1. 1
Crumley Y DNA to Autosomal Case
Study – Kicking It Up a Notch
Going from 5 to 50 in 3.7 Seconds
Presented by Roberta Estes
2. Crumley Y DNA Project
• Established 2004
• Before Autosomal
• One Burning Question
• Did George and James Share a
Common Ancestor?
– James b c 1712 d 1764 Frederick
Co., VA
– George b 1740 d 1806 Sullivan
Co., TN
2
3. 3
Answer
• 4 James Crumley Males
• 2 George Crumley Males
• Not Same Ancestor
• Descendants Migrated
to Same Areas
• Often Can’t Determine
Ancestry by Location
• Common first names like John, William and George
• Project Became Stagnant
5. 5
Y to Autosomal – Why?
• Administrators Have More Opportunity
• Project Provides Established, Firm
Foundation
• Proven Y Descent Lines – No Question
• Project Members Know Each Other
• Project Members Know Admins
• Project Name Attracts Descendants
• All Relevant People in One Place
• Best Chance of Success
• You Don’t Know What You Don’t Know
6. 6
Y to Autosomal – How?
• No box to click
• No autosomal page – nothing to show publicly
• All people won’t show
– mtDNA only
– Security setting default
• New Y people who do show
are not Crumley
• Create “Crumley Autosomal”
Group
• Transition is “administrator
powered”
• Why, How, Tools and
Discoveries
7. 7
Recruiting
• Asked Existing Members to take FF Test
• Invited Known Cousins to Join/Test
• Asked Members to Contact Cousins
• Checked Project Members FF for Crumley Matches
– By surname – all spellings
– Ancestral Surname field
– ICW because not everyone adds surnames
– ICW plus surname
– Matrix
• Ancestry Matches – Invited to Transfer and Join Project
• Rootsweb lists and boards, Google
8. 8
Benefits to Non-Y Crumleys
• Intra-project Matching
• Female Inclusion
• Non-Crumley Surname Inclusion
– Many people don’t understand the different
kinds of DNA and tools
• Collaboration
• New Opportunities – New Co-Admin
• Unknown Discoveries – You don’t know
what gold nuggets you’ll find until you
shake the pan.
11. 11
Unexpected Benefits
• Several People Brought Family Groups to Project
• Several People Tested More Family Members
• Total 50 People
• Across 2 of James Crumley’s Sons
• Became the Perfect Research Project
JamesCrumley+CatherinepossiblyGilkey
| |
JohnCrumley + HannahFaulkner WilliamCrumley + HannahMercer
12. 12
Curious Minds Want to Know?
• Would the descendants of John and William
match each other?
• At a distance of greater than 8th
cousins?
• How much DNA would they share?
• Would it triangulate?
• How much of James Crumley’s genome can we
reconstruct, if any?
• Are there discoveries waiting that we wouldn’t
otherwise find?
13. 13
Meet James Crumley
The Moonshining Quaker
• Born about 1712, Location Unknown, Rumored England and
Ireland
• First found in Chester Co., PA 1732
• Moved to Frederick Co., VA among Quakers in 1744
• Member of Quaker Church and Community
• Married Catherine, surname unknown about 1732
Rumored Gilkey
Rumored Bowen
• Had 5 children, 4 males
• Died 1757 with Will
16. 16
Unconnected Crumleys
20 Participants
>>not James Crumley line>>
unconnected unconnected unconnected unconnected unconnected unconnected
Jesse b1802 mEmiline Loftis Thomas b1799 mSusanTerrellJames Crumley b1801 IrelandJohnb1795 SC
| | | |
Williamb1838 mMargaret Harriett b1840 Jane Crumley b1835 mJosephGreeneEdney b1818 mJoseph
| | | |
