K12b Eupedia Ancient Ethnicities Checker: reliably compare your DNA to ancient populations

Here are the values to copy and paste in Vahaduo to compare with your own genome or modern populations. They are listed in chronological order so that you can easily select the period you are interested in. When comparing someone to multiple ancient populations, it does not make much sense to mix Mesolithic or Neolithic samples with Iron Age or Medieval ones, so it's better to split the data accordingly. You can find the coordinates by period on this page.



Code:
Epipaleolithic_Levant_(Natufians)_(n=6),0.00,0.34,20.28,1.24,14.41,0.20,1.19,4.56,43.91,0.39,13.48,0.00
Epipaleolithic_Magreb_(Iberomaurusians)_(n=5),0.00,1.08,65.59,1.69,0.04,0.06,1.11,18.93,5.54,0.05,0.00,5.90
Mesolithic_Anatolia_(AHG)_(n=1),0.00,0.00,3.77,0.11,57.42,0.42,0.00,0.00,11.78,0.00,26.51,0.00
Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2),42.18,0.57,0.00,0.00,0.00,4.35,0.28,0.00,0.00,0.00,50.61,2.03
Mesolithic_West_Europeans_(WHG)_(n=21),0.00,0.57,0.00,0.74,30.90,65.73,0.38,0.08,0.00,0.02,0.00,1.57
Mesolithic_Balkans_HG_(n=43),0.01,0.37,0.02,0.35,24.46,72.81,0.08,0.02,0.09,0.07,0.03,1.71
Mesolithic_Baltic_Scandinavia_(SHG)_(n=31),0.25,2.72,0.00,0.22,15.89,79.14,0.50,0.12,0.00,0.02,0.00,1.13
Mesolithic_Ukraine_(n=7),0.92,4.54,0.00,0.62,9.05,81.79,1.31,0.55,0.00,0.00,0.00,1.21
Mesolithic_Volga-Ural_(n=2),11.27,8.18,0.00,0.00,0.00,77.53,2.39,0.00,0.00,0.00,0.00,0.64
Mesolithic_Northwest_Russia_(n=4),7.23,7.78,0.00,1.37,1.40,81.04,0.09,0.00,0.00,0.00,0.00,1.09
Late_Mesolithic_Comb_Ceramic_culture_(n=2),7.07,7.71,0.00,0.77,0.00,83.02,1.00,0.15,0.00,0.00,0.00,0.31
Pre-Pottery_Neolithic_Levant_(n=15),0.48,0.09,9.68,0.10,23.86,1.59,0.00,1.98,30.73,0.94,30.53,0.00
Pre-Pottery_Neolithic_Iran_(n=6),64.18,1.82,0.00,0.00,0.00,0.81,5.83,1.02,3.55,0.68,15.97,6.15
Pre-Pottery_Neolithic_Anatolia_(n=14),0.00,0.07,3.47,0.29,46.01,2.80,0.20,0.34,10.91,0.17,34.74,1.00
Early_Neolithic_Anatolia_(n=20),0.03,0.14,3.39,0.44,37.92,0.15,0.00,0.61,15.91,0.18,40.32,0.92
Early_Neolithic_Greece_(n=3),0.00,0.00,3.61,0.49,43.20,0.00,0.00,0.00,13.96,0.00,37.99,0.76
Early_Neolithic_Starcevo_culture_(n=8),0.00,0.09,2.99,0.01,49.42,7.60,0.00,0.06,11.36,0.04,28.32,0.11
EN_Alfold_Linear_Pottery_culture_(n=20),0.00,0.00,3.05,0.05,54.21,4.88,0.22,0.09,12.37,0.12,24.83,0.18
EN_LBK_culture_(n=43),0.00,0.02,3.21,0.09,51.90,0.72,0.00,0.12,14.11,0.07,29.64,0.13
Early_Neolithic_France_(n=4),0.00,0.06,2.12,0.00,57.21,0.69,0.00,0.00,12.87,0.00,27.06,0.00
Early_Neolithic_Spain_(n=10),0.00,0.32,4.62,0.13,69.67,0.81,0.01,0.05,9.59,0.15,14.08,0.58
Early_Neolithic_Italy_(n=10),0.00,0.00,3.77,0.01,54.90,1.68,0.00,0.05,11.33,0.05,28.23,0.01
Early_Neolithic_Maghreb_(n=1),0.00,0.00,19.30,0.00,48.09,0.17,0.00,1.77,20.93,0.00,9.74,0.00
Cucuteni-Trypillian_culture_(n=4),0,0.00,2.89,0.11,51.14,18.29,1.31,0.34,7.10,0.00,19.58,0.00
Neolithic_Ukraine_(n=12),0.11,3.03,0.00,0.75,11.68,81.52,1.26,0.00,0.00,0.32,0.00,1.34
Neolithic_Latvia_(n=4),0.00,0.40,0.00,0.40,13.65,75.89,0.35,0.00,0.00,0.00,0.00,9.33
Neolithic_Lithuania_Narva_culture_(n=4),0.00,0.00,0.00,0.00,21.15,78.32,0.06,0.00,0.00,0.04,0.00,0.43
MN_Vinca_culture_(n=6),0.00,0.05,2.99,0.06,51.34,0.98,0.14,0.14,18.20,0.00,25.77,0.31
LN_Lengyel_culture_(n=8),0.00,0.06,3.98,0.00,51.67,3.60,0.00,0.02,11.19,0.00,29.36,0.11
LN_Tisza-Sopot_culture_(n=11),0.00,0.01,2.26,0.19,53.02,3.15,0.02,0.00,13.69,0.30,27.18,0.19
Middle_Neolithic_Sicily_(n=10),0.00,0.00,3.76,0.00,55.03,3.82,0.00,0.07,11.77,0.00,25.52,0.03
Middle_Neolithic_Sardinia_(n=10),0.00,0.00,4.37,1.35,67.53,2.79,0.00,0.13,7.55,0.12,16.03,0.12
Middle_Neolithic_France_(n=19),0.00,0.06,4.04,0.24,62.41,9.46,0.05,0.13,8.41,0.04,15.02,0.15
Neolithic_Britain_(n=62),0.00,0.07,4.07,0.28,65.93,13.23,0.08,0.07,7.13,0.20,8.68,0.25
Middle_Late_Neolithic_Spain_(n=12),0.00,0.11,3.94,0.29,67.66,9.90,0.28,0.03,7.06,0.29,10.09,0.35
Middle-Late_Neolithic_Portugal_(n=4),0.00,0.46,4.19,0.53,68.23,11.53,0.02,0.46,6.58,0.40,6.92,0.70
Late_Neolithic_Switzerland_(n=58),0.52,0.13,4.08,0.19,63.95,11.13,0.03,0.02,7.00,0.19,12.71,0.06
Megalithic_Europe_(n=24),0.00,0.02,3.77,0.25,62.37,13.97,0.05,0.43,7.32,0.37,10.86,0.59
MN_Westphalia_(Megalithic_Wartberg)_(n=6),0.00,0.00,1.29,0.65,53.72,42.20,0.00,0.27,0.68,0.32,0.00,0.86
Khvalynsk_culture_(n=3),26.10,5.95,0.00,0.15,0.00,66.48,0.55,0.00,0.00,0.00,0.37,0.40
Chalcolithic_Pontic_Steppe_(n=3),36.31,2.64,0.00,0.00,0.00,48.76,2.57,0.00,0.00,0.00,8.54,1.18
Botai_culture_(n=3),20.42,27.26,0.00,2.16,0.00,43.87,4.87,0.00,0.00,1.31,0.00,0.11
CA_Afanasievo_culture_(n=5),24.19,1.31,0.00,0.03,9.45,62.36,0.32,0.07,0.00,0.04,1.93,0.28
Chalcolithic_Northwest_Caucasus_(n=3),23.32,0.00,0.74,0.31,0.96,11.65,0.26,0.00,3.70,0.70,56.91,1.44
Chalcolithic_Azerbaijan_(n=4),17.37,0.00,2.29,0.71,12.06,0.70,0.74,0.62,16.84,0.41,47.98,0.27
Chalcolithic_Anatolia_(n=35),8.77,0.05,1.54,0.16,17.49,0.97,0.36,0.13,17.88,0.12,52.11,0.41
Chalcolithic_North_Levant_(n=6),0.00,0.00,3.09,0.12,26.99,0.00,0.11,0.00,22.78,0.26,46.53,0.13
Chalcolithic_Israel,0.00,0.00,5.47,0.28,18.98,0.00,0.01,1.07,36.61,0.12,37.31,0.15
Chalcolithic_Bulgaria_(n=9),0.00,0.00,3.62,0.03,48.06,5.72,0.00,0.00,13.72,0.00,28.84,0.01
Chalcolithic_Romania_(n=1),0.00,0.00,0.00,0.24,43.99,53.43,0.00,0.09,0.00,0.00,0.00,2.25
CA_Remedello_culture_(n=3),0.00,0.00,0.78,0.71,69.04,11.78,0.00,0.00,5.18,0.00,11.80,0.72
Globular_Amphora_culture_(n=6),0.00,0.14,2.10,0.00,62.55,19.90,0.00,0.00,6.42,0.01,8.72,0.16
Middle_Chalcolithic_Hungary_(n=9),0.00,0.06,2.59,0.00,54.30,4.98,0.01,0.21,11.41,0.09,26.19,0.16
Late_Chalcolithic_Baden_culture_(n=14),0.00,0.01,3.30,0.10,54.14,7.69,0.00,0.02,11.04,0.13,23.26,0.32
Chalcolithic_Italy_(n=5),0.00,0.00,4.37,0.19,60.14,2.99,0.00,0.00,8.70,0.00,23.19,0.42
Chalcolithic_BB_Sardinia_(n=10),0.00,0.05,7.10,0.20,62.40,4.58,0.00,1.41,8.67,0.08,14.69,0.83
Chalcolithic_Spain_(n=60),0.67,0.18,3.55,0.44,66.83,14.83,0.42,0.30,5.23,0.18,6.91,0.46
Chalcolithic_Portugal_(n=11),0.00,0.67,4.28,0.45,65.01,11.91,0.76,1.21,5.55,0.48,8.81,0.86
Bell_Beaker_Iberia_(n=11),0.41,0.03,2.98,0.14,68.83,13.98,0.95,0.15,3.37,0.53,8.33,0.31
Bell_Beaker_Gaul_(n=13),8.61,0.65,1.22,0.24,38.28,39.03,0.77,0.52,3.24,0.08,7.02,0.33
Bell_Beaker_Bavaria/Saxony_(n=20),8.93,1.10,0.71,0.27,35.12,40.72,0.79,0.30,1.46,0.17,9.66,0.78
Bell_Beaker_Czechia_(n=15),8.03,0.49,0.54,0.03,34.19,45.22,0.45,0.10,1.12,0.12,9.28,0.43
Bell_Beaker_Hungary_(n=6),9.44,0.72,1.14,0.40,36.30,32.38,0.21,0.19,4.16,0.00,14.09,0.98
Bell_Beaker_Poland_(n=6),9.04,1.19,0.23,0.14,38.46,36.83,0.21,0.16,1.73,0.00,11.13,0.89
Bell_Beaker_Netherlands_(n=7),13.47,0.91,0.00,0.04,30.87,49.92,1.00,0.17,0.02,0.01,2.72,0.86
Bell_Beaker_Britain_(n=27),12.57,0.74,0.15,0.13,34.10,47.22,0.84,0.37,0.31,0.18,2.76,0.65
Kura-Araxes_culture_(n=8),23.11,0.73,1.17,0.01,5.83,6.92,0.09,0.33,9.87,0.00,51.11,0.83
Early_Bronze_Age_Jordan_(n=3),3.70,1.96,1.80,2.59,16.66,0.07,0.03,2.56,34.26,0.00,36.36,0.00
EMBA_Greece_(n=6),2.31,0.28,2.82,0.14,34.82,9.08,0.02,0.08,10.81,0.49,37.34,1.82
Minoan_Greece_(n=10),1.24,0.05,2.80,0.09,40.35,0.07,0.00,0.00,13.79,0.29,41.27,0.04
Maykop_culture_(n=16),27.32,3.15,0.44,0.11,3.81,20.03,2.14,0.10,5.14,0.02,36.78,0.95
Yamna_culture_(n=16),27.42,2.50,0.00,0.12,3.38,57.21,1.90,0.04,0.00,0.00,6.77,0.68
Eastern_Corded_Ware_(n=14),16.45,1.20,0.00,0.00,17.75,59.38,1.23,0.38,0.00,0.00,2.67,0.94
Western_Corded_Ware_(n=17),14.35,0.78,0.06,0.06,22.27,55.22,0.50,0.04,0.15,0.35,5.47,0.75
Battle-Axe_culture_(n=3),12.01,0.59,0.00,0.00,29.41,52.60,1.01,0.10,0.00,0.00,3.25,1.03
EBA_Fatyanovo_culture_(n=18),14.71,1.13,0.42,0.34,23.58,52.50,1.46,0.36,0.06,0.12,4.09,1.21
EMBA_Poltavka_culture_(n=8),24.61,3.15,0.00,0.00,9.02,55.88,1.84,0.14,0.36,0.00,4.47,0.54
EMBA_Catacomb_culture_(n=4),28.50,2.40,0.00,0.09,2.43,57.07,1.42,0.00,0.00,0.00,7.10,1.00
MBA_Sintashta_culture_(n=4),14.63,0.10,0.10,0.00,27.86,55.95,0.00,0.00,0.00,0.00,1.05,0.33
EBA_Unetice_culture_(n=18),8.09,0.76,0.61,0.09,30.84,53.50,0.40,0.23,0.29,0.14,4.80,0.25
MBA_Tumulus_culture_(n=4),5.46,0.09,1.28,0.49,38.88,40.01,0.78,0.09,1.86,0.07,10.16,0.84
Early_Bronze_Age_Serbia_(n=23),1.83,0.25,1.20,0.24,37.85,36.37,0.44,0.16,4.51,0.10,16.53,0.51
Early_Bronze_Age_Britain_(n=28),11.99,0.65,0.40,0.43,34.02,46.75,0.72,0.21,0.28,0.08,3.35,1.11
Early_Bronze_Age_Iberia_(n=7),3.84,0.22,2.77,0.76,54.51,24.30,0.87,0.24,3.43,1.00,7.06,0.99
