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Thread: post Geneplaza K5 score

  1. #1
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    HM82 Z5890+CTS8144+
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    U2a1a
    Y-DNA (M)
    HM69

    United States of America India

    Post post Geneplaza K5 score

    Your Deep ancestry are mainly from West Eurasian origin

    62.3 % West Eurasian
    33.5 % Basal Eurasian A
    3.4 % Siberian Amerind
    0.9% South Eurasian
    Last edited by tipirneni; 09-06-2020 at 02:48 PM.
    Y: H-M69 -> H-M82 -> SK1225 -> H-Z5888 -> H-Z5890 -> H-CTS8144 [CTS8144/PF1741/M5498] -> Z34531 (H1a1a4b3b1a8~)
    found 2875 BCE -> Jiroft/IVC Periphery 11459 Shahr-i-Sokte BA2
    mtDNA:U2a1a

    G25 Ancients Dist 0.79 IND_Roopkund_A 51.05 IRN_Shahr_I_Sokhta_BA2 46.64 MAR_Iberomaurusian2.04PAK_Katelai_IA0.19 TKM_Gonur2_BA 0.08

    Lactose Persistence rs3213871 rs4988243 rs4988183 rs3769005 rs2236783
    found -> DA125, Kangju

  2. The Following User Says Thank You to tipirneni For This Useful Post:

     ThaYamamoto (09-06-2020)

  3. #2
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    ZanzibarSultanate

  4. #3
    Gold Class Member
    Posts
    2,218
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    India United States of America India Punjab Jammu and Kashmir
    Tipirneni Anna shows no South Eurasian but Yamamoto does? Yamamoto likely has less than half the AASI.

    I can do better. Here is Agent Lime's K6. Free of charge. LOL.

