Ukrainian academic regional k13 results - more than 100

[Ion Basescul]

is the Lundiak family already in here? (maybe in a slightly different version from what I have?)
https://www.theapricity.com/forum/showthread.php?298838-Southwestern-Ukrainian-and-almost-identical-to-Croats

samples 1 and 4 have results simialr to 2 of them.

No, they aren't.

[Ion Basescul]

Updated average with that family and another one I posted earlier.

n=14


Ukrainian_Ivano_Frankivsk,26.30,38.12,14.07,5.60,1 0.78,1.32,1.12,0.26,1.37,0.52,0.22,0.14,0.18

[vbnetkhio]

Updated average with that family and another one I posted earlier.

n=14


Ukrainian_Ivano_Frankivsk,26.30,38.12,14.07,5.60,1 0.78,1.32,1.12,0.26,1.37,0.52,0.22,0.14,0.18

what about the Rogotyn sample from this study? He looks like an outlier, but not a too big one, he could end up within the range with more samples added.

[Jana]

Updated average with that family and another one I posted earlier.

n=14


Ukrainian_Ivano_Frankivsk,26.30,38.12,14.07,5.60,1 0.78,1.32,1.12,0.26,1.37,0.52,0.22,0.14,0.18

https://i.imgur.com/xSqwDh2.png

[smd555]

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

[Peterski]

There are 3 more Ukrainians in another dataset (I don't know from which region):

K15:


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

K12b:


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

K13:


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

Distance to: Aut11121003
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

[Ion Basescul]

what about the Rogotyn sample from this study? He looks like an outlier, but not a too big one, he could end up within the range with more samples added.

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.

[Leto]

what about Daos himself? and Lemgrant and his mother? they are a mix of different regions?



is this A-ha?

A-ha(ukrainian),26.32,45.80,7.97,7.78,5.10,0.75,2.54 ,0.06,1.99,0,0,1.68,0
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.

[Ion Basescul]

what about Daos himself? and Lemgrant and his mother? they are a mix of different regions?



is this A-ha?

A-ha(ukrainian),26.32,45.80,7.97,7.78,5.10,0.75,2.54 ,0.06,1.99,0,0,1.68,0

A-ha is very diverse from what I remember on GEDmatch. There's much more than just Ukrainian there.

[vbnetkhio]

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.

no. could you post calxpal's grandma and that girl from Lugansk?

[Leto]

no. could you post calxpal's grandma and that girl from Lugansk?
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 ;)

[Abriekman]

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.

Calxpal partial ancestry is Carpathian-Rusyn, it isn't possible for a North Slav to score 32% Balkan on 23andme

[cass]

There are 3 more Ukrainians in another dataset (I don't know from which region):

K15:


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

K12b:


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

K13:


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

Distance to: Aut11121003
3.80805725 Ukrainian
4.32077539 Masurian
4.32202499 Polish
5.36674948 Ukrainian_Lviv
5.79526531 South_Polish



IMHO East Podolia- region of Mazurian colonization.
https://ispan.waw.pl/journals/index.php/sn/article/view/sn.1210

[smd555]

Ion Basescul, do you know their locations? They have a specific feature - high Baltic and low North-Atlantic.




https://www.theapricity.com/forum/showthread.php?330904-Ukrainian-national-average&p=6881433&viewfull=1#post6881433


https://www.theapricity.com/forum/showthread.php?330904-Ukrainian-national-average&p=6881443&viewfull=1#post6881443

I found on Gedmatch:


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



At this moment this sample has the highest Baltic component among Ukrainians.

[vbnetkhio]

I'll add some more tomorrow



I added those with a specific location to their oblast average.

[vbnetkhio]

updated averages:
-sample sizeNorth_AtlanticBalticWest_MedWest_AsianEast_Med Red_SeaSouth_AsianEast_AsianSiberianAmerindianOcea nianNortheast_AfricanSub-Saharan
Volynska124.5049.7412.137.652.000.760.001.540.730. 090.700.000.15
Chernihivska1025.8146.8710.076.206.081.021.170.570 .830.390.570.290.13
Dnipropetrovska1026.6946.1210.086.004.671.130.990. 452.260.710.470.230.22
Harkivska1125.5446.0210.026.447.080.681.160.451.01 0.720.270.300.29
Rivnenska1427.9145.9610.485.825.040.880.610.261.06 0.850.640.190.29
Zhytomyrska1226.4345.889.995.557.450.571.050.511.2 30.530.430.140.25
Sumska1727.6945.6810.305.285.870.920.880.511.110.7 90.480.170.31
Kyivska2726.2145.4410.405.966.551.150.880.371.280. 720.520.150.37
Donetska525.2644.7310.766.976.381.080.600.732.230. 680.210.090.27
Zaporizka226.9344.3310.284.878.610.531.870.011.660 .470.360.000.11
Poltavska223.5044.0111.336.927.750.261.160.522.241 .470.750.050.06
Cherkaska327.5743.8510.395.497.030.690.980.192.800 .250.470.280.00
Mykolaivska122.1943.6612.218.535.940.002.260.013.4 91.270.450.000.00
Krym129.0342.589.404.3810.120.050.970.030.680.841. 090.780.06
Kropyvnytska227.5142.2811.306.276.890.073.650.000. 550.630.460.100.32
Lvivska1627.7540.0512.537.197.481.321.040.341.240. 520.360.100.08
Odeska225.0240.0312.196.269.911.950.760.431.590.69 0.140.330.72
Ternopilska228.7839.3112.997.027.690.890.980.200.6 60.980.470.020.04
Zakarpatska2426.7338.2912.827.669.271.131.130.411. 380.660.270.140.12
Ivano-Frankivska1526.6438.1313.875.7810.411.291.130.261. 380.580.200.170.16
Khmelnytska227.2237.5613.396.6210.520.920.230.162. 270.550.000.000.58
Chernivetska223.2835.9513.669.7712.081.280.000.191 .641.150.500.510.00

[Aspirin]

updated averages:
-sample sizeNorth_AtlanticBalticWest_MedWest_AsianEast_Med Red_SeaSouth_AsianEast_AsianSiberianAmerindianOcea nianNortheast_AfricanSub-Saharan
Volynska124.5049.7412.137.652.000.760.001.540.730. 090.700.000.15
Chernihivska1025.8146.8710.076.206.081.021.170.570 .830.390.570.290.13
Dnipropetrovska1026.6946.1210.086.004.671.130.990. 452.260.710.470.230.22
Harkivska1125.5446.0210.026.447.080.681.160.451.01 0.720.270.300.29
Rivnenska1427.9145.9610.485.825.040.880.610.261.06 0.850.640.190.29
Zhytomyrska1226.4345.889.995.557.450.571.050.511.2 30.530.430.140.25
Sumska1727.6945.6810.305.285.870.920.880.511.110.7 90.480.170.31
Kyivska2726.2145.4410.405.966.551.150.880.371.280. 720.520.150.37
Donetska525.2644.7310.766.976.381.080.600.732.230. 680.210.090.27
Zaporizka226.9344.3310.284.878.610.531.870.011.660 .470.360.000.11
Poltavska223.5044.0111.336.927.750.261.160.522.241 .470.750.050.06
Cherkaska327.5743.8510.395.497.030.690.980.192.800 .250.470.280.00
Mykolaivska122.1943.6612.218.535.940.002.260.013.4 91.270.450.000.00
Krym129.0342.589.404.3810.120.050.970.030.680.841. 090.780.06
Kropyvnytska227.5142.2811.306.276.890.073.650.000. 550.630.460.100.32
Lvivska1627.7540.0512.537.197.481.321.040.341.240. 520.360.100.08
Odeska225.0240.0312.196.269.911.950.760.431.590.69 0.140.330.72
Ternopilska228.7839.3112.997.027.690.890.980.200.6 60.980.470.020.04
Zakarpatska2426.7338.2912.827.669.271.131.130.411. 380.660.270.140.12
Ivano-Frankivska1526.6438.1313.875.7810.411.291.130.261. 380.580.200.170.16
Khmelnytska227.2237.5613.396.6210.520.920.230.162. 270.550.000.000.58
Chernivetska223.2835.9513.669.7712.081.280.000.191 .641.150.500.510.00
From where is the second sample for Chernivetska average? Is not the mongolid person judging by results.

[Jana]

Fantastic! They should be grouped in bigger regions IMO, like SW, NW, central, etc. and than added to Vahaduo.

[Peterski]

Kyivska 27

Should be 28. I posted the last one later on.

[vbnetkhio]

I must have posted this one a while back in one of the threads.

From the town of Yarmolyntsi, Khmelnytska oblast

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


29.11
36.54
13.52
5.76
11.18
0
0
0
2.17
0.75
0
0
0.96

</tbody>
</google-sheets-html-origin>


For Ivano-Frankivsk I can share those that make the average on K13

IndN_AtlanticBalticWest_MedWest_AsianEast_MedRed_S eaSouth_AsianEast_AsianSiberianAmerindianOceanianN E_AfricanSub-Saharan
Ukrainian_Ivano-Frankivsk_129.1136.5413.525.7611.180002.170.75000. 96



is this person from Khmelnytsky or Ivano-Frankivsk?

[Leto]

that girl from Lugansk
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=3099283813464677&id=100001492677699&set=a.135860663140355&source=11

[Leto]

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

[Ion Basescul]

I must have posted this one a while back in one of the threads.

From the town of Yarmolyntsi, Khmelnytska oblast

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


29.11
36.54
13.52
5.76
11.18
0
0
0
2.17
0.75
0
0
0.96

</tbody>
</google-sheets-html-origin>

FYI, I miscopied one of the IF results that I had in the buffer. The correct result is:


<tbody>
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
-

</tbody>

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.

[smd555]

FYI, I miscopied one of the IF results that I had in the buffer. The correct result is:


<tbody>
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
-

</tbody>

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.

I think, if Ukrainian has Polish ancestry - he must know that, because assimilation of Poles became perceptible only in 20 century. There are no village or town, all inhabitants of which suddenly became Ukrainians and forgot that they had been Poles.

[smd555]

FYI, I miscopied one of the IF results that I had in the buffer. The correct result is:


<tbody>
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
-

</tbody>

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.

Have you deleted his contacts? Or do you remember if his surname was Ukrainian? He looks like Czech or German.

[vbnetkhio]

These are the averages which I think should be added to Vahaduo:


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

these are groupings based on genetic differences.

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 (https://www.theapricity.com/forum/showthread.php?339371-Ukrainian-academic-regional-k13-results-more-than-100&p=7063667&viewfull=1#post7063667)) or some combinations of them, but I don't think it's necessary.

[smd555]

These are the averages which I think should be added to Vahaduo:


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

these are groupings based on genetic differences.

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 (https://www.theapricity.com/forum/showthread.php?339371-Ukrainian-academic-regional-k13-results-more-than-100&p=7063667&viewfull=1#post7063667)) 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.

[vbnetkhio]

From where is the second sample for Chernivetska average? Is not the mongolid person judging by results.


From Chernivtsi


<tbody>
North_Atlantic
22.53 Pct


Baltic
36.68 Pct


West_Med
12.45 Pct


West_Asian
11.12 Pct


East_Med
13.45 Pct


Red_Sea
0.92 Pct


South_Asian
-


East_Asian
0.37 Pct


Siberian
1.3 Pct


Amerindian
1.01 Pct


Oceanian
0.17 Pct


Northeast_African
-


Sub-Saharan
-

</tbody>

[Leto]

Isn't Ivano-Frankovsk oblast part of historical Galicia? I think it is.

[Aspirin]

Isn't Ivano-Frankovsk oblast part of historical Galicia? I think it is.

Yes

[vbnetkhio]

Isn't Ivano-Frankovsk oblast part of historical Galicia? I think it is.

yes, but these are genetical clusters. Ivano-Frankivsk looks genetically identical to Zakarpatye and different from Lviv.

[Abriekman]

I think, if Ukrainian has Polish ancestry - he must know that, because assimilation of Poles became perceptible only in 20 century. There are no village or town, all inhabitants of which suddenly became Ukrainians and forgot that they had been Poles.

68,75% of my ancestors were Poles in Ukraine, only one great grandparent was Catholic, other are Orthodoxized, spreak Russian and even did not have Polish Identity, even everyone was with Polish names and surnames and live in Polish village

[Leto]

68,75% of my ancestors were Poles in Ukraine, only one great grandparent was Catholic, other are Orthodoxized, spreak Russian and even did not have Polish Identity, even everyone was with Polish names and surnames and live in Polish village
I officially accept you as Russian :swl In my book Polish blood is not foreign, just like Baltic and Finnic (let alone Ukrainian and Belarusian).

By the way, Orthodox Christianity exists in Poland proper, the autocephalous Polish Orthodox Church has between 500,000 and 1 million adherents (both active and nominal).

[Leto]

yes, but these are genetical clusters. Ivano-Frankivsk looks genetically identical to Zakarpatye and different from Lviv.
Ironically your brand new national average has a more Russian-like North Atlantic/Baltic ratio than the previous Ukrainian reference. I bet fucking Putin has a hand in it! xD

[vbnetkhio]

Ironically your brand new national average has a more Russian-like North Atlantic/Baltic ratio than the previous Ukrainian reference. I bet fucking Putin has a hand in it! xD

the previous was mostly from the Northwest according to Davidski. Probably some SW or Polish admixed samples too. This one is more accurate.

[Leto]

the previous was mostly from the Northwest according to Davidski. Probably some SW or Polish admixed samples too. This one is more accurate.
Isn't based on those few publicly available samples like Volyn, Zhitomir, etc?

[Leto]

the previous was mostly from the Northwest according to Davidski. Probably some SW or Polish admixed samples too. This one is more accurate.
Isn't based on those few publicly available samples like Volyn, Zhitomir, etc?

[vbnetkhio]

Isn't based on those few publicly available samples like Volyn, Zhitomir, etc?

i don't think so. that paper came out in 2016, and k13 is older than that i believe.

[Jana]

New Ukrainian average comes closest to SW Russians, and I think it's excellent modern proxy for early Slavic input.
It clusters somewhere between Lithuanians and North Moldovans, so between Balts and northern Balkanites, I think that's what early Slavs were like.

Belarausians, Russians Smolensk and Masurians IMO are Baltic admixed, while Polish average has slight east Germanic input (still very Slavic nevertheless)

South Slavs strongly prefer Ukrainians as their Slavic proxy in my modeling, and Vbn did excellent thing to opt out for average of main Ukrainian genetic cluster instead of all-country average which wouldn't be so pure.

[smd555]

68,75% of my ancestors were Poles in Ukraine, only one great grandparent was Catholic, other are Orthodoxized, spreak Russian and even did not have Polish Identity, even everyone was with Polish names and surnames and live in Polish village

But you know, that your ancestors were Poles, and you can say the percentage of Polish blood - so you prove my statement
I think, if Ukrainian has Polish ancestry - he must know that, because assimilation of Poles became perceptible only in 20 century. :D

[ktaras]

Hi everyone, smd555 contacted me today regarding the origins of one of the kits I uploaded to gedmatch.
Please let me know if you need any specific information or assistance.
By the way, I have 6 more kits of my relatives, 5 of them are 100% Ukrainians, 1 - at least 50%. I can share the information if you need.
All of them are from Zaporizhzhia, Dnipro and Kropyvnytskyi regions, some of their ancestors traced back to the 18th century as immigrants from Poltava, Chernihiv and Cherkasy regions.

[smd555]

Hi everyone, smd555 contacted me today regarding the origins of one of the kits I uploaded to gedmatch.
Please let me know if you need any specific information or assistance.
By the way, I have 6 more kits of my relatives, 5 of them are 100% Ukrainians, 1 - at least 50%. I can share the information if you need.
All of them are from Zaporizhzhia, Dnipro and Kropyvnytskyi regions, some of their ancestors traced back to the 18th century as immigrants from Poltava, Chernihiv and Cherkasy regions.

Welcome!

[ktaras]

So here are my kits. Feel free to analyze them, discuss and ask any questions. I would be really grateful for your insights.

GJ8082035:
1/4 - Novhorodka District, Kropyvnytskyi Oblast (former Oleksandriia Povit, Kherson Governorate)
1/4 - Mahdalynivka District, Dnipro Oblast (former Novomoskovsk Povit, Katerynoslav Governorate)
1/4 - Hlobyne District, Poltava Oblast (former Kremenchuk Povit, Poltava Governorate)
1/4 - possibly Old Believers from Nova Ushytsia District, Khmelnytskyi Oblast (but no proof so far!)

KJ8712969 and WS1851292:
2/4 - Novhorodka District, Kropyvnytskyi Oblast (former Oleksandriia Povit, Kherson Governorate)
One of the lines traced back to the 1780s as immigrants from former Chyhyryn Regiment (modern Cherkasy Oblast)
2/4 - Mahdalynivka District, Dnipro Oblast (former Novomoskovsk Povit, Katerynoslav Governorate)

TB4938341:
2/4 - Zaporizhzhia District, Zaporizhzhia Oblast (former Katerynoslav Povit, Katerynoslav Governorate).
One of the lines traced back to the 1760s as immigrants from Starodub Regiment (modern Bryansk Oblast, Russia)
2/4 - Velyka Bilozerka District, Zaporizhzhia Oblast (former Melitopol Povit, Taurida Governorate).
One of the lines traced back to the 1780s as immigrants from Myrhorod Regiment (modern Poltava Oblast)
Another line traced back to the 1780s as immigrants from Lubny Regiment (modern Poltava Oblast)
2 more lines traced back to the 1780s as immigrants from Nizhyn Regiment (modern Chernihiv Oblast)

DH7466499:
2/4 - Velyka Bilozerka District, Zaporizhzhia Oblast (former Melitopol Povit, Taurida Governorate).
One of the lines traced back to the 1780s as immigrants from Myrhorod Regiment (modern Poltava Oblast)
Another line traced back to the 1780s as immigrants from Lubny Regiment (modern Poltava Oblast)
2 more lines traced back to the 1780s as immigrants from Nizhyn Regiment (modern Chernihiv Oblast)
2/4 - possibly Russian

UF9616238:
4/4 - Sofiivka District, Dnipro Oblast (former Kherson Povit, Kherson Governorate)

DR9844291:
4/4 - Sofiivka District, Dnipro Oblast (former Verkhnodniprovsk Povit, Katerynoslav Governorate)

[Lucas]

So here are my kits. Feel free to analyze them, discuss and ask any questions. I would be really grateful for your insights.

GJ8082035:
1/4 - Novhorodka District, Kropyvnytskyi Oblast (former Oleksandriia Povit, Kherson Governorate)
1/4 - Mahdalynivka District, Dnipro Oblast (former Novomoskovsk Povit, Katerynoslav Governorate)
1/4 - Hlobyne District, Poltava Oblast (former Kremenchuk Povit, Poltava Governorate)
1/4 - possibly Old Believers from Nova Ushytsia District, Khmelnytskyi Oblast (but no proof so far!)

