I noticed how while MDLP got me high English and Irish, Scottish is at or near the bottom. I did not expect this at all.Quote:
Originally Posted by JamesBond007
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I noticed how while MDLP got me high English and Irish, Scottish is at or near the bottom. I did not expect this at all.Quote:
Originally Posted by JamesBond007
Maybe in ten years.Quote:
Originally Posted by Erronkari
MDLP gives me Cornish and Irish. Puntdnal gives me English, Scottish and Irish.. Eurogenes gives me Irish, English and Orcadian. Eurogenes K36 mapping gives me Dutch. Eurogenes G25 gives me Dutch. Dodecad gives me mixed_Germanic etc... It is all over the place.Quote:
Originally Posted by Nordarya
Cornish, Irish, English, Scottish, Orcadian are all British Isles, hence UK, plus Dutch, hence Mixed Germanic. If you're Mixed Germanic, that's exactly why you have this variation. You're not exactly overall one to the exclusion of the other. It's all aggregate, so you fit this here:Quote:
Originally Posted by JamesBond007
http://www.heraldique-europeenne.org...tagne_1694.gif
Guillaume III de Nassau (1650-1702)
Prince d'Orange et Roi d'Angleterre
Ecartelé : 1 et 4, contre-écartelé : 1 et 4, de France moderne;
2 et 3, d'Angleterre moderne; 2, d'Ecosse; 3, d'Irlande;
sur le tout, de Nassau.
Or, remove France and substitute Hannover for Holland:
http://www.heraldique-europeenne.org...tagne_1816.gif
Le męme
- ŕ partir de 1816 -
Ecartelé : 1 et 4, d'Angleterre moderne; 2, d'Ecosse; 3, d'Irlande; sur le tout, parti : 1, de Brunswick; 2, de Lunebourg; enté en pointe de Westphalie (Basse-Saxe); une couronne royale coiffant le sur-le-tout; et sur le tout du tout, de la dignité d'Archi-Sénéchal de l'Empire.
Hmm, I see, thanks. It is still kind of convoluted I think, though. Even if I am Generic mixed-Germanic I expected to clearly be closest to one of the following : lowland Scots, English or Dutch.Quote:
Originally Posted by Nordarya
It's less and less likely with each generation of British and American life, that any specific type of Briton will be necessarily one without also exhibiting genes indicative of the other, while Utahn and Mixed Germanic seem to be representative of American DNA, as opposed to other New World source populations of Mestizo and Mulatto origins. In point of fact, only MDLP K23b shows my Italo-Celtic ancestors and the rest of the tests pretty much dilutes them for Germanic ancestors from Germany and Holland, probably being that they are naturally the closest to English. Even then, to read Quebecois as Belgian and New Yorker as Frisian, shows the Nordicisation of my eugenics, probably by combination with the German, but without actually showing German near the top results--I'd call that shifting. Assimilation of quasi-Italo-Celtic Belgian and Irish seems to be a westward shift over the many hundreds of years by Germanic folks, so really, Belgian would be represented by Frisian and Irish would be lost within the English, beginning linguistically.Quote:
Originally Posted by JamesBond007
My True Ancestry
Your closest Ancient populations...
Viking Danish + Frank (3.863)
Viking Danish + Visigoth (3.992)
Celt + Frank (4.192)
Saxon + Frank (4.214)
Visigoth + Saxon (4.487)
Saxon (4.585)
Frank (5.992)
Viking Danish (6.275)
Visigoth (6.745)
Celt (7.793)
Your closest Archaeogenetic matches...
(Smaller numbers mean closer matches to you)
1. Late Iron Age Linton Cambridgeshire (205 BC) ..... 4.49 -
Top 98% match vs all users
3. Medieval Netherlands Plague II (1360 AD) ..... 5.012 - ?
Top 98% match vs all users
5. Bronze Age Dagger Koenigsbrunn (2046 BC) ..... 5.763 -
Top 99% match vs all users
7. Post Viking Denmark Odense (1250 AD) ..... 6.275 -
Top 91% match vs all users
9. North Sea Medieval Denmark (1250 AD) ..... 6.305 -
Top 99% match vs all users
11. Bell Beaker Scotland (2100 BC) ..... 6.469 -
Top 93% match vs all users
13. Early Bronze Age Thames (1800 BC) ..... 6.56 -
Top 87% match vs all users
15. Celto-Germanic Medieval Denmark (1270 AD) ..... 6.833 -
Top 90% match vs all users
17. High Status Male Haunstetten (1946 BC) ..... 7.003 -
Top 93% match vs all users
19. Viking Saxon Iceland (1104 AD) ..... 7.187 -
Top 94% match vs all users
You have ancient relatives! (you share identified DNA segments)
Norwegian Viking Iceland
1000 AD
STT-A2
Shared DNA: (Sample Quality: 93)
9 SNP chains (min. 60 SNPs) / 197.11 cM
Largest segment=368 SNPs / 74.27 cM
Your raw DNA is 25% closer than other matching users
Your closest genetic modern populations...
1. Southwest_English (3.712)
2. Southeast_English (4.724)
3. Flemish (5.394)
4. Welsh (5.781)
5. South_Dutch (6.128)
6. Danish (6.687)
7. West_Scottish (6.996)
8. North_Dutch (7.007)
I will accept 6/8 Nordic and 2/8 Mediterranean. Four of my great-grandfathers are patrilineally and two of my great-grandmothers are matrilineally English through America. Two of my great-grandmothers are matrilineally French through Canada. The Canadian French great-grandmothers I have most recently traced to are at least paternally from Touraine in Anjou (Central France) and Poitou in Aquitaine and Gascony (Western France), which is why MDLP K16 shows France (Living DNA) and West France (Ancestry DNA) as top proximities. Plus, my New York Dutch great-great-grandfather was said to be Huguenot, but with actual Dutch and German, including Bavarian and Austrian on his side of the family making up the majority of recent ancestry, which explains the Italian and Hungarian similarities further off. I have noticed that some of my phenotype is similar to Quebecois and Acadian classmates, as well as those of Dutch origin from New York because of this. Overall, I do have a less Mediterranean than Nordic phenotype, but it is undeniable that I do have the former and this may make me stick out in either crowd, although I would fit right into British English and American English society as well as the Channel Islands and Ontario. My True Ancestry, in addition to Danish, Saxon, Frank and Celt, called the Aquitainian ancestry Visigoth and also showed Ostrogoth in their pie chart of me. I hadn't thought much of the admixture proportions from Gedmatch until I saw them reflected on My True Ancestry, which seems better than Gedmatch and Your DNA Portal, to link ancient and modern populations. I have all my answers now.Quote:
Originally Posted by Leto
LIVING DNA
Eurogenes K13 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Southeast_English @ 3.319830
2 South_Dutch @ 4.927596
3 Southwest_English @ 5.808263
4 Orcadian @ 5.999295
5 West_German @ 6.432647
6 North_Dutch @ 6.928951
7 Danish @ 7.093607
8 Irish @ 7.529025
9 West_Scottish @ 7.591440
10 North_German @ 7.657410
11 Norwegian @ 9.618147
12 French @ 10.346629
13 Swedish @ 11.315250
14 Austrian @ 13.845571
15 East_German @ 14.757143
16 North_Swedish @ 16.982176
17 Spanish_Cataluna @ 18.291862
18 Hungarian @ 19.099869
19 Spanish_Castilla_Y_Leon @ 19.561619
20 Southwest_French @ 19.861553
Using 2 populations approximation:
1 50% South_Dutch +50% Southeast_English @ 2.263671
Using 3 populations approximation:
1 50% Norwegian +25% Southeast_English +25% Spanish_Murcia @ 1.809008
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
1 Norwegian + Norwegian + Southeast_English + Spanish_Murcia @ 1.809008
2 Danish + Norwegian + Portuguese + Southeast_English @ 1.837780
3 Danish + North_Dutch + Norwegian + Spanish_Valencia @ 1.856315
4 Norwegian + Norwegian + Southeast_English + Spanish_Valencia @ 1.865530
5 Danish + Southeast_English + Spanish_Murcia + Swedish @ 1.866226
6 Norwegian + Norwegian + Portuguese + Southeast_English @ 1.878131
7 Danish + Norwegian + Southeast_English + Spanish_Cataluna @ 1.888820
8 Danish + Norwegian + Southeast_English + Spanish_Murcia @ 1.902066
9 Norwegian + Southeast_English + Spanish_Murcia + Swedish @ 1.905749
10 Danish + Danish + Norwegian + Spanish_Valencia @ 1.909614
11 Danish + North_Dutch + North_Dutch + Spanish_Valencia @ 1.918368
12 Danish + Norwegian + Southeast_English + Spanish_Castilla_Y_Leon @ 1.922607
13 North_Dutch + Southeast_English + Spanish_Murcia + Swedish @ 1.924624
14 North_Dutch + Norwegian + Portuguese + Southeast_English @ 1.926014
15 Danish + Southeast_English + Spanish_Valencia + Swedish @ 1.928686
16 Danish + Norwegian + Southeast_English + Spanish_Valencia @ 1.930314
17 Danish + Danish + Norwegian + Spanish_Murcia @ 1.938834
18 Danish + Danish + North_Dutch + Spanish_Valencia @ 1.938857
19 Danish + Norwegian + Orcadian + Spanish_Valencia @ 1.953504
20 Danish + French + Southeast_English + Southeast_English @ 1.955925
Eurogenes EUtest V2 K15 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Southwest_English @ 3.434245
2 Southeast_English @ 4.442678
3 South_Dutch @ 6.134194
4 Danish @ 6.347203
5 North_Dutch @ 6.517311
6 West_Scottish @ 6.673350
7 Irish @ 6.700980
8 Orcadian @ 7.240540
9 West_German @ 7.390747
10 North_German @ 7.567288
11 Norwegian @ 9.221417
12 French @ 10.220462
13 West_Norwegian @ 10.393235
14 Swedish @ 11.027646
15 North_Swedish @ 13.278831
16 East_German @ 14.049861
17 Southwest_Finnish @ 18.268312
18 Spanish_Galicia @ 18.698561
19 Austrian @ 18.848518
20 Spanish_Cataluna @ 18.990515
Using 2 populations approximation:
1 50% Orcadian +50% South_Dutch @ 3.297670
Using 3 populations approximation:
1 50% Norwegian +25% Orcadian +25% Spanish_Cantabria @ 1.966599
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
1 Norwegian + Norwegian + Orcadian + Spanish_Cantabria @ 1.966599
2 Norwegian + Orcadian + Spanish_Cantabria + West_Norwegian @ 2.044005
3 Danish + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.094811
4 Norwegian + Southeast_English + Spanish_Cantabria + West_Norwegian @ 2.094877
5 Southeast_English + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.101661
6 Norwegian + Orcadian + Spanish_Castilla_La_Mancha + West_Norwegian @ 2.112185
7 Danish + Norwegian + Spanish_Cantabria + West_Norwegian @ 2.118139
8 Norwegian + Norwegian + Orcadian + Spanish_Castilla_La_Mancha @ 2.120804
9 Norwegian + Spanish_Cantabria + West_Norwegian + West_Scottish @ 2.138983
10 North_Swedish + Orcadian + Orcadian + Spanish_Cantabria @ 2.168128
11 Southwest_English + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.218340
12 Danish + Spanish_Castilla_La_Mancha + West_Norwegian + West_Norwegian @ 2.223964
13 North_Swedish + Orcadian + Spanish_Cantabria + West_Norwegian @ 2.224650
14 Norwegian + Orcadian + Spanish_Valencia + West_Norwegian @ 2.240021
15 Norwegian + Norwegian + Orcadian + Spanish_Aragon @ 2.243985
16 Norwegian + Southwest_English + Spanish_Cantabria + West_Norwegian @ 2.247762
17 Norwegian + Norwegian + Spanish_Cantabria + West_Scottish @ 2.248596
18 North_Swedish + Orcadian + Spanish_Aragon + West_Norwegian @ 2.259214
19 North_Swedish + Orcadian + Spanish_Castilla_La_Mancha + West_Norwegian @ 2.270744
20 North_Swedish + Orcadian + Orcadian + Portuguese @ 2.282830
Dodecad K12b 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 4.668757
2 Kent_1000Genomes @ 5.219136
3 Dutch_Dodecad @ 5.621635
4 French_Dodecad @ 5.731893
5 CEU30_1000Genomes @ 5.897460
6 English_Dodecad @ 5.954253
7 French_HGDP @ 6.402415
8 Cornwall_1000Genomes @ 6.973017
9 British_Isles_Dodecad @ 7.208230
10 British_Dodecad @ 7.481154
11 Irish_Dodecad @ 8.955709
12 Argyll_1000Genomes @ 9.030128
13 Orcadian_HGDP @ 9.275484
14 Orkney_1000Genomes @ 9.532488
15 German_Dodecad @ 11.031652
16 Norwegian_Dodecad @ 16.073387
17 Swedish_Dodecad @ 18.512415
18 Hungarians_Behar @ 18.764015
19 Cataluna_1000Genomes @ 20.040613
20 Galicia_1000Genomes @ 21.019417
Using 2 populations approximation:
1 50% Dutch_Dodecad +50% French_Dodecad @ 1.743748
Using 3 populations approximation:
1 50% Cornwall_1000Genomes +25% North_Italian_HGDP +25% Swedish_Dodecad @ 1.494240
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++
1 Argyll_1000Genomes + British_Isles_Dodecad + Cataluna_1000Genomes + Hungarians_Behar @ 1.425753
2 British_Dodecad + Kent_1000Genomes + N_Italian_Dodecad + Norwegian_Dodecad @ 1.445715
3 Cataluna_1000Genomes + English_Dodecad + Hungarians_Behar + Orkney_1000Genomes @ 1.452160
