Oracle-4 on Gedmatch

Quote:

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Originally Posted by Graham

Wouldn't take the countries named quite literally, but draw a map of the places..& put yourself between them.

That's what I think anyway. So it'd place you somewhere North East of Turkey..

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Actually i tried this, more to see how close the Phased Data files are to the actual people, using the 4 ancestors oracle. On the maternal phased data file it seemed to be very similar so i just put it practically overlapping. I'll try it with the normal oracle again shortly, never compared the phased and normal ones with ordinary oracle. My maternal phased data file is closest to the mark, but only by a small amount. Will try it with some different calculators too.

Likely the normal oracle will be much more accurate, but it will be interesting to see whether the phased data files differ significantly more on the finer detail.

Brown circles are ordinary files, black circles are phased. Paternal phased data file is the one to the north, maternal is the one to the south. The lone brown dot is me (i can't have a phased data file for myself).

http://i628.photobucket.com/albums/u...ps630d65c6.png

Here it is with the normal oracle. Seems to be the same sort of thing, but the finer detail shows what is actually the case:

http://i628.photobucket.com/albums/u...psfe144e33.png

MDLP K=11 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 Mediterranean 36.29
2 Caucasian 28.62
3 Iberian 10.37
4 Celto_Germanic 9.84
5 East_European 7.82
6 South_Central_Asian 2.97
7 Volga_Uralic 2.11
8 Altaic_Turkic 1.99

--------------------------------
Least-squares method.

Using 1 population approximation:
1 CITAL @ 9.976
2 SIC @ 11.890
3 ASHK @ 12.365
4 GRK @ 13.937
5 NITAL @ 19.095
6 CPR @ 24.801
7 CRS @ 24.855
8 GGZ @ 25.026
9 BLG @ 25.075
10 RMN @ 25.222
73 iterations.

Using 2 populations approximation:
1 50% CRS +50% TRK @ 7.220
2 50% LZG +50% SRD @ 7.704
3 50% NITAL +50% TRK @ 9.368
4 50% CITAL +50% GRK @ 9.426
5 50% BLG +50% CPR @ 9.626
6 50% ASHK +50% CITAL @ 9.866
7 50% GRK +50% NITAL @ 9.900
8 50% CITAL +50% CITAL @ 9.976
9 50% CITAL +50% SIC @ 10.136
10 50% ASHK +50% NITAL @ 10.667
2701 iterations.

Using 3 populations approximation:
1 50% GRK +25% IBR +25% TRK @ 2.867
2 50% GRK +25% SPN +25% TRK @ 2.889
3 50% GRK +25% PRT +25% TRK @ 3.674
4 50% ASHK +25% SPN +25% TRK @ 4.070
5 50% GRK +25% ARM +25% IBR @ 4.131
6 50% GRK +25% ARM +25% SPN @ 4.210
7 50% ASHK +25% IBR +25% TRK @ 4.332
8 50% CPR +25% RMN +25% SPN @ 4.576
9 50% CPR +25% BLG +25% SPN @ 4.654
10 50% CPR +25% BSN +25% SPN @ 4.747
59897 iterations.

Using 4 populations approximation:
1 ASHK + GRK + SPN + TRK @ 2.723
2 GRK + GRK + IBR + TRK @ 2.867
3 GRK + GRK + SPN + TRK @ 2.889
4 ASHK + GRK + IBR + TRK @ 2.907
5 ARM + GGZ + IBR + SIC @ 2.926
6 BLG + NOSS + SIC + SRD @ 2.978
7 ARM + GGZ + SIC + SPN @ 3.077
8 GRK + SIC + SPN + TRK @ 3.127
9 GRK + IBR + SIC + TRK @ 3.244
10 BLG + CITAL + NOSS + SRD @ 3.247
11 CPR + IBR + MCD + TRK @ 3.301
12 ARM + IBR + RMN + SIC @ 3.403
13 CPR + IBR + RMN + TRK @ 3.411
14 CPR + MCD + SPN + TRK @ 3.413
15 ARM + IBR + MCD + SIC @ 3.430
16 CPR + GGZ + IBR + TRK @ 3.443
17 ADG + BLG + CITAL + SRD @ 3.459
18 ARM + GER + SRD + TRK @ 3.492
19 GGZ + NITAL + NOSS + SRD @ 3.500
20 ARM + MCD + SIC + SPN @ 3.549
65717 iterations.

MDLP K=12 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 Paleo_Mediterranean 35.49
2 Caucasian 27.79
3 Iberian 10.11
4 Celto_Germanic 9.38
5 East_European 6.95
6 South_Central_Asian 2.92
7 Balto_Finnic 2.45
8 Volga_Uralic 1.96
9 Altaic_Turkic 1.91
10 Paleo_Balkanic 1.03

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

Least-squares method.

Using 1 population approximation:
1 CITAL @ 9.876
2 SIC @ 12.256
3 ASHK @ 12.741
4 GRK @ 14.000
5 NITAL @ 18.535
6 CRS @ 24.266
7 GGZ @ 24.780
8 CPR @ 24.851
9 BLG @ 25.249
10 RMN @ 25.396
73 iterations.

Using 2 populations approximation:
1 50% CRS +50% TRK @ 6.708
2 50% LZG +50% SRD @ 7.472
3 50% NITAL +50% TRK @ 9.031
4 50% CITAL +50% GRK @ 9.546
5 50% GRK +50% NITAL @ 9.843
6 50% CITAL +50% CITAL @ 9.876
7 50% BLG +50% CPR @ 9.904
8 50% ASHK +50% CITAL @ 10.059
9 50% CITAL +50% SIC @ 10.211
10 50% ASHK +50% NITAL @ 10.538
2701 iterations.

Using 3 populations approximation:
1 50% GRK +25% SPN +25% TRK @ 2.474
2 50% GRK +25% IBR +25% TRK @ 2.636
3 50% GRK +25% PRT +25% TRK @ 3.551
4 50% ASHK +25% SPN +25% TRK @ 3.823
5 50% ASHK +25% IBR +25% TRK @ 4.038
6 50% GRK +25% ARM +25% SPN @ 4.166
7 50% GRK +25% ARM +25% IBR @ 4.176
8 50% TRK +25% GER +25% SRD @ 4.325
9 50% CPR +25% RMN +25% SPN @ 4.730
10 50% CPR +25% BLG +25% SPN @ 4.793
62309 iterations.

Using 4 populations approximation:
1 ASHK + GRK + SPN + TRK @ 2.158
2 ASHK + GRK + IBR + TRK @ 2.433
3 GRK + GRK + SPN + TRK @ 2.474
4 GRK + SIC + SPN + TRK @ 2.491
5 GRK + IBR + SIC + TRK @ 2.611
6 GRK + GRK + IBR + TRK @ 2.636
7 ARM + GGZ + IBR + SIC @ 2.685
8 ARM + GGZ + SIC + SPN @ 2.701
9 BLG + NOSS + SIC + SRD @ 2.706
10 ARM + IBR + RMN + SIC @ 3.085
11 ARM + RMN + SIC + SPN @ 3.094
12 BLG + CITAL + NOSS + SRD @ 3.098
13 ARM + GER + SRD + TRK @ 3.132
14 CITAL + GRK + SPN + TRK @ 3.149
15 GRK + PRT + SIC + TRK @ 3.297
16 CPR + RMN + SPN + TRK @ 3.303
17 GGZ + NITAL + NOSS + SRD @ 3.315
18 CPR + IBR + RMN + TRK @ 3.334
19 CPR + GGZ + SPN + TRK @ 3.364
20 CPR + GGZ + IBR + TRK @ 3.390
65886 iterations.

