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A ver, hacemos medias con los mismos samples, y son la media de todos los samples que hice de western y eastern Iberia mas uno solo de los dos samples vascos, al final va a salir algo muy similar. Mi Iberian penisnula es eso, Iberia oriental e Iberia occidental mas 1/10 vasco.Quote:
Originally Posted by Defcon2
Habria que sumarle algo mas de castellano y andaluz, y como han dicho, supongo que ni tú ni yo pensamos en los canarios.
Si me da continuamente por lo de Iberian, no es porque quiera anular la identidad portuguesa diluyéndola con esa denominación, es que pienso en un calculador tipo MyHeritage.
Básicamente porque solo tiene ahora mismo 42 "etnias", y soy bastante vago.
Las medias que hiciste de qué muestras se componen?Quote:
Originally Posted by gixajo
Para hacer la de España tuve que excluir a varias regiones de influencia vasca como La Rioja y Soria, por supuesto no tiene sentido meter a Canarias por el guanche.
Si me da continuamente por lo de Iberian, no es porque quiera anular la identidad portuguesa diluyéndola con esa denominación, es que pienso en un calculador tipo MyHeritage.
Básicamente porque solo tiene ahora mismo 42 "etnias", y soy bastante vago.
Eso hice yo , en las East_Iberian, si creo que te lo comenté a tí cuando las hice...Quote:
Originally Posted by Defcon2
Poner solo muestras claras orientales y occidentales que no interfieran entre sí ni con muestras vascas. De hecho no usé ninguna muestra Andaluza porque del datasheet que las cogí no venían separadas por provincias. Sólo usé una de Castilla y León que nos salía a todos en algún modelo como bastante cercana, para hacer una de las medias, cuando intenté separar los samples occidentales en Norte y Sur.
Portugal y Extremadura sobre todo y Galicia y Castilla y León menos, generalmente averages, a veces algunas muestras individuales, para las occidentales.
Para las del este, muestras catalanas, valencianas, y alguna balear, en alguna metí a Murcia, porque nadie les hace ningún caso.No metí Aragón porque el Norte puede interferir con vascos, tampoco Navarros por lo mismo, ni riojanos, ni castellano manchegos.Andaluces tampoco por lo mismo, no había por provincias.
Los canarios no los metí, pero igual no hubiera sido mala idea meter una muestra canaria entre las 9 o 10 que usé,para que suba algo el NA, está bastante bajo el promedio tanto de tu muestra de España como la mía de la península. Y muy alto el WHG.
Ya veremos mañana, de mis coordenadas ibéricas la media africana es de un 5.5, excluyendo a los nórdicos se queda en un 6.1 (más cercano a mi NA).Quote:
Originally Posted by gixajo
Ah, didn't workQuote:
Originally Posted by Hibiscus
Roman Hispania + Mayan (6.29)
Illyrian + Mayan (6.536)
Aquitani + Mayan (7.017)
Aquitani + Aztec (7.32)
Roman Hispania + Aztec (7.557)
Your closest genetic modern populations...
1. Mexican (6.986)
2. Miwok (7.731)
3. Serrano (13.58)
4. Cochimi (13.74)
5. Kumiai (22.52)
6. Tsimsian (22.79)
7. Puerto-Rican (24.41)
8. Colombian (24.71)
Bixajo quería una media con más moruno y menos europeo, pues ¡hágase!
Target: Peninsula_Ibérica2Code:Peninsula_Ibérica2,0.11052236,0.14672283,0.03990278,-0.00350091,0.04208276,-0.00241079,-0.00378331,0.00211558,0.02413561,0.03155374,0.00008948,0.00792472,-0.01400956,-0.01194213,0.01269087,-0.00039492,-0.00419512,-0.00011604,-0.00438525,-0.00011,0.00302089,-0.00127083,-0.0011265,-0.00352267,0.0027651
Distance: 2.2722% / 0.02272234
52.2 Anatolia_Barcin_N
31.4 Yamnaya_RUS_Samara
11.6 WHG
4.8 MAR_Taforalt
Interesting results!Quote:
Originally Posted by Hibiscus
Where you from? Do you have gedmatch?
