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Eurasia K10 CHG Calculator

SO it seems like my largest distance from Italians would be attributed the Anatolian Farmer. While the SW Asian is increased, it is outweighed by NW European to pull me farther north.

Anyone wanna share GEDmatch kit #s?
 
[h=2]Eurogenes K10 Admixture Proportions[/h]
This utility uses the Eurogenes K10 model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Eurogenes blog. We appreciate him making this excellent tool available here.

A map showing the K10 populations is available HERE.

Population descriptions are available HERE.

Kit Number: T220060 Elapsed Time: 12.53 seconds



[TD="bgcolor: #ffffff"]Population
T220060_5F6FC5.gif


[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]South Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]4.54[/TD]

[TD="bgcolor: #ffffff"]Caucasus[/TD]
[TD="bgcolor: #ffffff, align: right"]40.68[/TD]

[TD="bgcolor: #ffffff"]Southwest Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]13.62[/TD]

[TD="bgcolor: #ffffff"]North Amerindian + Arctic[/TD]
[TD="bgcolor: #ffffff, align: right"]0.77[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #ffffff, align: right"]2.10[/TD]

[TD="bgcolor: #ffffff"]Mediterranean[/TD]
[TD="bgcolor: #ffffff, align: right"]20.45[/TD]

[TD="bgcolor: #ffffff"]East Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]3.72[/TD]

[TD="bgcolor: #ffffff"]West African[/TD]
[TD="bgcolor: #ffffff, align: right"]0.45[/TD]

[TD="bgcolor: #ffffff"]East European[/TD]
[TD="bgcolor: #ffffff, align: right"]2.56[/TD]

[TD="bgcolor: #ffffff"]North Atlantic[/TD]
[TD="bgcolor: #ffffff, align: right"]11.10[/TD]

[/TD]
[TD="width: 25"] [/TD]
 
Kit Num: T220060
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
[h=2]Gedmatch.Com[/h][h=2]Eurasia K10 CHG 4-Ancestors Oracle[/h]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.

Eurasia K10 CHG-NAF Oracle

Admix Results (sorted):

Population

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

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

[TD="align: center"]1[/TD]
[TD="width: 120"]CHG[/TD]
[TD="width: 50, align: right"]35.51[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Anatolian_Farmers[/TD]
[TD="width: 50, align: right"]22.90[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]SW_Asian[/TD]
[TD="width: 50, align: right"]13.87[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]WHG[/TD]
[TD="width: 50, align: right"]11.32[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]E_Asian[/TD]
[TD="width: 50, align: right"]5.19[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]S_Indian[/TD]
[TD="width: 50, align: right"]4.37[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]EHG[/TD]
[TD="width: 50, align: right"]3.19[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]W_African[/TD]
[TD="width: 50, align: right"]1.53[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]Amerindian[/TD]
[TD="width: 50, align: right"]1.09[/TD]

[TD="width: 30, align: center"]10[/TD]
[TD="width: 120"]Papuan[/TD]
[TD="width: 50, align: right"]1.03[/TD]


Finished reading population data. 134 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Turkish @ 5.802092
2 Cypriot @ 12.812529
3 Azeri @ 13.102929
4 Lebanese @ 14.959921
5 Armenian @ 15.822176
6 Maltese @ 16.040155
7 Kumyk @ 16.244715
8 Sicilian @ 16.453440
9 Syrian @ 16.512037
10 Kurd_N @ 16.543495
11 Iranian @ 16.632446
12 Georgian_Jew @ 16.984867
13 Iranian_Jew @ 17.608955
14 Iraqi_Jew @ 17.688963
15 Adygei @ 18.047318
16 Kurd_C @ 18.150745
17 Assyrian @ 18.178423
18 Jordanian @ 18.359711
19 Greek @ 18.535410
20 Kurd_E @ 19.779049

Using 2 populations approximation:
1 50% Azeri +50% Sicilian @ 4.497573


Using 3 populations approximation:
1 50% Georgian_Jew +25% Sardinian +25% Tajik_Afghan @ 1.847028


Using 4 populations approximation:
1 Abkhasian + Jordanian + Sardinian + Tajik_Afghan @ 1.643381
2 Georgian + Sardinian + Syrian + Tajik_Afghan @ 1.691851
3 Georgian + Jordanian + Sardinian + Tajik_Afghan @ 1.737455
4 Abkhasian + Sardinian + Syrian + Tajik_Afghan @ 1.829912
5 Georgian_Jew + Georgian_Jew + Sardinian + Tajik_Afghan @ 1.847028
6 Assyrian + Kurd_E + Sardinian + Tajik_Afghan @ 1.936187
7 Armenian + Georgian_Jew + Sardinian + Tajik_Afghan @ 2.015904
8 Assyrian + Maltese + Maltese + Tajik_Afghan @ 2.016412
9 Assyrian + Kurd_N + Sardinian + Uzbek_Afghan @ 2.019221
10 Abkhasian + Sardinian + Syrian + Uzbek_Afghan @ 2.055185
11 Georgian_Jew + Iranian_Jew + Sardinian + Tajik_Afghan @ 2.056141
12 Abkhasian + Lebanese + Sardinian + Tajik_Afghan @ 2.077810
13 Abkhasian + Jordanian + Sardinian + Uzbek_Afghan @ 2.078117
14 Assyrian + Kurd_N + Sardinian + Tajik_Afghan @ 2.093575
15 Assyrian + Georgian_Jew + Sardinian + Tajik_Afghan @ 2.103527
16 Georgian + Lebanese + Sardinian + Tajik_Afghan @ 2.108872
17 Armenian + Iranian_Jew + Sardinian + Tajik_Afghan @ 2.117098
18 Assyrian + Maltese + Sicilian + Tajik_Afghan @ 2.120106
19 Georgian + Sardinian + Syrian + Uzbek_Afghan @ 2.130372
20 Assyrian + Kurd_E + Sardinian + Uzbek_Afghan @ 2.168447

Done.