MDLP K=10 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 Paleo_Mediterranean 36.55
2 Caucasian 29.17
3 Iberian 10.76
4 British 9.96
5 East_European 8.22
6 South_Central_Asian 3.06
7 Altaic_Turkic 2.28

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Least-squares method.

Using 1 population approximation:
1 CITAL @ 9.826
2 SIC @ 11.923
3 ASHK @ 12.310
4 GRK @ 13.773
5 NITAL @ 19.178
6 GGZ @ 24.869
7 CPR @ 24.871
8 CRS @ 24.934
9 RMN @ 25.151
10 BLG @ 25.252
73 iterations.

Using 2 populations approximation:
1 50% CRS +50% TRK @ 7.192
2 50% LZG +50% SRD @ 7.780
3 50% CITAL +50% GRK @ 9.237
4 50% NITAL +50% TRK @ 9.354
5 50% BLG +50% CPR @ 9.531
6 50% ASHK +50% CITAL @ 9.706
7 50% CITAL +50% CITAL @ 9.826
8 50% GRK +50% NITAL @ 9.872
9 50% CITAL +50% SIC @ 10.075
10 50% ASHK +50% NITAL @ 10.605
2701 iterations.

Using 3 populations approximation:
1 50% GRK +25% IBR +25% TRK @ 2.898
2 50% GRK +25% SPN +25% TRK @ 2.914
3 50% GRK +25% PRT +25% TRK @ 3.681
4 50% GRK +25% ARM +25% IBR @ 3.994
5 50% GRK +25% ARM +25% SPN @ 4.093
6 50% ASHK +25% SPN +25% TRK @ 4.188
7 50% ASHK +25% IBR +25% TRK @ 4.403
8 50% CPR +25% RMN +25% SPN @ 4.540
9 50% CPR +25% BSN +25% SPN @ 4.690
10 50% CPR +25% BLG +25% SPN @ 4.705
57719 iterations.

Using 4 populations approximation:
1 ASHK + GRK + SPN + TRK @ 2.886
2 GRK + GRK + IBR + TRK @ 2.898
3 ARM + GGZ + IBR + SIC @ 2.900
4 GRK + GRK + SPN + TRK @ 2.914
5 BLG + NOSS + SIC + SRD @ 2.955
6 ASHK + GRK + IBR + TRK @ 3.035
7 ARM + GGZ + SIC + SPN @ 3.066
8 BLG + CITAL + NOSS + SRD @ 3.115
9 GGZ + NITAL + NOSS + SRD @ 3.255
10 CPR + IBR + MCD + TRK @ 3.266
11 CITAL + NOSS + RMN + SRD @ 3.328
12 GRK + SIC + SPN + TRK @ 3.341
13 CPR + MCD + SPN + TRK @ 3.359
14 ARM + GER + SRD + TRK @ 3.409
15 GRK + IBR + SIC + TRK @ 3.420
16 ARM + IBR + MCD + SIC @ 3.426
17 CPR + GGZ + IBR + TRK @ 3.430
18 ADG + BLG + CITAL + SRD @ 3.464
19 ARM + IBR + RMN + SIC @ 3.496
20 ARM + GGZ + PRT + SIC @ 3.506
70077 iterations.

MDLP World-22:

Using 2 populations approximation:
1 50% Japanese +50% Welsh @ 2.201
2 50% Japanese +50% Norwegian_V @ 2.365
3 50% CEU +50% Japanese @ 2.531
4 50% CEU_V +50% Japanese @ 2.707
5 50% British +50% Japanese @ 2.974
6 50% Japanese +50% Orcadian @ 3.033
7 50% German_V +50% Japanese @ 3.450
8 50% Japanese +50% Swedish @ 3.654
9 50% Austrian +50% Japanese @ 3.882
10 50% Tu +50% Welsh @ 4.007
38226 iterations.



Using 3 populations approximation:
1 50% Japanese +25% Norwegian_V +25% Welsh @ 1.780
2 50% Japanese +25% CEU_V +25% Norwegian_V @ 1.885
3 50% Japanese +25% German_V +25% Norwegian_V @ 1.970
4 50% Japanese +25% British +25% Swedish @ 1.970
5 50% Japanese +25% CEU +25% Swedish @ 1.996
6 50% Japanese +25% CEU +25% Norwegian_V @ 2.001
7 50% Japanese +25% Austrian +25% Norwegian_V @ 2.062
8 50% Japanese +25% British +25% Norwegian_V @ 2.076
9 50% Japanese +25% CEU_V +25% Orcadian @ 2.088
10 50% Japanese +25% CEU +25% CEU_V @ 2.092
1877348 iterations.



Using 4 populations approximation:
1 Japanese + Japanese + Norwegian_V + Welsh @ 1.780
2 CEU_V + Japanese + Japanese + Norwegian_V @ 1.885
3 German_V + Japanese + Japanese + Norwegian_V @ 1.970
4 British + Japanese + Japanese + Swedish @ 1.970
5 CEU + Japanese + Japanese + Swedish @ 1.996
6 CEU + Japanese + Japanese + Norwegian_V @ 2.001
7 Austrian + Japanese + Japanese + Norwegian_V @ 2.062
8 British + Japanese + Japanese + Norwegian_V @ 2.076
9 CEU_V + Japanese + Japanese + Orcadian @ 2.088
10 CEU + CEU_V + Japanese + Japanese @ 2.092
11 Japanese + Japanese + Orcadian + Swedish @ 2.093
12 German-South + Japanese + Japanese + Swedish_V @ 2.120
13 British + Japanese + Japanese + Swedish_V @ 2.132
14 CEU + Japanese + Japanese + Welsh @ 2.180
15 British + CEU_V + Japanese + Japanese @ 2.193
16 Japanese + Japanese + Welsh + Welsh @ 2.201
17 German-North + Japanese + Japanese + Orcadian @ 2.212
18 German_V + Japanese + Japanese + Orcadian @ 2.216
19 CEU_V + Japanese + Japanese + Welsh @ 2.221
20 German + Japanese + Japanese + Orcadian @ 2.227


Eurogenes EUTest:

Using 2 populations approximation:
1 50% Cornish +50% Japanese @ 4.476
2 50% Japanese +50% Orcadian @ 4.517
3 50% IE +50% Japanese @ 4.736
4 50% Japanese +50% Scottish @ 4.745
5 50% Cornish +50% KR @ 5.013
6 50% KR +50% Orcadian @ 5.049
7 50% IE +50% KR @ 5.241
8 50% KR +50% Scottish @ 5.260
9 50% Japanese +50% NL @ 5.280
10 50% DK +50% Japanese @ 5.328
3081 iterations.



Using 3 populations approximation:
1 50% Japanese +25% French_Basque +25% South_Finnish @ 2.571
2 50% Japanese +25% East_Finnish +25% French_Basque @ 2.624
3 50% KR +25% East_Finnish +25% French_Basque @ 2.980
4 50% KR +25% French_Basque +25% South_Finnish @ 3.089
5 50% Japanese +25% EE +25% French_Basque @ 3.637
6 50% Japanese +25% Cornish +25% North_Swedish @ 4.067
7 50% Japanese +25% French_Basque +25% North_Swedish @ 4.162
8 50% Japanese +25% North_Swedish +25% Scottish @ 4.232
9 50% KR +25% EE +25% French_Basque @ 4.249
10 50% Japanese +25% French_Basque +25% North_Russian @ 4.293
90086 iterations.



