No tengo ni idea de programación, se hace con una pagina y es muy fácil
Printable View
No me he metido en ForoGenetica porque quiero hacer con calma lo del Y-DNA de Iberia, por si acaso.
Poblaciones de referencia para europeos modernos según el creador de G25:
https://eurogenes.blogspot.com/2020/...n-present.html
Faltan dos aún en la hoja de datos oficial pero bueno.
Target: Juan_scaledCode:HUN_Koros_N_HG,0.137726,0.12491,0.180264,0.154395,0.128332,0.042112,0.015041,0.03646,0.071992,0.006925,-0.005196,-0.013488,0.014717,-0.003303,0.028637,0.046141,0.018384,0.005954,-0.008296,0.045772,0.061142,0.010634,-0.040672,-0.124475,0.013053
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
Yamnaya_UKR,0.119514,0.0873355,0.0452545,0.1106285,-0.028313,0.042531,0.00846,-0.003461,-0.0521535,-0.0707985,0.0002435,0.004421,-0.0043115,-0.0202305,0.0323015,0.0107395,-0.0002605,-0.011529,-0.005531,0.002376,-0.0028075,0.0004325,-0.009367,0.0192795,0.0031135
CMR_Shum_Laka_8000BP,-0.602693,0.055346,0.0148965,0.0263245,-0.0064625,0.00502,0.1243205,-0.099919,0.0138055,-0.007016,-0.00065,-0.0242785,-0.0203665,-0.0052295,0.0021035,-0.00179,0.0127125,0.017356,-0.0011945,-0.0040645,-0.003494,-0.000371,0.0016025,-0.0009035,-0.0020955
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
Levant_Natufian,0.020488,0.1431895,-0.0377125,-0.1387295,0.030775,-0.079484,-0.025616,-0.0175375,0.114329,0.002005,0.0332085,-0.0222555,0.076486,0.002133,0.0153365,0.009016,-0.0154505,-0.001014,-0.02206,0.040832,0.001497,0.0001235,-0.003636,-0.0044585,0.006287
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
CZE_Vestonice16,0.045529,0.024373,0.032809,0.084303,0.0397,-0.001116,-0.004465,0.001154,0.056653,0.023144,0.007795,-0.01169,0.006392,-0.008533,0.008686,0.012066,-0.005737,0.008488,-0.010684,0.022886,0.036436,0.009027,-0.015159,-0.065672,0.000479
BEL_GoyetQ116-1,0.043253,-0.005078,0.003017,0.093993,0.045547,0.001952,-0.00517,-0.000692,0.065857,0.024055,0.00341,0.000899,0.009366,-0.022983,0.019137,0.017634,0.011865,0.004561,-0.006034,0.034767,0.026079,0.002473,-0.023664,-0.061695,0.003712
Iberia_ElMiron,0.0774,0.044683,0.105217,0.129201,0.11079,0.031236,0.00188,0.006231,0.088559,0.02442,-0.005359,-0.002847,0.008622,-0.013487,0.037459,0.041633,0.002217,0.006968,-0.015209,0.045772,0.063638,0.007914,-0.036481,-0.129054,0.013053
