I think real border should follow the Carpathians (Lemkos, Hutzuls, Zakarpatian Rusyns), but as LivingDNa on this map is using administrative borders is too northern than in reality.
https://i.postimg.cc/GpTFN2Rg/Bez-nazwy-8.png
Printable View
I think real border should follow the Carpathians (Lemkos, Hutzuls, Zakarpatian Rusyns), but as LivingDNa on this map is using administrative borders is too northern than in reality.
https://i.postimg.cc/GpTFN2Rg/Bez-nazwy-8.png
it doesn't contradict what I say: the population in northern Romania, northern Moldova and SW Ukraine owes its genetic mix mostly to demographic realities previous to Vlach expansion: their Neolithic Farmer genes should be mostly from the actual local Neolithic cultures (as it is, diluted down to 15-20% in SW Ukrainians). and yes there you have Chernivtsi oblast' Ukrainians and Suceava and Botosani county Romanians as well as northern Moldova Rep people with a mostly similar genetic breakdown of main components (Baltic, Atlantic, Mediterranean), I bet on a local stable mix that rather was initially Slavic. Vlachs did penetrate Ukrainian territory, but for the most melted into the Ukrainians on a more local and individual path than like getting entire communities Slavicized - that did not happen, only the contrary, Slavic inhabitants between Carpathians and Dniester got Romanianized linguistically. local persistence of Neolithic DNA (diluted, of course) is backed also by the continuity of I2 YDNA hg.
isn't there a way to more scientifically test that? that the Mediterranean genes of Moldovans and Ukrainians are Neolithic and not recent Vlach input (for the most). work has to be done to look more on an IBD way at ancestry in the region than macro components.
No, that map from LivingDNA is pure bullshit for Moldova, because I have Moldovans from those regions and they are not that different from others. But it is exactly in those districts, apart from Stefan Voda in the South and arguarbly Anenii Noi and Rezina in the Centre that there is a higher incidence of outliers. That's not a surprise to me, since surnames there are strongly non-Moldovan in origin. Many Ukrainians and Russians ran from serfdom and political persecutions to mainly Northern Moldova in the late 18th to 19th centuries and according to the map mainly settled along the Dniester. Many are completely assimilated linguistically, but the genes obviously don't disappear just like that if not mixed with local Moldovans.
So I guess that they must have stumbled on people of colonist descent. Otherwise I cannot explain why they are more Northern than Ukrainians immediately North of us.
Not really, in Northern Moldova you have plenty of people with "Central"-like profiles. To me it's pretty clear why there are divergences. They are simply mixed.
The purest Moldovans are centred in the districts around Chisinau where they can constitute up to 99% of the population. In both the South and North there are plenty of people with colonist backgrounds. Such is the reality.
https://upload.wikimedia.org/wikiped...%282014%29.png
Here are my matches lol
https://i.imgur.com/nfIuHWQ.png
Also two kits from Hmelnytska oblast (I dont know exact districts):
1.
2.Quote:
Admix Results (sorted):
# Population Percent
1 Baltic 44.45
2 North_Atlantic 24.01
3 West_Med 12.1
4 West_Asian 7.95
5 East_Med 7.82
6 Amerindian 1.38
7 Oceanian 0.81
8 Northeast_African 0.5
9 South_Asian 0.47
10 Siberian 0.28
11 Red_Sea 0.24
Single Population Sharing:
# Population (source) Distance
1 Ukrainian 4.55
2 Ukrainian_Lviv 4.85
3 Southwest_Russian 5.33
4 Ukrainian_Belgorod 5.56
5 South_Polish 6.78
6 Polish 7.28
7 Russian_Smolensk 7.38
8 Estonian_Polish 7.88
9 Croatian 8.45
10 Belorussian 8.97
11 Kargopol_Russian 10.51
12 Moldavian 10.56
13 Erzya 11.57
14 Lithuanian 12.28
15 Estonian 13.59
16 Hungarian 13.69
17 Finnish 15.41
18 East_Finnish 15.76
19 Southwest_Finnish 16.17
20 East_German 16.25
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 91.6% Ukrainian_Belgorod + 8.4% Sardinian @ 2.52
2 92.5% Southwest_Russian + 7.5% Sardinian @ 3.02
3 64.7% Lithuanian + 35.3% Bulgarian @ 3.07
4 70.2% Southwest_Russian + 29.8% Moldavian @ 3.18
5 76% Lithuanian + 24% Central_Greek @ 3.23
6 83.7% Southwest_Russian + 16.3% Bulgarian @ 3.26
7 69.2% Ukrainian_Belgorod + 30.8% Moldavian @ 3.3
8 65.1% Southwest_Russian + 34.9% Croatian @ 3.31
9 63.6% Ukrainian_Belgorod + 36.4% Croatian @ 3.33
10 88.1% Southwest_Russian + 11.9% Greek_Thessaly @ 3.34
11 72.1% Lithuanian + 27.9% Greek_Thessaly @ 3.36
12 83.1% Ukrainian_Belgorod + 16.9% Bulgarian @ 3.38
13 87.5% Ukrainian_Belgorod + 12.5% Greek_Thessaly @ 3.41
14 90.2% Southwest_Russian + 9.8% Central_Greek @ 3.41
15 78.1% Lithuanian + 21.9% South_Italian @ 3.45
16 54.2% Moldavian + 45.8% Lithuanian @ 3.45
17 81.3% Lithuanian + 18.7% Cyprian @ 3.46
18 91.2% Southwest_Russian + 8.8% South_Italian @ 3.46
19 83.3% Southwest_Russian + 16.7% Romanian @ 3.47
20 90.6% Southwest_Russian + 9.4% East_Sicilian @ 3.49
The second is very similar to this one:Quote:
Admix Results (sorted):
# Population Percent
1 Baltic 46.35
2 North_Atlantic 30.21
3 West_Med 9.25
4 West_Asian 5.6
5 East_Med 4.74
6 South_Asian 1.46
7 Siberian 1.28
8 Oceanian 0.66
9 Amerindian 0.46
Single Population Sharing:
# Population (source) Distance
1 Polish 2.44
2 Russian_Smolensk 3.23
3 Estonian_Polish 3.76
4 Belorussian 3.83
5 Ukrainian 4.38
6 Southwest_Russian 4.43
7 South_Polish 4.57
8 Ukrainian_Belgorod 5.14
9 Ukrainian_Lviv 5.76
10 Estonian 7.16
11 Lithuanian 7.78
12 Kargopol_Russian 8.28
13 Finnish 9.15
14 Southwest_Finnish 9.83
15 East_Finnish 10.53
16 Erzya 11.3
17 Croatian 11.64
18 Hungarian 14.43
19 Moldavian 14.81
20 East_German 14.95
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 63.4% South_Polish + 36.6% Lithuanian @ 1.04
2 65.2% Lithuanian + 34.8% Hungarian @ 1.28
3 55% Belorussian + 45% South_Polish @ 1.5
4 55.8% Estonian_Polish + 44.2% South_Polish @ 1.67
5 90.9% Russian_Smolensk + 9.1% Southeast_English @ 1.73
6 60.8% Russian_Smolensk + 39.2% South_Polish @ 1.74
7 87.1% Estonian_Polish + 12.9% North_German @ 1.78
8 90.2% Russian_Smolensk + 9.8% West_German @ 1.82
9 90.2% Russian_Smolensk + 9.8% Danish @ 1.82
10 91% Russian_Smolensk + 9% Orcadian @ 1.82
11 71.6% Polish + 28.4% Southwest_Russian @ 1.84
12 90.6% Russian_Smolensk + 9.4% South_Dutch @ 1.86
13 68.1% Polish + 31.9% Belorussian @ 1.86
14 89.5% Russian_Smolensk + 10.5% North_German @ 1.86
15 84.9% Russian_Smolensk + 15.1% East_German @ 1.87
16 91.7% Russian_Smolensk + 8.3% Southwest_English @ 1.88
17 90.5% Russian_Smolensk + 9.5% North_Dutch @ 1.88
18 88.3% Estonian_Polish + 11.7% West_German @ 1.88
19 88.3% Estonian_Polish + 11.7% Danish @ 1.88
20 91.7% Russian_Smolensk + 8.3% West_Scottish @ 1.91
Ukraine_Zhytomyrska:Zhytomyr_district_Veresy_EG600 049,30.13,46.36,9.70,3.06,8.04,0.22,1.01,0.00,0.90 ,0.43,0.00,0.00,0.16
look how Suceava and Botosani counties look like 50-50 mixes of westcentral Moldova (Vaslui and Neamt counties) and Chernivtsi region (didn't include the 8% Siberian outlier from Zastavna), the two counties in northeastern Romania being a bridge between Romanians and Ukrainians (Tulcea in the southeast is the same, probably through mixing with local Hohol Ukrainians and Lipovan Russians):
Ukraine_Bukovina_Chernivtsi (Шернєуц)
24.02 N_Atlantic
35.22 Baltic
14.87 West_Med
8.42 West_Asian
10.7 East_Med
Romania_Bukovina_Suceava (Сушява)
25.81 N_Atlantic
31.48 Baltic
14.19 West_Med
8.48 West_Asian
13.81 East_Med
Romania_Moldova_Botosani (Ботшєнь)
25.19 N_Atlantic
31.9 Baltic
14.63 West_Med
8.83 West_Asian
14.46 East_Med
Romania_Moldova_Vaslui (Васлуй)
25.57 N_Atlantic
27.52 Baltic
15.61 West_Med
9.54 West_Asian
16.09 East_Med
Romania_Moldova_Neamt (Нямц)
24.64 N_Atlantic
26.93 Baltic
16.89 West_Med
10.8 West_Asian
14.49 East_Med
Romania_Dobrudja_Tulcea (Тулшя)
21.72 N_Atlantic
30.72 Baltic
16.41 West_Med
8.70 West_Asian
16.83 East_Med
That average for Chernivtsi looks more like the average of Romanians there, rather than Ukrainians.