Using 4 populations approximation:
1 French_Basque + Japanese + Japanese + South_Finnish @ 2.571
2 East_Finnish + French_Basque + Japanese + Japanese @ 2.624
3 East_Finnish + French_Basque + Japanese + KR @ 2.711
4 French_Basque + Japanese + KR + South_Finnish @ 2.747
5 East_Finnish + French_Basque + KR + KR @ 2.980
6 French_Basque + KR + KR + South_Finnish @ 3.089
7 EE + French_Basque + Japanese + Japanese @ 3.637
8 EE + French_Basque + Japanese + KR @ 3.887
9 Cornish + Japanese + Japanese + North_Swedish @ 4.067
10 French_Basque + Japanese + Japanese + North_Swedish @ 4.162
11 Japanese + Japanese + North_Swedish + Scottish @ 4.232
12 EE + French_Basque + KR + KR @ 4.249
13 Cornish + Japanese + KR + North_Swedish @ 4.253
14 French_Basque + Japanese + Japanese + North_Russian @ 4.293
15 East_Russian + French_Basque + Japanese + Japanese @ 4.340
16 French_Basque + Japanese + KR + North_Swedish @ 4.349
17 French_Basque + Japanese + KR + North_Russian @ 4.373
18 IE + Japanese + Japanese + North_Swedish @ 4.392
19 Cornish + Japanese + Japanese + Orcadian @ 4.402
20 Japanese + KR + North_Swedish + Scottish @ 4.412


Dodecad V3:

Using 2 populations approximation:
1 50% German +50% Japanese @ 2.491
2 50% CEU +50% Japanese @ 2.862
3 50% German +50% Korean @ 3.048
4 50% Japanese +50% Orcadian @ 3.158
5 50% Japanese +50% Argyll @ 3.203
6 50% Japanese +50% Orkney @ 3.285
7 50% CEU +50% Korean @ 3.485
8 50% German +50% Japanese @ 3.519
9 50% Japanese +50% N._European @ 3.534
10 50% Korean +50% Argyll @ 3.684
25878 iterations.



Using 3 populations approximation:
1 50% Japanese +25% CEU +25% German @ 2.046
2 50% German +25% Hezhen +25% JPT @ 2.101
3 50% Japanese +25% German +25% Orcadian @ 2.154
4 50% German +25% Han +25% Hezhen @ 2.212
5 50% Japanese +25% German +25% Orkney @ 2.233
6 50% German +25% CHB +25% Hezhen @ 2.304
7 50% German +25% Daur +25% JPT @ 2.305
8 50% Japanese +25% British_Isles +25% Hungarians @ 2.315
9 50% German +25% CHS +25% Oroqen @ 2.324
10 50% German +25% Lahu +25% Oroqen @ 2.335
711333 iterations.



Using 4 populations approximation:
1 CEU + German + Lahu + Oroqen @ 1.660
2 CEU + German + Hezhen + JPT @ 1.688
3 CEU + German + Han + Hezhen @ 1.745
4 German + Lahu + Orcadian + Oroqen @ 1.792
5 CEU + Dai + German + Oroqen @ 1.793
6 CEU + Daur + German + JPT @ 1.795
7 CEU + German + Hezhen + Yizu @ 1.806
8 German + Hezhen + JPT + Orcadian @ 1.818
9 CEU + Chinese + German + Hezhen @ 1.866
10 German + Lahu + Orkney + Oroqen @ 1.868
11 German + Han + Hezhen + Orcadian @ 1.869
12 CEU + German + Hezhen + Naxi @ 1.882
13 German + Hezhen + JPT + Orkney @ 1.892
14 CEU + German + Hezhen + Tujia @ 1.893
15 CEU + Chinese + Daur + German @ 1.893
16 CEU + German + Hezhen + She @ 1.894
17 Daur + German + JPT + Orcadian @ 1.908
18 CEU + CHS + German + Oroqen @ 1.910
19 Dai + German + Orcadian + Oroqen @ 1.917
20 CEU + Daur + German + Yizu @ 1.918


HarappaWorld:

Using 2 populations approximation:
1 50% japanese +50% utahn-white @ 2.813
2 50% japanese +50% n-european @ 2.923
3 50% japanese +50% utahn-white @ 2.963
4 50% british +50% japanese @ 3.284
5 50% japanese +50% orcadian @ 4.228
6 50% tu +50% utahn-white @ 4.772
7 50% naxi +50% utahn-white @ 4.903
8 50% n-european +50% tu @ 4.974
9 50% tu +50% utahn-white @ 4.984
10 50% british +50% tu @ 4.992
61425 iterations.



Using 3 populations approximation:
1 50% utahn-white +25% chinese-beijing +25% xibo @ 2.439
2 50% utahn-white +25% chinese-beijing +25% xibo @ 2.453
3 50% n-european +25% chinese-beijing +25% xibo @ 2.659
4 50% n-european +25% chinese-beijing +25% xibo @ 2.676
5 50% utahn-white +25% chinese-beijing +25% xibo @ 2.688
6 50% utahn-white +25% chinese-beijing +25% xibo @ 2.700
7 50% utahn-white +25% han-nchina +25% xibo @ 2.700
8 50% japanese +25% russian +25% spain-basc @ 2.701
9 50% japanese +25% n-european +25% utahn-white @ 2.713
10 50% japanese +25% russian +25% spain-basc @ 2.722
1268948 iterations.



Using 4 populations approximation:
1 chinese-beijing + russian + spain-basc + xibo @ 2.008
2 chinese-beijing + russian + spain-basc + xibo @ 2.014
3 basque + chinese-beijing + russian + xibo @ 2.221
4 basque + chinese-beijing + russian + xibo @ 2.222
5 chinese-beijing + russian + spain-basc + xibo @ 2.267
6 chinese-beijing + russian + spain-basc + xibo @ 2.299
7 chinese-beijing + n-european + utahn-white + xibo @ 2.374
8 chinese-beijing + n-european + utahn-white + xibo @ 2.391
9 chinese-beijing + mordovian + spain-basc + xibo @ 2.423
10 chinese-beijing + mordovian + spain-basc + xibo @ 2.426
11 british + chinese-beijing + n-european + xibo @ 2.430
12 chinese-beijing + utahn-white + utahn-white + xibo @ 2.439
13 british + chinese-beijing + n-european + xibo @ 2.445
14 chinese-beijing + utahn-white + utahn-white + xibo @ 2.453
15 chinese-beijing + utahn-white + utahn-white + xibo @ 2.489
16 han-nchina + russian + spain-basc + xibo @ 2.500
17 chinese-beijing + utahn-white + utahn-white + xibo @ 2.502
18 han-nchina + russian + spain-basc + xibo @ 2.536
19 basque + chinese-beijing + russian + xibo @ 2.565
20 chinese-beijing + mongola + russian + spain-basc @ 2.566

MDLP K=12
Using 1 population approximation:
1 PRT @ 11.692
2 NITAL @ 13.508
3 IBR @ 14.494
4 SPN @ 15.408
5 CRS @ 16.227
6 FRN @ 18.094
7 BLG @ 23.058
8 CITAL @ 24.556
9 GER @ 28.240
10 RMN @ 30.134

