How German are you?

[Teutone]

btw you are german as FUCK, how the hell.

Maybe because I am German mate

[Teutone]

What is your K13 oracle?

puntDNAL K13 Oracle

Admix Results (sorted):

# Population Percent
1 NE_Europe 50.59
2 SW_Europe 32.37
3 West_Asia 10.49
4 SW_Asia 2.34
5 West_Africa 1.40
6 South_Asia 1.03
7 Americas 1.02


Finished reading population data. 191 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 German_North @ 2.897813
2 Irish @ 3.989706
3 Utahn_European @ 4.083415
4 Orcadian @ 4.487978
5 Scottish @ 4.595884
6 Slovak @ 4.615687
7 English @ 5.059788
8 Slovene @ 5.533342
9 Ukrainian @ 5.546933
10 Norwegian @ 5.604166
11 Hungarian @ 5.926403
12 German_South @ 7.590827
13 Swedish @ 7.767871
14 Belgian @ 8.099943
15 Croatian @ 8.814685
16 Moldavian @ 9.797891
17 Belarusian @ 10.715061
18 Bosnian @ 10.952374
19 French @ 12.236548
20 Serbian @ 14.606778

Using 2 populations approximation:
1 50% Scottish +50% Ukrainian @ 2.336652


Using 3 populations approximation:
1 50% Norwegian +25% Norwegian +25% Serbian @ 2.170335


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Moldavian + Norwegian + Norwegian + Scottish @ 2.016510
2 Irish + Moldavian + Norwegian + Norwegian @ 2.074778
3 Moldavian + Norwegian + Norwegian + Orcadian @ 2.080280
4 Moldavian + Norwegian + Norwegian + Utahn_European @ 2.093620
5 English + Moldavian + Norwegian + Norwegian @ 2.104112
6 Moldavian + Norwegian + Scottish + Swedish @ 2.155357
7 Norwegian + Norwegian + Norwegian + Serbian @ 2.170335
8 Norwegian + Scottish + Slovak + Slovak @ 2.171304
9 Norwegian + Norwegian + Norwegian + Romanian @ 2.180066
10 Norwegian + Norwegian + Romanian + Swedish @ 2.189654
11 German_North + Moldavian + Norwegian + Utahn_European @ 2.199007
12 Belarusian + Norwegian + Scottish + Serbian @ 2.199887
13 Irish + Norwegian + Slovak + Slovak @ 2.203262
14 Scottish + Slovak + Ukrainian + Utahn_European @ 2.205402
15 German_North + Irish + Moldavian + Norwegian @ 2.206865
16 Norwegian + Orcadian + Slovak + Slovak @ 2.208444
17 Belarusian + Irish + Moldavian + Scottish @ 2.210893
18 Belarusian + Moldavian + Orcadian + Scottish @ 2.210893
19 German_South + Norwegian + Slovak + Ukrainian @ 2.212256
20 Belarusian + German_South + Scottish + Slovak @ 2.215078

Done.

[Senpai]

1 N._European_Xing @ 3.676882
2 CEU_HapMap @ 4.464107
3 Argyll_1000 Genomes @ 4.722081
4 German_Dodecad @ 5.731763
5 Orcadian_HGDP @ 5.884048
6 Orkney_1000 Genomes @ 6.041890
7 Mixed_Germanic_Dodecad @ 11.068327
8 Dutch_Dodecad @ 12.821063
9 French_HGDP @ 13.974650
10 French_Dodecad @ 14.384354
11 Kent_1000 Genomes @ 15.174002
12 Slovenian_Xing @ 15.559046
13 British_Isles_Dodecad @ 16.912018
14 British_Dodecad @ 17.186514
15 Cornwall_1000 Genomes @ 17.863735
16 Swedish_Dodecad @ 17.936974
17 Norwegian_Dodecad @ 19.540920
18 Irish_Dodecad @ 19.941916
19 Hungarians_Behar @ 20.488052
20 FIN_1000Genomes @ 25.391224

