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PARENT
K13
1 North_Atlantic 33.61
2 Baltic 30.97
3 West_Med 16.55
4 West_Asian 8.77
5 East_Med 8.67
6 Siberian 0.58
7 Northeast_African 0.57
8 Red_Sea 0.15
9 East_Asian 0.14
1 Austrian 4.3
2 Hungarian 4.38
3 East_German 5.14
4 Croatian 7.7
5 Moldavian 8.92
6 Serbian 9.16
7 West_German 11.54
8 South_Polish 11.68
9 Ukrainian_Lviv 12.5
10 South_Dutch 12.68
11 Romanian 13.06
12 Ukrainian 13.48
13 North_German 14.11
14 French 15.2
15 Polish 15.25
16 Bulgarian 15.86
17 North_Swedish 15.94
18 Swedish 16.18
19 Danish 16.65
20 North_Dutch 16.84
K15
1 North_Sea 29.77
2 Baltic 19.26
3 Atlantic 15.07
4 West_Med 13.18
5 Eastern_Euro 9.48
6 West_Asian 6.89
7 East_Med 5.8
8 Northeast_African 0.56
1 Hungarian 7.13
2 East_German 8.2
3 West_German 10.75
4 Moldavian 11.54
5 Austrian 11.79
6 Croatian 11.86
7 Serbian 12.23
8 Ukrainian_Lviv 12.98
9 South_Dutch 13.09
10 Ukrainian 13.75
11 South_Polish 13.9
12 North_German 14.07
13 Swedish 14.21
14 French 14.4
15 North_Swedish 14.55
16 Romanian 14.81
17 Southwest_Finnish 14.92
18 Norwegian 15.08
19 North_Dutch 15.56
20 Finnish 15.7
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Your comment got me thinking that maybe sometimes we have to look elsewhere for German admixture. I took a look and on K13 Beny has 16.99% West Med (higher than average), and 4.66% West Asian (lower than average). We know that South Germans can have high West Med, and West Germans and also NW Germans can have low West Asian, like Beny. So maybe this is how his German admixture has affected his values, due to recombination? Not to say 23andMe is perfect, it ain't, and I suspect that Beny's 37% NW European on 23andMe is too high still.
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GRANDPARENT 1
K13
1 North_Atlantic 32.59
2 Baltic 32.48
3 West_Med 16.47
4 East_Med 9.8
5 West_Asian 8.11
6 Northeast_African 0.41
7 Oceanian 0.15
1 Hungarian 4
2 Austrian 5.43
3 East_German 5.83
4 Croatian 6.24
5 Moldavian 7.89
6 Serbian 8.74
7 South_Polish 10.55
8 Ukrainian_Lviv 11.37
9 Ukrainian 12.24
10 Romanian 12.8
11 West_German 13.04
12 Polish 14.18
13 South_Dutch 14.24
14 North_German 15.4
15 Bulgarian 15.44
16 North_Swedish 16.46
17 French 16.58
18 Southwest_Russian 16.62
19 Ukrainian_Belgorod 16.86
20 Swedish 17.21
K15
1 North_Sea 27.63
2 Baltic 21.82
3 Atlantic 14.66
4 West_Med 11.91
5 Eastern_Euro 11.05
6 East_Med 7.56
7 West_Asian 5.37
8 Northeast_African 0.01
1 Hungarian 5.15
2 East_German 8.41
3 Moldavian 9.32
4 Croatian 9.37
5 Ukrainian_Lviv 10.09
6 Austrian 10.57
7 Ukrainian 10.87
8 South_Polish 11.15
9 Serbian 11.2
10 West_German 13.28
11 Polish 13.66
12 Romanian 13.82
13 Southwest_Finnish 14.02
14 Finnish 14.44
15 South_Dutch 14.98
16 North_Swedish 15.29
17 North_German 15.59
18 Swedish 15.76
19 Russian_Smolensk 16.12
20 Estonian 16.46
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GRANDPARENT 2
K13
1 North_Atlantic 34.47
2 Baltic 34.1
3 West_Med 15.21
4 East_Med 7.13
5 West_Asian 5.43
6 Red_Sea 1.29
7 South_Asian 0.86
8 Amerindian 0.85
9 Oceanian 0.67
1 East_German 3.4
2 Hungarian 4.94
3 Austrian 4.96
4 Croatian 7.23
5 South_Polish 8.88
6 Moldavian 10.03
7 Ukrainian_Lviv 10.04
8 Ukrainian 10.89
9 Polish 11.91
10 Serbian 12.03
11 West_German 12.92
12 North_Swedish 13.04
13 North_German 13.62
14 South_Dutch 13.79
15 Southwest_Finnish 14.03
16 Swedish 14.52
17 Russian_Smolensk 15.35