Using 2 populations approximation:
1 50% BLG +50% IBR @ 6.967
2 50% BLG +50% PRT @ 7.312
3 50% CITAL +50% FRN @ 7.362
4 50% FRN +50% NITAL @ 7.385
5 50% BLG +50% SPN @ 7.388
6 50% IBR +50% NITAL @ 8.302
7 50% CRS +50% FRN @ 8.348
8 50% NITAL +50% SPN @ 8.489
9 50% CRS +50% GER @ 8.638
10 50% NITAL +50% PRT @ 8.719

Using 3 populations approximation:
1 50% PRT +25% CITAL +25% GER @ 2.859
2 50% PRT +25% GER +25% SIC @ 2.958
3 50% NITAL +25% GER +25% SPN @ 3.040
4 50% NITAL +25% GER +25% IBR @ 3.081
5 50% IBR +25% ASHK +25% GER @ 3.132
6 50% PRT +25% ASHK +25% GER @ 3.299
7 50% PRT +25% FRN +25% GGZ @ 3.409
8 50% IBR +25% CITAL +25% GER @ 3.455
9 50% IBR +25% GER +25% SIC @ 3.622
10 50% FRN +25% GRK +25% IBR @ 3.636

Using 4 populations approximation:
1 CITAL + GER + IBR + PRT @ 2.760
2 ASHK + GER + IBR + PRT @ 2.813
3 CITAL + GER + PRT + PRT @ 2.859
4 GER + IBR + PRT + SIC @ 2.916
5 BLG + FRN + NITAL + SPN @ 2.936
6 GER + PRT + PRT + SIC @ 2.958
7 CITAL + GER + PRT + SPN @ 2.966
8 GER + NITAL + NITAL + SPN @ 3.040
9 BLG + FRN + IBR + NITAL @ 3.049
10 GER + IBR + NITAL + NITAL @ 3.081
11 ASHK + GER + PRT + SPN @ 3.120
12 ASHK + GER + IBR + IBR @ 3.132
13 FRN + IBR + NITAL + RMN @ 3.162
14 FRN + NITAL + RMN + SPN @ 3.237
15 ASHK + GER + PRT + PRT @ 3.299
16 GER + PRT + SIC + SPN @ 3.312
17 FRN + GGZ + PRT + PRT @ 3.409
18 CRS + GER + NITAL + SPN @ 3.417
19 CITAL + GER + IBR + IBR @ 3.455
20 FRN + GGZ + IBR + PRT @ 3.462

MDLP World
1 Portuguese @ 6.185
2 Italian_North @ 6.558
3 Provancal @ 7.323
4 Swiss @ 7.937
5 Italian-North @ 8.825
6 Montenegrin @ 9.166
7 Bulgarian @ 9.435
8 Iberian @ 9.648
9 Macedonian @ 9.721
10 Corsican @ 9.963

Using 2 populations approximation:
1 50% Bulgarian +50% Portuguese @ 3.682
2 50% Macedonian +50% Portuguese @ 3.861
3 50% Latvian_V +50% Otzi @ 3.956
4 50% Ashkenazim_V +50% Spaniard @ 4.334
5 50% Montenegrin +50% Portuguese @ 4.356
6 50% Gagauz +50% Portuguese @ 4.372
7 50% Bulgarian +50% Iberian @ 4.552
8 50% Otzi +50% Ukrainian-Center @ 4.559
9 50% Gagauz +50% Iberian @ 4.622
10 50% Otzi +50% Ukrainian_V @ 4.633

Using 3 populations approximation:
1 50% German-North +25% Jew_Libya +25% Sardinian @ 1.554
2 50% Czech +25% Jew_Algeria +25% Sardinian @ 1.765
3 50% Iberian +25% Jew_Algeria +25% Swedish @ 1.793
4 50% Iberian +25% Jew_Algeria +25% Swedish_V @ 1.814
5 50% Iberian +25% Swedish_V +25% Jew_Morocco @ 1.816
6 50% Spaniard +25% Swedish +25% Jew_Libya @ 1.830
7 50% German-North +25% Jew_Algeria +25% Sardinian @ 1.873
8 50% Swedish +25% Jew_Libya +25% Sardinian @ 1.874
9 50% German-North +25% Jew_Tunisia +25% Sardinian @ 1.893
10 50% Ashkenazim_V +25% Ire8 +25% Sardinian @ 1.918

Using 4 populations approximation:
1 Ire8 + Serbian + Sephardim + Sardinian @ 0.802
2 Ire8 + Jew_France + Macedonian + Sardinian @ 0.846
3 Ire8 + Jew_Italia + Serbian + Sardinian @ 0.875
4 Ire8 + Jew_Italia + Montenegrin + Sardinian @ 0.890
5 Ire8 + Jew_Italia + Macedonian + Sardinian @ 0.952
6 Ire8 + Jew_Tunisia + German-South + Sardinian @ 0.964
7 Ire8 + Montenegrin + Jew_France + Sardinian @ 0.992
8 Ire8 + Jew_France + Serbian + Sardinian @ 1.028
9 Ire8 + Jew_Algeria + Serbian + Sardinian @ 1.137
10 Ire8 + Bosnian + Sephardim + Sardinian @ 1.199
11 Ire8 + Jew_Algeria + German-South + Sardinian @ 1.259
12 Ire8 + Montenegrin + Sephardim + Sardinian @ 1.298
13 Ire8 + Jew_France + Bulgarian + Sardinian @ 1.400
14 Ire8 + Sephardim + Macedonian + Sardinian @ 1.430
15 Ire8 + Jew_Algeria + Montenegrin + Sardinian @ 1.455
16 Ire8 + Jew_Libya + German-South + Sardinian @ 1.486
17 Ire8 + Otzi + Montenegrin + Italian-Center @ 1.506
18 Jew_Algeria + Lithuanian_V + Swiss + Sardinian @ 1.511
19 Ire8 + Otzi + Montenegrin + Italian-South @ 1.527
20 Ire8 + Jew_Libya + Corsican + Basque @ 1.528


MDLP World-22
Using 1 population approximation:
1 Portuguese @ 5.894
2 Italian_North @ 7.591
3 Provancestral @ 7.927
4 Italian-North @ 8.285
5 Iberian @ 8.715
6 Corsican @ 8.810
7 Swiss @ 8.973
8 Spaniard @ 10.334
9 Kosovar @ 12.694
10 French @ 13.144

Using 2 populations approximation:
1 50% Ashkenazim_V +50% Spaniard @ 3.986
2 50% Ashkenazim_V +50% Iberian @ 4.311
3 50% Italian_North +50% Portuguese @ 4.631
4 50% Ashkenazim_V +50% Portuguese @ 5.177
5 50% Portuguese +50% Swiss @ 5.188
6 50% Corsican +50% Swiss @ 5.231
7 50% Italian-North +50% Portuguese @ 5.279
8 50% Portuguese +50% Provancestral@ 5.358
9 50% German +50% Otzi @ 5.530
10 50% Portuguese +50% Portuguese @ 5.894

Using 3 populations approximation:
1 50% Iberian +25% Jew_Algeria +25% Swedish @ 1.986
2 50% Iberian +25% Jew_Algeria +25% Swedish_V @ 2.022
3 50% Iberian +25% Jew_Morocco +25% Norwegian_V @ 2.035
4 50% Iberian +25% Jew_Morocco +25% Swedish @ 2.122
5 50% Spaniard +25% Jew_Libya +25% Swedish @ 2.149
6 50% Iberian +25% Jew_Libya +25% Swedish @ 2.212
7 50% Iberian +25% Jew_Tunisia +25% Swedish @ 2.242
8 50% Iberian +25% Sephardim +25% Swedish_V @ 2.291
9 50% Iberian +25% Sephardim +25% Swedish @ 2.297
10 50% Iberian +25% Jew_Morocco +25% Welsh @ 2.352