    Code:
    West_Eurasian:SWE_Viking_Age_Sigtuna,0.1271224,0.1253377,0.0747295,0.065161,0.0408658,0.0216214,0.0062957,0.010117,0.0020776,-0.0121906,-0.0015214,0.003652,-0.0001408,-0.0004635,0.0130149,0.0058408,-0.0046871,0.0030273,0.003685,0.0039164,0.0028765,0.0033256,0.0007914,0.0075659,-0.0002459
    West_Eurasian:RUS_Sintashta_MLBA,0.125389,0.1158031,0.0572615,0.0789266,0.011327,0.0284468,0.005678,0.0041909,-0.0174834,-0.0282348,-0.0024254,0.0012473,-0.0030739,-0.0212915,0.0226566,0.0124762,-0.0050555,0.0004086,-6.9e-05,-0.0007423,-0.0059089,0.0020542,0.0026159,0.0066506,-0.0039363
    Basal Eurasians:RUS_MA1,0.078538,-0.025388,0.039598,0.186049,-0.068936,0.04518,-0.048412,-0.056998,-0.019839,-0.069432,0.029879,-0.009591,0.015312,-0.045553,0.014251,0.021082,-0.007693,0,-0.003645,0.000625,-0.027327,0.002844,0.011339,-0.008314,-0.001437
    Basal Eurasians:RUS_Ust_Ishim,-0.050082,-0.11577,-0.090886,0.073644,0.027082,-0.018128,-0.00376,-0.004384,0.0452,0.010387,0.006008,-0.001798,0.000149,-0.003991,0.004614,-0.001724,-0.004955,0.004687,-0.005154,0.015382,0.006613,0.008532,-0.007641,-0.014942,0.007784
    Africans:ZAF_2100BP,-0.639686,0.058901,0.025644,0.041344,-0.00277,-0.002789,0.267912,-0.20653,0.011658,0.016766,0.002761,-0.06744,-0.01888,0.005092,0.026058,-0.013392,0.031944,0.289737,-0.092137,0.003752,-0.035188,-0.000495,0.002835,-0.000843,-0.00934
    Africans:KEN_400BP,-0.442772,0.053823,0.006788,-0.020672,0.00954,-0.012271,0.054052,-0.055844,0.07097,-0.052848,0.002923,-0.010041,-0.02438,0.002615,0.013572,-0.013657,0.02047,0.034966,0.009679,-0.005127,0.001497,0.000618,-0.000863,0.001928,-0.000718
    Africans:Dinka,-0.577083,0.0507765,-0.0003773,-0.0075098,-0.0053855,-0.0016735,-0.0176848,0.0204222,0.081145,-0.0969495,-0.02107,0.022742,-0.0383172,-0.0011698,0.0101452,-0.021347,0.0186125,-0.0094382,0.0241968,-0.0241678,0.002402,0.003308,0.001479,0.0009038,0.0096995
    Eastern_Siberians_Native Americans:USA_Alaska_TrailCreek_9000BP,0.036423,-0.284348,0.083721,0.089471,-0.075706,-0.013387,-0.11398,-0.126226,-0.003681,-0.021139,-0.00406,-0.008243,0.004906,-0.011423,0.005293,0.003315,0.000261,-0.000507,0.007039,0.009505,-0.013601,0.002844,0.011339,0.003133,-0.009939
    Eastern_Siberians_Native Americans:CHL_LosRieles_5100BP,0.047806,-0.313799,0.116907,0.0969,-0.116329,-0.018965,-0.298228,-0.353293,-0.017589,-0.016401,-0.000162,0.004346,0.001635,0.015414,-0.005157,0.004641,0.003129,-0.006081,0.004022,0.004752,0.004866,-0.002102,-0.007888,-0.002651,0.000239
    East_Eurasians:CHN_Tianyuan,-0.027318,-0.260991,-0.075424,0.071383,0.033545,-0.018407,-0.00799,-0.003,0.040291,0.021322,-0.006333,-0.005995,-0.003568,-0.00523,-0.000407,-0.000663,0.008084,0.002407,-0.001131,0.027263,-0.001747,0.008037,-0.008874,-0.010845,0.011256
    East_Eurasians:Korean,0.0250412,-0.4527568,0.0178503,-0.0647077,0.037289,0.0157108,0.0064233,0.004,-0.005863,0.0057403,-0.0736432,-0.0106405,0.0111497,-0.0059865,-0.0106765,-0.00358,0.0029555,0.0028083,-0.0010055,-0.0082537,0.0148905,-0.0025553,0.0085453,-0.0011045,-0.0156672
    East_Eurasians:Nanai,0.0300493,-0.4469345,0.086436,-0.041344,-0.0663202,-0.0483039,0.0179079,0.0224067,0.0126191,0.0194447,-0.0225721,0.0003295,-0.000996,0.0025735,-0.0077226,-0.0076901,-0.0018775,0.0085894,0.0171956,0.0167955,0.0087969,-0.0303075,-0.0142721,0.0045426,0.0021674
    South_Eurasians:AASI_NW,0.0580622775,-0.24745847,-0.325699695,0.273535685,-0.1192235925,0.1772843625,0.0055964825,0.0583613875,0.1706171175,0.13535108,-0.00361402,0.035724435,-0.030872625,0.03748403,-0.013375715,-0.1298685625,0.005831905,-0.02091509,-0.0210395975,0.054171475,0.0012073825,0.0099081,0.01941486,0.05655002,-0.064804895
    South_Eurasians:S_AASI,-0.007017607,-0.247268894,-0.229976338,0.16563825,-0.035368871,0.064331863,-0.015188881,0.027727614,0.147380455,0.101064071,-0.004664075,-0.004333522,0.003228897,0.026031903,-0.047720864,-0.045200255,0.010093749,0.000906224,0.000245098,0.039040136,0.009429353,0.024010206,-0.003068505,0.015983546,-0.010868946
    South_Eurasians:IND_Great_Andamanese_100BP,-0.018212,-0.235603,-0.128598,0.098838,0.023389,-0.003904,-0.016686,-0.003231,0.059721,0.02041,0.023222,0.004646,-0.0055,0.001239,-0.016151,-0.008884,0.009518,0.001014,-0.004902,0.026888,-0.00549,0.011994,-0.013311,-0.001205,0.000958
    Target: Velamas
    Distance: 10.3753% / 0.10375312
    35.8 BasalEurasians
    34.8 South_Eurasians
    29.0 West_Eurasian
    0.4 Africans

    Target: Punjabi_Lahore
    Distance: 8.9484% / 0.08948372
    34.8 South_Eurasians
    34.0 West_Eurasian
    31.2 BasalEurasians

    Target: Punjabi_Jat
    Distance: 10.4973% / 0.10497306
    54.2 West_Eurasian
    27.6 BasalEurasians
    17.6 South_Eurasians
    0.6 Africans

