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Thread: Ancient K=9 G25 calculator

  1. #21
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    Normandie Netherlands Friesland Finland Orkney
    [1] "distance%=3.4977"

    angle_dad

    Beaker_Iberia,56.8
    Baltic_BA,31.2
    Armenia_ChL,7.6
    Anc_Saami,4.2
    Iran_N,0.2



    [1] "distance%=4.1284"

    angle_mom

    Beaker_Iberia,59
    Baltic_BA,28.2
    Armenia_ChL,9
    Anc_Saami,3.6
    Iran_N,0.2
    En North alom, de North venom
    En North fum naiz, en North manom

    (Roman de Rou, Wace, 1160-1170)

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  3. #22
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    Quote Originally Posted by Dorkymon View Post
    What is the rationale behind these components?
    I'm especially interested in Armenia Chalcolithic and Bell Beaker Iberia.
    I think that this is a universal calculator for the ancients.
     
    Paper Trail MyHeritage K36 G25 Mod. FTDNA
    NW Croatian 87.5%
    Slovenian 6.25%
    Unknown 6.25%
    E. Europe 35.7%
    Balkan 34.4%
    Scandinavia 21.2%
    Baltic 8.7%
    Grenzmark 0.94
    Czechs 0.93,
    Hungary 0.91
    Volhyn 0.91,
    C. Rusyns 0.91
    Slovenia 0.91
    Czech 1.79
    Hungarian 2.02
    Slovenian 2.07
    Croatian 2.39
    Ukrainian 3.01
    East Europe 99%
    Trace 1%

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  5. #23
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    Quote Originally Posted by ph2ter View Post
    I think that this is a universal calculator for the ancients.
    Sure, but for example there isn't a logical Farmer component in here, so the algorithm will pick bits from Beaker Iberia, Armenia_CHL and if that's not enough then Levant_N too.
    However, most people outside of Southwest Europe and Caucasus won't have any admixture from these groups.
    That's why I don't really get it.
    Known ancestry: 1/2 Romanian Northeast + 1/4 Romanian Southeast + 1/4 Romanian Bukovina Ukraine
    23andme: 53.5% South Euro (41.8% Balkan), 22.4% East Euro, 7.3% Northwest Euro, 0.3% Ashkenazi, 14.7% Broadly Euro, 1.8% East Asian
    MyHeritage: 92.2% Balkan, 5.8% English, 1.1% Eskimo, 0.9% Japanese
    FTDNA: 45% Southeast Euro, 45% East Euro, 4% British Isles, 3% West Middle East, 2% NE Asia
    Global 25: Anatolia_N 50.2%, EHG 32.6%, CHG 11.2%, WHG 3.8%, East Asian 2.2%

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  7. #24
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    Portugal 1143 Portugal 1485 Portugal Order of Christ
    Quote Originally Posted by Dorkymon View Post
    Sure, but for example there isn't a logical Farmer component in here, so the algorithm will pick bits from Beaker Iberia, Armenia_CHL and if that's not enough then Levant_N too.
    However, most people outside of Southwest Europe and Caucasus won't have any admixture from these groups.
    That's why I don't really get it.
    I ran this calc yesterday and I remember I got something like 73% Iberia_Beaker and some peanuts from the Baltic, which would mean I'd score roughly 3/4 of the Steppe component Iberian Beakers had. However this is obviously untrue because modern Iberians - even Basques - have higher ancestry from these groups than Bronze Age Iberians did.
    G25 Hidden Content and Hidden Content distances
    Hidden Content
    Hidden Content
    Hidden Content

    DEIBABOR
    IGO
    DEIBOBOR
    VISSAIEIGO
    BOR

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  9. #25
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    Quote Originally Posted by Ruderico View Post
    I ran this calc yesterday and I remember I got something like 73% Iberia_Beaker and some peanuts from the Baltic, which would mean I'd score roughly 3/4 of the Steppe component Iberian Beakers had. However this is obviously untrue because modern Iberians - even Basques - have higher ancestry from these groups than Bronze Age Iberians did.
    You got 73% Iberia_Beaker, where most of that 73% is made of local farmer ancestry, then some EHG and WHG. You got the additional EHG that didn't fit in the Beakers from Baltic_BA and maybe some Armenia_CHL too if you have more CHG ancestry than the Ibearia_Beaker references (~2.5%).
    Your results probably make sense, but that won't be the case for most people outside of the peninsula, unless I'm missing something.