Using 4 populations approximation:
1 Portuguese + Russian_North + Sardinian + Sicilian @ 1.749
2 Basque + German + Jew_Libya + Portuguese @ 1.832
3 German + Jew_Libya + Sardinian + Welsh @ 1.963
4 Iberian + Iberian + Jew_Algeria + Swedish @ 1.986
5 Iberian + Iberian + Jew_Algeria + Swedish_V @ 2.022
6 Iberian + Iberian + Jew_Morocco + Norwegian_V @ 2.035
7 Iberian + Jew_Libya + Spaniard + Swedish @ 2.046
8 Basque + German + Iberian + Jew_Libya @ 2.066
9 CEU + German + Jew_Morocco + Sardinian @ 2.070
10 Iberian + Russian_North + Sardinian + Sicilian @ 2.074
11 German + Jew_Libya + Orcadian + Sardinian @ 2.093
12 Iberian + Iberian + Jew_Morocco + Swedish @ 2.122
13 German + Jew_Morocco + Orcadian + Sardinian @ 2.125
14 Italian-South + Portuguese + Russian_North + Sardinian @ 2.138
15 Iberian + Jew_Algeria + Portuguese + Swedish @ 2.143
16 Jew_Libya + Spaniard + Spaniard + Swedish @ 2.149
17 Iberian + Jew_Morocco + Norwegian_V + Spaniard @ 2.158
18 CEU_V + Jew_Libya + Sardinian + Swedish @ 2.168
19 Hungarian + Jew_Morocco + Norwegian_V + Sardinian @ 2.175
20 Jew_Algeria + Portuguese + Spaniard + Swedish @ 2.180

Jtest 4-Ancestors Oracle
Using 1 population approximation:
1 PT @ 3.980
2 ES @ 4.976
3 FR @ 9.919
4 North_Italian @ 13.328
5 Tuscan @ 17.442
6 Cornish @ 18.873
7 West_&_Central_German @ 19.882
8 NL @ 19.927
9 English @ 20.016
10 AT @ 20.519

Using 2 populations approximation:
1 50% PT +50% PT @ 3.980
2 50% ES +50% PT @ 4.070
3 50% ES +50% ES @ 4.976
4 50% FR +50% PT @ 6.040
5 50% ES +50% FR @ 6.373
6 50% ES +50% North_Italian @ 8.224
7 50% North_Italian +50% PT @ 8.449
8 50% FR +50% North_Italian @ 9.280
9 50% ES +50% Tuscan @ 9.576
10 50% Cornish +50% PT @ 9.769

Using 3 populations approximation:
1 50% PT +25% ES +25% PT @ 3.908
2 50% PT +25% PT +25% PT @ 3.980
3 50% ES +25% PT +25% PT @ 4.070
4 50% PT +25% ES +25% ES @ 4.070
5 50% ES +25% ES +25% PT @ 4.442
6 50% PT +25% FR +25% PT @ 4.583
7 50% PT +25% ES +25% FR @ 4.613
8 50% ES +25% FR +25% PT @ 4.840
9 50% ES +25% ES +25% ES @ 4.976
10 50% ES +25% ES +25% FR @ 5.239

Using 4 populations approximation:
1 ES + PT + PT + PT @ 3.908
2 PT + PT + PT + PT @ 3.980
3 ES + ES + PT + PT @ 4.070
4 ES + ES + ES + PT @ 4.442
5 FR + PT + PT + PT @ 4.583
6 ES + FR + PT + PT @ 4.613
7 ES + ES + FR + PT @ 4.840
8 ES + ES + ES + ES @ 4.976
9 ES + ES + ES + FR @ 5.239
10 DK + French_Basque + Moroccan + Tuscan @ 5.529
11 English + French_Basque + Moroccan + PT @ 5.589
12 English + French_Basque + Moroccan + Tuscan @ 5.602
13 French_Basque + PT + PT + PT @ 5.649
14 English + ES + ES + Moroccan @ 5.662
15 Cornish + PT + PT + PT @ 5.744
16 French_Basque + Moroccan + NL + PT @ 5.758
17 DK + French_Basque + Moroccan + PT @ 5.774
18 French_Basque + Moroccan + NO + Tuscan @ 5.781
19 French_Basque + Moroccan + PT + West_&_Central_German @ 5.791
20 Cornish + ES + PT + PT @ 5.809

EUtest 4-Ancestors Oracle
Using 1 population approximation:
1 PT @ 3.806
2 ES @ 4.923
3 FR @ 10.139
4 North_Italian @ 13.580
5 Tuscan @ 17.708
6 Cornish @ 19.253
7 West_&_Central_German @ 20.293
8 NL @ 20.374
9 English @ 20.382
10 French_Basque @ 20.649

Using 2 populations approximation:
1 50% PT +50% PT @ 3.806
2 50% ES +50% PT @ 3.965
3 50% ES +50% ES @ 4.923
4 50% FR +50% PT @ 6.105
5 50% ES +50% FR @ 6.466
6 50% ES +50% North_Italian @ 8.365
7 50% North_Italian +50% PT @ 8.561
8 50% FR +50% North_Italian @ 9.539
9 50% ES +50% Tuscan @ 9.738
10 50% Cornish +50% PT @ 9.994

Using 3 populations approximation:
1 50% PT +25% ES +25% PT @ 3.767
2 50% PT +25% PT +25% PT @ 3.806
3 50% ES +25% PT +25% PT @ 3.965
4 50% PT +25% ES +25% ES @ 3.965
5 50% ES +25% ES +25% PT @ 4.366
6 50% PT +25% FR +25% PT @ 4.531
7 50% PT +25% ES +25% FR @ 4.590
8 50% ES +25% FR +25% PT @ 4.840
9 50% ES +25% ES +25% ES @ 4.923
10 50% ES +25% ES +25% FR @ 5.253

Using 4 populations approximation:
1 ES + PT + PT + PT @ 3.767
2 PT + PT + PT + PT @ 3.806
3 ES + ES + PT + PT @ 3.965
4 ES + ES + ES + PT @ 4.366
5 FR + PT + PT + PT @ 4.531
6 ES + FR + PT + PT @ 4.590
7 ES + ES + FR + PT @ 4.840
8 ES + ES + ES + ES @ 4.923
9 ES + ES + ES + FR @ 5.253
10 English + French_Basque + Moroccan + PT @ 5.275
11 English + ES + ES + Moroccan @ 5.302
12 DK + French_Basque + Moroccan + Tuscan @ 5.372
13 English + French_Basque + Moroccan + Tuscan @ 5.483
14 French_Basque + Moroccan + NL + PT @ 5.500
15 DK + French_Basque + Moroccan + PT @ 5.503
16 French_Basque + Moroccan + PT + West_&_Central_German @ 5.569
17 English + ES + FR + Moroccan @ 5.593
18 ES + FR + FR + Moroccan @ 5.600
19 English + ES + French_Basque + Moroccan @ 5.621
20 Cornish + ES + ES + Moroccan @ 5.628