A mí al menos me funciona mejor la mía, la distancia de la tuya es bastante buena, y el resultado del modelo de antiguas poblaciones se parece más a la media que la mía, igual a la mayoría le funciona mejor.Quote:
Originally Posted by Defcon2
Target: gixajo_scaled
Distance: 1.9253% / 0.01925276 | ADC: 0.25x
100.0 Iberian_Peninsula
Target: gixajo_scaled
Distance: 1.9253% / 0.01925276
100.0 Iberian_Peninsula
Distance to: gixajo_scaled
0.01925276 Iberian_Peninsula
0.02173211 Peninsula_Ibérica2
No había probado la distancia, pues no sé no sé. Utilicé la misma muestra canaria 5 veces con 7% de iberomaurusiano.Quote:
Originally Posted by gixajo
Distance to: Juan_scaled
0.03275287 Iberian_Peninsula
0.03444314 Peninsula_Ibérica2
No sé hasta que punto usar el resultado de los modelos de componentes antiguos como guía es buena idea. Para comprobar lo ya hecho sí viene bien como referencia.Quote:
Originally Posted by Defcon2
Porque en teoría se parece bastante más a la media este último sample tuyo que los anteriores que hicimos,y sin embargo las distancias son peores no?
No sé si ha sido por usar una muestra de Canarias con más posible influencia arabesca, estoy por usar mis coordenadas. El modelo quizá no lo haya captado como para verse.Quote:
Originally Posted by gixajo
I'm from Santa Ana, El Salvador, and yes I do! I'm not sure which is the best calculator to use on there though.Quote:
Originally Posted by Rocinante
You can start using gedmatch, search for it on internet, it's a free tool.Quote:
Originally Posted by Hibiscus
I know I'm just not sure whether to use Eurogenes, MDLP, etc. since I get wildly different results with them.Quote:
Originally Posted by Rocinante
Could you share eurogenes k36 and eurogenes k15 with oracles? I can try.Quote:
Originally Posted by Hibiscus
Tengo miedo...
y el otro también.Quote:
Procesando el kit de ADN
El kit de ADN de María********* (MH-*******7) está siendo procesado en nuestro laboratorio.
Rastree su kit
Quote:
Quote:
Procesando el kit de ADN
El kit de ADN de R********* (MH-*******) está siendo procesado en nuestro laboratorio.
Rastree su kit
K15 V2:Quote:
Originally Posted by Rocinante
North_Sea 16.76 Pct
Atlantic 24.92 Pct
Baltic 5.35 Pct
Eastern_Euro -
West_Med 8.14 Pct
West_Asian 0.30 Pct
East_Med 6.50 Pct
Red_Sea 1.75 Pct
South_Asian 0.24 Pct
Southeast_Asian 0.20 Pct
Siberian 0.77 Pct
Amerindian 33.84 Pct
Oceanian -
Northeast_African 0.85 Pct
Sub-Saharan 0.37 Pct
K36:
Amerindian 35.63 Pct
Arabian 0.50 Pct
Armenian -
Basque 3.21 Pct
Central_African -
Central_Euro 5.16 Pct
East_African 0.20 Pct
East_Asian -
East_Balkan -
East_Central_Asian 1.04 Pct
East_Central_Euro 0.87 Pct
East_Med 4.05 Pct
Eastern_Euro -
Fennoscandian -
French 5.48 Pct
Iberian 16.44 Pct
Indo-Chinese -
Italian 2.26 Pct
Malayan -
Near_Eastern -
North_African 1.00 Pct
North_Atlantic 5.59 Pct
North_Caucasian 0.27 Pct
North_Sea 9.22 Pct
Northeast_African 0.97 Pct
Oceanian -
Omotic -
Pygmy -
Siberian 1.34 Pct
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural 0.29 Pct
West_African 1.64 Pct
West_Caucasian 0.54 Pct
West_Med 4.25 Pct
To me, K15 looked a lot more accurate to my actual DNA results with some minor differences.
Tienes 0% de SSA, esto es algo seguro. Veo que en efecto tienes ascendencia del Norte o Centro de Europa, porque tus niveles de componentes comunes con ellos, teniendo en cuenta de alto amerindio, son altos. Iberico tienes, pero la verdad que ni tanto.Quote:
Originally Posted by Hibiscus
Mira, cuando le des al K15, en la parte de abajo te sale Oracle y Oracle-4, dale y copia lo que dice.
