Sephardic Jew results - confusing me!

[hep12]

Hi everyone,

I recently took the AncestryDNA test as well as the Gedmatch tests to further dig into my roots - however the more I do it, the more confusing it gets! Can someone help me interpret my results?
Little back story to my heritage, I am Finnish from my dad's side (not much mixing in there) and I am Israeli (more specifically Moroccan and Berber Jew from my mom's side). However, when I run tests in Gedmatch, it keeps giving me results that differ, I was wondering what is the most accurate one when you're trying to trace your Jewish roots?

My AncestryDNA results are:
47% Finland/Northwest Russia
19% Middle-East
10% Iberian Peninsula
9% Europe South
5% European Jewish
3% Great Britan
3% Caucasus
3% Africa North
1% Europe East

My Gedmatch results:

Harappaworld;

Using 1 population approximation:
1 serbian_harappa @ 12.575078
2 romanian-a_behar @ 14.136054
3 hungarian_behar @ 14.294275
4 slovenian_xing @ 14.575562
5 bulgarian_yunusbayev @ 15.811015
6 ukranian_yunusbayev @ 20.169365
7 n-european_xing @ 22.863562
8 french_hgdp @ 23.156271
9 utahn-white_hapmap @ 24.532801
10 mordovian_yunusbayev @ 24.589983
11 utahn-white_1000genomes @ 24.675043
12 italian_hgdp @ 25.187271
13 chuvash_behar @ 25.744970
14 russian_behar @ 25.781174
15 belorussian_behar @ 26.200186
16 british_1000genomes @ 26.645145
17 tuscan_1000genomes @ 26.786060
18 tuscan_hgdp @ 26.810146
19 tuscan_hapmap @ 26.976593
20 russian_hgdp @ 27.887581

Using 2 populations approximation:
1 50% finnish_1000genomes +50% morocco-jew_behar @ 4.036164


Using 3 populations approximation:
1 50% finnish_1000genomes +25% georgian_harappa +25% tunisia_henn2012 @ 3.251238


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++
1 bulgarian_yunusbayev + egyptian_behar + finnish_1000genomes + n-european_xing @ 2.417873
2 egypt_henn2012 + finnish_1000genomes + hungarian_behar + romanian-a_behar @ 2.446947
3 bulgarian_yunusbayev + egyptian_behar + finnish_1000genomes + utahn-white_hapmap @ 2.488486
4 bulgarian_yunusbayev + egyptian_behar + finnish_1000genomes + utahn-white_1000genomes @ 2.566602
5 egypt_henn2012 + finnish_1000genomes + romanian-a_behar + slovenian_xing @ 2.578965
6 belorussian_behar + egypt_henn2012 + finnish_1000genomes + tuscan_hgdp @ 2.601278
7 egypt_henn2012 + finnish_1000genomes + mordovian_yunusbayev + tuscan_hapmap @ 2.621166
8 belorussian_behar + egypt_henn2012 + finnish_1000genomes + tuscan_1000genomes @ 2.630321
9 belorussian_behar + egypt_henn2012 + finnish_1000genomes + tuscan_hapmap @ 2.649572
10 egypt_henn2012 + finnish_1000genomes + mordovian_yunusbayev + tuscan_hgdp @ 2.653348
11 egyptian_behar + finnish_1000genomes + italian_hgdp + ukranian_yunusbayev @ 2.653923
12 egypt_henn2012 + finnish_1000genomes + hungarian_behar + serbian_harappa @ 2.655774
13 egyptian_behar + finnish_1000genomes + n-european_xing + romanian-a_behar @ 2.662302
14 bulgarian_yunusbayev + egypt_henn2012 + finnish_1000genomes + n-european_xing @ 2.672710
15 egypt_henn2012 + finnish_1000genomes + mordovian_yunusbayev + tuscan_1000genomes @ 2.706630
16 french_hgdp + mordovian_yunusbayev + russian_behar + yemen-jew_behar @ 2.737973
17 bulgarian_yunusbayev + egypt_henn2012 + finnish_1000genomes + hungarian_behar @ 2.749353
18 egypt_henn2012 + finnish_1000genomes + tuscan_hgdp + ukranian_yunusbayev @ 2.770761
19 egypt_henn2012 + finnish_1000genomes + tuscan_hapmap + ukranian_yunusbayev @ 2.774223
20 british_1000genomes + bulgarian_yunusbayev + egyptian_behar + finnish_1000genomes @ 2.796594

Using Eurogenes v2 k15:

Using 1 population approximation:
1 Serbian @ 8.381973
2 Romanian @ 9.256402
3 Bulgarian @ 10.669116
4 Austrian @ 12.353434
5 Moldavian @ 13.406956
6 Croatian @ 13.616377
7 Hungarian @ 14.455203
8 Greek @ 17.791407
9 Greek_Thessaly @ 17.883860
10 East_German @ 18.289251
11 North_Italian @ 18.791840
12 Tuscan @ 18.998528
13 South_Polish @ 20.334011
14 Ukrainian_Lviv @ 20.384373
15 French @ 21.053926
16 Italian_Abruzzo @ 21.319046
17 Ukrainian @ 21.402283
18 Portuguese @ 21.503235
19 Spanish_Galicia @ 21.544121
20 South_Dutch @ 21.591356

Using 2 populations approximation:
1 50% Russian_Smolensk +50% West_Sicilian @ 6.124344


Using 3 populations approximation:
1 50% Estonian_Polish +25% Jordanian +25% Spanish_Castilla_La_Mancha @ 4.203210


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++
1 Bedouin + East_Finnish + Russian_Smolensk + Spanish_Andalucia @ 3.556633
2 Jordanian + Kargopol_Russian + Russian_Smolensk + Spanish_Aragon @ 3.561603
3 East_Finnish + Jordanian + Russian_Smolensk + Spanish_Castilla_La_Mancha @ 3.564006
4 Jordanian + Kargopol_Russian + La_Brana-1 + Spanish_Andalucia @ 3.584006
5 Bedouin + La_Brana-1 + Southwest_Russian + Spanish_Andalucia @ 3.611268
6 Bedouin + Kargopol_Russian + La_Brana-1 + Spanish_Andalucia @ 3.614950
7 Jordanian + Kargopol_Russian + La_Brana-1 + Spanish_Castilla_La_Mancha @ 3.620360
8 East_Finnish + Jordanian + Russian_Smolensk + Spanish_Aragon @ 3.628429
9 Jordanian + Kargopol_Russian + Russian_Smolensk + Spanish_Castilla_La_Mancha @ 3.628488
10 East_Finnish + Jordanian + Russian_Smolensk + Spanish_Andalucia @ 3.637401
11 Bedouin + Kargopol_Russian + Russian_Smolensk + Spanish_Aragon @ 3.639548
12 Bedouin + La_Brana-1 + Spanish_Andalucia + Ukrainian_Belgorod @ 3.645664
13 Bedouin + Kargopol_Russian + Russian_Smolensk + Spanish_Castilla_La_Mancha @ 3.647788
14 Bedouin + East_Finnish + Russian_Smolensk + Spanish_Castilla_La_Mancha @ 3.657189
15 Jordanian + La_Brana-1 + Southwest_Russian + Spanish_Castilla_La_Mancha @ 3.671401
16 Jordanian + Kargopol_Russian + Polish + Spanish_Castilla_La_Mancha @ 3.674288
17 Jordanian + Kargopol_Russian + Polish + Spanish_Aragon @ 3.683867
18 Erzya + Jordanian + La_Brana-1 + Spanish_Aragon @ 3.692449
19 Bedouin + La_Brana-1 + Spanish_Castilla_La_Mancha + Ukrainian_Belgorod @ 3.692475
20 Bedouin + La_Brana-1 + Southwest_Russian + Spanish_Castilla_La_Mancha @ 3.699501

Done.

Using Jtest:
Using 1 population approximation:
1 Serbian @ 11.162678
2 RO @ 12.747340
3 HU @ 13.800715
4 AT @ 14.172833
5 North_Italian @ 19.086346
6 PT @ 20.123350
7 West_&_Central_German @ 20.308254
8 FR @ 20.313442
9 NL @ 21.711521
10 ES @ 22.131872
11 Tuscan @ 22.331032
12 Cornish @ 23.263227
13 PL @ 23.402075
14 English @ 23.840900
15 UA @ 23.846704
16 DK @ 24.029972
17 Ukrainian-Russian @ 24.113621
18 West_Russian @ 24.302309
19 North_Swedish @ 24.494316
20 Orcadian @ 24.527040

Using 2 populations approximation:
1 50% South_Finnish +50% South_Italian_&_Sicilian @ 7.836487


Using 3 populations approximation:
1 50% East_Russian +25% French_Basque +25% Samaritan @ 5.413976