18 Southwest_Russian 15.39
19 Ukrainian_Belgorod 15.82
20 Estonian_Polish 15.86
K15
1 North_Sea 25
2 Atlantic 18.55
3 Eastern_Euro 18.2
4 Baltic 17.22
5 West_Med 12.72
6 East_Med 3.25
7 West_Asian 3.08
8 Red_Sea 1.23
9 Oceanian 0.44
10 South_Asian 0.3
1 East_German 5.95
2 Hungarian 7.42
3 Austrian 8.88
4 Croatian 9.17
5 Moldavian 10.34
6 South_Polish 10.75
7 Ukrainian 10.94
8 Southwest_Finnish 11.15
9 Ukrainian_Lviv 11.3
10 Serbian 11.55
11 Polish 12.01
12 Finnish 12.73
13 South_Dutch 13
14 North_Swedish 13.65
15 West_German 13.7
16 North_German 14.33
17 East_Finnish 14.35
18 Russian_Smolensk 14.93
19 French 15.23
20 Southwest_Russian 15.69
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Eurogenes K13 Vahaduo, Large Regions
MCMXCV_Parent,33.61,30.97,16.55,8.77,8.67,0.15,0,0 .14,0.58,0,0,0.57,0
Target: MCMXCV_Parent
Distance: 2.0550% / 2.05503185 | ADC: 0.5x
90.6 Austrian_Styria
5.2 Austrian_Lower_Austria
4.2 Serb
Distance to: MCMXCV_Parent
2.38079819 Austrian_Styria
4.68841124 Austrian_Carinthia
5.19162788 Hungarian
5.23015296 Slovene
5.38298244 Austrian
5.88714702 Croat_Northern
6.96445260 German_Southeast
7.19534572 Hungarian_North
7.23090589 Croat
7.36829017 Csángó-Ceangău
7.73789377 Hungarian_Transylvania
7.74897896 Austrian_Lower_Austria
8.25008485 Austrian_Salzburg-Upper_Austria
8.27657538 Slovak
8.75729981 Croat_Southern
8.95763362 Austrian_Burgenland
9.16088424 Czech
9.25218353 Lemko_Poland
10.19161911 German
10.33297634 Romanian_North
10.53724347 Bosniak
10.98038706 Ukrainian_Carpathians
11.24893328 Moldovan_North
11.25497668 French_Alsace
11.34766055 Austrian_Tyrol
Last edited by Luke35; 03-20-2022 at 11:51 PM.
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On the original spreadsheet, your parent is closest to the old Hungarian average.
Target: MCMXCV_Parent
Distance: 2.7245% / 2.72445242 | ADC: 0.5x RC
70.8 Austrian
29.2 Moldavian
Distance to: MCMXCV_Parent
4.82095426 Hungarian
4.86522353 Austrian
5.87902203 East_German
8.73608036 Croatian
10.16821518 Moldavian
10.54580485 Serbian
13.14025114 West_German
13.17119964 South_Polish
14.11455277 Ukrainian_Lviv
14.50229982 South_Dutch
15.05739021 Romanian
15.24636022 Ukrainian
16.15959158 North_German
17.23456121 Polish
17.25188685 French
18.09367569 North_Swedish
18.31307183 Bulgarian
18.55814646 Swedish
19.11261102 Danish
19.34567394 North_Dutch
19.63819747 Southeast_English
19.84026966 Southwest_Finnish
20.15551785 Southwest_Russian
20.38985042 Ukrainian_Belgorod
20.41209445 Norwegian
Last edited by Luke35; 03-20-2022 at 11:52 PM.
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Received: 21,481/13 Given: 26,893/0 |
MCMXCV, I suggest that you you take the component values from your family kits and arrange them the way I did for your parent's K13. What you need to do is copy the values from the page before you click "oracle" on the GEDmatch site. So, copy all of the values in that exact order, even the zero's. Then write them like I did for your parent's K13, or for example: Grandparent1,32.59,32.48, but include all 13 values, or in the case of K15, all 15 values. Then start plugging them into the calculators here: https://vahaduo.genetics.ovh/
Enjoy!
Last edited by Luke35; 03-20-2022 at 11:53 PM.
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MCMXCV, if you don't mind, it would be very interesting to see your 23andMe results.
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