Post Eurogenes EUTest

[Petalpusher]

I ve always tried to find a spreadsheet of this calculator, since the update recently on Gedmatch they all include one now, here's the peaks:


North-Central_Euro
Norway 30.46


Atlantic
French_Basque 42.29


South_Baltic
Lithuanian 38.20


East_Euro
Erzya 32.24


West_Med
Sardinian 50.96


West_Asian
Georgian 50.10


East_Med
Lebanese Druze 54.25


Middle_Eastern
Bedouin 58.67


South_Asian
South_Indians 84.60


East_African
Ethiopian 43.34


East_Asian
Chinese 94.12


Siberian
Nganassan 94.03


West_African
Yoruba 78.74

[FunkyWanderer]

Admix Results (sorted):

# Population Percent
1 North_Sea 29.09
2 Atlantic 26.28
3 West_Med 15.76
4 Baltic 10.03
5 Eastern_Euro 6.19
6 West_Asian 5.81
7 East_Med 4.25
8 Oceanian 1.22


Finished reading population data. 207 populations found.
15 components mode.

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

Least-squares method.

Using 1 population approximation:
1 French @ 4.242848
2 South_Dutch @ 5.679601
3 West_German @ 8.691393
4 Southwest_English @ 9.048853
5 Southeast_English @ 10.872053
6 North_German @ 11.890720
7 Spanish_Galicia @ 11.987556
8 Spanish_Cataluna @ 12.041690
9 Irish @ 13.077435
10 Portuguese @ 13.232737
11 East_German @ 13.251111
12 North_Dutch @ 13.466483
13 Spanish_Castilla_Y_Leon @ 13.565789
14 Danish @ 13.786674
15 West_Scottish @ 13.903734
16 Orcadian @ 14.633775
17 Spanish_Extremadura @ 15.114919
18 Spanish_Cantabria @ 15.144793
19 Spanish_Murcia @ 15.414785
20 Austrian @ 16.099651

Using 2 populations approximation:
1 50% French +50% South_Dutch @ 3.883836


Using 3 populations approximation:
1 50% French +25% Spanish_Cantabria +25% Swedish @ 3.417414


Using 4 populations approximation:
1 French + Southwest_English + Southwest_French + West_German @ 3.321722
2 French + North_German + Spanish_Cantabria + West_German @ 3.328078
3 French + Southwest_English + Spanish_Cantabria + West_German @ 3.361951
4 French_Basque + West_German + West_German + West_German @ 3.368574
5 South_Dutch + Southwest_French + West_German + West_German @ 3.386168
6 French + Southwest_French + West_German + West_German @ 3.397044
7 French + French + Spanish_Cantabria + Swedish @ 3.417414
8 South_Dutch + South_Dutch + Spanish_Cantabria + West_German @ 3.432012
9 North_Dutch + North_German + Orcadian + Sardinian @ 3.432240
10 French + North_Dutch + Spanish_Cantabria + West_German @ 3.435554
11 French + North_Dutch + Southwest_French + West_German @ 3.438856
12 South_Dutch + Spanish_Cantabria + West_German + West_German @ 3.447081
13 Southwest_English + Southwest_French + West_German + West_German @ 3.447410
14 South_Dutch + Southwest_English + Spanish_Cantabria + West_German @ 3.464029
15 North_Italian + Orcadian + Spanish_Cantabria + Swedish @ 3.467142
16 North_German + North_German + Orcadian + Sardinian @ 3.477153
17 French + North_German + Southwest_French + West_German @ 3.532730
18 North_Dutch + North_Italian + Spanish_Cantabria + West_Norwegian @ 3.544564
19 French + Southwest_English + Spanish_Cataluna + West_German @ 3.544942
20 French + French + Southwest_French + Swedish @ 3.556140

[noricum]

1 SOUTH_BALTIC 20.82
2 ATLANTIC 19.32
3 NORTH-CENTRAL_EURO 18.84
4 EAST_EURO 16.19
5 EAST_MED 12.26
6 WEST_MED 10.95
7 WEST_ASIAN 1.2
8 SOUTH_ASIAN 0.34
9 EAST_AFRICAN 0.08

Single Population Sharing:


# Population (source) Distance
1 AT 5.92
2 HU 6.16
3 Serbian 9.14
4 RO 11.91
5 PL 12.51
6 West_&_Central_German 12.52
7 UA 13.5
8 NL 13.89
9 North_Swedish 14.53
10 West_Russian 14.99
11 Ukrainian-Russian 15.07
12 South_&_Central_Swedish 15.08
13 DK 15.74
14 NO 15.79
15 Cornish 16.07
16 English 16.16
17 South_Finnish 16.34
18 FR 16.39
19 Belorussian 16.8
20 Orcadian 16.88

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 83.3% AT + 16.7% Northwest_Russian @ 4.56
2 81.1% AT + 18.9% Belorussian @ 4.58
3 77.5% AT + 22.5% UA @ 4.63
4 79.7% AT + 20.3% Ukrainian-Russian @ 4.66
5 57.4% EE + 42.6% Tuscan @ 4.68
6 76.2% AT + 23.8% PL @ 4.68
7 85.9% AT + 14.1% LIT @ 4.81
8 52.1% EE + 47.9% North_Italian @ 4.84
9 80.7% AT + 19.3% West_Russian @ 4.85
10 86.1% AT + 13.9% North_Russian @ 4.88
11 84.3% AT + 15.7% EE @ 4.95
12 86.3% AT + 13.7% East_Russian @ 5.15
13 88.6% AT + 11.4% Erzya @ 5.21
14 62.4% PL + 37.6% North_Italian @ 5.22
15 67.4% PL + 32.6% Tuscan @ 5.22
16 63.5% PL + 36.5% PT @ 5.23
17 54% AT + 46% HU @ 5.24
18 87.5% AT + 12.5% East_Finnish @ 5.27
19 54.2% Belorussian + 45.8% North_Italian @ 5.29
20 64.9% PL + 35.1% ES @ 5.34

[Norka]

Admix Results (sorted):

# Population Percent
1 EAST_EURO 26.64
2 SOUTH_BALTIC 24.42
3 ATLANTIC 15.98
4 NORTH-CENTRAL_EURO 14.42
5 SIBERIAN 7.67
6 WEST_ASIAN 4.85
7 WEST_MED 3.06
8 EAST_MED 2.59


Finished reading population data. 78 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 East_Russian @ 5.918652
2 Erzya @ 7.020463
3 North_Russian @ 8.370191
4 East_Finnish @ 8.916867
5 West_Russian @ 8.980393
6 Ukrainian-Russian @ 10.203183
7 South_Finnish @ 11.685362
8 Udmurt @ 11.704220
9 PL @ 12.158696
10 UA @ 12.734838
11 Belorussian @ 12.769652
12 Komi @ 12.847522
13 EE @ 13.233535
14 Northwest_Russian @ 13.268930
15 LIT @ 17.047510
16 HU @ 18.779739
17 North_Swedish @ 19.197586
18 AT @ 21.891409
19 Serbian @ 23.284439
20 South_&_Central_Swedish @ 24.057486

Using 2 populations approximation:
1 50% PL +50% Udmurt @ 2.361657


Using 3 populations approximation:
1 50% PL +25% Udmurt +25% Udmurt @ 2.361657


Using 4 populations approximation:
1 PL + PL + Udmurt + Udmurt @ 2.361657
2 EE + HU + Udmurt + Udmurt @ 2.444923
3 AT + LIT + Udmurt + Udmurt @ 2.628341
4 PL + Udmurt + Udmurt + West_Russian @ 2.717549
5 AT + Northwest_Russian + Udmurt + Udmurt @ 2.737713
6 HU + LIT + Udmurt + Udmurt @ 2.853827
7 HU + Northwest_Russian + Udmurt + Udmurt @ 2.933934
8 PL + UA + Udmurt + Udmurt @ 2.980330
9 EE + PL + Udmurt + Udmurt @ 3.078899
10 Belorussian + HU + Udmurt + Udmurt @ 3.155512
11 Belorussian + PL + Udmurt + Udmurt @ 3.160593
12 AT + EE + Udmurt + Udmurt @ 3.207537
13 East_Finnish + Erzya + HU + Udmurt @ 3.218840
14 PL + Udmurt + Udmurt + Ukrainian-Russian @ 3.230488
15 AT + Erzya + Erzya + Udmurt @ 3.251539
16 EE + Erzya + HU + Udmurt @ 3.312527
17 Komi + PL + PL + Udmurt @ 3.333056
18 AT + Belorussian + Udmurt + Udmurt @ 3.358653
19 AT + Erzya + North_Russian + Udmurt @ 3.363256
20 EE + HU + Komi + Udmurt @ 3.367070