KJ8712969 and WS1851292:
2/4 - Novhorodka District, Kropyvnytskyi Oblast (former Oleksandriia Povit, Kherson Governorate)
One of the lines traced back to the 1780s as immigrants from former Chyhyryn Regiment (modern Cherkasy Oblast)
2/4 - Mahdalynivka District, Dnipro Oblast (former Novomoskovsk Povit, Katerynoslav Governorate)

TB4938341:
2/4 - Zaporizhzhia District, Zaporizhzhia Oblast (former Katerynoslav Povit, Katerynoslav Governorate).
One of the lines traced back to the 1760s as immigrants from Starodub Regiment (modern Bryansk Oblast, Russia)
2/4 - Velyka Bilozerka District, Zaporizhzhia Oblast (former Melitopol Povit, Taurida Governorate).
One of the lines traced back to the 1780s as immigrants from Myrhorod Regiment (modern Poltava Oblast)
Another line traced back to the 1780s as immigrants from Lubny Regiment (modern Poltava Oblast)
2 more lines traced back to the 1780s as immigrants from Nizhyn Regiment (modern Chernihiv Oblast)

DH7466499:
2/4 - Velyka Bilozerka District, Zaporizhzhia Oblast (former Melitopol Povit, Taurida Governorate).
One of the lines traced back to the 1780s as immigrants from Myrhorod Regiment (modern Poltava Oblast)
Another line traced back to the 1780s as immigrants from Lubny Regiment (modern Poltava Oblast)
2 more lines traced back to the 1780s as immigrants from Nizhyn Regiment (modern Chernihiv Oblast)
2/4 - possibly Russian

UF9616238:
4/4 - Sofiivka District, Dnipro Oblast (former Kherson Povit, Kherson Governorate)

DR9844291:
4/4 - Sofiivka District, Dnipro Oblast (former Verkhnodniprovsk Povit, Katerynoslav Governorate)

Thanks for sharing.

[PaleoEuropean]

Distance to: paleo
23.93517913 Ukraine_Zakarpatska:Vynogradiv_EG600035
25.30129246 Ukraine_Zakarpatska:Rahiv_district_Kosivska_Polyan a_EG60001_
25.52017045 Ukraine_Lvivska:Sambir_EG600014
25.80524753 Ukraine_Zakarpatska:Uzhgorod_EG600036
26.71470943 Ukraine_Ivano-Frankivska:Rogatyn_EG600024
27.45598842 Ukraine_Lvivska:Turka_EG600089
27.59184119 Ukraine_Zakarpatska:Vynogradiv_district_Koroleve_E G600027
27.60427503 Ukraine_Zakarpatska:Mukachiv_district_Zavydovo_EG6 00012
27.98313421 Ukraine_Lvivska:Turka_district_Kryvka_EG600018
28.15399794 Ukraine_Ivano-Frankivska:apricity_
28.25415014 Ukraine_Ivano-Frankivska:apricity_
28.34238875 Ukraine_Zakarpatska:Uzhgorod_district_Hudlevo_EG60 0076
28.37257655 Ukraine_Zakarpatska:Uzhgorod_district_Lyahivtsi_EG 60005
28.56204650 Ukraine_Zakarpatska:Tyachiv_district_Krychovo_EG60 004
28.64312832 Ukraine_Zakarpatska:Mukachiv_district_Zavydovo_EG6 0007
29.16884811 Ukraine_Lvivska:Mykolaiv_EG600061
29.30612905 Ukraine_Cherkaska:Zlotonosha_
29.51222797 Ukraine_Ternopilska:Berezhany_district_Narajiv_EG6 00011
29.57955206 Ukraine_Lvivska:molgen_
29.75130585 Ukraine_Lvivska:EG600064_
29.82464753 Ukraine_Zakarpatska:Vynogradiv_district_Oleshnyk_E G60009
29.83605872 Ukraine_Zakarpatska:Uzhgorod_EG600096
29.93351466 Ukraine_Kropyvnytska:EG600092_
29.96284366 Ukraine_Rivnenska:EG600042_
30.19929138 Ukraine_Lvivska:Sambir_EG600033

[Radko Sochan]

<tbody>
Distance to:
T303836


2.21695737
Ukraine_Harkivska:EG600023_


2.44503579
Ukraine_Dnipropetrovska:Dnipropetrovsk_district_Ki rovske_EG600074


2.74029196
Ukraine_Zhytomyrska:EG600050_


2.88939440
Ukraine_Dnipropetrovska:EG600072_


3.12525199
Ukraine_Rivnenska:EG600042_


3.46400058
Ukraine_Lvivska:Skole_district_Nyzhne_Synevydne_EG 60006_


3.76708110
Ukraine_Dnipropetrovska:EG600065_


3.77193584
Ukraine_Chernihivska:Kozelets_district_Lemeshi_EG6 00053


3.79552368
Ukraine_Rivnenska:EG600043_


4.03262942
Ukraine_Dnipropetrovska:Dnipropetrovsk_district_Pi dhorodnye_EG600071


4.07363474
Ukraine_Rivnenska:R1b8_


4.11502126
Ukraine_Sumska:R1a1b_


4.43265158
Ukraine_Zakarpatska:Velykyj_Bereznyj_district_Maly j_Bereznyj_EG600016


4.43894132
Ukraine_Zhytomyrska:Ovruch_EG600028


4.58373210
Ukraine_Donetska:Gorlivka_EG600026


4.69926590
Ukraine_Rivnenska:Volovymyrets_district_Velyki_Tse ptsevychi_EG600041_


4.92022357
Ukraine_Sumska:Lebedyn_district_Kaminne_EG600077


5.05195012
Ukraine_Zakarpatska:Uzhgorod_EG600094


5.06730698
Ukraine_Zakarpatska:Uzhgorod_EG600095


5.13874498
Ukraine_Kropyvnytska:EG600092_


5.33277601
Ukraine_Chernihivska:Kulykiv_district_Kovchyn_EG60 0060


5.46604061
Ukraine_Lvivska:EG600064_


5.46666260
Ukraine_Cherkaska:Zlotonosha_


5.53769808
Ukraine_Donetska:Slovyansk_EG600025


5.56239157
Ukraine_Zaporizka:Berdyansk_EG600013

</tbody>


<tbody>
Target: T303836
Distance: 0.8110% / 0.81098343


46.7
Ukraine_Zakarpatska





31.4
Ukraine_Cherkaska





9.3
Ukraine_Dnipropetrovska





7.0
Ukraine_Ternopilska





5.6
Ukraine_Sumska



</tbody>


Hi to all!
Thanks for the list of Ukrainian results
This is the result of one of the people of Poltavska oblast, if anything

[Ion Basescul]

From the city of Krivyi Rih in Dnipropetrovsk oblast


<tbody>
North_Atlantic
27.07 Pct


Baltic
45.07 Pct


West_Med
13.22 Pct


West_Asian
2.07 Pct


East_Med
5.9 Pct


Red_Sea
0.77 Pct


South_Asian
2.25 Pct


East_Asian
-


Siberian
2.17 Pct


Amerindian
0.61 Pct


Oceanian
0.88 Pct


Northeast_African
-


Sub-Saharan
-

</tbody>

[Ion Basescul]

Lviv (3/4 Podiltsi, 1/4 Zadnistryany)


<tbody>
North_Atlantic
26.94 Pct


Baltic
43.15 Pct


West_Med
14 Pct


West_Asian
4.07 Pct


East_Med
7.32 Pct


Red_Sea
0.66 Pct


South_Asian
1.17 Pct


East_Asian
-


Siberian
1.49 Pct


Amerindian
0.12 Pct


Oceanian
0.93 Pct


Northeast_African
0.11 Pct


Sub-Saharan
-

</tbody>

[smd555]

ktaras, have you received my message in email?

[Art23]

All the samples are so far away from my Ukrainian mother, probably because of 2 grandparents born in Moldova.

North_Atlantic 21.88 Pct
Baltic 39.32 Pct
West_Med 12.6 Pct
West_Asian 8.8 Pct
East_Med 12.61 Pct
Red_Sea 0.88 Pct
South_Asian 0.39 Pct
East_Asian 0.38 Pct
Siberian 0.99 Pct
Amerindian 0.82 Pct
Oceanian 1.34 Pct
Northeast_African -
Sub-Saharan -

[Ion Basescul]

All the samples are so far away from my Ukrainian mother, probably because of 2 grandparents born in Moldova.

North_Atlantic 21.88 Pct
Baltic 39.32 Pct
West_Med 12.6 Pct
West_Asian 8.8 Pct
East_Med 12.61 Pct
Red_Sea 0.88 Pct
South_Asian 0.39 Pct
East_Asian 0.38 Pct
Siberian 0.99 Pct
Amerindian 0.82 Pct
Oceanian 1.34 Pct
Northeast_African -
Sub-Saharan -

Yes, that's probably the case. Did they identify as Ukrainian? Those results look typical to me for a person that's half Ukrainian and half Moldovan/Romanian.
But of course, local Ukrainians, who think that they have only Ukrainian heritage, can fall within the Moldovan/Romanian range at times if their locality culturally assimilated non-Ukrainians.

[Art23]

Yes, that's probably the case. Did they identify as Ukrainian? Those results look typical to me for a person that's half Ukrainian and half Moldovan/Romanian.
But of course, local Ukrainians, who think that they have only Ukrainian heritage, can fall within the Moldovan/Romanian range at times if their locality culturally assimilated non-Ukrainians.

I am not sure that paternal grandparents of my mother identified as Ukrainian, especially grandmother as she was from Chisinau. The weird thing is that my mother and her family always spoke Ukrainian and were Ukrainians according to their documents in Soviet times, but they looked differently from the rest. My mother even remembers being called a "Gypsy". There was an assimilation, I suppose. Even the surname looks like a Romanian surname with an added Ukrainian ending which I understand only now.

[vandor]

I am not sure that paternal grandparents of my mother identified as Ukrainian, especially grandmother as she was from Chisinau. The weird thing is that my mother and her family always spoke Ukrainian and were Ukrainians according to their documents in Soviet times, but they looked differently from the rest. My mother even remembers being called a "Gypsy". There was an assimilation, I suppose. Even the surname looks like a Romanian surname with an added Ukrainian ending which I understand only now.

What is your region/ancestral regions in Ukraine?

[vandor]

I am not sure that paternal grandparents of my mother identified as Ukrainian, especially grandmother as she was from Chisinau. The weird thing is that my mother and her family always spoke Ukrainian and were Ukrainians according to their documents in Soviet times, but they looked differently from the rest. My mother even remembers being called a "Gypsy". There was an assimilation, I suppose. Even the surname looks like a Romanian surname with an added Ukrainian ending which I understand only now.

Yep, Ukrainization took place during USSR, so surnames like Sirbu became Sirbulenko and so on.

[Art23]

What is your region/ancestral regions in Ukraine?

Vinnytsia oblast, but I think they moved there both from western and eastern Ukraine, it is very mixed, I understand that both my and my mother's samples will be quite far from Ukrainian academic samples and I am fine with it. :)

[Ion Basescul]

I am not sure that paternal grandparents of my mother identified as Ukrainian, especially grandmother as she was from Chisinau. The weird thing is that my mother and her family always spoke Ukrainian and were Ukrainians according to their documents in Soviet times, but they looked differently from the rest. My mother even remembers being called a "Gypsy". There was an assimilation, I suppose. Even the surname looks like a Romanian surname with an added Ukrainian ending which I understand only now.

Well, Gypsy can be safely ruled out, as 1/4 of such ancestry would have manifested itself on an autosomal level. But the results from above don't reflect that. Chisinau was mostly populated by Jews at those times, but those results don't look Jewish influenced. She probably just had a more exotic phenotype and ethnically could have been 1/2 Moldovan since that's what the results hint at.

[smd555]

What is the ultimate accuracy of Eurogenes K13? For example native brother and sister (Ukrainians):

https://s8.hostingkartinok.com/uploads/images/2021/01/27276844d1a2564445dd3d12ab8b4410.png

[Lucas]

What is the ultimate accuracy of Eurogenes K13? For example native brother and sister (Ukrainians):

https://s8.hostingkartinok.com/uploads/images/2021/01/27276844d1a2564445dd3d12ab8b4410.png

Don't expect that results will be close to 0 in such case. It is normal.

[smd555]

Don't expect that results will be close to 0 in such case. It is normal.


But there are some ancient samples which are closer to each other:




Distance to: I0049_Germany_Corded_Ware_4287_ybp
2.05387439 mur004_Russia_Srubnaya_Alakul.SG_3743_ybp
2.50625218 Ardu1_Estonia_Corded_Ware.SG_4638_ybp
2.82511947 I0424_Russia_Srubnaya_published_3675_ybp
3.31086092 I0422_Russia_Srubnaya_published_3475_ybp
3.38507016 I0361_Russia_Srubnaya_published_3475_ybp
3.77850500 I1539_Germany_Corded_Ware_4408_ybp
4.53005519 kzb002_Russia_Srubnaya_Alakul.SG_3721_ybp
4.53515160 I0232_Russia_Srubnaya_published_3475_ybp
4.59169903 I1541_Germany_Corded_Ware_father.or.son.of.I1538_f ather.or.son.of.I1540_4225_ybp
4.68993603 mur003_Russia_Srubnaya_Alakul.SG_3734_ybp
4.69007463 Ardu2_Estonia_Corded_Ware.SG_4638_ybp
4.97046276 N44_Poland_CWC_o.SG_4405_ybp
4.97464572 I7280_Czech_Corded_Ware_4200_ybp
5.08506637 RISE505_Russia_Andronovo.SG_3636_ybp


Distance to: kzb005_srubno_alakulskaya_1881_1692bce_
0.75325958 kzb008_srubno_alakulskaya_1888_1696bce_
2.25359712 kzb006_srubno_alakulskaya_1771_1626bce_
3.44971013 ZVEJ28_Latvia_LN1_5039_4626_BC3089_2676_cal_BC_F_U 5a1_
3.52889501 kzb007_srubno_alakulskaya_1873_1637bce_
4.77351024 kzb009_srubno_alakulskaya_1764_1624bce_
4.78932146 R1aM4170I6561_Ukraine_3500_BC
5.70634734 mur003_Russia_Srubnaya_Alakul.SG_3734_ybp
5.70649630 EarlyBA_PL_N17_1953-1880_BC
6.30815345 I0234_Russia_Srubnaya_3675_ybp
6.95356743 I1532_Germany_Corded_Ware_4225_ybp
7.16387465 I0103_Corded_Ware_Germany_
7.19198165 N45_Poland_CWC.SG_4405_ybp
7.36843945 RISE446_Germany_Corded_Ware.SG_4597_ybp


Does it depend on the sequencing detail which is higher in scientific samples than in commercial ones?

[Ion Basescul]

What is the ultimate accuracy of Eurogenes K13? For example native brother and sister (Ukrainians):

https://s8.hostingkartinok.com/uploads/images/2021/01/27276844d1a2564445dd3d12ab8b4410.png

You shouldn't take it too seriously. They can be siblings and be further apart than some averaegs.

[vbnetkhio]

But there are some ancient samples which are closer to each other:







Does it depend on the sequencing detail which is higher in scientific samples than in commercial ones?

you are looking at way too small differences, admixture calculators are not that precise. a distance of 2-3 means that 2 samples are pretty much identical.
for example, if you compare the 23andme and myheritage files of the same person, the distance will be 2-3.

but even if you used much more precise tools, siblings wouldn't be genetically identical, because siblings don't inherit equally from all 4 grandparents.

4 sibling results for example:

srb1,25.3,31.19,16.95,8.89,13.83,1.55,0,0,1.38,0,0 .8,0,0.11
srb2,23.33,31.36,17.1,10.63,13.91,0.85,0,0,1.05,0. 41,0.77,0.58,0
srb3,21.92,34.47,15.51,8.88,16.28,1.76,0,0,0.06,0. 81,0.31,0,0
srb4,20.26,34.64,18.6,8.16,15.81,0,0,0,1.64,0,0.63 ,0,0.26

as you can see, 1 is very similar to 2, and 3 is very similar to 4.

so the answer is, admixture calculators do detect some similarity between siblings, it's not completely irrelevant.

but at the same time, you could end up being closer to some ancient sample, or some random person who isn't your close relative, than to your brother or sister.

[Ion Basescul]

you are looking at way too small differences, admixture calculators are not that precise. a distance of 2-3 means that 2 samples are pretty much identical.
for example, if you compare the 23andme and myheritage files of the same person, the distance will be 2-3.



Yep

Distance to: IonBasescul_MyHeritage
2.84921042 IonBasescul_23andme
2.95803989 IonBasescul_Merged


Distance to: IonBasescul_23andme
0.36414283 IonBasescul_Merged
2.84921042 IonBasescul_MyHeritage







but even if you used much more precise tools, siblings wouldn't be genetically identical, because siblings don't inherit equally from all 4 grandparents.

4 sibling results for example:


as you can see, 1 is very similar to 2, and 3 is very similar to 4.

Yeah, they are all over the place, which is also true in our case.

Distance to: srb1
1.57657857 Serb_north
2.08194620 Croat_South
2.51503479 Bosniak
2.70246184 Serb
2.84300897 srb2
2.91183791 Serb_central
2.93552380 Romania_Moldavia_North
3.36573915 Moldova_average
3.54809808 Moldova_Centre
3.79172784 Romania_Maramures
4.16444474 Croat_West
4.61512730 Croat
4.65113965 Moldova_North
4.78953025 Csángó-Ceangău
4.81201621 Székely
5.05461176 Croat_East
5.30576102 Hungarian_Transylvania
5.63246838 Romania_Moldavia_South
5.71159347 Romania_Crisana
5.74054004 srb3
6.30739249 Hungarian_Alföld
6.43338169 Romania_Transylvania
6.51584991​ Serb_south
6.85575671 srb4
6.88771370 Romania_average

Distance to: srb2
2.63269824 Moldova_average
2.84300897 srb1
2.90253338 Serb_north
3.07410149 Moldova_Centre
3.36038688 Serb
3.46775143 Bosniak
3.49207675 Romania_Moldavia_North
3.98292606 Serb_central
4.15848530 Croat_South
4.29102552 Romania_Maramures
4.50251041 Moldova_North
5.03824374 srb3
5.70392847 Romania_Moldavia_South
5.81433573 srb4
6.26660993 Romania_Crisana
6.39017997 Croat_East
6.43884306 Csángó-Ceangău
6.45416920 Croat_West
6.45964395 Serb_south
6.47838714 Romania_Transylvania
6.56206522 Romania_average
6.57290651 Croat
6.75575310 Székely
7.13645570 Romania_Banat
7.33207338 Montenegrin

Distance to: srb3
4.41497452 srb4
4.44445722 Bosniak
4.93629416 Moldova_average
4.98985972 Moldova_North
5.03824374 srb2
5.07860217 Moldova_Centre
5.39030611 Serb_north
5.45174284 Romania_Moldavia_North
5.74054004 srb1
5.92384166 Croat_South
6.10318769 Serb
6.33357719 Serb_central
6.59562734 Croat_East
6.89102315 Romania_Maramures
7.75586230 Croat
7.96249961 Croat_West
8.09427576 Serb_south
8.29949998 Romania_Moldavia_South
8.82101468 Ukrainian_Ivano_Frankivsk
9.07411704 Romania_average
9.13202606 Bulgaria_Northwestern
9.24374383 Romania_Transylvania
9.29069965 Romania_Crisana
9.37568131 Ukrainian_Carpathian
9.57286269 Romania_Banat

Distance to: srb4
4.41497452 srb3
5.81433573 srb2
6.68314297 Moldova_average
6.78987481 Bosniak
6.79662416 Moldova_North
6.85575671 srb1
7.03086054 Serb_north
7.03187031 Moldova_Centre
7.35389013 Serb
7.59779573 Romania_Moldavia_North
7.66928941 Serb_central
7.82317710 Croat_South
8.14745359 Romania_Maramures
8.86533135 Croat_East
8.92251646 Serb_south
9.39457822 Romania_Moldavia_South
9.72495758 Croat
9.85268999 Bulgaria_Northwestern
9.90864269 Romania_average
9.98930428 Croat_West
10.15415186 Romania_Transylvania
10.17319517 Ukrainian_Ivano_Frankivsk
10.17521007 Romania_Crisana
10.17899307 Romania_Banat
10.35696867 Moldova_South

Distance to: IonBasescul_MyHeritage
3.11846116 Moldova_average
3.25053842 Moldova_Centre
3.86539778 Romania_Moldavia_North
4.09677922 IonBasescul_brother_MyHeritage
4.25556107 Serb_north
4.29585847 Bosniak
4.45554710 Moldova_North
4.75713149 Serb
4.94421885 Croat_South
5.04804913 Romania_Maramures
5.07353920 Csángó-Ceangău
5.31842082 Serb_central
6.02309721 Székely
6.33107416 Romania_Moldavia_South
6.52592522 Hungarian_Transylvania
6.57737790 Croat_East
6.73002229 Croat
6.77424535 Croat_West
6.91711645 Romania_Crisana
7.07968926 Romania_Transylvania
7.19854152 Romania_average
7.72403392 Serb_south
7.79401694 Romania_Banat
7.90850175 Hungarian_Alföld
8.07808146 Montenegrin

Distance to: IonBasescul_brother_MyHeritage
4.09677922 IonBasescul_MyHeritage
4.49091305 Moldova_North
4.70724973 Moldova_average
4.85384384 Moldova_Centre
5.44000000 Bosniak
5.96441950 Romania_Moldavia_North
6.20151594 Serb_north
6.80723879 Serb
6.84440648 Croat_South
7.22142645 Romania_Maramures
7.42079511 Serb_central
7.63490013 Croat_East
8.34057552 Csángó-Ceangău
8.46086284 Croat
8.58984866 Romania_Moldavia_South
8.99995556 Croat_West
9.18155760 Romania_average
9.31432767 Székely
9.38398636 Romania_Transylvania
9.38750766 Serb_south
9.44433693 Romania_Crisana
9.56764861 Romania_Banat
9.77145332 Hungarian_Transylvania
9.80855749 Ukrainian_Carpathian
9.87975708 Hungarian_Alföld

[Abriekman]

Deleted

[Abriekman]

I am not sure that paternal grandparents of my mother identified as Ukrainian, especially grandmother as she was from Chisinau. The weird thing is that my mother and her family always spoke Ukrainian and were Ukrainians according to their documents in Soviet times, but they looked differently from the rest. My mother even remembers being called a "Gypsy". There was an assimilation, I suppose. Even the surname looks like a Romanian surname with an added Ukrainian ending which I understand only now.

