(1,315 aDNA samples) Vahaduo 3D PCA Dodecad Global 13

Jovialis

Advisor
Messages
9,324
Reaction score
5,917
Points
113
Ethnic group
Italian
Y-DNA haplogroup
R-PF7566 (R-Y227216)
mtDNA haplogroup
H6a1b7
8BeAID1.png


Download txt. file for the coordinates.

Paste them here in the Source tab: https://vahaduo.github.io/custompca/

I am going to organize them into individual groups. For now, here are all of the samples grouped into one. This should be useful for analyzing individual samples among the whole set.
 
Last edited:
At the moment I can only work out the distance, not the combinations, nor the PCA

123766043_691070048189661_6756877243636760624_n.png
 
These coordinates are really only meant to be used with this website for now: https://vahaduo.github.io/custompca/

I am unaware of where there is a Global 13 calculator other than Admixture Studio. Once I sort the samples into individual groupings, I can submit it to them to create an Ancient Calculator.
 
Here are the modern coordinates taken from the Dodecad Global 13 spreadsheet:

https://docs.google.com/spreadsheets/d/1lps42RGFjkjt-iedVYPXeaQ5RPFJIbJiJmurkJTqUEs/edit#gid=2

Code:
Armenian_D,0,0,0,0,20.6,0,29.2,0.3,0.1,48.5,1.1,0.2,0
Ashkenazi_D,0.5,0,0,0,20.6,0.7,37.8,0.2,0.2,22.4,16.7,0,0.9
Russian_D,2.6,0.2,0,0,5.9,0.3,15,0.2,0.6,4.6,70.5,0,0
Turkish_D,3.6,0,0,0,16.2,1.7,28.5,0.4,0.4,40.1,8.3,0.7,0
Indian_D,1,0.8,0,0,0.4,0.6,1,0.3,0.2,34.1,5.8,55.7,0
Polish_D,0.1,0,0,0,5.6,0,20.1,0.1,0.4,5.3,68.4,0,0
Spanish_D,0,0,0.9,0.1,5.6,0,50.4,0,0,5.1,36.8,0.4,0.6
German_D,0,0,0,0,3.6,0,29.7,0.1,0,7.3,59.2,0,0
Irish_D,0,0.4,0,0,0,0,33.7,0,0,6.2,59.1,0.6,0
Greek_D,0.1,0,0,0,15.1,0.1,37.7,0,0,22.9,24.2,0,0
Finnish_D,5.6,0,0,0,4.8,0.1,9.8,0,1.2,0,78.4,0,0
Kurd_D,0.7,0.8,0,0,18.2,0.2,20.9,0.3,0.1,49.6,4.7,4.2,0.3
Mixed_Slav_D,1.9,0.1,0,0,5.7,1,16.4,0,0,5.9,69.1,0,0
Sicilian_D,0,0,1,0.2,17.3,0.1,40.6,0.2,0,23.6,16.5,0,0.5
French_D,0,0,0,0,4.1,0,40.5,0,0.2,7.4,47.1,0.7,0
Assyrian_D,0,0,0,0,24.9,0.2,26.8,0.3,0.2,46.6,0,0.9,0
Swedish_D,0.3,0,0,0,1.9,0,26.1,0,0.9,4.2,66.4,0.2,0
African_American_D,0,0.3,75.4,2.1,0.5,0,7,0,0.3,2.1,10.3,0.3,1.6
C_Italian_D,0,0,0.2,0,14.3,0,42.7,0.1,0,20.5,22.2,0,0
British_D,0,0.1,0,0,0.5,0,34.8,0.3,0.2,5.7,57.8,0.7,0
English_D,0,0,0,0,0.3,0,35.8,0.1,0,6.5,56.8,0.5,0
Portuguese_D,0,0.1,1.3,0,7.9,0,46.9,0.1,0,6,35,1,1.6
Lithuanian_D,0.2,0.2,0,0,5.2,0,14.4,0.1,0,3.2,76.6,0.1,0
Norwegian_D,0.6,0,0,0,0.4,0,28.9,0.2,0.7,4,65.2,0,0
S_Italian_Sicilian_D,0,0,0.3,0.1,17.6,0,40.4,0.3,0.2,23.7,16.5,0,0.8
Somali_D,0,0,1.3,0,34.3,0,2.3,0,0,0,0,0,62.1
Iranian_D,1.9,0.2,0,0,16.9,0.5,19.2,0.2,0.9,48.4,5.3,6.3,0.4
Mixed_Germanic_D,0,0,0,0,1.9,0,33.4,0.2,0,8.1,56,0.4,0
Chinese_D,17.9,0,0,0,0,82.1,0,0,0,0,0,0,0
Dutch_D,0,0,0,0,2.3,0,33.3,0,0,7.8,56,0.8,0
British_Isles_D,0,0,0,0,0,0,34.8,0.1,0.2,6,58.2,0.7,0
Bulgarian_D,0.8,0,0,0,11.1,0.6,31.1,0.1,0.2,17.5,38.8,0,0
Iyer_D,0.2,0.7,0,0,0.8,0.3,1.2,0.5,0.2,31.6,7.6,56.9,0
Brazilian_D,0,3.8,3.5,0.2,6.1,0,43.9,0.2,0,4.6,35.6,0.8,1.4
Iyengar_D,0.7,0.7,0,0,0.9,0.3,0,0.3,0.8,32.7,8,55.5,0
Korean_D,27.8,0,0,0,0,72.2,0,0,0,0,0,0,0
Serb_D,0,0,0,0,9.2,0.1,31.2,0,0,15,44.4,0,0
Ukrainian_D,0.7,0,0,0,6.6,0.6,20.9,0,0.5,7.8,62.9,0,0
O_Italian_D,0,0.1,0.7,0,10.6,0,39.8,0.3,0,18.4,30.3,0,0
N_Italian_D,0,0,0,0,9,0,42.5,0.1,0,14.4,34,0,0
Moroccan_D,0,0,9.3,0,29.7,0,43.8,0,0,0,6.5,1.1,9.5
Jatt_D,0.2,1.7,0,0,0.5,0,2.3,0,0.5,39.3,18.4,37.2,0
Algerian_D,0,0.2,11.9,0,31,0,37.6,0,0,3.2,5.8,1.3,9
Turkish_Cypriot_D,0.5,0,1.4,0.2,21.8,1.2,33.7,0.2,0.5,34,5.2,0,1.2
Austrian_D,0.5,0,0,0,5.7,0,30.6,0.2,0,8.6,54.1,0.3,0
Georgian_D,0.2,0,0,0,13.2,0.5,25.3,0,0.4,57.3,2.9,0,0
Adygei,3.2,0.3,0,0,7.7,1.3,21.8,0.3,0.8,49.3,15.2,0.1,0
Balochi,0,0.6,0.2,0,8.1,0,2.9,0,0.6,55.8,7.5,23.9,0.4
Bantu_N.E.,0,0,74.8,3.7,0.7,0,0,0,0,0,0,0,20.8
Bantu_S.E._Pedi,0,0,73.7,26.2,0,0,0,0,0,0,0,0,0
Bantu_S.E._S.Sotho,0,0,75.6,24.4,0,0,0,0,0,0,0,0,0
Bantu_S.E._Tswana,0,0,70.2,28.9,0,0,0,0,0,0,0,0,0.9
Bantu_S.E._Zulu,0,0,81.3,17.3,0,0,0,0,0,0,0,0,1.5
Bantu_S.W._Herero,0,0,91,9,0,0,0,0,0,0,0,0,0
Bantu_S.W._Ovambo,0,0,90.9,5.6,0,0,0,0,0,0,0,0,3.5
Bedouin,0,0,2.9,0,48.5,0,20,0.1,0,20.9,2.7,0.1,4.8
Biaka_Pygmies,0,0,67.8,32.2,0,0,0,0,0,0,0,0,0
Brahui,0,0.6,0.1,0.1,9,0,2,0.2,0,56.5,7.1,23.8,0.8
Burusho,5,1.7,0,0,0.5,5,1,0.2,1.1,41.3,12.6,31.7,0
Cambodians,0,0,0,0,0.3,81.1,0,2.3,0.2,0.2,1.3,14.5,0
Colombians,0,100,0,0,0,0,0,0,0,0,0,0,0
Dai,0,0,0,0,0,96.9,0,0.8,0.2,0,0,2.1,0
Daur,48.3,0.2,0,0,0,48.7,0.3,0.1,0.9,1.4,0.2,0,0
Druze,0,0,0.5,0,30,0.1,30.4,0.4,0,36.7,0.6,0,1.2
French,0,0.1,0,0,3.5,0,40.1,0,0,8.2,47.6,0.4,0
French_Basque,0,0.1,0,0,0,0,59.5,0,0,0.2,39,1.1,0
Han,11.2,0,0,0,0,88.8,0,0,0,0,0,0,0
Hazara,25.3,1.4,0,0,3.1,20.5,4.8,0.2,0.7,23.4,10.8,9.7,0
Hezhen,42.9,0.2,0,0,0,54.2,0,0,2.7,0,0,0,0
Japanese,29.6,0,0,0,0,70.4,0,0,0,0,0,0,0
Kalash,0.1,1.4,0,0,0,0,0,0.1,1.7,56.5,14.8,25.5,0
Karitiana,0,100,0,0,0,0,0,0,0,0,0,0,0
Lahu,5.3,0,0,0,0,89.5,0,1.1,0,0,0,4.1,0
Makrani,0,0.3,3.8,0,10.2,0,3.2,0,0,55.5,5.3,20.7,1
Mandenka,0,0,95,0.1,1.5,0,0.4,0.2,0,0,0,0,2.9
Maya,0.2,96.9,0,0,0,0,2.1,0,0,0,0.8,0,0
Mbuti_Pygmies,0,0,44,47.5,0,0,0,0,0,0,0,0,8.4
Miaozu,11.4,0,0,0,0,88.6,0,0,0,0,0,0,0
Mongola,35,0.5,0,0,0,59.1,1,0,0.2,2.3,2,0,0
Mozabite,0.3,0,14.1,0,31.1,0,43.6,0,0.2,0,0,1.5,9.1
NAN_Melanesian,0,0,0,0,0,22.3,0,77.6,0,0,0,0,0
Naxi,23.2,0,0,0,0,74.1,0,0.6,0,0,0,2.1,0
North_Italian,0,0,0,0,9,0,46.6,0,0,13,31.4,0,0
Orcadian,0,0.4,0,0,0,0,33.9,0.1,0,6.2,58.8,0.6,0
Oroqen,56.6,0,0,0,0,39.9,0.2,0,3.3,0,0,0,0
Palestinian,0,0,2.7,0.1,36.4,0,25.6,0.1,0,29.2,0.7,0.6,4.5
Papuan,0,0,0,0,0,0,0,100,0,0,0,0,0
Pathan,1.7,1.4,0,0,3.5,0,3.3,0,0.6,44.2,14.5,30.8,0
Pima,0.8,96.9,0,0,0,0,0,0,2.4,0,0,0,0
Russian,6.7,0.5,0,0,4.6,0,12.9,0,1.5,4.9,68.5,0.4,0
San,0,0,0,100,0,0,0,0,0,0,0,0,0
Sardinian,0,0,0,0.1,8.7,0,71,0,0,4.1,16.1,0,0
She,9.5,0,0,0,0,90.4,0,0,0,0,0,0,0
Sindhi,0.2,0.9,0,0,3.1,0,1.6,0,0.6,44.8,9.1,39.7,0
Surui,0,100,0,0,0,0,0,0,0,0,0,0,0
Tu,26.6,0.7,0,0,0.3,65.7,0.9,0,0,3.1,0.8,1.8,0
Tujia,14.8,0,0,0,0,85.2,0,0,0,0,0,0,0
Tuscan,0,0,0,0,11,0.1,44.1,0,0,18.3,26.5,0,0
Uygur,21.7,1.7,0,0,2.9,25.1,5.2,0.1,1.6,20.7,13.9,7.1,0
Xibo,37.5,0.4,0,0,0,58.4,0.9,0,0.2,2,0.7,0,0
Yakut,81.3,1,0,0,0,9.4,1,0,0.2,2.7,4.2,0.2,0
Yizu,21.6,0,0,0,0,75.5,0,0.9,0,0,0,1.9,0
Yoruba,0,0,99.9,0.1,0,0,0,0,0,0,0,0,0
ASW30,0,0.4,81.4,1.9,0.4,0,5.6,0,0.1,0.7,7.9,0.3,1.3
CEU30,0,0,0,0,1,0,34.2,0,0.4,6.8,56.7,0.9,0
CHB30,18,0,0,0,0,82,0,0,0,0,0,0,0
CHD30,13.2,0,0,0,0,86.8,0,0,0,0,0,0,0
GIH30,0.6,1,0,0,0,0,0,0.1,0.1,33.3,3.7,61.2,0
JPT30,29.9,0,0,0,0,70.1,0,0,0,0,0,0,0
LWK30,0,0,73.4,3.8,1.4,0,0,0,0,0,0,0,21.3
MEX30,0.1,45.8,3.3,0.1,4,0.6,24,0.3,1.7,4.4,14.5,0.4,0.8
MKK30,0,0,26.4,2.8,16.4,0,0.5,0,0,0,0,0,53.9
TSI30,0,0,0,0,11,0,44.1,0.1,0,17.7,27.2,0,0
YRI30,0,0,100,0,0,0,0,0,0,0,0,0,0
Armenians,0,0,0,0,18.5,0,29.1,0.2,0.1,50.6,1.5,0,0
Ashkenazy_Jews,0.9,0.1,0,0,20.4,0.6,37.5,0.3,0.2,23.1,16,0,1
Azerbaijan_Jews,0.1,0.4,0,0,23.9,0,27.1,0,0,46.9,0,1.4,0.1
Belorussian,0.7,0,0,0,5.9,0.4,17.1,0.1,0.1,4.1,71.6,0,0
Bnei_Menashe_Jews,0,0,0.3,0,10.3,0,11.8,0.7,1.3,33.5,0.9,40.9,0.3
Chuvashs,18.9,0.2,0,0,3.9,1.2,8,0,3.6,8.6,54.9,0.7,0
Cochin_Jews,0.7,0.3,0,0,6.6,2.1,4.7,0.4,0.4,30.7,3.2,50.9,0
Cypriots,0,0,0,0,23.9,0,36.6,0.4,0,33.6,5.1,0,0.4
Egyptans,0,0,6.5,0,38.1,0.1,24.3,0.1,0,19.4,0,0,11.4
Ethiopian_Jews,0,0,0.2,1.1,39.2,0,6.5,0,0.1,1.5,0,0,51.4
Ethiopians,0,0,1,1.2,39.6,0,5,0,0,1.6,0,0,51.6
Georgia_Jews,0,0.1,0,0,24.8,0.5,26,0.1,0,46.5,1.8,0.2,0
Georgians,0,0,0,0,10.6,0.4,27.4,0,0,60.4,1.1,0,0
Hungarians,0.8,0.2,0,0,6.2,0.1,28.1,0,0.1,9.7,54.9,0,0
Iranian_Jews,0.2,0,0,0,28.7,0.5,23.2,0.1,0,45.1,0,1.7,0.4
Iranians,0.6,0.4,0.7,0.1,18.7,0.4,17.8,0.2,0.4,48.1,4.5,7.6,0.4
Iraq_Jews,0,0,0,0,30.4,0,24.6,0.2,0,43.5,0,1.1,0.2
Jordanians,0,0,2.3,0,33.7,0.4,26,0.3,0.2,30.4,1,0.5,5.2
Lebanese,1.5,0.4,1.4,0.6,26.5,0.8,27.4,0.5,0,33,4.9,1,1.9
Lezgins,0.8,1.1,0,0,7.3,0,15.8,0.1,0.8,52.3,20.2,1.6,0
Lithuanians,0,0,0,0,4.7,0,13,0,0,1.6,80.7,0,0