These are all Moldovans/Romanians from Chernivtsi:
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;"></google-sheets-html-origin>
Origin N_Atlantic Baltic West_Med West_Asian East_Med Red_Sea South_Asian East_Asian Siberian Amerindian Oceanian NE_African Sub-Saharan Cernauti 25.05 32.68 12.58 12.66 13.32 0.16 0.10 1.33 0.85 0.70 0 0.23 0.35 1/2 Costiceni, 1/2 Noua Sulita 23.12 37.30 11.60 10.61 14.04 0.14 0 0 1.60 0.85 0.10 0.40 0.24 Cernauti, 3/8 Ukrainian 22.57 39.44 13.22 4.79 14.99 1.85 1.09 0.26 1.79 0 0 0 0 Cernauti 27.94 29.90 13.97 8.17 10.84 4.59 1.30 1.34 0.76 0.27 0.75 0.15 0
Average (without the 3/8 Ukrainian)
<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;"></google-sheets-html-origin><google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;"></google-sheets-html-origin>
N_Atlantic Baltic West_Med West_Asian East_Med Red_Sea South_Asian East_Asian Siberian Amerindian Oceanian NE_African Sub-Saharan 25.37 33.29 12.72 10.48 12.73 1.63 0.47 0.89 1.07 0.61 0.28 0.26 0.20
Why almost south-western Ukrainians, despite a more significant Mediterranean admixture compared to other Ukrainians, are not close to Romanians and Vlachs in K-13? Because Romanians have West Med component approximately equal East Med. But south-western Ukrainians have West Med component approximately one and a half times more than East Med.
It makes sense for me.
Distance to: Gergő
4.40092036 Zakarpatska
4.89789751 Ivano-Frankivska
5.00023999 Ternopilska
5.31689759 Lvivska
6.66213930 Kropyvnytska
7.07973163 Ukrainian_avg
8.20398074 Zaporizka
8.28629592 Krym
8.85219182 Cherkaska
9.12596296 Poltavska
9.52941236 Chernivetska
9.74496280 Harkivska
9.94234379 Zhytomyrska
10.58880069 Donetska
10.85052072 Rivnenska
10.89854577 Sumska
11.29491478 Chernihivska
11.43429928 Dnipropetrovska
11.78319990 Kyivska
15.37903443 Volynska
My half brother fits almost too well :-0
noricum_halfbro(austrian),27.38,41.09,12.60,3.48,9 .44,1.47,2.72,0.19,0.22,0.07,1.00,0.23,0.00
Target: noricum_halfbro(austrian)
Distance: 1.2448% / 1.24483336
30.0 Ukraine_Sumska
28.8 Ukraine_Ivano-Frankivska
24.1 Ukraine_Kropyvnytska
16.4 Ukraine_Krym
0.7 o_Ukraine_Zhytomyrska
Distance to: noricum_halfbro(austrian)
2.94341638 Ukraine_Lvivska:Sambir_EG600033
3.41149527 Ukraine_Zakarpatska:Uzhgorod_EG600095
3.86804860 Ukraine_Lvivska:Skole_district_Nyzhne_Synevydne_EG 60006_
3.98705405 Ukraine_Kropyvnytska:Novomyrgorod_EG600022
4.01059846 Ukraine_Zaporizka:Berdyansk_EG600013
4.26254619 Ukraine_Sumska:Krasnopillya_district_Porozok_EG600 083
4.54175076 Ukraine_Rivnenska:EG600043_
4.60777604 Ukraine_Ternopilska:Monastyrysk_district_Kovalivka _EG600030
4.62980561 Ukraine_Chernihivska:EG600051_
4.74554528 Ukraine_Rivnenska:R1b8_
4.76216337 Ukraine_Krym:Krasnoperekopsk_EG600031
4.94093109 Ukraine_Sumska:Sumy_district_Solidarne_EG600078
5.11675679 Ukraine_Lvivska:Lviv_ULV293
5.13804438 Ukraine_Lvivska:EG600064_
5.19306268 Ukraine_Zakarpatska:Vynogradiv_district_Oleshnyk_E G60009
5.20655356 Ukraine_Lvivska:Mykolaiv_EG600061
5.38628815 Ukraine_Zakarpatska:Uzhgorod_EG600096
5.40029629 Ukraine_Zakarpatska:Uzhgorod_EG600034
5.45833308 Ukraine_Zhytomyrska:EG600046_
5.56637225 Ukraine_Donetska:Gorlivka_EG600026
5.60438221 Ukraine_Chernihivska:Chernihiv_district_Redkivka_E G600059
5.64521036 Ukraine_Chernihivska:Kozelets_district_Lemeshi_EG6 00053
5.75079994 Ukraine_Poltavska:Kremenchuk_EG600015
6.23899832 Ukraine_Ivano-Frankivska:apricity_
6.25458232 Ukraine_Ivano-Frankivska:apricity_
I think nobody did, least of all my brother.
Since our known patrilinear lineage only goes back to our grandfather, we even thought about the possibility of an Ukrainian great-grandfather since there was a camp during WW1 were forcibly relocated Ukrainians and Poles had to stay. Some remained after the war. But there is no proof for this idea and even then we wold only be 1/8 Ukrainian which doesn't explan his 41% Baltic. The better way is probably to test his Carinthian Slovene mum and look at her results.
See:
У 1914-1917 роках в Вольсбергу містився табір для українських виселенців з Галичини й Буковини, число їх доходило до 10 000 чоловік. У таборі, як і в багатьох інших таборах в інших містах Австрії, були тяжкі умови життя.
Can someone share all the results posted so far, if that's saved somewhere?
From Kalyny, Zakarpatska oblast
North_Atlantic 32.24 Pct Baltic 34.51 Pct West_Med 11.3 Pct West_Asian 6.32 Pct East_Med 10.89 Pct Red_Sea 2.3 Pct South_Asian - East_Asian - Siberian 0.44 Pct Amerindian 0.97 Pct Oceanian 0.81 Pct Northeast_African - Sub-Saharan 0.21 Pc
A big account from Kiev. I'm censoring the names but if you are from Ukraine or Russia you can still guess them.
