i want to see what you all are virtually a mix of :)
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i want to see what you all are virtually a mix of :)
EthioHelix K10:
Spoiler!
Africa9 Dodecad:
Spoiler!
World9 Dodecad:
Spoiler!
Gedrosia K12:
Spoiler!
Ancient Eurasia K6:
Spoiler!
MDLP K16:
Spoiler!
Eurogenes K13:
Spoiler!
^ so yeah, usually a mix of african populations that are admixed with arab or berber, and or other afro-caribbean populations.
I can be rendered as 50% fulani and 50% euro mostly.
Eurogenes K13 is most basic/reliable calculator for Europeans
1 50% Austrian +50% Moldavian @ 3.638456
Eurogenes K13
Using 2 populations approximation:
1 50% South_Dutch +50% Southeast_English @ 2.630886
50% North_Swedish + 50% Croat
K13
This is from the non 4 way Oracle:
61.4% West_German + 38.6% Austrian @ 1.37
This is from the 4 way Oracle:
50% Austrian + 50% South_Dutch @ 1.581100
They are very similar.
Eurogenes K13 Oracle results:
55.9% Hungarian + 44.1% Bulgarian
Dodecad K12b Oracle results:
58.9% Bulgarian (Dodecad) + 41.1% German (Dodecad) @ 1.43
puntDNAL K12 Modern Oracle results:
50.1% Bulgarian + 49.9% French @ 2.53
54.9% Tuscan + 45.1% Scottish_West @ 2.72
MDLP K23b 4-Ancestors Oracle
1 50% Montenegrian_ +50% Serb_Serbia_ @ 2.336204
Gedrosia K3 4-Ancestors Oracle
50% Greek +50% Ukrainian
MDLP K16 Modern Oracle results:
50.8% Pole (EastPoland) + 49.2% Greek (Thessaloniki) @ 3.33
K13
1 50% Bulgarian +50% French_Basque @ 5.657440
K15
1 50% French +50% North_Italian @ 8.171267
ok that makes sense, what tests would you personally recommend for a dude like me to consider? i personally find world9 dodecad quite interesting as it gives me puerto rican and dominican in my oracles. I havent seen that alot xD
personally i think gedrosia K12 is the worst test for me because it renders me as 50% european, 25% kurdish/iran and 25% yoruba. im nowhere near 25% north african as far as i know..
MDLP K16
1 86.3% Greek (Macedonia) + 13.7% Mansi (Khanty–Mansi) @ 1.54
K13
Using 2 populations approximation:
1 50% East_German +50% Southwest_English @ 3.338512
or closest to 50% via oracle
63.8% Southwest_English + 36.2% Austrian @ 2.08
MDLP K23b
50% Greek_Peloponnesos_ +50% Greek_Peloponnesos_ @ 2.119642
K13
50% Central_Greek +50% Romanian @ 3.467808
Dodecad K12b
50% Cypriots_Behar +50% German_Dodecad @ 2.245424
puntDNAL K13 Global
50% Ashkenazy_Jew +50% Serbian @ 1.830292
Eurogenes K13 closest: 51.8% Norwegian + 48.2% Serbian
Eurogenes K15 closest: 56.9% West_Norwegian + 43.1% Serbian
EUtest closest: 50.2% NO + 49.8% HU
Dodecad V3 closest: 50.5% Romanians_14 (Behar) + 49.5% Norwegian (Dodecad)
MDLP K16 closest: 53.9% Dutch (Netherlands) + 46.1% Croat (Croatia)
MDLP K16
Using 2 populations approximation:
1 50% Bulgarian_Bulgaria +50% Greek_Peloponnes @ 3.103945
MDLP K23
Using 2 populations approximation:
1 50% Austrian_ +50% Greek_Islands_ @ 3.546594
MDLP World
Using 2 populations approximation:
1 50% Greek_North +50% Macedonian @ 1.264406
Eurogenes K13
Using 2 populations approximation:
1 50% Greek_Thessaly +50% Romanian @ 2.342900
Eurogenes K15
Using 2 populations approximation:
1 50% Ashkenazi +50% Serbian @ 3.925787
Eurogenes K36
Using 2 populations approximation:
1 Bulgaria+GR_Thessaly @ 7,538022
Dodecad V3
Using 2 populations approximation:
1 50% Ashkenazi_Dodecad +50% Hungarians_Behar @ 3.427188
Dodecad World9
Using 2 populations approximation:
1 50% O_Italian_Dodecad +50% Bulgarians_Yunusbayev @ 0.912739
Dodecad K12b
Using 2 populations approximation:
1 50% Hungarians_Behar +50% S_Italian_Sicilian_Dodecad @ 2.874411
HarappaWorld
Using 2 populations approximation:
1 50% ashkenazy-jew_behar +50% hungarian_behar @ 2.504532
puntDNAL K12
Using 2 populations approximation:
1 50% Romanian +50% Sicilian_East @ 2.204406
puntDNAL K13
Using 2 populations approximation:
1 50% Italian_Sicilian +50% Moldavian @ 2.297935
puntDNAL K15
Using 2 populations approximation:
1 50% Croatian +50% Ashkenazy_Jew @ 2.517226
Eurogenes EUTest 1 50% EE +50% North_Italian @ 9.929128
Dodecad World9 50% N_Italian_Dodecad +50% Russian_B_Behar @ 1.770296
Dodecad k7b 50% Finnish_Dodecad +50% Tuscan_Henn @ 3.694267
HarappaWOrld 50% italian_hgdp +50% russian_hgdp @ 3.267493
Gedrosia k3 50% Abkhasian +25% Albanian +25% Armenian @ 0.000000
Gedrosia k6 50% Spanish +50% Steppe_MLBA @ 2.481144
PuntDNAL k13 50% Italian_Bergamo +50% Russian @ 4.292356
Not Italian.
You can't get any more closer then this :
Using 2 populations approximation:
1 50% Albanian +50% Slovak @ 2.910537
-----------------------------------------------------
MLDP K16 :
Using 2 populations approximation:
1 50% Bulgarian_Bulgaria +50% Serbian_Serbia @ 3.378537
MDLP K23
Using 2 populations approximation:
1 50% Macedonian_ +50% Montenegrian_ @ 2.257421
MDLP World
Using 2 populations approximation:
1 50% Bosnian +50% Gagauz @ 1.684054
Eurogenes K13 :
Using 2 populations approximation:
1 50% Croatian +50% Greek_Thessaly @ 3.551044
Eurogenes K15 :
Using 2 populations approximation:
1 50% Greek_Thessaly +50% Moldavian @ 4.121952
HarappaWorld :
Using 2 populations approximation:
1 50% romanian-a_behar +50% serbian_harappa @ 1.571797
Dodecad K12b :
Using 2 populations approximation:
1 50% Hungarians_Behar +50% O_Italian_Dodecad @ 3.632808
Dodecad V3 :
1 50% Hungarians_Behar +50% Tuscan_Xing @ 5.499819
I can't go through every calculator but here are some of the major cals like Eurogenes K13 and K15 etc. I'm not actually a mix but fully Irish.
