K12b aDNA (Dodecad K12b)

They look like Mediterranean people mixed with Eastern Mediterranean and Near Eastern populations, which is consistent with the proposed trajectory.

Rswxx9Q.png

great jovialis (y)
indeed but some of them i presume the erfurt-eu group
have above 30% yamnaya that maybe has a conection
to some east european ancestery
that this group had compare to the erfurt -me group
can you check them with modern populations ?



p.s
by the way from salento k12b values
the e1b1b1b2 dude i14847 who are under the erfurt -eu groupamong others
in k12b have 22% north european
now lets put the cards on the table i have 14.8% north european in k12b ( and i am 1/4 bulgarian i know they are south slav almost all of this came from bulgarian since sefhardi and mizrahi have very low % baltic north european element)
still in the erfurt-eu group compare to the me_erfurt group must have been some eastern european geneflow i don't know when but its there
 
Last edited:
... consolidating Haber_2019 (2018 ?) ... Crusaders and Roman Era Lebanon, ... I included the previously published samples to make it simple:

Code:
SI-38_Crusader_LB_Sidon,11.16,1.14,0,0,19.01,0,0,0.83,26.72,0,39.69,1.45
SI-42_Crusader_LB_Sidon,9.77,0,5.14,1.28,15.63,0,0,2.64,23.94,0,41.26,0.34
SI-44_Crusader_LB_Sidon,10.06,0,3.27,0,25.04,0,0,0.05,20.51,0,41.07,0
SI-45_Crusader_LB_Sidon,11.87,0,6.67,0.57,17.02,0,0,0.87,22.00,0,39.90,1.10
QED-2_RomanEra_LB_Qornet-ed-Deir,11.94,0,5.71,0,16.55,0.10,0,1.40,25.09,1.92,37.28,0
QED-4_RomanEra_LB_Qornet-ed-Deir,10.27,0,2.89,0,17.48,0,0.96,1.31,24.97,0,42.11,0
QED-7_RomanEra_LB_Qornet-ed-Deir,10.67,0,3.13,0.64,12.99,1.07,0,1.12,25.58,1.06,43.74,0
QED-12_RomanEra_LB_Qornet-ed-Deir,4.09,0.16,2.75,0,15.51,2.48,0,2.02,29.09,1.80,42.11,0
Crusader_Pit:SI39:Haber_2019,6.95,1.03,0,0,34.51,40.91,2.01,0,0,0.18,12.88,1.53
Crusader_Pit:SI40:Haber_2019,4.28,0.74,3.35,0,47.07,26.39,0,0.37,5.96,0.18,10.79,0.86
Crusader_Pit:SI41:Haber_2019,3.2,0,8.67,0,37.38,17.9,0.25,2.24,8.44,0.1,18.87,2.93
Crusader_Pit:SI47:Haber_2019,9.87,0,0.6,0,35.64,40.84,0,1.53,1.29,1.56,7.96,0.71
Crusader_Pit:SI53:Haber_2019,8.18,0.59,1.46,0,27.16,18.68,0.36,0.31,9.76,0,32.79,0.7
 
Harney 2022 ... Ancient DNA analysis of 27 African Americans from Catoctin Furnace, Maryland

Code:
I15338_cov-3.39%,0.00,0.00,0.00,7.13,0.00,2.47,0.00,0.00,0.00,0.00,2.65,87.74
I15339_cov-7.48%,1.15,0.00,0.00,0.00,3.59,2.93,2.72,15.42,0.00,0.00,0.00,74.19
I15333_cov-51.35%,0.00,0.00,0.09,0.27,0.00,0.07,0.00,11.41,0.00,0.00,0.00,88.15
I15336_cov-42.11%,0.00,1.52,1.30,0.04,1.82,2.78,0.00,10.61,0.00,0.00,0.00,81.93
I15335_cov-35.25%,0.00,0.00,0.00,0.07,0.00,1.13,0.17,11.61,0.00,0.00,0.00,87.02
I15334_cov-61.20%,0.00,0.09,0.85,0.38,0.01,0.00,0.75,9.66,0.00,0.70,0.00,87.56
I15331_cov-65.29%,1.46,1.64,0.33,1.50,1.95,4.34,0.38,11.63,0.00,0.00,1.60,75.16
I15330_cov-43.69%,0.79,0.46,0.82,1.40,4.23,5.48,0.00,8.18,0.00,2.09,0.00,76.56
I15340_cov-51.90%,0.00,0.00,0.37,0.98,0.00,0.00,0.00,9.04,0.00,0.00,0.00,89.61
I15337_cov-36.56%,1.78,0.00,0.35,0.00,1.37,2.40,0.72,8.58,0.00,0.83,0.00,83.95
I15332_cov-33.10%,0.00,0.00,1.63,0.40,5.55,4.27,0.00,12.40,0.73,0.00,0.00,75.02
I8094_cov-59.75%,2.08,0.00,0.00,0.00,2.89,6.16,0.00,9.63,0.00,0.00,0.03,79.22
I8097_cov-68.18%,0.04,0.00,4.36,0.00,0.00,0.88,0.00,7.75,0.17,1.75,0.00,85.04
I8096_cov-63.42%,0.00,0.00,3.76,0.23,3.62,3.00,0.00,6.85,0.45,1.15,0.56,80.38
I8095_cov-66.05%,0.00,0.29,2.45,0.00,0.48,0.00,0.13,5.87,0.00,1.01,0.00,89.78
I8090_d_cov-2.35%,0.00,0.00,0.00,4.00,5.81,0.00,0.00,10.36,0.00,1.07,0.00,78.77
I8093_cov-44.03%,2.08,0.80,1.72,0.00,3.20,3.20,0.18,12.33,0.00,0.76,0.00,75.73
I8092_cov-54.16%,0.97,1.12,0.00,0.00,3.74,5.95,0.00,13.38,0.13,0.00,0.00,74.71
I8091_cov-32.91%,3.86,0.00,3.42,0.00,6.97,8.74,0.00,5.36,0.32,0.00,0.00,71.33
I8089_cov-43.84%,0.08,0.01,0.31,0.00,0.30,0.80,0.00,10.32,0.00,0.00,0.00,88.18
I8087_cov-48.29%,0.00,0.00,0.00,0.00,1.08,1.86,0.00,10.45,0.00,0.00,0.00,86.60
I8086_cov-43.53%,0.00,0.00,0.00,0.00,0.00,2.41,0.00,6.63,0.00,0.00,0.00,90.96
I8085_cov-43.99%,1.24,0.00,3.56,0.00,1.18,0.09,0.00,10.22,0.00,0.01,1.04,82.66
I8084_cov-22.67%,0.00,0.58,0.00,0.96,0.94,2.64,0.00,10.61,0.00,0.00,0.00,84.27

https://reich.hms.harvard.edu/sites...es/inline-files/Catoctin_Technical_Note_0.pdf
 
Harney 2022 ... Ancient DNA analysis of 27 African Americans from Catoctin Furnace, Maryland