En el otro foro han puesto este modelo, en teoría llamado "Northern Mediterranean" o algo así, es básicamente un calculador de componentes antiguos, da resultados similares:
Target: gixajo_scaledCode:GEO_CHG,0.091058,0.102568,-0.083344,-0.00323,-0.08617,0.020638,0.024911,-0.001846,-0.128236,-0.074717,-0.006333,0.023979,-0.054856,0.004404,0.026601,-0.03275,0.02386,-0.013429,-0.022249,0.034767,0.033815,-0.007048,0.006532,-0.025787,-0.002036
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
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_EN,-0.1735805,0.0919055,-0.0258325,-0.083657,0.0283125,-0.0596825,-0.079316,0.021461,0.1500185,0.0043735,0.0222475,-0.0264515,0.075148,-0.0461725,0.069353,-0.03381,0.0171455,-0.05549,-0.1487635,0.0340785,-0.038245,-0.118212,0.0826995,-0.009941,0.021615
RUS_Devils_Gate_Cave_N,0.0162197,-0.4440402,0.0722185,-0.0511148,-0.0373912,-0.0395328,0.0034075,0.0084802,0.0064935,0.019408,-0.048595,-0.004833,-0.0030848,0.0086702,-0.0096025,-0.0133915,-0.0007825,0.0089,0.0174408,0.0100362,0.008828,-0.027729,-0.0174702,-0.00244,-0.0145795
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
TUR_Tepecik_Ciftlik_N,0.108701,0.1731478,-0.0143308,-0.100534,0.0270818,-0.0402298,-0.0045828,-0.005019,0.02623,0.05745,0.008444,0.0080555,-0.0101832,0.0052298,-0.0352192,-0.0104748,0.0088662,0.0004432,0.005342,-0.0032828,0.0026827,0.0044515,-0.0071795,-0.0038258,-0.0045805
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
Distance: 3.7441% / 0.03744113
54.6 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
14.2 WHG
2.2 MAR_EN
Target: Gil_Vicente
Distance: 4.1397% / 0.04139660
51.2 TUR_Barcin_N
33.0 Yamnaya_RUS_Samara
10.4 WHG
5.4 MAR_EN
Target: Pedro_scaled
Distance: 4.1367% / 0.04136656
44.0 TUR_Barcin_N
31.8 Yamnaya_RUS_Samara
10.0 WHG
8.6 MAR_EN
5.6 TUR_Tepecik_Ciftlik_N
¿La caja de 23andme con las muestras, se pueden echar directamente a un buzón de o mejor entregarlo en una oficina de Correos?
Sé que está prepagado, pero me da cosa meterlo ahí y ya está...
Yo lo entregué a una oficina de Correos pero el astronauta intergaláctico con ascendencia escandinava e irlandesa lo puso en un buzón.Quote:
Originally Posted by gixajo
Yo la metí a un buzón directamente pero entra justitoQuote:
Originally Posted by gixajo
¿Puedo pisarlo para que aplastado entre mejor?Quote:
Originally Posted by Spaniard 2.0
Se la metiste a un buzón? y eso entraba justito?Quote:
Originally Posted by Spaniard 2.0
Debe ser complicado meter algo de sección circular aproximada en un agujero rectangular. Salvo que Spaniard2.0 sea un personaje de Minecraft.Quote:
Originally Posted by Defcon2
¿Si meto dos lonchas de jamón serrano en la cajita, acelerarán el proceso y me darán antes los resultados?,¿O como son judíos, se ofenderán y me castigarán dándome un 18% de SSA extra?
Tengo que contar una cosa: con las prisas no sellé la cajita con el adhesivo que viene tirando de la cinta. Tal vez por eso me otorgaron un 1.1% SSA.Quote:
Originally Posted by gixajo
Puede ser. o el cartero era negro, como los huevos de un grillo negro, y la muestra se contaminó, por simpatía.Quote:
Originally Posted by Defcon2
Que va, eso no entra.Quote:
Originally Posted by Defcon2
https://www.theapricity.com/forum/sh...ator-(_Scaled)
New Calculator
Como tengo de abandonado esta seccion... madre mia.
Hice este calculador:
https://www.theapricity.com/forum/sh...65#post6746765
Pero a ver si alguien me dice como se cambia el título de un thread, porque es un poco engañoso el título y no sé como se cambia...:picard2:
Copio y pego del otro foro:
Quote:
Como siempre estamos con el recurrente debate de qué % de nuestro aporte NA es un aporte reciente o antiguo, aunque sé que no es determinante, se me ha ocurrido un método simplón para intentar discriminarlos.
