G25 is absolutely inferior to K13 when it comes to moderns, and people even need to pay for that trash. No comment.
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Here is the final set of academic samples:
thanks to Lucas for the dataset.Code:UKR-1951_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
UKR-1978_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
UKR-1992_Rovenskaya,31.96,47.65,9.32,4.12,3.05,0.46,0,0,1.75,0.19,1.03,0.46,0
UKR-1283_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
UKR-1291_Sumskaya,27.9,41.75,14.39,8.24,3.81,0,0.58,0,0.37,1.69,0.88,0,0.38
UKR-1292_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
UKR-1377_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
UKR-1399_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
UKR-1903_Zhitomirskaya,26.39,45.82,7.8,4.43,8.21,1.07,3.08,2.53,0.64,0.03,0,0,0
UKR-1909_Zhitomirskaya,24.56,51.21,9.91,5.02,6,0,0.18,0,2.4,0.72,0,0,0
UKR-1913_Zhitomirskaya,28.01,41.86,9.15,2.99,12.03,0,0,1.52,2.4,0,0.95,0.03,1.06
UKR-2021_Zhitomirskaya,26.79,45.04,9.87,4.66,7.02,1.29,2.44,0.05,0.44,1.4,1,0,0
One to many on GEDmatch, combined with some googling to find the person. I've only posted those that I could track down. If you want to go deeper to get both sides of the family tree, then you would need to email them. Some of them have GEDmatch trees, but that's a rarity.
is the Lundiak family already in here? (maybe in a slightly different version from what I have?)
https://www.theapricity.com/forum/sh...ical-to-Croats
samples 1 and 4 have results simialr to 2 of them.
It's usually by chance, but if you are lucky then you will see strong matches at the top (70cm+) for someone. In cases like this they could descend from same or nearby localities. Another trick is to take two kits from a region/locality and use them for "People who match both, or 1 of 2 kits". It's a tedious process, there is no easy way for this, as GEDmatch doesn't have a proper global search function. You can only search for those surnames that have trees.
I'll add some more tomorrow
Quote:
ukr1, 19.93,48.41,13.03,7.43,7.26,0,2.94,0.56,0,0,0.12,0 ,0.34
ukr2,27.9,39.3,13.46,6.2,8.22,0,1.76,0,2.05,0.61,0 .47,0,0 QM7862534
ukr3,26.84,34.9,15.12,5.03,15.08,0.34,0,0.87,0.41, 0.52,0.22,0.67,0 M464439
ukr4,28.9,43.25,8.42,8.8,6.51,0.14,0.34,0,1.75,0.2 ,0.63,0.96,0.11
ukr5,28.47,43.03,9.23,6.32,9.2,1.43,0,1.34,0,0.62, 0.07,0,0.3