Jesse b1864 Samuel Joeva John Alfred b1852 mMargaret CopelandWilliamSebronb1848
| | | | | |
Ransomb1898 mIva Warren Ross Robert Emily JohnPleasant
| | | | | | |
Jack Elise b1931 Donna living Helen James Hoke Smith
| | | | | |
Jack Pam BH Brenda James James n
| | | | |
Steve Bradley Dale b1970 Rhonda Leonora Chris
note this includes Freda,Valerie,Lee andRuth
17. 17
Create Relationship ChartPam Ken Steve Roberta Jerry Ruth Freda Larry Camille Karen Betty Charlene David Debbie Carl Buster Harold Dean BH James SarahM Tara John RobertD EarlC RoseG EldaR KennyH MaryC Ervine AlfredB JeanD Anna Crawford Stacy
Pam na x x x x x x x
Ken na 6C1R 5C 6C1R 4C1r 6C 6C1R 7C 6C1R 7C 6C 6C 6C1R 6C1R 6C1R+ 7C 6C1R 4C 4C1R 6C1R 5C 5C 5C 7C 5C 5C 5C 5C 6C1R 6C1R 6C3R
Steve na x x x
Roberta na 6C1R 5C 7C 4C1R 4C 1C1R 2C 2C1R 2C1R 1C1R 3C 3C 7C+ 4C1R 5C 7C1R 7C 5C 6C1R 6C1R 6C1R 5C1R 6C1R 6C1R 6C1R 6C1R 5C 5C great-aunt
Jerry na 6C1R 5C1R 6C 6C1R 7C 6C1R 7C 6C 6C 6C1R 6C1R 6C1R+ 7C 6C1R 5C2R 5C1R 6C1R 4C 4C 4C 7C 4C 4C 4C 4C 6C1R 6C1R 7C2R
Ruth na x x
Freda na
Larry na 7C 4C1R 5C 5C1R 5C 5C1R 4C1R 4C1R 5C 5C 7C+ 5C1R 5C 7C1R 7C 5C 6C1R 6C1R 6C1R 5C1R 6C1R 6C1R 6C1R 6C1R 4C 5C 5C2R
Camille na 6c1R 7C 7C1R 7C 7C1R 6C1R 6C1R 7C 7C 7C+ 7C1R 7C 5C1R 5C1R 7C 5C1R 5C1R 5C1R 7C1R 5C1R 5C1R 5C1R 5C1R 7C 7C 7C2R
Karen na 4C1R 4C2R 4C1R 4C2R 4C 4C 4C1R 4C1R 6C+ 4C2R 4C1R 7C 6C1R 4C1R 6C 6C 6C 4C2R 6C 6C 6C 6C 4C1R 4C1R 4C3R
BettyCrawford na 5C1R 5C 5C1R 4C1R 4C1R 5C 5C 7C+ 5C1R 5C 7C1R 7C 5C 6C1R 6C1R 6C1R nephew 6C1R 6C1R 6C1R 6C1R 4C 4C1R 4C2R
Charlene na 2C1R 3C 2C2R 1C2R 3C1R 3C1R 7C1R+ 5C 5C1R 7C2R 7C1R 5C1R 6C2R 6C2R 6C2R 6C 6C2R 6C2R 6C2R 6C2R 5C1R 5C1R 1C3R
David na 1C1R 2C1R 1C1R 3C 3C 7C+ 4C1R 5C 7C1R 7C 4C1R 6C1R 6C1R 6C1R 5C1R 6C1R 6C1R 6C1R 6C1R 5C 5C 2C2R
Debbie na 2C2R 1C2R 3C1R 3C1R 7C1R+ 5C 5C1R 7C2R 7C1R 5C1R 6C2R 6C2R 6C2R 6C 6C2R 6C2R 6C2R 6C2R 5C1R 5C1R 2C3R
Carl na 2C uncle uncle 6C+ 3C2R 4C1R 7C 6C1R 4C1R 6C 6C 6C 4C2R 6C 6C 6C 6C 4C1R 4C1R 2C3R
Buster na 2C1R 2C1R 6C+ 3C2R 4C1R 7C 6C1R 4C1R 6C 6C 6C 4C2R 6C 6C 6C 6C 4C1R 4C1R 1C3R
Harold na siblings 7C+ 4C1R 5C 7C1R 7C 5C 6C1R 6C1R 6C1R 5C1R 6C1R 6C1R 6C1R 6C1R 5C 5C 3C2R
Dean na 7C+ 4C1R 5C 7C1R 7C 5C 6C1R 6C1R 6C1R 5C1R 6C1R 6C1R 6C1R 6C1R 5C 5C 3C2R
BH na 7C+ 6C1R+ 7C1R+ 7C+ 6C1R+ 6C1R+ 6C1R+ 6C1R+ 7C+ 6C1R+ 6C1R+ 6C1R+ 6C1R+ 7C+ 7C+ 7C2R+
James na 5C1R 7C2R 7C1R 5C1R 6C2R 6C2R 6C2R 6C 6C2R 6C2R 6C2R 6C2R 5C1R 5C1R 4C3R
Sarah na 7C1R 7C 5C 6C1R 6C1R 6C1R 5C1R 6C1R 6C1R 6C1R 6C1R 5C 5C 5C2R
Tara na 3C1R 7C1R 5C2R 5C2R 5C2R 8C 5C2R 5C2R 5C2R 5C2R 7C1R 7C1R 7C3R
John na 7C 5C1R 5C1R 5C1R 7C1R 5C1R 5C1R 5C1R 5C1R 7C 7C 7C2R
Robert na 6C1R 6C1R 6C1R 5C1R 6C1R 6C1R 6C1R 6C1R 5C 5C 5C2R
EarlCoker na siblings siblings 6C2R siblings 2C 3C 3C 6C1R 6C1R 6C3R
RoseGunn na siblings 6C2R siblings 2C 3C 3C 6C1R 6C1R 6C3R
EldaRobinson na 6C2R siblings 2C 3C 3C 6C1R 6C1R 6C3R
KennyH na 6C2R 6C2R 6C2R 6C2R 4C1R 4C1R 5C3R
MaryCoker na 2C 3C 3C 6C1R 6C1R 6C3R
Ervine na 1C 1C 6C1R 6C1R 6C3R
AlfredB na siblings 6C1R 6C1R 6C3R
JeanD na 7C1R 7C1R 7C3R
AnnaEvans na 2C 5C2R
CrawfordJones na 5C2R
Stacy na
18. 18
Relationship Chart
• Bolded = FTDNA Match
• 4 Current generations testing
• Most Distant is 7C3R=8C1R
• Closest Across Divide – 11
Descendants who are 6th
cousins
• DNA survived division combined
total of 16 times to match
• Omitted Children when Parent
Tested
19. 19
The James Crumley Spreadsheet