MALAYAN,1.7,0.4,0,0,0.5,6,0.9,3.3,0.7,7,0,79.6,0
Moroccans,0.2,0.3,14,0,33.7,0,39.3,0,0,0,2.3,0.9,9.3
Morocco_Jews,0,0.1,1.6,0,24,0,40.8,0.1,0,22.1,8.9,0.4,1.9
North_Kannadi,1.1,0.8,0,0,0,1.7,0,1.2,0.5,16.3,0.8,77.6,0
PANIYA,0.1,0,0.5,1,0,69.8,0,13.6,0.1,0,0.9,14,0
Romanians,0.6,0.1,0,0,10.4,0.5,31.1,0.3,0.1,15.7,40.4,0.7,0
Russian_B,3,0.4,0,0,4.4,0.9,15.5,0.6,0.4,5.4,69.3,0.1,0
SAKILLI,0,0.1,0,0,0.1,2.8,0,1.3,0,21.1,0,74.5,0
Saudis,0,0.1,0.9,0.5,65,0,9.4,0.2,0,18.3,2.1,0.7,2.8
Sephardic_Jews,0.2,0,0.7,0,23.2,0,40.2,0.2,0,24.9,9.2,0.1,1.4
Spaniards,0,0,0.5,0,5.3,0,48.9,0.1,0.1,7.1,37.1,0.2,0.7
Syrians,0.2,0,2.6,0.1,32,0,25.4,0,0.2,32.3,2.6,1.6,2.9
Turks,4.6,0.3,0,0,16.2,2,26.7,0.1,0.9,39.7,8,1.5,0
Uzbekistan_Jews,0.3,0.5,0,0,24.4,0.3,22.7,0.5,0.2,44.7,3.5,2.6,0.3
Uzbeks,23.2,1.2,0,0,4.5,14.9,7.8,0,1.4,23.7,16.3,7.1,0
Yemen_Jews,0,0,0,0,57.3,0,17.2,0.2,0,20.5,0,0,4.8
Yemenese,0,0.1,8.8,0.7,40.8,0,14.4,0.4,0.9,22.1,0.8,3,7.9
Selkup,47.9,2.1,0,0,0,0,0,0,9.4,4.1,35,1.6,0
Ket,56.8,3.6,0,0,0,0,0,0,8.8,2.4,27.7,0.7,0
Altai,48,2.2,0,0,0,19.9,1.8,0,4.1,9.2,13.2,1.7,0
Evenk,84.8,0.2,0,0,0,6.1,0,0,2.7,2,4.1,0.1,0
Tuva,57.6,1,0,0,0.3,21.8,0.8,0.3,4.1,4.9,8.8,0.4,0
EastGreenland,0,0,0,0,0,0,0,0,100,0,0,0,0
WestGreenland,0,2,0,0,0.2,0,12.9,0,62.7,0,22.3,0,0
Aleut,6.6,4.6,0,0,4,1.3,11.8,0,16.6,3.6,51.2,0.2,0
Yukagir,75.7,0,0,0,0.4,5,1,0,7.8,1.2,8.8,0,0
Nganassan,88.5,0,0,0,0,0,0,0,8,0,3.5,0,0
Dolgan,75.5,0,0,0,1,4.5,1.8,0,2,1,13.1,1,0
Buryat,60,0.6,0,0,0.3,24.2,1.3,0.3,2.8,4.2,5,1.1,0
Koryak,49.5,0,0,0,0,0.2,0,0,50.3,0,0,0,0
Mongol,48.5,1.4,0,0,0,28.6,3,0.2,2.6,6.7,8.4,0.7,0
Chukchi,26,0,0,0,0,0,0,0,74,0,0,0,0
AthabaskHD4,0,23.8,0,0,0,1.5,20.9,0.4,11.5,5,37,0,0
Athabask,0.2,58.7,0,0,0,1.3,0,0,35.5,0.3,4.2,0,0
Hadza_He,0,0,22,19.7,3.1,0.6,0,0.3,0,2.8,0,0.6,50.9
Sandawe_He,0,0,27.9,13.9,13.4,0,1.3,0,0,0,0,0,43.6
San_He,0,0,4.4,93.1,1.7,0,0,0,0,0,0,0,0.7
CHS30,10.1,0,0,0,0,89.9,0,0,0,0,0,0,0
INS30,1,0.6,0,0,0.6,0.6,0.2,0.7,0.3,30.2,2.9,63,0
MAS30,0,0,0,0,0,81.1,0,4.7,0.4,0.9,1.1,11.8,0
Colombian,0,35.9,6.6,0.3,4.2,0,28.9,0.1,0.3,4,19.3,0.1,0.3
Dominican,0,7.2,40.8,0.9,4.6,0,24.4,0,0,3.1,17.1,0.4,1.4
Ecuadorian,0,51.8,4.4,0,3.9,0,21.5,0.2,0.6,2.8,13.6,0.4,0.8
Puerto_Rican,0.1,16.1,18.5,0.5,6.4,0,31.9,0,0,3.8,21.1,0.4,1.1
FIN30,6.5,0,0,0,4.7,0,10.2,0,0.7,0,77.9,0,0
CLM30,0,27.7,5.6,0.1,5,0,33.5,0,0,4.5,22.8,0.3,0.5
PUR30,0,13.7,11.4,0.3,6.1,0,37.5,0,0.1,5.3,24,0.3,1.4
CDX30,0,0,0,0,0,97.2,0,0.8,0.2,0,0,1.8,0
KHV30,1.6,0,0,0,0,93.3,0,1.2,0.5,0,0,3.5,0
ACB30,0,0,88.4,1.5,0.3,0,3.3,0,0,1,4.9,0,0.7
PEL30,0,81.8,0.1,0,1.4,0,10.2,0,0,1.5,5,0,0
Orkney_1KG,0,0.3,0,0,0,0,33.4,0,0,5.8,59.8,0.7,0
Kent_1KG,0,0,0,0,0.8,0,35.2,0.1,0,6.5,57,0.4,0
Cornwall_1KG,0,0.1,0,0,0.1,0,36.5,0,0,7.1,55.8,0.5,0
Argyll_1KG,0,0.2,0,0,0,0,32.6,0,0.7,7.4,58.4,0.6,0
Canarias_1KG,0.3,0.2,1.6,0.1,9,0.4,48.6,0.1,0,5.9,29.6,0.5,3.6
Galicia_1KG,0,0,0.8,0,7.7,0,47.1,0,0,5.5,36.2,1.3,1.5
Aragon_1KG,0.3,0,0,0,4.4,0,52.6,0.2,0,4.7,36.4,1,0.4
Valencia_1KG,0,0,0.6,0,3.9,0,51,0.1,0.2,6,36.7,1.1,0.5
Andalucia_1KG,0.2,0.3,0.9,0.3,5.7,0,51.9,0.3,0,7.7,32.1,0,0.7
Murcia_1KG,0,0,0.8,0,8.3,0.1,49.1,0.1,0.2,6.8,33.1,0.3,1.2
Baleares_1KG,0,0,0.6,0.1,6.2,0,48.2,0,0.6,8.6,35.1,0.5,0
Cataluna_1KG,0,0,0.3,0,4.9,0,48.2,0,0,5.8,39.9,1,0
Pais_Vasco_1KG,0,0.3,0,0,0,0,56.1,0,0,1.5,41,1.1,0
Cantabria_1KG,0,0.6,0.2,0,4.4,0,51.1,0.2,0,5,37,0.5,0.9
Extremadura_1KG,0,0,1.2,0,6.6,0,47.8,0.1,0.4,6.5,35,1,1.2
Castilla_La_Mancha_1KG,0,0.1,0.2,0,5.4,0,50.1,0.2,0.3,6,35.8,0.8,1.1
Castilla_Y_Leon_1KG,0,0,0.7,0,7.1,0,49.6,0.1,0,5.1,35.4,1.1,1
Kurds_Y,0.4,0.6,0,0.1,18.9,0.2,20.3,0.3,0,49.1,5.8,4.2,0
Bulgarians_Y,0.6,0,0,0,10.6,0.2,32.3,0.1,0.4,17.3,38.5,0,0
Ukranians_Y,0.7,0,0,0,7.1,0.2,18.9,0,0.3,7.3,65.5,0,0
Mordovians_Y,5.3,0,0,0,4.4,0.9,13,0,1.4,7.4,67.3,0.3,0
Armenians_15_Y,0,0,0,0,20.6,0,27.8,0.4,0.3,49,1,0.9,0
Abhkasians_Y,0.9,0,0,0,9.7,0.8,25.2,0.1,0.7,58.6,4.1,0,0
Balkars_Y,4.4,0.4,0,0,6.5,2.7,22.3,0.1,0.8,48.5,14.3,0,0
North_Ossetians_Y,4.6,0.1,0,0,6.7,2.3,20.9,0.5,1.4,49.9,13.6,0,0
Chechens_Y,2.1,0.7,0,0,7.7,0.7,17.6,0.3,0.6,50.6,19.1,0.7,0
Nogais_Y,14.5,0.3,0,0,5.7,8.1,17.3,0.1,1.3,33,19,0.5,0
Kumyks_Y,4.5,0.7,0,0,9.8,2.7,18.9,0.4,0.1,45.5,16.4,1.1,0
Turkmens_Y,7.4,1,0,0,10.1,5.9,13.4,0.3,1.3,41.7,10.4,8.7,0
Tajiks_Y,7.9,1.4,0,0,4.7,5,9.2,0.2,1.3,38.7,19.3,12.4,0
Paniya_Ch,2,0.1,0,0,0.7,7,0.3,4.6,0,0.4,0,84.9,0
Ho_Ch,0,0,0,0,0,24.7,0,3.6,0.2,0,0,71.4,0
Santhal_Ch,0,0.1,0,0,0,19.2,0,3,0.3,1.3,0,76.1,0
Mawasi_Ch,0,0,0,0,0,21.1,1.2,2.6,1.7,1.8,0,71.5,0
ASUR_Ch,0,0,0,0,0,17.7,0.5,2.6,0.7,4.2,0,74.4,0
BONDA_Ch,0,0,0,0,0,33.3,0,3.2,0,0,0,63.5,0
Savara_Ch,0.2,0,0,0,0,26.1,0.1,3.8,0,0,0,69.7,0
Gadaba_Ch,0,0,0,0,0,30.5,0,4.4,0,0,0,65,0
Juang_Ch,0,0,0,0,0,32.8,0,3.7,0,0,0,63.5,0
Kharia_Ch,0,0.2,0,0,0,27,0,3.7,0,0,0,69,0
Khasi_Ch,6.5,0.3,0,0,0.3,51.4,0,1.6,1,4.4,2.2,32.3,0
Garo_Ch,13.9,0,0,0,0.1,65,0,1.2,0.1,0,0,19.7,0
Burmanese_Ch,12.9,0.3,0,0,0.1,64,0,1.4,0,2.7,0.4,18.2,0
Bengali_M,1.5,1.4,0,0,0,5.1,0,1.3,0,27.3,5.3,58,0
Bhunjia_M,0.6,0,0,0,0,21,0.4,2.8,0.5,0,0,74.7,0
Brahmins_from_Tamil_Nadu_M,1.7,0.6,0,0,0.2,0.3,1.4,0.1,0.6,33.8,6.1,55.2,0
Brahmins_from_Uttar_Pradesh_M,0.2,1.1,0,0,0,0,2.2,0.4,0.7,31.7,13.5,50.1,0
Brahmins_from_Uttaranchal_M,10.8,1.3,0,0,0,18.7,0,0,0,25.9,6.1,37.1,0
Chamar_M,0.7,1.1,0,0,0,1.1,0.1,0.7,0.6,19.3,1.2,75.3,0
Chenchus_M,1.9,0.3,0,0,0.1,4.1,1,1.3,0.6,20.4,0.2,70.1,0
Dharkars_M,1.1,0.5,0,0,0,1.2,0.6,0,0.4,27.5,6.2,62.4,0
Dhurwa_M,0,0,0,0,0,22.3,0,4.1,0,0,0,73.6,0
Dusadh_M,0.2,0.3,0,0,0,3,0,0.9,0.7,24.1,3.2,67.7,0
Gond_M,0.4,0,0,0,0,10.5,0.1,2,1,12.1,1.5,72.4,0
Hakkipikki_M,1.5,0,0,0,1.5,2,0,1.1,0.7,18.2,0,74.9,0
Kanjars_M,0.4,1.3,0,0,0,0.4,0,0.4,0.7,27,7.7,62.3,0
Kol_M,0.8,0.6,0,0,0,1.4,0,0.4,0.5,22.4,4,69.8,0
Kshatriya_M,1.2,1.3,0,0,0,0.1,1,0.1,0.1,32.1,10.8,53.4,0
Kurmi_M,0,2,0,0,0,2,0,0.4,0,30,4.4,61.1,0
Kurumba_M,1.5,0.7,0,0,0.3,0.3,0,1.1,0.4,27,0,68.7,0
Lambadi_M,0.2,0.2,0,0,0,3.7,1.8,0.5,0.9,28.6,4.2,59.9,0
Meena_M,0,2.2,0,0,0,0.2,1.7,0,0.1,35.6,8.8,51.3,0
Meghawal_M,1,1.7,0,0,0.4,0,1.1,0.9,0.2,30.3,3.8,60.6,0
Muslim_M,1.5,0.7,0,0,0,2,0.5,0.4,1,26.7,7,60.1,0
Naga_M,27.5,0,0,0,0,69.4,0,1,0,0,0,2.1,0
Nihali_M,1.3,0.6,0,0,0.9,10.4,0.6,2.9,0.7,7,0.7,74.9,0
Piramalai_Kallars_M,0.7,0.4,0,0,0.2,0.8,0,1.1,0,26.2,0,70.5,0
Pulliyar_M,2.3,0,0,0,2.3,3.9,1.6,2.7,0,5.5,0,81.5,0
Tharus_M,1.2,0.7,0,0,0.2,1.5,0.4,0.5,0.7,28.3,5.6,61,0
Tamil_Nadu_Scheduled_Caste_M,0,0.4,0,0,1.7,1.8,0,1.2,0.2,27.4,0.4,66.8,0
Uttar_Pradesh_Scheduled_Caste_M,1.4,0.7,0,0,0,1.7,0.3,0.3,0.1,24.3,3.5,67.8,0
Velamas_M,0.9,0.2,0,0,0,0.5,0,0.8,0,32.2,0,65.4,0
Turkish_Aydin_Ho,8.5,0.1,0.1,0,14,3.4,28.2,0.4,0.3,32,13.1,0,0
Turkish_Kayseri_Ho,4,0.2,0,0,16.4,2.1,28,0.3,0.6,39.4,7.9,1.1,0
Turkish_Istanbul_Ho,3.3,0.1,0,0,14.9,3.1,26.8,0.3,0.7,42,8.2,0.6,0
Kyrgyz_Bishkek_Ho,38.8,1.9,0,0,1.1,25.4,5,0,1.9,11.2,12.5,2.2,0
AFAR_Pa,0,0,0,0,40.7,0.9,6,0,0.2,2.1,0,0.9,49.2
AMHARA_Pa,0.1,0,0,0.7,40.1,0,6.9,0,0,2.1,0,0,50
ANUAK_Pa,0,0,35.5,0.2,0,0,0,0,0,0,0,0,64.3
ARIBLACKSMITH_Pa,0,0.2,0,9.5,13.4,0,0,0,0,1,0,0.2,75.8
ARICULTIVATOR_Pa,0,0,0,9.8,15.3,0,0.5,0.5,0,0.7,0.1,0.2,73
GUMUZ_Pa,0,0,18.1,4.1,0,0,0,0.4,0,0,0,0.5,76.8
OROMO_Pa,0,0,0.5,2.6,33.1,0,5.1,0.1,0,1.3,0,0,57.3
SOMALI_Pa,0,0,0.8,0,33.2,0,3.8,0,0,0,0,0,62.3
SUDANESE_Pa,0,0,39.4,0,0,0,0,0,0,0,0,0,60.6
TYGRAY_Pa,0,0,0.1,0.2,40.5,0,8.1,0.4,0,2.5,0,0,48.1
WOLAYTA_Pa,0,0,1.5,4.5,28.8,0,4.2,0.2,0,2,0,0,58.7
ColouredColesberg_Sch,0,0,38.9,41,1,1.8,4.4,0.1,0.1,1.4,7.8,3.2,0.3
ColouredWellington_Sch,0.3,0,19.9,16.7,2,9.2,9.4,1.7,0.3,6.2,16.4,15.8,2.1
Khomani_Sch,0.2,0,11,77.8,3.2,0.5,0.5,0,0,0.4,0.9,1.5,4
Karretjie_Sch,0,0,14.2,77.6,0.3,1.3,0.9,0.1,0,0.1,2.7,2.9,0
Khwe_Sch,0,0,49.6,42.2,1.9,0,0,0,0,0,0,0,6.3
GuiGhanaKgal_Sch,0,0,20.3,79.3,0,0,0,0,0,0,0,0,0.5
Juhoansi_Sch,0,0,0,100,0,0,0,0,0,0,0,0,0
Nama_Sch,0,0,5.7,78.8,7,0,0.1,0,0,0,0,0,8.5
Xun_Sch,0,0,23.5,74.7,0,0,0,0,0,0,0,0,1.8
SEBantu_Sch,0,0,75.9,22.3,0,0,0,0,0,0,0,0,1.8
SWBantu_Sch,0,0,88,10,0,0,0,0,0,0,0,0,1.9
Samaritan_All,0,0,0,0,41.3,0,28.4,0.1,0,28.8,0,0,1.4
 
