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Thread: Genética de españoles e hispanoamericanos

  1. #4871
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    [QUOTE=Defcon2;7134474]Usa esta mejor:

    Code:
    TUR_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
    BRA_LapaDoSanto_9600BP,0.050765,-0.3095332,0.1206032,0.098515,-0.1156522,-0.017626,-0.284645,-0.3400012,-0.0136212,-0.0184422,0.002241,-0.003267,0.0004162,0.017478,-0.0065688,0.0064438,0.006493,-0.001267,0.0026898,0.003727,-0.0010482,0.007963,-0.002662,-0.0043378,0.001413
    Dinka,-0.577083,0.050776,-0.000377,-0.00751,-0.005386,-0.001673,-0.017685,0.020422,0.081145,-0.09695,-0.02107,0.022742,-0.038317,-0.00117,0.010145,-0.021347,0.018612,-0.009438,0.024197,-0.024168,0.002402,0.003308,0.001479,0.000904,0.0097
    ETH_4500BP,-0.511066,0.043668,0.000754,0.000969,-0.00277,-0.011435,0.050997,-0.045229,0.089172,-0.087838,-0.012991,-0.002997,-0.031219,0.000688,0.02158,-0.029965,0.027772,0.039273,0.00176,-0.009004,0.000374,0.006183,-0.003451,-0.00241,-0.000838
    Han,0.0206952,-0.4507105,-0.0082967,-0.0651579,0.0780846,0.0374475,0.0029055,-0.004804,-0.0150232,-0.0031146,-0.0495875,-0.0070573,0.0072707,-0.0081072,-0.0043305,0.0012535,0.0017542,-0.0008638,-0.0020455,-0.0102206,0.0122397,0.0069582,0.0141063,-0.0012925,-0.0022315
    IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
    IRN_Shahr_I_Sokhta_BA2_I8728,0.033009,-0.081242,-0.184789,0.125325,-0.09848,0.06777,0.002585,0.007615,0.03661,0.02606,-0.002273,0.010041,-0.005798,0.006744,0.004479,0.001326,0.008605,0.001267,0.00352,0.001376,0.003743,-0.004946,-0.00037,-0.00253,-0.007305
    Jarawa,-0.021982,-0.243028,-0.132416,0.098697,0.032372,-0.004584,-0.01012,0.006505,0.054697,0.023805,0.022806,0.002735,-0.004153,0.010356,-0.010807,-0.011444,0.009453,-0.001908,-0.006222,0.028678,-0.00464,0.011136,-0.01234,0.002267,0.004985
    Kura-Araxes_ARM_Kaps,0.1013025,0.133034,-0.07071,-0.043605,-0.0498555,-0.0092035,0.008108,-0.011653,-0.066368,-0.01631,0.0030855,0.011015,-0.019846,0.005849,0.0042075,-0.0102095,-0.0001305,-0.003927,-0.001697,0.0032515,0.003494,-0.000247,-0.0036975,-0.0090975,-0.0030535
    Levant_PPNB,0.072847,0.1639064,-0.0316026,-0.1361132,0.0332986,-0.0645352,-0.0134426,-0.0147684,0.0741604,0.03601,0.0188046,-0.0150764,0.035738,0.0025596,-0.0217696,0.006099,0.0098048,-0.0013176,-0.0047264,0.0188088,-0.001797,0.0071472,0.0008872,-0.0056874,-0.0037602
    MAR_Taforalt,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
    Nganassan,0.047692,-0.406618,0.155789,0.00239,-0.159445,-0.088213,0.028507,0.043337,0.031088,0.012848,0.102857,0.009412,-0.004073,-0.026162,-0.021973,-0.012331,-0.001095,0.013416,0.026837,-0.00085,0.043136,-0.011895,0.03361,0.000398,0.013556
    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
    Yamnaya_RUS_Samara,0.1255849,0.089028,0.0426986,0.1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537
    Yoruba,-0.630062,0.062501,0.022113,0.016708,0.000503,0.012474,-0.044417,0.047767,-0.048881,0.032769,0.004621,0.00079,0.023056,0.000951,0.012523,-0.009607,0.007076,0.000449,0.006022,-0.00299,0.001554,0.002316,-0.001759,-0.000471,-0.000425
    Esta es la que usa Davidsky cuando nos pasa las coordenadas?

    Target: gixajo_scaled
    Distance: 3.7422% / 0.03742166

    54.6 TUR_Barcin_N
    29.0 Yamnaya_RUS_Samara
    14.2 WHG
    2.2 MAR_Taforalt

    Target: gixajo_dad_scaled
    Distance: 3.5801% / 0.03580141

    58.0 TUR_Barcin_N
    27.4 Yamnaya_RUS_Samara
    10.8 WHG
    3.8 MAR_Taforalt

    Target: gixajo_mom_scaled
    Distance: 4.8702% / 0.04870234

    52.6 TUR_Barcin_N
    30.2 Yamnaya_RUS_Samara
    15.2 WHG
    2.0 MAR_Taforalt

  2. #4872
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    Quote Originally Posted by Spaniard 2.0 View Post
    Las compre en un sótano lúgubre chino ocupado por gente de dudosa fiabilidad.

