al.

I wrote about the haplogroup D split in the article Exciting New Y DNA Haplogroup D Discoveries. 

Haber et al Paper

Abstract from the Haber paper:

Present-day humans outside Africa descend mainly from a single expansion out ∼50,000-70,000 years ago, but many details of this expansion remain unclear, including the history of the male-specific Y chromosome at this time. Here, we reinvestigate a rare deep-rooting African Y-chromosomal lineage by sequencing the whole genomes of three Nigerian men described in 2003 as carrying haplogroup DE* Y chromosomes, and analyzing them in the context of a calibrated worldwide Y-chromosomal phylogeny. We confirm that these three chromosomes do represent a deep-rooting DE lineage, branching close to the DE bifurcation, but place them on the D branch as an outgroup to all other known D chromosomes, and designate the new lineage D0. We consider three models for the expansion of Y lineages out of Africa ∼50,000-100,000 years ago, incorporating migration back to Africa where necessary to explain present-day Y-lineage distributions. Considering both the Y-chromosomal phylogenetic structure incorporating the D0 lineage, and published evidence for modern humans outside Africa, the most favored model involves an origin of the DE lineage within Africa with D0 and E remaining there, and migration out of the three lineages (C, D, and FT) that now form the vast majority of non-African Y chromosomes. The exit took place 50,300-81,000 years ago (latest date for FT lineage expansion outside Africa – earliest date for the D/D0 lineage split inside Africa), and most likely 50,300-59,400 years ago (considering Neanderthal admixture). This work resolves a long-running debate about Y-chromosomal out-of-Africa/back-to-Africa migrations, and provides insights into the out-of-Africa expansion more generally.

In 2003, five Nigerian men were sequenced yielding haplogroup DE, but the sequencing technology since that time has improved dramatically. In 2019, those early samples were resequenced by Haber and analyzed in combination with information not available in 2003.

Resequencing yielded a new ancient clade, branching from the DE lineage close to the divergence of the D and E split. The lineage formed by the Nigerian sample was named D0 (D zero) by the authors to avoid needing to rename the downstream branches. It should be noted that the authors used the older letter-number-letter naming method coined as “nomenclature by lineage” from the first YCC paper, rather than the SNP naming method called “Nomenclature by mutation,” aks shorthand – hence their concern about renaming branches. Having said that, typically the base branch names are retained for reference, regardless, and D0 is clearly a base haplogroup.

The Nigerian samples were narrowed from 5 to 3 quality samples. Those three samples had been collected from unrelated men in different villages from different cultures who spoke different languages. Their Y DNA estimated date of convergence, meaning their most recent common ancestor (MRCA,) is about 2500 years ago.

The results of full genome sequencing are far more robust today and the theories about the exit of mankind from Africa are informed by Neanderthal genomic information. All people worldwide have about 2% Neanderthal genome, but African peoples do not – other than the North African region where back-migration has occurred.

This split in the tree increases the early lineages from 4 to 5 with DE now including the following three branches:

  • D0 – exclusively African (became D2-FT75)
  • E – mainly African
  • D – exclusively non-African (became D1-M174)

Out of Africa Theories

The three out of Africa theories proposed by Haber are illustrated below with Figure 2 from their paper. Please note that dates are estimates and different calculation methodologies produce different date ranges.

click to enlarge

Haber et al put forth the above three theories in their paper.

You’ll note that:

  • Option B shows haplogroup CT exiting Africa as was originally believed, but with D0 and E back-migrating, and E-M35 eventually leaving again, with other E haplogroups remaining.
  • Option C shows CT splitting in Africa with C, DE and FT exiting Africa about the same time, with D0 and E back migrating and E-M35 leaving again.
  • Option D shows CT and DE both splitting in Africa, with only C, D and FT exiting out of Africa initially, together, in one single event, with E-M35 following later.

Option D, of the above options, is the most parsimonious model, meaning the fewest amount of complex items needs to occur and is, therefore, most likely to have actually happened. Option D does not include or require any back-migration to occur and accommodates all of the haplogroups found exclusively in Africa along with those found only outside of Africa.

Dr. Miguel Vilar, anthropologist and former Lead Scientist for National Geographic’s Genographic Project provides the following comment about Option D and introduces Option E.

  • Option E – Haplogroup CT splits into two branches CF and DE within Africa, then haplogroups D and E split followed by CF and D leaving Africa. However, this requires C and F to split after D and E have already split, which is not the current calculated sequence of events. This sequence would constitute a new Option E scenario, where haplogroups CF and D (or pre-D1) leave Africa, with E following later.

