Kitty, I did flip the orientation as I noticed there were C-Gs and G-Cs on AncestrDNA files when I loaded them to a database. 23 only had C-Gs so I wanted it to look like 23 raw data. I see there is more to it than a simple ordering. I did not flip the orientation back when I recreated the fixed ANCDNA file. I wonder if that causes any issues? David From: Kitty Cooper [mailto:kittymcooper@gmail.com] Sent: Thursday, December 17, 2015 1:16 PM To: David Schroeder; genealogy-dna Subject: Re: [DNA] My Raw Data Files - Comparison 23andme vs AncestryDNA On Sat, Dec 12, 2015 at 9:33 PM, David Schroeder via <genealogy-dna@rootsweb.com> wrote: Can anyone explain why I have no 'AT' SNP pairs in my AncestryDNA raw data file? I checked my 3 ancestry raw data files, one had no ATs, one had 1 AT, and the other had 3. So I suspect this is something in how they present the data An AT actually is an AT and a TA - the company only reports one part of the base pair.The basis for reporting an AT as opposed to a TT or an AA appears to be something called orientation which can change from build to build (e.g.build 36 to 37 and to 38). Reading about orientation, I see that the A of the first AT and the T of the second AT are each on the "forward" or "plus" strand In other words you are given 2 of the 4 letters at that location. Each chromosome having a base pair of its own. Here is sort of an explanation at SNPedia. The term is orientation http://www.snpedia.com/index.php/Orientation --------------------------------------------------------------- Kitty Munson Cooper, web developer,programmer, San Diego,CA genetic genealogy blog at http://blog.kittycooper.com/ family history and genealogy at http://kittymunson.com
There are pictures on youtube of an orangutan and his dog. The orangutan takes care of the dog, brings food for the dog and they act in every way like a human with his dog. They live together in the jungles of Borneo. Perhaps this relationship predated Man. Sam Sloan On Thu, Dec 17, 2015 at 1:15 PM, jlerch1 via <genealogy-dna@rootsweb.com> wrote: > It seems to me that genetic diversity is a measure of man's initial > ancestry in Africa since the barriers to migration there are so great. The > same cannot be said of southeast Asia. > John L > > Andreas wrote > Subject: [DNA] Dog has been man's best friend for 33, 000 years, DNA > study finds > To: "genealogy-dna@rootsweb.com" <genealogy-dna@rootsweb.com> > Message-ID: <9D1F2033-D568-4988-ADB8-D6BB4BC90B6B@awest.de> > Content-Type: text/plain; charset=us-ascii > > FYI > > > http://www.telegraph.co.uk/news/science/science-news/12052798/Dog-has-been-mans-best-friend-for-33000-years-DNA-study-finds.html > > Andreas > > > ------------------------------- > To unsubscribe from the list, please send an email to > GENEALOGY-DNA-request@rootsweb.com with the word 'unsubscribe' without > the quotes in the subject and the body of the message >
GEDmatch "tokenizes" the data in an attempt to make it more uniform across platforms, so that should not be an issue for most SNPs. All C's are converted to G's and all A's are converted to T's (or maybe the opposite direction, but you get the idea). That fixes any strand orientation problems, but it introduces a few cases where the alternative alleles are also complementary base pairs in the double helix. The next effect of that is to give you a free ride for those few SNPs where you and your match are really opposite homozygotes. You speak of fixing errors -- I assume you're referring to no-calls rather that outright errors (miscalls). No-calls don't break up segments, just opposite homozygotes (e.g. CC in one party and TT in the other party). GEDmatch doesn't give any credit for the SNP threshold (although 23andMe and FTDNA do). For that reason, I predicted you might have a small increase in the number of matches, and I am puzzled as to why you saw a decrease. Ann Turner On Thu, Dec 17, 2015 at 11:39 AM, David Schroeder via < genealogy-dna@rootsweb.com> wrote: > Kitty, > > > > I did flip the orientation as I noticed there were C-Gs and G-Cs on > AncestrDNA files when I loaded them to a database. 23 only had C-Gs so I > wanted it to look like 23 raw data. I see there is more to it than a simple > ordering. I did not flip the orientation back when I recreated the fixed > ANCDNA file. I wonder if that causes any issues? > > > > David >
Ann, I am using the V3 23andme chipset. I was not expecting such major differences in my number of matching segments- 23 vs ANCDNA- but that may be a good thing since a large number of my 23 matches are coming from a pileup region on chromosome 15, but AncestryDNA has far fewer on 15. I expected a reduction in the number of segment matches using raw data files with a lower error rate. Since there were big differences, I decided to upload my original AncestryDNA raw data for another comparison. I will do more comparisons. The original AncestryDNA kit has a 2.0% error rate, and the fixed has 1.0%. Tim, my daughter took the test and she is on gedmatch, and I have access to her raw data. (Actually, I have two daughters who have taken the test). Most phasing programs require a 'triple': two parents and a child. How do I phase my data without the other parent? I could possibly use both of my daughters' raw data to phase mine. The holidays are upon us, and my free time has disappeared. I am thinking of doing some scripts where I have all 4 kit segment matches: two from 23, (fixed and original), and two from AncestryDNA. One thought was to calculate the differences in cMs for all the kits. Also, a histogram of number of matches for each additional cM >5. I would end up with a spreadsheet with all 4 kits, and matches on each row. Any ideas what else might be beneficial. Also, I am 2nd generation from European immigrants. I do not have a lot of close matches since I have no U.K. or American ancestry. David Message: 8 Date: Wed, 16 Dec 2015 15:54:55 -0800 From: Ann Turner <dnacousins@gmail.com> Subject: Re: [DNA] My Raw Data Files - Comparison 23andme vs AncestryDNA To: DNA Genealogy Mailing List <genealogy-dna@rootsweb.com> Message-ID: <CAA-Ub_C+BHc432aHZGOKJ1fOFNfOrwfMoVqrzS=mkoytrvXbFQ@mail.gmail.com> Content-Type: text/plain; charset=UTF-8 One possible explanation: If you are using v3 data, there are ~ 1,000,000 SNPs to use when you're comparing M kits with M kits. A kits have only 700,000 SNPs available for comparison, so it's harder to reach the SNP threshold. But I'm puzzled that there was a reduction from your original M kit to the fixed M kit. That implies that at least some of the fixes created opposite homozygotes between potential matches. Could you do a few one-to-one comparisons of the dropouts with different SNP and mismatch thresholds? Ann Turner Message: 10 Date: Wed, 16 Dec 2015 23:59:28 -0800 From: "Tim Janzen" <tjanzen@comcast.net> Subject: Re: [DNA] My Raw Data Files - Comparison 23andme vs AncestryDNA To: <genealogy-dna@rootsweb.com> Message-ID: <0bb901d138a0$daddb220$90991660$@net> Content-Type: text/plain; charset="us-ascii" Dear David, Do you have family phased data that you can upload to GEDmatch? In my opinion it is much more important that you upload phased data to GEDmatch than that you fix your no calls. Fixing any errors you have in your data is important, particularly when you moved to phased data. If you are married and have a child then generating phased data is fairly easy. Your IBS pileups should be dramatically reduced once you move to phased data. Sincerely, Tim Janzen
On Sat, Dec 12, 2015 at 9:33 PM, David Schroeder via < genealogy-dna@rootsweb.com> wrote: > Can anyone explain why I have no 'AT' SNP pairs in my AncestryDNA raw data > file? > I checked my 3 ancestry raw data files, one had no ATs, one had 1 AT, and the other had 3. So I suspect this is something in how they present the data An AT actually is an AT and a TA - the company only reports one part of the base pair.The basis for reporting an AT as opposed to a TT or an AA appears to be something called orientation which can change from build to build (e.g.build 36 to 37 and to 38). Reading about orientation, I see that the A of the first AT and the T of the second AT are each on the "forward" or "plus" strand In other words you are given 2 of the 4 letters at that location. Each chromosome having a base pair of its own. Here is sort of an explanation at SNPedia. The term is orientation http://www.snpedia.com/index.php/Orientation --------------------------------------------------------------- Kitty Munson Cooper, web developer,programmer, San Diego,CA genetic genealogy blog at http://blog.kittycooper.com/ family history and genealogy at http://kittymunson.com