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++
1 Erzya + GR + Moroccan + North_Swedish @ 4.270351
2 Erzya + Moroccan + North_Swedish + South_Italian_&_Sicilian @ 4.461556
3 Algerian + Cornish + RO + Udmurt @ 4.650008
4 Algerian + RO + Udmurt + West_&_Central_German @ 4.695394
5 GR + Moroccan + North_Russian + North_Swedish @ 4.710089
6 GR + Moroccan + North_Swedish + Udmurt @ 4.723075
7 Erzya + Moroccan + South_Finnish + South_Italian_&_Sicilian @ 4.742347
8 Algerian + English + RO + Udmurt @ 4.766947
9 Algerian + NL + RO + Udmurt @ 4.795683
10 Erzya + GR + Moroccan + NO @ 4.811542
11 Algerian + Orcadian + RO + Udmurt @ 4.864714
12 Algerian + RO + Scottish + Udmurt @ 4.873975
13 Algerian + Cornish + Erzya + RO @ 4.877684
14 Erzya + GR + Moroccan + South_&_Central_Swedish @ 4.891271
15 Algerian + FR + Serbian + Udmurt @ 4.893066
16 DK + Erzya + GR + Moroccan @ 4.906916
17 East_Russian + GR + Moroccan + North_Swedish @ 4.959796
18 Moroccan + North_Swedish + South_Italian_&_Sicilian + Udmurt @ 4.964980
19 Erzya + GR + Moroccan + South_Finnish @ 4.965866
20 Moroccan + North_Russian + North_Swedish + South_Italian_&_Sicilian @ 4.968584

Done.




Cheers

[Sikeliot]

Your Jewish side can be modeled as south Italian.

[de Burgh II]

You can try the Eurogenes Jtest on Gedmatch that specializes in detecting Jewish ancestry. PuntDNAL k13 global and MDLP k23 are decent calculators you can try.

[Leto]

Interesting background. Try Eurogenes K13 and Dodecad K7b please.

[hep12]

Thanks for your answers! I have done the PuntDNAL k13 global and MDLP k23 tests and here are the results:

PuntDNAL k13:
Least-squares method.

Using 1 population approximation:
1 Moldavian @ 12.169497
2 Bosnian @ 13.701181
3 Slovene @ 14.462977
4 Slovak @ 14.653024
5 Romanian @ 14.927066
6 Serbian @ 15.101144
7 Croatian @ 15.178839
8 Hungarian @ 15.687654
9 Montenegrin @ 15.714264
10 Macedonian @ 17.768969
11 Bulgarian @ 17.947914
12 Ukrainian @ 17.977480
13 German_North @ 18.739784
14 English @ 19.093925
15 Belgian @ 19.183956
16 German_South @ 19.308849
17 Utahn_European @ 19.508230
18 French @ 20.061937
19 Tatar @ 20.117846
20 Irish @ 20.263823

Using 2 populations approximation:
1 50% Finnish +50% Sephardic_Jew @ 4.978156


Using 3 populations approximation:
1 50% English +25% Finnish +25% Saudi @ 3.494635


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++
1 Finnish + Russian + Spaniard + Yemeni @ 3.134887
2 Finnish + Mordovian + Spaniard + Yemeni @ 3.299950
3 Egyptian_Copts + Finnish + Macedonian + Russian @ 3.323564
4 Egyptian_Copts + Finnish + Finnish + Italian_Tuscan @ 3.377879
5 Belgian + Mordovian + Russian + Saudi @ 3.395144
6 Bulgarian + Egyptian_Copts + Finnish + Russian @ 3.423484
7 Finnish + Mordovian + Saudi + Spaniard @ 3.442888
8 Egyptian_Copts + Finnish + Romanian + Russian @ 3.459853
9 Egyptian + Finnish + Finnish + Italian_Abruzzo @ 3.492399
10 English + English + Finnish + Saudi @ 3.494635
11 English + Mordovian + Russian + Saudi @ 3.500854
12 English + Finnish + Saudi + Utahn_European @ 3.503318
13 French + Russian + Russian + Saudi @ 3.506034
14 Egyptian_Copts + Finnish + Mordovian + Serbian @ 3.519413
15 Mordovian + Mordovian + Saudi + Utahn_European @ 3.526556
16 Mordovian + Russian + Saudi + Utahn_European @ 3.532093
17 Egyptian_Copts + Finnish + Montenegrin + Russian @ 3.535674
18 Belgian + Russian + Russian + Saudi @ 3.538607
19 French + Mordovian + Russian + Saudi @ 3.546306
20 Egyptian_Copts + Finnish + Russian + Serbian @ 3.559195

Done.


