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

**Palermo Trapani** · 21-04-22, 16:45

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

**italouruguayan** · 22-04-22, 02:18

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)

**italouruguayan** · 22-04-22, 02:21

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

**Doggerland** · 22-04-22, 08:28

Mine when combined:

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

Only the additional ones I posted:

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

Late Neolithic Denmark already has Indo-European introgression.

HGs only:

Distance to:	Doggerland
16.29555461	Mesolithic_Spain
16.43299121	El-Miron
19.24814017	Mesolithic_Italy
19.31354188	La-Brana
20.09774117	Gravettian_Krems
22.75326790	Mesolithic_France
23.14602342	Mesolithic_West_Europeans_(WHG)_(n=21)
23.65141433	Grotte_du_Bichon
25.00876446	Pitted_Ware
26.14114955	Mesolithic_Ireland
27.78961317	Pestera_Muierii
27.89103261	Loschbour
29.79789590	Ertebölle
30.57991498	Kostenki
30.93097477	Sunghir
30.98825745	Mesolithic_Balkans_HG_(n=43)
31.00622679	Mesolithic_Germany
32.57443169	Goyet
40.01396506	Mesolithic_Baltic_Scandinavia_(SHG)_(n=31)
41.14242944	Cheddar_Man
41.97155942	Latvia_HG
43.33110199	Yana_Paleolithic
44.21436757	Afontova_Gora
45.32692357	Mal_Ta_Buret
45.87200889	Mesolithic_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
15.55293220	Balma_Guilanya_Azilian
16.29555461	Mesolithic_Spain
16.43299121	El-Miron
19.24814017	Mesolithic_Italy
19.31354188	La-Brana
20.09774117	Gravettian_Krems
22.75326790	Mesolithic_France
23.14602342	Mesolithic_West_Europeans_(WHG)_(n=21)
23.65141433	Grotte_du_Bichon
25.00876446	Pitted_Ware
26.14114955	Mesolithic_Ireland
27.78961317	Pestera_Muierii
27.89103261	Loschbour
29.79789590	Ertebölle
30.57991498	Kostenki
30.93097477	Sunghir
30.98825745	Mesolithic_Balkans_HG_(n=43)
31.00622679	Mesolithic_Germany
32.57443169	Goyet
40.01396506	Mesolithic_Baltic_Scandinavia_(SHG)_(n=31)
41.14242944	Cheddar_Man
41.97155942	Latvia_HG
43.33110199	Yana_Paleolithic
44.21436757	Afontova_Gora
45.32692357	Mal_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

**Doggerland** · 22-04-22, 15:15

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

**italouruguayan** · 22-04-22, 21:51

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

**Ιωάννης Γαβριήλ** · 23-04-22, 18:47

Thank you, Doggerland!

Target: Dodecad_K12b_ΙωάννηςΓαβριήλ Distance: 1.0762% / 1.07616100
38.5	Latins_(n=4)

27.7	Mandenka

14.0	Pygmy

5.6	Bell_Beaker_Iberia_(n=11)

4.2	Shum_Laka

3.0	Chalcolithic_Northwest_Caucasus_(n=3)

2.8	Yakut_Neolithic

2.2	Epipaleolithic_Magreb_(Iberomaurusians)_(n=5)

0.8	Bhunjia

0.7	Tanzania_Neolithic

0.4	Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)

0.1	Bronze_Age_Kola_peninsula_(n=6)

Target: Dodecad_K12b_ΙωάννηςΓαβριήλ Distance: 1.3295% / 1.32953506 \| R7P
45.5	Bantu_S.W._Herero