GEDmatch will produce a phased file from one parent and one child --------------------------------------------------------------- Kitty Munson Cooper, web developer,programmer, San Diego,CA genetic genealogy blog at http://blog.kittycooper.com/ family history and genealogy at http://kittymunson.com On Thu, Dec 17, 2015 at 9:49 AM, David Schroeder via < genealogy-dna@rootsweb.com> wrote: > Ann, I am using the V3 23andme chipset. I was not expecting such major > differences in my number of matching segments- 23 vs ANCDNA- but that may > be > a good thing since a large number of my 23 matches are coming from a > pileup > region on chromosome 15, but AncestryDNA has far fewer on 15. I expected a > reduction in the number of segment matches using raw data files with a > lower > error rate. Since there were big differences, I decided to upload my > original AncestryDNA raw data for another comparison. I will do more > comparisons. The original AncestryDNA kit has a 2.0% error rate, and the > fixed has 1.0%. > > Tim, my daughter took the test and she is on gedmatch, and I have access to > her raw data. (Actually, I have two daughters who have taken the test). > Most phasing programs require a 'triple': two parents and a child. How do I > phase my data without the other parent? I could possibly use both of my > daughters' raw data to phase mine. > > The holidays are upon us, and my free time has disappeared. I am thinking > of > doing some scripts where I have all 4 kit segment matches: two from 23, > (fixed and original), and two from AncestryDNA. One thought was to > calculate > the differences in cMs for all the kits. Also, a histogram of number of > matches for each additional cM >5. I would end up with a spreadsheet with > all 4 kits, and matches on each row. Any ideas what else might be > beneficial. Also, I am 2nd generation from European immigrants. I do not > have a lot of close matches since I have no U.K. or American ancestry. > > David > > Message: 8 > Date: Wed, 16 Dec 2015 15:54:55 -0800 > From: Ann Turner <dnacousins@gmail.com> > Subject: Re: [DNA] My Raw Data Files - Comparison 23andme vs > AncestryDNA > To: DNA Genealogy Mailing List <genealogy-dna@rootsweb.com> > Message-ID: > <CAA-Ub_C+BHc432aHZGOKJ1fOFNfOrwfMoVqrzS= > mkoytrvXbFQ@mail.gmail.com> > Content-Type: text/plain; charset=UTF-8 > > One possible explanation: If you are using v3 data, there are ~ 1,000,000 > SNPs to use when you're comparing M kits with M kits. A kits have only > 700,000 SNPs available for comparison, so it's harder to reach the SNP > threshold. > > But I'm puzzled that there was a reduction from your original M kit to the > fixed M kit. That implies that at least some of the fixes created opposite > homozygotes between potential matches. Could you do a few one-to-one > comparisons of the dropouts with different SNP and mismatch thresholds? > > Ann Turner > > Message: 10 > Date: Wed, 16 Dec 2015 23:59:28 -0800 > From: "Tim Janzen" <tjanzen@comcast.net> > Subject: Re: [DNA] My Raw Data Files - Comparison 23andme vs > AncestryDNA > To: <genealogy-dna@rootsweb.com> > Message-ID: <0bb901d138a0$daddb220$90991660$@net> > Content-Type: text/plain; charset="us-ascii" > > Dear David, > Do you have family phased data that you can upload to GEDmatch? In my > opinion it is much more important that you upload phased data to GEDmatch > than that you fix your no calls. Fixing any errors you have in your data > is > important, particularly when you moved to phased data. If you are married > and have a child then generating phased data is fairly easy. Your IBS > pileups should be dramatically reduced once you move to phased data. > Sincerely, > Tim Janzen > > > ------------------------------- > To unsubscribe from the list, please send an email to > GENEALOGY-DNA-request@rootsweb.com with the word 'unsubscribe' without > the quotes in the subject and the body of the message >
Genetic structure is detectable based on religious background in this study of Newfoundland and Labrador. That could be a consequence of marrying someone with the same religion, even though the general geographic background might not be that different. http://www.nature.com/ejhg/journal/vaop/ncurrent/full/ejhg2015256a.html Genetic structure of the Newfoundland and Labrador population: founder effects modulate variability. Zhai G(1), Zhou J(2), Woods MO(1), Green JS(1), Parfrey P(2), Rahman P(2), Green RC(1). Author information: (1)Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St John's, Newfoundland and Labrador, Canada. (2)Discipline of Medicine, Faculty of Medicine, Memorial University, St John's, Newfoundland and Labrador, Canada. The population of the province of Newfoundland and Labrador (NL) has been a resource for genetic studies because of its historical isolation and increased prevalence of several monogenic disorders. Controversy remains regarding the genetic substructure and the extent of genetic homogeneity, which have implications for disease gene mapping. Population substructure has been reported from other isolated populations such as Iceland, Finland and Sardinia. We undertook this study to further our understanding of the genetic architecture of the NL population. We enrolled 494 individuals randomly selected from NL. Genome-wide SNP data were analyzed together with that from 14 other populations including HapMap3, Ireland, Britain and Native American samples from the Human Genome Diversity Project. Using multidimensional scaling and admixture analysis, we observed that the genetic structure of the NL population resembles that of the British population but can be divided into three clusters that correspond to religious/ethnic origins: Protestant English, Roman Catholic Irish and North American aboriginals. We observed reduced heterozygosity and an increased inbreeding coefficient (mean=0.005), which corresponds to that expected in the offspring of third-cousin marriages. We also found that the NL population has a significantly higher number of runs of homozygosity (ROH) and longer lengths of ROH segments. These results are consistent with our understanding of the population history and indicate that the NL population may be ideal for identifying recessive variants for complex diseases that affect populations of European origin.European Journal of Human Genetics advance online publication, 16 December 2015; doi:10.1038/ejhg.2015.256.
I tried to add my discount codes but couldn't get it done! Here are mine if anyone wants them Big Y 50.00 R11SLBY70QM9 25.00 R117VO3OUUS 25.00 R11IHE0TT9TH I have other smaller 10 and 5 dollar ones on FF, 37,67, and 111 Full Seq! Email me if you need any of those. It looked like there were plenty smaller discounts on the site! Margo ---------- Original Message ---------- From: Lindsey Britton via <genealogy-dna@rootsweb.com> To: dnacousins@gmail.com, genealogy-dna@rootsweb.com Subject: Re: [DNA] Any Extra FF Coupons? Date: Wed, 16 Dec 2015 15:03:58 -0500 Thank you, Ann. I'll forward the link to my cousin. I wasn't aware of the spreadsheet. Lindsey -----Original Message----- From: Ann Turner <dnacousins@gmail.com> To: Lindsey Britton <lplantagenet@aol.com>; DNA Genealogy Mailing List <genealogy-dna@rootsweb.com> Sent: Wed, Dec 16, 2015 2:55 pm Subject: Re: [DNA] Any Extra FF Coupons? Check out this spreadsheet where people have been posting coupons they're not using. It's also handy because coupons can be marked as used. https://docs.google.com/spreadsheets/d/1CgXRKz2TySvRqSInveSIYoslO7yexAc9d-BzpNhaY1c/edit?usp=sharing Ann Turner On Wed, Dec 16, 2015 at 11:45 AM, Lindsey Britton via <genealogy-dna@rootsweb.com> wrote: I have a cousin who is interested. Lindsey ------------------------------- To unsubscribe from the list, please send an email to GENEALOGY-DNA-request@rootsweb.com 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 GENEALOGY-DNA-request@rootsweb.com with the word 'unsubscribe' without the quotes in the subject and the body of the message ____________________________________________________________ 6% Cash Back From A Card http://www.nextadvisor.com/images/uploads/Woman-Over-Cards-75x75.jpg http://thirdpartyoffers.juno.com/TGL3141/56721867e94ba18670f15st02duc