My Bulgarian, even majority of Polish ancestors were Ukrainians by documents as well and probably spoke only Russian.

[Ion Basescul]

Jew from Odessa


<tbody>
North_Atlantic
16.04 Pct


Baltic
10.58 Pct


West_Med
17.97 Pct


West_Asian
7.81 Pct


East_Med
36.36 Pct


Red_Sea
7.52 Pct


South_Asian
1.2 Pct


East_Asian
0.43 Pct


Siberian
1.08 Pct


Amerindian
-


Oceanian
-


Northeast_African
0.98 Pct


Sub-Saharan
-

</tbody>

[Ion Basescul]

From Donetsk (Pokrovsk)..PM me if you want the email to contact the kits' admin for more details about their ancestry


<tbody>
North_Atlantic
29.96 Pct


Baltic
42.08 Pct


West_Med
11.62 Pct


West_Asian
7.32 Pct


East_Med
3.94 Pct


Red_Sea
-


South_Asian
1.48 Pct


East_Asian
-


Siberian
0.81 Pct


Amerindian
2.02 Pct


Oceanian
-


Northeast_African
-


Sub-Saharan
0.78 Pct

</tbody>


<tbody>
North_Atlantic
31.55 Pct


Baltic
34.17 Pct


West_Med
12.63 Pct


West_Asian
6.33 Pct


East_Med
9.79 Pct


Red_Sea
0.33 Pct


South_Asian
2.17 Pct


East_Asian
-


Siberian
1.45 Pct


Amerindian
1.58 Pct


Oceanian
-


Northeast_African
-


Sub-Saharan
-

</tbody>


<tbody>
North_Atlantic
29.71 Pct


Baltic
44.98 Pct


West_Med
9.47 Pct


West_Asian
8.51 Pct


East_Med
5.76 Pct


Red_Sea
-


South_Asian
0.23 Pct


East_Asian
-


Siberian
0.76 Pct


Amerindian
-


Oceanian
0.56 Pct


Northeast_African
-


Sub-Saharan
-

</tbody>


<tbody>
North_Atlantic
29.87 Pct


Baltic
43.4 Pct


West_Med
9.86 Pct


West_Asian
5.92 Pct


East_Med
4.86 Pct


Red_Sea
-


South_Asian
1.5 Pct


East_Asian
-


Siberian
1.44 Pct


Amerindian
2.78 Pct


Oceanian
-


Northeast_African
-


Sub-Saharan
0.37 Pc

</tbody>


<tbody>
North_Atlantic
30 Pct


Baltic
42.76 Pct


West_Med
10.65 Pct


West_Asian
7.24 Pct


East_Med
3.37 Pct


Red_Sea
-


South_Asian
-


East_Asian
-


Siberian
3.86 Pct


Amerindian
1.63 Pct


Oceanian
-


Northeast_African
-


Sub-Saharan
0.5 Pct

</tbody>


<tbody>
North_Atlantic
22.33 Pct


Baltic
48.58 Pct


West_Med
11.63 Pct


West_Asian
5.55 Pct


East_Med
5.05 Pct


Red_Sea
-


South_Asian
1.59 Pct


East_Asian
-


Siberian
2.46 Pct


Amerindian
2.65 Pct


Oceanian
0.06 Pct


Northeast_African
-


Sub-Saharan
0.1 Pct

</tbody>

[Dirdepo]

Ternopilska

Admix Results (sorted):

# Population Percent
1 Baltic 37.75
2 North_Atlantic 27.73
3 West_Med 13.05
4 East_Med 9.77
5 West_Asian 6.73
6 Siberian 3.07
7 Red_Sea 1.25
8 South_Asian 0.33
9 Oceanian 0.17
10 Sub-Saharan 0.12
11 East_Asian 0.03

Single Population Sharing:

# Population (source) Distance
1 Croatian 3.84
2 Ukrainian_Lviv 5.87
3 Moldavian 6.15
4 South_Polish 6.26
5 Ukrainian 6.78
6 Hungarian 7.16
7 Polish 9.78
8 Southwest_Russian 10.16
9 East_German 10.68
10 Ukrainian_Belgorod 10.9
11 Austrian 11.37
12 Serbian 11.38
13 Russian_Smolensk 11.76
14 Estonian_Polish 12.09
15 Belorussian 12.62
16 Kargopol_Russian 13.9
17 Southwest_Finnish 14.76
18 Romanian 15.21
19 Erzya 16.06
20 Finnish 16.15

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73.2% Southwest_Russian + 26.8% North_Italian @ 1.8
2 51.7% Estonian + 48.3% Bulgarian @ 1.89
3 51.5% Romanian + 48.5% Estonian @ 2.01
4 61.8% Estonian + 38.2% Greek_Thessaly @ 2.08
5 67.3% Estonian + 32.7% Central_Greek @ 2.08
6 69.9% Estonian + 30.1% South_Italian @ 2.21
7 51.6% Serbian + 48.4% Estonian_Polish @ 2.32
8 63.7% Ukrainian + 36.3% Serbian @ 2.36
9 68% Estonian + 32% East_Sicilian @ 2.39
10 59% Serbian + 41% Estonian @ 2.46
11 55.2% Serbian + 44.8% Kargopol_Russian @ 2.49
12 85.4% Croatian + 14.6% East_Finnish @ 2.5
13 75% Southwest_Russian + 25% Tuscan @ 2.54
14 82.5% Ukrainian + 17.5% Tuscan @ 2.56
15 76.4% Southwest_Russian + 23.6% Spanish_Andalucia @ 2.58
16 88.1% South_Polish + 11.9% Algerian_Jewish @ 2.59
17 83.6% Ukrainian + 16.4% Italian_Abruzzo @ 2.59
18 86% South_Polish + 14% Ashkenazi @ 2.61
19 84.2% Ukrainian + 15.8% West_Sicilian @ 2.61
20 60.6% Serbian + 39.4% Lithuanian @ 2.62

Kharkiv

Admix Results (sorted):

# Population Percent
1 Baltic 49.51
2 North_Atlantic 27.37
3 West_Med 10.64
4 East_Med 4.69
5 West_Asian 2.48
6 Siberian 2.13
7 South_Asian 1.93
8 Oceanian 0.66
9 Red_Sea 0.52
10 Amerindian 0.07

Single Population Sharing:

# Population (source) Distance
1 Estonian_Polish 2.59
2 Belorussian 3.81
3 Russian_Smolensk 4.08
4 Southwest_Russian 5.26
5 Polish 5.75
6 Lithuanian 6.23
7 Ukrainian 6.55
8 Ukrainian_Belgorod 6.72
9 Estonian 7.35
10 Kargopol_Russian 7.37
11 Ukrainian_Lviv 8.18
12 South_Polish 8.3
13 Erzya 9.89
14 East_Finnish 9.99
15 Finnish 10.23
16 Southwest_Finnish 12.35
17 Croatian 14.06
18 Moldavian 16.96
19 Hungarian 17.77
20 East_German 18.43

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 98.4% Estonian_Polish + 1.6% Sardinian @ 2.41
2 98.9% Estonian_Polish + 1.1% Southwest_French @ 2.56
3 99.5% Estonian_Polish + 0.5% Dolgan @ 2.56
4 99.6% Estonian_Polish + 0.4% Evenki @ 2.56
5 99.6% Estonian_Polish + 0.4% Evens @ 2.56
6 91.2% Lithuanian + 8.8% Sardinian @ 2.56
7 99.6% Estonian_Polish + 0.4% Yakut @ 2.57
8 99.7% Estonian_Polish + 0.3% Papuan @ 2.57
9 99.3% Estonian_Polish + 0.7% French_Basque @ 2.57
10 99.5% Estonian_Polish + 0.5% Selkup @ 2.57
11 99.2% Estonian_Polish + 0.8% Spanish_Cantabria @ 2.57
12 99.5% Estonian_Polish + 0.5% Ket @ 2.57
13 99.2% Estonian_Polish + 0.8% Spanish_Valencia @ 2.57
14 99.6% Estonian_Polish + 0.4% Oroqen @ 2.58
15 99.3% Estonian_Polish + 0.7% Spanish_Aragon @ 2.58
16 99.7% Estonian_Polish + 0.3% NAN_Melanesian @ 2.58
17 99.3% Estonian_Polish + 0.7% Spanish_Andalucia @ 2.58
18 99.4% Estonian_Polish + 0.6% Spanish_Castilla_La_Mancha @ 2.58
19 99.3% Estonian_Polish + 0.7% Spanish_Galicia @ 2.58
20 99.4% Estonian_Polish + 0.6% North_Italian @ 2.58

[Dirdepo]

I got 473737373636626262828 Ukrainian kits

[Ion Basescul]

I got 473737373636626262828 Ukrainian kits

Welcome back, king

[smd555]

I have noticed two samples from Rivnenska oblast with the highest West Asian ("Caucasian") component among other Ukrainians:


Ukraine_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

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

[Abriekman]

I have noticed two samples from Rivnenska oblast with the highest West Asian ("Caucasian") component among other Ukrainians:

And the lowest East Med

[Ion Basescul]

I have noticed two samples from Rivnenska oblast with the highest West Asian ("Caucasian") component among other Ukrainians:

Sometimes the components are spread weirdly. I have 11.25% with 78k SNPs from MyHeritage and 9.8% with 180k SNPs from the merged superkit. That's why I personally look at the sum of West Med + West Asian + East Med + Red Sea.

[Abriekman]

Sometimes the components are spread weirdly. I have 11.25% with 78k SNPs from MyHeritage and 9.8% with 180k SNPs from the merged superkit. That's why I personally look at the sum of West Med + West Asian + East Med + Red Sea.

Do West Med and East Med overlap as well?

[Ion Basescul]

Do West Med and East Med overlap as well?

Do you mean in my case? They stay at about the same level. The difference is mainly in West Asian, which when merged seems to have gone in East Asian and Siberian. North Atlantic and Baltic swap around some percentages, and then there is also a 1% gain in their sum, which probably comes from what was interpreted as West Med, if I were to guess.

Top is 180k merged, bottom is 78k MyHeritage

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


25.47
29.48
15.06
9.86
12.89
1.53
0.63
1.83
2.85
0
0.40
0
0


23.53
30.47
15.75
11.25
12.26
1.47
0.66
1.12
2.34
0.10
1.05
0
0

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
IonBasescul_Merged


3.21347164
Csángó-Ceangău


3.24149657
Romania_Moldavia_North


3.54636434
Székely


3.67197495
Moldova_Centre


3.80744008
Moldova_average


3.91760131
Serb_north


4.20286807
Croat_South


4.25883787
Hungarian_Transylvania


4.30984919
Bosniak


4.35443452
Serb


</tbody>


<tbody>
Distance to:
IonBasescul_MyHeritage


3.11846116
Moldova_average


3.25053842
Moldova_Centre


3.86539778
Romania_Moldavia_North


4.25556107
Serb_north


4.29585847
Bosniak


4.45554710
Moldova_North


4.75713149
Serb


4.94421885
Croat_South


5.04804913
Romania_Maramures


5.07353920
Csángó-Ceangău


</tbody>

[Abriekman]

Do you mean in my case? They stay at about the same level. The difference is mainly in West Asian, which when merged seems to have gone in East Asian and Siberian. North Atlantic and Baltic swap around some percentages, and then there is also a 1% gain in their sum, which probably comes from what was interpreted as West Med, if I were to guess.

Top is 180k merged, bottom is 78k MyHeritage

<google-sheets-html-origin style="color: rgb(0, 0, 0); font-size: medium;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
N_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
NE_African
Sub-Saharan


25.47
29.48
15.06
9.86
12.89
1.53
0.63
1.83
2.85
0
0.40
0
0


23.53
30.47
15.75
11.25
12.26
1.47
0.66
1.12
2.34
0.10
1.05
0
0

</tbody>
</google-sheets-html-origin>

<tbody>
Distance to:
IonBasescul_Merged


3.21347164
Csángó-Ceangău


3.24149657
Romania_Moldavia_North


3.54636434
Székely


3.67197495
Moldova_Centre


3.80744008
Moldova_average


3.91760131
Serb_north


4.20286807
Croat_South


4.25883787
Hungarian_Transylvania


4.30984919
Bosniak


4.35443452
Serb


</tbody>


<tbody>
Distance to:
IonBasescul_MyHeritage


3.11846116
Moldova_average


3.25053842
Moldova_Centre


3.86539778
Romania_Moldavia_North


4.25556107
Serb_north


4.29585847
Bosniak


4.45554710
Moldova_North


4.75713149
Serb


4.94421885
Croat_South


5.04804913
Romania_Maramures


5.07353920
Csángó-Ceangău


</tbody>

I ask, because my 2 Ashkenazi segments, what 23andme assigned to me have increased West Med, while other are East Med and Red Sea

[Ion Basescul]

I ask, because my 2 Ashkenazi segments, what 23andme assigned to me have increased West Med, while other are East Med and Red Sea

From my experience, they boost mainly East Med and Red Sea visibly, but if the gene flow is small then I wouldn't be surprised if it were interpreted as West Med and West Asian more noticeably.

[PAGANE]

Purpose: Pagan
Distance: 4.2931% / 4.29310758
37.9 o_Ukraine_Zhytomyrska
31.7 Ukraine_Zakarpattia
27.9 about_Ukraine_Zaporizka
2.5 Ukraine_Chernivtsi


Distance to: Pagane
9,88960565 o_Ukraine_Luhansk: Lugansk_EG600093
13.33856814 o_Ukraine_Zaporizka: r1a2b
15.19168523 Ukraine_Zakarpatska: Tyachiv_district_Krychovo_EG60004
15.25769314 Ukraine_Zakarpatska: Perechyn_district_Turji_Remety_EG60008_
15.49874188 Ukraine_Ternopilska: Berezhany_district_Narajiv_EG600011
15,62879394 Ukraine_Zakarpatska: Mukachiv_district_Zavydovo_EG60007
16.27590858 Ukraine_Zakarpatska: Vynogradiv_EG600035
16,58156808 Ukraine_Chernivtsi: R1a1c_
16.92648516 Ukraine_Zakarpatska: Tyachiv_district_Ternovo_EG600010
17.23889498 Ukraine_Lviv: molgen_
17.27457091 Ukraine_Zakarpattia: Rahiv_district_Kosivska_Polyana_EG60001_
17,77231274 Ukraine_Zakarpatska: Vynogradiv_district_Koroleve_EG600027
18.18357226 Ukraine_Zakarpatska: Irshava_district_Dobrobratovo_EG60002
18.37090635 Ukraine_Lvivska: Turka_district_Kryvka_EG600018
18.50221608 Ukraine_Ivano-Frankivsk: apricity_
18.95006069 Ukraine_Ivano-Frankivsk: apricity_
19,03410098 Ukraine_Zakarpatska: Mizhgirya_district_Kolochava_EG600032
19,57072303 Ukraine_Chernivetska: Zastavne_district_Zadubrivka_EG600019
19,59521370 Ukraine_Zakarpatska: Uzhgorod_district_Hudlevo_EG600076
19,85798832 Ukraine_Lvivska: Turka_EG600089
20.02080668 Ukraine_Zakarpatska: Uzhgorod_district_Lyahivtsi_EG60005
20.04913464 Ukraine_Zakarpatska: Uzhgorod_EG600096
20.20149499 Ukraine_Lvivska: Mykolaiv_district_Novyj_Rozdil_EG600090_
20.25125181 Ukraine_Zakarpatska: Vynogradiv_district_Oleshnyk_EG60009
20.35426982 Ukraine_Ivano-Frankivsk: apricity_

Distance to: Pagane
5.93559625 43,60% o_Ukraine_Zhytomyrska: EG600048 + 56,40% Ukraine_Zakarpatska: Vynogradiv_EG600035
6.43821820 49,60% o_Ukraine_Zhytomyrska: EG600048 + 50,40% Ukraine_Lvivska: Mykolaiv_district_Novyj_Rozdil_EG600090_
6,67678747 62.60% o_Ukraine_Zaporizka: r1a2b + 37.40% o_Ukraine_Zhytomyrska: EG600048
6.67904991 46,80% o_Ukraine_Zhytomyrska: EG600048 + 53,20% Ukraine_Lvivska: Turka_district_Kryvka_EG600018
6,68314885 72.60% o_Ukraine_Luhansk: Lugansk_EG600093 + 27.40% o_Ukraine_Zhytomyrska: EG600048
6.72028254 53,40% o_Ukraine_Zhytomyrska: EG600048 + 46,60% Ukraine_Ivano-Frankivska: Rogatyn_EG600024
6.79774048 48,60% o_Ukraine_Zhytomyrska: EG600048 + 51,40% Ukraine_Chernivetska: Zastavne_district_Zadubrivka_EG600019
6.84060269 51,00% o_Ukraine_Zhytomyrska: EG600048 + 49,00% Ukraine_Lvivska: Sambir_EG600014
6,97753149 48,80% o_Ukraine_Zhytomyrska: EG600048 + 51,20% Ukraine_Zakarpatska: Uzhgorod_district_Hudlevo_EG600076
6,98371672 55,40% o_Ukraine_Zhytomyrska: EG600048 + 44,60% Ukraine_Kropyvnytska: EG600092_
6,98543860 53,60% o_Ukraine_Zhytomyrska: EG600048 + 46,40% Ukraine_Lvivska: EG600062_
7,09058156 42,00% o_Ukraine_Zhytomyrska: EG600048 + 58,00% Ukraine_Zakarpatska: Mukachiv_district_Zavydovo_EG60007
7.17772862 57,60% o_Ukraine_Zhytomyrska: EG600048 + 42,40% Ukraine_Sumska: EG600086_
7,29135523 52,00% o_Ukraine_Zhytomyrska: EG600048 + 48,00% Ukraine_Zakarpatska: Mukachiv_district_Zavydovo_EG600012
7,34147509 45,80% o_Ukraine_Zhytomyrska: EG600048 + 54,20% Ukraine_Zakarpatska: Vynogradiv_district_Koroleve_EG600027
7.42626720 45,00% o_Ukraine_Zhytomyrska: EG600048 + 55,00% Ukraine_Zakarpatska: Rahiv_district_Kosivska_Polyana_EG60001_
7.43301399 56,00% o_Ukraine_Zhytomyrska: EG600048 + 44,00% Ukraine_Zakarpatska: Velykyj_Bereznyj_district_Malyj_Bereznyj_EG600016
7.46788978 49,40% o_Ukraine_Zhytomyrska: EG600048 + 50,60% Ukraine_Zakarpatska: Uzhgorod_district_Lyahivtsi_EG60005
7.55722010 60,80% o_Ukraine_Zhytomyrska: EG600048 + 39,20% Ukraine_Chernihivska: Tshern_Ucering2209
7.61162043 49,00% o_Ukraine_Zhytomyrska: EG600048 + 51,00% Ukraine_Lvivska: Turka_EG600089
7.70864315 61,00% o_Ukraine_Zhytomyrska: EG600048 + 39,00% Ukraine_Chernihivska: R1a1c_
7,71597371 50,20% o_Ukraine_Zhytomyrska: EG600048 + 49,80% Ukraine_Zakarpatska: Uzhgorod_EG600036
7,71599723 57,40% o_Ukraine_Zhytomyrska: EG600048 + 42,60% Ukraine_Zhytomyrska: Korosten_district_Veselivka_EG600045
7,72841122 41,40% o_Ukraine_Zhytomyrska: EG600048 + 58,60% Ukraine_Ternopilska: Berezhany_district_Narajiv_EG600011
7,79177301 57,00% o_Ukraine_Zhytomyrska: EG600048 + 43,00% Ukraine_Rivnenska: EG600042_

[smd555]

Sometimes the components are spread weirdly. I have 11.25% with 78k SNPs from MyHeritage and 9.8% with 180k SNPs from the merged superkit. That's why I personally look at the sum of West Med + West Asian + East Med + Red Sea.