38.6	Latins_(n=4)

5.7	Bell_Beaker_Iberia_(n=11)

3.7	Chalcolithic_Northwest_Caucasus_(n=3)

3.5	Epipaleolithic_Magreb_(Iberomaurusians)_(n=5)

3.0	Yakut_Neolithic

**Ιωάννης Γαβριήλ** · 24-04-22, 01:00

Originally Posted by Doggerland

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
4.67084999	52.60% Etruscans_(n=48) + 47.40% West_Bantu
4.77505350	53.00% Villanovans_(n=2) + 47.00% West_Bantu
4.77670653	52.80% Etruscans_(n=48) + 47.20% Bantu_S.W._Herero
4.80393112	54.40% Roman_&_Visigothic_Iberia_(n=31) + 45.60% West_Bantu
4.80702673	54.60% Roman_&_Visigothic_Iberia_(n=31) + 45.40% Bantu_S.W._Herero
4.85602208	53.20% Villanovans_(n=2) + 46.80% Bantu_S.W._Herero
5.07387330	51.80% Latins_(n=4) + 48.20% West_Bantu
5.21112389	52.20% Latins_(n=4) + 47.80% Bantu_S.W._Herero
5.33947437	53.60% Medieval_Catalonia_Valencia_(n=9) + 46.40% West_Bantu
5.37197109	53.80% Medieval_Catalonia_Valencia_(n=9) + 46.20% Bantu_S.W._Herero
5.82657259	53.00% Early_Iron_Age_Croatia_(n=9) + 47.00% West_Bantu
5.88675749	53.20% Early_Iron_Age_Croatia_(n=9) + 46.80% Bantu_S.W._Herero
6.32613214	53.40% Bronze_Age_Illyrians + 46.60% West_Bantu
6.38316781	53.60% Bronze_Age_Illyrians + 46.40% Bantu_S.W._Herero
6.44656608	48.80% Latins_(n=4) + 51.20% Pygmy
6.46660308	51.40% Cucuteni-Trypillian_culture_(n=4) + 48.60% West_Bantu
6.52078895	49.60% Etruscans_(n=48) + 50.40% Pygmy
6.59309145	51.60% Cucuteni-Trypillian_culture_(n=4) + 48.40% Bantu_S.W._Herero
6.70707829	51.60% Middle_Late_Bronze_Age_Italy_(n=9) + 48.40% West_Bantu
6.76045961	49.80% Villanovans_(n=2) + 50.20% Pygmy
6.76722645	59.20% Medieval_Andalusia_(n=14) + 40.80% Bantu_S.W._Herero
6.77928481	57.00% Roman_&_Visigothic_Iberia_(n=31) + 43.00% Mandenka
6.81918026	59.00% Medieval_Andalusia_(n=14) + 41.00% West_Bantu
6.83400812	52.00% Middle_Late_Bronze_Age_Italy_(n=9) + 48.00% Bantu_S.W._Herero
7.03506211	55.40% Villanovans_(n=2) + 44.60% Mandenka

This is my single distance

Distance to:	Dodecad_K12b_ΙωάννηςΓαβριήλ
39.17429514	Medieval_Andalusia_(n=14)
45.95729431	Shum_Laka
46.92335559	Roman_&_Visigothic_Iberia_(n=31)
47.27410708	Medieval_Foggia_Apulia_(n=5)
47.36655782	Pestera_Muierii
47.84155202	Ancient_Zambia
47.85926661	Medieval_Basilicata_(n=10)
47.90167429	Vaalkrans_Man
48.23400564	Late_Medieval_Latium_(n=16)
48.41516601	6th-century_Piedmont_(Italians_only)_(n=7)
48.45693965	Early_Medieval_Latium_(n=5)
48.50418436	Medieval_Catalonia_Valencia_(n=9)
48.50625011	Late_Antiquity_Latium_(n=24)
48.59661305	Early_Medieval_Canaries_(n=5)
48.81884677	Medieval_Tuscany_(n=10)
48.83149598	Malawi_Mesolithic
48.86669930	Western_Scythians_(n=28)
49.00096122	Bronze_Age_Illyrians
49.39231620	6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
49.47178489	Pygmy
49.49312073	Bell_Beaker_Hungary_(n=6)
49.71166966	Imperial-age_Tuscany_(n=4)
49.72004324	Early_Iron_Age_Croatia_(n=9)
49.77811668	Villanovans_(n=2)
49.84314697	Guanches

**Jovialis** · 24-04-22, 03:29

@Doggerland
It would be excellent to use those Paleothic samples you have as components for a calculator within and of itself.

**Jovialis** · 24-04-22, 03:40

Originally Posted by Doggerland

Ancestry experts, what is the magical thing about the Grotta Continenza?

Target: Doggerland Distance: 0.4751% / 0.47513896

36.7	Mesolithic_Italy
27.8	Picts
6.3	Maikop
5.0	Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
4.9	Early_Bronze_Age_Southern_France_(n=5)
4.3	Early_Medieval_Czechs_(n=2)
4.3	Middle-Late_Bronze_Age_Hungary_(n=12)
3.8	Potapovka
3.4	MBA_Sintashta_culture_(n=4)
3.1	Neolithic_Cambridgeshire
0.4	Funnel_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

31.4	Picts
25.7	ItalyMeso1
13.1	Middle-Late_Bronze_Age_Hungary_(n=12)
8.3	Early_Bronze_Age_Southern_France_(n=5)
6.7	MBA_Sintashta_culture_(n=4)
4.7	Maikop
4.3	Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
2.9	Potapovka
1.8	Neolithic_Cambridgeshire
0.8	Early_Medieval_Czechs_(n=2)
0.3	Funnel_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.

**Salento** · 24-04-22, 06:18

None of us should be closer to Neanderthal than to Yakut_Neolithic … I think.

Distance to: Salento
89.74320587 Neanderthal_Altai
91.28647216 Yakut_Neolithic
93.27762915 Denisova_Altai

**Northener** · 24-04-22, 09:42

Originally Posted by Doggerland

Mine when combined:

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

Only the additional ones I posted:

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

Late Neolithic Denmark already has Indo-European introgression.