Mycenaean_Greece_(n=4),2.09,0.31,2.85,0.36,38.17,7.57,0.13,0.25,9.98,0.42,37.10,0.80
Bronze_Age_Sicily_(n=15),0.40,0.28,3.21,0.18,48.14,9.71,0.19,0.00,9.88,0.20,27.52,0.27
Nuragic_Sardinia_(n=13),0.00,0.00,4.03,0.36,66.71,5.81,0.07,0.03,8.09,0.05,14.64,0.23
Middle-Late_Bronze_Age_Britain_(n=24),11.28,0.63,0.25,0.18,36.18,44.97,1.05,0.14,0.09,0.04,4.37,0.82
Early_Bronze_Age_Swabia_(n=24),7.79,0.63,1.26,0.44,40.93,37.99,0.74,0.22,1.73,0.26,7.55,0.45
Early_Bronze_Age_Southern_France_(n=5),1.20,0.35,0.17,0.37,50.83,30.77,0.19,0.78,2.26,0.00,12.74,0.33
Early_Bronze_Age_Anatolia_(n=4),9.53,0.00,1.96,0.09,14.18,0.00,0.15,0.32,19.93,0.06,53.10,0.68
Early-Middle_Bronze_Age_North_Levant_(n=9),8.77,0.00,3.09,0.37,12.70,0.24,0.55,0.54,26.16,0.13,47.13,0.31
Middle-Late_Bronze_Age_North_Levant_(n=24),11.47,0.21,3.35,0.20,12.45,3.12,0.68,0.45,22.43,0.21,45.27,0.15
Middle_Bronze_Age_Anatolia_(n=2),5.22,0.00,0.00,0.00,29.43,3.32,0.00,0.11,12.40,0.00,48.94,0.58
Middle-Late_Bronze_Age_Hittites_(n=2),9.37,3.22,0.80,0.00,16.48,8.51,0.00,0.00,13.03,3.32,44.46,0.83
Middle_Bronze_Age_North_Alps_(n=7),7.65,0.38,0.15,0.04,40.96,35.90,0.95,0.22,1.24,0.25,11.46,0.80
Middle_Late_Bronze_Age_Italy_(n=9),1.57,0.27,2.20,0.48,51.18,18.07,0.28,0.02,7.78,0.13,17.53,0.49
Middle-Late_Bronze_Age_Spain_(n=38),1.40,0.22,2.80,0.35,56.09,25.24,0.44,0.17,3.45,0.30,9.06,0.48
Middle_Bronze_Age_Portugal_(n=4),0.58,0.14,3.24,0.53,57.27,23.19,0.58,0.01,5.06,0.35,8.26,0.79
Bronze_Age_Germany_(n=26),8.37,0.70,0.79,0.34,38.03,41.31,0.58,0.33,1.30,0.28,7.50,0.47
Nordic_Bronze_Age_(n=14),5.79,0.00,0.17,0.80,37.49,53.80,0.07,0.00,0.08,0.00,1.36,0.44
Middle_Bronze_Age_North_Caucasus_(n=7),28.78,2.62,0.00,0.31,2.06,52.67,0.93,0.12,0.00,0.00,11.30,1.21
Late_Bronze_Age_North_Caucasus_(n=4),26.72,0.93,0.00,0.00,2.39,25.10,1.33,0.07,1.70,0.16,40.77,0.83
Middle-Late_Bronze_Age_Hungary_(n=12),0.70,0.00,0.41,0.02,44.26,41.40,0.29,0.11,1.52,0.12,10.92,0.25
Bronze_Age_Illyrians,4.87,0.27,0.93,0.48,37.82,25.19,0.00,0.00,5.57,0.00,24.10,0.78
MBA_Andronovo_culture_(n=3),15.80,3.46,0.00,1.55,19.95,57.67,0.26,0.00,0.00,0.00,1.07,0.24
LBA_Karasuk_culture_(n=7),15.10,23.27,0.00,0.00,10.87,40.85,0.92,0.01,0.00,8.54,0.02,0.42
LBA_South_Siberia_(n=4),8.54,20.93,0.00,0.26,17.73,44.02,0.23,0.00,0.53,6.12,1.29,0.36
LBA_Srubna_culture_(n=27),18.44,2.39,0.16,0.24,19.92,53.42,1.13,0.31,0.05,0.03,3.40,0.52
Baltic_Bronze_Age_(n=12),2.62,0.66,0.24,0.36,15.25,74.50,1.04,0.56,0.03,0.00,3.86,0.88
Bronze_Age_Estonia_(n=16),2.02,2.00,0.48,0.23,14.95,74.85,0.57,0.60,0.05,0.25,2.92,1.08
Bronze_Age_Kola_peninsula_(n=6),7.02,38.04,0.00,0.60,0.00,44.58,1.85,0.08,0.00,7.38,0.00,0.45
Iron_Age_Iberia_(n=22),3.02,0.85,2.28,0.28,54.07,27.53,0.82,0.19,2.53,0.23,7.39,0.80
Late_Bronze_Age_Israel_(n=3),8.72,0.00,5.40,0.18,11.54,3.12,0.00,0.17,27.17,0.00,43.57,0.13
Iron_Age_Armenia_(n=7),22.61,0.21,0.28,0.19,10.41,22.97,0.05,0.00,5.13,0.00,37.60,0.54
Iron_Age_&_Hellenistic_Egypt_(n=3),0.89,0.27,8.95,0.32,14.51,0.00,0.11,6.41,32.82,0.02,35.69,0.00
Italian_Greeks_(n=2),6.88,0.00,3.78,0.50,27.23,11.24,0.00,0.22,13.20,0.00,36.92,0.01
Etruscans_(n=48),2.01,0.17,2.58,0.31,45.20,23.06,0.24,0.22,5.97,0.26,19.55,0.45
Villanovans_(n=2),3.29,0.99,2.09,0.00,41.12,24.06,0.00,0.00,5.45,0.00,22.68,0.20
Latins_(n=4),3.10,0.41,1.38,0.20,47.83,24.48,0.40,0.04,2.68,0.00,19.26,0.25
Imperial-age_Latium_(East_Med_immigrants)_(n=46),8.39,0.14,3.33,0.21,24.69,8.66,0.26,0.54,14.86,0.14,38.36,0.43
Imperial-age_Tuscany_(n=4),5.52,0.55,4.06,0.49,31.41,12.42,0.53,0.44,12.56,0.01,31.84,0.19
Imperial-age_Marche_(n=2),8.03,0.24,2.22,0.79,30.54,15.60,0.00,0.00,10.52,0.00,32.08,0.00
Hallstatt_Celts_(n=2),3.82,0.22,1.23,0.15,40.78,38.12,0.11,0.08,2.97,0.57,11.39,0.72
La_Tène_Celts_(n=55),5.92,0.45,0.68,0.30,37.25,40.41,0.36,0.19,2.21,0.11,11.34,0.79
Iron_Age_Southern_Gaul_(n=8),4.46,0.56,0.60,0.48,46.76,34.42,0.56,0.00,2.77,0.60,7.92,0.87
Iron_Age_Northeastern_Gaul_(n=24),5.54,0.52,1.38,0.27,39.55,38.38,0.62,0.26,2.40,0.16,10.41,0.48
Iron_Age_Northern_Gaul_(n=2),8.25,0.00,0.00,0.00,42.61,37.76,1.35,0.00,1.46,0.00,7.47,1.11
Early_Iron_Age_Hungary_(n=9),3.07,0.42,0.95,0.36,35.99,38.43,0.17,0.13,4.67,0.01,15.15,0.64
Early_Iron_Age_Slovenia_(n=10),4.49,0.44,1.04,0.12,41.51,31.28,0.21,0.04,3.48,0.00,16.87,0.53
Early_Iron_Age_Croatia_(n=9),5.61,0.12,0.74,0.35,39.91,26.99,0.48,0.17,4.35,0.12,20.80,0.36
Iron_Age_Netherlands_(n=5),9.86,0.36,0.12,0.38,33.68,46.58,1.41,0.24,0.43,0.02,6.70,0.22
Early_Iron_Age_Britain_(n=37),8.98,0.52,0.35,0.34,40.52,41.38,0.54,0.31,0.52,0.17,5.51,0.85
Iron_Age_Britain_(n=4),10.07,0.43,1.14,0.30,39.11,42.94,0.34,0.00,0.20,0.00,4.64,0.84
Iron_Age_Denmark_(n=10),7.60,0.60,0.79,0.41,35.30,48.67,0.38,0.59,1.07,0.43,2.72,1.44
Iron_Age_Norway_(n=6),8.85,3.18,0.16,0.05,29.31,52.73,0.40,0.15,0.03,0.48,3.26,1.44
Iron_Age_Sweden_(n=4),8.70,1.18,0.81,0.26,33.18,50.44,0.49,0.72,1.49,0.00,0.60,2.13
Iron_Age_Estonia_(n=8),2.71,1.76,0.24,0.18,17.89,69.33,0.89,0.36,1.05,0.11,4.48,1.00
Iron_Age_Finland_(n=3),5.23,16.18,0.26,0.71,20.26,53.58,1.39,0.31,0.00,1.92,0.01,0.16
Cimmerians_(n=6),17.57,9.28,0.00,1.02,15.41,38.52,1.99,0.30,0.79,4.21,10.27,0.64
Western_Scythians_(n=28),11.10,4.19,1.03,0.96,23.28,33.27,0.97,0.60,3.60,2.63,17.68,0.71
Eastern_Scythians_(n=12),18.04,18.04,0.02,2.33,6.00,31.64,3.25,0.36,0.71,13.47,5.47,0.68
Sarmatians_(n=14),23.82,8.10,0.15,0.26,11.53,41.41,2.40,0.29,0.18,2.22,8.97,0.67
Tian_Shan_Saka_(n=5),25.93,13.09,0.11,0.35,9.74,35.07,1.32,0.00,0.00,7.80,7.67,0.92
Late_Antiquity_Latium_(n=24),6.54,0.21,3.14,0.20,32.52,17.92,0.30,0.46,10.05,0.10,28.33,0.25
Early_Medieval_Latium_(n=5),4.21,0.19,2.29,0.19,34.59,19.45,0.61,0.43,9.88,0.18,27.42,0.55
Late_Medieval_Latium_(n=16),6.43,0.27,1.77,0.21,33.12,24.00,0.33,0.38,8.11,0.25,24.71,0.42
6th-century_Piedmont_(Italians_only)_(n=7),7.98,0.21,2.80,0.84,29.83,14.91,0.61,0.47,9.99,2.32,29.77,0.27
6th-century_Piedmont_(Italians_&_Lombards)_(n=24),7.80,0.47,1.40,0.44,33.46,32.13,0.37,0.52,4.87,0.75,17.44,0.35
Medieval_Tuscany_(n=10),5.72,0.06,2.04,0.37,32.59,18.68,0.31,0.20,9.94,0.14,29.46,0.50
Medieval_Basilicata_(n=10),7.02,0.71,4.29,0.40,29.74,15.35,0.31,0.48,11.15,1.22,28.76,0.56
Medieval_Foggia_Apulia_(n=5),5.89,0.56,3.82,0.49,27.97,19.28,0.19,0.47,10.48,0.34,29.06,1.44
Roman_Britain_(n=8),10.24,0.15,0.85,0.14,37.33,43.76,0.44,0.23,0.33,0.17,5.38,0.97
Roman_&_Visigothic_Iberia_(n=31),4.55,0.46,6.37,0.25,39.07,23.34,1.00,0.89,7.10,0.33,15.47,1.17
Early_Medieval_Canaries_(n=5),0.00,0.66,30.29,0.56,25.07,2.26,1.09,8.87,15.17,0.20,10.19,5.65
Medieval_Catalonia_Valencia_(n=9),4.57,0.27,4.62,0.16,41.22,26.09,0.68,0.75,5.75,0.55,14.51,0.83
Medieval_Andalusia_(n=14),3.62,0.24,8.84,0.29,33.69,15.78,0.81,3.06,10.12,0.54,15.98,7.02
Suebi_Alemmani_(n=20),8.36,0.62,0.93,0.34,32.06,44.48,0.20,0.31,1.20,0.40,5.05,1.06
Anglo-Saxons_(n=4),10.72,0.33,0.41,0.18,37.05,47.56,0.20,0.21,0.24,0.13,2.28,0.72
Lombards_(n=28),8.38,0.38,0.30,0.17,35.03,46.38,0.35,0.23,1.05,0.06,7.26,0.42
Chernyakhiv_culture_Goths_(n=3),9.95,0.37,0.86,0.95,31.29,45.56,0.72,0.32,1.25,0.00,8.38,0.35
Ostrogoths_(n=3),7.92,2.51,1.82,1.28,29.31,39.14,0.73,0.09,0.86,1.73,13.41,1.21
Danish_Vikings_(n=21),7.02,0.56,0.63,0.26,34.29,45.62,0.62,0.45,1.47,0.21,7.80,1.07
Swedish_Vikings_(n=23),6.50,1.09,0.51,0.68,31.07,51.68,0.75,0.43,0.28,0.39,5.16,1.46
Vikings_from_England_(n=28),8.40,0.72,0.57,0.71,35.30,46.60,0.31,0.30,0.91,0.11,4.17,1.91
Vikings_from_Poland_(n=9),4.35,0.31,0.69,0.38,27.39,55.13,0.42,0.34,0.82,0.21,8.68,1.28
Vikings_from_Russia_(n=15),5.28,1.54,0.22,0.56,27.39,53.31,0.70,0.81,1.57,0.80,6.76,1.07
Vikings_from_Ukraine_(n=4),4.39,1.94,0.57,0.64,26.14,53.36,0.10,0.10,0.98,0.22,9.95,1.63
Caucasian_Alans_(n=2),20.70,2.23,0.10,0.00,10.37,24.33,0.07,0.00,3.64,0.00,38.14,0.42
Avars_(n=2),4.96,1.09,0.11,0.00,24.45,55.08,0.69,0.34,1.38,0.00,11.68,0.23
Early_Medieval_Czechs_(n=2),0.92,0.00,0.27,0.00,27.17,65.15,0.00,0.00,0.19,0.00,6.29,0.03
Medieval_Estonia_(n=7),3.28,1.99,0.62,1.64,21.55,65.31,0.45,0.39,0.82,0.17,3.06,0.72
Iron_Age_Kangju_(n=4),25.75,6.42,0.00,0.16,13.08,34.22,1.63,0.00,0.21,2.41,14.45,1.69
Tian_Shan_Huns_(n=8),20.94,17.16,0.00,0.18,8.64,32.97,1.72,0.04,0.00,13.49,4.10,0.76
Mongolian_Xiongnu_(n=5),8.74,15.47,0.12,12.81,2.00,11.56,1.38,0.00,0.11,46.40,0.08,1.31
Iron_Age_Altai_(n=5),14.62,23.01,0.13,2.97,7.58,34.88,0.33,0.00,0.00,13.80,2.40,0.30
Medieval_Steppe_Turks_(n=2),15.51,14.66,0.19,2.02,12.43,27.26,0.00,0.00,0.00,22.40,5.20,0.34