RUS_Karelia_HG,0.1236877,0.0321583,0.129855,0.2101663,-0.010361,0.0571723,-0.0196627,-0.0234603,-0.002659,-0.0860153,0.0182957,-0.0184337,0.0333497,-0.039085,0.018865,0.0295237,-0.0148203,0.0031673,-0.0044413,0.012506,-0.007487,0.0169817,0.0093667,-0.021007,-0.0103383
MNG_North_N,0.0237403,-0.4314549,0.0890541,-0.0247326,-0.0815536,-0.0521129,0.0134964,0.0145379,0.0179981,0.020098,-0.029346,-0.0013703,0.0013593,-0.0051314,-0.0056033,-0.0039967,0.0038743,0.0006154,0.0038967,0.020331,-0.0196439,-0.0037801,-0.0166207,-0.0061969,0.0076981
Distance: 4.8819% / 0.04881876
54.0 TUR_Barcin_N
27.8 Yamnaya_UKR
7.8 Iberia_ElMiron
4.6 MAR_Taforalt
4.2 HUN_Koros_N_HG
1.2 RUS_Karelia_HG
0.4 CMR_Shum_Laka_8000BP
Soy Negro-Med
Target: A_scaled
Distance: 2.5085% / 0.02508476
48.2 TUR_Barcin_N
31.2 Yamnaya_UKR
11.2 HUN_Koros_N_HG
5.6 MAR_Taforalt
3.4 Levant_PPNB
0.4 IRN_Ganj_Dareh_N
Target: Luso_scaled
Distance: 4.2809% / 0.04280903
50.8 TUR_Barcin_N
29.0 Yamnaya_UKR
12.6 HUN_Koros_N_HG
7.0 MAR_Taforalt
0.4 CMR_Shum_Laka_8000BP
0.2 CZE_Vestonice16
Target: gixajo_scaled
Distance: 3.9527% / 0.03952672
52.6 TUR_Barcin_N
28.4 Yamnaya_UKR
16.6 HUN_Koros_N_HG
2.4 MAR_Taforalt
Target: gixajo_dad_scaled
Distance: 3.6972% / 0.03697185
56.4 TUR_Barcin_N
27.0 Yamnaya_UKR
12.6 HUN_Koros_N_HG
4.0 MAR_Taforalt
Target: gixajo_mom_scaled
Distance: 4.9312% / 0.04931192
50.2 TUR_Barcin_N
29.6 Yamnaya_UKR
17.8 HUN_Koros_N_HG
2.4 MAR_Taforalt
Pero de dónde sale ese cazador recolector húngaro?
No había sacado nunca tanto HG.
Code:Target: Portuguese
Distance: 3.2426% / 0.03242611
52.0 TUR_Barcin_N
29.6 Yamnaya_UKR
12.6 HUN_Koros_N_HG
5.8 MAR_Taforalt
Target: Spanish_Valencia
Distance: 3.5355% / 0.03535518
53.2 TUR_Barcin_N
28.4 Yamnaya_UKR
14.2 HUN_Koros_N_HG
2.8 MAR_Taforalt
1.4 Iberia_ElMiron
Target: Spanish_Terres_de_l'Ebre
Distance: 3.5044% / 0.03504412
54.4 TUR_Barcin_N
29.8 Yamnaya_UKR
14.2 HUN_Koros_N_HG
1.6 MAR_Taforalt
Target: Spanish_Soria
Distance: 4.0519% / 0.04051899
51.4 TUR_Barcin_N
29.0 Yamnaya_UKR
17.2 HUN_Koros_N_HG
1.6 MAR_Taforalt
0.8 Iberia_ElMiron
Target: Spanish_Pirineu
Distance: 3.3899% / 0.03389923
53.2 TUR_Barcin_N
28.2 Yamnaya_UKR
16.4 HUN_Koros_N_HG
2.2 MAR_Taforalt
Target: Spanish_Peri-Barcelona
Distance: 3.3064% / 0.03306372
53.4 TUR_Barcin_N
30.4 Yamnaya_UKR
14.4 HUN_Koros_N_HG
1.8 MAR_Taforalt
Target: Spanish_Penedes
Distance: 3.2140% / 0.03214049
52.0 TUR_Barcin_N
32.4 Yamnaya_UKR
14.0 HUN_Koros_N_HG
1.6 MAR_Taforalt
Target: Spanish_Pais_Vasco
Distance: 5.3277% / 0.05327655
53.0 TUR_Barcin_N
26.0 Yamnaya_UKR