• Included people with uncertain connections in original
spreadsheet
• Over 1250 individual comparisons – NOT FUN
• Duplicates Removed
• 8300 Rows in James Spreadsheet
• Included to 3cM, 300 SNPs
• Download to GedMatch allows universal comparisons
20. 20
Second Spreadsheet – James Only
Across the Divide
• James is the Divide
• Second Spreadsheet is a subset of the first
• Narrows focus to known lines – excluded others
• Removed Everyone Except John, William and BH
• Resulting DNA is James’ and Catherine’s
• No Wife’s DNA is Causing Interference
• Only Blue to Green or BH to Blue or Green matches – Across the Divide
• 3000 Rows in James Only Spreadsheet
JamesCrumley+CatherinepossiblyGilkey
| |
JohnCrumley + HannahFaulkner WilliamCrumley + HannahMercer
21. 21
James Only Spreadsheet Details
Matching cM Length Number of Matches
Over 20 3
Over 10 12
7-10 29
6-7 32
5-6 182
4-5 532
3-4 2189
Closest relationship is 6th
cousins.
22. 22
The Fun Begins
Matching and Triangulating
• Tools Used Normally
Individual Matches
ICW (In Common With Matches)
Matrix and Group Matching
Chromosome Browser
• Tools Used Differently For Group Project
Group Matching
Triangulation
23. 23
Begin with Individual Matches
There is a difference between individual matching, group matching
and triangulation, especially for group projects.
25. 25
Matrix
• Admins Can Run Matrix for Individuals
– Includes all their matches
– Match but not necessarily on same segment
– Invite matches to join project
• Admins Can Run Matrix for All Project Members
– Includes only project members
– Match but not necessarily on same segment
26. 26
Chromosome Browser
• Segment Matches
• Admins can confirm matches between
project members
• If all members not in project, can’t confirm 3
way match
27. 27
Match Group and Triangulation
Groups
– On your Personal Spreadsheet – all match to you
– All compared to you – download at once
– Group project is Ancestor Reconstruction spreadsheet
– Many descendants who match each other
– Compare everyone to everyone
– Compare all who can at FTDNA – threshold 20cM total, 7cM
individual segment
Person Match
Chr
Start
Location
End
Location
cM
Earl Tara 1 72,017 2,398,694 5.4
Mary C Tara 1 72,017 2,398,694 5.4
Earl Carl 1 72,017 2,420,477 5.5
Earl Jerry 1 72,017 2,420,477 5.5
Mary C Carl 1 72,017 2,420,477 5.5
Mary C Jerry 1 72,017 2,420,477 5.5
Ervine Earl 1 72,017 2,420,917 5.5
Ervine Mary C 1 72,017 2,420,917 5.5
Ervine Jerry 1 72,017 2,928,557 7.1
28. 28
• Know that Bridget and John both match Jerry
• Same segment
• Don’t know that Bridget and John match each other
• Could match Jerry on different parent’s sides
NAME MATCHNAME CHR START END cM SNPs
Jerry Bridget 2 6809121 37530175 43.07 8554
Jerry John 2 6809121 37530175 43.07 8554
29. 29
• May not be able to prove John and Bridget if not project
members
• Invite to Join Project
• A Matches B
• A Matches C
• B Matches C
NAME MATCHNAME CHR START END cM SNPs
Jerry Bridget 2 6809121 37530175 43.07 8554
Jerry John 2 6809121 37530175 43.07 8554
John Bridget 2 6809121 37530175 43.07 8554
30. Confidence Spectrum
• Sometimes you can’t Triangulate everyone
• Creates mishmash of match types
• OK – Goal is different – personal spreadsheets
trying to prove an ancestor – group
spreadsheet knows the ancestor
• How much confidence can you have in each
match type?
