Mike (and others) One of the advantages of 23andMe testing is that you get a fairly good identification of your mtDNA Haplogroup  - not perfect - but well worthwhile in most cases. And, it is useful once you have your results is to upload the RAW DATA file to: www.openSNP.org Also uploading the file to GedMatch (using the GENIUS for V5 files) is important. And hopefully shortly one will be able to search by haplogroup label (as is already available for the standard GEDMatch program). Ian ----------------------- On 01/11/2017 13:08, Michael Fisher wrote: > Hi Ann > > Ann thank you for posting this from the UK !!! > > I went to the site and it opened the eng-GB site and I saw that > genealogy only was available at £79 and I was offered free postage > (£19.99) so I have ordered. > > I would not buy previously because it was too expensive for what I > required at £125 plus  £19.99 postage, I have put off testing with > them for 3 years. > > Mike Fisher in Droitwich UK

Hi Ann Ann thank you for posting this from the UK !!! I went to the site and it opened the eng-GB site and I saw that genealogy only was available at £79 and I was offered free postage (£19.99) so I have ordered. I would not buy previously because it was too expensive for what I required at £125 plus  £19.99 postage, I have put off testing with them for 3 years. Mike Fisher in Droitwich UK On 01/11/2017 10:42, Ann Turner wrote: > It's $69 for one kit or $49 per kit if you buy two or more (the best price > I ever remember seeing). The sale is good through November 23. Details are > on the home page http://23andme.com. > > Ann Turner >

Hello Mike, What I've done about the new chip is to take a test with Living DNA, and merged the raw results with my older raw results. This gives a file which seems to work well (on gedmatch genesis) both with old test matches and new test matches. Of course the disadvantage is that you have to pay for a new test. Paul Rakow ----- > From: Michael Fisher <[email protected]> > To: [email protected] > Subject: [DNA] DNA tests for family history > > > Hi All > > > Has the time come for two different types of DNA tests ? > One for those looking for family and ancestry and one for health and > lifestyle. > > The newer chips seem to not give the information family history > researchers need. > > Mike Fisher an older family history searcher in Droitwich UK > > > > ------------------------------ > > > Message: 2 > Date: Tue, 31 Oct 2017 06:33:11 -0700 > From: Ann Turner <[email protected]> > To: DNA Genealogy Mailing List <[email protected]> > I assume you're referring to the GSA chip used by LivingDNA and 23andMe > v5 (since August of this year). The chips themselves are perfectly fine > for matching and ancestry. The problem is trying to compare results with > people who have tested on older platforms. The overlap of SNP content is > too low to be reliable, although GEDmatch Genesis is experimenting with > different algorithms. The GSA chip may be the wave of the future. > > Ann Turner > > >

Hi Mike I also classify myself as an older researcher in the UK, having turned 70 this year. It is not really possible to dissect out DNA analytical results the way you might ideally like. You can only measure what is on the individual customised Chips each company makes. How you get each company's results onto a common platform is one challenge faced (GEDmatch, etc.). Interpreting those results is a separate set of questions. It is always pretty difficult to nail down your phrase "the information what family researchers need". That can vary quite a lot, depending on each person's previous family history and the countries from which their ancestors came. With autosomal DNA, you are always treading around in the general healthcare area, no matter what can be claimed by the DNA testing companies. Whether you want to invest any of your intellectual effort to go there, and to try to understand what they might claim, is a separate question. Apart from measuring the STR Repeats on the Y-Chromosome, any other DNA change might affect gene transcription. Most of those changes will have no appreciable or observable biological effect. But a small number might and can. We are very fortunate in England in having such a wealth of documentary resources before 1837, which can enable us to research events which are the envy of folk abroad. So what the English want from an autosomal DNA test can be different from what others want. I would point out that now there are about 100 DNA videos taken from Who Do You Think You Are and Genetic Genealogy Ireland, 2013-2017, covering all aspects of DNA testing. But if you are like my wife, and hardly ever watch YouTube, they will all pass you by. Brian -----Original Message----- From: GENEALOGY-DNA [mailto:[email protected]] On Behalf Of Michael Fisher Sent: 31 October 2017 13:25 To: [email protected] Subject: [DNA] DNA tests for family history Hi All Has the time come for two different types of DNA tests ? One for those looking for family and ancestry and one for health and lifestyle. The newer chips seem to not give the information family history researchers need. Mike Fisher an older family history searcher in Droitwich UK

That's the new regular price for the UK. The Ancestry only kits are also now available for Canada and some EU countries. https://cruwys.blogspot.com/2017/10/23andme-now-offers-ancestry-only-dna.html Ann Turner On Wed, Nov 1, 2017 at 6:08 AM, Michael Fisher <[email protected]> wrote: > Hi Ann > > Ann thank you for posting this from the UK !!! > > I went to the site and it opened the eng-GB site and I saw that genealogy > only was available at £79 and I was offered free postage (£19.99) so I have > ordered. > > I would not buy previously because it was too expensive for what I > required at £125 plus £19.99 postage, I have put off testing with them for > 3 years. > > Mike Fisher in Droitwich UK > > > > On 01/11/2017 10:42, Ann Turner wrote: > >> It's $69 for one kit or $49 per kit if you buy two or more (the best price >> I ever remember seeing). The sale is good through November 23. Details are >> on the home page http://23andme.com. >> >> Ann Turner >> >> > > ------------------------------- > To unsubscribe from the list, please send an email to > [email protected] with the word 'unsubscribe' without > the quotes in the subject and the body of the message

It's $69 for one kit or $49 per kit if you buy two or more (the best price I ever remember seeing). The sale is good through November 23. Details are on the home page http://23andme.com. Ann Turner

Hi All Has the time come for two different types of DNA tests ? One for those looking for family and ancestry and one for health and lifestyle. The newer chips seem to not give the information family history researchers need. Mike Fisher an older family history searcher in Droitwich UK

I assume you're referring to the GSA chip used by LivingDNA and 23andMe v5 (since August of this year). The chips themselves are perfectly fine for matching and ancestry. The problem is trying to compare results with people who have tested on older platforms. The overlap of SNP content is too low to be reliable, although GEDmatch Genesis is experimenting with different algorithms. The GSA chip may be the wave of the future. Ann Turner On Tue, Oct 31, 2017 at 6:25 AM, Michael Fisher <[email protected]> wrote: > Hi All > > Has the time come for two different types of DNA tests ? > One for those looking for family and ancestry and one for health and > lifestyle. > > The newer chips seem to not give the information family history > researchers need. > > Mike Fisher an older family history searcher in Droitwich UK > > ------------------------------- > To unsubscribe from the list, please send an email to > [email protected] with the word 'unsubscribe' without > the quotes in the subject and the body of the message >