Code:
I15338_cov-3.39%,0.00,0.00,0.00,7.13,0.00,2.47,0.00,0.00,0.00,0.00,2.65,87.74
I15339_cov-7.48%,1.15,0.00,0.00,0.00,3.59,2.93,2.72,15.42,0.00,0.00,0.00,74.19
I15333_cov-51.35%,0.00,0.00,0.09,0.27,0.00,0.07,0.00,11.41,0.00,0.00,0.00,88.15
I15336_cov-42.11%,0.00,1.52,1.30,0.04,1.82,2.78,0.00,10.61,0.00,0.00,0.00,81.93
I15335_cov-35.25%,0.00,0.00,0.00,0.07,0.00,1.13,0.17,11.61,0.00,0.00,0.00,87.02
I15334_cov-61.20%,0.00,0.09,0.85,0.38,0.01,0.00,0.75,9.66,0.00,0.70,0.00,87.56
I15331_cov-65.29%,1.46,1.64,0.33,1.50,1.95,4.34,0.38,11.63,0.00,0.00,1.60,75.16
I15330_cov-43.69%,0.79,0.46,0.82,1.40,4.23,5.48,0.00,8.18,0.00,2.09,0.00,76.56
I15340_cov-51.90%,0.00,0.00,0.37,0.98,0.00,0.00,0.00,9.04,0.00,0.00,0.00,89.61
I15337_cov-36.56%,1.78,0.00,0.35,0.00,1.37,2.40,0.72,8.58,0.00,0.83,0.00,83.95
I15332_cov-33.10%,0.00,0.00,1.63,0.40,5.55,4.27,0.00,12.40,0.73,0.00,0.00,75.02
I8094_cov-59.75%,2.08,0.00,0.00,0.00,2.89,6.16,0.00,9.63,0.00,0.00,0.03,79.22
I8097_cov-68.18%,0.04,0.00,4.36,0.00,0.00,0.88,0.00,7.75,0.17,1.75,0.00,85.04
I8096_cov-63.42%,0.00,0.00,3.76,0.23,3.62,3.00,0.00,6.85,0.45,1.15,0.56,80.38
I8095_cov-66.05%,0.00,0.29,2.45,0.00,0.48,0.00,0.13,5.87,0.00,1.01,0.00,89.78
I8090_d_cov-2.35%,0.00,0.00,0.00,4.00,5.81,0.00,0.00,10.36,0.00,1.07,0.00,78.77
I8093_cov-44.03%,2.08,0.80,1.72,0.00,3.20,3.20,0.18,12.33,0.00,0.76,0.00,75.73
I8092_cov-54.16%,0.97,1.12,0.00,0.00,3.74,5.95,0.00,13.38,0.13,0.00,0.00,74.71
I8091_cov-32.91%,3.86,0.00,3.42,0.00,6.97,8.74,0.00,5.36,0.32,0.00,0.00,71.33
I8089_cov-43.84%,0.08,0.01,0.31,0.00,0.30,0.80,0.00,10.32,0.00,0.00,0.00,88.18
I8087_cov-48.29%,0.00,0.00,0.00,0.00,1.08,1.86,0.00,10.45,0.00,0.00,0.00,86.60
I8086_cov-43.53%,0.00,0.00,0.00,0.00,0.00,2.41,0.00,6.63,0.00,0.00,0.00,90.96
I8085_cov-43.99%,1.24,0.00,3.56,0.00,1.18,0.09,0.00,10.22,0.00,0.01,1.04,82.66
I8084_cov-22.67%,0.00,0.58,0.00,0.96,0.94,2.64,0.00,10.61,0.00,0.00,0.00,84.27

https://reich.hms.harvard.edu/sites...es/inline-files/Catoctin_Technical_Note_0.pdf


thanks for sharing interesting(y)
a dark chapter in the history of the usa :sadcry:
unsurprisingly most males belong to e1b1a
yet 3/16 18% of the male samples belonged to haplogroup r1b and r1a
autosomally speaking i see from the k12b values you posted
some of them had 9-10% european admixture
 
thanks for sharing interesting(y)
a dark chapter in the history of the usa :sadcry:
unsurprisingly most males belong to e1b1a
yet 3/16 18% of the male samples belonged to haplogroup r1b and r1a
autosomally speaking i see from the k12b values you posted
some of them had 9-10% european admixture
off topic … around that time, it wasn't just a USA “dark chapter” … there are many Countries with that same chapter!
 
... Early Medieval Alemannic graveyard

Code:
NIEcap1_EarlyMedieval_Alemanic,11.90,0,1.32,0,35.02,47.83,0,0,3.19,0,0.54,0.19
NIEcap3a_EarlyMedieval_Alemanic,11.71,0.47,0,0,37.27,47.12,0,0,0,0,3.09,0.33
NIEcap3b_EarlyMedieval_Alemanic_Byzantine,4.37,0.30,0.23,0,30.36,25.70,1.31,0,7.36,0,30.07,0.31
NIEcap3c_EarlyMedieval_Alemanic_Byzantine,2.51,0,1.32,0,37.39,24.33,0,0,4.48,0,28.07,1.90
NIEcap6_EarlyMedieval_Alemanic_Langobardian,13.02,1.32,0.40,0.34,32.12,44.78,1.93,0,0.24,0,5.54,0.31
NIEcap9_EarlyMedieval_Alemanic,10.39,0.97,0,0,38.21,49.40,0,0.82,0.01,0,0,0.20
NIEcap12b_EarlyMedieval_Alemanic_Byzantin_8.99%,2.73,0,0,0,32.93,52.47,0,0,2.51,0,9.37,0
NIEcap12c_EarlyMedieval_Alemanic_Byzantine_22.74%,6.66,0.64,0,0,36.50,48.78,0.03,0,0,0,5.42,1.96

Sullivan 2018 https://www.science.org/doi/10.1126/sciadv.aao1262
 
Thank you Salento. Playing with the medieval and LBK coordinates produced by you on this site.