• See article on www.dna-explained.com called
“Autosomal DNA Matching Confidence
Spectrum”
30
32. 32
Recreating James
• James Only Spreadsheet (blue to green and gold BH)
• Three match groups (example)
• These matches don’t Triangulate because blue to blue removed
• Return to large spreadsheet for triangulation
33. 33
Additional Columns
• Triangulation: Easy to flag with column – these example have not been
triangulated. Why? 8000 lines by hand
• Relationship: The relationship between the two individuals who are matching
to each other.
• James: The original spreadsheet includes all descendants, including people
who know they have Crumley ancestors, but don’t know exactly how they
connect, so the James column was added for me to easily sort everyone
whose most distant ancestor is James and not another Crumley. For
example, this means that two cousins who both descend from William,
James’ son, do NOT have an X in this box, because their most recent
common ancestor is William, not James. This allows me to sort (“recreate”)
James without the matching DNA of his son’s wives interfering.
• “Before James” applies to BH because their most distant common ancestor
is before James.
• “FTDNA Only” means that I was not able to run this individuals DNA against
everyone else. They did not upload to Gedmatch.
34. 34
Match Groups Suggest Common
Ancestor
– Match Groups suggest, not prove common ancestor
– Some match groups are very large
– Triangulation is the highest confidence “Proof”
– Ancestor Reconstruction includes a lot of Stepped Matches
– Also called Heel to Toe or Staggered Matches
– First and third don’t overlap, but are joined by second individual who
overlaps both
BH Jerry 4 186,859,173 188,088,282 4.6 440
BH Mary 4 187,961,308 189,352,225 3.4 342
BH Crawford 4 188,143,360 189,667,786 3.6 414
35. Discoveries
• Incorrect Genealogy – Not George Afterall
• A Third Crumley Line
• Reconnecting the NPE – Y DNA + Autosomal
• Connect the Dots – The When of a Y Match
• Which Brother?
• Unknown Connection – A Surprise Location
• Catherine’s Surname (Maybe) – Late Breaking
Development
35
36. Connecting the Dots – The
When of Y
• Y Match
• Don’t know connection
• Dual Y + FF approach using Advanced Matches
• Depends on most of project members having done FF+Y tests
36
37. Which Brother?
• James had 4 sons
1. John Crumley born about 1733 who married Hannah Faulkner and
moved to Newberry Co., SC by 1790.
2. William Crumley born about 1735 who married Hannah Mercer and
lived his entire life in Frederick County, VA on the border with
Beckeley Co., WV.
3. Henry Crumley was born before 1745 and married a Sarah whose
last name is unknown. He apparently moved from the area in 1770
when he appointed his brother power of attorney and had died by
1792, but nothing more is known about Henry.
