Confuse results from MDLP K23 from brothers that are half Lebanese and half north Italian:

[Ahaddad]

Very strange oracles in admixture of both just in MDLP, in all other calculators the results give in general correctly but in MDLP about very strange. Want help to someone to see!! I give the kits numbers to see other calculators.


KIT T801161



# Population Percent
1 Caucasian 35.90
2 European_Early_Farmers 19.41
3 European_Hunters_Gatherers 12.01
4 South_Central_Asian 9.65
5 Near_East 8.82
6 North_African 6.31
7 East_African 1.82
8 Melano_Polynesian 1.41
9 Austronesian 1.12


Finished reading population data. 620 populations found.
23 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Sicilian_West_ @ 6.560158
2 Ashkenazi_Jew_ @ 6.599890
3 Cretan_ @ 7.354296
4 Turk_Balikesir_ @ 8.035192
5 Sicilian_East_ @ 8.286536
6 Sicilian_Agrigento_ @ 8.452397
7 Romanian_Jew_ @ 8.656827
8 Ashkenazi_ @ 8.661299
9 Sicilian_Siracusa_ @ 8.673234
10 Sicilian_Trapani_ @ 8.850551
11 Maltese_ @ 9.149397
12 French_Jew_ @ 9.277068
13 Crimean_Tatar_Mountain_ @ 9.808519
14 Greek_Athens_ @ 9.868232
15 Italian_South_ @ 9.895898
16 Greek_ @ 10.100212
17 Greek_Smyrna_ @ 10.415382
18 Central_Greek_ @ 10.996173
19 Sephardic_Jew_ @ 11.162481
20 Sicilian_Center_ @ 11.169772

Using 2 populations approximation:
1 50% Sicilian_West_ +50% Turk_Balikesir_ @ 3.972151


Using 3 populations approximation:
1 50% Azov_Greek_ +25% Lebanese_Muslim_ +25% Spanish_Canarias_IBS_ @ 2.924684


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Georgian_Imereti_ + Italian_North_ + Muslim_Arabs_Israel_ + Spanish_Canarias_IBS_ @ 2.695500
2 Cypriot_ + Gagauz_ + Spanish_Canarias_IBS_ + Uzbek_Tashkent_ @ 2.726371
3 Azov_Greek_ + Greek_Athens_ + Kurd_Jew_ + Spanish_Canarias_IBS_ @ 2.806678
4 Azov_Greek_ + Greek_ + Kurd_Jew_ + Spanish_Canarias_IBS_ @ 2.824111
5 Azov_Greek_ + Cretan_ + Georgian_Jew_ + Spanish_Canarias_IBS_ @ 2.831043
6 Georgian_Imereti_ + Italian_North_ + Spanish_Canarias_IBS_ + Syrian_ @ 2.833802
7 Azov_Greek_ + Italian_South_ + Spanish_Canarias_IBS_ + Uzbek_Tashkent_ @ 2.864210
8 Azov_Greek_ + Central_Greek_ + Kurd_Jew_ + Spanish_Canarias_IBS_ @ 2.867772
9 Georgian_Jew_ + Italian_South_ + Spanish_Canarias_IBS_ + Turk_Istanbul_ @ 2.870731
10 Azov_Greek_ + Greek_Athens_ + Spanish_Canarias_IBS_ + Uzbekistani_Jew_ @ 2.871059
11 Armenian_ + Bulgarian_ + Lebanese_Muslim_ + Spanish_Canarias_IBS_ @ 2.882629
12 Azov_Greek_ + Greek_ + Spanish_Canarias_IBS_ + Uzbekistani_Jew_ @ 2.883300
13 Georgian_Laz_ + Italian_North_ + Muslim_Arabs_Israel_ + Spanish_Canarias_IBS_ @ 2.883481
14 Georgian_Jew_ + Greek_Athens_ + Spanish_Canarias_IBS_ + Turk_Istanbul_ @ 2.888889
15 Georgian_Jew_ + Greek_ + Spanish_Canarias_IBS_ + Turk_ @ 2.895750
16 Georgian_Imereti_ + Italian_North_ + Palestinian_ + Spanish_Canarias_IBS_ @ 2.895808
17 Azov_Greek_ + Italian_South_ + Spanish_Canarias_IBS_ + Uzbekistani_Jew_ @ 2.898646
18 Georgian_Jew_ + Greek_ + Spanish_Canarias_IBS_ + Turk_Istanbul_ @ 2.899836
19 Assyrian_Iraqi_ + Gagauz_ + Spanish_Canarias_IBS_ + Turk_Kayseri_ @ 2.901028
20 Azeri_ + Cypriot_ + Gagauz_ + Spanish_Canarias_IBS_ @ 2.907768