Dear David, I noted that the errors and nocalls were similar between 23andMe data and Family Finder data a number of years ago when I analyzed the data. My conclusion was that errors and miscalls have to do with poorly performing primers on the Illumina OmniExpress chip, which is the SNP array that 23andMe, Ancestry.com, and Family Finder use for their tests. If the primer doesn't work well then companies using the same chip may well get the same erroneous results. The take home message is that just because three different companies (23andMe, Ancestry.com, and Family Finder) all give the same result for a SNP doesn't necessarily mean that the result is correct. If the primer gives a wrong result for whatever reason then you would need to figure this out by using a different testing technique such as Sanger sequencing or next generation sequencing. The way I figured out that some of my results on the OmniExpress chip were erroneous was to compare my data to my parents' data and then look for data that was incompatible. For instance, if my mother was GG and I was AT for a particular SNP then at least one of the allele values for my mother or for me had to be incorrect. Sincerely, Tim Janzen -----Original Message----- From: genealogy-dna-bounces@rootsweb.com [mailto:genealogy-dna-bounces@rootsweb.com] On Behalf Of David Schroeder via Sent: Monday, December 14, 2015 8:48 PM To: genealogy-dna@rootsweb.com Subject: Re: [DNA] My Raw Data Files - Comparison 23andme vs AncestryDNA Interestingly enough, there were 3,833 that were left as no-calls on both 23andme and AncestryDNA for the same RSIDs. I am wondering if these are the result of particularly difficult locations to test, or perhaps the SNP is rare in my genome? The tests were over two years apart. I uploaded both fixed raw data files to gedmatch to see how it may affect my 'one-to-many' matches. (Will have to wait on the processing). I ran the Gedmatch File Diagnostic Utility, and the fixed files had significantly reduced my error rates. It seems that most of my errors are in the X, Y or MT Chromosomes. David
Dear David, Do you have family phased data that you can upload to GEDmatch? In my opinion it is much more important that you upload phased data to GEDmatch than that you fix your no calls. Fixing any errors you have in your data is important, particularly when you moved to phased data. If you are married and have a child then generating phased data is fairly easy. Your IBS pileups should be dramatically reduced once you move to phased data. Sincerely, Tim Janzen -----Original Message----- From: genealogy-dna-bounces@rootsweb.com [mailto:genealogy-dna-bounces@rootsweb.com] On Behalf Of David Schroeder via Sent: Wednesday, December 16, 2015 12:42 PM To: genealogy-dna@rootsweb.com Subject: Re: [DNA] My Raw Data Files - Comparison 23andme vs AncestryDNA I do have issues with a lot of pileups on chromosome 15: Number of Segment Matches on Chromosome 15 - large number of pileups Original 23andme: 603 Fixed 23andme: 482 Fixed Ancestry: 197 Compared to number of Segment Matches on Chromosome 6: Original 23andme: 75 Fixed 23andme: 82 Fixed Ancestry: 84 It is an interesting situation. I expected fewer matches on my fixed kit, but I did not expect so much less on my ancestry kit. Any ideas why? I am going to dig deeper into the data. David
List And the second group. Ian www.ainlogan.co.uk ----------------------- GQ337576 Palanichamy Haplogroup M 07-DEC-2015 A73G T199C T204C A263G 309.1C 315.1C T489C 573.1C 573.2C 573.3C 573.4C A750G A1313G A1438G A2706G A2755G A4769G C7028T A7076G T7283C G8251A A8701G A8860G A9007G T9540C A10398G C10400T A10754G T10873C C11710T G11719A T11809C A11908G A12366G C12705T A13485G C13831A T14299C C14766T T14783C G15043A G15301A A15326G G15930A T16086C C16218T C16223T T16271C C16291T T16311C T16362C GQ337577 Palanichamy Haplogroup N8 07-DEC-2015 A73G C151T T152C A189G T199C A263G 309.1C 315.1C A750G G930A A1438G A2706G A2760G T3027C A4769G C7028T T7885C T7961C A8188G A8803G C8829T A8860G A10398G A11092G G11719A C12705T A13710G C14766T C15211T A15326G T15445C G16129A C16223T T16263C G16274A T16311C A16343G T16357C T16519C GQ337578 Palanichamy Haplogroup M38 07-DEC-2015 A73G T246C A263G 309.1C 315.1C G316A T489C C522- A523- A750G A1438G A2706G C4099T A4769G T4823C C6230T G6366A C7028T C7810T A8701G A8860G A9007G T9540C A10398G C10400T T10873C G11719A G12007A C12705T A13434G C14766T T14783C G15043A G15301A G15314A A15326G A15487G A16181G C16223T T16311C G16319A T16519C GQ337579 Palanichamy Haplogroup N8 07-DEC-2015 A73G T195C A263G 309.1C 315.1C A750G A1438G A2706G A2760G T3027C A4769G A5120G C7028T T7885C T7961C A8188G A8860G A10398G G11719A C12705T A13710G C14766T C15211T A15326G G16129A C16223T T16263C G16274A T16311C A16318T A16343G T16519C GQ337580 Palanichamy Haplogroup U2 07-DEC-2015 A73G T146C C151T T195C A263G 315.1C T593C A750G A1438G A1811G A2706G T4062C T4080C A4769G T5250C C7028T G7444A A8860G G9438A A11467G G11719A A12308G G12372A C14766T A15061G A15244G A16051G G16129A T16189C C16239T A16482G G16485T 16487.1A GQ337581 Palanichamy Haplogroup M39a 07-DEC-2015 55.1T T59- T60- 65.1T A73G G207A A263G 315.1C T489C A750G C1120T A1438G A1811G A2706G A4769G T4928C G5773A C7028T A8679G A8701G A8704G A8860G T9540C A10398G C10400T C10654T T10873C G11719A C12705T C14766T T14783C G15043A G15301A A15326G C15938T C16111T T16249C C16353T GQ337582 Palanichamy Haplogroup M3d1a 07-DEC-2015 A73G A263G 309.1C 315.1C T482C T489C A750G A1438G A2706G G3915A A4769G C7028T A8701G A8860G T9540C T10238C A10398G C10400T T10873C G11719A T11827C C12705T C12813T T13820C T13962C C14766T T14783C G15043A G15301A A15326G G15466A T16126C C16223T C16301T C16344T T16519C GQ337583 Palanichamy Haplogroup M38b 07-DEC-2015 A73G T146C A153G T195C T246C A263G 309.1C 309.2C 315.1C T489C A644G A750G A1438G A2706G G3591A A3987G C4099T A4769G A6881G C7028T A7844G T8047C A8701G A8860G T9540C A10398G C10400T T10873C T11050C G11719A G12007A C12705T C14766T T14783C G15043A A15244G G15301A G15314A A15326G A15487G T16092C A16183- T16189C 16193.1C C16223T T16519C GQ337584 Palanichamy Haplogroup M39a 07-DEC-2015 55.1T T59- T60- 65.1T A73G G207A A263G 315.1C T489C A750G C1120T A1438G A1811G A2706G A4769G T4928C G5046A G5773A C7028T A8679G A8701G A8704G A8860G T9540C A10398G C10400T C10654T T10873C G11719A C12705T C14766T T14783C G15043A G15301A A15326G C15938T C16111T C16353T GQ337585 Palanichamy Haplogroup M2b1a 07-DEC-2015 A73G T152C C182T T195C A214G A263G 309.1C 309.2C 315.1C C447G T489C C522- A523- A750G A1438G A1453G C1677T T1780C T2392C A2706G A2707C G2831T C3630T T4205C A4769G T5420C G5744A G6260A A6647G C7028T A8502G A8701G A8860G T9540C T9899C A10398G C10400T T10873C G11016A A11083G G11719A C12705T T13254C T14783C G15043A G15301A A15326G T15670C 16169.1C T16189C 16193.1C 16193.2C T16209C C16223T C16256T G16274A G16319A T16519C GQ337586 Palanichamy Haplogroup M53b 07-DEC-2015 A73G A93G A240G A263G 315.1C A390T T489C C506A C522- A523- C572T A750G A1438G G1462A A2706G T3027C A4769G T5493C G5821A T6815C C7028T T7283C A8701G A8860G C9302T T9540C A10398G C10400T T10873C A11023G A11167G T11204C A11560G G11719A C12705T C14766T T14783C G15043A G15301A A15326G A16051G T16189C C16223T A16316G A16399G T16519C GQ337587 Palanichamy Haplogroup M53b 07-DEC-2015 A73G G225A A240G A263G 309.1C 315.1C A390T T489C C522- A523- C572T A750G A1438G G1462A A2706G A4769G T5493C G5821A T6815C C7028T A8701G A8860G C9302T T9540C A10398G C10400T T10873C A11023G A11167G A11560G G11719A C12705T T14502C G14569A C14766T T14783C G15043A G15301A G15314A A15326G A16051G A16183- T16189C 16193.1C C16223T A16316G A16399G T16519C GQ337588 Palanichamy Haplogroup M9a1a1c1b1a 07-DEC-2015 A73G A263G 315.1C T489C T711C A750G A1041G A1438G A2706G T3394C G4491A A4769G 5899.1C C7028T T7142C G7697A A8701G A8860G A9242G T9540C A10289G A10398G C10400T T10873C G11719A C12705T T14308C A14417G C14766T T14783C G15043A G15301A A15326G G15927A C16223T C16234T A16316G T16362C GQ337589 Palanichamy Haplogroup M5a1b 07-DEC-2015 A73G A263G 309.1C 309.2C 315.1C T489C 523.1C 523.2A G709A A750G G1303A A1438G G1888A A2706G C3921T C3954T A4769G A4916G A6461G C7028T C8465T A8701G A8860G T9540C T9833C A10398G C10400T T10873C G11719A T12477C C12705T G14323A C14766T T14783C G15043A T15287C G15301A A15326G G16129A T16189C C16223T C16239T C16291T T16519C GQ337590 Palanichamy Haplogroup R6 07-DEC-2015 A73G T146C T195C A263G 315.1C C459T A750G A1438G C2386A A2706G C3637T T4386C A4769G A5843G C6773T C7028T A7202G A8860G C9449T T10084C G11016A A11620G G11719A T12285C C13725T T14470C C14766T A15098G A15326G G16129A T16172C C16222T C16234T C16266T A16309G G16319A T16362C T16519C GQ337591 Palanichamy Haplogroup M6 07-DEC-2015 A73G T152C A263G 315.1C 455.1C C459- C461T T489C T593C A750G A1438G A2706G G3745A C4380T T4418C T4592C A4769G A5301G A5558G C6746T C7028T A7804G A8701G A8860G T9540C C9860T A10398G C10400T T10640C T10873C G11719A C12705T C13998T A14128G C14766T T14783C G15043A C15094T G15301A A15326G C16223T T16362C GQ337592 Palanichamy Haplogroup M18b 07-DEC-2015 A73G T246C A263G 315.1C T489C G513A A750G A1438G A2706G A4769G A5153G C7028T 8276.1C 8276.2C T8277C T8279C A8701G A8860G A9200G T9540C A10398G C10400T T10873C G11719A G12007A C12498T C12705T G13135A A14587G C14766T T14783C G15043A G15301A A15326G