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Thread: Myanthropologies' MyHeritage results

  1. #71
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    Quote Originally Posted by Leto View Post
    Could you finally share your K13 results? You've overlooked one of the most popular calculators.
    Here's what I get on k13. It doesn't seem very accurate for me or other pashtuns that much, it seems to be a good calculator only for Europeans. Tajiks are way too far on the list than what other calculators gave me. It gives me 5% extra South Asian than what an average Afghan Pashtun gets on this calculator, but that is due to some of my Balochi and n_euro components being inflated into the score (which i figured out by comparing with calculators that separate balochi/ani from asi).


    # Population Percent
    1 West_Asian 40.43
    2 South_Asian 30.34
    3 Baltic 10.88
    4 East_Med 8.1
    5 North_Atlantic 4.65
    6 Siberian 2.35
    7 Amerindian 1.67
    8 Oceanian 0.7
    9 Sub-Saharan 0.7
    10 East_Asian 0.17
    11 Northeast_African 0.02

    Single Population Sharing:

    # Population (source) Distance
    1 Afghan_Pashtun 5.98
    2 Kalash 8.08
    3 Pathan 8.84
    4 Burusho 11.57
    5 Makrani 13.36
    6 Balochi 13.9
    7 Punjabi_Jat 14.12
    8 Brahui 14.76
    9 Sindhi 15.23
    10 Tadjik 15.66
    11 Afghan_Tadjik 16.71
    12 Turkmen 23.93
    13 Tabassaran 24.56
    14 Lezgin 25.76
    15 Chechen 25.93
    16 Kumyk 26.16
    17 Kabardin 27.06
    18 Adygei 27.39
    19 Brahmin_UP 27.56
    20 Iranian 27.58

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 74.8% Pathan + 25.2% Lezgin @ 1.66
    2 75.1% Pathan + 24.9% Chechen @ 2.12
    3 74.1% Pathan + 25.9% Tabassaran @ 2.22
    4 76.3% Pathan + 23.7% Adygei @ 2.43
    5 76.7% Pathan + 23.3% North_Ossetian @ 2.44
    6 86.4% Kalash + 13.6% Lebanese_Druze @ 2.64
    7 75.6% Pathan + 24.4% Kumyk @ 2.79
    8 84.2% Kalash + 15.8% Iranian_Jewish @ 2.85
    9 76.3% Pathan + 23.7% Kabardin @ 2.93
    10 77% Pathan + 23% Balkar @ 3.01
    11 77% Pathan + 23% Ossetian @ 3.03
    12 61.7% Afghan_Pashtun + 38.3% Pathan @ 3.04
    13 78.6% Kalash + 21.4% Iranian @ 3.08
    14 84.8% Kalash + 15.2% Kurdish_Jewish @ 3.08
    15 84.1% Kalash + 15.9% Assyrian @ 3.1
    16 79.6% Kalash + 20.4% Azeri @ 3.1
    17 87.1% Kalash + 12.9% Lebanese_Christian @ 3.15
    18 79.3% Pathan + 20.7% Georgian @ 3.25
    19 85.6% Kalash + 14.4% Lebanese_Muslim @ 3.36
    20 79.9% Pathan + 20.1% Abhkasian @ 3.38
    Learn some about Afghans here
    http://www.theapricity.com/forum/sho...of-Afghanistan

    Indian Genomics can be modeled by four-way populations, not two way populations. Read more in this thread:
    https://www.theapricity.com/forum/sh...tion-structure

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    Quote Originally Posted by Myanthropologies View Post
    Here's what I get on k13. It doesn't seem very accurate for me or other pashtuns that much, it seems to be a good calculator only for Europeans. Tajiks are way too far on the list than what other calculators gave me. It gives me 5% extra South Asian than what an average Afghan Pashtun gets on this calculator, but that is due to some of my Balochi and n_euro components being inflated into the score (which i figured out by comparing with calculators that separate balochi/ani from asi).