Distance to:Duarte
8.57093927Crusader_Pit:SI40:Haber_2019
11.25954262Crusader_Pit:SI41:Haber_2019
17.26660071NIEcap3c_EarlyMedieval_Alemanic_Byzantine
21.10948839Crusader_Pit:SI39:Haber_2019
21.31486570Crusader_Pit:SI47:Haber_2019
21.91869978I14904_M_Germany_Medieval_cov-60pc
22.65902028NIEcap3b_EarlyMedieval_Alemanic_Byzantine
23.09019056I13866_M_Germany_Medieval_cov-55pc
24.70602356I14897_F_Germany_Medieval_cov-20pc
25.28561844I14738_F_Germany_Medieval_cov-71pc
25.36842723I13868_M_Germany_Medieval_cov-53pc
25.51224216I14847_M_Germany_Medieval_cov-73pc
26.15171696I14850_F_Germany_Medieval_cov-49pc
26.84308477I13862_M_Germany_Medieval_cov-70pc
26.88810518Crusader_Pit:SI53:Haber_2019
27.37655566I14740_F_Germany_Medieval_cov-72pc
27.40165871NIEcap6_EarlyMedieval_Alemanic_Langobardian
27.50720633I14898_F_Germany_Medieval_Daughter_I14850_cov-10pc
28.07409304I13867_F_Germany_Medieval_cov-67pc
28.26667472I13869_F_Germany_Medieval_Daughter_I14904_cov-52pc
28.38642633I14853_M_Germany_Medieval_Son_I14850_cov-46pc
28.43367722NIEcap3a_EarlyMedieval_Alemanic
28.48124646NIEcap12c_EarlyMedieval_Alemanic_Byzantine_22.74%
29.84604999DER020_LBK_cov-9pc
29.95694077I14736_F_Germany_Medieval_cov-59pc
30.06108115NIEcap1_EarlyMedieval_Alemanic
30.24764784DER017_LBK_cov-17pc
30.87539959DER026_LBK_cov-34pc
31.15209945NIEcap9_EarlyMedieval_Alemanic
31.24445391DER030_LBK_cov-24pc
31.97356408I13865_M_Germany_Medieval_cov-47pc
32.14932348NIEcap12b_EarlyMedieval_Alemanic_Byzantin_8.99%
32.27004338I13864_M_Germany_Medieval_cov-58pc
32.57638715DER033_LBK_cov-60pc
32.64030790DER011_LBK_cov-36pc
32.79996799DER035b_LBK_cov-34pc
32.80352725DER003_LBK_cov-40pc
33.04578037DER022_LBK_cov-53pc
33.05243259DER010_LBK_cov-48pc
33.11956974DER034_LBK_cov-48pc
33.14093089DER028_LBK_cov-60pc
33.24990827DER024_LBK_cov-49pc
33.27987680DER018_LBK_cov-36pc
33.34304275DER032_LBK_cov-55pc
33.52549478DER002_LBK_cov-63pc
33.56299748DER014_LBK_cov-37pc
33.62695942DER006_LBK_cov-39pc
33.76272649DER019_LBK_cov-20pc
33.81373242DER023_LBK_cov-61pc
33.82876439DER012_LBK_cov-48pc
33.83556413DER005_LBK_cov-37pc
33.91454555I14851_F_Germany_Medieval_cov-39pc
34.14301832I14846_M_Germany_Medieval_cov-5pc
34.20973984DER021_LBK_cov-37pc
34.26508427DER007_LBK_cov-56pc
34.28671317DER029_LBK_cov-32pc
34.31409186DER036_LBK_cov-59pc
34.37816022DER004_LBK_cov-17pc
34.51094609I13863_F_Germany_Medieval_cov-23pc
34.88565894DER037_LBK_cov-13pc
34.92569971DER013_LBK_cov-60pc
34.94173579DER009_LBK_cov-66pc
35.00937303I14741_F_Germany_Medieval_cov-11pc
35.06716698DER015_LBK_cov-45pc
35.17614248I13861_F_Germany_Medieval_cov-28pc
35.32994198DER031_LBK_cov-19pc
35.57354776I14739_F_Germany_Medieval_cov-28pc
35.79864104I14903_F_Germany_Medieval_cov-52pc
37.93013973I13870_M_Germany_Medieval_cov-31pc
38.32641256I14737_F_Germany_Medieval_cov-34pc
44.23699018SI-44_Crusader_LB_Sidon
47.78580438SI-45_Crusader_LB_Sidon
48.01036763QED-2_RomanEra_LB_Qornet-ed-Deir
48.97895160SI-38_Crusader_LB_Sidon
49.88873721SI-42_Crusader_LB_Sidon
50.04785310QED-4_RomanEra_LB_Qornet-ed-Deir
51.71171627QED-12_RomanEra_LB_Qornet-ed-Deir
53.13785562QED-7_RomanEra_LB_Qornet-ed-Deir
Distance to:Duarte
5.3588936959.60% Crusader_Pit:SI40:Haber_2019 + 40.40% Crusader_Pit:SI41:Haber_2019
6.5067138183.20% Crusader_Pit:SI40:Haber_2019 + 16.80% I14853_M_Germany_Medieval_Son_I14850_cov-46pc
6.6596826582.00% Crusader_Pit:SI40:Haber_2019 + 18.00% I14847_M_Germany_Medieval_cov-73pc
6.6617809782.80% Crusader_Pit:SI40:Haber_2019 + 17.20% I13862_M_Germany_Medieval_cov-70pc
6.6737943286.80% Crusader_Pit:SI40:Haber_2019 + 13.20% I14903_F_Germany_Medieval_cov-52pc
6.6933109110.20% SI-45_Crusader_LB_Sidon + 89.80% Crusader_Pit:SI40:Haber_2019
6.7083686823.00% NIEcap9_EarlyMedieval_Alemanic + 77.00% Crusader_Pit:SI41:Haber_2019
6.7242576079.60% Crusader_Pit:SI40:Haber_2019 + 20.40% I14904_M_Germany_Medieval_cov-60pc
6.7408852286.80% Crusader_Pit:SI40:Haber_2019 + 13.20% I14739_F_Germany_Medieval_cov-28pc
6.7612863286.60% Crusader_Pit:SI40:Haber_2019 + 13.40% I13863_F_Germany_Medieval_cov-23pc
6.7670783082.80% Crusader_Pit:SI40:Haber_2019 + 17.20% I14850_F_Germany_Medieval_cov-49pc
6.7732404786.40% Crusader_Pit:SI40:Haber_2019 + 13.60% I14851_F_Germany_Medieval_cov-39pc
6.7997196386.80% Crusader_Pit:SI40:Haber_2019 + 13.20% I14741_F_Germany_Medieval_cov-11pc
6.8215572583.40% Crusader_Pit:SI40:Haber_2019 + 16.60% Crusader_Pit:SI53:Haber_2019
6.8389175688.00% Crusader_Pit:SI40:Haber_2019 + 12.00% I14737_F_Germany_Medieval_cov-34pc
6.850345819.40% SI-42_Crusader_LB_Sidon + 90.60% Crusader_Pit:SI40:Haber_2019
6.8620337824.40% NIEcap3a_EarlyMedieval_Alemanic + 75.60% Crusader_Pit:SI41:Haber_2019
6.8753871385.00% Crusader_Pit:SI40:Haber_2019 + 15.00% I14736_F_Germany_Medieval_cov-59pc
6.8797346187.00% Crusader_Pit:SI40:Haber_2019 + 13.00% I13861_F_Germany_Medieval_cov-28pc
6.8996625284.20% Crusader_Pit:SI40:Haber_2019 + 15.80% I13867_F_Germany_Medieval_cov-67pc
6.940484789.60% QED-2_RomanEra_LB_Qornet-ed-Deir + 90.40% Crusader_Pit:SI40:Haber_2019
6.9429599482.80% Crusader_Pit:SI40:Haber_2019 + 17.20% I14738_F_Germany_Medieval_cov-71pc
7.0136259988.40% Crusader_Pit:SI40:Haber_2019 + 11.60% I13870_M_Germany_Medieval_cov-31pc
7.0139983682.80% Crusader_Pit:SI40:Haber_2019 + 17.20% I14897_F_Germany_Medieval_cov-20pc
7.016949038.60% QED-7_RomanEra_LB_Qornet-ed-Deir + 91.40% Crusader_Pit:SI40:Haber_2019


Target: Duarte
Distance: 4.8787% / 4.87865198
45.4Crusader_Pit:SI41:Haber_2019
36.0Crusader_Pit:SI40:Haber_2019
7.8NIEcap3a_EarlyMedieval_Alemanic
6.2NIEcap9_EarlyMedieval_Alemanic
4.6DER037_LBK_cov-13pc


 
… thanks Duarte, … Protector of the Cross :)
 
… about Post # 87 (Early Medieval Alemannic), MTA named the samples NS…

NIEcap3c = NS3c North Roman Warrior
NIEcap3b = NS3b Byzantine Roman Warrior
NIEcap3A = NS3a Merovingian Noble
NIEcap9 = NS9 Merovingian Lord
NIEcap1 = NS1 Merovingian Noble
NIEcap12b = NS12b Merovingian Noble
and so on …
 
I got from Gedmatch the coordinates K12b of Louchbour’s man and play with some ancient K12b coordinates produced by Jovialis, in a fictional K8 model (CHG, WHG, LBK_EN, Salzmuende_MN, Remedello, Yamnaya_Samara, Iberomaurusian, SSA). The distances are not bad to the Iberians and French K12b modern coordinates produced by Pax and Salento. Of course this is just a game and not science, but is nice to play, lol.