Thank you so much for sharing, Dawn. I too am deeply into genealogy, on many lines, but at the end of the day I simply wanted to find my father, whom I had never met. I have found him, and I fortunately he is still alive, and has not one but two accounts on Facebook at the age of 79! We still have not met, but I feel so complete now... Thanks and regards, Stephanie Admin, Cobb DNA project Member #5587, Guild of One Name Studies On Mon, Oct 30, 2017 at 6:26 PM, D. Newman <[email protected]> wrote: > My father was born in 1932 in Center Line, Macomb County, Michigan. He was adopted within a few weeks. > > > > In 1987, I asked my father if I could research this mystery (he had no knowledge of his bio-family). After a considerable amount of research we determined the doctor who handled the adoption registered him to his adoptive family as though he was their natural born child. Thus, there are no legal records indicating he was even adopted let alone a record that indicates who is bio-parents are. After exploring a number of research threads my father and I came to nearly, but not quite, a full stop in research. > > > Unfortunately, my father died in 1993, but I kept the file going since I was now working on my mother's ancestry. Genealogy had turned into a major hobby for me. > > > Circa 2006 DNA tests started to become available to the general public. I took my first DNA test (mtDNA) through the National Geographic DNA Program. Years went by and more types of tests (y-DNA, mtDNA, atDNA, etc. ) became available and more people began to take them. My brother and I, and as many maternal relatives as I could convince to test, now have results across all three major testing companies (FamilyTreeDNA, AncestryDNA, & 23andme). During the process of testing, I discovered a cousin who isn't related to us like he should be (I didn't tell him), had a coworker discover a daughter and grandchildren he never knew existed (he and his family are happy), and helped another cousin identify her deceased bio-father's identity and living half-siblings (who are not so excited). > > > I was finding many matches to my mother's ancestry but none to my father's - until 2015. Then, several high level matches came in and then a few more, and, over time, I was able to put together family trees on all the DNA matches to piece it together. > > > Based on paper research, I believe in about June 1931 Jerome Van Loo (then aged 20) and Marie Miller (then aged 15) conceived a child (my father) born in March 1932; he was almost immediately put up for adoption. Jerome and Marie subsequently married on November 7, 1936 in Macomb County, Michigan and divorced on July 1, 1940 in Macomb County, Michigan. There is no record of them having additional children prior to or during their marriage. > > > Jerome Van Loo did not marry again. Marie Miller Van Loo married John Foguth, Jr. on November 18, 1944 (in Macomb County, Michigan). I have found no records indicating Jerome or Marie had any more children with any other people at any other point in their lives. > > > Based on the above information, it appears my father did not have any full or half siblings. Thus, an opportunity to test living descendants of full or half-siblings to my father does not exist. > > > In the summer of 2017, I went to Michigan to ask three men to do a y-DNA test to confirm if my research (that my father was a Van Loo) was correct. Two men agreed to help and in October 2017 the first result (a 67-marker y-DNA test) came in and showed that a male Van Loo was a perfect, and only, match to my brother. > > > Based on the results of the y-DNA test and several autosomal DNA tests from collateral members of the Van Loo and Miller families I believe I have successfully identified my father's birth parents as Jerome Van Loo and Marie Miller. The inability to prove bio-parents with 100% certainty (backed by science) is due to the absence of full or half-siblings who might have had descendants who could be tested to further confirm these findings. > > > For those continuing their own searches, remember, the name of the game is time and patience (and some money). It took 30 years and uncountable hours to put my father's puzzle together. For those still toiling away - Godspeed my friends - Godspeed. > > > Dawn Newman > > > ------------------------------- > To unsubscribe from the list, please send an email to [email protected] with the word 'unsubscribe' without the quotes in the subject and the body of the message

