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Thread: AZAD KASHMIRI JATT 23ANDME AND GEDMATCH RESULTS

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    AZAD KASHMIRI JATT 23ANDME AND GEDMATCH RESULTS

    Maternal Haplogroup is H2b and Paternal Haplogroup is R-Y7

    23ANDME :

    Central and South Asia 86.3% :

    Northern India and Pakistan - 81.1%
    Bengali and Northeastern Regions - 0.7%
    Broadly Central Asian, Northern India and Pakistan - 4.5%
    Southern Indian Subgroup - 3.7%
    Southern South Asian - 2.9%
    Broadly Southern South Asian - 0.5%
    Broadly Central and South Asian - 3.9%

    Western Asian and North African 2.0% :

    North Western Asian - 2.0%

    Trace Ancestry 0.4% :

    Broadly European - 0.2%
    Broadly Southern European - 2.0%



    GEDMATCH :

    1 Baloch 42.1
    2 S-Indian 29.47
    3 Caucasian 12.45
    4 NE-Euro 8.49
    5 SW-Asian 4.71
    6 Beringian 2.71
    7 W-African 0.06



    Oracle :

    Single Population Sharing:


    # Population (source) Distance
    1 sindhi (harappa) 4.46
    2 punjabi-jatt-muslim (harappa) 5.12
    3 punjabi-khatri (harappa) 5.46
    4 punjabi-arain (xing) 5.61
    5 punjabi (harappa) 5.7
    6 sindhi (hgdp) 6.09
    7 kashmiri-pandit (reich) 6.15
    8 punjabi-jatt-sikh (harappa) 6.38
    9 punjabi-brahmin (harappa) 6.68
    10 kashmiri-pahari (harappa) 6.69
    11 singapore-indian-c (sgvp) 6.71
    12 kashmiri (harappa) 7.21
    13 bhatia (harappa) 7.57
    14 punjabi-ramgarhia (harappa) 7.65
    15 gujarati-muslim (harappa) 7.79
    16 pathan (hgdp) 7.9
    17 up-muslim (harappa) 9.97
    18 kalash (hgdp) 10.44
    19 burusho (hgdp) 10.74
    20 nepalese-a (xing) 11.54

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 80.4% punjabi (harappa) + 19.6% balochi (hgdp) @ 3.28
    2 54.1% punjabi-khatri (harappa) + 45.9% sindhi (hgdp) @ 3.3
    3 82.9% punjabi (harappa) + 17.1% makrani (hgdp) @ 3.36
    4 89.6% sindhi (harappa) + 10.4% gujarati-a (1000genomes) @ 3.37
    5 90.3% sindhi (harappa) + 9.7% gujarati-patel (harappa) @ 3.4
    6 79.6% punjabi-brahmin (harappa) + 20.4% makrani (hgdp) @ 3.42
    7 83.3% punjabi (harappa) + 16.7% brahui (hgdp) @ 3.44
    8 87.4% sindhi (harappa) + 12.6% kerala-nair (harappa) @ 3.49
    9 85% sindhi (harappa) + 15% gujarati-b (hapmap) @ 3.52
    10 87.5% sindhi (harappa) + 12.5% iyengar-brahmin (harappa) @ 3.53
    11 91% sindhi (harappa) + 9% velama (metspalu) @ 3.54
    12 87.4% sindhi (harappa) + 12.6% iyer-brahmin (harappa) @ 3.54
    13 86.9% sindhi (harappa) + 13.1% tn-brahmin (xing) @ 3.55
    14 86.8% sindhi (harappa) + 13.2% brahmin-tamil-nadu (metspalu) @ 3.56
    15 77.2% punjabi-brahmin (harappa) + 22.8% balochi (hgdp) @ 3.57
    16 90.5% sindhi (harappa) + 9.5% ap-reddy (harappa) @ 3.58
    17 86.8% sindhi (harappa) + 13.2% gujarati (harappa) @ 3.58
    18 68.1% sindhi (harappa) + 31.9% kashmiri-pahari (harappa) @ 3.58
    19 86.4% sindhi (harappa) + 13.6% meghawal (reich) @ 3.58
    20 89.1% sindhi (harappa) + 10.9% singapore-indian-b (sgvp) @ 3.59


    Oracle 4 :

    Least-squares method.