MDLP 23:
Using 1 population approximation:
1 Bulgarian_ @ 11.620694
2 Macedonian_ @ 12.025689
3 Montenegrian_ @ 12.039408
4 Italian_North_ @ 12.648816
5 Serb_Serbia_ @ 12.675282
6 German-Volga_ @ 12.743643
7 German_East_ @ 13.370058
8 Romanian_ @ 14.118360
9 Austrian_ @ 14.870780
10 Gagauz_ @ 14.968468
11 Serb_BH_ @ 15.300819
12 South_German_ @ 15.453333
13 Greek_Northwest_ @ 15.500386
14 Croat_ @ 15.822757
15 Greek_Thessaloniki_ @ 16.028578
16 Bosnian_ @ 16.094378
17 Greek_Peloponnesos_ @ 16.116669
18 Kosovar_ @ 16.196550
19 Hungarian_Budapest_ @ 16.243980
20 Greek_Thessaly_ @ 16.531837

Using 2 populations approximation:
1 50% Finnish-East_ +50% Sephardic_Jew_ @ 3.174947


Using 3 populations approximation:
1 50% Erzya_ +25% Samaritian_ +25% Spanish_Murcia_IBS_ @ 2.485328




I'm now even more confused, hehe! Why does it show now that I have Saudi and Egyptian Copt blood in me? To my knowledge, there isn't any of that in our family.

[RN97]

Your Jewish side can be modeled as south Italian.

No toy batty boy

I am Israeli (more specifically Moroccan and Berber Jew from my mom's side)

[Sikeliot]

No toy batty boy

Take another look.. his Jewish side can be modeled that way.

Using 2 populations approximation:
1 50% Russian_Smolensk +50% West_Sicilian @ 6.124344

Using 2 populations approximation:
1 50% South_Finnish +50% South_Italian_&_Sicilian @ 7.836487

[hep12]

Ok, I have also completed the Eurogenes k13 and Dodecad K7b as advised

Here are the results:
Eurogenes k13;
Least-squares method.

Using 1 population approximation:
1 Serbian @ 7.467768
2 Romanian @ 9.022642
3 Bulgarian @ 10.882020
4 Moldavian @ 11.623930
5 Hungarian @ 12.895763
6 Croatian @ 13.750011
7 Austrian @ 16.833832
8 Greek_Thessaly @ 18.237162
9 East_German @ 18.579220
10 Ukrainian_Lviv @ 19.961161
11 South_Polish @ 20.772999
12 Ukrainian @ 21.516897
13 West_German @ 21.696796
14 North_Italian @ 21.860134
15 Tuscan @ 22.358044
16 French @ 22.898432
17 South_Dutch @ 23.474699
18 Tatar @ 23.490934
19 Southwest_Russian @ 24.354261
20 Polish @ 24.442081

Using 2 populations approximation:
1 50% Algerian_Jewish +50% Finnish @ 4.594211


Using 3 populations approximation:
1 50% Belorussian +25% Jordanian +25% Spanish_Murcia @ 3.107823


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++
1 Egyptian + Finnish + North_Italian + Southwest_Russian @ 2.358494
2 Egyptian + Finnish + North_Italian + Ukrainian_Belgorod @ 2.406611
3 Egyptian + Finnish + North_Italian + Russian_Smolensk @ 2.458874
4 Croatian + Egyptian + Serbian + Southwest_Finnish @ 2.469142
5 East_German + Egyptian + Finnish + Romanian @ 2.476300
6 Bulgarian + East_German + Egyptian + Finnish @ 2.490369
7 Egyptian + Finnish + North_Italian + Polish @ 2.494936
8 Egyptian + Finnish + North_Italian + Ukrainian @ 2.516191
9 Egyptian + Estonian + Greek_Thessaly + North_Swedish @ 2.541824
10 Egyptian + North_Swedish + Romanian + Ukrainian @ 2.556061
11 Bulgarian + Egyptian + North_Swedish + Ukrainian @ 2.565010
12 Egyptian + Estonian + Finnish + Tuscan @ 2.596581
13 Egyptian + Finnish + Hungarian + Serbian @ 2.605617
14 Egyptian + Lithuanian + Southwest_Finnish + Tuscan @ 2.610790
15 Egyptian + Finnish + North_Italian + Ukrainian_Lviv @ 2.614936
16 Egyptian + Finnish + Polish + Tuscan @ 2.622554
17 Egyptian + Estonian_Polish + Finnish + North_Italian @ 2.623140
18 Egyptian + North_Italian + Southwest_Finnish + Ukrainian_Belgorod @ 2.625164
19 Austrian + East_Finnish + Egyptian + Serbian @ 2.625543
20 Egyptian + North_Italian + Southwest_Finnish + Southwest_Russian @ 2.628263

Done.