List And the 6th page of 40 results. Ian www.ianlogan.co.uk -------------------------------------- MF523041(Pamir) Peng Haplogroup H15a1a1 21-OCT-2017 T55C T57C A263G 309.1C 315.1C A750G A1438G A3565G A4769G T6253C A8860G C11143T T11152Y T11410C C14953T A15326G C16366T MF523042(Pamir) Peng Haplogroup H15a1a1 21-OCT-2017 T55C T57C A263G 309.1C 315.1C A750G A1438G A3565G A4769G T6253C A8860G C11143T T11152Y T11410C C14953T A15326G C16366T MF523043(Pamir) Peng Haplogroup HV18 21-OCT-2017 A263G 309.1C 315.1C A750G A1438G A2706G A4136G A4769G C7028T A8860G G9039A A15326G T16189C T16519C MF523044(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 A263G 315.1C A750G G951A C6173T C6854T A8860G T13095C A15326G C16292T C16354T MF523045(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 A263G 315.1C A750G G951A C6173T C6854T A8860G T13095C A15326G C16292T C16354T MF523046(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 A263G 315.1C A750G G951A C6173T C6854T A8860G T13095C A15326G C16292T C16354T MF523047(Pamir) Peng Haplogroup H41a 21-OCT-2017 C262T A263G 309.1C 315.1C A750G A1438G T3039Y A4769G G5460A T6392C A8860G T10124C G12630A A14118G A15326G G15617A G16274A MF523048(Pamir) Peng Haplogroup W3b 21-OCT-2017 A73G G143A A189G C194T T195C T199C T204C G207A A263G 315.1C G709A A750G T1243C T1406C A1438G G1664A A2706G A3505G A4769G G5046A G5460A C6584T C7028T G8251A A8860G G8994A C11674T G11719A A11947G T12414C C12705T G12923T C14766T A15326G G15884C C16223T C16287T C16292T T16519C MF523049(Pamir) Peng Haplogroup H2b 21-OCT-2017 T152C A263G 309.1C 315.1C A750G A4769G T8598C A8860G A13942G A15326G T16311C MF523050(Pamir) Peng Haplogroup H15a1a1 21-OCT-2017 T57C T204Y A263G 309.1C 315.1C A750G A1438G A4769G T6253C A8860G C11143T T11410C C14953T A15326G C16366T MF523051(Pamir) Peng Haplogroup U2e1h 21-OCT-2017 A73G T152C T217C A263G 309.1C 315.1C C340T A508G A750G A1438G A1811G A2706G A3720G A4769G A5390G T5426C G5460A C6045T T6152C C6548T C7028T A8860G G9139A A10876G A11467G G11719A T12297C A12308G G12372A T13020C T13734C C14766T T14783C A15326G A15907G A16051G G16129C T16189C T16362C T16519C MF523052(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 C64T A263G 315.1C A750G G951A C6173T C6854T A8860G T13095C A15326G G15497A C16354T MF523053(Pamir) Peng Haplogroup T1a1 21-OCT-2017 A73G T152C T195C A263G 315.1C G709A A750G A1438G G1888A A2706G T4216C A4769G A4917G C7028T G8697A A8860G G9145A T9899C T10463C A11251G T11465C G11719A C12633A C12906A G13368A A14128G C14766T G14905A A15326G C15452A A15607G G15928A T16126C A16163G C16186T T16189C C16294T T16519C MF523054(Pamir) Peng Haplogroup H6b2 21-OCT-2017 T239C A263G 309.1C 315.1C A750G A1438G A4769G A8860G G14040A A15326G C16186T A16300G T16325C T16362C A16482G MF523055(Pamir) Peng Haplogroup T2d2 21-OCT-2017 A73G A263G 315.1C G709A A750G A1438G G1888A A2706G T4216C A4769G A4917G G5471A C6445T C7028T G8697A A8860G C9431T T10463C A11251G G11719A A11812G T12408C T13260C G13368A A14233G G14323A A14605G C14766T G14905A A15326G C15452A A15607G G15928A T16086C C16104A T16126C C16292T C16294T C16296T MF523056(Pamir) Peng Haplogroup T2a1a 21-OCT-2017 A73G A263G 309.1C 315.1C G709A A750G A1438G G1888A A2706G T2850C T4216C A4769G A4917G T7022C C7028T G8697A A8860G T10463C A11251G G11719A A11812G G13368A T13965C A14233G A14687G C14766T G14905A A15326G C15452A A15607G G15928A T16126C C16294T C16296T T16519C MF523057(Pamir) Peng Haplogroup T2a1a 21-OCT-2017 A73G A263G 309.1C 315.1C G709A A750G A1438G G1888A A2706G T2850C T4216C A4769G A4917G T7022C C7028T G8697A A8860G T10463C A11251G G11719A A11812G G13368A T13965C A14233G A14687G C14766T G14905A A15326G C15452A A15607G G15928A T16126C C16294T C16296T T16519C MF523058(Pamir) Peng Haplogroup H5e1 21-OCT-2017 A263G 315.1C C456T 523.1C 523.2A A750G A1438G G3421A A4769G 5899.1C A8343G A8860G A8931G G12771A C13967T A14687G A15326G C16294T T16304C MF523059(Pamir) Peng Haplogroup U2e1h 21-OCT-2017 A73G T217C G228A A263G 309.1C 315.1C C340T A508G A750G A1438G A1811G A2706G A3720G C4032T A4769G A5390G T5426C C6045T T6152C C7028T A8860G A10876G A11467G G11719A A12308G G12372A T13020C T13734C C14766T A15326G A15907G A16051G G16129C G16145A A16183- 16188.1C 16193.1C A16235G T16362C T16519C MF523060(Pamir) Peng Haplogroup H2a1 21-OCT-2017 A263G 309.1C 315.1C A750G G951A A8860G T10256C A15326G C16193T C16354T T16519C MF523061(Pamir) Peng Haplogroup G1a1 21-OCT-2017 A73G C150T A263G 315.1C T489C G709A A750G A1438G A2706G A4769G A4833G T5108C C7028T C7867T T8200C A8701G A8860G A9041G T9540C A10398G C10400T T10873C G11719A C12705T G13145A G14569A C14766T T14783C G15043A G15301A G15323A A15326G G15497A A15860G C16223T T16325C T16362C T16519C MF523062(Pamir) Peng Haplogroup H2a1 21-OCT-2017 A263G 309.1C 315.1C A750G G951A A8860G T10256C A15326G C16193T C16354T T16519C MF523063(Pamir) Peng Haplogroup U2e1h 21-OCT-2017 A73G T217C G228A A263G 309.1C 315.1C C340T A508G A750G A1438G A1811G A2706G A3720G C4032T A4769G A5390G T5426C C6045T T6152C C7028T A8860G A10876G A11467G G11719A A12308G G12372A T13020C T13734C C14766T A15326G A15907G A16051G G16129C G16145A A16183- 16188.1C A16235G T16362C T16519C MF523064(Pamir) Peng Haplogroup U2e1h 21-OCT-2017 A73G T217C G228A A263G 309.1C 315.1C C340T A508G A750G A1438G A1811G A2706G A3720G C4032T A4769G A5390G T5426C C6045T T6152C C7028T A8860G A10876G A11467G G11719A A12308G G12372A T13020C T13734C C14766T A15326G A15907G A16051G G16129C G16145A A16183- 16188.1C 16193.1C A16235G T16362C T16519C MF523065(Pamir) Peng Haplogroup J1b6 21-OCT-2017 A73G A263G C295T 315.1C C462T T489C A750G A1438G A2706G G3010A T4216C A4769G A5501G A6218G C7028T G8269A A8860G A10398G A11251G G11719A A12612G G13708A C14766T G15314A A15326G C15452A C16069T T16126C G16145A A16163G C16222T C16261T C16296T G16526A MF523066(Pamir) Peng Haplogroup H5a1 21-OCT-2017 A263G 309.1C 315.1C C456T C522- A523- A750G A1438G T3338C T4336C A4769G A8860G C9020T A10634G A15326G C15833T T16304C MF523067(Pamir) Peng Haplogroup HV 21-OCT-2017 G185A A263G 309.1C 315.1C A750G A1438G A2706G T3394C A4769G C7028T A8860G A11566G T15213C A15326G A15937C C15939T T15944- G16129A T16311C MF523068(Pamir) Peng Haplogroup U5a1b 21-OCT-2017 A73G A263G 309.1C 315.1C A750G A1438G A2706G T3197C A4769G C7028T A8860G G9477A A9667G A11467G G11719A A12308G G12372A T13617C C14766T A14793G A15218G A15326G C16192T C16256T C16270T A16399G MF523069(Pamir) Peng Haplogroup A1a 21-OCT-2017 A73G T152C A235G A263G 309.1C 315.1C C522- A523- A663G A750G A1438G G1442A G1462A G1664A A1736G A2706G T4248C A4769G A4824G C7028T C8794T A8860G G9713A G11719A C12705T C14766T C15049T A15326G C16223T T16249C C16290T G16319A T16362C MF523070(Pamir) Peng Haplogroup K1a12a 21-OCT-2017 A73G T204C G207A A263G 309.1C 315.1C C497T A750G T1189C A1438G A1811G A2220G A2706G A3480G A4769G T5196C G5460A C7028T C7229T A8860G G9055A T9698C A10398G A10550G T11299C A11467G G11719A A11923G A12308G G12372A C12813T C14167T T14182C C14766T T14798C A15326G C15391G A15799G T16172C T16224C C16301T T16311C T16519C MF523071(Pamir) Peng Haplogroup U5a2b 21-OCT-2017 A73G A263G 309.1C 315.1C A750G A1438G A2706G T3197C A4769G C7028T A8860G G9477A G9548A G10685A A11467G G11719A A12308G G12372A C13547T T13617C G14323A C14766T A14793G A15326G C16192T C16256T C16270T G16274A T16311C G16526A MF523072(Pamir) Peng Haplogroup C4a1a 21-OCT-2017 A73G T195C A249- A263G 309.1C 315.1C T489C A750G A1438G C1715T 2232.1A A2706G T3552A A4715G A4769G C5883Y G6026A C7028T C7196A T7999C G8584A A8701G A8860G T9540C A9545G A10398G C10400T T10873C G11719A G11914A G11969A A12672G C12705T A13263G A13470G T13635C T14318C C14766T T14783C A14878G G15043A T15204C G15301A A15326G A15487T T15968C G16129A C16223T T16298C C16327T T16519C MF523073(Pamir) Peng Haplogroup N1a1b1 21-OCT-2017 A73G G143A T199C T250C A263G 309.1C 315.1C 573.1C T710C A750G A1438G G1719A A2706G A4529T A4769G T6392C C7028T G8251A A8860G T10238C A10398G T10790C G11719A G12501A C12705T A13780G C14766T G15043A A15326G A15924G C16223T G16274A C16295T A16309G G16319A G16391A A16482G T16519C MF523074(Pamir) Peng Haplogroup U7 21-OCT-2017 A73G T152C T195C A263G 309.1C 315.1C C522- A523- A750G T980C A1438G A1811G A2706G C3741T A4769G T5291C C5360T C7028T G7337A C8137T G8587A C8684T A8860G G9266A A9852G C10142T A11467G G11719A A12308G G12372A G12618A T13500C G14569A C14766T A15326G C15364T T15479C C16223T A16309G A16318T T16519C MF523075(Pamir) Peng Haplogroup N1a1b1 21-OCT-2017 A73G G143A T199C T250C A263G 309.1C 315.1C 573.1C T710C A750G A1438G G1719A A2706G A4529T A4769G T6392C C7028T G8251A A8860G T10238C A10398G T10790C G11719A G12501A C12705T T13752C A13780G C14766T G15043A A15326G A15924G C16223T G16274A C16295T A16309G G16319A G16391A A16482G T16519C MF523076(Pamir) Peng Haplogroup U4b2 21-OCT-2017 A73G T195C A263G 309.1C 315.1C G499A 523.1C 523.2A A750G A1438G A1811G A2706G T4646C A4769G T5999C A6047G C7028T T7705C A8638G A8860G C11332T A11467G G11719A A12308G G12372A C14620T C14766T A15326G T15693C T16136C T16356C MF523077(Pamir) Peng Haplogroup U4a1 21-OCT-2017 A73G T152C T195C A263G 309.1C 315.1C G499A A750G A1438G A1811G A2706G T4646C A4769G T5999C A6047G C7028T G8392A C8818T A8860G C9518T C11332T A11467G G11719A A12308G G12372A A12937G T14502C C14620T C14766T A15326G G15346A T15693C C16134T T16356C A16399G T16519C MF523078(Pamir) Peng Haplogroup G3a1 21-OCT-2017 A16T A73G G143A C150T A263G 309.1C 315.1C T489C G709A A750G A1438G A2706G A4769G A4833G T5108C C7028T A8701G A8860G T9540C A10398G C10400T T10873C G11719A G11914A C12705T G14569A C14766T T14783C G15043A G15301A A15326G A15746G A16215G C16223T C16225T G16274A MF523079(Pamir) Peng Haplogroup G1a1 21-OCT-2017 A73G C150T T152C A263G 309.1C 315.1C T489C G709A A750G A1438G A2706G A4769G A4833G T5108C C7028T C7867T T8200C A8701G A8860G A9041G T9540C A10398G C10400T T10873C G11719A C12705T G13145A G14569A C14766T T14783C G15043A G15301A G15323A A15326G G15497A A15860G C16223T T16325C T16362C T16519C MF523080(Pamir) Peng Haplogroup H6b2 21-OCT-2017 T239C A263G 309.1C 315.1C A750G A1438G T3766C A4769G T7749Y A8860G G14040A A15326G C16186T A16300G T16325C T16362C A16482G

