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Thread: South Asian HarappaWorld results

  1. #2971
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    Quote Originally Posted by agent_lime View Post
    Can you run these on Admixture Studio? I want to see if the oracles change.
    I can't run them as I don't have their data, these are provided via a relative of theirs. I can ask for the data.

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  3. #2972
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    Quote Originally Posted by ybnnahmir431 View Post
    their results are more interesting since there seems to be more variation. For UP muslims, ive seen one score SI in the 20's and one close to 50%. Most seem to be in between. A lot are in the 30's
    Anyone scoring in the 20's is a migrant. Probably with Pathan mixing. Even 30's is not inside natural variation. Most of the natives are in the 40's.

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    Quote Originally Posted by Sapporo View Post
    This individual has no Southern or Eastern Iranian ancestry? They're nearly 7-8% more SI than your average NW/W Iranian/Iranian Kurd (the bulk of Iranians live in the NW/W of Iran) and can be modeled as 75% Iranian + 25% NI Brahmin or even 69% Iranian + 31% Punjabi Khatri.
    She didnt say anything else. But she might have some outside ancestry

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    Forgot to post my dad's HarappaWorld results. He's Bengali and has origins in a village in Feni District in the East of Bangladesh bordering Tripura.

    45.91% S-Indian
    27.28% Baloch
    1.14% Caucasian
    6.25% NE-Euro
    6.70% SE-Asian
    0.01% Siberian
    6.73% NE-Asian
    0.93% Papuan
    1.05% American
    0.04% Beringian
    2.49% Mediterranean
    0.85% SW-Asian
    0.00% San
    0.19% E-African
    0.02% Pygmy
    0.41% W-African

    Mixed Mode:
    1 97.27% bengali1 + 2.73% orcadian @ 3.322
    2 97.27% bengali1 + 2.73% british @ 3.355
    3 97.27% bengali1 + 2.73% utahn-white2 @ 3.375
    4 97.27% bengali1 + 2.73% utahn-white1 @ 3.379
    5 89.45% caribbean-indian + 10.55% vietnamese @ 3.390
    6 97.27% bengali1 + 2.73% n-european @ 3.397
    7 89.45% caribbean-indian + 10.55% lahu @ 3.405
    8 97.27% bengali1 + 2.73% lithuanian @ 3.432
    9 94.92% bengali1 + 5.08% singapore-indian-d @ 3.450
    10 97.27% bengali1 + 2.73% spain-basc @ 3.460

    Least-squares method.

    Using 1 populations approximation
    1 100% bengali1 @ 4.021
    2 100% sri-lankan @ 9.406
    3 100% bihari @ 9.838
    4 100% caribbean-indian @ 10.041
    5 100% kerala-muslim @ 10.949
    6 100% up @ 11.057
    7 100% bihari-muslim @ 11.077
    8 100% bengali-brahmin @ 11.179
    9 100% bengali2 @ 11.252
    10 100% srivastava @ 11.970

    Using 2 populations approximation
    1 50% bengali1 + 50% bengali1 @ 4.021
    2 50% bengali1 + 50% sri-lankan @ 6.045
    3 50% bengali1 + 50% bengali-brahmin @ 6.236
    4 50% bengali1 + 50% bihari @ 6.273
    5 50% bengali1 + 50% caribbean-indian @ 6.415
    6 50% bengali1 + 50% bihari-muslim @ 6.555
    7 50% nepali + 50% satnami @ 6.576
    8 50% nepalese-a + 50% satnami @ 6.829
    9 50% bengali1 + 50% oriya @ 6.898
    10 50% bengali1 + 50% up @ 6.974

    Using 3 populations approximation
    1 33% bengali1 + 33% bengali1 + 33% bengali1 @ 4.021
    2 33% gujarati-a + 33% nepalese-a + 33% great-andamanese @ 4.682
    3 33% gujarati-a + 33% nepalese-a + 33% onge @ 4.735
    4 33% bengali1 + 33% bengali1 + 33% bengali-brahmin @ 4.927
    5 33% oriya + 33% oriya + 33% great-andamanese @ 5.115
    6 33% bengali1 + 33% bengali1 + 33% sri-lankan @ 5.123
    7 33% gujarati + 33% gujarati + 33% great-andamanese @ 5.190
    8 33% bihari-brahmin + 33% ap-reddy + 33% great-andamanese @ 5.244
    9 33% bengali1 + 33% bengali1 + 33% bihari @ 5.274
    10 33% kerala-brahmin + 33% bihari-brahmin + 33% onge @ 5.283