Last edited:
Thanks Jovialis

Dodecad Global 13 ancient:

Distance to:Duarte
5.65621782aDNA:I12514:_(Olalde_et_al_2019)
6.13415031aDNA:I10895:_(Olalde_et_al_2019)
6.24398110aDNA:I10866:_(Olalde_et_al_2019)
6.26891538aDNA:I10853:_(Olalde_et_al_2019)
6.39570168aDNA:I10892:_(Olalde_et_al_2019)
6.55540235aDNA:I1313:_(Olalde_et_al_2019)
6.74273683aDNA:R110:Late_Antiquity_Crypta_Balbi_(Antonio_M_et_al_2019)
6.89459208aDNA:I12516:_(Olalde_et_al_2019)
6.91129510aDNA:R109:Late_Antiquity_Crypta_Balbi_(Antonio_M_et_al_2019)
6.92582125aDNA:I10852:_(Olalde_et_al_2019)
6.93939479aDNA:I3584:_(Olalde_et_al_2019)
6.94108061aDNA:I6490:_(Olalde_et_al_2019)
7.49508506aDNA:I3585:_(Olalde_et_al_2019)
7.59223946aDNA:ERS88:IA_ERS88_(S_Brunel_2020)
7.61400683aDNA:R1289:Medieval_Era_Cancelleria_(Antonio_M_et_al_2019)
7.67329786aDNA:R474:Iron_Age_Civitavecchia_(Antonio_M_et_al_2019)
7.71966321aDNA:R63:Medieval_Era_Villa_Magna_(Antonio_M_et_al_2019)
7.78762480aDNA:I7673:_(Olalde_et_al_2019)
7.85466740aDNA:I7675:_(Olalde_et_al_2019)
7.96866363aDNA:R61:Medieval_Era_Villa_Magna_(Antonio_M_et_al_2019)
7.99977500aDNA:R473:Iron_Age_Civitavecchia_(Antonio_M_et_al_2019)
8.00427386aDNA:I12649:_(Olalde_et_al_2019)
8.12419227aDNA:I12515:_(Olalde_et_al_2019)
8.13916458aDNA:I3574:_(Olalde_et_al_2019)
8.19093401aDNA:I4332:_Croatia_EMBA_(Mathieson_et_al_2018)
 
Here are the modern coordinates taken from the Dodecad Global 13 spreadsheet:

https://docs.google.com/spreadsheets/d/1lps42RGFjkjt-iedVYPXeaQ5RPFJIbJiJmurkJTqUEs/edit#gid=2

