aDNA (Dodecad K12b)

**Salento** · 09-06-22, 00:20

Originally Posted by torzio

yes I included the VK's
what do you mean by "hundreds of samples "

if you run all the English and the VKs together, you get about 700 samples. You can literally have a battle between the two :)

**Salento** · 09-06-22, 05:41

Originally Posted by Salento

... from Waldman 2022 "Genome-wide data from medieval German Jews show that the Ashkenazi founder event pre-dated the 14th century"

Code:

I13861_F_Germany_Medieval_cov-28pc,4.18,0,6.16,0,23.61,13.13,0,0,14.55,0,38.35,0.03
I13862_M_Germany_Medieval_cov-70pc,5.86,0.97,4.67,0.37,22.37,23.34,4.60,0,8.05,0.66,29.10,0
I13863_F_Germany_Medieval_cov-23pc,6.24,0,6.86,0.19,26.78,5.89,0,1.23,16.04,1.98,34.76,0
I13864_M_Germany_Medieval_cov-58pc,6.06,0,3.87,0,29.78,7.62,0.53,0.90,17.99,0,33.25,0
I13865_M_Germany_Medieval_cov-47pc,2.62,0,5.26,1.82,31.32,7.22,0,1.26,15.86,0,34.65,0
I13866_M_Germany_Medieval_cov-55pc,6.02,0.21,1.00,0.12,28.37,21.48,1.00,0,10.11,3.32,28.32,0.05
I13867_F_Germany_Medieval_cov-67pc,6.23,0.18,5.43,1.10,27.02,13.31,0,0.14,16.87,0,29.26,0.46
I13868_M_Germany_Medieval_cov-53pc,5.83,0,4.09,0.88,23.20,25.83,0.60,0,11.58,1.41,26.49,0.09
I13869_F_Germany_Medieval_Daughter_I14904_cov-52pc,2.29,0.48,4.50,2.05,23.43,21.05,0.02,0,13.74,2.21,30.23,0
I13870_M_Germany_Medieval_cov-31pc,5.00,0.82,3.92,0,24.11,7.75,0,2.18,17.83,0,38.37,0
I14736_F_Germany_Medieval_cov-59pc,6.17,0.31,4.84,0,24.04,15.21,0,0.97,16.30,0.78,30.93,0.45
I14737_F_Germany_Medieval_cov-34pc,3.34,0.93,6.32,0.35,22.33,9.78,0.26,1.19,15.63,0,39.87,0
I14738_F_Germany_Medieval_cov-71pc,7.77,1.22,2.54,0.12,24.19,23.00,0.87,0,10.90,1.74,27.65,0
I14739_F_Germany_Medieval_cov-28pc,3.57,0,7.50,2.10,28.76,5.14,0,1.21,13.56,0,38.16,0
I14740_F_Germany_Medieval_cov-72pc,4.36,3.08,2.19,0.28,21.98,27.33,0.27,1.31,9.50,0.82,28.58,0.29
I14741_F_Germany_Medieval_cov-11pc,0,0,8.29,2.26,25.27,11.06,0.18,0.96,13.98,0,38.01,0
I14846_M_Germany_Medieval_cov-5pc,10.90,0,0,0,31.45,5.37,0.73,0,17.01,0,34.54,0
I14847_M_Germany_Medieval_cov-73pc,6.59,0.76,3.27,1.48,24.18,22.83,1.05,1.20,8.66,0.47,29.43,0.08
I14850_F_Germany_Medieval_cov-49pc,6.63,0.37,2.93,0.29,24.83,22.06,1.12,1.24,9.52,0,30.72,0.29
I14851_F_Germany_Medieval_cov-39pc,8.42,1.09,4.84,0,26.01,7.79,0,0.60,15.11,1.12,35.01,0
I14853_M_Germany_Medieval_Son_I14850_cov-46pc,7.92,0.12,4.75,0.65,24.39,16.72,0.40,0,11.92,0.22,31.84,1.06
I14897_F_Germany_Medieval_cov-20pc,12.54,0,1.18,0,28.60,15.42,0,2.36,15.20,0,24.71,0
I14898_F_Germany_Medieval_Daughter_I14850_cov-10pc,3.25,0,0,0,28.56,19.30,0,0.43,10.82,0.26,34.34,3.03
I14903_F_Germany_Medieval_cov-52pc,8.18,0,5.68,0,29.37,4.88,1.97,0,10.34,0.10,39.48,0
I14904_M_Germany_Medieval_cov-60pc,3.64,1.27,3.64,1.94,27.80,21.98,2.90,0,8.56,0.70,27.34,0.22

I excluded low-coverage samples.

https://reich.hms.harvard.edu/sites/...05v1.full_.pdf

... data from: https://reich.hms.harvard.edu/

Medieval German Jews ... top ancients: ...