Code:
Iberomaurusian:TAF009:Loosdrecht_2018,0,3.54,60.38,2.05,0,0,2.48,18.95,8.83,0,0,3.78
Iberomaurusian:TAF010:Loosdrecht_2018,0,0.55,63.9,3.27,0,0.17,1.39,18.7,5.98,0,0,6.05
Iberomaurusian:TAF011:Loosdrecht_2018,0,1.28,64.11,2.45,0,0.07,0.7,18.22,5.74,0.18,0,7.24
Iberomaurusian:TAF012:Loosdrecht_2018,0,1.79,63.81,0.8,0.44,0,3.27,16.18,5.76,0.59,0,7.35
Iberomaurusian:TAF013:Loosdrecht_2018,0,1.07,61.84,2.72,0,0.02,1.89,18.58,6.99,0,0,6.89
Iberomaurusian:TAF014:Loosdrecht_2018,0,0.74,62.76,2.95,0,0,2.12,18.14,5.34,0,0,7.95
Iberomaurusian:TAF015:Loosdrecht_2018,0,0,62.82,1.87,0,0.9,0,15.76,6.67,3.45,0,8.52
CHG:KK1_(Kotias):Jones_2015,38.72,0.69,0,0,0,6.95,0.02,0,0,0,51.67,1.95
CHG:SATP_(Satsurblia):Jones_2015,45.63,0.44,0,0,0,1.74,0.54,0,0,0,49.54,2.11
WHG_Loschbour,0,0,0,0,30.57,68.87,0,0,0,0.35,0,0.21
LBK_EN:I0022_LBK1976:Haak_2015,0,0,0.54,0,49.81,5.69,0,1.53,13.7,0,28.73,0
LBK_EN:I0025_LBK1992:Haak_2015,0,0,5.76,0.41,53.66,0,0,0,12.97,0.73,25.12,1.36
LBK_EN:I0026_LBK2155:Haak_2015,0,0,4.6,0,49,0.97,0,0.31,10.77,0.84,33.32,0.2
LBK_EN:I0046_HAL5:Haak_2015,0,0,3.13,0,56.59,0.57,0,0,13.95,0,25.76,0
LBK_EN:I0048_HAL25:Haak_2015,0,0,0.16,0,53.59,2.6,0,1.45,9.17,0,33.03,0
LBK_EN:I0054_UWS4:Haak_2015,0,0,2.87,0,55.51,0.93,0,0.05,7.69,0,32.95,0
LBK_EN:I0056_HAL14:Haak_2015,0,0,0.59,0,53.9,2.15,0,0,14.39,1.01,27.96,0
LBK_EN:I0057_HAL34:Haak_2015,0,0,5.5,0,52.81,0,0,0.04,10.5,0,31.16,0
LBK_EN:I0100_HAL4:Haak_2015,0,0,2.41,0,56.52,0.36,0,0,12.44,0,28.28,0
LBK_EN:I0659_HAL2:Haak_2015,0,0,2.28,0.39,58.01,0,0,0,9.53,0,29.38,0.4
LBK_EN:I0795_KAR6:Haak_2015,0,0,2.81,0,45.63,0,0,0,14.89,0,36.3,0.37
LBK_EN:I0821_HAL24:Haak_2015,0,0,0,0,50.73,0,0,0,10.95,0,38.32,0
LBK_EN:I0018:Lipson_2017,0,0,4.51,0,54.23,1.93,0,0.2,10.96,0.25,27.69,0.21
LBK_EN:I0046:Lipson_2017,0,0,4.12,0,53.68,0,0,0,14.14,0,28.04,0.02
LBK_EN:I0048:Lipson_2017,0,0,0,0,51.25,0,0,0,13.03,0.68,35.04,0
LBK_EN:I0056:Lipson_2017,0,0,2.32,0,56.3,1.42,0,0,13.47,0,26.48,0
LBK_EN:I0057:Lipson_2017,0,0,4,0,51.94,0,0,0.08,13.26,0,30.44,0.28
LBK_EN:I0100:Lipson_2017,0,0,2.75,0,55.38,0.52,0,0,12.86,0,28.05,0.43
LBK_EN:I0659:Lipson_2017,0,0,1.42,0.34,56.97,0,0,0,12.14,0.03,29.08,0.01
LBK_EN:I0821:Lipson_2017,0,0,3.4,0,49.68,0,0,0,14.58,0,32.34,0
LBK_EN:I1550:Lipson_2017,0,0,5.12,0,53.75,0.27,0,0,11.34,0.28,29.2,0.04
LBK_EN:I2005:Lipson_2017,0,0,0,0,20.46,12.21,0,1.79,28.84,0,36.7,0
LBK_EN:I2008:Lipson_2017,0,0,2.63,0,56.44,0,0,0,16.79,0,24.14,0
LBK_EN:I2014:Lipson_2017,0,0,0,0,45.67,1.52,0,0.21,20.23,0,30.6,1.77
LBK_EN:I2016:Lipson_2017,0,1.18,8.9,0,51.46,0,0,0,8.18,0,30.28,0
LBK_EN:I2017:Lipson_2017,0,0,0,0,51.23,0,0,0,15.57,0,33.21,0
LBK_EN:I2020:Lipson_2017,0,0.19,6.24,0,60.21,0,0,0,18.63,0,14.72,0
LBK_EN:I2021:Lipson_2017,0,0,0,0,34.51,0,0,0.21,15.55,0,47.83,1.89
LBK_EN:I2022:Lipson_2017,0,0,0,0,44.69,0,0,0,34.92,0,20.39,0
LBK_EN:I2026:Lipson_2017,0,0,3.21,0,48.46,6.87,0,0,12.59,0,28.87,0
LBK_EN:I2029:Lipson_2017,0,0,1.65,0,53.28,0.13,0,0,15.2,0,29.75,0
LBK_EN:I2030:Lipson_2017,0,0,1.28,0,52.34,0,0,0,13.63,0,32.4,0.35
LBK_EN:I2032:Lipson_2017,0,0,2.43,0,50.18,0.83,0,0,13.75,0,32.81,0
LBK_EN:I2036:Lipson_2017,0,0,2.92,0,53.24,0,0,0,14.71,0.09,28.92,0.12
LBK_EN:I2037:Lipson_2017,0,0.67,7.44,0,51.05,0,0,0,13.62,0,27.22,0
LBK_EN:I2038:Lipson_2017,0,0,6.06,0,46.96,0,0,0,14.56,0,32.31,0.11
LBK_EN:I0022:Mathieson_2015,0,0,2.11,0,49.7,4.26,1.11,0.37,13.57,0.69,27.59,0.6
LBK_EN:I0025:Mathieson_2015,0,0,4.98,0.63,50.82,2.05,0,0,13.19,0.05,27.04,1.25
LBK_EN:I0026:Mathieson_2015,0,0,3.9,0,51.31,0,0,0.33,13.1,0.7,30.34,0.31
LBK_EN:I0046:Mathieson_2015,0,0,3.48,0,53.6,0.01,0,0,14.35,0,28.49,0.07
LBK_EN:I0047:Mathieson_2015,10.65,0,0,0,32.78,48.77,0,0.36,0,0,6.59,0.85
LBK_EN:I0048:Mathieson_2015,0,0,3.78,0,53.81,0,0,0.25,11.31,0,30.85,0
LBK_EN:I0054:Mathieson_2015,0,0,3.42,0.02,52.41,0.68,0,0.05,11.18,0.08,32.1,0.05
LBK_EN:I0056:Mathieson_2015,0,0,2.39,0,56.29,1.17,0,0,12.21,0,27.94,0
LBK_EN:I0057:Mathieson_2015,0,0,5.91,0,52.02,0,0,0,12.38,0,29.69,0
LBK_EN:I0100:Mathieson_2015,0,0,2.76,0,55.1,0.79,0,0,12.71,0,28.19,0.45
LBK_EN:I0659:Mathieson_2015,0,0,1.45,0.11,57.06,0,0,0,12.12,0.15,29.07,0.04