Spoiler!
here:
it's all the academics, and from those posted in thread smd555 filtered out those which seem confirmed and ok for averages.Code:Cherkaska:Hrystynivka_district_Rossoshky_EG600087,25.34,45.49,10.16,5.48,8.20,0.33,0.92,0.05,3.37,0.64,0.01,0.00,0.00
Cherkaska:Tsherk_UCH945,24.60,43.16,10.52,8.12,6.57,1.44,0.86,0.53,2.47,0.05,1.39,0.29,0.00
Cherkaska:Zlotonosha_,32.78,42.90,10.50,2.87,6.31,0.31,1.15,0.00,2.56,0.06,0.00,0.56,0.00
Chernihivska:Chernihiv_district_Karhivka_EG600052,22.97,51.49,8.77,5.69,6.31,0.61,0.87,0.53,0.67,0.83,0.83,0.01,0.43
Chernihivska:Chernihiv_district_Kovpyta_EG600054,27.50,46.56,6.86,7.98,6.09,1.32,1.15,1.01,1.40,0.13,0.00,0.00,0.00
Chernihivska:Chernihiv_district_Redkivka_EG600059,25.01,45.24,12.29,4.22,8.74,0.01,1.00,0.02,1.62,0.46,1.39,0.00,0.00
Chernihivska:EG600051_,24.39,44.09,12.39,4.31,8.55,0.51,3.30,0.98,0.40,0.04,1.04,0.00,0.00
Chernihivska:EG600056_,24.97,48.31,8.90,7.46,6.36,0.65,0.64,0.15,1.00,0.60,0.92,0.00,0.01
Chernihivska:Kozelets_district_Lemeshi_EG600053,26.95,43.12,12.61,6.51,6.51,1.26,0.25,0.09,1.74,0.15,0.00,0.80,0.00
Chernihivska:Kulykiv_district_Kovchyn_EG600060,27.29,46.75,9.85,6.29,4.73,1.02,1.11,1.34,0.20,0.00,0.52,0.53,0.38
Chernihivska:Ripky_district_Syberezh_EG600055,26.45,48.16,9.39,5.56,7.16,0.12,0.64,0.33,0.98,0.14,0.11,0.97,0.00
Chernihivska:Ripky_EG600057,25.08,48.40,8.65,5.37,5.27,2.95,1.07,1.28,0.07,1.16,0.63,0.00,0.07
Chernihivska:Tshern_Ucering2209,27.49,46.62,11.02,8.62,1.03,1.72,1.69,0.00,0.25,0.38,0.22,0.58,0.40
Chernivetska:Chernivtsi_apricity,22.53,36.68,12.45,11.12,13.45,0.92,0,0.37,1.3,1.01,0.17,0,0
Chernivetska:R1a1c_,24.02,35.22,14.87,8.42,10.70,1.63,0.00,0.00,1.97,1.29,0.83,1.01,0.00
Chernivetska_o:Zastavne_district_Zadubrivka_EG600019,24.68,34.39,6.08,13.08,7.88,0.79,0.63,2.72,8.90,0.50,0.09,0.03,0.23
Dnipropetrovska:Dnipropetrovsk_district_Kirovske_EG600074,28.30,43.80,10.78,5.41,4.90,0.13,2.13,0.00,1.74,1.10,1.31,0.03,0.37
Dnipropetrovska:Dnipropetrovsk_district_Pidhorodnye_EG600071,27.27,44.06,11.17,6.29,4.82,1.86,0.06,0.00,2.80,1.61,0.01,0.04,0.00
Dnipropetrovska:EG600065_,26.18,44.17,12.95,6.40,3.87,0.86,1.73,0.02,2.18,0.02,0.61,0.01,0.99
Dnipropetrovska:EG600066_,24.91,47.01,10.05,6.65,4.84,1.09,1.59,0.30,2.68,0.84,0.02,0.00,0.00
Dnipropetrovska:EG600067_,28.10,51.26,7.28,5.53,1.96,1.11,1.23,0.50,1.77,0.00,0.12,1.11,0.03
Dnipropetrovska:EG600068_,25.61,50.26,9.56,5.68,4.80,0.49,0.30,0.08,1.50,0.35,0.59,0.06,0.71
Dnipropetrovska:EG600069_,28.48,47.97,8.15,5.44,5.50,1.30,0.14,1.18,0.33,0.98,0.54,0.00,0.00
Dnipropetrovska:EG600070_,23.21,47.60,9.51,6.43,6.20,0.84,1.68,0.79,1.78,1.13,0.60,0.24,0.01
Dnipropetrovska:EG600072_,29.08,42.25,12.88,5.82,4.05,0.91,0.00,0.59,2.28,0.59,0.90,0.57,0.06
Dnipropetrovska:EG600073_,25.72,42.81,8.45,6.35,5.71,2.74,0.99,1.01,5.49,0.45,0.04,0.23,0.01
Donetska:apricity_,26.40,46.57,10.05,6.80,6.93,0.00,0.00,0.00,1.57,0.90,0.47,0.00,0.31
Donetska:Donetska_oblast_Bahmut_apricity,20.87,39.68,14.42,11.79,5.98,1.47,0,1.79,3.42,0.57,0,0,0
Donetska:Gorlivka_EG600026,27.20,44.75,10.87,3.74,6.93,1.25,0.86,0.00,1.77,1.03,0.48,0.10,1.02
Donetska:Makiivka_EG600029,23.75,46.87,9.98,4.94,6.32,1.66,0.62,1.79,3.68,0.11,0.10,0.15,0.02
Donetska:Slovyansk_EG600025,28.07,45.78,8.48,7.60,5.75,1.04,1.51,0.09,0.69,0.78,0.00,0.20,0.00
Harkivska:EG600023_,28.73,42.83,12.50,6.69,4.91,0.86,0.65,0.03,1.49,0.41,0.34,0.20,0.35
Harkivska:Kaniv/Kharkiv_apricity,27.26,44.33,11.57,1.51,9.11,0.95,0.92,0,1.97,1,0,0.69,0.7
Harkivska:Kharkiv_1_apricity,20.68,41.66,8.38,11.62,12.97,0.57,0.46,1.36,0.48,1.17,0.63,0,0
Harkivska:Kharkiv_2_apricity,24.1,47.44,8.44,7.54,6.51,1.25,2.65,0.22,0.88,0.36,0.24,0.36,0
Harkivska:Kharkiv_3_apricity,22.96,51.04,5.87,7.42,8.12,1.18,1.32,0,0.77,0.86,0.08,0.39,0
Harkivska:Kharkiv_4_apricity,26.82,44.99,11.5,5.18,5.86,0,3.54,0,1.05,0.28,0,0,0.78
Harkivska:Kharkiv_5_apricity,25.25,49.28,9.52,5.43,5.88,0.74,0.7,0,1.63,0.3,0,0,1.28
Harkivska:Kharkiv_6_apricity,27.8,46.63,11.23,5.42,5.53,0,0,0,1.13,0.93,0.17,1.17,0
Harkivska:Kharkiv_7_apricity,22.77,45.63,9.73,7.04,10.41,0,1.46,1.64,0.35,0.29,0,0.53,0.13
Harkivska:Kharkiv_8_apricity,29.13,45.81,9.86,8.52,3.14,0,0.43,1.74,0.15,0.47,0.75,0,0
Harkivska:r1a1c_,25.49,46.63,11.67,4.44,5.41,1.93,0.64,0.00,1.18,1.83,0.78,0.00,0.00
Ivano-Frankivska:apricity_,28.05,36.37,13.56,6.71,9.61,2.15,1.22,0.00,1.40,0.38,0.31,0.00,0.22
Ivano-Frankivska:apricity_,27.47,35.15,15.53,4.92,10.63,3.25,1.36,0.55,0.95,0.00,0.00,0.00,0.19
Ivano-Frankivska:apricity_,25.02,38.33,14.59,6.90,8.75,1.90,0.50,1.10,2.02,0.51,0.39,0.00,0.00
Ivano-Frankivska:IvanoFrankivsk_apricity,25.9,39.5,14.37,5.55,9.86,0,1.3,0,1.38,1.42,0.29,0.44,0
