Post your Eurogenes EUtest V2 K15 results

Quote:

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Originally Posted by Philo

Population
East_Med 30.29%
West_Asian 14.92%
North_Sea 14.59%
West_Med 14.42%
Red_Sea 8.96%
Atlantic 7.13%
Baltic 3.49%
Eastern_Euro 2.55%
Northeast_African 1.12%
Siberian 0.99%
Southeast_Asian 0.77%
Oceanian 0.65%
Sub-Saharan 0.12%
Amerindian -
South_Asian -

Oracle:
Least-squares method.

Using 1 population approximation:
1 Ashkenazi @ 8.851
2 Sephardic_Jewish @ 12.496
3 Cyprian @ 16.588
4 Greek @ 17.248
5 Syrian @ 17.954
6 Lebanese_Muslim @ 18.095
7 Tuscan @ 18.636
8 Jordanian @ 20.480
9 Turkish @ 20.774
10 Samaritan @ 21.470
165 iterations.


Using 2 populations approximation:
1 50% Syrian +50% Tuscan @ 8.475
2 50% Lebanese_Christian +50% North_Italian @ 8.771
3 50% Lebanese_Christian +50% Spanish_Galicia @ 8.838
4 50% Ashkenazi +50% Ashkenazi @ 8.851
5 50% Jordanian +50% Tuscan @ 8.885
6 50% Lebanese_Muslim +50% Tuscan @ 8.923
7 50% French +50% Lebanese_Christian @ 8.940
8 50% Lebanese_Christian +50% Tuscan @ 8.961
9 50% Lebanese_Christian +50% Serbian @ 9.045
10 50% Lebanese_Druze +50% Spanish_Galicia @ 9.081
13695 iterations.

Using 3 populations approximation:
1 50% Lebanese_Christian +25% Ashkenazi +25% Orcadian @ 5.708
2 50% Lebanese_Christian +25% Ashkenazi +25% Dutch @ 5.772
3 50% Cyprian +25% Norwegian +25% Samaritan @ 5.780
4 50% Lebanese_Christian +25% Ashkenazi +25% Norwegian @ 5.793
5 50% Samaritan +25% Cyprian +25% Norwegian @ 5.843
6 50% Cyprian +25% Orcadian +25% Samaritan @ 5.867
7 50% Lebanese_Christian +25% Ashkenazi +25% Southwest_English @ 5.886
8 50% Samaritan +25% Cyprian +25% Orcadian @ 5.891
9 50% Cyprian +25% Samaritan +25% Swedish @ 5.982
10 50% Cyprian +25% Lebanese_Christian +25% Norwegian @ 5.988
546889 iterations.

Using 4 populations approximation:
1 Ashkenazi + Lebanese_Christian + Lebanese_Christian + Orcadian @ 5.708
2 Ashkenazi + Lebanese_Christian + Orcadian + Samaritan @ 5.772
3 Ashkenazi + Dutch + Lebanese_Christian + Lebanese_Christian @ 5.772
4 Cyprian + Cyprian + Norwegian + Samaritan @ 5.780
5 Ashkenazi + Lebanese_Christian + Lebanese_Christian + Norwegian @ 5.793
6 Cyprian + Orcadian + Samaritan + Syrian @ 5.810
7 Cyprian + Norwegian + Samaritan + Syrian @ 5.812
8 Cyprian + Norwegian + Samaritan + Samaritan @ 5.843
9 Ashkenazi + Dutch + Lebanese_Christian + Samaritan @ 5.849
10 Ashkenazi + Lebanese_Christian + Norwegian + Samaritan @ 5.851
11 Cyprian + Cyprian + Orcadian + Samaritan @ 5.867
12 Ashkenazi + Lebanese_Christian + Lebanese_Christian + Southwest_English @ 5.886
13 Cyprian + Orcadian + Samaritan + Samaritan @ 5.891
14 Cyprian + Cyprian + Samaritan + Swedish @ 5.982
15 Cyprian + Cyprian + Lebanese_Christian + Norwegian @ 5.988
16 Cyprian + Lebanese_Christian + Orcadian + Syrian @ 6.005
17 Cyprian + Lebanese_Christian + Norwegian + Syrian @ 6.010
18 Ashkenazi + Lebanese_Christian + Samaritan + Southwest_English @ 6.018
19 Cyprian + Lebanese_Christian + Norwegian + Samaritan @ 6.026
20 Cyprian + Lebanese_Muslim + Norwegian + Samaritan @ 6.029

1785295 iterations.


