For people like you and me, they're essentially meaningless, but still interesting...
They may not tell you what you are, but what you could be...!
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Gedmatch isn't loading so my Dodecad K12b:
50% Argyll_1000Genomes +50% Ashkenazy_Jews_Behar @ 2.429191
K13:
1 50% Estonian_Polish +50% South_Dutch @ 1.789394
K15:
1 50% Southwest_English +50% Ukrainian_Belgorod @ 2.219588
MDLP K16 Modern:
1 50% Dutch_Netherlands +50% Pole_EastPoland @ 2.163943
puntDNAL K15:
1 50% Belarusian +50% French @ 1.766745
Dodecad V3:
1 50% French_HGDP +50% Mixed_Slav_Dodecad @ 2.798387
23andme V5 raw converted to V3
Eurogenes K13
Using 2 populations approximation:
1 50% Spanish_Castilla_La_Mancha +50% Spanish_Galicia @ 2.842885
Eurogenes K15
Using 2 populations approximation:
1 50% Spanish_Aragon +50% Spanish_Aragon @ 4.667961
Dodecad K12b
Using 2 populations approximation:
1 50% Canarias_1000Genomes +50% French_Dodecad @ 5.120103
puntDNAL K15
Using 2 populations approximation:
1 50% Spaniard +50% Portuguese @ 3.393002
MDLP K16 Modern
Using 2 populations approximation:
1 50% Portuguese_Portugal +50% Spanish_Castilla_y_Leon @ 2.610802
1 50% Irish +50% Moldavian @ 3.263832
It's like my DNA is spread out across Europe :D
50% Spanish_Extremadura +50% Spanish_Extremadura @ 2.612180 on Eurogenes K13
50% Baleares_1000Genomes +50% Canarias_1000Genomes @ 2.312515 on Dodecad K12b
Using 2 populations approximation:
1 50% Italian_Bergamo +50% Spanish_Canarias @ 2.549155
on MDLP K16
Eurogenes K13
50% West_Scottish +50% West_Scottish @ 2.310019
Eurogenes EUTest
1 50% DK +50% Scottish @ 2.965165
Eurogenes K36
1 Dutch_Drenthe+FR_Brittany @ 6,787287
MDLP K11
1 50% Maros_BA +50% Poltavka_MBA_outlier @ 1.785003
MDLP K16
1 50% German_Germany +50% Orcadian_Orkney_Islands @ 2.522028
MDLP K23b
1 50% Dutch_ +50% Frisian_ @ 1.558750
MDLP World 22
1 50% CEU_V_derived +50% German_V_derived @ 2.099217
MDLP World
1 50% German-North +50% German_V @ 1.878669
Dodecad V3
1 50% Orcadian_HGDP +50% Orcadian_HGDP @ 0.595715
Dodecad K7b
1 50% French_HGDP +50% Lithuanian_Dodecad @ 0.363579
Dodecad K12b
1 50% CEU30_1000Genomes +50% Dutch_Dodecad @ 0.678045
PuntDNALK12 Ancient
1 50% Hungary_BA_I1502 +50% BattleAxe_Sweden_SG_RISE94 @ 3.025493
PuntDNAL K12 Modern
1 50% Dutch_North +50% German_South @ 1.437978
PuntDNAL K10 Ancient
1 50% Icelandic +50% German_South @ 1.611073
PuntDNAL K15 Global
1 50% Scottish +50% Scottish @ 2.058780
No ancestry from any of these groups (in recent centuries).