Thanks, Jim. That’s very helpful, and very reassuring. Neil > Date: Sat, 28 Oct 2017 21:40:13 -0400 > From: Jim Bartlett <[email protected]> > To: <[email protected]> > Subject: [DNA] FTDNA Triangulator and Louis Kessler?s Double Match > Triangulator > > Neil > > The FTDNA Triangulator does have the ability to compare your Matches to confirm 3-way Triangulation - so it should be more accurate. But it?s like 99.9% accurate vs just 99% with DMT. My point here is that both methods, or GEDmatch Tier 1 Triangulation, 23andMe ICW+Yes, and even FTDNA ICW+Overlap methods will result in very nearly the same result: Triangulated Groups (TGs). Any errors will be very small. And if you follow the concept of Genealogy Triangulation - and get several Matches in a TG to agree on the same ancestral line... well - what?s not to like? > > We have restated many times that a single CA (Common Ancestor), even in a TG, means a ?clue? - it?s not by any stretch a ?proof?. > > So my recommendation is to form TGs by whatever method works for you. And, when using atDNA, always be open to adjustment. > > At the end of the day, each shared IBD segment has to be on your paternal chromosome or your maternal chromosome. It?s hard to mix these up with any TG method. > > Jim Bartlett - atDNA blog: www.segmentology.org > >> On Oct 26, 2017, at 11:05 AM, Neil Story <[email protected]> wrote: >> >> I?m not clear on whether the FTDNA Triangulator does more, less, or something different than Louis Kessler?s Double Match Triangulator (http://doublematchtriangulator.com). I have used and like the latter, and know that it doesn?t have a limit on the number of matches, and that it works with GEDmatch and 23andMe as well. Does anyone have insight on the relative merits of the two? Thank you. >> >> Neil Story >

My father was born in 1932 in Center Line, Macomb County, Michigan. He was adopted within a few weeks. In 1987, I asked my father if I could research this mystery (he had no knowledge of his bio-family). After a considerable amount of research we determined the doctor who handled the adoption registered him to his adoptive family as though he was their natural born child. Thus, there are no legal records indicating he was even adopted let alone a record that indicates who is bio-parents are. After exploring a number of research threads my father and I came to nearly, but not quite, a full stop in research. Unfortunately, my father died in 1993, but I kept the file going since I was now working on my mother's ancestry. Genealogy had turned into a major hobby for me. Circa 2006 DNA tests started to become available to the general public. I took my first DNA test (mtDNA) through the National Geographic DNA Program. Years went by and more types of tests (y-DNA, mtDNA, atDNA, etc. ) became available and more people began to take them. My brother and I, and as many maternal relatives as I could convince to test, now have results across all three major testing companies (FamilyTreeDNA, AncestryDNA, & 23andme). During the process of testing, I discovered a cousin who isn't related to us like he should be (I didn't tell him), had a coworker discover a daughter and grandchildren he never knew existed (he and his family are happy), and helped another cousin identify her deceased bio-father's identity and living half-siblings (who are not so excited). I was finding many matches to my mother's ancestry but none to my father's - until 2015. Then, several high level matches came in and then a few more, and, over time, I was able to put together family trees on all the DNA matches to piece it together. Based on paper research, I believe in about June 1931 Jerome Van Loo (then aged 20) and Marie Miller (then aged 15) conceived a child (my father) born in March 1932; he was almost immediately put up for adoption. Jerome and Marie subsequently married on November 7, 1936 in Macomb County, Michigan and divorced on July 1, 1940 in Macomb County, Michigan. There is no record of them having additional children prior to or during their marriage. Jerome Van Loo did not marry again. Marie Miller Van Loo married John Foguth, Jr. on November 18, 1944 (in Macomb County, Michigan). I have found no records indicating Jerome or Marie had any more children with any other people at any other point in their lives. Based on the above information, it appears my father did not have any full or half siblings. Thus, an opportunity to test living descendants of full or half-siblings to my father does not exist. In the summer of 2017, I went to Michigan to ask three men to do a y-DNA test to confirm if my research (that my father was a Van Loo) was correct. Two men agreed to help and in October 2017 the first result (a 67-marker y-DNA test) came in and showed that a male Van Loo was a perfect, and only, match to my brother. Based on the results of the y-DNA test and several autosomal DNA tests from collateral members of the Van Loo and Miller families I believe I have successfully identified my father's birth parents as Jerome Van Loo and Marie Miller. The inability to prove bio-parents with 100% certainty (backed by science) is due to the absence of full or half-siblings who might have had descendants who could be tested to further confirm these findings. For those continuing their own searches, remember, the name of the game is time and patience (and some money). It took 30 years and uncountable hours to put my father's puzzle together. For those still toiling away - Godspeed my friends - Godspeed. Dawn Newman