KIT MN1421465

Population Percent
1 Caucasian 34.29
2 European_Early_Farmers 17.57
3 South_Central_Asian 12.25
4 Near_East 10.31
5 European_Hunters_Gatherers 9.97
6 North_African 8.09
7 Subsaharian 2.26
8 Austronesian 1.29
9 Paleo_Siberian 1.03


Finished reading population data. 620 populations found.
23 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Turk_Balikesir_ @ 9.026362
2 Sicilian_West_ @ 9.512995
3 Cretan_ @ 9.860462
4 Ashkenazi_Jew_ @ 10.250442
5 Sicilian_Agrigento_ @ 10.319415
6 French_Jew_ @ 10.688933
7 Sephardic_Jew_ @ 10.980704
8 Sicilian_East_ @ 11.206653
9 Maltese_ @ 11.287912
10 Sicilian_Trapani_ @ 11.697045
11 Turk_Jew_ @ 11.714475
12 Syrian_Jew_ @ 11.775390
13 Turk_Aydin_ @ 11.842981
14 Sicilian_Siracusa_ @ 12.186584
15 Italian_Jew_ @ 12.229510
16 Romanian_Jew_ @ 12.360492
17 Greek_Smyrna_ @ 12.361748
18 Ashkenazi_ @ 12.658584
19 Moroccan_Jew_ @ 12.727185
20 Turk_Istanbul_ @ 12.862019

Using 2 populations approximation:
1 50% Iraqi_Mandean_ +50% Italian_North_ @ 5.499461


Using 3 populations approximation:
1 50% Georgian_Jew_ +25% Spanish_Canarias_IBS_ +25% Turk_Balikesir_ @ 3.843328


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++
1 Iraqi_Mandean_ + Kabardin_ + Sicilian_Agrigento_ + Spanish_Canarias_IBS_ @ 3.550443
2 Crimean_Tatar_Mountain_ + Georgian_Jew_ + Iraqi_Mandean_ + Spanish_Canarias_IBS_ @ 3.560177
3 Greek_Thessaloniki_ + Iraqi_Mandean_ + Spanish_Canarias_IBS_ + Uzbek_Tashkent_ @ 3.573855
4 Greek_Peloponnesos_ + Iraqi_Mandean_ + Spanish_Canarias_IBS_ + Uzbek_Tashkent_ @ 3.603112
5 Ashkenazi_ + Iraqi_Mandean_ + Spanish_Canarias_IBS_ + Uzbek_Tashkent_ @ 3.614630
6 Cretan_ + Kabardin_ + Muslim_Arabs_Israel_ + Spanish_Canarias_IBS_ @ 3.636452
7 Azov_Greek_ + Kurd_North_ + Lebanese_ + Spanish_Canarias_IBS_ @ 3.660236
8 Crimean_Tatar_Coast_ + Kurd_North_ + Muslim_Arabs_Israel_ + Spanish_Canarias_IBS_ @ 3.662331
9 Georgian_Jew_ + Sicilian_East_ + Spanish_Canarias_IBS_ + Uzbek_Tashkent_ @ 3.668051
10 Iraqi_Mandean_ + Kabardin_ + Sephardic_Jew_ + Spanish_Canarias_IBS_ @ 3.674411
11 Azov_Greek_ + Kurd_North_ + Muslim_Arabs_Israel_ + Spanish_Canarias_IBS_ @ 3.677561
12 Azov_Greek_ + Kurd_South_ + Lebanese_Muslim_ + Spanish_Canarias_IBS_ @ 3.683545
13 Azeri_ + Greek_Thessaloniki_ + Iraqi_Mandean_ + Spanish_Canarias_IBS_ @ 3.684550
14 Kabardin_ + Kurd_Jew_ + Moroccan_Jew_ + Spanish_Canarias_IBS_ @ 3.685258
15 Azov_Greek_ + Kurd_South_ + Lebanese_ + Spanish_Canarias_IBS_ @ 3.691518
16 Iraqi_Mandean_ + Kabardin_ + Moroccan_Jew_ + Spanish_Canarias_IBS_ @ 3.691572
17 Cretan_ + Kumyk_ + Muslim_Arabs_Israel_ + Spanish_Canarias_IBS_ @ 3.695115
18 Ashkenazi_Jew_ + Georgian_Jew_ + Spanish_Canarias_IBS_ + Uzbek_Tashkent_ @ 3.695931
19 Greek_Thessaly_ + Iraqi_Mandean_ + Spanish_Canarias_IBS_ + Uzbek_Tashkent_ @ 3.699003
20 Bulgarian_ + Iranian_ + Libyan_Jew_ + Sicilian_Agrigento_ @ 3.700487