    Known ancestry: 1/2 Romanian Northeast + 1/4 Romanian Southeast + 1/4 Romanian Bukovina Ukraine
    23andme: 53.5% South Euro (41.8% Balkan), 22.4% East Euro, 7.3% Northwest Euro, 0.3% Ashkenazi, 14.7% Broadly Euro, 1.8% East Asian
    MyHeritage: 92.2% Balkan, 5.8% English, 1.1% Eskimo, 0.9% Japanese
    FTDNA: 45% Southeast Euro, 45% East Euro, 4% British Isles, 3% West Middle East, 2% NE Asia
    Global 25: Anatolia_N 50.2%, EHG 32.6%, CHG 11.2%, WHG 3.8%, East Asian 2.2%

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  11. #26
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    None of those fits are great though, but I understand where you're coming from. I'd also get rid of the Iberia_Beaker and replace it with a more neolithic source without steppe ancestry


    edit: I might have been confusing Iberia_BA with Beaker_Iberia references, but they are similar
    Last edited by Ruderico; 11-26-2018 at 12:08 PM.
    G25 Hidden Content and Hidden Content distances
    Hidden Content
    Hidden Content
    Hidden Content

    DEIBABOR
    IGO
    DEIBOBOR
    VISSAIEIGO
    BOR

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  13. #27
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    Portugal Azores Portugal Order of Christ Portugal 1143
    Mine using some different components

    Barcin_N 57.55
    Yamnaya_Samara 28.20
    WHG 8.60
    Iberomaurusian 3.80
    Yoruba 1.85
    Levant_ChL 0.00

    Barcin_N 53.55
    Yamnaya_Samara 27.60
    Saharawi 10.15
    WHG 7.70
    Yoruba 1.00
    Levant_ChL 0.00




    Barcin_N 57.20
    Yamnaya_Samara 28.25
    WHG 8.75
    Yoruba 3.10
    Natufian 2.70
    Levant_ChL 0.00

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  15. #28
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    Beaker Netherlands is mostly Neolithic with some steepe?

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  17. #29
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    Quote Originally Posted by Bruma View Post
    Beaker Netherlands is mostly Neolithic with some steepe?
    No, they are around 60% Steppe, if memory serves right
    G25 Hidden Content and Hidden Content distances
    Hidden Content
    Hidden Content
    Hidden Content

    DEIBABOR
    IGO
    DEIBOBOR
    VISSAIEIGO
    BOR

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  19. #30
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    Quote Originally Posted by Ruderico View Post
    None of those fits are great though, but I understand where you're coming from. I'd also get rid of the Iberia_Beaker and replace it with a more neolithic source without steppe ancestry


    edit: I might have been confusing Iberia_BA with Beaker_Iberia references, but they are similar
    On a high level, the distribution of base components is pretty much like that, regardless of the distance.
    You can bring it down when working with relevant regional samples.

    So, for Portugal for example:

    [1] "distance%=3.4079"

    Portuguese

    Iberia_N,57.6
    EHG,21.6
    CHG,12.2
    Levant_N,4.4
    Iberomaurusian,3.6
    WHG,0.6