C16223T C16295T A16318T T16325C T16519C GQ337593 Palanichamy Haplogroup M45a 07-DEC-2015 A73G G143A T152C C194T A263G 309.1C 315.1C T489C C722T A750G A1438G C4616T A4734G A4769G C7028T A7049G A8701G A8860G A9180G T9540C A10398G C10400T T10873C G11719A G12007A C12705T T14212C C14766T T14783C G15043A G15301A A15326G A16183- T16189C 16193.1C C16223T A16300G T16519C GQ337594 Palanichamy Haplogroup R7a1 07-DEC-2015 A73G T195C A263G 309.1C 309.2C 315.1C A750G A1438G G1442A A2706G A4769G T6248C C7028T T7870C C8643T A8860G A9051G T9110C G10143A A10289G T10915C G11719A G12406A A13105G T13404C T13674C T13830C C14766T A15326G G15346A C16260T C16261T G16319A T16362C GQ337595 Palanichamy Haplogroup M34a2 07-DEC-2015 A73G C114T A263G 309.1C 309.2C 315.1C T489C C522- A523- C569T A750G A1438G A2706G G3010A A4769G T5108C A5276G G5585A A6794G C7028T T8404C T8548C A8701G A8860G T9540C A10398G C10400T T10873C A11101G G11719A C12705T T13161C T14094C C14766T T14783C G15043A G15301A A15326G A15865G C16223T T16249C T16359C T16519C GQ337596 Palanichamy Haplogroup M5b2b 07-DEC-2015 T57C T58G 60.1T A73G A93G C194T A263G 309.1C 315.1C T489C C522- A523- A750G A1438G G1888A A2706G A3744G A4769G A5351G T6293C C7028T T8110C C8472A A8701G A8784T A8860G G8886A T9540C A10398G C10400T T10873C G11719A C12705T G13368A G14560A C14766T T14783C G15043A G15301A A15326G G16048A G16129A C16218T C16223T GQ337597 Palanichamy Haplogroup M21b 07-DEC-2015 A73G T195C A263G 309.1C 315.1C T489C A750G C775T A1438G A2706G G3915A A4769G T5108C G5177A C5263T C7028T T7861C A8701G A8860G T9540C A9545G A10398G C10400T T10873C T11482C G11719A C12705T C14562T C14766T T14783C G15043A G15301A A15326G T16093C C16223T T16249C C16301T T16311C T16519C GQ337598 Palanichamy Haplogroup M13a 07-DEC-2015 A73G T152C T199C A263G 309.1C 315.1C T489C G513A C522- A523- A750G A1438G A2706G T2786C T3644C A4769G G5773A G6023A T6253C T6620C C7028T A8405G A8701G A8860G T9540C G10373A A10398G C10400T A10411G T10790C T10873C G11719A C12705T A13395G C13934T C14766T T14783C G15043A G15301A A15326G A15924G T15940- G16145A C16168T C16188T C16223T T16311C T16519C GQ337599 Palanichamy Haplogroup M35b 07-DEC-2015 A73G T152C T199C A263G 309.1C 315.1C T489C A750G A1438G A2706G A4769G C7028T A8701G A8860G C9099T G9142A T9540C A10398G C10400T T10873C G11719A G12561A C12705T C14766T T14783C G15043A G15301A A15326G A15328G G15928A C16223T T16304C T16519C GQ337600 Palanichamy Haplogroup M 07-DEC-2015 A73G A263G 315.1C T489C A750G A1438G A2706G A4769G A4943G C7028T C8270T C8281- C8282- C8283- C8284- C8285- T8286- C8287- T8288- A8289- A8623G A8701G A8860G T9540C A10398G C10400T T10873C A11314G G11719A C12705T A14552G C14766T T14783C G15043A G15301A A15326G A15924G T16126C C16223T C16290T T16519C GQ337601 Palanichamy Haplogroup M37e2 07-DEC-2015 A73G A263G 315.1C T489C A750G A1438G A2706G G3438A A4769G C7028T C8410T A8701G A8860G T9540C A10398G C10400T C10556T T10873C T11050C G11719A G12007A C12705T C14766T T14783C G15043A G15301A A15326G C16111T A16183- T16189C 16193.1C C16223T T16224C T16519C GQ337602 Palanichamy Haplogroup M31a2 07-DEC-2015 A73G T195C A263G 309.1C 315.1C T489C A750G C868T A1438G 2156.1A A2706G T3999C A4769G A4775G T4907C C7028T A8701G A8860G T9540C A9604G G9966A A10398G C10400T T10873C A11023T G11176A G11719A C12705T C12876T C14766T T14783C G15043A A15258G G15301A A15326G T15440C T15530C T16017C T16093C T16126C G16145A C16193T C16223T GQ337603 Palanichamy Haplogroup M52b1 07-DEC-2015 A73G A263G T310C T489C C522- A523- A750G A1438G G1462T G1598A A2706G A4760G A4769G G5460A C6020T C6531T C7028T G8557A A8701G A8860G T9540C A10398G C10400T A10750G T10873C G11719A C12705T C13815T C14766T T14783C G15043A G15301A A15326G C15815T G16129A A16166G A16183- T16189C 16193.1C C16223T A16275G G16438A T16519C GQ337604 Palanichamy Haplogroup R 07-DEC-2015 A73G T152C A263G 309.1C 315.1C G513A A750G A1438G A2706G A3816G A4769G G4820A T5201C C7028T A8149G C8464T A8501T A8784G A8860G A8887G T9116C T10454C G11719A G12771A C14766T A15326G A15712G T16092C G16145A C16185T C16239T T16325C T16519C GQ337605 Palanichamy Haplogroup M6 07-DEC-2015 A73G C150T A263G 315.1C 455.1C C459- C461T T489C T593C A750G A1438G A2706G G3745A C4380T T4418C T4592C A4722G A4769G A5301G A5558G A6323G C6746T C7028T A7804G A8701G A8860G T9540C A10398G C10400T A10403G T10640C T10873C G11719A C12705T C13998T A14128G C14766T T14783C G15043A T15191C G15301A A15326G C16223T G16274A T16362C GQ337606 Palanichamy Haplogroup R 07-DEC-2015 A73G T199C A263G 315.1C A750G A1438G A2045G A2706G A4769G C7028T A8784G A8860G A8887G G9145A G11719A C11983T C12465T T12522C C13162T T13818C T14110C C14766T A15326G A15712G T16086C G16145A C16185T C16239T T16263C GQ337607 Palanichamy Haplogroup M45a 07-DEC-2015 A73G G143A T146C T152C A263G 315.1C T489C A750G A1438G C3576T A4734G A4769G C7028T A7049G A8701G A8860G A9180G T9540C A10398G C10400T T10873C G11719A G12007A C12705T C14766T T14783C G15043A G15301A A15326G T15511C A15924G C16184T T16189C C16223T A16300G T16519C GQ337608 Palanichamy Haplogroup M6a1a 07-DEC-2015 A73G T146C A263G 315.1C C461T T489C C522- A523- A750G A1438G A2706G C3486T A3537G A4769G T5082C A5301G A5558G C7028T A8701G A8860G G9329A T9540C A10398G C10400T T10640C T10873C G11719A A12397G A12507G C12705T A13966G A14128G C14766T T14783C G15043A G15301A A15326G A16103G C16218T C16223T T16231C T16311C T16356C T16362C T16519C GQ337609 Palanichamy Haplogroup M4''67 07-DEC-2015 A73G C150T A263G 309.1C 315.1C T489C G709A A750G A1438G G1888A A2706G G3591A C3921T A4769G G6260A T6707C C7028T G7521A T8610C A8701G A8860G G9196A T9540C A10097G A10398G C10400T T10873C G11719A G12007A T12351C C12705T C14766T T14783C G15043A G15301A A15326G G16129A C16223T A16300G G16319A T16519C GQ337610 Palanichamy Haplogroup R5a2a 07-DEC-2015 A73G T152C A263G 315.1C C522- A523- A750G A1117G A1438G A2706G T4646C A4769G T6681C C7028T G7853A T8594C A8860G A10754G T10915C A11293G G11719A A12046T G12561A T13635C G14040A G14544A C14766T A15326G C15385T C16266T T16304C T16311C C16355T T16356C T16519C A16524G GQ337611 Palanichamy Haplogroup R5a2a 07-DEC-2015 A73G T152C A263G 315.1C C522- A523- A750G A1438G A2706G A4769G C7028T T8594C A8860G A10754G A11293G G11719A G12561A T13182C T13635C G14040A G14544A C14766T A15326G C15385T C16266T T16304C T16311C T16356C T16362C T16519C A16524G GQ337612 Palanichamy Haplogroup M40a1a 07-DEC-2015 A73G A200G T204C A249G A263G 309.1C 315.1C T489C A750G A1438G T2083C A2706G A4769G C7028T A8701G A8860G A8925G T9540C A10398G C10400T T10873C G11719A C12705T A13542G C14766T T14783C G15043A G15301A A15326G T15721C A15954G C16179T C16223T A16289G C16294T G16319A T16356C A16463G GQ337614 Palanichamy Haplogroup M5b2a 07-DEC-2015 A73G T236C A263G C271T 309.1C 315.1C T489C C522- A523- A750G A1438G G1888A A2706G A3744G A4769G C7028T T8005C A8701G T8772C A8784T A8860G G8950A T9540C C10128T A10398G C10400T T10873C G11719A C12705T G13368A C14766T T14783C G15043A G15301A A15326G G16048A T16063C G16129A C16223T T16362C G16390A T16519C GQ337615 Palanichamy Haplogroup M5b2b 07-DEC-2015 A73G C194T T195C A263G 315.1C T489C C522- A523- A750G A1438G G1888A A2706G A3744G A4769G A5351G T6293C C7028T C8472A A8701G A8784T A8860G G8886A T9540C A10398G C10400T T10873C G11719A C12705T G13368A T14290C C14766T T14783C G15043A G15301A A15326G G16048A T16093C G16129A C16218T C16223T T16243C T16519C
List A large set of mtDNA sequences from 'Palanichamy' has appeared on GenBank database. These sequences all come from the India/China area. The sequences are not new, but clearly have never been released. The sequences belong to a very large number of Haplogroups - mainly from the SuperHaplogroup M. As usual I have added the sequences to my 'Checker' program to ensure accuracy of transcription. Ian www.ianlogan.co.uk --------------------- GQ337536 Palanichamy Haplogroup M57a 07-DEC-2015 A73G T152C A263G 315.1C T489C C572- A750G A1438G A2706G G3483A C4020T A4769G C7028T A8860G A8869G T9540C A10398G C10400T T10873C A11101G G11719A C12705T A13651G C14766T T14783C G15043A G15301A A15326G C16111T T16189C C16223T T16311C T16519C GQ337537 Palanichamy Haplogroup U2c1a 07-DEC-2015 A73G G143A T152C A263G 315.1C A750G C1120T A1438G A1811G A2706G A3532G C4730T A4769G C5790A C6857T A6890G C7028T G8020A T8023C C8676T A8860G C9767T A11467G G11719A A12308G G12372A A13105G C14766T T14935C G15043A A15061G A15326G A16051G C16179T C16234T A16240C C16278T GQ337538 Palanichamy Haplogroup M2a2a 07-DEC-2015 A73G A263G 309.1C 315.1C C447G T489C A750G A1438G T1780C A2706G A4769G A6035G C7028T G7702A T7961C C8395T A8502G A8701G A8860G T9540C A10398G C10400T T10873C C11041A A11083G G11719A T12657C C12705T A12810G G13708A A14554G C14766T T14783C G15043A G15301A A15326G T15670C C16223T A16240C