I recommend using the 2WAY function as it takes into account blends of populations. I tested it with modern individuals with parents from different countries and is worked perfectly (exactly 50%-50% from each parent's country). It is a bit slow to calculate though.

FYI, here is where you can find the 2way calculator:

https://www.eupedia.com/forum/threads/42483-Vahaduo-(2way-Calculator-include)
 
Using only Bronze Age samples.

Distance to:Dodecad_K12b-Jovialis
2.0054464570.80% Minoan_Greece_(n=10) + 29.20% Yamna_culture_(n=16)
2.0423534471.00% Minoan_Greece_(n=10) + 29.00% EMBA_Catacomb_culture_(n=4)
2.3752067532.80% Chalcolithic_Azerbaijan_(n=4) + 67.20% Bronze_Age_Illyrians
2.4270918554.20% Chalcolithic_Anatolia_(n=35) + 45.80% Early_Bronze_Age_Swabia_(n=24)
2.5034260525.80% Khvalynsk_culture_(n=3) + 74.20% Minoan_Greece_(n=10)
2.5328455834.40% Middle-Late_Bronze_Age_North_Levant_(n=24) + 65.60% Bronze_Age_Illyrians
2.6037551069.40% Minoan_Greece_(n=10) + 30.60% Middle_Bronze_Age_North_Caucasus_(n=7)
2.7378746582.20% EMBA_Greece_(n=6) + 17.80% EMBA_Catacomb_culture_(n=4)
2.7688921651.40% Chalcolithic_Anatolia_(n=35) + 48.60% Middle_Bronze_Age_North_Alps_(n=7)
2.7939248281.00% EMBA_Greece_(n=6) + 19.00% Middle_Bronze_Age_North_Caucasus_(n=7)
2.8029631718.20% Chalcolithic_Pontic_Steppe_(n=3) + 81.80% EMBA_Greece_(n=6)
2.8073019482.00% EMBA_Greece_(n=6) + 18.00% Yamna_culture_(n=16)
2.8470600471.40% Early_Neolithic_Anatolia_(n=20) + 28.60% Yamna_culture_(n=16)
2.9117837871.60% Early_Neolithic_Anatolia_(n=20) + 28.40% EMBA_Catacomb_culture_(n=4)
2.9394182545.80% Chalcolithic_Anatolia_(n=35) + 54.20% Bell_Beaker_Hungary_(n=6)
2.9972346969.80% Minoan_Greece_(n=10) + 30.20% EMBA_Poltavka_culture_(n=8)
3.0298516978.00% Mycenaean_Greece_(n=4) + 22.00% Middle_Bronze_Age_North_Caucasus_(n=7)
3.0397905948.80% Early_Bronze_Age_Anatolia_(n=4) + 51.20% Middle_Bronze_Age_North_Alps_(n=7)
3.1374721968.80% Early_Neolithic_Greece_(n=3) + 31.20% Middle_Bronze_Age_North_Caucasus_(n=7)
3.1992952481.20% EMBA_Greece_(n=6) + 18.80% EMBA_Poltavka_culture_(n=8)
3.2737001951.20% Chalcolithic_Anatolia_(n=35) + 48.80% Bell_Beaker_Poland_(n=6)
3.2760407570.40% Early_Neolithic_Anatolia_(n=20) + 29.60% EMBA_Poltavka_culture_(n=8)
3.2914208270.00% Early_Neolithic_Anatolia_(n=20) + 30.00% Middle_Bronze_Age_North_Caucasus_(n=7)
3.2984782728.20% CA_Afanasievo_culture_(n=5) + 71.80% Minoan_Greece_(n=10)
3.3314880720.60% EMBA_Catacomb_culture_(n=4) + 79.40% Mycenaean_Greece_(n=4)


Works just the same (y)
 
Distance to: Torziok12b
0.96235572 30.80% Middle_Bronze_Age_North_Alps_(n=7) + 69.20% Late_Medieval_Latium_(n=16)
1.03584430 46.60% Imperial-age_Marche_(n=2) + 53.40% Iron_Age_Northeastern_Gaul_(n=24)
1.12359820 25.40% Iron_Age_Northern_Gaul_(n=2) + 74.60% Late_Medieval_Latium_(n=16)
1.19812924 38.40% Early_Iron_Age_Britain_(n=37) + 61.60% Medieval_Tuscany_(n=10)
1.21708578 40.40% Minoan_Greece_(n=10) + 59.60% Iron_Age_Netherlands_(n=5)
1.28275078 26.00% Early_Bronze_Age_Swabia_(n=24) + 74.00% Late_Medieval_Latium_(n=16)
1.28723505 48.60% Bell_Beaker_Poland_(n=6) + 51.40% Medieval_Tuscany_(n=10)
1.29338977 51.40% MBA_Tumulus_culture_(n=4) + 48.60% Imperial-age_Marche_(n=2)
1.32009497 67.80% Bell_Beaker_Gaul_(n=13) + 32.20% Middle_Bronze_Age_Anatolia_(n=2)
1.32106066 40.80% Bronze_Age_Germany_(n=26) + 59.20% Medieval_Tuscany_(n=10)
1.32271482 38.60% Minoan_Greece_(n=10) + 61.40% Chernyakhiv_culture_Goths_(n=3)
1.33298971 36.80% Iron_Age_Britain_(n=4) + 63.20% Medieval_Tuscany_(n=10)
1.37605878 22.40% Early_Iron_Age_Britain_(n=37) + 77.60% Late_Medieval_Latium_(n=16)
1.42057771 30.40% Bell_Beaker_Poland_(n=6) + 69.60% Late_Medieval_Latium_(n=16)
1.42644518 64.20% Middle_Bronze_Age_North_Alps_(n=7) + 35.80% Italian_Greeks_(n=2)
1.43970424 47.00% Minoan_Greece_(n=10) + 53.00% Battle-Axe_culture_(n=3)
1.44246180 28.60% Iron_Age_Northeastern_Gaul_(n=24) + 71.40% Late_Medieval_Latium_(n=16)
1.54670488 46.20% Imperial-age_Marche_(n=2) + 53.80% Hallstatt_Celts_(n=2)
1.55218859 52.80% Pre-Pottery_Neolithic_Anatolia_(n=14) + 47.20% Western_Corded_Ware_(n=17)
1.58061234 16.00% Pre-Pottery_Neolithic_Anatolia_(n=14) + 84.00% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
1.60735903 46.20% Iron_Age_Northeastern_Gaul_(n=24) + 53.80% Medieval_Tuscany_(n=10)
1.61329492 66.40% Early_Medieval_Latium_(n=5) + 33.60% Roman_Britain_(n=8)
1.62100759 26.80% MBA_Tumulus_culture_(n=4) + 73.20% Late_Medieval_Latium_(n=16)
1.62339551 14.60% Early_Neolithic_Greece_(n=3) + 85.40% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
1.63696416 54.20% Bronze_Age_Illyrians + 45.80% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)


Distance to: Torziok12b
4.93252471 Early_Iron_Age_Croatia_(n=9)
5.32530750 Bronze_Age_Illyrians
6.19887086 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
6.46840011 Late_Medieval_Latium_(n=16)
7.93611996 Villanovans_(n=2)
8.63517805 Early_Iron_Age_Slovenia_(n=10)
8.83276287 Bell_Beaker_Hungary_(n=6)
9.58380926 Medieval_Catalonia_Valencia_(n=9)
9.76980041 Roman_&_Visigothic_Iberia_(n=31)
11.13904394 Early_Bronze_Age_Serbia_(n=23)
11.79564750 Early_Medieval_Latium_(n=5)
11.90092433 Etruscans_(n=48)
12.70354675 Early_Iron_Age_Hungary_(n=9)
13.59802927 Late_Antiquity_Latium_(n=24)
13.63916053 Medieval_Tuscany_(n=10)
13.72095113 Latins_(n=4)
14.38534671 Middle_Bronze_Age_North_Alps_(n=7)
14.46272104 Bell_Beaker_Poland_(n=6)
15.18951941 Medieval_Foggia_Apulia_(n=5)
15.49905158 Hallstatt_Celts_(n=2)
15.64978594 Western_Scythians_(n=28)
15.81361755 Iron_Age_Northeastern_Gaul_(n=24)
16.26212471 Ostrogoths_(n=3)
16.33994186 La_Tène_Celts_(n=55)
17.09693832 MBA_Tumulus_culture_(n=4)
 
I am halph portuguese (probably colonial), but my results show mostly Etruscan/Villanovan or Latin, maybe some italian ancestor that I didn't know yet?