LBK_EN:I0795:Mathieson_2015,0,0,0,0,52.23,3.86,0,0,17.11,0,26.8,0
LBK_EN:I0797:Mathieson_2015,0,0.45,3.45,0,59.31,0,0,0.53,15.77,0,20.49,0
LBK_EN:I0821:Mathieson_2015,0,0,0,0,47.31,0,0,0,13.34,0,39.35,0
LBK_EN:I1550:Mathieson_2015,0,0,5.15,0,54.63,1.49,0,0,11.04,0.24,27.45,0
Salzmuende_MN:I0800:Lipson_2017,0,0,0,0,54.66,15.81,0,0,12.45,0,16.82,0.26
Salzmuende_MN:I0802:Lipson_2017,0,0,0,5.4,48.03,20.35,0,0,6.14,0,17.83,2.25
Remedello:RISE486:Allentoft_2015,0,0,0.97,2.12,59.48,10.97,0,0,9.02,0,15.53,1.91
Remedello:RISE487:Allentoft_2015,0,0,1.36,0,75.55,12.12,0,0,0.84,0,9.88,0.24
Remedello:RISE489:Allentoft_2015,0,0,0,0,72.08,12.24,0,0,5.69,0,9.99,0
Yamnaya_Samara:I0231:Mathieson_2015,29.21,3.13,0,0,3.94,57.21,2.44,0,0,0,3.33,0.75
Yamnaya_Samara:I0357:Mathieson_2015,30.56,1.4,0,0,7.38,54.65,1.41,0,0,0,4.49,0.12
Yamnaya_Samara:I0370:Mathieson_2015,30.97,3.96,0,0,4.88,57.16,0.12,0,0,0,1.92,0.99
Yamnaya_Samara:I0429:Mathieson_2015,28.47,1.92,0,0,3.71,62.57,0.96,0.21,0,0,1.45,0.7
Yamnaya_Samara:I0438:Mathieson_2015,26.82,1.54,0,0.39,0.6,60.83,1.8,0,0,0,7.77,0.25
Yamnaya_Samara:I0439:Mathieson_2015,24.1,0.47,0,0.94,8.87,55.96,2.12,0,0,0,7.16,0.37
Yamnaya_Samara:I0441:Mathieson_2015,33.85,2.03,0,0.21,1.48,59.11,2.63,0,0,0,0,0.69
Yamnaya_Samara:I0443:Mathieson_2015,29.61,2.46,0,0,3.67,58.66,0.07,0,0,0,4.84,0.69
Yamnaya_Samara:I0444:Mathieson_2015,29.41,1.68,0,0,6.52,59.52,0.6,0.02,0,0,1.07,1.19
SSA:YRI30,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,100.00
TargetDistanceCHGIberomaurusianLBK_ENRemedelloSalzmuende_MNSSAWHG_LoschbourYamnaya_Samara
Portugal:portugal10.479667420.06.233.128.80.00.013.118.8
Portugal:portugal20.768501460.17.654.77.10.00.015.015.5
Portugal:portugal30.498376460.05.455.64.05.10.018.011.9
Portugal:portugal61.250856010.06.233.623.70.00.019.117.4
Portugal:portugal70.788366000.06.346.619.80.00.012.914.4
Portugal:portugal91.554188340.07.131.827.70.00.015.817.6
Portugal:portugal100.556206510.03.262.00.80.00.020.213.8
Portugal:portugal110.270321310.05.043.911.43.00.014.921.8
Portugal:portugal120.417877070.03.963.84.60.00.117.410.2
Portugal:portugal130.677171940.04.343.621.20.00.010.920.0
Spain:Spain10.986045900.01.911.860.30.00.00.026.0
Spain:Spain20.468774940.00.524.942.80.00.015.616.2
Spain:Spain30.862868250.01.425.445.50.00.07.819.9
Spain:Spain40.424615811.90.030.242.20.00.08.816.9
Spain:Spain50.235427105.00.737.324.33.40.023.36.0
Spain:Spain60.849719470.61.732.337.70.00.011.716.0
Spain:Spain80.814464940.05.712.361.10.00.00.020.9
Spain:Spain90.086380652.41.129.051.22.00.30.014.0
Spain:Spain101.092953390.08.110.156.60.00.00.025.2
Spain:Spain110.415239260.00.236.336.96.30.12.417.8
Spain:Spain120.337086320.34.424.648.14.00.00.018.6
Spain:Spain131.222313380.04.415.551.90.00.03.225.0
Duarte0.261807404.58.225.828.118.13.26.45.7
Canarias_1000Genomes1.025725910.014.528.141.00.00.02.913.5
French_Provence-Provance25080.381358190.30.056.36.20.00.015.821.4
French_Provence-Provance27080.451980470.90.569.43.30.90.07.217.8
French_Provence-Provance41090.703095070.00.642.417.04.70.016.918.4
French_Provence-Provance44090.152369701.20.049.03.70.00.428.117.6
French_Provence-Provance45090.527635450.20.042.218.50.00.020.718.4
Corsica:Corsica037080.315902670.40.974.00.00.00.012.312.4
Corsica_o:corsica119080.426037090.30.465.90.60.00.018.114.7
Corsica_o:Corsica147080.358090911.10.172.90.00.00.015.610.3
Corsica:Corsica195080.390086710.00.170.90.00.00.016.612.4
Corsica:Corsica245080.288729520.00.065.40.96.90.08.917.9
Corsica:corsica290080.250087152.20.076.30.00.00.09.112.4
Corsica:Corsica297080.405191162.80.075.20.20.00.09.212.6
Corsica_o:CorsicaS007080.710763520.00.051.415.90.00.018.813.9
Corsica:CorsicaS033080.278788731.50.070.90.03.00.014.410.2
Corsica:CorsicaS042080.413038476.50.066.80.00.00.019.47.3
Corsica:CorsicaS102080.542003982.90.069.20.04.80.016.66.5
Corsica_o:CorsicaS133080.722700588.80.042.017.40.00.028.63.2
Corsica:CorsicaS138081.072242653.92.060.50.06.10.926.60.0
Corsica:CorsicaS156080.235742050.70.275.20.00.04.315.73.9
Corsica:CorsicaS299080.658637299.90.263.80.00.00.022.73.4
Average0.582487201.32.647.119.61.60.213.214.5
 
