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Eurogenes Eurogenes J-Test

Joey D

Joey D

Regular Member
Messages
220
Reaction score
25
Points
0
Ethnic group
East Sicily
Y-DNA haplogroup
T1a1
mtDNA haplogroup
H
I was just playing around with the Eurogenes J-Test K14, which is meant to focus on Ashkenazi ancestry, and came up with the following results:

[TABLE="width: 489"]
[TR]
[TD]EAST_MED[/TD]
[TD]30.09[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]WEST_MED[/TD]
[TD]17.09[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]WEST_ASIAN[/TD]
[TD]12.36[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]ATLANTIC[/TD]
[TD]9.6[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]NORTH-CENTRAL_EURO[/TD]
[TD]9.07[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]MIDDLE_EASTERN[/TD]
[TD]7.6[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]ASHKENAZI[/TD]
[TD]6.15[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]SOUTH_BALTIC[/TD]
[TD]4.53[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]EAST_EURO[/TD]
[TD]2.53[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD="colspan: 2"]Using 1 population approximation:[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]1 GR @ 3.067442[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD="colspan: 2"]2 South_Italian_&_Sicilian @ 4.387729[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]3 Tuscan @ 15.125918[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]4 TR @ 20.270048[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD="colspan: 2"]5 North_Italian @ 20.810638[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD]6 RO @ 23.704042[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD="colspan: 2"]Using 4 populations approximation:[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD="colspan: 4"]1 GR + GR + GR + South_Italian_&_Sicilian @ 2.241637[/TD]
[/TR]
[TR]
[TD="colspan: 4"]2 GR + GR + South_Italian_&_Sicilian + South_Italian_&_Sicilian @ 2.288302[/TD]
[/TR]
[TR]
[TD="colspan: 2"]3 GR + GR + GR + GR @ 3.067442[/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD="colspan: 4"]4 GR + South_Italian_&_Sicilian + South_Italian_&_Sicilian + South_Italian_&_Sicilian @ 3.147110[/TD]
[/TR]
[TR]
[TD="colspan: 4"]5 Druze + GR + North_Italian + South_Italian_&_Sicilian @ 3.328096[/TD]
[/TR]
[TR]
[TD="colspan: 3"]6 GR + GR + GR + Tuscan @ 3.337391[/TD]
[TD][/TD]
[/TR]
[/TABLE]


Nothing unusual in any of that, but I was just wondering what TR stands for. Anyone know?
 
Does it stand for Trabzon in Anatolia?
 
Jtest 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

Jtest Oracle population reference data revised 06 Nov 2012.

Admix Results (sorted):

# Population Percent
1 ATLANTIC 18.47
2 NORTH-CENTRAL_EURO 17.71
3 WEST_MED 17.65
4 EAST_MED 14.32
5 SOUTH_BALTIC 11.19
6 EAST_EURO 8.31
7 ASHKENAZI 6.34
8 WEST_ASIAN 6.02


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

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

Least-squares method.

Using 1 population approximation:
1 North_Italian @ 8.162397
2 Serbian @ 11.635802
3 RO @ 11.685098
4 FR @ 11.846078
5 AT @ 12.188935
6 PT @ 12.239955
7 Tuscan @ 12.644043
8 ES @ 14.035453
9 HU @ 15.010031
10 West_&_Central_German @ 17.017729
11 NL @ 18.326416
12 Cornish @ 19.453119
13 English @ 19.945911
14 Orcadian @ 22.023157
15 DK @ 22.424776
16 IE @ 22.442537
17 South_Italian_&_Sicilian @ 23.262260
18 Scottish @ 23.651217
19 NO @ 24.015430
20 South_&_Central_Swedish @ 24.166956

Using 2 populations approximation:
1 50% AT +50% Tuscan @ 3.170818


Using 3 populations approximation:
1 50% AT +25% Tuscan +25% Tuscan @ 3.170818


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++
1 NL + North_Italian + RO + Tuscan @ 2.863931
2 DK + North_Italian + RO + Tuscan @ 3.030746
3 North_Italian + RO + Tuscan + West_&_Central_German @ 3.050653
4 English + North_Italian + RO + Tuscan @ 3.052539
5 AT + AT + Tuscan + Tuscan @ 3.170818
6 Cornish + North_Italian + RO + Tuscan @ 3.173956
7 AT + FR + RO + Tuscan @ 3.199459
8 AT + ES + RO + Tuscan @ 3.292195
9 AT + AT + North_Italian + Tuscan @ 3.321463
10 NO + North_Italian + RO + Tuscan @ 3.331575
11 NL + North_Italian + Serbian + Tuscan @ 3.392926
12 AT + PT + RO + Tuscan @ 3.402045
13 DK + RO + Tuscan + Tuscan @ 3.434940
14 NO + RO + Tuscan + Tuscan @ 3.443808
15 North_Italian + Orcadian + RO + Tuscan @ 3.456936
16 North_Italian + Serbian + Tuscan + West_&_Central_German @ 3.457947
17 NL + RO + Tuscan + Tuscan @ 3.488717
18 NL + North_Italian + North_Italian + RO @ 3.492080
19 FR + RO + Serbian + Tuscan @ 3.495113
20 AT + ES + Serbian + Tuscan @ 3.499613

Done.
 