Sería usar nuestras coordenadas , primero con estos dos samples:
Y luego con estos otros:Code:Moroccan,-0.0853671,0.1302133,-0.0128221,-0.0708806,0.0211321,-0.03294,-0.0277833,0.0097687,0.0554032,0.0243993,0.0095087,-0.0090252,0.0269902,-0.0144658,0.0163016,-0.0061874,-0.0027669,-0.0170326,-0.0384216,0.0094351,-0.0098438,-0.0295119,0.0209111,-0.0011248,0.0059207
Basque,0.12997965,0.15121785,0.05672945,0.01091560,0.05699690,0.00131690,-0.00236310,0.00186655,0.03097855,0.04340165,-0.00690060,0.01097355,-0.02187710,-0.01639320,0.01558220,0.00089560,-0.00886335,0.00290045,-0.00126605,-0.00568710,0.00947355,0.00248615,-0.00776400,-0.00910345,0.00472095
En distancias de 0.25X.Code: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
Basque,0.12997965,0.15121785,0.05672945,0.01091560,0.05699690,0.00131690,-0.00236310,0.00186655,0.03097855,0.04340165,-0.00690060,0.01097355,-0.02187710,-0.01639320,0.01558220,0.00089560,-0.00886335,0.00290045,-0.00126605,-0.00568710,0.00947355,0.00248615,-0.00776400,-0.00910345,0.00472095
El % del Moroccan vendría a representar el total del aporte NA moderno+antiguo, y el MAR_TAFORALT el aporte antiguo del componente NA.
Así restando al % Moroccan el % MAR_TAFORALT nos daría el aporte moderno, y podríamos ver la proporción de uno u otro, en diferentes distancias, y calcular una media aproximada en ellas para tener una media general.
Por ejemplo:
Quote:
Target: gixajo_scaled
Distance: 2.7839% / 0.02783920
92.6 Basque
7.4 Moroccan
Target: gixajo_scaled
Distance: 2.9121% / 0.02912123 | ADC: 0.5x
95.8 Basque
4.2 Moroccan
Target: gixajo_scaled
Distance: 2.7926% / 0.02792588 | ADC: 0.25x
93.4 Basque
6.6 Moroccan
DIST:NO=7.4 Moroccan-3.4 MAR_TAFORALT-----4 moderno/3.4 antiguo----54%moderno/46% antiguoQuote:
Target: gixajo_scaled
Distance: 3.0099% / 0.03009887
96.6 Basque
3.4 MAR_Taforalt
Target: gixajo_scaled
Distance: 3.1540% / 0.03154013 | ADC: 0.5x
98.6 Basque
1.4 MAR_Taforalt
Target: gixajo_scaled
Distance: 3.0236% / 0.03023582 | ADC: 0.25x
97.2 Basque
2.8 MAR_Taforalt
DIST:0.25X=6.6 Moroccan-2.8 MAR_TAFORALT-----3.8 moderno/2.8antiguo----57.7% moderno/42.3% antiguo
DIST:0.5X=4.2 Moroccan-1.4 MAR_TAFORALT-----2.8 moderno/ 1.4 antiguo---66.7% moderno/33.3% antiguo
La media sería 59.4% moderno y 40.6% antiguo.
Cosas que están mal?
Prácticamente todo, desde un sample muy moderno de Moroccan que tendrá bastante mezcla Ibérica, hasta usar un sample vasco como referente Ibérico, y unas cuantas cosas más.
Pero bueno, a día de hoy tampoco hay muchas mejores formas de separar aportes antiguos y modernos de un componente.
Otro método sería simplemente calcular proporciones observando la lista de distancias, pero este método es más entretenido, si os aburrís y os apetece jugar con números, es un buen entretenimiento, aunque no sirva para gran cosa.:)
Y como siempre, no es más que un juego.
Basque/MAR_Taforalt
Target: Pedro_scaled
Distance: 4.5581% / 0.04558146
90.0 Basque
10.0 MAR_Taforalt
Target: Pedro_scaled
Distance: 4.5848% / 0.04584802 | ADC: 0.25x
91.0 Basque
9.0 MAR_Taforalt
Basque/Moroccan
Target: Pedro_scaled
Distance: 3.4317% / 0.03431675
78.8 Basque
21.2 Moroccan
Target: Pedro_scaled
Distance: 3.4489% / 0.03448899 | ADC: 0.25x
80.2 Basque
19.8 Moroccan
Intento de modelar españoles y portugueses con solo 3 samples viejunos. Lo siento.:picard1:
Deberíamos obtener todos los españoles y portugueses distancias menores de 2 con esto:
Code: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
Iberia_Northeast_c.6-8CE_ES,0.118376,0.1457285,0.0446885,0.013566,0.0446235,-0.000139,0.0005875,0.007615,0.024441,0.0266065,-0.0080385,0.008917,-0.0064665,-0.006675,0.012079,0.002055,-0.008279,0.004371,-0.000754,0.0027515,-0.0004995,-0.0009275,-0.0056695,0.00241,-0.0022755
CHE_IA,0.125205,0.153345,0.050534,-0.003876,0.049548,-0.005578,0.0047,-0.002077,0.014726,0.033896,0.001786,0.016335,-0.016353,-0.008945,0.001764,-0.001591,0.009518,0.001647,0.002514,-0.006128,0.005241,0.005688,-0.012078,-0.004338,0.000958