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Thread: Post Eurogenes K36 results

  1. #121
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    Quote Originally Posted by pegasus View Post
    Honestly its hard to differentiate them on Nmonte you literally would have to use EHG ratios to calculate CHG, but issue is even those BMAC pops seem to carry that specific ancestry though in smaller amounts, but to put into perspective CHG is like 85% Iran_N + 10% EHG like + 5% WHG
    Hotu is 85% Iran + 15% EHG like , Sarazm which is the best for modelling is 80% Iran_N and 20% EHG like and remember I said Hotu like Iran_N works best for Zagrosian proxy in S/SC Asian pops , since Hotu is damaged, Sarazm is very similar to him and works the best in modeling.


    Also for your earlier post. Afaik , Siddis/Zanj people are largely African by descent but mixed with locals. The pic Khana posted is how they typically look because that type ( surprisingly) can be found in Kalash. from there we can deduce original Iran_N pops very likely looked liked that. The pic , Passion posted also represents a transitional type he passes as some ambiguous NW SA type but also fits in the diversity of Plateau Iranians IMO.
    Ok now Im just confused, what is Ganj Dareh then? It's Iran neolithic right? Yet when I try to do that model for CHG (Ganj Dareh+EHG+CHG) I get a fit of like 16...

  2. #122
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    Quote Originally Posted by Censored View Post
    Ok now Im just confused, what is Ganj Dareh then? It's Iran neolithic right? Yet when I try to do that model for CHG (Ganj Dareh+EHG+CHG) I get a fit of like 16...
    They are all closely related populations, CHG is ancient and split off a sister clade with Iran_N. CHG shifts towards Upper Paleolithic populations , Iran_N shifts towards Basal and ENA populations.

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  4. #123
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    Quote Originally Posted by pegasus View Post
    They are all closely related populations, CHG is ancient and split off a sister clade with Iran_N. CHG shifts towards Upper Paleolithic populations , Iran_N shifts towards Basal and ENA populations.
    That's what I'm asking though, how can they be closely related if the fit distance is so big?

  5. #124
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    Quote Originally Posted by Censored View Post
    That's what I'm asking though, how can they be closely related if the fit distance is so big?
    Because the extra Basal Eurasian population is missing, as well as ENA/Onge related population, but they are very related just look at their K values.

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  7. #125
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    USA
    Ethnicity
    Malayalee(Nair)
    Nationality
    American
    mtDNA
    M3d1

    United States of America India
    Population
    Amerindian 0.35
    Arabian 0.29
    Armenian 1.06
    Central_African 0.39
    East_Central_Asian 0.26
    East_Med 0.08
    Italian 0.36
    Oceanian 1.21
    Siberian 0.79
    South_Asian 55.17
    South_Central_Asian 37.40

    West_Caucasian 2.51

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  9. #126
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    Upper Midwest, USA
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    United States

    United States of America
    Population
    Basque 3.26 Pct
    Central_Euro 7.27 Pct
    East_Balkan 2.31 Pct
    East_Central_Euro 7.17 Pct
    Eastern_Euro 0.31 Pct
    Fennoscandian 18.89 Pct
    French 9.10 Pct
    Iberian 12.77 Pct
    Italian 7.62 Pct
    North_Atlantic 12.80 Pct-
    North_Sea 18.50 Pct

  10. #127
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    V3 results:


    Amerindian 0.26
    Armenian 1.33
    Basque 0.19
    Central_African 0.31
    Malayan 2.95
    North_Caucasian 3.77
    Northeast_African 0.28
    Oceanian 1.54
    South_Asian 59.38
    South_Central_Asian 28.49
    Volga-Ural 1.07
    West_Caucasian 0.41

    Armenian, W. Caucasian down, North Caucasian and Volga Ural up.
    Last edited by Censored; 12-06-2018 at 07:49 AM.

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  12. #128
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    Bengali Brahmin
    Nationality
    American
    Y-DNA
    R-L295
    mtDNA
    T2f

    United States of America Bangladesh India
    After V3 conversion
    Population
    Amerindian -
    Arabian -
    Armenian -
    Basque 0.06
    Central_African -
    Central_Euro 1.71
    East_African -
    East_Asian -
    East_Balkan -
    East_Central_Asian 0.15
    East_Central_Euro 2.63
    East_Med -
    Eastern_Euro 1.57
    Fennoscandian 2.86
    French 1.99
    Iberian -
    Indo-Chinese 0.99
    Italian -
    Malayan 0.80
    Near_Eastern -
    North_African -
    North_Atlantic 0.69
    North_Caucasian 2.06
    North_Sea 1.61
    Northeast_African -
    Oceanian 0.95
    Omotic -
    Pygmy -
    Siberian 1.30
    South_Asian 52.02
    South_Central_Asian 26.67
    South_Chinese -
    Volga-Ural 1.44
    West_African 0.43
    West_Caucasian -
    West_Med -

    Before:
    Population
    Amerindian -
    Arabian -
    Armenian -
    Basque 0.12
    Central_African -
    Central_Euro 2.91
    East_African -
    East_Asian -
    East_Balkan 2.66
    East_Central_Asian -
    East_Central_Euro 1.02
    East_Med -
    Eastern_Euro 0.92
    Fennoscandian 0.06
    French 4.41
    Iberian -
    Indo-Chinese -
    Italian -
    Malayan 2.30
    Near_Eastern -
    North_African 0.91
    North_Atlantic -
    North_Caucasian -
    North_Sea -
    Northeast_African -
    Oceanian 1.34
    Omotic 0.34
    Pygmy -
    Siberian -
    South_Asian 51.98
    South_Central_Asian 29.37
    South_Chinese -
    Volga-Ural 0.99
    West_African 0.64
    West_Caucasian -
    West_Med -

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  14. #129
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    England
    Ethnicity
    Pakistani - Gujjar
    Y-DNA
    L-M27
    mtDNA
    U7

    Pakistan England
    Central_Euro: 2.36
    Near_Eastern: 0.11
    North_African: 1.07
    North_Caucasian: 13.14
    Pygmy: 0.58
    South_Asian: 34.84
    South_Central_Asian: 46.20
    Volga-Ural: 1.16
    West_Caucasian: 0.54

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  16. #130
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    Canada
    Ethnicity
    Punjabi Sikh Ramgarhia
    Nationality
    Canadian
    Y-DNA
    R1a-Y2568*
    mtDNA
    M3a2

    India Punjab Canada Azad Baluchistan Sikh Empire Nishan Sahib
    Amerindian 1.00
    Armenian 1.60
    East_Central_Euro 2.18
    Eastern_Euro 4.98
    North_Atlantic 2.35
    North_Caucasian 7.27
    North_Sea 1.79
    South_Asian 38.66
    South_Central_Asian 37.51
    Volga-Ural 1.89
    West_Caucasian 0.76
    Deg Teg Fateh - Victory to Charity and Arms

    Punjab, Punjabi, Fateh.

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