My GEDmatch results

[happycow]

There you go. I guess maybe I have some Caucasian ancestry that I don't know about?

Possibly. Your west asian percentage seems more similar to Lebanese muslims. I think my west asian was just slightly higher than the Palestinian average

[Kamal900]

Possibly. Your west asian percentage seems more similar to Lebanese muslims. I think my west asian was just slightly higher than the Palestinian average

That's true considering that my paternal grandmother was a Lebanese shi3a, so you can say that I'm 1/4th Lebanese genetically while the rest is Palestinian.

[happycow]

That's true considering that my paternal grandmother was a Lebanese shi3a, so you can say that I'm 1/4th Lebanese genetically while the rest is Palestinian.

Wish you could do 23andme. My great grandmother was Lebanese and 23andme managed to pick up the regions.

[Kamal900]

Wish you could do 23andme. My great grandmother was Lebanese and 23andme managed to pick up the regions.

I wish, but we don't have any clinics here that provide that nor does the company sends it's kits anywhere in the MENA region besides Israel

[Mesoman]

Here are my GEDmatch results:

Jtest:

Admix Results (sorted):

# Population Percent
1 EAST_MED 37.86
2 MIDDLE_EASTERN 20.16
3 WEST_ASIAN 16.48
4 WEST_MED 9.35
5 ASHKENAZI 5.79
6 SOUTH_ASIAN 3.05
7 NORTH-CENTRAL_EURO 3.03
8 EAST_AFRICAN 2.40


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

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

Least-squares method.

Using 1 population approximation:
1 IQ @ 9.036242
2 Samaritan @ 10.631749
3 Mandean @ 12.283883
4 Assyrian @ 14.162012
5 Druze @ 16.881546
6 TR @ 20.019768
7 Armenian @ 20.325636
8 GR @ 20.854652
9 South_Italian_&_Sicilian @ 21.452969
10 Kurdish @ 22.171505
11 IR @ 23.337337
12 AJ @ 33.862679
13 Algerian @ 34.521378
14 Tuscan @ 34.832615
15 GE @ 39.569893
16 Moroccan @ 39.832100
17 North_Italian @ 40.269737
18 RO @ 40.605133
19 Bedouin @ 42.347263
20 Serbian @ 42.383530

Using 2 populations approximation:
1 50% Mandean +50% Samaritan @ 6.080221


Using 3 populations approximation:
1 50% IQ +25% Samaritan +25% South_Italian_&_Sicilian @ 4.444737


Using 4 populations approximation:
1 Algerian + Druze + Mandean + Mandean @ 3.097530
2 Algerian + Assyrian + Druze + Mandean @ 3.306703
3 IQ + Samaritan + Samaritan + TR @ 3.523220
4 IQ + Mandean + Samaritan + South_Italian_&_Sicilian @ 3.805326
5 Algerian + Assyrian + Assyrian + Druze @ 4.076247
6 Mandean + Samaritan + Samaritan + South_Italian_&_Sicilian @ 4.132244
7 GR + IQ + IQ + Samaritan @ 4.153470
8 GR + IQ + Mandean + Samaritan @ 4.191198
9 Druze + Mandean + Mandean + Moroccan @ 4.198832
10 Algerian + Assyrian + Druze + IQ @ 4.250764
11 Armenian + IQ + Samaritan + Samaritan @ 4.343150
12 Assyrian + IQ + Samaritan + South_Italian_&_Sicilian @ 4.424001
13 IQ + IQ + Samaritan + South_Italian_&_Sicilian @ 4.444737
14 Algerian + Druze + Kurdish + Samaritan @ 4.522501
15 Armenian + Bedouin + Druze + GR @ 4.560217
16 Algerian + Armenian + Druze + Mandean @ 4.646822
17 GR + Mandean + Samaritan + Samaritan @ 4.654131
18 Druze + IQ + IQ + South_Italian_&_Sicilian @ 4.663242
19 Algerian + Druze + IQ + Mandean @ 4.679577
20 GR + IQ + Samaritan + Samaritan @ 4.680312

Eurogenes K13:
[/URL]

Eurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013

Kit FM10243

Admix Results (sorted):

# Population Percent
1 East_Med 38.1
2 West_Asian 22.04
3 Red_Sea 12.49
4 West_Med 11.9
5 North_Atlantic 6.58
6 Northeast_African 3.87
7 South_Asian 2.69
8 East_Asian 1.2
9 Sub-Saharan 0.57
10 Oceanian 0.56

Single Population Sharing:

# Population (source) Distance
1 Syrian 3.97
2 Lebanese_Muslim 4.16
3 Jordanian 7.1
4 Palestinian 8.14
5 Samaritan 9.66
6 Cyprian 10.18
7 Lebanese_Christian 10.31
8 Kurdish_Jewish 10.41
9 Lebanese_Druze 10.43
10 Iranian_Jewish 10.59
11 Tunisian_Jewish 12.01
12 Assyrian 12.02
13 Libyan_Jewish 12.27
14 Bedouin 12.34
15 Sephardic_Jewish 14.19
16 Turkish 14.43
17 Georgian_Jewish 14.79
18 Italian_Jewish 16.32
19 Algerian_Jewish 16.32
20 Armenian 17.18

Dodecad V3:

Dodecad V3 Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Kit FM10243

Admix Results (sorted):

# Population Percent
1 West_Asian 31.98
2 Mediterranean 27.87
3 Southwest_Asian 21.2
4 West_European 5.27
5 South_Asian 3.87
6 Northwest_African 3.8
7 East_African 2.99
8 Palaeo_African 1.39
9 Neo_African 0.75
10 Southeast_Asian 0.53
11 East_European 0.37

Single Population Sharing:

# Population (source) Distance
1 Lebanese (Behar) 5.83
2 Palestinian (HGDP) 5.94
3 Georgia_Jews (Behar) 7.24
4 Samaritians (Behar) 8.41
5 Jordanians_19 (Behar) 8.99
6 Iranian_Jews (Behar) 9.01
7 Syrians (Behar) 9.05
8 Uzbekistan_Jews (Behar) 9.34
9 Iraq_Jews (Behar) 9.51
10 Druze (HGDP) 9.69
11 Azerbaijan_Jews (Behar) 11.4
12 Kurd (Xing) 13.96
13 Morocco_Jews (Behar) 14.13
14 Kurd (Dodecad) 15.74
15 Egypt (Henn) 15.89
16 Turkish (Dodecad) 15.9
17 Cypriots (Behar) 16.35
18 Assyrian (Dodecad) 17.72
19 Ashkenazi (Dodecad) 17.81
20 Sephardic_Jews (Behar) 18.11

Mixed mode population sharing:

Garbage.

[happycow]

Garbage.

What's garbage? The results?

[Mesoman]

What's garbage? The results?

Sorry for not clarifying what I meant, my bad. By garbage I meant that dodecad v3 is garbage when it comes to georgian jews because according to the result, Georgian Jews are closer to Lebanese than Samaritans, Jordanians, Iranian Jews, Syrians, Iraqi Jews, Druze and possibly cypriots are. On top of that the distance in between Georgian Jews and Lebanese in this result is relatively lower than it should realistically be and how it often is in general.

[happycow]

Sorry for not clarifying what I meant, my bad. By garbage I meant that dodecad v3 is garbage when it comes to georgian jews because according to the result, Georgian Jews are closer to Lebanese than Samaritans, Jordanians, Iranian Jews, Syrians, Iraqi Jews, Druze and possibly cypriots are. On top of that the distance in between Georgian Jews and Lebanese in this result is relatively lower than it should realistically be and how it often is in general.

Oh ok. I see.