    Target: Kanjar
    Distance: 8.3202% / 0.08320191
    39.4 BasalEurasians
    30.6 South_Eurasians
    29.4 West_Eurasian
    0.6 Africans

    Target: Jatt_Pathak
    Distance: 8.6148% / 0.08614766
    57.2 West_Eurasian
    28.2 BasalEurasians
    14.6 South_Eurasians

    Target: Balochi
    Distance: 15.3511% / 0.15351123
    63.4 West_Eurasian
    24.8 BasalEurasians
    9.0 South_Eurasians
    2.8 Africans

    Target: agentlime_scaled
    Distance: 11.7433% / 0.11743305
    54.4 West_Eurasian
    27.4 BasalEurasians
    17.0 South_Eurasians
    1.2 Africans

  5. The Following 9 Users Say Thank You to agent_lime For This Useful Post:

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  6. #4
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    ZanzibarSultanate
    Quote Originally Posted by agent_lime View Post
    Tipirneni Anna shows no South Eurasian but Yamamoto does? Yamamoto likely has less than half the AASI.

    I can do better. Here is Agent Lime's K6. Free of charge. LOL.

    Code:
    West_Eurasian:SWE_Viking_Age_Sigtuna,0.1271224,0.1253377,0.0747295,0.065161,0.0408658,0.0216214,0.0062957,0.010117,0.0020776,-0.0121906,-0.0015214,0.003652,-0.0001408,-0.0004635,0.0130149,0.0058408,-0.0046871,0.0030273,0.003685,0.0039164,0.0028765,0.0033256,0.0007914,0.0075659,-0.0002459
    West_Eurasian:RUS_Sintashta_MLBA,0.125389,0.1158031,0.0572615,0.0789266,0.011327,0.0284468,0.005678,0.0041909,-0.0174834,-0.0282348,-0.0024254,0.0012473,-0.0030739,-0.0212915,0.0226566,0.0124762,-0.0050555,0.0004086,-6.9e-05,-0.0007423,-0.0059089,0.0020542,0.0026159,0.0066506,-0.0039363
    Basal Eurasians:RUS_MA1,0.078538,-0.025388,0.039598,0.186049,-0.068936,0.04518,-0.048412,-0.056998,-0.019839,-0.069432,0.029879,-0.009591,0.015312,-0.045553,0.014251,0.021082,-0.007693,0,-0.003645,0.000625,-0.027327,0.002844,0.011339,-0.008314,-0.001437
    Basal Eurasians:RUS_Ust_Ishim,-0.050082,-0.11577,-0.090886,0.073644,0.027082,-0.018128,-0.00376,-0.004384,0.0452,0.010387,0.006008,-0.001798,0.000149,-0.003991,0.004614,-0.001724,-0.004955,0.004687,-0.005154,0.015382,0.006613,0.008532,-0.007641,-0.014942,0.007784
    Africans:ZAF_2100BP,-0.639686,0.058901,0.025644,0.041344,-0.00277,-0.002789,0.267912,-0.20653,0.011658,0.016766,0.002761,-0.06744,-0.01888,0.005092,0.026058,-0.013392,0.031944,0.289737,-0.092137,0.003752,-0.035188,-0.000495,0.002835,-0.000843,-0.00934
    Africans:KEN_400BP,-0.442772,0.053823,0.006788,-0.020672,0.00954,-0.012271,0.054052,-0.055844,0.07097,-0.052848,0.002923,-0.010041,-0.02438,0.002615,0.013572,-0.013657,0.02047,0.034966,0.009679,-0.005127,0.001497,0.000618,-0.000863,0.001928,-0.000718
    Africans:Dinka,-0.577083,0.0507765,-0.0003773,-0.0075098,-0.0053855,-0.0016735,-0.0176848,0.0204222,0.081145,-0.0969495,-0.02107,0.022742,-0.0383172,-0.0011698,0.0101452,-0.021347,0.0186125,-0.0094382,0.0241968,-0.0241678,0.002402,0.003308,0.001479,0.0009038,0.0096995