Neanderthal

It turns out that the sequencing of the Neanderthal genome appears to be the tie-breaker between scenarios B, C, and D.

All non-Africans carry about 2% Neanderthal in their genomes, worldwide. This means that the Neanderthal had to have interbred with the migrants who left Africa before they dispersed widely. They carried that Neanderthal DNA with them as they dispersed throughout the world, indicating that the entire population that existed at that time, shortly after the exit from Africa, and survived, was intermixed between the two populations.

African peoples do not carry Neanderthal admixture. Therefore, had there been back-migration of haplogroups D0 and E, African peoples would also carry some Neanderthal, and they do not which effectively removes the options of B and C.

To date, scenario D, which also includes other archaeological evidence, is the best fit between the three Haber models, plus Dr. Vilar’s Option E. The Haber paper is short and a good read.

Y Haplotree Updates

FamilyTreeDNA included the changes to haplogroup D, incorporating their own findings.

Michael Sager, the phylogeneticist at Family Tree DNA who is responsible for the Y DNA tree gave a great presentation in early 2020 at Genetic Genealogy Ireland, which you can view here.

The latest tree at Family Tree DNA looks like this, with haplogroup D split into Asian and African lineages.

New Haplogroup F Lineages

So where did the haplogroup F lineage go after having left Africa? New discoveries at FamilyTreeDNA provide some clues.

Before the new haplogroup F branches were added, the haplogroup F tree looked like this. There were known basal F lineages, but FamilyTreeDNA did not have any Big Y testers that belonged to those branches of haplogroup F and were not at that time making use of NGS results from academic studies to define tree branches.

Since then, among the thousands of new Big Y test results, a few haplogroup F lineages have been identified.

click to enlarge

The view of the Y DNA tree at FamilyTreeDNA shows the locations of the various test results. Please note that people in the F-M89 haplogroup may simply have not tested beyond that level today, and would benefit from the Big Y test.

The Y tree now includes the new branch F-F15527 (F1) with four immediate subclades with samples from Indonesia, Malaysia, Vietnam, and the southern border of China, as shown on this map.

What Does This Mean???

Goran Runfeldt, the head of Research and Development at Family Tree DNA says:

Finding F1 exclusively in Southeast Asia is significant because it represents the first split of haplogroup F.

Additionally, it gives some clues about where haplogroup F was before it split between F1 and GHIJK, which represents all the haplogroups F through T.

It is also significant that they all belong to different branches, four immediate subclades of F1, dated to circa 48,000 years ago. This shows a rapid expansion where several lineages quickly diverged then and survived for tens of thousands of years until present day. It is very likely that we will discover other ancient lineages in this part of the tree as more people from this part of the world take a high coverage Y-DNA test.

Michael Sager adds:

We have many distinct lineages close to the root of F (F1a, F1b, F1c, F1d, G, H, IJK.) All of these (and more) arose within a couple thousand years. All of these descendants in conjunction provide excellent support for the theory that F was long out of Africa. We did not have that clear support for haplogroup D as we had a ~20ky bottleneck to account for as well as Ds closest relative, E, being in Africa.

I asked Dr. Vilar for his opinion about the expansion of haplogroup F.

The discovery of new F1 lineages in Southeast Asia suggests that there was both a rapid and a broad expansion of paternal lineages across Eurasia some 55,000 years ago. Rapid because we see F lineages in China and Southeast Asia shortly after modern humans leave Africa some 60,000 years ago.

The pattern in haplogroup F is similar to that of its “cousin lineages” in haplogroup C, which likely moved through South Asia to Southeast Asia and even Australia shortly after its exodus from Africa.

Unlike F, haplogroup C is also found in Central Asia and the Americas, so the two paths may not have been exactly the same.

However, the range of F was also broad, since it gave rise to an older son (GHIJK) years earlier, and much further west. GHIJK likely arose in western Asia, where descendants G, H, and IJ were all born in the following millennia.

Acknowledgments

Thank you to the following individuals for their review of and input to this article:

_____________________________________________________________

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Ancient Ireland’s Y and Mitochondrial DNA – Do You Match???

Ancient Ireland – the land of Tara and Knowth and the passage tombs of New Grange. Land of legend, romance, and perchance of King Arthur, or at least some ancient king who became Arthur in legend.

The island of Ireland, today Ireland and Northern Ireland, was a destination location, it seems, the westernmost island in the British Isles, and therefore the western shore of Europe. Anyone who sailed further west had better have weeks of food, water, and a great deal of good luck.