Quite an interesting oracle. Southern Italian/Sicilian was nowhere to be found and Lebanese Christian popped everywhere. Perhaps ariel/aa100 was right after all.
Is "Red Sea" just a replacement of the traditional Southwest Asian component?

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deleted

Quote:

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Originally Posted by orangepulp

Philo, you are mixed. Where are you exactly from?

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Jew.

Quote:

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Originally Posted by Mark

Mine:

East_Med - 29.10%
Atlantic - 14.92%
West_Med - 12.85%
West_Asian - 11.82%
--------------------------------
Red_Sea - 9.21%
North_Sea - 8.69%
Baltic - 7.40%
Eastern_Euro - 3.32%
Northeast_African - 1.39%
--------------------------------
Siberian - 0.77%
Sub-Saharan - 0.45%
Oceanian - 0.08%
--------------------------------
South_Asian -
Southeast_Asian -
Amerindian -
--------------------------------

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That's very interesting that you diverge so much from my results, considering we're from the same ethnic group. :).

Admix Results (sorted):

# Population Percent
1 Atlantic 27.27
2 North_Sea 21.89
3 East_Med 13.74
4 West_Med 13.21
5 West_Asian 11.33
6 Baltic 6.45
7 Eastern_Euro 3.27
8 Red_Sea 2.86


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Least-squares method.

Using 1 population approximation:
1 North_Italian @ 11.432
2 Spanish_Cataluna @ 12.179
3 French @ 12.417
4 Spanish_Murcia @ 12.550
5 Spanish_Extremadura @ 12.700
6 Spanish_Castilla_Y_Leon @ 12.862
7 Portuguese @ 12.879
8 Spanish_Galicia @ 13.807
9 Tuscan @ 14.414
10 Spanish_Valencia @ 14.427
165 iterations.



Using 2 populations approximation:
1 50% Southeast_English +50% Tuscan @ 7.105
2 50% Southwest_English +50% Tuscan @ 7.438
3 50% Irish +50% Tuscan @ 7.448
4 50% French +50% Tuscan @ 7.588
5 50% German +50% Tuscan @ 7.630
6 50% Irish +50% Sephardic_Jewish @ 7.750
7 50% Tuscan +50% West_Scottish @ 7.805
8 50% Sephardic_Jewish +50% West_Scottish @ 7.907
9 50% Danish +50% Tuscan @ 7.994
10 50% Sephardic_Jewish +50% Southeast_English @ 8.243
13695 iterations.



Using 3 populations approximation:
1 50% Southeast_English +25% Assyrian +25% French_Basque @ 3.719
2 50% Southwest_English +25% Assyrian +25% French_Basque @ 3.751
3 50% Spanish_Aragon +25% Armenian +25% West_Scottish @ 4.184
4 50% Southeast_English +25% Armenian +25% French_Basque @ 4.261
5 50% Spanish_Aragon +25% Armenian +25% Irish @ 4.267
6 50% Spanish_Aragon +25% Armenian +25% Orcadian @ 4.333
7 50% Irish +25% Assyrian +25% French_Basque @ 4.381
8 50% Southeast_English +25% Assyrian +25% Spanish_Aragon @ 4.448
9 50% Southwest_English +25% Armenian +25% French_Basque @ 4.479
10 50% Southwest_English +25% Assyrian +25% Spanish_Aragon @ 4.516
543869 iterations.

Admix Results (sorted):

# Population Percent
1 Atlantic 27.27
2 North_Sea 21.89
3 East_Med 13.74
4 West_Med 13.21
5 West_Asian 11.33
6 Baltic 6.45
7 Eastern_Euro 3.27
8 Red_Sea 2.86


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Least-squares method.

Using 1 population approximation:
1 North_Italian @ 11.432
2 Spanish_Cataluna @ 12.179
3 French @ 12.417
4 Spanish_Murcia @ 12.550
5 Spanish_Extremadura @ 12.700
6 Spanish_Castilla_Y_Leon @ 12.862
7 Portuguese @ 12.879
8 Spanish_Galicia @ 13.807
9 Tuscan @ 14.414
10 Spanish_Valencia @ 14.427
165 iterations.