**Salento** · 09-06-22, 06:46

Derenburg LBKs ... "Population Genetics and Signatures of Selection in Early Neolithic European Farmers":

Code:

DER002_LBK_cov-63pc,0,0,2.85,0,53.21,0,0,0,12.87,0,30.73,0.33
DER003_LBK_cov-40pc,0,0,4.45,0.01,55.48,0,0,0,11.67,0,28.38,0
DER004_LBK_cov-17pc,0,0,2.24,0,51.70,0,0,0,13.43,0,32.63,0
DER005_LBK_cov-37pc,0,0,1.97,0,55.87,0,0,0.66,11.12,0,30.14,0.25
DER006_LBK_cov-39pc,0,0.32,2.41,0.06,55.13,0,0,0,12.27,0,29.75,0.05
DER007_LBK_cov-56pc,0,0,1.70,0,52.50,0,0,0,14.50,0,31.31,0
DER009_LBK_cov-66pc,0,3.54,0,0,51.57,0,0,0,11.03,0,33.86,0
DER010_LBK_cov-48pc,0,0,2.96,0,55.37,0,0,0,16.45,0,25.22,0
DER011_LBK_cov-36pc,0,0,5.59,0,51.28,0,0,0,12.66,0,30.47,0
DER012_LBK_cov-48pc,0,0,4.34,0,52.01,0,0,0,10.65,0,33.00,0
DER013_LBK_cov-60pc,0,0,0,4.12,48.10,0,0,0,13.56,0,34.22,0
DER014_LBK_cov-37pc,0,0,1.63,0.50,53.24,0.66,0,0,12.47,0,31.51,0
DER015_LBK_cov-45pc,0,0,2.03,0,56.11,0,0,0,8.82,0,32.95,0.08
DER017_LBK_cov-17pc,0,0,6.51,0.46,50.47,1.34,0,0,13.79,0,27.44,0
DER018_LBK_cov-36pc,0,0,4.00,0,51.41,0,0,0,13.60,0,30.98,0
DER019_LBK_cov-20pc,0,0,2.81,0,59.98,0,0,0,12.25,0,24.96,0
DER020_LBK_cov-9pc,0,0,3.05,0.65,48.23,3.92,0,0,12.28,0,31.58,0.29
DER021_LBK_cov-37pc,0,0,2.21,0,52.21,0,0,0,13.60,0,31.98,0
DER022_LBK_cov-53pc,0,0,6.86,0.28,50.46,0,0,0,9.61,0,32.80,0
DER023_LBK_cov-61pc,0,0.14,2.52,0,52.49,0,0,0.28,13.13,0,31.44,0
DER024_LBK_cov-49pc,0,0,3.06,0,54.31,0,0,0,13.12,0,29.31,0.21
DER026_LBK_cov-34pc,0,0.38,5.95,0,50.84,1.41,0,0,11.67,0,29.77,0
DER028_LBK_cov-60pc,0,0,2.36,0,55.21,0,0,0,14.12,0.53,27.55,0.23
DER029_LBK_cov-32pc,0,0,3.68,0,52.16,0,0,0,10.47,0,33.69,0
DER030_LBK_cov-24pc,0,0,1.83,0,50.22,2.69,0,0,14.90,0,30.07,0.29
DER031_LBK_cov-19pc,0,0,0.95,0,54.58,0,0,0,10.37,0,33.76,0.35
DER032_LBK_cov-55pc,0,0.15,2.52,0,53.69,0,0,0,15.29,0,28.35,0
DER033_LBK_cov-60pc,0,0,4.71,0,54.07,0,0,0,12.77,0,28.46,0
DER034_LBK_cov-48pc,0,0,2.02,0,51.81,0.61,0,0,15.23,0.42,29.91,0
DER035b_LBK_cov-34pc,0,0,4.36,0,52.08,0,0,0,14.19,0,29.37,0
DER036_LBK_cov-59pc,0,0.16,2.23,0,50.72,0,0,0,14.47,0,32.42,0
DER037_LBK_cov-13pc,0,0,4.22,0,55.91,0,0,0,6.33,0,33.55,0

... as of now, these ENA links have issues, ... alternative data location and format: https://edmond.mpdl.mpg.de/dataset.x...17617/3.HOKI5I

https://academic.oup.com/mbe/article...sac108/6586604

**kingjohn** · 09-06-22, 08:59

Originally Posted by Salento

Medieval German Jews ... top ancients: ...