Ivano-Frankivska:Rogatyn_EG600024,31.35,38.28,11.11,8.32,5.25,0.85,1.25,0.26,1.42,1.34,0.03,0.55,0.00
Ivano-Frankivska:UKR_IF_ION_1,29.11,36.54,13.52,5.76,11.18,0.00,0.00,0.00,2.17,0.75,0.00,0.00,0.96
Ivano-Frankivska:UKR_IF_ION_10,24.62,37.38,14.91,5.85,11.35,3.37,0.00,0.00,1.65,0.20,0.67,0.00,0.00
Ivano-Frankivska:UKR_IF_ION_2,27.11,37.38,12.55,4.40,12.93,2.10,0.00,0.00,3.22,0.29,0.00,0.00,0.00
Ivano-Frankivska:UKR_IF_ION_3,28.09,36.85,13.54,5.22,12.79,0.00,1.12,0.00,1.84,0.00,0.56,0.00,0.00
Ivano-Frankivska:UKR_IF_ION_4,23.99,35.97,15.62,8.12,10.41,0.69,2.01,1.01,1.25,0.78,0.00,0.15,0.00
Ivano-Frankivska:UKR_IF_ION_5,29.30,38.66,10.90,5.47,12.03,0.64,0.69,0.00,0.23,0.93,0.18,0.94,0.00
Ivano-Frankivska:UKR_IF_ION_6,26.73,37.91,15.60,5.36,11.70,0.00,1.00,0.00,0.00,0.60,0.00,0.00,1.09
Ivano-Frankivska:UKR_IF_ION_7,24.63,40.69,13.94,6.02,8.42,2.41,2.26,0.65,0.37,0.42,0.18,0.00,0.00
Ivano-Frankivska:UKR_IF_ION_8,23.65,42.35,13.61,5.30,8.99,1.24,2.61,0.38,1.37,0.10,0.00,0.40,0.00
Ivano-Frankivska:UKR_IF_ION_9,24.52,40.65,14.67,2.83,12.23,0.71,1.57,0.00,1.36,0.91,0.45,0.07,0.00
Khmelnytska:Kamianets_Podilskii_apricity,25.33,38.58,13.26,7.47,9.85,1.84,0.45,0.32,2.37,0.34,0,0,0.2
Khmelnytska:Yarmolyntsi_apricity,35.92,34.51,15.04,8.63,0.66,0.55,2.06,1.31,0,0.41,0.18,0.72,0
Kropyvnytska:EG600092_,29.37,40.50,10.59,8.47,4.51,0.02,4.37,0.00,0.50,0.73,0.74,0.19,0.00
Kropyvnytska:Novomyrgorod_EG600022,25.65,44.05,12.01,4.07,9.27,0.11,2.93,0.00,0.59,0.53,0.17,0.00,0.63
Krym:Krasnoperekopsk_EG600031,29.03,42.58,9.40,4.38,10.12,0.05,0.97,0.03,0.68,0.84,1.09,0.78,0.06
Kyivska:Bila_Tserkva_EG600091_,23.42,46.90,9.51,6.86,6.93,0.99,0.08,1.25,1.98,0.00,0.64,0.00,1.44
Kyivska:Kiev1,25.90,43.89,11.21,6.22,9.75,1.23,0.00,0.00,0.00,0.45,0.76,0.00,0.60
Kyivska:Kiev10,26.62,46.05,10.63,7.83,2.95,0.00,1.69,0.00,0.71,0.66,1.94,0.00,0.91
Kyivska:Kiev11,30.66,39.21,9.84,6.72,6.55,0.03,0.89,0.00,3.59,1.13,0.66,0.00,0.72
Kyivska:Kiev12,27.57,41.15,11.52,5.94,7.44,1.92,1.00,0.00,1.92,0.60,0.72,0.00,0.21
Kyivska:Kiev13,20.27,48.74,12.57,5.24,7.98,1.76,0.26,0.00,1.10,1.67,0.41,0.00,0.00
Kyivska:Kiev14,24.60,49.59,10.17,5.69,4.01,1.18,1.62,0.00,0.00,2.20,0.00,0.00,0.95
Kyivska:Kiev15,27.54,42.91,10.90,3.83,10.66,0.00,0.00,1.78,1.10,0.39,0.00,0.00,0.89
Kyivska:Kiev16,25.40,48.89,11.12,4.27,6.78,0.00,0.00,0.00,2.00,0.00,0.71,0.00,0.84
Kyivska:Kiev17,25.55,44.10,10.38,6.00,8.04,2.03,1.35,0.93,1.63,0.00,0.00,0.00,0.00
Kyivska:Kiev18,25.38,47.01,10.20,6.63,6.37,2.01,0.05,0.00,1.02,0.69,0.18,0.46,0.00
Kyivska:Kiev19,22.98,47.96,8.16,7.58,8.57,0.13,1.97,0.02,2.38,0.00,0.24,0.00,0.00
Kyivska:Kiev2,24.96,43.94,10.33,3.70,9.55,4.60,0.00,1.88,0.38,0.66,0.00,0.00,0.00
Kyivska:Kiev20,25.89,48.78,8.33,6.13,4.61,1.78,2.01,0.00,0.37,1.65,0.00,0.00,0.44
Kyivska:Kiev21,28.71,44.44,11.73,6.36,5.11,0.00,1.07,0.64,0.00,0.74,0.74,0.19,0.27
Kyivska:Kiev22,24.93,45.25,12.96,4.40,6.87,1.28,0.46,0.76,0.00,1.85,0.00,0.35,0.90
Kyivska:Kiev23,27.85,38.47,15.23,4.14,8.27,1.41,1.72,0.00,1.28,0.29,1.29,0.03,0.00
Kyivska:Kiev24,29.73,43.76,12.04,3.33,4.41,1.25,1.88,0.05,1.66,0.57,1.23,0.09,0.00
Kyivska:Kiev27,26.13,40.35,10.92,7.13,11.15,0.60,1.89,0.00,0.68,0.30,0.29,0.56,0.00
Kyivska:Kiev28,24.76,46.87,11.21,7.42,6.42,0.88,0.66,1.64,0.00,0.00,0.03,0.11,0.00
Kyivska:Kiev3,23.77,49.06,9.75,9.69,3.57,0.00,0.42,0.72,2.11,0.01,0.78,0.12,0.00
Kyivska:Kiev4,27.38,48.11,6.10,8.34,4.55,0.07,0.00,0.00,3.24,1.25,0.00,0.96,0.00
Kyivska:Kiev5,26.12,45.57,11.25,6.45,5.25,2.80,0.00,0.00,0.59,0.00,0.20,0.63,1.14
Kyivska:Kiev6,28.24,45.91,9.33,6.24,4.44,0.37,2.48,0.59,0.00,1.33,0.32,0.00,0.75
Kyivska:Kiev7,24.76,46.18,9.87,5.59,5.87,0.00,1.66,0.00,3.45,1.54,0.97,0.11,0.00
Kyivska:Kiev8,25.76,47.13,8.90,6.63,4.48,3.13,0.86,0.75,2.21,0.00,0.00,0.14,0.00
Kyivska:Kiev9,27.26,48.08,8.13,5.86,7.37,0.35,0.43,0.00,0.66,0.54,1.31,0.00,0.00
Kyivska:Kyiv_oblast_apricity,30.34,45.39,9.78,4,5.3,2.01,0,0.58,0.46,0.99,0.71,0.45,0
Kyivska_o:Kiev25,15.10,46.29,8.45,8.68,2.46,1.15,0.66,0.75,13.71,1.53,0.01,0.00,1.21
Kyivska_o1:Kiev26,23.57,37.18,7.85,20.02,4.47,1.15,1.88,0.00,2.47,0.00,0.20,0.66,0.56
Luhansk:Luhanska_apricity,28.4,42.66,13.51,4.12,8.17,0,0,0,1.21,1.92,0,0,0
Luhansk_o:Lugansk_EG600093,21.22,30.61,10.26,13.11,16.73,1.18,3.00,0.01,2.06,0.37,0.52,0.21,0.73
Lvivska:EG600062_,26.90,40.77,12.27,9.62,5.07,1.91,2.26,0.00,0.45,0.38,0.03,0.29,0.07
Lvivska:EG600063_,26.69,47.19,10.16,5.66,6.47,1.40,0.05,0.40,0.77,0.36,0.86,0.00,0.00
Lvivska:EG600064_,28.90,40.16,13.92,3.54,6.78,2.34,0.37,0.14,2.85,0.65,0.07,0.23,0.05
Lvivska:Lviv_apricity,24.74,41.16,16.83,10.74,3.71,0.41,1.1,0,0.1,0.9,0.32,0,0
Lvivska:Lviv_ULV293,25.42,41.08,11.58,7.00,8.19,1.73,1.74,0.03,2.62,0.28,0.34,0.00,0.00