[Profileid]

Almost as German as you

1 CEU (HapMap) 3.58
2 Argyll (1000 Genomes) 4.1
3 N._European (Xing) 4.17
4 German (Dodecad) 4.65
5 Orcadian (HGDP) 4.9
6 Orkney (1000 Genomes) 5.14
7 Mixed_Germanic (Dodecad) 10.79
8 Dutch (Dodecad) 12.05
9 French (HGDP) 12.47
10 French (Dodecad) 12.63
11 Slovenian (Xing) 13.59
12 Kent (1000 Genomes) 14.13
13 British_Isles (Dodecad) 15.72
14 British (Dodecad) 15.99
15 Cornwall (1000 Genomes) 16.64
16 Swedish (Dodecad) 16.68
17 Hungarians (Behar) 17.76
18 Norwegian (Dodecad) 18.11
19 Irish (Dodecad) 18.53
20 FIN (1000Genomes) 23.11

[Gründig]

puntDNAL K13 Oracle

Admix Results (sorted):

# Population Percent
1 NE_Europe 50.59
2 SW_Europe 32.37
3 West_Asia 10.49
4 SW_Asia 2.34
5 West_Africa 1.40
6 South_Asia 1.03
7 Americas 1.02


Finished reading population data. 191 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 German_North @ 2.897813
2 Irish @ 3.989706
3 Utahn_European @ 4.083415
4 Orcadian @ 4.487978
5 Scottish @ 4.595884
6 Slovak @ 4.615687
7 English @ 5.059788
8 Slovene @ 5.533342
9 Ukrainian @ 5.546933
10 Norwegian @ 5.604166
11 Hungarian @ 5.926403
12 German_South @ 7.590827
13 Swedish @ 7.767871
14 Belgian @ 8.099943
15 Croatian @ 8.814685
16 Moldavian @ 9.797891
17 Belarusian @ 10.715061
18 Bosnian @ 10.952374
19 French @ 12.236548
20 Serbian @ 14.606778

Using 2 populations approximation:
1 50% Scottish +50% Ukrainian @ 2.336652


Using 3 populations approximation:
1 50% Norwegian +25% Norwegian +25% Serbian @ 2.170335


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Moldavian + Norwegian + Norwegian + Scottish @ 2.016510
2 Irish + Moldavian + Norwegian + Norwegian @ 2.074778
3 Moldavian + Norwegian + Norwegian + Orcadian @ 2.080280
4 Moldavian + Norwegian + Norwegian + Utahn_European @ 2.093620
5 English + Moldavian + Norwegian + Norwegian @ 2.104112
6 Moldavian + Norwegian + Scottish + Swedish @ 2.155357
7 Norwegian + Norwegian + Norwegian + Serbian @ 2.170335
8 Norwegian + Scottish + Slovak + Slovak @ 2.171304
9 Norwegian + Norwegian + Norwegian + Romanian @ 2.180066
10 Norwegian + Norwegian + Romanian + Swedish @ 2.189654
11 German_North + Moldavian + Norwegian + Utahn_European @ 2.199007
12 Belarusian + Norwegian + Scottish + Serbian @ 2.199887
13 Irish + Norwegian + Slovak + Slovak @ 2.203262
14 Scottish + Slovak + Ukrainian + Utahn_European @ 2.205402
15 German_North + Irish + Moldavian + Norwegian @ 2.206865
16 Norwegian + Orcadian + Slovak + Slovak @ 2.208444
17 Belarusian + Irish + Moldavian + Scottish @ 2.210893
18 Belarusian + Moldavian + Orcadian + Scottish @ 2.210893
19 German_South + Norwegian + Slovak + Ukrainian @ 2.212256
20 Belarusian + German_South + Scottish + Slovak @ 2.215078

Done.

Interesting but whoops, I meant K13 eurogenes with the basic oracle (not 4way).