    Using 4 populations approximation
    1 25% dharkar + 25% dharkar + 25% maharashtrian + 25% khasi @ 3.450
    2 25% ap-brahmin + 25% ap-brahmin + 25% dharkar + 25% khasi @ 3.459
    3 25% dharkar + 25% dharkar + 25% dharkar + 25% khasi @ 3.535
    4 25% lodi + 25% lodi + 25% up-brahmin + 25% khasi @ 3.674
    5 25% kanjar + 25% kanjar + 25% singapore-indian-b + 25% khasi @ 3.728
    6 25% bengali1 + 25% bengali1 + 25% bengali1 + 25% bengali1 @ 4.021
    7 25% kanjar + 25% kanjar + 25% kanjar + 25% khasi @ 4.073
    8 25% ap-brahmin + 25% ap-brahmin + 25% ap-brahmin + 25% khasi @ 4.154
    9 25% oriya + 25% oriya + 25% ap-brahmin + 25% khasi @ 4.176
    10 25% up-muslim + 25% up-muslim + 25% up-muslim + 25% khasi @ 4.223

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  8. #2975
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    Quote Originally Posted by agent_lime View Post
    Anyone scoring in the 20's is a migrant. Probably with Pathan mixing. Even 30's is not inside natural variation. Most of the natives are in the 40's.
    theres non-pastun admixed muslims from that area scoring in the 30's. Where else could they be from? In fact, most of the result's ive seen are in the 30's

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    Quote Originally Posted by ybnnahmir431 View Post
    theres non-pastun admixed muslims from that area scoring in the 30's. Where else could they be from? In fact, most of the result's ive seen are in the 30's
    post the results here, because most the results we've from the Ganges area they score 40+ SI.

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    Quote Originally Posted by ybnnahmir431 View Post
    theres non-pastun admixed muslims from that area scoring in the 30's. Where else could they be from? In fact, most of the result's ive seen are in the 30's
    I'm not sure where you are seeing these 30's muslim kits from UP. Not even Yadavs, Rajputs and Brahmins from UP score score in the 30's. There might be some that touch 38-39. Not even the old Harappa datasets have more than few "UP Pathans" in the 20's and 30's, majority were in the 40's. The only low AASI population in Western UP are the Jats and Gujjars. Most from those castes (Mullay Jats, Gujjars) that converted are already significantly mixed, not a lot from those castes converted. There just aren't many Muslims in UP in these ranges. Many of Muslims will be in the 43-55 SI range, with a majority in the late 40's.

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  12. #2978
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    Quote Originally Posted by agent_lime View Post
    I'm not sure where you are seeing these 30's muslim kits from UP. Not even Yadavs, Rajputs and Brahmins from UP score score in the 30's. There might be some that touch 38-39. Not even the old Harappa datasets have more than few "UP Pathans" in the 20's and 30's, majority were in the 40's.
    I don't know which dataset you are referring to, but this particular harappa dataset has the majority of UP Muslims in the 30s, one even in the 20s, and funny thing it's the "UP Pathan" who's the only one in 40s.

    Capture.PNG

    I must admit we need more samples to reach any definitive conclusion.

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    Quote Originally Posted by thejkhan View Post
    I don't know which dataset you are referring to, but this particular harappa dataset has the majority of UP Muslims in the 30s, one even in the 20s, and funny thing it's the "UP Pathan" who's the only one in 40s.

    Capture.PNG

    I must admit we need more samples to reach any definitive conclusion.
    Here are all the individuals in it.
    UP Syed
    HRP0119 36% 37% 7% 8%

    UP Mughal/Pathan
    HRP0139 48% 36% 7% 4%

    UP Muslim Syed
    HRP0261 33% 31% 13% 7%

    UP Muslim
    HRP0311 33% 33% 10% 9%

    UP Muslim
    HRP0320 28% 35% 12% 11%

    UP Muslim
    HRP0351 35% 33% 12% 8%

    Delhi Muslim
    HRP0357 34% 31% 15% 7%

    UP Pathan
    HRP0384 29% 32% 13% 10%

    UP Muslim
    HRP0414 37% 33% 9% 8%


    There is another (metspalu) dataset with higher SI(presumably from a different region)
    up-muslim metspalu 5 53% 33% 3% 5%

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  16. #2980
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    Quote Originally Posted by thejkhan View Post
    I don't know which dataset you are referring to, but this particular harappa dataset has the majority of UP Muslims in the 30s, one even in the 20s, and funny thing it's the "UP Pathan" who's the only one in 40s.

    Capture.PNG

    I must admit we need more samples to reach any definitive conclusion.
    yes this is what i was talking about. thank you for finding it. only like one person is in the 40's lol.

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