20.6 HUN_Koros_N_HG
0.4 MAR_Taforalt
Target: Spanish_Navarra
Distance: 4.6322% / 0.04632249
54.0 TUR_Barcin_N
27.8 Yamnaya_UKR
13.4 HUN_Koros_N_HG
3.0 Iberia_ElMiron
1.8 MAR_Taforalt
Target: Spanish_Murcia
Distance: 2.9979% / 0.02997912
53.8 TUR_Barcin_N
27.8 Yamnaya_UKR
11.0 HUN_Koros_N_HG
4.0 MAR_Taforalt
3.4 Iberia_ElMiron
Target: Spanish_Menorca
Distance: 3.1057% / 0.03105676
55.4 TUR_Barcin_N
29.2 Yamnaya_UKR
12.4 HUN_Koros_N_HG
2.4 MAR_Taforalt
0.6 Iberia_ElMiron
Target: Spanish_Mallorca
Distance: 2.9174% / 0.02917408
53.2 TUR_Barcin_N
32.4 Yamnaya_UKR
12.6 HUN_Koros_N_HG
1.8 MAR_Taforalt
Target: Spanish_Lleida
Distance: 3.4806% / 0.03480622
53.4 TUR_Barcin_N
30.2 Yamnaya_UKR
15.0 HUN_Koros_N_HG
1.4 MAR_Taforalt
Target: Spanish_La_Rioja
Distance: 3.3729% / 0.03372911
57.6 TUR_Barcin_N
21.4 Yamnaya_UKR
19.2 HUN_Koros_N_HG
1.8 MAR_Taforalt
Target: Spanish_Girona
Distance: 3.2703% / 0.03270319
52.8 TUR_Barcin_N
31.8 Yamnaya_UKR
13.8 HUN_Koros_N_HG
1.6 MAR_Taforalt
Target: Spanish_Galicia
Distance: 3.3703% / 0.03370282
51.2 TUR_Barcin_N
29.6 Yamnaya_UKR
14.0 HUN_Koros_N_HG
5.2 MAR_Taforalt
Target: Spanish_Extremadura
Distance: 3.1236% / 0.03123642
52.0 TUR_Barcin_N
29.4 Yamnaya_UKR
12.8 HUN_Koros_N_HG
5.8 MAR_Taforalt
Target: Spanish_Eivissa
Distance: 3.2877% / 0.03287729
54.0 TUR_Barcin_N
31.0 Yamnaya_UKR
12.2 HUN_Koros_N_HG
2.8 MAR_Taforalt
Target: Spanish_Catalunya_Central
Distance: 3.3814% / 0.03381373
53.4 TUR_Barcin_N
30.0 Yamnaya_UKR
15.6 HUN_Koros_N_HG
1.0 MAR_Taforalt
Target: Spanish_Cataluna
Distance: 3.3987% / 0.03398689
51.6 TUR_Barcin_N
29.2 Yamnaya_UKR
16.0 HUN_Koros_N_HG
3.2 MAR_Taforalt
Target: Spanish_Castilla_Y_Leon
Distance: 3.8641% / 0.03864139
51.0 TUR_Barcin_N
29.4 Yamnaya_UKR
14.0 HUN_Koros_N_HG
5.6 MAR_Taforalt
Target: Spanish_Castilla_La_Mancha
Distance: 3.6351% / 0.03635146
54.2 TUR_Barcin_N
28.6 Yamnaya_UKR
13.8 HUN_Koros_N_HG
3.0 MAR_Taforalt
0.4 Iberia_ElMiron
Target: Spanish_Castello
Distance: 3.3389% / 0.03338949
53.8 TUR_Barcin_N
28.4 Yamnaya_UKR
15.8 HUN_Koros_N_HG
1.8 MAR_Taforalt
0.2 Iberia_ElMiron
Target: Spanish_Cantabria
Distance: 3.9153% / 0.03915253
53.0 TUR_Barcin_N
29.0 Yamnaya_UKR
16.0 HUN_Koros_N_HG
2.0 MAR_Taforalt
Target: Spanish_Canarias
Distance: 2.9512% / 0.02951201
50.6 TUR_Barcin_N
27.0 Yamnaya_UKR
11.0 HUN_Koros_N_HG
10.6 MAR_Taforalt
0.8 CMR_Shum_Laka_8000BP
Target: Spanish_Camp_de_Tarragona
Distance: 2.9994% / 0.02999431
52.2 TUR_Barcin_N