@Duarte … I read that there's more than one Louchbour’s man sample, … not that important, though they recommend using the one with more SNPs.
… this applies to all samples :)

I posted two Louchb… together somewhere.

off topic … my device still autocorrect “Duarte / with a Spaniard member” … LOL
 
Lol, lol. Thanks Salento.
The Loschbour I used is identified in Gedmatch with the ID F999918.
 
Distance to: Torziok12b
9.68022727 NIEcap3c_EarlyMedieval_Alemanic_Byzantine
11.36605033 NIEcap3b_EarlyMedieval_Alemanic_Byzantine
13.87628192 Crusader_Pit:SI41:Haber_2019
15.66039910 Crusader_Pit:SI40:Haber_2019
16.72589609 Crusader_Pit:SI39:Haber_2019
17.42779963 Salzmuende_MN:I0802:Lipson_2017
17.79240006 Crusader_Pit:SI53:Haber_2019
19.28008817 Crusader_Pit:SI47:Haber_2019
24.67971637 NIEcap6_EarlyMedieval_Alemanic_Langobardian
24.75207870 Salzmuende_MN:I0800:Lipson_2017
26.47868954 LBK_EN:I0047:Mathieson_2015
26.79765475 NIEcap12c_EarlyMedieval_Alemanic_Byzantine_22.74%
27.37722594 NIEcap3a_EarlyMedieval_Alemanic
27.62506471 LBK_EN:I2026:Lipson_2017
27.84691186 NIEcap12b_EarlyMedieval_Alemanic_Byzantin_8.99%
29.03410236 NIEcap1_EarlyMedieval_Alemanic
29.39643856 LBK_EN:I0022_LBK1976:Haak_2015
30.11188138 LBK_EN:I0022:Mathieson_2015
30.75923601 Remedello:RISE486:Allentoft_2015
30.91986417 NIEcap9_EarlyMedieval_Alemanic
32.38189154 LBK_EN:I0025:Mathieson_2015
32.53184286 LBK_EN:I0795:Mathieson_2015
33.75055407 LBK_EN:I0026_LBK2155:Haak_2015
33.81899171 LBK_EN:I2014:Lipson_2017
33.85974897 LBK_EN:I0018:Lipson_2017


Target: Torziok12b
Distance: 0.2161% / 0.21605239
37.7 LBK_EN
16.9 NIEcap12b_EarlyMedieval_Alemanic_Byzantin_8.99%
13.9 Yamnaya_Samara
9.6 NIEcap3b_EarlyMedieval_Alemanic_Byzantine
8.3 NIEcap1_EarlyMedieval_Alemanic
6.6 WHG_Loschbour
4.9 SI-44_Crusader_LB_Sidon
2.0 CHG
0.1 Remedello
 
A K9 model including Bell_Beaker_LN (K9 = WHG_Loschbour, CHG, LBK_EN, Bell_Beaker_LN, Salzmuende_MN, Remedello, Yamnaya _Samara, Iberomaurisian, SSA).