Code:
Armenian_D,30,0,0,0,0,20.6,0,29.2,0.3,0.1,48.5,1.1,0.2,0
Ashkenazi_D,21,0.5,0,0,0,20.6,0.7,37.8,0.2,0.2,22.4,16.7,0,0.9
Russian_D,21,2.6,0.2,0,0,5.9,0.3,15,0.2,0.6,4.6,70.5,0,0
Turkish_D,28,3.6,0,0,0,16.2,1.7,28.5,0.4,0.4,40.1,8.3,0.7,0
Indian_D,26,1,0.8,0,0,0.4,0.6,1,0.3,0.2,34.1,5.8,55.7,0
Polish_D,20,0.1,0,0,0,5.6,0,20.1,0.1,0.4,5.3,68.4,0,0
Spanish_D,19,0,0,0.9,0.1,5.6,0,50.4,0,0,5.1,36.8,0.4,0.6
German_D,20,0,0,0,0,3.6,0,29.7,0.1,0,7.3,59.2,0,0
Irish_D,17,0,0.4,0,0,0,0,33.7,0,0,6.2,59.1,0.6,0
Greek_D,19,0.1,0,0,0,15.1,0.1,37.7,0,0,22.9,24.2,0,0
Finnish_D,15,5.6,0,0,0,4.8,0.1,9.8,0,1.2,0,78.4,0,0
Kurd_D,16,0.7,0.8,0,0,18.2,0.2,20.9,0.3,0.1,49.6,4.7,4.2,0.3
Mixed_Slav_D,12,1.9,0.1,0,0,5.7,1,16.4,0,0,5.9,69.1,0,0
Sicilian_D,15,0,0,1,0.2,17.3,0.1,40.6,0.2,0,23.6,16.5,0,0.5
French_D,14,0,0,0,0,4.1,0,40.5,0,0.2,7.4,47.1,0.7,0
Assyrian_D,14,0,0,0,0,24.9,0.2,26.8,0.3,0.2,46.6,0,0.9,0
Swedish_D,14,0.3,0,0,0,1.9,0,26.1,0,0.9,4.2,66.4,0.2,0
African_American_D,11,0,0.3,75.4,2.1,0.5,0,7,0,0.3,2.1,10.3,0.3,1.6
C_Italian_D,13,0,0,0.2,0,14.3,0,42.7,0.1,0,20.5,22.2,0,0
British_D,12,0,0.1,0,0,0.5,0,34.8,0.3,0.2,5.7,57.8,0.7,0
English_D,11,0,0,0,0,0.3,0,35.8,0.1,0,6.5,56.8,0.5,0
Portuguese_D,10,0,0.1,1.3,0,7.9,0,46.9,0.1,0,6,35,1,1.6
Lithuanian_D,10,0.2,0.2,0,0,5.2,0,14.4,0.1,0,3.2,76.6,0.1,0
Norwegian_D,10,0.6,0,0,0,0.4,0,28.9,0.2,0.7,4,65.2,0,0
S_Italian_Sicilian_D,10,0,0,0.3,0.1,17.6,0,40.4,0.3,0.2,23.7,16.5,0,0.8
Somali_D,9,0,0,1.3,0,34.3,0,2.3,0,0,0,0,0,62.1
Iranian_D,10,1.9,0.2,0,0,16.9,0.5,19.2,0.2,0.9,48.4,5.3,6.3,0.4
Mixed_Germanic_D,8,0,0,0,0,1.9,0,33.4,0.2,0,8.1,56,0.4,0
Chinese_D,8,17.9,0,0,0,0,82.1,0,0,0,0,0,0,0
Dutch_D,9,0,0,0,0,2.3,0,33.3,0,0,7.8,56,0.8,0
British_Isles_D,8,0,0,0,0,0,0,34.8,0.1,0.2,6,58.2,0.7,0
Bulgarian_D,6,0.8,0,0,0,11.1,0.6,31.1,0.1,0.2,17.5,38.8,0,0
Iyer_D,6,0.2,0.7,0,0,0.8,0.3,1.2,0.5,0.2,31.6,7.6,56.9,0
Brazilian_D,5,0,3.8,3.5,0.2,6.1,0,43.9,0.2,0,4.6,35.6,0.8,1.4
Iyengar_D,5,0.7,0.7,0,0,0.9,0.3,0,0.3,0.8,32.7,8,55.5,0
Korean_D,6,27.8,0,0,0,0,72.2,0,0,0,0,0,0,0
Serb_D,6,0,0,0,0,9.2,0.1,31.2,0,0,15,44.4,0,0
Ukrainian_D,5,0.7,0,0,0,6.6,0.6,20.9,0,0.5,7.8,62.9,0,0
O_Italian_D,5,0,0.1,0.7,0,10.6,0,39.8,0.3,0,18.4,30.3,0,0
N_Italian_D,5,0,0,0,0,9,0,42.5,0.1,0,14.4,34,0,0
Moroccan_D,5,0,0,9.3,0,29.7,0,43.8,0,0,0,6.5,1.1,9.5
Jatt_D,5,0.2,1.7,0,0,0.5,0,2.3,0,0.5,39.3,18.4,37.2,0
Algerian_D,5,0,0.2,11.9,0,31,0,37.6,0,0,3.2,5.8,1.3,9
Turkish_Cypriot_D,4,0.5,0,1.4,0.2,21.8,1.2,33.7,0.2,0.5,34,5.2,0,1.2
Austrian_D,5,0.5,0,0,0,5.7,0,30.6,0.2,0,8.6,54.1,0.3,0
Georgian_D,5,0.2,0,0,0,13.2,0.5,25.3,0,0.4,57.3,2.9,0,0
Adygei,15,3.2,0.3,0,0,7.7,1.3,21.8,0.3,0.8,49.3,15.2,0.1,0
Balochi,21,0,0.6,0.2,0,8.1,0,2.9,0,0.6,55.8,7.5,23.9,0.4
Bantu_N.E.,9,0,0,74.8,3.7,0.7,0,0,0,0,0,0,0,20.8
Bantu_S.E._Pedi,1,0,0,73.7,26.2,0,0,0,0,0,0,0,0,0
Bantu_S.E._S.Sotho,1,0,0,75.6,24.4,0,0,0,0,0,0,0,0,0
Bantu_S.E._Tswana,2,0,0,70.2,28.9,0,0,0,0,0,0,0,0,0.9
Bantu_S.E._Zulu,1,0,0,81.3,17.3,0,0,0,0,0,0,0,0,1.5
Bantu_S.W._Herero,2,0,0,91,9,0,0,0,0,0,0,0,0,0
Bantu_S.W._Ovambo,1,0,0,90.9,5.6,0,0,0,0,0,0,0,0,3.5
Bedouin,36,0,0,2.9,0,48.5,0,20,0.1,0,20.9,2.7,0.1,4.8
Biaka_Pygmies,17,0,0,67.8,32.2,0,0,0,0,0,0,0,0,0
Brahui,24,0,0.6,0.1,0.1,9,0,2,0.2,0,56.5,7.1,23.8,0.8
Burusho,20,5,1.7,0,0,0.5,5,1,0.2,1.1,41.3,12.6,31.7,0
Cambodians,10,0,0,0,0,0.3,81.1,0,2.3,0.2,0.2,1.3,14.5,0
Colombians,4,0,100,0,0,0,0,0,0,0,0,0,0,0
Dai,9,0,0,0,0,0,96.9,0,0.8,0.2,0,0,2.1,0
Daur,8,48.3,0.2,0,0,0,48.7,0.3,0.1,0.9,1.4,0.2,0,0
Druze,32,0,0,0.5,0,30,0.1,30.4,0.4,0,36.7,0.6,0,1.2
French,28,0,0.1,0,0,3.5,0,40.1,0,0,8.2,47.6,0.4,0
French_Basque,23,0,0.1,0,0,0,0,59.5,0,0,0.2,39,1.1,0
Han,25,11.2,0,0,0,0,88.8,0,0,0,0,0,0,0
Hazara,16,25.3,1.4,0,0,3.1,20.5,4.8,0.2,0.7,23.4,10.8,9.7,0
Hezhen,7,42.9,0.2,0,0,0,54.2,0,0,2.7,0,0,0,0
Japanese,21,29.6,0,0,0,0,70.4,0,0,0,0,0,0,0
Kalash,15,0.1,1.4,0,0,0,0,0,0.1,1.7,56.5,14.8,25.5,0
Karitiana,4,0,100,0,0,0,0,0,0,0,0,0,0,0
Lahu,7,5.3,0,0,0,0,89.5,0,1.1,0,0,0,4.1,0
Makrani,22,0,0.3,3.8,0,10.2,0,3.2,0,0,55.5,5.3,20.7,1
Mandenka,18,0,0,95,0.1,1.5,0,0.4,0.2,0,0,0,0,2.9
Maya,17,0.2,96.9,0,0,0,0,2.1,0,0,0,0.8,0,0
Mbuti_Pygmies,11,0,0,44,47.5,0,0,0,0,0,0,0,0,8.4
Miaozu,9,11.4,0,0,0,0,88.6,0,0,0,0,0,0,0
Mongola,10,35,0.5,0,0,0,59.1,1,0,0.2,2.3,2,0,0
Mozabite,29,0.3,0,14.1,0,31.1,0,43.6,0,0.2,0,0,1.5,9.1
NAN_Melanesian,9,0,0,0,0,0,22.3,0,77.6,0,0,0,0,0
Naxi,7,23.2,0,0,0,0,74.1,0,0.6,0,0,0,2.1,0
North_Italian,11,0,0,0,0,9,0,46.6,0,0,13,31.4,0,0
Orcadian,13,0,0.4,0,0,0,0,33.9,0.1,0,6.2,58.8,0.6,0
Oroqen,9,56.6,0,0,0,0,39.9,0.2,0,3.3,0,0,0,0
Palestinian,32,0,0,2.7,0.1,36.4,0,25.6,0.1,0,29.2,0.7,0.6,4.5
Papuan,15,0,0,0,0,0,0,0,100,0,0,0,0,0
Pathan,22,1.7,1.4,0,0,3.5,0,3.3,0,0.6,44.2,14.5,30.8,0
Pima,7,0.8,96.9,0,0,0,0,0,0,2.4,0,0,0,0
Russian,17,6.7,0.5,0,0,4.6,0,12.9,0,1.5,4.9,68.5,0.4,0
San,4,0,0,0,100,0,0,0,0,0,0,0,0,0
Sardinian,25,0,0,0,0.1,8.7,0,71,0,0,4.1,16.1,0,0
She,9,9.5,0,0,0,0,90.4,0,0,0,0,0,0,0
Sindhi,23,0.2,0.9,0,0,3.1,0,1.6,0,0.6,44.8,9.1,39.7,0
Surui,3,0,100,0,0,0,0,0,0,0,0,0,0,0
Tu,9,26.6,0.7,0,0,0.3,65.7,0.9,0,0,3.1,0.8,1.8,0
Tujia,10,14.8,0,0,0,0,85.2,0,0,0,0,0,0,0
Tuscan,7,0,0,0,0,11,0.1,44.1,0,0,18.3,26.5,0,0