List And the final page of this set of 382 sequences. All the pages are available on my website at: http://www.ianlogan.co.uk/lists/peng2017-1.htm http://www.ianlogan.co.uk/lists/peng2017-2.htm http://www.ianlogan.co.uk/lists/peng2017-3.htm http://www.ianlogan.co.uk/lists/peng2017-4.htm http://www.ianlogan.co.uk/lists/peng2017-5.htm http://www.ianlogan.co.uk/lists/peng2017-6.htm http://www.ianlogan.co.uk/lists/peng2017-7.htm http://www.ianlogan.co.uk/lists/peng2017-8.htm http://www.ianlogan.co.uk/lists/peng2017-9.htm http://www.ianlogan.co.uk/lists/peng2017-10.htm And the sequences are also on the 'Checker' program at: http://www.ianlogan.co.uk/checker/checker8.htm (but delete the spurious 'N' from the FASTA file when using this program). Ian www.ianlogan.co.uk --------------------------------------- //10 MF523201(Pamir) Peng Haplogroup J1d 21-OCT-2017 A73G T152C A263G C295T 309.1C 315.1C C462T T489C A750G A1438G A2706G G3010A T4216C A4769G C7028T G7789A A7963G A8860G T10322C A10398G A11251G G11719A C12123T A12612G G13708A A14203G C14766T A15326G C15452A T15672C A16051G C16069T T16126C C16193T T16519C MF523202(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 A263G 309.1C 315.1C A750G G951A C6173T A8860G T13095C A15326G C16354T MF523203(Pamir) Peng Haplogroup H5e1 21-OCT-2017 A263G 309.1C 315.1C C456T 523.1C 523.2A 523.3C 523.4A A750G A1438G G3421A A4769G 5899.1C A8343G A8860G G12771A A14687G A15326G C16294T T16304C MF523204(Pamir) Peng Haplogroup T1a1 21-OCT-2017 A73G T152C T195C A263G 309.1C 315.1C G709A A750G A1438G G1888A A2706G T4216C A4769G A4917G C7028T G8697A A8860G G9612C T9899C T10463C A11251G G11719A C12633A G13368A C14766T G14905A A15326G C15452A A15607G G15928A T16126C A16163G C16186T T16189C C16294T T16519C MF523205(Pamir) Peng Haplogroup C4a1a 21-OCT-2017 A73G T195C A249- A263G 309.1C 315.1C T489C A750G A1438G C1715T 2232.1A A2706G T3552A A4715G A4769G G6026A C7028T C7196A T7999C G8584A A8701G A8860G T9540C A9545G A10398G C10400T T10873C G11719A G11914A G11969A A12672G C12705T A13263G A13470G T13635C T14318C C14766T T14783C A14878G G15043A T15204C G15301A A15326G A15487T T15968C G16129A C16223T T16298C C16327T T16519C MF523206(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 C150T T152Y A263G 309.1C 315.1C A750G G951A C6173T A8860G T13095C A15326G C16354T MF523207(Pamir) Peng Haplogroup H14a-T146C 21-OCT-2017 T146C A263G 309.1C 315.1C A750G A1438G C3541T T4248C A4769G T7645C C7777T A8860G A10217G T15097C A15326G A16203G C16256T T16352C MF523208(Pamir) Peng Haplogroup H 21-OCT-2017 A263G 309.1C 315.1C G709A A714G A750G A1438G A4769G T8516C A8860G C9027T G12501A A12900G A15326G C15439T T16519C MF523209(Pamir) Peng Haplogroup T1a 21-OCT-2017 A73G A263G 309.1C 315.1C G709A A750G A1438G G1888A A2706G T4216C A4769G A4917G C7028T A7930G G8697A A8860G T9899C T10463C A11251G G11719A C12633A G13368A C14766T G14905A A14914G A15326G C15452A A15607G G15928A T16126C A16163G C16186T T16189C C16294T T16519C MF523210(Pamir) Peng Haplogroup W3b 21-OCT-2017 A73G G143A A189G C194T T195C T199C T204C G207A A263G 309.1C 315.1C G709A A750G T1243C T1406C A1438G G1664A A2706G A3505G A4769G G5046A G5460A C7028T G8251A A8860G G8994A C11674T G11719A A11947G T12414C C12705T G12923T C14766T A15326G G15884C C16223T C16292T T16519C MF523211(Pamir) Peng Haplogroup K1b2a 21-OCT-2017 A73G T146C T195C A263G 309.1C 315.1C A750G T1189C A1438G A1811G A2706G A3480G A4769G G5913A C7028T A8860G G9055A T9698C A10398G A10550G T11299C A11467G G11719A A12308G G12372A T12738G G12771A C14167T G14569A C14766T T14798C A15326G C15760T T16224C T16311C C16320T T16519C MF523212(Pamir) Peng Haplogroup W3b 21-OCT-2017 A73G G143A A189G C194T T195C T199C T204C G207A A263G 309.1C 315.1C G709A A750G T1243C T1406C A1438G G1664A A2706G A3505G A4769G G5046A G5460A C7028T G8251A A8860G G8994A C11674T G11719A A11947G T12414C C12705T G12923T C14766T A15326G G15884C C16223T C16292T T16519C MF523213(Pamir) Peng Haplogroup U4b2 21-OCT-2017 A73G T195C A263G 309.1C 315.1C G499A A750G A1438G A1811G A2706G T4646C A4769G T5999C A6047G C7028T T7705C A8638G A8860G C11332T A11467G G11719A A12308G G12372A C14620T C14766T A15326G T15693C T15940C T16136C T16356C T16519C MF523214(Pamir) Peng Haplogroup U7 21-OCT-2017 A73G T152C T195C A263G 309.1C 315.1C C522- A523- A750G T980C A1438G A1811G A2706G C3741T A4769G T5291C C5360T C7028T G7337A C8137T G8587A C8684T A8860G G9266A A9852G C10142T A11467G G11719A A12308G G12372A G12618A T13500C G14569A C14766T A15326G C15364T T15479C C16223T A16309G A16318T T16519C MF523215(Pamir) Peng Haplogroup J1b1b1 21-OCT-2017 A73G A263G C271T C295T 309.1C 315.1C C462T T489C G513A C522- A523- A750G A1438G A2706G G3010A T4216C A4769G A4913C G5460A C7028T G8269A A8860G A10398G T10410A A11251G G11719A G12501A A12612G G13708A T13879C C14668T C14766T A15326G C15452A G15884A C16069T T16126C T16136C G16145A C16218T A16258C C16261T T16519C MF523216(Pamir) Peng Haplogroup H5b 21-OCT-2017 309.1C 315.1C C456T A750G A1438G A4769G G5471A G7897A A8860G A15326G T16519C MF523217(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 A263G 309.1C 315.1C A750G G951A G3591A C6173T A8860G G9055A T13095C A15326G T16311C C16354T MF523218(Pamir) Peng Haplogroup K1a12a 21-OCT-2017 A73G T204C G207A A263G 309.1C 315.1C C497T A750G T1189C A1438G A1811G A2220G A2706G A3480G A4769G T5196C G5460A C7028T C7229T A8860G G9055A T9698C A10398G A10550G T11299C A11467G G11719A A11923G A12308G G12372A C12813T C14167T T14182C C14766T T14798C A15326G C15391G A15799G T16172C T16224C C16301T T16311C T16519C MF523219(Pamir) Peng Haplogroup M30 21-OCT-2017 A73G T195A A263G 309.1C 315.1C T489C C522- A523- A750G A1438G A2706G A4769G C7028T A8701G A8860G T9540C A10398G C10400T T10873C T11437C G11719A G12007A C12705T C14766T T14783C G15043A G15301A A15326G G15431A C16223T G16274A T16519C MF523220(Pamir) Peng Haplogroup R0a-60.1T 21-OCT-2017 T58C 60.1T C64T A263G 309.1C 315.1C G709A A750G A1438G T2442C A2706G T3456C T3847C A4769G A5180G G5417A G6915A C7028T T7302C C8522T T8618C A8860G A8938G C9785T T11482C C13188T C14766T A15326G T16362C T16519C MF523221(Pamir) Peng Haplogroup H6b2 21-OCT-2017 T239C A263G 309.1C 315.1C A750G A1438G A4769G A8860G G14040A A15326G C16186T A16300G T16325C T16362C A16482G MF523222(Pamir) Peng Haplogroup T1a1 21-OCT-2017 A73G T152C T195C A263G 309.1C 315.1C G709A A750G A1438G G1888A A2706G T4216C A4769G A4917G C7028T G8697A A8860G G9612C T9899C T10463C A11251G G11719A C12633A G13368A C14766T G14905A A15326G C15452A A15607G G15928A T16126C A16163G C16186T T16189C C16294T T16519C