Dodecad k7b:
Least-squares method.

Using 1 population approximation:
1 Romanians_Behar @ 5.877858
2 Bulgarians_Yunusbayev @ 6.104765
3 Bulgarian_Dodecad @ 6.890681
4 N_Italian_Dodecad @ 8.034263
5 North_Italian_HGDP @ 9.898177
6 O_Italian_Dodecad @ 10.171319
7 Tuscan_HGDP @ 12.456216
8 TSI30_Metspalu @ 12.663816
9 Baleares_1000Genomes @ 13.589664
10 Extremadura_1000Genomes @ 14.126943
11 Portuguese_Dodecad @ 14.749452
12 Galicia_1000Genomes @ 14.774673
13 Andalucia_1000Genomes @ 14.834840
14 Murcia_1000Genomes @ 14.840900
15 Spaniards_Behar @ 14.912134
16 Canarias_1000Genomes @ 16.394388
17 Cataluna_1000Genomes @ 16.422285
18 Castilla_Y_Leon_1000Genomes @ 16.509092
19 Castilla_La_Mancha_1000Genomes @ 16.512970
20 Spanish_Dodecad @ 16.673662

Using 2 populations approximation:
1 50% FIN30_1000Genomes +50% Morocco_Jews_Behar @ 1.988826


Using 3 populations approximation:
1 50% Canarias_1000Genomes +25% FIN30_1000Genomes +25% Kumyks_Yunusbayev @ 1.453874


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++
1 Canarias_1000Genomes + Palestinian_HGDP + Russian_HGDP + Russian_B_Behar @ 1.074181
2 Bedouin_HGDP + Castilla_La_Mancha_1000Genomes + Mordovians_Yunusbayev + Mordovians_Yunusbayev @ 1.102336
3 Bedouin_HGDP + Mordovians_Yunusbayev + Mordovians_Yunusbayev + Spanish_Dodecad @ 1.102345
4 Bedouin_HGDP + Mordovians_Yunusbayev + Mordovians_Yunusbayev + Spaniards_Behar @ 1.109742
5 Bedouin_HGDP + Mordovians_Yunusbayev + Mordovians_Yunusbayev + Valencia_1000Genomes @ 1.117302
6 Canarias_1000Genomes + Palestinian_HGDP + Russian_HGDP + Russian_Dodecad @ 1.129798
7 Canarias_1000Genomes + Jordanians_Behar + Mixed_Slav_Dodecad + Russian_HGDP @ 1.151573
8 Baleares_1000Genomes + Bedouin_HGDP + Mordovians_Yunusbayev + Russian_B_Behar @ 1.163126
9 Canarias_1000Genomes + Jordanians_Behar + Russian_HGDP + Russian_B_Behar @ 1.191821
10 Canarias_1000Genomes + Mordovians_Yunusbayev + Palestinian_HGDP + Russian_Dodecad @ 1.197015
11 Baleares_1000Genomes + Bedouin_HGDP + Mordovians_Yunusbayev + Russian_Dodecad @ 1.199836
12 Bedouin_HGDP + Extremadura_1000Genomes + Mordovians_Yunusbayev + Russian_B_Behar @ 1.204482
13 Canarias_1000Genomes + Jordanians_Behar + Russian_HGDP + Russian_Dodecad @ 1.209096
14 Andalucia_1000Genomes + Bedouin_HGDP + Mordovians_Yunusbayev + Russian_B_Behar @ 1.228543
15 Bedouin_HGDP + Extremadura_1000Genomes + Mordovians_Yunusbayev + Russian_Dodecad @ 1.248430
16 Bedouin_HGDP + Finnish_Dodecad + O_Italian_Dodecad + Russian_B_Behar @ 1.258799
17 Aragon_1000Genomes + Bedouin_HGDP + Mordovians_Yunusbayev + Mordovians_Yunusbayev @ 1.262855
18 Andalucia_1000Genomes + Bedouin_HGDP + Mordovians_Yunusbayev + Russian_Dodecad @ 1.269106
19 Bedouin_HGDP + Castilla_Y_Leon_1000Genomes + Mordovians_Yunusbayev + Mordovians_Yunusbayev @ 1.282015
20 Bedouin_HGDP + Galicia_1000Genomes + Mordovians_Yunusbayev + Russian_B_Behar @ 1.290083

Done.