Amazing work as usuall kudos to you

I hope someone will look at the the bam files
For y haplogroup branches:
personally wonder to which branch exactly the
I14847-e1b1b1b2 individual belong to ( e-y14891,
e-y6938,e-pf1975)

**Jovialis** · 09-06-22, 15:47

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

**kingjohn** · 09-06-22, 16:03

Originally Posted by Jovialis

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

great jovialis

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

**Salento** · 11-06-22, 16:50

... 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

**Salento** · 17-06-22, 03:27

Philip Calvert (born1626 England + 1682 Maryland Colony): Governor and Chancellor of Maryland

Code:

I2099_Philip_Calvert_MD_Colonial_Governor_StMarys_1682-AD,7.44,0,0,0,38.47,44.59,0,0.38,0,0.49,6.66,1.98

Reich 2016 https://www.hsmcdigshistory.org/wp-c...in-burials.pdf

**Salento** · 17-06-22, 04:25

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/...cal_Note_0.pdf

**kingjohn** · 17-06-22, 05:45

Originally Posted by Salento

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/...cal_Note_0.pdf

thanks for sharing interesting

a dark chapter in the history of the usa

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

**Salento** · 17-06-22, 06:26

Originally Posted by kingjohn

thanks for sharing interesting

a dark chapter in the history of the usa

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!

**Salento** · 17-06-22, 18:44

... 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

**Duarte** · 17-06-22, 20:18

Thank you Salento. Playing with the medieval and LBK coordinates produced by you on this site.

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

Distance to:	Duarte
5.35889369	59.60% Crusader_Pit:SI40:Haber_2019 + 40.40% Crusader_Pit:SI41:Haber_2019
6.50671381	83.20% Crusader_Pit:SI40:Haber_2019 + 16.80% I14853_M_Germany_Medieval_Son_I14850_cov-46pc
6.65968265	82.00% Crusader_Pit:SI40:Haber_2019 + 18.00% I14847_M_Germany_Medieval_cov-73pc
6.66178097	82.80% Crusader_Pit:SI40:Haber_2019 + 17.20% I13862_M_Germany_Medieval_cov-70pc
6.67379432	86.80% Crusader_Pit:SI40:Haber_2019 + 13.20% I14903_F_Germany_Medieval_cov-52pc
6.69331091	10.20% SI-45_Crusader_LB_Sidon + 89.80% Crusader_Pit:SI40:Haber_2019
6.70836868	23.00% NIEcap9_EarlyMedieval_Alemanic + 77.00% Crusader_Pit:SI41:Haber_2019
6.72425760	79.60% Crusader_Pit:SI40:Haber_2019 + 20.40% I14904_M_Germany_Medieval_cov-60pc
6.74088522	86.80% Crusader_Pit:SI40:Haber_2019 + 13.20% I14739_F_Germany_Medieval_cov-28pc
6.76128632	86.60% Crusader_Pit:SI40:Haber_2019 + 13.40% I13863_F_Germany_Medieval_cov-23pc
6.76707830	82.80% Crusader_Pit:SI40:Haber_2019 + 17.20% I14850_F_Germany_Medieval_cov-49pc
6.77324047	86.40% Crusader_Pit:SI40:Haber_2019 + 13.60% I14851_F_Germany_Medieval_cov-39pc
6.79971963	86.80% Crusader_Pit:SI40:Haber_2019 + 13.20% I14741_F_Germany_Medieval_cov-11pc
6.82155725	83.40% Crusader_Pit:SI40:Haber_2019 + 16.60% Crusader_Pit:SI53:Haber_2019
6.83891756	88.00% Crusader_Pit:SI40:Haber_2019 + 12.00% I14737_F_Germany_Medieval_cov-34pc
6.85034581	9.40% SI-42_Crusader_LB_Sidon + 90.60% Crusader_Pit:SI40:Haber_2019
6.86203378	24.40% NIEcap3a_EarlyMedieval_Alemanic + 75.60% Crusader_Pit:SI41:Haber_2019
6.87538713	85.00% Crusader_Pit:SI40:Haber_2019 + 15.00% I14736_F_Germany_Medieval_cov-59pc
6.87973461	87.00% Crusader_Pit:SI40:Haber_2019 + 13.00% I13861_F_Germany_Medieval_cov-28pc
6.89966252	84.20% Crusader_Pit:SI40:Haber_2019 + 15.80% I13867_F_Germany_Medieval_cov-67pc
6.94048478	9.60% QED-2_RomanEra_LB_Qornet-ed-Deir + 90.40% Crusader_Pit:SI40:Haber_2019
6.94295994	82.80% Crusader_Pit:SI40:Haber_2019 + 17.20% I14738_F_Germany_Medieval_cov-71pc
7.01362599	88.40% Crusader_Pit:SI40:Haber_2019 + 11.60% I13870_M_Germany_Medieval_cov-31pc
7.01399836	82.80% Crusader_Pit:SI40:Haber_2019 + 17.20% I14897_F_Germany_Medieval_cov-20pc
7.01694903	8.60% QED-7_RomanEra_LB_Qornet-ed-Deir + 91.40% Crusader_Pit:SI40:Haber_2019