Eurogenes K13
50% Norwegian +50% Tuscan @ 3.937580
Eurogenes EUtest
50% Bulgarian +50% Orcadian @ 4.873870
MDLP K11
1 50% Germany_BA +50% Irish_BA @ 5.349099
MDLP K16
50% Italian_Tuscany +50% Scottish_Argyll_bute @ 4.220280
MDLP K23b
50% Bulgarian_ +50% English_Cornwall_GBR_ @ 3.003797
3-4 pops should be closer than 2. Example Mldp k16:
Using 2 populations approximation:
1 50% Greek_Macedonia +50% Orcadian_Orkney_Islands @ 2.332573
Using 3 populations approximation:
1 50% English_England +25% Greek_Greece +25% Serbian_Bosnia-Herzegovina @ 1.833742
Using 4 populations approximation:
1 Greek_Greece + Irish_Cork_Kerry + Scottish_Highlands + Serbian_Bosnia-Herzegovina @ 1.557010
MDLP 16
1 50% Dutch_Netherlands +50% Scottish_Dumfries_Galloway @ 1.251818
MDLP 23
1 50% Dutch_ +50% Scottish_Argyll_Bute_GBR_ @ 2.217411
Eurogenes 13
1 50% Orcadian +50% West_Scottish @ 2.309369
Eurogenes 15
1 50% Irish +50% Irish @ 2.244315
Dodecad v3
1 50% CEU_HapMap +50% Argyll_1000 Genomes @ 1.956479
Dodecad world9
1 50% Mixed_Germanic_Dodecad +50% CEU30_1000Genomes @ 1.202543
Dodecad 7b
1 50% French_Dodecad +50% Polish_Dodecad @ 0.903706
Dodecad 12b
1 50% British_Dodecad +50% German_Dodecad @ 2.059180
Punt12
1 50% Dutch_South +50% Scottish_West @ 2.143899
Punt13
1 50% Utahn_European +50% Utahn_European @ 3.366435
Punt15
1 50% Polish +50% French @ 1.872065
You have very Slavic-shifted results (even North Swedes are very eastern-shifted).
Here some Eurogenes K13 and K15 results of my family:
My father:
Using 2 populations approximation:
1 50% Austrian +50% Estonian @ 2.915383
My mother:
Mixed Mode Population Sharing:
Primary Population (source) Secondary Population (source) Distance
59.5% Ukrainian_Belgorod + 40.5% North_Swedish @ 3.43
Using 2 populations approximation:
1 50% Hungarian +50% Lithuanian @ 3.390175
Maternal grandmother:
Using 2 populations approximation:
1 50% Austrian +50% Lithuanian @ 2.413419
Me (in K15):
Using 2 populations approximation:
1 50% East_German +50% Ukrainian_Belgorod @ 2.919777
Eurogenes K13 Oracle
1 50% Greek_Thessaly +50% Greek_Thessaly @ 4.963005
Eurogenes EU Test
1 50% Greek_Thessaly +50% Tuscan @ 4.528628
PuntDNAL K12
1 50% Dutch_South +50% Turkish_Jew @ 2.540523
Ancient Eurasia K6
1 50% Albanian +50% Albanian @ 1.607136
For me K13 is quite ok in single mode , but the mixed modes it gives me are not great.
K13
Using 2 populations approximation:
50% Serbian +50% Swedish @ 3.826166
EU Test K15
Using 2 populations approximation:
50% Austrian +50% North_German @ 4.415464
EU Jtest
Using 2 populations approximation:
50% HU +50% Orcadian @ 3.197612
EU Test
Using 2 populations approximation:
50% HU +50% IE @ 2.638281
MDLP K16
Using 2 populations approximation:
1 50% English_Kent +50% Hungarian_Hungary @ 1.920617
MDLP K23
Using 2 populations approximation:
1 50% Croat_BH_ +50% English_Cornwall_GBR_ @ 1.428073
Punt K12 Ancient
Using 2 populations approximation:
1 50% Hungary_BA_I1502 +50% BattleAxe_Sweden_SG_RISE94 @ 3.982111
Dodecad 12b
Using 2 populations approximation:
1 50% Hungarians_Behar +50% Mixed_Germanic_Dodecad @ 2.232518
Eurogenes K13
72.7% Lithuanian +27.3% East_Finnish @3.84
The only constant populations I get in mixed modes are Spanish, Sardinian, Ukrainian, and a Baltic country.