Dodecad K12b coordinates:
Code:
SSA:YRI30,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,100.00
Iberomaurusian:TAF009:Loosdrecht_2018,0,3.54,60.38,2.05,0,0,2.48,18.95,8.83,0,0,3.78
Iberomaurusian:TAF010:Loosdrecht_2018,0,0.55,63.9,3.27,0,0.17,1.39,18.7,5.98,0,0,6.05
Iberomaurusian:TAF011:Loosdrecht_2018,0,1.28,64.11,2.45,0,0.07,0.7,18.22,5.74,0.18,0,7.24
Iberomaurusian:TAF012:Loosdrecht_2018,0,1.79,63.81,0.8,0.44,0,3.27,16.18,5.76,0.59,0,7.35
Iberomaurusian:TAF013:Loosdrecht_2018,0,1.07,61.84,2.72,0,0.02,1.89,18.58,6.99,0,0,6.89
Iberomaurusian:TAF014:Loosdrecht_2018,0,0.74,62.76,2.95,0,0,2.12,18.14,5.34,0,0,7.95
Iberomaurusian:TAF015:Loosdrecht_2018,0,0,62.82,1.87,0,0.9,0,15.76,6.67,3.45,0,8.52
CHG:KK1_(Kotias):Jones_2015,38.72,0.69,0,0,0,6.95,0.02,0,0,0,51.67,1.95
CHG:SATP_(Satsurblia):Jones_2015,45.63,0.44,0,0,0,1.74,0.54,0,0,0,49.54,2.11
WHG_Loschbour,0,0,0,0,30.57,68.87,0,0,0,0.35,0,0.21
Remedello:RISE486:Allentoft_2015,0,0,0.97,2.12,59.48,10.97,0,0,9.02,0,15.53,1.91
Remedello:RISE487:Allentoft_2015,0,0,1.36,0,75.55,12.12,0,0,0.84,0,9.88,0.24
Remedello:RISE489:Allentoft_2015,0,0,0,0,72.08,12.24,0,0,5.69,0,9.99,0
LBK_EN:I0022_LBK1976:Haak_2015,0,0,0.54,0,49.81,5.69,0,1.53,13.7,0,28.73,0
LBK_EN:I0025_LBK1992:Haak_2015,0,0,5.76,0.41,53.66,0,0,0,12.97,0.73,25.12,1.36
LBK_EN:I0026_LBK2155:Haak_2015,0,0,4.6,0,49,0.97,0,0.31,10.77,0.84,33.32,0.2
LBK_EN:I0046_HAL5:Haak_2015,0,0,3.13,0,56.59,0.57,0,0,13.95,0,25.76,0
LBK_EN:I0048_HAL25:Haak_2015,0,0,0.16,0,53.59,2.6,0,1.45,9.17,0,33.03,0
LBK_EN:I0054_UWS4:Haak_2015,0,0,2.87,0,55.51,0.93,0,0.05,7.69,0,32.95,0
LBK_EN:I0056_HAL14:Haak_2015,0,0,0.59,0,53.9,2.15,0,0,14.39,1.01,27.96,0
LBK_EN:I0057_HAL34:Haak_2015,0,0,5.5,0,52.81,0,0,0.04,10.5,0,31.16,0
LBK_EN:I0100_HAL4:Haak_2015,0,0,2.41,0,56.52,0.36,0,0,12.44,0,28.28,0
LBK_EN:I0659_HAL2:Haak_2015,0,0,2.28,0.39,58.01,0,0,0,9.53,0,29.38,0.4
LBK_EN:I0795_KAR6:Haak_2015,0,0,2.81,0,45.63,0,0,0,14.89,0,36.3,0.37
LBK_EN:I0821_HAL24:Haak_2015,0,0,0,0,50.73,0,0,0,10.95,0,38.32,0
LBK_EN:I0018:Lipson_2017,0,0,4.51,0,54.23,1.93,0,0.2,10.96,0.25,27.69,0.21
LBK_EN:I0046:Lipson_2017,0,0,4.12,0,53.68,0,0,0,14.14,0,28.04,0.02
LBK_EN:I0048:Lipson_2017,0,0,0,0,51.25,0,0,0,13.03,0.68,35.04,0
LBK_EN:I0056:Lipson_2017,0,0,2.32,0,56.3,1.42,0,0,13.47,0,26.48,0
LBK_EN:I0057:Lipson_2017,0,0,4,0,51.94,0,0,0.08,13.26,0,30.44,0.28
LBK_EN:I0100:Lipson_2017,0,0,2.75,0,55.38,0.52,0,0,12.86,0,28.05,0.43
LBK_EN:I0659:Lipson_2017,0,0,1.42,0.34,56.97,0,0,0,12.14,0.03,29.08,0.01
LBK_EN:I0821:Lipson_2017,0,0,3.4,0,49.68,0,0,0,14.58,0,32.34,0
LBK_EN:I1550:Lipson_2017,0,0,5.12,0,53.75,0.27,0,0,11.34,0.28,29.2,0.04
LBK_EN:I2005:Lipson_2017,0,0,0,0,20.46,12.21,0,1.79,28.84,0,36.7,0
LBK_EN:I2008:Lipson_2017,0,0,2.63,0,56.44,0,0,0,16.79,0,24.14,0
LBK_EN:I2014:Lipson_2017,0,0,0,0,45.67,1.52,0,0.21,20.23,0,30.6,1.77
LBK_EN:I2016:Lipson_2017,0,1.18,8.9,0,51.46,0,0,0,8.18,0,30.28,0
LBK_EN:I2017:Lipson_2017,0,0,0,0,51.23,0,0,0,15.57,0,33.21,0
LBK_EN:I2020:Lipson_2017,0,0.19,6.24,0,60.21,0,0,0,18.63,0,14.72,0
LBK_EN:I2021:Lipson_2017,0,0,0,0,34.51,0,0,0.21,15.55,0,47.83,1.89
LBK_EN:I2022:Lipson_2017,0,0,0,0,44.69,0,0,0,34.92,0,20.39,0
LBK_EN:I2026:Lipson_2017,0,0,3.21,0,48.46,6.87,0,0,12.59,0,28.87,0
LBK_EN:I2029:Lipson_2017,0,0,1.65,0,53.28,0.13,0,0,15.2,0,29.75,0
LBK_EN:I2030:Lipson_2017,0,0,1.28,0,52.34,0,0,0,13.63,0,32.4,0.35
LBK_EN:I2032:Lipson_2017,0,0,2.43,0,50.18,0.83,0,0,13.75,0,32.81,0
LBK_EN:I2036:Lipson_2017,0,0,2.92,0,53.24,0,0,0,14.71,0.09,28.92,0.12
LBK_EN:I2037:Lipson_2017,0,0.67,7.44,0,51.05,0,0,0,13.62,0,27.22,0
LBK_EN:I2038:Lipson_2017,0,0,6.06,0,46.96,0,0,0,14.56,0,32.31,0.11
LBK_EN:I0022:Mathieson_2015,0,0,2.11,0,49.7,4.26,1.11,0.37,13.57,0.69,27.59,0.6
LBK_EN:I0025:Mathieson_2015,0,0,4.98,0.63,50.82,2.05,0,0,13.19,0.05,27.04,1.25
LBK_EN:I0026:Mathieson_2015,0,0,3.9,0,51.31,0,0,0.33,13.1,0.7,30.34,0.31
LBK_EN:I0046:Mathieson_2015,0,0,3.48,0,53.6,0.01,0,0,14.35,0,28.49,0.07
LBK_EN:I0047:Mathieson_2015,10.65,0,0,0,32.78,48.77,0,0.36,0,0,6.59,0.85
LBK_EN:I0048:Mathieson_2015,0,0,3.78,0,53.81,0,0,0.25,11.31,0,30.85,0
LBK_EN:I0054:Mathieson_2015,0,0,3.42,0.02,52.41,0.68,0,0.05,11.18,0.08,32.1,0.05
LBK_EN:I0056:Mathieson_2015,0,0,2.39,0,56.29,1.17,0,0,12.21,0,27.94,0
LBK_EN:I0057:Mathieson_2015,0,0,5.91,0,52.02,0,0,0,12.38,0,29.69,0
LBK_EN:I0100:Mathieson_2015,0,0,2.76,0,55.1,0.79,0,0,12.71,0,28.19,0.45
LBK_EN:I0659:Mathieson_2015,0,0,1.45,0.11,57.06,0,0,0,12.12,0.15,29.07,0.04
LBK_EN:I0795:Mathieson_2015,0,0,0,0,52.23,3.86,0,0,17.11,0,26.8,0
LBK_EN:I0797:Mathieson_2015,0,0.45,3.45,0,59.31,0,0,0.53,15.77,0,20.49,0
LBK_EN:I0821:Mathieson_2015,0,0,0,0,47.31,0,0,0,13.34,0,39.35,0
LBK_EN:I1550:Mathieson_2015,0,0,5.15,0,54.63,1.49,0,0,11.04,0.24,27.45,0
Yamnaya_Samara:I0231:Mathieson_2015,29.21,3.13,0,0,3.94,57.21,2.44,0,0,0,3.33,0.75
Yamnaya_Samara:I0357:Mathieson_2015,30.56,1.4,0,0,7.38,54.65,1.41,0,0,0,4.49,0.12
Yamnaya_Samara:I0370:Mathieson_2015,30.97,3.96,0,0,4.88,57.16,0.12,0,0,0,1.92,0.99
Yamnaya_Samara:I0429:Mathieson_2015,28.47,1.92,0,0,3.71,62.57,0.96,0.21,0,0,1.45,0.7
Yamnaya_Samara:I0438:Mathieson_2015,26.82,1.54,0,0.39,0.6,60.83,1.8,0,0,0,7.77,0.25
Yamnaya_Samara:I0439:Mathieson_2015,24.1,0.47,0,0.94,8.87,55.96,2.12,0,0,0,7.16,0.37
Yamnaya_Samara:I0441:Mathieson_2015,33.85,2.03,0,0.21,1.48,59.11,2.63,0,0,0,0,0.69
Yamnaya_Samara:I0443:Mathieson_2015,29.61,2.46,0,0,3.67,58.66,0.07,0,0,0,4.84,0.69
Yamnaya_Samara:I0444:Mathieson_2015,29.41,1.68,0,0,6.52,59.52,0.6,0.02,0,0,1.07,1.19
Salzmuende_MN:I0800:Lipson_2017,0,0,0,0,54.66,15.81,0,0,12.45,0,16.82,0.26
Salzmuende_MN:I0802:Lipson_2017,0,0,0,5.4,48.03,20.35,0,0,6.14,0,17.83,2.25
Bell_Beaker_LN:I0060:Mathieson_2015,15.27,0,0,0,31.48,41.81,1.02,0,0,0,9.03,1.4
Bell_Beaker_LN:I0108:Mathieson_2015,7.49,1.12,1.12,0,43.47,39.38,0.4,0,0.38,0.42,5.38,0.84
Bell_Beaker_LN:I0111:Mathieson_2015,9.74,0.15,1.55,0.31,38.48,39.9,0.89,0,0,0,8.79,0.19
Bell_Beaker_LN:I0112:Mathieson_2015,10.88,0.44,0,0,36.22,46.91,0.3,0.55,0,0,3.98,0.72
Bell_Beaker_LN:I0113:Mathieson_2015,7.82,0.92,0.79,0,40.86,38.66,0,0.29,4,0.52,6.14,0
Bell_Beaker_LN:I0805:Mathieson_2015,6.24,1.65,0,0,36.22,46,0,0,0,0,9.89,0
Bell_Beaker_LN:I0806:Mathieson_2015,9.19,1.42,0,0.3,29.39,47.9,0.35,0.41,0,0,11.05,0
Bell_Beaker_LN:I1546:Mathieson_2015,8.7,0,2.06,0.95,37.83,45.1,0,0,0,0,5.36,0
Bell_Beaker_LN:I1549:Mathieson_2015,14.03,1.08,0.02,0,33.55,46.77,0.69,1.09,0,0,2.32,0.44