But who settled Ireland, when, and where did they come from? How many times was Ireland settled, and did the new settlers simply mingle with those already in residence, or did they displace the original settlers? Oral history recorded in the most ancient texts speaks of waves of settlement and conquest.

According to two papers, discussed below, which analyze ancient DNA, there were two horizon events that changed life dramatically in Europe, the arrival of agriculture about 3750 BC, or about 5770 years ago, and the arrival of metallurgy about 2300 BC, or 4320 years ago.

The people who lived in Ireland originally are classified as the Mesolithic people, generally referred to as hunter-gatherers. The second wave was known as Neolithic or the people who arrived as farmers. The third wave heralded the arrival of the Bronze Age when humans began to work with metals.

Our answers about Irish settlers come from the skeletons of the people who lived in Ireland at one time and whose bones remain in various types of burials and tombs.

The first remains to be processed with high coverage whole genome sequencing were those of 3 males whose remains were found in a cist burial on volcanic Rathlin Island, located in the channel between Ireland and Scotland.

In 795, Rathlin had the dubious honor of being the first target of Viking raiding and pillaging.

Rathlin Island is but a spit of land, with a total population of about 150 people, 4 miles east to west and 2.5 miles north to south. Conflict on the island didn’t stop there, with the Campbell and McDonald clan, among others, having bloody clashes on this tiny piece of land, with losers being tossed from the cliffs.

The island is believed to have been settled during the Mesolithic period, according to O’Sullivan in Maritime Ireland, An Archaeology of Coastal Communities (2007). The original language of Rathlin was Gaelic. Having been a half-way point between Ireland and Scotland, it’s believed that Rathlin served as an important cog in the Dalriada diaspora with Dalriada people taking their language, through Rathlin, into Scotland from about 300 AD, or 1700 years ago.

The first Irish remains whose DNA was sequenced at the whole genome level are from those three men and a much earlier Neolithic woman.

  • Three men from a cist burial in Rathlin Island, Co. Antrim (2026-1534 BC) with associated food vessel pottery.
  • A Neolithic woman (3343-3030 BC) from Ballynahatty, County, Down, south of Belfast, found in an early megalithic passage-like grave

Megalithic tomb at the centre of the Giant’s Ring in Ballynahatty, Ireland, photo by robertpaulyoung – [1], CC BY 2.0, https://commons.wikimedia.org/w/index.php?curid=3221494

The female is clearly older than the three Rathlin males. According to Cassidy, et al, 2016, she clusters with 5 other Middle Neolithic individuals from Germany, Spain, and Scandinavia, while the males cluster with early Bronze Age genomes from central and northern Europe, reflecting a division between hunter-gatherer and early farmer individuals.

The males reflect genetic components of the Yamnaya, early Bronze Age herders from the Pontic Steppe, along with an equal level of Caucasus admixture.

The threshold between the Neolithic and Bronze Age fell at about 3750 BC in western Europe and Ireland, right between these two burials.

Even Earlier Burials

In 2020, Cassidy et al sequenced another 44 individuals from Irish passage grave burials ranging in age from 4793 to 2910 BC, or about 3000 to 7000 years ago. All of the men are members of haplogroup I, except two who are Y haplogroup H.

The Rathlin males, all haplogroup R1b, combined with evidence provided by later genetic analysis of passage grave remains point decisively towards a population replacement – with haplogroup R males replacing the previous inhabitants of both Europe and the British Isles.

In far western Ireland, haplogroup R and subgroups reach nearly 100% today.

I would encourage you to read the two papers, linked below, along with supplemental information. They are absolutely fascinating and include surprises involving both the history between Ireland and continental Europe, along with the relationships between the people buried at Newgrange.

Not only that, but the oral history regarding an elite sibling relationship involving the sun was passed down through millenia and seems to be corroborated by the genetics revealed today.

The most recent 2020 paper includes extensive archaeological context revolving around passage graves and megalithic tombs. When I visited New Grange in 2017, above, I was told that genetic analysis was underway on remains from several ancient burials.

I’m incredibly grateful that Dr. Dan Bradley’s ancient DNA lab at the Smurfit Institute of Genetics in Dublin, which I was also privileged to visit, was not only working on these historical treasures but that they were successful in obtaining high-quality results for Y DNA, autosomal and mitochondrial.

Dr. Dan Bradley in his ancient DNA lab in Dublin.