G16274A T16311C G16319A T16519C GQ337539 Palanichamy Haplogroup M66b 07-DEC-2015 A73G C150T T195C C198T G207A A263G 309.1C 315.1C T489C C522- A523- A750G A1438G G1888A A2706G G4541A A4769G T6827C C7028T A8701G A8860G C9061T G9139A T9540C A10398G C10400T T10873C G11719A G12007A G12192A C12705T A14118G C14766T T14783C A14978G G15043A G15301A A15326G C16104T C16184T C16223T A16241G T16311C T16519C GQ337540 Palanichamy Haplogroup M30b 07-DEC-2015 G53A T55C A73G G94A T152C T195A A263G 309.1C 315.1C T489C C522- A523- A750G A1438G A2706G T4586C A4769G G5147A C7028T C8650G T8654C A8701G A8860G T9540C A10398G C10400T T10873C G11719A G12007A C12705T G13980A C14766T T14783C G15043A G15301A A15326G G15431A T16189C C16192T C16223T C16278T T16311C T16519C GQ337541 Palanichamy Haplogroup R30a 07-DEC-2015 A73G T195C C198T A263G 315.1C A750G A1438G G1719A A2706G G3316A A4769G C5126T C5354T T5442C T5964C T5999C G6764A C7028T C7708T G8584A A8860G T9165C A9242G C11047A G11719A T14178C C14766T T15055C A15326G T15670C A16051G T16092C T16189C T16325C GQ337543 Palanichamy Haplogroup M71a2 07-DEC-2015 T46G A73G G143A T146C C151T A263G 309.1C 309.2C 315.1C T489C A750G A1438G A2706G A4769G C7028T A8440G A8701G A8718G G8838A A8860G T9540C T9615C A10398G C10400T T10873C T11626C G11719A C11932T C12705T A13407G A14605G C14766T T14783C G15043A G15106A G15301A A15326G T15458C G16129A T16136C T16140C C16223T T16271C T16519C GQ337544 Palanichamy Haplogroup N21 07-DEC-2015 A73G C150T T195C A263G 315.1C A337- A750G A1438G A2412G A2706G A4769G C6008T A6752G C7028T A8701G A8860G A10583G G11719A C12705T A12990G T13437C G14560A C14766T G15043A G15217A A15326G A16182G C16193T C16223T T16519C GQ337545 Palanichamy Haplogroup M33a 07-DEC-2015 A73G C150T G207A A263G T293C 309.1C 315.1C T489C A750G A1438G G2361A A2706G T4117C A4769G A5505G C7028T C8562T A8701G A8860G T9540C G10310A A10398G C10400T T10873C G11719A C12705T T13437C T14290C C14766T T14783C G15043A G15301A A15326G T15908C G16213A A16316G T16519C GQ337546 Palanichamy Haplogroup M5c1 07-DEC-2015 A73G C150T T152C T195C A263G 309.1C 309.2C 315.1C T489C C575T A750G A1438G G1888A A2706G A4769G C4851T A5319G T6413C C7028T A8701G T8760C A8860G T9540C C10211T A10398G C10400T T10873C G11719A C12705T G13708A C14766T T14783C G15043A G15301A A15326G G16129A C16223T T16519C GQ337547 Palanichamy Haplogroup M52b 07-DEC-2015 A73G C150T A263G 309.1C 315.1C T489C A750G A1438G G1462T G1598A A2706G C4242T A4769G G5460A C6020T C7028T T8143C T8279C A8701G A8860G T9540C A10398G C10400T A10750G T10873C G11719A A12279G C12705T C12792T C14766T T14783C T14992C G15043A G15301A A15326G A15769G A15859G T16092C C16111T C16192T C16223T A16275G T16519C GQ337548 Palanichamy Haplogroup U2b2 07-DEC-2015 A73G T146C A234G A263G 315.1C A341G 523.1C 523.2A 523.3C 523.4A A750G A1438G A1811G G1888A A3465G A4129G A4769G A5186T C7028T A8860G C9094T T10828C A11467G G11719A C12106T T12285C A12308G G12372A A12507G G13194A C14766T C15049T A15326G G15575A A16051G T16086C C16259A C16267T C16291T A16326G C16353T GQ337549 Palanichamy Haplogroup M3c2 07-DEC-2015 A73G A263G 309.1C 315.1C T482C T489C C522- A523- A547G A750G A1438G A2706G A4769G C7028T G7897A A8701G A8860G G9064A T9540C A10398G C10400T T10873C G11719A C12705T A13350G C14766T T14783C G15043A G15301A A15326G T16126C T16154C C16223T T16519C GQ337550 Palanichamy Haplogroup R5a2a 07-DEC-2015 A73G T152C A263G 315.1C C522- A523- A750G A1438G A2706G A4769G C7028T T8594C A8860G A10754G A11293G G11719A C12061T C13626T T13635C G14040A G14544A C14766T G15043A A15326G C15385T C16266T T16304C T16311C T16356C T16519C A16524G GQ337551 Palanichamy Haplogroup M5a 07-DEC-2015 A259G A263G 309.1C 309.2C 315.1C T489C G709A A750G A1438G G1888A A2706G G3173A C3921T C4096T A4769G C7028T A8701G A8860G T9540C A10398G C10400T T10873C G11719A T12477C C12705T T13869C G14323A C14766T T14783C G15043A G15301A A15326G G16129A C16223T T16311C T16519C GQ337552 Palanichamy Haplogroup U2a1a 07-DEC-2015 A73G A263G 315.1C A750G A1438G A1811G A2706G A4769G T6221C C7028T G8572A A8860G G8879A A11467G G11719A A12308G G12372A C14766T A14893G A15326G T15622C A16051G T16093C T16154C A16206C A16230G T16311C GQ337553 Palanichamy Haplogroup M4 07-DEC-2015 A73G A263G 315.1C T489C A750G A1438G A2706G A4769G T6620C C7028T G7859A A8701G A8860G T9540C A10398G C10400T T10873C G11719A G12007A C12705T T12879C A14687G C14766T T14783C G15043A G15301A A15326G T15530C A15758G G16145A C16176T C16223T C16261T T16311C T16519C GQ337554 Palanichamy Haplogroup M6a2 07-DEC-2015 A73G T152C C194T G228A A263G 309.1C 315.1C 455.1C C459- C461T T489C C522- A523- A750G A1438G A2706G A3537G A4769G T5063C T5082C A5301G A5558G C7028T A7118G A8701G A8860G T9540C A10398G C10400T T10640C T10873C G11719A C12705T A14128G C14766T T14783C G15043A G15301A A15326G C16223T T16231C C16291T G16319A T16362C T16519C GQ337555 Palanichamy Haplogroup M3d 07-DEC-2015 A73G A263G 309.1C 315.1C T482C T489C A750G A1438G A2706G A4769G C7028T A8701G A8860G T9088C G9266A T9540C A10398G C10400T T10873C G11719A T11827C C12705T C14766T T14783C G15043A G15301A A15326G T16126C C16168T C16223T C16344T T16519C GQ337556 Palanichamy Haplogroup M5b2a 07-DEC-2015 A73G A263G 309.1C 315.1C T489C C522- A523- A750G A1438G G1888A A2706G G3591A A3744G A4769G A6806G C7028T T8005C A8701G A8784T A8860G T9540C A10398G C10400T T10873C G11719A C12705T T13174C G13368A C14766T T14783C G15043A G15301A A15326G C15608T G16048A G16129A C16223T T16519C GQ337557 Palanichamy Haplogroup M2c 07-DEC-2015 A73G T146C A263G 309.1C C370A C447G T489C C522- A523- A750G A1438G G1598A T1780C G1888A A2706G G3438A A3729C T4216C A4769G A5529G C7028T A8701G A8860G T9540C A10157G A10398G C10400T T10873C A11083G G11719A C11881T T12657C C12705T C13212T C14766T T14783C C14800T G15043A G15301A A15326G T15670C A15929G A16183- T16189C 16193.1C C16223T A16227G A16258C T16263C G16274A GQ337558 Palanichamy Haplogroup M35 07-DEC-2015 A73G G143A A263G 309.1C 315.1C T489C A750G A1438G T2442A A2706G A4769G C5027T T5528C T6866C C7028T T7954G A8701G A8860G T9540C T10057C C10128T C10349T A10398G C10400T T10873C G11719A C11758T G12561A C12705T T13500C C14766T T14783C G15043A G15301A A15326G G16129A A16215G C16223T A16284G T16325C C16327T G16398A T16519C GQ337559 Palanichamy Haplogroup R30b 07-DEC-2015 A73G G228A A263G 315.1C A373G A750G T961C 965.1C 965.2C A1438G A2706G A3933G A4769G G6305A C7028T G7316A G8584A C8650T A8860G T11075C G11719A T12285C C13335T C14058T C14766T A15326G G16129A C16266T C16290T A16318G C16320T T16362C T16519C GQ337560 Palanichamy Haplogroup M30 07-DEC-2015 A73G T195A A263G 315.1C T489C C522- A523- A750G A1438G A2706G G3834A A4769G 5899.1C C7028T A8701G A8860G T9540C A10398G C10400T T10873C G11719A G12007A C12504T C12705T T14110C C14766T T14783C G15043A G15301A A15326G G15431A C16223T C16234T T16362C T16519C GQ337561 Palanichamy Haplogroup M3 07-DEC-2015 A73G T195C G207A A263G 315.1C T482C T489C A750G A1438G A2706G T3394C A4769G C7028T A7245G A8701G C8785T A8860G T9540C A10398G C10400T T10873C A11167G G11719A G11914A C12705T C14766T T14783C G15043A G15301A A15326G A15951G T16126C C16185T C16223T T16519C GQ337562 Palanichamy Haplogroup M65a 07-DEC-2015 A73G A263G 309.1C 315.1C T489C C511T 523.1C 523.2A A750G C922A A1438G A2706G A4769G A4916G G6917A C7028T A8701G A8860G T9540C A10398G C10400T T10873C G11719A G12007A C12705T A13651G C14766T T14783C G15043A G15301A A15326G C16223T A16289G T16519C GQ337563 Palanichamy Haplogroup M30 07-DEC-2015 A73G C150T T195A A263G 315.1C T489C C522- A523- A750G A1299G A1438G A2706G A4769G C7028T A8701G A8860G C9245T T9540C C10281T A10398G C10400T T10873C G11719A G12007A C12705T C14766T T14783C G15043A G15301A A15326G G15431A C16223T C16234T T16519C GQ337564 Palanichamy Haplogroup M5b 07-DEC-2015 A73G A263G 309.1C 315.1C T489C C522- A523- G709A A750G A1438G G1888A A2706G G3010A G3438A A4769G G6261A G6366A C7028T G8251A A8701G A8784T A8860G T9540C A10398G C10400T T10873C G11719A C12705T G13368A C14766T T14783C G15043A G15301A A15326G A15758G G15930A G16129A C16223T T16362C T16519C GQ337565 Palanichamy Haplogroup M35a1 07-DEC-2015 A73G T199C A263G 315.1C T482C T489C A750G A1438G A2706G A4769G T5426C A5432G C7028T A8701G A8860G T9540C A10398G C10400T C10670T T10873C G11719A G12561A C12705T C14766T T14783C G15043A G15301A A15326G A15924G T16093C C16223T T16519C GQ337566 Palanichamy Haplogroup M2a3 07-DEC-2015 A73G T146C A263G 309.1C 315.1C C447G T489C T629C A750G A1438G T1780C A2706G A4769G T5426C T5774C C7028T G7762A T7961C A8502G A8701G A8860G T9540C A10398G C10400T T10873C A11083G G11719A C12705T A12810G C14766T T14783C G15043A G15301A A15326G T15670C A16038G T16126C C16223T G16274A G16319A T16357C T16519C GQ337567 Palanichamy Haplogroup R6a2 07-DEC-2015 A73G T152C A263G 309.1C 