Genética de españoles e hispanoamericanos

[Defcon2]

@Defcon. Has conseguido hacer algo mas con la raw?

Nada, aunque quiero informarme antes.

[Defcon2]

A ver si me aceptan, aunque supongo que no sirve de mucho.

Llevo muchos gastos este mes,y aún me quedan unos cuantos más, no puedo hacer el full genomes de Nebula por ahora.:(

Al fin analizaron mi haplo en Yfull, ahora estoy aquí:

https://www.yfull.com/tree/E-FT4968/

Anterior para ver mejor el panorama:

https://www.yfull.com/tree/E-Z6015/

Me ponen junto al almeriense, me han separado del gambiano y redujeron un poquito la edad.

Ojalá pudiera preguntarle a Shado sobre esto :picard2:

[gixajo]

Al fin analizaron mi haplo en Yfull, ahora estoy aquí:

https://www.yfull.com/tree/E-FT4968/

Anterior para ver mejor el panorama:

https://www.yfull.com/tree/E-Z6015/

Me ponen junto al almeriense, me han separado del gambiano y redujeron un poquito la edad.

Ojalá pudiera preguntarle a Shado sobre esto :picard2:

Ahora le paso este post a ver que te comenta.

¿Conoces este mapa de ancient samples del Ydna E (https://www.google.com/maps/d/viewer?mid=1R_jpaS0H5UqKinPpJc7b3PWqyCI&ll=35.296872983434746%2C1.5003242187499923&z=5)?

[Defcon2]

Ahora le paso este post a ver que te comenta.

¿Conoces este mapa de ancient samples del Ydna E (https://www.google.com/maps/d/viewer?mid=1R_jpaS0H5UqKinPpJc7b3PWqyCI&ll=35.296872983434746%2C1.5003242187499923&z=5)?

Todos los de la peninsula ibérica son típicos berberiscos además de muy recientes salvo un par de ellos que son muy antiguos.

[Ruderico]

Todos los de la peninsula ibérica son típicos berberiscos además de muy recientes salvo un par de ellos que son muy antiguos.

Las muestras de Cataluña son Cristianas, un era Godo, el otro de Sant Julià de Ramis

[gixajo]

Las muestras de Cataluña son Cristianas, un era Godo, el otro de Sant Julià de Ramis

De los catalanes:

-El de Sant Juliá de Ramis debía ser musulmán.


E-CTS7273 (1011-847 ybp) Sant Julià de Ramis (Muslim)

-Éste fue enterrado como cristiano, y por las fechas es anterior a la época musulmana, pero es también E-V13.


E-CTS5856* (1500-1400 ybp) Pla de l'Horta (Visigoth)

-Y éste es demasiado antiguo y además también es E-V13:


Avellaner Cave (Cardium Pottery) E-V13 (ca. 7000 ybp)

Pero éste sí es interesante por no estar relacionado con el dominio musulmán y ser E-M78, pero Defcon2 dirá que es muy antiguo:


La Bastida de Totana (Argaric culture) E-CTS10912 (https://www.yfull.com/live/tree/E-CTS10912/) (4132-3949 ybp)

[Ruderico]

De los catalanes:

-El de Sant Juliá de Ramis debía ser musulmán.

No se enterraban musulmanes en iglesias, fue un error de Passa (no es el único). No hay nada en su arqueología que se parezca a un túmulo islámico.


The Muslim conquest of the area at the beginning of the 8th century led to the abandonment of the fort which rapidly became a ruin, as described in documentary sources from the 9th century CE. However, the archaeological excavations completed to date have revealed that in the second half/end of the 8th century, a cemetery developed around the chapel that would be in use until the start of the 21st century. The vitality of the place, which became the center of a parish in the medieval period, is further reflected in the construction of a new church at the end of the 10th century-start of the 11th century, dedicated to Sant Julià.

La mayoría de los hombres E-L618 son Europeos. Si él fuera R-Z225 nadie diría que era musulmán, es solo estereotipo debido al yDNA E.

[mitalit]

Ya habéis visto?

These are some of the Portuguese samples whose autosomal is already available. thanks a bunch to Adamm.
I hope they all come out soon and in G25 to draw better conclusions. But from what I see they were practically the same that the current Portuguese




R10501; Portugal, Miroico; y-DNA: R1b-M269 mtDNA: U6a3b1
Autosomal:

https://i.imgur.com/0YJ7SzB.png


R10503 Portugal, Miroico; y-DNA: R-L151 mtDNA: T2c1d + 152

Autosomal:

https://i.imgur.com/mdKSI9K.png

(This one can be modelled as Half Iberian half North-African.)

R10494; Portugal, MontedaNora mtDNA: H1bj

Autosomal:

https://i.imgur.com/mGcegTz.png

(Can be modelled as 3/4 Iberian 1/4 North African).


R10507; Portugal, Miroico; mtDNA: T1a1

Autosomal:

https://i.imgur.com/5fXVpsb.png

Samples date

R10501 426 Miroico, Portugal
R10507 426 Miroico, Portugal
R10503 518 Miroico, Portugal
R10494 781 MontedaNora, Portugal

[Defcon2]

Ya habéis visto?

These are some of the Portuguese samples whose autosomal is already available. thanks a bunch to Adamm.
I hope they all come out soon and in G25 to draw better conclusions. But from what I see they were practically the same that the current Portuguese



Samples date

R10501 426 Miroico, Portugal
R10507 426 Miroico, Portugal
R10503 518 Miroico, Portugal
R10494 781 MontedaNora, Portugal


Demuestra que solo usando vascos como referente ibérico es equivocado.

[mitalit]

Demuestra que solo usando vascos como referente ibérico es equivocado.

mas


R10487; Portugal, Conimbriga; mtDNA: H

Autosomal: https://i.imgur.com/vMF1NpV.png

Looks like this female had an elevated Nordic or Germanic influx.


R10508; Portugal, Miroico; mtDNA: U6a3b1

Autosomal: https://i.imgur.com/5U2yjLP.png


R10499; Portugal, Miroico; y-DNA: R-CTS5531; mtDNA: J1c3

Autosomal:

https://i.imgur.com/1AonIqk.png


R10502; Portugal, Miroico; mtDNA: K1a
Autosomal:

https://i.imgur.com/nTFMur8.png

[mitalit]

Igual es apresurado pero parece que esto deja claro que no hubo una inmigración masiva de morsicos a tierras cristianas no (con tierras cristianas me refiero a Galicia y alrededores)?

[Defcon2]

Igual es apresurado pero parece que esto deja claro que no hubo una inmigración masiva de morsicos a tierras cristianas no (con tierras cristianas me refiero a Galicia y alrededores)?

Difícil de estimar y más con una calculadora carente de precisamente muestras norteafricanas con las que compararse :lol:

Sorprende todavía más el alto báltico que suelen tener, lo otro al menos sabíamos que la influencia magrebí empezó ya en la etapa romana.

[mitalit]

Hace tiempo vi este documental, habla de como los romanos tiraron incluso montañas en Galicia para conseguir oro. Sin duda este tipo de mega proyectos requieren de mucha gente, y por lo que me han contado los gallegos se pasan la mayor parte del día follando cabras y no tienen tiempo para estas cosas. Puede ser una explicación a estas migraciones del norte de áfrica a el oeste peninsular?

(El documental es muy bueno)

https://www.youtube.com/watch?v=AaSsF9LV7BY&ab_channel=homesanto

[gixajo]

No se enterraban musulmanes en iglesias, fue un error de Passa (no es el único). No hay nada en su arqueología que se parezca a un túmulo islámico.



La mayoría de los hombres E-L618 son Europeos. Si él fuera R-Z225 nadie diría que era musulmán, es solo estereotipo debido al yDNA E.

¿Pero en qué yacimiento de San Juliá de Ramis se encontró ese sample exactamente? Porque hay varios emplazamientos con esa denominación, y de varias épocas, desde época Ibérica hasta moderna.

¿Se basaron solo en su adn para etiquetarlo como "musulmán"? Me parece muy poco profesional si fue así.

Me suena que el año pasado volvieron a excavar en ese yacimiento y desenterraron 70 y pico nuevos individuos, muchos de ellos supuestamente peregrinos a Santiago.

Si me dices el código de ese individuo, que ahora mismo no sé cual es, podré mirar por mi cuenta como y dónde lo encontraron. Me gustaría saber porqué exactamente lo consideraron musulmán.

[Ruderico]

Nadie lo etiquetó como musulmán, solo quien hizo el mapa en google (Passa@AG).

No sé cual es él, pero solo tienes 7 muestras de Sant Julià de Ramis

I10851/SJR'15-1669: 887–1013 cal CE (1100±30 BP, Beta-458691)
 I10852/SJR'14-1670: 973–1150 cal CE (1010±30 BP, Beta-458692)
 I10853/SJR'15-1796: 989–1153 cal CE (990±30 BP, Beta-448950)
 I10854/SJR'15-1820: 973–1150 cal CE (1010±30 BP, Beta-448952)
 I10892/SJR'15-1846: 770–1200 CE (based on dates in the same context)
 I10895/SJR'15-1828: 777–981 cal CE (1140±30 BP, Beta-448953)
 I10897/SJR'17-2099: 1033–1204 cal CE (910±30 BP, Beta-477258)

[Gallop]

140. Girona Sant Julia de Ramis
1060 AD - Genetic Distance: 13.64 - I10853

Etruscan + Illyrian (4.265)
Visigoth + Etruscan (5.658)
Daunii + Etruscan (5.862)
Etruscan (6.744)
Rhaeti + Etruscan (6.795)
Rhaeti + Illyrian (6.838)
Rhaeti (9.529)
Daunii (9.646)
Visigoth (9.978)
Illyrian (10.08)

mtDNA: U4a1

Y-DNA: E1b1b1a1b1 (FGC11422/SK887/Y3865) ISOGG 2019

1. Spanish_Aragon (8.961)
2. Spanish_Valencia (9.903)
3. Spanish_Castilla_La_Mancha (10.05)
4. Spanish_Cantabria (10.10)
5. Spanish_Andalucia (10.45)
6. Spanish_Murcia (10.48)
7. Spanish_Cataluna (11.40)
8. Spanish_Castilla_Y_Leon (11.52)

Similar Samples

Bronze Age Ruzyne Central Bohemia (1880 BC) (4.909)
Iron Age Campiglia dei Foci Siena Italy (660 BC) (5.472)
Casenovole Etruscan Iron Age Italy (400 BC) (5.777)
Iron Age Campiglia dei Foci Siena Italy (655 BC) (5.955)
Iron Age Vas County Hungary (299 BC) (6.483)

Similiar Y-DNA samples

Avar Period Derecske-Hosszu Hungary: E1b1b1a1b1
Iron Age Prague Jinonice Central Bohemia: E1b1b1a1b1
Celtic Hungary Gyor-Moson-Sopron Kophaza-Szeles: E1b1b1a1b1
Iron Age Vekerzug Komarno Slovakia: E1b1b1a1b1
Iron Age Celtic Hungary Gyor-Moson-Sopron: E1b1b1a1b1
Early Medieval Venosa Italy: E1b1b1a1b1
Post Medieval Plague Victim Ellwangen Germany: E1b1b1a1b1
Viking Age Bogovej Langeland Denmark: E1b1b1a1b1a
Iberian Cordoba Caliphate: E1b1b1a1b1a
Late Medieval Cancelleria Basilica: E1b1b1a1b1a
Hungary Late Avar Szekkutas-Kapolnadulo: E1b1b1a1b1a
Hungarian Conqueror Outlier: E1b1b1a1b1a
Kulubnarti Makurian Nubia: E1b1b1a1--
Hellenic Roman / Cretan: E1b1b1a1b1a3
Iberomaurusian: E1b1b1a1--
Visigoth Mixed Slav Girona: E1b1b1a1b1a22
Late-Roman Era Montefrio Granada: E1b1b1----
Dark Ages Breclav-Libiva Czech: E1b1b1a1b1a10a
Otyrar culture Konyr Tobe: E1b1b1a1b1a6a1
Medieval Germany Krakauer Berg Peissen: E1b1b1a1b1a5a1



No tiene pinta de que fuese musulmán.

[Defcon2]

Habrá que ver cómo se comparan las muestras portuguesas con estas del otro extremo (aunque son un poco más antiguas).

Target: Iberia_Northeast_Empuries1:I8214
Distance: 3.3728% / 0.03372831
48.2 TUR_Barcin_N
32.4 Yamnaya_RUS_Samara
18.8 WHG
0.6 BRA_LapaDoSanto_9600BP

Target: Iberia_Northeast_Empuries1:I8209
Distance: 4.5589% / 0.04558928
52.8 TUR_Barcin_N
31.2 Yamnaya_RUS_Samara
16.0 WHG

Target: Iberia_Northeast_Empuries1:I8203
Distance: 4.1587% / 0.04158735
51.0 TUR_Barcin_N
35.0 Yamnaya_RUS_Samara
13.8 WHG
0.2 MAR_Taforalt

Por cierto aún no se han encontrado muestras verdaderamente romanas en la peninsula ibérica de dicha época no? casi todas tienen un perfil norafricano elevado pero ninguno tiene lo que se supone que debían tener los romanos imperiales (es decir con fuerte Levant, Irán N y eso).

Los del periodo romano disponibles:

https://i.imgur.com/Kll47qT.jpg

[gixajo]

Igual es apresurado pero parece que esto deja claro que no hubo una inmigración masiva de morsicos a tierras cristianas no (con tierras cristianas me refiero a Galicia y alrededores)?

En realidad no lo demuestra, pero sí que empieza a haber más razones de peso para pensar que el componente NA en el oeste estába en cantidades majas antes de la invasión musulmana.

Era algo que se intuía.

Ahora habría que saber porqué aunque la "conexión atlántica" parece un buen comienzo para investigar, y es algo hacia lo que ya apuntamos en algún momento.

Espero que los entusiastas del "los moros jamás estuvieron en Galicia" sepan leer todo esto en su justa medida y ahora no se vengan arriba.

[gixajo]

Todas las muestras Romanas Lusas que mencioné son de Stable population structure in Europe since the Iron Age, despite high mobility. Parecen ser muy interesantes, pero veremos en G25. No olvidar que son todas tardo-Romanas o del periodo Godo.
Empiezan a aparecer coordenadas, Monte do Nora es ya de después del 711.

G25 (simuladas a partir del K13, son unscaled???)

Portugal-MontedaNora_781EreCommune(R10494_K13_sim),0.0853,0 .1385,0.0276,-0.0241,0.0408,-0.0178,-0.0059,0.0041,0.0275,0.0343,-0.0007,0.006,-0.0053,-0.0112,0.0108,0.0067,0.0111,-0.0105,-0.0086,0.004,-0.0016,-0.0069,0.0046,-0.0062,-0.0037
Portugal-Miroico_426EreCommune(R10501_K13_sim),0.1012,0.141 ,0.0312,-0.006,0.0378,-0.0017,-0.0043,-0.0003,0.026,0.0284,-0.002,0.0037,-0.0117,-0.0111,0.0046,-0.005,-0.002,-0.0019,-0.0036,0.0011,0.001,-0.0046,0.0015,-0.0051,0.003
Portugal-Miroicoi_518EreCommune(R10503_K13_sim),0.0449,0.14 49,0.0153,-0.0409,0.0337,-0.0147,-0.0119,-0.0004,0.0338,0.0324,-0.0005,0.004,0.0008,-0.0088,0.0056,-0.0051,-0.0004,-0.0062,-0.0157,-0.0039,-0.0056,-0.0088,0.008,-0.0052,0.0005
Portugal-Miroicoi_426EreCommune(R10507_K13_sim),0.1035,0.14 28,0.0433,-0.0024,0.0462,-0.0005,-0.0069,0.0003,0.0278,0.0317,-0.0007,0.0084,-0.0125,-0.0141,0.0082,-0.0021,-0.0027,-0.003,-0.0052,-0.0019,0.0022,0.0016,-0.0026,-0.0043,0.0002

K13


Portugal_Conimbriga:R10487___AD_337___Coverage_66. 13%,38.73,16.47,28.87,2.20,9.76,0.72,1.13,0,0.20,0 ,0.20,1.69,0.03
Portugal_Miroico:R10499___AD_331___Coverage_81.68% ,35,10.38,32.24,1.54,18.69,1.46,0,0.69,0,0,0,0,0
Portugal_Miroico:R10501___AD_426___Coverage_64.40% ,34.31,10.92,27.09,3.01,15.41,2.89,1.91,1.05,0.54, 0.23,0.06,0.76,1.82
Portugal_Miroico:R10502___AD_426___Coverage_71.97% ,34.91,10.53,26.33,2.91,15.51,5.11,0.03,0.19,0,0.2 3,1.41,1.40,1.45
Portugal_Miroico:R10503___AD_518___Coverage_88.61% ,26.55,5.38,27.92,0,17.32,10.84,0.01,0,0.76,0.74,0 .46,5.27,4.75
Portugal_Miroico:R10507___AD_426___Coverage_50.92% ,38.63,11.65,31.01,0.01,9.03,4.08,0.01,0.65,0,1.61 ,0,1.86,1.49
Portugal_Miroico:R10508___AD_337___Coverage_66.89% ,34.88,7.41,31.31,2.22,15.35,5.34,0,0.10,0,0.09,0. 98,0.88,1.44
Portugal_MontedaNora:R10494___AD_781___Coverage_86 .54%,34.06,7.38,25.68,0.26,18.56,6.75,0,1.98,0.07, 0.88,0,1.28,3.10

[Damião de Góis]

"All iron age iberians were basque like - Olalde et al"

Yeah right.

[Defcon2]

"All iron age iberians were basque like - Olalde et al"

Yeah right.

xD

Olalde

Apellido vasco que goza de escasa difusión, con sus principales asientos en Guipúzcoa, Vizcaya y Álava, siendo menor su presencia en Madrid, La Rioja, Barcelona, Cádiz, Asturias, Cantabria, etc. Deriva de la voz vasca -olalde- "junto a la ferrería". Tuvo su primitiva casa solar en Oñate...

https://www.heraldicafamiliar.com/?s=Olalde&tipobusqueda=apellidos

[gixajo]

"All iron age iberians were basque like - Olalde et al"

Yeah right.

Well, they are still Basque like, but Basque like + other things...

In G25 two of them shows an extra non-European admixture (one of them of the muslim era), but rest of them seems quite similar to modern portugueses.

Some of you have the Ancient components Global Standard of Davidsky to check them better?

Coordinates are scaled, but they are not real G25 ones, just sims based on K13, we should wait to the real ones before speak, but sometimes those sims are quite accurate.

[gixajo]

xD

Olalde

Apellido vasco que goza de escasa difusión, con sus principales asientos en Guipúzcoa, Vizcaya y Álava, siendo menor su presencia en Madrid, La Rioja, Barcelona, Cádiz, Asturias, Cantabria, etc. Deriva de la voz vasca -olalde- "junto a la ferrería". Tuvo su primitiva casa solar en Oñate...

]

Íñigo Olalde Marquínez. (https://es.wikipedia.org/wiki/Marqu%C3%ADnez)

[mitalit]

https://i.gyazo.com/64e94d646549efcd89fd139c6577c866.png

[Damião de Góis]

Well, they are still Basque like, but Basque like + other things...

In G25 two of them shows an extra non-European admixture (one of them of the muslim era), but rest of them seems quite similar to modern portugueses.

Some of you have the Ancient components Global Standard of Davidsky to check them better?

Coordinates are scaled, but they are not real G25 ones, just sims based on K13, we should wait to the real ones before speak, but sometimes those sims are quite accurate.

I always said we couldn't jump into conclusions with some basque-like samples from the northeast.

I don't have any models, i was hoping one of you had them.

I would also like to remind that these are not "portuguese". Portugal only exists since the 1100s and even the Portucalense County only exists since 868. When these samples lived they were western iberians, subjects of the Roman Empire, of some barbarian kingdoms like Alan, Suebi or Visigoth, or of the Umayyad Caliphate. So when we add them to the old models we used to run for iberians, labeling them "portuguese" is not gonna be 100% correct.

[Defcon2]

R10501 y R10507 son indistinguibles del portugués moderno.

[Brás Garcia de Mascarenhas]

No mundo da genética o que hoje é verdade amanhã é falso. Cada vez mais convenço-me que ao contrário do que sempre andaram a dizer somos idênticos aos nossos antepassados, quiçá até mais comparativamente a muitos demais povos Europeus. Tenho níveis de afinidade com algumas destas amostras idênticos aos que teria com algumas amostras modernas de Ibéricos.

[gixajo]

I always said we couldn't jump into conclusions with some basque-like samples from the northeast.

I don't have any models, i was hoping one of you had them.

I would also like to remind that these are not "portuguese". Portugal only exists since the 1100s and even the Portucalense County only exists since 868. When these samples lived they were western iberians, subjects of the Roman Empire, of some barbarian kingdoms like Alan, Suebi or Visigoth, or of the Umayyad Caliphate. So when we add them to the old models we used to run for iberians, labeling them "portuguese" is not gonna be 100% correct.

It´s not only those NE samples, also BA from many areas and North IA and LIA , quite close to NW.

But yes, it was too simple try to homogenize to just a single genetic type a peninsula that had different (although not impermeable) cultures.

Anyway it´s very interesting all this and surely we will little by little know more pieces of the puzzle.

Just know we could model ourselves quite well just with Iberian IA samples without needing of non-Iberian samples.

We could already, but always with some samples labelled with "Afr" etc...

[mitalit]

Con todas las que hay

https://i.gyazo.com/6e873a367fa0edd7ea3687d0deece074.png

A mi me da la sensación de que al menos en el oeste peninsular ya estaba cortado en bacalao en la época romana (aunque mucho menos homogenizados)

[gixajo]

I always said we couldn't jump into conclusions with some basque-like samples from the northeast.

I don't have any models, i was hoping one of you had them.

I would also like to remind that these are not "portuguese". Portugal only exists since the 1100s and even the Portucalense County only exists since 868. When these samples lived they were western iberians, subjects of the Roman Empire, of some barbarian kingdoms like Alan, Suebi or Visigoth, or of the Umayyad Caliphate. So when we add them to the old models we used to run for iberians, labeling them "portuguese" is not gonna be 100% correct.

Well, it´s just a temporary label, how could we label that average? West_Iberia_...? Premedieval, post-Roman, Hispano-Roman...LIA, pre-muslim, Visigothic_era?

[gixajo]

Con todas las que hay

https://i.gyazo.com/6e873a367fa0edd7ea3687d0deece074.png

A mi me da la sensación de que al menos en el oeste peninsular ya estaba cortado en bacalao en la época romana (aunque mucho menos homogenizados)

Esas son G25 también?

Postea las coordenadas, y ya de paso puedes hacer el average, que me han dicho que sabes hacerlos muy bien.:rolleyes:

[gixajo]

Con todas las que hay

https://i.gyazo.com/6e873a367fa0edd7ea3687d0deece074.png

A mi me da la sensación de que al menos en el oeste peninsular ya estaba cortado en bacalao en la época romana (aunque mucho menos homogenizados)

Esas son G25 también?

Postea las coordenadas, y ya de paso puedes hacer el average, que me han dicho que sabes hacerlos muy bien.:rolleyes:

[mitalit]

Esas son G25 también?

Postea las coordenadas, y ya de paso puedes hacer el average, que me han dicho que sabes hacerlos muy bien.:rolleyes:

Las ha posteado Roderico

Portugal_K13_sim,0.0992,0.146075,0.0342125,-0.013775,0.0435625,-0.008375,-0.00425,0.0018625,0.0261125,0.0337625,-0.0008375,0.00565,-0.0100625,-0.009275,0.0043125,-0.000775,0.0016,-0.0030875,-0.0039,-0.000925,0.000125,-0.002825,0.0002125,-0.0061125,-0.0003875




R10487_K13_sim,0.1218,0.1482,0.0527,0.0051,0.0521,-0.0014,-0.0001,0.0031,0.023,0.0315,-0.0022,0.0087,-0.0153,-0.0058,0.0031,0.0031,-0.0002,0.0019,0.0004,-0.0029,0.0036,0.0006,-0.0043,-0.0124,-0.0038
R10494_K13_sim,0.0853,0.1385,0.0276,-0.0241,0.0408,-0.0178,-0.0059,0.0041,0.0275,0.0343,-0.0007,0.006,-0.0053,-0.0112,0.0108,0.0067,0.0111,-0.0105,-0.0086,0.004,-0.0016,-0.0069,0.0046,-0.0062,-0.0037
R10499_K13_sim,0.1258,0.1549,0.0412,-0.0142,0.0513,-0.0095,-0.0012,0.0038,0.0221,0.0404,-0.0001,0.0044,-0.0138,-0.0052,-0.0056,-0.0029,0.0036,0.0015,0.0059,-0.0005,0.0022,0.0013,-0.0045,-0.007,0.0009
R10501_K13_sim,0.1012,0.141,0.0312,-0.006,0.0378,-0.0017,-0.0043,-0.0003,0.026,0.0284,-0.002,0.0037,-0.0117,-0.0111,0.0046,-0.005,-0.002,-0.0019,-0.0036,0.0011,0.001,-0.0046,0.0015,-0.0051,0.003
R10502_K13_sim,0.1019,0.1476,0.0302,-0.0123,0.042,-0.0118,-0.003,0.0013,0.0216,0.031,0.0005,0.0054,-0.0106,-0.011,0.0066,0.0009,0.0041,-0.0053,-0.003,-0.0006,-0.0021,-0.0037,-0.0008,-0.0053,-0.0008
R10503_K13_sim,0.0449,0.1449,0.0153,-0.0409,0.0337,-0.0147,-0.0119,-0.0004,0.0338,0.0324,-0.0005,0.004,0.0008,-0.0088,0.0056,-0.0051,-0.0004,-0.0062,-0.0157,-0.0039,-0.0056,-0.0088,0.008,-0.0052,0.0005
R10507_K13_sim,0.1035,0.1428,0.0433,-0.0024,0.0462,-0.0005,-0.0069,0.0003,0.0278,0.0317,-0.0007,0.0084,-0.0125,-0.0141,0.0082,-0.0021,-0.0027,-0.003,-0.0052,-0.0019,0.0022,0.0016,-0.0026,-0.0043,0.0002
R10508_K13_sim,0.1092,0.1507,0.0322,-0.0154,0.0446,-0.0096,-0.0007,0.003,0.0271,0.0404,-0.001,0.0046,-0.0121,-0.007,0.0012,-0.0018,-0.0007,-0.0012,-0.0014,-0.0027,0.0013,-0.0021,-0.0002,-0.0034,0.0006

[Damião de Góis]

Con todas las que hay


A few are still missing, i think they are 13 in total.


Well, it´s just a temporary label, how could we label that average? West_Iberia_...? Premedieval, post-Roman, Hispano-Roman...LIA, pre-muslim, Visigothic_era?

"Portugal" should be fine for simplicity, but it will be like calling the other samples "Spanish". Yeah i would call them West Iberia IA or some of the names you are suggesting.

[mitalit]

A few are still missing, i think they are 13 in total.



"Portugal" should be fine for simplicity, but it will be like calling the other samples "Spanish". Yeah i would call them West Iberia IA or some of the names you are suggesting.
Ya, me refiero a las que hay disponibles. Aun faltan unas cuantas

[Damião de Góis]

Las ha posteado Roderico

Portugal_K13_sim,0.0992,0.146075,0.0342125,-0.013775,0.0435625,-0.008375,-0.00425,0.0018625,0.0261125,0.0337625,-0.0008375,0.00565,-0.0100625,-0.009275,0.0043125,-0.000775,0.0016,-0.0030875,-0.0039,-0.000925,0.000125,-0.002825,0.0002125,-0.0061125,-0.0003875

Could you share the model btw?

[mitalit]

Sure


Anatolia_Barcin_N:I0707,0.122929,0.184826,0.001886 ,-0.110144,0.054779,-0.048527,0.00141,-0.011769,0.036201,0.08474,0.011205,0.016335,-0.021704,0.002615,-0.038409,-0.014187,0.022817,0.00114,0.012947,-0.002751,-0.011979,0.009645,-0.008627,0.001566,-0.001676
Anatolia_Barcin_N:I0708,0.119514,0.173656,-0.003017,-0.101745,0.042469,-0.046854,-0.00094,-0.012692,0.021066,0.074717,0.009419,0.009142,-0.017691,0.000963,-0.041938,-0.007955,0.024121,0.000633,0.015209,-0.013882,-0.022336,0.008903,-0.012448,-0.012652,-0.007305
Anatolia_Barcin_N:I0709,0.119514,0.19092,0.008674,-0.108206,0.050163,-0.044065,-0.00282,-0.003923,0.038655,0.088202,0.006983,0.012289,-0.023488,0.001789,-0.042345,-0.023999,0.002347,-0.003674,0.011941,-0.019759,-0.006239,0.012242,-0.000616,-0.00723,-0.002994
Anatolia_Barcin_N:I0723,0.118376,0.178733,0.009805 ,-0.103037,0.057241,-0.05773,0.003525,0.000462,0.041518,0.080548,0.0016 24,0.004946,-0.027056,-0.005643,-0.043702,-0.006762,0.03729,0.00152,0.017975,-0.009254,-0.015473,0.002968,0.006779,-0.00012,-0.006227
Anatolia_Barcin_N:I0724,0.117238,0.168578,0.018856 ,-0.10013,0.052933,-0.047969,-0.00094,-0.004384,0.031088,0.075446,0.008931,0.01139,-0.017691,-0.003303,-0.045059,0.001989,0.041853,0.012922,0.020363,-0.009755,-0.018717,0.004699,-0.007518,-0.001928,-0.008023
Anatolia_Barcin_N:I0726,0.120652,0.180764,0.00264,-0.104653,0.053548,-0.054663,-0.005875,-0.002308,0.035383,0.088749,0.009743,0.015586,-0.027651,0.006881,-0.040716,-0.037655,-0.001825,0.002914,0.0225,-0.015382,-0.013351,0.007666,-0.004683,0.00253,0.006945
Anatolia_Barcin_N:I0727,0.114961,0.185842,0.004525 ,-0.103683,0.036314,-0.053547,-0.00141,-0.008077,0.031088,0.077633,0.005846,0.01109,-0.031813,0.00055,-0.056052,-0.010607,0.022817,0.009122,0.032807,-0.015007,-0.017968,0.005441,-0.016022,-0.007953,0.008023
Anatolia_Barcin_N:I0736,0.119514,0.183811,0.006788 ,-0.091732,0.049855,-0.049921,-0.0047,-0.006,0.04295,0.077815,0.012829,0.013338,-0.020961,-0.011423,-0.04058,0.005701,0.033248,-0.007475,0.007793,-0.007003,-0.016097,0.006306,-0.005916,-0.000964,-0.007544
Anatolia_Barcin_N:I0744,0.119514,0.186857,0.009428 ,-0.107883,0.058472,-0.052989,-0.00987,-0.01223,0.03027,0.082371,0.010393,0.01139,-0.031813,0.003441,-0.048045,-0.011668,0.022426,0.000633,0.005279,-0.007253,-0.012852,-0.000124,-0.004683,0.002289,0.001796
Anatolia_Barcin_N:I0745,0.118376,0.178733,-0.002263,-0.098838,0.049548,-0.046575,-0.010105,-0.002538,0.036814,0.075628,0.010068,0.014237,-0.017542,0.00812,-0.035966,-0.020949,0.005346,0.006334,0.020489,-0.014382,-0.017095,0.008037,0.001356,-0.009278,-0.004191
Anatolia_Barcin_N:I0746,0.120652,0.180764,0.011691 ,-0.093024,0.048317,-0.043507,-0.012691,-0.010615,0.034565,0.078726,0.010393,0.009591,-0.023786,0.006606,-0.048316,-0.027844,0.005607,0.004054,0.012947,-0.017383,-0.013102,0.011005,-0.006532,-0.005543,-0.002036
Anatolia_Barcin_N:I1096,0.120652,0.184826,0.008297 ,-0.101745,0.051702,-0.044344,-0.005405,-0.003692,0.039473,0.0831,0.010718,0.017385,-0.02438,0.006331,-0.043702,-0.0179,0.025946,-0.00076,0.012821,-0.005878,-0.015722,0.00507,-0.005793,0.007832,-0.016406
Anatolia_Barcin_N:I1097,0.120652,0.18178,-0.001886,-0.106591,0.054472,-0.048527,-0.00611,-0.007615,0.038246,0.084922,0.008769,0.014687,-0.022894,0.000413,-0.048859,-0.006629,0.021383,0.003421,0.013952,-0.015257,-0.013975,0.005441,-0.011462,-0.009158,-0.002515
Anatolia_Barcin_N:I1098,0.114961,0.179749,-0.004148,-0.092701,0.040931,-0.045459,-0.001175,-0.010846,0.030883,0.068703,0.009743,0.007044,-0.019623,0.000688,-0.044381,-0.001326,0.032987,0.003294,0.006788,-0.001501,-0.01148,0.007914,0.007025,-0.002771,-0.00958
Anatolia_Barcin_N:I1099,0.111547,0.19092,0.001508,-0.0969,0.055395,-0.04518,0.003525,-0.010615,0.037223,0.077997,0.006171,0.01124,-0.020515,0.00289,-0.039902,-0.016309,0.021644,0.00266,0.013324,-0.007504,-0.003868,0.002844,0.002588,-0.003012,-0.006347
Anatolia_Barcin_N:I1100,0.112685,0.17264,-0.001131,-0.084949,0.049855,-0.054384,-0.00705,-0.002308,0.042132,0.088749,-0.003573,0.008692,-0.02557,-0.006881,-0.040173,-0.00769,0.031553,-0.00266,0.007793,-0.01063,-0.023708,-0.00136,0.003574,-0.003253,-0.001557
Anatolia_Barcin_N:I1101,0.114961,0.179749,0.006411 ,-0.100776,0.054779,-0.043786,-0.00094,-0.000462,0.042541,0.078544,0.005684,0.008692,-0.023042,0.007432,-0.034744,-0.010209,0.01682,0.003927,0.018729,-0.006378,-0.020713,0.004575,-0.000616,-0.003133,-0.010179
Anatolia_Barcin_N:I1102,0.106994,0.170609,0.00528,-0.097546,0.059703,-0.045459,-0.003995,-0.007846,0.030474,0.08474,0.005196,0.010041,-0.029732,-0.006193,-0.031759,0.001856,0.029597,0.002154,0.013073,-0.008754,-0.009109,0.010634,-0.003821,-0.003856,-0.002634
Anatolia_Barcin_N:I1103,0.112685,0.169593,-0.006411,-0.10013,0.044008,-0.046854,-0.00705,-0.005538,0.039269,0.075992,0.011367,0.013638,-0.02215,-0.005505,-0.036644,-0.01127,0.019427,-0.002027,0.010559,-0.008004,-0.016346,0.005564,-0.011216,-0.009278,-0.006945
Anatolia_Barcin_N:I1580,0.127482,0.182795,-0.003017,-0.103037,0.052317,-0.04769,-0.008695,-0.012692,0.040496,0.076904,0.007307,0.014987,-0.020961,-0.003716,-0.043159,0.001724,0.035986,-0.001647,0.006788,-0.009254,-0.010357,-0.001731,0.000246,-0.000482,-0.010298
Anatolia_Barcin_N:I1581,0.113823,0.175687,0.001131 ,-0.110467,0.057241,-0.045459,-0.003995,-0.008077,0.040905,0.084558,0.004222,0.013488,-0.02215,-0.000826,-0.04248,0.003978,0.040549,0.004687,0.005405,-0.005628,-0.010731,0.00643,-0.013557,0.003494,-0.000958
Anatolia_Barcin_N:I1583,0.119514,0.180764,0.00264,-0.10756,0.048932,-0.051037,-0.010575,-0.008769,0.035792,0.087656,0.012342,0.012139,-0.023786,0.005092,-0.036644,-0.006497,0.020861,0.002534,0.011816,-0.003877,-0.011729,0.004822,0.001232,-0.006748,-0.00491
WHG:I1875,0.130897,0.120848,0.191577,0.194447,0.15 9107,0.048248,0.015746,0.040152,0.087332,0.007472,-0.016076,-0.015436,0.017839,-0.003303,0.047909,0.047069,0.007302,0.018497,-0.003268,0.057027,0.087471,0.00915,-0.048436,-0.143153,0.01449
Yamnaya_RUS_Samara:I0231,0.122929,0.082258,0.04487 7,0.113697,-0.033852,0.046575,0,-0.006,-0.051949,-0.072165,0.007307,0.001049,0.003271,-0.022708,0.029994,0.018297,0.005998,-0.003547,-0.00176,0.011005,-0.003244,0,-0.001725,0.013616,-0.000838
Yamnaya_RUS_Samara:I0357,0.126344,0.092413,0.03808 9,0.107883,-0.029852,0.039324,0.00564,-0.008077,-0.043768,-0.065605,-0.001137,-0.00015,-0.003568,-0.024772,0.035287,0.01896,0.00013,0.003167,-0.005279,0.004877,0.003619,0.006925,0.008504,0.012 532,-0.005269
Yamnaya_RUS_Samara:I0370,0.124067,0.08632,0.049403 ,0.111759,-0.027697,0.044623,0.00517,-0.000462,-0.066061,-0.066516,-0.002436,-0.00015,0.000297,-0.025735,0.03868,0.013789,0.000782,-0.000127,-0.005154,0.015758,0.001622,-0.0115,0.007025,0.021328,-0.003952
Yamnaya_RUS_Samara:I0429,0.130897,0.088351,0.04412 3,0.126617,-0.030467,0.050758,0.005875,0.003,-0.059516,-0.075992,0.000974,-0.008992,0.002081,-0.018717,0.039359,0.020949,0.004955,-0.000887,0.003897,0.022636,-0.005615,0.000495,0.020089,0.018798,-0.013651
Yamnaya_RUS_Samara:I0438,0.126344,0.085304,0.04261 5,0.122741,-0.032929,0.048806,-0.002115,0.002077,-0.068925,-0.080548,0.00065,0.002548,-0.00892,-0.029176,0.032437,0.011668,0.002347,-0.005068,-0.006285,0.018009,-0.00025,0.001731,0.021199,0.021328,-0.007185
Yamnaya_RUS_Samara:I0439,0.127482,0.096475,0.03733 5,0.117896,-0.017542,0.038487,0.00329,-0.006,-0.052154,-0.057587,0.001949,-0.000599,-0.007582,-0.02257,0.038273,0.016441,-0.002217,-0.004941,-0.00352,0.018634,-0.001996,0.00643,0.015529,0.02663,-0.00934
Yamnaya_RUS_Samara:I0443,0.124067,0.093429,0.03997 5,0.108206,-0.027082,0.045459,0.003995,-0.007154,-0.052563,-0.081642,0.001299,-3e-04,0.000595,-0.016515,0.044923,0.003978,-0.014212,-0.001394,-0.003771,0.013006,0.00262,0.000247,0.003944,0.0189 18,0.002036
Yamnaya_RUS_Samara:I0444,0.125205,0.08632,0.045632 ,0.119188,-0.024928,0.047969,0.00564,-0.001154,-0.050108,-0.073259,0.002598,0.002847,0,-0.042663,0.029451,0.022938,-0.000522,0.003294,-0.010307,0.013131,-0.015098,0.004204,0.010846,0.016267,0.003952
Yamnaya_RUS_Samara:I7489,0.122929,0.090382,0.04223 8,0.110144,-0.03416,0.043507,0.004935,0.000692,-0.058085,-0.082735,0.005196,0.004046,-0.010406,-0.006881,0.041123,0.01485,-0.008345,-0.006588,-0.002388,0.006878,-0.010232,-0.001731,0.014173,0.018075,-0.006586
MAR_Taforalt:TAF009,-0.162767,0.07718,-0.024513,-0.079135,0.009848,-0.047969,-0.052877,0.020538,0.13294,0.002005,0.025333,-0.026676,0.057978,-0.052985,0.072882,-0.034076,0.002347,-0.05625,-0.130475,0.04152,-0.026204,-0.120314,0.067909,-0.016508,0.012334
MAR_Taforalt:TAF010,-0.193499,0.083273,-0.03017,-0.088502,0.034776,-0.055499,-0.076378,0.019384,0.163619,0.008565,0.02111,-0.030573,0.07879,-0.046104,0.077496,-0.046141,-0.00665,-0.069805,-0.144176,0.036518,-0.042924,-0.129217,0.07629,-0.015303,0.018322
MAR_Taforalt:TAF011,-0.194638,0.085304,-0.021873,-0.088825,0.026774,-0.059961,-0.072148,0.019845,0.161165,0.002551,0.016564,-0.035818,0.080574,-0.051196,0.066367,-0.037523,0.012126,-0.071199,-0.14493,0.035767,-0.041427,-0.12662,0.068279,-0.011447,0.018441
MAR_Taforalt:TAF013,-0.196914,0.082258,-0.026398,-0.088502,0.032314,-0.057173,-0.074733,0.017768,0.156665,0.002369,0.02111,-0.036717,0.077898,-0.052159,0.072746,-0.038584,0.000913,-0.069552,-0.141285,0.039894,-0.035687,-0.125384,0.075428,-0.011206,0.020477
MAR_Taforalt:TAF014,-0.201467,0.079211,-0.018479,-0.083011,0.034468,-0.055499,-0.076848,0.014538,0.162596,0.002005,0.020461,-0.029374,0.078344,-0.054223,0.066503,-0.025192,0.017602,-0.063724,-0.151215,0.04127,-0.042176,-0.126126,0.077153,-0.014339,0.012693
SSA:Bantu_S.E.:KSP175,-0.629442,0.062963,0.023381,0.019057,-0.004616,0.008367,0.027731,-0.011999,-0.020043,0.012028,0.003897,-0.006894,-0.007284,-0.000275,-0.010993,0.005569,0,0.060557,-0.026899,0.003627,-0.00287,-0.003091,0.003451,0.000723,0.001796
SSA:Bantu_S.E.:KSP176,-0.631718,0.060932,0.020365,0.017765,-0.002462,0.012829,0.034077,-0.017307,-0.019839,0.013485,0.000812,-0.010191,-0.018137,0,-0.011808,0.009016,0.000652,0.05929,-0.024763,0.006628,-0.00287,-0.002102,0.001232,0.001084,0.000239
SSA:Bantu_S.E.:KSP177,-0.622612,0.062963,0.01697,0.015504,0.003693,0.0094 82,0.016686,-0.001385,-0.020248,0.012757,0.00406,-0.000749,-0.005946,0.003441,-0.00475,0.00716,-0.009127,0.048902,-0.016592,0.002001,-0.003494,0.002473,0.000616,0.001205,-0.001557
SSA:Bantu_S.E.:KSP178,-0.635133,0.064994,0.020365,0.019703,-0.00277,0.008088,0.038307,-0.021461,-0.02168,0.009841,0.002598,-0.015137,-0.012339,0.003165,-0.006922,0.001326,-0.000913,0.068158,-0.030042,0.002501,-0.001123,-0.000989,0.002588,0.006507,0.002275
SSA:Bantu_S.E.:KSP179,-0.626027,0.062963,0.018856,0.01292,-0.001846,0.010877,0.019271,-0.004384,-0.02127,0.002734,0.001786,-0.003597,-0.014717,0,-0.015336,0.0118,-0.002086,0.044721,-0.019986,0.005127,-0.005241,-0.001978,-0.00037,0.003012,-0.002036
SSA:Bantu_S.E.:KSP180,-0.633995,0.066009,0.018102,0.02261,-0.002154,0.008925,0.041597,-0.021691,-0.01718,0.014032,0.002273,-0.009591,-0.014123,0.004266,-0.01045,0.009149,-0.005737,0.070439,-0.028031,0.00075,-0.005865,-0.002226,0.005669,-0.004579,-0.00455
SSA:Bantu_S.E.:KSP181,-0.626027,0.064994,0.019987,0.017442,-0.000615,0.010598,0.019741,-0.005538,-0.023725,0.013303,-0.001299,-0.011839,-0.010555,0.004954,-0.007736,0.003182,-0.012256,0.055616,-0.023757,0.003752,-0.000749,0,0.002218,-0.000361,-0.000958
SSA:Bantu_S.E.:KSP182,-0.628304,0.066009,0.020365,0.016796,0.000923,0.007 251,0.035252,-0.014769,-0.027611,0.011845,0.00406,-0.003597,-0.006541,0.003165,-0.010315,0.006762,-0.01004,0.064231,-0.028156,0.003627,-0.008984,0.002473,0.000616,0.00253,0.005029
SSA:Bantu_S.E.:KSP183,-0.63058,0.061947,0.023381,0.018734,-0.000615,0.008646,0.031491,-0.018461,-0.02127,0.013121,0.003573,-0.008542,-0.01115,0.001927,-0.010043,0.003315,-0.007171,0.070946,-0.026019,0.003252,-0.006489,-0.003462,0.005053,-0.001084,-0.004191

[gixajo]

Las ha posteado Roderico

Portugal_K13_sim,0.0992,0.146075,0.0342125,-0.013775,0.0435625,-0.008375,-0.00425,0.0018625,0.0261125,0.0337625,-0.0008375,0.00565,-0.0100625,-0.009275,0.0043125,-0.000775,0.0016,-0.0030875,-0.0039,-0.000925,0.000125,-0.002825,0.0002125,-0.0061125,-0.0003875

Lo del R10503 y el R10487 me parece abusar, igual habría que quitarlos del average...

[mitalit]

Lo del R10503 y el R10487 me parece abusar, igual habría que quitarlos del average...

Yo creo que están bien, cual crees que es la razon de que salgan tantos outliers en este tipo de estudios?

Portuguese_pagixajoconamor_k13,0.1044833,0.1459167 ,0.0342833,-0.0124,0.0437833,-0.0084833,-0.0036667,0.0020333,0.02535,0.0343667,-0.0006667,0.0054167,-0.011,-0.0099333,0.0043,-0.0007,0.0022333,-0.0034,-0.00265,-0.0001,0.0005,-0.0024,-0.0003333,-0.0052167,0.0000333

[gixajo]

Yo creo que están bien, cual crees que es la razon de que salgan tantos outliers en este tipo de estudios?

Portuguese_pagixajoconamor_k13,0.1044833,0.1459167 ,0.0342833,-0.0124,0.0437833,-0.0084833,-0.0036667,0.0020333,0.02535,0.0343667,-0.0006667,0.0054167,-0.011,-0.0099333,0.0043,-0.0007,0.0022333,-0.0034,-0.00265,-0.0001,0.0005,-0.0024,-0.0003333,-0.0052167,0.0000333

Se me ocurren muchas posibles razones, porque en realidad no lo sé.

Realmente los que habría que quitar son los que sean de después del 711, independientemente de que ploteen un poco raros, o tanto los que ploteen rarunos como los de fechas posteriores al 711.

Pero bueno, para ir divirtiéndonos, con el primer average que hiciste:


West_Iberia_LIA,0.0992,0.146075,0.0342125,-0.013775,0.0435625,-0.008375,-0.00425,0.0018625,0.0261125,0.0337625,-0.0008375,0.00565,-0.0100625,-0.009275,0.0043125,-0.000775,0.0016,-0.0030875,-0.0039,-0.000925,0.000125,-0.002825,0.0002125,-0.0061125,-0.0003875
North_Iberia_IA,0.125205,0.1431895,0.065053,0.0114 665,0.058011,0.003347,-0.0034075,0.0045,0.026077,0.034989,-0.002192,0.0088425,-0.0169475,-0.0085325,0.0107215,6.65e-05,-0.008279,0.0008865,-0.000126,-0.00075,0.0082355,0.0023495,-0.0070865,-0.0118085,-0.0061075
North_Iberia_LIA,0.1257745,0.155376,0.0631675,0.00 5814,0.052933,-0.000697,-0.001175,0.0074995,0.032826,0.0429165,-0.0010555,0.008842,-0.0237115,-0.0187855,0.013572,0.0043755,-0.004759,0.0051945,-0.0022625,-0.0090665,0.0131645,0.000371,-0.0077645,-0.0163875,-0.000778
Northeast_Iberia_LIA,0.122929,0.1412094,0.0456504, 0.018411,0.0412382,0.0034167,0.0027378,0.0059997,0 .0162905,0.019244,-0.0069746,0.0078154,-0.0095364,-0.0064202,0.009161,0.0037191,-0.0010755,0.0039592,-0.0010431,0.0037894,0.0030444,0.0005132,-0.0041782,0.0024823,-0.0025866


EL NE_Iberia_LIA son el NE_Iberia son dos averages, el NE_Iberia(6CE)+NE_Iberia(6-8CE), sería equiparable al tuyo, porque mezcla de justo antes del 711, y de un poco después, pero ha sido un modelito apresurado.

[Damião de Góis]

Target: Gil_Vicente
Distance: 2.6590% / 0.02659048
62.8 West_Iberia_LIA
37.2 Northeast_Iberia_LIA

Also,

https://i.imgur.com/UNsiXAb.png

[gixajo]

Estas creo que son todas las IA&LIA&pre-medievales"puras" Ibéricas, quitando las de baja resolución y las que son posteriores al 711.

Están incluidas las SE_Iberia del 3-4CE que tienen NA a cascoporro pero siguen siendo pre-islámicas, y que están muy relacionadas con cartagineses.