There are fluctuations, but within 1-3%. Basic ratios of the main components are preserved. For example, for Jews high level of East Med cannot go significantly into West Med or West Asian, otherwise they would become French or Georgians respectively. Same with these samples from the Rivnenska oblast. Despite the fact that a couple of percent may "flow" between the components, I think the basic ratio of high West Asian and low East Med should remain. This ratio is typical for nowadays populations of Dagestan and in ancient times it was typical for Alans/Sarmatians/Corded Ware etc. Rivnenska oblast should be genetically explored more carefully.

[smd555]

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-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

https://s8.hostingkartinok.com/uploads/images/2021/01/f576bef74c2b2605ab858ae9da650ca2.jpg

https://s8.hostingkartinok.com/uploads/images/2021/01/fcc1225af616101fccdce4a286375d0f.jpg

[Dirdepo]

I have noticed two samples from Rivnenska oblast with the highest West Asian ("Caucasian") component among other Ukrainians:

Pole from Ivano-Frankivsk (older generation, pre-war)

Admix Results (sorted):

# Population Percent
1 Baltic 40.09
2 North_Atlantic 25.6
3 West_Asian 14.31
4 West_Med 11.11
5 East_Med 4.46
6 Red_Sea 1.56
7 Amerindian 1.15
8 Siberian 0.66
9 Northeast_African 0.37
10 Oceanian 0.32
11 South_Asian 0.27
12 Sub-Saharan 0.1

Single Population Sharing:

# Population (source) Distance
1 Ukrainian_Lviv 6.81
2 Ukrainian 8.28
3 South_Polish 8.52
4 Croatian 8.54
5 Ukrainian_Belgorod 8.69
6 Moldavian 9.49
7 Southwest_Russian 9.72
8 Polish 10.02
9 Russian_Smolensk 10.96
10 Hungarian 12.35
11 Estonian_Polish 12.4
12 Belorussian 13.11
13 Kargopol_Russian 13.13
14 Erzya 14.22
15 East_German 14.73
16 Austrian 15.57
17 Lithuanian 16.07
18 Serbian 16.11
19 Estonian 16.38
20 Southwest_Finnish 17.01

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 81.6% Polish + 18.4% North_Ossetian @ 2.24
2 80.4% Polish + 19.6% Kabardin @ 2.28
3 81.4% Polish + 18.6% Adygei @ 2.44
4 82.4% Polish + 17.6% Ossetian @ 2.47
5 81.2% Polish + 18.8% Balkar @ 2.51
6 80.1% Polish + 19.9% Chechen @ 2.54
7 84.7% Polish + 15.3% Abhkasian @ 2.69
8 84% Polish + 16% Georgian @ 2.71
9 80.6% Polish + 19.4% Lezgin @ 3.08
10 80.6% Polish + 19.4% Kumyk @ 3.15
11 80.2% Polish + 19.8% Tabassaran @ 3.24
12 86.5% Ukrainian_Lviv + 13.5% Tabassaran @ 3.25
13 81.3% Russian_Smolensk + 18.7% Ossetian @ 3.26
14 86.7% Ukrainian_Lviv + 13.3% Chechen @ 3.29
15 87% Ukrainian_Lviv + 13% Lezgin @ 3.36
16 83.6% Ukrainian + 16.4% Tabassaran @ 3.46
17 83.8% Ukrainian + 16.2% Chechen @ 3.46
18 88.2% Ukrainian_Lviv + 11.8% North_Ossetian @ 3.54
19 80.2% Russian_Smolensk + 19.8% Balkar @ 3.6
20 84.2% Ukrainian + 15.8% Lezgin @ 3.64

[smd555]

Pole from Ivano-Frankivsk (older generation, pre-war)

Admix Results (sorted):

# Population Percent
1 Baltic 40.09
2 North_Atlantic 25.6
3 West_Asian 14.31
4 West_Med 11.11
5 East_Med 4.46
6 Red_Sea 1.56
7 Amerindian 1.15
8 Siberian 0.66
9 Northeast_African 0.37
10 Oceanian 0.32
11 South_Asian 0.27
12 Sub-Saharan 0.1

Single Population Sharing:

# Population (source) Distance
1 Ukrainian_Lviv 6.81
2 Ukrainian 8.28
3 South_Polish 8.52
4 Croatian 8.54
5 Ukrainian_Belgorod 8.69
6 Moldavian 9.49
7 Southwest_Russian 9.72
8 Polish 10.02
9 Russian_Smolensk 10.96
10 Hungarian 12.35
11 Estonian_Polish 12.4
12 Belorussian 13.11
13 Kargopol_Russian 13.13
14 Erzya 14.22
15 East_German 14.73
16 Austrian 15.57
17 Lithuanian 16.07
18 Serbian 16.11
19 Estonian 16.38
20 Southwest_Finnish 17.01

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 81.6% Polish + 18.4% North_Ossetian @ 2.24
2 80.4% Polish + 19.6% Kabardin @ 2.28
3 81.4% Polish + 18.6% Adygei @ 2.44
4 82.4% Polish + 17.6% Ossetian @ 2.47
5 81.2% Polish + 18.8% Balkar @ 2.51
6 80.1% Polish + 19.9% Chechen @ 2.54
7 84.7% Polish + 15.3% Abhkasian @ 2.69
8 84% Polish + 16% Georgian @ 2.71
9 80.6% Polish + 19.4% Lezgin @ 3.08
10 80.6% Polish + 19.4% Kumyk @ 3.15
11 80.2% Polish + 19.8% Tabassaran @ 3.24
12 86.5% Ukrainian_Lviv + 13.5% Tabassaran @ 3.25
13 81.3% Russian_Smolensk + 18.7% Ossetian @ 3.26
14 86.7% Ukrainian_Lviv + 13.3% Chechen @ 3.29
15 87% Ukrainian_Lviv + 13% Lezgin @ 3.36
16 83.6% Ukrainian + 16.4% Tabassaran @ 3.46
17 83.8% Ukrainian + 16.2% Chechen @ 3.46
18 88.2% Ukrainian_Lviv + 11.8% North_Ossetian @ 3.54
19 80.2% Russian_Smolensk + 19.8% Balkar @ 3.6
20 84.2% Ukrainian + 15.8% Lezgin @ 3.64

What year was he/she born?

[Dirdepo]

What year was he/she born?

1940

[smd555]

1940

What year were parents born?

[Dirdepo]

What year were parents born?

1910s/20s

[smd555]

1910s/20s

Can it be connected with this?: https://en.wikipedia.org/wiki/Caucasian_Native_Cavalry_Division

[Dirdepo]

Can it be connected with this?: https://en.wikipedia.org/wiki/Caucasian_Native_Cavalry_Division

Absolutely no, they "children and women and elderly" were deported by Russians to Siberia in wagons, where they were chopping logs all day until liberation.

The men fought in Carpathian division in Tobruk, Libya and Montecassino, Italy for Poland and defeated Nazis and ended the war May 1944.

[Ion Basescul]

There are fluctuations, but within 1-3%. Basic ratios of the main components are preserved. For example, for Jews high level of East Med cannot go significantly into West Med or West Asian, otherwise they would become French or Georgians respectively. Same with these samples from the Rivnenska oblast. Despite the fact that a couple of percent may "flow" between the components, I think the basic ratio of high West Asian and low East Med should remain. This ratio is typical for nowadays populations of Dagestan and in ancient times it was typical for Alans/Sarmatians/Corded Ware etc. Rivnenska oblast should be genetically explored more carefully.

Well yes, fluctuations are small and within the 1-2% margin, at least in my case. So in your example with 11% and 10%, they could easily be 8% and 7% for example. That's why it's important to not interpret them too strictly, but to allow this margin of error.

[Radko Sochan]

Distance to: Lithuanian_Gentry_Zhytomyr_1930
3.17214439 Ukraine_Rivnenska:EG600042_
3.48336045 Ukraine_Ivano-Frankivska:Rogatyn_EG600024
3.96218374 Ukraine_Dnipropetrovska:EG600072_
3.98727977 Ukraine_Harkivska:EG600023_
4.40962583 Ukraine_Kropyvnytska:EG600092_
4.46478443 Ukraine_Zakarpatska:Mukachiv_district_Zavydovo_EG6 00012
4.64989247 Ukraine_Rivnenska:EG600043_
4.80962577 Ukraine_Zhytomyrska:EG600050_
4.99824969 Ukraine_Zakarpatska:Velykyj_Bereznyj_district_Maly j_Bereznyj_EG600016
5.13153973 Ukraine_Lvivska:EG600062_
5.61925262 Ukraine_Lvivska:Skole_district_Nyzhne_Synevydne_EG 60006_
5.63179368 Ukraine_Zakarpatska:Uzhgorod_EG600095
5.66317049 Ukraine_Dnipropetrovska:Dnipropetrovsk_district_Ki rovske_EG600074
5.67688295 Ukraine_Lvivska:Sambir_EG600014
5.72278778 Ukraine_Lvivska:EG600064_
5.76813661 Ukraine_Lvivska:Mykolaiv_EG600061
5.84373168 Ukraine_Ternopilska:Monastyrysk_district_Kovalivka _EG600030
5.90550591 Ukraine_Lvivska:Turka_EG600089
5.92948564 Ukraine_Zakarpatska:Uzhgorod_district_Lyahivtsi_EG 60005
5.96586959 Ukraine_Chernihivska:Kozelets_district_Lemeshi_EG6 00053
6.10801113 Ukraine_Rivnenska:R1b8_
6.34881879 Ukraine_Zakarpatska:Uzhgorod_district_Hudlevo_EG60 0076
6.35371545 Ukraine_Zakarpatska:Uzhgorod_EG600036
6.46502900 Ukraine_Dnipropetrovska:Dnipropetrovsk_district_Pi dhorodnye_EG600071
6.47005410 Ukraine_Dnipropetrovska:EG600065_

[smd555]

Another interesting result. High East Med and low West Asian:


Admix Results (sorted):

# Population Percent
1 Baltic 39.69
2 North_Atlantic 32.12
3 East_Med 12.92
4 West_Med 10.24
5 West_Asian 1.51
6 Amerindian 1.28
7 Siberian 0.79
8 South_Asian 0.77
9 Red_Sea 0.68
Admix Results (sorted):

# Population Percent
1 Baltic 38.66
2 North_Atlantic 29.3
3 East_Med 12.03
4 West_Med 10.9
5 West_Asian 5.47
6 Northeast_African 0.94
7 Amerindian 0.93
8 South_Asian 0.69
9 Red_Sea 0.64
10 Siberian 0.23
11 Oceanian 0.18
12 East_Asian 0.01

Admix Results (sorted):

# Population Percent
1 Baltic 40.65
2 North_Atlantic 24.52
3 West_Med 14.67
4 East_Med 12.23
5 West_Asian 2.83
6 South_Asian 1.57
7 Siberian 1.36
8 Amerindian 0.91
9 Red_Sea 0.71
10 Oceanian 0.45
11 Northeast_African 0.07
12 East_Asian 0.02

They are relatives. The second and the third kit are husbands and the first kit is their grandson. The general trend is visible. Taking into account the fact that these are three people, I think it cannot be explained as a fluktuation of components. It may indicate some specific impurity from the fathers side. All ancesors are Ukrainians from Nadvirna district, Ivano-Frankivska oblast.

[Leto]

A Galician

Eurogenes K13 Oracle results:

Kit HG6630682

Admix Results (sorted):

# Population Percent
1 Baltic 34.95
2 North_Atlantic 30.5
3 West_Med 13.24
4 East_Med 10.15
5 West_Asian 4.85
6 Red_Sea 2.35
7 Siberian 1.49
8 South_Asian 1.1
9 Amerindian 1.1
10 East_Asian 0.27

Single Population Sharing:

# Population (source) Distance
1 Hungarian 4.22
2 Croatian 4.55
3 Moldavian 7.18
4 East_German 7.64
5 South_Polish 7.88
6 Austrian 8.14
7 Ukrainian_Lviv 8.27
8 Ukrainian 9.26
9 Serbian 9.98
10 Polish 11.27
11 Southwest_Russian 13.11
12 Ukrainian_Belgorod 13.81
13 Russian_Smolensk 13.99
14 Romanian 14.25
15 Estonian_Polish 14.28
16 Belorussian 14.6
17 Southwest_Finnish 14.7
18 North_Swedish 15.61
19 West_German 15.94
20 Bulgarian 16.74

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61% Estonian + 39% Tuscan @ 1.39
2 63.1% Belorussian + 36.9% North_Italian @ 1.84
3 67.7% Southwest_Russian + 32.3% Spanish_Murcia @ 1.95
4 65.8% Southwest_Russian + 34.2% Portuguese @ 2.03
5 67.4% Southwest_Russian + 32.6% Spanish_Extremadura @ 2.16
6 63.7% Estonian_Polish + 36.3% North_Italian @ 2.26
7 66.8% Southwest_Russian + 33.2% Spanish_Castilla_Y_Leon @ 2.29
8 64.5% Estonian + 35.5% West_Sicilian @ 2.32
9 65.6% Southwest_Russian + 34.4% Spanish_Galicia @ 2.33
10 67.7% Southwest_Russian + 32.3% Spanish_Valencia @ 2.34
11 71.4% Polish + 28.6% Tuscan @ 2.47
12 66.2% Southwest_Russian + 33.8% Spanish_Cataluna @ 2.51
13 56.3% Lithuanian + 43.7% North_Italian @ 2.57
14 64.4% Serbian + 35.6% Estonian @ 2.59
15 64.2% Russian_Smolensk + 35.8% North_Italian @ 2.6
16 68.7% Southwest_Russian + 31.3% Spanish_Castilla_La_Mancha @ 2.6
17 60% Serbian + 40% Southwest_Finnish @ 2.65
18 81.1% Hungarian + 18.9% Estonian_Polish @ 2.67
19 69.2% Southwest_Russian + 30.8% Spanish_Andalucia @ 2.67
20 66.7% Ukrainian_Belgorod + 33.3% Spanish_Murcia @ 2.69

[smd555]

I have clarified. The second and the third kit are husbands and the first kit is their grandson.

[Radko Sochan]

Ukrainian_Poltava-Dykanka-Opishnya,26.02,45.16,10.75,6.86,6.64,0.56,1.26,0.4 5,0.87,0.75,0.36,0.18,0.14


Finished the components of the Eurogenes K13 calculator for all 22 samples of the Poltava average
Despite some differences, Ukrainians are quite "homogeneous" within the country
Are only Moldovan Ukrainians in the top 25 samples? and the Russians? from the Southwest
There are no Belarusians or Poles at a conditional distance of -4 for "Poltava"


Distance to: Ukrainian_Poltava-Dykanka-Opishnya
0.94175368 Ukrainian_Pultawski-Zinkiwski*
1.39007194 Ukrainian
1.97344876 Putrya_Poltava11
2.23103115 Ukraine_Sumska:Ohtyrka_EG600080
2.32374697 Ukraine_Donetska:apricity_
2.43096689 Zlobynets_Poltava4
2.47402506 Ukraine_Zhytomyrska:Ovruch_EG600028
2.72216825 Khutorianskyi_Poltava6
3.00384753 Ukraine_Lvivska:EG600063_
3.03179815 Ukraine_Zhytomyrska:R1a1a_
3.11676114 Fedun_Poltava16
3.14842818 Ukraine_Sumska:Lebedyn_district_Kaminne_EG600077
3.25743764 Moldova_Ukrainian
3.34175104 Ukraine_Chernihivska:Kulykiv_district_Kovchyn_EG60 0060
3.41831830 Ukraine_Donetska:Slovyansk_EG600025
3.45191251 Ukraine_Chernihivska:Kozelets_district_Lemeshi_EG6 00053
3.46641025 Ukraine_Zhytomyrska:Korosten_district_Veselivka_EG 600045
3.46734769 Ukraine_Cherkaska:Hrystynivka_district_Rossoshky_E G600087
3.50610895 Ukraine_Dnipropetrovska:EG600066_
3.51607736 Russian_Southwest
3.57004202 Ukraine_Cherkaska:Tsherk_UCH945
3.61947510 Polomij_Poltava2
3.73036191 Ukraine_Donetska:Gorlivka_EG600026
3.74323390 Ukraine_Zhytomyrska:EG600050_
3.81377765 Ukraine_Dnipropetrovska:Dnipropetrovsk_district_Pi dhorodnye_EG600071

* The first nearest population is the same Poltava population from the first 13 samples
That is, the next 9 samples in a conditional radius of 25 km did not significantly change the proportions of the components

[Art23]

I don't understand how you calculate distances. Based on Eurogenes K13? In Vahaduo?

I have these data:

North_Atlantic 21.88 Pct
Baltic 39.32 Pct
West_Med 12.6 Pct
West_Asian 8.8 Pct
East_Med 12.61 Pct
Red_Sea 0.88 Pct
South_Asian 0.39 Pct
East_Asian 0.38 Pct
Siberian 0.99 Pct
Amerindian 0.82 Pct
Oceanian 1.34 Pct
Northeast_African -
Sub-Saharan -

[Dušan]

I don't understand how you calculate distances. Based on Eurogenes K13? In Vahaduo?