Take a look at these fascinating papers and then, see if you match any of the ancient samples.

Papers

Neolithic and Bronze Age migration to Ireland and establishment of the insular Atlantic genome by Cassidy et al 2016

This paper included the Ballynahatty female and the three Rathlin Island males.

Significance

Modern Europe has been shaped by two episodes in prehistory, the advent of agriculture and later metallurgy. These innovations brought not only massive cultural change but also, in certain parts of the continent, a change in genetic structure. The manner in which these transitions affected the islands of Ireland and Britain on the northwestern edge of the continent remains the subject of debate. The first ancient whole genomes from Ireland, including two at high coverage, demonstrate that large-scale genetic shifts accompanied both transitions. We also observe a strong signal of continuity between modern-day Irish populations and the Bronze Age individuals, one of whom is a carrier for the C282Y hemochromatosis mutation, which has its highest frequencies in Ireland today.

Abstract

The Neolithic and Bronze Age transitions were profound cultural shifts catalyzed in parts of Europe by migrations, first of early farmers from the Near East and then Bronze Age herders from the Pontic Steppe. However, a decades-long, unresolved controversy is whether population change or cultural adoption occurred at the Atlantic edge, within the British Isles. We address this issue by using the first whole genome data from prehistoric Irish individuals. A Neolithic woman (3343–3020 cal BC) from a megalithic burial (10.3× coverage) possessed a genome of predominantly Near Eastern origin. She had some hunter–gatherer ancestry but belonged to a population of large effective size, suggesting a substantial influx of early farmers to the island. Three Bronze Age individuals from Rathlin Island (2026–1534 cal BC), including one high coverage (10.5×) genome, showed substantial Steppe genetic heritage indicating that the European population upheavals of the third millennium manifested all of the way from southern Siberia to the western ocean. This turnover invites the possibility of accompanying introduction of Indo-European, perhaps early Celtic, language. Irish Bronze Age haplotypic similarity is strongest within modern Irish, Scottish, and Welsh populations, and several important genetic variants that today show maximal or very high frequencies in Ireland appear at this horizon. These include those coding for lactase persistence, blue eye color, Y chromosome R1b haplotypes, and the hemochromatosis C282Y allele; to our knowledge, the first detection of a known Mendelian disease variant in prehistory. These findings together suggest the establishment of central attributes of the Irish genome 4,000 y ago.

A Dynastic elite in monumental Neolithic society by Cassidy et al, 2020

Poulnabrone Dolmen, County Clare, where disarticulated remains of 35 individuals have been excavated and two, approximately 5500-6000 years old, have resulting haplogroups.

This second article includes a great deal of archaeological and burial information which includes caves, reefs, cist burials, boulder chambers, peat bogs, dry-stone walls, portal tombs (think Stonehenge style structures), megalithic tombs such as the Giant’s Ring, court tombs, and passage tombs, including Newgrange.

Abstract

The nature and distribution of political power in Europe during the Neolithic era remains poorly understood1. During this period, many societies began to invest heavily in building monuments, which suggests an increase in social organization. The scale and sophistication of megalithic architecture along the Atlantic seaboard, culminating in the great passage tomb complexes, is particularly impressive2. Although co-operative ideology has often been emphasized as a driver of megalith construction1, the human expenditure required to erect the largest monuments has led some researchers to emphasize hierarchy3—of which the most extreme case is a small elite marshalling the labour of the masses. Here we present evidence that a social stratum of this type was established during the Neolithic period in Ireland. We sampled 44 whole genomes, among which we identify the adult son of a first-degree incestuous union from remains that were discovered within the most elaborate recess of the Newgrange passage tomb. Socially sanctioned matings of this nature are very rare, and are documented almost exclusively among politico-religious elites4—specifically within polygynous and patrilineal royal families that are headed by god-kings5,6. We identify relatives of this individual within two other major complexes of passage tombs 150 km to the west of Newgrange, as well as dietary differences and fine-scale haplotypic structure (which is unprecedented in resolution for a prehistoric population) between passage tomb samples and the larger dataset, which together imply hierarchy. This elite emerged against a backdrop of rapid maritime colonization that displaced a unique Mesolithic isolate population, although we also detected rare Irish hunter-gatherer introgression within the Neolithic population.

Y DNA Analysis at FamilyTreeDNA

Fortunately, the minimum coverage threshold for the Bradley lab was 30X, meaning 30 scanned reads. Of the 37 males sequenced, the lab was able to assign a Y DNA haplogroup to 36.