Iberia_East_IA:I12410,0.132035,0.146236,0.060339,-0.004845,0.066782,-0.005857,0,0.001385,0.034155,0.050115,-0.001137,0.012589,-0.025867,-0.012248,0.008822,0.012596,0.022687,-0.001014,-0.00729,0.008879,0.006239,0.007172,-0.009983,-0.013737,-0.001916
Iberia_East_IA:I12879,0.126344,0.151314,0.061848,0 .009044,0.061242,0.006414,-0.010105,0.004154,0.014726,0.031162,-0.001786,0.009741,-0.021853,-0.015138,0.001493,-0.014187,-0.011474,-0.003041,0.013324,0.010005,0.009608,-0.004575,-0.01405,-0.007109,-0.000599
Iberia_East_IA:I3320,0.118376,0.152329,0.051288,0. 004522,0.064935,-0.003347,-0.014101,0.005538,0.030679,0.049022,-0.002273,0.014237,-0.017245,-0.017203,0.005293,0.001989,0.012386,-0.005068,-0.001006,-0.004377,0.006863,0.000124,0.001972,-0.012893,-0.000359
Iberia_East_IA:I3321,0.126344,0.157407,0.065619,0. 008075,0.062781,-0.013387,0.002115,0.007846,0.039064,0.045923,-0.000487,0.008692,-0.032111,-0.025873,0.011129,0.008221,0.007562,0.010642,0.007 919,-0.00988,0.013601,-0.008779,-0.002465,-0.023859,-0.007544
Iberia_East_IA:I3322,0.124067,0.152329,0.05506,0.0 06137,0.06155,-0.006972,0.003055,0.002769,0.037837,0.055946,-0.003735,0.013188,-0.020367,-0.009083,0.017508,-0.013126,-0.023078,0.005068,0.004902,-0.006753,0.006863,0.000495,-0.005546,-0.018677,0.001437
Iberia_East_IA:I3323,0.121791,0.15436,0.05242,-0.002261,0.059703,-0.008646,-0.00564,0.003231,0.032928,0.05212,-0.006171,0.011839,-0.031962,-0.003578,0.004343,0.001591,0.011474,0.002154,-0.003142,-0.002376,0.002246,0.001607,-0.016392,-0.018195,0.002874
Iberia_East_IA:I3324,0.122929,0.131003,0.05506,0.0 15181,0.059703,0.007809,-0.002585,0.006692,0.019225,0.036083,-0.005846,0.004946,-0.026016,-0.00234,0.00285,0.022938,0.017602,-0.001267,0.01169,-0.008004,-0.00287,0.005564,-0.004067,-0.002048,-0.005269
Iberia_East_IA:I3327,0.124067,0.146236,0.050157,-0.018411,0.042162,-0.001394,-0.00188,0.004154,0.031292,0.054671,-0.016239,0.013638,-0.011447,-0.03069,0.011401,0.025059,0.01708,0.005448,0.00402 2,0.004252,0.001996,-0.002349,-0.008381,-0.002651,0.002395
Iberia_North_IA:I3758,0.125205,0.146236,0.06675,0. 013889,0.053241,0.003347,-0.004465,0.002308,0.030474,0.034989,0.001624,0.008 393,-0.017691,-0.00812,0.013843,-0.007292,-0.02047,0.00114,-0.00352,-0.002751,0.003494,0.000618,-0.008134,-0.016508,-0.002994
Iberia_North_IA:I3759,0.125205,0.140143,0.063356,0 .009044,0.062781,0.003347,-0.00235,0.006692,0.02168,0.034989,-0.006008,0.009292,-0.016204,-0.008945,0.0076,0.007425,0.003912,0.000633,0.00326 8,0.001251,0.012977,0.004081,-0.006039,-0.007109,-0.009221
Iberia_Northeast_c.6CE_PL:I12031,0.126344,0.133034 ,0.039598,0.017119,0.03416,0.007809,0.009635,0.009 461,0.002659,0.004738,-0.006658,-0.002548,-0.009068,-0.003165,0.002307,-0.003315,0.004303,0.003547,-0.008296,0.006128,-0.000499,0.001237,-0.002711,0.00482,-0.008263
Iberia_Northeast_c.6CE_PL:I12032,0.142279,0.145221 ,0.04978,0.030039,0.03139,0.010877,-0.00047,0.013153,0.011862,0.011116,-0.006333,0.013038,-0.01888,-0.00234,0.004886,0.008221,0.004563,0.012162,0.0022 63,0.013006,0.010232,-0.000618,-0.001356,-0.002651,0.000838
Iberia_Northeast_c.6CE_PL:I12034,0.130897,0.139128 ,0.0445,0.01615,0.052317,-0.001394,0.00047,0,0.021475,0.036447,-0.000974,0.017085,-0.019623,-0.009358,0.017644,0.009281,0.000522,-0.00152,-0.009804,-0.005503,0.006738,0.005688,-0.00493,-0.013616,-0.001197
Iberia_Northeast_c.6CE_PL:I12162,0.114961,0.126941 ,0.046763,0.030685,0.043085,0.011713,0.006815,0.00 0923,0.002863,0.006196,-0.010393,0.007343,-0.000297,-0.011147,0.005157,-0.005701,0.001173,0.003801,0.005656,0.002501,0.019 965,0.000371,-0.000616,0.014821,-0.002634
Iberia_Northeast_c.6CE_PL:I12163,0.122929,0.139128 ,0.05242,0.022287,0.028313,0.005857,0.00799,-0.001615,0.001841,0.000911,-0.005196,-0.001349,-0.015163,-0.004817,0.001221,0.01843,0.020079,-0.000253,0.00352,0.008004,-0.003494,0.003091,-0.003821,0.009399,-0.003233
Iberia_Southeast_c.3-4CE:I3982,0.084229,0.147252,0.030924,-0.027132,0.044931,-0.021475,-0.00047,0.004154,0.030883,0.041914,-0.006333,0.004196,-0.00669,-0.010322,0.00665,-0.005436,-0.013951,-0.006588,-0.011816,-5e-04,0.001622,-0.006306,0.005423,-0.006145,-0.003712
Iberia_Southeast_c.3-4CE:I3983,0.075123,0.148267,0.011314,-0.039729,0.035391,-0.021753,-0.001175,0.003692,0.03027,0.032985,-0.001786,0.003747,-0.009366,-0.017616,0.008143,0.008618,0.011474,-0.00038,-0.014078,0.003377,0.002745,-0.005812,0.008504,0.000843,-0.003832
Iberia_Southeast_c.3-4CE:I4054,0.078538,0.142174,0.008674,-0.032946,0.032929,-0.014781,-0.003995,0.014769,0.028838,0.034807,-0.005846,0.002997,-0.002676,-0.017753,0.004479,0.013922,0.024121,-0.008995,-0.007793,-0.006503,-0.000125,0.000618,0.006409,0.001807,-0.003113
ESP_EIA_Tartessian:I12171,0.121791,0.14319,0.05242 ,-0.009367,0.062165,-0.003068,0.002115,0.010153,0.042132,0.048293,0.004 06,0.009292,-0.027056,-0.022845,0.004479,0.011005,0.009388,-0.003547,0.003142,0.005628,0.011605,-0.002473,-0.005546,-0.023859,-0.006227
ESP_IA:I3320,0.119514,0.145221,0.055814,0.00323,0. 061242,-0.005299,-0.003995,0.004154,0.029042,0.04647,-0.003573,0.011839,-0.017988,-0.021194,0.005836,0.008088,0.014994,-0.004434,0.001383,0.001376,0.004118,-0.008037,0.002342,-0.009278,0.005389
ESP_LIA:I19987,0.125205,0.156392,0.06675,0.000323, 0.050471,0,-0.002115,0.009461,0.031497,0.04319,-0.00682,0.008992,-0.024083,-0.019955,0.016151,-0.008618,-0.011474,0.009375,-0.004902,-0.01113,0.015348,0.000247,-0.010353,-0.02663,-0.003592
ESP_LIA:I19991,0.126344,0.15436,0.059585,0.011305, 0.055395,-0.001394,-0.000235,0.005538,0.034155,0.042643,0.004709,0.008 692,-0.02334,-0.017616,0.010993,0.017369,0.001956,0.001014,0.000 377,-0.007003,0.010981,0.000495,-0.005176,-0.006145,0.002036
PORT_LIA:R10487_K13_sim,0.1218,0.1482,0.0527,0.005 1,0.0521,-0.0014,-0.0001,0.0031,0.023,0.0315,-0.0022,0.0087,-0.0153,-0.0058,0.0031,0.0031,-0.0002,0.0019,0.0004,-0.0029,0.0036,0.0006,-0.0043,-0.0124,-0.0038
PORT_LIA:R10499_K13_sim,0.1258,0.1549,0.0412,-0.0142,0.0513,-0.0095,-0.0012,0.0038,0.0221,0.0404,-0.0001,0.0044,-0.0138,-0.0052,-0.0056,-0.0029,0.0036,0.0015,0.0059,-0.0005,0.0022,0.0013,-0.0045,-0.007,0.0009
PORT_LIA:R10501_K13_sim,0.1012,0.141,0.0312,-0.006,0.0378,-0.0017,-0.0043,-0.0003,0.026,0.0284,-0.002,0.0037,-0.0117,-0.0111,0.0046,-0.005,-0.002,-0.0019,-0.0036,0.0011,0.001,-0.0046,0.0015,-0.0051,0.003
PORT_LIA:R10502_K13_sim,0.1019,0.1476,0.0302,-0.0123,0.042,-0.0118,-0.003,0.0013,0.0216,0.031,0.0005,0.0054,-0.0106,-0.011,0.0066,0.0009,0.0041,-0.0053,-0.003,-0.0006,-0.0021,-0.0037,-0.0008,-0.0053,-0.0008
PORT_LIA:R10503_K13_sim,0.0449,0.1449,0.0153,-0.0409,0.0337,-0.0147,-0.0119,-0.0004,0.0338,0.0324,-0.0005,0.004,0.0008,-0.0088,0.0056,-0.0051,-0.0004,-0.0062,-0.0157,-0.0039,-0.0056,-0.0088,0.008,-0.0052,0.0005
PORT_LIA:R10507_K13_sim,0.1035,0.1428,0.0433,-0.0024,0.0462,-0.0005,-0.0069,0.0003,0.0278,0.0317,-0.0007,0.0084,-0.0125,-0.0141,0.0082,-0.0021,-0.0027,-0.003,-0.0052,-0.0019,0.0022,0.0016,-0.0026,-0.0043,0.0002
PORT_LIA:R10508_K13_sim,0.1092,0.1507,0.0322,-0.0154,0.0446,-0.0096,-0.0007,0.003,0.0271,0.0404,-0.001,0.0046,-0.0121,-0.007,0.0012,-0.0018,-0.0007,-0.0012,-0.0014,-0.0027,0.0013,-0.0021,-0.0002,-0.0034,0.0006

[gixajo]

Target: gixajo_scaled
Distance: 1.2615% / 0.01261537
41.0 Iberia_Northeast_c.6CE_PL
30.0 Iberia_East_IA
18.0 PORT_LIA
5.6 Iberia_Southeast_c.3-4CE
5.4 Iberia_North_IA

Target: gixajo_dad_scaled
Distance: 1.6664% / 0.01666427
65.8 PORT_LIA
25.6 Iberia_East_IA
8.4 Iberia_Northeast_c.6CE_PL
0.2 Iberia_North_IA

Target: gixajo_mom_scaled
Distance: 1.4068% / 0.01406818
31.8 Iberia_East_IA
26.2 Iberia_Northeast_c.6CE_PL
18.2 Iberia_North_IA
15.2 PORT_LIA
8.6 ESP_LIA

[gixajo]

Y una megareferencia con todas ellas:


Iberia_IA:average_n29,0.1145799,0.1457931,0.046432 4,-0.0008193,0.049461,-0.0034757,-0.0017064,0.0044625,0.0255509,0.0355355,-0.0032138,0.0078993,-0.0162136,-0.0122188,0.0067561,0.0035923,0.0036734,0.0001613,-0.0011304,-0.000406,0.004926,-0.0008014,-0.0030281,-0.0076593,-0.0016599

Target: Iberia_IA
Distance: 2.0599% / 0.02059858
54.8 Anatolia_Barcin_N
27.8 Yamnaya_RUS_Samara
14.4 WHG
3.0 MAR_Taforalt

Que me parece fantástica porque tiene buena distancias para todos:

Distance to: Iberia_IA
0.01142449 Spanish_Cantabria
0.01223950 Spanish_Castello
0.01233441 Spanish_La_Rioja
0.01302991 Spanish_Cataluna
0.01340961 Spanish_Pirineu
0.01453353 Spanish_Valencia
0.01648757 Spanish_Castilla_La_Mancha
0.01656238 Spanish_Lleida
0.01694431 Spanish_Camp_de_Tarragona
0.01696206 Spanish_Aragon
0.01715109 Spanish_Catalunya_Central
0.01724408 Spanish_Peri-Barcelona
0.01804772 Spanish_Burgos
0.01828591 Spanish_Girona
0.01835390 Spanish_Terres_de_l'Ebre
0.01835716 Spanish_Alacant
0.01872232 Spanish_Baleares
0.01888734 Spanish_Murcia
0.01933260 Spanish_Galicia
0.01956729 Spanish_Biscay
0.01957298 Spanish_Barcelones
0.02004713 Spanish_Penedes
0.02012902 Spanish_Andalucia
0.02049830 Spanish_Mallorca
0.02050466 Spanish_Aragon_North
0.02058432 French_Bigorre
0.02073882 Spanish_Menorca
0.02081164 Spanish_Eivissa
0.02130285 French_South
0.02200507 Portuguese
0.02215098 Spanish_Navarra
0.02329040 Spanish_Castilla_Y_Leon
0.02438829 Spanish_Extremadura
0.02457469 Basque_Navarre_Center
0.02458131 French_Bearn
0.02510318 French_Chalosse
0.02653588 Spanish_Soria
0.02950780 French_Auvergne
0.03024113 Basque_Gipuzkoa
0.03052871 Basque_Roncal
0.03195099 Basque_Lower_Navarre
0.03205598 Basque_Araba
0.03221398 Basque_Navarre_North
0.03224870 Spanish_Pais_Vasco
0.03232132 Spanish_Asturias
0.03254985 French_Occitanie
0.03272552 Basque_Gipuzkoa_Southwest
0.03299454 Basque_Biscay
0.03321073 Basque_Soule
0.03330629 Basque_French

[Damião de Góis]

I have good distances, but not so good model with them:


Target: Gil_Vicente
Distance: 2.1054% / 0.02105437
39.2 PORT_LIA
35.4 Iberia_Northeast_c.6CE_PL
25.4 Iberia_East_IA



Distance to: Gil_Vicente
0.02683064 PORT_LIA:R10501_K13_sim
0.02759155 PORT_LIA:R10507_K13_sim
0.03230085 PORT_LIA:R10502_K13_sim
0.03693315 PORT_LIA:R10508_K13_sim
0.04226039 PORT_LIA:R10487_K13_sim
0.04982648 PORT_LIA:R10499_K13_sim
0.05134896 Iberia_Northeast_c.6CE_PL:I12034
0.05158684 Iberia_Southeast_c.3-4CE:I3982
0.05460426 Iberia_North_IA:I3758
0.05710585 Iberia_East_IA:I3320
0.05752075 Iberia_Northeast_c.6CE_PL:I12031
0.05834640 ESP_IA:I3320
0.05874794 Iberia_North_IA:I3759
0.05893540 Iberia_East_IA:I12879
0.05965622 ESP_LIA:I19991
0.06120029 Iberia_East_IA:I3322
0.06205045 Iberia_Northeast_c.6CE_PL:I12162
0.06282189 ESP_LIA:I19987
0.06318199 Iberia_East_IA:I3323
0.06715341 Iberia_East_IA:I3324
0.07118892 Iberia_Northeast_c.6CE_PL:I12032
0.07122640 Iberia_Northeast_c.6CE_PL:I12163
0.07178943 ESP_EIA_Tartessian:I12171
0.07190319 Iberia_Southeast_c.3-4CE:I3983
0.07302290 Iberia_Southeast_c.3-4CE:I4054

[gixajo]

Y una megareferencia con todas ellas:


Iberia_IA:average_n29,0.1145799,0.1457931,0.046432 4,-0.0008193,0.049461,-0.0034757,-0.0017064,0.0044625,0.0255509,0.0355355,-0.0032138,0.0078993,-0.0162136,-0.0122188,0.0067561,0.0035923,0.0036734,0.0001613,-0.0011304,-0.000406,0.004926,-0.0008014,-0.0030281,-0.0076593,-0.0016599

Target: Iberia_IA
Distance: 2.0599% / 0.02059858
54.8 Anatolia_Barcin_N
27.8 Yamnaya_RUS_Samara
14.4 WHG
3.0 MAR_Taforalt

Que me parece fantástica porque tiene buena distancias para todos:

Distance to: Iberia_IA
0.01142449 Spanish_Cantabria
0.01223950 Spanish_Castello
0.01233441 Spanish_La_Rioja
0.01302991 Spanish_Cataluna
0.01340961 Spanish_Pirineu
0.01453353 Spanish_Valencia
0.01648757 Spanish_Castilla_La_Mancha
0.01656238 Spanish_Lleida
0.01694431 Spanish_Camp_de_Tarragona
0.01696206 Spanish_Aragon
0.01715109 Spanish_Catalunya_Central
0.01724408 Spanish_Peri-Barcelona
0.01804772 Spanish_Burgos
0.01828591 Spanish_Girona
0.01835390 Spanish_Terres_de_l'Ebre
0.01835716 Spanish_Alacant
0.01872232 Spanish_Baleares
0.01888734 Spanish_Murcia
0.01933260 Spanish_Galicia
0.01956729 Spanish_Biscay
0.01957298 Spanish_Barcelones
0.02004713 Spanish_Penedes
0.02012902 Spanish_Andalucia
0.02049830 Spanish_Mallorca
0.02050466 Spanish_Aragon_North
0.02058432 French_Bigorre
0.02073882 Spanish_Menorca
0.02081164 Spanish_Eivissa
0.02130285 French_South
0.02200507 Portuguese
0.02215098 Spanish_Navarra
0.02329040 Spanish_Castilla_Y_Leon
0.02438829 Spanish_Extremadura
0.02457469 Basque_Navarre_Center
0.02458131 French_Bearn
0.02510318 French_Chalosse
0.02653588 Spanish_Soria
0.02950780 French_Auvergne
0.03024113 Basque_Gipuzkoa
0.03052871 Basque_Roncal
0.03195099 Basque_Lower_Navarre
0.03205598 Basque_Araba
0.03221398 Basque_Navarre_North
0.03224870 Spanish_Pais_Vasco
0.03232132 Spanish_Asturias
0.03254985 French_Occitanie
0.03272552 Basque_Gipuzkoa_Southwest
0.03299454 Basque_Biscay
0.03321073 Basque_Soule
0.03330629 Basque_French

[gixajo]

I have good distances, but not so good model with them:




We should wait till have the real coordinates of Portuguese samples, but it´s an notable improvement compared with previously existent Iberian IA references.

[Ruderico]

"All iron age iberians were basque like - Olalde et al"

Yeah right.

These aren't Iron Age at all, they postdate Romans by at ~500 years, the IA label is exclusively used for pre-Roman samples. Roman samples from Urbino are closer in time to the Roman conquest and they already show a completely East Med profile because of colonisation. You could likewise say North African and East Med ancestry was already present in "Portugal" in the "Iron Age".
That's like getting a genetic sample from a modern Brazilian and saying the indigenous people pre-1500 already had European ancestry.

PS: We have two samples from ~800BC from nearby (Arrifana, Coimbra). And yes, they are Basque-like. One appears to have steppe similar to modern individuals, the other one only 2/3s of that. That said the samples are of poor quality.


I suggest you look into qpAdm models made for modern and IA Iberians in "Large-scale migration into Britain during the Middle to Late Bronze Age"
https://reich.hms.harvard.edu/sites/reich.hms.harvard.edu/files/inline-files/Patterson_BritainMigration_Nature_MainManuscript_2 021_3.pdf

The bulk of ancient IA Iberians has similar levels steppe ancestry in 3-way models to Basques, but usually less than the average non-Basque Spanish. The exception are IA samples from Cataluña, particularly Girona which is close to the French border, plenty of which have similar or suprior levels to modern Spanish. Obviously the vector for steppe ancestry in Iberia is through the Pyrenees, it's not surprising pre-Romans from that area are showing higher levels than those further away.


Until there is a significant number of pre-Roman samples from further west that unequivocally show high levels of steppe ancestry and north African ancestry no one can contradict Olalde's statement. For the time being it does seem your high steppe ancestry is not because of indigenous western Iberians, but from colonists who made their way here after the Roman conquest. Likewise for the non-West Euro things we all carry.
https://i.postimg.cc/tg31S1qD/sadsadsad.png

[gixajo]

These aren't Iron Age at all, they post date Romans by at ~500 years, the IA label is exclusively used for pre-Roman samples. Roman samples from Urbino are closer in time to the Roman conquest and they already show a completely East Med profile because of colonisation. You could likewise say North African and East Med ancestry was already present in "Portugal" in the "Iron Age".
That's like getting a genetic sample from a modern Brazilian and saying the indigenous people pre-1500 already had European ancestry.

PS: We have two samples from ~800BC from nearby (Arrifana, Coimbra). And yes, they are Basque-like. One appears to have steppe similar to modern individuals, the other one only 2/3s of that. That said the samples are of poor quality.


I suggest you look into qpAdm models made for modern and IA Iberians in "Large-scale migration into Britain during the Middle to Late Bronze Age"
https://reich.hms.harvard.edu/sites/reich.hms.harvard.edu/files/inline-files/Patterson_BritainMigration_Nature_MainManuscript_2 021_3.pdf

The bulk of ancient IA Iberians has similar levels steppe ancestry in 3-way models to Basques, but usually less than the average non-Basque Spanish. The exception are IA samples from Cataluña, particularly Girona which close to the French border, plenty of which have similar or suprior levels to modern Spanish. Obviously the vector for steppe ancestry in Iberia is through the Pyrenees, it's not surprising pre-Romans from that area are showing higher levels than those further away.


Until there is a significant number of pre-Roman samples from further west that unequivocally show high levels of steppe ancestry no one can contradict Olalde's statement. For the time being it does seem your high steppe ancestry is not because of indigenous western Iberians, but from colonists who made their way here after the Roman conquest.

You are right about we are wrong labelling these samples as Iron Age, it was just a simplification to indicate they are from a period before the muslim invasion started, and to put them together with proper IA samples in a model.

We can call it "Late Ancient Western Iberian" or "Western Iberia early MiddleAge" if you prefer it.

Indepently of labelling, what do those provisional samples results suggest to you? Influence of Atlantic trade, ancient cultural relationship with the Iberian Atlantic coast and the North African Atlantic coast? Influence of Phoenician settlements? Results of varied people typical of Romanized areas? All together...none of this?

[Ajeje Brazorf]

All iron age iberians

Earliest Portuguese sample is dated to around 337 AD. One problem with this paper is that they talk about the Iron Age and when the vast majority of samples are from the Roman period.

Eurogenes K13


Portugal_Conimbriga:R10487___AD_337___Coverage_66. 13%,38.73,16.47,28.87,2.20,9.76,0.72,1.13,0,0.20,0 ,0.20,1.69,0.03
Portugal_Miroico:R10499___AD_331___Coverage_81.68% ,35,10.38,32.24,1.54,18.69,1.46,0,0.69,0,0,0,0,0
Portugal_Miroico:R10501___AD_426___Coverage_64.40% ,34.31,10.92,27.09,3.01,15.41,2.89,1.91,1.05,0.54, 0.23,0.06,0.76,1.82
Portugal_Miroico:R10502___AD_426___Coverage_71.97% ,34.91,10.53,26.33,2.91,15.51,5.11,0.03,0.19,0,0.2 3,1.41,1.40,1.45
Portugal_Miroico:R10503___AD_518___Coverage_88.61% ,26.55,5.38,27.92,0,17.32,10.84,0.01,0,0.76,0.74,0 .46,5.27,4.75
Portugal_Miroico:R10507___AD_426___Coverage_50.92% ,38.63,11.65,31.01,0.01,9.03,4.08,0.01,0.65,0,1.61 ,0,1.86,1.49
Portugal_Miroico:R10508___AD_337___Coverage_66.89% ,34.88,7.41,31.31,2.22,15.35,5.34,0,0.10,0,0.09,0. 98,0.88,1.44


<tbody>
SAMPLE
DATE
COVERAGE
LATITUDE
LONGITUDE
LOCALITY
COUNTRY


R10499
331
81,68%
38,7261
-9,3653
Miroico
Portugal


R10508
337
66,89%
38,7261
-9,3653
Miroico
Portugal


R10487
337
66,13%
40,099444
-8,490556
Conimbriga
Portugal


R10488
337
57,83%
40,099444
-8,490556
Conimbriga
Portugal


R10500
426
53,65%
38,7261
-9,3653
Miroico
Portugal


R10501
426
64,40%
38,7261
-9,3653
Miroico
Portugal


R10502
426
71,97%
38,7261
-9,3653
Miroico
Portugal


R10506
426
77,69%
38,7261
-9,3653
Miroico
Portugal


R10507
426
50,92%
38,7261
-9,3653
Miroico
Portugal


R10503
518
88,61%
38,7261
-9,3653
Miroico
Portugal


R10494
781
86,54%
38,8803
-7,1637
MontedaNora
Portugal


R10496
829
85,03%
38,8803
-7,1637
MontedaNora
Portugal


R10491
832
82,74%
38,8803
-7,1637
MontedaNora
Portugal

</tbody>

[Ruderico]

You are right about we are wrong labelling these samples as Iron Age, it was just a simplification to indicate they are from a period before the muslim invasion started, and to put them together with proper IA samples in a model.

We can call it "Late Ancient Western Iberian" or "Western Iberia early MiddleAge" if you prefer it.

Indepently of labelling, what do those provisional samples results suggest to you? Influence of Atlantic trade, ancient cultural relationship with the Iberian Atlantic coast and the North African Atlantic coast? Influence of Phoenician settlements? Results of varied people typical of Romanized areas? All together...none of this?

To me this screams Roman colonisation, but it's not impossible there could have been settlement from individuals whose origins lied elsewhere, I'm just sceptical it made much of an impact.

Atlantic Europe is unlikely to have been significant because Iberia was rather peripheral to the whole network and a lot of its material culture shows clear local influences that aren't seen much outside Iberia - it seems that indigenous N/W Iberians imported foreign wares and made their own versions of it. Besides Ferrol is over 1000km away from Brest by boat along the coastline, and Bronze Age boats carried at most 20 people. I just don't see this as being able to make a significant genetic impact even if population densities in Iberia were relatively low. You'd also expect to see this genetic effect elsewhere in northern Iberia, particularly later on as they influenced other peoples, but so far we don't, it's just "Basques" with different levels of Steppe ancestry - some had more, most had less.

NW Africa is closer, more recent, and was much more sophisticated than the MBA Atlantic peoples of Europe, so it's not impossible Tartessos' ties with Phoenician/Carthaginian cities/traders might have led to some settlement, but until we have the smoking gun it's best not to make bold statements. As you know the only Tartessian sample we have might have, at best, a small amount of NW African ancestry. The archaeological info is quite interesting

The archaeological site of La Angorrilla, which was excavated during the beginning of the 21st century, is located on the southwest of the municipality of Alcalá del Río (Sevilla, Spain). Its entire necropolis can be dated from the end of the 8th century to the middle of the 6th century BCE (93). This "Tartessian" (or "orientalizante") necropolis shows a variety of burial types in simple pits, mainly inhumations but a few primary and secondary incinerations are also present. The tombs present rectangular shape and they are oriented in west-east direction, a common feature amongst the necropolis of the Phoenician archaic period in the Iberian Peninsula (93).




Earliest Portuguese sample is dated to around 337 AD. One problem with this paper is that they talk about the Iron Age and when the vast majority of samples are from the Roman period.]
Right, and all this area of Alentejo, Lisbon and Conimbriga were under Roman yoke since ~140BC. They weren't particularly resistant to it either, only further north and east where local groups lived in more tribal environments - those revolted and were relatively autonomous until Julius Caesar led campaigns there when he was governor of Hispania Ulterior.

[gixajo]

To me this screams Roman colonisation, but it's not impossible there could have been settlement from individuals whose origins lied elsewhere, I'm just sceptical it made much of an impact.

Atlantic Europe is unlikely to have been significant because Iberia was rather peripheral to the whole network and a lot of its material culture shows clear local influences that aren't seen much outside Iberia - it seems that indigenous N/W Iberians imported foreign wares and made their own versions of it. Besides Ferrol is over 1000km away from Brest by boat along the coastline, and Bronze Age boats carried at most 20 people. I just don't see this as being able to make a significant genetic impact even if population densities in Iberia were relatively low. You'd also expect to see this genetic effect elsewhere in northern Iberia, particularly later on as they influenced other peoples, but so far we don't, it's just "Basques" with different levels of Steppe ancestry - some had more, most had less.

NW Africa is closer, more recent, and was much more sophisticated than the MBA Atlantic peoples of Europe, so it's not impossible Tartessos' ties with Phoenician/Carthaginian cities/traders might have led to some settlement, but until we have the smoking gun it's best not to make bold statements. As you know the only Tartessian sample we have might have, at best, a small amount of NW African ancestry. The archaeological info is quite interesting





Right, and all this area of Alentejo, Lisbon and Conimbriga were under Roman yoke since ~140BC. They weren't particularly resistant to it either, only further north and east where local groups lived in more tribal environments - those revolted and were relatively autonomous until Julius Caesar led campaigns there when he was governor of Hispania Ulterior.

So don´t you think that megalithism phenomenom could be a clue of an ancient BA link between Atlantic European coast, even but in a lesser degree with W and NW Morocco coast? That would be way before the time of these samples, of course.

In any case, it is remarkable that they have NA in high quantities, something that samples from the same period of highly and early Romanized areas of the NE of the peninsula did not show.

[gixajo]

Cambio las etiquetas IA/LIA por una que pueda englobar a todos a la vez.


Iberia_Ancient(200BC-600AC):I12410,0.132035,0.146236,0.060339,-0.004845,0.066782,-0.005857,0,0.001385,0.034155,0.050115,-0.001137,0.012589,-0.025867,-0.012248,0.008822,0.012596,0.022687,-0.001014,-0.00729,0.008879,0.006239,0.007172,-0.009983,-0.013737,-0.001916
Iberia_Ancient(200BC-600AC):I12879,0.126344,0.151314,0.061848,0.009044, 0.061242,0.006414,-0.010105,0.004154,0.014726,0.031162,-0.001786,0.009741,-0.021853,-0.015138,0.001493,-0.014187,-0.011474,-0.003041,0.013324,0.010005,0.009608,-0.004575,-0.01405,-0.007109,-0.000599
Iberia_Ancient(200BC-600AC):I3320,0.118376,0.152329,0.051288,0.004522,0 .064935,-0.003347,-0.014101,0.005538,0.030679,0.049022,-0.002273,0.014237,-0.017245,-0.017203,0.005293,0.001989,0.012386,-0.005068,-0.001006,-0.004377,0.006863,0.000124,0.001972,-0.012893,-0.000359
Iberia_Ancient(200BC-600AC):I3321,0.126344,0.157407,0.065619,0.008075,0 .062781,-0.013387,0.002115,0.007846,0.039064,0.045923,-0.000487,0.008692,-0.032111,-0.025873,0.011129,0.008221,0.007562,0.010642,0.007 919,-0.00988,0.013601,-0.008779,-0.002465,-0.023859,-0.007544
Iberia_Ancient(200BC-600AC):I3322,0.124067,0.152329,0.05506,0.006137,0. 06155,-0.006972,0.003055,0.002769,0.037837,0.055946,-0.003735,0.013188,-0.020367,-0.009083,0.017508,-0.013126,-0.023078,0.005068,0.004902,-0.006753,0.006863,0.000495,-0.005546,-0.018677,0.001437
Iberia_Ancient(200BC-600AC):I3323,0.121791,0.15436,0.05242,-0.002261,0.059703,-0.008646,-0.00564,0.003231,0.032928,0.05212,-0.006171,0.011839,-0.031962,-0.003578,0.004343,0.001591,0.011474,0.002154,-0.003142,-0.002376,0.002246,0.001607,-0.016392,-0.018195,0.002874
Iberia_Ancient(200BC-600AC):I3324,0.122929,0.131003,0.05506,0.015181,0. 059703,0.007809,-0.002585,0.006692,0.019225,0.036083,-0.005846,0.004946,-0.026016,-0.00234,0.00285,0.022938,0.017602,-0.001267,0.01169,-0.008004,-0.00287,0.005564,-0.004067,-0.002048,-0.005269
Iberia_Ancient(200BC-600AC):I3327,0.124067,0.146236,0.050157,-0.018411,0.042162,-0.001394,-0.00188,0.004154,0.031292,0.054671,-0.016239,0.013638,-0.011447,-0.03069,0.011401,0.025059,0.01708,0.005448,0.00402 2,0.004252,0.001996,-0.002349,-0.008381,-0.002651,0.002395
Iberia_Ancient(200BC-600AC):I3758,0.125205,0.146236,0.06675,0.013889,0. 053241,0.003347,-0.004465,0.002308,0.030474,0.034989,0.001624,0.008 393,-0.017691,-0.00812,0.013843,-0.007292,-0.02047,0.00114,-0.00352,-0.002751,0.003494,0.000618,-0.008134,-0.016508,-0.002994
Iberia_Ancient(200BC-600AC):I3759,0.125205,0.140143,0.063356,0.009044,0 .062781,0.003347,-0.00235,0.006692,0.02168,0.034989,-0.006008,0.009292,-0.016204,-0.008945,0.0076,0.007425,0.003912,0.000633,0.00326 8,0.001251,0.012977,0.004081,-0.006039,-0.007109,-0.009221
Iberia_Ancient(200BC-600AC):I12031,0.126344,0.133034,0.039598,0.017119, 0.03416,0.007809,0.009635,0.009461,0.002659,0.0047 38,-0.006658,-0.002548,-0.009068,-0.003165,0.002307,-0.003315,0.004303,0.003547,-0.008296,0.006128,-0.000499,0.001237,-0.002711,0.00482,-0.008263
Iberia_Ancient(200BC-600AC):I12032,0.142279,0.145221,0.04978,0.030039,0 .03139,0.010877,-0.00047,0.013153,0.011862,0.011116,-0.006333,0.013038,-0.01888,-0.00234,0.004886,0.008221,0.004563,0.012162,0.0022 63,0.013006,0.010232,-0.000618,-0.001356,-0.002651,0.000838
Iberia_Ancient(200BC-600AC):I12034,0.130897,0.139128,0.0445,0.01615,0.0 52317,-0.001394,0.00047,0,0.021475,0.036447,-0.000974,0.017085,-0.019623,-0.009358,0.017644,0.009281,0.000522,-0.00152,-0.009804,-0.005503,0.006738,0.005688,-0.00493,-0.013616,-0.001197
Iberia_Ancient(200BC-600AC):I12162,0.114961,0.126941,0.046763,0.030685, 0.043085,0.011713,0.006815,0.000923,0.002863,0.006 196,-0.010393,0.007343,-0.000297,-0.011147,0.005157,-0.005701,0.001173,0.003801,0.005656,0.002501,0.019 965,0.000371,-0.000616,0.014821,-0.002634
Iberia_Ancient(200BC-600AC):I12163,0.122929,0.139128,0.05242,0.022287,0 .028313,0.005857,0.00799,-0.001615,0.001841,0.000911,-0.005196,-0.001349,-0.015163,-0.004817,0.001221,0.01843,0.020079,-0.000253,0.00352,0.008004,-0.003494,0.003091,-0.003821,0.009399,-0.003233
Iberia_Ancient(200BC-600AC):I3982,0.084229,0.147252,0.030924,-0.027132,0.044931,-0.021475,-0.00047,0.004154,0.030883,0.041914,-0.006333,0.004196,-0.00669,-0.010322,0.00665,-0.005436,-0.013951,-0.006588,-0.011816,-5e-04,0.001622,-0.006306,0.005423,-0.006145,-0.003712
Iberia_Ancient(200BC-600AC):I3983,0.075123,0.148267,0.011314,-0.039729,0.035391,-0.021753,-0.001175,0.003692,0.03027,0.032985,-0.001786,0.003747,-0.009366,-0.017616,0.008143,0.008618,0.011474,-0.00038,-0.014078,0.003377,0.002745,-0.005812,0.008504,0.000843,-0.003832
Iberia_Ancient(200BC-600AC):I4054,0.078538,0.142174,0.008674,-0.032946,0.032929,-0.014781,-0.003995,0.014769,0.028838,0.034807,-0.005846,0.002997,-0.002676,-0.017753,0.004479,0.013922,0.024121,-0.008995,-0.007793,-0.006503,-0.000125,0.000618,0.006409,0.001807,-0.003113
Iberia_Ancient(200BC-600AC):I12171,0.121791,0.14319,0.05242,-0.009367,0.062165,-0.003068,0.002115,0.010153,0.042132,0.048293,0.004 06,0.009292,-0.027056,-0.022845,0.004479,0.011005,0.009388,-0.003547,0.003142,0.005628,0.011605,-0.002473,-0.005546,-0.023859,-0.006227
Iberia_Ancient(200BC-600AC):I3320,0.119514,0.145221,0.055814,0.00323,0. 061242,-0.005299,-0.003995,0.004154,0.029042,0.04647,-0.003573,0.011839,-0.017988,-0.021194,0.005836,0.008088,0.014994,-0.004434,0.001383,0.001376,0.004118,-0.008037,0.002342,-0.009278,0.005389
Iberia_Ancient(200BC-600AC):I19987,0.125205,0.156392,0.06675,0.000323,0 .050471,0,-0.002115,0.009461,0.031497,0.04319,-0.00682,0.008992,-0.024083,-0.019955,0.016151,-0.008618,-0.011474,0.009375,-0.004902,-0.01113,0.015348,0.000247,-0.010353,-0.02663,-0.003592
Iberia_Ancient(200BC-600AC):I19991,0.126344,0.15436,0.059585,0.011305,0 .055395,-0.001394,-0.000235,0.005538,0.034155,0.042643,0.004709,0.008 692,-0.02334,-0.017616,0.010993,0.017369,0.001956,0.001014,0.000 377,-0.007003,0.010981,0.000495,-0.005176,-0.006145,0.002036
Iberia_Ancient(200BC-600AC):R10487,0.1218,0.1482,0.0527,0.0051,0.0521,-0.0014,-0.0001,0.0031,0.023,0.0315,-0.0022,0.0087,-0.0153,-0.0058,0.0031,0.0031,-0.0002,0.0019,0.0004,-0.0029,0.0036,0.0006,-0.0043,-0.0124,-0.0038
Iberia_Ancient(200BC-600AC):R10499,0.1258,0.1549,0.0412,-0.0142,0.0513,-0.0095,-0.0012,0.0038,0.0221,0.0404,-0.0001,0.0044,-0.0138,-0.0052,-0.0056,-0.0029,0.0036,0.0015,0.0059,-0.0005,0.0022,0.0013,-0.0045,-0.007,0.0009
Iberia_Ancient(200BC-600AC):R10501,0.1012,0.141,0.0312,-0.006,0.0378,-0.0017,-0.0043,-0.0003,0.026,0.0284,-0.002,0.0037,-0.0117,-0.0111,0.0046,-0.005,-0.002,-0.0019,-0.0036,0.0011,0.001,-0.0046,0.0015,-0.0051,0.003
Iberia_Ancient(200BC-600AC):R10502,0.1019,0.1476,0.0302,-0.0123,0.042,-0.0118,-0.003,0.0013,0.0216,0.031,0.0005,0.0054,-0.0106,-0.011,0.0066,0.0009,0.0041,-0.0053,-0.003,-0.0006,-0.0021,-0.0037,-0.0008,-0.0053,-0.0008
Iberia_Ancient(200BC-600AC):R10503,0.0449,0.1449,0.0153,-0.0409,0.0337,-0.0147,-0.0119,-0.0004,0.0338,0.0324,-0.0005,0.004,0.0008,-0.0088,0.0056,-0.0051,-0.0004,-0.0062,-0.0157,-0.0039,-0.0056,-0.0088,0.008,-0.0052,0.0005
Iberia_Ancient(200BC-600AC):R10507,0.1035,0.1428,0.0433,-0.0024,0.0462,-0.0005,-0.0069,0.0003,0.0278,0.0317,-0.0007,0.0084,-0.0125,-0.0141,0.0082,-0.0021,-0.0027,-0.003,-0.0052,-0.0019,0.0022,0.0016,-0.0026,-0.0043,0.0002
Iberia_Ancient(200BC-600AC):R10508,0.1092,0.1507,0.0322,-0.0154,0.0446,-0.0096,-0.0007,0.003,0.0271,0.0404,-0.001,0.0046,-0.0121,-0.007,0.0012,-0.0018,-0.0007,-0.0012,-0.0014,-0.0027,0.0013,-0.0021,-0.0002,-0.0034,0.0006

[gixajo]

Y los resultados de las muestras con un modelo sin usar vascos expresamente creado para ellas:

https://i.postimg.cc/dtBGLTpX/portugalsamplesancient.png (https://postimages.org/)


Sardinian,0.1185885,0.1649084,0.0251364,-0.0485534,0.0558422,-0.0222034,-0.0032211,-0.0016461,0.0374606,0.0691574,0.0005608,0.0129026,-0.0230266,-0.0104648,-0.0118221,-0.0066295,0.0063593,-0.0003125,0.0017866,-0.0113138,-0.0021778,0.0000396,-0.0069282,-0.0163074,0.0012614
Moroccan,-0.0742576,0.1315181,-0.0074521,-0.0664334,0.021187,-0.0299709,-0.0253678,0.0089509,0.0534009,0.0273663,0.0065344,-0.0066258,0.0207706,-0.0149427,0.0150726,-0.0115203,-0.0012799,-0.0179059,-0.0381608,0.0076991,-0.0125307,-0.0330745,0.021301,-0.0036183,0.0052301
Balto-Slavic,0.1320584,0.1185498,0.078892,0.072796,0.039 0876,0.0267014,0.0106904,0.0134714,-0.0013462,-0.027468,-0.0017786,-0.0107279,0.0191006,0.0246848,-0.01021,-0.0003124,0.0016171,-0.0008179,0.0022352,0.0017432,-0.0024608,-0.0041862,0.0063644,-0.0049367,0.0012466
Levant,0.0855728,0.1475635,-0.0538932,-0.0889668,-0.0129289,-0.0300094,-0.0028938,-0.0072099,0.0103702,0.0090846,0.0073562,-0.0065739,0.0143123,0.0006055,-0.0068675,0.0064122,-0.0006323,0.003066,0.0014458,-0.0006128,-0.0007579,0.004239,-0.0006677,0.0008533,0.0011779
Celto-Germanic,0.1306444,0.1319206,0.0644491,0.051744,0. 0390476,0.0191988,0.0024347,0.0044322,0.003778,0.0 002668,-0.0059667,0.0050381,-0.0107943,-0.0111781,0.0206914,0.0067551,-0.0062536,0.0016525,0.0037594,0.0040004,0.0047037, 0.0027444,0.0001576,0.0097476,-0.0003546
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

[gixajo]

Y los resultados de las muestras con un modelo sin usar vascos expresamente creado para ellas:

https://i.postimg.cc/dtBGLTpX/portugalsamplesancient.png (https://postimages.org/)


Sardinian,0.1185885,0.1649084,0.0251364,-0.0485534,0.0558422,-0.0222034,-0.0032211,-0.0016461,0.0374606,0.0691574,0.0005608,0.0129026,-0.0230266,-0.0104648,-0.0118221,-0.0066295,0.0063593,-0.0003125,0.0017866,-0.0113138,-0.0021778,0.0000396,-0.0069282,-0.0163074,0.0012614
Moroccan,-0.0742576,0.1315181,-0.0074521,-0.0664334,0.021187,-0.0299709,-0.0253678,0.0089509,0.0534009,0.0273663,0.0065344,-0.0066258,0.0207706,-0.0149427,0.0150726,-0.0115203,-0.0012799,-0.0179059,-0.0381608,0.0076991,-0.0125307,-0.0330745,0.021301,-0.0036183,0.0052301
Balto-Slavic,0.1320584,0.1185498,0.078892,0.072796,0.039 0876,0.0267014,0.0106904,0.0134714,-0.0013462,-0.027468,-0.0017786,-0.0107279,0.0191006,0.0246848,-0.01021,-0.0003124,0.0016171,-0.0008179,0.0022352,0.0017432,-0.0024608,-0.0041862,0.0063644,-0.0049367,0.0012466
Levant,0.0855728,0.1475635,-0.0538932,-0.0889668,-0.0129289,-0.0300094,-0.0028938,-0.0072099,0.0103702,0.0090846,0.0073562,-0.0065739,0.0143123,0.0006055,-0.0068675,0.0064122,-0.0006323,0.003066,0.0014458,-0.0006128,-0.0007579,0.004239,-0.0006677,0.0008533,0.0011779
Celto-Germanic,0.1306444,0.1319206,0.0644491,0.051744,0. 0390476,0.0191988,0.0024347,0.0044322,0.003778,0.0 002668,-0.0059667,0.0050381,-0.0107943,-0.0111781,0.0206914,0.0067551,-0.0062536,0.0016525,0.0037594,0.0040004,0.0047037, 0.0027444,0.0001576,0.0097476,-0.0003546
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

[Ruderico]

So don´t you think that megalithism phenomenom could be a clue of an ancient BA link between Atlantic European coast, even but in a lesser degree with W and NW Morocco coast? That would be way before the time of these samples, of course.

In any case, it is remarkable that they have NA in high quantities, something that samples from the same period of highly and early Romanized areas of the NE of the peninsula did not show.

It depends on what consequences one draws from those links. Megalithism was mostly carried out by neolithic farmers* rather than Bronze age peoples with steppe ancestry, so these early links might not have translated into anything game changing from a population-wide perspective. In Britain the farmers were virtually wiped out, and with Bell Beaker migrations the megalithic phenomena died out around here. This isn't to say that were were no contacts, or that no one ever moved here, but I simply do not believe that translated into a clear increase in steppe ancestry in W Iberia. I used to consider that hypothesis in the past (Atlantic Bronze Age migration from Britain/NW France into Iberia), but the more pre-historic samples we have, the less I believe it had a genetic impact. If new significant samples show different info, I'll review its consequences and update my beliefs accordingly.
In the end I follow the mantra "the past explains the present, it's not the present that explains the past".

As for north Africa I'm just not familiar with the connections besides the odd ivory item, or the occasional migrant. I do also find it (pleasantly) surprising to see it so widespread in Lisbon by the late Roman period, maybe the migration/forced movement had to do with mining operations in Hispania? I really want to see Late Roman samples from Braga or Lugo since, in theory, that's where the core of Galicia-Portugal was in the early Reconquista. Soil acidity might make that a mirage for now.


* And speaking of neolithic farmers, here's an interesting paper on the subject, and why we benefit so much from Iberia_N references instead of LBK like most Europeans do. As usual EEF stuff gets ignored because most people in these forums have a hard on for steppe and indo-europeans.
https://www.sciencedirect.com/science/article/pii/S0960982222007059

[Defcon2]

It depends on what consequences one draws from those links. Megalithism was mostly carried out by neolithic farmers* rather than Bronze age peoples with steppe ancestry, so these early links might not have translated into anything game changing from a population-wide perspective. In Britain the farmers were virtually wiped out, and with Bell Beaker migrations the megalithic phenomena died out around here. This isn't to say that were were no contacts, or that no one ever moved here, but I simply do not believe that translated into a clear increase in steppe ancestry in W Iberia. I used to consider that hypothesis in the past (Atlantic Bronze Age migration from Britain/NW France into Iberia), but the more pre-historic samples we have, the less I believe it had a genetic impact. If new significant samples show different info, I'll review its consequences and update my beliefs accordingly.
In the end I follow the mantra "the past explains the present, it's not the present that explains the past".

As for north Africa I'm just not familiar with the connections besides the odd ivory item, or the occasional migrant. I do also find it (pleasantly) surprising to see it so widespread in Lisbon by the late Roman period, maybe the migration/forced movement had to do with mining operations in Hispania? I really want to see Late Roman samples from Braga or Lugo since, in theory, that's where the core of Galicia-Portugal was in the early Reconquista. Soil acidity might make that a mirage for now.


* And speaking of neolithic farmers, here's an interesting paper on the subject, and why we benefit so much from Iberia_N references instead of LBK like most Europeans do. As usual EEF stuff gets ignored because most people in these forums have a hard on for steppe and indo-europeans.
https://www.sciencedirect.com/science/article/pii/S0960982222007059

De qué se compone EEF?

[gixajo]

It depends on what consequences one draws from those links. Megalithism was mostly carried out by neolithic farmers* rather than Bronze age peoples with steppe ancestry, so these early links might not have translated into anything game changing from a population-wide perspective. In Britain the farmers were virtually wiped out, and with Bell Beaker migrations the megalithic phenomena died out around here. This isn't to say that were were no contacts, or that no one ever moved here, but I simply do not believe that translated into a clear increase in steppe ancestry in W Iberia. I used to consider that hypothesis in the past (Atlantic Bronze Age migration from Britain/NW France into Iberia), but the more pre-historic samples we have, the less I believe it had a genetic impact. If new significant samples show different info, I'll review its consequences and update my beliefs accordingly.
In the end I follow the mantra "the past explains the present, it's not the present that explains the past".

As for north Africa I'm just not familiar with the connections besides the odd ivory item, or the occasional migrant. I do also find it (pleasantly) surprising to see it so widespread in Lisbon by the late Roman period, maybe the migration/forced movement had to do with mining operations in Hispania? I really want to see Late Roman samples from Braga or Lugo since, in theory, that's where the core of Galicia-Portugal was in the early Reconquista. Soil acidity might make that a mirage for now.


* And speaking of neolithic farmers, here's an interesting paper on the subject, and why we benefit so much from Iberia_N references instead of LBK like most Europeans do
https://www.sciencedirect.com/science/article/pii/S0960982222007059

I see it , your paper speaks about 2 routes of entry of Neolithic in Europe, with 3 fonal different clusters among which we are included in the same cluster with Sardinians and Frenchs(and...Sweden?).

https://i.imgur.com/nxfaZow.png


Results from each show a convergence on the existence of three clusters: first, the Western Mediterranean, including Iberian, French, and Sardinian individuals; second, the Eastern Mediterranean, featuring Greek, Balkan, and Anatolian individuals as well as Central Europeans; and third, the British and Irish archipelago. These are visible as blocks in the IBD heatmap of Figure 3C and form three apices of variation in the PCA (Figure 4). They also form separate primary branches in a fineSTRUCTURE tree (Figure 5).65 Intermediate samples are also intermediate in geography. For example, in the PCA plot, which visibly mirrors geography (Figure 4), Northern French samples are placed close to Iberians but also stretch toward the British and Irish cluster. Also, the mid-Mediterranean samples from Sardinia, Malta, Sicily and Italy fall between the western and eastern poles.

When I used LBK is not because I like model Iberians with them, was just because I emulated a model for all Europeans that use LBK as Neolithic source instead of Barcin_N. That model was included in an academic paper too, probably just as simplification that econmpassed European Neolithic in one reference more close to modern Europeans than typical Barcin_N.

https://i.imgur.com/P3T3zSj.jpg

The megalithic phenomenon begins at the end of the Neolithic and continues with variations of use and forms until the Bronze Age passing through the Chalcolithic, that's right.

So it is not entirely wrong to associate BA with megalithism, although at that time the new constructions are different, many older structures were reused as burial places, and it is very common, even more common in some areas, to find burials of individuals from the Bronze Age in supposedly Chalcolithic or late Neolithic dolmens.

If I refer specifically to the Bronze Age, was because I assume that at that time longer journeys would be made more often in search of metals, which would make the movement and settlement of people in distant places more possible than in Neolithic or Chalcolitic.

But linking Bronze Age (Atlantic Bronze Age specifically (https://en.wikipedia.org/wiki/Atlantic_Bronze_Age)) and Megalithism probably is wrong, although the geographical extension of both coincided mainly , specially because in this case I wanted to include NW Africa in both, but there I do recognize that I went too far in my proposal.:picard1:

Probably all this is well explained just with Phoenicians, Carthago and Romans, no needing go further back in time.

Edit:I included more things after the first text, sorry.

[Tongio]

Significant north african blood in western iberia before the moorish/islamic ocupation , its clear these new samples help explain why areas with the least morisco populations have relativly high north african DNA,even If we dont know exactly why that came to be (bringing North africans for mining activity can be it) for sure big part of this influx ocurred in the Roman períod.Now when some keep holding into the simpleton idea North african DNA spreaded mainly with the moorish ocupation they can be easily proven incorrect.

[gixajo]

Significant north african blood in western iberia before the moorish/islamic ocupation , its clear these new samples help explain why areas with the least morisco populations have relativly high north african DNA,even If we dont know exactly why that came to be (bringing North africans for mining activity can be it) for sure big part of this influx ocurred in the Roman períod.Now when some keep holding into the simpleton idea North african DNA spreaded mainly with the moorish ocupation they can be easily proven incorrect.