    Mi padre esta mas cerca de las poblaciones francesas que yo, supongo que es por eso.
    Qué tal te modelas usando a tus padres de sources?

  3. #4873
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    Quote Originally Posted by gixajo View Post
    Qué tal te modelas usando a tus padres de sources?
    Mal, jajaj. Me parezco bastante mas a mi padre. Puede ser que sea por la raw data diferente? Igual si me hago otra prueba salgo diferente, pero ya paso. Las de mis padres me salieron baratas 45 euros cada una.

    Target: Xabier_scaled
    Distance: 2.0231% / 0.02023095
    83.2 Dad_scaled
    16.8 Mom_scaled

  4. #4874
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    Quote Originally Posted by Spaniard 2.0 View Post
    Mal, jajaj. Me parezco bastante mas a mi padre. Puede ser que sea por la raw data diferente? Igual si me hago otra prueba salgo diferente, pero ya paso. Las de mis padres me salieron baratas 45 euros cada una.

    Target: Xabier_scaled
    Distance: 2.0231% / 0.02023095
    83.2 Dad_scaled
    16.8 Mom_scaled
    También tengo la duda esa de que las coordenadas hechas con distintas raw data (distinta empresa) pueda afectar, habría que preguntarselo a alguien.

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    Quote Originally Posted by gixajo View Post
    Esta es la que usa Davidsky cuando nos pasa las coordenadas?

    Target: gixajo_scaled
    Distance: 3.7422% / 0.03742166

    54.6 TUR_Barcin_N
    29.0 Yamnaya_RUS_Samara
    14.2 WHG
    2.2 MAR_Taforalt

    Target: gixajo_dad_scaled
    Distance: 3.5801% / 0.03580141

    58.0 TUR_Barcin_N
    27.4 Yamnaya_RUS_Samara
    10.8 WHG
    3.8 MAR_Taforalt

    Target: gixajo_mom_scaled
    Distance: 4.8702% / 0.04870234

    52.6 TUR_Barcin_N
    30.2 Yamnaya_RUS_Samara
    15.2 WHG
    2.0 MAR_Taforalt
    Si, siempre uso la misma pero supuestamente en realidad ningún peninsular ibérico puede puntuar más de 2% en Taforalt...

  6. #4876
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    Quote Originally Posted by Spaniard 2.0 View Post
    Mal, jajaj. Me parezco bastante mas a mi padre. Puede ser que sea por la raw data diferente? Igual si me hago otra prueba salgo diferente, pero ya paso. Las de mis padres me salieron baratas 45 euros cada una.

    Target: Xabier_scaled
    Distance: 2.0231% / 0.02023095
    83.2 Dad_scaled
    16.8 Mom_scaled
    Mis distancias:

    Distance to: Juan_scaled
    0.03515119 Mom_Xabier_scaled
    0.04084460 Dad_Xabier_scaled
    0.04636935 Xabier_scaled

    Como comparación:

    Distance to: Juan_scaled
    0.03496192 gixajo_dad_scaled
    0.04331355 gixajo_mom_scaled
    0.04401928 gixajo_scaled

    No parece ser extraño que el "hijo" sea diferente y no como una cosa 50/50 al menos en esto del g25.

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    Quote Originally Posted by Defcon2 View Post
    Si, siempre uso la misma pero supuestamente en realidad ningún peninsular ibérico puede puntuar más de 2% en Taforalt...
    Ah no? Y eso por qué?

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    Quote Originally Posted by gixajo View Post
    Ah no? Y eso por qué?
    Bueno 2% si pero no un 5-6% que suelo obtener.

    https://anthrogenica.com/showthread....l=1#post744565

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    Quote Originally Posted by Defcon2 View Post
    Bueno 2% si pero no un 5-6% que suelo obtener.

    url]
    Un 5-6% de MAR_taforalt no es tanto, por ahí andará la media real española, incluso un poquillo más metiendo a canarios.

    Eso es como un 1/6 de marroquí moderno aproximadamente, andamos todos entre un 10-15% de guanches usando las referencias Iberian IA que hay ahora mismo en el datasheet, o proxies artificiales rarunos NW IA que hacemos.

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    Quote Originally Posted by gixajo View Post
    Un 5-6% de MAR_taforalt no es tanto, por ahí andará la media real española, incluso un poquillo más metiendo a canarios.

    Eso es como un 1/6 de marroquí moderno aproximadamente, andamos todos entre un 10-15% de guanches usando las referencias Iberian IA que hay ahora mismo en el datasheet, o proxies artificiales rarunos NW IA que hacemos.
    No hay ningún estudio que diga que los españoles seamos un 15% marroquíes, o si?

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