ukr6,30.63,39.95,12.74,6.87,3.94,1,1.72,1.02,0.75, 0.66,0,0.08,0.63
ukr7,29.06,40.34,11.94,4.55,6.64,2.75,0,0.22,2.57, 0.93,0.85,0,0.15
ukr8,29.83,42.15,13.28,8.56,2.62,0,0.92,0,0,1.88,0 .72,0,0.05
ukr9,26.21,48.56,12.5,4.67,3.31,1.08,1.46,0,0.96,0 .97,0,0.28,0
ukr10,29.05,43.2,12.41,5.55,4.75,0,2.1,0.47,1.59,0 .65,0,0.23,0
ukr11,27.19,44.03,11.89,3.74,8.85,1.3,0.92,1.18,0. 27,0.28,0.36,0,0
ukr12,26.49,43.46,12.06,5.44,8.21,0.44,0.4,1.26,0, 0.68,1.57,0,0
ukr13,30.96,44.83,7.79,6.56,6.5,0,1.91,0,0.12,1,0, 0,0.32
ukr14,26.4,43.64,10.08,6.53,6.87,0.81,2.33,0,2,0.9 4,0.4,0,0
ukr15,23.26,46.76,13.26,6.19,6.02,0,0.54,0.98,0.19 ,2.19,0.01,0.6,0
ukr16,25.16,48.4,10.46,5.76,6.72,0.31,0.13,0,1.59, 0,0.2,1.06,0.21
ukr17,27.09,43.77,12.48,6.56,6.62,0.74,1.5,0.2,0,0 .38,0.66,0,0
ukr18,27.39,43.92,12.22,4.61,8.24,0.06,0.47,0.54,0 ,1.37,0.35,0.82,0
ukr19,22.44,49.58,10.56,5.25,8.52,0.89,0.29,0.65,1 .21,0,0,0.26,0.35
Mykolaiv,22.19,43.66,12.21,8.53,5.94,0,2.26,0.01,3 .49,1.27,0.45,0,0
Kyiv_oblast,30.34,45.39,9.78,4,5.3,2.01,0,0.58,0.4 6,0.99,0.71,0.45,0
Poltava_oblast,21.99,42.55,11.61,10.13,7.6,0,0.05, 0,3.93,1.71,0.34,0.1,0
Odesa_oblast_1,24.82,40.06,14.14,5.78,8.66,1.42,1. 15,0,1.83,0.97,0,0.65,0.49
Odesa_oblast_2,25.21,40.00,10.23,6.74,11.15,2.47,0 .36,0.86,1.34,0.41,0.28,0,0.94
angiesiveria,24.56,42.02,14,6.73,8.52,0,0.92,1.74, 0,5.57,0.6,0.33,0
Kharkiv_1,20.68,41.66,8.38,11.62,12.97,0.57,0.46,1 .36,0.48,1.17,0.63,0,0
Kharkiv_2,24.1,47.44,8.44,7.54,6.51,1.25,2.65,0.22 ,0.88,0.36,0.24,0.36,0
Kharkiv_3,22.96,51.04,5.87,7.42,8.12,1.18,1.32,0,0 .77,0.86,0.08,0.39,0
Kharkiv_4,26.82,44.99,11.5,5.18,5.86,0,3.54,0,1.05 ,0.28,0,0,0.78
Kharkiv_5,25.25,49.28,9.52,5.43,5.88,0.74,0.7,0,1. 63,0.3,0,0,1.28
Kharkiv_6,27.8,46.63,11.23,5.42,5.53,0,0,0,1.13,0. 93,0.17,1.17,0
Kharkiv_7,22.77,45.63,9.73,7.04,10.41,0,1.46,1.64, 0.35,0.29,0,0.53,0.13
Kharkiv_8,29.13,45.81,9.86,8.52,3.14,0,0.43,1.74,0 .15,0.47,0.75,0,0
Kaniv/Kharkiv,27.26,44.33,11.57,1.51,9.11,0.95,0.92,0,1. 97,1,0,0.69,0.7
Lviv, 24.74,41.16,16.83,10.74,3.71,0.41,1.1,0,0.1,0.9,0. 32,0,0
Khmelnytska_oblast_Yarmolyntsi,29.11,36.54,13.52,5 .76,11.18,0,0,0,2.17,0.75,0,0,0.96
Khmelnytska_oblast_Kamianets_Podilskii,25.33,38.58 ,13.26,7.47,9.85,1.84,0.45,0.32,2.37,0.34,0,0,0.2
Chernivtsi, 22.53,36.68,12.45,11.12,13.45,0.92,0,0.37,1.3,1.01 ,0.17,0,0
Updated average with that family and another one I posted earlier.