We have said several times that those g25 samples are just proxies with simulated coordinates based in K13, but yes, basing us in them, some of them show similar NA (and others) than some modern western Iberians, and also some of those samples also quite more than modern Western Iberians. One of them is practically 50/50 NA/Iberian, that is too much to consider that individual actually "Iberian" but could show that that component was in the peninsula in good amounts before the Muslim invasion.

What is notable is that in this group, the exception would be an individual without non-European components when in other Iberian samples from difefrent areas was the opposite.

[Ruderico]

I see it , your paper speaks about 2 routes of entry of Neolithic in Europe, with 3 fonal different clusters among which we are included in the same cluster with Sardinians and Frenchs(and...Sweden?).

https://i.imgur.com/nxfaZow.png

Yes, but these are exclusively ancient samples, not modern individuals. That said you can still see this difference in G25, Iberians strongly prefer Western EEFs (especially those from Iberia) than other Europeans do. My ancient models always benefit a lot from using Iberian EEF over Barcin or LBK.

https://ars.els-cdn.com/content/image/1-s2.0-S0960982222007059-gr3.jpg


Edit: You can try splitting these into two different groups, odds are most of us here will massively prefer Iberia_EEF over LBK.

LBK:HUN_LBK_MN,0.123498,0.1807643,0.0126335,-0.0942352,0.0580878,-0.0403695,-0.0029375,-0.003,0.0397798,0.084603,0.008769,0.0125138,-0.02111,0.0004818,-0.042107,-0.0149492,0.01105,-0.0005382,0.012821,-0.0153825,-0.013757,0.0095827,-0.0092128,-0.0026512,-0.002934
LBK:DEU_LBK_HBS,0.1244086,0.182592,0.0124072,-0.0896648,0.0641812,-0.0429073,-0.0036896,-0.0041883,0.0414365,0.0872364,0.0092805,0.0126936,-0.023927,0.0001514,-0.038877,-0.0078295,0.0197988,0.00515,0.0125886,-0.0122746,-0.0098015,0.0061826,-0.0089292,-0.0052416,-0.0037063
LBK:DEU_LBK_KD,0.127482,0.183811,0.023381,-0.086564,0.079707,-0.043228,-0.010575,0.021691,0.052767,0.091118,0.011205,0.018 583,-0.015461,-0.006881,-0.044109,-0.020419,0.002217,0.015836,0.015587,-0.021635,-0.004243,0.022999,-0.025882,0.010363,-0.002994
LBK:DEU_LBK_SCH,0.1142784,0.1787332,0.0100314,-0.0908276,0.0607496,-0.0401042,0.000329,-0.0073844,0.0417638,0.0824072,0.009776,0.0103108,-0.0229828,0.0046242,-0.0385172,-0.0069476,0.018019,0.00451,0.0144304,-0.0110304,-0.0054652,0.0019288,-0.0053244,-0.0122186,-0.0034966
LBK:DEU_LBK_SMH,0.1203421,0.1797025,0.015942,-0.0828642,0.0596754,-0.0407307,-0.0022112,-0.0044264,0.0449487,0.0840605,0.0068277,0.011417,-0.0237046,0.0007444,-0.03699,-0.0066837,0.0194035,0.0016067,0.0141925,-0.0104368,-0.0090976,0.0036702,-0.0058822,-0.0043379,-0.0037395
LBK:DEU_LBK_UW,0.129758,0.178733,0.01961,-0.081719,0.068013,-0.042949,-0.00282,-0.006692,0.037837,0.082553,0.002923,0.019033,-0.022002,0.006193,-0.042616,-0.006762,0.026859,0.006841,0.015209,-0.008254,-0.015972,0.016075,0.000493,-0.005904,-0.007784
LBK:AUT_LBK_N,0.1220754,0.1839379,0.015792,-0.0885424,0.0642426,-0.0428098,-0.0023206,-0.0037789,0.0449952,0.0860381,0.0079368,0.0105094,-0.0204036,0.0025289,-0.0382054,-0.0129606,0.0148475,0.0011245,0.0146436,-0.0096453,-0.006738,0.0098304,-0.0058542,-0.0064919,-0.0058527
Iberia_EEF:Iberia_Southwest_EN,0.129758,0.165531,0 .043369,-0.062662,0.080015,-0.031515,-0.012456,0.007846,0.069129,0.094763,0.003735,0.018 733,-0.031665,-0.006055,-0.016558,-0.013789,-0.004042,0.010262,0.007039,-0.009755,0.001373,0.001237,-0.016638,-0.015183,0.002874
Iberia_EEF:Iberia_Southwest_MLN,0.1225493,0.164854 3,0.0487743,-0.041021,0.085452,-0.0256577,-0.004935,-0.0016923,0.065993,0.093001,0.002057,0.0125387,-0.0256193,-0.0159183,-0.0060623,0.0037567,0.012517,0.0048143,0.000545,-0.003585,0.016596,0.0056057,-0.0175427,-0.0430987,0.000359
Iberia_EEF:Iberia_Southeast_MLN,0.1261811,0.167707 3,0.0457934,-0.042959,0.0838399,-0.0274906,-0.0071173,-0.0006594,0.0686909,0.0943201,0.0008583,0.0181337,-0.0329389,-0.0142144,-0.0076001,-0.0033906,0.0013783,0.002968,0.0018857,-0.0046451,0.0077719,0.0038863,-0.0161279,-0.037768,0.0005473
Iberia_EEF:Iberia_North_MLN,0.1300429,0.1642619,0. 069296,-0.0196222,0.0942868,-0.0192784,-0.0060512,0.0041826,0.0651152,0.0902069,-0.0032476,0.0134692,-0.0308842,-0.0175298,-0.0036982,0.0054198,0.008263,0.0004276,0.0001414,-0.0005314,0.0160184,0.0039721,-0.0140041,-0.0431538,0.0040265
Iberia_EEF:Iberia_Northeast_MLN,0.1258561,0.170463 7,0.0529047,-0.039406,0.0901707,-0.0212354,-0.0049016,0.0039559,0.0634316,0.0944244,-0.0020646,0.0167853,-0.0307091,-0.0175763,-0.005138,0.0010987,0.0051967,0.0032034,-0.0005209,-0.004127,0.0115331,0.0051229,-0.0170083,-0.0366319,0.0007699
Iberia_EEF: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
Iberia_EEF:Iberia_N,0.1239407,0.1755737,0.0341921,-0.0626261,0.0768007,-0.0339317,-0.004439,-0.0011793,0.0618117,0.0996021,0.0021292,0.015586,-0.0343077,-0.0108723,-0.0189858,-0.0058929,0.0074029,0.001844,0.0048463,-0.0070036,0.002468,0.0035996,-0.008148,-0.0235909,9.3e-05
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
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
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
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

[Damião de Góis]

These aren't Iron Age at all, they postdate Romans by at ~500 years, the IA label is exclusively used for pre-Roman samples. Roman samples from Urbino are closer in time to the Roman conquest and they already show a completely East Med profile because of colonisation. You could likewise say North African and East Med ancestry was already present in "Portugal" in the "Iron Age".
That's like getting a genetic sample from a modern Brazilian and saying the indigenous people pre-1500 already had European ancestry.

PS: We have two samples from ~800BC from nearby (Arrifana, Coimbra). And yes, they are Basque-like. One appears to have steppe similar to modern individuals, the other one only 2/3s of that. That said the samples are of poor quality.


I suggest you look into qpAdm models made for modern and IA Iberians in "Large-scale migration into Britain during the Middle to Late Bronze Age"
https://reich.hms.harvard.edu/sites/reich.hms.harvard.edu/files/inline-files/Patterson_BritainMigration_Nature_MainManuscript_2 021_3.pdf

The bulk of ancient IA Iberians has similar levels steppe ancestry in 3-way models to Basques, but usually less than the average non-Basque Spanish. The exception are IA samples from Cataluña, particularly Girona which is close to the French border, plenty of which have similar or suprior levels to modern Spanish. Obviously the vector for steppe ancestry in Iberia is through the Pyrenees, it's not surprising pre-Romans from that area are showing higher levels than those further away.





Earliest Portuguese sample is dated to around 337 AD. One problem with this paper is that they talk about the Iron Age and when the vast majority of samples are from the Roman period.

Eurogenes K13


Portugal_Conimbriga:R10487___AD_337___Coverage_66. 13%,38.73,16.47,28.87,2.20,9.76,0.72,1.13,0,0.20,0 ,0.20,1.69,0.03
Portugal_Miroico:R10499___AD_331___Coverage_81.68% ,35,10.38,32.24,1.54,18.69,1.46,0,0.69,0,0,0,0,0
Portugal_Miroico:R10501___AD_426___Coverage_64.40% ,34.31,10.92,27.09,3.01,15.41,2.89,1.91,1.05,0.54, 0.23,0.06,0.76,1.82
Portugal_Miroico:R10502___AD_426___Coverage_71.97% ,34.91,10.53,26.33,2.91,15.51,5.11,0.03,0.19,0,0.2 3,1.41,1.40,1.45
Portugal_Miroico:R10503___AD_518___Coverage_88.61% ,26.55,5.38,27.92,0,17.32,10.84,0.01,0,0.76,0.74,0 .46,5.27,4.75
Portugal_Miroico:R10507___AD_426___Coverage_50.92% ,38.63,11.65,31.01,0.01,9.03,4.08,0.01,0.65,0,1.61 ,0,1.86,1.49
Portugal_Miroico:R10508___AD_337___Coverage_66.89% ,34.88,7.41,31.31,2.22,15.35,5.34,0,0.10,0,0.09,0. 98,0.88,1.44


<tbody>
SAMPLE
DATE
COVERAGE
LATITUDE
LONGITUDE
LOCALITY
COUNTRY


R10499
331
81,68%
38,7261
-9,3653
Miroico
Portugal


R10508
337
66,89%
38,7261
-9,3653
Miroico
Portugal


R10487
337
66,13%
40,099444
-8,490556
Conimbriga
Portugal


R10488
337
57,83%
40,099444
-8,490556
Conimbriga
Portugal


R10500
426
53,65%
38,7261
-9,3653
Miroico
Portugal


R10501
426
64,40%
38,7261
-9,3653
Miroico
Portugal


R10502
426
71,97%
38,7261
-9,3653
Miroico
Portugal


R10506
426
77,69%
38,7261
-9,3653
Miroico
Portugal


R10507
426
50,92%
38,7261
-9,3653
Miroico
Portugal


R10503
518
88,61%
38,7261
-9,3653
Miroico
Portugal


R10494
781
86,54%
38,8803
-7,1637
MontedaNora
Portugal


R10496
829
85,03%
38,8803
-7,1637
MontedaNora
Portugal


R10491
832
82,74%
38,8803
-7,1637
MontedaNora
Portugal

</tbody>

Yes i see i made a mistake, i may have been misguided by the study's name. Either way these don't look like roman soldiers and i don't know which sorts of mixes would turn a basque into those samples. I would still guess they shouldn't diverge that much from the original source. If everyone everywhere was basque before the romans, i would be curious to know what was the process that changed people from basques to what we are now.

@Ajeje Brazorf, thanks for extracting information on these samples btw.


Until there is a significant number of pre-Roman samples from further west that unequivocally show high levels of steppe ancestry and north African ancestry no one can contradict Olalde's statement. For the time being it does seem your high steppe ancestry is not because of indigenous western Iberians, but from colonists who made their way here after the Roman conquest. Likewise for the non-West Euro things we all carry.
https://i.postimg.cc/tg31S1qD/sadsadsad.png

Where would you guess the colonists to be from? I don't think Y-DNA in Portugal reflects any sort of those movements.

[mitalit]

Se me ocurren muchas posibles razones, porque en realidad no lo sé.

Realmente los que habría que quitar son los que sean de después del 711, independientemente de que ploteen un poco raros, o tanto los que ploteen rarunos como los de fechas posteriores al 711.

Pero bueno, para ir divirtiéndonos, con el primer average que hiciste:


West_Iberia_LIA,0.0992,0.146075,0.0342125,-0.013775,0.0435625,-0.008375,-0.00425,0.0018625,0.0261125,0.0337625,-0.0008375,0.00565,-0.0100625,-0.009275,0.0043125,-0.000775,0.0016,-0.0030875,-0.0039,-0.000925,0.000125,-0.002825,0.0002125,-0.0061125,-0.0003875
North_Iberia_IA,0.125205,0.1431895,0.065053,0.0114 665,0.058011,0.003347,-0.0034075,0.0045,0.026077,0.034989,-0.002192,0.0088425,-0.0169475,-0.0085325,0.0107215,6.65e-05,-0.008279,0.0008865,-0.000126,-0.00075,0.0082355,0.0023495,-0.0070865,-0.0118085,-0.0061075
North_Iberia_LIA,0.1257745,0.155376,0.0631675,0.00 5814,0.052933,-0.000697,-0.001175,0.0074995,0.032826,0.0429165,-0.0010555,0.008842,-0.0237115,-0.0187855,0.013572,0.0043755,-0.004759,0.0051945,-0.0022625,-0.0090665,0.0131645,0.000371,-0.0077645,-0.0163875,-0.000778
Northeast_Iberia_LIA,0.122929,0.1412094,0.0456504, 0.018411,0.0412382,0.0034167,0.0027378,0.0059997,0 .0162905,0.019244,-0.0069746,0.0078154,-0.0095364,-0.0064202,0.009161,0.0037191,-0.0010755,0.0039592,-0.0010431,0.0037894,0.0030444,0.0005132,-0.0041782,0.0024823,-0.0025866


EL NE_Iberia_LIA son el NE_Iberia son dos averages, el NE_Iberia(6CE)+NE_Iberia(6-8CE), sería equiparable al tuyo, porque mezcla de justo antes del 711, y de un poco después, pero ha sido un modelito apresurado.

A mi se me ocurren solo dos. Una que las muestras sean de sitios muy específicos y poco representativos, y la otra es que en ese periodo se estuviese experimentando un cambio demográfico razonablemente grande a causa de una gran inmigración.
Si estas muestras son representativas, los "outliers" serian bastante comunes (aunque como bien dices, hay que separarlas por épocas)

[Ruderico]

Where would you guess the colonists to be from? I don't think Y-DNA in Portugal reflects any sort of those movements.

It does though, yDNA used to be overwhelmingly R1b in the past, today it's at ~55% and part of those should have their origins abroad (although some non-R1b might be local as well), I think this really does suggest that there was a massive turnover in Iberia starting with Roman occupation.

I have no idea why, but as I said in AG my suspicion lies with the abundance of mines in Iberia, maybe the Romans needed a lot of manpower to operate them and resorted to people (and slaves) from surrounding areas such as Mauritania and Gaul, in addition to Imperial Romans who colonised the territory. The famous Seventh Legion, which spent centuries in northwestern Iberia, also had Gallic auxiliaries, maybe some of them ended up settling in Hispania after they were released from service. Just speculation, they may be totally irrelevant.

https://i.postimg.cc/yNj0vk6c/Mining-Roman-Empire.jpg



I still find it hard to believe the Germanic period isn't necessary to explain some of these changes though, in the end with the exception of two samples (R10487 and R10507) all of these seem very Mediterranean. That said we haven't seen samples from Roman Braga, which should theoretically more important for Portuguese (and Galician) ethnogenesis, maybe one day we'll have them and this Mediterranean profile will end up being less common, with the majority of samples closer to us. Or maybe not, who knows.

[Damião de Góis]

Edit: You can try splitting these into two different groups, odds are most of us here will massively prefer Iberia_EEF over LBK.



Target: Gil_Vicente
Distance: 2.9547% / 0.02954739
37.2 Yamnaya_RUS_Samara
30.8 Iberia_EEF
25.8 LBK
6.2 MAR_EN

[Ruderico]

Target: Gil_Vicente
Distance: 2.9547% / 0.02954739
37.2 Yamnaya_RUS_Samara
30.8 Iberia_EEF
25.8 LBK
6.2 MAR_EN

Yeah I was expecting something like that from you because of all the steppe you have, I barely score LBK

Target: Ruderico_scaled
Distance: 3.4848% / 0.03484773
52.6 Iberia_EEF
32.2 Yamnaya_RUS_Samara
8.6 LBK
6.6 MAR_EN



Target: MrsRuderico_scaled
Distance: 2.1762% / 0.02176182
49.2 Iberia_EEF
32.8 Yamnaya_RUS_Samara
9.6 LBK
6.8 MAR_EN
1.6 Levant_Natufian

[gixajo]

Yes, but these are exclusively ancient samples, not modern individuals. That said you can still see this difference in G25, Iberians strongly prefer Western EEFs (especially those from Iberia) than other Europeans do. My ancient models always benefit a lot from using Iberian EEF over Barcin or LBK.

https://ars.els-cdn.com/content/image/1-s2.0-S0960982222007059-gr3.jpg


Edit: You can try splitting these into two different groups, odds are most of us here will massively prefer Iberia_EEF over LBK.

LBK:HUN_LBK_MN,0.123498,0.1807643,0.0126335,-0.0942352,0.0580878,-0.0403695,-0.0029375,-0.003,0.0397798,0.084603,0.008769,0.0125138,-0.02111,0.0004818,-0.042107,-0.0149492,0.01105,-0.0005382,0.012821,-0.0153825,-0.013757,0.0095827,-0.0092128,-0.0026512,-0.002934
LBK:DEU_LBK_HBS,0.1244086,0.182592,0.0124072,-0.0896648,0.0641812,-0.0429073,-0.0036896,-0.0041883,0.0414365,0.0872364,0.0092805,0.0126936,-0.023927,0.0001514,-0.038877,-0.0078295,0.0197988,0.00515,0.0125886,-0.0122746,-0.0098015,0.0061826,-0.0089292,-0.0052416,-0.0037063
LBK:DEU_LBK_KD,0.127482,0.183811,0.023381,-0.086564,0.079707,-0.043228,-0.010575,0.021691,0.052767,0.091118,0.011205,0.018 583,-0.015461,-0.006881,-0.044109,-0.020419,0.002217,0.015836,0.015587,-0.021635,-0.004243,0.022999,-0.025882,0.010363,-0.002994
LBK:DEU_LBK_SCH,0.1142784,0.1787332,0.0100314,-0.0908276,0.0607496,-0.0401042,0.000329,-0.0073844,0.0417638,0.0824072,0.009776,0.0103108,-0.0229828,0.0046242,-0.0385172,-0.0069476,0.018019,0.00451,0.0144304,-0.0110304,-0.0054652,0.0019288,-0.0053244,-0.0122186,-0.0034966
LBK:DEU_LBK_SMH,0.1203421,0.1797025,0.015942,-0.0828642,0.0596754,-0.0407307,-0.0022112,-0.0044264,0.0449487,0.0840605,0.0068277,0.011417,-0.0237046,0.0007444,-0.03699,-0.0066837,0.0194035,0.0016067,0.0141925,-0.0104368,-0.0090976,0.0036702,-0.0058822,-0.0043379,-0.0037395
LBK:DEU_LBK_UW,0.129758,0.178733,0.01961,-0.081719,0.068013,-0.042949,-0.00282,-0.006692,0.037837,0.082553,0.002923,0.019033,-0.022002,0.006193,-0.042616,-0.006762,0.026859,0.006841,0.015209,-0.008254,-0.015972,0.016075,0.000493,-0.005904,-0.007784
LBK:AUT_LBK_N,0.1220754,0.1839379,0.015792,-0.0885424,0.0642426,-0.0428098,-0.0023206,-0.0037789,0.0449952,0.0860381,0.0079368,0.0105094,-0.0204036,0.0025289,-0.0382054,-0.0129606,0.0148475,0.0011245,0.0146436,-0.0096453,-0.006738,0.0098304,-0.0058542,-0.0064919,-0.0058527
Iberia_EEF:Iberia_Southwest_EN,0.129758,0.165531,0 .043369,-0.062662,0.080015,-0.031515,-0.012456,0.007846,0.069129,0.094763,0.003735,0.018 733,-0.031665,-0.006055,-0.016558,-0.013789,-0.004042,0.010262,0.007039,-0.009755,0.001373,0.001237,-0.016638,-0.015183,0.002874
Iberia_EEF:Iberia_Southwest_MLN,0.1225493,0.164854 3,0.0487743,-0.041021,0.085452,-0.0256577,-0.004935,-0.0016923,0.065993,0.093001,0.002057,0.0125387,-0.0256193,-0.0159183,-0.0060623,0.0037567,0.012517,0.0048143,0.000545,-0.003585,0.016596,0.0056057,-0.0175427,-0.0430987,0.000359
Iberia_EEF:Iberia_Southeast_MLN,0.1261811,0.167707 3,0.0457934,-0.042959,0.0838399,-0.0274906,-0.0071173,-0.0006594,0.0686909,0.0943201,0.0008583,0.0181337,-0.0329389,-0.0142144,-0.0076001,-0.0033906,0.0013783,0.002968,0.0018857,-0.0046451,0.0077719,0.0038863,-0.0161279,-0.037768,0.0005473
Iberia_EEF:Iberia_North_MLN,0.1300429,0.1642619,0. 069296,-0.0196222,0.0942868,-0.0192784,-0.0060512,0.0041826,0.0651152,0.0902069,-0.0032476,0.0134692,-0.0308842,-0.0175298,-0.0036982,0.0054198,0.008263,0.0004276,0.0001414,-0.0005314,0.0160184,0.0039721,-0.0140041,-0.0431538,0.0040265
Iberia_EEF:Iberia_Northeast_MLN,0.1258561,0.170463 7,0.0529047,-0.039406,0.0901707,-0.0212354,-0.0049016,0.0039559,0.0634316,0.0944244,-0.0020646,0.0167853,-0.0307091,-0.0175763,-0.005138,0.0010987,0.0051967,0.0032034,-0.0005209,-0.004127,0.0115331,0.0051229,-0.0170083,-0.0366319,0.0007699
Iberia_EEF: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
Iberia_EEF:Iberia_N,0.1239407,0.1755737,0.0341921,-0.0626261,0.0768007,-0.0339317,-0.004439,-0.0011793,0.0618117,0.0996021,0.0021292,0.015586,-0.0343077,-0.0108723,-0.0189858,-0.0058929,0.0074029,0.001844,0.0048463,-0.0070036,0.002468,0.0035996,-0.008148,-0.0235909,9.3e-05
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
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
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
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



I believe you, don´t worry, I was just explainning why I did what I did.

Anyway,even getting better distances with Iberia_EEF, WHG practically dissappears and some strange Natufian apperas in my results.

With Iberia_EEF



Target: gixajo_scaled
Distance: 2.2414% / 0.02241432
61.4 Iberia_EEF
34.2 Yamnaya_RUS_Samara
3.6 Levant_Natufian
0.8 MAR_EN

Target: gixajo_dad_scaled
Distance: 2.3139% / 0.02313912
63.0 Iberia_EEF
32.4 Yamnaya_RUS_Samara
3.4 MAR_EN
1.2 Levant_Natufian

Target: gixajo_mom_scaled
Distance: 2.7161% / 0.02716124
61.2 Iberia_EEF
34.6 Yamnaya_RUS_Samara
2.8 WHG
1.4 MAR_EN


With LBKs


Target: gixajo_scaled
Distance: 3.0693% / 0.03069291
55.4 LBK
31.2 Yamnaya_RUS_Samara
10.4 WHG
3.0 MAR_EN

Target: gixajo_dad_scaled
Distance: 2.7760% / 0.02776006
58.8 LBK
29.2 Yamnaya_RUS_Samara
7.2 WHG
4.8 MAR_EN

Target: gixajo_mom_scaled
Distance: 3.5820% / 0.03582031
52.6 LBK
32.6 Yamnaya_RUS_Samara
11.8 WHG
3.0 MAR_EN


With both at the same time, as you said, algortim prefers Iberia_EEf as solution:


Target: gixajo_scaled
Distance: 2.2491% / 0.02249126
53.0 Iberia_EEF
34.0 Yamnaya_RUS_Samara
10.4 LBK
2.2 MAR_EN
0.4 WHG

Target: gixajo_dad_scaled
Distance: 2.1401% / 0.02140143
40.2 Iberia_EEF
31.4 Yamnaya_RUS_Samara
24.0 LBK
4.4 MAR_EN

Target: gixajo_mom_scaled
Distance: 2.6947% / 0.02694653
53.4 Iberia_EEF
34.4 Yamnaya_RUS_Samara
7.0 LBK
3.6 WHG
1.6 MAR_EN


And again, when I post that model using LBK, the model was for every European, not just for Iberians, so probably what I did was better option because our Iberian_EEF could have created "interferences" reading the Neolithic+WHG of Northern Europeans as Iberia_EEF.

For example:


Target: Norwegian
Distance: 3.4021% / 0.03402114
52.6 Yamnaya_RUS_Samara
24.8 Iberia_EEF
12.8 LBK
9.8 WHG

Target: German
Distance: 2.8730% / 0.02873033
49.0 Yamnaya_RUS_Samara
30.0 LBK
12.4 Iberia_EEF
8.6 WHG

Target: English
Distance: 3.2677% / 0.03267709
50.2 Yamnaya_RUS_Samara
29.8 Iberia_EEF
12.6 LBK
7.4 WHG

[Ruderico]

Yeah it's all as expected, particularly your mum benefiting even more from the Iberian EEF references.
It's interesting that using Iberian EEFs is making steppe ancestry higher than using LBK, I have no idea why the algorithm does this, nor if it's any more valid.

[Brás Garcia de Mascarenhas]

Target: Viriato_scaled
Distance: 2.7569% / 0.02756924
46.0 Iberia_EEF
34.2 Yamnaya_RUS_Samara
12.6 LBK
6.0 MAR_EN
1.2 WHG

Target: Viriato_Wife_scaled
Distance: 2.5882% / 0.02588185
46.2 Iberia_EEF
34.4 Yamnaya_RUS_Samara
11.8 LBK
6.2 MAR_EN
1.4 Levant_Natufian

Target: Viriato_Father_scaled
Distance: 1.5579% / 0.01557927
38.0 Yamnaya_RUS_Samara
30.2 LBK
25.4 Iberia_EEF
6.2 MAR_EN
0.2 WHG

[gixajo]

Yeah it's all as expected, particularly your mum benefiting even more from the Iberian EEF references.
It's interesting that using Iberian EEFs is making steppe ancestry higher than using LBK, I have no idea why the algorithm does this, nor if it's any more valid.

Maybe using unscaled coordinates with some penalization could give more stable or accurate results.

Anyway, all those papers don´t use G25 to show their samples genetic admixtures (as far as I know), so it´s difficult to get exactly all those results with our models.

[Brás Garcia de Mascarenhas]

If I am not mistaken I usually get two digits WHG (my family as well). It is being pulled in favor of LBK.

[PT Tagus]

Target: Endovelicus_scaled
Distance: 3.2940% / 0.03294010
34.2 Yamnaya_RUS_Samara
27.6 Iberia_EEF
26.8 LBK
6.4 MAR_EN
5.0 Levant_Natufian

[gixajo]

It seems that the more Western Iberian ancestry one has, the more LBK shows.

Also Natufian emerge randomly, at least I have never seen natufian in my parents or in my results.

However, English or Norwegian show quite a high ammount of Iberia_EEF, and I don´t see what is the logic of it.

[Ruderico]

If I am not mistaken I usually get two digits WHG (my family as well). It is being pulled in favor of LBK.Iberian EEF has more WHG in it than LBK does, that's why I left the WHG reference there to account for those who need more of it due to high LBK.


It seems that the more Western Iberian ancestry one has, the more LBK shows.

Also Natufian emerge randomly, at least I have never seen natufian in my parents or in my results.

However, English or Norwegian show quite a high ammount of Iberia_EEF, and I don´t see what is the logic of it.

Yes you're right, and catalan-speakers should have it as well, with Central and North Spanish strongly preferring the Iberian one. Maybe it's the consequence of a higher rate of non-Iberian European origin, maybe associated with Germanic-like and East Med ancestry? Outside Iberia Iberia_EEF is apparently higher along the Atlantic, odds are these areas retained the highest amount of Western EEF in Europe, which is otherwise dominated by much higher amounts of Eastern EEF.

I wouldn't take this figures at face value, but the trend in different EEF references preference is there. I don't think unscaled coordinates will help, such ancient samples tend to have less reliance on higher dimensions which is what unscaled does by overwhelmingly preferring the first two or three - what's why I usually make these ancient models with scaled data. That said the MAR_EN figures are occasionally silly.


Edit: I just noticed your distances, it's incredible how much better Iberian_EEF are for us

[Gallop]

Target: Gallop_scaled
Distance: 2.2916% / 0.02291616
50.0 Iberia_EEF
33.8 Yamnaya_RUS_Samara
11.2 LBK
5.0 MAR_EN

Target: Father_scaled
Distance: 2.6503% / 0.02650319
36.2 Iberia_EEF
32.2 Yamnaya_RUS_Samara
23.0 LBK
5.8 MAR_EN
2.8 WHG

-------------------

Target: Gallop_scaled
Distance: 1.8018% / 0.01801785
52.8 Father_scaled
28.2 Iberia_EEF
16.2 Yamnaya_RUS_Samara
1.6 Levant_Natufian
1.2 MAR_EN

Target: Father_scaled
Distance: 2.1143% / 0.02114253
69.4 Gallop_scaled
16.0 LBK
9.0 Yamnaya_RUS_Samara
2.8 WHG
2.4 MAR_EN
0.4 Iberia_EEF

[Defcon2]

It seems that the more Western Iberian ancestry one has, the more LBK shows.

Also Natufian emerge randomly, at least I have never seen natufian in my parents or in my results.

However, English or Norwegian show quite a high ammount of Iberia_EEF, and I don´t see what is the logic of it.

The Iberian EEF must originally be the one that contributed to the current Iberians, LBK sometimes causes weird artifacts in calculators and "replaces" it sometimes, at least that's what I think.

Target: Defcon2_scaled
Distance: 3.1785% / 0.03178514
46.8 Iberia_EEF
33.6 Yamnaya_RUS_Samara
13.4 LBK
6.2 MAR_EN

[Ruderico]

The Iberian EEF must originally be the one that contributed to the current Iberians, LBK sometimes causes weird artifacts in calculators and "replaces" it sometimes, at least that's what I think.


Pre-Roman samples
https://i.postimg.cc/02yQq8Qv/pre-roma.png


Roman and post-Roman samples
https://i.postimg.cc/157zmLnq/pos-roma.png

Western EEF dominates in pre-Roman samples, although some individuals also benefit slightly from LBK. The second group is the complete opposite, only a few of them strongly prefer the native EEF references, that includes the Visigothic samples and those with high East Med+North African. Naturally the Reconquista changed the scenario. Since north/central Spanish (Leonese and Castillians) derive more of their ancestry from pre-Roman Iberia, they will prefer Western EEF more strongly than Galician-Portuguese or Catalan speakers do. I think.

This should imply that the Portuguese derive less of their ancestry from indigenous peoples of Iberia (with some exceptions, such as yours truly), not that this is surprising, but there it is.


Edit: Simulated Roman Portuguese samples. I don't trust these coordinates, but for the sake of completeness here they are
https://i.postimg.cc/rz62zXW8/west-east-eef-roman-portugal.png

[Defcon2]

Pre-Roman samples
https://i.postimg.cc/02yQq8Qv/pre-roma.png


Roman and post-Roman samples
https://i.postimg.cc/157zmLnq/pos-roma.png

Western EEF dominates in pre-Roman samples, although some individuals also benefit slightly from LBK. The second group is the complete opposite, only a few of them strongly prefer the native EEF references, that includes the Visigothic samples and those with high East Med+North African. Naturally the Reconquista changed the scenario. Since north/central Spanish (Leonese and Castillians) derive more of their ancestry from pre-Roman Iberia, they will prefer Western EEF more strongly than Galician-Portuguese or Catalan speakers do. I think.

This should imply that the Portuguese derive less of their ancestry from indigenous peoples of Iberia (with some exceptions, such as yours truly), not that this is surprising, but there it is.


Edit: Simulated Roman Portuguese samples. I don't trust these coordinates, but for the sake of completeness here they are
https://i.postimg.cc/rz62zXW8/west-east-eef-roman-portugal.png

Galicia continues to prefer the Iberian Neolithic samples over those of LBK. :confused:

Target: Spanish_Galicia
Distance: 1.6071% / 0.01607141
48.4 Iberia_EEF
34.4 Yamnaya_RUS_Samara
11.2 LBK
4.6 MAR_EN
1.4 Levant_Natufian

What I did notice is that samples strongly influenced by the Mediterranean or Italics tend to prefer LBK over EEF Iberia, the case of the Canary Islands is clear (proportionally to their total European ancestry) and the Balearic Islands (the Baleares, Mallorca and Menorca are among the Iberian regions with higher LBK).


Target: Spanish_Canarias
Distance: 1.9179% / 0.01917874
31.0 Yamnaya_RUS_Samara
30.0 Iberia_EEF
25.4 LBK
10.6 MAR_EN
3.0 Levant_Natufian

Target: Spanish_Baleares
Distance: 1.5192% / 0.01519249
35.4 Yamnaya_RUS_Samara
33.8 Iberia_EEF
28.4 LBK
2.4 MAR_EN

The Catalans are also influenced by this "italic" current, which doesn't surprise me because of their geography.

[Urbanuss]

Ahora le paso este post a ver que te comenta.

¿Conoces este mapa de ancient samples del Ydna E (https://www.google.com/maps/d/viewer?mid=1R_jpaS0H5UqKinPpJc7b3PWqyCI&ll=35.296872983434746%2C1.5003242187499923&z=5)?

Why so many Y-E in Hungary?

[Beowulf]

Target: VikingMallorca_scaled:K13&K15_sim
Distance: 1.7938% / 0.01793754
46.8 Iberia_EEF
34.0 Yamnaya_RUS_Samara
13.4 LBK
3.4 Levant_Natufian
2.4 MAR_EN

[gixajo]

Why so many Y-E in Hungary?

No los he mirado pero serán E-V13 balcánicos.

[Pedro Ruben]

Target: Pedro_scaled
Distance: 3.0955% / 0.03095476
36.0 Yamnaya_RUS_Samara
26.0 Iberia_EEF
25.8 LBK
9.2 MAR_EN
2.6 WHG
0.4 Levant_Natufian

Target: Dad_scaled
Distance: 3.1287% / 0.03128681
32.0 Yamnaya_RUS_Samara
31.6 Iberia_EEF
21.4 LBK
11.0 MAR_EN
4.0 WHG

Target: Mom_scaled
Distance: 2.6600% / 0.02659968
43.2 Iberia_EEF
35.6 Yamnaya_RUS_Samara
13.2 LBK
6.8 MAR_EN
1.2 WHG

[gixajo]

Ya tengo los resultados del Full mtdna de FTDNA, me han dado (no sé si por ahora o no van a ir más allá) H1q2.

Subí los datos en crudo a Yfull, y en cosa de 5 minutos ya tenía los resultados. Y me han puesto en el mtdna Tree:

https://i.postimg.cc/PrtnMjjs/H1q2a-Alava.png (https://postimages.org/)

[Gallop]

Todos los mtdna de Yfull están en construcción.

[gixajo]

Todos los mtdna de Yfull están en construcción.

Eternamente.

Es como la calle de debajo de mi casa, todos los años le cambian el pavimento.

[Beowulf]

Target: VikiingMallorcaSpain_mom
Distance: 1.6707% / 0.01670671 | ADC: 0.25x RC
35.2 Yamnaya_RUS_Samara
25.4 Iberia_EEF:Iberia_Northeast_MLN
22.8 Iberia_EEF:Iberia_Southwest_EN
11.4 LBK:DEU_LBK_SMH
3.4 MAR_EN
1.8 Levant_Natufian

el de mi madre:

[Defcon2]

Ya tengo los resultados del Full mtdna de FTDNA, me han dado (no sé si por ahora o no van a ir más allá) H1q2.

Subí los datos en crudo a Yfull, y en cosa de 5 minutos ya tenía los resultados. Y me han puesto en el mtdna Tree:

https://i.postimg.cc/PrtnMjjs/H1q2a-Alava.png (https://postimages.org/)

Entonces eso significa que eres español y no eslavo?

[gixajo]

Entonces eso significa que eres español y no eslavo?

Ni de coña, yo me siento super Balto-eslavo-germánico. Sigo aspirando al trono visigodo por mi Ydna, al del Reino de Granada por mi pequeño árabe autosomal, y mientras no conozcamos el Ydna de Colón, aún tengo esperanzas de poder heredar el título de Almirante de la Mar Océana.

No sé a qué puedo aspirar por mi mtdna... ¿Se te ocurre algo?.

[Defcon2]

Ni de coña, yo me siento super Balto-eslavo-germánico. Sigo aspirando al trono visigodo por mi Ydna, al del Reino de Granada por mi pequeño árabe autosomal, y mientras no conozcamos el Ydna de Colón, aún tengo esperanzas de poder heredar el título de Almirante de la Mar Océana.

No sé a qué puedo aspirar por mi mtdna... ¿Se te ocurre algo?.

El único escollo que le veo es tu herencia vasca que son dados a resistirse a las moderneces por lo demás yo te votaría.

Tu linaje materno fue dominante en las culturas megalíticas que fue producto del mestizaje entre mesolíticos europeos y agricultores, pero el problema es que es el más común :confused:

[gixajo]

El único escollo que le veo es tu herencia vasca que son dados a resistirse a las moderneces por lo demás yo te votaría.

Tu linaje materno fue dominante en las culturas megalíticas que fue producto del mestizaje entre mesolíticos europeos y agricultores, pero el problema es que es el más común :confused:

EL H1 será común, pero el H1q2a no!!!

¿Cómo osas llamar común a mi linaje maternal? No hay huevos a decirme algo así en la calle...

[Defcon2]

EL H1 será común, pero el H1q2a no!!!

¿Cómo osas llamar común a mi linaje maternal? No hay huevos a decirme algo así en la calle...

El H1q2a sigue siendo H1 pero con más letras y números :mad:

[gixajo]

El H1q2a sigue siendo H1 pero con más letras y números :mad:

Entonces no es lo mismo!!!

https://i.postimg.cc/28S5H8RZ/homero-indiferente.gif (https://postimages.org/)

[mitalit]

https://i.gyazo.com/51dce4d8e13c3a9dd3a4927e94f01bab.png

[Beowulf]

hay alguna calcualdora que tenga muestras visigodas o ostrogodas que sean realmente germanicas?

[gixajo]

[IMG]

:rolleyes:

[gixajo]

hay alguna calcualdora que tenga muestras visigodas o ostrogodas que sean realmente germanicas?

El problema es que hace tanto tiempo del aporte godo, que desde entonces lo poco que pudo haber está más que diluido en la genética de la península, aparte que cualquier otro aporte centroeuropeo o noreuropeo moderno pesaría bastante más en nuestros resultados autosomales y no habría forma de diferenciar si ese aporte es godo o moderno.

Como el NA o como muchos otros.

De todas formas igual esto que hice para usarlo como proxy "godo"te sirve, el average Goth_Kowalewko+Goth_Weklice, y los individuales que usé para hacerlo.

Promedio.


Goths_Kowalewko+Weklice:SinCribar,0.1274818,0.1246 054,0.0701822,0.0593351,0.044439,0.0183789,0.00864 84,0.0095074,0.007465,-0.0133761,-0.0077134,0.0007193,-0.0045642,-0.0034405,0.0174128,0.0088171,0.0008737,0.0064738,-0.0017094,0.0086292,0.0113301,-0.0025472,-0.0005177,0.0149417,0.0008621

Referencia raruna que no sé qué indica.


Goths_Kowalewko+Weklice,0.132035,0.135065,0.071276 ,0.066215,0.042469,0.024263,0.004935,0.012923,0.00 5113,-0.005832,-0.008444,0.004346,-0.007433,-0.004679,0.02158,0.002387,-0.005215,-0.003547,0.006536,-0.001876,0.005241,-0.001237,0.004807,0.013375,-0.005748

Individuales



Goths_Kowalewko+Weklice:Kowalewko_2,0.136588,0.133 034,0.078441,0.067507,0.056626,0.025658,0.020916,0 .012692,0.016566,0.002369,-0.017376,0.007343,-0.002379,-0.005918,0.00665,0.011535,-0.010691,0.024198,-0.003268,0.015758,0.010357,0.000618,0.002465,0.006 266,-0.003353
Goths_Kowalewko+Weklice:Kowalewko_4,0.137726,0.129 988,0.070144,0.081719,0.045547,0.015339,0.003055,0 .014076,0.005318,-0.017312,-0.015914,0.005095,-0.00892,0.001927,0.012486,0.009944,-0.015776,0.01761,-0.000628,0.007629,0.011979,0.004081,0.002465,0.024 341,0.007903
Goths_Kowalewko+Weklice:Kowalewko_5,0.114961,0.131 003,0.065619,0.04845,0.047701,0.01506,0.00282,0.01 8692,0.006136,-0.020228,-0.010718,-0.013638,-0.000595,-0.009496,0.018458,0.010342,0.014342,0.006081,-0.013324,0.004877,0.016596,-0.013107,0.001232,0.00482,0.004191
Goths_Kowalewko+Weklice:Kowalewko_6,0.119514,0.108 662,0.05242,0.042636,0.036007,0.001394,0.008225,0. 000231,0.001636,-0.015126,-0.008119,-0.008542,-0.001041,-0.008808,0.009636,0.004641,0.025164,-0.001014,-0.013952,-0.00075,-0.005989,0.000247,-0.002711,0.012652,0.006826
Goths_Kowalewko+Weklice:Kowalewko_10,0.134311,0.09 7491,0.074293,0.059755,0.046778,0.021753,0.015511, 0.006923,0.008385,-0.021868,-0.010068,-0.006145,-0.014569,0.00234,0.02823,0.001458,-0.007171,0.007855,-0.001634,0.013131,0.026578,0.01014,0.005669,0.0153 03,0.010179
Goths_Kowalewko+Weklice:Kowalewko_11,0.108132,0.13 7096,0.070899,0.055556,0.052933,0.020638,0.003055, 0.010615,0.016975,-0.019499,0.002923,0.007943,-0.00446,-0.004404,-0.004072,0.019888,0.02021,-0.002027,-0.015461,0.01138,-0.000873,-0.007296,-0.001479,0.035547,0.011735
Goths_Kowalewko+Weklice:Kowalewko_7,0.127482,0.125 926,0.078441,0.053295,0.049548,0.023706,0.013631,0 .006461,0.01084,-0.00893,-0.007145,0.004796,-0.011001,0.006606,0.03203,0.001326,-0.001304,0.014949,0.014204,0.008629,0.021462,-0.018301,0.000493,0.000241,-0.002275
Goths_Kowalewko+Weklice:Kowalewko_8,0.144555,0.137 096,0.06939,0.054587,0.018157,0.023985,0.011751,0. 004154,0.002045,-0.008383,-0.014615,-0.013038,0.003419,-0.007156,0.024022,0.005569,-0.008605,-0.005954,-0.002011,0.012006,0.011854,-0.008779,-0.003944,0.024943,0.003592
Goths_Kowalewko+Weklice:Kowalewko_9,0.140002,0.120 848,0.071653,0.06783,0.048624,0.023148,-0.000235,0.001846,0.015544,-0.02442,-0.003897,0.01109,0.005054,-0.007569,0.035966,0.022275,0.003651,-0.010769,-0.000377,0.016383,0.007986,-0.001978,-0.004807,0.016749,-0.007784
Goths_Kowalewko+Weklice:Kowalewko_12,0.111547,0.12 491,0.070522,0.062016,0.042469,0.013108,0.007755,0 .019384,-0.008795,-0.000364,0.007795,0.012289,-0.01115,-0.001927,0.010722,0.001193,-0.011083,0.013809,0.019357,-0.002751,0.013351,0.008903,-0.00456,0.008555,-0.022393


Edit: Cambié el post inicial para presentar mejor las coordenadas.

[Defcon2]

:rolleyes:

:rolleyes:

[Brás Garcia de Mascarenhas]

https://i.gyazo.com/51dce4d8e13c3a9dd3a4927e94f01bab.png

O que é isto? Não conheço.

[mitalit]

:rolleyes:

YFULL no es instantáneo, no? Cuanto tarda? Ya tengo el BAM me ha tardado solo media horita, a ver que puedo hacer con el. Tu ya has conseguido sacar el bam para el tema de el autosomal_?

[mitalit]

O que é isto? Não conheço.

Es el full genoma, creo que te lo comente hace un tiempo. A ver que le puedo sacar

[gixajo]

:rolleyes:

:rolleyes:

:rolleyes:

[mitalit]

https://c.tenor.com/QhoOZ7qzvp8AAAAC/dios-te-ama.gif
https://i.gyazo.com/63cbda87736538af73c83ef2d598365d.png

[gixajo]

YFULL no es instantáneo, no? Cuanto tarda? Ya tengo el BAM me ha tardado solo media horita, a ver que puedo hacer con el. Tu ya has conseguido sacar el bam para el tema de el autosomal_?

Yo ayer subí a Yfull el BAM que me dieron del full mtdna de FTDNA y en cinco minutos ya estaba todo, pero no recuerdo cuánto tardó con el CSV del BIG Y, me suena que tuve que esperar bastante.

Y con lo vuestro que son un huevo de datos, digo yo que será más...

[mitalit]

Yo ayer subí a Yfull el BAM que me dieron del full mtdna de FTDNA y en cinco minutos ya estaba todo, pero no recuerdo cuánto tardó con el CSV del BIG Y, me suena que tuve que esperar bastante.

Y con lo vuestro que son un huevo de datos, digo yo que será más...

Pues no se como va. En nebula pone que me enviaran un email, pero a nada que refresco la pagina se reinicia y no se si lo e enviado como 4 veces ya (estarán hartos de mi) o ninguna.

[Brás Garcia de Mascarenhas]

Es el full genoma, creo que te lo comente hace un tiempo. A ver que le puedo sacar

Por 100€ dá-te a sequência completa do teu genoma?

[gixajo]

[IM
G]

:eek:

No estoy seguro de si es eso lo que creo que es...

[mitalit]

Por 100€ dá-te a sequência completa do teu genoma?

199 dolares (cuando lo compré, ahora el dolar y el euro son prácticamente lo mismo :cry). Pero estaba de oferta, no se cuanto cuesta de normal

[mitalit]

:eek:

No estoy seguro de si es eso lo que creo que es...

Honestamente tampoco se si es lo que creo que es

[Brás Garcia de Mascarenhas]

199 dolares (cuando lo compré, ahora el dolar y el euro son prácticamente lo mismo :cry). Pero estaba de oferta, no se cuanto cuesta de normal

Ainda assim é barato comparativamente com a concorrência. Estou a ler é que depois tens de pagar uma subscrição mensal para usufruir de algumas opções.

[mitalit]

Ainda assim é barato comparativamente com a concorrência. Estou a ler é que depois tens de pagar uma subscrição mensal para usufruir de algumas opções.

Para obtener los traits, riesgos de enfermedades... Pero lo importante es la raw.
He estado viéndolo y no me convencen aunque quien sabe, si es verdad es para asustarse.
https://i.gyazo.com/277ca5ae9d99f1ea4340c327c74021dc.png

[Defcon2]

YFULL no es instantáneo, no? Cuanto tarda? Ya tengo el BAM me ha tardado solo media horita, a ver que puedo hacer con el. Tu ya has conseguido sacar el bam para el tema de el autosomal_?

Tienes que darle al botón para transferirlo directamente a Yfull (creo que en la pestaña sección herencia profunda o algo así), no hace falta descargarse nada. Luego te mandan un email para avisarte de que está listo los de Yfull y para completar el registro.

Por cierto busca en la carpeta de correo no deseado.

[mitalit]

:eek:

No estoy seguro de si es eso lo que creo que es...

Ya los tengo, al parecer es como tener la raw data de esas compañias, aunque por lo que veo no te dan los resultados que te darían esas compañías. Una opción (la mas interesante) es "combined kit", que supongo que tendrá bastantes snps. Ya lo he subido a gedmatch a ver que tal

[mitalit]

Tienes que darle al botón para transferirlo directamente a Yfull (creo que en la pestaña sección herencia profunda o algo así), no hace falta descargarse nada. Luego te mandan un email para avisarte de que está listo los de Yfull y para completar el registro.

Por cierto busca en la carpeta de correo no deseado.

Eso hice, supongo que mañana me enviarana el mensaje.

[mitalit]

El tocho. Mas del triple de snps :rolleyes:
https://i.gyazo.com/d684106bee74d3ecfaec394e887b4e76.png

El cutre
https://i.gyazo.com/e6ba9f2f2c191ee2e6b16368e7351083.png

[Defcon2]

El tocho. Mas del triple de snps :rolleyes:
[]

Ya lo probaré en cuanto haga copia de seguridad del disco duro, para el G25 hay una página que proporciona la coordenadas pero no recuerdo cual es.

[mitalit]

Pues Nebula no me responde. Estoy por enviarlos directamente a YFULL pero lo bueno de Nebula es que te daban 3 meses gratis en YFULL, y creo que de esta manera tienes que pagar desde el primer momento, o tambien te dan una prueba de unos meses?

[Damião de Góis]

Outra opção para experimentarem (Ancestry):

https://i.imgur.com/Dig51M1.png

Pode ser comprado via Amazon.

[gixajo]

El tocho. Mas del triple de snps :rolleyes:
G]

¿Te cambian mucho los oracles?

[mitalit]

¿Te cambian mucho los oracles?

Los oracles son prácticamente iguales, pero si que veo diferencias en los resultados. Realmente me ha sorprendido que son bastante parecidos, aunque si me hago G25 apuesto a que saco menos steppe, algo mas de whg y puede que algo mas de NA

[gixajo]

Los oracles son prácticamente iguales, pero si que veo diferencias en los resultados. Realmente me ha sorprendido que son bastante parecidos, aunque si me hago G25 apuesto a que saco menos steppe, algo mas de whg y puede que algo mas de NA

Igual el K36 te da más pistas que el K13 de como pueden comportarse unas nuevas coordenadas del G25.

[mitalit]

Igual el K36 te da más pistas que el K13 de como pueden comportarse unas nuevas coordenadas del G25.