Target: Duarte Distance: 4.8787% / 4.87865198
45.4	Crusader_Pit:SI41:Haber_2019

36.0	Crusader_Pit:SI40:Haber_2019

7.8	NIEcap3a_EarlyMedieval_Alemanic

6.2	NIEcap9_EarlyMedieval_Alemanic

4.6	DER037_LBK_cov-13pc

**Salento** · 18-06-22, 03:57

… thanks Duarte, … Protector of the Cross :)

**Salento** · 18-06-22, 05:48

… 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 …

**Duarte** · 27-06-22, 18:42

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

Target	Distance		CHG	Iberomaurusian	LBK_EN	Remedello	Salzmuende_MN	SSA	WHG_Loschbour	Yamnaya_Samara
Portugal:Portugal1	0.47966742	•	0.0	6.2	33.1	28.8	0.0	0.0	13.1	18.8
Portugal:Portugal2	0.76850146	•	0.1	7.6	54.7	7.1	0.0	0.0	15.0	15.5
Portugal:Portugal3	0.49837646	•	0.0	5.4	55.6	4.0	5.1	0.0	18.0	11.9
Portugal:Portugal6	1.25085601	•	0.0	6.2	33.6	23.7	0.0	0.0	19.1	17.4
Portugal:Portugal7	0.78836600	•	0.0	6.3	46.6	19.8	0.0	0.0	12.9	14.4
Portugal:Portugal9	1.55418834	•	0.0	7.1	31.8	27.7	0.0	0.0	15.8	17.6
Portugal:Portugal10	0.55620651	•	0.0	3.2	62.0	0.8	0.0	0.0	20.2	13.8
Portugal:Portugal11	0.27032131	•	0.0	5.0	43.9	11.4	3.0	0.0	14.9	21.8
Portugal:Portugal12	0.41787707	•	0.0	3.9	63.8	4.6	0.0	0.1	17.4	10.2
Portugal:Portugal13	0.67717194	•	0.0	4.3	43.6	21.2	0.0	0.0	10.9	20.0
Spain:Spain1	0.98604590	•	0.0	1.9	11.8	60.3	0.0	0.0	0.0	26.0
Spain:Spain2	0.46877494	•	0.0	0.5	24.9	42.8	0.0	0.0	15.6	16.2
Spain:Spain3	0.86286825	•	0.0	1.4	25.4	45.5	0.0	0.0	7.8	19.9
Spain:Spain4	0.42461581	•	1.9	0.0	30.2	42.2	0.0	0.0	8.8	16.9
Spain:Spain5	0.23542710	•	5.0	0.7	37.3	24.3	3.4	0.0	23.3	6.0
Spain:Spain6	0.84971947	•	0.6	1.7	32.3	37.7	0.0	0.0	11.7	16.0
Spain:Spain8	0.81446494	•	0.0	5.7	12.3	61.1	0.0	0.0	0.0	20.9
Spain:Spain9	0.08638065	•	2.4	1.1	29.0	51.2	2.0	0.3	0.0	14.0
Spain:Spain10	1.09295339	•	0.0	8.1	10.1	56.6	0.0	0.0	0.0	25.2
Spain:Spain11	0.41523926	•	0.0	0.2	36.3	36.9	6.3	0.1	2.4	17.8
Spain:Spain12	0.33708632	•	0.3	4.4	24.6	48.1	4.0	0.0	0.0	18.6