List And the 8th page of 40 results (out of 382). Ian www.ianlogan.co.uk ---------------------------------------- MF523121(Pamir) Peng Haplogroup M7c1 21-OCT-2017 A73G T146C T152C T195C C198T T199C A263G 309.1C 315.1C T489C A750G A929T A1438G A2706G G3277A G3391A C4071T T4216C A4769G C4850T T5442C C6455T C7028T A8701G A8860G T9540C T9824C A10398G C10400T T10873C C11665T G11719A T12091C C12705T C14684T C14766T T14783C G15043A G15301A A15326G A15363G C16192T C16223T T16224C C16295T T16519C MF523122(Pamir) Peng Haplogroup J2b1a2a 21-OCT-2017 A73G C150T T152C A235G A263G C295T 309.1C 315.1C T489C A750G A1438G A2706G T4216C A4769G C5633T T6216C C6893T C7028T C7476T A8860G A8962G G10172A A10398G A11251G G11719A A12612G G13708A G13968A C14766T A15212G G15257A A15326G C15452A G15812A C16069T T16126C C16193T C16278T C16295T T16519C MF523123(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 A263G 309.1C 315.1C A750G G951A C6173T A8860G T13095C A15326G C16354T MF523124(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 A263G 309.1C 315.1C A750G G951A C6173T A8860G T13095C A15326G C16354T MF523125(Pamir) Peng Haplogroup X2 21-OCT-2017 A73G A153G T195C G225A A263G 309.1C 315.1C A750G A1438G G1719A A2706G A4769G T6221C C6371T C7028T A8860G C9815T G11719A C12705T A13681G A13966G T14470C G14544A C14766T A15326G G16129A T16189C C16223T C16278T C16344T T16519C MF523126(Pamir) Peng Haplogroup J2b1a2a 21-OCT-2017 A73G C150T T152C A235G A263G C295T 309.1C 315.1C T489C A750G A1438G A2706G T4216C A4769G C5633T T6216C C6893T C7028T C7476T A8860G A8962G G10172A A10398G A11251G G11719A A12612G G13708A G13968A C14766T A15212G G15257A A15326G C15452A G15812A C16069T T16126C C16193T C16278T C16295Y T16519C MF523127(Pamir) Peng Haplogroup U2e1h 21-OCT-2017 A73G T217C G228A A263G 309.1C 315.1C C340T A508G A750G A1438G A1811G A2706G A3720G A4769G A5390G T5426C C6045T T6152C C7028T C7996T A8860G A10876G A11467G G11719A A12308G G12372A T13020C T13734C C14766T A15326G A15907G A16051G G16129C A16183- 16188.1C T16362C T16519C MF523128(Pamir) Peng Haplogroup N1a1b 21-OCT-2017 A73G T199C T204C T250C A263G 309.1C 315.1C 455.1T T471C 573.1C A750G A1438G G1719A A2706G G3531A A4529T A4769G T6227C G6734A C7028T G8251A A8860G G9966A T10034C T10238C A10398G A11020G G11719A G12501A C12705T A13780G C14766T G15043A A15326G A15924G T16189C C16223T C16256T T16311C G16391A T16519C MF523129(Pamir) Peng Haplogroup M65a 21-OCT-2017 A73G A263G 309.1C 315.1C T489C C511T A750G A1438G A2706G A4769G A4916G C7028T A8701G A8860G A9254G T9540C A10398G C10400T T10873C G11719A G12007A C12705T A13651G G14569A C14766T T14783C G15043A G15301A A15326G A16289G T16519C MF523130(Pamir) Peng Haplogroup K1b2a 21-OCT-2017 A73G T146C T195C A263G 309.1C 315.1C 523.1C 523.2A 523.3C 523.4A A750G T1189C A1438G A1811G A2706G A3480G A4769G G5913A C7028T A8860G G9055A T9698C A10398G A10550G T11299C A11467G G11719A A12308G G12372A T12738G G12771A C14167T G14569A C14766T T14798C A15326G C15760T T16224C T16311C C16320T T16519C MF523131(Pamir) Peng Haplogroup D4s 21-OCT-2017 A73G T199C A263G 309.1C 315.1C T489C A750G A813G A1438G A2706G G3010A A4769G C4883T C5178A C7028T C8414T A8701G A8860G T9540C A10398G C10400T T10873C G11719A C12705T C14668T C14766T T14783C G15043A G15301A A15326G G15734A G16145A C16223T C16295T T16362C T16519C MF523132(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 A263G 309.1C 315.1C A750G G951A C6173T A8860G T13095C A15326G C16354T MF523133(Pamir) Peng Haplogroup C4-T152C 21-OCT-2017 A73G T152C A249- A263G 309.1C 315.1C T489C A750G A1438G A2706G T3552A A4715G T4742C A4769G G6026A C7028T C7196A G8584A T8602C A8701G A8860G C9102A T9540C A9545G G9966A A10398G C10400T T10873C G11719A G11914A G11969A C12705T A13263G T14318C G14384A C14766T T14783C G15043A T15204C G15301A A15326G A15487T C16223T T16297C T16298C C16301T C16327T T16519C MF523134(Pamir) Peng Haplogroup U2e1h 21-OCT-2017 A73G T217C G228A A263G 309.1C 315.1C C340T A508G 523.1C 523.2A A750G A1438G A1811G A2706G A3720G C4032T A4769G A5390G T5426C C6045T T6152C C7028T A8860G A10876G A11467G G11719A A12308G G12372A T13020C T13734C C14766T A15326G A15907G A16051G G16129C G16145A A16183- 16188.1C A16235G T16362C T16519C MF523135(Pamir) Peng Haplogroup H2a1a 21-OCT-2017 A263G 309.1C 315.1C A750G G951A C6173T A8860G T13095C A15326G C16354T MF523136(Pamir) Peng Haplogroup M3a1-T204C 21-OCT-2017 A73G T204C T217C A263G 309.1C 315.1C T482C T489C A750G A1438G A2706G G4580A T4703C A4769G C7028T A8701G A8860G T9540C A10398G C10400T C10845T T10873C G11719A C12705T C14766T T14783C G15043A G15301A A15326G G15884A T16126C C16223T T16311C T16519C MF523137(Pamir) Peng Haplogroup J1b1b1 21-OCT-2017 A73G G185A A263G C271T C295T 309.1C 315.1C C462T T489C C522- A523- A750G A1438G A2706G G3010A T4216C A4769G G5460A C7028T G8269A A8860G A10398G T10410A A11251G G11719A A12612G G13708A T13879C C14766T A15326G C15452A C16069T T16126C G16145A C16261T A16269G T16311C T16519C MF523138(Pamir) Peng Haplogroup B4c1a 21-OCT-2017 A73G T146C T152C A214G A263G 309.1C 315.1C A368G G709A A750G T1119C A1438G A2706G C3497T G3745A G3918A A4769G C7028T C8281- C8282- C8283- C8284- C8285- T8286- C8287- T8288- A8289- A8860G G10310A T10790C G11377A G11719A G12406A C14766T A15326G G15346A A16182- A16183- T16189C 16193.1C 16193.2C T16217C MF523139(Pamir) Peng Haplogroup C4a1a-T195C 21-OCT-2017 A73G T195C A249- A263G 309.1C 315.1C T489C A750G A1438G C1715T 2232.1A A2706G T3552A A4715G A4769G G6026A C7028T C7196A T7999C G8584A A8701G A8860G T9540C A9545G A10398G C10400T T10873C G11719A G11914A G11969A A12672G C12705T A13263G A13470G T13635C T14318C C14766T T14783C A14878G G15043A T15204C G15301A A15326G A15487T T15968C G16129A C16223T T16298C C16327T T16519C MF523140(Pamir) Peng Haplogroup U5a1a1 21-OCT-2017 A73G A263G 309.1C 315.1C A750G A1438G T1700C A2706G