[Teutone]

Interesting but whoops, I ment K13 eurogenes

Oh my bad.

here:

Spoiler!

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 North_Atlantic 44.53
2 Baltic 27.93
3 West_Med 11.62
4 West_Asian 9.25
5 East_Med 4.43
6 Red_Sea 1.04


Finished reading population data. 204 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 North_German @ 3.970526
2 Danish @ 7.144774
3 North_Dutch @ 7.146284
4 Swedish @ 7.705730
5 West_German @ 8.145841
6 Norwegian @ 8.322192
7 South_Dutch @ 8.407866
8 Orcadian @ 9.187534
9 Austrian @ 9.268178
10 Southeast_English @ 9.435848
11 East_German @ 9.706859
12 Irish @ 9.715201
13 West_Scottish @ 10.903099
14 Southwest_English @ 11.162557
15 North_Swedish @ 12.149819
16 Hungarian @ 14.204803
17 French @ 15.247638
18 Southwest_Finnish @ 19.710711
19 Croatian @ 20.104565
20 South_Polish @ 20.121244

Using 2 populations approximation:
1 50% Austrian +50% Norwegian @ 3.368613


Using 3 populations approximation:
1 50% Irish +25% Moldavian +25% North_German @ 2.634546


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++
1 Irish + Moldavian + North_German + Norwegian @ 2.612917
2 Austrian + North_German + North_German + North_German @ 2.616663
3 Irish + Moldavian + North_Dutch + North_German @ 2.624033
4 Irish + Irish + Moldavian + North_German @ 2.634546
5 Irish + Moldavian + North_Dutch + North_Dutch @ 2.669490
6 Irish + Moldavian + North_Dutch + Norwegian @ 2.680771
7 Moldavian + North_German + Norwegian + West_Scottish @ 2.688673
8 Hungarian + Irish + North_German + North_German @ 2.702017
9 Moldavian + North_Dutch + North_German + West_Scottish @ 2.725824
10 Danish + Irish + Moldavian + North_Dutch @ 2.770803
11 Moldavian + North_Dutch + North_Dutch + North_Dutch @ 2.789446
12 Irish + Moldavian + North_German + West_Scottish @ 2.792459
13 Croatian + Irish + Irish + North_German @ 2.793048
14 Croatian + Irish + North_Dutch + North_German @ 2.799134
15 Danish + Irish + Moldavian + North_German @ 2.817013
16 Danish + Irish + Moldavian + Norwegian @ 2.828264
17 Moldavian + North_Dutch + North_Dutch + Norwegian @ 2.853946
18 Irish + Irish + Moldavian + Norwegian @ 2.857337
19 Norwegian + Norwegian + Norwegian + Romanian @ 2.862543
20 Moldavian + North_Dutch + North_Dutch + West_Scottish @ 2.870590

Done.

[Bogdan]

# Population (source) Distance
1 German (Dodecad) 6.87
2 CEU (HapMap) 7.11
3 N._European (Xing) 8.16
4 Argyll (1000 Genomes) 8.72
5 Orcadian (HGDP) 9.12
6 Orkney (1000 Genomes) 9.47
7 Slovenian (Xing) 9.94
8 French (Dodecad) 12.65
9 French (HGDP) 12.87
10 Hungarians (Behar) 13.93
11 Mixed_Germanic (Dodecad) 14.95
12 Dutch (Dodecad) 16.19
13 Kent (1000 Genomes) 18.31
14 British_Isles (Dodecad) 20.01
15 British (Dodecad) 20.19
16 Cornwall (1000 Genomes) 20.81
17 Swedish (Dodecad) 20.95
18 Portuguese (Dodecad) 22.16
19 Norwegian (Dodecad) 22.56
20 N_Italian (Dodecad) 22.68

[Kess]

puntDNAL K13 Oracle

Admix Results (sorted):