HGs only:

Distance to:	Doggerland
16.29555461	Mesolithic_Spain
16.43299121	El-Miron
19.24814017	Mesolithic_Italy
19.31354188	La-Brana
20.09774117	Gravettian_Krems
22.75326790	Mesolithic_France
23.14602342	Mesolithic_West_Europeans_(WHG)_(n=21)
23.65141433	Grotte_du_Bichon
25.00876446	Pitted_Ware
26.14114955	Mesolithic_Ireland
27.78961317	Pestera_Muierii
27.89103261	Loschbour
29.79789590	Ertebölle
30.57991498	Kostenki
30.93097477	Sunghir
30.98825745	Mesolithic_Balkans_HG_(n=43)
31.00622679	Mesolithic_Germany
32.57443169	Goyet
40.01396506	Mesolithic_Baltic_Scandinavia_(SHG)_(n=31)
41.14242944	Cheddar_Man
41.97155942	Latvia_HG
43.33110199	Yana_Paleolithic
44.21436757	Afontova_Gora
45.32692357	Mal_Ta_Buret
45.87200889	Mesolithic_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
15.55293220	Balma_Guilanya_Azilian
16.29555461	Mesolithic_Spain
16.43299121	El-Miron
19.24814017	Mesolithic_Italy
19.31354188	La-Brana
20.09774117	Gravettian_Krems
22.75326790	Mesolithic_France
23.14602342	Mesolithic_West_Europeans_(WHG)_(n=21)
23.65141433	Grotte_du_Bichon
25.00876446	Pitted_Ware
26.14114955	Mesolithic_Ireland
27.78961317	Pestera_Muierii
27.89103261	Loschbour
29.79789590	Ertebölle
30.57991498	Kostenki
30.93097477	Sunghir
30.98825745	Mesolithic_Balkans_HG_(n=43)
31.00622679	Mesolithic_Germany
32.57443169	Goyet
40.01396506	Mesolithic_Baltic_Scandinavia_(SHG)_(n=31)
41.14242944	Cheddar_Man
41.97155942	Latvia_HG
43.33110199	Yana_Paleolithic
44.21436757	Afontova_Gora
45.32692357	Mal_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

I guess they were 'WHG like' and part of the 'EEF package'?

https://www.cell.com/current-biology...822(19)30145-9

**Doggerland** · 24-04-22, 09:59

Originally Posted by Salento

None of us should be closer to Neanderthal than to Yakut_Neolithic … I think.
Distance to: Salento
89.74320587 Neanderthal_Altai
91.28647216 Yakut_Neolithic
93.27762915 Denisova_Altai

Neanderthal Ancestry will be rated as ancient African by all calculators I know to date. It probably only means you are more related to Africans, than to East Asians:

Eurogenes K15
Using1 populations approximation
1100% Biaka_Pygmy @ 4,303
2100% Bantu_S.E. @ 4,511

HarrapaWorld
Using1 populations approximation
1100% kung @ 41,260
2100% san1 @ 42,880

Distance to:	Yakut
31.87585293	Yakut_Neolithic
94.04570697	Neanderthal_Altai
96.97943339	Denisova_Altai

Distance to:	Japanese
94.00682582	Yakut_Neolithic
114.89411082	Neanderthal_Altai
116.88994396	Denisova_Altai

**Doggerland** · 24-04-22, 10:06

Originally Posted by Jovialis

@Doggerland
It would be excellent to use those Paleothic samples you have as components for a calculator within and of itself.

I can upload them on Dropbox, if you are interested. Just say which ones and if you need .csv or .txt, merged or single.

Originally Posted by Jovialis

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.

Probably right, but as far as I know Eurogenes is made by someone who has strong trust in the Steppe Theory. Does the calculator have the same problem?

Eurogens K15 Ancient compared to Bronze Age:

Balma Gulyana Azilian

Using 1 populations approximation
1 100% BeakerBritain_I2443 @ 14,467
2 100% Srubnaya_I0232 @ 17,211
3 100% Srubnaya_I0423 @ 18,532
4 100% MakoCultureHungary_BR1 @ 19,340
5 100% Andronovo_RISE500 @ 19,414
6 100% Poltavka_I0432 @ 19,544
7 100% Sintashta_RISE395 @ 19,906
8 100% Potapovka_I0419 @ 20,071
9 100% LateBronzeAgeScotland @ 20,521
10 100% BronzeAgeOrkneyIslander_I2981 @ 20,569

