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Thread: Any mtDNA Y people admixure into India or South Asia ?

  1. #1
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    Post Any mtDNA Y people admixure into India or South Asia ?

    mtDNA Y is found all along NE Asia coast, Kamchatkha, Korea, some in Indonesia, Philipines, East Europe, Germany, Japan, Czech, Poland, Slovakia, Russia etc....

    Lentz male Y mt DNA came to be found in Germany, as well as within the Yamnaya ancient remains found north of the Black Sea in Russia from some 3,500 years ago.


    On my GED match I have some Danish or Norway person mixed with Philipino that has Y2 matching big segments. Does it indicate that these people mixed big into South Indians due to Sea trade during Pallava & later Chola time ?




    Admix calculator says the person is

    50% Filipino_ +50% North_German_ @ 4.089948
    Using 3 populations approximation:
    1 50% Filipino_ +25% French_ +25% Lithuanian_ @ 3.461955

    So probably a mixed person, but match comes out pretty big

    Largest segment = 14.1 cM
    Total Half-Match segments (HIR) = 187.7 cM (5.238 Pct)
    65 shared segments found for this comparison.
    156134 SNPs used for this comparison.

    -----------------------------------



    This article at WikiPedia provides a chart of where mtDNA haplogroup Y has been found in academic studies, along with the following verbiage:

    Haplogroup Y has been found with high frequency in many indigenous populations who live around the Sea of Okhotsk, including approximately 66% of Nivkhs, approximately 38% of Ulchs, approximately 21% of Negidals, and approximately 20% of Ainus. It is also fairly common among indigenous peoples of the Kamchatka Peninsula (Koryaks, Itelmens) and Maritime Southeast Asia.

    The distribution of haplogroup Y in populations of the Malay Archipelago contrasts starkly with the absence or extreme rarity of this haplogroup in populations of continental Southeast Asia in a manner reminiscent of haplogroup E. However, the frequency of haplogroup Y fades more smoothly away from its maximum around the Sea of Okhotsk in Northeast Asia, being found in approximately 2% of Koreans and in South Siberian and Central Asian populations with an average frequency of 1%.

    Its subclade Y2 has been observed in 40% (176/440) of a large pool of samples from Nias in western Indonesia, ranging from a low of 25% (3/12) among the Zalukhu subpopulation to a high of 52% (11/21) among the Ho subpopulation.
    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 2 Users Say Thank You to tipirneni For This Useful Post:

     Jatt1 (03-17-2019),  laltota (02-26-2019)

  3. #2
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    Another Y1b sample is matching big segments 17.1cM on default settings in Genesis. Looks part Japanese & european

    Admix Results (sorted):

    # Population Percent
    1 Southeast_Asian 35.79
    2 West_European 25.55
    3 Northeast_Asian 13.29
    4 Mediterranean 12.74
    5 East_European 5.37
    6 West_Asian 4.65
    7 South_Asian 1.08
    8 Southwest_Asian 0.79
    9 Palaeo_African 0.34
    10 Neo_African 0.24
    11 Northwest_African 0.15
    Using 1 population approximation:
    1 Kyrgyzstani_Xing @ 26.537922
    2 Uygur_HGDP @ 27.572029
    3 Hazara_HGDP @ 27.944164
    4 Uzbeks_Behar @ 32.246117
    5 Altai_Rasmussen @ 32.665195
    6 Mongol_Rasmussen @ 34.397724
    7 Buryat_Xing @ 40.947376
    8 Tuva_Rasmussen @ 41.679531
    9 Mongola_HGDP @ 42.025677
    10 Xibo_HGDP @ 42.460915
    11 Buryat_Rasmussen @ 44.192307
    12 Daur_HGDP @ 44.295197
    13 Nepalese_Xing @ 44.846706
    14 Tu_HGDP @ 45.104717
    15 Slovenian_Xing @ 45.443413
    16 Hezhen_HGDP @ 45.587532
    17 Hungarians_Behar @ 46.567097
    18 Dolgan_Rasmussen @ 47.063324
    19 Nysha_Reich @ 47.380245
    20 Tuscan_Xing @ 47.611862