Family Tree DNA downloaded the BAM files and Michael Sager analyzed the Y DNA. The results split about 8 Y DNA lines, resulting in a total of 16 different haplogroup assignments. There are a couple more that may split with additional tests.

Cassidy et al report that the Y DNA results in several geographic locations, using the ISOGG tree (2018) for haplogroup assignment, although in some cases, I did find some inconsistencies in their haplogroup and SNP names. I would recommend reading the paper in full for the context, including the supplementary information, and not simply extracting the SNP information, because the context is robust as is their analysis.

If your family hails from the Emerald Isle, chances are very good that these people represent your ancestral lines, one way or another – even if you don’t match them exactly. The events they witnessed were experienced by your ancestors too. There appears to have been a vibrant, diverse community, or communities, based on the burials and history revealed.

Of course, we all want to know if our Y DNA or mitochondrial DNA haplogroups, or that of our family members matches any of these ancient samples.

Thank you to Michael Sager, phylogeneticist, and Goran Runfeldt, head of R&D at Family Tree DNA for making this information available. Without their generosity, we would never know that an ancient sample actually split branches of the tree, nor could we see if we match.

Do You Match?

I explained, in this article, here, step-by-step, how to determine if your Y DNA or mitochondrial DNA matches these ancient samples.

If you only have a predicted or base haplogroup, you can certainly see if your haplogroup is upstream of any of these ancient men. However, you’ll receive the best results if you have taken the detailed Big Y-700 test, or for the mitochondrial DNA lines, the full sequence test. You can upgrade or order those tests, here. (Sale started today.)

Sample: Rathlin1 / RM127 (Cassidy et al. 2016)
Sex: Male
Location: Glebe, Rathlin Island, Northern Ireland
Age: Early Bronze Age 2026-1885 cal BC
Y-DNA: R-DF21
mtDNA: U5a1b1e

Sample: Rathlin2 / RSK1 (Cassidy et al. 2016)
Sex: Male
Location: Glebe, Rathlin Island, Northern Ireland
Age: Early Bronze Age 2024-1741 cal BC
Y-DNA: R-DF21
mtDNA: U5b2a2

Sample: Rathlin3 / RSK2 (Cassidy et al. 2016)
Sex: Male
Location: Glebe, Rathlin Island, Northern Ireland
Age: Early Bronze Age 1736-1534 cal BC
Y-DNA: R-L21
mtDNA: J2b1a

Sample: Ballynahatty / BA64 (Cassidy et al. 2016)
Sex: Female
Location: Ballynahatty, Down, Northern Ireland
Age: Middle to Late Neolithic 3343-3020 cal BC
mtDNA: HV0-T195C!

The above 4 samples were from the original 2016 paper, with the additional samples from 2020 added below

Sample: Ashleypark3 / ASH3 (Cassidy et al. 2020)
Sex: Male
Location: Ashleypark, Tipperary, Ireland
Age: Early-Middle Neolithic 3712-3539 cal BC
Y-DNA: I-FT344600
FTDNA Comment: Ashleypark3, Parknabinnia186, Parknabinnia2031, Parknabinnia672, Parknabinnia675, Parknabinnia768 and Poulnabrone06 split the I2-L1286 (S21204+/L1286-) branch. These samples, along with SBj (Gunther 2018), I1763 (Mathieson 2018), Ajv54 (Malmström 2019) and Ajv52, Ajv58 and Ajv70 (Skoglund 2012) form the branch I-FT344596. All Cassidy samples form an additional branch downstream, I-FT344600. There is further evidence that SBj, Ajv58 and Ajv52 might form an additional branch, sibling to I-FT344600
mtDNA: T2c1d1

Sample: Killuragh6 / KGH6 (Cassidy et al. 2020)
Sex: Male
Location: Killuragh, Limerick, Ireland
Age: Mesolithic 4793-4608 cal BC
Y-DNA: I-V4921
FTDNA Comment: Joins ancient samples Loschbour, Motala12, Motala3 (Lazaridis 2015) and Steigen (Gunther 2018) at I2-V4921
mtDNA: U5b2a

Loschbour Man is from present-day Luxembourg, Motala is from Sweden and Steigen is from Norway.