    Using 1 population approximation:
    1 sindhi_harappa @ 4.713899
    2 punjabi-jatt-muslim_harappa @ 5.373181
    3 punjabi-khatri_harappa @ 5.858047
    4 punjabi-arain_xing @ 5.958047
    5 punjabi_harappa @ 6.135850
    6 sindhi_hgdp @ 6.571114
    7 kashmiri-pandit_reich @ 6.589035
    8 punjabi-jatt-sikh_harappa @ 6.850080
    9 kashmiri-pahari_harappa @ 7.238015
    10 punjabi-brahmin_harappa @ 7.248600
    11 singapore-indian-c_sgvp @ 7.271720
    12 kashmiri_harappa @ 7.700661
    13 bhatia_harappa @ 8.094081
    14 punjabi-ramgarhia_harappa @ 8.310776
    15 gujarati-muslim_harappa @ 8.413389
    16 pathan_hgdp @ 8.608920
    17 pushtikar-brahmin_harappa @ 9.044940
    18 rajasthani-brahmin_harappa @ 10.447406
    19 up-muslim_harappa @ 10.846927
    20 kalash_hgdp @ 11.466376

    Using 2 populations approximation:
    1 50% punjabi-khatri_harappa +50% sindhi_hgdp @ 3.392713


    Using 3 populations approximation:
    1 50% punjabi-khatri_harappa +25% sindhi_hgdp +25% sindhi_hgdp @ 3.392713


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
    1 balochi_hgdp + iyengar-brahmin_harappa + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.718172
    2 balochi_hgdp + brahmin-tamil-nadu_metspalu + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.756685
    3 balochi_hgdp + kerala-brahmin_harappa + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.778249
    4 balochi_hgdp + meghawal_reich + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.807110
    5 balochi_hgdp + maharashtrian_harappa + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.813519
    6 iyengar-brahmin_harappa + makrani_hgdp + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.845859
    7 balochi_hgdp + iyer-brahmin_harappa + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.864300
    8 balochi_hgdp + punjabi-khatri_harappa + punjabi-khatri_harappa + tn-brahmin_xing @ 2.907126
    9 balochi_hgdp + karnataka-brahmin_harappa + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.930668
    10 balochi_hgdp + gujarati-b_hapmap + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.931163
    11 balochi_hgdp + gujarati_harappa + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.932698
    12 balochi_hgdp + iyengar-brahmin_harappa + punjabi-khatri_harappa + sindhi_harappa @ 2.950812
    13 balochi_hgdp + punjabi-khatri_harappa + punjabi-khatri_harappa + rajasthani_harappa @ 2.951713
    14 balochi_hgdp + goan_harappa + punjabi-khatri_harappa + punjabi-khatri_harappa @ 2.963436
    15 balochi_hgdp + punjabi-khatri_harappa + punjabi-khatri_harappa + vaish_reich @ 2.999249
    16 brahmin-tamil-nadu_metspalu + makrani_hgdp + punjabi-khatri_harappa + punjabi-khatri_harappa @ 3.005765
    17 iyer-brahmin_harappa + makrani_hgdp + punjabi-khatri_harappa + punjabi-khatri_harappa @ 3.029908
    18 brahui_hgdp + iyengar-brahmin_harappa + punjabi-khatri_harappa + punjabi-khatri_harappa @ 3.030870
    19 balochi_hgdp + maharashtrian_harappa + punjabi-khatri_harappa + sindhi_harappa @ 3.036078
    20 balochi_hgdp + punjabi-jatt-muslim_harappa + punjabi-khatri_harappa + up-brahmin_harappa @ 3.050120



    im not too familiar with genealogy but i presume the sindhi is high because jatts originate in sindh, correct?

    Any feedback about my results would be helpful

  2. The Following 3 Users Say Thank You to ibn_saifullah For This Useful Post:

     JFWinstone (03-03-2020),  parasar (03-03-2020),  tipirneni (03-04-2020)

  3. #2
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    Are you a Muslim Jatt?

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    Quote Originally Posted by Leto View Post
    Are you a Muslim Jatt?
    Hi, yes im a muslim jatt

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    Quote Originally Posted by Leto View Post
    Thanks!

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    Quote Originally Posted by ibn_saifullah View Post
    Hi, yes im a muslim jatt
    Hi. Can you also post Eurogenes K13 for comparison?

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    Quote Originally Posted by Leto View Post
    Hi. Can you also post Eurogenes K13 for comparison?
    EUROGENES K13 :

    Admix Results (sorted):

    # Population Percent
    1 South_Asian 44.3
    2 West_Asian 38.68
    3 Baltic 8.88
    4 East_Med 3.28
    5 Red_Sea 2.73
    6 Siberian 1.07
    7 Amerindian 0.6
    8 Sub-Saharan 0.47


    ORACLE :

    Single Population Sharing:

    # Population (source) Distance
    1 Sindhi 5.98
    2 Pathan 6.46
    3 Punjabi_Jat 8.1
    4 Burusho 11.08
    5 Kalash 11.42
    6 Gujarati 16.5
    7 Brahmin_UP 17.89
    8 Kshatriya 18.58
    9 Afghan_Pashtun 18.99
    10 Balochi 19.09
    11 Brahui 19.37
    12 Makrani 19.83
    13 Bangladeshi 23.77
    14 Dharkar 25.93
    15 Kanjar 26.91
    16 Afghan_Tadjik 27.31
    17 Tadjik 27.5
    18 Velamas 28.4
    19 Kurumba 29.66
    20 Uttar_Pradesh 30.33

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 54.2% Sindhi + 45.8% Pathan @ 4.62
    2 50.7% Kshatriya + 49.3% Balochi @ 4.81
    3 53.9% Gujarati + 46.1% Balochi @ 4.89
    4 51.1% Kshatriya + 48.9% Brahui @ 4.9
    5 87% Pathan + 13% Velamas @ 4.9
    6 54.3% Gujarati + 45.7% Brahui @ 4.97
    7 58.9% Balochi + 41.1% Kanjar @ 5
    8 87.8% Pathan + 12.2% Kurumba @ 5
    9 89.3% Pathan + 10.7% Piramalai @ 5.02
    10 73.2% Kalash + 26.8% Velamas @ 5.04
    11 88.8% Pathan + 11.2% Dusadh @ 5.11
    12 63.7% Balochi + 36.3% North_Kannadi @ 5.11
    13 80% Pathan + 20% Gujarati @ 5.13
    14 95.2% Sindhi + 4.8% Chuvash @ 5.17
    15 95.4% Sindhi + 4.6% Erzya @ 5.17
    16 95.3% Sindhi + 4.7% Mari @ 5.18
    17 90.7% Pathan + 9.3% Sakilli @ 5.18
    18 87.6% Pathan + 12.4% Kanjar @ 5.26
    19 89.7% Pathan + 10.3% North_Kannadi @ 5.3
    20 94.2% Sindhi + 5.8% MA-1 @ 5.31


    ORACLE 4:

    Least-squares method.

    Using 1 population approximation:
    1 Sindhi @ 6.682352
    2 Pathan @ 7.178830
    3 Punjabi_Jat @ 9.273075
    4 Burusho @ 11.696847
    5 Kalash @ 12.916073
    6 Gujarati @ 18.796013
    7 Brahmin_UP @ 20.485325
    8 Kshatriya @ 21.192513
    9 Afghan_Pashtun @ 21.393347
    10 Balochi @ 21.820696
    11 Brahui @ 22.139536
    12 Makrani @ 22.494608
    13 Bangladeshi @ 26.669559
    14 Dharkar @ 29.541164
    15 Afghan_Tadjik @ 30.007296
    16 Tadjik @ 30.622801
    17 Kanjar @ 30.641476
    18 Velamas @ 32.212219
    19 Kurumba @ 33.669106
    20 Uttar_Pradesh @ 34.582096

    Using 2 populations approximation:
    1 50% Pathan +50% Sindhi @ 5.130476


    Using 3 populations approximation:
    1 50% Kalash +25% Makrani +25% North_Kannadi @ 4.660270


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++
    1 Brahui + Kalash + North_Kannadi + Pathan @ 4.135415
    2 Brahui + Kanjar + Pathan + Pathan @ 4.197437
    3 Balochi + Kalash + North_Kannadi + Pathan @ 4.280362
    4 Balochi + Kanjar + Pathan + Pathan @ 4.302590
    5 Brahui + Kalash + Kanjar + Pathan @ 4.383722
    6 Brahui + Dusadh + Kalash + Pathan @ 4.412906
    7 Brahui + Dharkar + Pathan + Pathan @ 4.430087
    8 Balochi + Pathan + Pathan + Velamas @ 4.467610
    9 Balochi + Dusadh + Kalash + Pathan @ 4.485696
    10 Brahui + Kalash + Pathan + Piramalai @ 4.486787
    11 Brahui + Kalash + Pathan + Velamas @ 4.488870
    12 Balochi + Dharkar + Pathan + Pathan @ 4.511378
    13 Balochi + Kalash + Pathan + Velamas @ 4.515416
    14 Balochi + Kalash + Pathan + Piramalai @ 4.534273
    15 Brahui + Pathan + Pathan + Velamas @ 4.542191
    16 Balochi + Kalash + Kanjar + Pathan @ 4.587044
    17 Brahui + Kalash + Kurumba + Pathan @ 4.591724
    18 Brahui + Kalash + Kol + Pathan @ 4.596077
    19 Balochi + Kalash + Kurumba + Pathan @ 4.645854
    20 Balochi + Kurumba + Pathan + Pathan @ 4.660218

  9. The Following User Says Thank You to ibn_saifullah For This Useful Post:

     Leto (03-04-2020)

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