Here are my K15 results:
[TD="bgcolor: #FFFFFF"]Population
| |
[TD="bgcolor: #FFFFFF, align: right"][/TD]
[TD="bgcolor: #FFFFFF, align: right"]Diff. AJ
[/TD]
[TD="bgcolor: #FFFFFF"]North_Sea
[/TD]
[TD="bgcolor: #F4F4FF, align: right"]8.44%
[/TD]
[TD="bgcolor: #F4F4FF, align: right"]
-1.55
[/TD]
[TD="bgcolor: #FFFFFF"]Atlantic
[/TD]
[TD="bgcolor: #E6E6FF, align: right"]19.52%
[/TD]
[TD="bgcolor: #E6E6FF, align: right"]+9.52
[/TD]
[TD="bgcolor: #FFFFFF"]Baltic
[/TD]
[TD="bgcolor: #F9F9FF, align: right"]4.00%
[/TD]
[TD="bgcolor: #F9F9FF, align: right"]
-2.74
[/TD]
[TD="bgcolor: #FFFFFF"]Eastern_Euro
[/TD]
[TD="bgcolor: #FCFCFF, align: right"]1.99%
[/TD]
[TD="bgcolor: #F9F9FF, align: right"]
-3.18
[/TD]
[TD="bgcolor: #FFFFFF"]West_Med
[/TD]
[TD="bgcolor: #ECECFF, align: right"]14.60%
[/TD]
[TD="align: right"]+0.18
[/TD]
[TD="bgcolor: #FFFFFF"]West_Asian
[/TD]
[TD="bgcolor: #EAEAFF, align: right"]16.32%
[/TD]
[TD="bgcolor: #EAEAFF, align: right"]+3.27
[/TD]
[TD="bgcolor: #FFFFFF"]East_Med
[/TD]
[TD="bgcolor: #DDDDFF, align: right"]26.20%
[/TD]
[TD="align: right"]+0.19
[/TD]
[TD="bgcolor: #FFFFFF"]Red_Sea
[/TD]
[TD="bgcolor: #F6F6FF, align: right"]6.79%
[/TD]
[TD="bgcolor: #F6F6FF, align: right"]
-1.28
[/TD]
[TD="bgcolor: #FFFFFF"]South_Asian
[/TD]
[TD="bgcolor: #FFFFFF, align: right"]-
[/TD]
[TD="bgcolor: #F6F6FF, align: right"]
-1.20
[/TD]
[TD="bgcolor: #FFFFFF"]Southeast_Asian
[/TD]
[TD="bgcolor: #FEFEFF, align: right"]0.62%
[/TD]
[TD="bgcolor: #FEFEFF, align: right"]+0.02
[/TD]
[TD="bgcolor: #FFFFFF"]Siberian
[/TD]
[TD="bgcolor: #FFFFFF, align: right"]-
[/TD]
[TD="bgcolor: #FFFFFF, align: right"]-0.58
[/TD]
[TD="bgcolor: #FFFFFF"]Amerindian
[/TD]
[TD="bgcolor: #FFFFFF, align: right"]-
[/TD]
[TD="bgcolor: #FFFFFF, align: right"]-0.32
[/TD]
[TD="bgcolor: #FFFFFF"]Oceanian
[/TD]
[TD="bgcolor: #FEFEFF, align: right"]0.29%
[/TD]
[TD="bgcolor: #FEFEFF, align: right"]+0.05
[/TD]
[TD="bgcolor: #FFFFFF"]Northeast_African
[/TD]
[TD="bgcolor: #FDFDFF, align: right"]1.24%
[/TD]
[TD="bgcolor: #FDFDFF, align: right"]-0.39
[/TD]
[TD="bgcolor: #FFFFFF"]Sub-Saharan
[/TD]
[TD="bgcolor: #FFFFFF, align: right"]-
[/TD]
[TD="bgcolor: #FFFFFF, align: right"]-0.39
[/TD]
[/TD]
I seem to get double the Atlantic component than an average AJ, but I suppose that just like Joey commented above, Gedmatch isn't very reliable. Is it possible that the similarities between AJs and west Sicilians come from a common Canaanite ancestry (the Phoenicians colonized west Sicily and like the Israelites they were Canaanites)?