Uygur,10,21.7,1.7,0,0,2.9,25.1,5.2,0.1,1.6,20.7,13.9,7.1,0
Xibo,8,37.5,0.4,0,0,0,58.4,0.9,0,0.2,2,0.7,0,0
Yakut,23,81.3,1,0,0,0,9.4,1,0,0.2,2.7,4.2,0.2,0
Yizu,9,21.6,0,0,0,0,75.5,0,0.9,0,0,0,1.9,0
Yoruba,18,0,0,99.9,0.1,0,0,0,0,0,0,0,0,0
ASW30,24,0,0.4,81.4,1.9,0.4,0,5.6,0,0.1,0.7,7.9,0.3,1.3
CEU30,20,0,0,0,0,1,0,34.2,0,0.4,6.8,56.7,0.9,0
CHB30,19,18,0,0,0,0,82,0,0,0,0,0,0,0
CHD30,23,13.2,0,0,0,0,86.8,0,0,0,0,0,0,0
GIH30,19,0.6,1,0,0,0,0,0,0.1,0.1,33.3,3.7,61.2,0
JPT30,23,29.9,0,0,0,0,70.1,0,0,0,0,0,0,0
LWK30,23,0,0,73.4,3.8,1.4,0,0,0,0,0,0,0,21.3
MEX30,26,0.1,45.8,3.3,0.1,4,0.6,24,0.3,1.7,4.4,14.5,0.4,0.8
MKK30,22,0,0,26.4,2.8,16.4,0,0.5,0,0,0,0,0,53.9
TSI30,20,0,0,0,0,11,0,44.1,0.1,0,17.7,27.2,0,0
YRI30,20,0,0,100,0,0,0,0,0,0,0,0,0,0
Armenians,18,0,0,0,0,18.5,0,29.1,0.2,0.1,50.6,1.5,0,0
Ashkenazy_Jews,17,0.9,0.1,0,0,20.4,0.6,37.5,0.3,0.2,23.1,16,0,1
Azerbaijan_Jews,8,0.1,0.4,0,0,23.9,0,27.1,0,0,46.9,0,1.4,0.1
Belorussian,8,0.7,0,0,0,5.9,0.4,17.1,0.1,0.1,4.1,71.6,0,0
Bnei_Menashe_Jews,4,0,0,0.3,0,10.3,0,11.8,0.7,1.3,33.5,0.9,40.9,0.3
Chuvashs,14,18.9,0.2,0,0,3.9,1.2,8,0,3.6,8.6,54.9,0.7,0
Cochin_Jews,4,0.7,0.3,0,0,6.6,2.1,4.7,0.4,0.4,30.7,3.2,50.9,0
Cypriots,11,0,0,0,0,23.9,0,36.6,0.4,0,33.6,5.1,0,0.4
Egyptans,12,0,0,6.5,0,38.1,0.1,24.3,0.1,0,19.4,0,0,11.4
Ethiopian_Jews,11,0,0,0.2,1.1,39.2,0,6.5,0,0.1,1.5,0,0,51.4
Ethiopians,16,0,0,1,1.2,39.6,0,5,0,0,1.6,0,0,51.6
Georgia_Jews,4,0,0.1,0,0,24.8,0.5,26,0.1,0,46.5,1.8,0.2,0
Georgians,16,0,0,0,0,10.6,0.4,27.4,0,0,60.4,1.1,0,0
Hungarians,19,0.8,0.2,0,0,6.2,0.1,28.1,0,0.1,9.7,54.9,0,0
Iranian_Jews,4,0.2,0,0,0,28.7,0.5,23.2,0.1,0,45.1,0,1.7,0.4
Iranians,19,0.6,0.4,0.7,0.1,18.7,0.4,17.8,0.2,0.4,48.1,4.5,7.6,0.4
Iraq_Jews,10,0,0,0,0,30.4,0,24.6,0.2,0,43.5,0,1.1,0.2
Jordanians,20,0,0,2.3,0,33.7,0.4,26,0.3,0.2,30.4,1,0.5,5.2
Lebanese,2,1.5,0.4,1.4,0.6,26.5,0.8,27.4,0.5,0,33,4.9,1,1.9
Lezgins,15,0.8,1.1,0,0,7.3,0,15.8,0.1,0.8,52.3,20.2,1.6,0
Lithuanians,9,0,0,0,0,4.7,0,13,0,0,1.6,80.7,0,0
MALAYAN,2,1.7,0.4,0,0,0.5,6,0.9,3.3,0.7,7,0,79.6,0
Moroccans,9,0.2,0.3,14,0,33.7,0,39.3,0,0,0,2.3,0.9,9.3
Morocco_Jews,14,0,0.1,1.6,0,24,0,40.8,0.1,0,22.1,8.9,0.4,1.9
North_Kannadi,7,1.1,0.8,0,0,0,1.7,0,1.2,0.5,16.3,0.8,77.6,0
PANIYA,3,0.1,0,0.5,1,0,69.8,0,13.6,0.1,0,0.9,14,0
Romanians,15,0.6,0.1,0,0,10.4,0.5,31.1,0.3,0.1,15.7,40.4,0.7,0
Russian_B,2,3,0.4,0,0,4.4,0.9,15.5,0.6,0.4,5.4,69.3,0.1,0
SAKILLI,4,0,0.1,0,0,0.1,2.8,0,1.3,0,21.1,0,74.5,0
Saudis,20,0,0.1,0.9,0.5,65,0,9.4,0.2,0,18.3,2.1,0.7,2.8
Sephardic_Jews,19,0.2,0,0.7,0,23.2,0,40.2,0.2,0,24.9,9.2,0.1,1.4
Spaniards,10,0,0,0.5,0,5.3,0,48.9,0.1,0.1,7.1,37.1,0.2,0.7
Syrians,15,0.2,0,2.6,0.1,32,0,25.4,0,0.2,32.3,2.6,1.6,2.9
Turks,19,4.6,0.3,0,0,16.2,2,26.7,0.1,0.9,39.7,8,1.5,0
Uzbekistan_Jews,2,0.3,0.5,0,0,24.4,0.3,22.7,0.5,0.2,44.7,3.5,2.6,0.3
Uzbeks,15,23.2,1.2,0,0,4.5,14.9,7.8,0,1.4,23.7,16.3,7.1,0
Yemen_Jews,14,0,0,0,0,57.3,0,17.2,0.2,0,20.5,0,0,4.8
Yemenese,8,0,0.1,8.8,0.7,40.8,0,14.4,0.4,0.9,22.1,0.8,3,7.9
Selkup,9,47.9,2.1,0,0,0,0,0,0,9.4,4.1,35,1.6,0
Ket,2,56.8,3.6,0,0,0,0,0,0,8.8,2.4,27.7,0.7,0
Altai,11,48,2.2,0,0,0,19.9,1.8,0,4.1,9.2,13.2,1.7,0
Evenk,12,84.8,0.2,0,0,0,6.1,0,0,2.7,2,4.1,0.1,0
Tuva,13,57.6,1,0,0,0.3,21.8,0.8,0.3,4.1,4.9,8.8,0.4,0
EastGreenland,7,0,0,0,0,0,0,0,0,100,0,0,0,0
WestGreenland,8,0,2,0,0,0.2,0,12.9,0,62.7,0,22.3,0,0
Aleut,7,6.6,4.6,0,0,4,1.3,11.8,0,16.6,3.6,51.2,0.2,0
Yukagir,5,75.7,0,0,0,0.4,5,1,0,7.8,1.2,8.8,0,0
Nganassan,9,88.5,0,0,0,0,0,0,0,8,0,3.5,0,0
Dolgan,6,75.5,0,0,0,1,4.5,1.8,0,2,1,13.1,1,0
Buryat,11,60,0.6,0,0,0.3,24.2,1.3,0.3,2.8,4.2,5,1.1,0
Koryak,5,49.5,0,0,0,0,0.2,0,0,50.3,0,0,0,0
Mongol,6,48.5,1.4,0,0,0,28.6,3,0.2,2.6,6.7,8.4,0.7,0
Chukchi,13,26,0,0,0,0,0,0,0,74,0,0,0,0
AthabaskHD4,1,0,23.8,0,0,0,1.5,20.9,0.4,11.5,5,37,0,0
Athabask,14,0.2,58.7,0,0,0,1.3,0,0,35.5,0.3,4.2,0,0
Hadza_He,2,0,0,22,19.7,3.1,0.6,0,0.3,0,2.8,0,0.6,50.9
Sandawe_He,18,0,0,27.9,13.9,13.4,0,1.3,0,0,0,0,0,43.6
San_He,25,0,0,4.4,93.1,1.7,0,0,0,0,0,0,0,0.7
CHS30,22,10.1,0,0,0,0,89.9,0,0,0,0,0,0,0
INS30,22,1,0.6,0,0,0.6,0.6,0.2,0.7,0.3,30.2,2.9,63,0
MAS30,21,0,0,0,0,0,81.1,0,4.7,0.4,0.9,1.1,11.8,0
Colombian,22,0,35.9,6.6,0.3,4.2,0,28.9,0.1,0.3,4,19.3,0.1,0.3
Dominican,24,0,7.2,40.8,0.9,4.6,0,24.4,0,0,3.1,17.1,0.4,1.4
Ecuadorian,19,0,51.8,4.4,0,3.9,0,21.5,0.2,0.6,2.8,13.6,0.4,0.8
Puerto_Rican,26,0.1,16.1,18.5,0.5,6.4,0,31.9,0,0,3.8,21.1,0.4,1.1
FIN30,27,6.5,0,0,0,4.7,0,10.2,0,0.7,0,77.9,0,0
CLM30,26,0,27.7,5.6,0.1,5,0,33.5,0,0,4.5,22.8,0.3,0.5
PUR30,29,0,13.7,11.4,0.3,6.1,0,37.5,0,0.1,5.3,24,0.3,1.4
CDX30,30,0,0,0,0,0,97.2,0,0.8,0.2,0,0,1.8,0
KHV30,24,1.6,0,0,0,0,93.3,0,1.2,0.5,0,0,3.5,0
ACB30,22,0,0,88.4,1.5,0.3,0,3.3,0,0,1,4.9,0,0.7
PEL30,24,0,81.8,0.1,0,1.4,0,10.2,0,0,1.5,5,0,0
Orkney_1KG,21,0,0.3,0,0,0,0,33.4,0,0,5.8,59.8,0.7,0
Kent_1KG,36,0,0,0,0,0.8,0,35.2,0.1,0,6.5,57,0.4,0
Cornwall_1KG,27,0,0.1,0,0,0.1,0,36.5,0,0,7.1,55.8,0.5,0
Argyll_1KG,4,0,0.2,0,0,0,0,32.6,0,0.7,7.4,58.4,0.6,0
Canarias_1KG,2,0.3,0.2,1.6,0.1,9,0.4,48.6,0.1,0,5.9,29.6,0.5,3.6
Galicia_1KG,7,0,0,0.8,0,7.7,0,47.1,0,0,5.5,36.2,1.3,1.5
Aragon_1KG,6,0.3,0,0,0,4.4,0,52.6,0.2,0,4.7,36.4,1,0.4
Valencia_1KG,10,0,0,0.6,0,3.9,0,51,0.1,0.2,6,36.7,1.1,0.5