    Eastern_Siberians_Native Americans:USA_Alaska_TrailCreek_9000BP,0.036423,-0.284348,0.083721,0.089471,-0.075706,-0.013387,-0.11398,-0.126226,-0.003681,-0.021139,-0.00406,-0.008243,0.004906,-0.011423,0.005293,0.003315,0.000261,-0.000507,0.007039,0.009505,-0.013601,0.002844,0.011339,0.003133,-0.009939
    Eastern_Siberians_Native Americans:CHL_LosRieles_5100BP,0.047806,-0.313799,0.116907,0.0969,-0.116329,-0.018965,-0.298228,-0.353293,-0.017589,-0.016401,-0.000162,0.004346,0.001635,0.015414,-0.005157,0.004641,0.003129,-0.006081,0.004022,0.004752,0.004866,-0.002102,-0.007888,-0.002651,0.000239
    East_Eurasians:CHN_Tianyuan,-0.027318,-0.260991,-0.075424,0.071383,0.033545,-0.018407,-0.00799,-0.003,0.040291,0.021322,-0.006333,-0.005995,-0.003568,-0.00523,-0.000407,-0.000663,0.008084,0.002407,-0.001131,0.027263,-0.001747,0.008037,-0.008874,-0.010845,0.011256
    East_Eurasians:Korean,0.0250412,-0.4527568,0.0178503,-0.0647077,0.037289,0.0157108,0.0064233,0.004,-0.005863,0.0057403,-0.0736432,-0.0106405,0.0111497,-0.0059865,-0.0106765,-0.00358,0.0029555,0.0028083,-0.0010055,-0.0082537,0.0148905,-0.0025553,0.0085453,-0.0011045,-0.0156672
    East_Eurasians:Nanai,0.0300493,-0.4469345,0.086436,-0.041344,-0.0663202,-0.0483039,0.0179079,0.0224067,0.0126191,0.0194447,-0.0225721,0.0003295,-0.000996,0.0025735,-0.0077226,-0.0076901,-0.0018775,0.0085894,0.0171956,0.0167955,0.0087969,-0.0303075,-0.0142721,0.0045426,0.0021674
    South_Eurasians:AASI_NW,0.0580622775,-0.24745847,-0.325699695,0.273535685,-0.1192235925,0.1772843625,0.0055964825,0.0583613875,0.1706171175,0.13535108,-0.00361402,0.035724435,-0.030872625,0.03748403,-0.013375715,-0.1298685625,0.005831905,-0.02091509,-0.0210395975,0.054171475,0.0012073825,0.0099081,0.01941486,0.05655002,-0.064804895
    South_Eurasians:S_AASI,-0.007017607,-0.247268894,-0.229976338,0.16563825,-0.035368871,0.064331863,-0.015188881,0.027727614,0.147380455,0.101064071,-0.004664075,-0.004333522,0.003228897,0.026031903,-0.047720864,-0.045200255,0.010093749,0.000906224,0.000245098,0.039040136,0.009429353,0.024010206,-0.003068505,0.015983546,-0.010868946
    South_Eurasians:IND_Great_Andamanese_100BP,-0.018212,-0.235603,-0.128598,0.098838,0.023389,-0.003904,-0.016686,-0.003231,0.059721,0.02041,0.023222,0.004646,-0.0055,0.001239,-0.016151,-0.008884,0.009518,0.001014,-0.004902,0.026888,-0.00549,0.011994,-0.013311,-0.001205,0.000958
    Target: Velamas
    Distance: 10.3753% / 0.10375312
    35.8 BasalEurasians
    34.8 South_Eurasians
    29.0 West_Eurasian
    0.4 Africans

    Target: Punjabi_Lahore
    Distance: 8.9484% / 0.08948372
    34.8 South_Eurasians
    34.0 West_Eurasian
    31.2 BasalEurasians

    Target: Punjabi_Jat
    Distance: 10.4973% / 0.10497306
    54.2 West_Eurasian
    27.6 BasalEurasians
    17.6 South_Eurasians
    0.6 Africans

    Target: Kanjar
    Distance: 8.3202% / 0.08320191
    39.4 BasalEurasians
    30.6 South_Eurasians
    29.4 West_Eurasian
    0.6 Africans

    Target: Jatt_Pathak
    Distance: 8.6148% / 0.08614766
    57.2 West_Eurasian
    28.2 BasalEurasians
    14.6 South_Eurasians