Me:

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"] 1 [/TD]
[TD="width: 120"] EAST_MED [/TD]
[TD="width: 50, align: right"] 22.98 [/TD]

[TD="width: 30, align: center"] 2 [/TD]
[TD="width: 120"] WEST_MED [/TD]
[TD="width: 50, align: right"] 22.21 [/TD]

[TD="width: 30, align: center"] 3 [/TD]
[TD="width: 120"] NORTH-CENTRAL_EURO [/TD]
[TD="width: 50, align: right"] 14.93 [/TD]

[TD="width: 30, align: center"] 4 [/TD]
[TD="width: 120"] ATLANTIC [/TD]
[TD="width: 50, align: right"] 10.65 [/TD]

[TD="width: 30, align: center"] 5 [/TD]
[TD="width: 120"] SOUTH_BALTIC [/TD]
[TD="width: 50, align: right"] 8.24 [/TD]

[TD="width: 30, align: center"] 6 [/TD]
[TD="width: 120"] WEST_ASIAN [/TD]
[TD="width: 50, align: right"] 7.88 [/TD]

[TD="width: 30, align: center"] 7 [/TD]
[TD="width: 120"] ASHKENAZI [/TD]
[TD="width: 50, align: right"] 6.57 [/TD]

[TD="width: 30, align: center"] 8 [/TD]
[TD="width: 120"] EAST_EURO [/TD]
[TD="width: 50, align: right"] 5.03 [/TD]

[TD="width: 30, align: center"] 9 [/TD]
[TD="width: 120"] MIDDLE_EASTERN [/TD]
[TD="width: 50, align: right"] 1.51 [/TD]


[FONT=&quot]Finished reading population data. 78 populations found.[/FONT]
[FONT=&quot]14 components mode.[/FONT]

[FONT=&quot]--------------------------------[/FONT]

[FONT=&quot]Least-squares method.[/FONT]

[FONT=&quot]Using 1 population approximation:[/FONT]
[FONT=&quot]1 Tuscan @ 8.166746[/FONT]
[FONT=&quot]2 North_Italian @ 12.043141[/FONT]
[FONT=&quot]3 South_Italian_&_Sicilian @ 14.057807[/FONT]

[FONT=&quot]Using 2 populations approximation:[/FONT]
[FONT=&quot]1 50% GR +50% North_Italian @ 7.843652[/FONT]


[FONT=&quot]Using 3 populations approximation:[/FONT]
[FONT=&quot]1 50% AT +25% Druze +25% Sardinian @ 6.337323[/FONT]


[FONT=&quot]Using 4 populations approximation:[/FONT]
[FONT=&quot]+++++++++++++++++++++++++++++++++++++++++++++++++++[/FONT]
[FONT=&quot]1 Druze + RO + Sardinian + West_&_Central_German @ 5.734163[/FONT]
[FONT=&quot]2 Druze + NL + RO + Sardinian @ 5.844057[/FONT]
[FONT=&quot]3 Druze + English + RO + Sardinian @ 5.903175[/FONT]

My Father:


Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]EAST_MED[/TD]
[TD="width: 50, align: right"]23.17[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]WEST_MED[/TD]
[TD="width: 50, align: right"]19.99[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]ATLANTIC[/TD]
[TD="width: 50, align: right"]13.11[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]SOUTH_BALTIC[/TD]
[TD="width: 50, align: right"]11.67[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]NORTH-CENTRAL_EURO[/TD]
[TD="width: 50, align: right"]11.48[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]WEST_ASIAN[/TD]
[TD="width: 50, align: right"]6.79[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]ASHKENAZI[/TD]
[TD="width: 50, align: right"]6.02[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]MIDDLE_EASTERN[/TD]
[TD="width: 50, align: right"]3.97[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]EAST_EURO[/TD]
[TD="width: 50, align: right"]3.73[/TD]


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

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

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 8.976805
2 North_Italian @ 10.489556
3 South_Italian_&_Sicilian @ 12.837668