30.8 Yamnaya_UKR
14.8 HUN_Koros_N_HG
2.2 MAR_Taforalt
Target: Spanish_Barcelones
Distance: 3.6381% / 0.03638129
52.4 TUR_Barcin_N
30.2 Yamnaya_UKR
16.0 HUN_Koros_N_HG
1.4 MAR_Taforalt
Target: Spanish_Baleares
Distance: 3.0390% / 0.03039020
54.4 TUR_Barcin_N
31.2 Yamnaya_UKR
12.2 HUN_Koros_N_HG
2.2 MAR_Taforalt
Target: Spanish_Asturias
Distance: 5.1631% / 0.05163087
51.4 TUR_Barcin_N
27.8 Yamnaya_UKR
15.6 HUN_Koros_N_HG
5.2 MAR_Taforalt
Target: Spanish_Aragon
Distance: 4.1118% / 0.04111799
53.8 TUR_Barcin_N
28.4 Yamnaya_UKR
15.0 HUN_Koros_N_HG
2.6 MAR_Taforalt
0.2 Iberia_ElMiron
Target: Spanish_Andalucia
Distance: 3.4079% / 0.03407943
53.0 TUR_Barcin_N
28.2 Yamnaya_UKR
12.6 HUN_Koros_N_HG
4.8 MAR_Taforalt
1.4 Iberia_ElMiron
Target: Spanish_Alacant
Distance: 3.4966% / 0.03496632
52.8 TUR_Barcin_N
30.2 Yamnaya_UKR
12.8 HUN_Koros_N_HG
3.4 MAR_Taforalt
0.8 Iberia_ElMiron
Target: Basque_Spanish
Distance: 5.2203% / 0.05220273
53.8 TUR_Barcin_N
23.0 HUN_Koros_N_HG
22.8 Yamnaya_UKR
0.4 Iberia_ElMiron
Target: Gil_Vicente
Distance: 4.1607% / 0.04160741
50.0 TUR_Barcin_N
33.0 Yamnaya_UKR
11.6 HUN_Koros_N_HG
4.4 MAR_Taforalt
1.0 CMR_Shum_Laka_8000BP
Target: Xabier_scaled
Distance: 3.7455% / 0.03745479
49.6 TUR_Barcin_N
35.0 Yamnaya_UKR
11.8 HUN_Koros_N_HG
3.6 MAR_Taforalt
Target: Endovelicus_scaled
Distance: 4.0641% / 0.04064072
50.0 TUR_Barcin_N
29.6 Yamnaya_UKR
11.0 HUN_Koros_N_HG
4.6 MAR_Taforalt
2.8 Levant_Natufian
2.0 CMR_Shum_Laka_8000BP
Haciendo un analisis de la nueva calculadora de Davidski, ya conocia y habia manejado un poco alguna que otra muestra y mas o menos sabia de que iban, pero bueno aqui va, para que se hagan una idea. Ire poniendo una por una.
Target: HUN_Koros_N_HG
Distance: 3.4567% / 0.03456652
45.2 Baltic_Mesolithic:Baltic_LVA_HG
41.6 Western_Hunter-Gatherer:LUX_Loschbour
13.2 Early_European_Farmer:TUR_Barcin_N
I2373, Koros, 6000-5500 BCE
mtDNA: H
I2794, Koros, 5706-5541 calBCE
mtDNA: K1a26
I4971, Koros, 5736-5547 calBCE
mtDNA: K1
Y-DNA: I2a2
Target: Yamnaya_UKR
Distance: 2.7978% / 0.02797779
92.4 Western_Steppe_Herder:Yamnaya_RUS_Samara
2.2 Early_European_Farmer:TUR_Barcin_N
2.0 Eastern_Hunter-Gatherer:RUS_Karelia_HG
1.2 Iran_Neolithic:IRN_Ganj_Dareh_N
0.8 Satsurblia_Cluster:GEO_CHG
0.8 Baltic_Mesolithic:Baltic_LVA_HG
0.6 Sub-Saharan:Yoruba
I1917, Yamnaya, 3095-2915 calBCE
mtDNA: R0a1
I2105, Yamnaya, 3300-2700 BCE
mtDNA: T1a1
MJ-06, Yamnaya, 2864-2495 BC
mtDNA: H2a1
exactamete.