Well, the high Atlantic component is not your only difference to the average AJ. You are also more West Asian, and less North Sea / Baltic / Eastern Euro (see my addition to your table above). That would suggest that you have taken up very little ancestry from Eastern Europe, and some Sephardim ancestry instead.
But even a AJ/ Sephardim mix wouldn't make you that "Atlantic", Sephardim also have just 14% of it. Actually, there aren't many populations that are high on "Atlantic" but at the same time low on "North Sea". The best here is French Basques (45% Atlantic vs. 17% North Sea) - in terms of a relevant, ancient Jewish community that should mean Narbonne.
The "best fit" population, as you probably already have realised, is West Sicilians. But West Sicilians, and even more so French Basques lack the West Asian component and are too Western Mediterranean. So I looked for a population that is high on "West Asian" but at the same time low on "Eastern European" and "Siberian". Best fit here is Georgian Jews. From the three together one can already pretty well emulate your ancestry structure, but they miss an East African & Red Sea component. Yemenite Jews fill the gap perfectly. That's not meaning you have actually Yemenite Jewish ancestry, they should rather compensate for the specifically Jewish element that is missing within French Basques. So here is my result:
[TABLE="width: 507"]
[TR]
[TD="width: 185, bgcolor: yellow"]
Population
[/TD]
[TD="width: 82, bgcolor: yellow"]
Georgian Jewish
[/TD]
[TD="width: 81, bgcolor: yellow"]
West Sicilian
[/TD]
[TD="width: 81, bgcolor: yellow"]
Yemenite Jewish
[/TD]
[TD="width: 82, bgcolor: yellow"]
French Basque
[/TD]
[TD="width: 82, bgcolor: yellow"]
Mix
[/TD]
[TD="width: 80, bgcolor: yellow"]
John Doe
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"][/TD]
[TD="bgcolor: #FFFFCC, align: right"]
35.6%
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
26.1%
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
9.1%
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
29.2%
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
100%
[/TD]
[TD="bgcolor: transparent"][/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
North_Sea
[/TD]
[TD="bgcolor: transparent, align: right"]
2.27
[/TD]
[TD="bgcolor: transparent, align: right"]
9.76
[/TD]
[TD="bgcolor: transparent, align: right"]
0.27
[/TD]
[TD="bgcolor: transparent, align: right"]
16.85
[/TD]
[TD="bgcolor: transparent, align: right"]
8.30
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
8.44
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Atlantic
[/TD]
[TD="bgcolor: transparent, align: right"]
2.67
[/TD]
[TD="bgcolor: transparent, align: right"]
18.32
[/TD]
[TD="bgcolor: transparent, align: right"]
1.05
[/TD]
[TD="bgcolor: transparent, align: right"]
45.40
[/TD]
[TD="bgcolor: transparent, align: right"]
19.08
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
19.52
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Baltic
[/TD]
[TD="bgcolor: transparent, align: right"]
1.63
[/TD]
[TD="bgcolor: transparent, align: right"]
4.70
[/TD]
[TD="bgcolor: transparent, align: right"]
0.16
[/TD]
[TD="bgcolor: transparent, align: right"]
4.79
[/TD]
[TD="bgcolor: transparent, align: right"]
3.22
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
4.00
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Eastern_Euro
[/TD]
[TD="bgcolor: transparent, align: right"]
2.91
[/TD]
[TD="bgcolor: transparent, align: right"]
3.27
[/TD]
[TD="bgcolor: transparent, align: right"]
0.11
[/TD]
[TD="bgcolor: transparent, align: right"]
2.82
[/TD]
[TD="bgcolor: transparent, align: right"]
2.72
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
1.99
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
West_Med
[/TD]
[TD="bgcolor: transparent, align: right"]
6.95
[/TD]
[TD="bgcolor: transparent, align: right"]
17.76
[/TD]
[TD="bgcolor: transparent, align: right"]
4.40
[/TD]
[TD="bgcolor: transparent, align: right"]
25.04
[/TD]
[TD="bgcolor: transparent, align: right"]
14.82
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
14.60