Using 2 populations approximation:
1 50% GR +50% North_Italian @ 5.169928


Using 3 populations approximation:
1 50% GR +25% PT +25% RO @ 4.931631


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++
1 Druze + LIT + Sardinian + Tuscan @ 4.563152
2 AT + Druze + RO + Sardinian @ 4.622757
3 GR + North_Italian + RO + Tuscan @ 4.655410

My Mother:

Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]EAST_MED[/TD]
[TD="width: 50, align: right"]19.62[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]WEST_MED[/TD]
[TD="width: 50, align: right"]18.97[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]NORTH-CENTRAL_EURO[/TD]
[TD="width: 50, align: right"]12.94[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]ATLANTIC[/TD]
[TD="width: 50, align: right"]11.38[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SOUTH_BALTIC[/TD]
[TD="width: 50, align: right"]10.49[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]WEST_ASIAN[/TD]
[TD="width: 50, align: right"]10.31[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]ASHKENAZI[/TD]
[TD="width: 50, align: right"]6.98[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]EAST_EURO[/TD]
[TD="width: 50, align: right"]6.32[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]MIDDLE_EASTERN[/TD]
[TD="width: 50, align: right"]3.00[/TD]


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

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

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 9.946098
2 North_Italian @ 11.117845
3 RO @ 12.297221

Using 2 populations approximation:
1 50% RO +50% Tuscan @ 5.611048


Using 3 populations approximation:
1 50% RO +25% South_Italian_&_Sicilian +25% Tuscan @ 4.490748


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++
1 Assyrian + AT + Sardinian + Serbian @ 4.368093
2 RO + RO + South_Italian_&_Sicilian + Tuscan @ 4.490748
3 Assyrian + EE + Sardinian + Tuscan @ 4.571834
 
Dibran said:
Me:

Population
EAST_MED

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"] 1 [/TD]

[TD="width: 50, align: right"] 22.98 [/TD]

[TD="width: 30, align: center"] 2 [/TD]
[TD="width: 120"] WEST_MED [/TD]
[TD="width: 50, align: right"] 22.21 [/TD]

[TD="width: 30, align: center"] 3 [/TD]
[TD="width: 120"] NORTH-CENTRAL_EURO [/TD]
[TD="width: 50, align: right"] 14.93 [/TD]

[TD="width: 30, align: center"] 4 [/TD]
[TD="width: 120"] ATLANTIC [/TD]
[TD="width: 50, align: right"] 10.65 [/TD]

[TD="width: 30, align: center"] 5 [/TD]
[TD="width: 120"] SOUTH_BALTIC [/TD]
[TD="width: 50, align: right"] 8.24 [/TD]

[TD="width: 30, align: center"] 6 [/TD]
[TD="width: 120"] WEST_ASIAN [/TD]
[TD="width: 50, align: right"] 7.88 [/TD]

[TD="width: 30, align: center"] 7 [/TD]
[TD="width: 120"] ASHKENAZI [/TD]
[TD="width: 50, align: right"] 6.57 [/TD]

[TD="width: 30, align: center"] 8 [/TD]
[TD="width: 120"] EAST_EURO [/TD]
[TD="width: 50, align: right"] 5.03 [/TD]

[TD="width: 30, align: center"] 9 [/TD]
[TD="width: 120"] MIDDLE_EASTERN [/TD]
[TD="width: 50, align: right"] 1.51 [/TD]


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

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

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 8.166746
2 North_Italian @ 12.043141
3 South_Italian_&_Sicilian @ 14.057807

Using 2 populations approximation:
1 50% GR +50% North_Italian @ 7.843652


Using 3 populations approximation:
1 50% AT +25% Druze +25% Sardinian @ 6.337323


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++
1 Druze + RO + Sardinian + West_&_Central_German @ 5.734163
2 Druze + NL + RO + Sardinian @ 5.844057
3 Druze + English + RO + Sardinian @ 5.903175

My Father:


Admix Results (sorted):

Population
EAST_MED

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]

[TD="width: 50, align: right"]23.17[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]WEST_MED[/TD]
[TD="width: 50, align: right"]19.99[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]ATLANTIC[/TD]
[TD="width: 50, align: right"]13.11[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]SOUTH_BALTIC[/TD]
[TD="width: 50, align: right"]11.67[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]NORTH-CENTRAL_EURO[/TD]
[TD="width: 50, align: right"]11.48[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]WEST_ASIAN[/TD]
[TD="width: 50, align: right"]6.79[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]ASHKENAZI[/TD]
[TD="width: 50, align: right"]6.02[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]MIDDLE_EASTERN[/TD]
[TD="width: 50, align: right"]3.97[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]EAST_EURO[/TD]
[TD="width: 50, align: right"]3.73[/TD]