Sample: Parknabinnia186 / PB186 (Cassidy et al. 2020)
Sex: Male
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3518-3355 cal BC
Y-DNA: I-FT344600
FTDNA Comment: See Ashleypark3
mtDNA: X2b-T226C

Sample: Parknabinnia2031 / PB2031 (Cassidy et al. 2020)
Sex: Male
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3632-3374 cal BC
Y-DNA: I-FT344600
FTDNA Comment: See Ashleypark3
mtDNA: K1a2b

Sample: Parknabinnia672 / PB672 (Cassidy et al. 2020)
Sex: Male
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3626-3196 cal BC; 3639-3384 cal BC
Y-DNA: I-FT344600
FTDNA Comment: See Ashleypark3
mtDNA: T2c1d-T152C!

Sample: Parknabinnia675 / PB675 (Cassidy et al. 2020)
Sex: Male
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3263-2910 cal BC; 3632-3372 cal BC
Y-DNA: I-FT344600
FTDNA Comment: See Ashleypark3
mtDNA: H1

Sample: Parknabinnia768 / PB768 (Cassidy et al. 2020)
Sex: Male
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3642-3375 cal BC
Y-DNA: I-FT344600
FTDNA Comment: See Ashleypark3
mtDNA: H4a1a1

Sample: Poulnabrone06 / PN06 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Middle Neolithic 3635-3376 cal BC
Y-DNA: I-FT344600
FTDNA Comment: See Ashleypark3
mtDNA: H

Sample: Sramore62 / SRA62 (Cassidy et al. 2020)
Sex: Male
Location: Sramore, Leitrim, Ireland
Age: Mesolithic 4226-3963 cal BC
Y-DNA: I-S2519
FTDNA Comment: Split the I2-S2519 branch. Pushes Cheddar man and SUC009 down to I-S2497. Other relevant pre-L38s include I2977 (I-Y63727) and R11, I5401, I4971, I4915 I4607 (I-S2599)
mtDNA: U5a2d

This branch is ancestral to Cheddar Man who dates from about 9000 years ago and was found in Cheddar Gorge, Somerset, England. S2497 has 141 subbranches.

Sample: Annagh1 / ANN1 (Cassidy et al. 2020)
Sex: Male
Location: Annagh, Limerick, Ireland
Age: Middle Neolithic 3638-3137 cal BC
Y-DNA: I-Y3712
FTDNA Comment: One of 15 ancient samples currently on this branch
mtDNA: K1a-T195C!

Men from Germany and Ireland are also found on this branch which hosts 47 subbranches.

Sample: Annagh2 / ANN2 (Cassidy et al. 2020)
Sex: Male
Location: Annagh, Limerick, Ireland
Age: Middle Neolithic 3705-3379 cal BC
Y-DNA: I-Y3712
FTDNA Comment: One of 15 ancient samples currently on this branch
mtDNA: H4a1a1

Along with men from Germany and Ireland, and 47 subbranches.

Sample: Ardcroney2 / ARD2 (Cassidy et al. 2020)
Sex: Male
Location: Ardcrony, Tipperary, Ireland
Age: Middle Neolithic 3624-3367 cal BC
Y-DNA: I-FT354500
FTDNA Comment: Ardcroney2 and Parknabinnia443 split the I2-Y13518 branch and form a branch together (I-FT354500). Additional ancient samples residing on I-Y13518 include I2637, I2979, I6759, and Kelco cave
mtDNA: J2b1a

Kelco Cave is in Yorkshire, England.

Sample: Ashleypark1 / ASH1 (Cassidy et al. 2020)
Sex: Male
Location: Ashleypark, Tipperary, Ireland
Age: Middle Neolithic 3641-3381 cal BC
Y-DNA: I-Y3712
FTDNA Comment: One of 15 ancient samples currently on this branch
mtDNA: K2a9

Sample: Baunogenasraid72 / BG72 (Cassidy et al. 2020)
Sex: Male
Location: Baunogenasraid, Carlow, Ireland
Age: Middle Neolithic 3635-3377 cal BC
Y-DNA: H-FT362000
FTDNA Comment: Baunogenasraid72 and Jerpoint14 split the H-SK1180 branch and form branch together (H-FT362000). Several other additional ancient samples belong to this branch as well including FLR001, FLR002, FLR004, GRG022, GRG041 (Rivollat 2020), and BUCH2 (Brunel 2020)
mtDNA: K1a4a1

Y haplogroup H is hen’s-teeth rare.