Yamnaya

Using 1 populations approximation
1 100% Poltavka_I0440 @ 6,010
2 100% Afanasievo_RISE511 @ 7,066
3 100% Afanasievo_RISE509 @ 9,294
4 100% BronzAgeBulgarian @ 17,283
5 100% Andronovo_RISE505 @ 21,936
6 100% BronzAgeSilesian_I6531 @ 23,522
7 100% Srubnaya_I0430 @ 23,900
8 100% Andronovo_DA231 @ 24,402
9 100% SharakhalsunSteppeMaykop_SA6004 @ 26,456
10 100% Srubnaya_I0232 @ 26,943

Yamnaya2

Using 1 populations approximation
1 100% Poltavka_I0440 @ 15,625
2 100% Afanasievo_RISE509 @ 15,771
3 100% Afanasievo_RISE511 @ 18,386
4 100% BronzAgeBulgarian @ 20,897
5 100% Srubnaya_I0430 @ 24,984
6 100% BronzAgeSilesian_I6531 @ 26,535
7 100% Andronovo_DA231 @ 26,739
8 100% Andronovo_RISE505 @ 27,271
9 100% Andronovo_RISE503 @ 30,067
10 100% PolishBellBeaker_I4253 @ 30,514

Yamnaya3

Using 1 populations approximation
1 100% BronzAgeBulgarian @ 11,379
2 100% Poltavka_I0440 @ 13,085
3 100% Andronovo_RISE505 @ 13,106
4 100% Afanasievo_RISE509 @ 13,830
5 100% Afanasievo_RISE511 @ 14,191
6 100% Andronovo_DA231 @ 14,263
7 100% BronzAgeSilesian_I6531 @ 16,724
8 100% Andronovo_RISE500 @ 18,553
9 100% Srubnaya_I0232 @ 20,489
10 100% Srubnaya_I0430 @ 20,957

Eurogens K15 Ancient Battle Axe compared to HGs + Yamnaya:

Using 1 populations approximation
1 100% Ajvide58(Sweden) @ 14,876
2 100% BalmaGuilanyaAzilian @ 20,955
3 100% CheddarMan @ 22,830
4 100% MesolithicNeolithicSerbia_I4871 @ 23,823
5 100% Motala_12(Sweden) @ 25,027
6 100% Yamnaya_I0443 @ 25,615
7 100% Sunghir6 @ 26,539
8 100% Yamnaya_RISE548 @ 27,936
9 100% YamnayaKaragash_EBA @ 28,036
10 100% GoyetQ116_1 @ 28,383

Eurogens K15 Ancient Unetice compared to HGs + Yamnaya:

Using 1 populations approximation
1 100% Ajvide58(Sweden) @ 16,181
2 100% CheddarMan @ 23,528
3 100% BalmaGuilanyaAzilian @ 23,630
4 100% MesolithicNeolithicSerbia_I4871 @ 25,101
5 100% Motala_12(Sweden) @ 26,346
6 100% Yamnaya_I0443 @ 27,059
7 100% YamnayaKaragash_EBA @ 28,640
8 100% Yamnaya_RISE548 @ 29,062
9 100% GoyetQ116_1 @ 29,801
10 100% Sunghir6 @ 30,154

Eurogens K15 Ancient Central European Bell Beaker compared to HGs + Yamnaya:

Using 1 populations approximation
1 100% Ajvide58(Sweden) @ 12,516
2 100% CheddarMan @ 18,530
3 100% BalmaGuilanyaAzilian @ 18,822
4 100% MesolithicNeolithicSerbia_I4871 @ 21,644
5 100% Motala_12(Sweden) @ 24,903
6 100% Sunghir6 @ 27,220
7 100% Ostuni1 @ 27,228
8 100% GoyetQ116_1 @ 29,104
9 100% Yamnaya_I0443 @ 30,896
10 100% Kostenki14 @ 32,212

Myself:

Using 1 populations approximation
1 100% BalmaGuilanyaAzilian @ 16,505
2 100% Ajvide58(Sweden) @ 18,794
3 100% Ostuni1 @ 20,195
4 100% CheddarMan @ 20,530
5 100% Sunghir6 @ 24,995
6 100% GoyetQ116_1 @ 25,183
7 100% MesolithicNeolithicSerbia_I4871 @ 25,379
8 100% Kostenki14 @ 29,058
9 100% Motala_12(Sweden) @ 30,090
10 100% Yamnaya_I0443 @ 32,574

Link to separate thread: https://www.eupedia.com/forum/thread...143#post646143

**Northener** · 24-04-22, 10:29

@Doggerland, I guess Haak was already quite clear about the Balma sample:

Our results highlight the unique genetic structure observed in Iberian HG individuals, which results from admixture of individ-uals related to the GoyetQ2 and Villabruna clusters. This suggests a survival of two lineages of Late Pleistocene ancestry in Holocene western Europe, in particular the Iberian Peninsula, whereas HG ancestry in most other regions was largely replaced by Villabruna-like ancestry. With an age estimate of 18,700 years cal BP for the El Miro ́ n individual, the oldest representative of this mixed ancestry, the timing of this admixture suggests an early connection (terminus ante quem) between putative ancestries from different LGM refugia. It is possible that Goyet Q-2 ancestry could have existed in Iberia in unadmixed form, where it was complemented by Villabruna ancestry as early as $18,700 years ago. Alternatively, both Magdalenian-associated Goyet Q-2 and Villabruna ancestries originated in regions outside Iberia and arrived in Iberia independently, where both lineages admixed, or had already existed in admixed form outside Iberia. Interestingly, the dual Upper Paleolithic ancestry was also found in EN individuals from the Iberian Peninsula, supporting the hypothesis of additional local admixture with resident HGs in Iberia during the time of the Mesolithic-Neolithic transition.

Bell Beakers were about 50% Steppe but had also a considerable neolithic amount, due to mixing of SGC and for example Funnelbeaker/Michelsberg?

The BB spread from Spain is still a theory but is getting less and less likely in favor of a Rhenish/ Dutch cradle....

**Salento** · 24-04-22, 14:05

Originally Posted by Doggerland

Neanderthal Ancestry will be rated as ancient African by all calculators I know to date. It probably only means you are more related to Africans, than to East Asians:

Eurogenes K15
Using1 populations approximation
1100% Biaka_Pygmy @ 4,303
2100% Bantu_S.E. @ 4,511

HarrapaWorld
Using1 populations approximation
1100% kung @ 41,260
2100% san1 @ 42,880

Distance to:	Yakut
31.87585293	Yakut_Neolithic
94.04570697	Neanderthal_Altai
96.97943339	Denisova_Altai

Distance to:	Japanese
94.00682582	Yakut_Neolithic
114.89411082	Neanderthal_Altai
116.88994396	Denisova_Altai

… I used the Post #455 coordinates, … nobody should be closer to Neanderthal than to a Neolithic population,

Swedish, Spanish, Ethiopians, … get similar results as mine.

Distance to: Swedish

99.27834910 Neanderthal_Altai
100.55250171 Shum_Laka
101.55228604 Yakut_Neolithic
103.29861809 Denisova_Altai

Distance to: Spanish

95.39522001 Neanderthal_Altai
95.53819446 Shum_Laka
97.43347679 Yakut_Neolithic
98.78131655 Denisova_Altai

Distance to: Ethiopians
87.62422382 Neanderthal_Altai
88.12774535 Caspian_Sea_Mesolithic
89.54641478 Baikal_Bronze_Age
90.41557664 Denisova_Altai
90.77346253 SamiKola
94.24967268 Trans_Baikal_Mesolithic
94.36475136 Baikal_Neolithic
97.37790150 Devils_Gate
100.37471195 Yakut_Neolithic

**Ιωάννης Γαβριήλ** · 24-04-22, 14:39

Originally Posted by Salento

… I used the Post #455 coordinates, … nobody should be closer to Neanderthal than to a Neolithic population,
Swedish, Spanish, Ethiopians, … get similar results as mine.
Distance to: Swedish
99.27834910 Neanderthal_Altai
100.55250171 Shum_Laka
101.55228604 Yakut_Neolithic
103.29861809 Denisova_Altai
Distance to: Spanish
95.39522001 Neanderthal_Altai
95.53819446 Shum_Laka
97.43347679 Yakut_Neolithic
98.78131655 Denisova_Altai
Distance to: Ethiopians
87.62422382 Neanderthal_Altai
88.12774535 Caspian_Sea_Mesolithic
89.54641478 Baikal_Bronze_Age
90.41557664 Denisova_Altai
90.77346253 SamiKola
94.24967268 Trans_Baikal_Mesolithic
94.36475136 Baikal_Neolithic
97.37790150 Devils_Gate
100.37471195 Yakut_Neolithic

Neanderthals are shown here as a subsaharan african population, closer to northeastern bantu, I don't think we should be using non Homo Sapiens Sapiens DNA in this Calculator.

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

Distance to:	Denisova_Altai
3.45550286	Bantu_N.E.
5.46118119	Luhya

Distance to:	Neanderthal_Altai
6.41253460	Bantu_N.E.
6.92738046	Luhya

**Doggerland** · 24-04-22, 18:01

Like I said I don’t know any calculator who does not associate Neanderthals and Denisovans with ancient Africans.
The ancestry calculators cannot differentiate between Apes and Humans and everything that is in between.