4. Samuel died as a minor.
37
38. Pam’s Purple Line
• Believed by proximity to be John’s line
• If ancestor is John or William, should match
one group of descendants more closely
• If Henry, should match both groups about
equally
38
39. 39
Pam’s Results
Person Match Chr Start Location End Location cM SNPs
John W. Pam 4 147,757,514 178,498,889 32.4 5,814
Tara Pam 2 51,161,579 79,751,289 28.5 7,138
Jerry Pam 2 29,472,182 38,763,906 11.9 2,822
Larry Pam 10 60,021,669 70,724,086 9.9 2,464
Anna Pam 10 60,433,476 70,726,156 9.5 2,385
Robert D Pam 19 35,925,188 40,512,515 8.5 1,134
Jean D Pam 15 24,845,173 27,757,327 8.3 615
Elda Pam 2 29,670,304 36,318,771 8.1 1,896
Earl Pam 2 29,670,304 36,032,848 7.8 1,813
Mary Pam 2 29,670,304 36032848 7.8 1,822
Rose Pam 2 29,670,304 36032848 7.8 1809
Jerry Pam 14 20,272,176 21,770,791 7.4 550
Betty Pam 10 59,835,392 67,752,397 7.1 1,804
Roberta Pam 18 7,154,754 8,777,299 7 595
40. 40
Pam’s Line’s Results
Person Match
Chr Start Location End Location
Centimor
gans
(cM)
SNPs
John W Pam 4 147,757,514 178,498,889 32.4 5,814
Tara Pam 2 51,161,579 79,751,289 28.5 7,138
Freda Ken 9 100,647,846 117,610,247 21.5 2,334
Tara Ruth 2 64,475,512 79,719,708 19.5 3,952
Rose Freda 19 55,127,559 59,518,852 18.9 767
John W Ruth 7 143,237,167 153,153,073 18.8 2,311
Jean D Freda 20 19,539,023 42,471,663 18.4 1,789
Dean Freda 12 103,608,331 116,344,369 18.1 2,312
Tara Freda 2 66,384,227 80,083,549 17.6 1,598
Ervine Freda 20 19,855,740 42,258,901 16.9 1,684
Elda Freda 19 55,391,316 59,203,727 16.7 682
Freda Roberta 9 86,892,946 94,958,464 13.3 983
Alfred Ruth 17 12,344 4,449,944 13.3 1,326
Karen Steve 12 28,084,340 46,559,162 12.1 3,849
Pam Jerry 2 29,472,182 38,763,906 11.9 2,822
John W Freda 4 148,286,077 159,143,955 10.9 875
Carl Freda 1 208,794,138 217,140,581 10.1 1,676
Earl Freda 19 55,391,316 57,878,648 9.9 457
Tara Freda 22 46,371,971 47,975,247 9.9 367
Larry Pam 10 60,021,669 70,724,086 9.9 2,464
Anna Pam 10 60,433,476 70,726,156 9.5 2,385
John W Steve 4 148,237,037 157,390,651 9.4 1,650
Carl Freda 9 136,552,476 138,619,790 9.2 607
Dean Freda 15 24,494,746 27,538,255 9.1 522
Robert D Pam 19 35,925,188 40,512,515 8.5 1,134
Jean D Pam 15 24,845,173 27,757,327 8.3 615
Alfred Freda 16 77,650,818 80,108,983 8.2 499
Elda Pam 2 29,670,304 36,318,771 8.1 1,896
Earl Pam 2 29,670,304 36,032,848 7.8 1,813
Mary Pam 2 29,670,304 36032848 7.8 1,822
Rose Pam 2 29,670,304 36032848 7.8 1809
Camille Ruth 22 18,575,591 22,030,907 7.6 533
Pam Jerry 14 20,272,176 21,770,791 7.4 550
Dean Steve 20 57,303,751 59,022,667 7.4 611
Sarah Steve 20 57,390,784 59,051,195 7.4 593
Stacy Ruth 7 82,214,060 91,880,952 7.2 2,092
Stacy Ruth 22 18,109,138 21,618,277 7.2 690
Charlene Steve 14 20,315,379 21,878,594 7.2 581
Debbie Freda 22 23,284,832 25,598,535 7.1 592
Betty Pam 10 59,835,392 67,752,397 7.1 1,804
Pam Roberta 18 7,154,754 8,777,299 7 595
• Blue at the top
• Green at bottom
• Pam’s group even more profound
than Pam’s results
• Strongly suggestive of John’s line –
significantly closer
• Pam needs to move to wife’s
surname
• John married Hannah Faulkner
• John’s son, Thomas married a
Morgan
• Pam’s group matches Morgans from
this line
41. 41
Pay Attention - Surprise
• BH is autosomal Crumley match from circa 1850
• Line daughtered out
• I didn’t pay attention
• Crumley ancestor on 1850 Harrison County, Ohio
census born in Ireland
• Matches James Crumley line
• Means common ancestor is likely in Ireland
• Where is 1850 James Crumley actually “from?”