n=14
Code:Ukrainian_Ivano_Frankivsk,26.30,38.12,14.07,5.60,10.78,1.32,1.12,0.26,1.37,0.52,0.22,0.14,0.18
Quote:
Donetska_oblast_Bahmut,20.87,39.68,14.42,11.79,5.9 8,1.47,0,1.79,3.42,0.57,0,0,0
IvanoFrankivsk,25.9,39.5,14.37,5.55,9.86,0,1.3,0,1 .38,1.42,0.29,0.44,0
ukr20,25.98,43.89,9.76,6.37,7.61,0.71,2.9,0.6,1.03 ,0.67,0.47,0,0
ukr21,28.47,46.8,7.63,5.81,8.12,0.4,0,0,2.37,0.15, 0.27,0,0
ukr22,23.45,42.87,10.72,7.87,10.25,1.11,2.16,0,1.3 2,0,0,0.25,0
ukr23,27.76,47.18,9.94,4.68,5.31,0.62,0.75,0,1.92, 1.09,0.61,0.15,0
ukr24,28.06,45.38,8.57,8.14,4.86,0.4,1.51,0,0.63,1 .75,0.09,0,0.61
ukr25,21.86,46.05,9.16,10.79,8.08,0.69,0,0.01,2.65 ,0.08,0.33,0,0.29
ukr26,26.09,45.43,11.92,6.41,7.17,0.01,0.61,0.5,1. 66,0,0.18,0,0
ukr27,21.58,50.14,8.62,7.12,8.89,0.21,1.62,0.8,0,1 .01,0,0,0
ukr28,28,45.49,7.82,10.19,4.34,0,1.53,0,2.43,0.11, 0.03,0.08,0
ukr29,27.7,44.68,6.65,10.15,7.01,0.25,0.07,0,1.84, 0,1.23,0,0.42
ukr30,25.86,42.42,13.21,5.38,9.13,0.32,0,1.92,1.22 ,0.36,0.17,0,0
ukr31,28.52,44.97,9.12,9.41,5.58,0,0.18,0,1.17,0,0 .84,0,0.21
ukr32,23.64,46.07,11.27,7.83,7.1,0.59,0.25,0.03,1. 43,1.23,0.45,0.12,0
ukr33,28.14,43.95,7.72,7.05,6.32,2.17,2.19,0,0,1.6 1,0.08,0,0.78
ukr34,28.04,47.85,10.61,5.72,3.45,0,2.04,0,0.35,0. 74,0.39,0.81,0
ukr35,28.16,46.02,8.5,8.52,6.08,0.28,0,0,0,1.62,0. 53,0,0.28
ukr36,25.15,47.9,9.68,4.88,5.94,0,2.31,0,2.17,0.84 ,1.12,0,0
ukr37,26.43,49.67,7.89,6.9,4.98,0,1.53,0,2.02,0,0. 58,0,0
ukr38,25.75,46.4,11.39,5.96,3.65,2.86,0.26,0,1.77, 0.58,1.4,0,0
ukr39,25,45.43,11.92,4.55,8.18,0,0.97,0,0.39,1.41, 0.37,1.77,0.01
ukr40,27.17,49.75,5.06,2.41,7.81,2.59,0.74,0,2.7,0 .14,1.01,0.62,0
ukr41,28.41,42.35,9.56,6.71,7.04,1.22,1.23,0.25,1. 13,1.65,0,0,0.44
ukr42,24.43,41.05,13.32,4.95,9.04,1.92,1.45,0,1.82 ,0.25,0.87,0.91,0
ukr43,24.29,45.37,10.64,6.26,9.68,0,0,1.8,0.92,1.0 4,0,0,0
ukr44,28.19,40.09,13.15,8.1,5.78,0.92,0.87,0,1.79, 0.54,0,0.57,0
There are 3 more Ukrainians in another dataset (I don't know from which region):
K15:
K12b:Code:Aut11121001,18.12,17.72,26.47,19.07,7.67,2.28,4.88,0.93,1.86,0.28,0.32,0.40,0,0,0
Aut11121002,20.36,16.97,23.53,17.19,7.88,2.91,5.55,1.68,1.30,1.40,0.42,0.74,0,0,0.06
Aut11121003,15.35,20.30,29.33,22.16,8.96,1.02,1.18,0.17,1.53,0,0,0,0,0,0
K13:Code:Aut11121001,4.69,1.13,1.04,0.94,24.40,52.17,0.88,0,2.24,0.15,12.37,0
Aut11121002,5.19,1.27,0.71,1.68,25.07,49.74,0.41,0,3.18,0.14,12.61,0
Aut11121003,4.23,0.62,0,0.20,25.28,56.24,1.02,0,1.21,0.47,10.73,0
Distance to: Aut11121003Code:Aut11121001,27.71,42.08,11.38,4.18,8.43,1.61,2.13,0.52,1.18,0.72,0.06,0,0
Aut11121002,28.97,38.74,10.91,5.41,8.14,2.20,1.61,1.75,1.13,1.04,0,0,0.08