So lets test which ape or monkey we are more related to:

Code:

Baboon,1.08,0.25,0.00,2.48,2.45,5.64,0.13,21.22,0.00,0.78,0.41,65.56
Gibbon,1.06,0.78,0.00,1.06,0.74,4.46,0.06,23.53,0.00,0.96,0.00,67.34
Gorilla,0.47,0.50,0.00,0.61,0.00,2.29,0.39,21.82,0.00,0.00,0.00,73.92
Tarsier,3.94,5.21,0.00,4.71,0.00,12.95,2.23,21.98,0.00,3.32,0.00,45.67
Orang_Utan,1.47,0.31,0.00,1.26,1.21,2.54,0.00,23.13,0.00,0.99,0.00,69.09
Rhesus_Monkey,1.70,0.91,0.00,2.08,2.34,4.88,0.10,22.87,0.00,0.85,0.00,64.28
Chimpanzee,0.41,0.12,0.00,0.05,0.25,1.63,0.15,22.23,0.00,0.79,0.00,74.35
Spider_Monkey,0.00,0.00,0.00,6.90,0.00,10.60,1.00,17.86,8.25,0.00,0.63,54.76

Distance to:	Doggerland
71.64587218	Tarsier
78.23027483	Spider_Monkey
87.34386298	Rhesus_Monkey
87.48702247	Baboon
90.61823106	Gibbon
92.51737188	Orang_Utan
96.48609693	Gorilla
97.12560476	Chimpanzee

The calculator must be wrong! ;)

10562.jpg

I don’t wanna be mean, but this again points to my view about those ancestry calculators that I had before: They are very selective and designed to show what the creators want them to show. So how reliable are their results? What can we learn from them? Should we build parts of our Identity based on their results?

**Palermo Trapani** · 24-04-22, 18:33

Doggerland: I think all those calculators works with the assumption of some modified form of OOA, not the Recent-Replacement OOA model where some group of ancient East Africans left 40K years ago and diverged and replaced other human groups, but one that still has a basic OOA maintained assumption of some ancient East African population leaving The Horn, etc and then moving into other regions diverging into new population groups, i.e. West/East Eurasian cluster, before splitting into West Eurasian and East Eurasian, then in the West, HG groups, then divergent HG groups forming Neolithic populations groups, etc.

So say for example Dodecad 12, those 11 population groups that are modeled captures the divergence among the OOA populations and anything not captured in those 11 groups falls back into the Sub-Saharan African group as more of an Ancestral population. So sub-Saharan African groups are in these models going to be predicted to have more ancestral alleles vs. derived, perhaps? Neanderthals thus in these calculators are being estimated as having more ancestral alleles hence being assigned with sub-Saharan Africans even though there is no fossil evidence ever indicating Neanderthals lived there.

So for modeling modern Populations, Dodecad12B and others works well, some calculators work better for some modern populations vs. other. Using it to model Neanderthals is outside what the Model was designed to to I think.

So trying to use Dodecad 12B to model Western European HG vs Neolithic Early European Farmer DNA is not really what the model was attended for since DNA from those populations were likely used to come up with the 12 variables/factors in Dodecad 12b to come with Atlantic_Med vs. Caucus, etc.

**Ιωάννης Γαβριήλ** · 24-04-22, 19:34

Originally Posted by Palermo Trapani

Doggerland: I think all those calculators works with the assumption of some modified form of OOA, not the Recent-Replacement OOA model where some group of ancient East Africans left 40K years ago and diverged and replaced other human groups, but one that still has a basic OOA maintained assumption of some ancient East African population leaving The Horn, etc and then moving into other regions diverging into new population groups, i.e. West/East Eurasian cluster, before splitting into West Eurasian and East Eurasian, then in the West, HG groups, then divergent HG groups forming Neolithic populations groups, etc.

So say for example Dodecad 12, those 11 population groups that are modeled captures the divergence among the OOA populations and anything not captured in those 11 groups falls back into the Sub-Saharan African group as more of an Ancestral population. So sub-Saharan African groups are in these models going to be predicted to have more ancestral alleles vs. derived, perhaps? Neanderthals thus in these calculators are being estimated as having more ancestral alleles hence being assigned with sub-Saharan Africans even though there is no fossil evidence ever indicating Neanderthals lived there.

So for modeling modern Populations, Dodecad12B and others works well, some calculators work better for some modern populations vs. other. Using it to model Neanderthals is outside what the Model was designed to to I think.

So trying to use Dodecad 12B to model Western European HG vs Neolithic Early European Farmer DNA is not really what the model was attended for since DNA from those populations were likely used to come up with the 12 variables/factors in Dodecad 12b to come with Atlantic_Med vs. Caucus, etc.