315.1C A750G A1438G A2706G T4452C A4769G T5580C C7028T A7844G A8860G A10978G T11075C T11137C G11719A C12133T T12285C C14058T T14218C C14766T T15067C A15326G C16114G G16129A T16362C T16519C GQ337568 Palanichamy Haplogroup R6a2 07-DEC-2015 A73G A263G 315.1C T477C A750G A1438G A2706G A4769G A5894G C7028T G7897A A8860G A10398G T11075C G11719A C12133T T12285C C14058T C14766T T15067C A15113G G15314A A15326G G16129A G16213A T16362C T16519C GQ337569 Palanichamy Haplogroup M53 07-DEC-2015 A73G A240G A263G 315.1C A390T T489C C522- A523- C569T T593C A750G A1041G A1438G T2010C A2706G A4769G T5493C G5821A T6719C C7028T G7805A A8701G A8860G C9302T T9540C T10084C A10398G C10400T T10873C A11167G A11560G G11719A G12630A C12705T C14766T T14783C G15043A G15301A C15315T A15326G A16051G T16093C C16223T A16316G T16519C GQ337570 Palanichamy Haplogroup U2c1 07-DEC-2015 A73G T146C T152C A263G 315.1C G709A A750G A1438G A1811G A2706G A4721G A4769G C5790A C6077T C7028T T8023C C8676T A8860G C9767T A11467G G11719A A11890G A12308G G12372A A12530G C14766T T14935C A15061G T15214C A15326G A16051G C16234T T16356C GQ337571 Palanichamy Haplogroup M2a'b 07-DEC-2015 A73G G143A T152C T195C A263G T310C C447G T489C A750G A1438G T1780C A2706G A4769G A6647G C7028T G7337A C8212T A8502G T8567C A8701G A8860G T9540C T9899C A10398G C10400T T10873C A11083G G11518A G11719A C12705T T13254C T13281C G13708A C14766T T14783C G14861A G15043A A15253G G15301A A15326G T15670C C16187T C16223T C16234T G16274A G16319A C16320T G16518T T16519C GQ337572 Palanichamy Haplogroup M 07-DEC-2015 A73G G143A T195C T199C T204C G228A C262T A263G 315.1C T489C C522- A523- A750G A1313G A1438G A2706G A2757G A4769G T4802C G6305T C7028T C7469T A8701G A8860G T9540C A10398G C10400T A10754G T10873C C11197T T11410C G11719A A11908G A12366G C12705T C12918T A12961G T14299C C14766T T14783C G15043A G15301A A15326G G15930A T16086C C16218T C16223T C16260T C16270T T16362C GQ337573 Palanichamy Haplogroup M17c1a1a 07-DEC-2015 A73G G143A A263G 309.1C 315.1C T489C C522- A523- A750G G930C A1438G G1598A A2706G A2833G T4688C A4769G T6367C C7028T G8155A A8701G A8860G T9540C G9966A A10398G C10400T T10873C G11719A C12705T C12973T A13651G C14766T T14783C G15043A G15301A C15315T A15326G C15853T A16182G T16209C C16223T A16233G C16261T G16274A T16304C T16519C GQ337574 Palanichamy Haplogroup M13b1 07-DEC-2015 A73G A263G 309.1C 315.1C T489C G709A A750G A1438G A2706G A3378G T4232C A4769G G5773A G6023A T6253C T6413C C7028T G7789A 8276.1C 8276.2C T8277C T8279C A8701G A8860G G9182A T9540C G10172A A10398G C10400T T10873C C11665A G11719A C12621T C12705T C14766T T14783C G15043A G15301A A15326G C15468T A15924G G15930A C16223T C16239T T16263C T16325C T16381C T16519C
---------------- GQ337656 Palanichamy Haplogroup M71 07-DEC-2015 A73G C151T G185A A263G 309.1C 315.1C T489C A750G A1438G A2706G A4769G T5250C T6680C C7028T A8454G A8701G A8718G A8860G T9540C A10398G C10400T T10873C G11719A A12358G C12687T C12705T G12756A G13711A C14766T T14783C G15043A G15301A A15326G T15458C G15617A A16182- A16183- T16189C 16193.1C 16193.2C C16223T T16271C T16311C T16519C GQ337657 Palanichamy Haplogroup N8 07-DEC-2015 A73G T146C T152C A263G T310C A750G A1438G A2706G A2760G T3027C T3398C G3666A A4769G T4967C G5262A C7028T A7430G T7885C T7961C A8188G G8723A A8860G A10398G G11719A C12705T A13710G G13759A A14185G C14766T C15211T A15326G G15803A C16188T C16223T G16274A C16278T T16311C T16519C GQ337658 Palanichamy Haplogroup M51b 07-DEC-2015 A73G C150T T152C G228A A263G 315.1C T489C A750G A1438G G1664A A2706G A2833G C4221T C4697T A4769G T4973C C6455T C7028T A8701G A8860G A9156G C9470T T9509C T9540C C9650T A10398G C10400T T10873C G11719A C12705T A13722G T13830C T14110C C14356T A14687G C14766T T14783C G15043A G15301A G15317A A15326G T16189C C16223T C16278T GQ337659 Palanichamy Haplogroup M17c1a 07-DEC-2015 A73G G143A A189G T195C A263G 309.1C 315.1C T489C A750G G930C A1438G G1598A A2706G A4769G C7028T C7287T A8701G T8762C A8860G A9202G T9540C A10398G C10400T T10873C G11719A A12172G C12705T C12973T A13651G C14766T T14783C G15043A A15182G G15301A A15326G T16209C C16223T A16233G C16291T T16304C T16311C GQ337660 Palanichamy Haplogroup N8 07-DEC-2015 A73G A263G 309.1C 315.1C A750G A1438G A2706G A2760G T3027C A4769G G5261A C7028T T7885C T7961C A8041G A8188G A8860G A10398G T11353C G11719A G12618A C12705T A13710G T14034C C14766T C15211T A15326G G15773A C16223T T16263C G16274A T16311C A16343G T16357C T16519C GQ337661 Palanichamy Haplogroup M22a 07-DEC-2015 A73G T159C A263G 309.1C 309.2C 315.1C T489C T710C A750G A1438G A2706G T4639C A4769G T6071C T6776C C7028T A8701G A8860G T9316C T9540C T9647C C9815N C9816N A9817N C9818N G9819N G9820N A9821N C9822N T9823N T9824N C9825N A9826N C9827N G9828N T9829N C9830N A9831N T9832N T9833N A9834N T9835N T9836N G9837N G9838N C9839N T9840N C9841N A9842N A9843N C9844N T9845N T9846N T9847N C9848N C9849N T9850N C9851N A9852N C9853N T9854N A9855N T9856N C9857N T9858N G9859N C9860N T9861N T9862N C9863N A9864N T9865N C9866N C9867N G9868N C9869N C9870N A9871N A9872N C9873N T9874N A9875N A9876N T9877N A9878N T9879N T9880N T9881N C9882N A9883N C9884N T9885N T9886N T9887N A9888N C9889N A9890N T9891N C9892N C9893N A9894N A9895N A9896N C9897N A9898N T9899N C9900N A10398G C10400T T10873C G11719A C12705T C14766T T14783C G15043A G15301A A15326G C16223T C16290T T16304C GQ337662 Palanichamy Haplogroup M3c1a 07-DEC-2015 A73G T152C A263G 309.1C 315.1C T482C T489C C522- A523- A750G A1438G A2706G A4769G C7028T A8701G A8860G G9064A T9540C G10365A A10398G C10400T T10632C T10873C G11719A A12634G C12705T T13602C A14440G C14766T T14783C G15043A T15097C G15301A A15326G A16183- T16189C 16193.1C 16193.2C C16223T C16294T T16519C GQ337663 Palanichamy Haplogroup M65b 07-DEC-2015 A73G T204C G207A A263G 315.1C T489C C511T T710C A750G A1438G A2706G T3398C C4456T A4769G T6620C C7028T C8559T A8701G A8860G G8865A T9540C A10398G C10400T T10873C G11719A G12007A C12705T T14182C C14766T T14783C G15043A G15301A A15326G C16188T C16223T C16256T C16266T T16311C C16365T T16519C GQ337664 Palanichamy Haplogroup M5c1 07-DEC-2015 A73G T152C A153G A200G A263G T310C G316- T319C T489C A750G A1438G G1888A A2706G G4048A A4769G C4851T A5319G A5933T A6218G T6413C G6917A C7028T A7055G A8701G G8790A A8860G T9540C A10398G C10400T T10873C G11719A C12705T G13194A C14766T T14783C G15043A G15301A A15326G T16093C G16129A A16182- A16183- T16189C 16193.1C 16193.2C C16223T A16399G T16468C T16519C GQ337665 Palanichamy Haplogroup M35 07-DEC-2015 A73G A263G 315.1C T489C A750G A1438G A1842G T2442A A2706G T3540C A4769G C5027T T6866C C7028T T7954G A8701G A8860G T9540C A10398G C10400T T10873C C11215T T11353C G11719A G12561A C12705T A13269G T13500C C14766T T14783C G15043A G15301A A15326G G16129A C16223T A16284G T16311C C16327T G16398A T16519C GQ337666 Palanichamy Haplogroup M2a 07-DEC-2015 A73G A263G 309.1C 309.2C 315.1C C447G T489C A750G A1438G T1780C A2706G A4769G A4965G G5252A C7028T T7961C G8155A A8396G A8502G A8701G A8860G T9540C T9758C A10398G C10400T T10873C A11083G G11719A G11914A C12362T C12705T A12810G C14766T T14783C G15043A G15301A A15326G T15670C T16075C T16086C A16182- A16183- T16189C 16193.1C 16193.2C C16223T C16270T G16319A T16352C T16519C GQ337667 Palanichamy Haplogroup M3a2 07-DEC-2015 A73G A263G 309.1C 309.2C 315.1C T482C T489C C522- A523- A750G A1438G A2706G G4580A A4769G G5783A T6635C C7028T A8701G A8860G T9540C A10398G C10400T C10727T T10873C G11377A G11719A C12393T C12705T C14766T T14783C G15043A G15301A A15326G T16126C C16223T C16278T T16519C GQ337668 Palanichamy Haplogroup M30 07-DEC-2015 A73G T195A A263G 315.1C T489C C522- A523- A750G A1438G A2706G A4769G C7028T A8405G A8701G A8860G G9053A T9540C A10398G C10400T T10873C G11719A G12007A C12705T C14766T T14783C G15043A G15301A A15326G G15431A T16093C C16223T A16293G T16519C GQ337669 Palanichamy Haplogroup R30b2 07-DEC-2015 A73G G121A A263G 309.1C 315.1C A373G A750G A1438G A2706G A4769G C6290T A6599G C7028T C7280T G7702A A7843G G8584A A8860G G11719A A13539G C14766T C14809T A15326G C16242T C16292T A16497G T16519C GQ337670 Palanichamy Haplogroup N5 07-DEC-2015 A73G G228A A234G A263G 309.1C 315.1C G709A A750G A1438G G1719A A2706G A4769G A4824G T5063C T6221C A6974G C7028T A7076G A8860G T9128C A9545G T11626C G11719A C12705T A13434G C14766T G15119A A15326G C15640T C16111T T16144C C16223T C16261T T16311C GQ337671 Palanichamy Haplogroup R30a1 07-DEC-2015 A73G A263G 309.1C 315.1C 523.1C 523.2A 523.3C 523.4A A750G A1438G G2056A A2706G G3316A T4232C A4769G T5442C G6764A C7028T G8584A A8860G G9142A A9156G A9242G C9869G C10199T C11047A G11719A T12714C T13161C A13773G C14766T T15055C A15326G T16172C C16278T T16519C GQ337672 Palanichamy Haplogroup R30 07-DEC-2015 A73G A263G 309.1C 315.1C A750G A1438G C2331A T2483C A2706G C4025T