4 Cornwall_1000Genomes + Kent_1000Genomes + N_Italian_Dodecad + Norwegian_Dodecad @ 1.454706
5 Cornwall_1000Genomes + French_Dodecad + French_Dodecad + German_Dodecad @ 1.463487
6 Cataluna_1000Genomes + CEU30_1000Genomes + Hungarians_Behar + Orcadian_HGDP @ 1.467068
7 Cataluna_1000Genomes + CEU30_1000Genomes + Hungarians_Behar + Orkney_1000Genomes @ 1.467068
8 British_Dodecad + Cornwall_1000Genomes + North_Italian_HGDP + Swedish_Dodecad @ 1.469835
9 Cataluna_1000Genomes + English_Dodecad + Hungarians_Behar + Orcadian_HGDP @ 1.479170
10 Argyll_1000Genomes + Cataluna_1000Genomes + Hungarians_Behar + Orcadian_HGDP @ 1.480815
11 Cornwall_1000Genomes + English_Dodecad + N_Italian_Dodecad + Norwegian_Dodecad @ 1.482975
12 British_Dodecad + French_Dodecad + French_Dodecad + German_Dodecad @ 1.492224
13 Cataluna_1000Genomes + Hungarians_Behar + Kent_1000Genomes + Orkney_1000Genomes @ 1.492628
14 Argyll_1000Genomes + Cataluna_1000Genomes + English_Dodecad + Hungarians_Behar @ 1.493529
15 Cornwall_1000Genomes + Cornwall_1000Genomes + North_Italian_HGDP + Swedish_Dodecad @ 1.494240
16 Argyll_1000Genomes + Cataluna_1000Genomes + Hungarians_Behar + Irish_Dodecad @ 1.498076
17 CEU30_1000Genomes + Cornwall_1000Genomes + N_Italian_Dodecad + Norwegian_Dodecad @ 1.501419
18 British_Dodecad + British_Dodecad + North_Italian_HGDP + Swedish_Dodecad @ 1.504341
19 Argyll_1000Genomes + Cataluna_1000Genomes + Hungarians_Behar + Orkney_1000Genomes @ 1.505762
20 Cornwall_1000Genomes + Cornwall_1000Genomes + N_Italian_Dodecad + Swedish_Dodecad @ 1.508179
Ancestry DNA
Eurogenes K13 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Southeast_English @ 3.515817
2 South_Dutch @ 4.493276
3 Southwest_English @ 5.879767
4 West_German @ 5.967410
5 Orcadian @ 6.269300
6 North_Dutch @ 7.160378
7 Danish @ 7.383936
8 Irish @ 7.691188
9 North_German @ 7.772171
10 West_Scottish @ 7.799625
11 French @ 9.903454
12 Norwegian @ 9.924070
13 Swedish @ 11.629780
14 Austrian @ 13.722675
15 East_German @ 14.765144
16 North_Swedish @ 17.317295
17 Spanish_Cataluna @ 17.896076
18 Hungarian @ 18.986723
19 Spanish_Castilla_Y_Leon @ 19.168440
20 Spanish_Galicia @ 19.534096
Using 2 populations approximation:
1 50% South_Dutch +50% Southeast_English @ 1.967653
Using 3 populations approximation:
1 50% Norwegian +25% Southeast_English +25% Spanish_Murcia @ 1.527989
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++
1 Danish + Norwegian + Southeast_English + Spanish_Murcia @ 1.475546
2 North_Dutch + Southeast_English + Spanish_Murcia + Swedish @ 1.510960
3 Norwegian + Norwegian + Southeast_English + Spanish_Murcia @ 1.527989
4 North_Dutch + Norwegian + Southeast_English + Spanish_Murcia @ 1.531027
5 North_Dutch + Norwegian + Portuguese + Southeast_English @ 1.537094
6 Danish + Norwegian + Portuguese + Southeast_English @ 1.547151
7 Danish + North_Dutch + North_Dutch + Spanish_Murcia @ 1.578539
8 Danish + Southeast_English + Spanish_Murcia + Swedish @ 1.585541
9 Danish + North_Dutch + North_Dutch + Spanish_Valencia @ 1.610777
10 North_Dutch + North_Dutch + North_Dutch + Spanish_Murcia @ 1.625628
11 Danish + Danish + North_Dutch + Spanish_Murcia @ 1.638009
12 North_Dutch + North_Dutch + North_Dutch + Spanish_Valencia @ 1.641022
13 North_German + Norwegian + Southeast_English + Spanish_Murcia @ 1.648909
14 Danish + Norwegian + Southeast_English + Spanish_Castilla_Y_Leon @ 1.664897
15 Danish + Danish + North_Dutch + Spanish_Valencia @ 1.688160
16 Danish + Norwegian + Southeast_English + Spanish_Valencia @ 1.688371
17 Danish + North_Dutch + Norwegian + Spanish_Murcia @ 1.692654
18 Norwegian + Norwegian + Portuguese + Southeast_English @ 1.694061
19 Danish + Norwegian + Southeast_English + Spanish_Cataluna @ 1.700148
20 Danish + North_Dutch + Southeast_English + Spanish_Cataluna @ 1.715080
Eurogenes EUtest V2 K15 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Southwest_English @ 3.687132
2 Southeast_English @ 4.893085
3 North_Dutch @ 6.416605
4 Danish @ 6.556159
5 Orcadian @ 6.691669
6 West_Scottish @ 6.869248
7 South_Dutch @ 6.919697
8 West_German @ 7.028143
9 Irish @ 7.061430
10 North_German @ 8.091383
11 Norwegian @ 8.879227
12 West_Norwegian @ 9.779203
13 French @ 10.641590
14 Swedish @ 10.816663
15 North_Swedish @ 13.385192
16 East_German @ 14.713007
17 Southwest_Finnish @ 18.953945
18 Spanish_Galicia @ 19.140471
19 Spanish_Cataluna @ 19.663004
20 Austrian @ 19.730627
Using 2 populations approximation:
1 50% French +50% West_Norwegian @ 3.092952
Using 3 populations approximation:
1 50% Orcadian +25% Spanish_Galicia +25% West_Norwegian @ 2.467657
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 Orcadian + Spanish_Extremadura + West_Norwegian + West_Norwegian @ 2.307101
2 Norwegian + Orcadian + Orcadian + Spanish_Galicia @ 2.344636
3 Norwegian + Orcadian + Spanish_Extremadura + West_Norwegian @ 2.345541
4 Norwegian + Orcadian + Spanish_Cantabria + West_Norwegian @ 2.347382
5 Orcadian + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.355771
6 Danish + Orcadian + Spanish_Galicia + West_Norwegian @ 2.411748
7 Norwegian + Orcadian + Portuguese + West_Norwegian @ 2.414193
8 Orcadian + Portuguese + West_Norwegian + West_Norwegian @ 2.441495
9 Portuguese + Southwest_English + West_Norwegian + West_Norwegian @ 2.453897
10 Orcadian + Orcadian + Spanish_Galicia + West_Norwegian @ 2.467657
11 Norwegian + Orcadian + Orcadian + Portuguese @ 2.497826
12 Orcadian + Spanish_Castilla_La_Mancha + West_Norwegian + West_Norwegian @ 2.504226
13 Southwest_English + Spanish_Extremadura + West_Norwegian + West_Norwegian @ 2.505867
14 Portuguese + Southeast_English + West_Norwegian + West_Norwegian @ 2.532845
15 Danish + Orcadian + Portuguese + West_Norwegian @ 2.541293
16 Orcadian + Orcadian + Portuguese + West_Norwegian @ 2.553932
17 French + Southwest_English + Southwest_English + West_Norwegian @ 2.565491
18 Norwegian + Norwegian + Orcadian + Spanish_Cantabria @ 2.575815
19 Southwest_English + Spanish_Cataluna + West_Norwegian + West_Norwegian @ 2.576258
20 Danish + Spanish_Cantabria + West_Norwegian + West_Norwegian @ 2.578795
Dodecad K12b 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 5.124682
2 French_Dodecad @ 5.632924
3 French_HGDP @ 6.173071
4 Dutch_Dodecad @ 6.479178
5 Kent_1000Genomes @ 6.507801
6 CEU30_1000Genomes @ 7.137910
7 English_Dodecad @ 7.241131
8 Cornwall_1000Genomes @ 8.370136
9 British_Isles_Dodecad @ 8.507340
10 British_Dodecad @ 8.957924
11 Irish_Dodecad @ 10.423571
12 Argyll_1000Genomes @ 10.430121
13 German_Dodecad @ 10.605581
14 Orcadian_HGDP @ 10.735415
15 Orkney_1000Genomes @ 10.956199
16 Norwegian_Dodecad @ 16.911858
17 Hungarians_Behar @ 17.808084
18 Swedish_Dodecad @ 19.142435
19 Cataluna_1000Genomes @ 19.875412
20 Galicia_1000Genomes @ 20.624249
Using 2 populations approximation:
1 50% French_HGDP +50% Mixed_Germanic_Dodecad @ 2.165114
Using 3 populations approximation:
1 50% French_HGDP +25% German_Dodecad +25% Mixed_Germanic_Dodecad @ 1.319557
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 British_Isles_Dodecad + Cornwall_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.135236
2 British_Dodecad + British_Isles_Dodecad + Norwegian_Dodecad + Tuscan_HGDP @ 1.163515
3 British_Isles_Dodecad + Cornwall_1000Genomes + Norwegian_Dodecad + Tuscan_HGDP @ 1.165232
4 Kent_1000Genomes + Mixed_Germanic_Dodecad + North_Italian_HGDP + Norwegian_Dodecad @ 1.177050
5 British_Isles_Dodecad + German_Dodecad + North_Italian_HGDP + Orkney_1000Genomes @ 1.197652
6 British_Dodecad + British_Isles_Dodecad + Norwegian_Dodecad + TSI30_Metspalu @ 1.219552
7 British_Isles_Dodecad + German_Dodecad + Irish_Dodecad + N_Italian_Dodecad @ 1.250587
8 Cataluna_1000Genomes + CEU30_1000Genomes + CEU30_1000Genomes + Hungarians_Behar @ 1.251819
9 British_Isles_Dodecad + Kent_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.257863
10 CEU30_1000Genomes + Mixed_Germanic_Dodecad + North_Italian_HGDP + Norwegian_Dodecad @ 1.265559
11 British_Isles_Dodecad + German_Dodecad + N_Italian_Dodecad + Orcadian_HGDP @ 1.266044
12 British_Isles_Dodecad + German_Dodecad + North_Italian_HGDP + Orcadian_HGDP @ 1.269664
13 CEU30_1000Genomes + Cornwall_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.275064
14 Cataluna_1000Genomes + Hungarians_Behar + Irish_Dodecad + Mixed_Germanic_Dodecad @ 1.276150
15 British_Isles_Dodecad + Cataluna_1000Genomes + Hungarians_Behar + Mixed_Germanic_Dodecad @ 1.276658
16 British_Dodecad + CEU30_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.281585
17 English_Dodecad + Mixed_Germanic_Dodecad + North_Italian_HGDP + Norwegian_Dodecad @ 1.283997
18 Cataluna_1000Genomes + CEU30_1000Genomes + Hungarians_Behar + Kent_1000Genomes @ 1.287323
19 British_Isles_Dodecad + Irish_Dodecad + Norwegian_Dodecad + Tuscan_HGDP @ 1.288734
20 Cataluna_1000Genomes + CEU30_1000Genomes + English_Dodecad + Hungarians_Behar @ 1.288757
MDLP K16 Modern has been the best fit for me
There is something wrong with the some of the MDLP calcs. They are suffering from the calculator effect. They make most Irish and Brits German on those. The MDLP K23b seems to be not bad though.Quote:
Originally Posted by Nordarya
Which type of Saxons are we though and does it really matter whether it's taxpayers to London or Berlin? That's like complaining because your Basque was written French Basque instead of Spanish Basque, just saying. So, for MDLP K23b, it matches Kent with Friesland and what proud Englishman would complain what side of the North Sea his roots are grouped with, considering that this validates our history with Hengest and Horsa?Quote:
Originally Posted by Grace O'Malley
Anyway, here is how I parsed my results from Leto's admix requests:
Both Eurogenes K13 and K15 are easy, but Dodecad K12b is pretty hard to work with for this purpose. The results make me seem "Hispanic" and "Latin", LOL, but this Mediterranean DNA is receding because my wife has much less and our children benefit from the ancestry changing along with the Royal Arms, dropping France, picking up Holland and Germany, dropping them and settling down as Anglo-Celtic. My True Ancestry helps illuminate my Gothic descent, which always seems under the radar, because Aquitaine hasn't retained the tribal name, unlike Normandy and Burgundy. This puts the Plantagenets' ties to Aquitaine in perspective, down to when it was made a principality and the base for John of Gaunt's Castilian War. Thing is, I am also descended from the Duke of Lancaster several times on different sides of my family, LOL. Although I am directly paternally Viking-era Norwegian Germanic (matches 1000 Iceland) and maternally pre-Saxon British Celtic (matches Iron Age Cambridgeshire), this is the best I could square up my four grandparents going back patrilineally and matrilineally, relatively speaking:
LIVING DNA
Eurogenes K13 4-Ancestors Oracle
1 Norwegian + Norwegian + Southeast_English + Spanish_Murcia @ 1.809008
[Paternal Grandfather + Maternal Grandfather + Maternal Grandmother + Paternal Grandmother]
Eurogenes EUtest V2 K15 4-Ancestors Oracle
1 Norwegian + Norwegian + Orcadian + Spanish_Cantabria @ 1.966599
[Paternal Grandfather + Maternal Grandfather + Maternal Grandmother + Paternal Grandmother]
Dodecad K12b 4-Ancestors Oracle
1 Argyll_1000Genomes + British_Isles_Dodecad + Cataluna_1000Genomes + Hungarians_Behar @ 1.425753
[Maternal Grandmother + Maternal Grandfather + Paternal Grandmother + Paternal Grandfather]
ANCESTRY DNA
Eurogenes K13 4-Ancestors Oracle
1 Danish + Norwegian + Southeast_English + Spanish_Murcia @ 1.475546
[Maternal Grandfather + Paternal Grandfather + Maternal Grandmother + Paternal Grandmother]
Eurogenes EUtest V2 K15 4-Ancestors Oracle
1 Orcadian + Spanish_Extremadura + West_Norwegian + West_Norwegian @ 2.307101
[Maternal Grandmother + Paternal Grandmother + Paternal Grandfather + Maternal Grandfather]
Dodecad K12b 4-Ancestors Oracle
1 British_Isles_Dodecad + Cornwall_1000Genomes + Norwegian_Dodecad + TSI30_Metspalu @ 1.135236
[Maternal Grandfather + Maternal Grandmother + Paternal Grandfather + Paternal Grandmother]
I mentioned earlier in the thread that Eurogenes K13 was the best calculator on Gedmatch and they got my mom's Irish heritage correct. MDLP calculators aren't bad either.