Esta es la diferencia de k36 en la calculadora de creoda, ahora mis distancias son menores y creo que me he vasquicificado un pelin

Differences between the old data and the full genome.
It has more than three times the SNPs of the old (the old data is from 23andme, which is pretty shitty raw)


Target: Xabi_Full-Genome
Distance: 650.6230% / 6.50622967 | ADC: 0.25x RC
66.0 Spanish_Castello
15.6 Spanish_Girona
6.4 German_East_Prussia_Central
5.2 Spanish_Aragon
4.8 Darginian
2.0 German_Lower_Silesia

Target: Xabi_Old
Distance: 888.2911% / 8.88291073 | ADC: 0.25x RC
80.2 Spanish_Castello
19.8 Austrian_LowerAustria

-----------------------------------------------------------------

Distance to: Xabi_Full-Genome
7.65086270 Spanish_Girona
8.23020048 Spanish_Eivissa
8.24542297 Spanish_Mallorca
8.70279266 Spanish_Camp_de_Tarragona
8.73225629 Spanish
8.97531615 Spanish_Castello
9.04993370 Spanish_Lleida
9.85250730 Spanish_Penedes
9.94154918 Spanish_Catalunya_Central
10.15295523 Portuguese_Azores
10.24956097 Spanish_Peri-Barcelona
10.44025383 Spanish_Galicia
10.64535110 Spanish_Valencia
10.64644542 Portuguese
10.69068286 Spanish_Pirineu
10.80479060 Spanish_Aragon
10.81924674 Spanish_Barcelones
10.91336337 Spanish_Valencia
10.98270458 Spanish_Alacant
11.17815727 Spanish_Andalusia
11.18104646 Spanish_Terres_de_l'Ebre
12.31124689 Spanish_Baleares
13.46533698 Spanish_Cantabria
13.82776829 French_Provence
14.42773024 French_Central


Distance to: Xabi_Old
9.73529661 Spanish_Mallorca
10.21119484 Spanish_Girona
10.49398399 Spanish_Castello
10.64432243 Spanish_Camp_de_Tarragona
10.97385074 Spanish_Eivissa
11.10246369 Spanish_Lleida
11.21159667 Spanish_Penedes
11.32942629 Spanish
11.96122903 Spanish_Catalunya_Central
12.16454274 Spanish_Peri-Barcelona
12.35830895 Spanish_Baleares
12.71091263 Spanish_Barcelones
12.73845752 Portuguese_Azores
12.77466634 Spanish_Galicia
13.24212596 Spanish_Valencia
13.24677319 Spanish_Alacant
13.26391345 Portuguese
13.45356087 Spanish_Pirineu
13.63060527 Spanish_Andalusia
13.74882904 Spanish_Valencia
13.88232329 Spanish_Aragon
14.14226290 Spanish_Terres_de_l'Ebre
14.62124482 Italian_Aosta
14.82658423 French_Central
15.11831260 French_Provence

[gixajo]

Esta es la diferencia de k36 en la calculadora de creoda, ahora mis distancias son menores y creo que me he vasquicificado un pelin

No creo que haya muchos cambios con tu G25, pero ya veremos si haces uno nuevo como va.

Si te has vasquizado un pelín, igual sube algo tu WHG y baja tu exagerado Yamnaya, pero viendo también tu K13 da la impresión de que el MAR_Taforalt también debería subir un poco.

A ver como van tu Ydna y tu mtdna, ahí supongo que sí que profundizará bastante más.

[Beowulf]

gracias por las muestras ;)

ayer probé las calculadoras de G25 en una aplicacion llamada G25 studio esta bastante bien

aqui pondre los resultados mas buenos que cre yo personalmente:


yo:
43,00% Hispania
26,00% Aquitania
14,00% Gallia
05,20% Italia
04,00% Aegyptus
02,80% Pannonia
01,80% Parthia
01,60% Achaea
01,40% Byzantium\Graeco-Romanum
00,20% Syria

mama:
33,20% Hispania
29,80% Aquitania
11,40% Britannia
09,40% Gallia
07,40% Aegyptus
03,80% Achaea
02,60% Asia
01,40% Scandinavia
01,00% Dacia


y el moderno:
50,60% Iberian
24,80% French
09,00% Sardinian
05,00% Celtic
04,20% Scandinavia
03,20% Western_North_Africa
01,40% Coptic_Egyptian
01,20% North_Italy
00,40% South_Amerindian
00,20% Northwest_Caucasus

(es el de mi madre el mio se me a olvidado xd)

[Beowulf]

Eh hecho una calculadora(partes las tomé prestadas) con las muestras godas alguien la quiere probar?



mis resultados:
Target: VikingMallorca_scaled:K13&K15_sim
Distance: 0.8911% / 0.00891118
84.4 Hispano
12.0 Italian
2.0 Galo
1.6 Goths

el de mi madre:

Target: VikiingMallorcaSpain_mom
Distance: 0.5118% / 0.00511782
82.0 Hispano
13.4 Galo
2.4 Goths
2.2 Italian


Amerindian,0.056229,-0.269522,0.1111,0.087469,-0.09688,-0.016957,-0.273881,-0.327263,-0.01129,-0.012392,-0.004027,-0.002008,-0.002438,0.021937,-0.003664,0.008221,0.007745,-0.001824,-2.5e-05,0.000425,-0.001073,0.009224,0.000468,0.003519,-0.002155
Arabian,0.05059585,0.13995270,-0.06513990,-0.11723870,-0.00940130,-0.04997380,-0.01229238,-0.00808298,0.05608075,-0.00410653,0.01556333,-0.03192903,0.06243548,0.00350273,0.00455410,0.0252 5745,-0.02140830,0.00386218,0.00015448,0.02687405,0.0126 3658,0.01614353,-0.00905183,0.00697205,-0.00832413
Armenian,0.10509315,0.13768585,-0.05823490,-0.06060000,-0.03175850,-0.01561800,0.00589615,-0.00656435,-0.03826240,-0.00506190,0.00201840,0.00339870,-0.00773695,0.00172020,-0.00649520,-0.00460265,0.00474855,0.00030305,0.00022010,0.0008 9650,0.00294790,0.00317855,-0.00264765,-0.00425920,0.00036025
Balkan,0.12638157,0.13520087,0.04103063,0.01803417 ,0.03150327,0.00620067,0.00450420,0.00621514,0.001 42483,0.00096587,-0.00188910,-0.00109397,0.00282463,0.01096387,-0.01073077,-0.00273577,0.00497627,-0.00082773,0.00328490,-0.00291803,-0.00656340,-0.00225870,0.00450270,0.00035350,-0.00131333
Baltic,0.13419740,0.11830925,0.08826510,0.08638635 ,0.04299255,0.03189105,0.01198555,0.01426095,-0.00087945,-0.03266560,-0.00175390,-0.01308335,0.02134025,0.02636855,-0.00861145,0.00288380,0.00146670,-0.00143170,0.00147695,0.00325795,-0.00070510,-0.00379000,0.00666760,-0.00428965,0.00284405
Berber,-0.06548320,0.13410613,-0.00816420,-0.07538218,0.02581348,-0.03472953,-0.02944445,0.00831648,0.06752790,0.02796198,0.0070 7855,-0.00796418,0.02308645,-0.01552258,0.01677808,-0.01294335,-0.00285148,-0.02166338,-0.04415378,0.01019313,-0.01565483,-0.03933808,0.02467100,-0.00293920,0.00493865
anglo_sajon:English,0.13102565,0.13839775,0.061571 45,0.04359780,0.04056560,0.01657980,0.00420955,0.0 0606750,0.00587280,0.00632250,-0.00470165,0.00604745,-0.01316735,-0.01029915,0.02068505,0.00336205,-0.01144795,0.00310430,0.00372315,0.00310190,0.0053 7285,0.00363740,-0.00201385,0.01408045,0.00036125
Celta_Britanico,0.13228260,0.13575633,0.06116163,0 .04610647,0.03934567,0.01760073,0.00328790,0.00544 713,0.00432753,0.00329560,-0.00566140,0.00552183,-0.01298923,-0.01229210,0.02298907,0.00455140,-0.01034353,0.00244507,0.00212870,0.00159910,0.0047 9467,0.00279477,-0.00034153,0.01318237,0.00036833
Chinese,0.02574093,-0.44672400,0.00416373,-0.06463350,0.05351190,0.02476773,0.00551737,0.0020 7600,-0.01316077,0.00126697,-0.07530797,-0.01189107,0.01126457,-0.00655843,-0.00550930,0.00257083,0.00261210,0.00151403,0.0006 5540,-0.00996537,0.01280200,0.00725607,0.01069883,-0.00123393,-0.00250313
Galo:Center,0.12629375,0.14304605,0.04892535,0.018 49095,0.04218765,0.00665110,0.00122955,0.00398360, 0.01350490,0.02017300,-0.00508600,0.00708335,-0.01343755,-0.01002685,0.01103420,0.00377305,-0.00130630,0.00308060,0.00289040,-0.00059540,0.00202930,0.00365585,-0.00175740,0.00647840,-0.00099690
Georgian,0.10835960,0.13506550,-0.05811440,-0.05122780,-0.03449870,-0.00872940,0.01015250,-0.00519230,-0.05675520,-0.01525330,0.00121790,0.01150970,-0.02157060,0.00567000,-0.00108580,-0.02031270,0.00988310,-0.00392740,-0.00624710,0.01288120,0.00893410,0.00169400,-0.00067780,-0.00788050,-0.00144900
suevo,0.12967560,0.13619240,0.05618755,0.03572190, 0.03738955,0.01410635,0.00564820,0.00601530,0.0031 7670,0.00231755,-0.00414570,0.00157895,-0.00333240,0.00012160,0.00450770,0.00349405,-0.00152525,0.00122655,0.00327310,0.00127880,0.0010 7455,-0.00032490,0.00086965,0.00563395,-0.00037550
Greek,0.11140840,0.14591180,-0.00812253,-0.04104343,0.00871315,-0.01319430,0.00090083,-0.00172838,-0.00075845,0.01704973,0.00310060,0.00279748,-0.00398438,0.00354085,-0.00934730,-0.00112803,0.00415830,0.00021075,0.00356465,-0.00389083,-0.00505928,0.00134385,0.00106483,0.00079573,-0.00272183
Hispano:Iberian:Port+Cast,0.10890770,0.14527555,0. 03821083,-0.00356183,0.04254030,-0.00276243,-0.00272728,0.00296645,0.02606743,0.03066045,-0.00147663,0.00784425,-0.01321000,-0.01173275,0.01191375,-0.00209938,-0.00376848,-0.00092383,-0.00404368,-0.00086768,0.00200650,-0.00114175,0.00071725,-0.00218058,-0.00101045
India,0.05425723,-0.05224190,-0.14531813,0.10516810,-0.07525927,0.06000990,0.00056697,0.01146813,0.0299 5450,0.01783713,-0.00570163,-0.00016823,-0.00002613,0.00110113,0.00060693,-0.00117137,-0.00384817,0.00066970,0.00074737,-0.00379923,0.00015303,-0.00049060,0.00129760,0.00150510,-0.00206300
Italian:Center,0.11701408,0.14925148,0.00917310,-0.02814708,0.02221933,-0.01003865,0.00044550,-0.00159775,0.00642820,0.02364700,0.00002603,0.0045 2040,-0.00955638,-0.00467495,-0.00375115,0.00052440,0.00259400,0.00045623,0.0023 5623,-0.00327855,-0.00208228,0.00226180,-0.00011475,0.00257140,-0.00120693
Iranic,0.08819270,0.10113475,-0.06562890,-0.02964950,-0.04627995,-0.00295545,0.00468410,-0.00464850,-0.02821040,-0.01373640,0.00216160,-0.00098600,0.00418345,-0.00166035,0.00498295,0.01070660,-0.00466300,0.00281875,0.00398130,-0.00991535,-0.00093175,-0.00418420,-0.00039000,-0.00518885,0.00490625
MiddleEast,0.05685165,0.12859275,-0.04813445,-0.06769060,-0.01581660,-0.02342100,-0.00406920,-0.00286015,0.00661045,-0.00050155,0.00442385,-0.00707060,0.01346310,-0.00017820,-0.00193140,0.00745640,-0.00185565,0.00011665,0.00003315,0.00229120,0.0015 7940,0.00151840,-0.00176365,0.00088215,-0.00121830
Palestinian/Jewish,0.08970675,0.15220263,-0.04970895,-0.08630155,-0.00821318,-0.02909195,-0.00308430,-0.00400938,0.01374138,0.01814400,0.00735825,-0.00407470,0.00702445,0.00651988,-0.00855050,0.00501358,-0.00108388,0.00259705,0.00276545,0.00053945,-0.00321313,0.00803751,0.00093205,0.00186763,0.0012 6450
Nordic:Scandinavian,0.13387755,0.12812600,0.070000 80,0.05487155,0.03977280,0.02123570,0.00562880,0.0 0779640,0.00531760,-0.00310225,-0.00426855,0.00259765,-0.00608450,-0.00776585,0.01803785,0.00670525,-0.00632675,0.00230450,0.00208300,0.00281375,0.0063 5490,0.00392150,0.00270265,0.01419580,0.00005980
Slav,0.13138390,0.12667805,0.06910955,0.05764665,0 .03918105,0.02150315,0.00872160,0.01108490,-0.00191195,-0.01982615,-0.00299075,-0.00703905,0.01422465,0.02013115,-0.00912990,-0.00082800,0.00311790,-0.00038630,0.00264685,0.00149370,-0.00381375,-0.00329875,0.00617250,-0.00369530,0.00031705
SSA,-0.600986,0.062455,0.014708,0.01179,0.002,0.00753,-0.012338,0.026537,0.002966,-0.02442,-0.002355,0.013338,-0.032036,0.003303,-0.035287,0.025921,-0.015255,-0.004371,-0.015272,0.006003,0.00287,-0.005132,-0.00302,0.000361,0.002215
Turkic,0.08279575,-0.04872655,-0.00773435,-0.00521585,-0.04090210,-0.00345510,0.00827315,0.00604885,-0.01586195,-0.01025075,-0.00767745,-0.00170265,0.00110940,-0.00557500,0.00308635,0.00607450,-0.00259560,0.00098765,-0.00011860,-0.00280345,-0.00721875,-0.00283710,-0.00430805,-0.00055895,0.00290500
Goths,0.136588,0.133034,0.078441,0.067507,0.056626 ,0.025658,0.020916,0.012692,0.016566,0.002369,-0.017376,0.007343,-0.002379,-0.005918,0.00665,0.011535,-0.010691,0.024198,-0.003268,0.015758,0.010357,0.000618,0.002465,0.006 266,-0.003353
Goths,0.137726,0.129988,0.070144,0.081719,0.045547 ,0.015339,0.003055,0.014076,0.005318,-0.017312,-0.015914,0.005095,-0.00892,0.001927,0.012486,0.009944,-0.015776,0.01761,-0.000628,0.007629,0.011979,0.004081,0.002465,0.024 341,0.007903
Goths,0.114961,0.131003,0.065619,0.04845,0.047701, 0.01506,0.00282,0.018692,0.006136,-0.020228,-0.010718,-0.013638,-0.000595,-0.009496,0.018458,0.010342,0.014342,0.006081,-0.013324,0.004877,0.016596,-0.013107,0.001232,0.00482,0.004191
Goths,0.119514,0.108662,0.05242,0.042636,0.036007, 0.001394,0.008225,0.000231,0.001636,-0.015126,-0.008119,-0.008542,-0.001041,-0.008808,0.009636,0.004641,0.025164,-0.001014,-0.013952,-0.00075,-0.005989,0.000247,-0.002711,0.012652,0.006826
Goths,0.134311,0.097491,0.074293,0.059755,0.046778 ,0.021753,0.015511,0.006923,0.008385,-0.021868,-0.010068,-0.006145,-0.014569,0.00234,0.02823,0.001458,-0.007171,0.007855,-0.001634,0.013131,0.026578,0.01014,0.005669,0.0153 03,0.010179
Goths,0.108132,0.137096,0.070899,0.055556,0.052933 ,0.020638,0.003055,0.010615,0.016975,-0.019499,0.002923,0.007943,-0.00446,-0.004404,-0.004072,0.019888,0.02021,-0.002027,-0.015461,0.01138,-0.000873,-0.007296,-0.001479,0.035547,0.011735
Goths,0.127482,0.125926,0.078441,0.053295,0.049548 ,0.023706,0.013631,0.006461,0.01084,-0.00893,-0.007145,0.004796,-0.011001,0.006606,0.03203,0.001326,-0.001304,0.014949,0.014204,0.008629,0.021462,-0.018301,0.000493,0.000241,-0.002275
Goths,0.144555,0.137096,0.06939,0.054587,0.018157, 0.023985,0.011751,0.004154,0.002045,-0.008383,-0.014615,-0.013038,0.003419,-0.007156,0.024022,0.005569,-0.008605,-0.005954,-0.002011,0.012006,0.011854,-0.008779,-0.003944,0.024943,0.003592
Goths,0.111547,0.12491,0.070522,0.062016,0.042469, 0.013108,0.007755,0.019384,-0.008795,-0.000364,0.007795,0.012289,-0.01115,-0.001927,0.010722,0.001193,-0.011083,0.013809,0.019357,-0.002751,0.013351,0.008903,-0.00456,0.008555,-0.022393

[Beowulf]

Eh hecho una calculadora(partes las tomé prestadas) con las muestras godas alguien la quiere probar?



mis resultados:
Target: VikingMallorca_scaled:K13&K15_sim
Distance: 0.8911% / 0.00891118
84.4 Hispano
12.0 Italian
2.0 Galo
1.6 Goths

el de mi madre:

Target: VikiingMallorcaSpain_mom
Distance: 0.5118% / 0.00511782
82.0 Hispano
13.4 Galo
2.4 Goths
2.2 Italian


Amerindian,0.056229,-0.269522,0.1111,0.087469,-0.09688,-0.016957,-0.273881,-0.327263,-0.01129,-0.012392,-0.004027,-0.002008,-0.002438,0.021937,-0.003664,0.008221,0.007745,-0.001824,-2.5e-05,0.000425,-0.001073,0.009224,0.000468,0.003519,-0.002155
Arabian,0.05059585,0.13995270,-0.06513990,-0.11723870,-0.00940130,-0.04997380,-0.01229238,-0.00808298,0.05608075,-0.00410653,0.01556333,-0.03192903,0.06243548,0.00350273,0.00455410,0.0252 5745,-0.02140830,0.00386218,0.00015448,0.02687405,0.0126 3658,0.01614353,-0.00905183,0.00697205,-0.00832413
Armenian,0.10509315,0.13768585,-0.05823490,-0.06060000,-0.03175850,-0.01561800,0.00589615,-0.00656435,-0.03826240,-0.00506190,0.00201840,0.00339870,-0.00773695,0.00172020,-0.00649520,-0.00460265,0.00474855,0.00030305,0.00022010,0.0008 9650,0.00294790,0.00317855,-0.00264765,-0.00425920,0.00036025
Balkan,0.12638157,0.13520087,0.04103063,0.01803417 ,0.03150327,0.00620067,0.00450420,0.00621514,0.001 42483,0.00096587,-0.00188910,-0.00109397,0.00282463,0.01096387,-0.01073077,-0.00273577,0.00497627,-0.00082773,0.00328490,-0.00291803,-0.00656340,-0.00225870,0.00450270,0.00035350,-0.00131333
Baltic,0.13419740,0.11830925,0.08826510,0.08638635 ,0.04299255,0.03189105,0.01198555,0.01426095,-0.00087945,-0.03266560,-0.00175390,-0.01308335,0.02134025,0.02636855,-0.00861145,0.00288380,0.00146670,-0.00143170,0.00147695,0.00325795,-0.00070510,-0.00379000,0.00666760,-0.00428965,0.00284405
Berber,-0.06548320,0.13410613,-0.00816420,-0.07538218,0.02581348,-0.03472953,-0.02944445,0.00831648,0.06752790,0.02796198,0.0070 7855,-0.00796418,0.02308645,-0.01552258,0.01677808,-0.01294335,-0.00285148,-0.02166338,-0.04415378,0.01019313,-0.01565483,-0.03933808,0.02467100,-0.00293920,0.00493865
anglo_sajon:English,0.13102565,0.13839775,0.061571 45,0.04359780,0.04056560,0.01657980,0.00420955,0.0 0606750,0.00587280,0.00632250,-0.00470165,0.00604745,-0.01316735,-0.01029915,0.02068505,0.00336205,-0.01144795,0.00310430,0.00372315,0.00310190,0.0053 7285,0.00363740,-0.00201385,0.01408045,0.00036125
Celta_Britanico,0.13228260,0.13575633,0.06116163,0 .04610647,0.03934567,0.01760073,0.00328790,0.00544 713,0.00432753,0.00329560,-0.00566140,0.00552183,-0.01298923,-0.01229210,0.02298907,0.00455140,-0.01034353,0.00244507,0.00212870,0.00159910,0.0047 9467,0.00279477,-0.00034153,0.01318237,0.00036833
Chinese,0.02574093,-0.44672400,0.00416373,-0.06463350,0.05351190,0.02476773,0.00551737,0.0020 7600,-0.01316077,0.00126697,-0.07530797,-0.01189107,0.01126457,-0.00655843,-0.00550930,0.00257083,0.00261210,0.00151403,0.0006 5540,-0.00996537,0.01280200,0.00725607,0.01069883,-0.00123393,-0.00250313
Galo:Center,0.12629375,0.14304605,0.04892535,0.018 49095,0.04218765,0.00665110,0.00122955,0.00398360, 0.01350490,0.02017300,-0.00508600,0.00708335,-0.01343755,-0.01002685,0.01103420,0.00377305,-0.00130630,0.00308060,0.00289040,-0.00059540,0.00202930,0.00365585,-0.00175740,0.00647840,-0.00099690
Georgian,0.10835960,0.13506550,-0.05811440,-0.05122780,-0.03449870,-0.00872940,0.01015250,-0.00519230,-0.05675520,-0.01525330,0.00121790,0.01150970,-0.02157060,0.00567000,-0.00108580,-0.02031270,0.00988310,-0.00392740,-0.00624710,0.01288120,0.00893410,0.00169400,-0.00067780,-0.00788050,-0.00144900
suevo,0.12967560,0.13619240,0.05618755,0.03572190, 0.03738955,0.01410635,0.00564820,0.00601530,0.0031 7670,0.00231755,-0.00414570,0.00157895,-0.00333240,0.00012160,0.00450770,0.00349405,-0.00152525,0.00122655,0.00327310,0.00127880,0.0010 7455,-0.00032490,0.00086965,0.00563395,-0.00037550
Greek,0.11140840,0.14591180,-0.00812253,-0.04104343,0.00871315,-0.01319430,0.00090083,-0.00172838,-0.00075845,0.01704973,0.00310060,0.00279748,-0.00398438,0.00354085,-0.00934730,-0.00112803,0.00415830,0.00021075,0.00356465,-0.00389083,-0.00505928,0.00134385,0.00106483,0.00079573,-0.00272183
Hispano:Iberian:Port+Cast,0.10890770,0.14527555,0. 03821083,-0.00356183,0.04254030,-0.00276243,-0.00272728,0.00296645,0.02606743,0.03066045,-0.00147663,0.00784425,-0.01321000,-0.01173275,0.01191375,-0.00209938,-0.00376848,-0.00092383,-0.00404368,-0.00086768,0.00200650,-0.00114175,0.00071725,-0.00218058,-0.00101045
India,0.05425723,-0.05224190,-0.14531813,0.10516810,-0.07525927,0.06000990,0.00056697,0.01146813,0.0299 5450,0.01783713,-0.00570163,-0.00016823,-0.00002613,0.00110113,0.00060693,-0.00117137,-0.00384817,0.00066970,0.00074737,-0.00379923,0.00015303,-0.00049060,0.00129760,0.00150510,-0.00206300
Italian:Center,0.11701408,0.14925148,0.00917310,-0.02814708,0.02221933,-0.01003865,0.00044550,-0.00159775,0.00642820,0.02364700,0.00002603,0.0045 2040,-0.00955638,-0.00467495,-0.00375115,0.00052440,0.00259400,0.00045623,0.0023 5623,-0.00327855,-0.00208228,0.00226180,-0.00011475,0.00257140,-0.00120693
Iranic,0.08819270,0.10113475,-0.06562890,-0.02964950,-0.04627995,-0.00295545,0.00468410,-0.00464850,-0.02821040,-0.01373640,0.00216160,-0.00098600,0.00418345,-0.00166035,0.00498295,0.01070660,-0.00466300,0.00281875,0.00398130,-0.00991535,-0.00093175,-0.00418420,-0.00039000,-0.00518885,0.00490625
MiddleEast,0.05685165,0.12859275,-0.04813445,-0.06769060,-0.01581660,-0.02342100,-0.00406920,-0.00286015,0.00661045,-0.00050155,0.00442385,-0.00707060,0.01346310,-0.00017820,-0.00193140,0.00745640,-0.00185565,0.00011665,0.00003315,0.00229120,0.0015 7940,0.00151840,-0.00176365,0.00088215,-0.00121830
Palestinian/Jewish,0.08970675,0.15220263,-0.04970895,-0.08630155,-0.00821318,-0.02909195,-0.00308430,-0.00400938,0.01374138,0.01814400,0.00735825,-0.00407470,0.00702445,0.00651988,-0.00855050,0.00501358,-0.00108388,0.00259705,0.00276545,0.00053945,-0.00321313,0.00803751,0.00093205,0.00186763,0.0012 6450
Nordic:Scandinavian,0.13387755,0.12812600,0.070000 80,0.05487155,0.03977280,0.02123570,0.00562880,0.0 0779640,0.00531760,-0.00310225,-0.00426855,0.00259765,-0.00608450,-0.00776585,0.01803785,0.00670525,-0.00632675,0.00230450,0.00208300,0.00281375,0.0063 5490,0.00392150,0.00270265,0.01419580,0.00005980
Slav,0.13138390,0.12667805,0.06910955,0.05764665,0 .03918105,0.02150315,0.00872160,0.01108490,-0.00191195,-0.01982615,-0.00299075,-0.00703905,0.01422465,0.02013115,-0.00912990,-0.00082800,0.00311790,-0.00038630,0.00264685,0.00149370,-0.00381375,-0.00329875,0.00617250,-0.00369530,0.00031705
SSA,-0.600986,0.062455,0.014708,0.01179,0.002,0.00753,-0.012338,0.026537,0.002966,-0.02442,-0.002355,0.013338,-0.032036,0.003303,-0.035287,0.025921,-0.015255,-0.004371,-0.015272,0.006003,0.00287,-0.005132,-0.00302,0.000361,0.002215
Turkic,0.08279575,-0.04872655,-0.00773435,-0.00521585,-0.04090210,-0.00345510,0.00827315,0.00604885,-0.01586195,-0.01025075,-0.00767745,-0.00170265,0.00110940,-0.00557500,0.00308635,0.00607450,-0.00259560,0.00098765,-0.00011860,-0.00280345,-0.00721875,-0.00283710,-0.00430805,-0.00055895,0.00290500
Goths,0.136588,0.133034,0.078441,0.067507,0.056626 ,0.025658,0.020916,0.012692,0.016566,0.002369,-0.017376,0.007343,-0.002379,-0.005918,0.00665,0.011535,-0.010691,0.024198,-0.003268,0.015758,0.010357,0.000618,0.002465,0.006 266,-0.003353
Goths,0.137726,0.129988,0.070144,0.081719,0.045547 ,0.015339,0.003055,0.014076,0.005318,-0.017312,-0.015914,0.005095,-0.00892,0.001927,0.012486,0.009944,-0.015776,0.01761,-0.000628,0.007629,0.011979,0.004081,0.002465,0.024 341,0.007903
Goths,0.114961,0.131003,0.065619,0.04845,0.047701, 0.01506,0.00282,0.018692,0.006136,-0.020228,-0.010718,-0.013638,-0.000595,-0.009496,0.018458,0.010342,0.014342,0.006081,-0.013324,0.004877,0.016596,-0.013107,0.001232,0.00482,0.004191
Goths,0.119514,0.108662,0.05242,0.042636,0.036007, 0.001394,0.008225,0.000231,0.001636,-0.015126,-0.008119,-0.008542,-0.001041,-0.008808,0.009636,0.004641,0.025164,-0.001014,-0.013952,-0.00075,-0.005989,0.000247,-0.002711,0.012652,0.006826
Goths,0.134311,0.097491,0.074293,0.059755,0.046778 ,0.021753,0.015511,0.006923,0.008385,-0.021868,-0.010068,-0.006145,-0.014569,0.00234,0.02823,0.001458,-0.007171,0.007855,-0.001634,0.013131,0.026578,0.01014,0.005669,0.0153 03,0.010179
Goths,0.108132,0.137096,0.070899,0.055556,0.052933 ,0.020638,0.003055,0.010615,0.016975,-0.019499,0.002923,0.007943,-0.00446,-0.004404,-0.004072,0.019888,0.02021,-0.002027,-0.015461,0.01138,-0.000873,-0.007296,-0.001479,0.035547,0.011735
Goths,0.127482,0.125926,0.078441,0.053295,0.049548 ,0.023706,0.013631,0.006461,0.01084,-0.00893,-0.007145,0.004796,-0.011001,0.006606,0.03203,0.001326,-0.001304,0.014949,0.014204,0.008629,0.021462,-0.018301,0.000493,0.000241,-0.002275
Goths,0.144555,0.137096,0.06939,0.054587,0.018157, 0.023985,0.011751,0.004154,0.002045,-0.008383,-0.014615,-0.013038,0.003419,-0.007156,0.024022,0.005569,-0.008605,-0.005954,-0.002011,0.012006,0.011854,-0.008779,-0.003944,0.024943,0.003592
Goths,0.111547,0.12491,0.070522,0.062016,0.042469, 0.013108,0.007755,0.019384,-0.008795,-0.000364,0.007795,0.012289,-0.01115,-0.001927,0.010722,0.001193,-0.011083,0.013809,0.019357,-0.002751,0.013351,0.008903,-0.00456,0.008555,-0.022393

[gixajo]

Eh hecho una calculadora(partes las tomé prestadas) con las muestras godas alguien la quiere probar?



3

¿Es un calculador que hice yo con 23 referencias customizadas+las muestras individuales godas de Kowalewko y las otras de Polonia? :confused:

Target: gixajo_scaled
Distance: 1.8967% / 0.01896662
79.4 Hispano
15.0 Galo
5.6 Goths

Target: gixajo_dad_scaled
Distance: 2.0815% / 0.02081505
93.4 Hispano
6.6 Italian

Target: gixajo_mom_scaled
Distance: 2.3391% / 0.02339058
76.6 Hispano
12.2 anglo_sajon
11.2 Goths

[Beowulf]

si era para probar comofuncionaba

pruebalo ahora asi eh dejado la muestra goda que era realmente escandinava:

Amerindian,0.056229,-0.269522,0.1111,0.087469,-0.09688,-0.016957,-0.273881,-0.327263,-0.01129,-0.012392,-0.004027,-0.002008,-0.002438,0.021937,-0.003664,0.008221,0.007745,-0.001824,-2.5e-05,0.000425,-0.001073,0.009224,0.000468,0.003519,-0.002155
Arabian,0.05059585,0.13995270,-0.06513990,-0.11723870,-0.00940130,-0.04997380,-0.01229238,-0.00808298,0.05608075,-0.00410653,0.01556333,-0.03192903,0.06243548,0.00350273,0.00455410,0.0252 5745,-0.02140830,0.00386218,0.00015448,0.02687405,0.0126 3658,0.01614353,-0.00905183,0.00697205,-0.00832413
Armenian,0.10509315,0.13768585,-0.05823490,-0.06060000,-0.03175850,-0.01561800,0.00589615,-0.00656435,-0.03826240,-0.00506190,0.00201840,0.00339870,-0.00773695,0.00172020,-0.00649520,-0.00460265,0.00474855,0.00030305,0.00022010,0.0008 9650,0.00294790,0.00317855,-0.00264765,-0.00425920,0.00036025
Balkan,0.12638157,0.13520087,0.04103063,0.01803417 ,0.03150327,0.00620067,0.00450420,0.00621514,0.001 42483,0.00096587,-0.00188910,-0.00109397,0.00282463,0.01096387,-0.01073077,-0.00273577,0.00497627,-0.00082773,0.00328490,-0.00291803,-0.00656340,-0.00225870,0.00450270,0.00035350,-0.00131333
Baltic,0.13419740,0.11830925,0.08826510,0.08638635 ,0.04299255,0.03189105,0.01198555,0.01426095,-0.00087945,-0.03266560,-0.00175390,-0.01308335,0.02134025,0.02636855,-0.00861145,0.00288380,0.00146670,-0.00143170,0.00147695,0.00325795,-0.00070510,-0.00379000,0.00666760,-0.00428965,0.00284405
Berber,-0.06548320,0.13410613,-0.00816420,-0.07538218,0.02581348,-0.03472953,-0.02944445,0.00831648,0.06752790,0.02796198,0.0070 7855,-0.00796418,0.02308645,-0.01552258,0.01677808,-0.01294335,-0.00285148,-0.02166338,-0.04415378,0.01019313,-0.01565483,-0.03933808,0.02467100,-0.00293920,0.00493865
anglo_sajon:English,0.13102565,0.13839775,0.061571 45,0.04359780,0.04056560,0.01657980,0.00420955,0.0 0606750,0.00587280,0.00632250,-0.00470165,0.00604745,-0.01316735,-0.01029915,0.02068505,0.00336205,-0.01144795,0.00310430,0.00372315,0.00310190,0.0053 7285,0.00363740,-0.00201385,0.01408045,0.00036125
Celta_Britanico,0.13228260,0.13575633,0.06116163,0 .04610647,0.03934567,0.01760073,0.00328790,0.00544 713,0.00432753,0.00329560,-0.00566140,0.00552183,-0.01298923,-0.01229210,0.02298907,0.00455140,-0.01034353,0.00244507,0.00212870,0.00159910,0.0047 9467,0.00279477,-0.00034153,0.01318237,0.00036833
Chinese,0.02574093,-0.44672400,0.00416373,-0.06463350,0.05351190,0.02476773,0.00551737,0.0020 7600,-0.01316077,0.00126697,-0.07530797,-0.01189107,0.01126457,-0.00655843,-0.00550930,0.00257083,0.00261210,0.00151403,0.0006 5540,-0.00996537,0.01280200,0.00725607,0.01069883,-0.00123393,-0.00250313
Galo:Center,0.12629375,0.14304605,0.04892535,0.018 49095,0.04218765,0.00665110,0.00122955,0.00398360, 0.01350490,0.02017300,-0.00508600,0.00708335,-0.01343755,-0.01002685,0.01103420,0.00377305,-0.00130630,0.00308060,0.00289040,-0.00059540,0.00202930,0.00365585,-0.00175740,0.00647840,-0.00099690
Georgian,0.10835960,0.13506550,-0.05811440,-0.05122780,-0.03449870,-0.00872940,0.01015250,-0.00519230,-0.05675520,-0.01525330,0.00121790,0.01150970,-0.02157060,0.00567000,-0.00108580,-0.02031270,0.00988310,-0.00392740,-0.00624710,0.01288120,0.00893410,0.00169400,-0.00067780,-0.00788050,-0.00144900
suevo,0.12967560,0.13619240,0.05618755,0.03572190, 0.03738955,0.01410635,0.00564820,0.00601530,0.0031 7670,0.00231755,-0.00414570,0.00157895,-0.00333240,0.00012160,0.00450770,0.00349405,-0.00152525,0.00122655,0.00327310,0.00127880,0.0010 7455,-0.00032490,0.00086965,0.00563395,-0.00037550
Greek,0.11140840,0.14591180,-0.00812253,-0.04104343,0.00871315,-0.01319430,0.00090083,-0.00172838,-0.00075845,0.01704973,0.00310060,0.00279748,-0.00398438,0.00354085,-0.00934730,-0.00112803,0.00415830,0.00021075,0.00356465,-0.00389083,-0.00505928,0.00134385,0.00106483,0.00079573,-0.00272183
Hispano:Iberian:Port+Cast,0.10890770,0.14527555,0. 03821083,-0.00356183,0.04254030,-0.00276243,-0.00272728,0.00296645,0.02606743,0.03066045,-0.00147663,0.00784425,-0.01321000,-0.01173275,0.01191375,-0.00209938,-0.00376848,-0.00092383,-0.00404368,-0.00086768,0.00200650,-0.00114175,0.00071725,-0.00218058,-0.00101045
India,0.05425723,-0.05224190,-0.14531813,0.10516810,-0.07525927,0.06000990,0.00056697,0.01146813,0.0299 5450,0.01783713,-0.00570163,-0.00016823,-0.00002613,0.00110113,0.00060693,-0.00117137,-0.00384817,0.00066970,0.00074737,-0.00379923,0.00015303,-0.00049060,0.00129760,0.00150510,-0.00206300
Italian:Center,0.11701408,0.14925148,0.00917310,-0.02814708,0.02221933,-0.01003865,0.00044550,-0.00159775,0.00642820,0.02364700,0.00002603,0.0045 2040,-0.00955638,-0.00467495,-0.00375115,0.00052440,0.00259400,0.00045623,0.0023 5623,-0.00327855,-0.00208228,0.00226180,-0.00011475,0.00257140,-0.00120693
Iranic,0.08819270,0.10113475,-0.06562890,-0.02964950,-0.04627995,-0.00295545,0.00468410,-0.00464850,-0.02821040,-0.01373640,0.00216160,-0.00098600,0.00418345,-0.00166035,0.00498295,0.01070660,-0.00466300,0.00281875,0.00398130,-0.00991535,-0.00093175,-0.00418420,-0.00039000,-0.00518885,0.00490625
MiddleEast,0.05685165,0.12859275,-0.04813445,-0.06769060,-0.01581660,-0.02342100,-0.00406920,-0.00286015,0.00661045,-0.00050155,0.00442385,-0.00707060,0.01346310,-0.00017820,-0.00193140,0.00745640,-0.00185565,0.00011665,0.00003315,0.00229120,0.0015 7940,0.00151840,-0.00176365,0.00088215,-0.00121830
Palestinian/Jewish,0.08970675,0.15220263,-0.04970895,-0.08630155,-0.00821318,-0.02909195,-0.00308430,-0.00400938,0.01374138,0.01814400,0.00735825,-0.00407470,0.00702445,0.00651988,-0.00855050,0.00501358,-0.00108388,0.00259705,0.00276545,0.00053945,-0.00321313,0.00803751,0.00093205,0.00186763,0.0012 6450
Nordic:Scandinavian,0.13387755,0.12812600,0.070000 80,0.05487155,0.03977280,0.02123570,0.00562880,0.0 0779640,0.00531760,-0.00310225,-0.00426855,0.00259765,-0.00608450,-0.00776585,0.01803785,0.00670525,-0.00632675,0.00230450,0.00208300,0.00281375,0.0063 5490,0.00392150,0.00270265,0.01419580,0.00005980
Slav,0.13138390,0.12667805,0.06910955,0.05764665,0 .03918105,0.02150315,0.00872160,0.01108490,-0.00191195,-0.01982615,-0.00299075,-0.00703905,0.01422465,0.02013115,-0.00912990,-0.00082800,0.00311790,-0.00038630,0.00264685,0.00149370,-0.00381375,-0.00329875,0.00617250,-0.00369530,0.00031705
SSA,-0.600986,0.062455,0.014708,0.01179,0.002,0.00753,-0.012338,0.026537,0.002966,-0.02442,-0.002355,0.013338,-0.032036,0.003303,-0.035287,0.025921,-0.015255,-0.004371,-0.015272,0.006003,0.00287,-0.005132,-0.00302,0.000361,0.002215
Turkic,0.08279575,-0.04872655,-0.00773435,-0.00521585,-0.04090210,-0.00345510,0.00827315,0.00604885,-0.01586195,-0.01025075,-0.00767745,-0.00170265,0.00110940,-0.00557500,0.00308635,0.00607450,-0.00259560,0.00098765,-0.00011860,-0.00280345,-0.00721875,-0.00283710,-0.00430805,-0.00055895,0.00290500
Goths,0.136588,0.133034,0.078441,0.067507,0.056626 ,0.025658,0.020916,0.012692,0.016566,0.002369,-0.017376,0.007343,-0.002379,-0.005918,0.00665,0.011535,-0.010691,0.024198,-0.003268,0.015758,0.010357,0.000618,0.002465,0.006 266,-0.003353

[Pedro Ruben]

Target: Pedro_scaled
Distance: 1.8365% / 0.01836548
65.4 Hispano
19.0 anglo_sajon
8.2 Berber
2.8 Balkan
2.2 Palestinian/Jewish
1.6 SSA
0.8 Amerindian

Target: Dad_scaled
Distance: 1.8974% / 0.01897433
78.0 Hispano
10.8 Berber
4.6 Baltic
4.4 Goths
1.6 SSA
0.4 Amerindian
0.2 Chinese

Target: Mom_scaled
Distance: 1.7556% / 0.01755625
82.0 Hispano
8.4 anglo_sajon
7.0 Galo
2.6 SSA

[Gallop]

Target: Gallop_scaled
Distance: 2.0111% / 0.02011078
96.0 Hispano:Iberianort+Cast
3.8 Goths
0.2 Berber

Target: Father_scaled
Distance: 2.4883% / 0.02488287
84.8 Hispano:Iberianort+Cast
8.4 Goths
4.2 Berber
2.6 Slav


Target: Gallop_scaled
Distance: 1.7389% / 0.01738922
58.0 Hispano:Iberianort+Cast
39.4 Father_scaled
2.6 Celta_Britanico

Target: Father_scaled
Distance: 2.0896% / 0.02089584
70.0 Gallop_scaled
11.4 Hispano:Iberianort+Cast
8.6 Balkan
5.4 Goths
4.4 Berber
0.2 Italian:Center

[PT Tagus]

Target: Endovelicus_scaled
Distance: 1.7191% / 0.01719123
81.0 Hispano
5.8 anglo_sajon
5.2 Arabian
5.2 Italian
2.8 SSA

[Beowulf]

alguien mas en my true ancestry obtuvo una muestra en polonia de la edad de hierro? creo que podrian ser los godos cuando vivian en gothiscandza (Reiðgotaland)

[Defcon2]

Estas calculadoras dan para lo que dan, las unicas novedades son que me restan del atlántico para metermelo en el Baltic o cosas así y que el SSA me lo rebaja para aumentar el NE Africa, pero me siguen dando puntuaciones relevantes de cosas como East Asian. Practicamente lo mismo.

New K13

Admix Results (sorted):

# Population Percent
1 North_Atlantic 37.33
2 West_Med 30.7
3 East_Med 11.96
4 Baltic 9.42
5 Sub-Saharan 2.36
6 Red_Sea 2.13
7 South_Asian 2.05
8 East_Asian 1.69
9 Northeast_African 1.25
10 West_Asian 0.84
11 Oceanian 0.18
12 Amerindian 0.1

Old K13

Admix Results (sorted):

# Population Percent
1 North_Atlantic 40.02
2 West_Med 30.16
3 East_Med 12.56
4 Baltic 7.8
5 Sub-Saharan 3.11
6 Red_Sea 2.29
7 South_Asian 2.03
8 East_Asian 1.31
9 Oceanian 0.73

New K15

Admix Results (sorted):

# Population Percent
1 Atlantic 30.8
2 West_Med 25.09
3 North_Sea 16.84
4 East_Med 9.19
5 Baltic 4.9
6 Eastern_Euro 3.29
7 Red_Sea 2.19
8 Sub-Saharan 2.17
9 Northeast_African 1.69
10 South_Asian 1.65
11 Southeast_Asian 1.3
12 West_Asian 0.69
13 Oceanian 0.2

Old K15

Admix Results (sorted):

# Population Percent
1 Atlantic 31.42
2 West_Med 25.52
3 North_Sea 19.5
4 East_Med 9.71
5 Sub-Saharan 3.2
6 Eastern_Euro 2.58
7 Baltic 2.38
8 Red_Sea 2.28
9 South_Asian 1.94
10 Southeast_Asian 0.74
11 Oceanian 0.69
12 Northeast_African 0.05

[Gallop]

alguien mas en my true ancestry obtuvo una muestra en polonia de la edad de hierro? creo que podrian ser los godos cuando vivian en gothiscandza (Reiðgotaland)

Mis resultados con el Hierro, que debe ser similar al que obtendrían el resto de españoles, se ve muy celta, celtíbero.

Un pilar importante en nuestra huella genética.