Spain:Spain13	1.22231338	•	0.0	4.4	15.5	51.9	0.0	0.0	3.2	25.0
Duarte	0.26180740	•	4.5	8.2	25.8	28.1	18.1	3.2	6.4	5.7
Canarias_1000Genomes	1.02572591	•	0.0	14.5	28.1	41.0	0.0	0.0	2.9	13.5
French_Provence-Provance2508	0.38135819	•	0.3	0.0	56.3	6.2	0.0	0.0	15.8	21.4
French_Provence-Provance2708	0.45198047	•	0.9	0.5	69.4	3.3	0.9	0.0	7.2	17.8
French_Provence-Provance4109	0.70309507	•	0.0	0.6	42.4	17.0	4.7	0.0	16.9	18.4
French_Provence-Provance4409	0.15236970	•	1.2	0.0	49.0	3.7	0.0	0.4	28.1	17.6
French_Provence-Provance4509	0.52763545	•	0.2	0.0	42.2	18.5	0.0	0.0	20.7	18.4
Corsica:Corsica03708	0.31590267	•	0.4	0.9	74.0	0.0	0.0	0.0	12.3	12.4
Corsica_o:corsica11908	0.42603709	•	0.3	0.4	65.9	0.6	0.0	0.0	18.1	14.7
Corsica_o:Corsica14708	0.35809091	•	1.1	0.1	72.9	0.0	0.0	0.0	15.6	10.3
Corsica:Corsica19508	0.39008671	•	0.0	0.1	70.9	0.0	0.0	0.0	16.6	12.4
Corsica:Corsica24508	0.28872952	•	0.0	0.0	65.4	0.9	6.9	0.0	8.9	17.9
Corsica:corsica29008	0.25008715	•	2.2	0.0	76.3	0.0	0.0	0.0	9.1	12.4
Corsica:Corsica29708	0.40519116	•	2.8	0.0	75.2	0.2	0.0	0.0	9.2	12.6
Corsica_o:CorsicaS00708	0.71076352	•	0.0	0.0	51.4	15.9	0.0	0.0	18.8	13.9
Corsica:CorsicaS03308	0.27878873	•	1.5	0.0	70.9	0.0	3.0	0.0	14.4	10.2
Corsica:CorsicaS04208	0.41303847	•	6.5	0.0	66.8	0.0	0.0	0.0	19.4	7.3
Corsica:CorsicaS10208	0.54200398	•	2.9	0.0	69.2	0.0	4.8	0.0	16.6	6.5
Corsica_o:CorsicaS13308	0.72270058	•	8.8	0.0	42.0	17.4	0.0	0.0	28.6	3.2
Corsica:CorsicaS13808	1.07224265	•	3.9	2.0	60.5	0.0	6.1	0.9	26.6	0.0
Corsica:CorsicaS15608	0.23574205	•	0.7	0.2	75.2	0.0	0.0	4.3	15.7	3.9
Corsica:CorsicaS29908	0.65863729	•	9.9	0.2	63.8	0.0	0.0	0.0	22.7	3.4
Average	0.58248720	•	1.3	2.6	47.1	19.6	1.6	0.2	13.2	14.5

**Salento** · 27-06-22, 20:53

@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

**Duarte** · 27-06-22, 22:39

Lol, lol. Thanks Salento.
The Loschbour I used is identified in Gedmatch with the ID F999918.