Admix Results (sorted):
# Population Percent
1 North_Atlantic 51.76
2 Baltic 24.52
3 West_Med 12.3
4 West_Asian 6.51
5 East_Med 2.55
6 Amerindian 1.06
7 Northeast_African 0.37
8 East_Asian 0.26
9 Siberian 0.24
10 South_Asian 0.23
11 Oceanian 0.21
Single Population Sharing:
# Population (source) Distance
1 Irish 1.64
2 Orcadian 1.88
3 West_Scottish 2.32
4 North_Dutch 2.73
5 Danish 3.55
6 Southeast_English 3.71
7 Southwest_English 3.93
8 Norwegian 4.44
9 North_German 5.5
10 Swedish 7.31
11 South_Dutch 8.57
12 West_German 9.6
13 North_Swedish 13.74
14 French 14.08
15 Austrian 14.61
16 East_German 14.84
17 Hungarian 19.18
18 Spanish_Cataluna 21.08
19 Southwest_Finnish 21.84
20 Southwest_French 22
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 70.9% Irish + 29.1% North_Dutch @ 1.31
2 95.6% Irish + 4.4% Hungarian @ 1.37
3 78.8% Irish + 21.2% Danish @ 1.38
4 86% Irish + 14% North_German @ 1.38
5 59.7% Irish + 40.3% Orcadian @ 1.4
6 96.7% Irish + 3.3% Serbian @ 1.4
7 97.4% Irish + 2.6% Bulgarian @ 1.4
8 94.6% Irish + 5.4% Austrian @ 1.41
9 97.1% Irish + 2.9% Romanian @ 1.41
10 92% Irish + 8% West_German @ 1.41
11 80.9% Irish + 19.1% Southeast_English @ 1.42
12 96.9% Irish + 3.1% Croatian @ 1.43
13 95% Irish + 5% East_German @ 1.44
14 96.9% Irish + 3.1% South_Polish @ 1.44
15 97.1% Irish + 2.9% Moldavian @ 1.44
16 97.6% Irish + 2.4% Southwest_Russian @ 1.45
17 97.3% Irish + 2.7% Ukrainian @ 1.46
18 97.7% Irish + 2.3% Ukrainian_Belgorod @ 1.46
19 98.1% Irish + 1.9% Greek_Thessaly @ 1.47
20 98.4% Irish + 1.6% Ashkenazi @ 1.47
She's more Irish than me on that calc. :) A lot closer distance as well.Quote:
Originally Posted by Daco Celtic
# Population Percent
1 North_Atlantic 51.79
2 Baltic 25.5
3 West_Med 10.04
4 West_Asian 7.39
5 East_Med 1.64
6 Red_Sea 1.4
7 Amerindian 1.14
8 Siberian 0.89
9 Oceanian 0.16
10 South_Asian 0.06
Single Population Sharing:
# Population (source) Distance
1 North_Dutch 2.85
2 Irish 3.05
3 Norwegian 3.4
4 West_Scottish 3.65
5 Danish 3.68
6 Orcadian 3.71
7 North_German 5.21
8 Southeast_English 6.05
9 Southwest_English 6.21
10 Swedish 6.25
11 South_Dutch 10.06
12 West_German 10.91
13 North_Swedish 12.59
14 Austrian 15.02
15 East_German 15.15
16 French 15.82
17 Hungarian 19.32
18 Southwest_Finnish 20.83
19 Spanish_Cataluna 23.19
20 South_Polish 23.87
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 54.7% Irish + 45.3% Norwegian @ 2.09
2 53% Norwegian + 47% West_Scottish @ 2.2
3 74.8% Irish + 25.2% Swedish @ 2.35
4 86.9% Irish + 13.1% North_Swedish @ 2.41
5 55.3% North_Dutch + 44.7% Irish @ 2.42
6 67.8% West_Scottish + 32.2% Swedish @ 2.43
7 93.6% Irish + 6.4% Finnish @ 2.46
8 65.9% North_Dutch + 34.1% West_Scottish @ 2.49
9 94.5% Irish + 5.5% East_Finnish @ 2.51
10 92.3% Irish + 7.7% Southwest_Finnish @ 2.52
11 96.1% Irish + 3.9% Chuvash @ 2.54
12 94.1% Irish + 5.9% La_Brana-1 @ 2.56
13 73.2% Irish + 26.8% North_German @ 2.56
14 96.6% Irish + 3.4% Mari @ 2.59
15 95.7% Irish + 4.3% Erzya @ 2.6
16 94.6% Irish + 5.4% Estonian @ 2.6
17 63.8% West_Scottish + 36.2% North_German @ 2.61
18 82.8% West_Scottish + 17.2% North_Swedish @ 2.61
19 91.2% West_Scottish + 8.8% Finnish @ 2.62
20 62.3% Irish + 37.7% Danish @ 2.62
You should get the G25 for your mum. I'd love to see what's she like on that.
I'm not Saxon as I'm Irish but the MDLP calcs have British Isles pops so people from that areas should at least get closer results to a British/Irish pop or even Northwestern Euro. Some of the calcs obviously are suffering from the calculator effect. I usually much closer to Orcadian and why is Welsh so far from Orcadian?Quote:
Originally Posted by Nordarya
Admix Results (sorted):
# Population Percent
1 North-East-European 49.85
2 Atlantic_Mediterranean_Neolithic 33.49
3 West-Asian 7.3
4 North-European-Mesolithic 4.73
5 Indo-Iranian 1.67
6 Samoedic 1.3
7 Near_East 0.82
8 South-America_Amerind 0.59
9 Arctic-Amerind 0.17
10 Mesoamerican 0.07
Single Population Sharing:
# Population (source) Distance
1 German_V (derived) 2.03
2 CEU_V (derived) 2.45
3 Austrian (derived) 3.51
4 Welsh (derived) 4.65
5 German-North (derived) 5.35
6 Hungarian (derived) 5.5
7 CEU (derived) 5.7
8 Swedish (derived) 6.11
9 German (derived) 6.18
10 Slovenian (derived) 6.39
11 British (derived) 6.55
12 Norwegian_V (derived) 6.72
13 Croatian (derived) 7.56
14 Orcadian (derived) 7.59
15 German-South (derived) 8.5
16 Bosnian (derived) 8.6
17 Swedish_V (derived) 9.04
18 Czech (derived) 9.4
19 Serbian (derived) 9.54
20 Croatian_V (derived) 10.87
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 82.6% German_V (derived) + 17.4% Norwegian_V (derived) @ 1.49
2 73.6% British (derived) + 26.4% Latvian_V (derived) @ 1.54
3 98.1% CEU_V (derived) + 1.9% West-Asian (ancestral) @ 1.57
4 96.7% CEU_V (derived) + 3.3% Avar (derived) @ 1.58
5 96.7% CEU_V (derived) + 3.3% Lak (derived) @ 1.6
6 96.6% CEU_V (derived) + 3.4% Tabassaran (derived) @ 1.62
7 96.8% CEU_V (derived) + 3.2% Lezgin (derived) @ 1.64
8 96.7% CEU_V (derived) + 3.3% Chechen (derived) @ 1.65
9 82.2% German_V (derived) + 17.8% CEU (derived) @ 1.65
10 76.5% CEU (derived) + 23.5% Latvian_V (derived) @ 1.66
11 97.3% CEU_V (derived) + 2.7% Abhkasian (derived) @ 1.67
12 96.8% CEU_V (derived) + 3.2% NorthOssetian (derived) @ 1.68
13 96.9% CEU_V (derived) + 3.1% Ossetian (derived) @ 1.68
14 79.3% German_V (derived) + 20.7% Welsh (derived) @ 1.68
15 96.5% CEU_V (derived) + 3.5% Balkarian (derived) @ 1.69
16 86.8% German_V (derived) + 13.2% Orcadian (derived) @ 1.69
17 96.6% CEU_V (derived) + 3.4% Adygei (derived) @ 1.7
18 96.7% CEU_V (derived) + 3.3% Kabardinian (derived) @ 1.71
19 51.6% German (derived) + 48.4% British (derived) @ 1.72
20 85.5% German_V (derived) + 14.5% British (derived) @ 1.72
I'm guessing my Goth ancestry from Aquitaine and Spain is shared with Vandal ancestry in Andalusia and Africa. This here is the lowest distance between Eurogenes K13 & K15, Dodecad K12b, but I can assure everyone I am neither 94.1% Southeast_English, nor 5.9% Tunisian, except comparatively speaking, LOL:
ANCESTRY DNA
Eurogenes K13 Oracle results:
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 94.1% Southeast_English + 5.9% Tunisian @ 1.13
Regular Oracle admix calculations seem more accurate for primary and mostly so for double digit secondary populations:
LIVING DNA
Eurogenes K13 Oracle results:
Admix Results (sorted):
# Population Percent 1 North_Atlantic 48.26 2 Baltic 22.67 3 West_Med 14.33 4 East_Med 6.61 5 West_Asian 3.76 6 Sub-Saharan 1.38 7 Amerindian 0.95 8 Red_Sea 0.79 9 South_Asian 0.73 10 Oceanian 0.28 11 Siberian 0.24
Single Population Sharing:
# Population (source) Distance 1 Southeast_English 3.09 2 South_Dutch 4.44 3 Southwest_English 5.15 4 Orcadian 5.3 5 West_German 5.66 6 North_Dutch 6.17 7 Danish 6.35 8 Irish 6.58 9 West_Scottish 6.64 10 North_German 6.83 11 Norwegian 8.51 12 French 9.19 13 Swedish 10.02 14 Austrian 12.13 15 East_German 12.95 16 North_Swedish 15.15 17 Spanish_Cataluna 16.24 18 Hungarian 16.67 19 Spanish_Castilla_Y_Leon 17.41 20 Spanish_Galicia 17.67
Mixed Mode Population Sharing:
Eurogenes EUtest V2 K15 Oracle results:
# Primary Population (source) Secondary Population (source) Distance 1 94.7% Southeast_English + 5.3% Tunisian @ 1.46 2 94.7% Southeast_English + 5.3% Mozabite_Berber @ 1.49 3 94.7% Southeast_English + 5.3% Algerian @ 1.52 4 95% Southeast_English + 5% Moroccan @ 1.67 5 95.8% Southeast_English + 4.2% Egyptian @ 1.81 6 94.9% Southeast_English + 5.1% Algerian_Jewish @ 1.91 7 94.3% Southeast_English + 5.7% Ashkenazi @ 1.94 8 96% Southeast_English + 4% Bedouin @ 1.96 9 69.5% Norwegian + 30.5% Spanish_Valencia @ 1.98 10 95.4% Southeast_English + 4.6% Libyan_Jewish @ 1.99 11 95.3% Southeast_English + 4.7% Tunisian_Jewish @ 1.99 12 93.6% Southeast_English + 6.4% West_Sicilian @ 2 13 76.3% North_Dutch + 23.7% Spanish_Valencia @ 2.01 14 96.6% Southeast_English + 3.4% Yemenite_Jewish @ 2.01 15 69.5% Norwegian + 30.5% Spanish_Murcia @ 2.02 16 95% Southeast_English + 5% Italian_Jewish @ 2.03 17 93.2% Southeast_English + 6.8% Greek_Thessaly @ 2.03 18 94.2% Southeast_English + 5.8% East_Sicilian @ 2.03 19 95% Southeast_English + 5% Sephardic_Jewish @ 2.03 20 75.8% Danish + 24.2% Spanish_Valencia @ 2.04
Admix Results (sorted):
# Population Percent 1 North_Sea 34.8 2 Atlantic 27.02 3 West_Med 11.11 4 Eastern_Euro 9.91 5 Baltic 9.08 6 East_Med 2.73 7 West_Asian 2.23 8 Sub-Saharan 1.1 9 Red_Sea 0.74 10 Amerindian 0.58 11 South_Asian 0.45 12 Northeast_African 0.14 13 Oceanian 0.12
Single Population Sharing:
# Population (source) Distance 1 Southwest_English 3.1 2 Southeast_English 3.99 3 South_Dutch 5.33 4 Danish 5.73 5 North_Dutch 5.82 6 West_Scottish 5.92 7 Irish 5.93 8 Orcadian 6.31 9 West_German 6.37 10 North_German 6.75 11 Norwegian 8.1 12 French 8.88 13 West_Norwegian 9.06 14 Swedish 9.69 15 North_Swedish 11.74 16 East_German 12.16 17 Southwest_Finnish 16.11 18 Austrian 16.21 19 Spanish_Galicia 16.34 20 Spanish_Cataluna 16.43
Mixed Mode Population Sharing:
Dodecad K12b Oracle results:
# Primary Population (source) Secondary Population (source) Distance 1 68.1% West_Norwegian + 31.9% Spanish_Cantabria @ 2.08 2 70% West_Norwegian + 30% Spanish_Castilla_La_Mancha @ 2.08 3 70.6% West_Norwegian + 29.4% Spanish_Aragon @ 2.21 4 69.9% West_Norwegian + 30.1% Spanish_Valencia @ 2.26 5 71.8% West_Norwegian + 28.2% Spanish_Andalucia @ 2.38 6 69.1% West_Norwegian + 30.9% Southwest_French @ 2.46 7 73.2% Norwegian + 26.8% Spanish_Aragon @ 2.48 8 65.1% West_Norwegian + 34.9% Spanish_Cataluna @ 2.5 9 95.7% Southwest_English + 4.3% Chuvash @ 2.51 10 96.9% Southwest_English + 3.1% MA-1 @ 2.52 11 70.9% Norwegian + 29.1% Spanish_Cantabria @ 2.52 12 72.7% Norwegian + 27.3% Spanish_Castilla_La_Mancha @ 2.53 13 96.3% Southwest_English + 3.7% Mari @ 2.54 14 68.3% West_Norwegian + 31.7% Spanish_Extremadura @ 2.55 15 68.3% West_Norwegian + 31.7% Spanish_Murcia @ 2.58 16 98.6% Southwest_English + 1.4% Mandenka @ 2.65 17 98.6% Southwest_English + 1.4% Bantu_S.E. @ 2.65 18 98.6% Southwest_English + 1.4% Bantu_S.W. @ 2.65 19 98.5% Southwest_English + 1.5% Biaka_Pygmy @ 2.65 20 78.3% Southwest_English + 21.7% West_German @ 2.65
Admix Results (sorted):
# Population Percent 1 North_European 40.95 2 Atlantic_Med 40.49 3 Gedrosia 8.61 4 Caucasus 6.7 5 Southwest_Asian 1.63 6 Sub_Saharan 1.25 7 South_Asian 0.37
Single Population Sharing:
# Population (source) Distance 1 Mixed_Germanic (Dodecad) 4.42 2 Kent (1000Genomes) 4.85 3 Dutch (Dodecad) 5.25 4 French (Dodecad) 5.38 5 CEU30 (1000Genomes) 5.46 6 English (Dodecad) 5.5 7 French (HGDP) 5.99 8 Cornwall (1000Genomes) 6.41 9 British_Isles (Dodecad) 6.62 10 British (Dodecad) 6.84 11 Irish (Dodecad) 8.15 12 Argyll (1000Genomes) 8.22 13 Orcadian (HGDP) 8.43 14 Orkney (1000Genomes) 8.66 15 German (Dodecad) 10.22 16 Norwegian (Dodecad) 14.73 17 Swedish (Dodecad) 17.01 18 Hungarians (Behar) 17.25 19 Cataluna (1000Genomes) 18.51 20 Galicia (1000Genomes) 19.34
Mixed Mode Population Sharing:
ANCESTRY DNA