Dodecad V3 4-Ancestors Oracle
Using 1 population approximation:
1 Portuguese @ 11.356
2 French @ 13.442
3 French @ 13.639
4 N_Italian @ 14.137
5 Tuscan @ 14.791
6 IBS @ 14.833
7 Spaniards @ 14.876
8 Spanish @ 15.298
9 TSI @ 15.423
10 Tuscan @ 15.578

Using 2 populations approximation:
1 50% French +50% Tuscan @ 6.052
2 50% French +50% Tuscan @ 6.197
3 50% Sardinian +50% N._European @ 6.432
4 50% French +50% Tuscan @ 6.558
5 50% French +50% TSI @ 6.654
6 50% French +50% Tuscan @ 6.758
7 50% French +50% TSI @ 7.239
8 50% Sardinian +50% Argyll @ 7.343
9 50% French +50% O_Italian @ 7.544
10 50% German +50% Sardinian @ 7.565

Using 3 populations approximation:
1 50% Portuguese +25% Morocco_Jews +25% Norwegian @ 1.563
2 50% Portuguese +25% Morocco_Jews +25% Swedish @ 1.571
3 50% IBS +25% Morocco_Jews +25% Swedish @ 2.435
4 50% Portuguese +25% Norwegian +25% Sephardic_Jews @ 2.473
5 50% Spanish +25% Morocco_Jews +25% Swedish @ 2.503
6 50% Portuguese +25% Ashkenazi +25% Swedish @ 2.528
7 50% Portuguese +25% Ashkenazi +25% Norwegian @ 2.530
8 50% Portuguese +25% Sephardic_Jews +25% Swedish @ 2.613
9 50% IBS +25% Morocco_Jews +25% Norwegian @ 2.766
10 50% Portuguese +25% Ashkenazy_Jews +25% Norwegian @ 2.800

Using 4 populations approximation:
1 Morocco_Jews + Portuguese + Spanish + Swedish @ 1.452
2 IBS + Morocco_Jews + Portuguese + Swedish @ 1.517
3 Morocco_Jews + Norwegian + Portuguese + Portuguese @ 1.563
4 Morocco_Jews + Portuguese + Portuguese + Swedish @ 1.571
5 Morocco_Jews + Portuguese + Spaniards + Swedish @ 1.708
6 IBS + Morocco_Jews + Norwegian + Portuguese @ 1.775
7 Morocco_Jews + Norwegian + Portuguese + Spanish @ 1.806
8 Morocco_Jews + Norwegian + Portuguese + Spaniards @ 2.147
9 IBS + IBS + Morocco_Jews + Swedish @ 2.435
10 IBS + Morocco_Jews + Spanish + Swedish @ 2.448
11 Norwegian + Portuguese + Portuguese + Sephardic_Jews @ 2.473
12 Morocco_Jews + Spanish + Spanish + Swedish @ 2.503
13 Ashkenazi + Portuguese + Portuguese + Swedish @ 2.528
14 Ashkenazi + Norwegian + Portuguese + Portuguese @ 2.530
15 Portuguese + Portuguese + Sephardic_Jews + Swedish @ 2.613
16 IBS + Morocco_Jews + Spaniards + Swedish @ 2.649
17 Morocco_Jews + Spaniards + Spanish + Swedish @ 2.719
18 IBS + IBS + Morocco_Jews + Norwegian @ 2.766
19 French + Morocco_Jews + Orkney + Portuguese @ 2.778
20 CEU + French + Morocco_Jews + Portuguese @ 2.792

World9 4-Ancestors Oracle
Using 1 population approximation:
1 Portuguese @ 1.111
2 Galicia @ 1.381
3 Extremadura @ 1.385
4 Andalucia @ 1.837
5 Castilla_La_Mancha @ 2.108
6 Castilla_Y_Leon @ 2.387
7 Spaniards @ 3.247
8 Baleares @ 3.295
9 Murcia @ 3.698
10 Valencia @ 4.266

Using 2 populations approximation:
1 50% Portuguese +50% Galicia @ 1.041
2 50% Portuguese +50% Extremadura @ 1.103
3 50% Canarias +50% Cataluna @ 1.105
4 50% Portuguese +50% Portuguese @ 1.111
5 50% Portuguese +50% Andalucia @ 1.186
6 50% Galicia +50% Extremadura @ 1.234
7 50% Galicia +50% Andalucia @ 1.261
8 50% Portuguese +50% Castilla_La_Mancha @ 1.334
9 50% Valencia +50% Murcia @ 1.367
10 50% Galicia +50% Galicia @ 1.381

Using 3 populations approximation:
1 50% Galicia +25% Galicia +25% Murcia @ 0.811
2 50% Galicia +25% Portuguese +25% Murcia @ 0.868
3 50% Galicia +25% Murcia +25% Extremadura @ 0.907
4 50% Galicia +25% Murcia +25% Castilla_La_Mancha @ 0.916
5 50% Galicia +25% Canarias +25% Valencia @ 0.947
6 50% Galicia +25% Murcia +25% Castilla_Y_Leon @ 0.948
7 50% Galicia +25% Spaniards +25% Canarias @ 0.959
8 50% Galicia +25% Canarias +25% Cataluna @ 0.978
9 50% Portuguese +25% Galicia +25% Andalucia @ 0.991
10 50% Galicia +25% Spanish +25% Canarias @ 1.002

Using 4 populations approximation:
1 Galicia + Galicia + Galicia + Murcia @ 0.811
2 Portuguese + Galicia + Galicia + Murcia @ 0.868
3 Galicia + Galicia + Murcia + Extremadura @ 0.907
4 Galicia + Galicia + Murcia + Castilla_La_Mancha @ 0.916
5 Portuguese + Galicia + Murcia + Castilla_La_Mancha @ 0.927
6 Galicia + Murcia + Extremadura + Castilla_Y_Leon @ 0.932
7 Galicia + Murcia + Extremadura + Castilla_La_Mancha @ 0.932
8 Canarias + Galicia + Galicia + Valencia @ 0.947
9 Galicia + Galicia + Murcia + Castilla_Y_Leon @ 0.948
10 Spaniards + Canarias + Galicia + Galicia @ 0.959
11 Portuguese + Canarias + Galicia + Cataluna @ 0.962
12 Canarias + Galicia + Galicia + Cataluna @ 0.978
13 Canarias + Galicia + Cataluna + Extremadura @ 0.986
14 Portuguese + Galicia + Murcia + Castilla_Y_Leon @ 0.990
15 Portuguese + Portuguese + Galicia + Andalucia @ 0.991
16 Spanish + Canarias + Galicia + Galicia @ 1.002
17 Canarias + Galicia + Valencia + Extremadura @ 1.006
18 Portuguese + Murcia + Extremadura + Castilla_La_Mancha @ 1.009
19 Spaniards + Canarias + Galicia + Castilla_La_Mancha @ 1.010
20 Murcia + Extremadura + Extremadura + Castilla_Y_Leon @ 1.016

Dodecad K7b 4-Ancestors Oracle
Using 1 population approximation:
1 Galicia @ 1.005
2 Andalucia @ 1.199
3 Extremadura @ 1.592
4 Castilla_Y_Leon @ 1.770
5 Portuguese @ 1.834
6 Murcia @ 1.974
7 Castilla_La_Mancha @ 2.387
8 Spanish @ 2.518
9 Baleares @ 2.563
10 Spaniards @ 3.362