Lvivska:molgen_,26.87,34.92,15.12,5.00,15.09,0.32,0.00,0.88,0.40,0.52,0.22,0.67,0.00
Lvivska:Mykolaiv_district_Novyj_Rozdil_EG600090_,27.04,38.74,10.47,10.20,8.09,1.93,1.51,0.03,0.58,1.38,0.03,0.00,0.00
Lvivska:Mykolaiv_EG600061,28.92,39.19,11.52,7.24,9.01,0.80,0.75,0.00,0.60,0.82,0.36,0.46,0.32
Lvivska:Sambir_EG600014,32.04,37.07,10.92,8.22,7.60,1.21,0.70,0.27,1.81,0.17,0.00,0.00,0.00
Lvivska:Sambir_EG600033,28.25,39.95,13.06,4.68,9.69,1.91,1.06,0.24,1.16,0.00,0.00,0.00,0.00
Lvivska:Skole_district_Nyzhne_Synevydne_EG60006_,29.16,42.38,12.16,4.38,7.75,0.15,1.41,0.62,1.62,0.14,0.22,0.00,0.00
Lvivska:Turka_district_Kryvka_EG600018,28.07,36.02,13.50,9.96,8.10,1.06,0.16,0.98,1.16,0.00,0.63,0.00,0.36
Lvivska:Turka_EG600089,28.92,36.59,12.97,7.42,8.32,0.73,2.05,0.92,1.33,0.39,0.36,0.00,0.01
Lvivska:UkrLv215,28.27,45.91,11.42,5.29,2.53,2.41,1.53,0.19,1.36,0,1.07,0,0
Lvivska:UkrLv226,28.19,38.33,12.95,8.5,6.04,1.95,0.91,0.42,0.81,1.11,0.79,0,0
Lvivska:UkrLv228,25.64,41.33,11.58,7.63,7.3,0.82,1.07,0.35,2.18,1.24,0.43,0,0.43
Mykolaivska:Mykolaiv_apricity,22.19,43.66,12.21,8.53,5.94,0,2.26,0.01,3.49,1.27,0.45,0,0
Odeska:Odesa_oblast_1_apricity,24.82,40.06,14.14,5.78,8.66,1.42,1.15,0,1.83,0.97,0,0.65,0.49
Odeska:Odesa_oblast_2_apricity,25.21,40,10.23,6.74,11.15,2.47,0.36,0.86,1.34,0.41,0.28,0,0.94
Poltavska:Kremenchuk_EG600015,25.00,45.47,11.05,3.70,7.89,0.52,2.27,1.04,0.55,1.23,1.15,0.00,0.11
Poltavska:Poltava_oblast_apricity,21.99,42.55,11.61,10.13,7.6,0,0.05,0,3.93,1.71,0.34,0.1,0
Rivnenska:Berezne_district_Zorne_EG600037,25.09,49.23,11.94,1.74,6.22,0.00,0.29,0.47,1.75,1.27,0.82,0.41,0.79
Rivnenska:Berezne_district_Zorne_EG600038,24.74,45.91,11.49,10.00,3.86,0.83,0.77,0.26,1.26,0.06,0.81,0.00,0.00
Rivnenska:EG600042_,30.30,42.08,11.38,6.63,4.69,1.01,0.82,0.03,0.58,1.41,0.42,0.49,0.16
Rivnenska:EG600043_,28.13,41.03,13.63,5.12,6.58,0.93,0.65,0.00,1.61,1.09,0.45,0.29,0.49
Rivnenska:EG600044_,26.18,48.36,10.78,2.31,6.90,0.66,0.83,0.00,0.07,1.58,1.59,0.69,0.04
Rivnenska:Korets_district_Ustya_EG600040,26.72,50.06,8.79,4.16,5.25,0.06,0.95,0.00,2.02,0.61,0.33,0.14,0.91
Rivnenska:R1b8_,28.91,43.12,11.02,4.50,7.35,1.70,0.72,0.00,0.86,1.73,0.08,0.00,0.00
Rivnenska:Rivne_apricity,27.08,46.33,8.59,5.65,10.1,0,0.27,1.22,0,0.77,0,0,0
Rivnenska:Sarny_EG600039,28.98,45.98,7.37,7.14,5.18,0.04,0.53,0.02,1.74,0.82,0.76,0.00,1.44
Rivnenska:UKR01951_Rovenskaya,28.04,45.29,12.53,5.53,3.7,1.88,1.3,0.48,0.11,0.18,0.95,0,0
Rivnenska:UKR01978_Rovenskaya,29.85,44.46,9.18,11.42,0.12,3.09,0,0,0.89,0.68,0.14,0.01,0.17
Rivnenska:UKR01992_Rovenskaya,31.96,47.65,9.32,4.12,3.05,0.46,0,0,1.75,0.19,1.03,0.46,0
Rivnenska:Volodymyrets_EG600017,26.48,47.31,10.49,8.41,2.34,0.60,0.58,1.13,0.40,1.17,1.08,0.00,0.00
Rivnenska:Volovymyrets_district_Velyki_Tseptsevychi_EG600041_,28.30,46.69,10.14,4.78,5.20,1.06,0.82,0.00,1.82,0.40,0.53,0.16,0.09
Sumska:EG600079_,27.17,45.62,8.09,5.23,9.81,0.01,0.20,0.00,1.36,1.64,0.40,0.48,0.00
Sumska:EG600082_,29.80,44.59,8.94,1.70,9.64,0.89,0.36,0.04,1.01,2.01,0.18,0.03,0.82
Sumska:EG600084_,25.51,49.66,9.43,6.65,2.65,1.46,1.98,0.00,1.25,0.02,0.89,0.12,0.37
Sumska:EG600085_,26.63,48.64,9.15,7.79,3.04,0.50,1.44,2.18,0.13,0.00,0.48,0.00,0.00
Sumska:EG600086_,27.05,44.57,9.49,9.50,4.25,1.33,1.91,0.01,1.07,0.09,0.00,0.00,0.72
Sumska:Krasnopillya_district_Porozok_EG600083,27.89,43.51,11.20,2.52,10.15,0.01,1.41,0.54,2.07,0.51,0.00,0.01,0.18
Sumska:Krasnopillya_district_Ugroidy_EG600081,29.10,45.26,7.60,4.20,6.13,2.22,2.76,0.00,1.06,0.18,0.61,0.32,0.55
Sumska:Lebedyn_district_Kaminne_EG600077,26.93,46.51,10.95,5.26,5.55,0.02,0.29,0.01,1.65,0.85,1.53,0.40,0.03
Sumska:Ohtyrka_EG600080,25.87,46.42,10.39,7.51,5.51,0.91,0.71,1.19,0.37,1.12,0.00,0.00,0.01
Sumska:R1a1b_,28.32,45.93,11.70,5.96,3.74,0.34,0.00,0.33,0.92,1.20,1.37,0.00,0.17
Sumska:R1a1c_,26.67,49.09,8.63,5.17,4.92,1.47,0.21,0.00,1.56,0.96,0.20,0.00,1.12
Sumska:Sumy_district_Solidarne_EG600078,27.17,44.56,11.47,2.10,7.14,1.54,2.83,2.11,0.35,0.00,0.72,0.00,0.00
Sumska:UKR01283_Sumskaya,30.73,39.21,15.31,5.65,3.15,3.12,0,0,0.73,1.21,0.24,0.26,0.38
Sumska:UKR01291_Sumskaya,27.9,41.75,14.39,8.24,3.81,0,0.58,0,0.37,1.69,0.88,0,0.38
Sumska:UKR01292_Sumskaya,26.79,49.29,10.68,2.55,4.57,0.7,0.18,0.05,2.73,1.76,0.06,0.64,0.01
Sumska:UKR01377_Sumskaya,25.49,46.53,8.26,6.6,9.46,0.66,0.08,1.21,0.93,0.21,0.04,0.51,0
Sumska:UKR01399_Sumskaya,31.67,45.38,9.45,3.17,6.31,0.49,0,1.08,1.25,0,0.55,0.04,0.6
Ternopilska:Berezhany_district_Narajiv_EG600011,30.32,38.52,11.40,7.57,7.37,1.72,0.49,0.06,1.14,0.75,0.56,0.03,0.07
Ternopilska:Monastyrysk_district_Kovalivka_EG600030,27.24,40.09,14.58,6.46,8.00,0.06,1.46,0.34,0.17,1.21,0.38,0.00,0.00