2way

Distance to:ωάννης-Γαβριήλ
4.5485252951.60% Etruscans_(n=48) + 48.40% Bantu_S.E._Pedi
4.5543666652.20% Etruscans_(n=48) + 47.80% Bantu_S.E._Zulu
4.5615845351.60% Etruscans_(n=48) + 48.40% Bantu_S.E._Tswana
4.5860281252.40% Etruscans_(n=48) + 47.60% Bantu_S.E._S.Sotho
4.6804215152.60% Villanovans_(n=2) + 47.40% Bantu_S.E._Zulu
4.7012777852.60% Villanovans_(n=2) + 47.40% Bantu_S.E._S.Sotho
4.7150896252.00% Villanovans_(n=2) + 48.00% Bantu_S.E._Pedi
4.7332542551.80% Villanovans_(n=2) + 48.20% Bantu_S.E._Tswana
4.7796587052.80% Etruscans_(n=48) + 47.20% Bantu_S.W._Herero
4.8002404351.00% Latins_(n=4) + 49.00% Bantu_S.E._Pedi
4.8010695750.80% Latins_(n=4) + 49.20% Bantu_S.E._Tswana
4.8046904654.60% Roman_&_Visigothic_Iberia_(n=31) + 45.40% Bantu_S.W._Herero
4.8100503454.20% Roman_&_Visigothic_Iberia_(n=31) + 45.80% Bantu_S.E._S.Sotho
4.8331001754.00% Roman_&_Visigothic_Iberia_(n=31) + 46.00% Bantu_S.E._Zulu
4.8548292753.20% Villanovans_(n=2) + 46.80% Bantu_S.W._Herero
4.9033822951.40% Latins_(n=4) + 48.60% Bantu_S.E._Zulu
4.9555491451.60% Latins_(n=4) + 48.40% Bantu_S.E._S.Sotho
5.0410565853.40% Roman_&_Visigothic_Iberia_(n=31) + 46.60% Bantu_S.E._Pedi
5.0495201355.60% Roman_&_Visigothic_Iberia_(n=31) + 44.40% Bantu_S.W._Ovambo
5.0767470453.40% Roman_&_Visigothic_Iberia_(n=31) + 46.60% Bantu_S.E._Tswana
5.2159426252.20% Latins_(n=4) + 47.80% Bantu_S.W._Herero
5.3088733553.40% Medieval_Catalonia_Valencia_(n=9) + 46.60% Bantu_S.E._S.Sotho
5.3106395253.20% Medieval_Catalonia_Valencia_(n=9) + 46.80% Bantu_S.E._Zulu
5.3502142853.80% Etruscans_(n=48) + 46.20% Bantu_S.W._Ovambo
5.3610723154.00% Villanovans_(n=2) + 46.00% Bantu_S.W._Ovambo


7way



Target: Dodecad_K12b_ΙωάννηςΓαβριήλ
Distance: 0.6961% / 0.69608470

45.5Bantu_S.W._Herero
38.9Latins_(n=4)
5.4Bell_Beaker_Iberia_(n=11)
3.4Epipaleolithic_Magreb_(Iberomaurusians)_(n=5)
3.1Chalcolithic_Northwest_Caucasus_(n=3)
2.4Amerindian_Proxy
0.9Bhunjia
0.4Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
 
Last edited:
2-Way models: Tried to break them down by era (Mesolithic, Neolithic, Chaclolithic to Early Bronze Age, Middle to Late Bronze Age, Iron Age) and then use all samples for all periods. Thanks again for the work of the team that put these together.

Mesolithic Samples only. Not great, but not surprising. However, Anatolian HG and Caucus HG produces best model which is in line with these 2 populations merging/admixing to produce the Neolithic EEF populations (which studies have shown).

Distance to:PalermoTrapani_ANCESTRY
16.9207675965.80% Mesolithic_Anatolia_(AHG)_(n=1) + 34.20% Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
19.1219788775.80% Mesolithic_Anatolia_(AHG)_(n=1) + 24.20% Mesolithic_Volga-Ural_(n=2)
19.7175621477.20% Mesolithic_Anatolia_(AHG)_(n=1) + 22.80% Late_Mesolithic_Comb_Ceramic_culture_(n=2)
19.8014519176.60% Mesolithic_Anatolia_(AHG)_(n=1) + 23.40% Mesolithic_Northwest_Russia_(n=4)
21.4876363477.40% Mesolithic_Anatolia_(AHG)_(n=1) + 22.60% Mesolithic_Ukraine_(n=7)

Neolithic Samples only, top 5 models. EEF as major source ancestry strongly suggested, consistent with extant DNA studies on modern Italian populations.

Distance to:PalermoTrapani_ANCESTRY
7.8187798581.60% Early_Neolithic_Anatolia_(n=20) + 18.40% Neolithic_Ukraine_(n=12)
8.0785019480.80% Early_Neolithic_Anatolia_(n=20) + 19.20% Neolithic_Latvia_(n=4)
8.4090997081.00% Early_Neolithic_Anatolia_(n=20) + 19.00% Neolithic_Lithuania_Narva_culture_(n=4)
10.0262783681.00% Early_Neolithic_Greece_(n=3) + 19.00% Neolithic_Ukraine_(n=12)
10.3382123880.20% Early_Neolithic_Greece_(n=3) + 19.80% Neolithic_Latvia_(n=4)

Chalcolithic to Early Bronze Age top 5

Distance to:PalermoTrapani_ANCESTRY
3.4210622321.60% Khvalynsk_culture_(n=3) + 78.40% Minoan_Greece_(n=10)
3.5777169775.60% Minoan_Greece_(n=10) + 24.40% Yamna_culture_(n=16)
3.6077891875.80% Minoan_Greece_(n=10) + 24.20% EMBA_Catacomb_culture_(n=4)
3.6874876346.60% Early_Bronze_Age_Southern_France_(n=5) + 53.40% Early-Middle_Bronze_Age_North_Levant_(n=9)
3.7592171445.60% Early_Bronze_Age_Iberia_(n=7) + 54.40% Early_Bronze_Age_Anatolia_(n=4)

Middle to Late Bronze Age

Distance to:PalermoTrapani_ANCESTRY
2.7044719658.00% Middle-Late_Bronze_Age_North_Levant_(n=24) + 42.00% Middle-Late_Bronze_Age_Spain_(n=38)
3.0511519858.40% Middle-Late_Bronze_Age_North_Levant_(n=24) + 41.60% Iron_Age_Iberia_(n=22)
3.7444816058.40% Middle-Late_Bronze_Age_North_Levant_(n=24) + 41.60% Middle_Bronze_Age_Portugal_(n=4)
4.1645989449.20% Middle-Late_Bronze_Age_North_Levant_(n=24) + 50.80% Middle_Late_Bronze_Age_Italy_(n=9)
4.5956644062.80% Bronze_Age_Illyrians + 37.20% Late_Bronze_Age_Israel_(n=3)

Top 5 Models using Iron Ag to Imperial Romane samples

Distance to:PalermoTrapani_ANCESTRY
1.444569155.40% Iron_Age_Armenia_(n=7) + 94.60% Imperial-age_Tuscany_(n=4)
1.4658188467.20% Imperial-age_Tuscany_(n=4) + 32.80% Imperial-age_Marche_(n=2)
1.7982698431.60% Etruscans_(n=48) + 68.40% Imperial-age_Latium_(East_Med_immigrants)_(n=46)
1.8416782198.20% Imperial-age_Tuscany_(n=4) + 1.80% Iron_Age_Estonia_(n=8)
1.8744181897.80% Imperial-age_Tuscany_(n=4) + 2.20% Iron_Age_Norway_(n=6)

Top 25 2-way models using all the coordinates in Jovialis post #441
Distance to:PalermoTrapani_ANCESTRY
1.209641583.00% Chalcolithic_Pontic_Steppe_(n=3) + 97.00% Imperial-age_Tuscany_(n=4)
1.2740769512.60% Pre-Pottery_Neolithic_Levant_(n=15) + 87.40% Imperial-age_Marche_(n=2)
1.277346253.00% Middle_Bronze_Age_North_Caucasus_(n=7) + 97.00% Imperial-age_Tuscany_(n=4)
1.317036692.80% EMBA_Catacomb_culture_(n=4) + 97.20% Imperial-age_Tuscany_(n=4)
1.343873722.80% Yamna_culture_(n=16) + 97.20% Imperial-age_Tuscany_(n=4)
1.424758362.80% EMBA_Poltavka_culture_(n=8) + 97.20% Imperial-age_Tuscany_(n=4)
1.4290287196.00% Imperial-age_Tuscany_(n=4) + 4.00% Iron_Age_Kangju_(n=4)
1.432469372.60% CA_Afanasievo_culture_(n=5) + 97.40% Imperial-age_Tuscany_(n=4)
1.433974782.20% Khvalynsk_culture_(n=3) + 97.80% Imperial-age_Tuscany_(n=4)
1.444569155.40% Iron_Age_Armenia_(n=7) + 94.60% Imperial-age_Tuscany_(n=4)
1.4658188467.20% Imperial-age_Tuscany_(n=4) + 32.80% Imperial-age_Marche_(n=2)
1.5005010770.20% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 29.80% Medieval_Catalonia_Valencia_(n=9)
1.5068574296.60% Imperial-age_Tuscany_(n=4) + 3.40% Sarmatians_(n=14)
1.5456794894.80% Imperial-age_Tuscany_(n=4) + 5.20% Caucasian_Alans_(n=2)
1.5565348045.60% Middle-Late_Bronze_Age_North_Levant_(n=24) + 54.40% Etruscans_(n=48)
1.569834933.80% Late_Bronze_Age_North_Caucasus_(n=4) + 96.20% Imperial-age_Tuscany_(n=4)
1.573727344.20% Maykop_culture_(n=16) + 95.80% Imperial-age_Tuscany_(n=4)
1.5893843321.60% Iron_Age_Iberia_(n=22) + 78.40% Imperial-age_Latium_(East_Med_immigrants)_(n=46)
1.604632302.80% LBA_Srubna_culture_(n=27) + 97.20% Imperial-age_Tuscany_(n=4)
1.6131355696.80% Imperial-age_Tuscany_(n=4) + 3.20% Tian_Shan_Saka_(n=5)
1.621899312.60% Eastern_Corded_Ware_(n=14) + 97.40% Imperial-age_Tuscany_(n=4)
1.6247346576.60% Italian_Greeks_(n=2) + 23.40% Roman_&_Visigothic_Iberia_(n=31)
1.6378047771.40% Imperial-age_Tuscany_(n=4) + 28.60% Medieval_Basilicata_(n=10)
1.6505651774.40% Imperial-age_Tuscany_(n=4) + 25.60% 6th-century_Piedmont_(Italians_only)_(n=7)
1.6592473396.60% Imperial-age_Tuscany_(n=4) + 3.40% Cimmerians_(n=6)
 
Last edited:
Some additional ones to test. Problem: The forum software creates empty spaces where there are none. If i copy the values into Vahaduo from text editor no problem, but i cannot post them here without the apperance of random empty spaces. Those empty spaces do not appear in "Your Message". Only when I do a post. Any idea how to fix?