    Target: Balochi
    Distance: 15.3511% / 0.15351123
    63.4 West_Eurasian
    24.8 BasalEurasians
    9.0 South_Eurasians
    2.8 Africans

    Target: agentlime_scaled
    Distance: 11.7433% / 0.11743305
    54.4 West_Eurasian
    27.4 BasalEurasians
    17.0 South_Eurasians
    1.2 Africans
    Lool I think Mr Tipirneni has made a mistake when recording his results or the kit is perhaps contaminated. It's actually quite a solid calculator based on the results of others in the Autosomal section - but it does have the tendency to half non-deep ancestral African ancestry i.e. a mixed Mauritian user on here who scored 12% everywhere else hits 6% Basal/African on this; doubling gives you a rough idea of max base allele sharing. Other than that I think it's pretty good compared to most traditional calculators, Kurd does a good job of isolating specific allele excess across populations with qpdstat.

  7. The Following User Says Thank You to ThaYamamoto For This Useful Post:

     agent_lime (09-06-2020)

  8. #5
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    Brazil Azores Italy Ladinia
    Quote Originally Posted by ThaYamamoto View Post
    Lool I think Mr Tipirneni has made a mistake when recording his results or the kit is perhaps contaminated. It's actually quite a solid calculator based on the results of others in the Autosomal section - but it does have the tendency to half non-deep ancestral African ancestry i.e. a mixed Mauritian user on here who scored 12% everywhere else hits 6% Basal/African on this; doubling gives you a rough idea of max base allele sharing. Other than that I think it's pretty good compared to most traditional calculators, Kurd does a good job of isolating specific allele excess across populations with qpdstat.
    I think these low K calculators usually overestimate rather than underestimate African. If doubling the scores on the calcs would give you an idea that means that I would be 20% SSA and that the Portuguese user Pedro Ruben would be 10% SSA when in reality Pedro Ruben has no recent SSA ancestry (his results are common for Portuguese) and I am around ~9%. There's no scientific reason to believe these tests underestimate African ancestry. I know you have problems with that, but your case is just the most strange I've ever saw in that regard. The percentages are generally within an accurate range for most people depending on their ethnicity.
    Last edited by Caius Agrippa; 09-06-2020 at 08:41 PM.

  9. The Following 2 Users Say Thank You to Caius Agrippa For This Useful Post:

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  10. #6
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    ZanzibarSultanate
    Quote Originally Posted by Caius Agrippa View Post
    I think these low K calculators usually overstimate rather than understimate African. If doubling the scores on the calcs would give you an idea that means that I would be 20% SSA and that the Portuguese user Pedro Ruben would be 10% SSA when in reality Pedro Ruben has no recent SSA ancestry (his results are common for Portuguese) and I am around ~9%. There's no scientific reason to believe these tests understimate African ancestry. I know you have problems with that, but your case is just the most strange I've ever saw in that regard. The percentages are generally within an accurate range for most people depending on their ethnicity.

    Yes you're right. I forget sometimes and generalize my experience toward the product. For most they are absolutely accurate, I mean I think this one in particular is great.
    Last edited by ThaYamamoto; 09-06-2020 at 08:31 PM.

  11. The Following User Says Thank You to ThaYamamoto For This Useful Post:

     Caius Agrippa (09-06-2020)

  12. #7
    Gold Class Member
    Posts
    804
    Sex
    Location
    Leicester, UK
    Ethnicity
    Pakistani - Chakwal
    Nationality
    British
    Y-DNA (P)
    R2-S27322/R-Y62014
    mtDNA (M)
    W1c
    Y-DNA (M)
    R2-S27322/R-Y62014
    mtDNA (P)
    M5a2a1a1

    Pakistan United Kingdom
    65% West Eurasian
    16% South Eurasian
    9.6% East Eurasian
    7.4% Siberian American-Indian
    2% Basal Eurasian/Africa
    Last edited by Amber29; 09-06-2020 at 09:12 PM.
    Maternal Grandfather's Maternal Line: U7a3a4a

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  14. #8
    Gold Class Member
    Posts
    804
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    Leicester, UK
    Ethnicity
    Pakistani - Chakwal
    Nationality
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    Y-DNA (P)
    R2-S27322/R-Y62014
    mtDNA (M)
    W1c
    Y-DNA (M)
    R2-S27322/R-Y62014
    mtDNA (P)
    M5a2a1a1