Using 2 populations approximation:
1 50% Murcia +50% Spanish @ 0.715
2 50% Canarias +50% Cataluna @ 0.800
3 50% Castilla_La_Mancha +50% Murcia @ 0.860
4 50% Andalucia +50% Castilla_Y_Leon @ 0.870
5 50% Castilla_Y_Leon +50% Murcia @ 0.905
6 50% Andalucia +50% Galicia @ 0.943
7 50% Galicia +50% Galicia @ 1.005
8 50% Andalucia +50% Portuguese @ 1.038
9 50% Castilla_Y_Leon +50% Galicia @ 1.072
10 50% Castilla_Y_Leon +50% Extremadura @ 1.104

Using 3 populations approximation:
1 50% Spaniards +25% Canarias +25% Castilla_Y_Leon @ 0.458
2 50% Castilla_La_Mancha +25% Canarias +25% Spaniards @ 0.483
3 50% Valencia +25% Canarias +25% Murcia @ 0.501
4 50% Spanish +25% Baleares +25% Canarias @ 0.571
5 50% Extremadura +25% Canarias +25% Cantabria @ 0.575
6 50% Galicia +25% Canarias +25% Valencia @ 0.581
7 50% Spanish +25% Canarias +25% Spaniards @ 0.588
8 50% Spaniards +25% Canarias +25% Castilla_La_Mancha @ 0.592
9 50% Spaniards +25% Canarias +25% Spanish @ 0.621
10 50% Galicia +25% Canarias +25% Cantabria @ 0.624

Using 4 populations approximation:
1 Andalucia + Canarias + Spaniards + Valencia @ 0.354
2 Canarias + Murcia + Spaniards + Valencia @ 0.366
3 Baleares + Canarias + Spanish + Valencia @ 0.371
4 Baleares + Canarias + Cantabria + Extremadura @ 0.394
5 Baleares + Canarias + Cantabria + Galicia @ 0.401
6 Canarias + Cantabria + Murcia + Spaniards @ 0.406
7 Baleares + Canarias + Castilla_La_Mancha + Valencia @ 0.433
8 Andalucia + Canarias + Spaniards + Spanish @ 0.440
9 Andalucia + Canarias + Cantabria + Extremadura @ 0.446
10 Canarias + Galicia + Spaniards + Spanish @ 0.447
11 Canarias + Castilla_La_Mancha + Galicia + Spaniards @ 0.448
12 Canarias + Castilla_Y_Leon + Spaniards + Spaniards @ 0.458
13 Aragon + Canarias + Extremadura + Spaniards @ 0.460
14 Andalucia + Aragon + Canarias + Spaniards @ 0.465
15 Canarias + Castilla_La_Mancha + Extremadura + Valencia @ 0.467
16 Andalucia + Canarias + Spanish + Valencia @ 0.474
17 Andalucia + Canarias + Castilla_La_Mancha + Valencia @ 0.479
18 Aragon + Baleares + Canarias + Spaniards @ 0.479
19 Canarias + Castilla_La_Mancha + Castilla_La_Mancha + Spaniards @ 0.483
20 Baleares + Canarias + Castilla_Y_Leon + Valencia @ 0.486

Dodecad K12b 4-Ancestors Oracle
Using 1 population approximation:
1 Galicia @ 1.947
2 Extremadura @ 2.292
3 Portuguese @ 3.318
4 Castilla_Y_Leon @ 3.406
5 Murcia @ 4.297
6 Spanish @ 4.817
7 Baleares @ 5.069
8 Spaniards @ 5.756
9 Cataluna @ 6.156
10 Castilla_La_Mancha @ 6.542

Using 2 populations approximation:
1 50% Extremadura +50% Galicia @ 1.633
2 50% Galicia +50% Galicia @ 1.947
3 50% Castilla_Y_Leon +50% Galicia @ 2.017
4 50% Galicia +50% Portuguese @ 2.051
5 50% Extremadura +50% Extremadura @ 2.292
6 50% Castilla_Y_Leon +50% Extremadura @ 2.332
7 50% Galicia +50% Murcia @ 2.341
8 50% Extremadura +50% Portuguese @ 2.526
9 50% Galicia +50% Spanish @ 2.529
10 50% Castilla_Y_Leon +50% Portuguese @ 2.590

Using 3 populations approximation:
1 50% Galicia +25% Castilla_Y_Leon +25% Extremadura @ 1.619
2 50% Extremadura +25% Galicia +25% Galicia @ 1.633
3 50% Galicia +25% Extremadura +25% Extremadura @ 1.633
4 50% Galicia +25% Extremadura +25% Galicia @ 1.663
5 50% Galicia +25% Castilla_La_Mancha +25% Portuguese @ 1.665
6 50% Galicia +25% Extremadura +25% Murcia @ 1.721
7 50% Galicia +25% Extremadura +25% Spanish @ 1.725
8 50% Galicia +25% Canarias +25% Cataluna @ 1.729
9 50% Galicia +25% Castilla_Y_Leon +25% Portuguese @ 1.729
10 50% Galicia +25% Extremadura +25% Portuguese @ 1.732

Using 4 populations approximation:
1 Castilla_Y_Leon + Extremadura + Galicia + Galicia @ 1.619
2 Extremadura + Extremadura + Galicia + Galicia @ 1.633
3 Extremadura + Galicia + Galicia + Galicia @ 1.663
4 Castilla_La_Mancha + Galicia + Galicia + Portuguese @ 1.665
5 Extremadura + Galicia + Galicia + Murcia @ 1.721
6 Extremadura + Galicia + Galicia + Spanish @ 1.725
7 Canarias + Cataluna + Galicia + Galicia @ 1.729
8 Castilla_Y_Leon + Galicia + Galicia + Portuguese @ 1.729
9 Extremadura + Galicia + Galicia + Portuguese @ 1.732
10 Castilla_Y_Leon + Galicia + Galicia + Galicia @ 1.739
11 Castilla_Y_Leon + Extremadura + Extremadura + Galicia @ 1.773
12 Galicia + Galicia + Portuguese + Spanish @ 1.774
13 Galicia + Galicia + Galicia + Portuguese @ 1.789
14 Galicia + Galicia + Galicia + Murcia @ 1.795
15 Castilla_La_Mancha + Extremadura + Galicia + Galicia @ 1.803
16 Galicia + Galicia + Galicia + Spanish @ 1.822
17 Galicia + Galicia + Murcia + Portuguese @ 1.825
18 Castilla_La_Mancha + Extremadura + Galicia + Portuguese @ 1.838
19 Castilla_Y_Leon + Extremadura + Galicia + Portuguese @ 1.847
20 Castilla_La_Mancha + Galicia + Galicia + Galicia @ 1.863


HarappaWorld 4-Ancestors Oracle
Using 1 population approximation:
1 spaniard @ 7.087
2 spaniard @ 7.819
3 italian @ 10.411
4 french @ 12.501
5 romany @ 16.521
6 tuscan @ 18.441
7 tuscan @ 19.033
8 tuscan @ 19.615
9 romanian @ 20.743
10 utahn-white @ 22.389

Using 2 populations approximation:
1 50% italian +50% spaniard @ 5.592
2 50% italian +50% spaniard @ 5.751
3 50% romanian +50% spain-basc @ 5.817
4 50% bulgarian +50% spain-basc @ 5.874
5 50% basque +50% romanian @ 6.228
6 50% sardinian +50% ukranian @ 6.281
7 50% basque +50% bulgarian @ 6.282
8 50% french +50% italian @ 6.571
9 50% sardinian +50% slovenian @ 7.049
10 50% spaniard +50% spaniard @ 7.087