# Primary Population (source) Secondary Population (source) Distance 1 81.1% British_Isles (Dodecad) + 18.9% O_Italian (Dodecad) @ 1.53 2 86.3% British_Isles (Dodecad) + 13.7% S_Italian_Sicilian (Dodecad) @ 1.65 3 86.3% British_Isles (Dodecad) + 13.7% Sicilian (Dodecad) @ 1.66 4 87% British_Isles (Dodecad) + 13% Ashkenazy_Jews (Behar) @ 1.73 5 87% British_Isles (Dodecad) + 13% Ashkenazi (Dodecad) @ 1.73 6 89.8% British_Isles (Dodecad) + 10.2% Cypriots (Behar) @ 1.76 7 88% British_Isles (Dodecad) + 12% Sephardic_Jews (Behar) @ 1.78 8 83.7% British_Isles (Dodecad) + 16.3% C_Italian (Dodecad) @ 1.79 9 80.8% Dutch (Dodecad) + 19.2% Baleares (1000Genomes) @ 1.85 10 55.7% Mixed_Germanic (Dodecad) + 44.3% French (Dodecad) @ 1.85 11 50.7% Dutch (Dodecad) + 49.3% French (Dodecad) @ 1.9 12 58.7% Mixed_Germanic (Dodecad) + 41.3% French (HGDP) @ 1.9 13 90.5% Kent (1000Genomes) + 9.5% Ashkenazi (Dodecad) @ 1.91 14 85.2% British_Isles (Dodecad) + 14.8% Greek (Dodecad) @ 1.91 15 84.3% English (Dodecad) + 15.7% O_Italian (Dodecad) @ 1.94 16 86.1% Kent (1000Genomes) + 13.9% O_Italian (Dodecad) @ 1.94 17 79.8% Dutch (Dodecad) + 20.2% Galicia (1000Genomes) @ 1.94 18 90.6% Kent (1000Genomes) + 9.4% Ashkenazy_Jews (Behar) @ 1.95 19 53.8% Dutch (Dodecad) + 46.2% French (HGDP) @ 1.97 20 88% British_Isles (Dodecad) + 12% Morocco_Jews (Behar) @ 1.98
Eurogenes K13 Oracle results:
Admix Results (sorted):
# Population Percent 1 North_Atlantic 48.03 2 Baltic 22.33 3 West_Med 14.47 4 East_Med 6.72 5 West_Asian 4.23 6 Sub-Saharan 1.26 7 Amerindian 0.86 8 Red_Sea 0.77 9 Oceanian 0.42 10 South_Asian 0.38 11 Northeast_African 0.25 12 Siberian 0.19 13 East_Asian 0.1
Single Population Sharing:
# Population (source) Distance 1 Southeast_English 3.23 2 South_Dutch 4.07 3 Southwest_English 5.17 4 West_German 5.24 5 Orcadian 5.52 6 North_Dutch 6.36 7 Danish 6.6 8 Irish 6.71 9 West_Scottish 6.81 10 North_German 6.93 11 Norwegian 8.78 12 French 8.79 13 Swedish 10.29 14 Austrian 12.03 15 East_German 12.96 16 North_Swedish 15.43 17 Spanish_Cataluna 15.88 18 Hungarian 16.58 19 Spanish_Castilla_Y_Leon 17.05 20 Spanish_Galicia 17.36
Mixed Mode Population Sharing:
Eurogenes EUtest V2 K15 Oracle results:
# Primary Population (source) Secondary Population (source) Distance 1 94.1% Southeast_English + 5.9% Tunisian @ 1.13 2 94.1% Southeast_English + 5.9% Mozabite_Berber @ 1.18 3 94.1% Southeast_English + 5.9% Algerian @ 1.21 4 94.3% Southeast_English + 5.7% Moroccan @ 1.38 5 95.2% Southeast_English + 4.8% Egyptian @ 1.53 6 94.1% Southeast_English + 5.9% Algerian_Jewish @ 1.61 7 75.1% North_Dutch + 24.9% Spanish_Murcia @ 1.67 8 75.2% North_Dutch + 24.8% Spanish_Valencia @ 1.67 9 94.6% Southeast_English + 5.4% Libyan_Jewish @ 1.69 10 93.5% Southeast_English + 6.5% Ashkenazi @ 1.69 11 92.6% Southeast_English + 7.4% West_Sicilian @ 1.69 12 94.6% Southeast_English + 5.4% Tunisian_Jewish @ 1.7 13 95.4% Southeast_English + 4.6% Bedouin @ 1.72 14 93.3% Southeast_English + 6.7% East_Sicilian @ 1.74 15 68.3% Norwegian + 31.7% Spanish_Murcia @ 1.74 16 94.2% Southeast_English + 5.8% Italian_Jewish @ 1.75 17 94.2% Southeast_English + 5.8% Sephardic_Jewish @ 1.75 18 91.2% Southeast_English + 8.8% Tuscan @ 1.76 19 72.1% North_Dutch + 27.9% Spanish_Cataluna @ 1.77 20 95.4% Southeast_English + 4.6% Jordanian @ 1.79
Admix Results (sorted):
# Population Percent 1 North_Sea 35.78 2 Atlantic 26.3 3 West_Med 11.23 4 Eastern_Euro 9.68 5 Baltic 8.49 6 West_Asian 3 7 East_Med 2.52 8 Sub-Saharan 1.01 9 Red_Sea 0.61 10 Amerindian 0.46 11 Northeast_African 0.45 12 Oceanian 0.28 13 South_Asian 0.21
Single Population Sharing:
# Population (source) Distance 1 Southwest_English 3.29 2 Southeast_English 4.34 3 North_Dutch 5.75 4 Orcadian 5.86 5 Danish 5.91 6 South_Dutch 5.99 7 West_German 6.05 8 West_Scottish 6.09 9 Irish 6.24 10 North_German 7.19 11 Norwegian 7.83 12 West_Norwegian 8.57 13 French 9.23 14 Swedish 9.54 15 North_Swedish 11.83 16 East_German 12.73 17 Spanish_Galicia 16.69 18 Southwest_Finnish 16.69 19 Austrian 16.96 20 Spanish_Cataluna 16.98
Mixed Mode Population Sharing:
Dodecad K12b Oracle results:
# Primary Population (source) Secondary Population (source) Distance 1 70.1% West_Norwegian + 29.9% Spanish_Cantabria @ 2.26 2 71.9% West_Norwegian + 28.1% Spanish_Castilla_La_Mancha @ 2.28 3 70.1% West_Norwegian + 29.9% Spanish_Extremadura @ 2.46 4 73.6% West_Norwegian + 26.4% Spanish_Andalucia @ 2.53 5 72.7% West_Norwegian + 27.3% Spanish_Aragon @ 2.56 6 67.3% West_Norwegian + 32.7% Spanish_Cataluna @ 2.59 7 70.2% West_Norwegian + 29.8% Spanish_Murcia @ 2.61 8 72% West_Norwegian + 28% Spanish_Valencia @ 2.63 9 73.5% Southwest_English + 26.5% West_German @ 2.64 10 68.4% West_Norwegian + 31.6% Portuguese @ 2.66 11 69.1% West_Norwegian + 30.9% Spanish_Castilla_Y_Leon @ 2.82 12 52.1% West_Norwegian + 47.9% French @ 2.83 13 96.3% Southwest_English + 3.7% Chuvash @ 2.9 14 98.5% Southwest_English + 1.5% Mbuti_Pygmy @ 2.91 15 98.5% Southwest_English + 1.5% Bantu_N.E. @ 2.91 16 98.5% Southwest_English + 1.5% Luhya @ 2.92 17 82.8% Southwest_English + 17.2% Norwegian @ 2.92 18 98.4% Southwest_English + 1.6% San @ 2.92 19 98.6% Southwest_English + 1.4% Biaka_Pygmy @ 2.92 20 96.9% Southwest_English + 3.1% Mari @ 2.93
Admix Results (sorted):
# Population Percent 1 North_European 40.65 2 Atlantic_Med 40.16 3 Caucasus 8.36 4 Gedrosia 8.29 5 Southwest_Asian 1.12 6 Sub_Saharan 0.75 7 East_African 0.41 8 South_Asian 0.27
Single Population Sharing:
# Population (source) Distance 1 Mixed_Germanic (Dodecad) 4.73 2 French (Dodecad) 5.26 3 French (HGDP) 5.76 4 Kent (1000Genomes) 5.91 5 Dutch (Dodecad) 5.92 6 CEU30 (1000Genomes) 6.47 7 English (Dodecad) 6.56 8 Cornwall (1000Genomes) 7.58 9 British_Isles (Dodecad) 7.71 10 British (Dodecad) 8.09 11 Irish (Dodecad) 9.39 12 Argyll (1000Genomes) 9.4 13 Orcadian (HGDP) 9.67 14 German (Dodecad) 9.82 15 Orkney (1000Genomes) 9.88 16 Norwegian (Dodecad) 15.43 17 Hungarians (Behar) 16.4 18 Swedish (Dodecad) 17.53 19 Cataluna (1000Genomes) 18.36 20 Galicia (1000Genomes) 18.99
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 77.6% British_Isles (Dodecad) + 22.4% O_Italian (Dodecad) @ 1.22 2 79.5% Dutch (Dodecad) + 20.5% North_Italian (HGDP) @ 1.28 3 82.2% British_Isles (Dodecad) + 17.8% Greek (Dodecad) @ 1.33 4 77.8% Cornwall (1000Genomes) + 22.2% Bulgarians (Yunusbayev) @ 1.5 5 78.3% Dutch (Dodecad) + 21.7% N_Italian (Dodecad) @ 1.5 6 84.6% British_Isles (Dodecad) + 15.4% Ashkenazy_Jews (Behar) @ 1.52 7 83.9% British_Isles (Dodecad) + 16.1% Sicilian (Dodecad) @ 1.58 8 80.7% British_Isles (Dodecad) + 19.3% C_Italian (Dodecad) @ 1.59 9 86.1% Kent (1000Genomes) + 13.9% Greek (Dodecad) @ 1.6 10 83.9% British_Isles (Dodecad) + 16.1% S_Italian_Sicilian (Dodecad) @ 1.62 11 84.6% British_Isles (Dodecad) + 15.4% Ashkenazi (Dodecad) @ 1.65 12 63.7% French (HGDP) + 36.3% German (Dodecad) @ 1.66 13 87.9% British_Isles (Dodecad) + 12.1% Cypriots (Behar) @ 1.67 14 80.9% CEU30 (1000Genomes) + 19.1% O_Italian (Dodecad) @ 1.71 15 84.7% English (Dodecad) + 15.3% Greek (Dodecad) @ 1.73 16 80.7% English (Dodecad) + 19.3% O_Italian (Dodecad) @ 1.76 17 82.3% CEU30 (1000Genomes) + 17.7% Tuscan (HGDP) @ 1.76 18 84.9% CEU30 (1000Genomes) + 15.1% Greek (Dodecad) @ 1.77 19 76.7% Cornwall (1000Genomes) + 23.3% Romanians (Behar) @ 1.77 20 83.5% CEU30 (1000Genomes) + 16.5% C_Italian (Dodecad) @ 1.77
I get you, how it seems every calculator is different, especially when it comes down to single digit noise and I've had a field day analysing both Living DNA and Ancestry DNA to find a basis for consistent ancestry, whilst ignoring the conflicting information, since they both say British Isles and the smaller percentages don't match, so I'm just essentially British Isles and that's fine. The fact that these genes are shared with neighbouring populations, but are identified as British Isles, just strengthens the main blood as one coalesced unit, tangents or not.Quote:
Originally Posted by Grace O'Malley
@Nordarya, you have distant Jigaboo ancestry, congrats :cool:
Put the Africans banner ✊🏿
If that's true, then I am Papuan, Puerto Rican, Chuvash, Mari, Ashkenazi, Turk, Cypriot, Jordanian, etc. I challenge you to find them in my family tree. These pie charts and admix calculations are insane. Some say Asian, some say Amerindian, some say African. It all comes and goes, both percentage changes and types of non-Europid, all in the 0-1+% range, depending on app. Eurogenes and Dodecad don't corner the market on admix analysis, you know.Quote:
Originally Posted by Leto
Here is a little secret not many people know : MDLP is optimized for Lithuanians and perhaps other Baltic people.Quote:
Originally Posted by Grace O'Malley
Well, maybe it's from 200 years ago or so. How much African do you get on Dodecad World9?Quote:
Originally Posted by Nordarya
LivingDNA is the only honest calculator for Brits certain continental ancestry shows up as SouthEast English this not wrong , per se, because Southeast people are the most influenced by the continent.Quote:
Originally Posted by Nordarya
For example, my 25% kraut , from Alsace-Lorraine is Danube Swabian and Frankish. The Franks did invad England because people like Hugh Grant are a mix of Iron-age celt and Frankish. My Danube Swabian is related to the Swaefas Germanic tribe that founded Swaffham England. Also, LivingDNA tells me I am 100% European unlike these politically correct calculators telling me I am part nigger, Eskimo, Papuan etc.. etc..
Looks like a typical pied noir sample, non? If I somehow have Sephardic ancestry, I would not be surprised. I've already been told that my mtDNA haplogroup K is found mostly among Ashkenazi women.Quote:
Originally Posted by Leto
https://www.eupedia.com/europe/Haplogroup_K_mtDNA.shtml
https://en.wikipedia.org/wiki/Haplogroup_K_(mtDNA)
Every app's Oracle+4 gives me only Mediterranean European and/or North African populations.
EthioHelix K10 + French Oracle results:
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 72.6% french + 27.4% algeria @ 0.83
For EthioHelix, I may not have much in the way of Japanese, but straight up resonance with Palestinian and Egyptian. Nevertheless, Omotic seems to be the source of African DNA and this region is Abyssinian, not SSA. How I got it, I can only speculate, but due to the sheer number of Graecoroman and North African admixes, verifies that I have distant Afroasiatic, likely through the connection between Cartagena and Carthage, knowing that I do have a Gothic relationship with Spain from Aquitaine.
puntDNAL K8 African only Oracle results gives me 100% Egyptian in mixed mode with 0% every African population. Actual SSA populations are only extremely distant, beyond all of that, the nearest non-Saharan group past 80.0 @ Kenyan_Masaai (who are 62% E1b), on a test specifically designed to detect SSA. This indicates that any African DNA is from a Nile-to-Mediterranean gene flow and not as a result of the Trans-Atlantic Triangular Slave Trade. Considering the perfect Egyptian rating, I would say that this was down through the Delta and across the Mediterranean coast through the majority Semitic population and assimilated by the Persian, Greek and Roman empires, until it made its way into Europe.