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

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

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 8.976805
2 North_Italian @ 10.489556
3 South_Italian_&_Sicilian @ 12.837668


Using 2 populations approximation:
1 50% GR +50% North_Italian @ 5.169928


Using 3 populations approximation:
1 50% GR +25% PT +25% RO @ 4.931631


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++
1 Druze + LIT + Sardinian + Tuscan @ 4.563152
2 AT + Druze + RO + Sardinian @ 4.622757
3 GR + North_Italian + RO + Tuscan @ 4.655410

My Mother:

Admix Results (sorted):

Population
EAST_MED

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]

[TD="width: 50, align: right"]19.62[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]WEST_MED[/TD]
[TD="width: 50, align: right"]18.97[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]NORTH-CENTRAL_EURO[/TD]
[TD="width: 50, align: right"]12.94[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]ATLANTIC[/TD]
[TD="width: 50, align: right"]11.38[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SOUTH_BALTIC[/TD]
[TD="width: 50, align: right"]10.49[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]WEST_ASIAN[/TD]
[TD="width: 50, align: right"]10.31[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]ASHKENAZI[/TD]
[TD="width: 50, align: right"]6.98[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]EAST_EURO[/TD]
[TD="width: 50, align: right"]6.32[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]MIDDLE_EASTERN[/TD]
[TD="width: 50, align: right"]3.00[/TD]


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

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

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 9.946098
2 North_Italian @ 11.117845
3 RO @ 12.297221

Using 2 populations approximation:
1 50% RO +50% Tuscan @ 5.611048


Using 3 populations approximation:
1 50% RO +25% South_Italian_&_Sicilian +25% Tuscan @ 4.490748


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++
1 Assyrian + AT + Sardinian + Serbian @ 4.368093
2 RO + RO + South_Italian_&_Sicilian + Tuscan @ 4.490748
3 Assyrian + EE + Sardinian + Tuscan @ 4.571834
Click to expand...

Not good fits, but that's to expected even in a good calculator because you're not, in fact, Italian.:)

Do you know if there are Albanian reference samples? If there aren't, then it's not a terrible job, although you can ignore that Ashkenazi percentage.
 
what does IQ stand for?
# Primary Population (source) Secondary Population (source) Distance
1 92.4% NL + 7.6% Armenian @ 2.22
2 93% NL + 7% GE @ 2.22
3 91.4% NL + 8.6% TR @ 2.4
4 89.3% NL + 10.7% South_Italian_&_Sicilian @ 2.57
5 93% NL + 7% Assyrian @ 2.6
6 90% NL + 10% GR @ 2.64
7 76.6% English + 23.4% RO @ 2.66
8 92.8% NL + 7.2% Kurdish @ 2.73
9 93.4% NL + 6.6% Mandean @ 2.74
10 91.2% NL + 8.8% AJ @ 2.82
11 92.4% NL + 7.6% Lezgin @ 2.83
12 92.9% NL + 7.1% IR @ 2.87
13 86.4% NL + 13.6% Tuscan @ 2.9
14 83.8% NL + 16.2% North_Italian @ 2.91
15 95.1% West_&_Central_German + 4.9% GE @ 2.91
16 87.3% West_&_Central_German + 12.7% North_Italian @ 2.98
17 95% West_&_Central_German + 5% Armenian @ 3.01
18 73.8% English + 26.2% Serbian @ 3.02
19 93.5% West_&_Central_German + 6.5% AJ @ 3.02
20 93.6% NL + 6.4% IQ @ 3.03
 
# Population Percent

1 MIDDLE_EASTERN 47.88
2 EAST_MED 35.89
3 ASHKENAZI 4.43
4 EAST_AFRICAN 3.25
5 WEST_MED 3.12
6 SOUTH_ASIAN 2.48
7 WEST_ASIAN 2.32
8 SIBERIAN 0.31
9 EAST_ASIAN 0.27
10 WEST_AFRICAN 0.03

# Population (source) Distance

1 Bedouin 10.15
2 Samaritan 23.56
3 IQ 26.05
4 Algerian 31.94
5 Druze 34.44
6 Mandean 34.56
7 Assyrian 38.31
8 Moroccan 38.57
9 South_Italian_&_Sicilian 39.78
10 Mozabite_Berber 40.13
11 GR 41.45
12 TR 43.06
13 Kurdish 43.49
14 IR 43.82
15 Armenian 43.89
16 AJ 44.83
17 Tuscan 48.66
18 North_Italian 51.53
19 RO 52.06
20 Serbian 52.39