Using 2 populations approximation:
1 50% Irish +50% Norwegian @ 2.341823
Using 2 populations approximation:
1 50% Irish +50% North_Dutch @ 3.078538
Using 2 populations approximation:
1 50% German_Dodecad +50% Mixed_Germanic_Dodecad @ 1.724341
Using 2 populations approximation:
1 50% German_Dodecad +50% Irish_Dodecad @ 0.548439
Using 2 populations approximation:
1 50% Dutch_Netherlands +50% Orcadian_Orkney_Islands @ 2.399938
Eurogenes K13
1 50% North_Italian +50% Spanish_Castilla_Y_Leon @ 2.901601
Eurogenes K15
1 50% Portuguese +50% Portuguese @ 3.727331
Dodecad K12b
1 50% N_Italian_Dodecad +50% Portuguese_Dodecad @ 6.108026
MDLP World 22
1 50% Bulgarian_derived +50% Portugese_derived @ 4.236092
MDLP World
1 50% Bulgarian +50% Portugese @ 2.748824
puntDNAL K10
1 50% Spanish_Southwest +50% Italian_North @ 3.204580
puntDNAL K15
1 50% Portuguese +50% Italian @ 2.709460
Gedrosia K12
1 50% Norwegian +50% Greek @ 9.045801
Mrs. Viriato (using V5 raw data converted to V3):
Eurogenes K13
1 50% Spanish_Cataluna +50% Spanish_Murcia @ 2.681125
Eurogenes K15
1 50% Portuguese +50% Spanish_Galicia @ 6.264176
Dodecad K12b
1 50% Canarias_1000Genomes +50% French_Dodecad @ 6.605156
MDLP World 22
1 50% Macedonian_derived +50% Portugese_derived @ 3.441465
MDLP World
1 50% Macedonian +50% Portugese @ 3.555912
puntDNAL K10
1 50% French +50% Spanish_Southwest @ 3.734513
puntDNAL K15
1 50% Spaniard +50% Portuguese @ 3.877658
Gedrosia K12
1 50% Norwegian +50% Greek @ 8.208414
It changes the values a little and shortens the distances on some runs and increases some distances on others. Nothing extremely drastic to be honest, most runs kept their consistency while others changed a little more. Here are her closest to 50% mixed mode on V5 for comparison:
Eurogenes K13
1 50% Spanish_Cataluna +50% Spanish_Extremadura @ 2.945736
Eurogenes K15
1 50% Spanish_Galicia +50% Spanish_Galicia @ 6.060935
Dodecad K12b
1 50% Canarias_1000Genomes +50% French_Dodecad @ 4.407272
MDLP World 22
1 50% Ashkenazim_V_derived +50% Iberian_derived @ 3.558021
MDLP World
1 50% Ashkenazim_V +50% Portugese @ 4.402149
puntDNAL K10
1 50% Spanish_Northeast +50% Spanish_Northeast @ 4.604945
puntDNAL K15
1 50% Spaniard +50% Portuguese @ 3.282293
Gedrosia K12
1 50% Norwegian +50% Greek @ 8.428006
Admix Results (sorted):
# Population Percent
1 North_Atlantic 46.18
2 Baltic 23.69
3 West_Med 15.10
4 East_Med 5.80
5 West_Asian 3.03
6 Amerindian 2.96
7 South_Asian 2.36
Using 2 populations approximation:
1 50% French +50% Swedish @ 4.090635
Eurogenes k13:
Using 2 populations approximation:
1 50% Ashkenazi +50% North_German @ 2.937447
MDLP K23b:
Using 2 populations approximation:
1 50% Dutch_ +50% Sicilian_Agrigento_ @ 1.979778
Eurogenes k15 v2:
Using 2 populations approximation:
1 50% Italian_Jewish +50% Swedish @ 4.133923
Eurogenes k36:
Using 2 populations approximation:
1 GR_Cyclades+Denmark @ 8,883063
Being mixed as hell makes this...difficult.