    # Population Percent
    1 West_Asian 40.43
    2 South_Asian 30.34
    3 Baltic 10.88
    4 East_Med 8.1
    5 North_Atlantic 4.65
    6 Siberian 2.35
    7 Amerindian 1.67
    8 Oceanian 0.7
    9 Sub-Saharan 0.7
    10 East_Asian 0.17
    11 Northeast_African 0.02

    Single Population Sharing:

    # Population (source) Distance
    1 Afghan_Pashtun 5.98
    2 Kalash 8.08
    3 Pathan 8.84
    4 Burusho 11.57
    5 Makrani 13.36
    6 Balochi 13.9
    7 Punjabi_Jat 14.12
    8 Brahui 14.76
    9 Sindhi 15.23
    10 Tadjik 15.66
    11 Afghan_Tadjik 16.71
    12 Turkmen 23.93
    13 Tabassaran 24.56
    14 Lezgin 25.76
    15 Chechen 25.93
    16 Kumyk 26.16
    17 Kabardin 27.06
    18 Adygei 27.39
    19 Brahmin_UP 27.56
    20 Iranian 27.58

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 74.8% Pathan + 25.2% Lezgin @ 1.66
    2 75.1% Pathan + 24.9% Chechen @ 2.12
    3 74.1% Pathan + 25.9% Tabassaran @ 2.22
    4 76.3% Pathan + 23.7% Adygei @ 2.43
    5 76.7% Pathan + 23.3% North_Ossetian @ 2.44
    6 86.4% Kalash + 13.6% Lebanese_Druze @ 2.64
    7 75.6% Pathan + 24.4% Kumyk @ 2.79
    8 84.2% Kalash + 15.8% Iranian_Jewish @ 2.85
    9 76.3% Pathan + 23.7% Kabardin @ 2.93
    10 77% Pathan + 23% Balkar @ 3.01
    11 77% Pathan + 23% Ossetian @ 3.03
    12 61.7% Afghan_Pashtun + 38.3% Pathan @ 3.04
    13 78.6% Kalash + 21.4% Iranian @ 3.08
    14 84.8% Kalash + 15.2% Kurdish_Jewish @ 3.08
    15 84.1% Kalash + 15.9% Assyrian @ 3.1
    16 79.6% Kalash + 20.4% Azeri @ 3.1
    17 87.1% Kalash + 12.9% Lebanese_Christian @ 3.15
    18 79.3% Pathan + 20.7% Georgian @ 3.25
    19 85.6% Kalash + 14.4% Lebanese_Muslim @ 3.36
    20 79.9% Pathan + 20.1% Abhkasian @ 3.38
    Well, I believe 30% South Asian is pretty normal for an Eastern Afghan. And Tajiks are so distant because they are like 15-20% East Asian and Siberian on Gedmatch.

  3. #73
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    Ashkenaz! welcome to the clan, you shall receive an amount of cash and be hired at high position job where you can manipulate society. as well as be invited to the secret meetings.
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  4. #74
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    Quote Originally Posted by Leto View Post
    Well, I believe 30% South Asian is pretty normal for an Eastern Afghan. And Tajiks are so distant because they are like 15-20% East Asian and Siberian on Gedmatch.
    It is not the best Eurogenes calculator for people from our region. Here are my results on another one:


    Eurogenes K8 AMI

    3.03% Amerindian
    1.87% Siberian
    17.24% Euro_HG
    2.93% Oceanian
    0.40% Sub-Saharan
    6.74% Southeast_Asian
    21.98% LBK
    45.82% South-Central_Asian

    Least-squares method.

    Using 1 population approximation:
    1 Afghan_Pashtun @ 5,356033
    2 Tajik_Pomiri @ 7,454045
    3 Tadjik @ 9,063714
    4 Pathan @ 11,778725
    5 Afghan_Uzbek @ 13,225575
    6 Afghan_Tadjik @ 13,379507
    7 Brahui @ 13,672045
    8 Burusho @ 14,081902
    9 Lezgin @ 14,364709
    10 Balochi @ 15,107577
    11 Chechen @ 16,474325
    12 GujaratiA @ 17,098363
    13 Kalash @ 17,446236
    14 Kumyk @ 18,13644
    15 Balkar @ 18,34782
    16 North_Ossetian @ 18,371049
    17 Adygei @ 18,441658
    18 Brahmin_UP @ 19,946317
    19 Turkmen @ 21,949385
    20 Punjabi @ 22,115596
    259 iterations.