Aut11121003,28.37,45.34,13.39,3.87,4.53,0.94,2.10,0,1.03,0.41,0.01,0,0
3.80805725 Ukrainian
4.32077539 Masurian
4.32202499 Polish
5.36674948 Ukrainian_Lviv
5.79526531 South_Polish
Distance to: Aut11121002
3.89943586 Slovak
5.00356873 Moldova_Ukrainian
5.02410191 South_Polish
5.21820850 Ukrainian_Lviv
5.28896020 Hungarian_Northern
Distance to: Aut11121001
2.94881332 Moldova_Ukrainian
4.17813355 Ukrainian
4.51159617 Ukrainian_Lviv
4.76797651 South_Polish
5.71271389 Ukrainian_Ivano_Frankivsk
I can add it, the sample is from Rohatyn, which is just in the neighbourhood of Lviv. But it is more Northern than most samples from Lviv in your OP post, meaning that it's more Northern than those both South and North of it. Probably represents a very atypical profile. Will make the results shittier for those from IV.
Daos is quarter Romanian and quarter Polish. Lemgrant is a weird guy, he can't even say which oblasts of Ukraine and Russia he is exactly from. But his mom is fully Ukrainian, I believe. Father is a Siberian-born Russo-Ukrainian.
A-ha is not a girl, he is a Ukrainian from Estonia.
calxpal's grandma is from Ivano-Frankovsk. I guess she was included.
I quoted calxpal earlier in this thread and as for the Lugansk girl I'm not home and can't seem to find the number on my phone. Peterski has it, I think, unless he has deleted that message. She's a serious-ass genealogy enthusiast and also has a very rare given name, quite easy to find. Not your typical Masha or Natasha ;)
IMHO East Podolia- region of Mazurian colonization.
https://ispan.waw.pl/journals/index....e/view/sn.1210
I found on Gedmatch:
At this moment this sample has the highest Baltic component among Ukrainians.Quote:
Admix Results (sorted):
# Population Percent
1 Baltic 54.68
2 North_Atlantic 19.1
3 West_Med 8.55
4 East_Med 7.53
5 West_Asian 6.02
6 Siberian 3.32
7 Sub-Saharan 0.4
8 Oceanian 0.4
Single Population Sharing:
# Population (source) Distance
1 Erzya 7.82
2 Southwest_Russian 9.16
3 Ukrainian_Belgorod 9.66
4 Estonian_Polish 10.03
5 Kargopol_Russian 10.26
6 Russian_Smolensk 10.62
7 Lithuanian 10.64
8 Belorussian 10.82
9 Ukrainian 13.13
10 Polish 13.76
11 Ukrainian_Lviv 14.27
12 Estonian 14.41
13 East_Finnish 14.88
14 South_Polish 15.48
15 Finnish 16.78
16 Croatian 19.18
17 Southwest_Finnish 20.71
18 Moldavian 20.74
19 Chuvash 22.5
20 Tatar 23.12
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 73.8% Erzya + 26.2% Lithuanian @ 7.32
2 67.1% Erzya + 32.9% Southwest_Russian @ 7.34
3 72.1% Erzya + 27.9% Estonian_Polish @ 7.36
4 75.9% Erzya + 24.1% Belorussian @ 7.4
5 71.6% Erzya + 28.4% Ukrainian_Belgorod @ 7.42
6 77.6% Erzya + 22.4% Russian_Smolensk @ 7.51