Living DNA
Africa9 Oracle results:
Admix Results (sorted):
# Population Percent 1 Europe 68.96 2 SW_Asia 25.33 3 NW_Africa 3.23 4 E_Africa 1 5 Biaka 0.83 6 San 0.63 7 W_Africa 0.03
Single Population Sharing:
# Population (source) Distance 1 North_Italian 4.86 2 Tuscan 5.61 3 Morocco_Jews 25.93 4 North_African_Jews (Dodecad) 33.4 5 French_Basque 41.72 6 Druze 42.14 7 Jordanians 48.43 8 Egypt 54.94 9 Egyptans 57.52 10 Yemenese 62.37 11 North_African (Dodecad) 62.95 12 Libya 65.35 13 Bedouin 70.81 14 Algeria 71.53 15 Morocco_N 73.83 16 Yemen_Jews 74.06 17 Saudis 79.58 18 Moroccans 82.78 19 Ethiopian_Jews 84.25 20 Ethiopians 84.27
Mixed Mode Population Sharing:
Africa9 4-Ancestors Oracle
# Primary Population (source) Secondary Population (source) Distance 1 93.4% North_Italian + 6.6% Libya @ 1.51 2 94.9% North_Italian + 5.1% East_African (Dodecad) @ 1.68 3 94.9% North_Italian + 5.1% Ethiopian_Jews @ 1.7 4 94.9% North_Italian + 5.1% Ethiopians @ 1.73 5 92.7% North_Italian + 7.3% Egyptans @ 1.74 6 92.4% North_Italian + 7.6% Egypt @ 1.78 7 55.6% North_African_Jews (Dodecad) + 44.4% French_Basque @ 1.97 8 53.7% French_Basque + 46.3% Jordanians @ 2.01 9 62.9% French_Basque + 37.1% Bedouin @ 2.11 10 93.4% North_Italian + 6.6% Yemenese @ 2.13 11 85.6% North_Italian + 14.4% Morocco_Jews @ 2.16 12 93.6% North_Italian + 6.4% North_African (Dodecad) @ 2.3 13 94.4% North_Italian + 5.6% Algeria @ 2.37 14 88.8% North_Italian + 11.2% North_African_Jews (Dodecad) @ 2.43 15 95.7% North_Italian + 4.3% Maasai @ 2.55 16 95.2% North_Italian + 4.8% Moroccans @ 2.56 17 95.9% North_Italian + 4.1% Sahara_OCC @ 2.6 18 95.5% North_Italian + 4.5% Morocco_S @ 2.66 19 95.8% North_Italian + 4.2% SANDAWE @ 2.67 20 94.6% North_Italian + 5.4% Bedouin @ 2.68
Admix Results (sorted):
# Population Percent 1 Europe 68.96 2 SW_Asia 25.33 3 NW_Africa 3.23 4 E_Africa 1.00
Finished reading population data. 54 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 North_Italian @ 4.552517
2 Tuscan @ 5.484910
3 Morocco_Jews @ 24.319345
4 North_African_Jews_Dodecad @ 31.271042
5 French_Basque @ 38.986019
6 Druze @ 39.604889
7 Jordanians @ 45.298275
8 Egypt @ 51.288792
9 Egyptans @ 53.699337
10 Yemenese @ 58.262970
11 North_African_Dodecad @ 60.512138
12 Libya @ 61.519260
13 Bedouin @ 66.209587
14 Algeria @ 68.785690
15 Yemen_Jews @ 69.442436
16 Morocco_N @ 71.738686
17 Saudis @ 74.607719
18 Moroccans @ 79.824341
19 Ethiopian_Jews @ 82.007942
20 Ethiopians @ 82.080521
Using 2 populations approximation:
1 50% North_Italian +50% Tuscan @ 3.752968
Using 3 populations approximation:
1 50% French_Basque +25% Jordanians +25% North_African_Jews_Dodecad @ 1.051237
Using 4 populations approximation:
+++++++++++++++
1 French_Basque + French_Basque + Jordanians + North_African_Jews_Dodecad @ 1.051237
2 French_Basque + Jordanians + North_Italian + North_Italian @ 2.149439
3 French_Basque + North_African_Jews_Dodecad + Tuscan + Tuscan @ 2.420192
4 Egypt + French_Basque + North_Italian + North_Italian @ 2.478917
5 French_Basque + French_Basque + Jordanians + Morocco_Jews @ 2.522790
6 Druze + French_Basque + French_Basque + North_African_Jews_Dodecad @ 2.794858
7 Egyptans + French_Basque + North_Italian + North_Italian @ 2.819581
8 French_Basque + Morocco_Jews + Morocco_Jews + North_Italian @ 2.883515
9 French_Basque + North_African_Jews_Dodecad + North_Italian + Tuscan @ 2.959404
10 French_Basque + Jordanians + North_Italian + Tuscan @ 2.975163
11 Egypt + French_Basque + North_Italian + Tuscan @ 3.059612
12 Bedouin + French_Basque + French_Basque + Morocco_Jews @ 3.183760
13 French_Basque + Morocco_Jews + Tuscan + Tuscan @ 3.208580
14 Druze + Egypt + French_Basque + French_Basque @ 3.242710
15 Druze + French_Basque + French_Basque + Jordanians @ 3.315200
16 Bedouin + French_Basque + French_Basque + Tuscan @ 3.364336
17 French_Basque + Morocco_Jews + Morocco_Jews + Tuscan @ 3.505044
18 Egyptans + French_Basque + North_Italian + Tuscan @ 3.631401
19 Morocco_Jews + North_Italian + North_Italian + North_Italian @ 3.712686
20 French_Basque + Morocco_Jews + North_African_Jews_Dodecad + North_Italian @ 3.740528
EthioHelix K10 + French Oracle results:
EthioHelix Africa + French
Admix Results (sorted):
# Population Percent 1 French 82.32 2 North-Africa 15.08 3 Omotic 1.79 4 Khoi-San 0.81
Single Population Sharing:
# Population (source) Distance 1 french 25.24 2 egypt 32.61 3 egyptans 36.33 4 libya 49.72 5 algeria 66.99 6 morocco-n 67.98 7 EtA 75.77 8 EtT 76.83 9 ethiopian-jews 77.24 10 moroccans 77.99 11 EtT-P 78.08 12 EtA-P 80.88 13 Afar 81.99 14 EtO-P 84.38 15 EtO 90.19 16 morocco-s 90.49 17 sahara-occ 93.54 18 Wolayta 93.78 19 EtS-P 94.2 20 Somali 94.72
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 72.6% french + 27.4% algeria @ 0.83 2 75.6% french + 24.4% moroccans @ 0.93 3 78.8% french + 21.2% sahara-occ @ 0.96 4 72.9% french + 27.1% morocco-n @ 1.26 5 83.2% french + 16.8% mozabite @ 2.66 6 66.5% french + 33.5% libya @ 3.22 7 78.5% french + 21.5% morocco-s @ 5.08 8 56.7% french + 43.3% egypt @ 6.41 9 59.6% french + 40.4% egyptans @ 7.5 10 81.9% french + 18.1% fulani @ 11.53 11 77.7% french + 22.3% EtA @ 13.36 12 78.2% french + 21.8% EtT @ 13.81 13 78.4% french + 21.6% ethiopian-jews @ 14.04 14 81.5% french + 18.5% EtO @ 15.17 15 79.2% french + 20.8% EtT-P @ 15.3 16 80% french + 20% EtA-P @ 15.59 17 80.7% french + 19.3% EtO-P @ 15.63 18 83% french + 17% hema @ 15.67 19 80.4% french + 19.6% Afar @ 15.98 20 83.3% french + 16.7% maasai @ 15.98
EthioHelix K10 + French 4-Ancestors Oracle
EthioHelix Africa + French
Admix Results (sorted):
# Population Percent 1 French 82.32 2 North-Africa 15.08 3 Omotic 1.79
Finished reading population data. 59 populations found.
10 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 french @ 23.313265
2 egypt @ 30.547249
3 egyptans @ 34.145733
4 libya @ 45.847324
5 algeria @ 61.960045
6 morocco-n @ 62.936989
7 EtA @ 71.802437
8 moroccans @ 72.032600
9 EtT @ 72.775017
10 ethiopian-jews @ 73.189514
11 EtT-P @ 75.475998
12 EtA-P @ 78.070213
13 Afar @ 79.331474
14 EtO-P @ 80.860649
15 morocco-s @ 83.334183
16 EtO @ 84.996460
17 sahara-occ @ 86.458824
18 EtS-P @ 90.551529
19 Wolayta @ 90.710449
20 Somali @ 91.021683
Using 2 populations approximation:
1 50% egypt +50% french @ 7.616269
Using 3 populations approximation:
1 50% french +25% french +25% moroccans @ 1.089160
Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++
1 french + french + french + moroccans @ 1.089160
2 french + french + french + morocco-n @ 2.108534
3 algeria + french + french + french @ 2.139574
4 french + french + french + sahara-occ @ 4.239738
5 french + french + french + morocco-s @ 6.621908
6 french + french + french + libya @ 6.744598
7 egypt + egypt + french + french @ 7.616269
8 egypt + egyptans + french + french @ 8.585905
9 egypt + french + french + libya @ 8.719598
10 egyptans + egyptans + french + french @ 9.567039
11 egyptans + french + french + libya @ 9.704814
12 algeria + egypt + french + french @ 11.090034
13 egypt + french + french + morocco-n @ 11.182137
14 egyptans + french + french + french @ 11.258095
15 egypt + french + french + french @ 11.431512
16 french + french + libya + libya @ 11.798814
17 french + french + french + mozabite @ 11.818910
18 algeria + egyptans + french + french @ 11.880923
19 egyptans + french + french + morocco-n @ 11.939571
20 egypt + french + french + moroccans @ 13.458858
EthioHelix K10 + Japanese Oracle results:
Admix Results (sorted):
# Population Percent 1 North-Africa 72.69 2 Japanese 16.94 3 Omotic 6.37 4 East-Africa1 1.54 5 Biaka-Pygmy 0.98 6 West-Africa 0.87 7 Khoi-San 0.62
Single Population Sharing:
# Population (source) Distance 1 egypt 6.33 2 libya 8.16 3 egyptans 9.7 4 algeria 13.93 5 morocco-n 15.89 6 moroccans 16.35 7 sahara-occ 18.42 8 morocco-s 27.27 9 mozabite 28.46 10 EtA 46.86 11 EtT 46.97 12 ethiopian-jews 49.97 13 EtT-P 52.89 14 EtA-P 55.01 15 Afar 56.49 16 EtO-P 59.95 17 fulani 60.45 18 EtO 65.04 19 Somali 66.12 20 EtS-P 68.83
Mixed Mode Population Sharing:
EthioHelix K10 + Japanese 4-Ancestors Oracle
# Primary Population (source) Secondary Population (source) Distance 1 90.5% algeria + 9.5% japanese @ 3.59 2 94.9% libya + 5.1% japanese @ 4.24 3 89.3% moroccans + 10.7% japanese @ 5.38 4 98% egypt + 2% japanese @ 5.75 5 89.7% morocco-n + 10.3% japanese @ 5.78 6 87.8% egypt + 12.2% morocco-n @ 5.99 7 89.5% egypt + 10.5% moroccans @ 6.07 8 92.5% egypt + 7.5% sahara-occ @ 6.16 9 95% egypt + 5% morocco-s @ 6.17 10 89.9% egypt + 10.1% algeria @ 6.17 11 88.1% sahara-occ + 11.9% japanese @ 6.23 12 99% egypt + 1% pedi @ 6.25 13 99.1% egypt + 0.9% nguni @ 6.26 14 99.1% egypt + 0.9% sotho/tswana @ 6.26 15 99.1% egypt + 0.9% bantusouthafrica @ 6.26 16 99.1% egypt + 0.9% fang @ 6.27 17 99.3% egypt + 0.7% biakapygmy @ 6.27 18 99.2% egypt + 0.8% kongo @ 6.27 19 99.1% egypt + 0.9% luhya @ 6.27 20 99.1% egypt + 0.9% xhosa @ 6.27
Admix Results (sorted):
# Population Percent 1 North-Africa 72.69 2 Japanese 16.94 3 Omotic 6.37 4 East-Africa1 1.54
Finished reading population data. 59 populations found.
10 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 egypt @ 6.603943
2 libya @ 7.372525
3 egyptans @ 9.858743
4 algeria @ 12.553159
5 moroccans @ 14.504361
6 morocco-n @ 14.643106
7 sahara-occ @ 16.298849
8 mozabite @ 25.312471
9 morocco-s @ 27.603598
10 EtA @ 47.446579
11 EtT @ 47.468666
12 ethiopian-jews @ 50.321934
13 EtT-P @ 54.112522
14 EtA-P @ 56.235081
15 Afar @ 57.627319
16 EtO-P @ 60.858891
17 fulani @ 64.002869
18 EtO @ 65.343895
19 Somali @ 67.225494
20 EtS-P @ 70.103195
Using 2 populations approximation:
1 50% egypt +50% egypt @ 6.603943
Using 3 populations approximation:
1 50% egypt +25% egypt +25% morocco-n @ 5.889019
Using 4 populations approximation:
++++++++++++++++++++++++
1 egypt + egypt + egypt + morocco-n @ 5.889019
2 egypt + egypt + egypt + moroccans @ 5.889388
3 algeria + egypt + egypt + egypt @ 6.156878
4 egypt + egypt + egyptans + morocco-n @ 6.161911
5 egypt + egypt + egypt + sahara-occ @ 6.216164
6 egypt + egypt + egyptans + moroccans @ 6.296246
7 egypt + egypt + libya + moroccans @ 6.439868
8 egypt + egypt + libya + morocco-n @ 6.450962
9 algeria + egypt + egypt + egyptans @ 6.525907
10 egypt + egypt + egypt + libya @ 6.547783
11 algeria + egypt + egypt + libya @ 6.582066
12 egypt + egypt + egypt + egypt @ 6.603943
13 egypt + egyptans + egyptans + morocco-n @ 6.639770
14 egypt + egypt + egyptans + sahara-occ @ 6.648798
15 egypt + egypt + libya + libya @ 6.661759
16 egypt + egyptans + libya + morocco-n @ 6.664136
17 egypt + egyptans + libya + moroccans @ 6.777677
18 egypt + egypt + libya + sahara-occ @ 6.794689
19 egypt + egyptans + egyptans + moroccans @ 6.884614
20 algeria + egypt + egyptans + libya @ 6.892830
EthioHelix K10 + Palestinian Oracle results:
Admix Results (sorted):
# Population Percent 1 Palestinian 89.37 2 Omotic 6.55 3 Biaka-Pygmy 1.65 4 Khoi-San 1.6 5 East-Africa1 0.77 6 Hadza 0.05
Single Population Sharing:
# Population (source) Distance 1 morocco-n 6.81 2 palestinian 8.65 3 algeria 9.59 4 moroccans 11.67 5 mozabite 11.91 6 libya 12.69 7 egypt 12.75 8 sahara-occ 13.64 9 egyptans 16.04 10 morocco-s 37.64 11 EtT 60.15 12 EtA 60.21 13 ethiopian-jews 63.48 14 EtT-P 64.64 15 EtA-P 67.82 16 Afar 70.94 17 EtO-P 74.21 18 fulani 76.29 19 Somali 82.24 20 EtO 83.69
Mixed Mode Population Sharing:
​EthioHelix K10 + Palestinian 4-Ancestors Oracle
# Primary Population (source) Secondary Population (source) Distance 1 60.1% palestinian + 39.9% libya @ 2.6 2 92.7% palestinian + 7.3% sandawe @ 2.68 3 92.2% palestinian + 7.8% Wolayta @ 2.78 4 93.6% palestinian + 6.4% ARI-C @ 2.78 5 88.6% palestinian + 11.4% ethiopian-jews @ 2.87 6 90.1% palestinian + 9.9% EtO-P @ 2.87 7 88% palestinian + 12% EtT @ 2.87 8 88.1% palestinian + 11.9% EtA @ 2.88 9 93.8% palestinian + 6.2% ARI-B @ 2.96 10 66% palestinian + 34% egyptans @ 2.99 11 91.2% palestinian + 8.8% EtO @ 2.99 12 89.3% palestinian + 10.7% EtA-P @ 3.04 13 89.7% palestinian + 10.3% Afar @ 3.05 14 91.3% palestinian + 8.7% EtS-P @ 3.08 15 91.1% palestinian + 8.9% Somali @ 3.13 16 88.9% palestinian + 11.1% EtT-P @ 3.16 17 60.7% palestinian + 39.3% egypt @ 3.38 18 92.7% palestinian + 7.3% maasai @ 4.06 19 92.8% palestinian + 7.2% hema @ 4.19 20 53.3% palestinian + 46.7% algeria @ 4.37
EthioHelix K10 + Palestinian
Admix Results (sorted):
# Population Percent 1 Palestinian 89.37 2 Omotic 6.55 3 Biaka-Pygmy 1.65 4 Khoi-San 1.60
Finished reading population data. 59 populations found.