[Ahaddad]

What is better calculator to gedmatch ?

[Lemgrant]

puntDNAL K15 Oracle

Admix Results (sorted):

# Population Percent
1 Mediterranean 34.36
2 Caucasian 24.81
3 NE_European 19.75
4 SW_Asian 10.02
5 Horn_Of_Africa 3.70
6 S_Indian 2.07
7 Wht_Nile_River 1.40
8 Omo_River 1.23
9 Amerindian 1.13


Using 2 populations approximation:
1 50% Italian +50% Lebanese @ 3.388422


////////////////////////////////

Eurogenes K13 Oracle ref data revised 21 Nov 2013

Kit T801161

Admix Results (sorted):

# Population Percent
1 East_Med 29.79
2 West_Med 18.46
3 West_Asian 17.52
4 North_Atlantic 16.41
5 Red_Sea 6.18
6 Baltic 4.87
7 Northeast_African 3.58
8 South_Asian 1.69
9 Amerindian 1.05
10 Oceanian 0.44

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.3% Lebanese_Muslim + 30.7% Southwest_French @ 3.25
2 68.1% Lebanese_Muslim + 31.9% Spanish_Cantabria @ 3.27
3 66.5% Lebanese_Muslim + 33.5% Spanish_Castilla_La_Mancha @ 3.28
4 64.9% Lebanese_Muslim + 35.1% Spanish_Andalucia @ 3.32
5 66.4% Lebanese_Muslim + 33.6% Spanish_Cataluna @ 3.33
6 66.2% Lebanese_Muslim + 33.8% Spanish_Castilla_Y_Leon @ 3.39
7 64.6% Lebanese_Muslim + 35.4% Portuguese @ 3.44
8 65.2% Lebanese_Muslim + 34.8% Spanish_Murcia @ 3.51
9 66% Lebanese_Muslim + 34% Spanish_Valencia @ 3.51
10 64.3% Lebanese_Muslim + 35.7% Spanish_Extremadura @ 3.54
11 57.4% Lebanese_Muslim + 42.6% North_Italian @ 3.57
12 72.4% Italian_Abruzzo + 27.6% Jordanian @ 3.58
13 55.6% Kurdish_Jewish + 44.4% Portuguese @ 3.68
14 69.3% Italian_Abruzzo + 30.7% Syrian @ 3.69
15 68.5% Lebanese_Muslim + 31.5% Spanish_Aragon @ 3.69
16 57.4% Kurdish_Jewish + 42.6% Spanish_Castilla_Y_Leon @ 3.7
17 65.7% Lebanese_Muslim + 34.3% Spanish_Galicia @ 3.72
18 56% Kurdish_Jewish + 44% Spanish_Andalucia @ 3.76
19 57.8% Kurdish_Jewish + 42.2% Spanish_Castilla_La_Mancha @ 3.79
20 56.3% Kurdish_Jewish + 43.7% Spanish_Murcia @ 3.82