    Using 2 populations approximation:
    1 50% CEU_HapMap +50% Japanese_Dodecad @ 1.939486


    Using 3 populations approximation:
    1 50% CEU_HapMap +25% Japanese_Dodecad +25% Japanese_Dodecad @ 1.939486


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++
    1 Cornwall_1000 Genomes + Japanese_Dodecad + Japanese_Dodecad + Slovenian_Xing @ 1.891497
    2 French_HGDP + German_Dodecad + Japanese_Dodecad + Japanese_Dodecad @ 1.933746
    3 CEU_HapMap + CEU_HapMap + Japanese_Dodecad + Japanese_Dodecad @ 1.939486
    4 CEU_HapMap + Japanese_Dodecad + Japanese_Dodecad + N._European_Xing @ 1.968561
    5 Japanese_Dodecad + Japanese_Dodecad + Kent_1000 Genomes + Slovenian_Xing @ 1.983981
    6 Cornwall_1000 Genomes + Japanese_Dodecad + Korean_Dodecad + Slovenian_Xing @ 2.001185
    7 CHB_HapMap + Cornwall_1000 Genomes + Hezhen_HGDP + Slovenian_Xing @ 2.024498
    8 British_Dodecad + Japanese_Dodecad + Japanese_Dodecad + Slovenian_Xing @ 2.031660
    9 Daur_HGDP + French_HGDP + German_Dodecad + Han_HGDP @ 2.040189
    10 Cornwall_1000 Genomes + Han_HGDP + Hezhen_HGDP + Slovenian_Xing @ 2.049537
    11 CEU_HapMap + Daur_HGDP + Han_HGDP + N._European_Xing @ 2.056671
    12 French_HGDP + German_Dodecad + Han_HGDP + Hezhen_HGDP @ 2.058275
    13 Cornwall_1000 Genomes + Hezhen_HGDP + Slovenian_Xing + Vietnamese_Xing @ 2.061187
    14 CHB_HapMap + Hezhen_HGDP + Kent_1000 Genomes + Slovenian_Xing @ 2.063226
    15 French_HGDP + German_Dodecad + Japanese_Dodecad + Korean_Dodecad @ 2.063794
    16 CEU_HapMap + CEU_HapMap + Japanese_Dodecad + Korean_Dodecad @ 2.065510
    17 CEU_HapMap + CEU_HapMap + Daur_HGDP + Han_HGDP @ 2.065709
    18 Japanese_Dodecad + Kent_1000 Genomes + Korean_Dodecad + Slovenian_Xing @ 2.066775
    19 CEU_HapMap + Japanese_Dodecad + Korean_Dodecad + N._European_Xing @ 2.067113
    20 CEU_HapMap + CEU_HapMap + CHB_HapMap + Hezhen_HGDP @ 2.069314
    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

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

     Jatt1 (03-17-2019)

  5. #3
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    Quote Originally Posted by tipirneni View Post
    Another Y1b sample is matching big segments 17.1cM on default settings in Genesis. Looks part Japanese & european

    Admix Results (sorted):

    # Population Percent
    1 Southeast_Asian 35.79
    2 West_European 25.55
    3 Northeast_Asian 13.29
    4 Mediterranean 12.74
    5 East_European 5.37
    6 West_Asian 4.65
    7 South_Asian 1.08
    8 Southwest_Asian 0.79
    9 Palaeo_African 0.34
    10 Neo_African 0.24
    11 Northwest_African 0.15
    Using 1 population approximation:
    1 Kyrgyzstani_Xing @ 26.537922
    2 Uygur_HGDP @ 27.572029
    3 Hazara_HGDP @ 27.944164
    4 Uzbeks_Behar @ 32.246117
    5 Altai_Rasmussen @ 32.665195
    6 Mongol_Rasmussen @ 34.397724
    7 Buryat_Xing @ 40.947376
    8 Tuva_Rasmussen @ 41.679531
    9 Mongola_HGDP @ 42.025677
    10 Xibo_HGDP @ 42.460915
    11 Buryat_Rasmussen @ 44.192307
    12 Daur_HGDP @ 44.295197
    13 Nepalese_Xing @ 44.846706
    14 Tu_HGDP @ 45.104717
    15 Slovenian_Xing @ 45.443413
    16 Hezhen_HGDP @ 45.587532
    17 Hungarians_Behar @ 46.567097
    18 Dolgan_Rasmussen @ 47.063324
    19 Nysha_Reich @ 47.380245
    20 Tuscan_Xing @ 47.611862