• This may well be the key we’ve been looking for
42. 42
BH Match
• The Most Distant Common Ancestor
• MRCA “Before James”
• Still several matches of significant size
Person Match
Chr Start Location End Location (cM) SNPs
Relations
hip
BH Laurie 20 38667637 46673777 13.04 2600
BH John W 4 94,745,940 106,504,539 8.6 2,173 7C+
BH John W 14 55,914,883 63,769,203 7.2 1,925 7C+
BH Charlene 9 128,995,968 132,365,974 6.6 901 7C1R+
BH Crawford 2 28,449,568 33,569,246 6.4 1,551 7C+
BH Ruth 22 18608542 21606219 6.3 463
BH Harold 1 9864705 12590908 6.2 722 7C+
BH Steve 14 20122099 21052472 6.1 351
BH Elda 17 13615647 14705190 6 518 6C1R+
BH Ervine 18 6970457 8231986 6 430 6C1R+
43. 43
Maybe Catherine’s Surname
• Surname Rumored to be Gilkey – Daughter of David and
Barbara Gilkey
• Collaborative project contribution of “Everything Known”
• Brought to light one reference in letter to Bowen as surname –
Daughter of Henry Bowen
• James Crumley bought land from both men
• Both men were neighbors in Frederick County
• Bowen land was significantly discounted
• Bowen was Quaker, Gilkey wasn’t (that we know of)
• James and Catherine named son Henry
• Bowen had will – No mention of James or Catherine
• No DNA matches to Gilkey line
• Two DNA matches to two of Henry Bowen’s children at FTDNA
• Unknown wife in that Crumley line
• It’s a hint – We don’t know yet
44. 44
Nits and Grits
• 30 people in John, William, BH group
• Average of 190 matching segments with
other 29 participants
• 53% of matching segments in a match
group of 3 or more individuals on that
particular segment
• Created individual and summary Statistics
Tables of longest, average, range, etc.
45. 45
Person Total Match Segments Total in Match Group % in Match Group
Alfred 220 133 60
Anna 152 69 45
Betty 162 91 56
BH 372 256 69
Buster 139 70 50
Carl 148 80 54
Charlene 174 98 56
David 169 90 53
Dean 142 68 48
Crawford 154 66 43
Camille 218 121 56
Debbie 82 33 40
Earl 206 97 47
Elda 243 131 54
Ervine 223 119 53
Harold 136 76 56
James 182 100 55
Jean 228 117 51
John W 245 132 58
Karen 156 74 47
Kenny H 147 75 51
Larry 182 112 61
Ken C 248 157 63
Mary 239 131 55
Robert D 148 78 53
Roberta 154 80 52
Rose 261 148 57
Sarah 173 90 52
Stacy 182 100 55
Tara 218 127 58
Total 5703 3119 1608
Average 190.1 103.9666667 53.6
50. 50
AccomplishmentsY Only
•James and George are two separate Crumley lines
•NPE
Autosomal Plus Y
•Reconnected NPE
•Determined Age of Y Connection
•Connect Participants to Line
•Discovered Unknown Connection
•Probable Irish Origins
•Reconstructed James/Catherine
•Reconstructed Partial James Only
•Catherine’s Surname (possibly)
•Discovered Connections of 9th
cousins
•Added more than 40 people to the project
•Discovered Third Crumley line
•Renewed Research Interest
•New Admin
•Trip to Apple Pie Ridge
51. 51
Summary
• Y DNA Project was Fantastic Foundation
• Ancestry Wasn’t Close
• Enthusiasm is Key
• Look for Opportunities
52. 52
How To Transition a Project
• In the project description, state that Family Finder (autosomal testers) are
welcome
• Recruit current members to take the Family Finder test
• Ask current members to ask their known family members to test as well
• Ask current members if they know other researchers from that family line who
would test
• Check autosomal results for project members who have taken the Family Finder
test for surname matches
• If anyone has tested at 23andMe or Ancestry, recruit from their matches as well
• Encourage Ancestry and V3 23andMe matches to transfer their results to
FTDNA – Use matching entire project as incentive
• Encourage project members to download results to GedMatch and recruit from
matches there
• Set the Y project up with an Autosomal Match section
• Tell people that you would like to join the project that there are special matching
tools within projects
• Give new recruits directions for intra-project matching and the ICW tool
53. 53
Acknowledgements
• Family Tree DNA – Project Structure and Tools
• Crumley Project Members
• GedMatch
• Kitty Cooper
• Co-Administrators, James Crumley and Pam
Hush
It takes a village!!!