(eurogenes k13 oracle with Admix4_097.exe):

Using 2 populations approximation:
1 Kurdish_Jewish+North_Italian @ 4.074083
2 Lebanese_Muslim+Tuscan @ 4.257512
3 Iranian_Jewish+North_Italian @ 4.341552
4 Lebanese_Muslim+North_Italian @ 4.702835
5 Greek_Andros_Island+Greek_Symi_Island @ 4.778783
6 Syrian+Tuscan @ 4.783502
7 Assyrian+North_Italian @ 4.841254
8 Kurdish_Jewish+Portuguese @ 4.990515
9 North_Italian+Syrian @ 5.2102
10 Italian_Abruzzo+Greek_Symi_Island @ 5.263467
11 Tuscan+Greek_Central_Anatolia @ 5.404113
12 Iranian_Jewish+Portuguese @ 5.483396
13 East_Sicilian+Greek_Symi_Island @ 5.582944
14 Italian_Abruzzo+Greek_Chios @ 5.640776
15 Sephardic_Jewish+Greek_Andros_Island @ 5.744188
16 Central_Greek+Greek_Symi_Island @ 5.762613
17 Assyrian+Portuguese @ 5.782643
18 Lebanese_Muslim+Albanian @ 5.824031
19 West_Sicilian+Greek_Central_Anatolia @ 5.890473
20 Assyrian+Tuscan @ 5.891217
21115 iterations.

[Leto]

Dodecad is accurate for the former, but less so for the latter

51.7% Lebanese (Behar) + 48.3% N_Italian (Dodecad) @ 3.6
56.5% Lebanese (Behar) + 43.5% N_Italian (Dodecad) @ 4.72

[Ahaddad]

Yes but why mdlp say other thing? MDLP have a lot of population? Isn’t accurate?

[Lemgrant]

Yes but why mdlp say other thing? MDLP have a lot of population? Isn’t accurate?

from what I have seen, Eurogenes k13 is the best. Especially when you add more samples to datasheet.

[Ahaddad]

from what I have seen, Eurogenes k13 is the best. Especially when you add more samples to datasheet.

You think these 2 kits are compatible a half Lebanese ?

[Ahaddad]

from what I have seen, Eurogenes k13 is the best. Especially when you add more samples to datasheet.

Yes but mdlp have more than 600 population in database and EUROGENES 200, about this you talking ?

[Lemgrant]

Yes but mdlp have more than 600 population in database and EUROGENES 200, about this you talking ?

The correct result is still there. On gedmatch you see only the first result. With 4admix program you can specify how many approximations you want to see and threshold of components.

here is the 4admix program: https://drive.google.com/open?id=1m4FBDfvlMLWjw-gzE6ZKBkaNI5E3XQFt
and here is the k23b datasheet for the 4admix program oracle: https://drive.google.com/open?id=1qltKPt1rnpJlPc_UsCg0wVa6zCwlyCcQ

try it yourself

result 1:

Least-squares method.
Using 2 populations approximation:
1 Assyrian_Arzni+Portugese @ 4.321996
2 Armenian_Yerevan+Portugese @ 4.581176
3 Azov_Greek+Maltese @ 4.979645
4 Crimean_Tatar_Mountain+Sephardic_Jew @ 5.025665
5 Assyrian_Iraqi+Italian_North @ 5.044516
6 Azov_Greek+Sicilian_West @ 5.086002
7 Georgian_Jew+Italian_Piedmont @ 5.097416
8 Armenian+Portugese @ 5.118718
9 Azov_Greek+Sicilian_Agrigento @ 5.149792
10 Azov_Greek+Sicilian_Trapani @ 5.194583
11 Italian_North+Lebanese_Muslim @ 5.255853
12 Crimean_Tatar_Mountain+French_Jew @ 5.270301
13 Crimean_Tatar_Mountain+Moroccan_Jew @ 5.411463
14 Crimean_Tatar_Mountain+Sicilian_Agrigento @ 5.412707
15 Georgian_Jew+Italian_Tuscan @ 5.439942
16 Cretan+Sicilian_West @ 5.516327
17 Georgian_Jew+Italian_Bergamo @ 5.557217
18 Crimean_Tatar_Mountain+Sicilian_West @ 5.577663
19 Jew_Tat+Portugese @ 5.58275
20 Italian_North+Lebanese_Druze @ 5.690319
125250 iterations.

result 2:

Gaussian method.