I have these data:

North_Atlantic 21.88 Pct
Baltic 39.32 Pct
West_Med 12.6 Pct
West_Asian 8.8 Pct
East_Med 12.61 Pct
Red_Sea 0.88 Pct
South_Asian 0.39 Pct
East_Asian 0.38 Pct
Siberian 0.99 Pct
Amerindian 0.82 Pct
Oceanian 1.34 Pct
Northeast_African -
Sub-Saharan -

You seems southern plotting Ukrainian.

https://i.imgur.com/zBelew2.png

[Art23]

You seems southern plotting Ukrainian.


Thank you. Ukrainian-Moldovan, but I am still in process of finding out how much "Moldovan". Or maybe it sill passes as native in any Ukrainian oblast?

[Ion Basescul]

From Kherson oblast, not sure if you guys have it already


<tbody>
North_Atlantic
29.82 Pct


Baltic
42.55 Pct


West_Med
9.24 Pct


West_Asian
5.37 Pct


East_Med
6.96 Pct


Red_Sea
-


South_Asian
1.38 Pct


East_Asian
-


Siberian
1.82 Pct


Amerindian
0.73 Pct


Oceanian
1.22 Pct


Northeast_African
0.36 Pct


Sub-Saharan
0.56 Pct

</tbody>

[Abriekman]

Thank you. Ukrainian-Moldovan, but I am still in process of finding out how much "Moldovan". Or maybe it sill passes as native in any Ukrainian oblast?

You are certainly 1/4 or even 1/2. AncestryDNA is the best if you want to calculate how much Balkanic you are in your case. You score about 20%, as I remember, Moldovans probably score half East Euro half Balkanic. AncestryDNA is the best in your case, because even very south-shifted Ukrainians without any real recent Balkanic ancestry do not get any Balkans % here, if you score it there that means very recent Moldovan heritage

[Dušan]

Thank you. Ukrainian-Moldovan, but I am still in process of finding out how much "Moldovan". Or maybe it sill passes as native in any Ukrainian oblast?

You're welcome.
Well, that explains why are you so far from average.

[Nurzat]

running these samples (less the three outliers) together with the K13 updated sheet:

Target: Nurzat
Distance: 0.3427% / 0.34270312
39.3 Ukraine_Ternopilska
17.7 Ukraine_Kropyvnytska
12.8 Ukraine_Sumska
7.2 Abhkasian
7.2 Ukraine_Zakarpatska
6.7 French_Basque
3.3 Sardinia
2.8 Dargin
1.3 Greek_Northern-Thrace
0.7 Turk_East_Black_Sea
0.4 Yoruban
0.3 Dai
0.2 Greek_Western-Thrace
0.1 She


then, only using the Ukrainian samples and Romanian 10 regions averages:

Target: Nurzat
Distance: 1.7171% / 1.71713205 - distance too high
53.3 Ukraine_Ternopilska
15.3 Romania_Muntenia
13.2 Romania_Oltenia
10.2 Ukraine_Zakarpatska
5.5 Ukraine_Kropyvnytska
2.5 Ukraine_Chernivetska


when to Ukrainian and Romanian I add Greek and German samples - much better distance (Caucasus-rich Greek makes sense in the case of Greek boyars in Moldova, that often actually came from present Turkey), but funnily no Romanian samples get chosen, maybe because Moldovans are naturally a sort of a Ukrainian-Greek mix (not ethnically or recent but in terms of macro components, like Farmer plus Steppe model)?

Target: Nurzat
Distance: 0.9940% / 0.99401827
52.4 Ukraine_Ternopilska
21.6 Ukraine_Zakarpatska
11.3 Greek_Western-Thrace
5.3 Greek_Trabzon
5.1 German_West
4.3 Ukraine_Kropyvnytska




Distance to: Nurzat
3.54347287 Ukraine_Ternopilska:Berezhany_district_Narajiv_EG6 00011
5.61690306 Ukraine_Zakarpatska:Perechyn_district_Turji_Remety _EG60008_
6.07224835 Ukraine_Zakarpatska:Mukachiv_district_Zavydovo_EG6 0007
6.45583457 Ukraine_Chernivetska:R1a1c_
7.60067102 Ukraine_Zakarpatska:Vynogradiv_EG600035
7.75555285 Ukraine_Lvivska:Turka_district_Kryvka_EG600018
7.79641584 Ukraine_Zakarpatska:Vynogradiv_district_Koroleve_E G600027
8.12160698 Ukraine_Zakarpatska:Tyachiv_district_Ternovo_EG600 010
8.50670912 Ukraine_Zakarpatska:Tyachiv_district_Krychovo_EG60 004
8.60377824 Ukraine_Zakarpatska:Rahiv_district_Kosivska_Polyan a_EG60001_
8.73530194 Ukraine_Zakarpatska:Irshava_district_Dobrobratovo_ EG60002
8.86401715 Ukraine_Zakarpatska:Mizhgirya_district_Kolochava_E G600032
8.95333457 Ukraine_Ivano-Frankivska:apricity_
9.01995565 Ukraine_Ivano-Frankivska:apricity_
9.10608039 Ukraine_Lvivska:molgen_
9.37773427 Ukraine_Lvivska:Turka_EG600089
9.47803250 o_Ukraine_Luhansk:Lugansk_EG600093
9.67380484 Ukraine_Ivano-Frankivska:apricity_
9.85505961 Ukraine_Zakarpatska:Vynogradiv_district_Oleshnyk_E G60009
9.87759080 Ukraine_Zakarpatska:Uzhgorod_district_Hudlevo_EG60 0076
9.96785333 Ukraine_Zakarpatska:Uzhgorod_district_Lyahivtsi_EG 60005
10.02808057 Ukraine_Zakarpatska:Uzhgorod_EG600096
10.64359902 Ukraine_Zakarpatska:Uzhgorod_EG600036
10.73243682 Ukraine_Zakarpatska:Svalyava_EG60003
10.95893243 Ukraine_Lvivska:Mykolaiv_district_Novyj_Rozdil_EG6 00090_
11.41573038 Ukraine_Zakarpatska:Perechyn_EG600097
11.41724135 o_Ukraine_Zaporizka:r1a2b
11.60157317 Ukraine_Ternopilska:Monastyrysk_district_Kovalivka _EG600030
11.65111583 Ukraine_Lvivska:Mykolaiv_EG600061
12.05646300 Ukraine_Lvivska:Sambir_EG600014
12.18009852 Ukraine_Zakarpatska:Mukachiv_district_Zavydovo_EG6 00012
12.64352799 Ukraine_Lvivska:Sambir_EG600033
12.87931287 Ukraine_Lvivska:Lviv_ULV293
12.99555309 Ukraine_Lvivska:EG600062_
13.15753396 Ukraine_Ivano-Frankivska:Rogatyn_EG600024
13.24639196 Ukraine_Zakarpatska:Uzhgorod_EG600034
13.45163931 Ukraine_Zakarpatska:Uzhgorod_EG600095
13.74622130 Ukraine_Rivnenska:EG600043_
13.94859850 Ukraine_Chernivetska:Zastavne_district_Zadubrivka_ EG600019
14.26186524 Ukraine_Lvivska:EG600064_
14.53224002 Ukraine_Zakarpatska:Velykyj_Bereznyj_district_Maly j_Bereznyj_EG600016
14.63315414 Ukraine_Zakarpatska:Velykyj_Bereznyj_EG600020_
14.64655591 Ukraine_Zaporizka:Berdyansk_EG600013
14.64900338 Ukraine_Kropyvnytska:EG600092_
14.93030810 Ukraine_Chernihivska:Kozelets_district_Lemeshi_EG6 00053
15.09789389 Ukraine_Cherkaska:Tsherk_UCH945
15.30435559 Ukraine_Lvivska:Skole_district_Nyzhne_Synevydne_EG 60006_
15.50341575 Ukraine_Harkivska:EG600023_
15.82537203 Ukraine_Dnipropetrovska:EG600072_
15.84076387 Ukraine_Zhytomyrska:EG600047_

[Nurzat]

but the Ternopil oblast sample from Berezhany looks a bit of an outlier or thereabouts, at least a bit shifted towards Romania, so I ran again K13 updated calculator, including all Ukrainian samples, less the outliers and less Ternopil Berezhany sample:

Target: Nurzat
Distance: 0.5527% / 0.55270249
28.0 Ukraine_Lvivska
19.2 Ukraine_Zakarpatska
11.6 Abhkasian
9.0 Greek_Northern-Thrace
8.4 Ukraine_Zhytomyrska
7.5 French_Basque
7.2 Ukraine_Sumska
5.7 Sardinia
1.5 Dargin
0.9 Ukraine_Ternopilska
0.5 Yoruban
0.4 Dai
0.1 She

[vbnetkhio]

then, only using the Ukrainian samples and Romanian 10 regions averages:

Target: Nurzat
Distance: 1.7171% / 1.71713205 - distance too high
53.3 Ukraine_Ternopilska
15.3 Romania_Muntenia
13.2 Romania_Oltenia
10.2 Ukraine_Zakarpatska
5.5 Ukraine_Kropyvnytska
2.5 Ukraine_Chernivetska


this is probably the best model for you. between Romanians and Southwest Ukrainians.
around 2 is a pefect distance, 4 or more would be high.



when to Ukrainian and Romanian I add Greek and German samples - much better distance (Caucasus-rich Greek makes sense in the case of Greek boyars in Moldova, that often actually came from present Turkey), but funnily no Romanian samples get chosen, maybe because Moldovans are naturally a sort of a Ukrainian-Greek mix (not ethnically or recent but in terms of macro components, like Farmer plus Steppe model)?

Target: Nurzat
Distance: 0.9940% / 0.99401827
52.4 Ukraine_Ternopilska
21.6 Ukraine_Zakarpatska
11.3 Greek_Western-Thrace
5.3 Greek_Trabzon
5.1 German_West
4.3 Ukraine_Kropyvnytska


I think Greek Trabzon and German even out into something like those late West Scythian samples, add Greek_Western-Thrace to that and you again get something Romanian/Moldovan like, so it's just getting broken down into more basic componets here.

[Ion Basescul]

running these samples (less the three outliers) together with the K13 updated sheet:

Target: Nurzat
Distance: 0.3427% / 0.34270312
39.3 Ukraine_Ternopilska
17.7 Ukraine_Kropyvnytska
12.8 Ukraine_Sumska
7.2 Abhkasian
7.2 Ukraine_Zakarpatska
6.7 French_Basque
3.3 Sardinia
2.8 Dargin
1.3 Greek_Northern-Thrace
0.7 Turk_East_Black_Sea
0.4 Yoruban
0.3 Dai
0.2 Greek_Western-Thrace
0.1 She


then, only using the Ukrainian samples and Romanian 10 regions averages:

Target: Nurzat
Distance: 1.7171% / 1.71713205 - distance too high
53.3 Ukraine_Ternopilska
15.3 Romania_Muntenia
13.2 Romania_Oltenia
10.2 Ukraine_Zakarpatska
5.5 Ukraine_Kropyvnytska
2.5 Ukraine_Chernivetska


when to Ukrainian and Romanian I add Greek and German samples - much better distance (Caucasus-rich Greek makes sense in the case of Greek boyars in Moldova, that often actually came from present Turkey), but funnily no Romanian samples get chosen, maybe because Moldovans are naturally a sort of a Ukrainian-Greek mix (not ethnically or recent but in terms of macro components, like Farmer plus Steppe model)?

Target: Nurzat
Distance: 0.9940% / 0.99401827
52.4 Ukraine_Ternopilska
21.6 Ukraine_Zakarpatska
11.3 Greek_Western-Thrace
5.3 Greek_Trabzon
5.1 German_West
4.3 Ukraine_Kropyvnytska




Distance to: Nurzat
3.54347287 Ukraine_Ternopilska:Berezhany_district_Narajiv_EG6 00011
5.61690306 Ukraine_Zakarpatska:Perechyn_district_Turji_Remety _EG60008_
6.07224835 Ukraine_Zakarpatska:Mukachiv_district_Zavydovo_EG6 0007
6.45583457 Ukraine_Chernivetska:R1a1c_
7.60067102 Ukraine_Zakarpatska:Vynogradiv_EG600035
7.75555285 Ukraine_Lvivska:Turka_district_Kryvka_EG600018
7.79641584 Ukraine_Zakarpatska:Vynogradiv_district_Koroleve_E G600027
8.12160698 Ukraine_Zakarpatska:Tyachiv_district_Ternovo_EG600 010
8.50670912 Ukraine_Zakarpatska:Tyachiv_district_Krychovo_EG60 004
8.60377824 Ukraine_Zakarpatska:Rahiv_district_Kosivska_Polyan a_EG60001_
8.73530194 Ukraine_Zakarpatska:Irshava_district_Dobrobratovo_ EG60002
8.86401715 Ukraine_Zakarpatska:Mizhgirya_district_Kolochava_E G600032
8.95333457 Ukraine_Ivano-Frankivska:apricity_
9.01995565 Ukraine_Ivano-Frankivska:apricity_
9.10608039 Ukraine_Lvivska:molgen_
9.37773427 Ukraine_Lvivska:Turka_EG600089
9.47803250 o_Ukraine_Luhansk:Lugansk_EG600093
9.67380484 Ukraine_Ivano-Frankivska:apricity_
9.85505961 Ukraine_Zakarpatska:Vynogradiv_district_Oleshnyk_E G60009
9.87759080 Ukraine_Zakarpatska:Uzhgorod_district_Hudlevo_EG60 0076
9.96785333 Ukraine_Zakarpatska:Uzhgorod_district_Lyahivtsi_EG 60005
10.02808057 Ukraine_Zakarpatska:Uzhgorod_EG600096
10.64359902 Ukraine_Zakarpatska:Uzhgorod_EG600036
10.73243682 Ukraine_Zakarpatska:Svalyava_EG60003
10.95893243 Ukraine_Lvivska:Mykolaiv_district_Novyj_Rozdil_EG6 00090_
11.41573038 Ukraine_Zakarpatska:Perechyn_EG600097
11.41724135 o_Ukraine_Zaporizka:r1a2b
11.60157317 Ukraine_Ternopilska:Monastyrysk_district_Kovalivka _EG600030
11.65111583 Ukraine_Lvivska:Mykolaiv_EG600061
12.05646300 Ukraine_Lvivska:Sambir_EG600014
12.18009852 Ukraine_Zakarpatska:Mukachiv_district_Zavydovo_EG6 00012
12.64352799 Ukraine_Lvivska:Sambir_EG600033
12.87931287 Ukraine_Lvivska:Lviv_ULV293
12.99555309 Ukraine_Lvivska:EG600062_
13.15753396 Ukraine_Ivano-Frankivska:Rogatyn_EG600024
13.24639196 Ukraine_Zakarpatska:Uzhgorod_EG600034
13.45163931 Ukraine_Zakarpatska:Uzhgorod_EG600095
13.74622130 Ukraine_Rivnenska:EG600043_
13.94859850 Ukraine_Chernivetska:Zastavne_district_Zadubrivka_ EG600019
14.26186524 Ukraine_Lvivska:EG600064_
14.53224002 Ukraine_Zakarpatska:Velykyj_Bereznyj_district_Maly j_Bereznyj_EG600016
14.63315414 Ukraine_Zakarpatska:Velykyj_Bereznyj_EG600020_
14.64655591 Ukraine_Zaporizka:Berdyansk_EG600013
14.64900338 Ukraine_Kropyvnytska:EG600092_
14.93030810 Ukraine_Chernihivska:Kozelets_district_Lemeshi_EG6 00053
15.09789389 Ukraine_Cherkaska:Tsherk_UCH945
15.30435559 Ukraine_Lvivska:Skole_district_Nyzhne_Synevydne_EG 60006_
15.50341575 Ukraine_Harkivska:EG600023_
15.82537203 Ukraine_Dnipropetrovska:EG600072_
15.84076387 Ukraine_Zhytomyrska:EG600047_

There is such a thing as too low of a distance. It doesn't mean that the lower the better, because you arrive in overfit territory (https://www.investopedia.com/terms/o/overfitting.asp). The ideal balance is within 2-3% when modelling yourself as part of various references.
Also don't expect to be a perfect 50/50 split. You will likely not be a perfect 50/50 autosomal split between your parents' data, let alone some random references.

[Nurzat]

at least some of the West Med, East Med and Caucasian may and has to be much older than any recent flow of population from the Balkans (Vlachophones) - Central and Western Ukraine was inhabited by Trypillia and Globular Amphora populations that were Sardinian-like, some Neolithic heritage must have stayed in the region. the around 20% low average of West and East med combined must be that old, probably what goes higher may be sign of recent admix, but some other populations brought higher Neolithic scores as well, not only the Vlachs, for example the Hungarians and the Germans

[Kriptc06]

Distance to: Kriptc
26.98065233 Ukraine_Zakarpatska:Perechyn_district_Turji_Remety _EG60008_
27.74954414 Ukraine_Zakarpatska:Vynogradiv_EG600035
28.49063530 Ukraine_Zakarpatska:Tyachiv_district_Krychovo_EG60 004
28.93386597 o_Ukraine_Zhytomyrska:EG600048
29.27313786 Ukraine_Ternopilska:Berezhany_district_Narajiv_EG6 00011
29.30730114 o_Ukraine_Luhansk:Lugansk_EG600093
29.51479121 Ukraine_Lvivska:molgen_
29.53084828 Ukraine_Ivano-Frankivska:apricity_
29.63405473 Ukraine_Zakarpatska:Rahiv_district_Kosivska_Polyan a_EG60001_
29.73444467 Ukraine_Chernivetska:R1a1c_
30.10521882 Ukraine_Zakarpatska:Mukachiv_district_Zavydovo_EG6 0007
30.25762218 Ukraine_Zakarpatska:Vynogradiv_district_Koroleve_E G600027
30.47236945 Ukraine_Zakarpatska:Tyachiv_district_Ternovo_EG600 010
30.84057392 Ukraine_Ivano-Frankivska:apricity_
31.40976918 Ukraine_Lvivska:Turka_district_Kryvka_EG600018
31.54233346 Ukraine_Zakarpatska:Uzhgorod_EG600036
31.56537027 Ukraine_Zakarpatska:Vynogradiv_district_Oleshnyk_E G60009
31.61273319 Ukraine_Lvivska:Turka_EG600089
31.76015428 Ukraine_Zakarpatska:Uzhgorod_EG600096
32.18377386 Ukraine_Zakarpatska:Uzhgorod_district_Lyahivtsi_EG 60005
32.28070941 Ukraine_Zakarpatska:Uzhgorod_district_Hudlevo_EG60 0076
32.36422717 Ukraine_Zakarpatska:Mizhgirya_district_Kolochava_E G600032
32.51463517 Ukraine_Ivano-Frankivska:apricity_
32.57445779 Ukraine_Zakarpatska:Irshava_district_Dobrobratovo_ EG60002
32.84306928 o_Ukraine_Zaporizka:r1a2b

Target: Kriptc
Distance: 2236.5568% / 22.36556759
52.8 Ukraine_Zakarpatska
47.2 o_Ukraine_Zhytomyrska


very distant lol

[Aspirin]

at least some of the West Med, East Med and Caucasian may and has to be much older than any recent flow of population from the Balkans (Vlachophones) - Central and Western Ukraine was inhabited by Trypillia and Globular Amphora populations that were Sardinian-like, some Neolithic heritage must have stayed in the region. the around 20% low average of West and East med combined must be that old, probably what goes higher may be sign of recent admix, but some other populations brought higher Neolithic scores as well, not only the Vlachs, for example the Hungarians and the Germans

Always laugh how you try to connect this visible Balkan genetic influence in Western Ukraine to some super ancient populations which don't make absolutely any sense, because is almost entirely concentrated in Carpathian region, not all Western Ukraine.