Elapsed time 0.1799 seconds.
 
Admix Results (sorted):

Population

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

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

[TD="width: 30, align: center"]1[/TD]
[TD="width: 120"]WHG[/TD]
[TD="width: 50, align: right"]29.62[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]CHG[/TD]
[TD="width: 50, align: right"]24.26[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Anatolian_Farmers[/TD]
[TD="width: 50, align: right"]23.54[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]EHG[/TD]
[TD="width: 50, align: right"]11.11[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW_Asian[/TD]
[TD="width: 50, align: right"]10.19[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]E_Asian[/TD]
[TD="width: 50, align: right"]1.13[/TD]


Finished reading population data. 134 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Bulgarian @ 3.424818
2 Albanian @ 6.614699
3 Tuscan @ 8.375744
4 Greek @ 8.920164
5 Croatian @ 10.807011
6 Spanish @ 12.712125
7 French @ 13.165593
8 Sicilian @ 13.309276
9 Hungarian @ 14.393425
10 Maltese @ 15.352239
11 English @ 17.696091
12 French_South @ 18.063276
13 Czech @ 18.379564
14 Scottish @ 18.812256
15 Ukrainian @ 20.909435
16 Norwegian @ 21.019026
17 Icelandic @ 22.164186
18 Tatars @ 25.099380
19 Belarusian @ 25.411007
20 Russian @ 26.024563

Using 2 populations approximation:
1 50% Hungarian +50% Sicilian @ 3.262141


Using 3 populations approximation:
1 50% Bulgarian +25% Cypriot +25% Finnish @ 2.634401


Using 4 populations approximation:
1 Cypriot + French_South + RISE_baSin + Tuscan @ 1.791443
2 French + Georgian_Jew + RISE_baSin + Sardinian @ 1.831666
3 Albanian + Cypriot + French_South + RISE_baSin @ 1.895823
4 English + Iraqi_Jew + RISE_baSin + Sardinian @ 1.985417
5 French + Iranian_Jew + RISE_baSin + Sardinian @ 2.010339
6 Armenian + French + RISE_baSin + Sardinian @ 2.022859
7 Cypriot + French_South + Greek + RISE_baSin @ 2.071370
8 RISE_baSin + Sicilian + Tuscan + Tuscan @ 2.075964
9 French + Iraqi_Jew + RISE_baSin + Sardinian @ 2.130060
10 Hungarian + Iraqi_Jew + RISE_baSin + Sardinian @ 2.136415
11 Assyrian + Czech + RISE_baSin + Sardinian @ 2.147487
12 French_South + Georgian_Jew + RISE_baSin + Sardinian @ 2.147763
13 Armenian + Croatian + RISE_baSin + Sardinian @ 2.205421
14 Croatian + Iraqi_Jew + RISE_baSin + Sardinian @ 2.214748
15 Assyrian + Hungarian + RISE_baSin + Sardinian @ 2.215514
16 Assyrian + RISE_baSin + Sardinian + Scottish @ 2.273029
17 Czech + Iraqi_Jew + RISE_baSin + Sardinian @ 2.276910
18 Assyrian + English + RISE_baSin + Sardinian @ 2.281863
19 Albanian + RISE_baSin + Sicilian + Tuscan @ 2.298608
20 Croatian + Georgian_Jew + RISE_baSin + Sardinian @ 2.308246
 
(Northern Italian)

Father
[TABLE="width: 0"]
[TR]
[TD="align: center"]#[/TD]
[TD]Population[/TD]
[TD="align: right"]Percent[/TD]
[/TR]
[TR]
[TD="align: center"]1[/TD]
[TD="width: 120"]WHG[/TD]
[TD="width: 50, align: right"]31.08[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Anatolian_Farmers[/TD]
[TD="width: 50, align: right"]26.96[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]CHG[/TD]
[TD="width: 50, align: right"]22.69[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]EHG[/TD]
[TD="width: 50, align: right"]9.72[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW_Asian[/TD]
[TD="width: 50, align: right"]8.06[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]S_Indian[/TD]
[TD="width: 50, align: right"]0.85[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]Papuan[/TD]
[TD="width: 50, align: right"]0.64[/TD]
[/TR]
[/TABLE]
Bulgarian is the closest in Oracle: 2.98.

Mother
[TABLE="width: 0"]
[TR]
[TD="align: center"]#[/TD]
[TD]Population[/TD]
[TD="align: right"]Percent[/TD]
[/TR]
[TR]
[TD="align: center"]1[/TD]
[TD="width: 120"]WHG[/TD]
[TD="width: 50, align: right"]32.08[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Anatolian_Farmers[/TD]
[TD="width: 50, align: right"]25.18[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]CHG[/TD]
[TD="width: 50, align: right"]22.39[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]SW_Asian[/TD]
[TD="width: 50, align: right"]9.73[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]EHG[/TD]
[TD="width: 50, align: right"]8.96[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Amerindian[/TD]
[TD="width: 50, align: right"]1.47[/TD]
[/TR]
[TR]
[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]E_Asian[/TD]
[TD="width: 50, align: right"]0.2[/TD]
[/TR]
[/TABLE]
Bulgarian is the closest in Oracle: 2.91.
 
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