Using 2 populations approximation:
1 Italian_North+Samaritian @ 4.039956
2 Iraqi_Jew+Italian_North @ 4.276936
3 Kosovar+Samaritian @ 4.367218
4 Italian_Bergamo+Samaritian @ 4.395135
5 Italian_North+Lebanese_Druze @ 4.410814
6 Italian_Piedmont+Samaritian @ 4.458766
7 Cretan+French_Jew @ 4.492734
8 Iraqi_Jew+Italian_Bergamo @ 4.513562
9 Central_Greek+Samaritian @ 4.515583
10 Iraqi_Jew+Italian_Piedmont @ 4.55426
11 Cretan+Cretan @ 4.562108
12 Assyrian_Arzni+Spanish_Baleares_IBS @ 4.571446
13 Italian_North+Lebanese_Christian @ 4.579946
14 Iraqi_Jew+Spanish_Baleares_IBS @ 4.581789
15 Cretan+Sicilian_Siracusa @ 4.586092
16 Assyrian_Arzni+Portugese @ 4.594011
17 Greek_Peloponnesos+Samaritian @ 4.597304
18 Italian_North+Lebanese_Muslim @ 4.602613
19 Armenian+Portugese @ 4.611581
20 Albanian_Tirana+Samaritian @ 4.614911
125250 iterations.

[Ahaddad]

The correct result is still there. On gedmatch you see only the first result. With 4admix program you can specify how many approximations you want to see and threshold of components.

here is the 4admix program: https://drive.google.com/open?id=1m4FBDfvlMLWjw-gzE6ZKBkaNI5E3XQFt
and here is the k23b datasheet for the 4admix program oracle: https://drive.google.com/open?id=1qltKPt1rnpJlPc_UsCg0wVa6zCwlyCcQ

try it yourself

result 1:

Least-squares method.
Using 2 populations approximation:
1 Assyrian_Arzni+Portugese @ 4.321996
2 Armenian_Yerevan+Portugese @ 4.581176
3 Azov_Greek+Maltese @ 4.979645
4 Crimean_Tatar_Mountain+Sephardic_Jew @ 5.025665
5 Assyrian_Iraqi+Italian_North @ 5.044516
6 Azov_Greek+Sicilian_West @ 5.086002
7 Georgian_Jew+Italian_Piedmont @ 5.097416
8 Armenian+Portugese @ 5.118718
9 Azov_Greek+Sicilian_Agrigento @ 5.149792
10 Azov_Greek+Sicilian_Trapani @ 5.194583
11 Italian_North+Lebanese_Muslim @ 5.255853
12 Crimean_Tatar_Mountain+French_Jew @ 5.270301
13 Crimean_Tatar_Mountain+Moroccan_Jew @ 5.411463
14 Crimean_Tatar_Mountain+Sicilian_Agrigento @ 5.412707
15 Georgian_Jew+Italian_Tuscan @ 5.439942
16 Cretan+Sicilian_West @ 5.516327
17 Georgian_Jew+Italian_Bergamo @ 5.557217
18 Crimean_Tatar_Mountain+Sicilian_West @ 5.577663
19 Jew_Tat+Portugese @ 5.58275
20 Italian_North+Lebanese_Druze @ 5.690319
125250 iterations.

result 2:

Gaussian method.