1. Iron Age Smiljan Croatia
840 BC - Genetic Distance: 8.089 - I23911
15. Iron Age Gyor-Moson-Sopron Hungary
260 BC - Genetic Distance: 9.723 - I18489
16. Iron Age Kapiteljska njive Slovenia
665 BC - Genetic Distance: 9.743 - I5691
17. Iron Age Poltenbrunn Lower Austria
350 BC - Genetic Distance: 9.89 - I11701
18. Iron Age Teplice Czech Republic
250 BC - Genetic Distance: 9.971 - I17139
29. Iron Age Grofove njive Slovenia
390 BC - Genetic Distance: 10.42 - I22938
35. Iron Age Smiljan Croatia
690 BC - Genetic Distance: 10.89 - I24638
41. Iron Age Roquepertuse Bouches-du-Rhone France
300 BC - Genetic Distance: 11.14 - I19917
43. Iron Age Zamardi Somogy Hungary
200 BC - Genetic Distance: 11.18 - I25519
56. Iron Age Campiglia dei Foci Siena Italy
660 BC - Genetic Distance: 11.61 - CAM001
61. Iron Age Croatia Velim-Kosa
500 BC - Genetic Distance: 11.77 - I24345
64. Iron Age Teplice Cemetery Czech Republic
235 BC - Genetic Distance: 11.82 - I15953
73. Iron Age Vas County Hungary
310 BC - Genetic Distance: 12.15 - I25508
79. Iron Age Teplice Cemetery I Czech
305 BC - Genetic Distance: 12.28 - I17145
82. Iron Age Celtic Hungary Gyor-Moson-Sopron
250 BC - Genetic Distance: 12.35 - I18530
84. Casenovole Etruscan Iron Age Italy
400 BC - Genetic Distance: 12.41 - CSN005
85. Iron Age Kesznyeten-Szeruskert Hungary
480 BC - Genetic Distance: 12.43 - I20768
89. Casenovole Etruscan Iron Age Italy
292 BC - Genetic Distance: 12.55 - CSN003
93. Iron Age Prague Central Bohemia
300 BC - Genetic Distance: 12.61 - I17323
94. Iron Age Catalan
620 BC - Genetic Distance: 12.63 - I12640
98. Celtic La Tene Iron Age Teplice Czech
330 BC - Genetic Distance: 12.68 - I15954
100. Early Iron Age Fuzesabony-Kettos-halom Hungary
775 BC - Genetic Distance: 12.75 - I18213
105. Iron Age Slovenia
500 BC - Genetic Distance: 12.81 - I5698
108. Casenovole Etruscan Iron Age Italy
400 BC - Genetic Distance: 12.93 - CSN012
110. Iron Age Smiljan Croatia
740 BC - Genetic Distance: 12.99 - I23995
113. Iron Age Zamardi Somogy Hungary
200 BC - Genetic Distance: 13.13 - I25516
118. Iron Age Campiglia dei Foci Siena Italy
655 BC - Genetic Distance: 13.31 - CAM003
119. Iron Age Celtic Hungary Gyor-Moson-Sopron
250 BC - Genetic Distance: 13.32 - I18526
124. Iron Age Teplice Czech Republic
330 BC - Genetic Distance: 13.4 - I15046
135. Iron Age Teplice Cemetery I Czech Republic
235 BC - Genetic Distance: 13.53 - I15047
136. Iron Age Zamardi Somogy Hungary
200 BC - Genetic Distance: 13.54 - I25510
139. Iron Age Roquepertuse Bouches-du-Rhone France
300 BC - Genetic Distance: 13.56 - I19918
147. Iron Age Gyor-Moson-Sopron Hungary
260 BC - Genetic Distance: 13.65 - I18488
148. Late Iron Age Cantabrian Spain PMB
80 BC - Genetic Distance: 13.65 - I19990
152. Iron Age Buerckelmatt Nordhouse France
750 BC - Genetic Distance: 13.74 - NOR2B6
155. Iron Age Celtic Hungary Gyor-Moson-Sopron
250 BC - Genetic Distance: 13.82 - I18528
160. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 13.86 - I21403
167. Iron Age Vekerzug Komarno Slovakia
575 BC - Genetic Distance: 13.9 - I12110
168. Iron Age Campiglia dei Foci Siena Italy
645 BC - Genetic Distance: 13.9 - CAM002
175. Iron Age Teplice Czech Republic
280 BC - Genetic Distance: 13.97 - I14985
177. Iron Age Magliano in Toscana Italy
650 BC - Genetic Distance: 14.0 - MAG001
188. Iron Age Zamardi Somogy Hungary
200 BC - Genetic Distance: 14.18 - I25518
199. Iron Age Hallstatt Lovosice NW Bohemia
550 BC - Genetic Distance: 14.34 - I14980
202. Iron Age Vas County Hungary
900 BC - Genetic Distance: 14.36 - I25504
211. Iron Age Celtic Hungary Gyor-Moson-Sopron
250 BC - Genetic Distance: 14.47 - I18529
215. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 14.51 - I21402
217. Iron Age Vas County Hungary
299 BC - Genetic Distance: 14.52 - I4998
218. Iron Age Gyor-Moson-Sopron Hungary
260 BC - Genetic Distance: 14.54 - I18492
227. Iron Age Prague Jinonice Central Bohemia
300 BC - Genetic Distance: 14.62 - I16271
239. Iron Age Ilercavones Catalan
200 BC - Genetic Distance: 14.74 - I3321B
241. Iron Age Rowbarrow Wiltshire England
660 BC - Genetic Distance: 14.75 - I19867
243. Iron Age Skradnik-Sultanov Croatia
490 BC - Genetic Distance: 14.81 - I24879
247. Iron Age Prescythian Mezocsat Hungary
775 BC - Genetic Distance: 14.88 - I11683
248. Iron Age Zamardi Somogy Hungary
200 BC - Genetic Distance: 14.9 - I25512
259. Iron Age Carsington Pasture Cave Derbyshire England
580 BC - Genetic Distance: 15.05 - I12774
277. Iron Age Teplice Czech Republic
250 BC - Genetic Distance: 15.3 - I15043
281. Celtic Iron Age Teplice Czech Republic
250 BC - Genetic Distance: 15.36 - I17143
283. Iron Age Grofove njive Slovenia
390 BC - Genetic Distance: 15.36 - I22937
288. Iron Age Vekerzug Komarno Slovakia
575 BC - Genetic Distance: 15.42 - I14465
290. Iron Age Erstein France
250 BC - Genetic Distance: 15.45 - ERS86
313. Iron Age Hill Fort Fin Cop Derbyshire England
200 BC - Genetic Distance: 15.86 - I20634
316. Late Iron Age Cantabrian Spain PMB
100 BC - Genetic Distance: 15.89 - I19991
324. Iron Age zagorje ob Savi Slovenia
420 BC - Genetic Distance: 15.97 - I22940
325. Iron Age Teplice Czech Republic
390 BC - Genetic Distance: 15.98 - I15048
331. Iron Age Teplice Czech Republic
280 BC - Genetic Distance: 16.01 - I14988
338. Iron Age Vekerzug Komarno Slovakia
575 BC - Genetic Distance: 16.21 - I1172
350. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 16.31 - I21399
362. Elite Rich Female Iron Age Teplice Czech Republic
360 BC - Genetic Distance: 16.41 - I15952
370. Iron Age Rowbarrow Wiltshire England
421 BC - Genetic Distance: 16.49 - I19863
375. Celtic Iron Age Jasz-Nagykun-Szolnok Hungary
200 BC - Genetic Distance: 16.53 - I18220
378. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 16.57 - I20827
379. Iron Age Vas County Hungary
296 BC - Genetic Distance: 16.57 - I4996
382. Iron Age Prague Central Bohemia
300 BC - Genetic Distance: 16.58 - I17321
384. Iron Age Vas County Hungary
900 BC - Genetic Distance: 16.58 - I25505
386. Iron Age Catalan
680 BC - Genetic Distance: 16.61 - I12641
391. Iron Age Vas County Hungary
600 BC - Genetic Distance: 16.66 - I25507
396. Elite Iron Age Warrior Bohemia Radosevice
250 BC - Genetic Distance: 16.69 - I15042
399. Iron Age Gyor-Moson-Sopron Hungary
260 BC - Genetic Distance: 16.71 - I18491
401. Iron Age Prescythian Mezocsat Hungary
775 BC - Genetic Distance: 16.72 - I18246
408. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 16.85 - I19363
412. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 16.93 - I20811
417. Iron Age Teplice Czech
1050 BC - Genetic Distance: 16.98 - I13781
429. Iron Age Buerckelmatt Nordhouse France
550 BC - Genetic Distance: 17.16 - NOR4
431. Iron Age Prague Jinonice Central Bohemia
300 BC - Genetic Distance: 17.17 - I20504
434. Early Iron Age Fuzesabony-Kettos-halom Hungary
775 BC - Genetic Distance: 17.19 - I18211
437. Iron Age Kesznyeten-Szeruskert Hungary
480 BC - Genetic Distance: 17.21 - I20746
439. Iron Age Prague Central Bohemia
300 BC - Genetic Distance: 17.24 - I17315
440. Iron Age Prague Central Bohemia
300 BC - Genetic Distance: 17.24 - I17324
445. Iron Age Grofove njive Slovenia
575 BC - Genetic Distance: 17.31 - I5690
446. Iron Age Grofove njive Slovenia
575 BC - Genetic Distance: 17.31 - I5689
456. Iron Age Teplice Cemetery I Czech Republic
235 BC - Genetic Distance: 17.42 - I15039
470. Iron Age Celtic Hungary Gyor-Moson-Sopron
250 BC - Genetic Distance: 17.51 - I18527
474. Iron Age Obrezje Slovenia
301 BC - Genetic Distance: 17.57 - I5696
483. Iron Age Gyor-Moson-Sopron Hungary
250 BC - Genetic Distance: 17.7 - I18110
486. Iron Age Dibbles Farm Somerset England
100 BC - Genetic Distance: 17.76 - I17017
502. Iron Age Gyor-Moson-Sopron Hungary
260 BC - Genetic Distance: 17.91 - I18490
515. Iron Age Teplice Czech Republic
280 BC - Genetic Distance: 18.07 - I14986
517. Celtic Iron Age Polaky Czech
550 BC - Genetic Distance: 18.1 - I15071
519. Iron Age Vekerzug Komarno Slovakia
575 BC - Genetic Distance: 18.13 - I12099
520. Iron Age Teplice Czech Republic
280 BC - Genetic Distance: 18.16 - I14984
521. Iron Age Oxfordshire Yarnton England
300 BC - Genetic Distance: 18.16 - I20587
526. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 18.19 - I19358
528. Iron Age Hallstatt Lovosice NW Bohemia
550 BC - Genetic Distance: 18.23 - I14983
530. Celtic Iron Age Bratislava Slovakia
95 BC - Genetic Distance: 18.25 - I11713
538. Late Iron Age Bratislava Slovakia
15 BC - Genetic Distance: 18.35 - I11710
545. Iron Age Hallstatt Northwest Bohemia
550 BC - Genetic Distance: 18.46 - I16088
549. Iron Age Slovenia
500 BC - Genetic Distance: 18.51 - I5697
558. Iron Age Celt Prague Central Bohemia
300 BC - Genetic Distance: 18.6 - I17320
563. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 18.64 - I20815
576. Iron Age Oxfordshire Yarnton England
300 BC - Genetic Distance: 18.82 - I20588
592. Elite Iron Age Warrior Bohemia Radosevice
305 BC - Genetic Distance: 19.01 - I17146
596. Casenovole Etruscan Iron Age Italy
400 BC - Genetic Distance: 19.06 - CSN007
599. Iron Age Elite Warrior Prague Central Bohemia
300 BC - Genetic Distance: 19.08 - I20519
600. Iron Age Komarom-Esztergom Hungary
530 BC - Genetic Distance: 19.09 - I18227
610. Iron Age Prague Jinonice Central Bohemia
300 BC - Genetic Distance: 19.22 - I20522
614. Iron Age Latin Chiusi Siena Italy
790 BC - Genetic Distance: 19.27 - ETR005
623. Iron Age Buerckelmatt Nordhouse France
750 BC - Genetic Distance: 19.39 - NOR3-15
632. Iron Age Casterley Camp Wiltshire England
290 BC - Genetic Distance: 19.53 - I21313
635. Iron Age Casterley Camp Wiltshire England
190 BC - Genetic Distance: 19.57 - I21312
640. Iron Age Celtic Hungary Jasz-Nagykun-Szolnok
235 BC - Genetic Distance: 19.6 - I18181
642. Iron Age Gelderland Netherlands
97 AD - Genetic Distance: 19.61 - I11631
643. Iron Age Warrior Prague Central Bohemia
300 BC - Genetic Distance: 19.62 - I17314
644. Iron Age Barton-Stacey Pipeline Hampshire England
208 BC - Genetic Distance: 19.63 - I13717
648. Iron Age Briton Dibbles Farm Somerset England
180 BC - Genetic Distance: 19.66 - I17016
652. Iron Age Vekerzug Komarno Slovakia
575 BC - Genetic Distance: 19.71 - I11717
668. Celtic La Tene Iron Age Bratislava Slovakia
95 BC - Genetic Distance: 19.91 - I11715
677. Iron Age Kesznyeten-Szeruskert Hungary
480 BC - Genetic Distance: 19.99 - I20767
679. Iron Age Oxfordshire Yarnton England
240 BC - Genetic Distance: 20.02 - I19210
692. Iron Age Teplice Czech Republic
280 BC - Genetic Distance: 20.14 - I20518
696. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 20.2 - I19356
697. Iron Age Long Bredy Dorset England
550 BC - Genetic Distance: 20.21 - I27382
703. Late Iron Age Cantabrian Spain PMB
80 BC - Genetic Distance: 20.3 - I19988
704. Iron Age Boii Tribe Singen am Hohentwiel
597 BC - Genetic Distance: 20.32 - MX265
705. Late Iron Age Sittingbourne Kent England
35 AD - Genetic Distance: 20.33 - I18599
718. Late Iron Age East Kent England
300 BC - Genetic Distance: 20.5 - I9870
722. Iron Age Worlebury Somerset England
150 BC - Genetic Distance: 20.54 - I11991
730. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 20.67 - I20812
739. Iron Age Rowbarrow Wiltshire England
660 BC - Genetic Distance: 20.76 - I19861
742. Iron Age Prague Central Bohemia
300 BC - Genetic Distance: 20.85 - I17325
747. Iron Age Briton Worlebury Camp Somerset England
200 BC - Genetic Distance: 20.89 - I11143
748. Iron Age Oxfordshire Yarnton England
600 BC - Genetic Distance: 20.89 - I20585
749. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 20.91 - I21931
755. Iron Age Hill Fort Fin Cop Derbyshire England
290 BC - Genetic Distance: 20.96 - I20620
757. Iron Age Hill Fort Suddern Farm Hampshire England
250 BC - Genetic Distance: 21.0 - I20984
761. Early Iron Age Sussex Surrendon Road England
544 BC - Genetic Distance: 21.02 - I16618
762. Iron Age Catalan
600 BC - Genetic Distance: 21.04 - I12642
772. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 21.11 - I19360
776. Iron Age Rowbarrow Wiltshire England
530 BC - Genetic Distance: 21.16 - I13689
780. Early Iron Age Stockbridge Hampshire England
560 BC - Genetic Distance: 21.2 - I17259
787. Iron Age Worlebury Somerset England
200 BC - Genetic Distance: 21.29 - I13726
789. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 21.29 - I21400
792. Late Iron Age East Kent England
300 BC - Genetic Distance: 21.34 - I19873
809. Iron Age Gyor-Moson-Sopron Hungary
260 BC - Genetic Distance: 21.51 - I18493
811. Iron Age Long Bredy Dorset England
550 BC - Genetic Distance: 21.52 - I27383
818. Iron Age Casterley Camp Wiltshire England
190 BC - Genetic Distance: 21.6 - I21314
847. Iron Age Rowbarrow Wiltshire England
595 BC - Genetic Distance: 21.86 - I19862
861. Iron Age Zeeland Veere Holland
198 BC - Genetic Distance: 21.97 - I12906
862. Iron Age Vekerzug Komarno Slovakia
575 BC - Genetic Distance: 22.0 - I12105
868. Iron Age Vekerzug Komarno Slovakia
575 BC - Genetic Distance: 22.04 - I12107
869. Iron Age Rowbarrow Wiltshire England
640 BC - Genetic Distance: 22.06 - I13688
870. Iron Age Mezokeresztes-Cethalom Hungary
613 BC - Genetic Distance: 22.06 - I20748
879. Late Iron Age Thornholme Yorkshire Britain
33 AD - Genetic Distance: 22.11 - I22062
887. Iron Age Riduna Channel Islands
576 BC - Genetic Distance: 22.15 - I26630
890. Late Iron Age Briton North Perrott Somerset Britain
75 BC - Genetic Distance: 22.19 - I11145
894. Late Iron Age Cantabrian Spain PMB
80 BC - Genetic Distance: 22.25 - I19987
899. Iron Age La Monderiere Bessan
125 BC - Genetic Distance: 22.33 - BES1248
905. Iron Age Briton Thornholme East Riding of Yorkshire
280 BC - Genetic Distance: 22.38 - I22055
911. Late Iron Age East Kent England
50 BC - Genetic Distance: 22.42 - I19870
912. Iron Age Trumpington Meadows Cambridgeshire England
360 BC - Genetic Distance: 22.43 - I13729
915. Iron Age Cambridgeshire England
296 BC - Genetic Distance: 22.44 - I19045
917. Late Iron Age Hillfort South Cadbury Somerset Britain
35 AD - Genetic Distance: 22.46 - I21302
935. Iron Age Zamardi Somogy Hungary
200 BC - Genetic Distance: 22.59 - I25522
940. Iron Age Chemin de Coupetz Marne France
250 BC - Genetic Distance: 22.68 - I19357
941. Iron Age Cliffs End Farm England
203 BC - Genetic Distance: 22.7 - I14380
944. Late Iron Age Somerset Priddy Britain
10 AD - Genetic Distance: 22.73 - I5365

[Beowulf]

son como los mios solo que yo tengo mas cercanos algunas muestras galas como la de nordhouse burckelmatt

[Beowulf]

es el eurogenes k47 preciso? yo creo que si, pondré mis resultados:

el mio:
Kushitic
0.00%
North Iberian
14.36%
East Iberian
6.65%
Tibeto Burman
0.00%
North African
4.43%
South Caucasian
3.58%
North Caucasian
0.00%
Paleo Balkan
8.03%
Turkic Altai
0.00%
Proto Austronesian
0.00%
Nilotic
0.46%
East Mediterranean
11.05%
Omotic
0.00%
Munda
0.00%
North Amerind
0.00%
Arabic
1.83%
East European
1.00%
Central African Hunter Gatherer
0.52%
Andean
0.00%
Indo Chinese
0.00%
South Indian
0.00%
North East Asian
0.00%
Volgan
0.00%
Mongolian
0.00%
Siberian
0.00%
North Sea Germanic
2.84%
Celtic
8.64%
West African
0.00%
West Finnic
0.00%
Uralic
0.00%
Sahelian
0.00%
North West Indian
0.68%
East African Hunter Gatherer
0.00%
East Asian
0.00%
Amuro Manchurian
0.00%
Scando Germanic
4.88%
Iranian
0.00%
South African Hunter Gatherer
0.00%
Amazonian
0.00%
Baltic
8.13%
Malay
0.00%
Meso Amerind
0.00%
South Chinese
0.00%
Papuan
0.00%
West Mediterranean
14.62%
Pamirian
0.00%
Central Mediterranean
8.30%

el de mi padre:

Population
Percentage
Kushitic
1.13%
North Iberian
21.23%
East Iberian
6.27%
Tibeto Burman
0.00%
North African
4.83%
South Caucasian
0.12%
North Caucasian
0.00%
Paleo Balkan
4.62%
Turkic Altai
0.00%
Proto Austronesian
0.00%
Nilotic
0.00%
East Mediterranean
10.85%
Omotic
0.00%
Munda
0.00%
North Amerind
0.00%
Arabic
1.67%
East European
0.00%
Central African Hunter Gatherer
0.00%
Andean
0.00%
Indo Chinese
0.00%
South Indian
0.00%
North East Asian
0.00%
Volgan
0.78%
Mongolian
0.00%
Siberian
0.00%
North Sea Germanic
3.68%
Celtic
8.71%
West African
0.00%
West Finnic
4.75%
Uralic
0.00%
Sahelian
0.00%
North West Indian
0.48%
East African Hunter Gatherer
0.00%
East Asian
0.00%
Amuro Manchurian
0.00%
Scando Germanic
7.58%
Iranian
0.00%
South African Hunter Gatherer
0.00%
Amazonian
0.00%
Baltic
2.84%
Malay
0.00%
Meso Amerind
0.00%
South Chinese
0.00%
Papuan
0.00%
West Mediterranean
14.65%
Pamirian
0.50%
Central Mediterranean
5.31%

el de mi madre:

Population
Percentage
Kushitic
0.00%
North Iberian
10.86%
East Iberian
7.77%
Tibeto Burman
0.00%
North African
2.81%
South Caucasian
4.44%
North Caucasian
0.00%
Paleo Balkan
5.05%
Turkic Altai
0.00%
Proto Austronesian
0.00%
Nilotic
0.00%
East Mediterranean
7.54%
Omotic
0.00%
Munda
0.00%
North Amerind
0.00%
Arabic
2.82%
East European
6.57%
Central African Hunter Gatherer
0.00%
Andean
0.00%
Indo Chinese
0.00%
South Indian
0.00%
North East Asian
0.00%
Volgan
0.00%
Mongolian
0.00%
Siberian
1.47%
North Sea Germanic
3.21%
Celtic
13.57%
West African
0.00%
West Finnic
0.00%
Uralic
0.00%
Sahelian
0.00%
North West Indian
0.00%
East African Hunter Gatherer
0.00%
East Asian
0.00%
Amuro Manchurian
0.00%
Scando Germanic
4.13%
Iranian
0.00%
South African Hunter Gatherer
0.77%
Amazonian
0.00%
Baltic
7.50%
Malay
0.00%
Meso Amerind
0.00%
South Chinese
0.00%
Papuan
0.00%
West Mediterranean
15.51%
Pamirian
0.00%
Central Mediterranean
5.98%

[Ruderico]

es el eurogenes k47 preciso? yo creo que si, pondré mis resultados:

Cuantos más componentes, menos preciso es. Cuanto menos componentes, menor resolución tiene. En estas pruebas de Eurogenes el K13 y K15 son claramente los que tienen mejor relación entre fiabilidad y resolución. Esto no significa que los otros son inútiles, pero hay que estar un poco escéptico con los resultados.

[Defcon2]

Solo 23% de Yamnaya, aunque creo que se ajusta más a la realidad.

https://i.imgur.com/24V16JQ.jpg

Ya puestos el Roman de ph2ter en mapa:

https://i.imgur.com/NtMuxGw.jpg

Enlace a los calculos:

https://www.exploreyourdna.com/map.aspx

[gixajo]

Debo ser la quintaesencia del Hispanorromano.:confused:

https://i.postimg.cc/xdM4kSHy/pseudoroman.png (https://postimages.org/)

[Beowulf]

los de ancestry pero con G25:

https://www.theapricity.com/forum/showthread.php?314746-Gen%E9tica-de-espa%F1oles-e-hispanoamericanos/page550

[Beowulf]

el de ancestry pero G25:

[IMG] https://imgur.com/a/s9WGuOt [IMG]

[Defcon2]

Qué significa lo de Snps privados en Yfull y cuántos tenéis quienes os habéis metido allí?

Dejo los míos.

https://i.imgur.com/IItcHzJ.jpg

[gixajo]

Qué significa lo de Snps privados en Yfull y cuántos tenéis quienes os habéis metido allí?

Dejo los míos.

]

No estoy seguro pero creo que son SNPs que hasta ahora solo se han encontrado en tí, que por el momento no compartes con nadie, pero que forman parte de tu marcador patrilineal, y que en un futuro si alguien más los tiene podrían formar un subclado nuevo.

https://i.postimg.cc/qM2WtQWC/snpsprivados.png (https://postimages.org/)

[HelloGuys]

Me alegro informar que recibí los resultados de mis abuelos maternos!! Fue hace como 2 días y les comparto sus G25 aquí:

*Modelo de Davidski:

Target: Abuelo_Materno_scaled
Distance: 2.4547% / 0.02454673
32.8 BRA_LapaDoSanto_9600BP
23.2 TUR_Barcin_N
15.8 Yamnaya_RUS_Samara
13.6 TUR_Tepecik_Ciftlik_N
5.8 WHG
3.6 MAR_Taforalt
2.2 Han
1.8 Yoruba
0.8 Dinka
0.4 IRN_Ganj_Dareh_N

Target: Abuela_Materna_scaled
Distance: 2.4696% / 0.02469555
36.0 BRA_LapaDoSanto_9600BP
24.2 TUR_Barcin_N
13.2 Yamnaya_RUS_Samara
9.8 TUR_Tepecik_Ciftlik_N
7.4 WHG
4.8 MAR_Taforalt
2.0 ETH_4500BP
2.0 Yoruba
0.6 Han


*Mi modelo:

Target: Abuelo_Materno_scaled
Distance: 2.4385% / 0.02438487
35.6 Anatolian_Neolithic_Farmer
33.0 South_Amerindian_Hunter-Gatherer
16.4 Yamnaya_Steppe_Pastoralist
4.8 Western_Hunter-Gatherer
4.0 Iberomaurusian
2.4 Central_African_Hunter-Gatherer
2.2 Early_Austronesian
1.6 Iranian_Neolithic_Farmer

Target: Abuela_Materna_scaled
Distance: 2.4305% / 0.02430453
36.0 South_Amerindian_Hunter-Gatherer
32.4 Anatolian_Neolithic_Farmer
15.0 Yamnaya_Steppe_Pastoralist
6.0 Western_Hunter-Gatherer
5.0 Iberomaurusian
2.8 Central_African_Hunter-Gatherer
1.4 Natufian_Hunter-Gatherer
0.8 Southern_African_Hunter-Gatherer
0.6 Chinese_Yellow_River_Farmer

Parece que mi abuelo tiene algo de filipino realmente y mi abuela lo judío, la verdad yo pensé que era al revés pero resultó que no fue así jaja

[Beowulf]

calculadora de provincias romanas con G25:

madre:

Population Percentage
Hispania 42.00%
Aquitania 21.20%
Gallia 9.80%
Aegyptus 8.60%
Britannia 7.80%
Byzantium\Graeco-Romanum 2.80%
Germania 2.20%
Sardinia 2.20%
Italia 2.00%
Scatinavia 1,40%


yo:

Population Percentage
Hispania 48.20%
Aquitania 20.40%
Gallia 13.60%
Aegyptus 6.20%
Achaea 4.00%
Britannia 3.20%
Sardinia 2.80%
Asia 0.80%
Parthia 0.80%

padre:

Population Percentage
Hispania 48.20%
Gallia 22.80%
Aquitania 11.60%
Sardinia 8.20%
Italia 5.20%
Achaea 3.40%
Aegyptus 0.60%

[Defcon2]

Asturiano y gitano.

0.027 Defcon2_scaled = 85% Spanish_Asturias + 15% Roma_Porto

Herramienta de dos vías en G25, ya sabréis como funciona los que ya habéis trasteado con este tipo de cosas:

https://output.jsbin.com/gojecoh

[HelloGuys]

Asturiano y gitano.

0.027 Defcon2_scaled = 85% Spanish_Asturias + 15% Roma_Porto

Herramienta de dos vías en G25, ya sabréis como funciona los que ya habéis trasteado con este tipo de cosas:

https://output.jsbin.com/gojecoh

Interesante; puro componente extremeño en nuestro lado español xdd la referencia indígena la tomé prestada de un modelo que hizo Gixajo.

0.043 HelloGuys_scaled = 61% Spanish_Extremadura + 39% Central_America:Mayan+Zapotec+Mixtec

0.036 Hermana_scaled = 60% Spanish_Extremadura + 40% Central_America:Mayan+Zapotec+Mixtec

0.028 Papá_scaled = 55% Spanish_Extremadura + 45% Central_America:Mayan+Zapotec+Mixtec

0.044 Mamá_scaled = 62% Spanish_Extremadura + 38% Central_America:Mayan+Zapotec+Mixtec

0.034 Abuelo_Materno_scaled = 64% Spanish_Extremadura + 36% Central_America:Mayan+Zapotec+Mixtec

0.042 Abuela_Materna_scaled = 61% Spanish_Extremadura + 39% Central_America:Mayan+Zapotec+Mixtec

[gixajo]

Anthrogenica vuelve a funcionar, por cierto.

[gixajo]

Asturiano y gitano.

0.027 Defcon2_scaled = 85% Spanish_Asturias + 15% Roma_Porto

Herramienta de dos vías en G25, ya sabréis como funciona los que ya habéis trasteado con este tipo de cosas:

rl]
¿Has puesto los modern averages en source, no? Es que me venía por defecto las sources del ancient sntandard de Davidsky.

[gixajo]

0.015 gixajo_scaled = 60% Spanish_Aragon_North + 40% Spanish_Castilla_Y_Leon
0.015 gixajo_scaled = 59% Spanish_Aragon_North + 41% Spanish_Andalucia
0.015 gixajo_scaled = 63% Spanish_Eivissa + 37% Basque_Lower_Navarre

0.018 gixajo_dad_scaled = 87% Portuguese + 13% Sardinian
0.019 gixajo_dad_scaled = 85% Spanish_Galicia + 15% Sardinian
0.019 gixajo_dad_scaled = 90% Spanish_Andalucia + 10% Sardinian

0.015 gixajo_mom_scaled = 65% Spanish_Pais_Vasco + 35% Spanish_Castilla_Y_Leon
0.015 gixajo_mom_scaled = 62% Basque_Araba + 38% Spanish_Castilla_Y_Leon
0.015 gixajo_mom_scaled = 60% Basque_French + 40% Spanish_Castilla_Y_Leon

[Defcon2]

¿Has puesto los modern averages en source, no? Es que me venía por defecto las sources del ancient sntandard de Davidsky.

Se puede poner cualquier datasheet.

[gixajo]

Se puede poner cualquier datasheet.

Ya hombre, pero para usar el mismo que usaste tú.

Y gracias por el sitio, tengo por ahí otro sitio con el 2way ese pero parece que ya no funciona.

[Beowulf]

calculadora medieval resultados:

yo: Target: ivang25
Distance: 1.2451% / 0.01245065
75.8 Iberia
12.0 Italy
9.6 Norway
1.4 Fatimid_Caliphate
1.2 Britain

madre:
Target: g25mama
Distance: 1.2363% / 0.01236300
67.6 Iberia
18.2 Britain
11.4 Italy
1.8 Ummayad_Caliphate
1.0 Norway

padre:
Target: papag25
Distance: 1.7395% / 0.01739535
68.4 Iberia
20.0 Italy
11.6 Norway

abuela materna:
Target: abuela
Distance: 0.9090% / 0.00908986
64.8 Iberia
11.0 Britain
11.0 Italy
6.8 Byzantium
5.6 Sweden
0.4 Baltic
0.4 Fatimid_Caliphate

abuelo materno:
Target: abuelo
Distance: 1.6649% / 0.01664937
65.0 Iberia
21.6 Britain
13.2 Italy
0.2 Fatimid_Caliphate

[Gallop]

0.023 Gallop_scaled = 98% Father_scaled + 2% IND_Roopkund_A
0.023 Gallop_scaled = 99% Father_scaled + 1% IND_Great_Andamanese_100BP
0.023 Gallop_scaled = 98% Father_scaled + 2% RUS_Yana_UP
0.023 Gallop_scaled = 95% Father_scaled + 5% POL_Unetice_EBA
0.023 Gallop_scaled = 98% Father_scaled + 2% GEO_CHG
0.023 Gallop_scaled = 97% Father_scaled + 3% DEU_Karsdorf_LN
0.023 Gallop_scaled = 98% Father_scaled + 2% RUS_Darkveti-Meshoko_En
0.024 Gallop_scaled = 99% Father_scaled + 1% RUS_Progress_En
0.024 Gallop_scaled = 97% Father_scaled + 3% England_N
0.024 Gallop_scaled = 99% Father_scaled + 1% TKM_Geoksyur_N
0.024 Gallop_scaled = 99% Father_scaled + 1% CHN_Qihe_11500BP

https://output.jsbin.com/gojecoh


Ave María purísima, soy indoeuropeo, Indo-Ario.


Father

0.023 Father_scaled = 99% Gallop_scaled + 1% ZAF_2100BP
0.023 Father_scaled = 93% Gallop_scaled + 7% CZE_Early_Slav
0.023 Father_scaled = 97% Gallop_scaled + 3% Baltic_EST_BA
0.023 Father_scaled = 99% Gallop_scaled + 1% CMR_Shum_Laka
0.023 Father_scaled = 96% Gallop_scaled + 4% Baltic_EST_MA
0.023 Father_scaled = 96% Gallop_scaled + 4% TUR_Pinarbasi_HG
0.023 Father_scaled = 97% Gallop_scaled + 3% Baltic_EST_IA
0.023 Father_scaled = 99% Gallop_scaled + 1% ETH_Mota
0.023 Father_scaled = 98% Gallop_scaled + 2% TUR_Barcin_N
0.024 Father_scaled = 98% Gallop_scaled + 2% DEU_LBK_KD
0.024 Father_scaled = 99% Gallop_scaled + 1% RUS_Chalmny-Varre
0.024 Father_scaled = 99% Gallop_scaled + 1% Levant_Natufian
0.024 Father_scaled = 98% Gallop_scaled + 2% England_N
0.024 Father_scaled = 99% Gallop_scaled + 1% Corded_Ware_Baltic
0.024 Father_scaled = 99% Gallop_scaled + 1% FIN_Levanluhta_IA
0.024 Father_scaled = 99% Gallop_scaled + 1% VK2020_NOR_North_VA_o1
0.024 Father_scaled = 99% Gallop_scaled + 1% POL_Unetice_EBA
---------------------------------------------------------------------------
---------------------------------------------------------------------------



0.034 Gallop_scaled = 69% England_N + 31% RUS_Progress_En
0.037 Gallop_scaled = 67% England_N + 33% Yamnaya_RUS_Samara
0.039 Father_scaled = 70% England_N + 30% RUS_Progress_En
0.039 Gallop_scaled = 60% England_N + 40% DEU_Karsdorf_LN
0.040 Father_scaled = 67% England_N + 33% Yamnaya_RUS_Samara
0.042 Gallop_scaled = 71% England_N + 29% CHN_Dzungaria_EBA1
0.043 Gallop_scaled = 52% POL_Unetice_EBA + 48% England_N
0.044 Father_scaled = 61% England_N + 39% DEU_Karsdorf_LN
0.045 Father_scaled = 55% CZE_Early_Slav + 45% England_N
0.046 Father_scaled = 71% England_N + 29% CHN_Dzungaria_EBA1
0.046 Father_scaled = 57% POL_Unetice_EBA + 43% TUR_Pinarbasi_HG
0.046 Father_scaled = 51% POL_Unetice_EBA + 49% England_N
0.047 Gallop_scaled = 59% POL_Unetice_EBA + 41% TUR_Pinarbasi_HG
0.048 Father_scaled = 50% Corded_Ware_Baltic + 50% TUR_Pinarbasi_HG
0.048 Father_scaled = 53% Corded_Ware_Baltic + 47% TUR_Barcin_N
0.048 Gallop_scaled = 62% POL_Unetice_EBA + 38% TUR_Barcin_N
0.048 Gallop_scaled = 56% England_N + 44% Corded_Ware_Baltic
0.049 Gallop_scaled = 54% CZE_Early_Slav + 46% England_N
0.049 Father_scaled = 61% POL_Unetice_EBA + 39% TUR_Barcin_N
0.049 Gallop_scaled = 72% England_N + 28% RUS_Khvalynsk_En
0.050 Father_scaled = 56% England_N + 44% Corded_Ware_Baltic
0.050 Father_scaled = 55% TUR_Pinarbasi_HG + 45% DEU_Karsdorf_LN
0.050 Gallop_scaled = 54% Corded_Ware_Baltic + 46% TUR_Barcin_N
0.050 Gallop_scaled = 66% England_N + 34% RUS_Tagar
0.050 Gallop_scaled = 54% TUR_Pinarbasi_HG + 46% DEU_Karsdorf_LN
0.051 Father_scaled = 65% TUR_Barcin_N + 35% RUS_Volga-Kama_N
0.051 Father_scaled = 72% England_N + 28% RUS_Khvalynsk_En
0.051 Father_scaled = 66% TUR_Barcin_N + 34% VK2020_NOR_North_LN_HG
0.051 Gallop_scaled = 51% Corded_Ware_Baltic + 49% TUR_Pinarbasi_HG
0.053 Father_scaled = 62% CZE_Early_Slav + 38% TUR_Pinarbasi_HG
0.053 Father_scaled = 66% England_N + 34% RUS_Tagar
0.053 Gallop_scaled = 65% TUR_Barcin_N + 35% RUS_Volga-Kama_N
0.053 Father_scaled = 55% Corded_Ware_Baltic + 45% DEU_LBK_KD
0.053 Gallop_scaled = 63% POL_Unetice_EBA + 37% DEU_LBK_KD
0.054 Gallop_scaled = 55% Corded_Ware_Baltic + 45% DEU_LBK_KD
0.054 Father_scaled = 65% CZE_Early_Slav + 35% TUR_Barcin_N
0.054 Father_scaled = 62% TUR_Pinarbasi_HG + 38% Yamnaya_RUS_Samara
0.054 Gallop_scaled = 65% England_N + 35% RUS_Mezhovskaya
0.054 Father_scaled = 65% TUR_Barcin_N + 35% NOR_N_HG
0.055 Father_scaled = 62% POL_Unetice_EBA + 38% DEU_LBK_KD
0.055 Father_scaled = 69% TUR_Pinarbasi_HG + 31% RUS_Volga-Kama_N
0.055 Gallop_scaled = 66% TUR_Barcin_N + 34% VK2020_NOR_North_LN_HG
0.056 Father_scaled = 66% England_N + 34% RUS_Mezhovskaya
0.056 Father_scaled = 67% TUR_Pinarbasi_HG + 33% RUS_Khvalynsk_En
0.056 Father_scaled = 50% Baltic_EST_IA + 50% TUR_Barcin_N
0.057 Gallop_scaled = 61% TUR_Pinarbasi_HG + 39% Yamnaya_RUS_Samara
0.057 Gallop_scaled = 51% TUR_Barcin_N + 49% DEU_Karsdorf_LN
0.057 Father_scaled = 67% CZE_Early_Slav + 33% DEU_LBK_KD
0.058 Gallop_scaled = 65% TUR_Barcin_N + 35% NOR_N_HG
0.058 Father_scaled = 51% Baltic_EST_MA + 49% TUR_Barcin_N
0.058 Gallop_scaled = 50% DEU_Karsdorf_LN + 50% DEU_LBK_KD
0.059 Father_scaled = 51% TUR_Barcin_N + 49% DEU_Karsdorf_LN
0.059 Father_scaled = 67% TUR_Barcin_N + 33% RUS_Samara_HG
0.059 Father_scaled = 68% TUR_Barcin_N + 32% RUS_Karelia_HG
0.059 Gallop_scaled = 62% CZE_Early_Slav + 38% TUR_Pinarbasi_HG
0.059 Gallop_scaled = 65% CZE_Early_Slav + 35% TUR_Barcin_N
0.059 Gallop_scaled = 68% TUR_Pinarbasi_HG + 32% RUS_Volga-Kama_N
0.059 Gallop_scaled = 57% DEU_LBK_KD + 43% Yamnaya_RUS_Samara
0.060 Father_scaled = 64% TUR_Barcin_N + 36% RUS_Khvalynsk_En
0.060 Gallop_scaled = 66% TUR_Pinarbasi_HG + 34% RUS_Khvalynsk_En
0.060 Father_scaled = 58% DEU_LBK_KD + 42% Yamnaya_RUS_Samara
0.060 Father_scaled = 63% DEU_LBK_KD + 37% RUS_Khvalynsk_En
0.060 Gallop_scaled = 75% England_N + 25% GEO_CHG
0.060 Gallop_scaled = 67% TUR_Barcin_N + 33% RUS_Samara_HG
0.061 Father_scaled = 65% TUR_Pinarbasi_HG + 35% RUS_Progress_En
0.061 Gallop_scaled = 78% England_N + 22% RUS_MA1
0.061 Father_scaled = 50% DEU_LBK_KD + 50% DEU_Karsdorf_LN
0.061 Gallop_scaled = 80% England_N + 20% RUS_Sosonivoy_HG
0.061 Father_scaled = 60% England_N + 40% Baltic_EST_MA
0.061 Gallop_scaled = 63% DEU_LBK_KD + 37% RUS_Khvalynsk_En
0.061 Father_scaled = 53% TUR_Pinarbasi_HG + 47% Baltic_EST_IA
0.061 Father_scaled = 70% TUR_Pinarbasi_HG + 30% RUS_Samara_HG
0.061 Father_scaled = 53% TUR_Pinarbasi_HG + 47% Baltic_EST_MA
0.062 Father_scaled = 60% England_N + 40% Baltic_EST_IA
0.062 Gallop_scaled = 68% TUR_Barcin_N + 32% RUS_Karelia_HG
0.062 Gallop_scaled = 81% England_N + 19% RUS_Tyumen_HG
0.062 Gallop_scaled = 64% TUR_Barcin_N + 36% RUS_Khvalynsk_En
0.062 Father_scaled = 67% TUR_Pinarbasi_HG + 33% CHN_Dzungaria_EBA1
0.062 Gallop_scaled = 67% CZE_Early_Slav + 33% DEU_LBK_KD
0.062 Gallop_scaled = 65% TUR_Pinarbasi_HG + 35% RUS_Progress_En
0.062 Gallop_scaled = 75% England_N + 25% TKM_Geoksyur_N
0.062 Gallop_scaled = 50% Baltic_EST_IA + 50% TUR_Barcin_N
0.062 Gallop_scaled = 82% England_N + 18% CHN_Tarim_EMBA1
0.063 Father_scaled = 78% England_N + 22% RUS_MA1
0.063 Father_scaled = 80% England_N + 20% RUS_Sosonivoy_HG
0.063 Father_scaled = 71% TUR_Pinarbasi_HG + 29% RUS_Karelia_HG
0.063 Gallop_scaled = 76% England_N + 24% RUS_Samara_HG
0.064 Gallop_scaled = 81% England_N + 19% RUS_AfontovaGora3
0.064 Gallop_scaled = 61% England_N + 39% Baltic_EST_IA
0.064 Gallop_scaled = 75% England_N + 25% RUS_Volga-Kama_N
0.064 Father_scaled = 81% England_N + 19% RUS_Tyumen_HG
0.064 Gallop_scaled = 61% England_N + 39% Baltic_EST_MA
0.064 Gallop_scaled = 80% England_N + 20% KAZ_Botai
0.064 Father_scaled = 82% England_N + 18% CHN_Tarim_EMBA1
0.064 Gallop_scaled = 66% TUR_Pinarbasi_HG + 34% CHN_Dzungaria_EBA1
0.064 Father_scaled = 70% TUR_Pinarbasi_HG + 30% VK2020_NOR_North_LN_HG
0.065 Gallop_scaled = 51% Baltic_EST_MA + 49% TUR_Barcin_N
0.065 Father_scaled = 81% England_N + 19% RUS_AfontovaGora3
0.065 Gallop_scaled = 70% TUR_Pinarbasi_HG + 30% RUS_Samara_HG
0.065 Father_scaled = 67% TUR_Barcin_N + 33% SWE_Motala_HG

[Beowulf]

voy a probarlo individualmente:

1,653 models (29 ms):
0.032 ivang25 = 71% England_N + 29% RUS_Progress_En
0.037 ivang25 = 69% England_N + 31% Yamnaya_RUS_Samara
0.038 ivang25 = 57% POL_Unetice_EBA + 43% TUR_Barcin_N
0.039 ivang25 = 62% England_N + 38% DEU_Karsdorf_LN
0.039 ivang25 = 54% POL_Unetice_EBA + 46% TUR_Pinarbasi_HG
0.040 ivang25 = 57% TUR_Pinarbasi_HG + 43% DEU_Karsdorf_LN
0.040 ivang25 = 72% England_N + 28% CHN_Dzungaria_EBA1
0.040 ivang25 = 50% TUR_Barcin_N + 50% Corded_Ware_Baltic
0.042 ivang25 = 68% TUR_Barcin_N + 32% RUS_Volga-Kama_N
0.044 ivang25 = 58% POL_Unetice_EBA + 42% DEU_LBK_KD
0.044 ivang25 = 52% England_N + 48% POL_Unetice_EBA
0.044 ivang25 = 51% Corded_Ware_Baltic + 49% DEU_LBK_KD
0.044 ivang25 = 54% TUR_Barcin_N + 46% DEU_Karsdorf_LN
0.044 ivang25 = 60% DEU_LBK_KD + 40% Yamnaya_RUS_Samara
0.045 ivang25 = 53% DEU_LBK_KD + 47% DEU_Karsdorf_LN
0.045 ivang25 = 53% TUR_Pinarbasi_HG + 47% Corded_Ware_Baltic
0.046 ivang25 = 64% TUR_Pinarbasi_HG + 36% Yamnaya_RUS_Samara
0.047 ivang25 = 65% DEU_LBK_KD + 35% RUS_Khvalynsk_En
0.047 ivang25 = 67% England_N + 33% RUS_Tagar
0.048 ivang25 = 51% CZE_Early_Slav + 49% England_N
0.049 ivang25 = 68% TUR_Barcin_N + 32% VK2020_NOR_North_LN_HG
0.049 ivang25 = 66% TUR_Barcin_N + 34% RUS_Khvalynsk_En
0.050 ivang25 = 69% TUR_Barcin_N + 31% RUS_Samara_HG
0.050 ivang25 = 60% England_N + 40% Corded_Ware_Baltic
0.050 ivang25 = 70% TUR_Barcin_N + 30% RUS_Karelia_HG
0.051 ivang25 = 74% England_N + 26% RUS_Khvalynsk_En
0.051 ivang25 = 64% DEU_LBK_KD + 36% CHN_Dzungaria_EBA1
0.051 ivang25 = 67% TUR_Pinarbasi_HG + 33% RUS_Progress_En
0.051 ivang25 = 60% CZE_Early_Slav + 40% TUR_Barcin_N
0.051 ivang25 = 75% England_N + 25% TKM_Geoksyur_N
0.051 ivang25 = 69% TUR_Pinarbasi_HG + 31% RUS_Khvalynsk_En
0.051 ivang25 = 68% TUR_Barcin_N + 32% NOR_N_HG
0.052 ivang25 = 63% DEU_LBK_KD + 37% RUS_Progress_En
0.052 ivang25 = 67% England_N + 33% RUS_Mezhovskaya
0.053 ivang25 = 68% TUR_Pinarbasi_HG + 32% CHN_Dzungaria_EBA1
0.053 ivang25 = 57% CZE_Early_Slav + 43% TUR_Pinarbasi_HG
0.053 ivang25 = 71% TUR_Pinarbasi_HG + 29% RUS_Volga-Kama_N
0.054 ivang25 = 54% TUR_Barcin_N + 46% Baltic_EST_IA
0.054 ivang25 = 61% TUR_Barcin_N + 39% Yamnaya_RUS_Samara
0.054 ivang25 = 61% CZE_Early_Slav + 39% DEU_LBK_KD
0.055 ivang25 = 53% TUR_Barcin_N + 47% Baltic_EST_MA
0.056 ivang25 = 76% England_N + 24% GEO_CHG
0.056 ivang25 = 67% DEU_LBK_KD + 33% RUS_Volga-Kama_N
0.057 ivang25 = 58% DEU_LBK_KD + 42% RUS_Mezhovskaya
0.057 ivang25 = 79% England_N + 21% RUS_MA1
0.058 ivang25 = 69% DEU_LBK_KD + 31% RUS_Samara_HG
0.058 ivang25 = 69% England_N + 31% RUS_Darkveti-Meshoko_En
0.058 ivang25 = 83% England_N + 17% CHN_Tarim_EMBA1
0.058 ivang25 = 72% TUR_Pinarbasi_HG + 28% RUS_Samara_HG
0.059 ivang25 = 59% TUR_Barcin_N + 41% RUS_Mezhovskaya
0.059 ivang25 = 58% DEU_LBK_KD + 42% RUS_Tagar
0.059 ivang25 = 66% TUR_Barcin_N + 34% CHN_Dzungaria_EBA1
0.059 ivang25 = 81% England_N + 19% RUS_Sosonivoy_HG
0.060 ivang25 = 82% England_N + 18% RUS_Tyumen_HG
0.060 ivang25 = 82% England_N + 18% RUS_AfontovaGora3
0.061 ivang25 = 73% TUR_Pinarbasi_HG + 27% RUS_Karelia_HG
0.061 ivang25 = 62% TUR_Pinarbasi_HG + 38% RUS_Mezhovskaya
0.061 ivang25 = 70% DEU_LBK_KD + 30% RUS_Karelia_HG
0.061 ivang25 = 81% England_N + 19% KAZ_Botai
0.061 ivang25 = 62% TUR_Pinarbasi_HG + 38% RUS_Tagar
0.062 ivang25 = 75% England_N + 25% Sargat_IA
0.062 ivang25 = 57% TUR_Pinarbasi_HG + 43% Baltic_EST_IA
0.062 ivang25 = 53% DEU_LBK_KD + 47% Baltic_EST_IA
0.063 ivang25 = 70% TUR_Barcin_N + 30% SWE_Motala_HG
0.063 ivang25 = 57% TUR_Pinarbasi_HG + 43% Baltic_EST_MA
0.063 ivang25 = 71% DEU_LBK_KD + 29% RUS_MA1
0.063 ivang25 = 59% TUR_Barcin_N + 41% RUS_Tagar
0.064 ivang25 = 52% DEU_LBK_KD + 48% Baltic_EST_MA
0.064 ivang25 = 64% England_N + 36% Baltic_EST_MA
0.064 ivang25 = 73% DEU_LBK_KD + 27% RUS_Sosonivoy_HG
0.065 ivang25 = 65% England_N + 35% Baltic_EST_IA
0.065 ivang25 = 65% TUR_Barcin_N + 35% RUS_Progress_En
0.065 ivang25 = 78% England_N + 22% RUS_Samara_HG
0.065 ivang25 = 78% England_N + 22% RUS_Krasnoyarsk_MLBA_o
0.065 ivang25 = 69% DEU_LBK_KD + 31% VK2020_NOR_North_LN_HG
0.066 ivang25 = 78% England_N + 22% RUS_Volga-Kama_N
0.066 ivang25 = 59% TUR_Barcin_N + 41% Baltic_EST_BA
0.066 ivang25 = 72% TUR_Pinarbasi_HG + 28% VK2020_NOR_North_LN_HG
0.066 ivang25 = 74% DEU_LBK_KD + 26% RUS_Tyumen_HG
0.067 ivang25 = 74% DEU_LBK_KD + 26% RUS_AfontovaGora3
0.067 ivang25 = 73% England_N + 27% RUS_Chalmny-Varre
0.067 ivang25 = 74% England_N + 26% FIN_Levanluhta_IA
0.068 ivang25 = 75% TUR_Pinarbasi_HG + 25% RUS_MA1
0.068 ivang25 = 76% England_N + 24% RUS_Nomad_MA
0.068 ivang25 = 74% TUR_Barcin_N + 26% RUS_Sosonivoy_HG
0.068 ivang25 = 80% England_N + 20% RUS_Karelia_HG
0.068 ivang25 = 77% TUR_Pinarbasi_HG + 23% RUS_Sosonivoy_HG
0.069 ivang25 = 78% TUR_Pinarbasi_HG + 22% RUS_AfontovaGora3
0.069 ivang25 = 78% TUR_Pinarbasi_HG + 22% RUS_Tyumen_HG
0.069 ivang25 = 72% TUR_Barcin_N + 28% Baltic_LVA_HG
0.070 ivang25 = 72% TUR_Pinarbasi_HG + 28% NOR_N_HG
0.070 ivang25 = 75% TUR_Barcin_N + 25% RUS_Tyumen_HG
0.071 ivang25 = 63% TUR_Barcin_N + 37% RUS_Chalmny-Varre
0.071 ivang25 = 74% DEU_LBK_KD + 26% KAZ_Botai
0.071 ivang25 = 71% England_N + 29% Baltic_EST_BA
0.071 ivang25 = 81% England_N + 19% IND_Roopkund_A
0.071 ivang25 = 73% POL_Unetice_EBA + 27% Levant_Natufian
0.071 ivang25 = 78% England_N + 22% VK2020_NOR_North_VA_o1
0.071 ivang25 = 69% DEU_LBK_KD + 31% NOR_N_HG
0.071 ivang25 = 72% TUR_Barcin_N + 28% RUS_MA1