Makes 100% sense, but how modern the populations need to be for the Dodecad K12b to work? Because form what I researched the Iberomarusians seem to be kind of accurate, I think
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

**Mhorstemeyer** · 22-05-22, 03:59

Target: Macin
Distance: 495.3482% / 4.95348215 | ADC: 2x RC
50.6 Avars_(n=2)
49.4 Vikings_from_Poland_(n=9)

Target: Macin
Distance: 654.6202% / 6.54620162 | ADC: 2x RC
53.4 Iron_Age_Norway_(n=6)
46.6 Iron_Age_Estonia_(n=8)

Target: Macin
Distance: 1061.7938% / 10.61793765 | ADC: 2x RC
100.0 EBA_Unetice_culture_(n=18)

Target: Macin
Distance: 778.4795% / 7.78479464 | ADC: 2x RC
54.8 Western_Corded_Ware_(n=17)
45.2 Mesolithic_West_Europeans_(WHG)_(n=21)

I was adopted from Poland.

**Latro** · 23-05-22, 13:15

Cool tool. GEDmatch and Admixture Studio 2.50 Dodecad K12b percentages:

GEDmatch, Epipaleolithic to Chalcolithic
1.84800045 87.20% Bell_Beaker_Czechia_(n=15) + 12.80% Early_Bronze_Age_Jordan_(n=3)
2.00020559 32.00% LN_Tisza-Sopot_culture_(n=11) + 68.00% Western_Corded_Ware_(n=17)
2.23218457 26.20% Early_Neolithic_Anatolia_(n=20) + 73.80% Battle-Axe_culture_(n=3)

Admixture Studio, Epipaleolithic to Chalcolithic
1.35904172 32.00% LN_Tisza-Sopot_culture_(n=11) + 68.00% Western_Corded_Ware_(n=17)
1.66032042 30.80% EN_LBK_culture_(n=43) + 69.20% Western_Corded_Ware_(n=17)
1.69587678 32.80% EN_Alfold_Linear_Pottery_culture_(n=20) + 67.20% Western_Corded_Ware_(n=17)

GEDmatch, Bronze Age
2.74308227 26.60% Middle-Late_Bronze_Age_North_Levant_(n=24) + 73.40% Nordic_Bronze_Age_(n=14)
3.03960816 65.00% MBA_Sintashta_culture_(n=4) + 35.00% Mycenaean_Greece_(n=4)
3.05371733 46.40% MBA_Sintashta_culture_(n=4) + 53.60% Bronze_Age_Illyrians

Admixture Studio, Bronze Age
2.24176815 82.60% Middle-Late_Bronze_Age_Britain_(n=24) + 17.40% Late_Bronze_Age_Israel_(n=3)
2.28407038 83.20% Middle-Late_Bronze_Age_Britain_(n=24) + 16.80% Early-Middle_Bronze_Age_North_Levant_(n=9)
2.37552879 65.20% MBA_Sintashta_culture_(n=4) + 34.80% Mycenaean_Greece_(n=4)

GEDmatch, Iron Age & Early Antiquity
2.57995907 35.40% Imperial-age_Marche_(n=2) + 64.60% Iron_Age_Sweden_(n=4)
2.58958890 26.00% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 74.00% Iron_Age_Denmark_(n=10)
2.78366714 20.40% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 79.60% Iron_Age_Netherlands_(n=5)

Admixture Studio, Iron Age & Early Antiquity
2.29471975 20.40% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 79.60% Iron_Age_Netherlands_(n=5)
2.38351355 35.60% Imperial-age_Marche_(n=2) + 64.40% Iron_Age_Sweden_(n=4)
2.46219114 21.80% Italian_Greeks_(n=2) + 78.20% Iron_Age_Netherlands_(n=5)

GEDmatch, Late Antiquity & Middle Ages
2.63961509 25.20% Early_Medieval_Latium_(n=5) + 74.80% Chernyakhiv_culture_Goths_(n=3)
2.68873982 30.40% Late_Medieval_Latium_(n=16) + 69.60% Chernyakhiv_culture_Goths_(n=3)
2.77097522 24.00% Medieval_Tuscany_(n=10) + 76.00% Chernyakhiv_culture_Goths_(n=3)

Admixture Studio, Late Antiquity & Middle Ages
2.23493019 24.20% Late_Antiquity_Latium_(n=24) + 75.80% Chernyakhiv_culture_Goths_(n=3)
2.25261653 20.20% Imperial_Tuscany_(n=4) + 79.80% Chernyakhiv_culture_Goths_(n=3)
2.36328599 30.20% Late_Medieval_Latium_(n=16) + 69.80% Chernyakhiv_culture_Goths_(n=3)

For context, my genealogy is:

~36% Dutch (25% South Holland, ~10% north Dutch),
25% Danish,
~14% German (12.5% Ruhr area).

The remaining 25% is from my unknown grandfather. My research so far suggests to me that he was half Heptanesian and half Italian.

