did you analyze the Romanian samples from here?
https://evolbio.ut.ee/jew/
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did you analyze the Romanian samples from here?
https://evolbio.ut.ee/jew/
The partially Romani Ukrainian is interesting
Population
Gedrosia 6.53 Pct
Siberian 1.35 Pct
Northwest_African 0.45 Pct
Southeast_Asian -
Atlantic_Med 19.26 Pct
North_European 49.11 Pct
South_Asian 7.62 Pct
East_African -
Southwest_Asian 2.96 Pct
East_Asian 0.17 Pct
Caucasus 12.40 Pct
Sub_Saharan 0.11 Pct
Target: Ukr-Roma
Distance: 1.3475% / 1.34749191 | ADC: 0.25x
70.2 Ukrainian
18.0 Rus_Kostroma
5.8 Bnei_Menashe_Jews
4.4 Hakkipikki
1.2 North_Kannadi
0.4 Brahmins_from_Uttar_Pradesh
Perhaps I could get a better fit by deleting some of the populations.
Distance to: MD-Ukr
3.84204373 Ukrainian
4.60158668 PL_Mazovia
4.90499745 Rus_Smolensk
5.22980879 Rus_Kostroma
5.42155882 Belorussian
7.13655379 Rus_Tver
7.32351691 Sorb_Lusatia
7.39269910 Southwest_Rus
8.63756910 Hungarians
11.39108862 Mixed_Slav
Target: MD-Ukr
Distance: 2.6822% / 2.68215901 | ADC: 0.5x
51.8 PL_Mazovia
41.0 Ukrainian
7.2 Bulgarians
Target: MD-Ukr
Distance: 1.6292% / 1.62915917 | ADC: 0.25x
81.2 PL_Mazovia
12.8 Bulgarians
5.4 Mixed_Slav
0.4 Sandawe_He
0.2 Pulliyar
From Capaclia, Cantemir, R. Moldova
1/8 Ukrainian, but that's too distant, so basically unmixed
# Population Percent 1 North_Atlantic 25.66 2 Baltic 20.54 3 West_Med 19.38 4 East_Med 19.11 5 West_Asian 7.46 6 Red_Sea 3.14 7 Siberian 1.97 8 East_Asian 1.73 9 Northeast_African 0.71 10 Oceanian 0.31
Single Population Sharing:
# Population (source) Distance 1 Romanian 5.92 2 Bulgarian 6.67 3 Serbian 7.95 4 Greek_Thessaly 9.97 5 North_Italian 11.2 6 Tuscan 11.64 7 Moldavian 14.7 8 Italian_Abruzzo 14.91 9 Hungarian 15.31 10 West_Sicilian 15.51 11 Portuguese 16.28 12 Central_Greek 16.58 13 Austrian 16.83 14 Spanish_Galicia 16.97 15 Croatian 16.98 16 French 17.06 17 East_Sicilian 17.37 18 Spanish_Extremadura 17.4 19 Spanish_Cataluna 17.99 20 Spanish_Murcia 18.26
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 74.3% Tuscan + 25.7% Erzya @ 2.1 2 73.4% Tuscan + 26.6% Kargopol_Russian @ 2.28 3 71.1% Tuscan + 28.9% Southwest_Russian @ 2.53 4 71.5% Tuscan + 28.5% Ukrainian_Belgorod @ 2.76 5 68.4% Tuscan + 31.6% Ukrainian @ 2.77 6 69% West_Sicilian + 31% Estonian @ 2.81 7 72.7% Tuscan + 27.3% Estonian_Polish @ 2.83 8 56.1% Tuscan + 43.9% Moldavian @ 2.86 9 60.4% Serbian + 39.6% Tuscan @ 2.9 10 66.7% West_Sicilian + 33.3% Southwest_Finnish @ 2.92 11 68.6% West_Sicilian + 31.4% Finnish @ 2.93 12 67.4% Tuscan + 32.6% Ukrainian_Lviv @ 2.93 13 75.4% Tuscan + 24.6% East_Finnish @ 2.95 14 75.1% Bulgarian + 24.9% Spanish_Murcia @ 2.97 15 72.5% Tuscan + 27.5% Russian_Smolensk @ 2.99 16 73.1% Tuscan + 26.9% Belorussian @ 3.01 17 72.9% Bulgarian + 27.1% Portuguese @ 3.02 18 75.8% Tuscan + 24.2% Lithuanian @ 3.04 19 59.8% Tuscan + 40.2% Croatian @ 3.08 20 60.9% West_Sicilian + 39.1% South_Polish @ 3.08
Distance to: Cantemir 7.50525149 Moldova_South 9.22417476 Gagauz 11.71836166 Moldova_Centre 15.80900376 Moldova_North 20.64463126 Ukrainian_Ivano_Frankivsk 26.64522096 Ukrainian_Lviv 27.83752683 Crimean_Tatar 27.97768933 Ukrainian 30.80834140 Romania_Dobruja-Tatar 33.50253274 Roma_Unmixed_Moldova 33.82336175 Russian_Smolensk 40.54052764 RU_Pinega
Target: Cantemir
Distance: 7.5053% / 7.50525149 | ADC: 0.25x100.0 Moldova_South 0.0 Crimean_Tatar 0.0 Gagauz 0.0 Moldova_Centre 0.0 Moldova_North 0.0 Romania_Dobruja-Tatar 0.0 Ukrainian 0.0 Ukrainian_Lviv 0.0 Ukrainian_Ivano_Frankivsk 0.0 Roma_Unmixed_Moldova 0.0 RU_Pinega 0.0 Russian_Smolensk
Target: Cantemir
Distance: 7.5053% / 7.50525149100.0 Moldova_South 0.0 Crimean_Tatar 0.0 Gagauz 0.0 Moldova_Centre 0.0 Moldova_North 0.0 Romania_Dobruja-Tatar 0.0 Ukrainian 0.0 Ukrainian_Lviv 0.0 Ukrainian_Ivano_Frankivsk 0.0 Roma_Unmixed_Moldova 0.0 RU_Pinega 0.0 Russian_Smolensk
Apparently at least some (if not all) Balkan natives did resemble Southern or Central Italians.
74.3% Tuscan + 25.7% Erzya @ 2.1
@Ion Basescul, are your Moldovan averages for Dodecad K12b good enough and don't need revisiting?
They are outdated by now, as I gave you only my family, the Centre-North samples from Balti and South samples from Stefan Voda.
But I'm not using K12b, so I won't calculate the others anytime soon.
Those averages are from 46 unmixed samples and now I have 87, so you are 41 samples behind.