53.6% Spanish_Baleares_IBS ( ) + 46.4% Finn_West ( ) @ 3.94
55.8% Lithuanians + 44.2% Andalucia (1000 Genomes) @ 1.13
Mine is in my signature
Using 2 populations approximation:
K13
1 50% North_German +50% Southwest_English @ 1.908130
K15
1 50% Norwegian +50% Southwest_English @ 3.62424
Don't really feel like digging up the rest unless somebody has a special request, which I don't anticipate.
K13
50% North_Swedish +50% Romanian @ 3.908536
K15
50% Serbian +50% Southwest_Finnish @ 4.706736
This is a broad category... :D
DodecadV3
1 50% Slovenian_Xing +50% Slovenian_Xing @ 2.311951
Eurogenes K13
1 53.2%Velamas+46.8%Italian_Abruzzo@3.89
Eurogenes EUtest
1 52.3%GR+47.7%South_Indian@4.44
HarappaWorld
1 66.6%cochin-jew (behar)+33.4%tuscan (1000genomes)@2.29
I don't know how accurate it is for me...
Dodecad k7b
1 50% Hungarians_Behar +50% O_Italian_Dodecad @ 1.824700
MDLP k16
1 50% Bulgarian_Bulgaria +50% German_Germany @ 2.070158
Eurogenes k13
1 50% Greek_Thessaly +50% Estonian_Polish @ 3.395058
Dodecad V3
1 50% Romanians_14_Behar +50% Slovenian_Xing @ 3.472466
Dodecad k12b
1 50% C_Italian_Dodecad +50% Polish_Dodecad @ 3.598281
MDLP k23b
1 50% Greek_Northwest_ +50% Ukrainian_West_ @ 4.344695
Eurogenes EUtest
1 50% HU +50% RO @ 4.518421
Eurogenes k15
1 50% Estonian_Polish +50% West_Sicilian @ 6.147544
Eurogenes K15
54.1% North_Amerindian +45.9% Spanish_Cataluna @ 16.21
As a tri-racial, this is the closest I could get to 50% + 50% using my preferred calculator. I can see that my Chinese and Amerindian have been fused together.
didnt look up all but this is what eurogenes k13 gives me :
Using 2 populations approximation:
1 50% Kurdish +50% Turkish @ 2.971812
Dodecad K7b : 50% Bulgarian_Dodecad +50% Ukranians_Yunusbayev @ 0.948271
Dodecad V3 : 50% FIN_1000Genomes +50% Greek_Dodecad @ 3.104739
MDLP K11 Modern : 50% British_Celtic +50% Hungary_IronAge @ 5.194819
MDLP K16 Modern : 50% Bulgarian_Bulgaria +50% Pole_Wroclaw @ 2.699208
MDLP K23b : 50% Bulgarian_ +50% Swede_Saami_ @ 2.543303 xD wtf
MDLP World : 50% Ukrainian_V +50% Gagauz @ 1.309503
K13
Using 2 populations approximation:
1 50% Orcadian +50% Serbian @ 1.543447
k15
Using 2 populations approximation:
1 50% Hungarian +50% South_Dutch @ 3.865679
The K15 result is an EXCELLENT approximation of my know ethnicity.