Andalucia_1KG,4,0.2,0.3,0.9,0.3,5.7,0,51.9,0.3,0,7.7,32.1,0,0.7
Murcia_1KG,8,0,0,0.8,0,8.3,0.1,49.1,0.1,0.2,6.8,33.1,0.3,1.2
Baleares_1KG,6,0,0,0.6,0.1,6.2,0,48.2,0,0.6,8.6,35.1,0.5,0
Cataluna_1KG,7,0,0,0.3,0,4.9,0,48.2,0,0,5.8,39.9,1,0
Pais_Vasco_1KG,7,0,0.3,0,0,0,0,56.1,0,0,1.5,41,1.1,0
Cantabria_1KG,5,0,0.6,0.2,0,4.4,0,51.1,0.2,0,5,37,0.5,0.9
Extremadura_1KG,7,0,0,1.2,0,6.6,0,47.8,0.1,0.4,6.5,35,1,1.2
Castilla_La_Mancha_1KG,6,0,0.1,0.2,0,5.4,0,50.1,0.2,0.3,6,35.8,0.8,1.1
Castilla_Y_Leon_1KG,12,0,0,0.7,0,7.1,0,49.6,0.1,0,5.1,35.4,1.1,1
Kurds_Y,6,0.4,0.6,0,0.1,18.9,0.2,20.3,0.3,0,49.1,5.8,4.2,0
Bulgarians_Y,12,0.6,0,0,0,10.6,0.2,32.3,0.1,0.4,17.3,38.5,0,0
Ukranians_Y,17,0.7,0,0,0,7.1,0.2,18.9,0,0.3,7.3,65.5,0,0
Mordovians_Y,13,5.3,0,0,0,4.4,0.9,13,0,1.4,7.4,67.3,0.3,0
Armenians_15_Y,13,0,0,0,0,20.6,0,27.8,0.4,0.3,49,1,0.9,0
Abhkasians_Y,17,0.9,0,0,0,9.7,0.8,25.2,0.1,0.7,58.6,4.1,0,0
Balkars_Y,17,4.4,0.4,0,0,6.5,2.7,22.3,0.1,0.8,48.5,14.3,0,0
North_Ossetians_Y,12,4.6,0.1,0,0,6.7,2.3,20.9,0.5,1.4,49.9,13.6,0,0
Chechens_Y,15,2.1,0.7,0,0,7.7,0.7,17.6,0.3,0.6,50.6,19.1,0.7,0
Nogais_Y,14,14.5,0.3,0,0,5.7,8.1,17.3,0.1,1.3,33,19,0.5,0
Kumyks_Y,13,4.5,0.7,0,0,9.8,2.7,18.9,0.4,0.1,45.5,16.4,1.1,0
Turkmens_Y,11,7.4,1,0,0,10.1,5.9,13.4,0.3,1.3,41.7,10.4,8.7,0
Tajiks_Y,15,7.9,1.4,0,0,4.7,5,9.2,0.2,1.3,38.7,19.3,12.4,0
Paniya_Ch,4,2,0.1,0,0,0.7,7,0.3,4.6,0,0.4,0,84.9,0
Ho_Ch,5,0,0,0,0,0,24.7,0,3.6,0.2,0,0,71.4,0
Santhal_Ch,1,0,0.1,0,0,0,19.2,0,3,0.3,1.3,0,76.1,0
Mawasi_Ch,1,0,0,0,0,0,21.1,1.2,2.6,1.7,1.8,0,71.5,0
ASUR_Ch,2,0,0,0,0,0,17.7,0.5,2.6,0.7,4.2,0,74.4,0
BONDA_Ch,4,0,0,0,0,0,33.3,0,3.2,0,0,0,63.5,0
Savara_Ch,2,0.2,0,0,0,0,26.1,0.1,3.8,0,0,0,69.7,0
Gadaba_Ch,1,0,0,0,0,0,30.5,0,4.4,0,0,0,65,0
Juang_Ch,2,0,0,0,0,0,32.8,0,3.7,0,0,0,63.5,0
Kharia_Ch,2,0,0.2,0,0,0,27,0,3.7,0,0,0,69,0
Khasi_Ch,3,6.5,0.3,0,0,0.3,51.4,0,1.6,1,4.4,2.2,32.3,0
Garo_Ch,4,13.9,0,0,0,0.1,65,0,1.2,0.1,0,0,19.7,0
Burmanese_Ch,14,12.9,0.3,0,0,0.1,64,0,1.4,0,2.7,0.4,18.2,0
Bengali_M,1,1.5,1.4,0,0,0,5.1,0,1.3,0,27.3,5.3,58,0
Bhunjia_M,1,0.6,0,0,0,0,21,0.4,2.8,0.5,0,0,74.7,0
Brahmins_from_Tamil_Nadu_M,2,1.7,0.6,0,0,0.2,0.3,1.4,0.1,0.6,33.8,6.1,55.2,0
Brahmins_from_Uttar_Pradesh_M,7,0.2,1.1,0,0,0,0,2.2,0.4,0.7,31.7,13.5,50.1,0
Brahmins_from_Uttaranchal_M,1,10.8,1.3,0,0,0,18.7,0,0,0,25.9,6.1,37.1,0
Chamar_M,10,0.7,1.1,0,0,0,1.1,0.1,0.7,0.6,19.3,1.2,75.3,0
Chenchus_M,4,1.9,0.3,0,0,0.1,4.1,1,1.3,0.6,20.4,0.2,70.1,0
Dharkars_M,8,1.1,0.5,0,0,0,1.2,0.6,0,0.4,27.5,6.2,62.4,0
Dhurwa_M,1,0,0,0,0,0,22.3,0,4.1,0,0,0,73.6,0
Dusadh_M,6,0.2,0.3,0,0,0,3,0,0.9,0.7,24.1,3.2,67.7,0
Gond_M,4,0.4,0,0,0,0,10.5,0.1,2,1,12.1,1.5,72.4,0
Hakkipikki_M,3,1.5,0,0,0,1.5,2,0,1.1,0.7,18.2,0,74.9,0
Kanjars_M,7,0.4,1.3,0,0,0,0.4,0,0.4,0.7,27,7.7,62.3,0
Kol_M,15,0.8,0.6,0,0,0,1.4,0,0.4,0.5,22.4,4,69.8,0
Kshatriya_M,6,1.2,1.3,0,0,0,0.1,1,0.1,0.1,32.1,10.8,53.4,0
Kurmi_M,1,0,2,0,0,0,2,0,0.4,0,30,4.4,61.1,0
Kurumba_M,4,1.5,0.7,0,0,0.3,0.3,0,1.1,0.4,27,0,68.7,0
Lambadi_M,1,0.2,0.2,0,0,0,3.7,1.8,0.5,0.9,28.6,4.2,59.9,0
Meena_M,1,0,2.2,0,0,0,0.2,1.7,0,0.1,35.6,8.8,51.3,0
Meghawal_M,1,1,1.7,0,0,0.4,0,1.1,0.9,0.2,30.3,3.8,60.6,0
Muslim_M,5,1.5,0.7,0,0,0,2,0.5,0.4,1,26.7,7,60.1,0
Naga_M,4,27.5,0,0,0,0,69.4,0,1,0,0,0,2.1,0
Nihali_M,2,1.3,0.6,0,0,0.9,10.4,0.6,2.9,0.7,7,0.7,74.9,0
Piramalai_Kallars_M,8,0.7,0.4,0,0,0.2,0.8,0,1.1,0,26.2,0,70.5,0
Pulliyar_M,4,2.3,0,0,0,2.3,3.9,1.6,2.7,0,5.5,0,81.5,0
Tharus_M,2,1.2,0.7,0,0,0.2,1.5,0.4,0.5,0.7,28.3,5.6,61,0
Tamil_Nadu_Scheduled_Caste_M,2,0,0.4,0,0,1.7,1.8,0,1.2,0.2,27.4,0.4,66.8,0
Uttar_Pradesh_Scheduled_Caste_M,4,1.4,0.7,0,0,0,1.7,0.3,0.3,0.1,24.3,3.5,67.8,0
Velamas_M,8,0.9,0.2,0,0,0,0.5,0,0.8,0,32.2,0,65.4,0
Turkish_Aydin_Ho,16,8.5,0.1,0.1,0,14,3.4,28.2,0.4,0.3,32,13.1,0,0
Turkish_Kayseri_Ho,22,4,0.2,0,0,16.4,2.1,28,0.3,0.6,39.4,7.9,1.1,0
Turkish_Istanbul_Ho,20,3.3,0.1,0,0,14.9,3.1,26.8,0.3,0.7,42,8.2,0.6,0
Kyrgyz_Bishkek_Ho,16,38.8,1.9,0,0,1.1,25.4,5,0,1.9,11.2,12.5,2.2,0
AFAR_Pa,1,0,0,0,0,40.7,0.9,6,0,0.2,2.1,0,0.9,49.2
AMHARA_Pa,9,0.1,0,0,0.7,40.1,0,6.9,0,0,2.1,0,0,50
ANUAK_Pa,6,0,0,35.5,0.2,0,0,0,0,0,0,0,0,64.3
ARIBLACKSMITH_Pa,5,0,0.2,0,9.5,13.4,0,0,0,0,1,0,0.2,75.8
ARICULTIVATOR_Pa,6,0,0,0,9.8,15.3,0,0.5,0.5,0,0.7,0.1,0.2,73
GUMUZ_Pa,2,0,0,18.1,4.1,0,0,0,0.4,0,0,0,0.5,76.8
OROMO_Pa,8,0,0,0.5,2.6,33.1,0,5.1,0.1,0,1.3,0,0,57.3
SOMALI_Pa,3,0,0,0.8,0,33.2,0,3.8,0,0,0,0,0,62.3
SUDANESE_Pa,5,0,0,39.4,0,0,0,0,0,0,0,0,0,60.6
TYGRAY_Pa,9,0,0,0.1,0.2,40.5,0,8.1,0.4,0,2.5,0,0,48.1
WOLAYTA_Pa,1,0,0,1.5,4.5,28.8,0,4.2,0.2,0,2,0,0,58.7
ColouredColesberg_Sch,11,0,0,38.9,41,1,1.8,4.4,0.1,0.1,1.4,7.8,3.2,0.3
ColouredWellington_Sch,12,0.3,0,19.9,16.7,2,9.2,9.4,1.7,0.3,6.2,16.4,15.8,2.1
Khomani_Sch,8,0.2,0,11,77.8,3.2,0.5,0.5,0,0,0.4,0.9,1.5,4
Karretjie_Sch,13,0,0,14.2,77.6,0.3,1.3,0.9,0.1,0,0.1,2.7,2.9,0
Khwe_Sch,7,0,0,49.6,42.2,1.9,0,0,0,0,0,0,0,6.3
GuiGhanaKgal_Sch,6,0,0,20.3,79.3,0,0,0,0,0,0,0,0,0.5
Juhoansi_Sch,10,0,0,0,100,0,0,0,0,0,0,0,0,0
Nama_Sch,15,0,0,5.7,78.8,7,0,0.1,0,0,0,0,0,8.5
Xun_Sch,13,0,0,23.5,74.7,0,0,0,0,0,0,0,0,1.8
SEBantu_Sch,11,0,0,75.9,22.3,0,0,0,0,0,0,0,0,1.8
SWBantu_Sch,7,0,0,88,10,0,0,0,0,0,0,0,0,1.9
Samaritan_All,3,0,0,0,0,41.3,0,28.4,0.1,0,28.8,0,0,1.4