1 50% Cornwall_1000Genomes +50% Egyptans_Behar @ 17.020939
1 50% Albanian +50% Dominican @ 6.616580
1 50% Makrani +50% Yemen @ 3.962634
1 50% Mozabite_Berber +50% West_German @ 15.370177
1 50% Sicilian +50% Uzbek @ 17.428968
lol
Usually some variant of 50% Irish/Scottish/English + 50% Romanian/Bulgarian/Serbian
Dodecad K12b
1 50% Bulgarian_Dodecad +50% Kurd_Dodecad @ 5.554389
Dodecad V3
1 50% Assyrian_Dodecad +50% Romanians_14_Behar @ 6.492470
World9
1 50% Ashkenazy_Jews +50% North_Ossetians_Yunusbayev @ 3.653738
MDLP K16
1 50% Iraki_Irak +50% Italian_Abruzzo @ 5.822312
Eurogenes K13
1 50% Chechen +50% Samaritan @ 8.451895
Mine (AncestryDNA):
Eurogenes K13:
Using 2 populations approximation:
1 50% Portuguese +50% Tuscan @ 9.551929
Eurogenes K15:
Using 2 populations approximation:
1 50% Spanish_Cantabria +50% West_Sicilian @ 9.545798
MDLP K16 Modern:
1 50% Jew_Ashkenazi +50% Spanish_Castilla_la_Mancha @ 7.527579
MDLP World22:
Using 2 populations approximation:
1 50% Bulgarian_derived +50% Puerto-Rican_derived @ 3.338355
MDLP K23b:
Using 2 populations approximation:
1 50% Italian_Piedmont_ +50% Puerto_Rican_ @ 4.485512
MDLP World:
Using 2 populations approximation:
1 50% Gagauz +50% Puerto-Rican @ 2.695408
Dodecad V3:
Using 2 populations approximation:
1 50% German_Dodecad +50% Sephardic_Jews_Behar @ 8.281898
Dodecad World9:
Using 2 populations approximation:
1 50% North_Italian_HGDP +50% PUR30 @ 1.940037
Dodecad K7b:
Using 2 populations approximation:
1 50% Algerian_Dodecad +50% Mordovians_Yunusbayev @ 4.926290
Dodecad k12b:
Using 2 populations approximation:
1 50% British_Isles_Dodecad +50% Morocco_Jews_Behar @ 7.357816
Harappa World:
Using 2 populations approximation:
1 50% bulgarian_yunusbayev +50% puerto-rican_1000genomes @ 4.295836
PuntDNAL K12 Modern:
Using 2 populations approximation:
1 50% Bulgarian +50% Spanish_Canaries @ 8.932761
PuntDNAL K13 Global:
Using 2 populations approximation:
1 50% Italian_Bergamo +50% Puerto_Rican @ 2.988608
PuntDNAL K15:
Using 2 populations approximation:
1 50% Brazilian +50% Brazilian @ 4.855466
Gedrosia K12:
Using 2 populations approximation:
1 50% Greek +50% Greek @ 10.572166
Gedrosia Ancient Eurasia:
Using 2 populations approximation:
1 50% Libyan +50% Lithuanian @ 4.096397
Most of the mixed oracles work fine for me.
Eurogenes K13:
1 60.4% East_German + 39.6% Iranian_Jewish @ 5.47
Using 2 populations approximation:
1 50% Cyprian +50% North_Swedish @ 6.682160
puntDNAL K15:
1 78.3% Bulgarian + 21.7% Tadjik @ 2.56
Using 2 populations approximation:
1 50% Norwegian +50% Turk_Kayseri @ 4.594886
MDLP K16 Modern:
1 68.5% Romanian (Apuseni) + 31.5% Iran_Mazandrani (Mazandrani) @ 2.08
Using 2 populations approximation:
1 50% Armenian_Erzrum +50% Cossack_Zaporozhie @ 4.275769
MDLP K23b:
Using 2 populations approximation:
1 50% German-Volga_ +50% Turk_Istanbul_ @ 6.647202
MDLP K16
1 50% GujaratiD_Gujarat +50% Kanjars_Punjab @ 3.344000
Dodecad K12b
1 50% Indian_Dodecad +50% Velamas_Metspalu @ 2.618992
HarappaWorld
1 50% ap-reddy_harappa +50% ap-reddy_harappa @ 2.014750
PuntDNAL K15
1 50% Bengali +50% Tamil_Nadu_SC @ 2.931482
Gedrosia K3
1 50% Balkar +50% Great_Andamanese @ 0.000000
Gedrosia K12
1 50% Piramalai +50% Sindhi @ 4.543225
Gedrosia K6
1 50% Kurd_SE +50% Palliyar @ 1.862179
Eurogenes k13:
Using 2 populations approximation:
1 50% Portuguese +50% Portuguese @ 2.615568
Dodecad V3:
Using 2 populations approximation:
1 50% Portuguese_Dodecad +50% Portuguese_Dodecad @ 4.128263
puntDNAL K15
Using 2 populations approximation:
1 50% Norwegian +50% French @ 3.351665
Idk how meaningful these are for me since I'm 4+ ethnicities