**torzio** · 27-06-22, 23:30

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

**Duarte** · 03-07-22, 22:42

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

Target	Distance		Bell_Beaker_LN	CHG	Iberomaurusian	LBK_EN	Remedello	Salzmuende_MN	SSA	WHG_Loschbour	Yamnaya_Samara
Portugal:Portugal1	0.44326458	•	33.2	0.0	6.2	27.8	18.7	0.0	0.0	6.5	7.6
Portugal:Portugal2	0.76371544	•	20.4	0.6	7.4	51.6	1.2	0.0	0.0	9.6	9.2
Portugal:Portugal3	0.21371081	•	33.0	0.0	5.3	44.9	0.0	3.3	0.0	8.9	4.6
Portugal:Portugal6	1.04906563	•	43.7	0.0	5.4	32.7	9.7	0.0	0.0	3.1	5.4
Portugal:Portugal7	0.74014835	•	29.2	0.1	6.1	46.8	9.0	0.0	0.0	2.7	6.1
Portugal:Portugal9	1.55800420	•	16.8	0.0	6.7	32.1	21.3	0.0	0.0	12.7	10.4
Portugal:Portugal10	0.57267973	•	16.4	0.0	3.3	53.7	0.0	0.0	0.0	15.9	10.7
Portugal:Portugal11	0.22303534	•	24.3	0.0	4.9	40.2	6.8	0.0	0.0	11.2	12.6
Portugal:Portugal12	0.43674102	•	17.9	0.0	3.8	60.8	0.0	0.0	0.2	12.9	4.4
Portugal:Portugal13	0.58113643	•	30.4	0.7	3.8	41.4	11.6	0.0	0.0	1.6	10.5
Andalucia_1000Genomes	0.68449361	•	24.3	9.2	4.4	13.7	46.2	0.0	0.0	0.0	2.2
Aragon_1000Genomes	0.66206795	•	13.5	0.0	2.0	12.4	56.0	0.0	0.0	0.0	16.1
Baleares_1000Genomes	0.46185542	•	32.9	1.1	0.8	35.4	23.0	0.0	0.0	1.4	5.4
Duarte	0.18360446	•	19.0	3.5	7.9	25.6	25.9	13.0	3.2	0.0	1.9
Canarias_1000Genomes	0.89719134	•	25.3	3.6	14.7	17.6	35.8	0.0	0.0	0.0	3.0
Cantabria_1000Genomes	0.36878034	•	33.9	1.6	2.0	11.2	46.8	0.0	0.0	0.0	4.5
Castilla_La_Mancha_1000Genomes	0.54389783	•	11.7	0.0	2.3	19.3	49.4	0.0	0.0	0.0	17.3
Castilla_Y_Leon_1000Genomes	0.86136284	•	30.5	0.5	4.9	21.4	35.2	0.0	0.0	0.0	7.5
Cataluna_1000Genomes	0.46078635	•	29.5	0.3	0.2	16.5	39.4	0.0	0.0	0.0	14.1
Extremadura_1000Genomes	0.56272656	•	29.6	2.5	5.8	19.7	32.9	0.0	0.0	0.0	9.5
Galicia_1000Genomes	0.43811747	•	37.2	0.0	4.4	24.8	24.2	0.6	0.0	3.7	5.1
Murcia_1000Genomes	0.85479668	•	22.0	0.8	4.3	33.0	29.2	0.0	0.0	0.6	10.1
Valencia_1000Genomes	0.63148175	•	20.1	2.9	1.5	9.3	54.6	0.0	0.0	0.0	11.6
French_Provence-Provance2508	0.34556120	•	22.6	0.8	0.0	51.9	1.0	0.0	0.0	11.3	12.4
French_Provence-Provance2708	0.38919215	•	5.4	1.5	0.4	74.6	0.5	0.0	0.0	4.9	12.7
French_Provence-Provance4109	0.26635494	•	42.2	0.6	0.0	32.4	7.5	2.0	0.0	5.8	9.5
French_Provence-Provance4409	0.11868779	•	34.9	1.1	0.0	37.8	0.1	0.0	0.4	16.5	9.2
French_Provence-Provance4509	0.46292722	•	23.3	0.4	0.0	47.5	9.5	0.0	0.0	10.0	9.3
Corsica:corsica1308	0.35595121	•	4.9	1.1	0.0	71.2	0.0	0.0	0.0	16.2	6.6
Corsica:Corsica03708	0.32752607	•	5.8	1.8	0.8	70.9	0.0	0.0	0.0	12.5	8.2
Corsica_o:corsica11908	0.36999876	•	20.5	1.1	0.2	57.7	0.0	0.0	0.0	12.4	8.1
Corsica_o:Corsica14708	0.32516205	•	13.1	2.8	0.0	67.1	0.0	0.0	0.0	12.8	4.2
Corsica:Corsica19508	0.39136382	•	2.2	0.0	0.3	69.6	0.0	0.0	0.0	16.4	11.5
Corsica:Corsica24508	0.30514560	•	16.1	0.9	0.0	60.7	0.0	6.9	0.0	3.8	11.6
Corsica:corsica29008	0.17923234	•	3.4	4.0	0.0	78.5	0.0	0.0	0.0	7.5	6.6
Corsica:Corsica29708	0.37013683	•	12.4	4.4	0.0	67.6	0.0	0.0	0.0	7.5	8.1
Corsica_o:CorsicaS00708	0.67508004	•	25.6	0.0	0.0	49.8	7.0	0.0	0.0	14.0	3.6
Corsica:CorsicaS03308	0.21257042	•	12.4	3.5	0.0	63.2	0.0	2.4	0.0	13.6	4.9
Corsica:CorsicaS04208	0.41711937	•	15.0	7.6	0.0	58.5	0.0	0.0	0.0	16.6	2.3
Corsica:CorsicaS10208	0.50311433	•	12.9	4.1	0.3	65.1	0.0	3.9	0.0	13.7	0.0
Corsica_o:CorsicaS13308	0.43357321	•	55.3	6.8	0.3	13.1	8.5	0.0	0.0	16.0	0.0
Corsica:CorsicaS13808	1.07212617	•	0.0	3.9	2.0	60.4	0.0	6.2	0.9	26.6	0.0
Corsica:CorsicaS15608	0.23904749	•	3.3	0.8	0.4	73.1	0.0	0.0	4.3	15.0	3.1
Corsica:CorsicaS29908	0.63629300	•	5.1	10.7	0.4	61.1	0.0	0.0	0.0	22.2	0.5
Average	0.51338246	•	21.2	1.9	2.6	43.7	13.9	0.9	0.2	8.3	7.3