    Pakistan United Kingdom
    Agent Limes version
    Target: AmbareenR
    Distance: 6.7755% / 0.06775458
    52.4 West_Eurasian
    22.8 BasalEurasians
    11.6 Africans
    8.4 East_Eurasians
    4.8 South_Eurasians

    Target: AmbareenR_scaled
    Distance: 11.4363% / 0.11436291
    52.2 West_Eurasian
    28.0 BasalEurasians
    19.0 South_Eurasians
    0.8 Africans
    Last edited by Amber29; 09-06-2020 at 08:49 PM.
    Maternal Grandfather's Maternal Line: U7a3a4a

  15. The Following 5 Users Say Thank You to Amber29 For This Useful Post:

     Ahmed Ali (09-06-2020),  MonkeyDLuffy (09-11-2020),  parasar (09-07-2020),  Sapporo (09-07-2020),  ThaYamamoto (09-06-2020)

  16. #9
    Registered Users
    Posts
    1,937
    Sex
    Location
    US
    Ethnicity
    India Andhra Kamma Telugu
    Nationality
    US
    Y-DNA (P)
    HM82 Z5890+CTS8144+
    mtDNA (M)
    U2a1a
    Y-DNA (M)
    HM69

    United States of America India
    agentlime calc
    Suresh 0.065

    West Eurasians 50.0
    Basal Eurasians 15.6
    South Eurasians 15.4
    Africans 12.8
    East Eurasians 6.2


    Yeah, Kurds calculator seem to take North African as West Eurasian and or Basal which probably explains my score fro K5

    Your Deep ancestry are mainly from West Eurasian origin

    62.3 % West Eurasian
    33.5 % Basal Eurasian A
    3.4 % Siberian Amerind
    0.9% South Eurasian
    Y: H-M69 -> H-M82 -> SK1225 -> H-Z5888 -> H-Z5890 -> H-CTS8144 [CTS8144/PF1741/M5498] -> Z34531 (H1a1a4b3b1a8~)
    found 2875 BCE -> Jiroft/IVC Periphery 11459 Shahr-i-Sokte BA2
    mtDNA:U2a1a

    G25 Ancients Dist 0.79 IND_Roopkund_A 51.05 IRN_Shahr_I_Sokhta_BA2 46.64 MAR_Iberomaurusian2.04PAK_Katelai_IA0.19 TKM_Gonur2_BA 0.08

    Lactose Persistence rs3213871 rs4988243 rs4988183 rs3769005 rs2236783
    found -> DA125, Kangju

  17. #10
    Registered Users
    Posts
    1,937
    Sex
    Location
    US
    Ethnicity
    India Andhra Kamma Telugu
    Nationality
    US
    Y-DNA (P)
    HM82 Z5890+CTS8144+
    mtDNA (M)
    U2a1a
    Y-DNA (M)
    HM69

    United States of America India
    Quote Originally Posted by ThaYamamoto View Post
    Lool I think Mr Tipirneni has made a mistake when recording his results or the kit is perhaps contaminated.
    I got test results from FTDNA, Ancestry, MyHeritage, LivingDNA, 23andMe, Yseq. Now I see points where they agree or provide more. This is like 6 times testing to confirm the results. There won't be any mistake other than no coverage for certain SNPs which might be more important for South Asian vs. others. The chances of contamination is way to much speculation given the agreement between kits is pretty high. The places where there is more coverage for some tests vs others in certain area is well known if you follow the test specific group
    Y: H-M69 -> H-M82 -> SK1225 -> H-Z5888 -> H-Z5890 -> H-CTS8144 [CTS8144/PF1741/M5498] -> Z34531 (H1a1a4b3b1a8~)
    found 2875 BCE -> Jiroft/IVC Periphery 11459 Shahr-i-Sokte BA2
    mtDNA:U2a1a

    G25 Ancients Dist 0.79 IND_Roopkund_A 51.05 IRN_Shahr_I_Sokhta_BA2 46.64 MAR_Iberomaurusian2.04PAK_Katelai_IA0.19 TKM_Gonur2_BA 0.08

    Lactose Persistence rs3213871 rs4988243 rs4988183 rs3769005 rs2236783
    found -> DA125, Kangju

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