[Beowulf]

mi abuela:
1,653 models (27 ms):
0.032 abuela = 68% England_N + 32% RUS_Progress_En
0.034 abuela = 65% England_N + 35% Yamnaya_RUS_Samara
0.034 abuela = 62% POL_Unetice_EBA + 38% TUR_Barcin_N
0.034 abuela = 55% Corded_Ware_Baltic + 45% TUR_Barcin_N
0.035 abuela = 60% POL_Unetice_EBA + 40% TUR_Pinarbasi_HG
0.037 abuela = 58% England_N + 42% DEU_Karsdorf_LN
0.039 abuela = 55% POL_Unetice_EBA + 45% England_N
0.039 abuela = 56% Corded_Ware_Baltic + 44% DEU_LBK_KD
0.040 abuela = 52% Corded_Ware_Baltic + 48% TUR_Pinarbasi_HG
0.040 abuela = 64% POL_Unetice_EBA + 36% DEU_LBK_KD
0.041 abuela = 58% CZE_Early_Slav + 42% England_N
0.041 abuela = 53% TUR_Pinarbasi_HG + 47% DEU_Karsdorf_LN
0.042 abuela = 70% England_N + 30% CHN_Dzungaria_EBA1
0.043 abuela = 65% TUR_Barcin_N + 35% RUS_Volga-Kama_N
0.044 abuela = 54% England_N + 46% Corded_Ware_Baltic
0.045 abuela = 66% CZE_Early_Slav + 34% TUR_Barcin_N
0.046 abuela = 57% DEU_LBK_KD + 43% Yamnaya_RUS_Samara
0.046 abuela = 50% TUR_Barcin_N + 50% DEU_Karsdorf_LN
0.047 abuela = 60% TUR_Pinarbasi_HG + 40% Yamnaya_RUS_Samara
0.047 abuela = 51% Baltic_EST_IA + 49% TUR_Barcin_N
0.047 abuela = 51% DEU_Karsdorf_LN + 49% DEU_LBK_KD
0.047 abuela = 64% CZE_Early_Slav + 36% TUR_Pinarbasi_HG
0.047 abuela = 52% Baltic_EST_MA + 48% TUR_Barcin_N
0.048 abuela = 68% CZE_Early_Slav + 32% DEU_LBK_KD
0.048 abuela = 66% TUR_Barcin_N + 34% VK2020_NOR_North_LN_HG
0.050 abuela = 62% DEU_LBK_KD + 38% RUS_Khvalynsk_En
0.050 abuela = 71% England_N + 29% RUS_Khvalynsk_En
0.051 abuela = 65% TUR_Barcin_N + 35% NOR_N_HG
0.051 abuela = 63% TUR_Barcin_N + 37% RUS_Khvalynsk_En
0.051 abuela = 66% TUR_Barcin_N + 34% RUS_Samara_HG
0.052 abuela = 64% England_N + 36% RUS_Tagar
0.052 abuela = 67% TUR_Barcin_N + 33% RUS_Karelia_HG
0.053 abuela = 66% TUR_Pinarbasi_HG + 34% RUS_Khvalynsk_En
0.054 abuela = 64% TUR_Pinarbasi_HG + 36% RUS_Progress_En
0.054 abuela = 68% TUR_Pinarbasi_HG + 32% RUS_Volga-Kama_N
0.054 abuela = 58% TUR_Barcin_N + 42% Yamnaya_RUS_Samara
0.055 abuela = 64% England_N + 36% RUS_Mezhovskaya
0.056 abuela = 60% DEU_LBK_KD + 40% RUS_Progress_En
0.056 abuela = 51% TUR_Pinarbasi_HG + 49% Baltic_EST_MA
0.057 abuela = 51% TUR_Pinarbasi_HG + 49% Baltic_EST_IA
0.057 abuela = 62% DEU_LBK_KD + 38% CHN_Dzungaria_EBA1
0.057 abuela = 53% Baltic_EST_IA + 47% DEU_LBK_KD
0.057 abuela = 53% Baltic_EST_MA + 47% DEU_LBK_KD
0.057 abuela = 65% TUR_Pinarbasi_HG + 35% CHN_Dzungaria_EBA1
0.058 abuela = 57% England_N + 43% Baltic_EST_MA
0.058 abuela = 65% DEU_LBK_KD + 35% RUS_Volga-Kama_N
0.059 abuela = 54% TUR_Barcin_N + 46% Baltic_EST_BA
0.059 abuela = 58% England_N + 42% Baltic_EST_IA
0.060 abuela = 69% TUR_Pinarbasi_HG + 31% RUS_Samara_HG
0.060 abuela = 66% DEU_LBK_KD + 34% RUS_Samara_HG
0.061 abuela = 80% CZE_Early_Slav + 20% Levant_Natufian
0.062 abuela = 77% England_N + 23% RUS_MA1
0.062 abuela = 77% POL_Unetice_EBA + 23% Levant_Natufian
0.062 abuela = 71% TUR_Pinarbasi_HG + 29% RUS_Karelia_HG
0.062 abuela = 74% England_N + 26% TKM_Geoksyur_N
0.063 abuela = 79% England_N + 21% RUS_Sosonivoy_HG
0.063 abuela = 67% DEU_LBK_KD + 33% RUS_Karelia_HG
0.063 abuela = 54% DEU_LBK_KD + 46% RUS_Mezhovskaya
0.064 abuela = 63% TUR_Barcin_N + 37% CHN_Dzungaria_EBA1
0.064 abuela = 67% TUR_Barcin_N + 33% SWE_Motala_HG
0.064 abuela = 55% TUR_Barcin_N + 45% RUS_Mezhovskaya
0.064 abuela = 81% England_N + 19% CHN_Tarim_EMBA1
0.065 abuela = 80% England_N + 20% RUS_Tyumen_HG
0.065 abuela = 80% England_N + 20% RUS_AfontovaGora3
0.065 abuela = 74% England_N + 26% GEO_CHG
0.065 abuela = 64% England_N + 36% Baltic_EST_BA
0.066 abuela = 75% England_N + 25% RUS_Samara_HG
0.066 abuela = 57% TUR_Pinarbasi_HG + 43% Baltic_EST_BA
0.066 abuela = 59% TUR_Pinarbasi_HG + 41% RUS_Mezhovskaya
0.066 abuela = 55% DEU_LBK_KD + 45% RUS_Tagar
0.066 abuela = 74% England_N + 26% RUS_Volga-Kama_N
0.066 abuela = 65% DEU_LBK_KD + 35% VK2020_NOR_North_LN_HG
0.066 abuela = 69% TUR_Pinarbasi_HG + 31% VK2020_NOR_North_LN_HG
0.067 abuela = 80% England_N + 20% KAZ_Botai
0.067 abuela = 59% TUR_Pinarbasi_HG + 41% RUS_Tagar
0.067 abuela = 67% England_N + 33% RUS_Darkveti-Meshoko_En
0.068 abuela = 62% TUR_Barcin_N + 38% RUS_Progress_En
0.069 abuela = 53% DEU_LBK_KD + 47% Baltic_EST_BA
0.069 abuela = 77% England_N + 23% RUS_Karelia_HG
0.070 abuela = 73% England_N + 27% Sargat_IA
0.070 abuela = 56% TUR_Barcin_N + 44% RUS_Tagar
0.070 abuela = 69% TUR_Pinarbasi_HG + 31% NOR_N_HG
0.071 abuela = 69% England_N + 31% RUS_Chalmny-Varre
0.071 abuela = 69% DEU_LBK_KD + 31% RUS_MA1
0.071 abuela = 69% TUR_Barcin_N + 31% Baltic_LVA_HG
0.072 abuela = 65% DEU_LBK_KD + 35% NOR_N_HG
0.072 abuela = 71% DEU_LBK_KD + 29% RUS_Sosonivoy_HG
0.072 abuela = 72% England_N + 28% FIN_Levanluhta_IA
0.072 abuela = 76% England_N + 24% RUS_Krasnoyarsk_MLBA_o
0.075 abuela = 73% TUR_Pinarbasi_HG + 27% RUS_MA1
0.075 abuela = 75% TUR_Pinarbasi_HG + 25% RUS_Sosonivoy_HG
0.075 abuela = 72% DEU_LBK_KD + 28% RUS_Tyumen_HG
0.075 abuela = 72% TUR_Barcin_N + 28% RUS_Sosonivoy_HG
0.075 abuela = 73% DEU_LBK_KD + 27% RUS_AfontovaGora3
0.075 abuela = 76% TUR_Pinarbasi_HG + 24% RUS_AfontovaGora3
0.076 abuela = 60% TUR_Barcin_N + 40% RUS_Chalmny-Varre
0.076 abuela = 76% TUR_Pinarbasi_HG + 24% RUS_Tyumen_HG
0.077 abuela = 75% England_N + 25% RUS_Nomad_MA
0.078 abuela = 76% England_N + 24% VK2020_NOR_North_VA_o1
0.078 abuela = 74% TUR_Barcin_N + 26% RUS_Tyumen_HG

abuelo:
1,653 models (4 ms):
0.027 abuelo = 69% England_N + 31% RUS_Progress_En
0.028 abuelo = 66% England_N + 34% Yamnaya_RUS_Samara
0.030 abuelo = 60% England_N + 40% DEU_Karsdorf_LN
0.035 abuelo = 52% POL_Unetice_EBA + 48% England_N
0.036 abuelo = 71% England_N + 29% CHN_Dzungaria_EBA1
0.042 abuelo = 62% POL_Unetice_EBA + 38% TUR_Barcin_N
0.042 abuelo = 60% POL_Unetice_EBA + 40% TUR_Pinarbasi_HG
0.043 abuelo = 56% England_N + 44% Corded_Ware_Baltic
0.043 abuelo = 63% POL_Unetice_EBA + 37% DEU_LBK_KD
0.045 abuelo = 72% England_N + 28% RUS_Khvalynsk_En
0.045 abuelo = 55% Corded_Ware_Baltic + 45% DEU_LBK_KD
0.046 abuelo = 54% CZE_Early_Slav + 46% England_N
0.046 abuelo = 54% Corded_Ware_Baltic + 46% TUR_Barcin_N
0.047 abuelo = 53% TUR_Pinarbasi_HG + 47% DEU_Karsdorf_LN
0.047 abuelo = 66% England_N + 34% RUS_Tagar
0.048 abuelo = 50% DEU_Karsdorf_LN + 50% DEU_LBK_KD
0.049 abuelo = 65% TUR_Barcin_N + 35% RUS_Volga-Kama_N
0.050 abuelo = 52% Corded_Ware_Baltic + 48% TUR_Pinarbasi_HG
0.050 abuelo = 57% DEU_LBK_KD + 43% Yamnaya_RUS_Samara
0.050 abuelo = 65% England_N + 35% RUS_Mezhovskaya
0.052 abuelo = 50% DEU_Karsdorf_LN + 50% TUR_Barcin_N
0.053 abuelo = 63% DEU_LBK_KD + 37% RUS_Khvalynsk_En
0.054 abuelo = 66% TUR_Barcin_N + 34% VK2020_NOR_North_LN_HG
0.055 abuelo = 65% TUR_Barcin_N + 35% NOR_N_HG
0.055 abuelo = 61% TUR_Pinarbasi_HG + 39% Yamnaya_RUS_Samara
0.057 abuelo = 78% England_N + 22% RUS_MA1
0.057 abuelo = 80% England_N + 20% RUS_Sosonivoy_HG
0.058 abuelo = 66% CZE_Early_Slav + 34% DEU_LBK_KD
0.058 abuelo = 65% DEU_LBK_KD + 35% RUS_Volga-Kama_N
0.058 abuelo = 65% CZE_Early_Slav + 35% TUR_Barcin_N
0.058 abuelo = 80% England_N + 20% RUS_Tyumen_HG
0.058 abuelo = 82% England_N + 18% CHN_Tarim_EMBA1
0.058 abuelo = 68% TUR_Barcin_N + 32% RUS_Karelia_HG
0.059 abuelo = 68% TUR_Pinarbasi_HG + 32% RUS_Volga-Kama_N
0.059 abuelo = 81% England_N + 19% RUS_AfontovaGora3
0.059 abuelo = 67% TUR_Barcin_N + 33% RUS_Samara_HG
0.059 abuelo = 62% DEU_LBK_KD + 38% CHN_Dzungaria_EBA1
0.059 abuelo = 63% CZE_Early_Slav + 37% TUR_Pinarbasi_HG
0.059 abuelo = 63% TUR_Barcin_N + 37% RUS_Khvalynsk_En
0.059 abuelo = 60% England_N + 40% Baltic_EST_MA
0.059 abuelo = 51% Baltic_EST_IA + 49% TUR_Barcin_N
0.060 abuelo = 75% England_N + 25% RUS_Volga-Kama_N
0.060 abuelo = 66% TUR_Pinarbasi_HG + 34% RUS_Khvalynsk_En
0.060 abuelo = 61% England_N + 39% Baltic_EST_IA
0.060 abuelo = 61% DEU_LBK_KD + 39% RUS_Progress_En
0.060 abuelo = 76% England_N + 24% RUS_Samara_HG
0.060 abuelo = 75% England_N + 25% TKM_Geoksyur_N
0.061 abuelo = 51% Baltic_EST_MA + 49% TUR_Barcin_N
0.061 abuelo = 80% England_N + 20% KAZ_Botai
0.061 abuelo = 66% DEU_LBK_KD + 34% RUS_Samara_HG
0.063 abuelo = 64% TUR_Pinarbasi_HG + 36% RUS_Progress_En
0.063 abuelo = 58% TUR_Barcin_N + 42% Yamnaya_RUS_Samara
0.063 abuelo = 77% England_N + 23% RUS_Karelia_HG
0.064 abuelo = 76% England_N + 24% GEO_CHG
0.064 abuelo = 67% DEU_LBK_KD + 33% RUS_Karelia_HG
0.064 abuelo = 66% TUR_Pinarbasi_HG + 34% CHN_Dzungaria_EBA1
0.064 abuelo = 51% Baltic_EST_IA + 49% DEU_LBK_KD
0.065 abuelo = 55% DEU_LBK_KD + 45% RUS_Mezhovskaya
0.065 abuelo = 74% England_N + 26% Sargat_IA
0.065 abuelo = 52% Baltic_EST_MA + 48% DEU_LBK_KD
0.066 abuelo = 70% TUR_Pinarbasi_HG + 30% RUS_Samara_HG
0.066 abuelo = 67% TUR_Barcin_N + 33% SWE_Motala_HG
0.066 abuelo = 66% DEU_LBK_KD + 34% VK2020_NOR_North_LN_HG
0.067 abuelo = 53% TUR_Pinarbasi_HG + 47% Baltic_EST_IA
0.067 abuelo = 52% TUR_Pinarbasi_HG + 48% Baltic_EST_MA
0.067 abuelo = 77% England_N + 23% RUS_Krasnoyarsk_MLBA_o
0.067 abuelo = 71% TUR_Pinarbasi_HG + 29% RUS_Karelia_HG
0.067 abuelo = 70% England_N + 30% RUS_Darkveti-Meshoko_En
0.067 abuelo = 71% England_N + 29% RUS_Chalmny-Varre
0.067 abuelo = 68% England_N + 32% Baltic_EST_BA
0.068 abuelo = 56% DEU_LBK_KD + 44% RUS_Tagar
0.069 abuelo = 73% England_N + 27% FIN_Levanluhta_IA
0.069 abuelo = 77% POL_Unetice_EBA + 23% Levant_Natufian
0.070 abuelo = 56% TUR_Barcin_N + 44% RUS_Mezhovskaya
0.070 abuelo = 69% TUR_Pinarbasi_HG + 31% VK2020_NOR_North_LN_HG
0.070 abuelo = 63% TUR_Barcin_N + 37% CHN_Dzungaria_EBA1
0.070 abuelo = 59% TUR_Pinarbasi_HG + 41% RUS_Mezhovskaya
0.071 abuelo = 65% DEU_LBK_KD + 35% NOR_N_HG
0.072 abuelo = 69% TUR_Barcin_N + 31% Baltic_LVA_HG
0.072 abuelo = 56% TUR_Barcin_N + 44% Baltic_EST_BA
0.072 abuelo = 60% TUR_Pinarbasi_HG + 40% RUS_Tagar
0.073 abuelo = 69% TUR_Pinarbasi_HG + 31% NOR_N_HG
0.073 abuelo = 76% England_N + 24% RUS_Nomad_MA
0.073 abuelo = 69% DEU_LBK_KD + 31% RUS_MA1
0.073 abuelo = 72% DEU_LBK_KD + 28% RUS_Sosonivoy_HG
0.073 abuelo = 77% England_N + 23% VK2020_NOR_North_VA_o1
0.074 abuelo = 78% England_N + 22% VK2020_NOR_North_LN_HG
0.074 abuelo = 80% CZE_Early_Slav + 20% Levant_Natufian
0.075 abuelo = 73% DEU_LBK_KD + 27% RUS_Tyumen_HG
0.075 abuelo = 57% TUR_Barcin_N + 43% RUS_Tagar
0.076 abuelo = 62% TUR_Barcin_N + 38% RUS_Progress_En
0.076 abuelo = 73% DEU_LBK_KD + 27% RUS_AfontovaGora3
0.076 abuelo = 82% England_N + 18% RUS_Bolshoy_Oleni_Ostrov
0.076 abuelo = 81% England_N + 19% RUS_Kusnarenkovo_Karajakupovo_MED
0.077 abuelo = 81% England_N + 19% IND_Roopkund_A
0.077 abuelo = 59% TUR_Pinarbasi_HG + 41% Baltic_EST_BA
0.077 abuelo = 55% DEU_LBK_KD + 45% Baltic_EST_BA
0.078 abuelo = 78% England_N + 22% RUS_Yana_UP
0.079 abuelo = 75% TUR_Pinarbasi_HG + 25% RUS_Sosonivoy_HG
0.079 abuelo = 79% England_N + 21% NOR_N_HG

madre:
1,653 models (28 ms):
0.032 g25mama = 69% England_N + 31% RUS_Progress_En
0.035 g25mama = 67% England_N + 33% Yamnaya_RUS_Samara
0.037 g25mama = 60% England_N + 40% DEU_Karsdorf_LN
0.038 g25mama = 60% POL_Unetice_EBA + 40% TUR_Barcin_N
0.040 g25mama = 58% POL_Unetice_EBA + 42% TUR_Pinarbasi_HG
0.040 g25mama = 71% England_N + 29% CHN_Dzungaria_EBA1
0.041 g25mama = 52% Corded_Ware_Baltic + 48% TUR_Barcin_N
0.041 g25mama = 52% POL_Unetice_EBA + 48% England_N
0.042 g25mama = 61% POL_Unetice_EBA + 39% DEU_LBK_KD
0.043 g25mama = 53% Corded_Ware_Baltic + 47% DEU_LBK_KD
0.043 g25mama = 54% TUR_Pinarbasi_HG + 46% DEU_Karsdorf_LN
0.044 g25mama = 66% TUR_Barcin_N + 34% RUS_Volga-Kama_N
0.045 g25mama = 58% DEU_LBK_KD + 42% Yamnaya_RUS_Samara
0.045 g25mama = 51% DEU_LBK_KD + 49% DEU_Karsdorf_LN
0.046 g25mama = 50% TUR_Pinarbasi_HG + 50% Corded_Ware_Baltic
0.047 g25mama = 52% TUR_Barcin_N + 48% DEU_Karsdorf_LN
0.047 g25mama = 54% CZE_Early_Slav + 46% England_N
0.048 g25mama = 57% England_N + 43% Corded_Ware_Baltic
0.048 g25mama = 64% DEU_LBK_KD + 36% RUS_Khvalynsk_En
0.049 g25mama = 66% England_N + 34% RUS_Tagar
0.050 g25mama = 62% TUR_Pinarbasi_HG + 38% Yamnaya_RUS_Samara
0.050 g25mama = 72% England_N + 28% RUS_Khvalynsk_En
0.050 g25mama = 67% TUR_Barcin_N + 33% VK2020_NOR_North_LN_HG
0.052 g25mama = 63% CZE_Early_Slav + 37% TUR_Barcin_N
0.052 g25mama = 64% TUR_Barcin_N + 36% RUS_Khvalynsk_En
0.053 g25mama = 68% TUR_Barcin_N + 32% RUS_Samara_HG
0.053 g25mama = 66% TUR_Barcin_N + 34% NOR_N_HG
0.053 g25mama = 69% TUR_Barcin_N + 31% RUS_Karelia_HG
0.053 g25mama = 64% CZE_Early_Slav + 36% DEU_LBK_KD
0.053 g25mama = 66% England_N + 34% RUS_Mezhovskaya
0.053 g25mama = 63% DEU_LBK_KD + 37% CHN_Dzungaria_EBA1
0.054 g25mama = 51% TUR_Barcin_N + 49% Baltic_EST_IA
0.054 g25mama = 62% DEU_LBK_KD + 38% RUS_Progress_En
0.054 g25mama = 61% CZE_Early_Slav + 39% TUR_Pinarbasi_HG
0.055 g25mama = 67% TUR_Pinarbasi_HG + 33% RUS_Khvalynsk_En
0.055 g25mama = 50% TUR_Barcin_N + 50% Baltic_EST_MA
0.056 g25mama = 69% TUR_Pinarbasi_HG + 31% RUS_Volga-Kama_N
0.056 g25mama = 66% DEU_LBK_KD + 34% RUS_Volga-Kama_N
0.056 g25mama = 65% TUR_Pinarbasi_HG + 35% RUS_Progress_En
0.056 g25mama = 59% TUR_Barcin_N + 41% Yamnaya_RUS_Samara
0.058 g25mama = 66% TUR_Pinarbasi_HG + 34% CHN_Dzungaria_EBA1
0.058 g25mama = 75% England_N + 25% TKM_Geoksyur_N
0.059 g25mama = 67% DEU_LBK_KD + 33% RUS_Samara_HG
0.059 g25mama = 78% England_N + 22% RUS_MA1
0.060 g25mama = 80% England_N + 20% RUS_Sosonivoy_HG
0.061 g25mama = 56% DEU_LBK_KD + 44% RUS_Mezhovskaya
0.061 g25mama = 50% DEU_LBK_KD + 50% Baltic_EST_IA
0.061 g25mama = 82% England_N + 18% CHN_Tarim_EMBA1
0.061 g25mama = 68% DEU_LBK_KD + 32% RUS_Karelia_HG
0.061 g25mama = 81% England_N + 19% RUS_Tyumen_HG
0.062 g25mama = 71% TUR_Pinarbasi_HG + 29% RUS_Samara_HG
0.062 g25mama = 81% England_N + 19% RUS_AfontovaGora3
0.062 g25mama = 61% England_N + 39% Baltic_EST_MA
0.062 g25mama = 50% Baltic_EST_MA + 50% DEU_LBK_KD
0.062 g25mama = 57% DEU_LBK_KD + 43% RUS_Tagar
0.062 g25mama = 75% England_N + 25% GEO_CHG
0.063 g25mama = 61% England_N + 39% Baltic_EST_IA
0.063 g25mama = 64% TUR_Barcin_N + 36% CHN_Dzungaria_EBA1
0.063 g25mama = 54% TUR_Pinarbasi_HG + 46% Baltic_EST_IA
0.063 g25mama = 53% TUR_Pinarbasi_HG + 47% Baltic_EST_MA
0.063 g25mama = 57% TUR_Barcin_N + 43% RUS_Mezhovskaya
0.063 g25mama = 80% England_N + 20% KAZ_Botai
0.063 g25mama = 72% TUR_Pinarbasi_HG + 28% RUS_Karelia_HG
0.064 g25mama = 68% England_N + 32% RUS_Darkveti-Meshoko_En
0.064 g25mama = 68% TUR_Barcin_N + 32% SWE_Motala_HG
0.065 g25mama = 75% POL_Unetice_EBA + 25% Levant_Natufian
0.065 g25mama = 76% England_N + 24% RUS_Volga-Kama_N
0.065 g25mama = 77% England_N + 23% RUS_Samara_HG
0.065 g25mama = 67% DEU_LBK_KD + 33% VK2020_NOR_North_LN_HG
0.066 g25mama = 60% TUR_Pinarbasi_HG + 40% RUS_Mezhovskaya
0.066 g25mama = 74% England_N + 26% Sargat_IA
0.066 g25mama = 57% TUR_Barcin_N + 43% Baltic_EST_BA
0.067 g25mama = 61% TUR_Pinarbasi_HG + 39% RUS_Tagar
0.067 g25mama = 70% DEU_LBK_KD + 30% RUS_MA1
0.068 g25mama = 77% CZE_Early_Slav + 23% Levant_Natufian
0.068 g25mama = 78% England_N + 22% RUS_Karelia_HG
0.068 g25mama = 72% DEU_LBK_KD + 28% RUS_Sosonivoy_HG
0.068 g25mama = 58% TUR_Barcin_N + 42% RUS_Tagar
0.068 g25mama = 77% England_N + 23% RUS_Krasnoyarsk_MLBA_o
0.068 g25mama = 70% TUR_Pinarbasi_HG + 30% VK2020_NOR_North_LN_HG
0.068 g25mama = 63% TUR_Barcin_N + 37% RUS_Progress_En
0.069 g25mama = 71% England_N + 29% RUS_Chalmny-Varre
0.070 g25mama = 68% England_N + 32% Baltic_EST_BA
0.070 g25mama = 73% England_N + 27% FIN_Levanluhta_IA
0.070 g25mama = 73% DEU_LBK_KD + 27% RUS_Tyumen_HG
0.071 g25mama = 73% DEU_LBK_KD + 27% RUS_AfontovaGora3
0.071 g25mama = 67% DEU_LBK_KD + 33% NOR_N_HG
0.071 g25mama = 70% TUR_Barcin_N + 30% Baltic_LVA_HG
0.072 g25mama = 70% TUR_Pinarbasi_HG + 30% NOR_N_HG
0.072 g25mama = 60% TUR_Pinarbasi_HG + 40% Baltic_EST_BA
0.073 g25mama = 76% England_N + 24% RUS_Nomad_MA
0.073 g25mama = 73% TUR_Barcin_N + 27% RUS_Sosonivoy_HG
0.074 g25mama = 56% DEU_LBK_KD + 44% Baltic_EST_BA
0.074 g25mama = 76% TUR_Pinarbasi_HG + 24% RUS_Sosonivoy_HG
0.074 g25mama = 73% TUR_Pinarbasi_HG + 27% RUS_MA1
0.074 g25mama = 77% England_N + 23% VK2020_NOR_North_VA_o1
0.074 g25mama = 77% TUR_Pinarbasi_HG + 23% RUS_AfontovaGora3
0.075 g25mama = 77% TUR_Pinarbasi_HG + 23% RUS_Tyumen_HG
0.075 g25mama = 61% TUR_Barcin_N + 39% RUS_Chalmny-Varre
0.075 g25mama = 73% DEU_LBK_KD + 27% KAZ_Botai

padre:
1,653 models (8 ms):
0.027 papag25 = 72% England_N + 28% RUS_Progress_En
0.032 papag25 = 70% England_N + 30% Yamnaya_RUS_Samara
0.033 papag25 = 64% England_N + 36% DEU_Karsdorf_LN
0.035 papag25 = 74% England_N + 26% CHN_Dzungaria_EBA1
0.037 papag25 = 53% POL_Unetice_EBA + 47% TUR_Pinarbasi_HG
0.038 papag25 = 56% POL_Unetice_EBA + 44% TUR_Barcin_N
0.039 papag25 = 58% TUR_Pinarbasi_HG + 42% DEU_Karsdorf_LN
0.039 papag25 = 54% England_N + 46% POL_Unetice_EBA
0.041 papag25 = 57% POL_Unetice_EBA + 43% DEU_LBK_KD
0.041 papag25 = 51% TUR_Barcin_N + 49% Corded_Ware_Baltic
0.041 papag25 = 68% TUR_Barcin_N + 32% RUS_Volga-Kama_N
0.041 papag25 = 50% DEU_LBK_KD + 50% Corded_Ware_Baltic
0.043 papag25 = 54% DEU_LBK_KD + 46% DEU_Karsdorf_LN
0.043 papag25 = 61% DEU_LBK_KD + 39% Yamnaya_RUS_Samara
0.044 papag25 = 69% England_N + 31% RUS_Tagar
0.044 papag25 = 52% England_N + 48% CZE_Early_Slav
0.044 papag25 = 66% DEU_LBK_KD + 34% RUS_Khvalynsk_En
0.044 papag25 = 54% TUR_Pinarbasi_HG + 46% Corded_Ware_Baltic
0.045 papag25 = 75% England_N + 25% RUS_Khvalynsk_En
0.045 papag25 = 55% TUR_Barcin_N + 45% DEU_Karsdorf_LN
0.046 papag25 = 69% TUR_Barcin_N + 31% VK2020_NOR_North_LN_HG
0.046 papag25 = 61% England_N + 39% Corded_Ware_Baltic
0.047 papag25 = 65% TUR_Pinarbasi_HG + 35% Yamnaya_RUS_Samara
0.047 papag25 = 69% England_N + 31% RUS_Mezhovskaya
0.048 papag25 = 68% TUR_Barcin_N + 32% NOR_N_HG
0.049 papag25 = 70% TUR_Barcin_N + 30% RUS_Samara_HG
0.049 papag25 = 70% TUR_Barcin_N + 30% RUS_Karelia_HG
0.050 papag25 = 65% DEU_LBK_KD + 35% CHN_Dzungaria_EBA1
0.050 papag25 = 67% TUR_Barcin_N + 33% RUS_Khvalynsk_En
0.050 papag25 = 70% TUR_Pinarbasi_HG + 30% RUS_Khvalynsk_En
0.051 papag25 = 59% CZE_Early_Slav + 41% TUR_Barcin_N
0.051 papag25 = 77% England_N + 23% TKM_Geoksyur_N
0.051 papag25 = 71% TUR_Pinarbasi_HG + 29% RUS_Volga-Kama_N
0.051 papag25 = 64% DEU_LBK_KD + 36% RUS_Progress_En
0.051 papag25 = 60% CZE_Early_Slav + 40% DEU_LBK_KD
0.052 papag25 = 56% CZE_Early_Slav + 44% TUR_Pinarbasi_HG
0.052 papag25 = 68% TUR_Pinarbasi_HG + 32% RUS_Progress_En
0.052 papag25 = 68% DEU_LBK_KD + 32% RUS_Volga-Kama_N
0.053 papag25 = 69% TUR_Pinarbasi_HG + 31% CHN_Dzungaria_EBA1
0.053 papag25 = 80% England_N + 20% RUS_MA1
0.053 papag25 = 54% TUR_Barcin_N + 46% Baltic_EST_IA
0.053 papag25 = 83% England_N + 17% CHN_Tarim_EMBA1
0.054 papag25 = 77% England_N + 23% GEO_CHG
0.054 papag25 = 69% DEU_LBK_KD + 31% RUS_Samara_HG
0.054 papag25 = 82% England_N + 18% RUS_Sosonivoy_HG
0.054 papag25 = 82% England_N + 18% RUS_Tyumen_HG
0.055 papag25 = 83% England_N + 17% RUS_AfontovaGora3
0.055 papag25 = 59% DEU_LBK_KD + 41% RUS_Mezhovskaya
0.056 papag25 = 54% TUR_Barcin_N + 46% Baltic_EST_MA
0.056 papag25 = 62% TUR_Barcin_N + 38% Yamnaya_RUS_Samara
0.056 papag25 = 71% England_N + 29% RUS_Darkveti-Meshoko_En
0.056 papag25 = 82% England_N + 18% KAZ_Botai
0.056 papag25 = 73% TUR_Pinarbasi_HG + 27% RUS_Samara_HG
0.057 papag25 = 70% DEU_LBK_KD + 30% RUS_Karelia_HG
0.058 papag25 = 76% England_N + 24% Sargat_IA
0.058 papag25 = 59% DEU_LBK_KD + 41% RUS_Tagar
0.058 papag25 = 74% TUR_Pinarbasi_HG + 26% RUS_Karelia_HG
0.059 papag25 = 70% TUR_Barcin_N + 30% SWE_Motala_HG
0.059 papag25 = 59% TUR_Barcin_N + 41% RUS_Mezhovskaya
0.060 papag25 = 54% DEU_LBK_KD + 46% Baltic_EST_IA
0.060 papag25 = 79% England_N + 21% RUS_Samara_HG
0.060 papag25 = 63% TUR_Pinarbasi_HG + 37% RUS_Mezhovskaya
0.060 papag25 = 66% England_N + 34% Baltic_EST_MA
0.060 papag25 = 69% DEU_LBK_KD + 31% VK2020_NOR_North_LN_HG
0.060 papag25 = 66% England_N + 34% Baltic_EST_IA
0.061 papag25 = 78% England_N + 22% RUS_Krasnoyarsk_MLBA_o
0.061 papag25 = 78% England_N + 22% RUS_Volga-Kama_N
0.061 papag25 = 67% TUR_Barcin_N + 33% CHN_Dzungaria_EBA1
0.061 papag25 = 58% TUR_Pinarbasi_HG + 42% Baltic_EST_IA
0.061 papag25 = 64% TUR_Pinarbasi_HG + 36% RUS_Tagar
0.061 papag25 = 58% TUR_Pinarbasi_HG + 42% Baltic_EST_MA
0.062 papag25 = 53% DEU_LBK_KD + 47% Baltic_EST_MA
0.062 papag25 = 74% DEU_LBK_KD + 26% RUS_Sosonivoy_HG
0.062 papag25 = 72% DEU_LBK_KD + 28% RUS_MA1
0.062 papag25 = 73% TUR_Pinarbasi_HG + 27% VK2020_NOR_North_LN_HG
0.063 papag25 = 74% England_N + 26% RUS_Chalmny-Varre
0.063 papag25 = 80% England_N + 20% RUS_Karelia_HG
0.063 papag25 = 75% England_N + 25% FIN_Levanluhta_IA
0.063 papag25 = 75% DEU_LBK_KD + 25% RUS_Tyumen_HG
0.065 papag25 = 75% DEU_LBK_KD + 25% RUS_AfontovaGora3
0.065 papag25 = 78% England_N + 22% RUS_Nomad_MA
0.065 papag25 = 60% TUR_Barcin_N + 40% RUS_Tagar
0.065 papag25 = 72% TUR_Barcin_N + 28% Baltic_LVA_HG
0.066 papag25 = 60% TUR_Barcin_N + 40% Baltic_EST_BA
0.066 papag25 = 69% DEU_LBK_KD + 31% NOR_N_HG
0.066 papag25 = 79% England_N + 21% VK2020_NOR_North_VA_o1
0.066 papag25 = 73% TUR_Pinarbasi_HG + 27% NOR_N_HG
0.067 papag25 = 72% England_N + 28% Baltic_EST_BA
0.067 papag25 = 66% TUR_Barcin_N + 34% RUS_Progress_En
0.067 papag25 = 82% England_N + 18% RUS_Kusnarenkovo_Karajakupovo_MED
0.067 papag25 = 78% TUR_Pinarbasi_HG + 22% RUS_Sosonivoy_HG
0.067 papag25 = 78% TUR_Pinarbasi_HG + 22% RUS_AfontovaGora3
0.067 papag25 = 78% TUR_Pinarbasi_HG + 22% RUS_Tyumen_HG
0.068 papag25 = 76% TUR_Pinarbasi_HG + 24% RUS_MA1
0.068 papag25 = 74% DEU_LBK_KD + 26% KAZ_Botai
0.069 papag25 = 75% TUR_Barcin_N + 25% RUS_Sosonivoy_HG
0.069 papag25 = 83% England_N + 17% RUS_Bolshoy_Oleni_Ostrov
0.069 papag25 = 83% England_N + 17% IND_Roopkund_A
0.069 papag25 = 77% DEU_LBK_KD + 23% CHN_Tarim_EMBA1
0.070 papag25 = 64% TUR_Barcin_N + 36% RUS_Chalmny-Varre

[Beowulf]

Esto esta un poco muerto ya, XD.

[HelloGuys]

Esto esta un poco muerto ya, XD.

Hay temporadas que así pasa xd

[Beowulf]

Voy a poner mis resultados de from neolithic to bronze age calculator para revivir un poco esto:
Target: ivan
Distance: 0.7951% / 0.00795068
42.6 NorthWest_Europe_BA
16.8 SouthEasternEurope_Chalcolithic
10.2 Sicani_BA
7.8 Occitania_BA
6.2 ITA_Grotta_Continenza_CA
3.6 Levant_ISR_C
3.4 MAR_Taforalt
3.4 NorthernLevant_BA
3.2 WesternEurope_preBA
2.8 HUN_Fuzesabony_MBA

[HelloGuys]

Voy a poner mis resultados de from neolithic to bronze age calculator para revivir un poco esto:
Target: ivan
Distance: 0.7951% / 0.00795068
42.6 NorthWest_Europe_BA
16.8 SouthEasternEurope_Chalcolithic
10.2 Sicani_BA
7.8 Occitania_BA
6.2 ITA_Grotta_Continenza_CA
3.6 Levant_ISR_C
3.4 MAR_Taforalt
3.4 NorthernLevant_BA
3.2 WesternEurope_preBA
2.8 HUN_Fuzesabony_MBA

Prueba este modelo del link Iván:

https://www.theapricity.com/forum/showthread.php?367160-Try-my-G25-scaled-calculator-based-on-23andme-populations

[Beowulf]

Prueba este modelo del link Iván:

https://www.theapricity.com/forum/showthread.php?367160-Try-my-G25-scaled-calculator-based-on-23andme-populations


mis resultados:
Target:ivan
Distance: 2.3649% / 0.02364934
81.2 Southern_European
15.4 Northwestern_European
3.4 North_African

me parece buena yo tengo ancestros recientes en las islas britanicas asi que esta bien que lo detecte el NW :)


mi madre:
Target: Mama
Distance: 2.2544% / 0.02254405
75.6 Southern_European
22.2 Northwestern_European
2.2 North_African

mi padre:
Target: papaFTDNA
Distance: 2.8383% / 0.02838295
84.4 Southern_European
15.0 Northwestern_European
0.6 North_African

[mitalit]

mis resultados:
Target:ivan
Distance: 2.3649% / 0.02364934
81.2 Southern_European
15.4 Northwestern_European
3.4 North_African

me parece buena yo tengo ancestros recientes en las islas britanicas asi que esta bien que lo detecte el NW :)


mi madre:
Target: Mama
Distance: 2.2544% / 0.02254405
75.6 Southern_European
22.2 Northwestern_European
2.2 North_African

mi padre:
Target: papaFTDNA
Distance: 2.8383% / 0.02838295
84.4 Southern_European
15.0 Northwestern_European
0.6 North_African

Que te sale aqui?

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
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,-0.024168,0.002402,0.003308,0.001479,0.000904,0.009 7
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,-0.005798,0.006744,0.004479,0.001326,0.008605,0.001 267,0.00352,0.001376,0.003743,-0.004946,-0.00037,-0.00253,-0.007305
Jarawa,-0.021982,-0.243028,-0.132416,0.098697,0.032372,-0.004584,-0.01012,0.006505,0.054697,0.023805,0.022806,0.0027 35,-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,-0.088213,0.028507,0.043337,0.031088,0.012848,0.102 857,0.009412,-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,-0.630062,0.062501,0.022113,0.016708,0.000503,0.012 474,-0.044417,0.047767,-0.048881,0.032769,0.004621,0.00079,0.023056,0.0009 51,0.012523,-0.009607,0.007076,0.000449,0.006022,-0.00299,0.001554,0.002316,-0.001759,-0.000471,-0.000425

[gixajo]

Que te sale aqui?


¿Cómo va eso, amable señor de Abjasia?

[mitalit]

¿Cómo va eso, amable señor de Abjasia?

Pues ya sabes... aquí en Abjasia la vida es dura pero feliz. Tengo muchas ovejas y cabras y con voy tirando. Que tal tu en la Antártida? Tienes focas?=

[gixajo]

Pues ya sabes... aquí en Abjasia la vida es dura pero feliz. Tengo muchas ovejas y cabras y con voy tirando. Que tal tu en la Antártida? Tienes focas?=

Sí, suelo meterme en la cama con una foca a cada lado, para que me den calor.

Generalmente las suelo respetar, salvo que ellas me pidan cariño.

Al día siguiente me las como para desayunar. Salvo que les haya dado cariño por la noche, en ese caso, me da reparo comérmelas al día siguiente (espero dos días para hacerlo).

[mitalit]

Sí, suelo meterme en la cama con una foca a cada lado, para que me den calor.

Generalmente las suelo respetar, salvo que ellas me pidan cariño.

Al día siguiente me las como para desayunar. Salvo que les haya dado cariño por la noche, en ese caso, me da reparo comérmelas al día siguiente (espero dos días para hacerlo).

Yo no suelo respetar a las cabras... Pero no me juzgues, la vida en el campo es muy dura y solitaria

[gixajo]

Yo no suelo respetar a las cabras... Pero no me juzgues, la vida en el campo es muy dura y solitaria

No te excuses, el amor es así.

[Beowulf]

Que te sale aqui?

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
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,-0.024168,0.002402,0.003308,0.001479,0.000904,0.009 7
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,-0.005798,0.006744,0.004479,0.001326,0.008605,0.001 267,0.00352,0.001376,0.003743,-0.004946,-0.00037,-0.00253,-0.007305
Jarawa,-0.021982,-0.243028,-0.132416,0.098697,0.032372,-0.004584,-0.01012,0.006505,0.054697,0.023805,0.022806,0.0027 35,-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,-0.088213,0.028507,0.043337,0.031088,0.012848,0.102 857,0.009412,-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,-0.630062,0.062501,0.022113,0.016708,0.000503,0.012 474,-0.044417,0.047767,-0.048881,0.032769,0.004621,0.00079,0.023056,0.0009 51,0.012523,-0.009607,0.007076,0.000449,0.006022,-0.00299,0.001554,0.002316,-0.001759,-0.000471,-0.000425

me sale esto:
Target:ivan
Distance: 3.0590% / 0.03058987
56.0 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
11.4 WHG
3.6 MAR_Taforalt

no soy muy diferente al promedio con esto

el que mas estepa tiene en mi familia es mi abuelo materno:
Target: AbueloFTDNA
Distance: 3.8127% / 0.03812698
54.2 TUR_Barcin_N
31.4 Yamnaya_RUS_Samara
13.0 WHG
1.4 MAR_Taforalt

[Beowulf]

Que te sale aqui?

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
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,-0.024168,0.002402,0.003308,0.001479,0.000904,0.009 7
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,-0.005798,0.006744,0.004479,0.001326,0.008605,0.001 267,0.00352,0.001376,0.003743,-0.004946,-0.00037,-0.00253,-0.007305
Jarawa,-0.021982,-0.243028,-0.132416,0.098697,0.032372,-0.004584,-0.01012,0.006505,0.054697,0.023805,0.022806,0.0027 35,-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,-0.088213,0.028507,0.043337,0.031088,0.012848,0.102 857,0.009412,-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,-0.630062,0.062501,0.022113,0.016708,0.000503,0.012 474,-0.044417,0.047767,-0.048881,0.032769,0.004621,0.00079,0.023056,0.0009 51,0.012523,-0.009607,0.007076,0.000449,0.006022,-0.00299,0.001554,0.002316,-0.001759,-0.000471,-0.000425

me sale esto:
Target:ivan
Distance: 3.0590% / 0.03058987
56.0 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
11.4 WHG
3.6 MAR_Taforalt

no soy muy diferente al promedio con esto

el que mas estepa tiene en mi familia es mi abuelo materno:
Target: AbueloFTDNA
Distance: 3.8127% / 0.03812698
54.2 TUR_Barcin_N
31.4 Yamnaya_RUS_Samara
13.0 WHG
1.4 MAR_Taforalt


edit: hay alguno que pueda darme menos distancia?

[Gallop]

Ahora MTA ha añadido un botón de Admixture de las calculadoras Gedmatch, el mío y el de mi padre.

https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiftq57W6QNwy5D2F7mLZwuoIKblrYRNvfoEubHEGOGEC Yfjd3fgv_BbNKevljVdbWdzSjDPAsFakHYN3cuKvbdi37eX7E8 moSI7tiHmJpCCE9LTn7IbpnE600CiW3-gRm3bE6RVSaIdZufjWBStyv-tk_cTPukRhL6p5RNlXlvWVOazqIULORG5HEQ/s1023/k15M%C3%8DOYpapa.jpg

[Gallop]

Y aquí el Mdlp no sé qué, de no sé cuántos del coño de mi tía Laura.

Aquí el West Asia se nos iguala. He tenido que escribir yo el Artic Amerind porque no salía el texto, a mí no me ha salido. Indo iranian me sale más bajo 0.30% no ha salido el texto en la web, el verde muy pequeñito es South Africa, 0.5% mi padre, las típicas trazas que te las meten por donde te quepan.

https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjya4HLBKzxpkRt_Kt2xQMsDVTW45ysVZoV2Wl5bXiLHl kPg2YMSeu2aw6FrM7og5qNZniEAqYHl1hxR5zJTf5Tsto2RoS8 E_9X_pjvyAr12i-OHMCisBElOdCaOx8rPJYSfz989llX2G87ygDyHldZKADjjnRFn GMA8tXh-y8Ze4tftnwIcWUCIFBl/s1156/World22MINEd%C3%BAo.jpg

Somos Indo iranianos y de los Árticos.

[mitalit]

me sale esto:
Target:ivan
Distance: 3.0590% / 0.03058987
56.0 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
11.4 WHG
3.6 MAR_Taforalt

no soy muy diferente al promedio con esto

el que mas estepa tiene en mi familia es mi abuelo materno:
Target: AbueloFTDNA
Distance: 3.8127% / 0.03812698
54.2 TUR_Barcin_N
31.4 Yamnaya_RUS_Samara
13.0 WHG
1.4 MAR_Taforalt


edit: hay alguno que pueda darme menos distancia?

Y cual de tus ancestros es de las islas británicas? Supongo que es bastante lejano? Un tatarabuelo?

[Beowulf]

Y cual de tus ancestros es de las islas británicas? Supongo que es bastante lejano? Un tatarabuelo?

Dos bisbauelos

[mitalit]

Dos bisbauelos

Un 25%? Tienes los resultados de tu abuelo/abuela que tenga la sangre británica? o son dos abuelos medio británicos?

[Beowulf]

Un 25%? Tienes los resultados de tu abuelo/abuela que tenga la sangre británica? o son dos abuelos medio británicos?

mi abuelo materno es vasco-Balear+ britanico y mi abuela materna andaluza-Gallega + britanico+ lituania(ancestro lejano)

[Beowulf]

Un 25%? Tienes los resultados de tu abuelo/abuela que tenga la sangre británica? o son dos abuelos medio británicos?

mi abuelo:
Target: AbueloFTDNA
Distance: 0.8825% / 0.00882464
41.0 Great_Britain_Ireland
33.2 Iberian_Penninsula
22.6 Sardinia
1.6 Arabia
1.6 France

mi abuela:
Target: abuelaftdna
Distance: 0.8184% / 0.00818389
28.2 Sardinia
24.8 Great_Britain_Ireland
12.6 Iberian_Penninsula
11.4 Baltic_States
7.6 Scandinavia
7.0 Italy
4.4 Arabia
4.0 West_North_Africa

[HelloGuys]

me sale esto:
Target:ivan
Distance: 3.0590% / 0.03058987
56.0 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
11.4 WHG
3.6 MAR_Taforalt

no soy muy diferente al promedio con esto

el que mas estepa tiene en mi familia es mi abuelo materno:
Target: AbueloFTDNA
Distance: 3.8127% / 0.03812698
54.2 TUR_Barcin_N
31.4 Yamnaya_RUS_Samara
13.0 WHG
1.4 MAR_Taforalt


edit: hay alguno que pueda darme menos distancia?

A ver, intenta este:

Iberomaurusian: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
Indo-European_Steppe_Pastoralist:Yamnaya_RUS_Samara,0.1 255849,0.089028,0.0426986,0.1153479,-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
Western_Hunter-Gatherer:ITA_Grotta_Continenza_Meso,0.1225497,0.11 20467,0.2008793,0.2048907,0.1728527,0.0618207,0.01 60593,0.0412293,0.108602,0.0271533,-0.0193243,-0.0143373,0.0162043,-0.0086703,0.0708007,0.069035,0.0002173,0.0120353,-0.0099303,0.0637807,0.118,0.0113347,-0.0608843,-0.1971763,0.021994
Caucasus_Hunter-Gatherer:GEO_CHG:KK1,0.091058,0.102568,-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
Anatolian_Neolithic_Farmer: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

[Beowulf]

A ver, intenta este:

Iberomaurusian: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
Indo-European_Steppe_Pastoralist:Yamnaya_RUS_Samara,0.1 255849,0.089028,0.0426986,0.1153479,-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
Western_Hunter-Gatherer:ITA_Grotta_Continenza_Meso,0.1225497,0.11 20467,0.2008793,0.2048907,0.1728527,0.0618207,0.01 60593,0.0412293,0.108602,0.0271533,-0.0193243,-0.0143373,0.0162043,-0.0086703,0.0708007,0.069035,0.0002173,0.0120353,-0.0099303,0.0637807,0.118,0.0113347,-0.0608843,-0.1971763,0.021994
Caucasus_Hunter-Gatherer:GEO_CHG:KK1,0.091058,0.102568,-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
Anatolian_Neolithic_Farmer: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

un poco altas las distancias tambien

Target: ivanFTDNA
Distance: 3.0685% / 0.03068520
56.6 Anatolian_Neolithic_Farmer
30.2 Indo-European_Steppe_Pastoralist
9.8 Western_Hunter-Gatherer
3.4 Iberomaurusian

[Beowulf]

esta me baja mas:
Target: ivanFTDNA
Distance: 1.8751% / 0.01875139
30.4 Yamnaya
21.8 EasternNeolithic
20.2 Sweden_Neolithic
20.0 WesternNeolithic
3.0 Aegean_Neolithic
2.8 MAR_Taforalt
1.8 Natufian

[Beowulf]

otra calculadora G25:
Target:ivan
Distance: 0.5064% / 0.00506384
22.6 Iberian_Ma
21.8 Celtic_England
18.2 Iberian
14.6 Ancient_Sicilia
10.2 Punic
4.0 Baltic
3.8 South_Levant
2.4 Liguria
1.6 Phoenicia
0.4 South_Semitic
0.2 Early_Slav
0.2 South_Asian

[Gallop]

un poco altas las distancias tambien

Target: ivanFTDNA
Distance: 3.0685% / 0.03068520
56.6 Anatolian_Neolithic_Farmer
30.2 Indo-European_Steppe_Pastoralist
9.8 Western_Hunter-Gatherer
3.4 Iberomaurusian


Lo he hecho también, gentiliza de Helloguys


Target: Gallop_scaled
Distance: 3.4636% / 0.03463634
53.0 Anatolian_Neolithic_Farmer
30.2 Indo-European_Steppe_Pastoralist
12.0 Western_Hunter-Gatherer
4.8 Iberomaurusian

Target: Father_scaled
Distance: 3.4161% / 0.03416116
53.2 Anatolian_Neolithic_Farmer
30.0 Indo-European_Steppe_Pastoralist
11.6 Western_Hunter-Gatherer
5.2 Iberomaurusian

---------------------------------------------------------------------

Target: Gallop_scaled
Distance: 2.1888% / 0.02188764
79.2 Father_scaled
10.4 Anatolian_Neolithic_Farmer
4.4 Indo-European_Steppe_Pastoralist
3.4 Western_Hunter-Gatherer
2.2 Caucasus_Hunter-Gatherer
0.4 Iberomaurusian

Target: Father_scaled
Distance: 2.1975% / 0.02197452
73.8 Gallop_scaled
14.0 Anatolian_Neolithic_Farmer
7.6 Indo-European_Steppe_Pastoralist
2.8 Western_Hunter-Gatherer
1.8 Iberomaurusian


Tengo una entrada de hunter Caucasus que no tiene mi padre y me baja un pelín más que él el Farmer e Indoeuropeo, pero no el Western Hunterer, quizá esté relacionado con mi resultado alano que me he visto otras veces.