Volynska:Kovel_EG600021,24.50,49.74,12.13,7.65,2.00,0.76,0.00,1.54,0.73,0.09,0.70,0.00,0.15
Zakarpatska:Irshava_district_Dobrobratovo_EG60002,24.00,37.91,12.91,8.54,11.47,1.24,0.88,0.03,1.94,0.00,0.20,0.45,0.44
Zakarpatska:Mizhgirya_district_Kolochava_EG600032,23.55,38.07,13.83,9.21,9.06,1.87,1.85,0.02,0.90,1.48,0.01,0.09,0.06
Zakarpatska:Mukachevo_EG600088,28.67,47.16,8.61,5.33,6.88,0.07,0.09,0.37,1.34,0.78,0.18,0.22,0.30
Zakarpatska:Mukachiv_district_Zavydovo_EG600012,25.32,33.56,16.87,10.64,10.14,0.02,0.00,0.88,1.92,0.31,0.25,0.04,0.05
Zakarpatska:Mukachiv_district_Zavydovo_EG60007,27.01,34.73,13.35,9.36,11.54,1.37,0.77,0.02,1.81,0.03,0.01,0.00,0.00
Zakarpatska:Perechyn_district_Turji_Remety_EG60008_,24.03,32.03,17.92,6.99,12.04,1.18,1.86,0.00,2.57,0.89,0.01,0.04,0.42
Zakarpatska:Perechyn_EG600097,21.90,38.81,13.69,9.39,6.70,3.88,3.78,0.00,1.44,0.04,0.36,0.00,0.00
Zakarpatska:Rahiv_district_Kosivska_Polyana_EG60001_,30.39,34.01,12.18,7.81,10.85,1.02,0.00,1.36,1.21,0.22,0.00,0.81,0.16
Zakarpatska:Svalyava_EG60003,24.84,40.07,12.20,9.20,9.27,0.07,0.92,0.40,1.14,1.22,0.67,0.00,0.00
Zakarpatska:Tyachiv_district_Krychovo_EG60004,27.23,33.08,13.25,5.82,15.32,1.31,0.46,1.06,1.51,0.13,0.84,0.00,0.00
Zakarpatska:Tyachiv_district_Ternovo_EG600010,25.73,35.89,13.08,7.17,13.50,0.10,2.55,0.52,0.10,1.19,0.00,0.16,0.00
Zakarpatska:Uzhgorod_district_Hudlevo_EG600076,28.44,37.15,11.97,8.60,8.15,2.23,0.46,0.12,1.50,0.01,1.14,0.00,0.23
Zakarpatska:Uzhgorod_district_Lyahivtsi_EG60005,28.56,37.60,12.79,7.95,8.43,1.92,0.45,0.44,0.14,0.62,0.57,0.49,0.03
Zakarpatska:Uzhgorod_EG600034,25.95,41.35,10.66,6.65,10.08,1.47,0.03,1.08,2.27,0.18,0.27,0.00,0.00
Zakarpatska:Uzhgorod_EG600036,30.86,36.23,12.14,7.06,8.39,0.07,1.17,0.00,2.72,0.61,0.17,0.29,0.29
Zakarpatska:Uzhgorod_EG600094,25.75,46.67,12.19,6.39,3.64,0.17,2.54,0.01,1.93,0.70,0.01,0.00,0.00
Zakarpatska:Uzhgorod_EG600095,28.84,40.71,11.62,5.49,8.77,1.27,1.43,0.54,1.25,0.00,0.01,0.03,0.02
Zakarpatska:Uzhgorod_EG600096,27.17,37.78,12.86,5.90,10.71,0.44,0.65,0.40,2.08,1.13,0.47,0.00,0.41
Zakarpatska:Uzhgorod_EG600098,28.36,46.67,6.24,6.25,8.39,0.04,1.21,0.29,0.56,0.63,0.84,0.36,0.17
Zakarpatska:Velykyj_Bereznyj_district_Malyj_Bereznyj_EG600016,27.14,41.97,12.57,9.06,3.77,0.03,2.75,0.00,1.17,1.24,0.05,0.17,0.08
Zakarpatska:Velykyj_Bereznyj_EG600020_,22.11,42.84,14.36,5.35,8.24,2.66,1.76,1.09,0.79,0.50,0.18,0.08,0.02
Zakarpatska:Vynogradiv_district_Koroleve_EG600027,28.59,35.71,12.93,8.92,10.45,0.00,0.63,0.03,0.68,2.05,0.00,0.00,0.02
Zakarpatska:Vynogradiv_district_Oleshnyk_EG60009,26.94,37.80,14.66,5.75,9.69,1.94,0.78,0.44,0.93,1.01,0.00,0.00,0.06
Zakarpatska:Vynogradiv_EG600035,30.16,31.07,14.69,11.09,6.90,2.79,0.09,0.85,1.10,0.88,0.32,0.05,0.01
Zaporizka:Berdyansk_EG600013,27.57,42.74,10.94,6.02,9.61,0.04,1.42,0.01,0.59,0.14,0.71,0.00,0.21
Zaporizka:r1a1d_,26.28,45.92,9.62,3.72,7.61,1.02,2.32,0.00,2.72,0.79,0.00,0.00,0.00
Zaporizka_o:r1a2b,19.89,33.73,9.27,17.00,14.19,1.14,2.42,0.00,0.00,1.31,0.00,1.07,0.00
Zhytomyrska:EG600046_,24.37,43.89,10.73,4.79,10.69,0.91,1.09,1.75,0.46,0.51,0.36,0.46,0.00
Zhytomyrska:EG600047_,24.49,44.65,13.50,5.45,8.45,0.15,0.00,0.00,1.39,1.62,0.00,0.29,0.01
Zhytomyrska:EG600050_,28.76,43.30,10.47,6.75,5.29,0.65,1.72,0.13,1.08,0.28,0.32,0.41,0.84
Zhytomyrska:EG600075_,23.98,52.53,7.15,6.32,3.97,2.21,2.04,0.01,1.36,0.39,0.00,0.05,0.00
Zhytomyrska:Korosten_district_Veselivka_EG600045,27.14,44.55,9.84,9.17,5.68,0.01,0.00,0.00,0.86,0.79,1.38,0.05,0.53
Zhytomyrska:Ovruch_EG600028,27.24,45.29,10.22,7.75,5.41,0.36,0.99,0.09,2.06,0.18,0.20,0.21,0.00
Zhytomyrska:R1a1a_,25.33,46.03,11.53,6.25,8.62,0.00,0.00,0.00,0.73,0.00,0.92,0.21,0.38
Zhytomyrska:UKR01903_Zhitomirskaya,26.39,45.82,7.8,4.43,8.21,1.07,3.08,2.53,0.64,0.03,0,0,0
Zhytomyrska:UKR01909_Zhitomirskaya,24.56,51.21,9.91,5.02,6,0,0.18,0,2.4,0.72,0,0,0
Zhytomyrska:UKR01913_Zhitomirskaya,28.01,41.86,9.15,2.99,12.03,0,0,1.52,2.4,0,0.95,0.03,1.06
Zhytomyrska:UKR02021_Zhitomirskaya,26.79,45.04,9.87,4.66,7.02,1.29,2.44,0.05,0.44,1.4,1,0,0
Zhytomyrska:Zhytomyr_district_Veresy_EG600049,30.13,46.36,9.70,3.06,8.04,0.22,1.01,0.00,0.90,0.43,0.00,0.00,0.16
Zhytomyrska_o:EG600048,16.45,12.19,19.47,11.31,32.12,4.77,0.01,0.53,0.67,0.00,1.01,0.65,0.80
From Lviv
North_Atlantic 24.36 Pct Baltic 43.6 Pct West_Med 11.24 Pct West_Asian 6.97 Pct East_Med 8.8 Pct Red_Sea 1.48 Pct South_Asian 1.08 Pct East_Asian - Siberian 0.82 Pct Amerindian 0.45 Pct Oceanian 0.48 Pct Northeast_African 0.72 Pct Sub-Saharan -
I think it was not posted before. I contacted few years ago with owner of the account. Most if not all kits are from Vinnitsa oblast. If I remember well some have also local Polish ancestry.