# Primary Population (source) Secondary Population (source) Distance
1 78% Bedouin + 22% Druze @ 3.1
2 71.2% Bedouin + 28.8% Samaritan @ 3.85
3 73.9% Bedouin + 26.1% IQ @ 4.57
4 79.3% Bedouin + 20.7% Mandean @ 4.77
5 81.1% Bedouin + 18.9% Assyrian @ 4.92
6 83.3% Bedouin + 16.7% Kurdish @ 5.32
7 82.7% Bedouin + 17.3% GR @ 5.34
8 83.5% Bedouin + 16.5% IR @ 5.37
9 83.4% Bedouin + 16.6% TR @ 5.52
10 83.7% Bedouin + 16.3% Armenian @ 5.55
11 82.5% Bedouin + 17.5% South_Italian_&_Sicilian @ 5.8
12 85% Bedouin + 15% AJ @ 6.43
13 88.3% Bedouin + 11.7% Brahui @ 6.61
14 88.5% Bedouin + 11.5% Balochi @ 6.68
15 86.4% Bedouin + 13.6% Tuscan @ 6.73
16 88.7% Bedouin + 11.3% GE @ 7.04
17 87.6% Bedouin + 12.4% RO @ 7.07
18 89.1% Bedouin + 10.9% Lezgin @ 7.23
19 87.8% Bedouin + 12.2% North_Italian @ 7.24
20 88.1% Bedouin + 11.9% Serbian @ 7.34

IQ stands for Iraq.
 
Mother-In-Law

Admix Results (sorted):

# Population Percent
1 ATLANTIC 27.47
2 NORTH-CENTRAL_EURO 27.34
3 SOUTH_BALTIC 14.95
4 WEST_MED 9.56
5 EAST_EURO 7.47
6 EAST_MED 5.52
7 WEST_ASIAN 3.89
8 ASHKENAZI 2.26
9 WEST_AFRICAN 1.12


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

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

Least-squares method.

Using 1 population approximation:
1 West_&_Central_German @ 5.684823
2 English @ 5.746151
3 NL @ 5.921762
4 Cornish @ 6.209104
5 Orcadian @ 6.896928
6 IE @ 7.881264
7 Scottish @ 8.054618
8 DK @ 9.211998
9 NO @ 10.689075
10 South_&_Central_Swedish @ 10.878337
11 FR @ 11.816156
12 AT @ 12.978308
13 North_Swedish @ 15.217869
14 HU @ 18.925611
15 PT @ 19.551989
16 ES @ 20.024239
17 Serbian @ 21.450283
18 North_Italian @ 23.134184
19 South_Finnish @ 23.798943
20 RO @ 24.570669

Using 2 populations approximation:
1 50% Cornish +50% West_&_Central_German @ 5.089766


Using 3 populations approximation:
1 50% Cornish +25% West_&_Central_German +25% West_&_Central_German @ 5.089766


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++
1 English + Scottish + West_&_Central_German + West_&_Central_German @ 4.922084
2 Scottish + West_&_Central_German + West_&_Central_German + West_&_Central_German @ 4.955482
3 FR + Scottish + West_&_Central_German + West_&_Central_German @ 4.992646
4 Cornish + Scottish + West_&_Central_German + West_&_Central_German @ 4.998322
5 Cornish + English + West_&_Central_German + West_&_Central_German @ 5.043334
6 English + FR + Scottish + West_&_Central_German @ 5.047294
7 North_Italian + Scottish + Scottish + South_&_Central_Swedish @ 5.053798
8 AT + English + English + Scottish @ 5.078970
9 NL + Scottish + West_&_Central_German + West_&_Central_German @ 5.088163
10 Cornish + Cornish + West_&_Central_German + West_&_Central_German @ 5.089766
11 Cornish + Orcadian + West_&_Central_German + West_&_Central_German @ 5.132027
12 English + Orcadian + West_&_Central_German + West_&_Central_German @ 5.132769
13 FR + NL + Scottish + West_&_Central_German @ 5.153668
14 English + English + Scottish + West_&_Central_German @ 5.165564
15 FR + Orcadian + Scottish + West_&_Central_German @ 5.166962
16 Cornish + West_&_Central_German + West_&_Central_German + West_&_Central_German @ 5.171005
17 English + NL + Scottish + West_&_Central_German @ 5.172164
18 FR + Scottish + Scottish + West_&_Central_German @ 5.180588
19 English + English + West_&_Central_German + West_&_Central_German @ 5.191317
20 Cornish + English + English + West_&_Central_German @ 5.193468

Done.

Elapsed time 0.0764 seconds.
 