Por la edad, los cazadores-recolectores de la cultura Koros, por la edad que tiene la muestra y la situacion geografica, no se extraña que el Neolitico ya estuviese pasandoles por encima y estuviesen mezclados con EEF y ademas con otros cazadores-recolectores del Este de Europa como podian ser los del Narva.
Target: Levant_PPNB
Distance: 3.0545% / 0.03054542
53.8 Early_Levantine_Farmer:Levant_Natufian
45.4 Early_European_Farmer:TUR_Barcin_N
0.8 Iran_Neolithic:IRN_Ganj_Dareh_N
I0867, PPNB, 7300-6750 BC
mtDNA: K1a4b
Y-DNA: H2
I1704, PPNB, 7700-7000 BC
mtDNA: T1a
I1707, PPNB, 7700-7000 BC
mtDNA: R0a
Y-DNA: T(xT1a1,T1a2a)
I1710, PPNB, 7700-7000 BC
mtDNA: T1a2
Y-DNA: E1b1b1(xE1b1b1b1a1,E1b1b1a1b1,E1b1b1a1b2,E1b1b1b2a 1c)
KFH2, PPNB, 7712–7589 cal BCE
mtDNA: N1a1b
Ye metí el nuevo raw data en Gedmatch. Cambia algo.
K13 viejo.
dmix Results (sorted):
# Population Percent
1 North_Atlantic 41.06
2 West_Med 30.06
3 Baltic 11.68
4 East_Med 7.08
5 Red_Sea 5.14
6 West_Asian 2.1
7 Northeast_African 1.24
8 South_Asian 0.9
9 Oceanian 0.76
Spoiler!
K13 nuevo.
Admix Results (sorted):
# Population Percent
1 North_Atlantic 41.99
2 West_Med 27.93
3 Baltic 11.87
4 Red_Sea 6.92
5 East_Med 6.37
6 South_Asian 1.5
7 West_Asian 1.41
8 Oceanian 0.96
9 Northeast_African 0.63
10 Sub-Saharan 0.41
Spoiler!
k15 viejo
Admix Results (sorted):
# Population Percent
1 Atlantic 32.08
2 West_Med 23.79
3 North_Sea 18.99
4 Baltic 8.49
5 East_Med 5.03
6 Red_Sea 4.7
7 West_Asian 2.59
8 Eastern_Euro 2.27
9 Northeast_African 1.32
10 Oceanian 0.63
11 South_Asian 0.1
Spoiler!
K15 nuevo
Admix Results (sorted):
# Population Percent
1 Atlantic 33.75
2 West_Med 21.75
3 North_Sea 18.16
4 Baltic 8.23
5 Red_Sea 6.46
6 East_Med 4.89
7 Eastern_Euro 2.78
8 West_Asian 1.35
9 Northeast_African 0.99
10 Oceanian 0.87
11 South_Asian 0.77
Spoiler!
Cambia un poco , pero en general son similares, en el k36 por ejemplo me sube bastante el Arabian, algo el North Sea y el Basque, o me aparece algo de Oceanian, me baja el French y el Italian cosas así.El Iberian practicamente igual...
Con MH.
Spoiler!
Con 23andMe.
Spoiler!
Ni idea de cual es mas acertado, no se si me vale la pena pedir el G25, o no, tengo curiosidad, pero va a ser un lío luego. Igual dejo de poner resultados de mis padres y pongo solo los de las dos coordenadas mías.