Using 2 populations approximation:
1 Italian_North+Samaritian @ 4.039956
2 Iraqi_Jew+Italian_North @ 4.276936
3 Kosovar+Samaritian @ 4.367218
4 Italian_Bergamo+Samaritian @ 4.395135
5 Italian_North+Lebanese_Druze @ 4.410814
6 Italian_Piedmont+Samaritian @ 4.458766
7 Cretan+French_Jew @ 4.492734
8 Iraqi_Jew+Italian_Bergamo @ 4.513562
9 Central_Greek+Samaritian @ 4.515583
10 Iraqi_Jew+Italian_Piedmont @ 4.55426
11 Cretan+Cretan @ 4.562108
12 Assyrian_Arzni+Spanish_Baleares_IBS @ 4.571446
13 Italian_North+Lebanese_Christian @ 4.579946
14 Iraqi_Jew+Spanish_Baleares_IBS @ 4.581789
15 Cretan+Sicilian_Siracusa @ 4.586092
16 Assyrian_Arzni+Portugese @ 4.594011
17 Greek_Peloponnesos+Samaritian @ 4.597304
18 Italian_North+Lebanese_Muslim @ 4.602613
19 Armenian+Portugese @ 4.611581
20 Albanian_Tirana+Samaritian @ 4.614911
125250 iterations.

Thank you so much my friend, you can make with other kit ? What kit you put to test?

[Lemgrant]

Thank you so much my friend, you can make with other kit ? What kit you put to test?

you can do it yourself, that's why I uploaded the files on google drive

[Ahaddad]

you can do it yourself, that's why I uploaded the files on google drive

Yes but this that you post it’s this kit that I send number ?

[Lemgrant]

Yes but this that you post it’s this kit that I send number ?

this was with kit T801161

[Ahaddad]

The correct result is still there. On gedmatch you see only the first result. With 4admix program you can specify how many approximations you want to see and threshold of components.

here is the 4admix program: https://drive.google.com/open?id=1m4FBDfvlMLWjw-gzE6ZKBkaNI5E3XQFt
and here is the k23b datasheet for the 4admix program oracle: https://drive.google.com/open?id=1qltKPt1rnpJlPc_UsCg0wVa6zCwlyCcQ

try it yourself

result 1:

Least-squares method.
Using 2 populations approximation:
1 Assyrian_Arzni+Portugese @ 4.321996
2 Armenian_Yerevan+Portugese @ 4.581176
3 Azov_Greek+Maltese @ 4.979645
4 Crimean_Tatar_Mountain+Sephardic_Jew @ 5.025665
5 Assyrian_Iraqi+Italian_North @ 5.044516
6 Azov_Greek+Sicilian_West @ 5.086002
7 Georgian_Jew+Italian_Piedmont @ 5.097416
8 Armenian+Portugese @ 5.118718
9 Azov_Greek+Sicilian_Agrigento @ 5.149792
10 Azov_Greek+Sicilian_Trapani @ 5.194583
11 Italian_North+Lebanese_Muslim @ 5.255853
12 Crimean_Tatar_Mountain+French_Jew @ 5.270301
13 Crimean_Tatar_Mountain+Moroccan_Jew @ 5.411463
14 Crimean_Tatar_Mountain+Sicilian_Agrigento @ 5.412707
15 Georgian_Jew+Italian_Tuscan @ 5.439942
16 Cretan+Sicilian_West @ 5.516327
17 Georgian_Jew+Italian_Bergamo @ 5.557217
18 Crimean_Tatar_Mountain+Sicilian_West @ 5.577663
19 Jew_Tat+Portugese @ 5.58275
20 Italian_North+Lebanese_Druze @ 5.690319
125250 iterations.

result 2:

Gaussian method.

Using 2 populations approximation:
1 Italian_North+Samaritian @ 4.039956
2 Iraqi_Jew+Italian_North @ 4.276936
3 Kosovar+Samaritian @ 4.367218
4 Italian_Bergamo+Samaritian @ 4.395135
5 Italian_North+Lebanese_Druze @ 4.410814
6 Italian_Piedmont+Samaritian @ 4.458766
7 Cretan+French_Jew @ 4.492734
8 Iraqi_Jew+Italian_Bergamo @ 4.513562
9 Central_Greek+Samaritian @ 4.515583
10 Iraqi_Jew+Italian_Piedmont @ 4.55426
11 Cretan+Cretan @ 4.562108
12 Assyrian_Arzni+Spanish_Baleares_IBS @ 4.571446
13 Italian_North+Lebanese_Christian @ 4.579946
14 Iraqi_Jew+Spanish_Baleares_IBS @ 4.581789
15 Cretan+Sicilian_Siracusa @ 4.586092
16 Assyrian_Arzni+Portugese @ 4.594011
17 Greek_Peloponnesos+Samaritian @ 4.597304
18 Italian_North+Lebanese_Muslim @ 4.602613
19 Armenian+Portugese @ 4.611581
20 Albanian_Tirana+Samaritian @ 4.614911
125250 iterations.