    Code:
    ,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC12,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC22,PC23,PC24,PC25
    EHG,0.120368,0.0380822,0.1277498,0.2026028,-0.0100015,0.057591,-0.0198585,-0.0253832,-0.0079765,-0.082553,0.016726,-0.0145368,0.028171,-0.0454843,0.0238867,0.0208495,-0.0080512,0.0006335,-0.0063475,0.016414,-0.005771,0.019568,0.008165,-0.020093,-0.0073345
    Iran_N,0.0440117,0.0680407,-0.1537397,0.0023687,-0.1218687,0.0190573,0.017391,-0.0033073,-0.0830367,-0.0554,-0.000325,-0.0047957,0.0061447,-0.009496,0.029587,0.0588257,-0.008084,0.0098817,0.0111033,-0.036226,0.0094003,-0.02708,-0.0116263,-0.037917,0.025746
    Levant_N,0.0700015,0.170609,-0.0267755,-0.1493885,0.0315445,-0.070141,-0.0151585,-0.0148835,0.0751625,0.043281,0.008444,-0.013188,0.030996,-0.004266,-0.019883,0.007889,0.010105,-0.0081715,-0.009113,0.018071,-0.0052405,0.0072955,0.0015405,-0.0010845,-0.004431
    WHG,0.1246365,0.116278,0.184789,0.189279,0.1546445,0.0464355,0.0131605,0.0372675,0.0890705,0.017768,-0.0153455,-0.015811,0.0159065,-0.0030275,0.053338,0.0582065,0.00502,0.016343,-0.0093015,0.055589,0.0944585,0.0111905,-0.049607,-0.160866,0.0170045
    SSA,-0.6300625,0.0625011,0.022113,0.0167079,0.0005035,0.0124741,-0.044417,0.0477673,-0.0488813,0.0327694,0.0046205,0.0007904,0.0230561,0.0009509,0.0125232,-0.0096067,0.0070763,0.0004491,0.006022,-0.00299,0.0015542,0.0023156,-0.0017592,-0.0004711,-0.0004246
    EastAsian,0.0259514,-0.4360684,0.0085228,-0.0622744,0.0483782,0.0186856,0.003008,9.24e-05,-0.0123532,0.0014212,-0.072393,-0.0089922,0.0107628,-0.006138,-0.0076544,-0.0014056,0.0019036,-0.0012162,-0.004676,-0.0091292,0.0100574,0.0093728,0.0101556,0.001229,0.0082624
    AASI,-0.0228986,-0.2444439,-0.1320588,0.096349,0.030087,-0.0046262,-0.0075063,0.0073708,0.0551494,0.0245269,0.0232692,0.0031119,-0.0041538,0.0085002,-0.0125181,-0.0110128,0.0108986,-0.0019376,-0.0058635,0.0286827,-0.0041545,0.0099577,-0.0128322,-0.0014388,0.0044449
    Iberia_N,0.124555,0.1777176,0.0314087,-0.0676454,0.0769813,-0.0358174,-0.0040286,-0.0030986,0.0623797,0.104161,0.0028304,0.0160356,-0.0376111,-0.0123666,-0.0211337,-0.0055499,0.0083073,0.002588,0.0058359,-0.0084506,0.0006774,0.0037979,-0.0075181,-0.0219651,0.000975
    Iberia_MN,0.1212218,0.1627387,0.0523252,-0.033592,0.0853235,-0.0214745,-0.0098702,-0.0010385,0.0643228,0.0923028,-0.003004,0.0138628,-0.032854,-0.0157232,-0.0081772,-0.0003315,0.0109522,0.004244,-0.001257,-0.00544,0.0181868,0.0046368,-0.0155598,-0.0405782,0.0024248
    CHG,0.087644,0.106631,-0.086361,-0.002261,-0.08617,0.0251,0.028436,0.003923,-0.129464,-0.077086,-0.005359,0.023979,-0.056788,0.012386,0.030401,-0.032617,0.025034,-0.012289,-0.021117,0.033641,0.030821,-0.009398,0.009613,-0.022654,-0.001078
    Iberomaurusian,-0.1950928,0.0838824,-0.0220238,-0.0860472,0.0300366,-0.057284,-0.0743572,0.017953,0.1578106,0.0036082,0.0185774,-0.032521,0.0781954,-0.0503696,0.071036,-0.0394586,0.0052676,-0.066765,-0.1426924,0.0345916,-0.0395804,-0.1231336,0.0711878,-0.013303,0.0179384
    Known ancestry: 1/2 Romanian Northeast + 1/4 Romanian Southeast + 1/4 Romanian Bukovina Ukraine
    23andme: 53.5% South Euro (41.8% Balkan), 22.4% East Euro, 7.3% Northwest Euro, 0.3% Ashkenazi, 14.7% Broadly Euro, 1.8% East Asian
    MyHeritage: 92.2% Balkan, 5.8% English, 1.1% Eskimo, 0.9% Japanese
    FTDNA: 45% Southeast Euro, 45% East Euro, 4% British Isles, 3% West Middle East, 2% NE Asia
    Global 25: Anatolia_N 50.2%, EHG 32.6%, CHG 11.2%, WHG 3.8%, East Asian 2.2%

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