10 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 morocco-n @ 6.888328
2 palestinian @ 7.967266
3 algeria @ 9.732377
4 moroccans @ 11.878528
5 libya @ 11.901686
6 egypt @ 12.408681
7 mozabite @ 12.451018
8 sahara-occ @ 13.627141
9 egyptans @ 15.381239
10 morocco-s @ 37.350616
11 EtT @ 56.256199
12 EtA @ 56.292362
13 ethiopian-jews @ 59.258648
14 EtT-P @ 61.112518
15 EtA-P @ 63.946697
16 Afar @ 66.820557
17 EtO-P @ 69.523178
18 fulani @ 75.344711
19 Somali @ 77.316864
20 EtO @ 77.662796
Using 2 populations approximation:
1 50% libya +50% palestinian @ 3.341533
Using 3 populations approximation:
1 50% libya +25% palestinian +25% palestinian @ 3.341533
Using 4 populations approximation:
+++++++++++++++++++++++
1 egyptans + morocco-n + palestinian + palestinian @ 2.385677
2 egypt + morocco-n + palestinian + palestinian @ 2.611762
3 algeria + egypt + palestinian + palestinian @ 2.891736
4 egypt + moroccans + palestinian + palestinian @ 2.927005
5 algeria + egyptans + palestinian + palestinian @ 2.940670
6 egyptans + moroccans + palestinian + palestinian @ 2.997961
7 libya + morocco-n + palestinian + palestinian @ 3.003895
8 egypt + palestinian + palestinian + sahara-occ @ 3.164266
9 egyptans + mozabite + palestinian + palestinian @ 3.172513
10 egypt + mozabite + palestinian + palestinian @ 3.319885
11 libya + libya + palestinian + palestinian @ 3.341533
12 algeria + libya + palestinian + palestinian @ 3.355852
13 egypt + libya + palestinian + palestinian @ 3.417918
14 egyptans + palestinian + palestinian + palestinian @ 3.432015
15 egyptans + palestinian + palestinian + sahara-occ @ 3.446416
16 egypt + morocco-n + morocco-n + palestinian @ 3.516762
17 libya + moroccans + palestinian + palestinian @ 3.696555
18 egyptans + libya + palestinian + palestinian @ 3.794085
19 libya + palestinian + palestinian + palestinian @ 3.795146
20 egyptans + morocco-n + morocco-n + palestinian @ 3.922031
EthioHelix K10 Africa Only Oracle results:
Admix Results (sorted):
# Population Percent 1 North-Africa 63.92 2 East-Africa2 35.78 3 Biaka-Pygmy 0.29 4 East_Africa1 0.01
Single Population Sharing:
# Population (source) Distance 1 algeria 8.46 2 libya 8.66 3 moroccans 12.07 4 morocco-n 13.2 5 sahara-occ 16.48 6 egypt 21.34 7 egyptans 23.16 8 morocco-s 30.58 9 mozabite 47.37 10 EtA 54.8 11 EtT 55.69 12 ethiopian-jews 58.34 13 EtT-P 60.47 14 fulani 60.76 15 EtA-P 62.12 16 EtO-P 64.83 17 Afar 66.96 18 EtO 70.69 19 EtS-P 75.73 20 Wolayta 75.75
Mixed Mode Population Sharing:
EthioHelix K10 Africa Only 4-Ancestors Oracle
# Primary Population (source) Secondary Population (source) Distance 1 71.8% algeria + 28.2% egypt @ 1.3 2 61.9% morocco-n + 38.1% egypt @ 1.45 3 73.5% algeria + 26.5% egyptans @ 1.48 4 50.6% algeria + 49.4% libya @ 1.55 5 63.8% morocco-n + 36.2% egyptans @ 1.81 6 60.8% libya + 39.2% morocco-n @ 2 7 69.1% egypt + 30.9% mozabite @ 2.41 8 85.1% libya + 14.9% mozabite @ 2.45 9 67.3% egyptans + 32.7% mozabite @ 3.01 10 66.8% libya + 33.2% sahara-occ @ 3.2 11 59.2% libya + 40.8% moroccans @ 3.24 12 64.6% moroccans + 35.4% egypt @ 3.6 13 56.7% sahara-occ + 43.3% egypt @ 3.81 14 66.7% moroccans + 33.3% egyptans @ 3.97 15 89.2% algeria + 10.8% EtT-P @ 4.28 16 58.9% sahara-occ + 41.1% egyptans @ 4.3 17 90.5% algeria + 9.5% Afar @ 4.68 18 89.9% algeria + 10.1% EtA-P @ 4.8 19 89% algeria + 11% EtT @ 4.99 20 89.5% algeria + 10.5% ethiopian-jews @ 5.03
Admix Results (sorted):
# Population Percent 1 North-Africa 63.92 2 East-Africa2 35.78
Finished reading population data. 58 populations found.
10 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 algeria @ 8.185528
2 libya @ 8.311040
3 moroccans @ 11.735170
4 morocco-n @ 12.707182
5 sahara-occ @ 16.037239
6 egypt @ 20.505522
7 egyptans @ 22.244207
8 morocco-s @ 31.588654
9 mozabite @ 45.655628
10 EtA @ 53.280991
11 EtT @ 54.116859
12 ethiopian-jews @ 56.639912
13 EtT-P @ 58.595165
14 EtA-P @ 60.267960
15 EtO-P @ 63.228699
16 fulani @ 64.199883
17 Afar @ 65.110695
18 EtO @ 69.446846
19 EtS-P @ 74.142464
20 Wolayta @ 74.510460
Using 2 populations approximation:
1 50% algeria +50% libya @ 1.551054
Using 3 populations approximation:
1 50% algeria +25% libya +25% libya @ 1.551054
Using 4 populations approximation:
++++++++++++++++++++
1 algeria + algeria + libya + libya @ 1.551054
2 algeria + algeria + algeria + egyptans @ 1.607384
3 algeria + algeria + algeria + egypt @ 1.670053
4 egypt + libya + morocco-n + morocco-n @ 1.774177
5 algeria + libya + libya + morocco-n @ 1.987920
6 algeria + algeria + egyptans + morocco-n @ 2.100384
7 egyptans + libya + morocco-n + morocco-n @ 2.193491
8 algeria + algeria + egypt + morocco-n @ 2.351899
9 algeria + egypt + libya + morocco-n @ 2.373484
10 egypt + egypt + libya + mozabite @ 2.442887
11 egypt + libya + morocco-n + sahara-occ @ 2.445228
12 algeria + libya + libya + moroccans @ 2.551285
13 algeria + algeria + egyptans + moroccans @ 2.600399
14 egypt + libya + moroccans + morocco-n @ 2.626700
15 algeria + algeria + egypt + moroccans @ 2.656840
16 egyptans + libya + morocco-n + sahara-occ @ 2.753891
17 egypt + egyptans + libya + mozabite @ 2.793604
18 algeria + egypt + libya + sahara-occ @ 2.816532
19 algeria + egyptans + libya + morocco-n @ 2.850482
20 libya + libya + morocco-n + morocco-n @ 2.965848
puntDNAL K8 African only Oracle results:
Admix Results (sorted):
# Population Percent 1 Western_Semitic 89.63 2 Omotic 6.14 3 E_Benue_Congo 1.8 4 Southern_HG 1.12 5 W_Benue_Congo 1.03 6 Nilo_Saharan 0.29
Single Population Sharing:
# Population (source) Distance 1 Egyptian 4.31 2 N_Moroccan 7.96 3 Tunisian 8.78 4 Libyan 11.51 5 Algerian 13.1 6 Mozabite 13.27 7 S_Moroccan 24.58 8 Ethiopian_Tygray 46.24 9 Ethiopian_Afar 50.29 10 Ethiopian_Amhara 50.5 11 Ethiopian_Oromo 56.81 12 Somali 57.96 13 Nigeria_Fulani 70.74 14 Ethiopian_Wolayta 71.63 15 Kenyan_Maasai 82.66 16 Tanzania_Sandawe 86.31 17 DRC_Hema 90.6 18 Ethiopian_AriCultivator 96.23 19 Chad_Bulala 102.3 20 Kenyan_Bantu 103.23
Mixed Mode Population Sharing:
puntDNAL K8 African only 4-Ancestors Oracle
# Primary Population (source) Secondary Population (source) Distance 1 100% Egyptian + 0% SA_Kung @ 4.31 2 100% Egyptian + 0% Ethiopian_Afar @ 4.31 3 100% Egyptian + 0% Algerian @ 4.31 4 100% Egyptian + 0% Alur @ 4.31 5 100% Egyptian + 0% Souh_Sudan_Anuak @ 4.31 6 100% Egyptian + 0% Ethiopian_AriBlacksmith @ 4.31 7 100% Egyptian + 0% Ethiopian_AriCultivator @ 4.31 8 100% Egyptian + 0% Mali_Bambaran @ 4.31 9 100% Egyptian + 0% Cameroon_Bamoun @ 4.31 10 100% Egyptian + 0% Ghana_Brong @ 4.31 11 100% Egyptian + 0% Chad_Bulala @ 4.31 12 100% Egyptian + 0% Mali_Dogon @ 4.31 13 100% Egyptian + 0% Ethiopian_Amhara @ 4.31 14 100% Egyptian + 0% Ethiopian_Gumuz @ 4.31 15 100% Egyptian + 0% Ethiopian_Oromo @ 4.31 16 100% Egyptian + 0% Ethiopian_Tygray @ 4.31 17 100% Egyptian + 0% Ethiopian_Wolayta @ 4.31 18 100% Egyptian + 0% Cameroon_Fang @ 4.31 19 100% Egyptian + 0% Nigeria_Fulani @ 4.31 20 100% Egyptian + 0% Tanzania_Hadza @ 4.31
puntDNAL K8b Oracle
Admix Results (sorted):
# Population Percent 1 Western_Semitic 89.63 2 Omotic 6.14 3 E_Benue_Congo 1.80 4 Southern_HG 1.12 5 W_Benue_Congo 1.03
Finished reading population data. 48 populations found.
8 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Egyptian @ 4.162550
2 N_Moroccan @ 7.726441
3 Tunisian @ 8.579495
4 Libyan @ 11.080531
5 Algerian @ 12.648068
6 Mozabite @ 12.976057
7 S_Moroccan @ 25.167603
8 Ethiopian_Tygray @ 44.663219
9 Ethiopian_Amhara @ 48.878307
10 Ethiopian_Afar @ 48.898129
11 Ethiopian_Oromo @ 55.076260
12 Somali @ 56.790161
13 Ethiopian_Wolayta @ 68.042877
14 Nigeria_Fulani @ 70.356873
15 Kenyan_Maasai @ 81.899704
16 Tanzania_Sandawe @ 82.985245
17 DRC_Hema @ 88.604904
18 Ethiopian_AriCultivator @ 90.278328
19 Chad_Bulala @ 100.080063
20 Kenyan_Bantu @ 100.367744
Using 2 populations approximation:
1 50% Egyptian +50% Egyptian @ 4.162550
Using 3 populations approximation:
1 50% Egyptian +25% Egyptian +25% Egyptian @ 4.162550
Using 4 populations approximation:
++++++++++++++
1 Egyptian + Egyptian + Egyptian + Egyptian @ 4.162550
2 Egyptian + Egyptian + Egyptian + N_Moroccan @ 4.861819
3 Egyptian + Egyptian + Egyptian + Tunisian @ 4.883037
4 Egyptian + Egyptian + Egyptian + Libyan @ 5.624647
5 Egyptian + Egyptian + N_Moroccan + N_Moroccan @ 5.725599
6 Algerian + Egyptian + Egyptian + Egyptian @ 5.806611
7 Egyptian + Egyptian + N_Moroccan + Tunisian @ 5.811239
8 Egyptian + Egyptian + Tunisian + Tunisian @ 5.947222
9 Egyptian + Egyptian + Egyptian + Mozabite @ 5.977995
10 Egyptian + Egyptian + Libyan + N_Moroccan @ 6.514453
11 Egyptian + Egyptian + Libyan + Tunisian @ 6.607727
12 Egyptian + N_Moroccan + N_Moroccan + N_Moroccan @ 6.693481
13 Algerian + Egyptian + Egyptian + N_Moroccan @ 6.772143
14 Egyptian + N_Moroccan + N_Moroccan + Tunisian @ 6.824364
15 Algerian + Egyptian + Egyptian + Tunisian @ 6.875797
16 Egyptian + Egyptian + Mozabite + N_Moroccan @ 6.909713
17 Egyptian + N_Moroccan + Tunisian + Tunisian @ 6.996581
18 Egyptian + Egyptian + Mozabite + Tunisian @ 7.032844
19 Egyptian + Tunisian + Tunisian + Tunisian @ 7.207258
20 Egyptian + Egyptian + Libyan + Libyan @ 7.345383
Maybe Eurogenes is set with a Polish standard. Which Gedmatch isn't biased?Quote:
Originally Posted by JamesBond007
Ancestry DNA gave me British Isles and Norway. Living DNA had me British Isles @ 92.2%, Aegean @ 7.6% and Pashtun @ 1.2%.Quote:
Originally Posted by JamesBond007
Definitely, for instance K15 has a Baltic category that could be inflated for certain Western Demographics and Dodecad (sp ?) is greco-roman biased.Quote:
Originally Posted by Nordarya
AncestryDNA says I am mostly Irish and Scottish with English and small amounts of German and Scandinavian and tells me I am 1% nigger which is all bullshit because they do not differentiate between the Irish and Scots and the Scandinavian is from the Scottish etc...Quote:
Ancestry DNA gave me British Isles and Norway. Living DNA had me British Isles @ 92.2%, Aegean @ 7.6% and Pashtun @ 1.2%.
LivingDNA says I am Irish, Scottish, English and NorthCumbrian which sounds way more reasonable. Not only does my small amount of continental ancestry shows up as English but I actually have an ancestor from London .
Living DNA has been forced to cut down on their African percentages, which I believe were inflated by cross-pollination with European ancestry in African-Americans, so they were reading African ancestry in Europeans, when it's actually Africans with European ancestry shifting the calculator off-kilter.Quote:
Originally Posted by JamesBond007
It may be possible that I've been poking far too much fun at Albanians, but while Gedrosia K3 also makes me 0.00 distance from French, Gedrosia K12 makes my top two Norwegian and Greek. Ancient Eurasia K6 makes Hungarian and French my top hits. So yeah, I'd say Living DNA has got me right with Aegean, probably connecting Albanian-Hungarian-Greek, which is all loosely Balkan-oriented, with French and Norwegian making the majority of my DNA.