GEDmatch Dodecad K12b:

1 50% British_Isles_Dodecad +25% Lebanese_Behar +25% Swedish_Dodecad 2.002252

1 British_Isles_Dodecad + Druze_HGDP + Norwegian_Dodecad + Norwegian_Dodecad 1.222059

Admixture Studio Dodecad K12b:

1 33% Norwegian_D + 33% Norwegian_D + 33% Sephardic_Jews 3,178

1 25% Norwegian_D + 25% Norwegian_D + 25% Norwegian_D + 25% Druze 3,947

Admixture Studio Dodecad K12b, but (imho) unrelated populations removed:

1 33% Dutch_D + 33% Swedish_D + 33% S_Italian_Sicilian_D 3,632

1 25% Dutch_D + 25% Dutch_D + 25% Swedish_D + 25% Lebanese 2,447

Eurogenes K13 seems a bit closer to what my research suggests.

GEDmatch Eurogenes K13:

1 50% Danish +25% Italian_Abruzzo +25% Serbian 2.305556

1 Cyprian + Danish + North_German + Swedish 1.680030

Admixture Studio Eurogenes K13:

1 33% North_German + 33% North_German + 33% Italian_Abruzzo 2,252
2 33% Swedish + 33% Swedish + 33% South_Italian 2,274
3 33% Danish + 33% Danish + 33% Central_Greek 2,345

1 25% North_German + 25% North_German + 25% North_German + 25% Italian_Jew 2,080
2 25% North_German + 25% North_German + 25% North_German + 25% Algerian_Jew 2,161
3 25% Swedish + 25% Swedish + 25% West_Scottish + 25% Cypriot 2,180

**Tomenable** · 26-05-22, 16:48

Avar Szolad Av2 is not a real Avar.

These are real Avars (samples from "Ancient genomes reveal origin and rapid trans-Eurasian migration of 7th Century Avar elites"):

Distance to: HUN_Avar_Late:A1815
0.04367484 Altaian

Distance to: HUN_Avar_Late:A1814
0.03548177 Altaian

Distance to: HUN_Avar_Late:A1813
0.03843090 Altaian

Distance to: HUN_Avar_Late:A1810
0.02987874 Buryat

Distance to: HUN_Avar_Late:A1809
0.03472882 Altaian

Distance to: HUN_Avar_Early:I20801
0.03143735 Altaian

Distance to: HUN_Avar_Early:I20800
0.06093074 Nogai

Distance to: HUN_Avar_Early:I18743
0.05161170 Khamnegan

Distance to: HUN_Hun:A181029
0.05428544 Tatar_Kazan

Distance to: HUN_Avar_Middle_Late:I18744
0.04614753 Karakalpak

Distance to: HUN_Avar_Middle_Late:I18224
0.03668949 Buryat

Distance to: HUN_Avar_Middle_Late:I18223
0.03163757 Khamnegan

Distance to: HUN_Avar_Middle_Late:A1811
0.05487352 Khamnegan

Distance to: HUN_Avar_Middle:I18742
0.04764020 Khamnegan

Distance to: HUN_Avar_Middle:A1812
0.04865958 Khamnegan

Distance to: HUN_Avar_Late:I16741
0.06735683 Tatar_Lipka

Distance to: HUN_Avar_Late:I20799
0.06690287 Tatar_Lipka

Distance to: HUN_Avar_Late:I20798
0.05574973 Uzbek

Distance to: HUN_Avar_Late:I18225
0.04190029 Altaian

Distance to: HUN_Avar_Late:I18222
0.04640433 Kazakh

Distance to: HUN_Avar_Early:I18174
0.06358540 Tatar_Lipka

Distance to: HUN_Avar_Early:I16812
0.06642205 Tatar_Lipka

Distance to: HUN_Avar_Early:I16744
0.05585856 Uzbek

Distance to: HUN_Avar_Early:A1824
0.03835026 Turkmen

Distance to: HUN_Avar_Early:A1823
0.04732149 Khamnegan

Distance to: HUN_Avar_Early:A1822
0.04465457 Khamnegan

Distance to: HUN_Avar_Early:A1821
0.05783097 Khamnegan

Distance to: HUN_Avar_Early:A1819
0.06894679 Khamnegan

Distance to: HUN_Avar_Early:A1818
0.04108681 Khamnegan

Distance to: HUN_Avar_Early:A1817
0.07692129 Nogai

Distance to: HUN_Avar_Early:A1816
0.06544459 Khamnegan

Distance to: HUN_Avar_Early:A1807
0.02464850 Nogai

Distance to: HUN_Avar_Early:A1806
0.03736689 Buryat

Distance to: HUN_Avar_Early:A1805
0.04801755 Kirghiz

Distance to: HUN_Avar_Early:A1804
0.04077053 Altaian

Distance to: HUN_Avar_Early:A1802
0.05354802 Khamnegan

Distance to: HUN_Avar_Early:A1801
0.03254253 Khamnegan

**Tomenable** · 27-05-22, 02:21

^^^ So real ethnic Avars looked like this:

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

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