Hi Jovialis. There is an error because are 14 data separated by commas and not 13. Cheers. (y)
 
Here are strictly the modern West Eurasian samples. They work well with the aDNA samples. I recommend just using these instead of all of the modern samples:

Code:
Armenian_D,0,0,0,0,20.6,0,29.2,0.3,0.1,48.5,1.1,0.2,0
Ashkenazi_D,0.5,0,0,0,20.6,0.7,37.8,0.2,0.2,22.4,16.7,0,0.9
Russian_D,2.6,0.2,0,0,5.9,0.3,15,0.2,0.6,4.6,70.5,0,0
Polish_D,0.1,0,0,0,5.6,0,20.1,0.1,0.4,5.3,68.4,0,0
Spanish_D,0,0,0.9,0.1,5.6,0,50.4,0,0,5.1,36.8,0.4,0.6
German_D,0,0,0,0,3.6,0,29.7,0.1,0,7.3,59.2,0,0
Irish_D,0,0.4,0,0,0,0,33.7,0,0,6.2,59.1,0.6,0
Greek_D,0.1,0,0,0,15.1,0.1,37.7,0,0,22.9,24.2,0,0
Finnish_D,5.6,0,0,0,4.8,0.1,9.8,0,1.2,0,78.4,0,0
Mixed_Slav_D,1.9,0.1,0,0,5.7,1,16.4,0,0,5.9,69.1,0,0
Sicilian_D,0,0,1,0.2,17.3,0.1,40.6,0.2,0,23.6,16.5,0,0.5
French_D,0,0,0,0,4.1,0,40.5,0,0.2,7.4,47.1,0.7,0
Swedish_D,0.3,0,0,0,1.9,0,26.1,0,0.9,4.2,66.4,0.2,0
C_Italian_D,0,0,0.2,0,14.3,0,42.7,0.1,0,20.5,22.2,0,0
British_D,0,0.1,0,0,0.5,0,34.8,0.3,0.2,5.7,57.8,0.7,0
English_D,0,0,0,0,0.3,0,35.8,0.1,0,6.5,56.8,0.5,0
Portuguese_D,0,0.1,1.3,0,7.9,0,46.9,0.1,0,6,35,1,1.6
Lithuanian_D,0.2,0.2,0,0,5.2,0,14.4,0.1,0,3.2,76.6,0.1,0
Norwegian_D,0.6,0,0,0,0.4,0,28.9,0.2,0.7,4,65.2,0,0
S_Italian_Sicilian_D,0,0,0.3,0.1,17.6,0,40.4,0.3,0.2,23.7,16.5,0,0.8
Mixed_Germanic_D,0,0,0,0,1.9,0,33.4,0.2,0,8.1,56,0.4,0
Dutch_D,0,0,0,0,2.3,0,33.3,0,0,7.8,56,0.8,0
British_Isles_D,0,0,0,0,0,0,34.8,0.1,0.2,6,58.2,0.7,0
Bulgarian_D,0.8,0,0,0,11.1,0.6,31.1,0.1,0.2,17.5,38.8,0,0
Serb_D,0,0,0,0,9.2,0.1,31.2,0,0,15,44.4,0,0
Ukrainian_D,0.7,0,0,0,6.6,0.6,20.9,0,0.5,7.8,62.9,0,0
O_Italian_D,0,0.1,0.7,0,10.6,0,39.8,0.3,0,18.4,30.3,0,0
N_Italian_D,0,0,0,0,9,0,42.5,0.1,0,14.4,34,0,0
Austrian_D,0.5,0,0,0,5.7,0,30.6,0.2,0,8.6,54.1,0.3,0
French,0,0.1,0,0,3.5,0,40.1,0,0,8.2,47.6,0.4,0
French_Basque,0,0.1,0,0,0,0,59.5,0,0,0.2,39,1.1,0
North_Italian,0,0,0,0,9,0,46.6,0,0,13,31.4,0,0
Orcadian,0,0.4,0,0,0,0,33.9,0.1,0,6.2,58.8,0.6,0
Russian,6.7,0.5,0,0,4.6,0,12.9,0,1.5,4.9,68.5,0.4,0
Sardinian,0,0,0,0.1,8.7,0,71,0,0,4.1,16.1,0,0
Tuscan,0,0,0,0,11,0.1,44.1,0,0,18.3,26.5,0,0
CEU30,0,0,0,0,1,0,34.2,0,0.4,6.8,56.7,0.9,0
TSI30,0,0,0,0,11,0,44.1,0.1,0,17.7,27.2,0,0
Belorussian,0.7,0,0,0,5.9,0.4,17.1,0.1,0.1,4.1,71.6,0,0
Cypriots,0,0,0,0,23.9,0,36.6,0.4,0,33.6,5.1,0,0.4
Hungarians,0.8,0.2,0,0,6.2,0.1,28.1,0,0.1,9.7,54.9,0,0
Lithuanians,0,0,0,0,4.7,0,13,0,0,1.6,80.7,0,0
Romanians,0.6,0.1,0,0,10.4,0.5,31.1,0.3,0.1,15.7,40.4,0.7,0
Russian_B,3,0.4,0,0,4.4,0.9,15.5,0.6,0.4,5.4,69.3,0.1,0
Spaniards,0,0,0.5,0,5.3,0,48.9,0.1,0.1,7.1,37.1,0.2,0.7
Cornwall_1KG,0,0.1,0,0,0.1,0,36.5,0,0,7.1,55.8,0.5,0
Argyll_1KG,0,0.2,0,0,0,0,32.6,0,0.7,7.4,58.4,0.6,0
FIN30,6.5,0,0,0,4.7,0,10.2,0,0.7,0,77.9,0,0
Canarias_1KG,0.3,0.2,1.6,0.1,9,0.4,48.6,0.1,0,5.9,29.6,0.5,3.6
Galicia_1KG,0,0,0.8,0,7.7,0,47.1,0,0,5.5,36.2,1.3,1.5
Aragon_1KG,0.3,0,0,0,4.4,0,52.6,0.2,0,4.7,36.4,1,0.4
Valencia_1KG,0,0,0.6,0,3.9,0,51,0.1,0.2,6,36.7,1.1,0.5
Andalucia_1KG,0.2,0.3,0.9,0.3,5.7,0,51.9,0.3,0,7.7,32.1,0,0.7
Murcia_1KG,0,0,0.8,0,8.3,0.1,49.1,0.1,0.2,6.8,33.1,0.3,1.2
Baleares_1KG,0,0,0.6,0.1,6.2,0,48.2,0,0.6,8.6,35.1,0.5,0
Cataluna_1KG,0,0,0.3,0,4.9,0,48.2,0,0,5.8,39.9,1,0
Pais_Vasco_1KG,0,0.3,0,0,0,0,56.1,0,0,1.5,41,1.1,0
Cantabria_1KG,0,0.6,0.2,0,4.4,0,51.1,0.2,0,5,37,0.5,0.9
Extremadura_1KG,0,0,1.2,0,6.6,0,47.8,0.1,0.4,6.5,35,1,1.2
Castilla_La_Mancha_1KG,0,0.1,0.2,0,5.4,0,50.1,0.2,0.3,6,35.8,0.8,1.1
Castilla_Y_Leon_1KG,0,0,0.7,0,7.1,0,49.6,0.1,0,5.1,35.4,1.1,1
Bulgarians_Y,0.6,0,0,0,10.6,0.2,32.3,0.1,0.4,17.3,38.5,0,0
Ukranians_Y,0.7,0,0,0,7.1,0.2,18.9,0,0.3,7.3,65.5,0,0
Mordovians_Y,5.3,0,0,0,4.4,0.9,13,0,1.4,7.4,67.3,0.3,0
Samaritan_All,0,0,0,0,41.3,0,28.4,0.1,0,28.8,0,0,1.4
Chechens_Y,2.1,0.7,0,0,7.7,0.7,17.6,0.3,0.6,50.6,19.1,0.7,0
Armenians_15_Y,0,0,0,0,20.6,0,27.8,0.4,0.3,49,1,0.9,0
Kurds_Y,0.4,0.6,0,0.1,18.9,0.2,20.3,0.3,0,49.1,5.8,4.2,0
Saudis,0,0.1,0.9,0.5,65,0,9.4,0.2,0,18.3,2.1,0.7,2.8
Sephardic_Jews,0.2,0,0.7,0,23.2,0,40.2,0.2,0,24.9,9.2,0.1,1.4
Iranian_Jews,0.2,0,0,0,28.7,0.5,23.2,0.1,0,45.1,0,1.7,0.4
Iranians,0.6,0.4,0.7,0.1,18.7,0.4,17.8,0.2,0.4,48.1,4.5,7.6,0.4
Iraq_Jews,0,0,0,0,30.4,0,24.6,0.2,0,43.5,0,1.1,0.2
Jordanians,0,0,2.3,0,33.7,0.4,26,0.3,0.2,30.4,1,0.5,5.2
Lebanese,1.5,0.4,1.4,0.6,26.5,0.8,27.4,0.5,0,33,4.9,1,1.9
Georgia_Jews,0,0.1,0,0,24.8,0.5,26,0.1,0,46.5,1.8,0.2,0
Georgians,0,0,0,0,10.6,0.4,27.4,0,0,60.4,1.1,0,0
Egyptans,0,0,6.5,0,38.1,0.1,24.3,0.1,0,19.4,0,0,11.4
Armenians,0,0,0,0,18.5,0,29.1,0.2,0.1,50.6,1.5,0,0
Ashkenazy_Jews,0.9,0.1,0,0,20.4,0.6,37.5,0.3,0.2,23.1,16,0,1
Azerbaijan_Jews,0.1,0.4,0,0,23.9,0,27.1,0,0,46.9,0,1.4,0.1
Turkish_D,3.6,0,0,0,16.2,1.7,28.5,0.4,0.4,40.1,8.3,0.7,0
Kurd_D,0.7,0.8,0,0,18.2,0.2,20.9,0.3,0.1,49.6,4.7,4.2,0.3
Assyrian_D,0,0,0,0,24.9,0.2,26.8,0.3,0.2,46.6,0,0.9,0
Iranian_D,1.9,0.2,0,0,16.9,0.5,19.2,0.2,0.9,48.4,5.3,6.3,0.4
Moroccan_D,0,0,9.3,0,29.7,0,43.8,0,0,0,6.5,1.1,9.5
Moroccans,0.2,0.3,14,0,33.7,0,39.3,0,0,0,2.3,0.9,9.3
Morocco_Jews,0,0.1,1.6,0,24,0,40.8,0.1,0,22.1,8.9,0.4,1.9
Algerian_D,0,0.2,11.9,0,31,0,37.6,0,0,3.2,5.8,1.3,9
Turkish_Cypriot_D,0.5,0,1.4,0.2,21.8,1.2,33.7,0.2,0.5,34,5.2,0,1.2
Georgian_D,0.2,0,0,0,13.2,0.5,25.3,0,0.4,57.3,2.9,0,0
Adygei,3.2,0.3,0,0,7.7,1.3,21.8,0.3,0.8,49.3,15.2,0.1,0
Druze,0,0,0.5,0,30,0.1,30.4,0.4,0,36.7,0.6,0,1.2
Mozabite,0.3,0,14.1,0,31.1,0,43.6,0,0.2,0,0,1.5,9.1
Palestinian,0,0,2.7,0.1,36.4,0,25.6,0.1,0,29.2,0.7,0.6,4.5
Syrians,0.2,0,2.6,0.1,32,0,25.4,0,0.2,32.3,2.6,1.6,2.9
Turks,4.6,0.3,0,0,16.2,2,26.7,0.1,0.9,39.7,8,1.5,0
Yemen_Jews,0,0,0,0,57.3,0,17.2,0.2,0,20.5,0,0,4.8
Yemenese,0,0.1,8.8,0.7,40.8,0,14.4,0.4,0.9,22.1,0.8,3,7.9
 
Thanks Jovialis.
Data from posts #s 1 and 9 - Ancient + Modern.
Soon as I will can I will post the plots 2D and 3D with the selected samples below.

Distance to:Duarte
5.65621782aDNA:I12514:_(Olalde_et_al_2019)
6.13415031aDNA:I10895:_(Olalde_et_al_2019)
6.24398110aDNA:I10866:_(Olalde_et_al_2019)
6.26891538aDNA:I10853:_(Olalde_et_al_2019)
6.39570168aDNA:I10892:_(Olalde_et_al_2019)
6.55540235aDNA:I1313:_(Olalde_et_al_2019)
6.72987370Portuguese_D
6.74273683aDNA:R110:Late_Antiquity_Crypta_Balbi_(Antonio_M_et_al_2019)
6.89459208aDNA:I12516:_(Olalde_et_al_2019)
6.91129510aDNA:R109:Late_Antiquity_Crypta_Balbi_(Antonio_M_et_al_2019)
6.92582125aDNA:I10852:_(Olalde_et_al_2019)
6.93939479aDNA:I3584:_(Olalde_et_al_2019)
6.94108061aDNA:I6490:_(Olalde_et_al_2019)
7.49508506aDNA:I3585:_(Olalde_et_al_2019)
7.51193717Galicia_1KG
7.51859029Extremadura_1KG
7.59223946aDNA:ERS88:IA_ERS88_(S_Brunel_2020)
7.61400683aDNA:R1289:Medieval_Era_Cancelleria_(Antonio_M_et_al_2019)
7.67329786aDNA:R474:Iron_Age_Civitavecchia_(Antonio_M_et_al_2019)
7.71966321aDNA:R63:Medieval_Era_Villa_Magna_(Antonio_M_et_al_2019)
7.78762480aDNA:I7673:_(Olalde_et_al_2019)
7.85466740aDNA:I7675:_(Olalde_et_al_2019)
7.96866363aDNA:R61:Medieval_Era_Villa_Magna_(Antonio_M_et_al_2019)
7.99977500aDNA:R473:Iron_Age_Civitavecchia_(Antonio_M_et_al_2019)
8.00427386aDNA:I12649:_(Olalde_et_al_2019)
 
Here are strictly the modern West Eurasian samples. They work well with the aDNA samples. I recommend just using these instead of all of the modern samples:

Code:
Armenian_D,0,0,0,0,20.6,0,29.2,0.3,0.1,48.5,1.1,0.2,0
Ashkenazi_D,0.5,0,0,0,20.6,0.7,37.8,0.2,0.2,22.4,16.7,0,0.9
Russian_D,2.6,0.2,0,0,5.9,0.3,15,0.2,0.6,4.6,70.5,0,0
Polish_D,0.1,0,0,0,5.6,0,20.1,0.1,0.4,5.3,68.4,0,0
Spanish_D,0,0,0.9,0.1,5.6,0,50.4,0,0,5.1,36.8,0.4,0.6
German_D,0,0,0,0,3.6,0,29.7,0.1,0,7.3,59.2,0,0
Irish_D,0,0.4,0,0,0,0,33.7,0,0,6.2,59.1,0.6,0
Greek_D,0.1,0,0,0,15.1,0.1,37.7,0,0,22.9,24.2,0,0
Finnish_D,5.6,0,0,0,4.8,0.1,9.8,0,1.2,0,78.4,0,0
Mixed_Slav_D,1.9,0.1,0,0,5.7,1,16.4,0,0,5.9,69.1,0,0
Sicilian_D,0,0,1,0.2,17.3,0.1,40.6,0.2,0,23.6,16.5,0,0.5
French_D,0,0,0,0,4.1,0,40.5,0,0.2,7.4,47.1,0.7,0
Swedish_D,0.3,0,0,0,1.9,0,26.1,0,0.9,4.2,66.4,0.2,0
C_Italian_D,0,0,0.2,0,14.3,0,42.7,0.1,0,20.5,22.2,0,0
British_D,0,0.1,0,0,0.5,0,34.8,0.3,0.2,5.7,57.8,0.7,0
English_D,0,0,0,0,0.3,0,35.8,0.1,0,6.5,56.8,0.5,0
Portuguese_D,0,0.1,1.3,0,7.9,0,46.9,0.1,0,6,35,1,1.6
Lithuanian_D,0.2,0.2,0,0,5.2,0,14.4,0.1,0,3.2,76.6,0.1,0
Norwegian_D,0.6,0,0,0,0.4,0,28.9,0.2,0.7,4,65.2,0,0
S_Italian_Sicilian_D,0,0,0.3,0.1,17.6,0,40.4,0.3,0.2,23.7,16.5,0,0.8
Mixed_Germanic_D,0,0,0,0,1.9,0,33.4,0.2,0,8.1,56,0.4,0
Dutch_D,0,0,0,0,2.3,0,33.3,0,0,7.8,56,0.8,0
British_Isles_D,0,0,0,0,0,0,34.8,0.1,0.2,6,58.2,0.7,0
Bulgarian_D,0.8,0,0,0,11.1,0.6,31.1,0.1,0.2,17.5,38.8,0,0
Serb_D,0,0,0,0,9.2,0.1,31.2,0,0,15,44.4,0,0
Ukrainian_D,0.7,0,0,0,6.6,0.6,20.9,0,0.5,7.8,62.9,0,0
O_Italian_D,0,0.1,0.7,0,10.6,0,39.8,0.3,0,18.4,30.3,0,0
N_Italian_D,0,0,0,0,9,0,42.5,0.1,0,14.4,34,0,0
Austrian_D,0.5,0,0,0,5.7,0,30.6,0.2,0,8.6,54.1,0.3,0
French,0,0.1,0,0,3.5,0,40.1,0,0,8.2,47.6,0.4,0
French_Basque,0,0.1,0,0,0,0,59.5,0,0,0.2,39,1.1,0
North_Italian,0,0,0,0,9,0,46.6,0,0,13,31.4,0,0
Orcadian,0,0.4,0,0,0,0,33.9,0.1,0,6.2,58.8,0.6,0
Russian,6.7,0.5,0,0,4.6,0,12.9,0,1.5,4.9,68.5,0.4,0
Sardinian,0,0,0,0.1,8.7,0,71,0,0,4.1,16.1,0,0
Tuscan,0,0,0,0,11,0.1,44.1,0,0,18.3,26.5,0,0
CEU30,0,0,0,0,1,0,34.2,0,0.4,6.8,56.7,0.9,0
TSI30,0,0,0,0,11,0,44.1,0.1,0,17.7,27.2,0,0
Belorussian,0.7,0,0,0,5.9,0.4,17.1,0.1,0.1,4.1,71.6,0,0
Cypriots,0,0,0,0,23.9,0,36.6,0.4,0,33.6,5.1,0,0.4
Hungarians,0.8,0.2,0,0,6.2,0.1,28.1,0,0.1,9.7,54.9,0,0
Lithuanians,0,0,0,0,4.7,0,13,0,0,1.6,80.7,0,0
Romanians,0.6,0.1,0,0,10.4,0.5,31.1,0.3,0.1,15.7,40.4,0.7,0
Russian_B,3,0.4,0,0,4.4,0.9,15.5,0.6,0.4,5.4,69.3,0.1,0
Spaniards,0,0,0.5,0,5.3,0,48.9,0.1,0.1,7.1,37.1,0.2,0.7
Cornwall_1KG,0,0.1,0,0,0.1,0,36.5,0,0,7.1,55.8,0.5,0
Argyll_1KG,0,0.2,0,0,0,0,32.6,0,0.7,7.4,58.4,0.6,0
FIN30,6.5,0,0,0,4.7,0,10.2,0,0.7,0,77.9,0,0
Canarias_1KG,0.3,0.2,1.6,0.1,9,0.4,48.6,0.1,0,5.9,29.6,0.5,3.6
Galicia_1KG,0,0,0.8,0,7.7,0,47.1,0,0,5.5,36.2,1.3,1.5
Aragon_1KG,0.3,0,0,0,4.4,0,52.6,0.2,0,4.7,36.4,1,0.4
Valencia_1KG,0,0,0.6,0,3.9,0,51,0.1,0.2,6,36.7,1.1,0.5
Andalucia_1KG,0.2,0.3,0.9,0.3,5.7,0,51.9,0.3,0,7.7,32.1,0,0.7
Murcia_1KG,0,0,0.8,0,8.3,0.1,49.1,0.1,0.2,6.8,33.1,0.3,1.2
Baleares_1KG,0,0,0.6,0.1,6.2,0,48.2,0,0.6,8.6,35.1,0.5,0
Cataluna_1KG,0,0,0.3,0,4.9,0,48.2,0,0,5.8,39.9,1,0
Pais_Vasco_1KG,0,0.3,0,0,0,0,56.1,0,0,1.5,41,1.1,0
Cantabria_1KG,0,0.6,0.2,0,4.4,0,51.1,0.2,0,5,37,0.5,0.9
Extremadura_1KG,0,0,1.2,0,6.6,0,47.8,0.1,0.4,6.5,35,1,1.2
Castilla_La_Mancha_1KG,0,0.1,0.2,0,5.4,0,50.1,0.2,0.3,6,35.8,0.8,1.1
Castilla_Y_Leon_1KG,0,0,0.7,0,7.1,0,49.6,0.1,0,5.1,35.4,1.1,1
Bulgarians_Y,0.6,0,0,0,10.6,0.2,32.3,0.1,0.4,17.3,38.5,0,0
Ukranians_Y,0.7,0,0,0,7.1,0.2,18.9,0,0.3,7.3,65.5,0,0
Mordovians_Y,5.3,0,0,0,4.4,0.9,13,0,1.4,7.4,67.3,0.3,0
Samaritan_All,0,0,0,0,41.3,0,28.4,0.1,0,28.8,0,0,1.4
Chechens_Y,2.1,0.7,0,0,7.7,0.7,17.6,0.3,0.6,50.6,19.1,0.7,0
Armenians_15_Y,0,0,0,0,20.6,0,27.8,0.4,0.3,49,1,0.9,0
Kurds_Y,0.4,0.6,0,0.1,18.9,0.2,20.3,0.3,0,49.1,5.8,4.2,0
Saudis,0,0.1,0.9,0.5,65,0,9.4,0.2,0,18.3,2.1,0.7,2.8
Sephardic_Jews,0.2,0,0.7,0,23.2,0,40.2,0.2,0,24.9,9.2,0.1,1.4
Iranian_Jews,0.2,0,0,0,28.7,0.5,23.2,0.1,0,45.1,0,1.7,0.4
Iranians,0.6,0.4,0.7,0.1,18.7,0.4,17.8,0.2,0.4,48.1,4.5,7.6,0.4
Iraq_Jews,0,0,0,0,30.4,0,24.6,0.2,0,43.5,0,1.1,0.2
Jordanians,0,0,2.3,0,33.7,0.4,26,0.3,0.2,30.4,1,0.5,5.2
Lebanese,1.5,0.4,1.4,0.6,26.5,0.8,27.4,0.5,0,33,4.9,1,1.9
Georgia_Jews,0,0.1,0,0,24.8,0.5,26,0.1,0,46.5,1.8,0.2,0
Georgians,0,0,0,0,10.6,0.4,27.4,0,0,60.4,1.1,0,0
Egyptans,0,0,6.5,0,38.1,0.1,24.3,0.1,0,19.4,0,0,11.4
Armenians,0,0,0,0,18.5,0,29.1,0.2,0.1,50.6,1.5,0,0
Ashkenazy_Jews,0.9,0.1,0,0,20.4,0.6,37.5,0.3,0.2,23.1,16,0,1
Azerbaijan_Jews,0.1,0.4,0,0,23.9,0,27.1,0,0,46.9,0,1.4,0.1
Turkish_D,3.6,0,0,0,16.2,1.7,28.5,0.4,0.4,40.1,8.3,0.7,0
Kurd_D,0.7,0.8,0,0,18.2,0.2,20.9,0.3,0.1,49.6,4.7,4.2,0.3
Assyrian_D,0,0,0,0,24.9,0.2,26.8,0.3,0.2,46.6,0,0.9,0
Iranian_D,1.9,0.2,0,0,16.9,0.5,19.2,0.2,0.9,48.4,5.3,6.3,0.4
Moroccan_D,0,0,9.3,0,29.7,0,43.8,0,0,0,6.5,1.1,9.5
Moroccans,0.2,0.3,14,0,33.7,0,39.3,0,0,0,2.3,0.9,9.3
Morocco_Jews,0,0.1,1.6,0,24,0,40.8,0.1,0,22.1,8.9,0.4,1.9
Algerian_D,0,0.2,11.9,0,31,0,37.6,0,0,3.2,5.8,1.3,9
Turkish_Cypriot_D,0.5,0,1.4,0.2,21.8,1.2,33.7,0.2,0.5,34,5.2,0,1.2
Georgian_D,0.2,0,0,0,13.2,0.5,25.3,0,0.4,57.3,2.9,0,0
Adygei,3.2,0.3,0,0,7.7,1.3,21.8,0.3,0.8,49.3,15.2,0.1,0
Druze,0,0,0.5,0,30,0.1,30.4,0.4,0,36.7,0.6,0,1.2
Mozabite,0.3,0,14.1,0,31.1,0,43.6,0,0.2,0,0,1.5,9.1
Palestinian,0,0,2.7,0.1,36.4,0,25.6,0.1,0,29.2,0.7,0.6,4.5
Syrians,0.2,0,2.6,0.1,32,0,25.4,0,0.2,32.3,2.6,1.6,2.9
Turks,4.6,0.3,0,0,16.2,2,26.7,0.1,0.9,39.7,8,1.5,0
Yemen_Jews,0,0,0,0,57.3,0,17.2,0.2,0,20.5,0,0,4.8
Yemenese,0,0.1,8.8,0.7,40.8,0,14.4,0.4,0.9,22.1,0.8,3,7.9

Here is a 3D PCA of the ancient samples combined with the Modern West Eurasian samples.

YmzXpJg.png
 
My sample in a 3D PCA of the ancient samples combined with the Modern West Eurasian samples.

USkXjf5.png
 
#9
Error! variable column number in SOURCE data

I can't execute it something is wrong
 
Are you using them in the source tab of the 3D PCA?

I just tried it and the 3D tab appeared but then I went to enter my coordinate and it gave again Error, it could be the wifi connection to that application because in general it works well, I'll try later.


Thanks
 
Plots 3D and 2D with samples of list next

FG0R8Bt.png


b6yqwK0.png


Thanks Jovialis.

Distance to:Duarte
5.65621782aDNA:I12514:_(Olalde_et_al_2019)
6.13415031aDNA:I10895:_(Olalde_et_al_2019)
6.24398110aDNA:I10866:_(Olalde_et_al_2019)
6.26891538aDNA:I10853:_(Olalde_et_al_2019)
6.39570168aDNA:I10892:_(Olalde_et_al_2019)
6.55540235aDNA:I1313:_(Olalde_et_al_2019)
6.72987370Portuguese_D
6.74273683aDNA:R110:Late_Antiquity_Crypta_Balbi_(Antonio_M_et_al_2019)
6.89459208aDNA:I12516:_(Olalde_et_al_2019)
6.91129510aDNA:R109:Late_Antiquity_Crypta_Balbi_(Antonio_M_et_al_2019)
6.92582125aDNA:I10852:_(Olalde_et_al_2019)
6.93939479aDNA:I3584:_(Olalde_et_al_2019)
6.94108061aDNA:I6490:_(Olalde_et_al_2019)
7.49508506aDNA:I3585:_(Olalde_et_al_2019)
7.51193717Galicia_1KG
7.51859029Extremadura_1KG
7.59223946aDNA:ERS88:IA_ERS88_(S_Brunel_2020)
7.61400683aDNA:R1289:Medieval_Era_Cancelleria_(Antonio_M_et_al_2019)
7.67329786aDNA:R474:Iron_Age_Civitavecchia_(Antonio_M_et_al_2019)
7.71966321aDNA:R63:Medieval_Era_Villa_Magna_(Antonio_M_et_al_2019)
7.78762480aDNA:I7673:_(Olalde_et_al_2019)
7.85466740aDNA:I7675:_(Olalde_et_al_2019)
7.96866363aDNA:R61:Medieval_Era_Villa_Magna_(Antonio_M_et_al_2019)
7.99977500aDNA:R473:Iron_Age_Civitavecchia_(Antonio_M_et_al_2019)
8.00427386aDNA:I12649:_(Olalde_et_al_2019)
 
Question, how are you guys obtaining distances for Global 13?
:

Not sure I am asking the same question, but where do you estimate your own personal Dodecad Global 13 coordinates? That calculator is not at GEDMATCH?
 
There are currently 3,589 aDNA samples on the Reich Lab site. I've produced 1,315 raw data files from BAMs, and CSVs. So there are 2,274 more samples to go. However, some of them are simply unattainable with the methods that I am using. This is because I do not know how to extract information from FASTQ or SRA files. If anyone can point me to some tools, that would be great.

The reason why I am doing this is not just for my own intellectual curiosity. But I would like to create far less esoteric resources that people can use, to explore and learn about ancient DNA.
 

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