Using 2 populations approximation:
1 50% Southeast_English +50% Tuscan @ 7.105
2 50% Southwest_English +50% Tuscan @ 7.438
3 50% Irish +50% Tuscan @ 7.448
4 50% French +50% Tuscan @ 7.588
5 50% German +50% Tuscan @ 7.630
6 50% Irish +50% Sephardic_Jewish @ 7.750
7 50% Tuscan +50% West_Scottish @ 7.805
8 50% Sephardic_Jewish +50% West_Scottish @ 7.907
9 50% Danish +50% Tuscan @ 7.994
10 50% Sephardic_Jewish +50% Southeast_English @ 8.243
13695 iterations.



Using 3 populations approximation:
1 50% Southeast_English +25% Assyrian +25% French_Basque @ 3.719
2 50% Southwest_English +25% Assyrian +25% French_Basque @ 3.751
3 50% Spanish_Aragon +25% Armenian +25% West_Scottish @ 4.184
4 50% Southeast_English +25% Armenian +25% French_Basque @ 4.261
5 50% Spanish_Aragon +25% Armenian +25% Irish @ 4.267
6 50% Spanish_Aragon +25% Armenian +25% Orcadian @ 4.333
7 50% Irish +25% Assyrian +25% French_Basque @ 4.381
8 50% Southeast_English +25% Assyrian +25% Spanish_Aragon @ 4.448
9 50% Southwest_English +25% Armenian +25% French_Basque @ 4.479
10 50% Southwest_English +25% Assyrian +25% Spanish_Aragon @ 4.516
543869 iterations.

Eurogenes EUtest V2 K15 Oracle-x Population Fitting:

Admix Results:

# Population Percent
1 North_Sea 21.78
2 Atlantic 27.13
3 Baltic 6.41
4 Eastern_Euro 3.25
5 West_Med 13.14
6 West_Asian 11.27
7 East_Med 13.67
8 Red_Sea 2.85
9 South_Asian 0.00
10 Southeast_Asian 0.00
11 Siberian 0.42
12 Amerindian 0.02
13 Oceanian 0.00
14 Northeast_African 0.05
15 Sub-Saharan 0.00


Pct. Calc. Option 2

1 Spanish_Cataluna 49.29%
2 Iranian 13.66%
3 Irish 9.65%
4 North_Ossetian 7.55%
5 West_Scottish 6.42%
6 Southeast_English 4.43%
7 Spanish_Murcia 2.93%
8 Tuscan 2.92%
9 Spanish_Castilla_Y_Leon 2.06%
10 Spanish_Extremadura 1.09%

Oracle option 2:

Single Population Sharing:

# Population (source) Distance
1 North_Italian 10.04
2 French 10.58
3 Spanish_Cataluna 10.66
4 Spanish_Murcia 11.01
5 Spanish_Extremadura 11.21
6 Spanish_Castilla_Y_Leon 11.29
7 Portuguese 11.36
8 Spanish_Galicia 12.1
9 Tuscan 12.39
10 Spanish_Valencia 12.62
11 Spanish_Andalucia 13.01
12 Spanish_Castilla_La_Mancha 13.1
13 Serbian 14.5
14 Spanish_Cantabria 14.62
15 Spanish_Aragon 14.85
16 Romanian 14.91
17 Southwest_French 15.64
18 Bulgarian 16.09
19 Austrian 16.11
20 German 16.2

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.8% Tuscan + 37.2% Irish @ 5.03
2 63.6% Tuscan + 36.4% West_Scottish @ 5.12
3 60.6% Tuscan + 39.4% Southeast_English @ 5.25
4 63.3% Tuscan + 36.7% Danish @ 5.48
5 60.5% Southwest_English + 39.5% Sephardic_Jewish @ 5.57
6 59.8% Southeast_English + 40.2% Sephardic_Jewish @ 5.64
7 60.2% Tuscan + 39.8% Southwest_English @ 5.71
8 77.8% French + 22.2% Turkish @ 5.73
9 57.5% Irish + 42.5% Sephardic_Jewish @ 5.74
10 81.5% French + 18.5% Armenian @ 5.79
11 81.5% French + 18.5% Assyrian @ 5.79
12 83.3% Spanish_Cataluna + 16.7% Georgian @ 5.8
13 80% Spanish_Cataluna + 20% Kumyk @ 5.82
14 81.3% Spanish_Cataluna + 18.7% Lezgin @ 5.93
15 82% Spanish_Cataluna + 18% Adygei @ 5.93
16 84.5% Spanish_Cataluna + 15.5% Abhkasian @ 5.97
17 80.1% French + 19.9% Lebanese_Muslim @ 5.99
18 80.6% Spanish_Murcia + 19.4% Lezgin @ 6
19 66.2% Tuscan + 33.8% Orcadian @ 6.06
20 56.6% West_Scottish + 43.4% Sephardic_Jewish @ 6.07