7 89.3% Erzya + 10.7% Ukrainian @ 7.71
8 91.6% Erzya + 8.4% Polish @ 7.74
9 98.6% Erzya + 1.4% Yemenite_Jewish @ 7.76
10 98.7% Erzya + 1.3% Lebanese_Christian @ 7.77
11 98.7% Erzya + 1.3% Samaritan @ 7.77
12 98.7% Erzya + 1.3% Cyprian @ 7.78
13 98.4% Erzya + 1.6% Ashkenazi @ 7.78
14 98.8% Erzya + 1.2% Lebanese_Druze @ 7.78
15 97.8% Erzya + 2.2% Bulgarian @ 7.78
16 98.7% Erzya + 1.3% Algerian_Jewish @ 7.79
17 96.4% Erzya + 3.6% Croatian @ 7.79
18 95.4% Erzya + 4.6% South_Polish @ 7.79
19 95.2% Erzya + 4.8% Ukrainian_Lviv @ 7.79
20 98.9% Erzya + 1.1% Italian_Jewish @ 7.79
updated averages:
- sample size North_Atlantic Baltic West_Med West_Asian East_Med Red_Sea South_Asian East_Asian Siberian Amerindian Oceanian Northeast_African Sub-Saharan Volynska 1 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 Chernihivska 10 25.81 46.87 10.07 6.20 6.08 1.02 1.17 0.57 0.83 0.39 0.57 0.29 0.13 Dnipropetrovska 10 26.69 46.12 10.08 6.00 4.67 1.13 0.99 0.45 2.26 0.71 0.47 0.23 0.22 Harkivska 11 25.54 46.02 10.02 6.44 7.08 0.68 1.16 0.45 1.01 0.72 0.27 0.30 0.29 Rivnenska 14 27.91 45.96 10.48 5.82 5.04 0.88 0.61 0.26 1.06 0.85 0.64 0.19 0.29 Zhytomyrska 12 26.43 45.88 9.99 5.55 7.45 0.57 1.05 0.51 1.23 0.53 0.43 0.14 0.25 Sumska 17 27.69 45.68 10.30 5.28 5.87 0.92 0.88 0.51 1.11 0.79 0.48 0.17 0.31 Kyivska 27 26.21 45.44 10.40 5.96 6.55 1.15 0.88 0.37 1.28 0.72 0.52 0.15 0.37 Donetska 5 25.26 44.73 10.76 6.97 6.38 1.08 0.60 0.73 2.23 0.68 0.21 0.09 0.27 Zaporizka 2 26.93 44.33 10.28 4.87 8.61 0.53 1.87 0.01 1.66 0.47 0.36 0.00 0.11 Poltavska 2 23.50 44.01 11.33 6.92 7.75 0.26 1.16 0.52 2.24 1.47 0.75 0.05 0.06 Cherkaska 3 27.57 43.85 10.39 5.49 7.03 0.69 0.98 0.19 2.80 0.25 0.47 0.28 0.00 Mykolaivska 1 22.19 43.66 12.21 8.53 5.94 0.00 2.26 0.01 3.49 1.27 0.45 0.00 0.00 Krym 1 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 Kropyvnytska 2 27.51 42.28 11.30 6.27 6.89 0.07 3.65 0.00 0.55 0.63 0.46 0.10 0.32 Lvivska 16 27.75 40.05 12.53 7.19 7.48 1.32 1.04 0.34 1.24 0.52 0.36 0.10 0.08 Odeska 2 25.02 40.03 12.19 6.26 9.91 1.95 0.76 0.43 1.59 0.69 0.14 0.33 0.72 Ternopilska 2 28.78 39.31 12.99 7.02 7.69 0.89 0.98 0.20 0.66 0.98 0.47 0.02 0.04 Zakarpatska 24 26.73 38.29 12.82 7.66 9.27 1.13 1.13 0.41 1.38 0.66 0.27 0.14 0.12 Ivano-Frankivska 15 26.64 38.13 13.87 5.78 10.41 1.29 1.13 0.26 1.38 0.58 0.20 0.17 0.16 Khmelnytska 2 27.22 37.56 13.39 6.62 10.52 0.92 0.23 0.16 2.27 0.55 0.00 0.00 0.58 Chernivetska 2 23.28 35.95 13.66 9.77 12.08 1.28 0.00 0.19 1.64 1.15 0.50 0.51 0.00
Fantastic! They should be grouped in bigger regions IMO, like SW, NW, central, etc. and than added to Vahaduo.