TargetDistanceBell_Beaker_LNCHGIberomaurusianLBK_ENRemedelloSalzmuende_MNSSAWHG_LoschbourYamnaya_Samara
Portugal:portugal10.4432645833.20.06.227.818.70.00.06.57.6
Portugal:portugal20.7637154420.40.67.451.61.20.00.09.69.2
Portugal:portugal30.2137108133.00.05.344.90.03.30.08.94.6
Portugal:portugal61.0490656343.70.05.432.79.70.00.03.15.4
Portugal:portugal70.7401483529.20.16.146.89.00.00.02.76.1
Portugal:portugal91.5580042016.80.06.732.121.30.00.012.710.4
Portugal:portugal100.5726797316.40.03.353.70.00.00.015.910.7
Portugal:portugal110.2230353424.30.04.940.26.80.00.011.212.6
Portugal:portugal120.4367410217.90.03.860.80.00.00.212.94.4
Portugal:portugal130.5811364330.40.73.841.411.60.00.01.610.5
Andalucia_1000Genomes0.6844936124.39.24.413.746.20.00.00.02.2
Aragon_1000Genomes0.6620679513.50.02.012.456.00.00.00.016.1
Baleares_1000Genomes0.4618554232.91.10.835.423.00.00.01.45.4
Duarte0.1836044619.03.57.925.625.913.03.20.01.9
Canarias_1000Genomes0.8971913425.33.614.717.635.80.00.00.03.0
Cantabria_1000Genomes0.3687803433.91.62.011.246.80.00.00.04.5
Castilla_La_Mancha_1000Genomes0.5438978311.70.02.319.349.40.00.00.017.3
Castilla_Y_Leon_1000Genomes0.8613628430.50.54.921.435.20.00.00.07.5
Cataluna_1000Genomes0.4607863529.50.30.216.539.40.00.00.014.1
Extremadura_1000Genomes0.5627265629.62.55.819.732.90.00.00.09.5
Galicia_1000Genomes0.4381174737.20.04.424.824.20.60.03.75.1
Murcia_1000Genomes0.8547966822.00.84.333.029.20.00.00.610.1
Valencia_1000Genomes0.6314817520.12.91.59.354.60.00.00.011.6
French_Provence-Provance25080.3455612022.60.80.051.91.00.00.011.312.4
French_Provence-Provance27080.389192155.41.50.474.60.50.00.04.912.7
French_Provence-Provance41090.2663549442.20.60.032.47.52.00.05.89.5
French_Provence-Provance44090.1186877934.91.10.037.80.10.00.416.59.2
French_Provence-Provance45090.4629272223.30.40.047.59.50.00.010.09.3
Corsica:corsica13080.355951214.91.10.071.20.00.00.016.26.6
Corsica:Corsica037080.327526075.81.80.870.90.00.00.012.58.2
Corsica_o:corsica119080.3699987620.51.10.257.70.00.00.012.48.1
Corsica_o:Corsica147080.3251620513.12.80.067.10.00.00.012.84.2
Corsica:Corsica195080.391363822.20.00.369.60.00.00.016.411.5
Corsica:Corsica245080.3051456016.10.90.060.70.06.90.03.811.6
Corsica:corsica290080.179232343.44.00.078.50.00.00.07.56.6
Corsica:Corsica297080.3701368312.44.40.067.60.00.00.07.58.1
Corsica_o:CorsicaS007080.6750800425.60.00.049.87.00.00.014.03.6
Corsica:CorsicaS033080.2125704212.43.50.063.20.02.40.013.64.9
Corsica:CorsicaS042080.4171193715.07.60.058.50.00.00.016.62.3
Corsica:CorsicaS102080.5031143312.94.10.365.10.03.90.013.70.0
Corsica_o:CorsicaS133080.4335732155.36.80.313.18.50.00.016.00.0
Corsica:CorsicaS138081.072126170.03.92.060.40.06.20.926.60.0
Corsica:CorsicaS156080.239047493.30.80.473.10.00.04.315.03.1
Corsica:CorsicaS299080.636293005.110.70.461.10.00.00.022.20.5
Average0.5133824621.21.92.643.713.90.90.28.37.3
 
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Target: Torziok12b
Distance: 0.3374% / 0.33743849
52.5 LBK_EN
15.9 WHG_Loschbour
14.5 Bell_Beaker_LN
14.1 Yamnaya_Samara
3.0 CHG
 
Duarte: Thanks for the coordinates for the K9 model you ran. I used those for the source data and got the results below. Seem plausible. Jovialis K8 model is included below and I think the interesting result is the LBK_EN samples from Haak et al 2015, Mathieson et al 2015 are 90% or more Anatolian/EEF in terms of source ancestry. Using your K9 model for Minoans, who would be later in time for all the source populations, except perhaps the Yamnaya (concurrent), the Minoan samples from Lazaridis et al 2014 average about 95% LBK_EN, 4% CHG and 1% Iberomaurusian. So my take, nothing more, is that the LBK_EN in your model and the Minoan in Jovialis K8 model are capturing the same source ancestry with respect to Italian populations in the Central-South/Sicily regions. I know it is all fun but good job.

x5Mn1ZK.jpg




njbK0xR.jpg
 
Good model! Interestingly this model seems to not work very well with me :unsure:

Target: Dodecad_K12b_ΙωάννηςΓαβριήλEURO
Distance: 2.4275% / 2.42752023
35.3LBK_EN
28.2Bell_Beaker_LN
17.9Remedello
7.7WHG_Loschbour
6.8CHG
4.1Iberomaurusian
Jovialis model for comparison:
Target: Dodecad_K12b_ΙωάννηςΓαβριήλEURO
Distance: 0.9960% / 0.99603085
44.3C_Italian_ChL
14.0Nordic_BA
12.9Yamnaya
10.5Minoan
7.4Corded_Ware
6.2Remedello
3.8Iberomaurusian
0.9Bolshoy_Ostrov
 
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Just selected samples from the Epipaleolithic/Mesolithic to the Early Bronze Age to give me a good fit in the admixture mode.

Target: Duarte
Distance: 0.4872% / 0.48722363
45.5Scotland_CA_EBA:I5470:Olalde_2018
14.4Salzmuende_MN:I0802:Lipson_2017
8.9Anatolian_N:Bar31:Hofmanova_2016
8.9Remedello:RISE486:Allentoft_2015
8.4CHG:SATP_(Satsurblia):Jones_2015
5.9Iberomaurusian:TAF015:Loosdrecht_2018
5.7C_Italian_ChL:R1014:Antonio_2019
2.2Iberomaurusian:TAF014:Loosdrecht_2018
0.1Remedello:RISE487:Allentoft_2015

Target: Duarte
Distance: 0.4872% / 0.48722363
45.5Scotland_CA_EBA
14.4Salzmuende_MN
9.0Remedello
8.9Anatolian_N
8.4CHG
8.1Iberomaurusian
5.7C_Italian_ChL

PS: Going a bit further in time, now also including Iberian Bronze Age and Nordic Bronze Age.

Target: Duarte
Distance: 0.3718% / 0.37177761
40.1Scotland_CA_EBA:I5470:Olalde_2018
17.8Salzmuende_MN:I0802:Lipson_2017
11.9Anatolian_N:Bar31:Hofmanova_2016
7.5CHG:SATP_(Satsurblia):Jones_2015
7.2SE_Iberia_BA:I8571:Olalde_2019
5.9NE_Iberia_MLN:I10282:Olalde_2019
3.4Iberomaurusian:TAF011:Loosdrecht_2018
2.3Iberomaurusian:TAF014:Loosdrecht_2018
1.8Iberomaurusian:TAF015:Loosdrecht_2018
1.5Nordic_BA:RISE207:Allentoft_2015
0.3CHG:KK1_(Kotias):Jones_2015
0.3NE_Iberia_MLN:I10283:Olalde_2019
 
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I have two different results for this Dodecadk12b from Admixture Studio and GedMatch, is one better than the other? If it is which one is it?
 

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