Sample: Carrowkeel531 / CAK531 (Cassidy et al. 2020)
Sex: Male
Location: Carrowkeel, Sligo, Ireland
Age: Late Neolithic 2881-2625 cal BC
Y-DNA: I-FT380380
FTDNA Comment: Joins ancient sample prs013 (Sánchez-Quinto 2019)
mtDNA: H1

Sample: Carrowkeel532 / CAK532 (Cassidy et al. 2020)
Sex: Male
Location: Carrowkeel, Sligo, Ireland
Age: Late Neolithic 3014-2891 cal BC
Y-DNA: I-Y3709
FTDNA Comment: One of 12 ancient samples currently on this branch
mtDNA: J1c3

One current sample from Portugal.

Sample: Carrowkeel534 / CAK534 (Cassidy et al. 2020)
Sex: Male
Location: Carrowkeel, Sligo, Ireland
Age: Neolithic None
Y-DNA: I-M284
mtDNA: X2b4

This branch has several subclades as well as people from Ireland, Scotland, England, British Isles, Germany, France, Denmark, Northern Ireland and Norway.

Sample: Carrowkeel68 / CAK68 (Cassidy et al. 2020)
Sex: Male
Location: Carrowkeel, Sligo, Ireland
Age: Late Neolithic 2833-2469 cal BC
Y-DNA: I-Y3709
FTDNA Comment: One of 12 ancient samples currently on this branch
mtDNA: H

Sample: Cohaw448 / CH448 (Cassidy et al. 2020)
Sex: Male
Location: Cohaw, Cavan, Ireland
Age: Middle Neolithic 3652-3384 cal BC
Y-DNA: I-L1498
mtDNA: H1

This branch has 129 subbranches and men from England, Ireland, UK, France, Germany, Czech Republic, Norway, Northern Ireland and Scotland.

Sample: Glennamong1007 / GNM1007 (Cassidy et al. 2020)
Sex: Male
Location: Glennamong, Mayo, Ireland
Age: Middle Neolithic 3507-3106 cal BC
Y-DNA: I-Y3713
FTDNA Comment: Joins VK280
mtDNA: K1a-T195C!

Branch has 42 subbranches and men from Ireland, England, Scotland, France, and Germany. I wrote about VK280, a Viking skeleton from Denmark, here.

Sample: Glennamong1076 / GNM1076 (Cassidy et al. 2020)
Sex: Male
Location: Glennamong, Mayo, Ireland
Age: Middle Neolithic 3364-2940 cal BC
Y-DNA: I-Y3709
FTDNA Comment: One of 12 ancient samples currently on this branch
mtDNA: H1c

Sample: MillinBay6 / MB6 (Cassidy et al. 2020)
Sex: Male
Location: Millin Bay (Keentagh Td.), Down, Ireland
Age: Middle Neolithic 3495-3040 cal BC
Y-DNA: I-L1193
FTDNA Comment: One of 6 ancient samples currently on this branch
mtDNA: J1c3

Branch has 51 subbranches and men from Ireland and England.

Sample: Jerpoint14 / JP14 (Cassidy et al. 2020)
Sex: Male
Location: Jerpoint West, Kilkenny, Ireland
Age: Middle Neolithic 3694-3369 cal BC
Y-DNA: H-FT362000
FTDNA Comment: Baunogenasraid72 and Jerpoint14 split the H-SK1180 branch and form branch together (H-FT362000). Several other additional ancient samples belong to this branch as well including FLR001, FLR002, FLR004, GRG022, GRG041 (Rivollat 2020), and BUCH2 (Brunel 2020)
mtDNA: T2c1d1

Sample: Newgrange10 / NG10 (Cassidy et al. 2020)
Sex: Male
Location: Newgrange, Main Chamber, Meath, Ireland
Age: Middle Neolithic 3338-3028 cal BC
Y-DNA: I-Y3709
FTDNA Comment: One of 12 ancient samples currently on this branch
mtDNA: U5b1-T16189C!-T16192C!

Sample: Parknabinnia1327 / PB1327 (Cassidy et al. 2020)
Sex: Male
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3631-3353 cal BC
Y-DNA: I-Y3712
FTDNA Comment: One of 15 ancient samples currently on this branch
mtDNA: T2b3

Sample: Parknabinnia443 / PB443 (Cassidy et al. 2020)
Sex: Male
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3636-3378 cal BC
Y-DNA: I-FT354500
FTDNA Comment: Ardcroney2 and Parknabinnia443 split the I2-Y13518 branch and form a branch together (I-FT354500). Additional ancient samples residing on I-Y13518 include I2637, I2979, I6759, and Kelco_cave
mtDNA: K1b1a1