Wheal said:
what does IQ stand for?
# Primary Population (source) Secondary Population (source) Distance
1 92.4% NL + 7.6% Armenian @ 2.22
2 93% NL + 7% GE @ 2.22
3 91.4% NL + 8.6% TR @ 2.4
4 89.3% NL + 10.7% South_Italian_&_Sicilian @ 2.57
5 93% NL + 7% Assyrian @ 2.6
6 90% NL + 10% GR @ 2.64
7 76.6% English + 23.4% RO @ 2.66
8 92.8% NL + 7.2% Kurdish @ 2.73
9 93.4% NL + 6.6% Mandean @ 2.74
10 91.2% NL + 8.8% AJ @ 2.82
11 92.4% NL + 7.6% Lezgin @ 2.83
12 92.9% NL + 7.1% IR @ 2.87
13 86.4% NL + 13.6% Tuscan @ 2.9
14 83.8% NL + 16.2% North_Italian @ 2.91
15 95.1% West_&_Central_German + 4.9% GE @ 2.91
16 87.3% West_&_Central_German + 12.7% North_Italian @ 2.98
17 95% West_&_Central_German + 5% Armenian @ 3.01
18 73.8% English + 26.2% Serbian @ 3.02
19 93.5% West_&_Central_German + 6.5% AJ @ 3.02
20 93.6% NL + 6.4% IQ @ 3.03
Click to expand...

Iraq, I think. These Oracle results are so misleading. All it's saying is that you're pulled a little bit more South East than the typical person from the Netherlands.

@Ironside,
Terrible fits for you.
 
Angela said:
@Ironside,
Terrible fits for you.
Click to expand...

Yeah, I know, but to be fair all calculators couldn't solve the enigma that is me hahaha.

It's just a Bedouin shifted north.
 
Me

Admix Results (sorted):

# Population Percent
1 NORTH-CENTRAL_EURO 25.29
2 ATLANTIC 23.34
3 SOUTH_BALTIC 11.87
4 WEST_MED 11.65
5 EAST_EURO 11.36
6 EAST_MED 6.50
7 WEST_ASIAN 5.79
8 ASHKENAZI 2.56
9 MIDDLE_EASTERN 1.12


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

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

Least-squares method.

Using 1 population approximation:
1 West_&_Central_German @ 4.071207
2 NL @ 5.232255
3 English @ 7.060722
4 Cornish @ 7.602584
5 Orcadian @ 8.931157
6 DK @ 9.191463
7 IE @ 9.436557
8 AT @ 9.467273
9 FR @ 9.874465
10 NO @ 10.848557
11 Scottish @ 11.094979
12 South_&_Central_Swedish @ 11.348097
13 North_Swedish @ 14.524598
14 HU @ 15.508834
15 Serbian @ 16.540457
16 PT @ 17.076302
17 ES @ 18.054756
18 North_Italian @ 19.876646
19 RO @ 20.169868
20 South_Finnish @ 22.413877

Using 2 populations approximation:
1 50% West_&_Central_German +50% West_&_Central_German @ 4.071207


Using 3 populations approximation:
1 50% IE +25% North_Swedish +25% Tuscan @ 2.101825


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++
1 IE + NL + North_Swedish + Tuscan @ 1.699145
2 IE + North_Swedish + Tuscan + West_&_Central_German @ 1.751061
3 English + IE + North_Swedish + Tuscan @ 1.881683
4 IE + NO + NO + Tuscan @ 1.987428
5 IE + NO + South_&_Central_Swedish + Tuscan @ 2.002522
6 IE + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 2.005332
7 IE + NO + Tuscan + West_&_Central_German @ 2.008247
8 NL + North_Swedish + Orcadian + Tuscan @ 2.011206
9 DK + IE + South_&_Central_Swedish + Tuscan @ 2.066249
10 North_Swedish + Orcadian + Tuscan + West_&_Central_German @ 2.073035
11 IE + North_Swedish + Orcadian + Tuscan @ 2.088562
12 IE + NL + South_&_Central_Swedish + Tuscan @ 2.096090
13 IE + IE + North_Swedish + Tuscan @ 2.101825
14 NL + North_Swedish + Scottish + Tuscan @ 2.134295
15 English + North_Swedish + Orcadian + Tuscan @ 2.135015
16 IE + South_&_Central_Swedish + South_&_Central_Swedish + Tuscan @ 2.139671
17 DK + IE + North_Swedish + Tuscan @ 2.139960
18 IE + NL + NO + Tuscan @ 2.154949
19 North_Swedish + Scottish + Tuscan + West_&_Central_German @ 2.171458
20 DK + IE + NO + Tuscan @ 2.172866
 
My Brother

Admix Results (sorted):

# Population Percent
1 NORTH-CENTRAL_EURO 24.66
2 ATLANTIC 23.70
3 EAST_EURO 12.62
4 SOUTH_BALTIC 12.58
5 WEST_MED 12.48
6 ASHKENAZI 5.16
7 WEST_ASIAN 4.82
8 EAST_MED 2.76
9 SOUTH_ASIAN 1.11

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

Least-squares method.