T3197C G4541R A4769G T4772Y T5495C A6509G C7028T A8860G G9477A A11467G G11719A A12308G G12372A T13617C C14766T A14793G A15218G A15326G A15924G T16093C C16256T C16270T A16399G T16519C MF523141(Pamir) Peng Haplogroup H6a1a 21-OCT-2017 T239C A263G 309.1C 315.1C A750G A1438G G3915A A4340G A4727G A4769G A8860G G9380A T11253C A15326G T16362C MF523142(Pamir) Peng Haplogroup U4b2 21-OCT-2017 A73G T195C A263G 309.1C 315.1C G499A 523.1C 523.2A A750G A1438G A1811G A2706G T4646C A4769G T5999C A6047G C7028T T7705C A8638G A8860G C11332T A11467G G11719A A12308G G12372A C14620T C14766T A15326G T15693C T16136C T16356C MF523143(Pamir) Peng Haplogroup T1a1 21-OCT-2017 C64T A73G T152C T195C A263G 309.1C 315.1C G709A A750G A1438G G1888A A2706G T4216C A4769G A4917G C7028T A7729G G8697A A8860G T9899C T10463C A11251G G11719A C12633A G13368A C14766T G14905A A15326G C15452A A15607G G15928A T16126C A16163G C16186T T16189C C16294T T16519C MF523144(Pamir) Peng Haplogroup J1b1a1 21-OCT-2017 A73G C242T A263G C295T 309.1C 315.1C C462T T489C A750G A1438G T2158C A2706G G3010A T4204C T4216C A4769G G5460A T6620C C7028T G8269A G8557A A8860G A10398G C10654T A11251G G11719A G12007A A12612G T13641Y G13708A T13879C A13935G C14766T A15326G C15452A C16069T T16126C G16145A T16172C C16222T C16261T T16519C MF523145(Pamir) Peng Haplogroup J1d 21-OCT-2017 A73G T152C A263G C295T 309.1C 315.1C C462T T489C A750G A1438G A2706G G3010A T4216C A4769G C7028T G7789A A7963G A8860G A10398G A11251G G11719A A12612G G13708A C14766T G15314A A15326G C15452A T15530Y C16069T T16126C A16241G T16311Y T16519C MF523146(Pamir) Peng Haplogroup U7a3b2c 21-OCT-2017 A73G C151T T152C G207A A263G 309.1C 315.1C C522- A523- A750G T980C A1438G A1811G A2706G C3741T G3834A A4529G A4769G C5360T C7028T C8137T C8684T A8860G C10142T A11467G G11719A A12308G G12372A G12618A T13500C T14218C G14569A C14766T T15109C A15326G A16207G A16309G A16318T T16519C MF523147(Pamir) Peng Haplogroup U2b2 21-OCT-2017 A73G T146C T152C A153G T195C A234G A263G 309.1C 315.1C A750G A1438G A1811G G1888A A4317G A4769G A5186T G5773A C7028T A8860G C9094T A9614G A11467G G11719A C12106T A12308G G12372A G12406A T12793C G13194A T13656C C14766T C15049T A15326G G15930A A16051G T16209C C16239T T16311C T16352C C16353T MF523148(Pamir) Peng Haplogroup U2b2 21-OCT-2017 A73G T146C T152C A153G T195C A234G A263G 309.1C 315.1C A750G A1438G A1811G G1888A A4317G A4769G A5186T G5773A C7028T A8860G C9094T A9614G A11467G G11719A C12106T A12308G G12372A G12406A T12793C G13194A T13656C C14766T C15049T A15326G G15930A A16051G T16209C C16239T T16311C T16352C C16353T MF523149(Pamir) Peng Haplogroup U3 21-OCT-2017 A73G C150T A200G A263G 309.1C 315.1C A750G A1438G A1811G G2140A A2706G A4769G T6965C C7028T A7394G T8542C A8860G T9656C A11467G G11719A A12308G G12372A A14139G C14766T A15326G T15454C C16270T A16343G MF523150(Pamir) Peng Haplogroup X2p 21-OCT-2017 A73G A153G T195C A263G 309.1C 315.1C A750G A1438G G1719A A2706G A4769G T6221C G6260A C6371T C7028T C7109T C8414T A8860G G11719A G11887A C12705T A12810G A13966G T14470C C14766T A15326G T16189C C16223T C16278T T16519C MF523151(Pamir) Peng Haplogroup U4b1a1a1 21-OCT-2017 A73G T195C A263G 309.1C 315.1C G499A G709A A750G A1438G A1811G T2083C A2706G A3672G T4646C A4769G T5528C T5999C A6047G C7028T T7705C A8642G A8860G C11332T T11339C A11467G G11719A G11914A T12297C A12308G G12372A C14620T C14766T A15326G T15693C C15789T T16356C T16362C T16519C MF523152(Pamir) Peng Haplogroup U5b2a1 21-OCT-2017 A73G C150T A263G 309.1C 315.1C A750G A1438G C1721T A2706G T3197C A4732G A4769G T5918C C6410A C7028T A7768G A8860G A8982G G9477A A11467G G11719A A12308G G12372A T13617C A13637G T14182C G14323A C14766T A15326G T16189C MF523153(Pamir) Peng Haplogroup M3a1-T204C 21-OCT-2017 A73G T204C A263G 309.1C 315.1C T482C T489C A750G A1438G A2706G G4580A T4703C A4769G C7028T A8701G A8860G A9041G C9320G T9540C A10398G C10400T C10845T T10873C G11719A G11778A G11914A G12622A C12705T C14766T T14783C G15043A G15301A A15326G T16126C C16223T T16519C MF523154(Pamir) Peng Haplogroup J1c2o 21-OCT-2017 A73G G185A A188G G228A A263G C295T 309.1C 315.1C C462T T489C A750G A1438G A2706G G3010A T4216C A4769G C7028T A8860G A10398G A11251G G11719A A12612G G13708A C14766T T14798C A15326G C15452A C16069T T16126C A16163G T16519C MF523155(Pamir) Peng Haplogroup B4a1c4 21-OCT-2017 A73G T146C A263G 309.1C 315.1C C522- A523- G709A A750G A1438G A2706G A4769G T5465C C7028T C8281- C8282- C8283- C8284- C8285- T8286- C8287- T8288- A8289- T8837C A8860G G9123A T10238C G11719A A12904G C14766T A15326G C15580T T16093C G16145A A16182- A16183- T16189C 16193.1C 16193.2C T16217C C16261T C16296- C16344T T16519C MF523156(Pamir) Peng Haplogroup HV2 21-OCT-2017 A73G T152C A263G 315.1C G499A A750G A1438G A2706G C3311T A4562G A4615G A4769G 5899.1C C7028T T8843C A8860G T12408C T12681C G13708A A15326G C16173T T16217C C16256T T16519C MF523157(Pamir) Peng Haplogroup R2-T13500C 21-OCT-2017 A73G T152C A263G 309.1C 315.1C A750G A1438G A2706G A2833G T4216C T5964C C7028T T7657C T8143C G8251A T8473C A8860G G9932A G10685A G11719A A12654G T13500C G14305A C14766T A15326G C16071T C16176T T16362C T16519C MF523158(Pamir) Peng Haplogroup K1a12a 21-OCT-2017 A73G T204C G207A A263G 309.1C 315.1C C497T 573.1C A750G T1189C A1438G A1811G A2220G A2706G A3480G A4769G G5460A C7028T C7229T A8860G G9055A T9698C A10398G A10550G T11299C A11467G G11719A A11923G A12308G G12372A C12813T C14167T G14569A C14766T T14798C A15326G C15391G A15799G T16093C T16172C T16224C C16301T T16311C T16519C MF523159(Pamir) Peng Haplogroup H5e1 21-OCT-2017 A263G 309.1C 315.1C C456T 523.1C 523.2A 523.3C 523.4A A750G A1438G G3421A A4769G 5899.1C A8343G A8860G G12771A A14687G A15326G C16294T T16304C MF523160(Pamir) Peng Haplogroup H1 21-OCT-2017 A263G 309.1C 315.1C G709A A750G A1438G G3010A C3556T A4769G A8860G T10370C A15326G T16519C