    Using 2 populations approximation:
    1 50% CEU_HapMap +50% Japanese_Dodecad @ 1.939486


    Using 3 populations approximation:
    1 50% CEU_HapMap +25% Japanese_Dodecad +25% Japanese_Dodecad @ 1.939486


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++
    1 Cornwall_1000 Genomes + Japanese_Dodecad + Japanese_Dodecad + Slovenian_Xing @ 1.891497
    2 French_HGDP + German_Dodecad + Japanese_Dodecad + Japanese_Dodecad @ 1.933746
    3 CEU_HapMap + CEU_HapMap + Japanese_Dodecad + Japanese_Dodecad @ 1.939486
    4 CEU_HapMap + Japanese_Dodecad + Japanese_Dodecad + N._European_Xing @ 1.968561
    5 Japanese_Dodecad + Japanese_Dodecad + Kent_1000 Genomes + Slovenian_Xing @ 1.983981
    6 Cornwall_1000 Genomes + Japanese_Dodecad + Korean_Dodecad + Slovenian_Xing @ 2.001185
    7 CHB_HapMap + Cornwall_1000 Genomes + Hezhen_HGDP + Slovenian_Xing @ 2.024498
    8 British_Dodecad + Japanese_Dodecad + Japanese_Dodecad + Slovenian_Xing @ 2.031660
    9 Daur_HGDP + French_HGDP + German_Dodecad + Han_HGDP @ 2.040189
    10 Cornwall_1000 Genomes + Han_HGDP + Hezhen_HGDP + Slovenian_Xing @ 2.049537
    11 CEU_HapMap + Daur_HGDP + Han_HGDP + N._European_Xing @ 2.056671
    12 French_HGDP + German_Dodecad + Han_HGDP + Hezhen_HGDP @ 2.058275
    13 Cornwall_1000 Genomes + Hezhen_HGDP + Slovenian_Xing + Vietnamese_Xing @ 2.061187
    14 CHB_HapMap + Hezhen_HGDP + Kent_1000 Genomes + Slovenian_Xing @ 2.063226
    15 French_HGDP + German_Dodecad + Japanese_Dodecad + Korean_Dodecad @ 2.063794
    16 CEU_HapMap + CEU_HapMap + Japanese_Dodecad + Korean_Dodecad @ 2.065510
    17 CEU_HapMap + CEU_HapMap + Daur_HGDP + Han_HGDP @ 2.065709
    18 Japanese_Dodecad + Kent_1000 Genomes + Korean_Dodecad + Slovenian_Xing @ 2.066775
    19 CEU_HapMap + Japanese_Dodecad + Korean_Dodecad + N._European_Xing @ 2.067113
    20 CEU_HapMap + CEU_HapMap + CHB_HapMap + Hezhen_HGDP @ 2.069314
    Matching 246cM on 156K kit

    at 100/1cM

    Largest segment = 8.7 cM

    Total Half-Match segments (HIR) = 246.1 cM (6.866 Pct)

    83 shared segments found for this comparison.

    155902 SNPs used for this comparison.

    49.876 Pct SNPs are full identical
    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

  6. #4
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    My DNA when matched with Ulchi-Nizhniy_Gavan sample which is Y1a shows big hits.
    On .5 cM Q match I get
    Total cM: 457.36
    Largest segment cM: 3.57
    Total segments: 446

    Few segments over 500 SNPS

    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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