Using 1 population approximation:
1 NL @ 4.648141
2 West_&_Central_German @ 4.967678
3 Cornish @ 6.340489
4 English @ 6.566448
5 Orcadian @ 7.627528
6 DK @ 7.842877
7 IE @ 8.305030
8 NO @ 9.394057
9 AT @ 9.850455
10 Scottish @ 9.947353
11 South_&_Central_Swedish @ 10.084280
12 FR @ 10.559003
13 North_Swedish @ 13.257466
14 HU @ 15.639114
15 PT @ 18.349482
16 Serbian @ 18.473440
17 ES @ 18.944820
18 South_Finnish @ 21.009403
19 RO @ 21.706125
20 North_Italian @ 21.952274

Using 2 populations approximation:
1 50% AT +50% IE @ 4.239411

Using 3 populations approximation:
1 50% NO +25% North_Italian +25% Orcadian @ 3.753988

Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++
1 AT + FR + IE + NO @ 3.426720
2 AT + DK + FR + IE @ 3.456467
3 DK + FR + HU + IE @ 3.509847
4 AT + FR + NO + Orcadian @ 3.536028
5 AT + DK + FR + Orcadian @ 3.540916
6 AT + FR + IE + South_&_Central_Swedish @ 3.634360
7 DK + FR + HU + Orcadian @ 3.660428
8 AT + DK + DK + FR @ 3.663828
9 AT + Cornish + FR + NO @ 3.667149
10 IE + NO + NO + North_Italian @ 3.702612
11 AT + Cornish + NL + NL @ 3.725550
12 AT + DK + FR + NO @ 3.731890
13 FR + HU + IE + NO @ 3.744875
14 DK + IE + North_Italian + North_Swedish @ 3.745740
15 AT + English + FR + NO @ 3.751749
16 NO + NO + North_Italian + Orcadian @ 3.753988
17 DK + FR + HU + Scottish @ 3.756085
18 AT + FR + NO + Scottish @ 3.758859
19 DK + IE + NO + North_Italian @ 3.763170
20 AT + FR + NL + NO @ 3.767783
 
Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]SOUTH_ASIAN[/TD]
[TD="width: 50, align: right"]49.83[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]WEST_ASIAN[/TD]
[TD="width: 50, align: right"]24.47[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]EAST_EURO[/TD]
[TD="width: 50, align: right"]13.82[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]EAST_MED[/TD]
[TD="width: 50, align: right"]6.63[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]ASHKENAZI[/TD]
[TD="width: 50, align: right"]1.54[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]ATLANTIC[/TD]
[TD="width: 50, align: right"]1.41[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]SOUTH_BALTIC[/TD]
[TD="width: 50, align: right"]1.26[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]SIBERIAN[/TD]
[TD="width: 50, align: right"]1.05

[/TD]
 
Angela said:
Not good fits, but that's to expected even in a good calculator because you're not, in fact, Italian.:)

Do you know if there are Albanian reference samples? If there aren't, then it's not a terrible job, although you can ignore that Ashkenazi percentage.
Click to expand...

To my knowledge, no Albanian sample for this calc. I suppose then, it took the closest fit.
 
Angela said:
Not good fits, but that's to expected even in a good calculator because you're not, in fact, Italian.:)

Do you know if there are Albanian reference samples? If there aren't, then it's not a terrible job, although you can ignore that Ashkenazi percentage.
Click to expand...

I find Gedrosia K13 most accurate. My moms results are the most off, perhaps shes more mixed. On AncestryDNA with the recent update she is 75% Greece/Albania/Turkey, 20% Northeast Italy/Croatia/Bosnia, and 3% Caucasus and 1% Ashkenazi

Admix Results (sorted):

Population
CHG_EEF

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]

[TD="align: right"]38.43[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]ANATOLIA_NEOLITHIC[/TD]
[TD="width: 50, align: right"]22.29[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]NATUFIAN[/TD]
[TD="width: 50, align: right"]11.01[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]IRAN_NEOLITHIC[/TD]
[TD="width: 50, align: right"]10.25[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SHG_WHG[/TD]
[TD="width: 50, align: right"]8.72[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]EHG[/TD]
[TD="width: 50, align: right"]8.13[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]POLAR[/TD]
[TD="width: 50, align: right"]1.17[/TD]


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Albanian @ 2.072113
2 Greek @ 3.836894
3 Bulgarian @ 6.713923