Oracle option 2:

Single Population Sharing:

# Population (source) Distance
1 North_Italian 10.04
2 French 10.58
3 Spanish_Cataluna 10.66
4 Spanish_Murcia 11.01
5 Spanish_Extremadura 11.21
6 Spanish_Castilla_Y_Leon 11.29
7 Portuguese 11.36
8 Spanish_Galicia 12.1
9 Tuscan 12.39
10 Spanish_Valencia 12.62
11 Spanish_Andalucia 13.01
12 Spanish_Castilla_La_Mancha 13.1
13 Serbian 14.5
14 Spanish_Cantabria 14.62
15 Spanish_Aragon 14.85
16 Romanian 14.91
17 Southwest_French 15.64
18 Bulgarian 16.09
19 Austrian 16.11
20 German 16.2

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.8% Tuscan + 37.2% Irish @ 5.03
2 63.6% Tuscan + 36.4% West_Scottish @ 5.12
3 60.6% Tuscan + 39.4% Southeast_English @ 5.25
4 63.3% Tuscan + 36.7% Danish @ 5.48
5 60.5% Southwest_English + 39.5% Sephardic_Jewish @ 5.57
6 59.8% Southeast_English + 40.2% Sephardic_Jewish @ 5.64
7 60.2% Tuscan + 39.8% Southwest_English @ 5.71
8 77.8% French + 22.2% Turkish @ 5.73
9 57.5% Irish + 42.5% Sephardic_Jewish @ 5.74
10 81.5% French + 18.5% Armenian @ 5.79
11 81.5% French + 18.5% Assyrian @ 5.79
12 83.3% Spanish_Cataluna + 16.7% Georgian @ 5.8
13 80% Spanish_Cataluna + 20% Kumyk @ 5.82
14 81.3% Spanish_Cataluna + 18.7% Lezgin @ 5.93
15 82% Spanish_Cataluna + 18% Adygei @ 5.93
16 84.5% Spanish_Cataluna + 15.5% Abhkasian @ 5.97
17 80.1% French + 19.9% Lebanese_Muslim @ 5.99
18 80.6% Spanish_Murcia + 19.4% Lezgin @ 6
19 66.2% Tuscan + 33.8% Orcadian @ 6.06
20 56.6% West_Scottish + 43.4% Sephardic_Jewish @ 6.07

Ruben, the Option 1 and Option 2 only actually works for the Oracle-X.

Quote:

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Originally Posted by orangepulp

What is the origin of the East Med component? Which populations were taken as a reference?

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Quote:

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Originally Posted by Equilibrium

The thing is he changes the labels with every new test, there isn't much consistency. His last major test was the K36 analysis, there East-Med consisted of non-Muslim Levantine populations.

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For Eurogenes K36, the reference populations used for the East_Med component were: Cypriot, Druze, Lebanese Christian, and Lebanese Druze.
https://docs.google.com/file/d/0B9o3.../preview?pli=1

For Eurogenese EUTest/Jtest, the reference populations used for the East_Med component were: Druze and Samaritans.
https://docs.google.com/file/d/0B9o3.../preview?pli=1

Quote:

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Originally Posted by Robert

What populations does eastern euro come from? I have a little higher than average in that for British people.

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On Eurogenes EUtest/Jtest, the reference population for East_Euro was Udmurts.
https://docs.google.com/file/d/0B9o3.../preview?pli=1

And on Eurogenes K36, the reference samples for Eastern_Euro were: Erzya, Kargopol, and Moksha.
https://docs.google.com/file/d/0B9o3.../preview?pli=1


Eurogenes EUtest V2 K15 is most similar to EUtest/Jest overall, but we shall see what happens when the spreadsheet for this new calculator is released.

Polako should kick down a mf'in' spreadsheet, pronto.