But you can contact and verify by yoursefl.
it Number: M205254
Name: Alexander Larionov
Kit Number: M205905
Name: Oleg Evdokimov
Kit Number: M205438
Name: Margarita Evdokimova
Kit Number: M205801
Name: Michael Temosh
Kit Number: M205339
Name: Irina Emtsova
Kit Number: M205555
Name: Maria Temosh
Kit Number: M165351
Name: Natalia Temosh
Kit Number: T329115
Name: Nikolay Revera (215804)
Kit Number: T795805
Name: Ivan Ilchenko (215808)
Kit Number: T433395
Name: Galina Gorbachova (249686)
Kit Number: T483310
Name: Vasily Romaniuk (215807)
Kit Number: T086434
Name: Piotr Andriychuk (277815)
Kit Number: T822369
Name: Lubov Laban (309699)
Kit Number: T801539
Name: Victor Szybicki (277825)
Kit Number: T254870
Name: Vladimir Khomenko (277814)
Kit Number: T833677
Name: Vera Korneichuk (484461)
Kit Number: T309810
Name: Ivan Korneichuk (277822)
Kit Number: T079447
Name: Victor Andriychuk (277819)
Kit Number: T304962
Name: Dmitri Badia (277811)
Kit Number: T803120
Name: Dmitri Badia (277812)
Kit Number: M147049
Name: Boris Gemega
Kit Number: M684634
Name: Maria Basatskaya
Kit Number: M341904
Name: Mikhail Ratnikov
Kit Number: M395192
Name: Vladimir Polikarpov
Kit Number: M331154
Name: Nadezhda Emtsova
Kit Number: M610291
Name: Andrei Soldatov
Kit Number: M433824
Name: Victor Emtsov
Kit Number: T696897
Name: Igor Evdokimov (192608)
Kit Number: T811625
Name: Nikolay Zhukov (419865)
Kit Number: T116755
Name: Boris Gemega (192605)
Kit Number: T792968
Name: Michael Temosh (N53374)
Kit Number: T221634
Name: *M V.-V.
Kit Number: T078468
Name: Anna Surmenko (253242)
Kit Number: T171622
Name: Oleg Rysicz (277807)
Kit Number: T238793
Name: Anatoly Kolomiets (277808)
Kit Number: T395303
Name: Ivan Golubenko (277809)
Kit Number: T379077
Name: Vladimir Oleinik (277810)
Kit Number: T477802
Name: Vasily Levchenko (277816)
Kit Number: T229072
Name: Stepan Prokopenko (277818)
Kit Number: T526267
Name: Vasily Omelchuk (277820)
Kit Number: T364258
Name: Andrey Dziubenko (277823)
Kit Number: T856325
Name: Dmitri Yashchuk (277824)
Kit Number: T151512
Name: Vasily Drobot (277826)
Kit Number: T976350
Name: Victor Dygas (277827)
Kit Number: T491325
Name: Petr Grigoruk (407832)
Kit Number: T887839
Name: Nina Taskaeva (419806)
Kit Number: T700158
Name: Vadim Islavin (277813)
Kit Number: T108726
Name: Nikolay Niedzielski (500848)
Kit Number: T851971
Name: Vladimir Levchenko (277821)
Kit Number: T266755
Name: Alexander Prissovsky (797752)
Kit Number: CA1674267
Name: Victor Emtsov (192317)
Kit Number: QG1810635
Name: George Veliaminov (192318)
Kit Number: ZX9738393
Name: Margarita Evdokimova (524761)
Kit Number: KM1182326
Name: Natalia Temosh (524762)
Kit Number: TN4149234
Name: Mikhail Vorontsov (192606)
Kit Number: SE8877161
Name: Vladimir Vorontsov (215805)
Kit Number: QC2366394
Name: Pavel Vorontsov-Veliaminov (192316)
Kit Number: LG4772377
Name: Michael Temosh (consolidated)
^^^ov surnames are not Ukrainian
All 8 great-grandparents from Kobaky, Ivano-Frankivsk
North_Atlantic 27.48 Pct Baltic 37.72 Pct West_Med 10.36 Pct West_Asian 7.18 Pct East_Med 12.47 Pct Red_Sea 1.56 Pct South_Asian 0.12 Pct East_Asian - Siberian 1.75 Pct Amerindian - Oceanian 1.36 Pct Northeast_African - Sub-Saharan -
Cherkasska oblast
North_Atlantic 28.13 Pct Baltic 43.44 Pct West_Med 12.82 Pct West_Asian 4.78 Pct East_Med 6.48 Pct Red_Sea 1.36 Pct South_Asian - East_Asian 0.45 Pct Siberian 0.93 Pct Amerindian 0.58 Pct Oceanian 0.92 Pct Northeast_African 0.12 Pct Sub-Saharan -
I created a PCA with all the samples except 7 outliers and samples which were posted today.
Also added oblasts averages and assigned colors for each region: Western, Central, Eastern, Southern.
Rivne actually cluster with Central oblasts, but i left the original division:
https://ibb.co/M9msgPX
Something went wrong, but now it's full linked. Click on link: https://ibb.co/M9msgPX
this is a weird PCA. all averages seem to plot on the edge of the cluster? in which program did you make it?
you can try copying this data:
https://www.theapricity.com/forum/sh...=1#post7179863
and just paste it here:
https://vahaduo.github.io/custompca/
and compare it to this one.
For PCA generation i use algorithms which were created by Estonian colleagues: https://biit.cs.ut.ee/
My Estonian cousins are good at mathematics.
Central/Eastern/Southern oblasts averages are close to each other, because distances between oblasts are smaller than distances between particular individuals. It's based only on distances, so oblasts also can form a cluster.
Maybe i shouldn't include averages in the same PCA. I recommend to view individuals and averages as separate entities.
Of course, it's better when averages are imposed at the center of the cluster.
Did you use a distance matrix of the samples as an input for the PCA? Because that produces a U-shaped PCA plot like your plot. You're only supposed to calculate a distance matrix for MDS but not PCA.
I don't know if you did it already, but in the "Data pre-processing" tab of ClustVis, you also need to change "Row scaling" from "unit variance scaling" to "no scaling". The default behavior is to convert the columns of the input table to z-scores, which is useful when the columns of the table contain data in different scales, like for example in a table of anthropological measurements. But it's not needed here.
Anyway, below is a plot where I didn't calculate a distance matrix before the PCA. I excluded samples with the suffix "_o" because some of them stretched the PCA too much. There's so much overlap between the regions that I didn't draw hulls around the samples from each region, because there would've been too many overlapping hulls.