Using 2 populations approximation:
1 50% Albanian +50% Albanian @ 2.072113


Using 3 populations approximation:
1 50% Albanian +25% Albanian +25% Greek @ 1.963928


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 Albanian + Albanian + Albanian + Greek @ 1.963928

Father:

[FONT=&quot]gedrosia K13 Oracle[/FONT]

Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]CHG_EEF[/TD]
[TD="width: 50, align: right"]38.20[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]ANATOLIA_NEOLITHIC[/TD]
[TD="width: 50, align: right"]23.87[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]NATUFIAN[/TD]
[TD="width: 50, align: right"]10.80[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]IRAN_NEOLITHIC[/TD]
[TD="width: 50, align: right"]9.97[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]EHG[/TD]
[TD="width: 50, align: right"]8.27[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]SHG_WHG[/TD]
[TD="width: 50, align: right"]6.43[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]POLAR[/TD]
[TD="width: 50, align: right"]2.47[/TD]


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Albanian @ 3.149135
2 Greek @ 5.181849
3 Sicilian @ 8.233935

Using 2 populations approximation:
1 50% Albanian +50% Albanian @ 3.149135


Using 3 populations approximation:
1 50% Albanian +25% Albanian +25% Albanian @ 3.149135


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 Albanian + Albanian + Albanian + Albanian @ 3.149135

My Mother:

[FONT=&quot]gedrosia K13 Oracle[/FONT]

Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]CHG_EEF[/TD]
[TD="width: 50, align: right"]36.67[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]ANATOLIA_NEOLITHIC[/TD]
[TD="width: 50, align: right"]20.81[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]IRAN_NEOLITHIC[/TD]
[TD="width: 50, align: right"]11.82[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]NATUFIAN[/TD]
[TD="width: 50, align: right"]11.06[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SHG_WHG[/TD]
[TD="width: 50, align: right"]9.04[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]EHG[/TD]
[TD="width: 50, align: right"]8.34[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]SUB_SAHARAN[/TD]
[TD="width: 50, align: right"]1.27[/TD]


Finished reading population data. 145 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Greek @ 2.912852
2 Albanian @ 3.704404
3 Sicilian @ 7.101740

Using 2 populations approximation:
1 50% Bulgarian +50% Sicilian @ 2.524160


Using 3 populations approximation:
1 50% Albanian +25% Cypriot +25% French @ 2.473882


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 English + Jew_Moroccan + Kumyk + Sardinian @ 1.920337

 
I'm close to BA Levant (Kit M291439)

# Population Percent
1 MIDDLE_EASTERN 45.72
2 EAST_MED 37.48
3 WEST_MED 7.85
4 ASHKENAZI 4.45
5 WEST_ASIAN 4.06
6 EAST_ASIAN 0.45

# Population (source) Distance
1 Bedouin 13.81
2 Samaritan 19.66
3 IQ 24.57
4 Algerian 31.39
5 Druze 31.65
6 Mandean 32.28
7 Assyrian 35.6
8 South_Italian_&_Sicilian 36.76
9 Moroccan 37.55
10 GR 38.25
11 Mozabite_Berber 39.53
12 TR 40.65
13 Armenian 41.02
14 Kurdish 41.74
15 IR 42.4
16 AJ 43.04
17 Tuscan 45.9
18 North_Italian 49.01
19 RO 50.09
20 Serbian 50.66

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 59.2% Bedouin + 40.8% Samaritan @ 3.65
2 71% Bedouin + 29% Druze @ 5.29
3 75.7% Bedouin + 24.3% GR @ 6.71
4 74.5% Bedouin + 25.5% Assyrian @ 6.94
5 72.8% Bedouin + 27.2% Mandean @ 7.28
6 77.6% Bedouin + 22.4% Armenian @ 7.38
7 75.5% Bedouin + 24.5% South_Italian_&_Sicilian @ 7.39
8 67.1% Bedouin + 32.9% IQ @ 7.79
9 77.9% Bedouin + 22.1% TR @ 7.89
10 78.9% Bedouin + 21.1% Kurdish @ 8.45
11 80.8% Bedouin + 19.2% Tuscan @ 8.7
12 79.6% Bedouin + 20.4% IR @ 8.82
13 80.5% Bedouin + 19.5% AJ @ 9.31
14 82.7% Bedouin + 17.3% North_Italian @ 9.48
15 86.2% Bedouin + 13.8% Sardinian @ 9.59
16 84.6% Bedouin + 15.4% GE @ 9.63
17 83.5% Bedouin + 16.5% RO @ 9.79
18 84.3% Bedouin + 15.7% Serbian @ 10.24
19 86.1% Bedouin + 13.9% Lezgin @ 10.42
20 85% Bedouin + 15% PT @ 10.6
 
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