Should be 28. I posted the last one later on.Code:Kyivska 27
Admix Results (sorted):
# Population Percent
1 Baltic 42.66
2 North_Atlantic 28.4
3 West_Med 13.51
4 East_Med 8.17
5 West_Asian 4.12
6 Amerindian 1.92
7 Siberian 1.21
Single Population Sharing:
# Population (source) Distance
1 Ukrainian 3.73
2 South_Polish 4.7
3 Ukrainian_Lviv 4.75
4 Polish 6.15
5 Croatian 7.3
6 Southwest_Russian 7.45
7 Estonian_Polish 8.12
8 Russian_Smolensk 8.27
9 Ukrainian_Belgorod 8.58
10 Belorussian 8.91
11 Moldavian 10.6
12 Hungarian 10.98
13 Kargopol_Russian 11.61
14 Estonian 12.38
15 East_German 12.61
16 Southwest_Finnish 12.89
17 Lithuanian 12.99
18 Finnish 13.77
19 Erzya 14.19
20 Austrian 14.24
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86% Belorussian + 14% Sardinian @ 2.85
2 80.5% Estonian_Polish + 19.5% North_Italian @ 2.95
3 87.3% Estonian_Polish + 12.7% Sardinian @ 3.04
4 96.1% Ukrainian + 3.9% Sardinian @ 3.08
5 94.3% Ukrainian + 5.7% Spanish_Valencia @ 3.14
6 94.1% Ukrainian + 5.9% North_Italian @ 3.18
7 94.6% Ukrainian + 5.4% Spanish_Murcia @ 3.19
8 71.2% Lithuanian + 28.8% North_Italian @ 3.19
9 94.2% Ukrainian + 5.8% Portuguese @ 3.19
10 94.5% Ukrainian + 5.5% Spanish_Castilla_Y_Leon @ 3.21
11 94.7% Ukrainian + 5.3% Tuscan @ 3.21
12 95.1% Ukrainian + 4.9% Spanish_Aragon @ 3.21
13 94.5% Ukrainian + 5.5% Southwest_French @ 3.22
14 94.7% Ukrainian + 5.3% Spanish_Extremadura @ 3.22
15 82.8% Southwest_Russian + 17.2% Southwest_French @ 3.22
16 94.4% Ukrainian + 5.6% Spanish_Cataluna @ 3.22
17 94.9% Ukrainian + 5.1% Spanish_Castilla_La_Mancha @ 3.23
18 95% Ukrainian + 5% Spanish_Andalucia @ 3.23
19 94.7% Ukrainian + 5.3% Spanish_Cantabria @ 3.23
20 94.4% Ukrainian + 5.6% Spanish_Galicia @ 3.24
https://facebook.com/photo.php?fbid=...0355&source=11
You probably have her - Dnieper, Sumy, more distant Donetsk
Admix Results (sorted):
# Population Percent
1 Baltic 43.9
2 North_Atlantic 25.8
3 West_Med 11.22
4 West_Asian 7.6
5 East_Med 7.42
6 Amerindian 1.31
7 East_Asian 1.3
8 Red_Sea 1.21
9 Oceanian 0.25
Single Population Sharing:
# Population (source) Distance
1 Ukrainian 3.46
2 Ukrainian_Lviv 3.75
3 Southwest_Russian 4.99
4 Ukrainian_Belgorod 5.05
5 South_Polish 5.26
6 Polish 5.91
7 Russian_Smolensk 6.5
8 Estonian_Polish 7.19
9 Croatian 7.98
10 Belorussian 8.02
11 Kargopol_Russian 10.53
12 Moldavian 10.56
13 Lithuanian 11.79
14 Erzya 12.02
15 Estonian 12.65
16 Hungarian 12.65
17 Finnish 14.24
18 Southwest_Finnish 14.67
19 East_German 14.96
20 East_Finnish 15
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 92.1% Ukrainian_Belgorod + 7.9% Sardinian @ 1.98
2 65.5% Lithuanian + 34.5% Bulgarian @ 2.06