Sample: Parknabinnia581 / PB581 (Cassidy et al. 2020)
Sex: Male
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3631-3362 cal BC
Y-DNA: I-L1193
FTDNA Comment: One of 6 ancient samples currently on this branch
mtDNA: T2b

Sample: Poulnabrone02 / PN02 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Early-Middle Neolithic 3704-3522 cal BC
Y-DNA: I-Y3712
FTDNA Comment: One of 15 ancient samples currently on this branch
mtDNA: U5b1c1

Sample: Poulnabrone03 / PN03 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Middle Neolithic 3635-3376 cal BC
Y-DNA: I-Y3709
FTDNA Comment: One of 12 ancient samples currently on this branch
mtDNA: K1a1

Sample: Poulnabrone04 / PN04 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Early Neolithic 3944-3665 cal BC
Y-DNA: I-Y3709
FTDNA Comment: One of 12 ancient samples currently on this branch
mtDNA: H1-T16189C!

Sample: Poulnabrone05 / PN05 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Early Neolithic 3941-3661 cal BC
Y-DNA: I-L1193
FTDNA Comment: One of 6 ancient samples currently on this branch
mtDNA: K1a-T195C!

Sample: Poulnabrone07 / PN07 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Middle Neolithic 3629-3371 cal BC
Y-DNA: I-FT370113
FTDNA Comment: Forms a branch with Raschoille_1 (Brace 2019) and I3041 (Olalde 2018). Other relevant ancient samples are Carsington_Pasture_1, I3134, I7638 at I-BY166411, and Coldrum_1 and I2660 at I-BY168618. These 8 ancients all group with two modern men, 1 from Ireland and 1 of unknown origins.
mtDNA: U5b1c

Sample: Poulnabrone107 / PN107 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Early Neolithic 3926-3666 cal BC
Y-DNA: I-Y3709
FTDNA Comment: One of 12 ancient samples currently on this branch
mtDNA: U4a2f

Sample: Poulnabrone112 / PN112 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Early-Middle Neolithic 3696-3535 cal BC
Y-DNA: I-Y3709
FTDNA Comment: One of 12 ancient samples currently on this branch
mtDNA: U5b2b

Sample: Poulnabrone12 / PN12 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Middle Neolithic 3621-3198 cal BC
Y-DNA: I-Y3709
FTDNA Comment: One of 12 ancient samples currently on this branch
mtDNA: H

Sample: Poulnabrone13 / PN13 (Cassidy et al. 2020)
Sex: Male
Location: Poulnabrone, Clare, Ireland
Age: Early-Middle Neolithic 3704-3536 cal BC
Y-DNA: I-S2639
mtDNA: V

Branch has 172 subclades.

Sample: Carrowkeel530 / CAK530 (Cassidy et al. 2020)
Sex: Female
Location: Carrowkeel, Sligo, Ireland
Age: Late Neolithic 2883-2634 cal BC
mtDNA: W5b

Sample: Carrowkeel533 / CAK533 (Cassidy et al. 2020)
Sex: Female
Location: Carrowkeel, Sligo, Ireland
Age: Late Neolithic 3085-2904 cal BC
mtDNA: H

Sample: NewgrangeZ1 / NGZ1 (Cassidy et al. 2020)
Sex: Female
Location: Site Z, Newgrange, Meath, Ireland
Age: Middle Neolithic 3320-2922 cal BC
mtDNA: X2b-T226C

Sample: Parknabinnia1794 / PB1794 (Cassidy et al. 2020)
Sex: Female
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3647-3377 cal BC
mtDNA: J1c6

Sample: Parknabinnia357 / PB357 (Cassidy et al. 2020)
Sex: Female
Location: Parknabinnia, Clare, Ireland
Age: Early-Middle Neolithic 3640-3381 cal BC; 3774-3642 cal BC
mtDNA: U8b1b

Sample: Parknabinnia754 / PB754 (Cassidy et al. 2020)
Sex: Female
Location: Parknabinnia, Clare, Ireland
Age: Middle Neolithic 3617-3138 cal BC
mtDNA: U5b2a3

Sample: Poulnabrone10_113 / PN113 (Cassidy et al. 2020)
Sex: Female
Location: Poulnabrone, Clare, Ireland
Age: Early Neolithic 3940-3703 cal BC
mtDNA: H4a1a1a

Sample: Poulnabrone16 / PN16 (Cassidy et al. 2020)
Sex: Female
Location: Poulnabrone, Clare, Ireland
Age: Middle Neolithic 3633-3374 cal BC
mtDNA: K1b1a1

So, how about it? Do you match?

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