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
West_Asian
[/TD]
[TD="bgcolor: transparent, align: right"]
35.22
[/TD]
[TD="bgcolor: transparent, align: right"]
10.64
[/TD]
[TD="bgcolor: transparent, align: right"]
5.41
[/TD]
[TD="bgcolor: transparent, align: right"]
0.83
[/TD]
[TD="bgcolor: transparent, align: right"]
16.05
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
16.32
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
East_Med
[/TD]
[TD="bgcolor: transparent, align: right"]
36.66
[/TD]
[TD="bgcolor: transparent, align: right"]
26.75
[/TD]
[TD="bgcolor: transparent, align: right"]
54.11
[/TD]
[TD="bgcolor: transparent, align: right"]
2.74
[/TD]
[TD="bgcolor: transparent, align: right"]
25.76
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
26.20
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Red_Sea
[/TD]
[TD="bgcolor: transparent, align: right"]
8.06
[/TD]
[TD="bgcolor: transparent, align: right"]
5.37
[/TD]
[TD="bgcolor: transparent, align: right"]
27.46
[/TD]
[TD="bgcolor: transparent, align: right"]
0.73
[/TD]
[TD="bgcolor: transparent, align: right"]
6.99
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
6.79
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
South_Asian
[/TD]
[TD="bgcolor: transparent, align: right"]
2.77
[/TD]
[TD="bgcolor: transparent, align: right"]
0.57
[/TD]
[TD="bgcolor: transparent, align: right"]
0.48
[/TD]
[TD="bgcolor: transparent, align: right"]
0.13
[/TD]
[TD="bgcolor: transparent, align: right"]
1.22
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
0.00
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Southeast_Asian
[/TD]
[TD="bgcolor: transparent, align: right"]
0.17
[/TD]
[TD="bgcolor: transparent, align: right"]
0.19
[/TD]
[TD="bgcolor: transparent, align: right"]
0.06
[/TD]
[TD="bgcolor: transparent, align: right"]
0.28
[/TD]
[TD="bgcolor: transparent, align: right"]
0.20
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
0.62
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Siberian
[/TD]
[TD="bgcolor: transparent, align: right"]
0.10
[/TD]
[TD="bgcolor: transparent, align: right"]
0.08
[/TD]
[TD="bgcolor: transparent, align: right"]
0.10
[/TD]
[TD="bgcolor: transparent, align: right"]
0.04
[/TD]
[TD="bgcolor: transparent, align: right"]
0.08
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
0.00
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Amerindian
[/TD]
[TD="bgcolor: transparent, align: right"]
0.16
[/TD]
[TD="bgcolor: transparent, align: right"]
0.01
[/TD]
[TD="bgcolor: transparent, align: right"]
0.08
[/TD]
[TD="bgcolor: transparent, align: right"]
0.03
[/TD]
[TD="bgcolor: transparent, align: right"]
0.08
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
0.00
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Oceanian
[/TD]
[TD="bgcolor: transparent, align: right"]
0.11
[/TD]
[TD="bgcolor: transparent, align: right"]
0.52
[/TD]
[TD="bgcolor: transparent, align: right"]
0.18
[/TD]
[TD="bgcolor: transparent, align: right"]
0.10
[/TD]
[TD="bgcolor: transparent, align: right"]
0.22
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
0.29
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Northeast_African
[/TD]
[TD="bgcolor: transparent, align: right"]
0.29
[/TD]
[TD="bgcolor: transparent, align: right"]
1.33
[/TD]
[TD="bgcolor: transparent, align: right"]
6.11
[/TD]
[TD="bgcolor: transparent, align: right"]
0.17
[/TD]
[TD="bgcolor: transparent, align: right"]
1.06
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
1.24
[/TD]
[/TR]
[TR]
[TD="bgcolor: transparent"]
Sub-Saharan
[/TD]
[TD="bgcolor: transparent, align: right"]
0.04
[/TD]
[TD="bgcolor: transparent, align: right"]
0.72
[/TD]
[TD="bgcolor: transparent, align: right"]
0.01
[/TD]
[TD="bgcolor: transparent, align: right"]
0.04
[/TD]
[TD="bgcolor: transparent, align: right"]
0.21
[/TD]
[TD="bgcolor: #FFFFCC, align: right"]
0.00
[/TD]
[/TR]
[/TABLE]
Except for the South Asian component that comes with the Georgian Jews, it fits quite nicely.
Otherwise, you appear to be a living proof of Jewish settlement in Eastern Europe (Galizia) during Khazar times.