One of my messages sent on Thursday was returned yesterday; first copy of this message sent yesterday has not appeared. Lindsey -----Original Message----- From: Lindsey Britton <[email protected]> To: genealogy-dna <[email protected]> Sent: Sat, Oct 28, 2017 4:00 pm Subject: Questions about new Big-Y Results I can compare results for two men at present. First man has 17 unnamed variants listed, 7 of which appear in second man's list of unnamed variants. Second man has 15 unnamed variants, 8 of which do not appear in the list for first man. Position numbers for these unnamed variants do not correspond to position numbers for unique variants given under the old system. If I try the match tab for #2 , I see nine non-matching variants listed for #1--two are named; six of the seven appear as non-matching variants for #1, and the seventh appears in the list of unnamed variants for #2. So that part makes sense. However, #1 also has six unnamed variants not shared by #2 which do not appear in #2's non-matching list, and #2 has seven unnamed variants not shared by #1 which do not appear in his non-matching list. What should I conclude about these six variants in #1's list and the seven variants in #2's list? And what about the fact that position numbers under the new system differ from position numbers under the old reporting system? Lindsey

Neil The FTDNA Triangulator does have the ability to compare your Matches to confirm 3-way Triangulation - so it should be more accurate. But it’s like 99.9% accurate vs just 99% with DMT. My point here is that both methods, or GEDmatch Tier 1 Triangulation, 23andMe ICW+Yes, and even FTDNA ICW+Overlap methods will result in very nearly the same result: Triangulated Groups (TGs). Any errors will be very small. And if you follow the concept of Genealogy Triangulation - and get several Matches in a TG to agree on the same ancestral line... well - what’s not to like? We have restated many times that a single CA (Common Ancestor), even in a TG, means a ”clue” - it’s not by any stretch a “proof”. So my recommendation is to form TGs by whatever method works for you. And, when using atDNA, always be open to adjustment. At the end of the day, each shared IBD segment has to be on your paternal chromosome or your maternal chromosome. It’s hard to mix these up with any TG method. Jim Bartlett - atDNA blog: www.segmentology.org > On Oct 26, 2017, at 11:05 AM, Neil Story <[email protected]> wrote: > > I’m not clear on whether the FTDNA Triangulator does more, less, or something different than Louis Kessler’s Double Match Triangulator (http://doublematchtriangulator.com). I have used and like the latter, and know that it doesn’t have a limit on the number of matches, and that it works with GEDmatch and 23andMe as well. Does anyone have insight on the relative merits of the two? Thank you. > > Neil Story

I can compare results for two men at present. First man has 17 unnamed variants listed, 7 of which appear in second man's list of unnamed variants. Second man has 15 unnamed variants, 8 of which do not appear in the list for first man. Position numbers for these unnamed variants do not correspond to position numbers for unique variants given under the old system. If I try the match tab for #2 , I see nine non-matching variants listed for #1--two are named; six of the seven appear as non-matching variants for #1, and the seventh appears in the list of unnamed variants for #2. So that part makes sense. However, #1 also has six unnamed variants not shared by #2 which do not appear in #2's non-matching list, and #2 has seven unnamed variants not shared by #1 which do not appear in his non-matching list. What should I conclude about these six variants in #1's list and the seven variants in #2's list? And what about the fact that position numbers under the new system differ from position numbers under the old reporting system? Lindsey

Hi It seems to do 1 page of matches at a time (i.e. 30 matches) Mike

Remember you don't have to tick any matches. Just put in a filter or find ICWs and Triangulate ? Mike Fisher On 26/10/2017 16:25, Michael Fisher wrote: > What is the limit on the number of matches in the FTDNA Triangulator ? > > I haven't reached it yet. > > Mike Fisher > > > On 26/10/2017 16:05, Neil Story wrote: >> I’m not clear on whether the FTDNA Triangulator does more, less, or >> something different than Louis Kessler’s Double Match Triangulator >> (http://doublematchtriangulator.com). I have used and like the >> latter, and know that it doesn’t have a limit on the number of >> matches, and that it works with GEDmatch and 23andMe as well. Does >> anyone have insight on the relative merits of the two? Thank you. >> >> Neil Story >>   ------------------------------- >> To unsubscribe from the list, please send an email to >> [email protected] with the word 'unsubscribe' >> without the quotes in the subject and the body of the message > > > ------------------------------- > To unsubscribe from the list, please send an email to > [email protected] with the word 'unsubscribe' without > the quotes in the subject and the body of the message

What is the limit on the number of matches in the FTDNA Triangulator ? I haven't reached it yet. Mike Fisher On 26/10/2017 16:05, Neil Story wrote: > I’m not clear on whether the FTDNA Triangulator does more, less, or something different than Louis Kessler’s Double Match Triangulator (http://doublematchtriangulator.com). I have used and like the latter, and know that it doesn’t have a limit on the number of matches, and that it works with GEDmatch and 23andMe as well. Does anyone have insight on the relative merits of the two? Thank you. > > Neil Story > > ------------------------------- > To unsubscribe from the list, please send an email to [email protected] with the word 'unsubscribe' without the quotes in the subject and the body of the message