A4769G T5074C T5201C C7028T G7912A A8508G G8584A A8860G G11719A C12115T G13759A C13792T C14766T A15326G A15924G C16257T C16291T T16311C T16519C GQ337673 Palanichamy Haplogroup M18a 07-DEC-2015 A73G A93G C194T T246C A263G 315.1C T489C G709A A750G A1438G A2706G A3334G A4769G C7028T A8701G A8860G T9540C A10398G C10400T T10873C G11719A G12007A C12498T C12705T G13135A A14536G C14766T T14783C G15043A G15301A A15326G C16223T A16318T T16519C GQ337674 Palanichamy Haplogroup M9a5 07-DEC-2015 A73G C150T A153G A263G 309.1C 315.1C A385G T489C A750G A1438G A2706G T3394C G4491A A4769G C7028T G8155A A8701G A8860G T9540C A10398G C10400T T10873C G11719A C12237T C12705T T14308C C14766T T14783C T14894C G15043A G15301A A15326G T15530C C16223T C16234T T16356C T16362C GQ337675 Palanichamy Haplogroup M71 07-DEC-2015 A73G G143A T146C A263G 309.1C 309.2C 315.1C T489C A750G T1284C A1438G A2706G A4769G C7028T A8440G A8701G A8718G G8838A A8860G T9540C T9615C A10398G C10400T T10873C G11719A T12681C C12705T A13407G C14766T T14783C G15043A G15301A A15326G T15458C T16093C G16129A T16140C C16223T T16271C C16295T T16304C GQ337676 Palanichamy Haplogroup N10a 07-DEC-2015 A73G G185A A189G A263G 309.1C 315.1C C522- A523- A1438G A2706G C3543T A3873G A4562G A4769G C5318T A5581G C6314T C7028T G7853A A8860G T9899C G10373A G11719A T12136C G12561A G12651A C12705T A13434G T13500C G13928C A14022G C14766T C14953T C15211T A15326G T16172C A16183- T16189C 16193.1C C16223T T16362C GQ337677 Palanichamy Haplogroup M2a'b 07-DEC-2015 A73G G143A T146C T195C A263G 309.1C 315.1C A337G C447G T489C A750G A1438G T1780C A2706G T3372C T3864C A4769G A6647G C7028T G8251A A8502G A8701G A8860G T9540C G9548A T9899C A10398G C10400T T10873C A11083G G11518A G11719A C12705T T13254C T13281C T14502C C14766T T14783C G14861A G15043A A15253G G15301A A15326G T15670C C16187T C16223T G16274A G16319A C16320T T16362C T16519C GQ337678 Palanichamy Haplogroup M2b1 07-DEC-2015 A73G T152C C182T T195C A263G 309.1C 309.2C 315.1C C447G T489C C522- A523- A750G A1438G A1453G T1780C A1842G A2706G G2831T C3630T A4769G C5295T T5420C G5744A G6260A A6647G T6965G C7028T A7154G A8502G A8701G A8860G T9540C T9899C A10398G C10400T T10873C A11083G G11719A C12705T T13254C C13494T A14314G T14783C G15043A G15301A A15326G T15670C 16169.1C A16183- T16189C 16193.1C T16209C C16223T G16274A G16319A C16320T T16519C GQ337679 Palanichamy Haplogroup R30a1 07-DEC-2015 A73G A263G 309.1C 315.1C A750G A1438G G2056A A2706G G3316A T4047C A4225G A4231G T4232C T4733C A4769G T5442C G6764A C7028T G8584A A8860G A9156G A9242G C11047A G11719A C11735T T12714C A13933G C14766T T15055C A15326G T16209C C16256T GQ337680 Palanichamy Haplogroup M2a1a 07-DEC-2015 A73G T195C T204C G207A A263G 309.1C 309.2C 315.1C C447G T489C C522- A523- A750G A1438G T1780C A2706G A4769G A4965G G5252A C7028T A7732G T7961C A8396G A8502G A8701G A8860G T9540C T9758C T9965C A10398G C10400T T10873C A11083G G11719A C12705T A12810G C14766T T14783C G15043A G15301A A15326G T15670C C16223T C16270T G16319A T16352C G16390A GQ337681 Palanichamy Haplogroup M30 07-DEC-2015 A73G T195A A263G 315.1C T489C C522- A523- A750G A1438G T1717C G1719A A2706G A4769G C6341T C7028T A8701G A8860G T9540C A10398G C10400T T10873C C11647T G11719A G12007A C12705T C14766T T14783C G15043A G15301A G15314A A15326G G15431A C16111T C16223T T16519C GQ337682 Palanichamy Haplogroup M3a1 07-DEC-2015 A73G T146C T204C A263G 309.1C 315.1C T393C T482C T489C A750G A1438G A2706G G4580A T4703C A4769G C5438T C7028T A8701G A8860G T9540C A9667G A10398G C10400T T10873C G11719A C12705T C13320T C14766T T14783C G15043A G15301A A15326G T16126C C16223T T16519C GQ337683 Palanichamy Haplogroup M33a2a 07-DEC-2015 A73G C150T A263G 309.1C 315.1C C462T T489C A750G A1438G G1709A G2361A A2706G G3591A A4769G C5124A A5423G C7028T C8562T A8701G A8860G T9540C A10398G C10400T T10873C G11719A C12705T A13731G C14766T T14783C G15043A G15301A A15326G T15908C C16169T T16172C C16223T C16278T T16519C GQ337684 Palanichamy Haplogroup N22 07-DEC-2015 A73G C150T A263G 315.1C A335G A750G A942G A1438G G1503A A2706G A4769G G4820A T5130C C7028T A7158G A8860G A9254G T11365C G11719A C12705T T13819C G13980A C14766T A15326G C16168T C16223T T16249C GQ337685 Palanichamy Haplogroup M55 07-DEC-2015 A73G G94A T173C T204C A263G 309.1C 315.1C T482C T489C G709A A750G G1393A A1438G A2706G T3540C G4491A A4769G G5563A C7028T 8276.1T T8277C C8278T A8701G A8860G G9477A T9540C T9938C A10398G C10400T T10873C A11314G G11719A C12705T C14766T T14783C G15043A G15301A A15326G T16217C C16223T G16319A T16381C T16519C GQ337686 Palanichamy Haplogroup N10b 07-DEC-2015 A73G C150T T199C A263G 309.1C 315.1C G709A A1438G T2010C A2706G A2707C A4769G T4977C A5581G A6245G C7028T C8130T T8167C A8860G C9459T T10345C G11719A C12092A C12705T A14053G C14766T A15226G A15326G C16069T T16172C C16223T T16271C G16274A C16278T C16291A T16298C T16362C GQ337687 Palanichamy Haplogroup M75 07-DEC-2015 A73G T146C C150T T152C A263G 309.1C 309.2C 315.1C T489C A750G A1438G G1719A A2706G G3316A C3453T G3666A A4769G G5147A G6480A C7028T C7313T A7765G A8701G A8860G T9540C G9755A A10398G C10400T T10873C G11719A A12279G T12609C C12705T A13269G T13768C T14110C A14224T C14356T C14766T T14783C G15043A T15109C G15301A A15326G T16068C T16126C A16182- A16183- T16189C 16193.1C 16193.2C C16223T G16319A T16325C GQ337688 Palanichamy Haplogroup M51a2 07-DEC-2015 A73G C150T T152C A263G 315.1C T489C A750G A1438G T1822C A2706G A3384G A4136G C4697T A4769G T4973C C5461T T6167C C7028T A8701G A8860G A9100G T9509C T9540C A10398G C10400T T10873C G11719A G12236A C12705T T14110C C14356T A14527G A14687G C14766T T14783C G15043A G15301A G15317A A15326G T15383C T16189C C16223T C16278T GQ337689 Palanichamy Haplogroup M13b1 07-DEC-2015 A73G A210G A263G 309.1C 309.2C 315.1C T489C G709A A750G A1438G A2706G A3378G A4769G G6023A T6253C T6413C C7028T G7789A 8276.1C 8276.2C T8277C T8279C A8701G A8860G G9182A T9540C G10172A A10398G C10400T T10873C T11365C C11665A G11719A C12621T C12702T C12705T C14766T T14783C G15043A G15301A A15326G C15468T A15924G G15930A C16223T C16239T T16263C T16381C T16519C GQ337690 Palanichamy Haplogroup M57 07-DEC-2015 A73G T152C A263G 309.1C 315.1C T489C C522- A523- A750G A1438G A2706G G3483A C4020T A4769G C6749T C7028T A8701G C8748T A8860G A9355G T9540C A10398G C10400T T10873C A11101G G11719A C12705T A13651G A14750G C14766T T14783C G15043A G15301A A15326G C16223T C16270T T16311C T16519C
List, As many will have noticed FTDNA have in recent week been tinkering with BigY matching and haplogroup classifications. It is pleasing that FTDNA are putting so much effort into this, as there are many complex issues involved. For my own subclade where there are close to 20 BigYs, FTDNA are making good progress, and now have the tree structure of recognised SNPs for my smaller subclade starting to make it to their tree and system. The Y haplotree is becoming increasingly complex as new data floods in for more recent branches. There may be a little tweaking of the system to knock bits into the right shape, but thanks from me to FTDNA for their efforts and progress so far. John. Sent from my iPad
One possible explanation: If you are using v3 data, there are ~ 1,000,000 SNPs to use when you're comparing M kits with M kits. A kits have only 700,000 SNPs available for comparison, so it's harder to reach the SNP threshold. But I'm puzzled that there was a reduction from your original M kit to the fixed M kit. That implies that at least some of the fixes created opposite homozygotes between potential matches. Could you do a few one-to-one comparisons of the dropouts with different SNP and mismatch thresholds? Ann Turner On Wed, Dec 16, 2015 at 12:41 PM, David Schroeder via < genealogy-dna@rootsweb.com> wrote: > Continuing with my analysis of raw data files that have been 'fixed' for > no-calls using SNP information from matching RSIDs found in 23andme and > AncestryDNA. > > I uploaded the fixed files to gedmatch. My original kit from my 23andme was > already in place. I used the Tier 1 utility, "Matching Segment Search." I > used a minimum segment size of 5 cm without graphic. I downloaded the > matching list of segments into an Excel Spreadsheet. I used the segment > matches as I feel I get better information than the "one-to-many." > > Here are my results: > > 1925 gedmatch_segment_matches_M080859 (original 23andme kit with a 2.2 % > error rate) > > 1741 gedmatch_segment_matches_M306764 (fixed 23andme kit with a 1.5 % > error > rate- about a 10% reduction in segment matches) > > 1263 gedmatch_segment_matches_A146269 (fixed Ancestry kit with a 1.0% > error > rate - I haven't uploaded my original AncestryDNA file) > > I do have issues with a lot of pileups on chromosome 15: > > Number of Segment Matches on Chromosome 15 - large number of pileups > Original 23andme: 603 > Fixed 23andme: 482 > Fixed Ancestry: 197 > > Compared to number of Segment Matches on Chromosome 6: > Original 23andme: 75 > Fixed 23andme: 82 > Fixed Ancestry: 84 > > It is an interesting situation. I expected fewer matches on my fixed kit, > but I did not expect so much less on my ancestry kit. Any ideas why? I am > going to dig deeper into the data. > > David > > -----Original Message----- > From: David Schroeder [mailto:dschroed991@sbcglobal.net] > Sent: Monday, December 14, 2015 10:48 PM > To: 'genealogy-dna@rootsweb.com' > Subject: RE: [DNA] My Raw Data Files - Comparison 23andme vs AncestryDNA > > I was able to 'fix' the no-calls for matching RSIDs on both Ancestry and > 23andme when one, or the other, was not a no-call. I fixed 6,632 on 23andme > and 6,708 on Ancestry. > > Interestingly enough, there were 3,833 that were left as no-calls on both > 23andme and AncestryDNA for the same RSIDs. I am wondering if these are the > result of particularly difficult locations to test, or perhaps the SNP is > rare in my genome? The tests were over two years apart. > > I uploaded both fixed raw data files to gedmatch to see how it may affect > my > 'one-to-many' matches. (Will have to wait on the processing). I ran the > Gedmatch File Diagnostic Utility, and the fixed files had significantly > reduced my error rates. It seems that most of my errors are in the X, Y or > MT Chromosomes. > > David > > > > ------------------------------- > To unsubscribe from the list, please send an email to > GENEALOGY-DNA-request@rootsweb.com with the word 'unsubscribe' without > the quotes in the subject and the body of the message >
Thank you, Ann. I'll forward the link to my cousin. I wasn't aware of the spreadsheet. Lindsey -----Original Message----- From: Ann Turner <dnacousins@gmail.com> To: Lindsey Britton <lplantagenet@aol.com>; DNA Genealogy Mailing List <genealogy-dna@rootsweb.com> Sent: Wed, Dec 16, 2015 2:55 pm Subject: Re: [DNA] Any Extra FF Coupons? Check out this spreadsheet where people have been posting coupons they're not using. It's also handy because coupons can be marked as used. https://docs.google.com/spreadsheets/d/1CgXRKz2TySvRqSInveSIYoslO7yexAc9d-BzpNhaY1c/edit?usp=sharing Ann Turner On Wed, Dec 16, 2015 at 11:45 AM, Lindsey Britton via <genealogy-dna@rootsweb.com> wrote: I have a cousin who is interested. Lindsey ------------------------------- To unsubscribe from the list, please send an email to GENEALOGY-DNA-request@rootsweb.com with the word 'unsubscribe' without the quotes in the subject and the body of the message
I have a cousin who is interested. Lindsey
Continuing with my analysis of raw data files that have been 'fixed' for no-calls using SNP information from matching RSIDs found in 23andme and AncestryDNA. I uploaded the fixed files to gedmatch. My original kit from my 23andme was already in place. I used the Tier 1 utility, "Matching Segment Search." I used a minimum segment size of 5 cm without graphic. I downloaded the matching list of segments into an Excel Spreadsheet. I used the segment matches as I feel I get better information than the "one-to-many." Here are my results: 1925 gedmatch_segment_matches_M080859 (original 23andme kit with a 2.2 % error rate) 1741 gedmatch_segment_matches_M306764 (fixed 23andme kit with a 1.5 % error rate- about a 10% reduction in segment matches) 1263 gedmatch_segment_matches_A146269 (fixed Ancestry kit with a 1.0% error rate - I haven't uploaded my original AncestryDNA file) I do have issues with a lot of pileups on chromosome 15: Number of Segment Matches on Chromosome 15 - large number of pileups Original 23andme: 603 Fixed 23andme: 482 Fixed Ancestry: 197 Compared to number of Segment Matches on Chromosome 6: Original 23andme: 75 Fixed 23andme: 82 Fixed Ancestry: 84 It is an interesting situation. I expected fewer matches on my fixed kit, but I did not expect so much less on my ancestry kit. Any ideas why? I am going to dig deeper into the data. David -----Original Message----- From: David Schroeder [mailto:dschroed991@sbcglobal.net] Sent: Monday, December 14, 2015 10:48 PM To: 'genealogy-dna@rootsweb.com' Subject: RE: [DNA] My Raw Data Files - Comparison 23andme vs AncestryDNA I was able to 'fix' the no-calls for matching RSIDs on both Ancestry and 23andme when one, or the other, was not a no-call. I fixed 6,632 on 23andme and 6,708 on Ancestry. Interestingly enough, there were 3,833 that were left as no-calls on both 23andme and AncestryDNA for the same RSIDs. I am wondering if these are the result of particularly difficult locations to test, or perhaps the SNP is rare in my genome? The tests were over two years apart. I uploaded both fixed raw data files to gedmatch to see how it may affect my 'one-to-many' matches. (Will have to wait on the processing). I ran the Gedmatch File Diagnostic Utility, and the fixed files had significantly reduced my error rates. It seems that most of my errors are in the X, Y or MT Chromosomes. David
I think he means if the accounts match, each person is given a unique account id So it's matches those, not the names -----Original Message----- From: Andreas West via <genealogy-dna@rootsweb.com> To: Jim Bartlett <jim4bartletts@verizon.net>; genealogy-dna <genealogy-dna@rootsweb.com> Cc: Jim Leahy <j_leahy01@nc.rr.com> Sent: Tue, Dec 15, 2015 8:24 pm Subject: Re: [DNA] Basic ICW Questions: That's kind of surprising, Jim. Do you mean that if you and I match on FTDNA and we both have John Smiths in our matches (albeit different people with that common name) then: - one of them - both of them Would show up as ICW? I can't imagine they go just by name. Here's what I think they do: 1) all matching segments between two people are in a table 2) if you (A) and I (B) have a third person (or more) irregardless of the exact position (as the table only store the status of who matches with whom, not where as where could be more than one record/segment) then it would show this third person as ICW to both of us So it's based on atDNA but it's missing the detailed information needed to do triangulation Andreas > On 15 Dec 2015, at 23:00, Jim Bartlett via <genealogy-dna@rootsweb.com> wrote: > > Jim > > The ICW algorithm does not include arDNA. It does not include genealogy. It only matches names between your Match list and someone else's Match list. > > Jim - www.segmentology.org > >> On Dec 15, 2015, at 9:15 AM, Jim Leahy via <genealogy-dna@rootsweb.com> wrote: >> >> How does FTDNA determine the ICW status? >> >> In order for FTDNA to calculate the ICW status of an individual there must be an algorithm to evaluate the at-DNA results for that individual against some criteria based on the at-DNA results from the base pair. Has anybody been successful in back-engineering or divining the logic used for this comparison? >> >> A related question; what does the ICW "X status" actually tell us? >> >> I have seen a statement implying that it means that these individuals are "blood relatives". That would be great but seems a little too far reaching. >> >> Puzzled! >> >> Jim >> >> ssage > > > ------------------------------- > To unsubscribe from the list, please send an email to GENEALOGY-DNA-request@rootsweb.com 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 GENEALOGY-DNA-request@rootsweb.com with the word 'unsubscribe' without the quotes in the subject and the body of the message
What are you looking for specifically, I do not intend to purchase right now and am not even opening them. I have multiple accounts Sasa On Wed, Dec 16, 2015 at 12:03 PM, Lindsey Britton via <genealogy-dna@rootsweb.com> wrote: > > Thank you, Ann. I'll forward the link to my cousin. I wasn't aware of the spreadsheet. > > Lindsey > > > -----Original Message----- > From: Ann Turner <dnacousins@gmail.com> > To: Lindsey Britton <lplantagenet@aol.com>; DNA Genealogy Mailing List <genealogy-dna@rootsweb.com> > Sent: Wed, Dec 16, 2015 2:55 pm > Subject: Re: [DNA] Any Extra FF Coupons? > > > > Check out this spreadsheet where people have been posting coupons they're not using. It's also handy because coupons can be marked as used. > > > https://docs.google.com/spreadsheets/d/1CgXRKz2TySvRqSInveSIYoslO7yexAc9d-BzpNhaY1c/edit?usp=sharing > > > Ann Turner > > > > > On Wed, Dec 16, 2015 at 11:45 AM, Lindsey Britton via <genealogy-dna@rootsweb.com> wrote: > > > I have a cousin who is interested. > > Lindsey > > ------------------------------- > To unsubscribe from the list, please send an email to GENEALOGY-DNA-request@rootsweb.com 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 GENEALOGY-DNA-request@rootsweb.com with the word 'unsubscribe' without the quotes in the subject and the body of the message