Using 3 populations approximation:
1 50% basque +25% belorussian +25% palestinian @ 3.127
2 50% orcadian +25% morocco-jew +25% sardinian @ 3.247
3 50% spaniard +25% morocco-jew +25% orcadian @ 3.275
4 50% basque +25% palestinian +25% ukranian @ 3.366
5 50% spaniard +25% romanian +25% spaniard @ 3.390
6 50% basque +25% belorussian +25% jordanian @ 3.418
7 50% basque +25% belorussian +25% samaritian @ 3.467
8 50% spaniard +25% morocco-jew +25% utahn-white @ 3.472
9 50% basque +25% egypt +25% ukranian @ 3.488
10 50% spaniard +25% british +25% morocco-jew @ 3.500

Using 4 populations approximation:
1 basque + morocco-jew + spaniard + ukranian @ 2.786
2 basque + finnish + morocco-jew + sardinian @ 3.026
3 morocco-jew + spain-basc + spaniard + ukranian @ 3.102
4 basque + morocco-jew + spaniard + ukranian @ 3.126
5 basque + basque + belorussian + palestinian @ 3.127
6 lithuanian + morocco-jew + sardinian + spain-basc @ 3.128
7 basque + morocco-jew + slovenian + spaniard @ 3.182
8 basque + belorussian + morocco-jew + spaniard @ 3.185
9 morocco-jew + n-european + spain-basc + spaniard @ 3.188
10 finnish + morocco-jew + sardinian + spain-basc @ 3.207
11 morocco-jew + n-european + spain-basc + spaniard @ 3.208
12 n-european + sephardic-jew + spain-basc + spaniard @ 3.229
13 morocco-jew + slovenian + spain-basc + spaniard @ 3.240
14 morocco-jew + orcadian + orcadian + sardinian @ 3.247
15 morocco-jew + orcadian + spaniard + spaniard @ 3.275
16 basque + morocco-jew + slovenian + spaniard @ 3.333
17 n-european + sephardic-jew + spain-basc + spaniard @ 3.341
18 morocco-jew + orcadian + sardinian + utahn-white @ 3.361
19 basque + basque + palestinian + ukranian @ 3.366
20 basque + morocco-jew + n-european + spaniard @ 3.388

Quote:

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Originally Posted by plastictuga

MDLP World
Using 4 populations approximation:
1 Ire8 + Serbian + Sephardim + Sardinian @ 0.802

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Strange combination.

MDLP K=11 Oracle

Admix Results (sorted):

# Population Percent
1 Mediterranean 32.5
2 Caucasian 21.87
3 East_European 18.39
4 Celto_Germanic 10.86
5 Iberian 7.02
6 South_Central_Asian 3.81
7 Paleo_Balkanic 2.44
8 Uralic_Permic 1.66
9 Paleo_North_European 1.05
10 Volga_Uralic 0.41

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.9% GRK (Greek) + 29.1% GER (German) @ 3.44
2 72.6% CITAL (Central-Italian) + 27.4% CUKR (Central-Ukrainian) @ 3.46
3 59.3% CITAL (Central-Italian) + 40.7% BSN (Bosnian) @ 3.54
4 74% CITAL (Central-Italian) + 26% RUS (Russian) @ 3.75
5 74.6% CITAL (Central-Italian) + 25.4% SRUS (South-Russian) @ 3.79
6 71.8% CITAL (Central-Italian) + 28.2% UKR (Ukrainian) @ 3.88
7 70.7% CITAL (Central-Italian) + 29.3% WUKR (West-Ukrainian) @ 3.95
8 75.4% CITAL (Central-Italian) + 24.6% CRUS (Central-Russian) @ 3.99
9 73.5% CITAL (Central-Italian) + 26.5% EUKR (East-Ukrainian) @ 3.99
10 76.2% CITAL (Central-Italian) + 23.8% MLD (Moldovian) @ 4.02
11 76.4% CITAL (Central-Italian) + 23.6% BLR (Belarusian) @ 4.02
12 78.4% CITAL (Central-Italian) + 21.6% LTH (Lithuanian) @ 4.03
13 63.1% SIC (Sicilian) + 36.9% SLK (Slovak) @ 4.16
14 74.8% CITAL (Central-Italian) + 25.2% POL (Polish) @ 4.19
15 72.7% SIC (Sicilian) + 27.3% ETN (Estonian) @ 4.22
16 77.6% CITAL (Central-Italian) + 22.4% LTV (Latvian) @ 4.25
17 73.9% CITAL (Central-Italian) + 26.1% MRD (Erzya) @ 4.32
18 73.7% SIC (Sicilian) + 26.3% LTV (Latvian) @ 4.39
19 57.8% SIC (Sicilian) + 42.2% HNG (Hungarian) @ 4.42
20 67.6% SIC (Sicilian) + 32.4% UKR (Ukrainian) @ 4.62

MDLP World Oracle

Admix Results (sorted):

# Population Percent
1 South_and_West_European 43.65
2 North_and_East_European 21.1
3 Caucaus_Parsia 17.67
4 Middle_East 16.46
5 North_Asian 0.51
6 Mesoamerican 0.29
7 Arctic_Amerind 0.14
8 Melanesian 0.13
9 Sub_Saharian 0.05


Single Population Sharing:

# Population (source) Distance
1 Greek_North 4.05
2 Greek_South 4.58
3 Gagauz 5.28
4 Ashkenazim_V 5.35
5 Greek_Center 7.43
6 Bulgarian 7.76
7 Italian-Center 8.43
8 Greek_East 8.8
9 Italian-North 9.09
10 Jew_Romania 9.63
11 Romania 9.94
12 Macedonian 10.21
13 Italian-South 11.25
14 Montenegrin 11.53
15 Italian_North 11.82
16 Sicilian 12.55
17 Provancal 13.22
18 Corsican 13.49
19 Swiss 13.68
20 Serbian 13.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 78.9% Greek_East + 21.1% Belarusian_V @ 0.49
2 79.4% Greek_East + 20.6% Polish_V @ 0.52
3 78% Greek_East + 22% Sorb @ 0.57
4 84.7% Greek_Center + 15.3% Lithuanian_V @ 0.59
5 83.7% Greek_Center + 16.3% Belarusian @ 0.6
6 85.3% Greek_Center + 14.7% Lithuanian @ 0.64
7 75.4% Greek_East + 24.6% Slovakian @ 0.64
8 85.8% Greek_Center + 14.2% Latvian @ 0.64
9 72.9% Greek_East + 27.1% Croatian_V @ 0.66
10 80.1% Italian-Center + 19.9% Russian_South @ 0.67
11 80.3% Greek_East + 19.7% Polish @ 0.69
12 69.2% Montenegrin + 30.8% Cypriot @ 0.72
13 61.2% Macedonian + 38.8% Greek_Cretan @ 0.73
14 82.4% Greek_East + 17.6% Lithuanian_V @ 0.75
15 77.7% Italian-Center + 22.3% Ukrainian_V @ 0.76
16 85.7% Greek_Center + 14.3% Estonian @ 0.79
17 82.9% Greek_Center + 17.1% Polish @ 0.79
18 76.6% Greek_East + 23.4% Ukrainian-West @ 0.8
19 76.2% Greek_Center + 23.8% Croatian_V @ 0.8
20 79.5% Italian-Center + 20.5% Ukrainian-East @ 0.81