[Nurzat]

Always laugh how you try to connect this visible Balkan genetic influence in Western Ukraine to some super ancient populations which don't make absolutely any sense, because is almost entirely concentrated in Carpathian region, not all Western Ukraine.

your theory doesn't follow geography, as you claim: Ivano-Frankivsk (38%) scores more Baltic than Chernivtsi (35%) or Ternopil (37%) and similar to Lviv (39%), anyway close enough to Ukrainian average (42%).

long before Vlachs the Scythians northwest of the Black Sea already had WestMed+EastMed+RedSea 28% on average, with individual scores from 14% to over 50%. so for sure it wasn't Vlachs to introduce Mediterranean genes to Ukrainians, those genes became part of the local genepool long before Slavic ethnogenesis happened

[Aspirin]

your theory doesn't follow geography, as you claim: Ivano-Frankivsk (38%) scores more Baltic than Chernivtsi (35%) or Ternopil (37%) and similar to Lviv (39%), anyway close enough to Ukrainian average (42%).

long before Vlachs the Scythians northwest of the Black Sea already had WestMed+EastMed+RedSea 28% on average, with individual scores from 14% to over 50%. so for sure it wasn't Vlachs to introduce Mediterranean genes to Ukrainians, those genes became part of the local genepool long before Slavic ethnogenesis happened

I don't understand what you're talking about, most of these southern shifted samples are specifically from this area, Ternopil sample is just an outlier, can be a simple post-Soviet mix. The Scythian theory is just laughlable.

https://sun9-45.userapi.com/impg/bAJJcaY1NcJCCKWsHLnX0iCK3UySHPxCSOiClg/eDe-2Lh5QVY.jpg?size=855x557&quality=96&proxy=1&sign=3bc306a93aa9c9d1b358d97db42276f6&type=album

[Nurzat]

I don't understand what you're talking about, most of these southern shifted samples are specifically from this area, Ternopil sample is just an outlier, can be a simple post-Soviet mix. The Scythian theory is just laughlable.

https://sun9-45.userapi.com/impg/bAJJcaY1NcJCCKWsHLnX0iCK3UySHPxCSOiClg/eDe-2Lh5QVY.jpg?size=855x557&quality=96&proxy=1&sign=3bc306a93aa9c9d1b358d97db42276f6&type=album

not only that Ukrainians don't have the bulk of their Mediterranean genes from Vlachs, but even northern and northeastern Romanians have the bulk of their Mediterranean DNA from sources previous to Vlach migration (Vlachs arrived 12th-14th century north of Danube, then slowly northwards and eastwards). because, again, the entire region was populated by Neolithic farmers and the 20% Mediterranean in Ukrainians is a legacy of that, not recent Vlach admixture (except exceptions which are exceptional and not the norm, norm is the norm, norm is Neolithic continuity, diluted, to this day, from Trypillia and Globular Amphora peoples) :coffee:

[Ion Basescul]

your theory doesn't follow geography, as you claim: Ivano-Frankivsk (38%) scores more Baltic than Chernivtsi (35%) or Ternopil (37%) and similar to Lviv (39%), anyway close enough to Ukrainian average (42%).

long before Vlachs the Scythians northwest of the Black Sea already had WestMed+EastMed+RedSea 28% on average, with individual scores from 14% to over 50%. so for sure it wasn't Vlachs to introduce Mediterranean genes to Ukrainians, those genes became part of the local genepool long before Slavic ethnogenesis happened

If Romanians/Moldovans in Chernivtsi oblast can score 23% Atlantic, 37% Baltic, which obviously comes from being heavily mixed with Ukrainians, then there's no way in hell that the average Ukrainian there is this that we have in the thread. Also bear in mind that it is based on only two samples.

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<colgroup><col style="width: 362px"><col width="154"><col width="171"><col width="155"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"><col width="100"></colgroup><tbody>
-
sample size
North_Atlantic
Baltic
West_Med
West_Asian
East_Med
Red_Sea
South_Asian
East_Asian
Siberian
Amerindian
Oceanian
Northeast_African
Sub-Saharan


Chernivetska
2
23.28
35.95
13.66
9.77
12.08
1.28
0
0.19
1.64
1.15
0.5
0.51
0

</tbody>
</google-sheets-html-origin>

[Ion Basescul]

I don't understand what you're talking about, most of these southern shifted samples are specifically from this area, Ternopil sample is just an outlier, can be a simple post-Soviet mix. The Scythian theory is just laughlable.

https://sun9-45.userapi.com/impg/bAJJcaY1NcJCCKWsHLnX0iCK3UySHPxCSOiClg/eDe-2Lh5QVY.jpg?size=855x557&quality=96&proxy=1&sign=3bc306a93aa9c9d1b358d97db42276f6&type=album

I will tell you even more. According to LivingDNA, the territory that you highlighted is more Southern than some districts in Republic of Moldova. You see pure Moldovans are more Northern than those Ukrainians like that.

Here are their regions for East Balkans and Northeast Europe:

https://i.ibb.co/z5cLPb6/CJ-Living-DNA-2020.png

Now let's look closer and overlay them over a map:

https://i.ibb.co/h269x2k/Living-DNA2-Balkans-Vs-NEEurope.png

Zoomed in on Moldova:

https://i.ibb.co/bJSMHTz/Living-DNA-Balkans-Vs-NEEurope.png

[Lucas]

I will tell you even more. According to LivingDNA, the territory that you highlighted is more Southern than some districts in Republic of Moldova. You see pure Moldovans are more Northern than those Ukrainians like that.

Here are their regions for East Balkans and Northeast Europe:
]

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

[Nurzat]

I will tell you even more. According to LivingDNA, the territory that you highlighted is more Southern than some districts in Republic of Moldova. You see pure Moldovans are more Northern than those Ukrainians like that.

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.

[Ion Basescul]

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

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.

[Ion Basescul]

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.

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/wikipedia/commons/8/81/Rep.Moldova_-_Harta_Etnic%C4%83_%282014%29.png

[Ion Basescul]

But it is also true that GEDmatch is kind of weak for people from Moldova at least. If someone was ever to find my kit there they will never be able to guess that I am Romanian or Moldovan from matches alone. My list looks like a Slavo-Anglo mix and there are no Moldovans or Romanians in the top 100.
But for Ukrainians, who are plenty in numbers there, there are no ambiguities. Those in Ivano-Frankivsk are definitely mixed. Someone also mentioned that their toponymy is also strongly Romanian, which further supports their historic presence there.


Here are my matches lol

https://i.imgur.com/nfIuHWQ.png

[smd555]

Also two kits from Hmelnytska oblast (I dont know exact districts):

1.


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

2.


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

The second is very similar to this one:

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

[Nurzat]

https://upload.wikimedia.org/wikipedia/commons/7/79/Ilja_Jefimowitsch_Repin_-_Reply_of_the_Zaporozhian_Cossacks_-_Yorck.jpg

[Nurzat]

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

[Ion Basescul]

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



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;">
<tbody>
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

</tbody>
</google-sheets-html-origin>
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;">
<colgroup><col style="width: 68px"><col width="39"><col width="66"><col width="73"><col width="63"><col width="55"><col width="78"><col width="70"><col width="54"><col width="74"><col width="60"><col width="74"><col width="80"></colgroup><tbody>
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

</tbody>
</google-sheets-html-origin>

[smd555]

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.

[Ion Basescul]

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.


Yep, that's what I've noticed in halfies. Their East Med is significantly nerfed due to Ukrainian admix.

[Gergő Marosvári]

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

[pajkosbalna]

Nice

https://imgur.com/a/mDD41ho

[noricum]

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_

[smd555]

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_

Is he pure Austrian?

[noricum]

Is he pure Austrian?

Yes, but bis Mum is of Carinthian Slovene origins.

[smd555]

Yes, but bis Mum is of Carinthian Slovene origins.

Wow, I didnt expect Baltic component over 40% in this region, even among Slovenes.

[noricum]

Wow, I didnt expect Baltic component over 40% in this region, even among Slovenes.

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.

[Ion Basescul]

Can someone share all the results posted so far, if that's saved somewhere?

From Kalyny, Zakarpatska oblast


<tbody>
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

</tbody>

[Leto]

A big account from Kiev. I'm censoring the names but if you are from Ukraine or Russia you can still guess them.

Email: dna(at)arbuz(dot)kiev(dot)ua

Kit Number: M**3524
Name: Irina S*nch*nko

Population
North_Atlantic 24.53 Pct
Baltic 45.59 Pct
West_Med 7.06 Pct
West_Asian 7.26 Pct
East_Med 10.12 Pct
Red_Sea -
South_Asian 0.96 Pct
East_Asian 0.39 Pct
Siberian 1.48 Pct
Amerindian 0.67 Pct
Oceanian 1.35 Pct
Northeast_African -
Sub-Saharan 0.59 Pct

Kit Number: M**3024
Name: Grigoriy P*ven

Population
North_Atlantic 29.18 Pct
Baltic 46.71 Pct
West_Med 8.05 Pct
West_Asian 5.44 Pct
East_Med 3.56 Pct
Red_Sea 1.43 Pct
South_Asian 2.18 Pct
East_Asian -
Siberian 2.41 Pct
Amerindian 0.35 Pct
Oceanian 0.62 Pct
Northeast_African -
Sub-Saharan 0.07 Pct

Kit Number: M**5939
Name: Antonina M*r*kusha

Population
North_Atlantic 23.53 Pct
Baltic 47.98 Pct
West_Med 9.28 Pct
West_Asian 6.71 Pct
East_Med 5.7 Pct
Red_Sea 2.1 Pct
South_Asian 0.55 Pct
East_Asian -
Siberian 1.59 Pct
Amerindian 1.71 Pct
Oceanian 0.86 Pct
Northeast_African -
Sub-Saharan -

Kit Number: M**0357
Name: Galina K*n*nenko

Population
North_Atlantic 25.56 Pct
Baltic 49.81 Pct
West_Med 7.95 Pct
West_Asian 8.37 Pct
East_Med 3.74 Pct
Red_Sea 1.25 Pct
South_Asian 0.06 Pct
East_Asian 0.85 Pct
Siberian 1.18 Pct
Amerindian -
Oceanian 0.17 Pct
Northeast_African -
Sub-Saharan 1.05 Pct

Kit Number: M**0603
Name: Nina S*nch*nko

Population
North_Atlantic 29.26 Pct
Baltic 42.15 Pct
West_Med 9.89 Pct
West_Asian 7.42 Pct
East_Med 7.21 Pct
Red_Sea -
South_Asian -
East_Asian 0.42 Pct
Siberian 0.58 Pct
Amerindian 1.12 Pct
Oceanian 1.46 Pct
Northeast_African 0.23 Pct
Sub-Saharan 0.25 Pct

Kit Number: M**0751
Name: Oleksandra K*l*miets

Population
North_Atlantic 26.3 Pct
Baltic 49.33 Pct
West_Med 8.38 Pct
West_Asian 5.09 Pct
East_Med 4.93 Pct
Red_Sea 1.09 Pct
South_Asian 1.08 Pct
East_Asian 0.27 Pct
Siberian 2.02 Pct
Amerindian 0.64 Pct
Oceanian 0.42 Pct
Northeast_African 0.4 Pct
Sub-Saharan 0.07 Pct

Kit Number: M**2442
Name: Nataliia Z*m*rina

Population
North_Atlantic 28.23 Pct
Baltic 48.17 Pct
West_Med 9.46 Pct
West_Asian 4.65 Pct
East_Med 2.11 Pct
Red_Sea 0.36 Pct
South_Asian 1.31 Pct
East_Asian 0.54 Pct
Siberian 2.69 Pct
Amerindian 0.96 Pct
Oceanian 1.31 Pct
Northeast_African -
Sub-Saharan 0.19 Pct

Kit Number: M**0056
Name: Volodymyr Z*m*rin

Population
North_Atlantic 25.54 Pct
Baltic 51.52 Pct
West_Med 9.6 Pct
West_Asian 4.86 Pct
East_Med 2.79 Pct
Red_Sea -
South_Asian 1.61 Pct
East_Asian 0.11 Pct
Siberian 1.89 Pct
Amerindian 0.97 Pct
Oceanian 1.11 Pct
Northeast_African -
Sub-Saharan -

Kit Number: M**3134
Name: Maia B*t*nko

Population
North_Atlantic 25.55 Pct
Baltic 47.29 Pct
West_Med 8.74 Pct
West_Asian 8.46 Pct
East_Med 4.01 Pct
Red_Sea -
South_Asian 0.67 Pct
East_Asian 0.48 Pct
Siberian 2.39 Pct
Amerindian 0.24 Pct
Oceanian 1.62 Pct
Northeast_African 0.53 Pct
Sub-Saharan -

Kit Number: T**5096
Name: *Aleksandr S*nch*nko

Population
North_Atlantic 27.81 Pct
Baltic 43.41 Pct
West_Med 9.8 Pct
West_Asian 6.7 Pct
East_Med 6.6 Pct
Red_Sea 0.89 Pct
South_Asian 0.74 Pct
East_Asian -
Siberian 1.26 Pct
Amerindian 1.46 Pct
Oceanian 0.71 Pct
Northeast_African 0.63 Pct
Sub-Saharan -

Kit Number: T**7715
Name: Ivan Mynovich B*gd*nec

Population
North_Atlantic 30.63 Pct
Baltic 47.97 Pct
West_Med 8.24 Pct
West_Asian 2.12 Pct
East_Med 8.15 Pct
Red_Sea -
South_Asian 0.32 Pct
East_Asian 0.83 Pct
Siberian 0.91 Pct
Amerindian 0.07 Pct
Oceanian 0.76 Pct
Northeast_African -
Sub-Saharan -

Kit Number: T**7645
Name: Nikolay Ivanovich S*m*nenko

Population
North_Atlantic 29.71 Pct
Baltic 40.32 Pct
West_Med 10.97 Pct
West_Asian 7.77 Pct
East_Med 7.64 Pct
Red_Sea 0.27 Pct
South_Asian -
East_Asian 0.97 Pct
Siberian 0.33 Pct
Amerindian 0.83 Pct
Oceanian 1.19 Pct
Northeast_African -
Sub-Saharan -

Kit Number: T**4197
Name: Vladimir Nikolayevich Z*m*rin

Population
North_Atlantic 25.73 Pct
Baltic 51.48 Pct
West_Med 9.66 Pct
West_Asian 4.68 Pct
East_Med 2.7 Pct
Red_Sea -
South_Asian 1.71 Pct
East_Asian 0.06 Pct
Siberian 1.92 Pct
Amerindian 0.95 Pct
Oceanian 1.12 Pct
Northeast_African -
Sub-Saharan -

Kit Number: T**6484
Name: Ivan Vasylovych P*tr*nko

Population
North_Atlantic 28.26 Pct
Baltic 43.55 Pct
West_Med 9.46 Pct
West_Asian 6.39 Pct
East_Med 7.13 Pct
Red_Sea -
South_Asian 0.91 Pct
East_Asian -
Siberian 1.94 Pct
Amerindian 0.54 Pct
Oceanian 0.82 Pct
Northeast_African 1 Pct
Sub-Saharan -

Kit Number: T**8933
Name: Oleksandr Oleksandrovych B*gd*nec

Population
North_Atlantic 25.67 Pct
Baltic 45.37 Pct
West_Med 8.64 Pct
West_Asian 5.73 Pct
East_Med 8.19 Pct
Red_Sea 1.58 Pct
South_Asian 1.25 Pct
East_Asian -
Siberian 2.23 Pct
Amerindian 0.51 Pct
Oceanian 0.31 Pct
Northeast_African 0.53 Pct
Sub-Saharan -

Kit Number: T**2588
Name: Igor K*rp*v

Population
North_Atlantic 31.19 Pct
Baltic 44.66 Pct
West_Med 10.1 Pct
West_Asian 4.86 Pct
East_Med 1.76 Pct
Red_Sea -
South_Asian 2.65 Pct
East_Asian 0.19 Pct
Siberian 2.73 Pct
Amerindian 1.28 Pct
Oceanian -
Northeast_African 0.53 Pct
Sub-Saharan -

Kit Number: T**0802
Name: Alexey Shk*lny

Population
North_Atlantic 34.09 Pct
Baltic 43.37 Pct
West_Med 8.65 Pct
West_Asian 3.82 Pct
East_Med 5.03 Pct
Red_Sea -
South_Asian 0.59 Pct
East_Asian 1.18 Pct
Siberian 1.8 Pct
Amerindian 0.71 Pct
Oceanian 0.76 Pct
Northeast_African -
Sub-Saharan -

Kit Number: YN**39238
Name: Vladimir Tk*ch*nko

Population
North_Atlantic 24.29 Pct
Baltic 49.6 Pct
West_Med 8.97 Pct
West_Asian 6.73 Pct
East_Med 5.23 Pct
Red_Sea -
South_Asian 1.54 Pct
East_Asian -
Siberian 1.66 Pct
Amerindian 1.01 Pct
Oceanian 0.97 Pct
Northeast_African -
Sub-Saharan -

[smd555]

A big account from Kiev. I'm censoring the names but if you are from Ukraine or Russia you can still guess them.