    Using 2 populations approximation:
    1 Burusho+Lezgin @ 2,323015
    2 Burusho+Chechen @ 3,129354
    3 Chechen+GujaratiA @ 3,18651
    4 GujaratiA+Kumyk @ 3,751487
    5 Balkar+GujaratiA @ 3,921542
    6 Brahmin_UP+Chechen @ 3,965639
    7 GujaratiA+North_Ossetian @ 4,008727
    8 Afghan_Pashtun+Tajik_Pomiri @ 4,084433
    9 GujaratiA+Lezgin @ 4,170068
    10 Adygei+GujaratiA @ 4,194072


    Gaussian method.
    Noise dispersion set to 0,676116

    Using 1 population approximation:
    1 Tajik_Pomiri @ 5,781324
    2 Afghan_Pashtun @ 6,089563
    3 Pathan @ 7,423369
    4 Tadjik @ 7,725951
    5 Kalash @ 9,694051
    6 Afghan_Uzbek @ 10,583689
    7 Afghan_Tadjik @ 10,606791
    8 Burusho @ 10,638608
    9 GujaratiA @ 11,559264
    10 Brahui @ 11,918173
    11 Balochi @ 12,529396
    12 Kumyk @ 13,44837
    13 Turkmen @ 14,266564
    14 Balkar @ 14,515
    15 North_Ossetian @ 14,732751
    16 Nogai @ 15,432176
    17 Afghan_Turkmen @ 15,515495
    18 Brahmin_UP @ 15,769253
    19 Iranian @ 15,813125
    20 Adygei @ 15,835659
    259 iterations.

    Using 2 populations approximation:
    1 Burusho+Lezgin @ 3,236478
    2 GujaratiA+Lezgin @ 3,332307
    3 Chechen+GujaratiA @ 3,525632
    4 Lezgin+Pathan @ 3,794516
    5 Burusho+Chechen @ 3,966627
    6 Chechen+Pathan @ 4,17975
    7 Pathan+Tajik_Pomiri @ 4,465679
    8 Chechen+Kalash @ 4,639514
    9 Kalash+Lezgin @ 4,673726
    10 Afghan_Pashtun+Tajik_Pomiri @ 4,766173

  5. #75
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    Quote Originally Posted by Leto View Post
    Well, I believe 30% South Asian is pretty normal for an Eastern Afghan. And Tajiks are so distant because they are like 15-20% East Asian and Siberian on Gedmatch.
    No, it's actually not, because I get closer to Tajiks on other calculators. Also, on harrapa world, it shows clearly that my inflated "south asian" is actually extra Caucasus/Baloch + some extra steepe. South Asian and South Indian components are highly Caucausus-Gedrosia and Steepe admixed. Baloch is basically all Caucasus/gedrosia, with some steepe. And South indian on harrapa world seems to be highly Caucasus dominated component too, based on what I've seen south indians score on it.

    Here's what I get on harrapa world, with the pashtun spreadsheet under it

    S-Indian 18.31
    Baloch 37.49
    Caucasian 20.31
    NE-Euro 14.15
    SE-Asian 0.25
    Siberian 1.99
    NE-Asian 1.32
    Papuan 0.82
    American 1.03
    Beringian 0.96
    Mediterranean 1.15
    SW-Asian 2.23
    San -
    E-African -
    Pygmy -
    W-African -
    Oracle
    Oracle-4

    Spreadsheet
    Average Afghan Pashtun

    S-Indian 18.90
    Baloch 34.35
    Caucasian 19.47
    NE-Euro 11.01
    SE-Asian 0.71
    Siberian 2.60
    NE-Asian 1.50
    Papuan 1.33
    American 1.56
    Beringian 1.88
    Mediterranean 0.71
    SW-Asian 4.41
    San -
    E-African -
    Pygmy -
    W-African -
    Oracle

    I'd say a lot of these calculators aren't very accurate for pashtuns. Only a few mldp world, puntdal, eurogenes, and dodecad ones are.