Gedrosia K3 4-Ancestors Oracle
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent 1 W_Eurasian 97.53 2 E_Eurasian 2.06
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 French @ 0.000000
2 Albanian @ 0.296999
3 Croatian @ 0.617447
4 Czech @ 0.720982
5 Greek @ 0.845519
6 English @ 0.870279
7 Norwegian @ 1.070001
8 French_South @ 1.526260
9 Bulgarian @ 1.535918
10 Bergamo @ 1.805136
11 Hungarian @ 1.934600
12 Spanish @ 2.017633
13 Lithuanian @ 2.080873
14 Sardinian @ 2.536421
15 LBK_EN @ 2.558893
16 Georgian @ 2.632359
17 Ukrainian @ 2.881934
18 Stuttgart @ 3.242123
19 Armenian @ 3.257833
20 Sicilian @ 3.519022
Using 2 populations approximation:
1 50% Albanian +50% Croatian @ 0.000000
2 50% Albanian +50% Czech @ 0.000000
3 50% Albanian +50% French @ 0.000000
4 50% Bergamo +50% Bulgarian @ 0.000000
5 50% Bergamo +50% Hungarian @ 0.000000
6 50% Bergamo +50% Lithuanian @ 0.000000
7 50% Bulgarian +50% English @ 0.000000
8 50% Bulgarian +50% French_South @ 0.000000
9 50% Croatian +50% French @ 0.000000
10 50% Croatian +50% Greek @ 0.000000
11 50% Czech +50% French @ 0.000000
12 50% Czech +50% Greek @ 0.000000
13 50% French +50% French @ 0.000000
14 50% French_South +50% Hungarian @ 0.000000
15 50% French_South +50% Lithuanian @ 0.000000
16 50% French_South +50% Norwegian @ 0.000000
17 50% LBK_EN +50% Lithuanian @ 0.000000
18 50% Lithuanian +50% Sardinian @ 0.000000
19 50% LBK_EN +50% Ukrainian @ 0.256065
20 50% Hungarian +50% LBK_EN @ 0.279932
Using 3 populations approximation:
1 50% Albanian +25% Albanian +25% Croatian @ 0.000000
Gedrosia K12 Oracle results:
Admix Results (sorted):
# Population Percent 1 EARLY_EUROPEAN_FARMERS 37.9 2 SINTASHTA_STEPPE_HERDERS 36.49 3 CAUCASUS 12.87 4 SW_ASIAN 6.49 5 BALOCHI 3.99 6 INDO_TIBETAN 1.08 7 SUB_SAHARAN 0.79 8 E_SIBERIAN 0.42
Single Population Sharing:
# Population (source) Distance 1 Norwegian 16.82 2 Greek 20.69 3 Sicilian 26.73 4 Russian 28.15 5 Finnish 32 6 Estonian 33.62 7 Turks_Istanbul 34.36 8 Lithuanian 34.95 9 Turks_Aydin 38.3 10 Turks_Balikesir 38.61 11 Kurds_C 42.77 12 Kurds_N 43 13 Tajik_Pomiri 43.42 14 Turkmen_Afghan 43.61 15 Turks_Adana 43.62 16 Turks_Kayseri 44.43 17 Iraqi_Chaldeans 44.68 18 Uzbek 44.75 19 Iraqi_Arab_Baghdad 44.87 20 Kurds_F 45.09
Mixed Mode Population Sharing:
Gedrosia K12 4-Ancestors Oracle
# Primary Population (source) Secondary Population (source) Distance 1 61.6% Norwegian + 38.4% Sicilian @ 2.63 2 55.4% Norwegian + 44.6% Greek @ 3.64 3 56% Sicilian + 44% Estonian @ 6.17 4 57% Sicilian + 43% Lithuanian @ 6.32 5 62.6% Greek + 37.4% Estonian @ 6.33 6 74.6% Norwegian + 25.4% Iraqi_Jew @ 6.4 7 63.6% Greek + 36.4% Lithuanian @ 6.56 8 73.7% Norwegian + 26.3% Turks_Adana @ 6.85 9 68.7% Norwegian + 31.3% Turks_Istanbul @ 6.95 10 75.4% Norwegian + 24.6% Iraqi_Mandaeans @ 6.96 11 74.3% Norwegian + 25.7% Iraqi_Chaldeans @ 6.98 12 74.2% Norwegian + 25.8% Turks_Kayseri @ 7 13 76.4% Norwegian + 23.6% Assyrian @ 7.09 14 76% Norwegian + 24% Armenian @ 7.12 15 61.7% Greek + 38.3% Finnish @ 7.3 16 54.8% Sicilian + 45.2% Finnish @ 7.36 17 74.6% Norwegian + 25.4% Iraqi_Arab_Baghdad @ 7.55 18 76.7% Norwegian + 23.3% Jordanian @ 7.55 19 71.5% Norwegian + 28.5% Turks_Aydin @ 7.68 20 77.2% Norwegian + 22.8% Syrian @ 7.94
Gedrosia K12 Oracle
Admix Results (sorted):
# Population Percent 1 EARLY_EUROPEAN_FARMERS 37.89 2 SINTASHTA_STEPPE_HERDERS 36.49 3 CAUCASUS 12.87 4 SW_ASIAN 6.48 5 BALOCHI 3.99 6 INDO_TIBETAN 1.08
Finished reading population data. 87 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Norwegian @ 17.976423
2 Greek @ 22.409592
3 Sicilian @ 28.741140
4 Russian @ 29.901581
5 Finnish @ 34.044144
6 Estonian @ 35.914646
7 Turks_Istanbul @ 37.147942
8 Lithuanian @ 37.301311
9 Turks_Aydin @ 41.102245
10 Turks_Balikesir @ 41.621426
11 Turkmen_Afghan @ 45.635784
12 Uzbek @ 46.241570
13 Kurds_C @ 46.410824
14 Kurds_N @ 46.641003
15 Turks_Adana @ 47.053009
16 Tajik_Pomiri @ 47.541668
17 Turks_Kayseri @ 48.013206
18 Iraqi_Chaldeans @ 48.315075
19 Iraqi_Arab_Baghdad @ 48.488258
20 Kurds_F @ 48.840389
Using 2 populations approximation:
1 50% Greek +50% Norwegian @ 4.556041
Using 3 populations approximation:
1 50% Lithuanian +25% Stuttgart +25% Turks_Kayseri @ 3.202945
Using 4 populations approximation:
++++++++++++++++++++++++++++++++
1 Armenian + BA_Sintashta + Norwegian + Sardinian @ 2.871755
2 Armenian + Corded_Ware_LN + Norwegian + Sardinian @ 2.871755
3 Lithuanian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.202945
4 Assyrian + BA_Sintashta + Norwegian + Sardinian @ 3.214975
5 Assyrian + Corded_Ware_LN + Norwegian + Sardinian @ 3.214975
6 Lithuanian + Russian + Stuttgart + Turks_Istanbul @ 3.271981
7 Estonian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.378764
8 Kurds_N + Lithuanian + Lithuanian + Stuttgart @ 3.539606
9 Armenian + Lithuanian + Lithuanian + Stuttgart @ 3.546402
10 Estonian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.586907
11 Estonian + Russian + Stuttgart + Turks_Istanbul @ 3.598495
12 Lithuanian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.598810
13 Estonian + Kurds_N + Lithuanian + Stuttgart @ 3.612337
14 Estonian + Estonian + Stuttgart + Turks_Kayseri @ 3.613381
15 Estonian + Estonian + Stuttgart + Turks_Istanbul @ 3.641927
16 Armenian + Estonian + Lithuanian + Stuttgart @ 3.683021
17 Finnish + Lithuanian + Stuttgart + Turks_Istanbul @ 3.730208
18 Estonian + Estonian + Kurds_N + Stuttgart @ 3.752987
19 Lithuanian + Lithuanian + Stuttgart + Turks_Adana @ 3.774547
20 BA_Sintashta + Norwegian + Sardinian + Turks_Kayseri @ 3.855678
Ancient Eurasia K6 Oracle results:
Admix Results (sorted):
# Population Percent 1 West_European_Hunter_Gartherer 43.43 2 Natufian 37.38 3 Ancestral_North_Eurasian 18.46 4 Ancestral_South_Eurasian 0.55 5 Sub_Saharan 0.19
Single Population Sharing:
# Population (source) Distance 1 Hungarian 1.81 2 French 2.33 3 English 2.8 4 Czech 2.9 5 Croatian 3.05 6 Scottish 4.05 7 Ukrainian 4.58 8 Norwegian 4.85 9 Icelandic 6.53 10 Romanian 7.05 11 Spanish 7.09 12 Europe_LNBA 7.64 13 Bulgarian 8.89 14 Basque 9.6 15 Estonian 10.17 16 Lithuanian 10.73 17 Russian 12.77 18 Finnish 13.43 19 Steppe_MLBA 13.54 20 Albanian 13.58
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 97.1% French + 2.9% EHG @ 0.35 2 97.8% French + 2.2% AG2 @ 0.41 3 97.8% French + 2.2% AG3 @ 0.41 4 97.8% French + 2.2% MA1 @ 0.41 5 92.9% French + 7.1% Steppe_EMBA @ 0.49 6 84.6% English + 15.4% Greek @ 0.51 7 91.7% English + 8.3% Cypriot @ 0.52 8 87.7% English + 12.3% Italian_South @ 0.53 9 92.5% English + 7.5% Druze @ 0.56 10 52.3% English + 47.7% Croatian @ 0.62 11 83.3% English + 16.7% Albanian @ 0.64 12 87% English + 13% Sicilian @ 0.64 13 93.4% English + 6.6% Jew_Iranian @ 0.68 14 91.3% Europe_LNBA + 8.7% Levant_N @ 0.68 15 91.3% Europe_LNBA + 8.7% Natufian @ 0.68 16 76.6% English + 23.4% Bulgarian @ 0.69 17 67.6% Icelandic + 32.4% Albanian @ 0.7 18 93.4% English + 6.6% Jew_iraqi @ 0.7 19 93.6% English + 6.4% Levant_BA @ 0.71 20 68.6% Croatian + 31.4% Icelandic @ 0.72
Ancient Eurasia K6 4-Ancestors Oracle
gedrosia K6 Oracle
Admix Results (sorted):
# Population Percent 1 West_European_Hunter_Gartherer 43.43 2 Natufian 37.38 3 Ancestral_North_Eurasian 18.46
Finished reading population data. 136 populations found.
6 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Hungarian @ 1.862990
2 French @ 2.299802
3 English @ 2.798044
4 Czech @ 2.869628
5 Croatian @ 3.080137
6 Scottish @ 4.008484
7 Ukrainian @ 4.512488
8 Norwegian @ 4.773424
9 Icelandic @ 6.500184
10 Spanish @ 6.935360
11 Romanian @ 7.104067
12 Europe_LNBA @ 7.545347
13 Bulgarian @ 8.975857
14 Basque @ 9.558382
15 Estonian @ 10.051054
16 Lithuanian @ 10.666956
17 Russian @ 12.751076
18 Steppe_MLBA @ 13.234116
19 Finnish @ 13.356215
20 Albanian @ 13.582247
Using 2 populations approximation:
1 50% Croatian +50% English @ 0.614564
Using 3 populations approximation:
1 50% Croatian +25% English +25% English @ 0.614564
Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++
1 Albanian + Europe_LNBA + French + Icelandic @ 0.474825
2 Albanian + French + Icelandic + Icelandic @ 0.597442
3 Albanian + English + English + Icelandic @ 0.598931
4 Croatian + Croatian + English + English @ 0.614564
5 Albanian + English + English + Europe_LNBA @ 0.630615
6 Albanian + English + Icelandic + Scottish @ 0.633699
7 Georgian + Greek + Hungarian_KO1 + Italian_South @ 0.677390
8 Georgian + Greek + Italian_South + WHG @ 0.677390
9 English + Greek + Icelandic + Icelandic @ 0.694817
10 Albanian + English + Icelandic + Norwegian @ 0.709343
11 Albanian + Europe_LNBA + Europe_LNBA + French @ 0.715769
12 Bulgarian + English + English + English @ 0.719751
13 Croatian + Croatian + Czech + English @ 0.721756
14 Croatian + Croatian + Europe_LNBA + French @ 0.726560
15 Croatian + Croatian + French + Icelandic @ 0.730708
16 Bulgarian + English + French + Icelandic @ 0.739828
17 Europe_LNBA + French + Greek + Icelandic @ 0.742598
18 English + French + Norwegian + Romanian @ 0.748657
19 French + Greek + Icelandic + Icelandic @ 0.751306
20 Albanian + English + Icelandic + Icelandic @ 0.771199
Ancestrydna seems to love telling people they are Irish and scandinavian.Quote:
Originally Posted by Nordarya
BTW, I edited my above post before this one it was a clusterfuck.
I give up on these calculators and tests. I am not a Marxist or Communist but Karl Marx was right about somethings :Quote:
Originally Posted by Nordarya
It must nestle everywhere, settle everywhere, establish connections everywhere. The bourgeoisie has through its exploitation of the world-market given a cosmopolitan character to production and consumption in every country. ... And as in material, so also in intellectual production.--Karl Marx
That is the reason these tests all say something different and the calculators are all over the place. Science is now completely corrupted by politics.
Sorry, I misread your request for Dodecad Africa9, because that's where I go for the racial admix, along with every EthioHelix app and puntDNAL Africa only. To isolate African ancestry, you have to use the right apps, all the same with the Asian ancestry by theirs. In any case, when apps tabulate African, it's a compilation of different populations in Africa, not a population in and of itself. With Eurasian populations, they're all sifted through with a fine-toothed comb and you can't see the forest for the trees. However, to understand the type of African DNA, you can't just group them all together, because not all of Africa is the same and there are different relationships with the outside world between its populations. My African is more consistent with Mediterranean Europe than Atlantic Europe, so mine is pre-1430s Portuguese contact not dissimilar from Albania and Kosovo and Living DNA proves that. Here though, it says I'm Mixed_Germanic & Puerto Rican, LOL.Quote:
Originally Posted by Leto
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 92.4% Mixed_Germanic (Dodecad) + 7.6% PUR30 @ 0.44
World9 Oracle results:
Admix Results (sorted):
# Population Percent 1 Atlantic_Baltic 71.55 2 Southern 14.01 3 Caucasus_Gedrosia 11.4 4 Amerindian 1.15 5 African 1.09 6 South_Asian 0.53 7 Australasian 0.26
Single Population Sharing:
# Population (source) Distance 1 Mixed_Germanic (Dodecad) 2.79 2 Dutch (Dodecad) 3.8 3 German (Dodecad) 4.18 4 CEU30 (1000Genomes) 4.4 5 Cornwall (1000 Genomes) 4.53 6 Kent (1000 Genomes) 4.71 7 Hungarians (Behar) 4.79 8 British (Dodecad) 4.86 9 French (HGDP) 5 10 British_Isles (Dodecad) 5.8 11 French (Dodecad) 5.94 12 Argyll (1000 Genomes) 6.82 13 Irish (Dodecad) 6.85 14 Orcadian (HGDP) 6.96 15 Orkney (1000 Genomes) 7.33 16 Ukranians (Yunusbayev) 8.03 17 Polish (Dodecad) 9.01 18 Belorussian (Behar) 10.88 19 Norwegian (Dodecad) 11.04 20 Swedish (Dodecad) 11.5
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 92.4% Mixed_Germanic (Dodecad) + 7.6% PUR30 @ 0.44 2 83.9% Dutch (Dodecad) + 16.1% Brazilian (Dodecad) @ 0.51 3 82.6% German (Dodecad) + 17.4% Brazilian (Dodecad) @ 0.66 4 94% Mixed_Germanic (Dodecad) + 6% Puerto_Rican @ 0.69 5 87.9% Mixed_Germanic (Dodecad) + 12.1% Brazilian (Dodecad) @ 0.75 6 94.3% Cornwall (1000 Genomes) + 5.7% Yemenese (Behar) @ 0.88 7 94.1% Kent (1000 Genomes) + 5.9% Yemenese (Behar) @ 0.93 8 91.6% Orcadian (HGDP) + 8.4% Bedouin (HGDP) @ 0.94 9 94.2% German (Dodecad) + 5.8% Mozabite @ 0.94 10 91.2% Orkney (1000 Genomes) + 8.8% Bedouin (HGDP) @ 0.95 11 93.9% Kent (1000 Genomes) + 6.1% Egyptans (Behar) @ 0.96 12 94.2% Cornwall (1000 Genomes) + 5.8% Egyptans (Behar) @ 0.97 13 91.2% Orcadian (HGDP) + 8.8% Egyptans (Behar) @ 1.02 14 92.6% British_Isles (Dodecad) + 7.4% Egyptans (Behar) @ 1.02 15 94.3% German (Dodecad) + 5.7% Moroccans (Behar) @ 1.02 16 90.8% Orkney (1000 Genomes) + 9.2% Egyptans (Behar) @ 1.07 17 94% Mixed_Germanic (Dodecad) + 6% CLM30 @ 1.13 18 94.4% CEU30 (1000Genomes) + 5.6% Egyptans (Behar) @ 1.13 19 93.8% British (Dodecad) + 6.2% Egyptans (Behar) @ 1.13 20 92.8% British_Isles (Dodecad) + 7.2% Yemenese (Behar) @ 1.14
World9 4-Ancestors Oracle
Admix Results (sorted):
# Population Percent 1 Atlantic_Baltic 71.55 2 Southern 14.01 3 Caucasus_Gedrosia 11.40 4 Amerindian 1.15 5 African 1.09
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 2.865317
2 Dutch_Dodecad @ 4.014021
3 German_Dodecad @ 4.457733
4 CEU30_1000Genomes @ 4.747824
5 Cornwall_1000 Genomes @ 4.914500
6 Kent_1000 Genomes @ 5.121396
7 French_HGDP @ 5.200935
8 Hungarians_Behar @ 5.220535
9 British_Dodecad @ 5.269603
10 French_Dodecad @ 6.210854
11 British_Isles_Dodecad @ 6.324824
12 Argyll_1000 Genomes @ 7.349492
13 Irish_Dodecad @ 7.438264
14 Orcadian_HGDP @ 7.562428
15 Orkney_1000 Genomes @ 7.988347
16 Ukranians_Yunusbayev @ 8.479550
17 Polish_Dodecad @ 9.627522
18 Belorussian_Behar @ 11.595999
19 Norwegian_Dodecad @ 12.006923
20 Swedish_Dodecad @ 12.444424
Using 2 populations approximation:
1 50% German_Dodecad +50% French_HGDP @ 1.777643
Using 3 populations approximation:
1 50% Irish_Dodecad +25% Murcia_1000 Genomes +25% Ukranians_Yunusbayev @ 1.252110
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++
1 German_Dodecad + Orcadian_HGDP + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.190573
2 Orcadian_HGDP + CEU30_1000Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.191312
3 Lithuanian_Dodecad + Hungarians_Behar + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.197042
4 German_Dodecad + Portuguese_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.199314
5 Polish_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.206762
6 Orcadian_HGDP + Argyll_1000 Genomes + Murcia_1000 Genomes + Ukranians_Yunusbayev @ 1.210816
7 Irish_Dodecad + German_Dodecad + Portuguese_Dodecad + Ukranians_Yunusbayev @ 1.214865
8 Irish_Dodecad + Argyll_1000 Genomes + Murcia_1000 Genomes + Ukranians_Yunusbayev @ 1.219863
9 CEU30_1000Genomes + Argyll_1000 Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.220979
10 Dutch_Dodecad + Orcadian_HGDP + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.222939
11 Orcadian_HGDP + Hungarians_Behar + Lithuanians + Canarias_1000 Genomes @ 1.225473
12 Portuguese_Dodecad + Cornwall_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.226601
13 Hungarians_Behar + Lithuanians + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.228362
14 German_Dodecad + Portuguese_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.231009
15 Irish_Dodecad + CEU30_1000Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.231229
16 Irish_Dodecad + German_Dodecad + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.237714
17 Irish_Dodecad + Hungarians_Behar + Lithuanians + Canarias_1000 Genomes @ 1.241583
18 Irish_Dodecad + Orcadian_HGDP + Murcia_1000 Genomes + Ukranians_Yunusbayev @ 1.243633
19 German_Dodecad + Belorussian_Behar + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.244774
20 Cornwall_1000 Genomes + Argyll_1000 Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.247871
I'm actually happy that Living DNA reads my Continental ancestry as English, because I don't feel like the connections are more important than assessing DNA compatibility with Englishness. Consider the assimilation of the German members of the Royal family, the same as New Amsterdam becoming New York. Therefore, if Living DNA isolates incompatible ancestry as Aegean and Pashtun, the question remains how it got into my family tree. I then have to isolate haplogroup clades and subclades more common elsewhere than Anglo-Celtic populations, before it will make any sense why the percentages are read otherwise.Quote:
Originally Posted by JamesBond007
Well, I for one know that I am both and have traced this on paper as well as family tradition, so it's great that they don't miss that.Quote:
Originally Posted by JamesBond007
I think it's capitalism providing an inferior service by pandering to potential customers, like the Cheerios ad with the mixed family. They're incompetent but have a brand name and mansions to build with a bread and circus philosophy. Compare Fox News telling people what we want to hear, rather than the Marxist or Communist ABC/CBS/CNN/MSNBC telling us we're worthless and that we should love them for it.Quote:
Originally Posted by JamesBond007
Valid points, Africa is genetically diverse even if they all look black to us.Quote:
Originally Posted by Nordarya
Well, even though I used non-serious language (distant Jigaboo), I didn't mean to troll. White Americans with deep roots in North America often do have traces of African and/or Native American down their line.