[Beowulf]

Lo he hecho también, gentiliza de Helloguys


Target: Gallop_scaled
Distance: 3.4636% / 0.03463634
53.0 Anatolian_Neolithic_Farmer
30.2 Indo-European_Steppe_Pastoralist
12.0 Western_Hunter-Gatherer
4.8 Iberomaurusian

Target: Father_scaled
Distance: 3.4161% / 0.03416116
53.2 Anatolian_Neolithic_Farmer
30.0 Indo-European_Steppe_Pastoralist
11.6 Western_Hunter-Gatherer
5.2 Iberomaurusian

---------------------------------------------------------------------

Target: Gallop_scaled
Distance: 2.1888% / 0.02188764
79.2 Father_scaled
10.4 Anatolian_Neolithic_Farmer
4.4 Indo-European_Steppe_Pastoralist
3.4 Western_Hunter-Gatherer
2.2 Caucasus_Hunter-Gatherer
0.4 Iberomaurusian

Target: Father_scaled
Distance: 2.1975% / 0.02197452
73.8 Gallop_scaled
14.0 Anatolian_Neolithic_Farmer
7.6 Indo-European_Steppe_Pastoralist
2.8 Western_Hunter-Gatherer
1.8 Iberomaurusian



a ver prueba esta a mi me da menor distancias:


EasternNeolithic:AUT_LBK_N:__BC__5250_5000__k8,0.1 22075375,0.183937875,0.015792,-0.088542375,0.064242625,-0.04280975,-0.002320625,-0.003778875,0.04499525,0.086038125,0.00793675,0.01 0509375,-0.020403625,0.002528875,-0.038205375,-0.012960625,0.0148475,0.0011245,0.014643625,-0.00964525,-0.006738,0.009830375,-0.00585425,-0.006491875,-0.00585275
EasternNeolithic:DEU_LBK_N:__BC__5250_5000__k24,0. 123645593,0.182456667,0.014609926,-0.086659704,0.061766481,-0.042546296,-0.003237815,-0.004487,0.043343815,0.086359704,0.007776556,0.012 966148,-0.023081,-0.000076444,-0.03818763,-0.006835741,0.018698037,0.002228815,0.014152704,-0.009685185,-0.010218074,0.006503185,-0.008138778,-0.004302148,-0.004466296
EasternNeolithic:ITA_Ripabianca_di_Monterado_N:__B C__5300_5200__k4,0.12463625,0.17746375,0.013859,-0.07517825,0.0597805,-0.03771975,-0.00252625,-0.00144225,0.04141625,0.084694,0.00138025,0.014237 25,-0.02705625,-0.00289,-0.026669,-0.00195575,0.0156135,0.0035475,0.00738475,-0.0041895,-0.002589,0.00293675,-0.00813425,-0.017141,0.00074825
EasternNeolithic:ITA_Grotta_Continenza_N:__BC__600 0_5500__k5,0.1222458,0.1842168,0.0082966,-0.0902462,0.0553334,-0.044957,-0.0058282,-0.0081228,0.0436042,0.0857604,0.0063658,0.0136678,-0.0239346,-0.0047618,-0.0360746,-0.0112964,0.0194534,0.0015456,0.0086482,-0.0130314,-0.012827,0.0041546,-0.002465,-0.0036872,-0.0021554
EasternNeolithic:ITA_Sicily_MN:__BC__4900_4750__k4 ,0.12492075,0.17873325,0.02413575,-0.0679915,0.06578125,-0.039254,-0.00299625,-0.00092325,0.046887,0.085013,0.001015,0.0106405,-0.02151875,-0.00099775,-0.03097825,-0.00662925,0.0178625,0.00342075,0.007542,-0.008723,-0.004024,0.007543,-0.006994,-0.0182255,-0.00134725
EasternNeolithic:HRV_Pop_MN:__BC__4700_4500__k19,0 .114661737,0.177022737,0.016097,-0.085476053,0.059557632,-0.039441,-0.002894211,-0.001530368,0.042401,0.082533737,0.006623789,0.012 596737,-0.023394368,-0.001455789,-0.035080105,-0.012051632,0.013765842,0.001933684,0.012238947,-0.011281632,-0.010520842,0.004679263,-0.004235895,-0.003627421,-0.002892789
EasternNeolithic:HRV_Cardial_N:__BC__6000_5600__k5 ,0.1238396,0.1815768,0.012068,-0.0998718,0.0587802,-0.045515,-0.0067682,-0.004292,0.0481858,0.094362,0.0096458,0.0151066,-0.0235182,0.0018166,-0.0402818,-0.0157518,0.0160372,-0.0004814,0.0090504,-0.0093296,-0.0089592,0.0051438,-0.0039688,-0.0098566,-0.006706
EasternNeolithic:Sopot_MN:__BC__5700_4600__k6,0.12 3687667,0.187365167,0.010685167,-0.090870833,0.0622165,-0.045366333,-0.004739167,-0.005846,0.046836,0.087078333,0.005331667,0.012588 667,-0.018979,0.0034405,-0.040829333,-0.015778167,0.015124333,0.001309167,0.009678833,-0.011067667,-0.0102525,0.004554667,-0.003019667,-0.005322,-0.005268833
EasternNeolithic:Koros_Starcevo_N:__BC__5750_5550_ _k9,0.121284889,0.184826333,0.008171,-0.097797556,0.057993667,-0.049301667,-0.002585111,-0.004871556,0.043381778,0.086218,0.006333222,0.012 488889,-0.023934333,0.000932778,-0.037654778,-0.017222111,0.013473,0.000943111,0.012304222,-0.013214667,-0.014682444,0.007556556,-0.004861444,-0.003320333,-0.00314
EasternNeolithic:Vinca_MN:__BC__5250_5000__k4,0.12 0368,0.17746375,0.008768,-0.0873715,0.06116525,-0.042182,-0.00452375,-0.00196125,0.04387,0.082553,0.0060895,0.01330075,-0.0201435,-0.00206425,-0.039189,-0.00944675,0.023078,0.00275575,0.01150125,-0.00862925,-0.00935875,0.00711,-0.00332775,-0.00274125,-0.00931075
EasternNeolithic:HUN_ELBK_ALP_MN:__BC__5200_4200__ k21,0.125671,0.176563591,0.023570045,-0.074245955,0.066389909,-0.037358682,-0.001121591,-0.001007045,0.043163864,0.080051318,0.006215,0.010 940227,-0.019852955,0.002445955,-0.037798045,-0.011203818,0.012611727,0.003483909,0.011404182,-0.010095818,-0.006477182,0.006997545,-0.007753409,-0.012630409,-0.003706727
EasternNeolithic:HUN_Lengyel_LN:__BC__4750_4050__k 7,0.126831429,0.177717714,0.020579857,-0.080288571,0.062868714,-0.040120429,-0.003122286,-0.002868143,0.046894571,0.080183714,0.010137571,0. 009334429,-0.020132857,0.003145571,-0.036605714,-0.013978714,0.015068571,0.002479429,0.012498,-0.009611714,-0.012442286,0.004204143,-0.005669429,-0.008159429,-0.001984571
EasternNeolithic:SRB_N:__BC__5750_4600__k4,0.12776 625,0.18228775,0.010748,-0.0957695,0.05747225,-0.04406475,-0.00094,-0.005769,0.039013,0.08688125,0.00369425,0.01315075 ,-0.022262,0.00141075,-0.03915525,-0.01369,0.02027475,0.000697,0.01241275,-0.0138505,-0.007331,0.00621375,-0.00831925,0.00201825,0.00005975
EasternNeolithic:POL_BKG_N:__BC__4300_4200__k6,0.1 21600833,0.171793667,0.033626667,-0.061423833,0.069346167,-0.032397667,0.000391667,-0.000230833,0.045949667,0.078573833,0.0023545,0.00 93915,-0.017715333,0.003096667,-0.030107333,-0.005568833,0.011647667,0.002871667,0.012863167,-0.0093795,-0.0042425,0.007481167,-0.007969833,-0.019038833,-0.003472833
EasternNeolithic:GRC_N:I5427___BC_5933___Coverage_ 66.65%,0.118376,0.18178,-0.001131,-0.105622,0.057241,-0.051037,-0.00423,-0.003923,0.039064,0.090207,0.003735,0.013638,-0.019177,-0.007569,-0.046959,-0.004243,0.040028,0.003927,0.004022,-0.013506,-0.012228,0.014096,0.00037,0.001325,-0.004311
EasternNeolithic:CZE_N:__BC__5250_4400__k7,0.12276 6143,0.182795286,0.021334286,-0.082595714,0.064847,-0.044503143,-0.003558571,-0.002076714,0.047274286,0.083386143,0.004732286,0. 012610286,-0.024890143,0.004364571,-0.034065714,-0.008504714,0.013615714,0.000687571,0.012964857,-0.008236143,-0.006435143,0.008602429,-0.008521571,-0.008124857,-0.004447857
EasternNeolithic:France_AlsaceLingolsheim_MN:__BC_ _4700__k3,0.123687333,0.173994333,0.020993333,-0.069983333,0.070372,-0.038115,-0.005561667,-0.005999667,0.045540667,0.080913,0.010501333,0.015 936,-0.025669,0.001789,-0.029496667,-0.013877667,0.007996667,0.006419,0.011983333,-0.009504667,-0.002911667,0.003379667,-0.004108333,-0.015303,0.001157333
EasternNeolithic:ROU_Starcevo_N:__BC__5650__5400__ k2,0.126913,0.1848265,0.011125,-0.0999685,0.05878,-0.0541045,-0.00094,-0.004615,0.0459155,0.091574,0.0043845,0.013563,-0.027428,0.0013765,-0.0468235,-0.0113365,0.024838,0.0012035,0.0117525,-0.012318,-0.014662,0.0054405,-0.006532,0.0038555,-0.0070055


WesternNeolithic:Sardinia_N:__BC__4350_3850__k5,0. 1201974,0.1748742,0.0429918,-0.0535534,0.0780454,-0.029172,-0.006392,0.0015692,0.0629932,0.094289,0.0031506,0. 0159756,-0.0350544,-0.0134594,-0.0193538,-0.0040042,0.0115,-0.0011148,0.0076926,-0.008329,0.0036184,0.003586,-0.015258,-0.0290884,0.0016286
WesternNeolithic:Ireland_LN:__BC__3000_2550__k5,0. 1238394,0.172843,0.053551,-0.0412794,0.0830308,-0.0247656,-0.004512,-0.0005078,0.0649158,0.086635,-0.0018186,0.0159158,-0.0298512,-0.0129366,-0.0084148,0.0018034,0.0105872,0.0052958,0.0041982,-0.003777,0.0139004,0.0067512,-0.014913,-0.0314502,0.0037122
WesternNeolithic:Ireland_ENMN:__BC__3800_3000__k35 ,0.126153944,0.170806361,0.052744528,-0.037656417,0.0853235,-0.024348722,-0.003335694,0.001096083,0.0618855,0.087797278,-0.000969861,0.013200694,-0.028100972,-0.012481583,-0.010190306,0.003126917,0.013277389,0.004201861,0. 002562944,-0.001271444,0.011053389,0.00477775,-0.014269333,-0.031667861,0.001343833
WesternNeolithic:EnglandWales_N:__BC__3750_2950__k 13,0.124855154,0.169827615,0.054305385,-0.037070462,0.084252385,-0.022161154,-0.004609692,0.001100462,0.063654,0.088917154,0.001 486385,0.013268923,-0.027788231,-0.011348538,-0.008915769,0.002437538,0.011875,0.002689615,0.002 378538,-0.002328,0.010443077,0.003367077,-0.013680615,-0.032729385,0.000082846
WesternNeolithic:Scotland_N:__BC__3700_2450__k27,0 .126814552,0.168998,0.053629138,-0.033547448,0.085978931,-0.02301331,-0.003776276,0.002824828,0.063268483,0.085588103,-0.00047031,0.012330448,-0.027240793,-0.011436931,-0.007792276,0.002953517,0.008614276,0.004364241,0. 004282345,-0.004286517,0.011380828,0.003031724,-0.015104138,-0.032833862,-0.000280862
WesternNeolithic:Ireland_Megalithic:__BC__3750_345 0__k4,0.1271975,0.1716245,0.047706,-0.041344,0.0817075,-0.026425,-0.00299625,0.0013845,0.061306,0.085651,-0.0010555,0.015886,-0.02898875,-0.0103215,-0.01133275,-0.00056325,0.01502675,0.00354725,0.00292275,-0.00409575,0.00885925,0.0054715,-0.012417,-0.0278955,-0.00089825
WesternNeolithic:Scotland_Megalithic:bal004___BC_3 236___Coverage_66.83%,0.132035,0.169593,0.050911,-0.039729,0.087093,-0.019522,0.000705,-0.002308,0.056449,0.080184,-0.002923,0.013638,-0.035827,-0.022432,-0.011536,-0.002121,0.010691,0.002534,0.005405,-0.008129,0.008859,0.003091,-0.016022,-0.034583,0.00012
WesternNeolithic:Switzerland_LN:__BC__4400_2600__k 35,0.125714605,0.170475342,0.050504474,-0.041055,0.082768447,-0.027257921,-0.005634053,0.002750868,0.061098789,0.086960158,0. 000200895,0.014675184,-0.028934079,-0.011962289,-0.011732658,0.0006455,0.008605421,0.002940474,0.00 3215184,-0.004781895,0.011542158,0.004174974,-0.014115079,-0.030156526,0.000551447
WesternNeolithic:Iberia_North_MLN:__BC__3100__k8,0 .130042875,0.164261875,0.069296,-0.01962225,0.09428675,-0.019278375,-0.00605125,0.004182625,0.06511525,0.090206875,-0.003247625,0.01346925,-0.03088425,-0.01752975,-0.00369825,0.00541975,0.008263,0.000427625,0.00014 1375,-0.000531375,0.016018375,0.003972125,-0.014004125,-0.04315375,0.0040265
WesternNeolithic:Iberia_Northeast_MLN:__BC__2950__ k7,0.125856143,0.170463714,0.052904714,-0.039406,0.090170714,-0.021235429,-0.004901571,0.003955857,0.063431571,0.094424429,-0.002064571,0.016785286,-0.030709143,-0.017576286,-0.005138,0.001098714,0.005196714,0.003203429,-0.000520857,-0.004127,0.011533143,0.005122857,-0.017008286,-0.036631857,0.000769857
WesternNeolithic:Iberia_Southeast_MLN:__BC__3700_2 850__k7,0.126181143,0.167707286,0.045793429,-0.042959,0.083839857,-0.027490571,-0.007117286,-0.000659429,0.068690857,0.094320143,0.000858286,0. 018133714,-0.032938857,-0.014214429,-0.007600143,-0.003390571,0.001378286,0.002968,0.001885714,-0.004645143,0.007771857,0.003886286,-0.016127857,-0.037768,0.000547286
WesternNeolithic:Iberia_Southwest_MLN:__BC__5000_4 000__k4,0.1243515,0.1650235,0.047423,-0.04643125,0.08409275,-0.027122,-0.00681525,0.00069225,0.066777,0.0934415,0.0024765 ,0.01408725,-0.02713075,-0.0134525,-0.00868625,-0.00062975,0.00837725,0.00617625,0.0021685,-0.0051275,0.01279025,0.0045135,-0.0173165,-0.03611975,0.00098775
WesternNeolithic:Iberia_CentreNE_MN:__BC__3750__k4 ,0.12122175,0.16273875,0.05232525,-0.033592,0.0853235,-0.0214745,-0.00987025,-0.0010385,0.06432275,0.09230275,-0.003004,0.01386275,-0.032854,-0.01572325,-0.00817725,-0.0003315,0.01095225,0.004244,-0.001257,-0.00544,0.01818675,0.00463675,-0.01555975,-0.04057825,0.00242475
WesternNeolithic:FRA_Occitanie_MN:CRE20D___BC_4300 ___Coverage_22.52%,0.114961,0.167562,0.048649,-0.055556,0.082477,-0.039881,-0.00517,0.005538,0.061766,0.092576,0.003248,0.0181 34,-0.022894,-0.016102,-0.014251,0.003845,0.029728,-0.002914,0.004399,0.009254,0.008735,-0.00136,-0.025636,-0.028076,0.002634
WesternNeolithic:France_Channel_FLR_MN:__BC__4600_ 4000__k9,0.125584889,0.175122444,0.038801444,-0.055161222,0.074543667,-0.031762556,-0.003081111,-0.003589667,0.062970444,0.094013556,0.001696111,0. 014736889,-0.032342,-0.013624667,-0.016889556,0.00028,0.013704778,0.002336778,0.0038 82556,-0.007864667,0.000429667,0.001470111,-0.010010444,-0.021783444,-0.000039889
WesternNeolithic:France_Atlantic_PRI_MN:__BC__4250 __k2,0.1217905,0.17264,0.0465745,-0.044897,0.0753985,-0.029005,-0.0015275,-0.004269,0.06238,0.098134,0.0098245,0.015661,-0.029732,-0.014657,-0.0069895,0.003845,0.011213,0.006461,-0.00088,-0.000938,0.007549,-0.0024115,-0.0136805,-0.033619,0.0060475
WesternNeolithic:France_Central_GRG_MN:__BC__4750_ 4100__k21,0.125476429,0.174574381,0.040495571,-0.053894857,0.081084667,-0.03324119,-0.002976714,-0.000494476,0.060285857,0.094728095,0.000742238,0. 015650381,-0.033045143,-0.015125429,-0.015956857,0.001003857,0.016856762,0.003221476,0. 00493819,-0.006199429,0.004385143,0.003203095,-0.010927952,-0.024926048,-0.000296524
WesternNeolithic:FRA_Mont_Aime_MLN:__BC__3250_2900 __k7,0.129107857,0.168577857,0.059315714,-0.024686429,0.090170714,-0.018725571,-0.002316429,0.005802,0.06051,0.084765857,-0.002018143,0.011454,-0.025951857,-0.011894429,-0.009500429,0.011308,0.022016429,0.006624,0.006285 ,0.007289143,0.012602571,0.003639,-0.015000857,-0.034875857,0.001950143
WesternNeolithic:FRA_MLN_Clos_de_Roque_Provence:__ BC__4700__k3,0.126343667,0.174332333,0.05066,-0.037791,0.088221333,-0.031142667,-0.005248333,-0.001538,0.065243,0.093912,-0.000541333,0.014587333,-0.030475667,-0.018120667,-0.009410333,0.004994333,0.013646667,0.002871667,-0.000796,-0.001042333,0.011978667,0.001112667,-0.016885,-0.029281333,0.000878333
WesternNeolithic:FRA_Hauts_De_France_MN:__BC__4600 _4100__k2,0.128051,0.180764,0.0546825,-0.0415055,0.091094,-0.0126895,0.0044655,-0.001269,0.051335,0.0852865,0.001218,0.0130385,-0.0289145,-0.015276,-0.012486,-0.009679,0.0100395,-0.0076645,0.0022625,-0.0021885,0.006551,0.000989,-0.0097365,-0.036873,-0.002934
WesternNeolithic:France_Provence_ENMN_LBR:__BC__50 50_4700__k4,0.12634375,0.1713705,0.05732225,-0.03496475,0.0840925,-0.026355,-0.0076965,0.001269,0.06555,0.08879475,-0.00081175,0.01015325,-0.0305125,-0.019783,-0.01289325,0.00934775,0.01672175,-0.00015825,-0.0006285,0.0003125,0.00633275,-0.000371,-0.0134035,-0.03831875,0.000479
WesternNeolithic:FRA_Bretagne_N:__BC__3750_3050__k 5,0.1258882,0.168781,0.058906,-0.0279718,0.0873394,-0.020917,-0.00517,0.0033228,0.0659792,0.091519,-0.0012988,0.0145368,-0.0302082,-0.0140924,-0.0043974,0.002811,0.0060758,0.0035978,0.004123,-0.001451,0.0154228,0.0042044,-0.018241,-0.0393068,0.0026826
WesternNeolithic:Iberia_Andalusia_N:__BC__5200_495 0__k3,0.125964333,0.166208333,0.037083333,-0.045435333,0.075809,-0.023519667,-0.004778667,0.004615333,0.064629667,0.089599333,-0.000541333,0.014387333,-0.028493333,-0.011147667,-0.014386333,-0.008264667,0.005867333,0.001605,0.006662,0.001667 333,0.011147,0.000412,-0.008997,-0.031289333,-0.004031667
WesternNeolithic:DEU_Baalberge_MN:__BC__3600_3200_ _k3,0.126343667,0.173655667,0.047014333,-0.042528333,0.080015,-0.032630333,-0.005248667,0.007384333,0.057948333,0.083342667,-0.001299333,0.012688667,-0.021159333,-0.00367,-0.021398667,0.008264667,0.018949,0.005447333,0.005 488667,-0.002292667,0.003618667,0.003627333,-0.015570333,-0.024260333,-0.006027333
Iberia_Pirenei_N_(WesternNeolithic_o):__BC__5250_4 750__k6,0.122928833,0.180256333,0.0327465,-0.0712215,0.0772965,-0.039137667,-0.004269167,-0.004076667,0.060402667,0.1046035,0.0034645,0.0161 85333,-0.037214833,-0.010734667,-0.0212855,-0.004707,0.008170667,0.0019635,0.0039385,-0.011339,-0.0018715,0.005193333,-0.0077235,-0.019741667,0.002155333


Sweden_Neolithic:SWE_Megalithic:__BC__3200_2750__k 4,0.12463625,0.164008,0.06062225,-0.015504,0.08409275,-0.0133865,-0.0008225,0.00565375,0.053074,0.0665615,0.000203,0 .0037465,-0.01181875,-0.004851,-0.0110275,0.01289475,0.009583,0.00209025,0.0068507 5,0.00143825,0.0093585,0.00432775,-0.01189325,-0.03154075,0.00218525
Sweden_Neolithic:Sweden_PittedWare:__BC__3250_2500 __k14,0.128701214,0.114537214,0.136760214,0.131785 ,0.0829385,0.038765929,0.000671357,0.0130545,0.042 833143,-0.012470071,0.002099357,-0.010951071,0.016342,-0.017025786,0.019873357,0.035410786,0.005429714,0. 0037735,-0.000323214,0.029996571,0.043726429,0.010174786,-0.023549143,-0.085451,0.002942286


Sweden_HG:SWE_Motala_HG:__BC__5800_5600__k5,0.1324 9,0.0895696,0.1651034,0.187341,0.0864774,0.0551646 ,-0.00235,0.008538,0.0376324,-0.0389258,0.0016562,-0.0187034,0.0310404,-0.0173406,0.0315686,0.049297,0.005763,0.0024324,-0.006335,0.039744,0.0507604,0.014418,-0.022086,-0.0977008,0.0070412


Baltic_HG:Baltic_LTU_Narva:__BC__5200_4300__k6,0.1 32034667,0.110692833,0.180326333,0.184218667,0.119 971167,0.0524315,0.010810333,0.028614333,0.0592778 33,-0.019074,-0.005521333,-0.019507667,0.027378333,0.004564333,0.032572833,0. 047003167,0.003585667,0.005299667,-0.006494333,0.043645667,0.066341167,0.007728333,-0.029250833,-0.113991833,0.011056667
Baltic_HG:Baltic_LVA_HG:__BC__6550_4750__k14,0.129 606533,0.1013498,0.181093267,0.197181733,0.1085944 67,0.0560198,0.0086326,0.021737467,0.053517067,-0.025051333,-0.005282933,-0.018713333,0.0277798,-0.004092067,0.0364456,0.0484306,0.003268133,0.0042 81933,-0.0058576,0.042712133,0.062789133,0.0129918,-0.026983,-0.1134378,0.010426133



Ukraine_N_HG:__BC__6150_4600__k11,0.128309636,0.08 8074273,0.146974182,0.179148545,0.063872,0.0538005 45,-0.000769091,0.010887545,0.022144455,-0.047977727,0.002716182,-0.016771545,0.026434636,-0.012636455,0.027378364,0.034147909,0.000177818,0. 000886909,-0.005336455,0.029139,0.033928818,0.013006091,-0.009277364,-0.064401,0.001687455


TUR_Boncuklu_N:__BC__8250_7650__k4,0.1142784,0.167 9686,0.0128974,-0.0709954,0.0554564,-0.0378732,-0.0038072,-0.0037382,0.0340328,0.0773408,0.0096784,0.014747,-0.0301784,0.0010736,-0.0390874,-0.0059402,0.0283978,0.0045102,0.0093016,-0.0092796,-0.009583,0.009645,-0.0096132,-0.0117366,-0.003952
BGR_N:__BC__6000_5300__k4,0.120368,0.183049,0.0082 9675,-0.086241,0.0510865,-0.04294925,0.00235,-0.002942,0.0388085,0.085742,0.01376225,0.01333825,-0.0244175,-0.00013775,-0.03504975,-0.0144855,0.02167625,0.00304075,0.007982,-0.01172425,-0.0129145,0.00949025,-0.0033585,-0.00521175,-0.005269


TUR_Barcin_N:__BC__6350_5950__k20,0.117599818,0.18 0118,0.003531227,-0.101158045,0.051044273,-0.048387545,-0.004358227,-0.006933364,0.036228727,0.080747273,0.007971818,0. 011880318,-0.0234545,0.000469136,-0.041980682,-0.010191273,0.023309091,0.001986636,0.013695364,-0.009748909,-0.014224864,0.005772318,-0.004123182,-0.003165818,-0.004343682


Aegean_Neolithic:TUR_Tepecik_Ciftlik_N:__BC__6550_ 6100__k4,0.108701,0.17314775,-0.01433075,-0.100534,0.02708175,-0.04022975,-0.00458275,-0.005019,0.02623,0.05745,0.008444,0.0080555,-0.01018325,0.00522975,-0.03521925,-0.01047475,0.00886625,0.00044325,0.005342,-0.00328275,0.00268275,0.0044515,-0.0071795,-0.00382575,-0.0045805
Aegean_Neolithic:TUR_Kumtepe_N:kum6___BC_3665___Co verage_10.98%,0.106994,0.174671,-0.015839,-0.077843,0.019696,-0.034304,-0.015746,-0.007154,0.028429,0.055764,0.009094,0.018883,-0.02661,0.018717,-0.027144,-0.012331,0.005998,-0.010895,0.0225,-0.006753,-0.007861,0.001113,-0.006409,-0.003012,0.005748
Aegean_Neolithic:TUR_Catalhoyuk_N_Ceramic:__BC__65 50_6150__k3,0.096749667,0.177717667,-0.008422333,-0.119295667,0.031800333,-0.057358333,-0.001488333,-0.017999333,0.021202333,0.061960333,0.014560667,0. 004196333,-0.016551,0.007752667,-0.031396667,-0.027932,0.003955,0.001140333,0.019818333,-0.013673333,-0.011563,0.008738,-0.004354667,0.006225667,-0.007464333
Aegean_Neolithic:GRC_Peloponnese_N:__BC__5400_3750 __k5,0.1192866,0.176702,-0.0080704,-0.0965124,0.0409306,-0.0416662,-0.001645,-0.0051228,0.0253202,0.0726758,0.0066578,0.012499,-0.0241424,-0.0007708,-0.0353146,-0.0086448,0.0185666,0.000532,0.0104078,-0.0138568,-0.018193,0.0007172,-0.004289,-0.000699,-0.004766
Aegean_Neolithic:BGR_Krepost_N:I0679_d___BC_5667__ _Coverage_20.39%,0.1161,0.152329,-0.024513,-0.071383,0.020311,-0.042112,-0.003525,-0.012461,0.005113,0.047746,-0.006333,0.009292,-0.014866,-0.013625,-0.029451,-0.014187,0.019297,0.002027,0.006536,-0.00963,-0.012977,-0.001113,-0.006162,0.000964,-0.001676


DEU_Wartberg_MN:__BC__3250___k25,0.118165222,0.164 214852,0.079265148,0.007787889,0.103392519,-0.01092837,-0.000774667,0.005563852,0.073264889,0.073960852,-0.004053704,0.010423963,-0.018544074,-0.011060852,0.003563963,0.015689704,0.010826704,0. 002416556,-0.002672259,0.010505074,0.028047741,0.004007296,-0.020449926,-0.056335593,0.005885407


FRA_EN_PEN:__BC__5400__k3,0.125964333,0.160792333, 0.075298667,0.002476333,0.092325,-0.007437,0.002506667,0.005538333,0.063947667,0.071 740333,-0.004222,0.006694,-0.021902667,-0.013441333,-0.000678667,0.01074,0.010387,0.002702667,0.0023043 33,0.006211333,0.025704667,0.004534,-0.020418,-0.063543333,0.003392667





EHG_try_removing:EHG_try_removing,0.120368,0.03808 22,0.1277498,0.2026028,-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
EHG_try_removing:RUS_Karelia_HG_BC__6500_5250__k2_ _try_removing,0.1212215,0.031989,0.1318035,0.20429 85,-0.017234,0.05773,-0.0222085,-0.029883,-0.007772,-0.0870175,0.022653,-0.0128135,0.026313,-0.0494755,0.0209005,0.0234025,-0.012191,0.003674,-0.002828,0.017133,-0.0040555,0.0168785,0.011092,-0.0177135,-0.0107175


Kura-Araxes_try_removing,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



Yamnaya:RUS_Vonyuchka_En_try_removing:VJ1001___BC_ 4280___Coverage_70.20%,0.112685,0.081242,0.003017, 0.097869,-0.059396,0.046017,0.00564,-0.010846,-0.07956,-0.085469,0.004547,0.003147,0.000446,-0.017203,0.038002,0.012463,-0.014212,-0.003294,-0.000628,0.005378,0.008235,-0.001113,0.00912,-0.007832,-0.00958
Yamnaya:Yamnaya_RUS_Samara__BC__3150_2800__k10,0.1 255849,0.089028,0.0426986,0.1153479,-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
Yamnaya:Yamnaya_RUS_Caucasus__BC__3200_2700_k4,0.1 1325375,0.08175,0.02555025,0.106106,-0.04100725,0.03939325,0.002409,-0.0082495,-0.06381125,-0.07772375,-0.00146125,-0.00711875,-0.0005575,-0.02504725,0.032505,0.00702725,-0.0094855,-0.00148875,-0.0048395,0.00519,-0.0033065,0.00343125,0.004283,0.0125015,-0.006287
Yamnaya:Yamnaya_RUS_Kalmykia__BC__3000_2400__k5,0. 115189,0.092007,0.0465368,0.1129864,-0.0276358,0.0420566,0.004371,-0.003646,-0.0539944,-0.0743522,-0.000942,0.0004496,-0.001011,-0.023616,0.0278496,0.0116148,0.0012254,-0.002559,0.0007542,0.0102548,-0.0042426,0.0005688,0.016244,0.0230152,-0.0035446
Yamnaya:YamnayaAverage__BC__3150__2400__k20,0.1198 76409,0.087381636,0.040454909,0.112463636,-0.030495045,0.043874591,0.003471636,-0.004300545,-0.056578727,-0.074153409,0.000088545,-0.000960545,-0.002000227,-0.023802455,0.033559818,0.012553773,-0.002803364,-0.003121227,-0.002976818,0.010215045,-0.003601545,0.001202773,0.009372409,0.018819591,-0.004142182


RUS_Khvalynsk_En:__BC__5000_4600__k3,0.1229285,0.0 53823,0.096543,0.16893,-0.017388,0.0502,-0.0103405,-0.0116535,-0.0345645,-0.084831,0.005521,-0.0049455,0.0231165,-0.043764,0.0250405,0.0174355,-0.000196,-0.0028505,-0.013638,0.0118805,-0.010544,0.0042045,0.0133105,-0.001265,-0.007903


Caucasus_Maykop:RUS_Darkveti-Meshoko_En:__BC__4500__k3,0.099405667,0.128634,-0.061345,-0.036822,-0.05242,0.007065333,0.018957333,-0.002845667,-0.080173,-0.036872333,0.004709333,0.012139333,-0.027353333,0.004174667,0.006650333,-0.016839,0.017645333,-0.009079333,-0.012108667,0.022636,0.021295333,-0.004245667,-0.009284333,-0.016146667,-0.006825667
Caucasus_Maykop:Maykop:MaykopAverage__BC3600_3150_ _k10,0.1054002,0.1289724,-0.0630922,-0.0339473,-0.0471472,-0.004825,0.0119855,-0.0067612,-0.0595575,-0.0228342,0.0042221,0.0081978,-0.020426,0.0008946,0.0047365,-0.0113894,0.0120867,-0.0027872,-0.0077305,0.0121185,0.0096578,-0.0001853,-0.000604,-0.010881,0.0013173
Caucasus_Maykop:Maykop:MaykopLate__BC__3200__k4,0. 10528625,0.127957,-0.056191,-0.03553,-0.04762425,-0.00509,0.01110425,-0.008538,-0.05859625,-0.02323525,0.00454675,0.00614475,-0.0179135,-0.0002065,0.00488575,-0.00795525,0.0128755,-0.0015835,-0.0064105,0.015883,0.0086095,0.0017005,-0.00064725,-0.00686825,-0.0035325



Levant_ISR_C:__BC__4000__k12,0.089256417,0.1655312 5,-0.049685583,-0.135876333,0.01441275,-0.062703917,-0.012690667,-0.011211,0.053227333,0.0328935,0.014168333,-0.015111417,0.032754833,0.006158583,-0.015845333,0.00286175,-0.003574833,0.003209333,0.00384425,0.0107655,0.001 934,0.009253333,-0.00464225,-0.003594833,-0.002754167

TUR_Tell_Kurdu_EC:__BC__5650__k3,0.100164333,0.173 317,-0.025518333,-0.123171667,0.028210333,-0.058195,-0.005013333,-0.005384333,0.029996667,0.051815667,0.010338667,-0.003547,-0.004509333,0.008211333,-0.037775667,-0.017457667,0.004389333,0.002829667,0.012569667,-0.006503333,-0.008110667,0.006677333,-0.002300333,-0.007912667,-0.001756667


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,-0.577083,0.0507765,-0.0003773,-0.0075098,-0.0053855,-0.0016735,-0.0176848,0.0204222,0.081145,-0.0969495,-0.02107,0.022742,-0.0383172,-0.0011698,0.0101452,-0.021347,0.0186125,-0.0094382,0.0241968,-0.0241678,0.002402,0.003308,0.001479,0.0009038,0.0 096995
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
Gambian,-0.6064875,0.0671942,0.0197362,0.0114665,0.0021028, 0.0055777,-0.0358392,0.0387677,-0.0317353,0.0241463,0.0054132,-0.0036467,0.0162287,-0.0009865,0.011016,-0.0153362,0.009692,-0.0011823,-0.002116,-0.0032307,-0.001643,-0.0018137,0.0043958,-0.0001005,0.001377
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,-0.005798,0.006744,0.004479,0.001326,0.008605,0.001 267,0.00352,0.001376,0.003743,-0.004946,-0.00037,-0.00253,-0.007305
Jarawa,-0.0219821,-0.2430289,-0.1324164,0.0986968,0.0323713,-0.0045841,-0.01012,0.0065044,0.0546974,0.0238044,0.0228054,0. 0027349,-0.0041532,0.0103562,-0.0108067,-0.0114441,0.0094529,-0.0019082,-0.0062221,0.0286778,-0.0046401,0.0111366,-0.0123402,0.0022668,0.0049844
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,0.0476917,-0.4066181,0.1557885,0.0023902,-0.1594452,-0.0882129,0.0285066,0.0433367,0.0310876,0.0128477, 0.1028569,0.0094115,-0.0040734,-0.0261619,-0.0219731,-0.0123307,-0.0010952,0.0134165,0.0268365,-0.0008505,0.0431363,-0.0118954,0.0336096,0.0003977,0.0135556
Yoruba,-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
Natufian: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

[gixajo]

a ver prueba esta a mi me da menor distancias:

Target: gixajo_scaled
Distance: 2.2333% / 0.02233260
52.0 WesternNeolithic
33.4 Yamnaya
10.2 EasternNeolithic
3.6 Natufian
0.8 MAR_Taforalt

Target: gixajo_dad_scaled
Distance: 2.1032% / 0.02103206
31.6 Yamnaya
25.0 WesternNeolithic
20.6 Iberia_Pirenei_N_(WesternNeolithic_o)
16.6 EasternNeolithic
2.4 MAR_Taforalt
2.2 Sweden_Neolithic
1.0 Yoruba
0.6 Natufian

Target: gixajo_mom_scaled
Distance: 2.9953% / 0.02995309
61.8 WesternNeolithic
34.6 Yamnaya
2.0 Aegean_Neolithic
0.8 MAR_Taforalt
0.8 Natufian

[Gallop]

esta me baja mas:
Target: ivanFTDNA
Distance: 1.8751% / 0.01875139
30.4 Yamnaya
21.8 EasternNeolithic
20.2 Sweden_Neolithic
20.0 WesternNeolithic
3.0 Aegean_Neolithic
2.8 MAR_Taforalt
1.8 Natufian

Me baja, pero todavía no llego a uno y pico, me debe faltar algo. Me salen 4 trazas cero coma. Tengo mucho Western Neolítico, algo más de la mitad de mi ser, el Yamnaya lo tenemos parecido, incluso obtengo un pelín más.

Target: Gallop_scaled
Distance: 2.0199% / 0.02019948
56.4 WesternNeolithic
32.0 Yamnaya
6.6 Aegean_Neolithic
3.4 MAR_Taforalt
0.6 Dinka
0.4 Caucasus_Maykop
0.4 ETH_4500BP
0.2 Levant_ISR_C


Target: Father_scaled
Distance: 2.3823% / 0.02382305
37.2 WesternNeolithic
31.6 Yamnaya
20.8 WesternNeolithicEU_Baalberge_MN
5.2 Aegean_Neolithic
4.0 MAR_Taforalt
1.2 Gambian

[mitalit]

Target: XabierNew_scaled
Distance: 2.0095% / 0.02009510
43.2 WesternNeolithic
35.8 Yamnaya
14.2 EasternNeolithic
4.2 MAR_Taforalt
2.0 Caucasus_Maykop
0.4 Han
0.2 Yoruba

[Gallop]

Target: Gallop_scaled
Distance: 1.6882% / 0.01688231
45.6 Father_scaled
34.6 WesternNeolithic
17.4 Yamnaya
1.4 MAR_Taforalt
0.4 Dinka
0.4 Natufian
0.2 Caucasus_Maykop

Target: Father_scaled
Distance: 1.9331% / 0.01933112
57.4 Gallop_scaled
22.2 WesternNeolithicEU_Baalberge_MN
13.0 Yamnaya
3.8 WesternNeolithic
1.6 MAR_Taforalt
1.0 Yoruba
0.8 EasternNeolithic
0.2 Sweden_Neolithic


Ahora obtenemos mejor distancia aún si cabe, encontrar tu cadáver ideal es difícil... Mi padre casi se queda sin Western Neolitico, estaba por ahi, en otros lugares... como más al Este. Después pilló una española de gran pureza.

[Beowulf]

me pregunto por que tengo muy alto el sweden neolithic...

[Beowulf]

Target: XabierNew_scaled
Distance: 2.0095% / 0.02009510
43.2 WesternNeolithic
35.8 Yamnaya
14.2 EasternNeolithic
4.2 MAR_Taforalt
2.0 Caucasus_Maykop
0.4 Han
0.2 Yoruba

le ganas por poco a mi abuelo en Yamnaya XD:
Target: AbueloFTDNA
Distance: 2.2547% / 0.02254666
45.2 WesternNeolithic
35.6 Yamnaya
15.2 EasternNeolithic
2.0 Sweden_Neolithic
1.2 Natufian
0.8 MAR_Taforalt

[vader]

Target: WestIberia
Distance: 2.8722% / 0.02872226
47.8 WesternNeolithic
29.2 Yamnaya
14.8 Aegean_Neolithic
4.6 MAR_Taforalt
1.6 Ukraine_N_HG
1.2 Dinka
0.8 Baltic_HG

Target: WestIberia_dad_scaled
Distance: 2.2307% / 0.02230670
49.6 WesternNeolithic
32.0 Yamnaya
12.8 Aegean_Neolithic
5.6 MAR_Taforalt

Target: WestIberia_mom_scaled
Distance: 2.5150% / 0.02514976
45.2 WesternNeolithic
28.0 Yamnaya
16.8 Aegean_Neolithic
4.6 Ukraine_N_HG
3.4 MAR_Taforalt
2.0 ETH_4500BP

[Beowulf]

hola eh hecho una calculadora(solo para europeos) probadla porfa :)

Hibernian:Rathlin1_Ireland_BA,0.124716,0.126369,0. 067123,0.064566,0.033462,0.027612,0.002231,0.00167 0,-0.001182,-0.006558,-0.002684,0.001886,-0.006072,-0.005573,0.014850,0.004526,-0.008461,0.002095,0.002155,0.000181,0.004074,0.004 416,-0.001247,0.006257,-0.001090
Germanic:Medieval_Frank,0.135787,0.148264,0.048520 ,0.021662,0.037498,0.010188,0.004199,0.006715,0.00 1776,0.005295,-0.000402,0.002677,-0.005434,-0.004329,0.007088,0.001079,-0.003799,-0.000633,-0.000775,-0.000849,0.001494,0.000877,0.000120,0.001669,-0.000473
Scythian,0.116168,0.049490,0.042292,0.057157,-0.011990,0.023206,0.004191,-0.004168,-0.023544,-0.028313,-0.003492,0.000030,-0.002727,-0.003884,0.009503,0.003963,-0.004991,0.002446,0.002918,-0.001350,0.000472,0.001666,-0.000087,0.002966,0.000506
Iberian:Andalusia_Visigoth_Era,0.118651,0.161726,0 .036029,-0.016910,0.046709,-0.007254,-0.005135,0.005204,0.032774,0.036734,-0.002087,0.005349,-0.008572,-0.007818,0.004287,-0.001897,-0.001017,-0.002733,-0.004279,0.000317,0.001441,-0.002752,-0.000376,-0.002775,0.000838
Britonnic:Bronze_Age_Briton,0.144710,0.148561,0.07 0438,0.050561,0.045779,0.017768,0.005720,0.006441, 0.001926,0.000701,-0.003176,0.003930,-0.009380,-0.006946,0.014133,0.003124,-0.007483,0.001275,0.001286,-0.000421,0.003711,0.003204,-0.001233,0.004908,-0.000763
Celtiberian:Celtiberian_200BC,0.140120,0.158078,0. 063594,0.019616,0.058531,0.005592,-0.000232,0.007361,0.022485,0.034166,-0.006167,0.009526,-0.018268,-0.010961,0.009904,-0.001690,-0.002619,-0.001430,-0.002572,-0.001975,0.002419,-0.001708,-0.001096,-0.001341,0.001013
Germanic:Longobard,0.142945,0.136019,0.075805,0.06 5003,0.041907,0.024464,0.008156,0.008597,-0.000875,-0.007511,-0.001374,0.002106,-0.006103,-0.004878,0.011834,0.002764,-0.006527,0.001237,0.001320,-0.000409,0.002845,0.003372,-0.000595,0.004551,-0.001097
Germanic:Saxon_England,0.129090,0.144823,0.075443, 0.063469,0.045028,0.023508,0.010528,0.008728,0.000 430,-0.010444,-0.003241,0.002004,-0.006776,-0.006550,0.017460,0.004935,-0.009715,0.002936,0.002569,0.000472,0.004734,0.005 364,-0.001610,0.007455,-0.001365
Britonnic:Celtic_Briton,0.136037,0.148851,0.070771 ,0.049684,0.043679,0.020239,0.007373,0.006388,0.00 3009,-0.002975,-0.004502,0.004110,-0.010232,-0.008253,0.016772,0.004026,-0.008072,0.001925,0.001142,-0.000594,0.003933,0.003489,-0.001545,0.004500,-0.000744
Germanic:Anglo_Saxon,0.129090,0.144823,0.075443,0. 063469,0.045028,0.023508,0.010528,0.008728,0.00043 0,-0.010444,-0.003241,0.002004,-0.006776,-0.006550,0.017460,0.004935,-0.009715,0.002936,0.002569,0.000472,0.004734,0.005 364,-0.001610,0.007455,-0.001365
Balkanic:Thracian_Bulgarian,0.122883,0.165544,0.00 5479,-0.047788,0.027884,-0.016882,-0.007470,0.003109,0.019799,0.037252,0.000601,0.004 227,-0.004931,-0.005421,-0.000642,-0.002019,0.000584,-0.004251,-0.004748,-0.000109,-0.000319,-0.004418,0.000485,-0.004118,0.001072
Etruscan,0.132545,0.173489,0.042222,-0.031811,0.062813,-0.013619,-0.009683,0.005022,0.040406,0.074561,-0.008173,0.017345,-0.030154,-0.015085,0.000220,-0.009380,0.007599,-0.006355,-0.009622,-0.006155,-0.002197,-0.010898,0.000178,-0.014294,0.003547
Balkanic:Dacian_Romania,0.120122,0.149500,0.025635 ,-0.000837,0.026305,0.002814,0.001970,0.004540,0.007 278,0.009309,-0.001460,0.002926,-0.005388,-0.005872,0.007835,0.001652,-0.003393,-0.000847,-0.001895,-0.000671,0.001180,-0.000316,-0.000211,-0.000279,-0.000019
Britonnic:Pre_Roman_Briton,0.136199,0.148983,0.070 898,0.049818,0.043734,0.020293,0.007396,0.006418,0 .002992,-0.003058,-0.004462,0.004083,-0.010179,-0.008218,0.016732,0.004017,-0.008057,0.001918,0.001136,-0.000592,0.003921,0.003491,-0.001533,0.004495,-0.000752
Britonnic:Celtic_Gladiator_York,0.131083,0.148153, 0.067872,0.051354,0.045337,0.017160,0.008000,0.007 693,-0.001506,0.003533,-0.006144,0.006336,-0.014504,-0.009970,0.017778,0.003610,-0.008017,0.001830,0.001185,-0.001538,0.003951,0.002724,-0.001844,0.004085,-0.000319
Slavic:Viking_nordic_Mix_Slavic,0.136421,0.144182, 0.049923,0.034195,0.036699,0.016019,0.003063,0.008 548,0.009799,0.003853,0.001369,0.000076,-0.000391,-0.002710,0.006620,0.001931,-0.005134,-0.000502,-0.000178,0.001136,0.002398,0.002301,-0.000037,0.003598,-0.001074
Nordic:Norwegian_Viking,0.134536,0.141824,0.081140 ,0.066523,0.044815,0.025114,0.011934,0.010946,-0.002262,-0.013820,0.000306,0.000789,-0.003769,-0.003331,0.010564,0.002300,-0.005778,0.001453,0.001080,-0.000449,0.002240,0.003603,-0.000084,0.004454,-0.001488
Nordic:Swedish_Viking,0.132572,0.131764,0.079165,0 .069019,0.043494,0.022375,0.008892,0.006309,0.0008 45,-0.015969,0.001107,0.000324,-0.002874,-0.002121,0.008636,0.001402,-0.004429,0.001464,0.000785,-0.000564,0.001673,0.003243,0.000251,0.003837,-0.001507
Slavic:Slavic_Viking_Era,0.128272,0.129012,0.06558 1,0.052827,0.033496,0.015369,0.009093,0.010717,-0.006474,-0.023723,0.011609,-0.006026,0.011789,0.007002,-0.007613,-0.002213,0.002561,-0.002257,-0.002435,-0.000302,-0.003271,0.000207,0.003608,-0.001322,-0.002352
Roman:Medieval_Foggia_Italy,0.101764,0.144568,-0.004148,-0.033933,0.017799,-0.011750,-0.003222,0.003208,0.009593,0.019669,0.001244,0.001 823,-0.001263,-0.003872,0.000344,-0.000372,0.000622,-0.003348,-0.004744,-0.000785,-0.001099,-0.003413,0.001020,-0.004699,0.000394
Nordic:Danish_Viking,0.132079,0.126802,0.072447,0. 064138,0.044174,0.021449,0.005914,0.008391,0.00993 3,-0.005483,-0.000968,-0.000277,-0.001489,-0.004072,0.012357,0.003712,-0.008568,0.001873,0.002210,0.002161,0.004530,0.005 032,-0.001087,0.007503,-0.001366
CentralEuropeanCelt:Celtic_Hallsttat,0.141238,0.13 7680,0.074027,0.049550,0.053156,0.012317,-0.000688,0.004207,0.010777,0.003630,0.003951,0.000 518,-0.001070,-0.000368,0.000873,-0.001590,-0.000848,-0.001705,-0.001920,-0.000268,0.000433,0.000638,0.001293,0.000422,-0.001275
Roman:Roman_Mix_Greek,0.103103,0.148912,-0.019095,-0.056817,0.002687,-0.016972,-0.006559,-0.003741,0.000263,0.014911,-0.000293,0.001403,-0.000643,-0.005128,0.005014,0.002961,-0.002928,-0.002208,-0.002909,0.000093,0.000313,-0.002082,0.000042,-0.001859,0.000560
Iberian:Medieval_Iberian_Mix_Italian,0.123747,0.14 6147,0.025777,-0.006883,0.026246,-0.002730,-0.003245,0.001195,0.010326,0.019130,-0.003179,0.004664,-0.008364,-0.007949,0.008782,0.001580,-0.003906,-0.001166,-0.001819,-0.000351,0.001779,-0.001107,-0.000857,-0.000441,0.000615
Avar:Avar_Elite,0.094791,-0.010872,0.004177,-0.015731,-0.028453,-0.008355,0.008069,0.005503,-0.020971,-0.006883,-0.008692,0.000707,-0.001693,-0.007323,0.003092,0.001560,-0.002609,0.000482,0.001636,0.000003,-0.000635,-0.002853,0.000201,-0.000437,0.003798
Gallic:Gaul_Continental_Celt,0.129263,0.128848,0.0 53056,0.052498,0.040040,0.014322,0.006137,0.009770 ,0.008164,0.008888,-0.003828,0.004566,-0.010084,-0.007324,0.011526,0.001552,-0.005616,0.000677,0.000431,-0.000606,0.002949,0.001603,-0.001113,0.003108,-0.000175
Greek:Greek_Empuries,0.118496,0.164114,-0.007181,-0.062815,0.022938,-0.022162,-0.009340,0.002090,0.020283,0.039131,0.001686,0.003 181,-0.002250,-0.004353,-0.002855,-0.002157,0.001202,-0.004846,-0.005213,0.000350,-0.000719,-0.004905,0.000809,-0.004564,0.001137
Balkan:Illyrian_Dalmatia,0.132830,0.159923,0.03593 8,-0.004079,0.035957,0.000470,-0.000818,0.005430,0.011669,0.021697,-0.002340,0.004938,-0.008708,-0.007518,0.007730,0.000757,-0.003418,-0.001707,-0.002242,-0.000577,0.001655,-0.001114,-0.000548,-0.000645,0.000387
Balkan:Proto_Illyrian,0.132392,0.160450,0.031670,-0.010990,0.035038,-0.002263,-0.002182,0.003804,0.012048,0.026717,-0.002505,0.006300,-0.010956,-0.007560,0.005721,-0.000804,-0.001652,-0.002200,-0.002843,-0.001509,0.000838,-0.002442,-0.000254,-0.001978,0.000832
Roman:Roman_england,0.127535,0.147212,0.076961,0.0 52819,0.047344,0.021903,0.004897,0.006129,0.002252 ,0.003674,-0.003173,0.004638,-0.010755,-0.007168,0.013007,0.001984,-0.005830,0.000877,0.000180,-0.001278,0.002910,0.002159,-0.000856,0.002935,-0.000587
WesternMediterranean:Sardinian,0.123936,0.170468,0 .023253,-0.047784,0.052705,-0.021938,-0.011376,0.004885,0.039960,0.066444,-0.002067,0.011141,-0.017098,-0.009221,-0.005898,-0.008756,0.007730,-0.007038,-0.009412,-0.003390,-0.002749,-0.009958,0.001183,-0.012513,0.002602
Baltic:Estonian_Polish,0.140952,0.127935,0.080620, 0.070092,0.040403,0.026195,0.009673,0.014019,-0.000936,-0.025439,0.012363,-0.007531,0.014421,0.007861,-0.007169,-0.001549,0.001177,-0.002208,-0.001881,0.000902,-0.002252,0.001819,0.003551,0.000371,-0.002917
NorthAfrican:Algerian,-0.029392,0.144800,-0.007511,-0.062554,0.024229,-0.027084,-0.006170,-0.001939,0.044403,0.025223,0.002570,-0.002977,0.007343,-0.002892,0.000926,-0.001510,0.000528,-0.000394,-0.005814,0.003775,0.000573,-0.002443,0.000374,-0.002291,0.000333
Finnic:Finnish,0.135962,0.090638,0.094967,0.079810 ,0.034892,0.022068,0.012416,0.014886,-0.001138,-0.027007,0.007822,-0.006632,0.011584,0.004509,-0.003038,-0.000795,-0.001690,-0.000116,0.000946,0.002376,-0.000558,0.002487,0.002129,0.003587,-0.001657
Anatolian:Anatolian,0.103883,0.097246,-0.034203,-0.044441,-0.026216,-0.013691,0.001844,0.000122,-0.021693,-0.004219,-0.000910,0.000053,0.001351,-0.003899,0.002645,0.003255,-0.001627,-0.001651,-0.001571,-0.001305,-0.001906,-0.003003,0.000790,-0.002961,0.001264
SSA:Yoruban,-0.686071,0.074880,0.020240,0.016077,0.001196,0.015 396,0.006907,0.009556,-0.045495,0.036910,0.006712,-0.008605,0.012112,0.000026,0.005497,-0.002914,0.001972,0.007237,-0.006882,0.000631,-0.001528,-0.003207,0.002004,0.000348,-0.000322
Levantine:Lebanese_Druze,0.097408,0.146507,-0.053127,-0.081313,-0.016059,-0.028710,-0.007377,-0.000692,0.000410,0.007257,0.007055,-0.006694,0.016640,0.001719,-0.001892,0.004628,-0.004151,-0.003024,-0.001911,0.004471,0.000235,-0.000606,0.000825,0.001626,-0.000493
AegeanSea:Greek_Islands,0.114244,0.152708,-0.014329,-0.049974,0.007317,-0.017507,-0.004638,0.001462,0.002610,0.014369,0.003870,-0.000675,0.004175,-0.001646,-0.001094,0.001023,-0.000737,-0.003511,-0.003601,0.000642,-0.000989,-0.002703,0.001091,-0.002621,0.000080
Roma:Roma_Balkans,0.091403,0.061022,-0.063652,0.023936,-0.021378,0.018107,-0.001634,0.008429,0.018999,0.015877,0.000767,-0.001183,0.003961,0.000254,-0.003185,-0.000183,0.000700,-0.002352,-0.002348,-0.000259,-0.000805,-0.001514,0.001229,-0.001445,0.000264
Slavic:EastSlav,0.139486,0.130102,0.074271,0.06255 5,0.039978,0.022477,0.009113,0.012586,-0.003180,-0.022772,0.011247,-0.006209,0.011950,0.006833,-0.006427,-0.001621,0.001438,-0.002280,-0.002165,0.000133,-0.002380,0.001273,0.003453,-0.000335,-0.002652

[Beowulf]

hola eh hecho una calculadora(solo para europeos) probadla porfa :)