**torzio** · 04-07-22, 01:20

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

**Palermo Trapani** · 04-07-22, 02:58

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.

**Ιωάννης Γαβριήλ** · 08-07-22, 01:04

Good model! Interestingly this model seems to not work very well with me

Target: Dodecad_K12b_ΙωάννηςΓαβριήλEURO Distance: 2.4275% / 2.42752023
35.3	LBK_EN

28.2	Bell_Beaker_LN

17.9	Remedello

7.7	WHG_Loschbour

6.8	CHG

4.1	Iberomaurusian

Jovialis model for comparison:

Target: Dodecad_K12b_ΙωάννηςΓαβριήλEURO Distance: 0.9960% / 0.99603085
44.3	C_Italian_ChL

14.0	Nordic_BA

12.9	Yamnaya

10.5	Minoan

7.4	Corded_Ware

6.2	Remedello

3.8	Iberomaurusian

0.9	Bolshoy_Ostrov

**Duarte** · 09-07-22, 16:51

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
45.5	Scotland_CA_EBA:I5470:Olalde_2018

14.4	Salzmuende_MN:I0802:Lipson_2017

8.9	Anatolian_N:Bar31:Hofmanova_2016

8.9	Remedello:RISE486:Allentoft_2015

8.4	CHG:SATP_(Satsurblia):Jones_2015

5.9	Iberomaurusian:TAF015:Loosdrecht_2018

5.7	C_Italian_ChL:R1014:Antonio_2019

2.2	Iberomaurusian:TAF014:Loosdrecht_2018

0.1	Remedello:RISE487:Allentoft_2015

Target: Duarte Distance: 0.4872% / 0.48722363
45.5	Scotland_CA_EBA

14.4	Salzmuende_MN

9.0	Remedello

8.9	Anatolian_N

8.4	CHG

8.1	Iberomaurusian

5.7	C_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
40.1	Scotland_CA_EBA:I5470:Olalde_2018

17.8	Salzmuende_MN:I0802:Lipson_2017

11.9	Anatolian_N:Bar31:Hofmanova_2016

7.5	CHG:SATP_(Satsurblia):Jones_2015

7.2	SE_Iberia_BA:I8571:Olalde_2019

5.9	NE_Iberia_MLN:I10282:Olalde_2019

3.4	Iberomaurusian:TAF011:Loosdrecht_2018

2.3	Iberomaurusian:TAF014:Loosdrecht_2018

1.8	Iberomaurusian:TAF015:Loosdrecht_2018

1.5	Nordic_BA:RISE207:Allentoft_2015

0.3	CHG:KK1_(Kotias):Jones_2015

0.3	NE_Iberia_MLN:I10283:Olalde_2019

**Ιωάννης Γαβριήλ** · 10-07-22, 05:01

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?

Thread: aDNA (Dodecad K12b)

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