Afontova_Gora,25.27,13.04,0.00,0.00,0.00,55.40,6.29,0.00,0.00,0.00,0.00,0.00
Early_Eastern_Fertile_Crescent_Neolithic,68.14,0.00,0.00,0.00,0.00,0.00,7.92,0.00,4.29,0.00,17.00,2.65
Goyet,2.24,3.18,0.64,5.78,28.30,27.54,21.56,2.23,3.27,3.43,0.00,1.82
Grotte_du_Bichon,0.00,0.00,0.00,0.84,32.06,66.64,0.00,0.00,0.00,0.00,0.00,0.47
Baalberg,0.00,0.00,3.00,0.00,62.52,10.97,0.00,0.00,11.45,0.00,12.07,0.00
Neolithic_Balkans,0.00,0.00,1.66,0.00,53.42,0.00,0.00,0.00,10.71,0.03,33.98,0.19
Latvia_HG,0.00,0.98,0.00,0.51,16.29,81.78,0.00,0.00,0.00,0.00,0.00,0.43
Cardial_Pottery,0.00,0.00,1.67,0.00,58.53,0.79,0.00,0.00,12.50,0.00,26.36,0.16
Cheddar_Man,0.00,1.11,0.00,0.00,17.46,81.43,0.00,0.00,0.00,0.00,0.00,0.00
Late_Neolithic_Denmark,9.45,1.97,1.42,0.00,30.49,48.33,0.25,1.44,0.00,0.00,5.35,1.30
Egyptian_Mummies,0.41,1.02,9.59,0.00,11.77,0.00,0.03,4.45,35.25,0.09,37.40,0.00
EHG,8.50,9.38,0.00,0.00,0.00,80.92,1.12,0.00,0.00,0.00,0.00,0.07
El-Miron,0.00,0.68,0.00,7.41,33.07,51.03,6.77,0.00,0.00,0.03,0.00,1.00
Ertebölle,0.00,0.00,0.00,0.10,26.32,72.16,0.00,1.41,0.00,0.00,0.00,0.00
Mesolithic_France,0.00,0.00,0.00,0.46,32.83,65.70,0.00,0.00,0.00,0.00,0.00,1.00
Funnel_Beaker,0.00,0.00,0.00,0.05,65.01,29.49,0.00,0.00,4.95,0.00,0.46,0.05
Gravettian_Krems,0.00,1.95,1.30,4.56,32.75,40.21,13.34,2.27,1.16,2.47,0.00,0.00
Guanches,0.00,0.00,30.22,0.58,27.08,1.47,0.98,7.59,16.84,0.00,10.32,4.92
Hungary_HG,0.00,0.00,0.00,0.00,2.65,77.20,0.15,0.00,0.00,0.00,0.00,0.00
Neolithic_Ireland,0.00,0.00,1.41,0.00,70.60,13.81,0.00,0.00,7.10,0.00,6.92,0.15
Mesolithic_Italy,0.00,0.00,0.00,0.00,38.35,61.46,0.19,0.00,0.00,0.00,0.00,0.00
Karanovo,0.00,0.00,0.04,0.00,50.83,2.12,0.00,0.00,13.86,0.00,32.09,1.05
Kostenki,12.23,3.47,1.12,6.56,21.17,29.82,15.91,2.90,5.25,0.00,0.00,1.56
Kumsay,35.55,12.52,0.00,0.00,0.00,47.93,3.76,0.00,0.00,0.00,0.00,0.25
La-Brana,0.00,0.00,0.00,13.10,33.06,53.84,0.00,0.00,0.00,0.00,0.00,0.00
Lengynel,0.00,0.00,0.10,0.00,51.06,46.64,0.00,0.00,0.26,0.00,0.00,1.94
Western_Linear_Pottery,0.00,0.00,2.02,0.00,53.23,0.00,0.00,0.00,11.42,0.12,33.21,0.00
Loschbour,0.00,0.00,0.00,0.00,28.51,70.71,0.78,0.00,0.00,0.00,0.00,0.00
Maglemose,0.00,0.00,0.00,0.00,13.69,85.17,0.00,0.00,0.00,0.55,0.00,0.59
Maikop,25.08,0.00,0.00,0.00,2.72,9.36,0.00,0.00,5.40,0.00,57.44,0.00
Mal_Ta_Buret,25.71,14.00,0.00,0.00,0.00,46.87,13.28,0.00,0.00,0.00,0.00,0.13
Neolithic_Atlantic,0.00,0.23,3.13,0.12,73.11,12.44,0.04,0.00,6.11,0.00,4.76,0.05
Neolithic_Scotland,0.00,0.00,3.93,0.00,69.16,14.15,0.00,0.00,8.12,0.00,4.64,0.00
Mesolithic_Germany,0.00,0.00,0.00,0.00,26.12,73.52,0.00,0.36,0.00,0.00,0.00,0.00
Mesolithic_Ireland,0.00,0.00,0.00,0.00,30.41,69.21,0.00,0.00,0.00,0.00,0.00,0.38
Mesolithic_Spain,0.00,0.00,0.00,5.34,33.58,53.32,6.65,0.00,0.00,0.00,0.00,1.11
Michelsberg,0.00,0.00,4.34,0.00,64.60,10.52,0.00,0.00,6.36,0.00,14.18,0.00
Motala_HG,0.00,2.53,0.00,0.00,7.45,89.61,0.00,0.15,0.00,0.00,0.00,0.26
Neolithic_Cambridgeshire,0.00,0.00,0.00,0.10,79.05,10.79,0.00,0.00,6.51,0.00,3.53,0.03
Norway_HG,0.00,6.43,0.00,0.06,9.61,81.95,0.38,0.00,0.00,0.00,0.00,1.58
Pestera_Muierii,3.55,3.38,3.36,4.58,24.78,30.69,14.27,3.75,6.14,1.97,0.00,3.08
Picts,8.36,0.00,0.90,0.00,41.64,45.19,0.00,0.00,0.00,0.00,3.78,0.13
Pitted_Ware,0.00,0.63,0.00,1.36,29.63,67.63,0.00,0.00,0.00,0.00,0.00,0.75
Potapovka,21.11,1.60,0.00,0.00,14.99,54.24,0.25,0.00,0.00,0.00,7.31,0.51
Rössen,0.00,0.00,3.12,0.53,56.05,9.30,0.00,0.02,10.81,0.00,20.17,0.00
Salkhit_Paleolithic_Mongolia,5.41,11.63,1.12,11.15,12.56,12.99,19.47,3.24,2.62,14.59,2.88,2.36
Shulaveri_Shomu,14.70,0.00,2.36,0.00,14.27,0.00,0.00,0.00,15.44,0.00,53.23,0.00
Single_Grave,0.00,0.00,9.11,0.00,31.04,45.30,0.00,0.00,1.75,0.00,12.80,0.00
Stroke_Ornament_Pottery,0.00,0.00,5.21,0.00,56.05,0.79,0.00,0.00,11.42,0.21,25.15,1.18
Sunghir,6.64,3.44,3.00,7.23,22.00,30.02,17.59,4.62,3.22,1.72,0.00,0.51
Tarim_Mummies,27.95,17.87,0.01,0.00,0.01,48.55,4.89,0.00,0.01,0.05,0.01,0.66
Ust_Ishim,10.02,2.28,2.84,14.35,6.54,7.33,31.06,7.56,3.21,8.73,0.00,6.10
Neolithic_Varna,0.00,0.00,1.49,0.00,47.16,10.24,0.30,0.00,11.49,0.00,29.33,0.00
Vinca,0.00,0.00,1.29,0.00,53.16,1.33,0.00,0.00,14.57,0.00,29.38,0.27
Yana_Paleolithic,10.18,7.37,0.96,8.46,11.00,24.84,23.03,2.78,2.30,5.13,0.00,3.94
Zlaty_Kun,14.27,3.00,2.71,9.34,3.56,5.47,29.54,6.78,6.78,7.44,4.00,7.10
 
Ancestry experts, what is the magical thing about the Grotta Continenza?

Target: Doggerland
Distance: 0.4751% / 0.47513896
36.7Mesolithic_Italy
27.8Picts
6.3Maikop
5.0Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
4.9Early_Bronze_Age_Southern_France_(n=5)
4.3Early_Medieval_Czechs_(n=2)
4.3Middle-Late_Bronze_Age_Hungary_(n=12)
3.8Potapovka
3.4MBA_Sintashta_culture_(n=4)
3.1Neolithic_Cambridgeshire
0.4Funnel_Beaker

Ancestors of Early Western Steppe population or some kind of weird contamination?

Even if I do not merge them, they are appearing:

Target: Doggerland
Distance: 0.5651% / 0.56507401
31.4Picts
25.7ItalyMeso1
13.1Middle-Late_Bronze_Age_Hungary_(n=12)
8.3Early_Bronze_Age_Southern_France_(n=5)
6.7MBA_Sintashta_culture_(n=4)
4.7Maikop
4.3Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
2.9Potapovka
1.8Neolithic_Cambridgeshire
0.8Early_Medieval_Czechs_(n=2)
0.3Funnel_Beaker

https://www.ebi.ac.uk/ena/browser/view/SAMEA5770191

https://www.ebi.ac.uk/ena/browser/view/SAMEA5770190
 
Some additional ones to test. Problem: The forum software creates empty spaces where there are none. If i copy the values into Vahaduo from text editor no problem, but i cannot post them here without the apperance of random empty spaces. Those empty spaces do not appear in "Your Message". Only when I do a post. Any idea how to fix?

Code:
Afontova_Gora,25.27,13.04,0.00,0.00,0.00,55.40,6.29,0.00,0.00,0.00,0.00,0.00
Early_Eastern_Fertile_Crescent_Neolithic,68.14,0.00,0.00,0.00,0.00,0.00,7.92,0.00,4.29,0.00,17.00,2.65
Goyet,2.24,3.18,0.64,5.78,28.30,27.54,21.56,2.23,3.27,3.43,0.00,1.82
Grotte_du_Bichon,0.00,0.00,0.00,0.84,32.06,66.64,0.00,0.00,0.00,0.00,0.00,0.47
Baalberg,0.00,0.00,3.00,0.00,62.52,10.97,0.00,0.00,11.45,0.00,12.07,0.00
Neolithic_Balkans,0.00,0.00,1.66,0.00,53.42,0.00,0.00,0.00,10.71,0.03,33.98,0.19
Latvia_HG,0.00,0.98,0.00,0.51,16.29,81.78,0.00,0.00,0.00,0.00,0.00,0.43
Cardial_Pottery,0.00,0.00,1.67,0.00,58.53,0.79,0.00,0.00,12.50,0.00,26.36,0.16
Cheddar_Man,0.00,1.11,0.00,0.00,17.46,81.43,0.00,0.00,0.00,0.00,0.00,0.00
Late_Neolithic_Denmark,9.45,1.97,1.42,0.00,30.49,48.33,0.25,1.44,0.00,0.00,5.35,1.30
Egyptian_Mummies,0.41,1.02,9.59,0.00,11.77,0.00,0.03,4.45,35.25,0.09,37.40,0.00
EHG,8.50,9.38,0.00,0.00,0.00,80.92,1.12,0.00,0.00,0.00,0.00,0.07
El-Miron,0.00,0.68,0.00,7.41,33.07,51.03,6.77,0.00,0.00,0.03,0.00,1.00
Ertebölle,0.00,0.00,0.00,0.10,26.32,72.16,0.00,1.41,0.00,0.00,0.00,0.00
Mesolithic_France,0.00,0.00,0.00,0.46,32.83,65.70,0.00,0.00,0.00,0.00,0.00,1.00
Funnel_Beaker,0.00,0.00,0.00,0.05,65.01,29.49,0.00,0.00,4.95,0.00,0.46,0.05
Gravettian_Krems,0.00,1.95,1.30,4.56,32.75,40.21,13.34,2.27,1.16,2.47,0.00,0.00
Guanches,0.00,0.00,30.22,0.58,27.08,1.47,0.98,7.59,16.84,0.00,10.32,4.92
Hungary_HG,0.00,0.00,0.00,0.00,2.65,77.20,0.15,0.00,0.00,0.00,0.00,0.00
Neolithic_Ireland,0.00,0.00,1.41,0.00,70.60,13.81,0.00,0.00,7.10,0.00,6.92,0.15
Mesolithic_Italy,0.00,0.00,0.00,0.00,38.35,61.46,0.19,0.00,0.00,0.00,0.00,0.00
Karanovo,0.00,0.00,0.04,0.00,50.83,2.12,0.00,0.00,13.86,0.00,32.09,1.05
Kostenki,12.23,3.47,1.12,6.56,21.17,29.82,15.91,2.90,5.25,0.00,0.00,1.56
Kumsay,35.55,12.52,0.00,0.00,0.00,47.93,3.76,0.00,0.00,0.00,0.00,0.25
La-Brana,0.00,0.00,0.00,13.10,33.06,53.84,0.00,0.00,0.00,0.00,0.00,0.00
Lengynel,0.00,0.00,0.10,0.00,51.06,46.64,0.00,0.00,0.26,0.00,0.00,1.94
Western_Linear_Pottery,0.00,0.00,2.02,0.00,53.23,0.00,0.00,0.00,11.42,0.12,33.21,0.00
Loschbour,0.00,0.00,0.00,0.00,28.51,70.71,0.78,0.00,0.00,0.00,0.00,0.00
Maglemose,0.00,0.00,0.00,0.00,13.69,85.17,0.00,0.00,0.00,0.55,0.00,0.59
Maikop,25.08,0.00,0.00,0.00,2.72,9.36,0.00,0.00,5.40,0.00,57.44,0.00
Mal_Ta_Buret,25.71,14.00,0.00,0.00,0.00,46.87,13.28,0.00,0.00,0.00,0.00,0.13
Neolithic_Atlantic,0.00,0.23,3.13,0.12,73.11,12.44,0.04,0.00,6.11,0.00,4.76,0.05
Neolithic_Scotland,0.00,0.00,3.93,0.00,69.16,14.15,0.00,0.00,8.12,0.00,4.64,0.00
Mesolithic_Germany,0.00,0.00,0.00,0.00,26.12,73.52,0.00,0.36,0.00,0.00,0.00,0.00
Mesolithic_Ireland,0.00,0.00,0.00,0.00,30.41,69.21,0.00,0.00,0.00,0.00,0.00,0.38
Mesolithic_Spain,0.00,0.00,0.00,5.34,33.58,53.32,6.65,0.00,0.00,0.00,0.00,1.11
Michelsberg,0.00,0.00,4.34,0.00,64.60,10.52,0.00,0.00,6.36,0.00,14.18,0.00
Motala_HG,0.00,2.53,0.00,0.00,7.45,89.61,0.00,0.15,0.00,0.00,0.00,0.26
Neolithic_Cambridgeshire,0.00,0.00,0.00,0.10,79.05,10.79,0.00,0.00,6.51,0.00,3.53,0.03
Norway_HG,0.00,6.43,0.00,0.06,9.61,81.95,0.38,0.00,0.00,0.00,0.00,1.58
Pestera_Muierii,3.55,3.38,3.36,4.58,24.78,30.69,14.27,3.75,6.14,1.97,0.00,3.08
Picts,8.36,0.00,0.90,0.00,41.64,45.19,0.00,0.00,0.00,0.00,3.78,0.13
Pitted_Ware,0.00,0.63,0.00,1.36,29.63,67.63,0.00,0.00,0.00,0.00,0.00,0.75
Potapovka,21.11,1.60,0.00,0.00,14.99,54.24,0.25,0.00,0.00,0.00,7.31,0.51
Rössen,0.00,0.00,3.12,0.53,56.05,9.30,0.00,0.02,10.81,0.00,20.17,0.00
Salkhit_Paleolithic_Mongolia,5.41,11.63,1.12,11.15,12.56,12.99,19.47,3.24,2.62,14.59,2.88,2.36
Shulaveri_Shomu,14.70,0.00,2.36,0.00,14.27,0.00,0.00,0.00,15.44,0.00,53.23,0.00
Single_Grave,0.00,0.00,9.11,0.00,31.04,45.30,0.00,0.00,1.75,0.00,12.80,0.00
Stroke_Ornament_Pottery,0.00,0.00,5.21,0.00,56.05,0.79,0.00,0.00,11.42,0.21,25.15,1.18
Sunghir,6.64,3.44,3.00,7.23,22.00,30.02,17.59,4.62,3.22,1.72,0.00,0.51
Tarim_Mummies,27.95,17.87,0.01,0.00,0.01,48.55,4.89,0.00,0.01,0.05,0.01,0.66
Ust_Ishim,10.02,2.28,2.84,14.35,6.54,7.33,31.06,7.56,3.21,8.73,0.00,6.10
Neolithic_Varna,0.00,0.00,1.49,0.00,47.16,10.24,0.30,0.00,11.49,0.00,29.33,0.00
Vinca,0.00,0.00,1.29,0.00,53.16,1.33,0.00,0.00,14.57,0.00,29.38,0.27
Yana_Paleolithic,10.18,7.37,0.96,8.46,11.00,24.84,23.03,2.78,2.30,5.13,0.00,3.94
Zlaty_Kun,14.27,3.00,2.71,9.34,3.56,5.47,29.54,6.78,6.78,7.44,4.00,7.10

If you go to advanced options, highlight the text and click "code", and it will eliminate the spaces.
 