# Population Percent
1 NE_Europe 50.59
2 SW_Europe 32.37
3 West_Asia 10.49
4 SW_Asia 2.34
5 West_Africa 1.40
6 South_Asia 1.03
7 Americas 1.02


Finished reading population data. 191 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 German_North @ 2.897813
2 Irish @ 3.989706
3 Utahn_European @ 4.083415
4 Orcadian @ 4.487978
5 Scottish @ 4.595884
6 Slovak @ 4.615687
7 English @ 5.059788
8 Slovene @ 5.533342
9 Ukrainian @ 5.546933
10 Norwegian @ 5.604166
11 Hungarian @ 5.926403
12 German_South @ 7.590827
13 Swedish @ 7.767871
14 Belgian @ 8.099943
15 Croatian @ 8.814685
16 Moldavian @ 9.797891
17 Belarusian @ 10.715061
18 Bosnian @ 10.952374
19 French @ 12.236548
20 Serbian @ 14.606778

Using 2 populations approximation:
1 50% Scottish +50% Ukrainian @ 2.336652


Using 3 populations approximation:
1 50% Norwegian +25% Norwegian +25% Serbian @ 2.170335


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Moldavian + Norwegian + Norwegian + Scottish @ 2.016510
2 Irish + Moldavian + Norwegian + Norwegian @ 2.074778
3 Moldavian + Norwegian + Norwegian + Orcadian @ 2.080280
4 Moldavian + Norwegian + Norwegian + Utahn_European @ 2.093620
5 English + Moldavian + Norwegian + Norwegian @ 2.104112
6 Moldavian + Norwegian + Scottish + Swedish @ 2.155357
7 Norwegian + Norwegian + Norwegian + Serbian @ 2.170335
8 Norwegian + Scottish + Slovak + Slovak @ 2.171304
9 Norwegian + Norwegian + Norwegian + Romanian @ 2.180066
10 Norwegian + Norwegian + Romanian + Swedish @ 2.189654
11 German_North + Moldavian + Norwegian + Utahn_European @ 2.199007
12 Belarusian + Norwegian + Scottish + Serbian @ 2.199887
13 Irish + Norwegian + Slovak + Slovak @ 2.203262
14 Scottish + Slovak + Ukrainian + Utahn_European @ 2.205402
15 German_North + Irish + Moldavian + Norwegian @ 2.206865
16 Norwegian + Orcadian + Slovak + Slovak @ 2.208444
17 Belarusian + Irish + Moldavian + Scottish @ 2.210893
18 Belarusian + Moldavian + Orcadian + Scottish @ 2.210893
19 German_South + Norwegian + Slovak + Ukrainian @ 2.212256
20 Belarusian + German_South + Scottish + Slovak @ 2.215078

Done.

How you are get 1.02 Americas

[Teutone]

How you are get 1.02 Americas

I guess an Error

[Mortimer]

Im zero german as far as I know.

Single Population Sharing:

# Population (source) Distance
1 Romanians_14 (Behar) 16.75
2 Ashkenazy_Jews (Behar) 18.01
3 Balkans (Dodecad) 19.38
4 Ashkenazi (Dodecad) 19.57
5 Tuscan (Xing) 19.78
6 Tuscan (Henn) 20.7
7 TSI (HapMap) 21.14
8 Slovenian (Xing) 22.85
9 O_Italian (Dodecad) 22.98
10 Stalskoe (Xing) 23.03
11 Hungarians (Behar) 23.16
12 Morocco_Jews (Behar) 23.58
13 Greek (Dodecad) 23.65
14 C_Italian (Dodecad) 24.37
15 S_Italian_Sicilian (Dodecad) 25.69
16 N_Italian (Dodecad) 26.4
17 Tuscan (HGDP) 26.55
18 Sicilian (Dodecad) 26.66
19 Uzbekistan_Jews (Behar) 26.82
20 Turkish (Dodecad) 27.36