3 62.8% Ukrainian_Belgorod + 37.2% Croatian @ 2.2
4 76.6% Lithuanian + 23.4% Central_Greek @ 2.3
5 78.4% Russian_Smolensk + 21.6% Bulgarian @ 2.33
6 63.6% Southwest_Russian + 36.4% Croatian @ 2.44
7 88.3% Ukrainian_Belgorod + 11.7% North_Italian @ 2.45
8 78.6% Lithuanian + 21.4% South_Italian @ 2.49
9 72.8% Lithuanian + 27.2% Greek_Thessaly @ 2.52
10 86.3% Russian_Smolensk + 13.7% Central_Greek @ 2.53
11 63.9% Lithuanian + 36.1% Romanian @ 2.53
12 52.9% Moldavian + 47.1% Lithuanian @ 2.54
13 83.8% Russian_Smolensk + 16.2% Greek_Thessaly @ 2.57
14 89.1% Ukrainian_Belgorod + 10.9% Tuscan @ 2.61
15 87.7% Russian_Smolensk + 12.3% South_Italian @ 2.61
16 63.3% Russian_Smolensk + 36.7% Moldavian @ 2.66
17 77.2% Lithuanian + 22.8% East_Sicilian @ 2.67
18 70.5% Ukrainian_Belgorod + 29.5% Moldavian @ 2.68
19 89.7% Russian_Smolensk + 10.3% Cyprian @ 2.68
20 86.8% Russian_Smolensk + 13.2% East_Sicilian @ 2.69
FYI, I miscopied one of the IF results that I had in the buffer. The correct result is:
North_Atlantic 35.92 Pct Baltic 34.51 Pct West_Med 15.04 Pct West_Asian 8.63 Pct East_Med 0.66 Pct Red_Sea 0.55 Pct South_Asian 2.06 Pct East_Asian 1.31 Pct Siberian - Amerindian 0.41 Pct Oceanian 0.18 Pct Northeast_African 0.72 Pct Sub-Saharan -
The town has a Polish history, so I am wondering if that's the cause for elevated NA. Could also just be an unbalanced distribution between Baltic and NA.
These are the averages which I think should be added to Vahaduo:
these are groupings based on genetic differences.Code:Ukrainian,26.53,45.54,10.39,5.93,6.34,0.90,0.97,0.43,1.33,0.70,0.47,0.19,0.27
Ukrainian_Galicia,27.87,39.97,12.58,7.17,7.51,1.27,1.03,0.33,1.17,0.57,0.37,0.09,0.07
Ukrainian_Carpathian,26.50,38.13,13.24,7.09,9.82,1.21,1.06,0.35,1.41,0.65,0.25,0.16,0.13
Galicia includes all the individuals from Lviv and Ternopil.
"Carpathian" includes all the individuals from Zakarpatye, Ivamo-Frankivsk, Chernivtsi and Kamianets-Podilski.
"Ukrainian" includes all individuals from the rest of Ukraine. This isn't an artficial all-Ukrainian average, it's the average of the main Ukrainian genetic cluster.
except this, what could be added are the oblasts with 10 or more samples (check here) or some combinations of them, but I don't think it's necessary.
At this moment I have found about two hundred Gedmatch kits with Ukrainian surnames. I started to connect with them by email in order to find out if they are Ukrainians by all their grandparents. But this is a very long process. From time to time I will post some checked results.
Isn't Ivano-Frankovsk oblast part of historical Galicia? I think it is.