Distance to:Dodecad_K12b-Jovialis
21.26802530Neolithic_Varna
28.16873622Karanovo
30.47137345Vinca
30.83554118Western_Linear_Pottery
31.02078174Neolithic_Balkans
31.45502821Rössen
32.46632409Shulaveri_Shomu
33.36679937Stroke_Ornament_Pottery
35.21101958Cardial_Pottery
36.29725609Single_Grave
37.35299051Egyptian_Mummies
38.87157959Pestera_Muierii
39.93920255Kostenki
40.12474673Baalberg
40.49818761Guanches
40.89129125Sunghir
41.13386926Michelsberg
41.64825447Goyet
41.67552279Maikop
42.14031087Late_Neolithic_Denmark
42.69086319Picts
43.73410454Gravettian_Krems
45.48236801Salkhit_Paleolithic_Mongolia
46.63561193Yana_Paleolithic
49.15670656Neolithic_Scotland

 
My Top 25 (I used gradient of 100, hard for me to see!). Thanks Doggerland for the coordinates. Some new ones I haven't seen Dodecad 12B coordinates before (i.e. Zaty Kun, Kostinki)

Distance to:PalermoTrapani_ANCESTRY
18.62778033Neolithic_Varna
24.64583129Karanovo
26.88923391Vinca
27.47262820Western_Linear_Pottery
27.75929394Neolithic_Balkans
29.11750504Rössen
30.10667700Stroke_Ornament_Pottery
31.52163225Shulaveri_Shomu
32.01200400Cardial_Pottery
34.21733479Egyptian_Mummies
37.98292116Guanches
38.14343718Baalberg
39.41917681Single_Grave
39.45185547Michelsberg
40.32181296Pestera_Muierii
41.73242145Kostenki
42.54477171Sunghir
42.78794690Goyet
43.20745885Maikop
45.42375480Picts
45.52466694Late_Neolithic_Denmark
45.82132473Gravettian_Krems
45.85509241Salkhit_Paleolithic_Mongolia
47.74471594Neolithic_Scotland
47.87293181Neolithic_Ireland

 
Mine...

Distance to: italouruguayan
4.86379567 64.80% Early_Medieval_Latium_(n=5) + 35.20% Iron_Age_Altai_(n=5)
5.26189133 38.20% LBA_South_Siberia_(n=4) + 61.80% Medieval_Basilicata_(n=10)
5.48588559 39.20% LBA_South_Siberia_(n=4) + 60.80% 6th-century_Piedmont_(Italians_only)_(n=7)
5.58091313 34.20% LBA_Karasuk_culture_(n=7) + 65.80% Early_Medieval_Latium_(n=5)
5.61472196 70.40% Late_Medieval_Latium_(n=16) + 29.60% Iron_Age_Altai_(n=5)
5.82932281 43.80% LBA_South_Siberia_(n=4) + 56.20% Imperial-age_Tuscany_(n=4)
5.93956569 62.20% Villanovans_(n=2) + 37.80% Eastern_Scythians_(n=12)
6.00656928 36.60% Eastern_Scythians_(n=12) + 63.40% Early_Medieval_Latium_(n=5)
6.12282944 37.40% LBA_South_Siberia_(n=4) + 62.60% Late_Antiquity_Latium_(n=24)
6.21140690 33.40% Eastern_Scythians_(n=12) + 66.60% Roman_&_Visigothic_Iberia_(n=31)
6.25728444 35.40% LBA_South_Siberia_(n=4) + 64.60% Medieval_Foggia_Apulia_(n=5)
6.31926771 34.40% LBA_Karasuk_culture_(n=7) + 65.60% Late_Antiquity_Latium_(n=24)
6.33378527 64.80% Late_Antiquity_Latium_(n=24) + 35.20% Iron_Age_Altai_(n=5)
6.34837689 30.80% Eastern_Scythians_(n=12) + 69.20% Late_Medieval_Latium_(n=16)
6.39030617 65.00% Bronze_Age_Illyrians + 35.00% Eastern_Scythians_(n=12)
6.43121442 67.60% Late_Medieval_Latium_(n=16) + 32.40% Medieval_Steppe_Turks_(n=2)
6.45667178 63.80% Early_Medieval_Latium_(n=5) + 36.20% Tian_Shan_Huns_(n=8)
6.47363205 58.40% Etruscans_(n=48) + 41.60% Eastern_Scythians_(n=12)
6.47423214 64.20% Medieval_Tuscany_(n=10) + 35.80% Iron_Age_Altai_(n=5)
6.51939547 35.00% LBA_Karasuk_culture_(n=7) + 65.00% Medieval_Tuscany_(n=10)
6.61272977 38.00% LBA_South_Siberia_(n=4) + 62.00% Medieval_Tuscany_(n=10)
6.62089263 66.80% Bronze_Age_Illyrians + 33.20% Iron_Age_Altai_(n=5)
6.62728430 34.80% Iron_Age_Finland_(n=3) + 65.20% 6th-century_Piedmont_(Italians_only)_(n=7)
6.64261901 34.00% Iron_Age_Finland_(n=3) + 66.00% Medieval_Basilicata_(n=10)
6.64371609 36.80% LBA_South_Siberia_(n=4) + 63.20% Early_Medieval_Latium_(n=5)
 
Distance to: italouruguayan
22.06450090 Pestera_Muierii
24.69293016 Kostenki
24.85900843 Single_Grave
24.92353907 Sunghir
26.86577377 Goyet
27.85746938 Gravettian_Krems
28.11776840 Late_Neolithic_Denmark
30.76491346 Picts
31.79518202 Yana_Paleolithic
31.81235609 Neolithic_Varna
31.96437548 Salkhit_Paleolithic_Mongolia
34.42946703 El-Miron
36.15605205 Mesolithic_Spain
36.48828990 Rössen
37.25880299 Potapovka
37.70810390 La-Brana
39.07483973 Lengynel
39.82630663 Guanches
40.09761589 Karanovo
41.17115859 Vinca
41.51991089 Baalberg
41.75873561 Stroke_Ornament_Pottery
42.83823176 Western_Linear_Pottery
43.06889713 Michelsberg
43.20788585 Neolithic_Balkans
43.68328628 Mesolithic_Italy
44.07311652 Cardial_Pottery
44.09478881 Funnel_Beaker
44.64048387 Zlaty_Kun
45.36168868 Mal_Ta_Buret
45.44488420 Ust_Ishim
46.04009557 Mesolithic_France
46.61005042 Tarim_Mummies
46.76495055 Grotte_du_Bichon
47.27184257 Pitted_Ware
47.62310259 Neolithic_Scotland
47.72193416 Egyptian_Mummies
48.54327348 Neolithic_Ireland
48.57719115 Afontova_Gora
48.90568167 Mesolithic_Ireland
48.96554401 Shulaveri_Shomu
49.46277388 Kumsay
50.11245853 Loschbour
51.37345813 Ertebölle
51.54780888 Neolithic_Atlantic
52.62188803 Mesolithic_Germany
54.41349741 Maikop
57.84064834 Neolithic_Cambridgeshire
60.42030371 Cheddar_Man
60.52341943 Hungary_HG
60.89651386 Latvia_HG
62.13677494 Norway_HG
64.26518031 EHG
64.55789572 Maglemose
69.90873408 Motala_HG
72.90000754 Early_Eastern_Fertile_Crescent_Neolithic
 
Mine when combined:

Distance to:Doggerland
2.28385639Lombards_(n=28)
2.28877697Bell_Beaker_Czechia_(n=15)
2.78870938Danish_Vikings_(n=21)
4.20940613Iron_Age_Netherlands_(n=5)
5.43758218Chernyakhiv_culture_Goths_(n=3)
5.50345346Vikings_from_England_(n=28)
5.79815488Roman_Britain_(n=8)
6.13406880Suebi_Alemmani_(n=20)
6.15432368Bronze_Age_Germany_(n=26)
6.28520485Bell_Beaker_Bavaria/Saxony_(n=20)
6.44443170Middle-Late_Bronze_Age_Britain_(n=24)
7.03029871Iron_Age_Denmark_(n=10)
7.14079827La_Tène_Celts_(n=55)
7.30080817Iron_Age_Britain_(n=4)
7.59755882Late_Neolithic_Denmark
7.64193693Early_Bronze_Age_Britain_(n=28)
7.78760554Anglo-Saxons_(n=4)
7.90611156MBA_Tumulus_culture_(n=4)
8.13084251Early_Iron_Age_Britain_(n=37)
8.20908643Picts
8.34149267Swedish_Vikings_(n=23)
8.39165657Bell_Beaker_Britain_(n=27)
8.78788939Bell_Beaker_Gaul_(n=13)
9.61015088Iron_Age_Northeastern_Gaul_(n=24)
9.61371416EBA_Unetice_culture_(n=18)

Only the additional ones I posted:

Distance to:Doggerland
7.59755882Late_Neolithic_Denmark
8.20908643Picts
13.35216462Single_Grave
16.29555461Mesolithic_Spain
16.43299121El-Miron
19.24814017Mesolithic_Italy
19.31354188La-Brana
19.47944814Lengynel
20.09774117Gravettian_Krems
22.75326790Mesolithic_France
23.65141433Grotte_du_Bichon
25.00876446Pitted_Ware
26.05683787Potapovka
26.14114955Mesolithic_Ireland
27.78961317Pestera_Muierii
27.89103261Loschbour
29.79789590Ertebölle
30.57991498Kostenki
30.93097477Sunghir
31.00622679Mesolithic_Germany
32.57443169Goyet
36.02512457Funnel_Beaker
41.14242944Cheddar_Man
41.97155942Latvia_HG
43.33110199Yana_Paleolithic

Late Neolithic Denmark already has Indo-European introgression.

HGs only:

Distance to:Doggerland
16.29555461Mesolithic_Spain
16.43299121El-Miron
19.24814017Mesolithic_Italy
19.31354188La-Brana
20.09774117Gravettian_Krems
22.75326790Mesolithic_France
23.14602342Mesolithic_West_Europeans_(WHG)_(n=21)
23.65141433Grotte_du_Bichon
25.00876446Pitted_Ware
26.14114955Mesolithic_Ireland
27.78961317Pestera_Muierii
27.89103261Loschbour
29.79789590Ertebölle
30.57991498Kostenki
30.93097477Sunghir
30.98825745Mesolithic_Balkans_HG_(n=43)
31.00622679Mesolithic_Germany
32.57443169Goyet
40.01396506Mesolithic_Baltic_Scandinavia_(SHG)_(n=31)
41.14242944Cheddar_Man
41.97155942Latvia_HG
43.33110199Yana_Paleolithic
44.21436757Afontova_Gora
45.32692357Mal_Ta_Buret
45.87200889Mesolithic_Ukraine_(n=7)
I wonder if this has something to do with the I1 sample from Balma Guilanya and the idea that people migrated from the South into the North again before the Bronze Age. I do not seem to have great affinity to the earlier Scandinavian HGs.