  6. #76
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    Quote Originally Posted by Registan View Post
    It is not the best Eurogenes calculator for people from our region. Here are my results on another one:


    Eurogenes K8 AMI

    3.03% Amerindian
    1.87% Siberian
    17.24% Euro_HG
    2.93% Oceanian
    0.40% Sub-Saharan
    6.74% Southeast_Asian
    21.98% LBK
    45.82% South-Central_Asian

    Least-squares method.

    Using 1 population approximation:
    1 Afghan_Pashtun @ 5,356033
    2 Tajik_Pomiri @ 7,454045
    3 Tadjik @ 9,063714
    4 Pathan @ 11,778725
    5 Afghan_Uzbek @ 13,225575
    6 Afghan_Tadjik @ 13,379507
    7 Brahui @ 13,672045
    8 Burusho @ 14,081902
    9 Lezgin @ 14,364709
    10 Balochi @ 15,107577
    11 Chechen @ 16,474325
    12 GujaratiA @ 17,098363
    13 Kalash @ 17,446236
    14 Kumyk @ 18,13644
    15 Balkar @ 18,34782
    16 North_Ossetian @ 18,371049
    17 Adygei @ 18,441658
    18 Brahmin_UP @ 19,946317
    19 Turkmen @ 21,949385
    20 Punjabi @ 22,115596
    259 iterations.

    Using 2 populations approximation:
    1 Burusho+Lezgin @ 2,323015
    2 Burusho+Chechen @ 3,129354
    3 Chechen+GujaratiA @ 3,18651
    4 GujaratiA+Kumyk @ 3,751487
    5 Balkar+GujaratiA @ 3,921542
    6 Brahmin_UP+Chechen @ 3,965639
    7 GujaratiA+North_Ossetian @ 4,008727
    8 Afghan_Pashtun+Tajik_Pomiri @ 4,084433
    9 GujaratiA+Lezgin @ 4,170068
    10 Adygei+GujaratiA @ 4,194072


    Gaussian method.
    Noise dispersion set to 0,676116

    Using 1 population approximation:
    1 Tajik_Pomiri @ 5,781324
    2 Afghan_Pashtun @ 6,089563
    3 Pathan @ 7,423369
    4 Tadjik @ 7,725951
    5 Kalash @ 9,694051
    6 Afghan_Uzbek @ 10,583689
    7 Afghan_Tadjik @ 10,606791
    8 Burusho @ 10,638608
    9 GujaratiA @ 11,559264
    10 Brahui @ 11,918173
    11 Balochi @ 12,529396
    12 Kumyk @ 13,44837
    13 Turkmen @ 14,266564
    14 Balkar @ 14,515
    15 North_Ossetian @ 14,732751
    16 Nogai @ 15,432176
    17 Afghan_Turkmen @ 15,515495
    18 Brahmin_UP @ 15,769253
    19 Iranian @ 15,813125
    20 Adygei @ 15,835659
    259 iterations.

    Using 2 populations approximation:
    1 Burusho+Lezgin @ 3,236478
    2 GujaratiA+Lezgin @ 3,332307
    3 Chechen+GujaratiA @ 3,525632
    4 Lezgin+Pathan @ 3,794516
    5 Burusho+Chechen @ 3,966627
    6 Chechen+Pathan @ 4,17975
    7 Pathan+Tajik_Pomiri @ 4,465679
    8 Chechen+Kalash @ 4,639514
    9 Kalash+Lezgin @ 4,673726
    10 Afghan_Pashtun+Tajik_Pomiri @ 4,766173
    If like to try this calculator, but cannot find it on eurogenes. You're also from Eastern Afghanistan so I guess mine would be similar.
    Learn some about Afghans here
    http://www.theapricity.com/forum/sho...of-Afghanistan

    Indian Genomics can be modeled by four-way populations, not two way populations. Read more in this thread:
    https://www.theapricity.com/forum/sh...tion-structure

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