[Dick]

harappaworld and eurogenes are outdated calcs. Puntdnal and Mldp are better. Do mldp k16.

[hep12]

Ok, here's mldp k16


Least-squares method.

Using 1 population approximation:
1 Romanian_Gorj @ 5.513155
2 Moldavian_Molodva @ 5.558883
3 Romanian_Apuseni @ 5.668575
4 Swiss_Switzerland @ 6.463913
5 Montenegrian_Montenegro @ 6.774025
6 Italian_Friul @ 7.183373
7 Macedonian_Macedonia @ 7.274703
8 Romanian_Romania @ 7.437394
9 Serbian_Serbia @ 7.599525
10 Bulgarian_Bulgaria @ 7.763017
11 Austrian_Austria @ 8.257516
12 Croat_Bosnia-Herzegovina @ 8.308509
13 Provencal_Provence @ 8.384298
14 Bosnian_Bosnia-Herzegovina @ 8.403916
15 Serbian_Bosnia-Herzegovina @ 8.516323
16 Gagauz_Gagauzia @ 8.595342
17 Croat_Croatia @ 9.101070
18 Italian_NorthIitaly @ 9.516902
19 Bulgarian_Bulgaria @ 9.548062
20 German_SouthGermany @ 10.308864

Using 2 populations approximation:
1 50% Jew_Bulgaria +50% Icelandic_Iceland @ 2.547673


Using 3 populations approximation:
1 50% Jew_Bulgaria +25% Finn_EastFinland +25% Scottish_Argyll_bute @ 1.784938


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Finn_EastFinland + Italian_SouthItaly + Scottish_Argyll_bute + Jew_Turkey @ 1.645214
2 Jew_Algeria + Jew_Ashkenazi + Finn_EastFinland + Scottish_Argyll_bute @ 1.665427
3 Jew_Ashkenazi + Finn_EastFinland + Scottish_Argyll_bute + Jew_Turkey @ 1.665882
4 Jew_Algeria + Finn_EastFinland + Italian_SouthItaly + Scottish_Argyll_bute @ 1.721721
5 Jew_Ashkenazi + Finn_EastFinland + Jew_Italian + Scottish_Argyll_bute @ 1.729494
6 Jew_Ashkenazi + Finn_Kuusamo + Scottish_Argyll_bute + Jew_Turkey @ 1.730872
7 Finn_EastFinland + Scottish_Argyll_bute + Sicilian_Sicily + Jew_Turkey @ 1.733958
8 Jew_Algeria + Jew_Ashkenazi + Finn_Kuusamo + Scottish_Argyll_bute @ 1.758245
9 Jew_Ashkenazi + Finn_EastFinland + Orcadian_Orkney_Islands + Jew_Turkey @ 1.758639
10 Jew_Ashkenazi + Jew_Bulgaria + Finn_EastFinland + Scottish_Argyll_bute @ 1.765757
11 Jew_Bulgaria + Jew_Bulgaria + Finn_EastFinland + Scottish_Argyll_bute @ 1.784938
12 Jew_Ashkenazi + Jew_Bulgaria + English_Cornwall + Finn_EastFinland @ 1.796433
13 Jew_Algeria + Jew_Ashkenazi + Finn_EastFinland + Orcadian_Orkney_Islands @ 1.813403
14 Jew_Bulgaria + Finn_EastFinland + Italian_SouthItaly + Scottish_Argyll_bute @ 1.814058
15 Finn_EastFinland + Italian_SouthItaly + Orcadian_Orkney_Islands + Jew_Turkey @ 1.822085
16 Finn_EastFinland + Italian_Abruzzo + Scottish_Argyll_bute + Jew_Turkey @ 1.835326
17 Finn_EastFinland + Jew_Italian + Italian_SouthItaly + Scottish_Argyll_bute @ 1.850100
18 Jew_Ashkenazi + Jew_Bulgaria + Finn_Kuusamo + Scottish_Argyll_bute @ 1.854980
19 Jew_Ashkenazi + Finn_EastFinland + Jew_Italian + Orcadian_Orkney_Islands @ 1.860220
20 Jew_Ashkenazi + Jew_Bulgaria + Finn_EastFinland + Irish_Cork_Kerry @ 1.863624

Done.