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Thread: Global25 automated nMonte for South/Central Asian members

  1. #4981
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    Quote Originally Posted by Kulin View Post
    Simulated AA Basal is calculated from the non-AASI/Iranian neolithic components of isolated tribes like Juang/Bonda etc. That ancestry should already account for whatever incoming admixture Austro-Asiatic rice farmers brought into Southern Asia.
    That's what I thought. That is indeed similar to AA groups like Shompen (though the one in Munda comes from an earlier "northern" wave of migration).

    Lao_Hoabinhian can account for excess SE Asian HG ancestry predating arrival of AA rice farmers. Eastern AASI must have had some of it.

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  3. #4982
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    I'm now in a position to create a central AASI proxy.

    However, I'm having difficulty locating suitable source populations. None of the Narasimhan et al. populations from Madhya Pradesh and Maharashtra are present in the G25 spreadsheet (or they're going by different names).

    If someone can list the central Indian populations which are present in Davidski's G25 spreadsheet, that'd allow me to create said proxy for you all.

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  5. #4983
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    Quote Originally Posted by DMXX View Post
    I'm now in a position to create a central AASI proxy.

    However, I'm having difficulty locating suitable source populations. None of the Narasimhan et al. populations from Madhya Pradesh and Maharashtra are present in the G25 spreadsheet (or they're going by different names).

    If someone can list the central Indian populations which are present in Davidski's G25 spreadsheet, that'd allow me to create said proxy for you all.
    I see Gond, Andh (can't see it now), may be Khonda_Dora & Chenchu

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  7. #4984
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    Quote Originally Posted by DMXX View Post
    I'm now in a position to create a central AASI proxy.

    However, I'm having difficulty locating suitable source populations. None of the Narasimhan et al. populations from Madhya Pradesh and Maharashtra are present in the G25 spreadsheet (or they're going by different names).

    If someone can list the central Indian populations which are present in Davidski's G25 spreadsheet, that'd allow me to create said proxy for you all.
    Would your central AASI proxy be different to the gangetic plains?

    I ask only in that Maharashtra would surely be an intermediate between South and NW rather than necessarily relevant to more Eastern populations like Bihar and Bengal.

    Though I suppose Madhya Pradesh and Chattisgarh with the tribal populations may well be relevant.

    For want of ancient DNA ...
    Paternal; Y-DNA: R1a-L657> Y6> Y11> Y920*
    Paternal; mtDNA: M5b'c
    Maternal; Y-DNA: R1a-L657> Y6
    Maternal; mtDNA: M4b1
    Maternal Grandmother; Y-DNA: R1a-L657> Y6

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  9. #4985
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    I was going to pool MP, Maha and Plains together into a generic central, but if you want, I can create a Plains specific version as well.

    I just need a list of non-AA speaking populations from the relevant regions (separated of course) that are present in G25 and the Narasimhan qpAdm spreadsheet.

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  11. #4986
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    Quote Originally Posted by DMXX View Post
    I was going to pool MP, Maha and Plains together into a generic central, but if you want, I can create a Plains specific version as well.

    I just need a list of non-AA speaking populations from the relevant regions (separated of course) that are present in G25 and the Narasimhan qpAdm spreadsheet.
    Make sure not to use Khonda Dora. They are genetically Munda.

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  13. #4987
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    Quote Originally Posted by scobar View Post
    Tried a couple of the models here for myself -

    Attachment 30405

    Attachment 30406

    I'm surprised w/ how clean the fits are and I don't understand the model..we're using 2/3 (Han & Tajik) foreign modern pops..why does this work so well for Indians? I'm using my v5 co-ords, unscaled & w/ default penalty.

    Poi - could you please add my V2 co-ordinates to the tool? Also, I was thinking we should label both my sets of co-ordinates as Kerala_Mappila instead of custom.

    ,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC1 2,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC2 2,PC23,PC24,PC25
    Scobar_v2_scaled,0.037562,-0.043668,-0.143683,0.077197,-0.065551,0.049643,-0.00376,0.005307,0.030065,0.016401,-0.001461,0.000749,-0.004757,-0.000138,-0.002172,0.004243,0.016559,0.000633,0.00352,0.0033 77,0.007237,0.002226,-0.004314,0.00482,-0.003233

    ,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC1 2,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC2 2,PC23,PC24,PC25
    Scobar_v2,0.0033,-0.0043,-0.0381,0.0239,-0.0213,0.0178,-0.0016,0.0023,0.0147,0.009,-0.0009,0.0005,-0.0032,-0.0001,-0.0016,0.0032,0.0127,0.0005,0.0028,0.0027,0.0058,0 .0018,-0.0035,0.004,-0.0027
    Poi - giving this a bump so it's on your radar, sent you an email too. Hopefully you can get to this whenever you find some time.

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  15. #4988
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    Quote Originally Posted by scobar View Post
    Poi - giving this a bump so it's on your radar, sent you an email too. Hopefully you can get to this whenever you find some time.
    Han isn't really relevant to most of us. Tajiks despite being central Asian are mostly a mix of steppe, Iran_N, with a little bit of AASI-the 3 things which make us up as well but in different proportions. And a little east Asian as well.

    It works for most of us here because no one that I can think of and most of the groups we test are the same level or lower AASI than velamas. The model may result in too much steppe and not enough or too much Iran_N for some people(in which case a tribal or western shifted group may help) but it ultimately won't hurt the fit too much because the real disparity comes from AASI levels. For example:

    "sample": "Potohar_Brahmin:Average",
    "fit": 1.6853,
    "Velamas": 58.33,
    "Tajik_Rushan": 41.67,

    "sample": "Potohar_Brahmin:Average",
    "fit": 1.1715,
    "Kalash": 42.5,
    "Velamas": 42.5,
    "Tajik_Rushan": 15,

    Notice how the fit improves but it's already good anyway. Now compare it to someone with extra AASI:

    "sample": "Madiga:Average",
    "fit": 4.9035,
    "Velamas": 100,
    "Tajik_Rushan": 0,

    "sample": "Madiga:Average",
    "fit": 1.8321,
    "Velamas": 55,
    "Paniya": 45,
    "Tajik_Rushan": 0,

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  17. #4989
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    @scobar this may be a more comprehensive and better model. Its also very simple.
    model.jpg

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  19. #4990
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    Quote Originally Posted by Alain View Post
    a good study but in some things I am surprised because there are also East Asians with fair skin as well Europeans with stronger pigmentation (example, my grandpa slightly brownish and my grandmother very pale), I thought in India played a role with the Indo-European immigration but thanks anyway here you learn a lot of things
    Color selection I think happened early in South Asia, and then the north and south pretty much settled to their equilibrium states, until again when the Europeans showed up. I recall MonkeyDLuffy had mentioned that in the Punjab fair color was not considered that much of an issue, and sometimes even a negative for males. For the south (Malabar coast), Marco Polo even mentions: "children that are born here are black enough, but the blacker they are the more they are thought of"

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