También podría hacer una media de mis dos coordenadas, pero el cambio sería mínimo. ¿Tú qué opinas?
En general los resultados son muy cercanos, no vale a pena pedir un nuevo G25 y pagar 12USD
Calculadores son lo que son, tus componentes en K13 y K15 son cercanos en ambos, así como las referencias. El mayor problema son las correlaciones de componentes en cada teste, tienes Portugueses con 35% Atlantic y otros solo con 20% pero esta diferencia es artificial, es más una consecuencia de los testes. Pero es natural que hagan diferencias, pruebas diferentes testan SNPs diferentes - es imposible tener los mismos resultados
Lo sé.
Aún así me estoy pensando lo de pedir el G25 de estos raw data.
Lo que más lamento es haberle hecho el test a mis padres con MH, no porque sea especialmente malo, si no porque mi padre no quiere volver a hacerse ningún test más, y me hubiera gustado tener sus resultados y raw data de 23andMe también.
En los matches de 23andme me salen 3 portugueses, dos de ellos (que deben de ser familia) en un pueblo cerca de Oporto.
¿No hay muchos Europeos que se testeen con 23andMe, no? Lo digo porque tengo solo 21 matches en la península Ibérica,no llega ni a 100 en toda Europa, y cosa de 1000 en América.
Acabo de entrar en vahaduo y pone en rojo esto:
han actualizado...qué exactamente?Quote:
Official Eurogenes datasets (29.07.2020)
No se, pero yo sigo tranquilo con mi gente:
Distance to: A
0.02084411 Spanish_Extremadura
0.02131956 Spanish_Mallorca
0.02185645 Spanish_Catalunya_Central
0.02203262 Spanish_Peri-Barcelona
0.02204172 Spanish_Camp_de_Tarragona
0.02212577 Spanish_Penedes
0.02259359 Spanish_Castello
0.02261551 Spanish_Girona
0.02266757 Swiss_Italian
0.02271283 Spanish_Murcia
0.02275305 Portuguese
0.02275319 Spanish_Soria
0.02278730 Spanish_Baleares
0.02303470 Italian_Veneto
0.02308597 Spanish_Canarias
0.02322142 French_Provence
0.02329221 Italian_Aosta_Valley
0.02332985 Spanish_Galicia
0.02351158 French_Corsica
0.02357911 Spanish_Pirineu
0.02364424 Italian_Umbria
0.02396388 Swiss_French
0.02411990 Spanish_Alacant
0.02454942 Italian_Northeast
0.02462321 Spanish_Cataluna
Distance to: A_scaled
0.03243769 Spanish_Extremadura
0.03381945 Portuguese
0.03545602 Spanish_Murcia
0.03589345 Spanish_Galicia
0.03603579 Spanish_Mallorca
0.03637377 Spanish_Baleares
0.03770743 Spanish_Eivissa
0.03818932 Spanish_Alacant
0.03862690 Spanish_Camp_de_Tarragona
0.03862861 Swiss_Italian
0.03892592 Spanish_Andalucia
0.03933381 Spanish_Menorca
0.03966465 Italian_Veneto
0.03986138 Spanish_Peri-Barcelona
0.03998288 Spanish_Girona
0.04004703 Spanish_Canarias
0.04031034 Spanish_Penedes
0.04031946 French_Provence
0.04086925 Spanish_Castilla_Y_Leon
0.04124225 Spanish_Castello
0.04178732 Spanish_Cataluna
0.04202779 Italian_Piedmont
0.04231565 Spanish_Catalunya_Central
0.04247996 Spanish_Valencia
0.04262202 Italian_Trentino-Alto-Adige
Asi como cuando eres mas extremeño que un extremeño:
Distance to: Juan_scaled
0.02910482 Spanish_Castilla_Y_Leon
0.03060709 Spanish_Andalucia
0.03207127 Spanish_Murcia
0.03254575 Portuguese
0.03321373 Spanish_Extremadura
Distance to: A_scaled
0.03243769 Spanish_Extremadura
Jejex.