The trick is in finding out the whys and wheretofores...Quote:
Originally Posted by Leto
1% black is too small an amount to trace, I believe. Just estimate how many generations back that might have happened (admixture event).Quote:
Originally Posted by Nordarya
When different apps categorise it as this or that type of African, it becomes a fruitless effort. I've read there are clades of E1a in Mediterranean Europe and even a Yorkshire family of A haplogroup going back forever. I'm guessing it may be one of those freak things. After all, not all of us go along with mass migrations and individuals of exotic origin can be found anywhere, even if atypical, like Marco Polo. It's just something too obscure to rationalise in an intelligible fashion.Quote:
Originally Posted by Leto
In any case, most of the apps are just fine for their least distant populations. Usually, whatever's nearest, I can find in my family tree and so, am just fine with Eurogenes saying English, Dodecad saying Mixed Germanic, HarappaWorld saying Utahn White and puntDNAL saying German. Different versions of MDLP say all of them, so they're consistent when combined, while EthioHelix and Gedrosia show racial admix and deep ancestry, so that's just what I go with. I don't think it has to be any more complicated than that in order to understand one's ethnic and racial group, so if Gedmatch confirms I'm White Anglo-Saxon Protestant, great. Your DNA Portal does all this on a simplified level, but MyTrueAncestry actually seems able to draw lines between deep ancestry and modern populations, by quoting actual samples and not calculator models, so it's unsurprising that they find no hits for me in Asia, America or Africa.
Consequently, I have filled out my profile with MyTrueAncestry data, when it matches my family tree and that joins British (Celtic), Dutch (Völkerwanderung) and Danish (Viking) for modern populations, but I noticed that the ancient populations could all be contained in the Angevin Empire: Saxon England, Frank Anjou, Viking Danish Normandy, Celt Ireland and Visigoth Aquitaine, all under the same three yellow leopards on red royal banner of Plantagenet England. If I'm going to get English, German, Dutch and Danish at Gedmatch and Your DNA Portal, there's very good reason. I'm just typical for West Germanic autosomal admixture, even with Celtic mtDNA and yet, atypical paternal R1a being what keeps me from perfect alignment, something that may match me with Prussians and Orcadians for also being R1a West Germanics.
One thing has occurred to me. Since each app puts different groups under the African header, but the type of African changes per app, from nonexistent in one category to 1% in another, here and there, whereas the subgroups do not have any clear majority, but are much lower than 1% (around the 0.19% total African that Gedrosia quotes), my guess is that they represent different potential noise percentages clumped together in such a way that they appear to be one whole. I take this to be from Mediterranean ancestry sourced to a Balkan lineage, seeing how Living DNA calls it Aegean DNA at as much as 7.6% and not merely the piddly 1% supposedly SSA. Considering that Gedrosia pops Albanian, I'd have to say this correlation has bearing. The question is how? My guess is that refugees from the Ottomans went to France or Spain sometime after 1453 and the Ottoman-Habsburg Wars, perhaps associated with "Frankokratia". There's no telling who they brought back with them when the Venetians and Genovese quit the Orient and then their navigators made their way to America. In fact, I saw some last names that were supposed to be French, but looked Romanian to me, so this seems an entertainable theory, seeing as how I don't have any real earlier records at hand for most of them before the late 16th century and they could have just moved to France a generation before, for instance. The thing is, if the Albanians can maintain an African signature that long apart from Africa, there's no reason why this wouldn't happen for individuals from their population living elsewhere in Europe, or anyplace else in our own time likewise.Quote:
Originally Posted by Leto
https://en.wikipedia.org/wiki/Frankokratia
Then again, this seems to fit me just as well, via my Visigoth ancestry:
https://en.wikipedia.org/wiki/Africa...ture_in_Europe
So, if I had admix 55 generations ago, that explains all the hits throughout the Mediterranean, with double digits mostly on European shores and not specific to any region, although most of the highest are Iberian. I'm settling for the 0.00 distance with French single population on Eurasia K3 and 100% for Egyptian primary and 0% secondary population "admixes" on EthioHelix African only. Therefore, the connections are likely between Alexandria on the Nile in Egypt and Marseilles on the Rhone in France as two ends of this spectrum, both of which were Greek ports, also adding a reason why there are so many Mediterranean hits in between. I suppose compared to Europe, I am Egyptian and to Africa, I am French, however, this would be 1% Egyptian and 99% French, while I have quoted above about the same proportions between Tunisian (Carthage) and English, so somewhere in between London and Marseilles (i.e. Visigoth Aquitaine @ Toulouse) would shift to Libya, i.e. Cyrenaica. Since Egypt is the focal point of North African population and civilisation, but obviously related to Palestinian DNA on EthioHelix, I'd say sure, I very may well have Ancient Egyptian and likely Phoenician ancestry. Not exactly unheard of.Quote:
A panel of 52 SNPs was genotyped in 435 Italian individuals according to Sánchez et al.[56] in order to estimate the proportion of ancestry from a three-way differentiation: Sub-Saharan Africa, Europe, and Asia. The study indicated an autosomal basal proportion of Sub-Saharan ancestry that is higher (9.2%, on average) than other central or northern European populations (1.5%, on average). The amount of African ancestry in Italians is however more comparable to (but slightly higher than) the average in other Mediterranean countries (7.1%).[28]
Another study by the same author in 2011[58] that analyzed genome-wide polymorphism data from about 40 West Eurasian groups showed that "almost all Southern Europeans have inherited 1%–3% African ancestry with an average mixture date of around 55 generations ago, consistent with North African gene flow at the end of the Roman Empire and subsequent Arab invasion".
I just checked Geni.com and I'm at least his 55th or 54th great-grandson of Constantine (depending whether my dad or mum), so if the quoted study is correct, 55 generations prior would be roughly when Rome moved to Byzantium, so possibly increasing East Mediterranean population movements and all-around integration, but that does predate the Arab movement conceived in the quoted study by about 200 years.
Do you have any PCAs, saved from MyTrueAncestry or elsewhere?
Attachment 94915
Attachment 94916
Quote:
Originally Posted by Leto
Quote:
Originally Posted by JamesBond007
Quote:
Originally Posted by Erronkari
k15
Eurogenes K15 is pretty good but I like Dodecad K12b the most as it is the most precise for me. For instance, I'm a general mixed Germanic first and only secondly do I cluster with the Dutch and then thirdly the English. K12B has me as mixed_Germanic first then Dutch and then English. K15 has me as closest to the English first then to the Dutch.Quote:
Originally Posted by Celtíbero Itálico
G25 modern population average agrees that my closest is the Dutch since it has no mixed_Germanic category.
K15 split europeans in 5 different components, and IMHO it gives a better mixed4 populations oracles, better than the infamous K13.Quote:
Originally Posted by JamesBond007
Right now, we just have to keep using G25, gedmatch isn't that reliable comparing to it.
Dodecad K12b :
Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 3.547707
2 Dutch_Dodecad @ 4.149510
3 CEU30_1000Genomes @ 4.321190
4 English_Dodecad @ 4.433508
5 Kent_1000Genomes @ 4.460861
6 Argyll_1000Genomes @ 5.150399
7 Cornwall_1000Genomes @ 6.123357
8 British_Dodecad @ 6.143931
9 British_Isles_Dodecad @ 6.243843
10 Irish_Dodecad @ 6.326848
11 Orcadian_HGDP @ 6.367440
12 Orkney_1000Genomes @ 6.393582
13 French_Dodecad @ 10.710081
14 German_Dodecad @ 11.014168
15 French_HGDP @ 11.436357
16 Norwegian_Dodecad @ 13.207650
17 Swedish_Dodecad @ 15.786626
18 Hungarians_Behar @ 19.712175
19 Cataluna_1000Genomes @ 24.203848
20 Galicia_1000Genomes @ 25.477442
Using 2 populations approximation:
1 50% Argyll_1000Genomes +50% Mixed_Germanic_Dodecad @ 2.722564
Using 3 populations approximation:
1 50% Argyll_1000Genomes +25% Mixed_Germanic_Dodecad +25% Mixed_Germanic_Dodecad @ 2.722564
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++
1 Argyll_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.634310
2 Argyll_1000Genomes + Argyll_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.722564
3 Argyll_1000Genomes + Kent_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.869009
4 Argyll_1000Genomes + Dutch_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.882358
5 Argyll_1000Genomes + CEU30_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.882728
6 Argyll_1000Genomes + English_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.887494
7 Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 2.889249
8 Irish_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.899449
9 Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000Genomes @ 2.963723
10 Argyll_1000Genomes + Cornwall_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.981114
11 Argyll_1000Genomes + British_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.010854
12 British_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.038926
13 Argyll_1000Genomes + Irish_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.045146
14 Argyll_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 3.054181
15 Cornwall_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.071208
16 Argyll_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000Genomes @ 3.099018
17 Dutch_Dodecad + Irish_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 3.174103
18 Argyll_1000Genomes + Argyll_1000Genomes + Dutch_Dodecad + Mixed_Germanic_Dodecad @ 3.174822
19 Dutch_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 3.178035
20 Kent_1000Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 3.216183
Eurogenes EUtest V2 K15 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Admix Results (sorted):
# Population Percent
1 North_Sea 35.90
2 Atlantic 27.26
3 Baltic 9.98
4 Eastern_Euro 9.54
5 West_Med 9.00
6 West_Asian 4.70
Finished reading population data. 207 populations found.
15 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Southwest_English @ 4.227181
2 Southeast_English @ 4.311458
3 North_Dutch @ 4.412205
4 Danish @ 4.772104
5 West_Scottish @ 4.967160
6 Irish @ 5.035374
7 Orcadian @ 5.136900
8 North_German @ 6.150977
9 Norwegian @ 7.680265
10 South_Dutch @ 8.165316
11 West_Norwegian @ 8.655346
12 West_German @ 9.124647
13 Swedish @ 9.369050
14 North_Swedish @ 12.142170
15 French @ 13.106814
16 East_German @ 14.483371
17 Southwest_Finnish @ 17.617937
18 Austrian @ 19.816404
19 Hungarian @ 20.136675
20 Finnish @ 21.119114
Using 2 populations approximation:
1 50% North_Dutch +50% Southwest_English @ 3.075809
Using 3 populations approximation:
1 50% North_Dutch +25% Southwest_English +25% Southwest_English @ 3.075809
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++
1 East_German + Orcadian + Orcadian + Orcadian @ 2.379456
2 East_German + Orcadian + Orcadian + Southwest_English @ 2.608917
3 East_German + Orcadian + Orcadian + Southeast_English @ 2.750713
4 East_German + Orcadian + Orcadian + West_Scottish @ 2.770147
5 Norwegian + Orcadian + South_Dutch + Southwest_English @ 2.780758
6 North_Swedish + Orcadian + Southwest_English + Southwest_English @ 2.826059
7 East_German + Irish + Orcadian + Orcadian @ 2.872046
8 Orcadian + South_Dutch + Southwest_English + West_Norwegian @ 2.889784
9 Norwegian + Orcadian + Orcadian + South_Dutch @ 2.924936
10 North_Dutch + Orcadian + Orcadian + South_Dutch @ 2.948628
11 North_German + Orcadian + Southwest_English + Southwest_English @ 2.952860
12 Norwegian + Orcadian + Southwest_English + Southwest_English @ 2.954086
13 Norwegian + Orcadian + South_Dutch + Southeast_English @ 2.956412
14 North_German + Southwest_English + Southwest_English + West_Norwegian @ 2.956784
15 Orcadian + South_Dutch + Southwest_English + Swedish @ 2.995584
16 Irish + Norwegian + Orcadian + South_Dutch @ 2.999320
17 North_German + Norwegian + Southwest_English + Southwest_English @ 3.005166
18 North_German + Orcadian + Orcadian + South_Dutch @ 3.005891
19 Norwegian + Orcadian + South_Dutch + West_Scottish @ 3.010474
20 Norwegian + Southeast_English + Southwest_English + Southwest_English @ 3.010906
Done.
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