puntdnal k15 :cool: yeah
Using 2 populations approximation:
1 50% Kurdish +50% Kurdish @ 3.160279
These are Mixed Mode Oracles
Eurogenes K15
52.1% Greek + 47.9% South_Italian @ 2.6
MDLP World-22
52% Greek_Cretan (derived) + 48% Gagauz (derived) @ 1.65
puntDNAL K-12
55.3% Spanish_Northeast + 44.7% Georgian_Jew @ 1.96
51.8% French + 48.2% Druze @ 2.19
54.2% French + 45.8% Iranian_Jew @ 2.3
55% Spanish_Southwest + 45% Laz @ 2.32
50.2% Assyrian + 49.8% Spanish_Northeast @ 2.49
Harappa World
50% french (hgdp) + 50% druze (hgdp) @ 3.05
Eurogenes k13:
1 53.5% Romanian + 46.5% Moldavian @ 2.81
Eurogenes k15
6 51% Greek_Thessaly + 49% Ukrainian @ 4.63
MDLP k16 Modern
14 55.5% Belarusian (Kobryn_Brest) + 44.5% Greek (Athens) @ 2.82
Using 2 Populations Approximation
Eurogenes K13
Using 2 populations approximation:
1 50% Greek_Thessaly +50% South_Italian @ 3.838824
Eurogenes K15
Using 2 populations approximation:
1 50% Greek +50% South_Italian @ 2.903000
MDLP K23b
Using 2 populations approximation:
1 50% Cretan_ +50% Greek_Northwest_ @ 2.517064
MDLP K16
Using 2 populations approximation:
1 50% Greek_Azov +50% Italian_Bergamo @ 3.108066
MDLP World-22
Using 2 populations approximation:
1 50% Gagauz_derived +50% Greek_Cretan_derived @ 1.828862
puntDNAL K15
Using 2 populations approximation:
1 50% Greek_Central +50% Ashkenazy_Jew @ 1.805200
Gedrosia K12
Using 2 populations approximation:
1 50% Greek +50% Sicilian @ 6.327291
Eurogenes K13
1 50% French +50% Swedish @ 4.090635
Eurogenes K15
1 50% French +50% Norwegian @ 4.546893
puntDNAL K13
1 50% English +50% German_South @ 5.813975
puntDNAL K15
1 50% Norwegian +50% French @ 3.351665
MDLP K16
1 50% English_Kent +50% French_WestFrance @ 1.811171
MDLP K23b
1 50% Dane_ +50% French_ @ 2.737000
Sehr Skandi :coffee:
Eurogenes K13
50% Norwegian +50% West_Scottish @ 4.257447
Eurogenes K15
50% Irish +50% Irish @ 4.290223
Dodecade V3
50% Orkney_1000 Genomes +50% Argyll_1000 Genomes @ 1.378120
MDLP K16
50% Irish_Connacht +50% Scottish_Argyll_bute @ 2.584728
(23andme)
k13
50% Southwest_Russian +50% West_German @ 4.848581
k15
50% Finnish +50% Hungarian @ 5.773445
mdlpk16
50% English_England +50% Pole_EastPoland @ 2.276510
mdlp world 22
1 50% Romania_derived +50% Russian_North_derived @ 4.806347
puntdal k13
1 50% Belarusian +50% Moldavian @ 3.266485
mdlp k23b
50% German-Volga_ +50% Swede_Saami_ @ 3.356254
Mixed modes:
Eurogenes K13: 64.7% Lebanese_Druze + 35.3% Spanish_Valencia @ 3.15
Eurogenes K15: 64.9% Lebanese_Muslim + 35.1% Spanish_Valencia @ 3.54
MDLP k16: 62.6% Armenian (Lebanon) + 37.4% Spanish (Canarias) @ 2.47
MDLP World 22: 53.2% Italian-North (derived) + 46.8% Syrian (derived) @ 1.65
MDLP k23B: 80.3% Syrian_Jew ( ) + 19.7% Portugese ( ) @ 2.6 (this is my second best, but I don't really understand my best fit here; difference in fit quality is minimal)
PuntDNAL k13: 85% Ashkenazy_Jew + 15% Yemeni @ 2.2
My Mixed mode on K13 (FTDNA) kit
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 87.8% Spanish_Valencia + 12.2% Mozabite_Berber @ 1.5
2 88% Spanish_Valencia + 12% Moroccan @ 1.52
3 87.7% Spanish_Valencia + 12.3% Algerian @ 1.54
4 84.2% Spanish_Cataluna + 15.8% Moroccan @ 1.61
Gedrosia K3
50% French(South) + 50% Spanish @ 0.000000