Email: dna(at)arbuz(dot)kiev(dot)ua

Kit Number: M**3524
Name: Irina S*nch*nko

Population
North_Atlantic 24.53 Pct
Baltic 45.59 Pct
West_Med 7.06 Pct
West_Asian 7.26 Pct
East_Med 10.12 Pct
Red_Sea -
South_Asian 0.96 Pct
East_Asian 0.39 Pct
Siberian 1.48 Pct
Amerindian 0.67 Pct
Oceanian 1.35 Pct
Northeast_African -
Sub-Saharan 0.59 Pct

Kit Number: M**3024
Name: Grigoriy P*ven

Population
North_Atlantic 29.18 Pct
Baltic 46.71 Pct
West_Med 8.05 Pct
West_Asian 5.44 Pct
East_Med 3.56 Pct
Red_Sea 1.43 Pct
South_Asian 2.18 Pct
East_Asian -
Siberian 2.41 Pct
Amerindian 0.35 Pct
Oceanian 0.62 Pct
Northeast_African -
Sub-Saharan 0.07 Pct

Kit Number: M**5939
Name: Antonina M*r*kusha

Population
North_Atlantic 23.53 Pct
Baltic 47.98 Pct
West_Med 9.28 Pct
West_Asian 6.71 Pct
East_Med 5.7 Pct
Red_Sea 2.1 Pct
South_Asian 0.55 Pct
East_Asian -
Siberian 1.59 Pct
Amerindian 1.71 Pct
Oceanian 0.86 Pct
Northeast_African -
Sub-Saharan -

Kit Number: M**0357
Name: Galina K*n*nenko

Population
North_Atlantic 25.56 Pct
Baltic 49.81 Pct
West_Med 7.95 Pct
West_Asian 8.37 Pct
East_Med 3.74 Pct
Red_Sea 1.25 Pct
South_Asian 0.06 Pct
East_Asian 0.85 Pct
Siberian 1.18 Pct
Amerindian -
Oceanian 0.17 Pct
Northeast_African -
Sub-Saharan 1.05 Pct

Kit Number: M**0603
Name: Nina S*nch*nko

Population
North_Atlantic 29.26 Pct
Baltic 42.15 Pct
West_Med 9.89 Pct
West_Asian 7.42 Pct
East_Med 7.21 Pct
Red_Sea -
South_Asian -
East_Asian 0.42 Pct
Siberian 0.58 Pct
Amerindian 1.12 Pct
Oceanian 1.46 Pct
Northeast_African 0.23 Pct
Sub-Saharan 0.25 Pct

Kit Number: M**0751
Name: Oleksandra K*l*miets

Population
North_Atlantic 26.3 Pct
Baltic 49.33 Pct
West_Med 8.38 Pct
West_Asian 5.09 Pct
East_Med 4.93 Pct
Red_Sea 1.09 Pct
South_Asian 1.08 Pct
East_Asian 0.27 Pct
Siberian 2.02 Pct
Amerindian 0.64 Pct
Oceanian 0.42 Pct
Northeast_African 0.4 Pct
Sub-Saharan 0.07 Pct

Kit Number: M**2442
Name: Nataliia Z*m*rina

Population
North_Atlantic 28.23 Pct
Baltic 48.17 Pct
West_Med 9.46 Pct
West_Asian 4.65 Pct
East_Med 2.11 Pct
Red_Sea 0.36 Pct
South_Asian 1.31 Pct
East_Asian 0.54 Pct
Siberian 2.69 Pct
Amerindian 0.96 Pct
Oceanian 1.31 Pct
Northeast_African -
Sub-Saharan 0.19 Pct

Kit Number: M**0056
Name: Volodymyr Z*m*rin

Population
North_Atlantic 25.54 Pct
Baltic 51.52 Pct
West_Med 9.6 Pct
West_Asian 4.86 Pct
East_Med 2.79 Pct
Red_Sea -
South_Asian 1.61 Pct
East_Asian 0.11 Pct
Siberian 1.89 Pct
Amerindian 0.97 Pct
Oceanian 1.11 Pct
Northeast_African -
Sub-Saharan -

Kit Number: M**3134
Name: Maia B*t*nko

Population
North_Atlantic 25.55 Pct
Baltic 47.29 Pct
West_Med 8.74 Pct
West_Asian 8.46 Pct
East_Med 4.01 Pct
Red_Sea -
South_Asian 0.67 Pct
East_Asian 0.48 Pct
Siberian 2.39 Pct
Amerindian 0.24 Pct
Oceanian 1.62 Pct
Northeast_African 0.53 Pct
Sub-Saharan -

Kit Number: T**5096
Name: *Aleksandr S*nch*nko

Population
North_Atlantic 27.81 Pct
Baltic 43.41 Pct
West_Med 9.8 Pct
West_Asian 6.7 Pct
East_Med 6.6 Pct
Red_Sea 0.89 Pct
South_Asian 0.74 Pct
East_Asian -
Siberian 1.26 Pct
Amerindian 1.46 Pct
Oceanian 0.71 Pct
Northeast_African 0.63 Pct
Sub-Saharan -

Kit Number: T**7715
Name: Ivan Mynovich B*gd*nec

Population
North_Atlantic 30.63 Pct
Baltic 47.97 Pct
West_Med 8.24 Pct
West_Asian 2.12 Pct
East_Med 8.15 Pct
Red_Sea -
South_Asian 0.32 Pct
East_Asian 0.83 Pct
Siberian 0.91 Pct
Amerindian 0.07 Pct
Oceanian 0.76 Pct
Northeast_African -
Sub-Saharan -

Kit Number: T**7645
Name: Nikolay Ivanovich S*m*nenko

Population
North_Atlantic 29.71 Pct
Baltic 40.32 Pct
West_Med 10.97 Pct
West_Asian 7.77 Pct
East_Med 7.64 Pct
Red_Sea 0.27 Pct
South_Asian -
East_Asian 0.97 Pct
Siberian 0.33 Pct
Amerindian 0.83 Pct
Oceanian 1.19 Pct
Northeast_African -
Sub-Saharan -

Kit Number: T**4197
Name: Vladimir Nikolayevich Z*m*rin

Population
North_Atlantic 25.73 Pct
Baltic 51.48 Pct
West_Med 9.66 Pct
West_Asian 4.68 Pct
East_Med 2.7 Pct
Red_Sea -
South_Asian 1.71 Pct
East_Asian 0.06 Pct
Siberian 1.92 Pct
Amerindian 0.95 Pct
Oceanian 1.12 Pct
Northeast_African -
Sub-Saharan -

Kit Number: T**6484
Name: Ivan Vasylovych P*tr*nko

Population
North_Atlantic 28.26 Pct
Baltic 43.55 Pct
West_Med 9.46 Pct
West_Asian 6.39 Pct
East_Med 7.13 Pct
Red_Sea -
South_Asian 0.91 Pct
East_Asian -
Siberian 1.94 Pct
Amerindian 0.54 Pct
Oceanian 0.82 Pct
Northeast_African 1 Pct
Sub-Saharan -

Kit Number: T**8933
Name: Oleksandr Oleksandrovych B*gd*nec

Population
North_Atlantic 25.67 Pct
Baltic 45.37 Pct
West_Med 8.64 Pct
West_Asian 5.73 Pct
East_Med 8.19 Pct
Red_Sea 1.58 Pct
South_Asian 1.25 Pct
East_Asian -
Siberian 2.23 Pct
Amerindian 0.51 Pct
Oceanian 0.31 Pct
Northeast_African 0.53 Pct
Sub-Saharan -

Kit Number: T**2588
Name: Igor K*rp*v

Population
North_Atlantic 31.19 Pct
Baltic 44.66 Pct
West_Med 10.1 Pct
West_Asian 4.86 Pct
East_Med 1.76 Pct
Red_Sea -
South_Asian 2.65 Pct
East_Asian 0.19 Pct
Siberian 2.73 Pct
Amerindian 1.28 Pct
Oceanian -
Northeast_African 0.53 Pct
Sub-Saharan -

Kit Number: T**0802
Name: Alexey Shk*lny

Population
North_Atlantic 34.09 Pct
Baltic 43.37 Pct
West_Med 8.65 Pct
West_Asian 3.82 Pct
East_Med 5.03 Pct
Red_Sea -
South_Asian 0.59 Pct
East_Asian 1.18 Pct
Siberian 1.8 Pct
Amerindian 0.71 Pct
Oceanian 0.76 Pct
Northeast_African -
Sub-Saharan -

Kit Number: YN**39238
Name: Vladimir Tk*ch*nko

Population
North_Atlantic 24.29 Pct
Baltic 49.6 Pct
West_Med 8.97 Pct
West_Asian 6.73 Pct
East_Med 5.23 Pct
Red_Sea -
South_Asian 1.54 Pct
East_Asian -
Siberian 1.66 Pct
Amerindian 1.01 Pct
Oceanian 0.97 Pct
Northeast_African -
Sub-Saharan -



Did you connect them by email? I tried several times - they didnt answer. I was interested if all of them were Ukrainians and what regions were their ancestors from, expecially B*gdanets and Shk*lny.

[smd555]

Can someone share all the results posted so far, if that's saved somewhere?

From Kalyny, Zakarpatska oblast


<tbody>
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

</tbody>

It will took for me some time to systematize.

[Ion Basescul]

A big account from Kiev. I'm censoring the names but if you are from Ukraine or Russia you can still guess them.

Email: dna(at)arbuz(dot)kiev(dot)ua

Kit Number: M**3524
Name: Irina S*nch*nko

Population
North_Atlantic 24.53 Pct
Baltic 45.59 Pct
West_Med 7.06 Pct
West_Asian 7.26 Pct
East_Med 10.12 Pct
Red_Sea -
South_Asian 0.96 Pct
East_Asian 0.39 Pct
Siberian 1.48 Pct
Amerindian 0.67 Pct
Oceanian 1.35 Pct
Northeast_African -
Sub-Saharan 0.59 Pct

Kit Number: M**3024
Name: Grigoriy P*ven

Population
North_Atlantic 29.18 Pct
Baltic 46.71 Pct
West_Med 8.05 Pct
West_Asian 5.44 Pct
East_Med 3.56 Pct
Red_Sea 1.43 Pct
South_Asian 2.18 Pct
East_Asian -
Siberian 2.41 Pct
Amerindian 0.35 Pct
Oceanian 0.62 Pct
Northeast_African -
Sub-Saharan 0.07 Pct

Kit Number: M**5939
Name: Antonina M*r*kusha

Population
North_Atlantic 23.53 Pct
Baltic 47.98 Pct
West_Med 9.28 Pct
West_Asian 6.71 Pct
East_Med 5.7 Pct
Red_Sea 2.1 Pct
South_Asian 0.55 Pct
East_Asian -
Siberian 1.59 Pct
Amerindian 1.71 Pct
Oceanian 0.86 Pct
Northeast_African -
Sub-Saharan -

Kit Number: M**0357
Name: Galina K*n*nenko

Population
North_Atlantic 25.56 Pct
Baltic 49.81 Pct
West_Med 7.95 Pct
West_Asian 8.37 Pct
East_Med 3.74 Pct
Red_Sea 1.25 Pct
South_Asian 0.06 Pct
East_Asian 0.85 Pct
Siberian 1.18 Pct
Amerindian -
Oceanian 0.17 Pct
Northeast_African -
Sub-Saharan 1.05 Pct

Kit Number: M**0603
Name: Nina S*nch*nko

Population
North_Atlantic 29.26 Pct
Baltic 42.15 Pct
West_Med 9.89 Pct
West_Asian 7.42 Pct
East_Med 7.21 Pct
Red_Sea -
South_Asian -
East_Asian 0.42 Pct
Siberian 0.58 Pct
Amerindian 1.12 Pct
Oceanian 1.46 Pct
Northeast_African 0.23 Pct
Sub-Saharan 0.25 Pct

Kit Number: M**0751
Name: Oleksandra K*l*miets

Population
North_Atlantic 26.3 Pct
Baltic 49.33 Pct
West_Med 8.38 Pct
West_Asian 5.09 Pct
East_Med 4.93 Pct
Red_Sea 1.09 Pct
South_Asian 1.08 Pct
East_Asian 0.27 Pct
Siberian 2.02 Pct
Amerindian 0.64 Pct
Oceanian 0.42 Pct
Northeast_African 0.4 Pct
Sub-Saharan 0.07 Pct

Kit Number: M**2442
Name: Nataliia Z*m*rina

Population
North_Atlantic 28.23 Pct
Baltic 48.17 Pct
West_Med 9.46 Pct
West_Asian 4.65 Pct
East_Med 2.11 Pct
Red_Sea 0.36 Pct
South_Asian 1.31 Pct
East_Asian 0.54 Pct
Siberian 2.69 Pct
Amerindian 0.96 Pct
Oceanian 1.31 Pct
Northeast_African -
Sub-Saharan 0.19 Pct

Kit Number: M**0056
Name: Volodymyr Z*m*rin

Population
North_Atlantic 25.54 Pct
Baltic 51.52 Pct
West_Med 9.6 Pct
West_Asian 4.86 Pct
East_Med 2.79 Pct
Red_Sea -
South_Asian 1.61 Pct
East_Asian 0.11 Pct
Siberian 1.89 Pct
Amerindian 0.97 Pct
Oceanian 1.11 Pct
Northeast_African -
Sub-Saharan -

Kit Number: M**3134
Name: Maia B*t*nko

Population
North_Atlantic 25.55 Pct
Baltic 47.29 Pct
West_Med 8.74 Pct
West_Asian 8.46 Pct
East_Med 4.01 Pct
Red_Sea -
South_Asian 0.67 Pct
East_Asian 0.48 Pct
Siberian 2.39 Pct
Amerindian 0.24 Pct
Oceanian 1.62 Pct
Northeast_African 0.53 Pct
Sub-Saharan -

Kit Number: T**5096
Name: *Aleksandr S*nch*nko

Population
North_Atlantic 27.81 Pct
Baltic 43.41 Pct
West_Med 9.8 Pct
West_Asian 6.7 Pct
East_Med 6.6 Pct
Red_Sea 0.89 Pct
South_Asian 0.74 Pct
East_Asian -
Siberian 1.26 Pct
Amerindian 1.46 Pct
Oceanian 0.71 Pct
Northeast_African 0.63 Pct
Sub-Saharan -

Kit Number: T**7715
Name: Ivan Mynovich B*gd*nec

Population
North_Atlantic 30.63 Pct
Baltic 47.97 Pct
West_Med 8.24 Pct
West_Asian 2.12 Pct
East_Med 8.15 Pct
Red_Sea -
South_Asian 0.32 Pct
East_Asian 0.83 Pct
Siberian 0.91 Pct
Amerindian 0.07 Pct
Oceanian 0.76 Pct
Northeast_African -
Sub-Saharan -

Kit Number: T**7645
Name: Nikolay Ivanovich S*m*nenko

Population
North_Atlantic 29.71 Pct
Baltic 40.32 Pct
West_Med 10.97 Pct
West_Asian 7.77 Pct
East_Med 7.64 Pct
Red_Sea 0.27 Pct
South_Asian -
East_Asian 0.97 Pct
Siberian 0.33 Pct
Amerindian 0.83 Pct
Oceanian 1.19 Pct
Northeast_African -
Sub-Saharan -

Kit Number: T**4197
Name: Vladimir Nikolayevich Z*m*rin

Population
North_Atlantic 25.73 Pct
Baltic 51.48 Pct
West_Med 9.66 Pct
West_Asian 4.68 Pct
East_Med 2.7 Pct
Red_Sea -
South_Asian 1.71 Pct
East_Asian 0.06 Pct
Siberian 1.92 Pct
Amerindian 0.95 Pct
Oceanian 1.12 Pct
Northeast_African -
Sub-Saharan -

Kit Number: T**6484
Name: Ivan Vasylovych P*tr*nko

Population
North_Atlantic 28.26 Pct
Baltic 43.55 Pct
West_Med 9.46 Pct
West_Asian 6.39 Pct
East_Med 7.13 Pct
Red_Sea -
South_Asian 0.91 Pct
East_Asian -
Siberian 1.94 Pct
Amerindian 0.54 Pct
Oceanian 0.82 Pct
Northeast_African 1 Pct
Sub-Saharan -

Kit Number: T**8933
Name: Oleksandr Oleksandrovych B*gd*nec

Population
North_Atlantic 25.67 Pct
Baltic 45.37 Pct
West_Med 8.64 Pct
West_Asian 5.73 Pct
East_Med 8.19 Pct
Red_Sea 1.58 Pct
South_Asian 1.25 Pct
East_Asian -
Siberian 2.23 Pct
Amerindian 0.51 Pct
Oceanian 0.31 Pct
Northeast_African 0.53 Pct
Sub-Saharan -

Kit Number: T**2588
Name: Igor K*rp*v

Population
North_Atlantic 31.19 Pct
Baltic 44.66 Pct
West_Med 10.1 Pct
West_Asian 4.86 Pct
East_Med 1.76 Pct
Red_Sea -
South_Asian 2.65 Pct
East_Asian 0.19 Pct
Siberian 2.73 Pct
Amerindian 1.28 Pct
Oceanian -
Northeast_African 0.53 Pct
Sub-Saharan -

Kit Number: T**0802
Name: Alexey Shk*lny

Population
North_Atlantic 34.09 Pct
Baltic 43.37 Pct
West_Med 8.65 Pct
West_Asian 3.82 Pct
East_Med 5.03 Pct
Red_Sea -
South_Asian 0.59 Pct
East_Asian 1.18 Pct
Siberian 1.8 Pct
Amerindian 0.71 Pct
Oceanian 0.76 Pct
Northeast_African -
Sub-Saharan -

Kit Number: YN**39238
Name: Vladimir Tk*ch*nko

Population
North_Atlantic 24.29 Pct
Baltic 49.6 Pct
West_Med 8.97 Pct
West_Asian 6.73 Pct
East_Med 5.23 Pct
Red_Sea -
South_Asian 1.54 Pct
East_Asian -
Siberian 1.66 Pct
Amerindian 1.01 Pct
Oceanian 0.97 Pct
Northeast_African -
Sub-Saharan -


Some look like ethnic Russians from the surname.

[vbnetkhio]

Can someone share all the results posted so far, if that's saved somewhere?


here:


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_UCH945,24.60,43.16,10.52,8.12,6.5 7,1.44,0.86,0.53,2.47,0.05,1.39,0.29,0.00
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, 22.97,51.49,8.77,5.69,6.31,0.61,0.87,0.53,0.67,0.8 3,0.83,0.01,0.43
Chernihivska:Chernihiv_district_Kovpyta_EG600054,2 7.50,46.56,6.86,7.98,6.09,1.32,1.15,1.01,1.40,0.13 ,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_EG600055,26.4 5,48.16,9.39,5.56,7.16,0.12,0.64,0.33,0.98,0.14,0. 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_EG6000 19,24.68,34.39,6.08,13.08,7.88,0.79,0.63,2.72,8.90 ,0.50,0.09,0.03,0.23
Dnipropetrovska:Dnipropetrovsk_district_Kirovske_E G600074,28.30,43.80,10.78,5.41,4.90,0.13,2.13,0.00 ,1.74,1.10,1.31,0.03,0.37
Dnipropetrovska:Dnipropetrovsk_district_Pidhorodny e_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_,26.40,46.57,10.05,6.80,6.93,0.0 0,0.00,0.00,1.57,0.90,0.47,0.00,0.31
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,20.68,41.66,8.38,11.6 2,12.97,0.57,0.46,1.36,0.48,1.17,0.63,0,0
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_7,24.63,40.69,13.94,6.02,8.4 2,2.41,2.26,0.65,0.37,0.42,0.18,0.00,0.00
Ivano-Frankivska:UKR_IF_ION_8,23.65,42.35,13.61,5.30,8.9 9,1.24,2.61,0.38,1.37,0.10,0.00,0.40,0.00
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_EG600031,29.03,42.58,9.40,4.3 8,10.12,0.05,0.97,0.03,0.68,0.84,1.09,0.78,0.06
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:Kiev1,25.90,43.89,11.21,6.22,9.75,1.23,0.0 0,0.00,0.00,0.45,0.76,0.00,0.60
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:Kiev11,30.66,39.21,9.84,6.72,6.55,0.03,0.8 9,0.00,3.59,1.13,0.66,0.00,0.72
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:Kiev19,22.98,47.96,8.16,7.58,8.57,0.13,1.9 7,0.02,2.38,0.00,0.24,0.00,0.00
Kyivska:Kiev2,24.96,43.94,10.33,3.70,9.55,4.60,0.0 0,1.88,0.38,0.66,0.00,0.00,0.00
Kyivska:Kiev20,25.89,48.78,8.33,6.13,4.61,1.78,2.0 1,0.00,0.37,1.65,0.00,0.00,0.44
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:Kiev5,26.12,45.57,11.25,6.45,5.25,2.80,0.0 0,0.00,0.59,0.00,0.20,0.63,1.14
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_,2 7.04,38.74,10.47,10.20,8.09,1.93,1.51,0.03,0.58,1. 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_EG600014,32.04,37.07,10.92,8.22,7.6 0,1.21,0.70,0.27,1.81,0.17,0.00,0.00,0.00
Lvivska:Sambir_EG600033,28.25,39.95,13.06,4.68,9.6 9,1.91,1.06,0.24,1.16,0.00,0.00,0.00,0.00
Lvivska:Skole_district_Nyzhne_Synevydne_EG60006_,2 9.16,42.38,12.16,4.38,7.75,0.15,1.41,0.62,1.62,0.1 4,0.22,0.00,0.00
Lvivska:Turka_district_Kryvka_EG600018,28.07,36.02 ,13.50,9.96,8.10,1.06,0.16,0.98,1.16,0.00,0.63,0.0 0,0.36
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,21.99,42.55,11.6 1,10.13,7.6,0,0.05,0,3.93,1.71,0.34,0.1,0
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_EG600039,28.98,45.98,7.37,7.14,5.1 8,0.04,0.53,0.02,1.74,0.82,0.76,0.00,1.44
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,31.96,47.65,9.32,4.1 2,3.05,0.46,0,0,1.75,0.19,1.03,0.46,0
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_Tseptsevych i_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_EG600083,27.8 9,43.51,11.20,2.52,10.15,0.01,1.41,0.54,2.07,0.51, 0.00,0.01,0.18
Sumska:Krasnopillya_district_Ugroidy_EG600081,29.1 0,45.26,7.60,4.20,6.13,2.22,2.76,0.00,1.06,0.18,0. 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_EG600080,25.87,46.42,10.39,7.51,5.5 1,0.91,0.71,1.19,0.37,1.12,0.00,0.00,0.01
Sumska:R1a1b_,28.32,45.93,11.70,5.96,3.74,0.34,0.0 0,0.33,0.92,1.20,1.37,0.00,0.17
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_EG600078,27.17,44.5 6,11.47,2.10,7.14,1.54,2.83,2.11,0.35,0.00,0.72,0. 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,27.9,41.75,14.39,8.24,3.8 1,0,0.58,0,0.37,1.69,0.88,0,0.38
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,31.67,45.38,9.45,3.17,6.3 1,0.49,0,1.08,1.25,0,0.55,0.04,0.6
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_EG60003 0,27.24,40.09,14.58,6.46,8.00,0.06,1.46,0.34,0.17, 1.21,0.38,0.00,0.00
Volynska:Kovel_EG600021,24.50,49.74,12.13,7.65,2.0 0,0.76,0.00,1.54,0.73,0.09,0.70,0.00,0.15
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_EG6000 1_,30.39,34.01,12.18,7.81,10.85,1.02,0.00,1.36,1.2 1,0.22,0.00,0.81,0.16
Zakarpatska:Svalyava_EG60003,24.84,40.07,12.20,9.2 0,9.27,0.07,0.92,0.40,1.14,1.22,0.67,0.00,0.00
Zakarpatska:Tyachiv_district_Krychovo_EG60004,27.2 3,33.08,13.25,5.82,15.32,1.31,0.46,1.06,1.51,0.13, 0.84,0.00,0.00
Zakarpatska:Tyachiv_district_Ternovo_EG600010,25.7 3,35.89,13.08,7.17,13.50,0.10,2.55,0.52,0.10,1.19, 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_EG600098,28.36,46.67,6.24,6.2 5,8.39,0.04,1.21,0.29,0.56,0.63,0.84,0.36,0.17
Zakarpatska:Velykyj_Bereznyj_district_Malyj_Berezn yj_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 ,14.36,5.35,8.24,2.66,1.76,1.09,0.79,0.50,0.18,0.0 8,0.02
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_EG60009,2 6.94,37.80,14.66,5.75,9.69,1.94,0.78,0.44,0.93,1.0 1,0.00,0.00,0.06
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_EG600013,27.57,42.74,10.94,6.0 2,9.61,0.04,1.42,0.01,0.59,0.14,0.71,0.00,0.21
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,19.89,33.73,9.27,17.00,14.19,1.1 4,2.42,0.00,0.00,1.31,0.00,1.07,0.00
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_EG600045,2 7.14,44.55,9.84,9.17,5.68,0.01,0.00,0.00,0.86,0.79 ,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_,25.33,46.03,11.53,6.25,8.62,0.0 0,0.00,0.00,0.73,0.00,0.92,0.21,0.38
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,24.56,51.21,9.9 1,5.02,6,0,0.18,0,2.4,0.72,0,0,0
Zhytomyrska:UKR01913_Zhitomirskaya,28.01,41.86,9.1 5,2.99,12.03,0,0,1.52,2.4,0,0.95,0.03,1.06
Zhytomyrska:UKR02021_Zhitomirskaya,26.79,45.04,9.8 7,4.66,7.02,1.29,2.44,0.05,0.44,1.4,1,0,0
Zhytomyrska:Zhytomyr_district_Veresy_EG600049,30.1 3,46.36,9.70,3.06,8.04,0.22,1.01,0.00,0.90,0.43,0. 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


it's all the academics, and from those posted in thread smd555 filtered out those which seem confirmed and ok for averages.

[Ion Basescul]

From Lviv


<tbody>
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
-

</tbody>

[Lucas]

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)

[Ion Basescul]

^^^ov surnames are not Ukrainian

[Ion Basescul]

All 8 great-grandparents from Kobaky, Ivano-Frankivsk


<tbody>
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
-

</tbody>

[Ion Basescul]

Cherkasska oblast


<tbody>
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
-

</tbody>

[Sandis]

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

[vbnetkhio]

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://i.ibb.co/V3stLMK/UA5.jpg

could you post a larger version?

[Sandis]

could you post a larger version?

Something went wrong, but now it's full linked. Click on link: https://ibb.co/M9msgPX

[vbnetkhio]

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/showthread.php?339371-Ukrainian-academic-regional-k13-results-more-than-100&p=7179863&viewfull=1#post7179863

and just paste it here:
https://vahaduo.github.io/custompca/

and compare it to this one.

[Sandis]

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/showthread.php?339371-Ukrainian-academic-regional-k13-results-more-than-100&p=7179863&viewfull=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.

[Komintasavalta]

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


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,hu es),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=V 4),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")

[Sandis]

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


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,hu es),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=V 4),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

[Ion Basescul]

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.php?23947-Ukrainian-results-from-a-village-in-Vinnytsia-Gedmatch-in-comments

[Ion Basescul]

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 -

[Vega7]

This is my main takeaway from this data:

https://i.imgur.com/xPKU4P7.png
from this PCA I removed the regions which seemed to be outlying because of a low sample number.

Northern(Polesye) and Eastern Ukraine are very homogenous, and probably identical to proto-Slavs.
Southwestern Ukraine is pulled towards a mix of Hungarians and Romanians best represented by the Hungarian-Transylvania average.

It seems this admixture isn't just limited to the border areas, it spreads much deeper into the country than I thought.

Data is missing from the area between Moldova and Dnipropetrovsk.

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.

[Vega7]

New Ukrainian average comes closest to SW Russians, and I think it's excellent modern proxy for early Slavic input.
It clusters somewhere between Lithuanians and North Moldovans, so between Balts and northern Balkanites, I think that's what early Slavs were like.

Belarausians, Russians Smolensk and Masurians IMO are Baltic admixed, while Polish average has slight east Germanic input (still very Slavic nevertheless)

South Slavs strongly prefer Ukrainians as their Slavic proxy in my modeling, and Vbn did excellent thing to opt out for average of main Ukrainian genetic cluster instead of all-country average which wouldn't be so pure.

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.

[Vega7]

your theory doesn't follow geography, as you claim: Ivano-Frankivsk (38%) scores more Baltic than Chernivtsi (35%) or Ternopil (37%) and similar to Lviv (39%), anyway close enough to Ukrainian average (42%).

long before Vlachs the Scythians northwest of the Black Sea already had WestMed+EastMed+RedSea 28% on average, with individual scores from 14% to over 50%. so for sure it wasn't Vlachs to introduce Mediterranean genes to Ukrainians, those genes became part of the local genepool long before Slavic ethnogenesis happened

My own ancestry is 5/8 Ukrainian and 3/8 Romanian from Chernivtsi with my sister scoring 38% Baltic. They came to Canada around 1900 before any of the more recent population movements.

Here are her results, which I also posted in Ion's thread for Moldova/Romania: 24.23,37.67,14.3,6.77,10.93,2.01,0.58,0,2.27,0.48, 0,0,0.74

Ivano-Frankivsk did become part of Moldavia for a while at the end of the Middle Ages, but I'm not sure how significantly that could have affected its genetics.


In 1388, Władysław II Jagiełło, needing financial support for his battles against the Teutonic Knights, placed Pokuttia under the administration of Petru II of Moldavia, a Moldavian voivode, for a loan of 3,000 coins of gold.

In 1485, Moldavian prince Stephen the Great, having lost his country's access to the Black Sea the previous year to the Ottomans, was in serious need of alliances, and swore allegiance to Casimir IV Jagiellon, King of Poland, in exchange of Pokuttia, in what is known as the Colomeea oath.

https://en.wikipedia.org/wiki/Pokuttia

So basically for 100 years.


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.

From old pictures of my Ukrainian and Romanian relatives from that region, there didn't seem to be any significant phenotypical differences between the two groups. Also, my sister, who is 3/8 Romanian, did not score any lower in 'northern' admixture than my 1/4 Romanian mother. Although it's only a 1/8 difference between them. My Romanian relatives were native Moldavians, not descendent from the more recent Transylvanian migrants who were quite numerous especially in southern Bukovina.

Having said that, it is likely that many Ukrainians who moved to Chernivtsi from Galicia in the 1700s mixed with Romanians there and later (in the 1900s) moved north to neighbouring regions like Ivano-Frankivsk and Ternopil.

I guess the question is how similar the Ukrainian populations south of the Dniestr (and NE of the Carpathians) were to Northern Moldavians. Whether there is historic continuity between the two groups, as per your hypothesis, or whether they were initially fundamentally different and whether more recent mixing has made them similar. I do remember reading that local slavic populations in Moldavia were Romanianized when the Moldavian state was initially founded, which is something you alluded to.

[Ajeje Brazorf]

Averages


Cherkaska_(N=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
Chernihivska_(N=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
Chernivetska_(N=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
Chernivetska_o_(N=1),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_(N=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
Donetska_(N=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
Harkivska_(N=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
Ivano-Frankivska_(N=15),26.64,38.13,13.87,5.78,10.41,1.2 9,1.13,0.26,1.38,0.58,0.20,0.17,0.16
Khmelnytska_(N=2),30.63,36.55,14.15,8.05,5.26,1.20 ,1.26,0.82,1.19,0.38,0.09,0.36,0.10
Kropyvnytska_(N=2),27.51,42.28,11.30,6.27,6.89,0.0 7,3.65,0.00,0.55,0.63,0.46,0.10,0.32
Krym_(N=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
Kyivska_(N=28),26.16,45.49,10.43,6.01,6.54,1.14,0. 87,0.41,1.23,0.70,0.50,0.15,0.36
Kyivska_o1_(N=1),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
Kyivska_o_(N=1),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
Luhansk_(N=1),28.40,42.66,13.51,4.12,8.17,0.00,0.0 0,0.00,1.21,1.92,0.00,0.00,0.00
Luhansk_o_(N=1),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_(N=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
Mykolaivska_(N=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
Odeska_(N=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
Poltavska_(N=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
Rivnenska_(N=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
Sumska_(N=17),27.69,45.68,10.30,5.28,5.87,0.92,0.8 8,0.51,1.11,0.79,0.48,0.17,0.31
Ternopilska_(N=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
Volynska_(N=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
Zakarpatska_(N=24),26.73,38.29,12.82,7.66,9.27,1.1 3,1.13,0.41,1.38,0.66,0.27,0.14,0.12
Zaporizka_(N=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
Zaporizka_o_(N=1),19.89,33.73,9.27,17.00,14.19,1.1 4,2.42,0.00,0.00,1.31,0.00,1.07,0.00
Zhytomyrska_(N=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
Zhytomyrska_o_(N=1),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

[Dušan]

Averages


Cherkaska_(N=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
Chernihivska_(N=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
Chernivetska_(N=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
Chernivetska_o_(N=1),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_(N=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
Donetska_(N=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
Harkivska_(N=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
Ivano-Frankivska_(N=15),26.64,38.13,13.87,5.78,10.41,1.2 9,1.13,0.26,1.38,0.58,0.20,0.17,0.16
Khmelnytska_(N=2),30.63,36.55,14.15,8.05,5.26,1.20 ,1.26,0.82,1.19,0.38,0.09,0.36,0.10
Kropyvnytska_(N=2),27.51,42.28,11.30,6.27,6.89,0.0 7,3.65,0.00,0.55,0.63,0.46,0.10,0.32
Krym_(N=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
Kyivska_(N=28),26.16,45.49,10.43,6.01,6.54,1.14,0. 87,0.41,1.23,0.70,0.50,0.15,0.36
Kyivska_o1_(N=1),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
Kyivska_o_(N=1),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
Luhansk_(N=1),28.40,42.66,13.51,4.12,8.17,0.00,0.0 0,0.00,1.21,1.92,0.00,0.00,0.00
Luhansk_o_(N=1),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_(N=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
Mykolaivska_(N=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
Odeska_(N=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
Poltavska_(N=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
Rivnenska_(N=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
Sumska_(N=17),27.69,45.68,10.30,5.28,5.87,0.92,0.8 8,0.51,1.11,0.79,0.48,0.17,0.31
Ternopilska_(N=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
Volynska_(N=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
Zakarpatska_(N=24),26.73,38.29,12.82,7.66,9.27,1.1 3,1.13,0.41,1.38,0.66,0.27,0.14,0.12
Zaporizka_(N=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
Zaporizka_o_(N=1),19.89,33.73,9.27,17.00,14.19,1.1 4,2.42,0.00,0.00,1.31,0.00,1.07,0.00
Zhytomyrska_(N=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
Zhytomyrska_o_(N=1),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


I got them in various mixed modes, added to Eurogenes K13 updated Bigger Regions:


Target: Dušan
Distance: 1.7267% / 1.72667627 | ADC: 0.25x RC
60.7 Chernivetska_(N=2)
25.5 Mykolaivska_(N=1)
13.8 Sardinian


Target: Dušan
Distance: 2.6406% / 2.64063636 | ADC: 0.5x RC
89.7 Chernivetska_(N=2)
10.3 Sardinian


Target: Dušan
Distance: 2.5421% / 2.54210001 | R2P
50.4 Torbesh
49.6 Volynska_(N=1)


Target: Dušan
Distance: 1.5157% / 1.51570210 | R3P
52.7 Mykolaivska_(N=1)
34.8 Moldovan_South
12.5 Sardinian


Chernivetska_ average seems Balkan (Vlach) influenced.

[Ajeje Brazorf]

I got them in various mixed modes, added to Eurogenes K13 updated Bigger Regions:


Target: Dušan
Distance: 1.7267% / 1.72667627 | ADC: 0.25x RC
60.7 Chernivetska_(N=2)
25.5 Mykolaivska_(N=1)
13.8 Sardinian


Target: Dušan
Distance: 2.6406% / 2.64063636 | ADC: 0.5x RC
89.7 Chernivetska_(N=2)
10.3 Sardinian


Target: Dušan
Distance: 2.5421% / 2.54210001 | R2P
50.4 Torbesh
49.6 Volynska_(N=1)


Target: Dušan
Distance: 1.5157% / 1.51570210 | R3P
52.7 Mykolaivska_(N=1)
34.8 Moldovan_South
12.5 Sardinian


Chernivetska_ average seems Balkan (Vlach) influenced.

PCA

https://i.imgur.com/ddyGcir.png

[Dušan]

PCA

https://i.imgur.com/ddyGcir.png

Yeah, Chernivetska_ is southern shifted, as I thought.

[Ajeje Brazorf]

Yeah, Chernivetska_ is southern shifted, as I thought.

By the way, I am unable to define how accurate these averages may be.

[hawklutz86]

My K13: descendant of Vlach Dragos Voda on my mom's side (Sas coat of arms). Lviv region, Ukraine, Carpathian mountains.

North_Atlantic 26.84 Pct
Baltic 34.9 Pct
West_Med 15.12 Pct
West_Asian 5.03 Pct
East_Med 15.08 Pct
Red_Sea 0.34 Pct
South_Asian -
East_Asian 0.87 Pct
Siberian 0.41 Pct
Amerindian 0.52 Pct
Oceanian 0.22 Pct
Northeast_African 0.67 Pct
Sub-Saharan -

On my father's line pretty typical Lviv Ukrainians. Most of my relatives on my father's side would be like this:
My aunt:
North_Atlantic 28.52 Pct
Baltic 40.25 Pct
West_Med 18.63 Pct
West_Asian 7.77 Pct
East_Med 8.71 Pct
Red_Sea 0.26 Pct
South_Asian 0.65 Pct
East_Asian 1.54 Pct
Siberian 0.6 Pct
Amerindian -
Oceanian 0.09 Pct
Northeast_African -
Sub-Saharan -

So, going from there, my "Vlach" Mom would be something like:
North_Atlantic 25.16 Pct
Baltic 29.56 Pct
West_Med 17.61 Pct
West_Asian 2.29 Pct
East_Med 21.45 Pct
Red_Sea 0.42 Pct
South_Asian 0 Pct
East_Asian 0 Pct
Siberian 0.2 Pct
Amerindian - 1 Pct
Oceanian 0.3 Pct
Northeast_African -
Sub-Saharan -

Very low West Asian and Red Sea and very high East Med. Where do you think this admix might have originated and what would be it's percentage vs Slavic admix. Thanks!

[Slavic Italian]

This was scary accurate for me. My most recent Slavic line was born in Khmelnytska. But I am also Scottish, Anglo, Italian, and Belorussian so there is a little distance.

Target: Slavic_Italian(American)
Distance: 900.7338% / 9.00733833 | ADC: 0.25x RC
74.0 Khmelnytska_(N=2)
26.0 Zhytomyrska_o_(N=1)

From the academic references. Spot on.
Target: Slavic_Italian(American)
Distance: 603.9992% / 6.03999212 | ADC: 0.25x RC
65.8 Khmelnytska
30.4 Zhytomyrska_o
3.8 Zakarpatska

[CountGrishnackh]

How do I get k13 coordinates again? I go to gedmatch, get my k13 results but I can't find a converter.

[Slavic Italian]

How do I get k13 coordinates again? I go to gedmatch, get my k13 results but I can't find a converter.

You use the specifics at the top when you run the calculator. Then you arrange them like G25 coordinates. You don't use a converter. Don't forget a slash means 0.
Mine for example. Slavic_Italian(American),34.34,25.7,14.8,7.44,12.4 2,1.46,1.07,0,0,1.13,0.82,0.83,0



Population
North_Atlantic 34.59 Pct
Baltic 25.13 Pct
West_Med 14.57 Pct
West_Asian 7.57 Pct
East_Med 12.19 Pct
Red_Sea 1.61 Pct
South_Asian 1.21 Pct
East_Asian -
Siberian -
Amerindian 1.18 Pct
Oceanian 0.82 Pct
Northeast_African 1.14 Pct
Sub-Saharan -

[Slavic Italian]

My results with 23&me V3 file.

Distance: 613.7315% / 6.13731475 | ADC: 0.25x RC
68.4 Khmelnytska
31.6 Zhytomyrska

[CountGrishnackh]

My results with 23&me V3 file.

Distance: 613.7315% / 6.13731475 | ADC: 0.25x RC
68.4 Khmelnytska
31.6 Zhytomyrska

The distances are wild.

[Slavic Italian]

The distances are wild.

My line has been in USA about 4 generations. It nailed my origin city according to my relatives in Ukraine.

[CountGrishnackh]

My line has been in USA about 4 generations. It nailed my origin city according to my relatives in Ukraine.

I'm also getting really high distances with pretty much any coords. Even though slightly less than yours with "only" 200%. I've probably messed something up :/

[Slavic Italian]

I'm also getting really high distances with pretty much any coords. Even though slightly less than yours with "only" 200%. I've probably messed something up :/

6.00 is not that bad on this kind of calc.