Hibernian:Rathlin1_Ireland_BA,0.124716,0.126369,0. 067123,0.064566,0.033462,0.027612,0.002231,0.00167 0,-0.001182,-0.006558,-0.002684,0.001886,-0.006072,-0.005573,0.014850,0.004526,-0.008461,0.002095,0.002155,0.000181,0.004074,0.004 416,-0.001247,0.006257,-0.001090
Germanic:Medieval_Frank,0.135787,0.148264,0.048520 ,0.021662,0.037498,0.010188,0.004199,0.006715,0.00 1776,0.005295,-0.000402,0.002677,-0.005434,-0.004329,0.007088,0.001079,-0.003799,-0.000633,-0.000775,-0.000849,0.001494,0.000877,0.000120,0.001669,-0.000473
Scythian,0.116168,0.049490,0.042292,0.057157,-0.011990,0.023206,0.004191,-0.004168,-0.023544,-0.028313,-0.003492,0.000030,-0.002727,-0.003884,0.009503,0.003963,-0.004991,0.002446,0.002918,-0.001350,0.000472,0.001666,-0.000087,0.002966,0.000506
Iberian:Andalusia_Visigoth_Era,0.118651,0.161726,0 .036029,-0.016910,0.046709,-0.007254,-0.005135,0.005204,0.032774,0.036734,-0.002087,0.005349,-0.008572,-0.007818,0.004287,-0.001897,-0.001017,-0.002733,-0.004279,0.000317,0.001441,-0.002752,-0.000376,-0.002775,0.000838
Britonnic:Bronze_Age_Briton,0.144710,0.148561,0.07 0438,0.050561,0.045779,0.017768,0.005720,0.006441, 0.001926,0.000701,-0.003176,0.003930,-0.009380,-0.006946,0.014133,0.003124,-0.007483,0.001275,0.001286,-0.000421,0.003711,0.003204,-0.001233,0.004908,-0.000763
Celtiberian:Celtiberian_200BC,0.140120,0.158078,0. 063594,0.019616,0.058531,0.005592,-0.000232,0.007361,0.022485,0.034166,-0.006167,0.009526,-0.018268,-0.010961,0.009904,-0.001690,-0.002619,-0.001430,-0.002572,-0.001975,0.002419,-0.001708,-0.001096,-0.001341,0.001013
Germanic:Longobard,0.142945,0.136019,0.075805,0.06 5003,0.041907,0.024464,0.008156,0.008597,-0.000875,-0.007511,-0.001374,0.002106,-0.006103,-0.004878,0.011834,0.002764,-0.006527,0.001237,0.001320,-0.000409,0.002845,0.003372,-0.000595,0.004551,-0.001097
Germanic:Saxon_England,0.129090,0.144823,0.075443, 0.063469,0.045028,0.023508,0.010528,0.008728,0.000 430,-0.010444,-0.003241,0.002004,-0.006776,-0.006550,0.017460,0.004935,-0.009715,0.002936,0.002569,0.000472,0.004734,0.005 364,-0.001610,0.007455,-0.001365
Britonnic:Celtic_Briton,0.136037,0.148851,0.070771 ,0.049684,0.043679,0.020239,0.007373,0.006388,0.00 3009,-0.002975,-0.004502,0.004110,-0.010232,-0.008253,0.016772,0.004026,-0.008072,0.001925,0.001142,-0.000594,0.003933,0.003489,-0.001545,0.004500,-0.000744
Germanic:Anglo_Saxon,0.129090,0.144823,0.075443,0. 063469,0.045028,0.023508,0.010528,0.008728,0.00043 0,-0.010444,-0.003241,0.002004,-0.006776,-0.006550,0.017460,0.004935,-0.009715,0.002936,0.002569,0.000472,0.004734,0.005 364,-0.001610,0.007455,-0.001365
Balkanic:Thracian_Bulgarian,0.122883,0.165544,0.00 5479,-0.047788,0.027884,-0.016882,-0.007470,0.003109,0.019799,0.037252,0.000601,0.004 227,-0.004931,-0.005421,-0.000642,-0.002019,0.000584,-0.004251,-0.004748,-0.000109,-0.000319,-0.004418,0.000485,-0.004118,0.001072
Etruscan,0.132545,0.173489,0.042222,-0.031811,0.062813,-0.013619,-0.009683,0.005022,0.040406,0.074561,-0.008173,0.017345,-0.030154,-0.015085,0.000220,-0.009380,0.007599,-0.006355,-0.009622,-0.006155,-0.002197,-0.010898,0.000178,-0.014294,0.003547
Balkanic:Dacian_Romania,0.120122,0.149500,0.025635 ,-0.000837,0.026305,0.002814,0.001970,0.004540,0.007 278,0.009309,-0.001460,0.002926,-0.005388,-0.005872,0.007835,0.001652,-0.003393,-0.000847,-0.001895,-0.000671,0.001180,-0.000316,-0.000211,-0.000279,-0.000019
Britonnic:Pre_Roman_Briton,0.136199,0.148983,0.070 898,0.049818,0.043734,0.020293,0.007396,0.006418,0 .002992,-0.003058,-0.004462,0.004083,-0.010179,-0.008218,0.016732,0.004017,-0.008057,0.001918,0.001136,-0.000592,0.003921,0.003491,-0.001533,0.004495,-0.000752
Britonnic:Celtic_Gladiator_York,0.131083,0.148153, 0.067872,0.051354,0.045337,0.017160,0.008000,0.007 693,-0.001506,0.003533,-0.006144,0.006336,-0.014504,-0.009970,0.017778,0.003610,-0.008017,0.001830,0.001185,-0.001538,0.003951,0.002724,-0.001844,0.004085,-0.000319
Slavic:Viking_nordic_Mix_Slavic,0.136421,0.144182, 0.049923,0.034195,0.036699,0.016019,0.003063,0.008 548,0.009799,0.003853,0.001369,0.000076,-0.000391,-0.002710,0.006620,0.001931,-0.005134,-0.000502,-0.000178,0.001136,0.002398,0.002301,-0.000037,0.003598,-0.001074
Nordic:Norwegian_Viking,0.134536,0.141824,0.081140 ,0.066523,0.044815,0.025114,0.011934,0.010946,-0.002262,-0.013820,0.000306,0.000789,-0.003769,-0.003331,0.010564,0.002300,-0.005778,0.001453,0.001080,-0.000449,0.002240,0.003603,-0.000084,0.004454,-0.001488
Nordic:Swedish_Viking,0.132572,0.131764,0.079165,0 .069019,0.043494,0.022375,0.008892,0.006309,0.0008 45,-0.015969,0.001107,0.000324,-0.002874,-0.002121,0.008636,0.001402,-0.004429,0.001464,0.000785,-0.000564,0.001673,0.003243,0.000251,0.003837,-0.001507
Slavic:Slavic_Viking_Era,0.128272,0.129012,0.06558 1,0.052827,0.033496,0.015369,0.009093,0.010717,-0.006474,-0.023723,0.011609,-0.006026,0.011789,0.007002,-0.007613,-0.002213,0.002561,-0.002257,-0.002435,-0.000302,-0.003271,0.000207,0.003608,-0.001322,-0.002352
Roman:Medieval_Foggia_Italy,0.101764,0.144568,-0.004148,-0.033933,0.017799,-0.011750,-0.003222,0.003208,0.009593,0.019669,0.001244,0.001 823,-0.001263,-0.003872,0.000344,-0.000372,0.000622,-0.003348,-0.004744,-0.000785,-0.001099,-0.003413,0.001020,-0.004699,0.000394
Nordic:Danish_Viking,0.132079,0.126802,0.072447,0. 064138,0.044174,0.021449,0.005914,0.008391,0.00993 3,-0.005483,-0.000968,-0.000277,-0.001489,-0.004072,0.012357,0.003712,-0.008568,0.001873,0.002210,0.002161,0.004530,0.005 032,-0.001087,0.007503,-0.001366
CentralEuropeanCelt:Celtic_Hallsttat,0.141238,0.13 7680,0.074027,0.049550,0.053156,0.012317,-0.000688,0.004207,0.010777,0.003630,0.003951,0.000 518,-0.001070,-0.000368,0.000873,-0.001590,-0.000848,-0.001705,-0.001920,-0.000268,0.000433,0.000638,0.001293,0.000422,-0.001275
Roman:Roman_Mix_Greek,0.103103,0.148912,-0.019095,-0.056817,0.002687,-0.016972,-0.006559,-0.003741,0.000263,0.014911,-0.000293,0.001403,-0.000643,-0.005128,0.005014,0.002961,-0.002928,-0.002208,-0.002909,0.000093,0.000313,-0.002082,0.000042,-0.001859,0.000560
Avar:Avar_Elite,0.094791,-0.010872,0.004177,-0.015731,-0.028453,-0.008355,0.008069,0.005503,-0.020971,-0.006883,-0.008692,0.000707,-0.001693,-0.007323,0.003092,0.001560,-0.002609,0.000482,0.001636,0.000003,-0.000635,-0.002853,0.000201,-0.000437,0.003798
Gallic:Gaul_Continental_Celt,0.129263,0.128848,0.0 53056,0.052498,0.040040,0.014322,0.006137,0.009770 ,0.008164,0.008888,-0.003828,0.004566,-0.010084,-0.007324,0.011526,0.001552,-0.005616,0.000677,0.000431,-0.000606,0.002949,0.001603,-0.001113,0.003108,-0.000175
Greek:Greek_Empuries,0.118496,0.164114,-0.007181,-0.062815,0.022938,-0.022162,-0.009340,0.002090,0.020283,0.039131,0.001686,0.003 181,-0.002250,-0.004353,-0.002855,-0.002157,0.001202,-0.004846,-0.005213,0.000350,-0.000719,-0.004905,0.000809,-0.004564,0.001137
Balkan:Illyrian_Dalmatia,0.132830,0.159923,0.03593 8,-0.004079,0.035957,0.000470,-0.000818,0.005430,0.011669,0.021697,-0.002340,0.004938,-0.008708,-0.007518,0.007730,0.000757,-0.003418,-0.001707,-0.002242,-0.000577,0.001655,-0.001114,-0.000548,-0.000645,0.000387
Roman:Roman_england,0.127535,0.147212,0.076961,0.0 52819,0.047344,0.021903,0.004897,0.006129,0.002252 ,0.003674,-0.003173,0.004638,-0.010755,-0.007168,0.013007,0.001984,-0.005830,0.000877,0.000180,-0.001278,0.002910,0.002159,-0.000856,0.002935,-0.000587
WesternMediterranean:Sardinian,0.123936,0.170468,0 .023253,-0.047784,0.052705,-0.021938,-0.011376,0.004885,0.039960,0.066444,-0.002067,0.011141,-0.017098,-0.009221,-0.005898,-0.008756,0.007730,-0.007038,-0.009412,-0.003390,-0.002749,-0.009958,0.001183,-0.012513,0.002602
Baltic:Estonian_Polish,0.140952,0.127935,0.080620, 0.070092,0.040403,0.026195,0.009673,0.014019,-0.000936,-0.025439,0.012363,-0.007531,0.014421,0.007861,-0.007169,-0.001549,0.001177,-0.002208,-0.001881,0.000902,-0.002252,0.001819,0.003551,0.000371,-0.002917
NorthAfrican:Algerian,-0.029392,0.144800,-0.007511,-0.062554,0.024229,-0.027084,-0.006170,-0.001939,0.044403,0.025223,0.002570,-0.002977,0.007343,-0.002892,0.000926,-0.001510,0.000528,-0.000394,-0.005814,0.003775,0.000573,-0.002443,0.000374,-0.002291,0.000333
Finnic:Finnish,0.135962,0.090638,0.094967,0.079810 ,0.034892,0.022068,0.012416,0.014886,-0.001138,-0.027007,0.007822,-0.006632,0.011584,0.004509,-0.003038,-0.000795,-0.001690,-0.000116,0.000946,0.002376,-0.000558,0.002487,0.002129,0.003587,-0.001657
Anatolian:Anatolian,0.103883,0.097246,-0.034203,-0.044441,-0.026216,-0.013691,0.001844,0.000122,-0.021693,-0.004219,-0.000910,0.000053,0.001351,-0.003899,0.002645,0.003255,-0.001627,-0.001651,-0.001571,-0.001305,-0.001906,-0.003003,0.000790,-0.002961,0.001264
SSA:Yoruban,-0.686071,0.074880,0.020240,0.016077,0.001196,0.015 396,0.006907,0.009556,-0.045495,0.036910,0.006712,-0.008605,0.012112,0.000026,0.005497,-0.002914,0.001972,0.007237,-0.006882,0.000631,-0.001528,-0.003207,0.002004,0.000348,-0.000322
Levantine:Lebanese_Druze,0.097408,0.146507,-0.053127,-0.081313,-0.016059,-0.028710,-0.007377,-0.000692,0.000410,0.007257,0.007055,-0.006694,0.016640,0.001719,-0.001892,0.004628,-0.004151,-0.003024,-0.001911,0.004471,0.000235,-0.000606,0.000825,0.001626,-0.000493
AegeanSea:Greek_Islands,0.114244,0.152708,-0.014329,-0.049974,0.007317,-0.017507,-0.004638,0.001462,0.002610,0.014369,0.003870,-0.000675,0.004175,-0.001646,-0.001094,0.001023,-0.000737,-0.003511,-0.003601,0.000642,-0.000989,-0.002703,0.001091,-0.002621,0.000080
Roma:Roma_Balkans,0.091403,0.061022,-0.063652,0.023936,-0.021378,0.018107,-0.001634,0.008429,0.018999,0.015877,0.000767,-0.001183,0.003961,0.000254,-0.003185,-0.000183,0.000700,-0.002352,-0.002348,-0.000259,-0.000805,-0.001514,0.001229,-0.001445,0.000264
Slavic:EastSlav,0.139486,0.130102,0.074271,0.06255 5,0.039978,0.022477,0.009113,0.012586,-0.003180,-0.022772,0.011247,-0.006209,0.011950,0.006833,-0.006427,-0.001621,0.001438,-0.002280,-0.002165,0.000133,-0.002380,0.001273,0.003453,-0.000335,-0.002652
Nordic:VikingIcelandic,0.141121,0.138807,0.072434, 0.054231,0.041162,0.022048,0.005871,0.006065,0.001 759,-0.002639,-0.003495,0.003279,-0.008410,-0.006891,0.014588,0.003581,-0.007859,0.001630,0.001634,-0.000138,0.003828,0.003550,-0.001285,0.005233,-0.000712
Hibernian:Celtic_Ireland,0.140013,0.141370,0.06691 1,0.050398,0.041885,0.020187,0.004762,0.005146,0.0 03146,0.003423,-0.005403,0.005240,-0.012162,-0.008791,0.016291,0.003554,-0.007987,0.001631,0.001397,-0.000780,0.004119,0.003049,-0.001700,0.004680,-0.000350

[Beowulf]

mis resultados:

Target: ivanK13
Distance: 0.2476% / 0.00247614 | ADC: 0.25x RC
73.4 Iberian
20.4 Gallic
3.2 NorthAfrican
3.0 Roma

Target: ivanK13
Distance: 0.2277% / 0.00227684
58.4 Iberian
12.4 Gallic
12.2 Celtiberian
5.0 NorthAfrican
4.6 Roma
3.8 CentralEuropeanCelt
2.2 Balkanic
1.0 WesternMediterranean
0.4 Greek

[gixajo]

Aprovechando que ayer me dí cuenta de que habían añadido 3 individuos vascones de Navarra a la biblioteca de referencias (los tres primeros).


Iberian_Pre-Roman:Vascones_ERE004_ss.A0101__BC_783__Cov_25.41% ,0.106994,0.14319,0.04714,0.007106,0.061858,-0.003626,-0.005875,-0.003923,0.03211,0.042279,-0.001949,0.003747,-0.008028,-0.003441,0.004343,-0.001326,0.001956,0.002407,0.011061,-0.005253,0.009858,0.001607,-0.015283,-0.017352,0.000838
Iberian_Pre-Roman:Vascones_CRU024_ss.A0101__BC_664__Cov_36.67% ,0.124067,0.147252,0.052797,0.005168,0.060934,-0.000279,-0.009165,0.002308,0.02352,0.03991,-0.00406,0.011989,-0.020961,-0.026699,0.005565,-0.006895,0.004433,-0.003167,0.007919,-0.007253,0.01672,0.002473,-0.010106,-0.010724,-0.000718
Iberian_Pre-Roman:Vascones_CRU013_ss.A0101__BC_600__Cov_52.91% ,0.114961,0.148267,0.05242,0.008075,0.065858,0.001 952,-0.010575,0.005077,0.029656,0.042461,-0.009581,0.01139,-0.021258,-0.020368,0.014115,-0.006629,-0.005867,0.003801,0.002388,-0.003377,0.009358,-0.000989,-0.007888,-0.009158,0.004191
Iberian_Pre-Roman:Celtiberian_I3758__BC_276__Cov_74.66%,0.1263 44,0.148267,0.066373,0.014212,0.054779,0.006414,-0.00376,0.003231,0.029247,0.034443,0.002598,0.0079 43,-0.015907,-0.009771,0.010315,-0.01074,-0.021383,-0.001774,0.001634,-0.008129,0.007237,0.00371,-0.007641,-0.013134,-0.005149
Iberian_Pre-Roman:Celtiberian_I3759__BC_272__Cov_62.90%,0.1240 67,0.147252,0.067505,0.010013,0.066166,0.002789,-0.00141,0.004846,0.023111,0.033349,-0.003085,0.01109,-0.017096,-0.007844,0.009229,0.008221,0.001434,0.00114,0.0033 94,-0.001126,0.009733,0.003833,-0.005053,-0.007591,-0.00934
Iberian_Pre-Roman:Celtiberian_I3757__BC_350__Cov_10.58%,0.1149 61,0.144205,0.058454,0.018411,0.054164,0.003626,-0.01034,0.016845,0.030474,0.039181,-0.000974,0.006594,-0.029583,-0.020231,0.002986,-0.013392,-0.007562,0.007855,0.011941,-0.000625,0.005366,0.015086,-0.010599,0.009399,-0.001676
Iberian_Pre-Roman:Celtiberian_I19991__BC_100__Cov_33.29%,0.126 344,0.152329,0.061094,0.006783,0.056934,-0.006972,-0.003525,0.003461,0.036405,0.041185,0.008444,0.008 992,-0.025421,-0.017203,0.008822,0.01432,0.002477,0.000633,-0.000754,-0.003502,0.008984,0.000618,-0.005423,-0.005904,0.001557
Iberian_Pre-Roman:Celtiberian_I19990__BC_86__Cov_9.57%,0.12862 ,0.152329,0.055437,0.000646,0.07109,0.010598,0.003 29,0.004615,0.035178,0.060685,-0.01835,-0.00015,-0.026016,-0.005643,0.005022,-0.017502,-0.016298,0.005068,-0.011439,0.007504,0.015597,-0.000742,-0.015899,-0.008555,0.002515
Iberian_Pre-Roman:Celtiberian_I19987__BC_75__Cov_26.86%,0.1252 05,0.155376,0.063733,0,0.051394,-0.001394,-0.001175,0.008307,0.033951,0.045377,-0.006983,0.008992,-0.022002,-0.019542,0.017372,-0.004641,-0.009779,0.010642,-0.005531,-0.008254,0.016346,0,-0.011709,-0.023136,-0.003832
Iberian_Pre-Roman:Celtiberian_I19988__BC_100__Cov_11.99%,0.124 067,0.166547,0.071276,0.004199,0.063089,-0.006136,0.0047,0.01523,0.036405,0.040456,-0.011042,0.0003,-0.020069,-0.014313,0.019815,-0.010872,-0.007953,0.015456,-0.002388,-0.004502,0.012852,-0.004946,-0.016638,-0.033137,-0.002155
Iberian_Pre-Roman:Iberian&Tartesos:I12171__BC_658__Cov_31.63%,0.120652,0.144 205,0.056568,-0.006783,0.061858,-0.004183,0.00235,0.009,0.040905,0.049204,0.005034, 0.009442,-0.027354,-0.023671,0.0038,0.009149,0.009779,-0.002914,0.00352,0.003627,0.013227,-0.006925,-0.00419,-0.020364,-0.005269
Iberian_Pre-Roman:Iberian&Tartesos:I3320__BC_200__Cov_70.14%,0.119514,0.1462 36,0.059585,0.004845,0.06155,-0.005857,-0.0047,0.003692,0.029042,0.045195,-0.002111,0.011839,-0.020367,-0.017616,0.006379,0.006497,0.012386,-0.007221,0.001006,0.001626,0.003743,-0.00507,0.000616,-0.012411,0.004071
Iberian_Pre-Roman:Iberian&Tartesos:I3321__BC_200__Cov_32.10%,0.126344,0.1563 92,0.062979,0.007429,0.060934,-0.010877,0.00376,0.008307,0.041109,0.046288,-0.002923,0.013038,-0.030029,-0.026011,0.013029,0.00716,0.007041,0.011909,0.0075 42,-0.01088,0.0141,-0.011623,-0.000739,-0.02422,-0.007185
Iberian_Pre-Roman:Iberian&Tartesos:I3321_d__BC_200__Cov_10.75%,0.119514,0.16 5531,0.065996,0.029393,0.069244,-0.004183,0.014336,-0.003,0.026793,0.043554,-0.006658,0.014987,-0.038057,-0.017065,0.000271,0.016574,0.00339,0.008235,0.0008 8,-0.011881,0.013351,0.002844,0.002835,-0.018195,-0.016286
Iberian_Pre-Roman:Iberian&Tartesos:I3327__BC_225__Cov_20.93%,0.124067,0.1482 67,0.050157,-0.017765,0.039392,-0.001952,-0.00517,0.005077,0.032315,0.053213,-0.017538,0.014987,-0.013825,-0.031653,0.013029,0.023336,0.02021,0.004561,0.0022 63,0.002626,0.001123,-0.002102,-0.007148,0.00012,0.001078
Iberian_Pre-Roman:Iberian&Tartesos:I3496__BC_250__Cov_11.76%,0.12862,0.14014 3,0.053174,0.008721,0.062473,-0.004462,0.002115,0.005077,0.041109,0.034443,0,0.0 09142,-0.02884,-0.006744,0.003257,0.017502,0.01356,-0.014189,0.010182,-0.001,0.00025,-0.001607,-0.004807,-0.005663,-0.001317
Iberian_Pre-Roman:Iberian&Tartesos:I3323__BC_276__Cov_25.89%,0.121791,0.1574 07,0.052797,-0.001292,0.061858,-0.010877,-0.007755,0.004846,0.031292,0.052484,-0.005359,0.01109,-0.03107,-0.004679,0.001086,-0.000265,0.011865,0.001394,-0.000754,-0.004002,0.003868,0.000742,-0.019966,-0.01687,0.001197
Iberian_Pre-Roman:Iberian&Tartesos:I12878__BC_410__Cov_13.97%,0.142279,0.146 236,0.05242,0.000646,0.062165,0.004183,-0.009635,-0.002769,0.050313,0.046835,-0.004547,0.023079,-0.017245,0.001514,0.019951,-0.006497,-0.011865,-0.007348,0.018352,-0.008629,0.00861,0.006554,0.009737,-0.006748,0.000838
Iberian_Pre-Roman:Iberian&Tartesos:I12410__BC_425__Cov_69.66%,0.133173,0.146 236,0.061471,0.000323,0.07109,-0.007809,-0.000235,0.003692,0.03436,0.047199,-0.002761,0.01139,-0.024826,-0.01101,0.01045,0.011668,0.023469,-0.00114,-0.008673,0.004127,0.004367,0.006183,-0.009737,-0.015906,-0.002874
Iberian_Pre-Roman:Iberian&Tartesos:I12879__BC_479__Cov_23.93%,0.125205,0.154 36,0.06675,0.010659,0.059088,0.002789,-0.013161,0.002308,0.015953,0.033349,-0.003248,0.01109,-0.02334,-0.014588,0.0019,-0.014717,-0.014081,-0.00152,0.012947,0.010005,0.006613,-0.002968,-0.01368,-0.006627,0.000599
Iberian_Pre-Roman:Iberian&Tartesos:I3322__BC_550__Cov_53.56%,0.120652,0.1472 52,0.051288,0.005814,0.061242,-0.006136,0.00047,0.003692,0.038246,0.05376,-0.00341,0.013188,-0.019475,-0.013212,0.017644,-0.014585,-0.021513,0.006208,0.001634,-0.005628,0.004243,0.000618,-0.003451,-0.020244,-0.001796
Iberian_Pre-Roman:Iberian&Tartesos:I4556__BC_600__Cov_25.17%,0.122929,0.1340 5,0.065619,0.005814,0.053548,-0.003904,-0.004935,0.003231,0.029656,0.054671,-0.007145,0.01139,-0.015312,-0.011147,0.011672,0.015513,0.028424,0.004814,-0.000377,-0.005253,-0.002745,0.000989,-0.009983,-0.023015,-0.003353
Italy_Imperial:R38.SG__AD_200__Cov_71.85%,0.102441 ,0.15436,-0.045632,-0.082365,-0.018465,-0.029284,-0.002115,-0.006461,-0.011658,0.01877,0.001461,0.000599,-0.003419,0.003991,-0.009093,-0.012463,-0.011995,0.001014,0.000503,-0.004502,0.002496,-0.000247,-0.002465,0.003133,-0.001078
Italy_Imperial:R40.SG__AD_200__Cov_67.92%,0.106994 ,0.151314,-0.022627,-0.062985,-0.000615,-0.016455,-0.00188,-0.006692,-0.008999,0.027518,0.004222,0.000899,-0.011893,0.003165,-0.017508,0.001326,0.002347,-0.002534,-0.001006,-0.009755,-0.002995,0.002349,-0.012695,0.006507,0.000239
Italy_Imperial:R41.SG__AD_200__Cov_72.20%,0.095611 ,0.139128,-0.035072,-0.070414,0.003385,-0.028726,-0.001175,-0.009461,0.005522,0.022597,0.006658,0.000899,0.001 338,0.002752,-0.008007,-0.000265,0.002217,-0.003674,-0.001006,-0.003252,-0.005241,-0.000742,0.002095,-0.000482,0.003712
Italy_Imperial:R43.SG__AD_200__Cov_80.84%,0.111547 ,0.156392,-0.034318,-0.069445,0.002462,-0.030678,0.00423,-0.007154,-0.004704,0.028429,0.003085,0.009891,-0.013974,0.005505,-0.019408,-0.000398,0.017993,0.003167,0.002891,-0.001376,-0.009109,0.008408,-0.001109,0.010604,0.001557
Italy_Imperial:R44.SG__AD_200__Cov_68.72%,0.118376 ,0.166547,-0.026398,-0.070414,0.005539,-0.02008,0.003995,-0.006231,-0.001432,0.033167,0.005196,0.006894,-0.011893,0.003028,-0.013165,-0.002917,0.01682,-0.000633,-0.002891,-0.005378,0.000749,0.002844,0.001356,0.008194,0.001 916
Italy_Imperial:R49.SG__AD_200__Cov_74.14%,0.10927, 0.15436,-0.004148,-0.039729,0.016003,-0.020638,0.00282,-0.001846,-0.002659,0.016766,0.005196,0.004946,-0.015163,0.002615,-0.009229,0.00411,0.007171,-0.001267,0.003268,-0.007253,0.000624,0.003586,0.000863,-0.008314,0.003113
Italy_Imperial:R51.SG__AD_200__Cov_65.84%,0.111547 ,0.147252,-0.019987,-0.049742,0.016311,-0.029562,-0.000235,-0.010384,0.000205,0.025331,0.002436,0.002997,-0.009514,0.002202,-0.005157,-0.009679,-0.011083,0.005701,0.009176,-0.006128,0.00262,0.005812,0.001849,0.006748,-0.005149
Italy_Imperial:R66.SG__AD_200__Cov_47.00%,0.113823 ,0.157407,-0.034318,-0.068799,0.001539,-0.025658,0.000235,-0.002769,-0.013703,0.02606,0.011042,-0.002847,-0.003865,0.005092,-0.022937,-0.015778,-0.005867,-0.001267,0.003142,-0.015257,-0.003619,0.00507,-0.006409,-0.000723,0.003353
Italy_Imperial:R69.SG__AD_200__Cov_82.37%,0.120652 ,0.148267,-0.015462,-0.05168,0.003693,-0.014502,-0.00188,-0.006692,-0.016975,0.028611,0.001949,0.010491,-0.013231,-0.004404,-0.021851,0.004508,0.034682,0.000507,0.006285,0.002 251,-0.006239,0.000371,-0.009983,-0.003374,-0.005269
Italy_Imperial:R71.SG__AD_200__Cov_59.43%,0.111547 ,0.158423,-0.0445,-0.067507,-0.006463,-0.029841,-0.001645,-0.009923,-0.014317,0.020957,0.000487,0.004796,-0.015015,0.004817,-0.019679,-0.011668,0.008084,0.002914,0.000377,0.003377,-0.003369,-0.005441,0.000986,0.009158,-0.003592
Italy_Imperial:R72.SG__AD_200__Cov_57.94%,0.1161,0 .146236,-0.032809,-0.071706,-0.004616,-0.031236,0.007755,-0.008307,-0.005931,0.028793,0.004384,0.006594,0.002973,0.000 413,-0.011536,-0.003315,0.009518,0.002154,0.007165,-0.002626,0.000749,0.006183,-0.01023,0.000964,0.007544
Italy_Imperial:R73.SG__AD_200__Cov_65.67%,0.087644 ,0.151314,-0.032432,-0.067507,0.000308,-0.019801,-0.004935,-0.006,0.007158,0.02442,0.000974,-0.002997,0.003419,-0.006881,-0.001086,0.016574,0.011343,-0.006461,-0.003268,0.006503,-0.00861,-0.001731,-0.00493,0.002048,0.006826
Italy_Imperial:R125.SG__AD_200__Cov_52.87%,0.11496 1,0.152329,-0.006411,-0.050388,0.008925,-0.011435,0.003995,-0.005769,-0.003886,0.017495,0.000974,0.001948,-0.014569,-0.013625,-0.008143,0.010475,0.02034,0.005574,0.005531,0,0.00 025,0.001113,-0.008504,-0.004579,0.002994
Italy_Imperial:R128.SG__AD_200__Cov_64.46%,0.11723 8,0.151314,-0.034695,-0.05168,-0.007386,-0.022311,0.00094,-0.011307,-0.017998,0.019135,0.003735,0.004646,-0.005798,0.013212,-0.018051,-0.013392,-0.007171,0.003421,0.001131,-0.012131,-0.003494,-0.000247,0.004067,-0.003253,-0.012095
Italy_Imperial:R1543.SG__AD_200__Cov_66.10%,0.0978 88,0.141159,-0.027907,-0.060724,0.006463,-0.017012,0.000235,-0.009461,0.001023,0.022415,0.009419,-0.000899,-0.003122,0.000688,-0.004072,-0.005038,-0.007953,0.003927,-0.003268,-0.007504,-0.00574,-0.003339,-0.007641,-0.008194,-0.000838
Italy_Imperial:R1544.SG__AD_200__Cov_63.52%,0.1092 7,0.14319,-0.015085,-0.040375,0.008309,-0.022032,-0.004465,-0.000231,0.006136,0.014579,0.008931,-0.000749,-0.00446,-0.003578,-0.005429,-0.004508,0.004433,-0.002027,0.001885,-0.005753,0.004118,0.004575,0.000739,-0.005904,-0.001437
Italy_Imperial:R1545.SG__AD_200__Cov_80.97%,0.1104 08,0.152329,-0.030547,-0.062339,0.00277,-0.01757,-0.000705,-0.002077,-0.006136,0.020228,-0.001461,0.004946,-0.008474,-0.000963,-0.013165,-0.014717,-0.01017,0.00152,0.005405,-0.007379,-0.003369,0.009521,-0.003821,0.005904,-0.004191
Germanic:Denmark_IA:VK532_noUDG.SG__AD_100__Cov_94 .74%,0.124067,0.131003,0.061471,0.069445,0.042162, 0.019801,0.003055,0.011307,0.006136,-0.011116,-0.003735,0.009591,-0.005946,-0.006744,0.02253,0.013524,-0.003129,0.010642,0.004148,0.007754,0.005366,0.003 215,0.003821,0.018316,0.005149
Germanic:Sweden_IA:VK522_noUDG.SG__AD_400__Cov_99. 33%,0.129758,0.133034,0.078064,0.06783,0.056934,0. 023148,0.000705,0.011076,0.013499,-0.005467,-0.003573,0.00015,-0.005798,-0.008808,0.018865,0.011668,-0.007432,-0.00076,0.004777,0.008254,0.00262,0.005564,-0.002711,0.019159,-0.000359
Germanic:Norway_IA:VK418_noUDG.SG__AD_350__Cov_50. 76%,0.12862,0.13405,0.06675,0.059109,0.040931,0.02 3985,0.01034,0.016615,0.006954,-0.00656,-0.00065,-0.002398,-0.006541,-0.003441,0.03108,-0.004641,-0.033118,0.00076,0.001508,0.002751,0.012977,0.0027 2,-0.001972,0.005543,-0.004311

[gixajo]

En la misma onda que los demás de épocas similares:

Target: Spain_Navarra_EIA:CRU013_A0101__BC_600__Cov_52.91%
Distance: 5.1152% / 0.05115154
55.4 TUR_Barcin_N
23.0 Yamnaya_RUS_Samara
19.4 WHG
2.2 MAR_Taforalt

Target: Spain_Navarra_EIA:CRU024_A0101__BC_664__Cov_36.67%
Distance: 4.5763% / 0.04576303
57.6 TUR_Barcin_N
24.4 Yamnaya_RUS_Samara
18.0 WHG

Target: Spain_Navarra_EIA:ERE004_A0101__BC_783__Cov_25.41%
Distance: 3.2126% / 0.03212621
57.6 TUR_Barcin_N
20.0 WHG
19.0 Yamnaya_RUS_Samara
1.6 Yoruba
1.2 BRA_LapaDoSanto_9600BP
0.4 IRN_Shahr_I_Sokhta_BA2_I8728
0.2 MAR_Taforalt

[Jased]

Target: Hasien_scaled
Distance: 1.8725% / 0.01872466
58.4 Spanish
39.0 Mexican_Amerindian
2.4 West_African
0.2 Germanic

[Beowulf]

Aprovechando que ayer me dí cuenta de que habían añadido 3 individuos vascones de Navarra a la biblioteca de referencias (los tres primeros).


Iberian_Pre-Roman:Vascones_ERE004_ss.A0101__BC_783__Cov_25.41% ,0.106994,0.14319,0.04714,0.007106,0.061858,-0.003626,-0.005875,-0.003923,0.03211,0.042279,-0.001949,0.003747,-0.008028,-0.003441,0.004343,-0.001326,0.001956,0.002407,0.011061,-0.005253,0.009858,0.001607,-0.015283,-0.017352,0.000838
Iberian_Pre-Roman:Vascones_CRU024_ss.A0101__BC_664__Cov_36.67% ,0.124067,0.147252,0.052797,0.005168,0.060934,-0.000279,-0.009165,0.002308,0.02352,0.03991,-0.00406,0.011989,-0.020961,-0.026699,0.005565,-0.006895,0.004433,-0.003167,0.007919,-0.007253,0.01672,0.002473,-0.010106,-0.010724,-0.000718
Iberian_Pre-Roman:Vascones_CRU013_ss.A0101__BC_600__Cov_52.91% ,0.114961,0.148267,0.05242,0.008075,0.065858,0.001 952,-0.010575,0.005077,0.029656,0.042461,-0.009581,0.01139,-0.021258,-0.020368,0.014115,-0.006629,-0.005867,0.003801,0.002388,-0.003377,0.009358,-0.000989,-0.007888,-0.009158,0.004191
Iberian_Pre-Roman:Celtiberian_I3758__BC_276__Cov_74.66%,0.1263 44,0.148267,0.066373,0.014212,0.054779,0.006414,-0.00376,0.003231,0.029247,0.034443,0.002598,0.0079 43,-0.015907,-0.009771,0.010315,-0.01074,-0.021383,-0.001774,0.001634,-0.008129,0.007237,0.00371,-0.007641,-0.013134,-0.005149
Iberian_Pre-Roman:Celtiberian_I3759__BC_272__Cov_62.90%,0.1240 67,0.147252,0.067505,0.010013,0.066166,0.002789,-0.00141,0.004846,0.023111,0.033349,-0.003085,0.01109,-0.017096,-0.007844,0.009229,0.008221,0.001434,0.00114,0.0033 94,-0.001126,0.009733,0.003833,-0.005053,-0.007591,-0.00934
Iberian_Pre-Roman:Celtiberian_I3757__BC_350__Cov_10.58%,0.1149 61,0.144205,0.058454,0.018411,0.054164,0.003626,-0.01034,0.016845,0.030474,0.039181,-0.000974,0.006594,-0.029583,-0.020231,0.002986,-0.013392,-0.007562,0.007855,0.011941,-0.000625,0.005366,0.015086,-0.010599,0.009399,-0.001676
Iberian_Pre-Roman:Celtiberian_I19991__BC_100__Cov_33.29%,0.126 344,0.152329,0.061094,0.006783,0.056934,-0.006972,-0.003525,0.003461,0.036405,0.041185,0.008444,0.008 992,-0.025421,-0.017203,0.008822,0.01432,0.002477,0.000633,-0.000754,-0.003502,0.008984,0.000618,-0.005423,-0.005904,0.001557
Iberian_Pre-Roman:Celtiberian_I19990__BC_86__Cov_9.57%,0.12862 ,0.152329,0.055437,0.000646,0.07109,0.010598,0.003 29,0.004615,0.035178,0.060685,-0.01835,-0.00015,-0.026016,-0.005643,0.005022,-0.017502,-0.016298,0.005068,-0.011439,0.007504,0.015597,-0.000742,-0.015899,-0.008555,0.002515
Iberian_Pre-Roman:Celtiberian_I19987__BC_75__Cov_26.86%,0.1252 05,0.155376,0.063733,0,0.051394,-0.001394,-0.001175,0.008307,0.033951,0.045377,-0.006983,0.008992,-0.022002,-0.019542,0.017372,-0.004641,-0.009779,0.010642,-0.005531,-0.008254,0.016346,0,-0.011709,-0.023136,-0.003832
Iberian_Pre-Roman:Celtiberian_I19988__BC_100__Cov_11.99%,0.124 067,0.166547,0.071276,0.004199,0.063089,-0.006136,0.0047,0.01523,0.036405,0.040456,-0.011042,0.0003,-0.020069,-0.014313,0.019815,-0.010872,-0.007953,0.015456,-0.002388,-0.004502,0.012852,-0.004946,-0.016638,-0.033137,-0.002155
Iberian_Pre-Roman:Iberian&Tartesos:I12171__BC_658__Cov_31.63%,0.120652,0.144 205,0.056568,-0.006783,0.061858,-0.004183,0.00235,0.009,0.040905,0.049204,0.005034, 0.009442,-0.027354,-0.023671,0.0038,0.009149,0.009779,-0.002914,0.00352,0.003627,0.013227,-0.006925,-0.00419,-0.020364,-0.005269
Iberian_Pre-Roman:Iberian&Tartesos:I3320__BC_200__Cov_70.14%,0.119514,0.1462 36,0.059585,0.004845,0.06155,-0.005857,-0.0047,0.003692,0.029042,0.045195,-0.002111,0.011839,-0.020367,-0.017616,0.006379,0.006497,0.012386,-0.007221,0.001006,0.001626,0.003743,-0.00507,0.000616,-0.012411,0.004071
Iberian_Pre-Roman:Iberian&Tartesos:I3321__BC_200__Cov_32.10%,0.126344,0.1563 92,0.062979,0.007429,0.060934,-0.010877,0.00376,0.008307,0.041109,0.046288,-0.002923,0.013038,-0.030029,-0.026011,0.013029,0.00716,0.007041,0.011909,0.0075 42,-0.01088,0.0141,-0.011623,-0.000739,-0.02422,-0.007185
Iberian_Pre-Roman:Iberian&Tartesos:I3321_d__BC_200__Cov_10.75%,0.119514,0.16 5531,0.065996,0.029393,0.069244,-0.004183,0.014336,-0.003,0.026793,0.043554,-0.006658,0.014987,-0.038057,-0.017065,0.000271,0.016574,0.00339,0.008235,0.0008 8,-0.011881,0.013351,0.002844,0.002835,-0.018195,-0.016286
Iberian_Pre-Roman:Iberian&Tartesos:I3327__BC_225__Cov_20.93%,0.124067,0.1482 67,0.050157,-0.017765,0.039392,-0.001952,-0.00517,0.005077,0.032315,0.053213,-0.017538,0.014987,-0.013825,-0.031653,0.013029,0.023336,0.02021,0.004561,0.0022 63,0.002626,0.001123,-0.002102,-0.007148,0.00012,0.001078
Iberian_Pre-Roman:Iberian&Tartesos:I3496__BC_250__Cov_11.76%,0.12862,0.14014 3,0.053174,0.008721,0.062473,-0.004462,0.002115,0.005077,0.041109,0.034443,0,0.0 09142,-0.02884,-0.006744,0.003257,0.017502,0.01356,-0.014189,0.010182,-0.001,0.00025,-0.001607,-0.004807,-0.005663,-0.001317
Iberian_Pre-Roman:Iberian&Tartesos:I3323__BC_276__Cov_25.89%,0.121791,0.1574 07,0.052797,-0.001292,0.061858,-0.010877,-0.007755,0.004846,0.031292,0.052484,-0.005359,0.01109,-0.03107,-0.004679,0.001086,-0.000265,0.011865,0.001394,-0.000754,-0.004002,0.003868,0.000742,-0.019966,-0.01687,0.001197
Iberian_Pre-Roman:Iberian&Tartesos:I12878__BC_410__Cov_13.97%,0.142279,0.146 236,0.05242,0.000646,0.062165,0.004183,-0.009635,-0.002769,0.050313,0.046835,-0.004547,0.023079,-0.017245,0.001514,0.019951,-0.006497,-0.011865,-0.007348,0.018352,-0.008629,0.00861,0.006554,0.009737,-0.006748,0.000838
Iberian_Pre-Roman:Iberian&Tartesos:I12410__BC_425__Cov_69.66%,0.133173,0.146 236,0.061471,0.000323,0.07109,-0.007809,-0.000235,0.003692,0.03436,0.047199,-0.002761,0.01139,-0.024826,-0.01101,0.01045,0.011668,0.023469,-0.00114,-0.008673,0.004127,0.004367,0.006183,-0.009737,-0.015906,-0.002874
Iberian_Pre-Roman:Iberian&Tartesos:I12879__BC_479__Cov_23.93%,0.125205,0.154 36,0.06675,0.010659,0.059088,0.002789,-0.013161,0.002308,0.015953,0.033349,-0.003248,0.01109,-0.02334,-0.014588,0.0019,-0.014717,-0.014081,-0.00152,0.012947,0.010005,0.006613,-0.002968,-0.01368,-0.006627,0.000599
Iberian_Pre-Roman:Iberian&Tartesos:I3322__BC_550__Cov_53.56%,0.120652,0.1472 52,0.051288,0.005814,0.061242,-0.006136,0.00047,0.003692,0.038246,0.05376,-0.00341,0.013188,-0.019475,-0.013212,0.017644,-0.014585,-0.021513,0.006208,0.001634,-0.005628,0.004243,0.000618,-0.003451,-0.020244,-0.001796
Iberian_Pre-Roman:Iberian&Tartesos:I4556__BC_600__Cov_25.17%,0.122929,0.1340 5,0.065619,0.005814,0.053548,-0.003904,-0.004935,0.003231,0.029656,0.054671,-0.007145,0.01139,-0.015312,-0.011147,0.011672,0.015513,0.028424,0.004814,-0.000377,-0.005253,-0.002745,0.000989,-0.009983,-0.023015,-0.003353
Italy_Imperial:R38.SG__AD_200__Cov_71.85%,0.102441 ,0.15436,-0.045632,-0.082365,-0.018465,-0.029284,-0.002115,-0.006461,-0.011658,0.01877,0.001461,0.000599,-0.003419,0.003991,-0.009093,-0.012463,-0.011995,0.001014,0.000503,-0.004502,0.002496,-0.000247,-0.002465,0.003133,-0.001078
Italy_Imperial:R40.SG__AD_200__Cov_67.92%,0.106994 ,0.151314,-0.022627,-0.062985,-0.000615,-0.016455,-0.00188,-0.006692,-0.008999,0.027518,0.004222,0.000899,-0.011893,0.003165,-0.017508,0.001326,0.002347,-0.002534,-0.001006,-0.009755,-0.002995,0.002349,-0.012695,0.006507,0.000239
Italy_Imperial:R41.SG__AD_200__Cov_72.20%,0.095611 ,0.139128,-0.035072,-0.070414,0.003385,-0.028726,-0.001175,-0.009461,0.005522,0.022597,0.006658,0.000899,0.001 338,0.002752,-0.008007,-0.000265,0.002217,-0.003674,-0.001006,-0.003252,-0.005241,-0.000742,0.002095,-0.000482,0.003712
Italy_Imperial:R43.SG__AD_200__Cov_80.84%,0.111547 ,0.156392,-0.034318,-0.069445,0.002462,-0.030678,0.00423,-0.007154,-0.004704,0.028429,0.003085,0.009891,-0.013974,0.005505,-0.019408,-0.000398,0.017993,0.003167,0.002891,-0.001376,-0.009109,0.008408,-0.001109,0.010604,0.001557
Italy_Imperial:R44.SG__AD_200__Cov_68.72%,0.118376 ,0.166547,-0.026398,-0.070414,0.005539,-0.02008,0.003995,-0.006231,-0.001432,0.033167,0.005196,0.006894,-0.011893,0.003028,-0.013165,-0.002917,0.01682,-0.000633,-0.002891,-0.005378,0.000749,0.002844,0.001356,0.008194,0.001 916
Italy_Imperial:R49.SG__AD_200__Cov_74.14%,0.10927, 0.15436,-0.004148,-0.039729,0.016003,-0.020638,0.00282,-0.001846,-0.002659,0.016766,0.005196,0.004946,-0.015163,0.002615,-0.009229,0.00411,0.007171,-0.001267,0.003268,-0.007253,0.000624,0.003586,0.000863,-0.008314,0.003113
Italy_Imperial:R51.SG__AD_200__Cov_65.84%,0.111547 ,0.147252,-0.019987,-0.049742,0.016311,-0.029562,-0.000235,-0.010384,0.000205,0.025331,0.002436,0.002997,-0.009514,0.002202,-0.005157,-0.009679,-0.011083,0.005701,0.009176,-0.006128,0.00262,0.005812,0.001849,0.006748,-0.005149
Italy_Imperial:R66.SG__AD_200__Cov_47.00%,0.113823 ,0.157407,-0.034318,-0.068799,0.001539,-0.025658,0.000235,-0.002769,-0.013703,0.02606,0.011042,-0.002847,-0.003865,0.005092,-0.022937,-0.015778,-0.005867,-0.001267,0.003142,-0.015257,-0.003619,0.00507,-0.006409,-0.000723,0.003353
Italy_Imperial:R69.SG__AD_200__Cov_82.37%,0.120652 ,0.148267,-0.015462,-0.05168,0.003693,-0.014502,-0.00188,-0.006692,-0.016975,0.028611,0.001949,0.010491,-0.013231,-0.004404,-0.021851,0.004508,0.034682,0.000507,0.006285,0.002 251,-0.006239,0.000371,-0.009983,-0.003374,-0.005269
Italy_Imperial:R71.SG__AD_200__Cov_59.43%,0.111547 ,0.158423,-0.0445,-0.067507,-0.006463,-0.029841,-0.001645,-0.009923,-0.014317,0.020957,0.000487,0.004796,-0.015015,0.004817,-0.019679,-0.011668,0.008084,0.002914,0.000377,0.003377,-0.003369,-0.005441,0.000986,0.009158,-0.003592
Italy_Imperial:R72.SG__AD_200__Cov_57.94%,0.1161,0 .146236,-0.032809,-0.071706,-0.004616,-0.031236,0.007755,-0.008307,-0.005931,0.028793,0.004384,0.006594,0.002973,0.000 413,-0.011536,-0.003315,0.009518,0.002154,0.007165,-0.002626,0.000749,0.006183,-0.01023,0.000964,0.007544
Italy_Imperial:R73.SG__AD_200__Cov_65.67%,0.087644 ,0.151314,-0.032432,-0.067507,0.000308,-0.019801,-0.004935,-0.006,0.007158,0.02442,0.000974,-0.002997,0.003419,-0.006881,-0.001086,0.016574,0.011343,-0.006461,-0.003268,0.006503,-0.00861,-0.001731,-0.00493,0.002048,0.006826
Italy_Imperial:R125.SG__AD_200__Cov_52.87%,0.11496 1,0.152329,-0.006411,-0.050388,0.008925,-0.011435,0.003995,-0.005769,-0.003886,0.017495,0.000974,0.001948,-0.014569,-0.013625,-0.008143,0.010475,0.02034,0.005574,0.005531,0,0.00 025,0.001113,-0.008504,-0.004579,0.002994
Italy_Imperial:R128.SG__AD_200__Cov_64.46%,0.11723 8,0.151314,-0.034695,-0.05168,-0.007386,-0.022311,0.00094,-0.011307,-0.017998,0.019135,0.003735,0.004646,-0.005798,0.013212,-0.018051,-0.013392,-0.007171,0.003421,0.001131,-0.012131,-0.003494,-0.000247,0.004067,-0.003253,-0.012095
Italy_Imperial:R1543.SG__AD_200__Cov_66.10%,0.0978 88,0.141159,-0.027907,-0.060724,0.006463,-0.017012,0.000235,-0.009461,0.001023,0.022415,0.009419,-0.000899,-0.003122,0.000688,-0.004072,-0.005038,-0.007953,0.003927,-0.003268,-0.007504,-0.00574,-0.003339,-0.007641,-0.008194,-0.000838
Italy_Imperial:R1544.SG__AD_200__Cov_63.52%,0.1092 7,0.14319,-0.015085,-0.040375,0.008309,-0.022032,-0.004465,-0.000231,0.006136,0.014579,0.008931,-0.000749,-0.00446,-0.003578,-0.005429,-0.004508,0.004433,-0.002027,0.001885,-0.005753,0.004118,0.004575,0.000739,-0.005904,-0.001437
Italy_Imperial:R1545.SG__AD_200__Cov_80.97%,0.1104 08,0.152329,-0.030547,-0.062339,0.00277,-0.01757,-0.000705,-0.002077,-0.006136,0.020228,-0.001461,0.004946,-0.008474,-0.000963,-0.013165,-0.014717,-0.01017,0.00152,0.005405,-0.007379,-0.003369,0.009521,-0.003821,0.005904,-0.004191
Germanic:Denmark_IA:VK532_noUDG.SG__AD_100__Cov_94 .74%,0.124067,0.131003,0.061471,0.069445,0.042162, 0.019801,0.003055,0.011307,0.006136,-0.011116,-0.003735,0.009591,-0.005946,-0.006744,0.02253,0.013524,-0.003129,0.010642,0.004148,0.007754,0.005366,0.003 215,0.003821,0.018316,0.005149
Germanic:Sweden_IA:VK522_noUDG.SG__AD_400__Cov_99. 33%,0.129758,0.133034,0.078064,0.06783,0.056934,0. 023148,0.000705,0.011076,0.013499,-0.005467,-0.003573,0.00015,-0.005798,-0.008808,0.018865,0.011668,-0.007432,-0.00076,0.004777,0.008254,0.00262,0.005564,-0.002711,0.019159,-0.000359
Germanic:Norway_IA:VK418_noUDG.SG__AD_350__Cov_50. 76%,0.12862,0.13405,0.06675,0.059109,0.040931,0.02 3985,0.01034,0.016615,0.006954,-0.00656,-0.00065,-0.002398,-0.006541,-0.003441,0.03108,-0.004641,-0.033118,0.00076,0.001508,0.002751,0.012977,0.0027 2,-0.001972,0.005543,-0.004311


Target: Beowulf_Scaled
Distance: 0.0116% / 0.01163933
37.2 Germanic
35.6 Iberian_Pre-Roman
27.2 Italy_Imperial

[EasternLusitanian]

Target: MV_scaled
Distance: 0.0206% / 0.02062148
56.5 Iberian_Pre-Roman
33.0 Italy_Imperial
10.5 Germanic