[Dr. Robotnik the Subbotnik]

Population
SOUTH_BALTIC 14.27
EAST_EURO 11.74
NORTH-CENTRAL_EURO 25.59
ATLANTIC 29.23
WEST_MED 9.77
EAST_MED 1.76
WEST_ASIAN 7.65

Single Pop. Sharing:

Using 1 population approximation:
1 Orcadian @ 3.736739
2 IE (Irish) @ 3.793178
3 Scottish @ 4.804054
4 Cornish @ 5.768113
5 NL @ 6.705686
6 English @ 7.057981
7 West_&_Central_German @ 7.292135
8 DK @ 8.559104
9 NO @ 9.139143
10 South_&_Central_Swedish @ 9.823256
11 North_Swedish @ 13.225869
12 AT @ 14.030155
13 FR @ 14.497125
14 HU @ 19.227533
15 South_Finnish @ 22.258751
16 Serbian @ 22.842960
17 ES @ 22.886099
18 PT @ 22.911062
19 PL @ 24.371916
20 RO @ 25.873255

Using 2 populations approximation:
1 50% IE (Irish) +50% Orcadian @ 3.659730

Using 3 populations approximation:
1 50% IE (Irish) +25% Scottish +25% West_&_Central_German @ 3.434942

Using 4 populations approximation:
1 AT (Austrian) + IE (Irish) + Scottish + Scottish @ 3.254804
2 AT (Austrian) + IE (Irish) + IE (Irish) + Scottish @ 3.281287
3 AT (Austrian) + Scottish + Scottish + Scottish @ 3.340119
etc

so maybe 3/4 Irish or Scottish and 1/4 Austrian?

Closest match is 50% Scottish, 25% Irish and 25% Austrian.

[Petalpusher]

so maybe 3/4 Irish or Scottish and 1/4 Austrian?

Closest match is 50% Scottish, 25% Irish and 25% Austrian.

Both 4 and 2 pop look accurate for your ancestry

Irish + Orcadian is too (Orcadians are close to Norwegians, or maybe intermediate with Scottish)

[Neon Knight]

Both 4 and 2 pop look accurate for your ancestry

Irish + Orcadian is too (Orcadians are close to Norwegians, or maybe intermediate with Scottish)

Regarding these GEDmatch Oracles in general, it seems to me the distance between British and French is too great, yeah? Also, where do you predict a Breton-Norman population would come in my results?

01 Ireland 5.78
02 Netherlands 5.88
03 Orkney 5.96
04 Cornwall 6.52
05 W & C German 6.72
06 England 6.88
07 Denmark 7.36
08 Norway 7.58
09 Scotland 7.81
10 S & C Sweden 8.47
11 North Sweden 11.3
12 Austria 11.86
13 France 12.35

[Pahli]

# Population Percent
1 WEST_ASIAN 33.77
2 EAST_MED 33.34
3 SOUTH_ASIAN 9.03
4 MIDDLE_EASTERN 7.89
5 EAST_EURO 6.81
6 WEST_MED 4.43
7 NORTH-CENTRAL_EURO 1.83
8 ATLANTIC 1.81
9 EAST_AFRICAN 0.54
10 SOUTH_BALTIC 0.39
11 SIBERIAN 0.14

Single Population Sharing:

# Population (source) Distance
1 Kurdish 3.76
2 IR 5.37
3 TR 10.12
4 Armenian 10.21
5 Assyrian 12.27
6 Mandean 13.76
7 GE 17.35
8 Lezgin 19.53
9 IQ 19.97
10 GR 24.95
11 AJ 26.18
12 Brahui 26.37
13 Druze 27.03
14 Balochi 27.17
15 South_Italian_&_Sicilian 27.55
16 Samaritan 29.44
17 Tuscan 35.72
18 RO 35.88
19 Serbian 37.53
20 Kalash 38.39