This is for MDLP K23b ? The second admix its more accurate. Samaritian and Lebanese Christian be close, so make sense. So this people it’s compatible a half Samaritan and half north/central Italian?

[Ahaddad]

The correct result is still there. On gedmatch you see only the first result. With 4admix program you can specify how many approximations you want to see and threshold of components.

here is the 4admix program: https://drive.google.com/open?id=1m4FBDfvlMLWjw-gzE6ZKBkaNI5E3XQFt
and here is the k23b datasheet for the 4admix program oracle: https://drive.google.com/open?id=1qltKPt1rnpJlPc_UsCg0wVa6zCwlyCcQ

try it yourself

result 1:

Least-squares method.
Using 2 populations approximation:
1 Assyrian_Arzni+Portugese @ 4.321996
2 Armenian_Yerevan+Portugese @ 4.581176
3 Azov_Greek+Maltese @ 4.979645
4 Crimean_Tatar_Mountain+Sephardic_Jew @ 5.025665
5 Assyrian_Iraqi+Italian_North @ 5.044516
6 Azov_Greek+Sicilian_West @ 5.086002
7 Georgian_Jew+Italian_Piedmont @ 5.097416
8 Armenian+Portugese @ 5.118718
9 Azov_Greek+Sicilian_Agrigento @ 5.149792
10 Azov_Greek+Sicilian_Trapani @ 5.194583
11 Italian_North+Lebanese_Muslim @ 5.255853
12 Crimean_Tatar_Mountain+French_Jew @ 5.270301
13 Crimean_Tatar_Mountain+Moroccan_Jew @ 5.411463
14 Crimean_Tatar_Mountain+Sicilian_Agrigento @ 5.412707
15 Georgian_Jew+Italian_Tuscan @ 5.439942
16 Cretan+Sicilian_West @ 5.516327
17 Georgian_Jew+Italian_Bergamo @ 5.557217
18 Crimean_Tatar_Mountain+Sicilian_West @ 5.577663
19 Jew_Tat+Portugese @ 5.58275
20 Italian_North+Lebanese_Druze @ 5.690319
125250 iterations.

result 2:

Gaussian method.

Using 2 populations approximation:
1 Italian_North+Samaritian @ 4.039956
2 Iraqi_Jew+Italian_North @ 4.276936
3 Kosovar+Samaritian @ 4.367218
4 Italian_Bergamo+Samaritian @ 4.395135
5 Italian_North+Lebanese_Druze @ 4.410814
6 Italian_Piedmont+Samaritian @ 4.458766
7 Cretan+French_Jew @ 4.492734
8 Iraqi_Jew+Italian_Bergamo @ 4.513562
9 Central_Greek+Samaritian @ 4.515583
10 Iraqi_Jew+Italian_Piedmont @ 4.55426
11 Cretan+Cretan @ 4.562108
12 Assyrian_Arzni+Spanish_Baleares_IBS @ 4.571446
13 Italian_North+Lebanese_Christian @ 4.579946
14 Iraqi_Jew+Spanish_Baleares_IBS @ 4.581789
15 Cretan+Sicilian_Siracusa @ 4.586092
16 Assyrian_Arzni+Portugese @ 4.594011
17 Greek_Peloponnesos+Samaritian @ 4.597304
18 Italian_North+Lebanese_Muslim @ 4.602613
19 Armenian+Portugese @ 4.611581
20 Albanian_Tirana+Samaritian @ 4.614911
125250 iterations.


What you think is more accurate ?