I added it to the list. Wow, didn't expect this:

Distance to:Doggerland
15.55293220Balma_Guilanya_Azilian
16.29555461Mesolithic_Spain
16.43299121El-Miron
19.24814017Mesolithic_Italy
19.31354188La-Brana
20.09774117Gravettian_Krems
22.75326790Mesolithic_France
23.14602342Mesolithic_West_Europeans_(WHG)_(n=21)
23.65141433Grotte_du_Bichon
25.00876446Pitted_Ware
26.14114955Mesolithic_Ireland
27.78961317Pestera_Muierii
27.89103261Loschbour
29.79789590Ertebölle
30.57991498Kostenki
30.93097477Sunghir
30.98825745Mesolithic_Balkans_HG_(n=43)
31.00622679Mesolithic_Germany
32.57443169Goyet
40.01396506Mesolithic_Baltic_Scandinavia_(SHG)_(n=31)
41.14242944Cheddar_Man
41.97155942Latvia_HG
43.33110199Yana_Paleolithic
44.21436757Afontova_Gora
45.32692357Mal_Ta_Buret

Code:
 Balma_Guilanya_Azilian,0.00,0.39,0.00,0.03,35.82,54.35,4.68,0.00,0.00,4.22,0.00,0.51
 
Last edited:
This could be interesting for Non-Europeans and people of mixed descent:

Code:
Neanderthal_Altai,0.00,0.00,0.00,2.63,0.23,3.62,0.00,19.20,0.00,0.00,0.00,74.32
Denisova_Altai,0.00,0.28,0.00,0.15,0.10,1.28,0.00,19.54,0.00,0.76,0.00,77.90
Mota_Ethiopia,1.58,0.75,0.29,0.23,0.00,0.37,1.46,55.98,0.00,1.31,0.00,38.04
Shum_Laka,0.11,0.09,0.00,0.26,0.00,0.10,0.47,28.80,0.00,0.00,0.00,70.17
Malawi_Mesolithic,0.00,0.00,0.00,1.08,1.78,1.23,1.11,46.86,4.94,0.07,2.34,40.60
Vaalkrans_Man,0.00,0.00,0.00,0.73,1.52,0.04,0.53,44.11,2.64,0.00,0.00,50.44
Tanzania_Neolithic,0.30,0.23,0.00,0.52,0.00,0.62,0.66,52.37,0.00,0.00,0.00,45.30
Kenia_Bronze_Age,0.00,0.00,11.14,0.58,0.27,0.00,0.00,51.98,22.82,0.00,7.85,5.36
Ancient_Zambia,0.00,0.00,0.00,2.00,0.00,0.00,0.00,41.63,0.00,0.83,0.00,55.54
Ancient_Papuan,3.45,4.56,0.62,32.29,0.00,0.00,39.33,3.58,1.73,11.26,0.00,3.18
Ancient_Polynesian,0.00,0.00,0.0,55.83,0.00,0.00,20.61,2.84,0.00,20.72,0.00,0.00
Leang_Panninge,7.04,2.43,0.00,16.00,6.30,3.44,39.89,5.50,0.00,13.69,0.00,5.72
Canaanite,8.40,0.00,3.62,1.07,9.13,0.00,0.00,0.88,30.52,0.00,46.38,0.00
Caspian_Sea_Mesolithic,62.85,2.17,0.00,0.00,0.00,1.62,9.06,0.00,6.90,0.00,14.10,3.29
Neolithic_Iran,56.66,0.00,0.00,0.00,0.00,0.00,4.15,0.00,7.64,0.00,30.42,1.13
Chalcolithic_Israel,0.00,0.25,2.99,0.00,14.47,0.00,0.00,1.81,40.95,0.00,39.53,0.00
Mesolithic_Andes,6.70,37.47,0.00,3.32,0.00,14.71,3.10,0.00,0.00,34.52,0.00,0.19
Argentinia_Mesolithic,4.66,35.88,0.00,3.51,0.00,17.46,3.94,0.00,0.00,34.05,0.00,0.49
Clovis_Culture,7.03,33.37,0.00,6.35,0.00,18.42,4.44,0.00,0.00,29.62,0.00,0.76
Kennewick_Man,9.60,36.54,0.00,5.67,0.00,17.59,4.20,0.00,0.00,23.03,0.00,3.37
Mesolithic_Middle_America,7.44,38.17,0.00,4.66,0.00,14.35,4.36,0.00,0.00,30.16,0.00,0.87
Detroit_Bronze_Age,7.69,33.76,0.00,1.50,0.00,20.61,4.11,1.21,0.00,29.99,0.00,1.13
Pre_Pottery_Brazil,6.40,36.71,0.00,2.55,0.00,14.98,6.06,0.00,0.00,32.91,0.00,0.38
Tianyuan,0.00,8.16,0.00,16.94,4.57,7.99,34.88,0.00,0.00,23.78,0.00,3.69
Trans_Baikal_Mesolithic,0.00,48.73,0.00,0.71,0.00,0.00,0.00,0.02,0.03,50.02,0.19,0.30
SamiKola,1.41,18.65,0.00,0.00,12.41,60.96,0.44,0.00,0.20,5.12,0.76,0.06
Paleo_Saqqaq,4.06,45.91,0.28,1.21,0.11,11.62,1.87,0.38,0.00,28.76,0.00,5.80
Yakut_Neolithic,0.00,74.18,0.00,0.00,0.00,0.39,0.31,0.10,0.00,23.91,0.00,1.09
Baikal_Bronze_Age,2.95,54.57,0.00,0.00,0.00,8.98,0.47,0.86,0.00,32.15,0.00,0.04
Baikal_Neolithic,0.00,51.71,0.12,0.00,0.00,0.33,0.40,0.00,0.00,47.13,0.00,0.30
Devils_Gate,0.00,29.83,0.00,1.21,0.00,0.11,0.00,0.44,0.00,68.03,0.00,0.39

Modern Non-Europeans:
Code:
Toubou,0.00,0.00,17.91,0.00,0.65,0.00,0.07,35.58,6.09,0.00,0.00,39.71
West_Bantu,0.00,0.00,0.00,0.00,0.00,0.04,0.00,9.41,0.00,0.06,0.00,90.48
Pygmy,0.00,0.00,0.00,0.00,0.00,0.00,0.00,19.17,0.00,0.00,0.15,80.68
Saharawi,0.00,0.00,38.71,0.00,19.71,0.00,0.00,10.63,16.81,0.00,6.01,8.12
Khomani_San,0.05,0.00,0.00,0.00,0.00,0.00,0.00,36.04,0.00,0.17,0.15,63.60
Bedouin,4.84,0.17,6.68,0.00,8.41,0.90,0.00,4.72,35.51,1.51,32.67,4.58
Berber,0.00,0.00,100.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
Palestine,5.27,0.19,4.98,0.37,9.49,0.32,0.00,8.30,32.42,0.00,35.82,2.84
Druze_Israel,8.90,0.36,1.12,0.00,11.16,2.36,0.21,0.00,21.95,0.00,53.36,0.58
Iraqi_Jew,17.70,0.00,4.11,0.00,11.58,1.82,1.89,0.38,21.17,0.00,41.35,0.00
Kalash_Pakistan,41.18,3.02,0.00,0.00,0.08,17.51,22.27,0.00,1.08,0.00,14.86,0.00
Burushuo,13.35,7.33,0.47,15.53,13.38,15.66,3.23,0.00,6.45,20.69,0.00,3.90
Punjabi_Indian,40.47,0.49,0.00,0.00,0.69,15.28,33.23,0.00,1.62,0.00,8.21,0.00
South_Indian,35.30,0.00,0.45,1.05,0.00,2.08,54.89,0.00,1.59,2.41,1.95,0.29
Mamanwa_Negrito,0.00,3.11,0.25,55.89,2.32,3.12,20.36,0.00,0.00,14.14,0.00,0.82
Aboriginal_Austraian,3.28,5.91,0.00,22.76,0.78,3.72,43.16,4.99,0.70,9.51,0.00,5.19
Andaman,2.48,4.00,1.33,22.96,1.11,1.05,49.80,3.29,0.77,10.81,0.00,2.39
Karitiana,1.08,35.00,0.00,6.15,0.00,22.14,4.81,0.00,0.00,30.82,0.00,0.00
Maya,8.47,33.09,0.00,4.32,0.00,18.22,4.93,00.00,0.00,30.75,0.00,0.22
Modern_Native_American,6.61,35.33,0.00,4.31,0.00,21.77,0.00,0.00,0.00,31.82,0.00,0.16
Pueblo_Native,0.00,61.80,0.00,0.00,7.74,0.00,0.00,0.00,1.04,29.42,0.00,0.00
Surui,8.86,35.08,0.00,4.73,0.00,13.73,6.22,0.00,0.00,31.38,0.00,0.00
Yakut,3.29,47.71,0.00,0.54,5.46,16.06,0.98,0.00,0.01,21.38,4.57,0.00
Japanese,0.00,3.51,0.00,10.75,0.00,0.00,0.80,0.00,0.00,84.95,0.00,0.00
Khanty,9.83,44.07,0.00,0.00,2.01,34.16,0.73,0.00,0.05,9.11,0.00,0.05
Chinese,0.00,3.90,0.00,25.85,0.00,0.00,4.58,0.00,0.00,65.67,0.00,0.00
Mongolian,3.45,44.30,0.00,0.57,2.04,2.97,0.00,0.00,0.00,45.41,1.25,0.00
 
Thank you , Doggerland!


Distance to: italouruguayan
43.72673782 SamiKola
47.54004312 Kennewick_Man
48.36862309 Detroit_Bronze_Age
48.40687348 Clovis_Culture
50.07160772 Canaanite
51.32959283 Chalcolithic_Israel
52.04195807 Mesolithic_Middle_America
52.10775374 Argentinia_Mesolithic
52.37384844 Tianyuan
52.49275760 Pre_Pottery_Brazil
53.71086855 Mesolithic_Andes
54.06173878 Leang_Panninge
56.93728919 Paleo_Saqqaq
62.83360168 Ancient_Papuan
64.70930459 Neolithic_Iran
65.23196226 Baikal_Bronze_Age
66.46133086 Kenia_Bronze_Age
67.78410581 Caspian_Sea_Mesolithic
70.93168403 Malawi_Mesolithic
71.84999165 Ancient_Polynesian
73.49083888 Baikal_Neolithic
73.50152856 Trans_Baikal_Mesolithic
76.08621426 Vaalkrans_Man
77.23369213 Mota_Ethiopia
78.18623408 Devils_Gate
78.55604687 Tanzania_Neolithic
78.68879781 Ancient_Zambia
80.68694628 Yakut_Neolithic
83.91630771 Neanderthal_Altai
84.15457266 Shum_Laka
87.68223879 Denisova_Altai


Distance to: italouruguayan
31.45177261 Burushuo
42.81362283 Iraqi_Jew
45.73918123 Palestine
46.01977836 Bedouin
48.64783243 Saharawi
48.78728318 Khanty
48.84053747 Maya
49.63879430 Druze_Israel
49.78147748 Kalash_Pakistan
49.80124597 Karitiana
50.14384808 Modern_Native_American
51.21612734 Yakut
51.22317347 Surui
55.55317813 Punjabi_Indian
59.69892043 Aboriginal_Austraian
65.33072937 Andaman
66.02548296 Mongolian
66.63176570 Toubou
68.53245363 Mamanwa_Negrito
70.05532885 Pueblo_Native
71.91597597 South_Indian
76.63387045 Chinese
81.82053043 Khomani_San
89.91702620 Japanese
90.42599571 Pygmy
97.70978354 West_Bantu
105.00071571 Berber
 
Thank you, Doggerland!