https://i.ibb.co/b3zchxV/a.png
Code:library(tidyverse)
t=read.csv("https://pastebin.com/raw/8JLJg8DE",F,row.names=1)/100
t=t[-grep("_o",rownames(t)),]
t=t[!rownames(t)%in%c("Khmelnytska:Yarmolyntsi_apricity"),]
# t=as.matrix(dist(t)) # compare to a PCA of a distance matrix
p=prcomp(t)
p2=as.data.frame(p$x)
pct=paste0(colnames(p$x)," (",sprintf("%.1f",p$sdev/sum(p$sdev)*100),"%)")
ranges=apply(p2,2,function(x)abs(max(x)-min(x)))
pop=sub(":.*","",rownames(p2))
centers=data.frame(aggregate(p2,by=list(pop),mean),row.names=1)
p2$pop=pop
set.seed(0)
color=as.factor(sample(seq(1,length(unique(p2$pop)))))
col=rbind(c(70,80),c(50,50),c(90,50))
hues=max(ceiling(length(color)/nrow(col)),2)
pal1=as.vector(apply(col,1,function(x)hcl(head(seq(15,375,length=hues+1),-1),x[1],x[2])))
pal2=as.vector(apply(col,1,function(x)hcl(rep(0,hues),0,ifelse(x[2]>=50,0,1))))
i=1
cen2=data.frame(aggregate(t,by=list(pop),mean),row.names=1)
dist2=as.data.frame(as.matrix(dist(cen2)))
seg0=lapply(1:3,function(j)apply(dist2,1,function(x)unlist(centers[names(sort(x)[j]),c(i,i+1)],use.names=F))%>%t%>%cbind(centers[,c(i,i+1)]))
seg=do.call(rbind,seg0)%>%setNames(paste0("V",1:4))
xpc=sym(paste0("PC",i))
ypc=sym(paste0("PC",i+1))
ggplot(p2,aes(!!xpc,!!ypc))+
geom_segment(data=seg,aes(x=V1,y=V2,xend=V3,yend=V4),color="gray80",size=.3)+
geom_point(aes(x=!!xpc,y=!!ypc),color=pal1[color[as.factor(p2$pop)]],size=.3)+
geom_text(aes(x=!!xpc,y=!!ypc,label=rownames(p2)),color=pal1[color[as.factor(p2$pop)]],size=2,vjust=-.6)+
geom_point(data=centers,aes(x=!!xpc,y=!!ypc),color=pal1[color],size=2)+
geom_label(data=centers,aes(x=!!xpc,y=!!ypc,label=rownames(centers)),color=pal2[color],fill=pal1[color],alpha=.8,size=2.2,label.r=unit(.1,"lines"),label.padding=unit(.1,"lines"),label.size=0)+
labs(x=pct[i],y=pct[i+1])+
coord_fixed()+
scale_x_continuous(breaks=seq(-1,1,.05))+
scale_y_continuous(breaks=seq(-1,1,.05))+
theme(
axis.text.x=element_text(margin=margin(.2,0,0,0,"cm")),
axis.text.y=element_text(angle=90,vjust=1,hjust=.5,margin=margin(0,.2,0,0,"cm")),
axis.text=element_text(color="black",size=6),
axis.ticks.length=unit(-.13,"cm"),
axis.ticks=element_line(size=.3,color="gray80"),
axis.title=element_text(color="black",size=8),
legend.position="none",
panel.background=element_rect(fill="white"),
panel.border=element_rect(color="gray80",fill=NA,size=.6),
panel.grid.major=element_line(color="white",size=.2),
panel.grid.minor=element_blank(),
plot.background=element_rect(fill="white",color=NA)
)
ggsave("a.png",width=11,height=11)
system("mogrify -trim -bordercolor white -border 16 a.png")
I got rounder shape. I will do remake. Original titles are too long, so it's hard to read, i replace them with shorter.
https://i.ibb.co/w6jZ6HQ/UA-round.png
From Vinnytsia oblast (Bridok village)
Bridok,27.02,46,8.59,7.28,3.25,3.1,2.29,0,0.81,0,0 .11,0.66,0.88
Distance to: Bridok
3.75664744 Russian_Smolensk
4.82831233 Ukrainian
4.84645231 Russian_Southwest
5.05186104 Polish
5.07276059 Polish_Kielce
5.57916660 Belarusian_Minsk
5.59009839 Russian_average
6.19462670 Belorussian
7.38395558 Polish_Masuria
7.39628961 South_Polish
7.68490729 Russian_Kostroma
8.00220595 Mordovian
8.01975062 Russian_Kargopol
8.55432055 Moldova_Ukrainian
8.81542398 Ukrainian_Galicia
9.48556271 Lithuanian
9.48887243 Sorb_Lusatia
10.19104999 Russian_Northern_Dvina
10.53536426 Estonian
11.56948141 Ukrainian_Carpathian
11.93811962 Slovak
12.19875403 Finnish
12.34531085 East_Finnish
12.59966666 Czech
13.86463847 Latvian
https://anthrogenica.com/showthread....ch-in-comments
Russian Old Believers (Lipovans) from Vinnytsia oblast
North_Atlantic 26.67 Pct
Baltic 51.35 Pct
West_Med 8.95 Pct
West_Asian 4.87 Pct
East_Med 3.42 Pct
Red_Sea -
South_Asian -
East_Asian -
Siberian 2.62 Pct
Amerindian 1.01 Pct
Oceanian -
Northeast_African 0.42 Pct
Sub-Saharan 0.67 Pc
North_Atlantic 22.55 Pct
Baltic 51.89 Pct
West_Med 12.59 Pct
West_Asian 3.45 Pct
East_Med 4.5 Pct
Red_Sea -
South_Asian -
East_Asian -
Siberian 2.61 Pct
Amerindian 0.88 Pct
Oceanian 0.21 Pct
Northeast_African 0.29 Pct
Sub-Saharan 1.03 Pc
North_Atlantic 26.43 Pct
Baltic 51.14 Pct
West_Med 11.11 Pct
West_Asian 5.56 Pct
East_Med -
Red_Sea -
South_Asian 1.05 Pct
East_Asian 0.32 Pct
Siberian 1.61 Pct
Amerindian 1.37 Pct
Oceanian 0.57 Pct
Northeast_African 0.84 Pct
Sub-Saharan -
North_Atlantic 30.14 Pct
Baltic 49.7 Pct
West_Med 6.47 Pct
West_Asian 1.2 Pct
East_Med 5.93 Pct
Red_Sea 1.72 Pct
South_Asian 0.81 Pct
East_Asian -
Siberian 2.04 Pct
Amerindian 0.34 Pct
Oceanian 1.65 Pct
Northeast_African -
Sub-Saharan -
If you read about the population movements in Ukraine (and everywhere else), it is impossible for any population to represent one from 1500 years ago.
Vast majority of Ukraine around 1600 including the Kyiv region (everything except the west and southern Podolia) was completely unpopulated after the Mongol invasions and occupation and then repopulated by people from western Ukraine, Poland, Belarus, and later Russia. Not to mention the frequent immigration from Poland to the west or from Russian serfs (after mixing with native Russian populations) into the Cossacks.
The reason why we might see the north and east cluster together is perhaps because similar groups came together and blended to form a similar average. At least with regard to the parameters that are measured in tests like this.
Again, trying to establish any purity this way is a bit ignorant. The population movements have been far too significant for this sense of purity to be realistic.
There are different reasons why the southwest would plot differently than the rest of the nation.
1) Russians from far north did not colonize the southwest like they did regions in the north, east, and south
2) Masses of Russian serfs did not move to the southwest to join the Cossacks like they did in other regions
3) The southwest was not part of the Russian Empire from the 1700s until the 1900s, so there wasn't as much northern genetic addition during that period for that region
4) The southwest has always been very population dense even going back to the middle ages, so modern population movements to there from, for example, Poland or pre-Soviet Russia or even the Soviet Union weren't going to have as much of an effect as they would in historically sparsely populated regions, where it was easy to completely displace whatever native population existed.
Galicia has actually had one of the more stable populations in all of Ukraine whereas most of the present nation is made up largely of more modern people moving there, mostly from more northern regions as Ukraine was typically at the southern periphery of whatever empire it was a part of (on that note, this probably even occurred to some extent during the Kievan Rus period as Ukraine was then also at the southern periphery of its empire). For linguistic reasons, it was also more likely for a Belarusian or Russian to move to neighbouring parts of Ukraine during the Soviet era than for a Romance speaker from the south to move north. In most of the regions of Ukraine, there was much more potential for the addition of more northern admixture than there was for more southern admixture.
These two-dimensional plots that you guys are posting are just pseudoscience because, if you take a Polish person who we presume is 1/2 Slavic + 1/2 German and mix them with a Russian who we presume is 1/2 Slavic + 1/2 Finno-Ugric, we end up with someone who plots directly in the middle who you might assume looks 100% super-Slavic. But, in this case, the resulting combination would still only be 1/2 Slavic. In most of Ukraine, people mixed from southwestern Ukraine, Poland, Belarus, and especially Russia who contributed massively to the modern Ukrainian gene pool. This naturally resulted in an intermediate population who plots between the others, but this intermediate is no more Slavic than its constituent parts. K13 obviously has these same limitations and it is rather useless if not considered with historical context at the very least. And it definitely can't be used to establish proxies of populations that existed 1500 years ago. Especially somewhere like Ukraine that underwent so many population shifts and where people were constantly moving around and mixing from different areas.