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 86.8% Kurdish + 13.2% GE @ 2.72
2 91.9% Kurdish + 8.1% Lezgin @ 3.35
3 95.9% Kurdish + 4.1% Kalash @ 3.39
4 94.4% Kurdish + 5.6% Balochi @ 3.4
5 94.3% Kurdish + 5.7% Brahui @ 3.41
6 88.9% Kurdish + 11.1% Armenian @ 3.56
7 97.5% Kurdish + 2.5% Sindhi @ 3.57
8 97.3% Kurdish + 2.7% Burusho @ 3.58
9 98.5% Kurdish + 1.5% Gujarati @ 3.63
10 81.1% IR + 18.9% GE @ 3.64
11 98.4% Kurdish + 1.6% IN @ 3.64
12 70.7% IR + 29.3% Armenian @ 3.65
13 98.9% Kurdish + 1.1% Bangladeshi @ 3.69
14 99% Kurdish + 1% Sardinian @ 3.7
15 99.2% Kurdish + 0.8% South_Indian @ 3.7
16 98.7% Kurdish + 1.3% TR @ 3.75
17 100% Kurdish + 0% French_Basque @ 3.76
18 100% Kurdish + 0% AJ @ 3.76
19 100% Kurdish + 0% Algerian @ 3.76
20 100% Kurdish + 0% Assyrian @ 3.76

Using 2 populations approximation:
1 50% Kurdish +50% Kurdish @ 4.223626


Using 3 populations approximation:
1 50% Assyrian +25% Brahui +25% GE @ 3.317755


Using 4 populations approximation:
1 Assyrian + Assyrian + Brahui + GE @ 3.317755
2 Assyrian + Assyrian + Balochi + GE @ 3.369733
3 Balochi + Druze + GE + Kurdish @ 3.447414
4 Brahui + Druze + GE + Kurdish @ 3.469798
5 Assyrian + Brahui + GE + Mandean @ 3.498446
6 Assyrian + Balochi + GE + Mandean @ 3.558096
7 Armenian + Balochi + Druze + GE @ 3.670261
8 GE + IR + Kurdish + Kurdish @ 3.773041
9 Armenian + Armenian + Brahui + Kurdish @ 3.794534
10 Armenian + Brahui + Druze + GE @ 3.804643
11 Assyrian + Druze + GE + Kalash @ 3.805697
12 GE + IR + IR + Kurdish @ 3.869608
13 GE + Kurdish + Kurdish + Kurdish @ 3.899368
14 Armenian + Armenian + Balochi + Kurdish @ 3.902934
15 Armenian + IR + IR + Kurdish @ 3.953958
16 Brahui + Druze + GE + IR @ 4.006560
17 Balochi + Druze + GE + IR @ 4.022285
18 Armenian + Assyrian + Brahui + Kurdish @ 4.022707
19 Armenian + IR + Kurdish + Kurdish @ 4.026088
20 Balochi + Druze + GE + TR @ 4.044891

[Petalpusher]

Regarding these GEDmatch Oracles in general, it seems to me the distance between British and French is too great, yeah? Also, where do you predict a Breton-Norman population would come in my results?

01 Ireland 5.78
02 Netherlands 5.88
03 Orkney 5.96
04 Cornwall 6.52
05 W & C German 6.72
06 England 6.88
07 Denmark 7.36
08 Norway 7.58
09 Scotland 7.81
10 S & C Sweden 8.47
11 North Sweden 11.3
12 Austria 11.86
13 France 12.35

It depends what the components are based on, they are a bit different than the K15 calculator, and seeing the spreadsheet now there is no very high peak specially among the euro components (30-50% ish) so i can see how Eurogenes improved that part a bit on K13/K15 (EUtest is just a pre-version of K15). It can create more deviation in the admixture matches for some people but it still puts almost exactly the same than the K15 Pca with the better matches of the multi pop / mixmode. I tried to place the same intermediates and it got me on the same point than on the K15 pca, a few pixels off. It just creates some "visual effect" in the single pop list i think.

The thing is the more specific Euro components you create, you are getting more prone to create artificial differences. For example if i was creating 4-5 components peaking in all corners of UK i would probably create great "distances" between all of the people of the isles, while you are obviously all very close. So there s always a sweet spot to try to decipher population that are close without getting into too much artificial differences that don't really exist.

From what i ve seen people in NW France usually get FR, W-C German, Cornish first in different orders, comes down to individuals.

[Didriksson]

SOUTH_BALTIC 35.40
EAST_EURO 27.01
NORTH-CENTRAL_EURO 22.30
ATLANTIC 10.17
WEST_MED 4.83
SOUTH_ASIAN 0.30