Target: Dodecad_K12b_ΙωάννηςΓαβριήλ
Distance: 1.0762% / 1.07616100
38.5Latins_(n=4)
27.7Mandenka
14.0Pygmy
5.6Bell_Beaker_Iberia_(n=11)
4.2Shum_Laka
3.0Chalcolithic_Northwest_Caucasus_(n=3)
2.8Yakut_Neolithic
2.2Epipaleolithic_Magreb_(Iberomaurusians)_(n=5)
0.8Bhunjia
0.7Tanzania_Neolithic
0.4Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
0.1Bronze_Age_Kola_peninsula_(n=6)



Target: Dodecad_K12b_ΙωάννηςΓαβριήλ
Distance: 1.3295% / 1.32953506 | R7P

45.5Bantu_S.W._Herero
38.6Latins_(n=4)
5.7Bell_Beaker_Iberia_(n=11)
3.7Chalcolithic_Northwest_Caucasus_(n=3)
3.5Epipaleolithic_Magreb_(Iberomaurusians)_(n=5)
3.0Yakut_Neolithic
 
Last edited:
This could be interesting for Non-Europeans and people of mixed descent:

Code:
Neanderthal_Altai,0.00,0.00,0.00,2.63,0.23,3.62,0.00,19.20,0.00,0.00,0.00,74.32
Denisova_Altai,0.00,0.28,0.00,0.15,0.10,1.28,0.00,19.54,0.00,0.76,0.00,77.90
Mota_Ethiopia,1.58,0.75,0.29,0.23,0.00,0.37,1.46,55.98,0.00,1.31,0.00,38.04
Shum_Laka,0.11,0.09,0.00,0.26,0.00,0.10,0.47,28.80,0.00,0.00,0.00,70.17
Malawi_Mesolithic,0.00,0.00,0.00,1.08,1.78,1.23,1.11,46.86,4.94,0.07,2.34,40.60
Vaalkrans_Man,0.00,0.00,0.00,0.73,1.52,0.04,0.53,44.11,2.64,0.00,0.00,50.44
Tanzania_Neolithic,0.30,0.23,0.00,0.52,0.00,0.62,0.66,52.37,0.00,0.00,0.00,45.30
Kenia_Bronze_Age,0.00,0.00,11.14,0.58,0.27,0.00,0.00,51.98,22.82,0.00,7.85,5.36
Ancient_Zambia,0.00,0.00,0.00,2.00,0.00,0.00,0.00,41.63,0.00,0.83,0.00,55.54
Ancient_Papuan,3.45,4.56,0.62,32.29,0.00,0.00,39.33,3.58,1.73,11.26,0.00,3.18
Ancient_Polynesian,0.00,0.00,0.0,55.83,0.00,0.00,20.61,2.84,0.00,20.72,0.00,0.00
Leang_Panninge,7.04,2.43,0.00,16.00,6.30,3.44,39.89,5.50,0.00,13.69,0.00,5.72
Canaanite,8.40,0.00,3.62,1.07,9.13,0.00,0.00,0.88,30.52,0.00,46.38,0.00
Caspian_Sea_Mesolithic,62.85,2.17,0.00,0.00,0.00,1.62,9.06,0.00,6.90,0.00,14.10,3.29
Neolithic_Iran,56.66,0.00,0.00,0.00,0.00,0.00,4.15,0.00,7.64,0.00,30.42,1.13
Chalcolithic_Israel,0.00,0.25,2.99,0.00,14.47,0.00,0.00,1.81,40.95,0.00,39.53,0.00
Mesolithic_Andes,6.70,37.47,0.00,3.32,0.00,14.71,3.10,0.00,0.00,34.52,0.00,0.19
Argentinia_Mesolithic,4.66,35.88,0.00,3.51,0.00,17.46,3.94,0.00,0.00,34.05,0.00,0.49
Clovis_Culture,7.03,33.37,0.00,6.35,0.00,18.42,4.44,0.00,0.00,29.62,0.00,0.76
Kennewick_Man,9.60,36.54,0.00,5.67,0.00,17.59,4.20,0.00,0.00,23.03,0.00,3.37
Mesolithic_Middle_America,7.44,38.17,0.00,4.66,0.00,14.35,4.36,0.00,0.00,30.16,0.00,0.87
Detroit_Bronze_Age,7.69,33.76,0.00,1.50,0.00,20.61,4.11,1.21,0.00,29.99,0.00,1.13
Pre_Pottery_Brazil,6.40,36.71,0.00,2.55,0.00,14.98,6.06,0.00,0.00,32.91,0.00,0.38
Tianyuan,0.00,8.16,0.00,16.94,4.57,7.99,34.88,0.00,0.00,23.78,0.00,3.69
Trans_Baikal_Mesolithic,0.00,48.73,0.00,0.71,0.00,0.00,0.00,0.02,0.03,50.02,0.19,0.30
SamiKola,1.41,18.65,0.00,0.00,12.41,60.96,0.44,0.00,0.20,5.12,0.76,0.06
Paleo_Saqqaq,4.06,45.91,0.28,1.21,0.11,11.62,1.87,0.38,0.00,28.76,0.00,5.80
Yakut_Neolithic,0.00,74.18,0.00,0.00,0.00,0.39,0.31,0.10,0.00,23.91,0.00,1.09
Baikal_Bronze_Age,2.95,54.57,0.00,0.00,0.00,8.98,0.47,0.86,0.00,32.15,0.00,0.04
Baikal_Neolithic,0.00,51.71,0.12,0.00,0.00,0.33,0.40,0.00,0.00,47.13,0.00,0.30
Devils_Gate,0.00,29.83,0.00,1.21,0.00,0.11,0.00,0.44,0.00,68.03,0.00,0.39

Modern Non-Europeans:
Code:
Toubou,0.00,0.00,17.91,0.00,0.65,0.00,0.07,35.58,6.09,0.00,0.00,39.71
West_Bantu,0.00,0.00,0.00,0.00,0.00,0.04,0.00,9.41,0.00,0.06,0.00,90.48
Pygmy,0.00,0.00,0.00,0.00,0.00,0.00,0.00,19.17,0.00,0.00,0.15,80.68
Saharawi,0.00,0.00,38.71,0.00,19.71,0.00,0.00,10.63,16.81,0.00,6.01,8.12
Khomani_San,0.05,0.00,0.00,0.00,0.00,0.00,0.00,36.04,0.00,0.17,0.15,63.60
Bedouin,4.84,0.17,6.68,0.00,8.41,0.90,0.00,4.72,35.51,1.51,32.67,4.58
Berber,0.00,0.00,100.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
Palestine,5.27,0.19,4.98,0.37,9.49,0.32,0.00,8.30,32.42,0.00,35.82,2.84
Druze_Israel,8.90,0.36,1.12,0.00,11.16,2.36,0.21,0.00,21.95,0.00,53.36,0.58
Iraqi_Jew,17.70,0.00,4.11,0.00,11.58,1.82,1.89,0.38,21.17,0.00,41.35,0.00
Kalash_Pakistan,41.18,3.02,0.00,0.00,0.08,17.51,22.27,0.00,1.08,0.00,14.86,0.00
Burushuo,13.35,7.33,0.47,15.53,13.38,15.66,3.23,0.00,6.45,20.69,0.00,3.90
Punjabi_Indian,40.47,0.49,0.00,0.00,0.69,15.28,33.23,0.00,1.62,0.00,8.21,0.00
South_Indian,35.30,0.00,0.45,1.05,0.00,2.08,54.89,0.00,1.59,2.41,1.95,0.29
Mamanwa_Negrito,0.00,3.11,0.25,55.89,2.32,3.12,20.36,0.00,0.00,14.14,0.00,0.82
Aboriginal_Austraian,3.28,5.91,0.00,22.76,0.78,3.72,43.16,4.99,0.70,9.51,0.00,5.19
Andaman,2.48,4.00,1.33,22.96,1.11,1.05,49.80,3.29,0.77,10.81,0.00,2.39
Karitiana,1.08,35.00,0.00,6.15,0.00,22.14,4.81,0.00,0.00,30.82,0.00,0.00
Maya,8.47,33.09,0.00,4.32,0.00,18.22,4.93,00.00,0.00,30.75,0.00,0.22
Modern_Native_American,6.61,35.33,0.00,4.31,0.00,21.77,0.00,0.00,0.00,31.82,0.00,0.16
Pueblo_Native,0.00,61.80,0.00,0.00,7.74,0.00,0.00,0.00,1.04,29.42,0.00,0.00
Surui,8.86,35.08,0.00,4.73,0.00,13.73,6.22,0.00,0.00,31.38,0.00,0.00
Yakut,3.29,47.71,0.00,0.54,5.46,16.06,0.98,0.00,0.01,21.38,4.57,0.00
Japanese,0.00,3.51,0.00,10.75,0.00,0.00,0.80,0.00,0.00,84.95,0.00,0.00
Khanty,9.83,44.07,0.00,0.00,2.01,34.16,0.73,0.00,0.05,9.11,0.00,0.05
Chinese,0.00,3.90,0.00,25.85,0.00,0.00,4.58,0.00,0.00,65.67,0.00,0.00
Mongolian,3.45,44.30,0.00,0.57,2.04,2.97,0.00,0.00,0.00,45.41,1.25,0.00

This in my 2way

Distance to:Dodecad_K12b_ΙωάννηςΓαβριήλ
4.6708499952.60% Etruscans_(n=48) + 47.40% West_Bantu
4.7750535053.00% Villanovans_(n=2) + 47.00% West_Bantu
4.7767065352.80% Etruscans_(n=48) + 47.20% Bantu_S.W._Herero
4.8039311254.40% Roman_&_Visigothic_Iberia_(n=31) + 45.60% West_Bantu
4.8070267354.60% Roman_&_Visigothic_Iberia_(n=31) + 45.40% Bantu_S.W._Herero
4.8560220853.20% Villanovans_(n=2) + 46.80% Bantu_S.W._Herero
5.0738733051.80% Latins_(n=4) + 48.20% West_Bantu
5.2111238952.20% Latins_(n=4) + 47.80% Bantu_S.W._Herero
5.3394743753.60% Medieval_Catalonia_Valencia_(n=9) + 46.40% West_Bantu
5.3719710953.80% Medieval_Catalonia_Valencia_(n=9) + 46.20% Bantu_S.W._Herero
5.8265725953.00% Early_Iron_Age_Croatia_(n=9) + 47.00% West_Bantu
5.8867574953.20% Early_Iron_Age_Croatia_(n=9) + 46.80% Bantu_S.W._Herero
6.3261321453.40% Bronze_Age_Illyrians + 46.60% West_Bantu
6.3831678153.60% Bronze_Age_Illyrians + 46.40% Bantu_S.W._Herero
6.4465660848.80% Latins_(n=4) + 51.20% Pygmy
6.4666030851.40% Cucuteni-Trypillian_culture_(n=4) + 48.60% West_Bantu
6.5207889549.60% Etruscans_(n=48) + 50.40% Pygmy
6.5930914551.60% Cucuteni-Trypillian_culture_(n=4) + 48.40% Bantu_S.W._Herero
6.7070782951.60% Middle_Late_Bronze_Age_Italy_(n=9) + 48.40% West_Bantu
6.7604596149.80% Villanovans_(n=2) + 50.20% Pygmy
6.7672264559.20% Medieval_Andalusia_(n=14) + 40.80% Bantu_S.W._Herero
6.7792848157.00% Roman_&_Visigothic_Iberia_(n=31) + 43.00% Mandenka
6.8191802659.00% Medieval_Andalusia_(n=14) + 41.00% West_Bantu
6.8340081252.00% Middle_Late_Bronze_Age_Italy_(n=9) + 48.00% Bantu_S.W._Herero
7.0350621155.40% Villanovans_(n=2) + 44.60% Mandenka

This is my single distance

Distance to:Dodecad_K12b_ΙωάννηςΓαβριήλ
39.17429514Medieval_Andalusia_(n=14)
45.95729431Shum_Laka
46.92335559Roman_&_Visigothic_Iberia_(n=31)
47.27410708Medieval_Foggia_Apulia_(n=5)
47.36655782Pestera_Muierii
47.84155202Ancient_Zambia
47.85926661Medieval_Basilicata_(n=10)
47.90167429Vaalkrans_Man
48.23400564Late_Medieval_Latium_(n=16)
48.415166016th-century_Piedmont_(Italians_only)_(n=7)
48.45693965Early_Medieval_Latium_(n=5)
48.50418436Medieval_Catalonia_Valencia_(n=9)
48.50625011Late_Antiquity_Latium_(n=24)
48.59661305Early_Medieval_Canaries_(n=5)
48.81884677Medieval_Tuscany_(n=10)
48.83149598Malawi_Mesolithic
48.86669930Western_Scythians_(n=28)
49.00096122Bronze_Age_Illyrians
49.392316206th-century_Piedmont_(Italians_&_Lombards)_(n=24)
49.47178489Pygmy
49.49312073Bell_Beaker_Hungary_(n=6)
49.71166966Imperial-age_Tuscany_(n=4)
49.72004324Early_Iron_Age_Croatia_(n=9)
49.77811668Villanovans_(n=2)
49.84314697Guanches
 
Ancestry experts, what is the magical thing about the Grotta Continenza?

Target: Doggerland
Distance: 0.4751% / 0.47513896
36.7Mesolithic_Italy
27.8Picts
6.3Maikop
5.0Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
4.9Early_Bronze_Age_Southern_France_(n=5)
4.3Early_Medieval_Czechs_(n=2)
4.3Middle-Late_Bronze_Age_Hungary_(n=12)
3.8Potapovka
3.4MBA_Sintashta_culture_(n=4)
3.1Neolithic_Cambridgeshire
0.4Funnel_Beaker

Ancestors of Early Western Steppe population or some kind of weird contamination?

Even if I do not merge them, they are appearing:

Target: Doggerland
Distance: 0.5651% / 0.56507401
31.4Picts
25.7ItalyMeso1
13.1Middle-Late_Bronze_Age_Hungary_(n=12)
8.3Early_Bronze_Age_Southern_France_(n=5)
6.7MBA_Sintashta_culture_(n=4)
4.7Maikop
4.3Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
2.9Potapovka
1.8Neolithic_Cambridgeshire
0.8Early_Medieval_Czechs_(n=2)
0.3Funnel_Beaker

https://www.ebi.ac.uk/ena/browser/view/SAMEA5770191

https://www.ebi.ac.uk/ena/browser/view/SAMEA5770190

Dodecad doesn't work so well with samples that fall outside of the range of modern populations. It will wrongfully assign WHG over steppe for example in modern populations, when modeling in vahaduo.
 

This thread has been viewed 154699 times.

Back
Top