Post Dodecad Globe K10 from AdmixtureStudio

[XYZ.2018]

I'm Coloured

https://i.postimg.cc/3Rt7TrB4/wewewe.png

[Grace O'Malley]

http://i63.tinypic.com/2i24dh1.jpg

[Adamm]

I guess the 'Southern' stands for Southern Mediterranean right?

https://i.imgur.com/Fjndoo6.png

[drewcastle]

Grandmother

Atlantic_Baltic 65,94%
Southern 24,99%
West_Asian 5,54%
Neo_African 1,1%
Amerindian 1,06%
Australasian 0,52%
Siberian 0,45%
East_Asian 0,39%

Me
Atlantic_Baltic 66,91%
Southern 24,5%
West_Asian 7,49%
South_Asian 0,48%
Australasian 0,36%
Palaeo_African 0,26%
Neo_African 0,01%

[XYZ.2018]

Grandmother

Atlantic_Baltic 65,94%
Southern 24,99%
West_Asian 5,54%
Neo_African 1,1%
Amerindian 1,06%
Australasian 0,52%
Siberian 0,45%
East_Asian 0,39%

Me
Atlantic_Baltic 66,91%
Southern 24,5%
West_Asian 7,49%
South_Asian 0,48%
Australasian 0,36%
Palaeo_African 0,26%
Neo_African 0,01%

You are murcian?

[drewcastle]

You are murcian?Im a mix of valencian and andalusian, my gm is andalusian from northeast

[Lucas]

http://oi65.tinypic.com/iqy0as.jpg

[Coastal Elite]

https://i.imgur.com/pdpaWU7.jpg

[verbcn]

Component %
Atlantic_Baltic 70,98%
West_Asian 11,54%
Siberian 9,66%
Southern 4,37%
South_Asian 3,07%
Palaeo_African 0,35%
Amerindian 0,01%

[Lucas]

Component %
Atlantic_Baltic 70,98%
West_Asian 11,54%
Siberian 9,66%
Southern 4,37%
South_Asian 3,07%
Palaeo_African 0,35%
Amerindian 0,01%

What part of Russia you are?

[verbcn]

What part of Russia you are?

Father was Russian from Grozny and mother from Bashkiria

[Lucas]

Father was Russian from Grozny and mother from Bashkiria

But no Chechen admix in father?

[verbcn]

But no Chechen admix in father?

He was a russian Cossack from Terek

Both grandma and grandad were cossacks

[Celestia]

https://www.theapricity.com/forum/attachment.php?attachmentid=88031&d=1558202723

Whitey

[verbcn]

But no Chechen admix in father?

Are my results strange for a Russian?

[Lucas]

Are my results strange for a Russian?

Post eurogenes K15 from Gedmatch with oracle? both 2-way and 4-way version

[verbcn]

Post eurogenes K15 from Gedmatch with oracle? both 2-way and 4-way version

https://www.theapricity.com/forum/showthread.php?286973-Cossack-Russian-slav-Bashkir-results

I posted multiple calculators along the thread, if you don't find k15 there let me know

[verbcn]

Post eurogenes K15 from Gedmatch with oracle? both 2-way and 4-way version

Component %
East-Slavic 42,73%
East-Finnic 25,15%
Permic 12,73%
Caucasian 10,82%
Uralic 4,97%
Siberian 2,01%
Northeast-Asian 1,59%


My Russia 8 results, barely scoring any siberian but Uralic skyrocketed compared to other calculators calculators

[Lucas]

Component %
East-Slavic 42,73%
East-Finnic 25,15%
Permic 12,73%
Caucasian 10,82%
Uralic 4,97%
Siberian 2,01%
Northeast-Asian 1,59%


My Russia 8 results, barely scoring any siberian but Uralic skyrocketed compared to other calculators calculators

Probably it is divied between those three. Who knows what is Permic too.

Uralic 4,97%
Siberian 2,01%
Northeast-Asian 1,59%

[verbcn]

Probably it is divied between those three. Who knows what is Permic too.

Uralic 4,97%
Siberian 2,01%
Northeast-Asian 1,59%

I'm guessing Erzya and surroundings. Most of closest population calculators say that i peak in Erzya

https://upload.wikimedia.org/wikipedia/commons/thumb/3/3f/Permic_languages.png/300px-Permic_languages.png

[frankhammer]

https://i.imgur.com/AxshNi6.png

[Ritz06]

https://i.imgur.com/ZQLFGW1.png

[oszkar07]

https://i.imgur.com/LbuuxNN.png

[Luke35]

https://i.imgur.com/Cfdxl9c.png

[ksha]

https://i.ibb.co/jMfK6C3/dodecad-globe-10.png (https://ibb.co/R0bnvXQ)

[Bessarion]

https://i.imgur.com/Cfdxl9c.png

Near...

Component %
Atlantic_Baltic 68.16%
West_Asian 14.43%
Southern 12.74%
Amerindian 1.34%
South_Asian 1.25%
Siberian 0.87%
Australasian 0.64%
East_Asian 0.57%

[Pedro Ruben]

Component %
Atlantic_Baltic 62,49%
Southern 23,75%
West_Asian 8,44%
Neo_African 3,40%
Amerindian 0,75%
South_Asian 0,56%
Palaeo_African 0,30%
Siberian 0,28%
East_Asian 0,03%
East_Asian 0,39%

[XYZ.2018]

bump

[Rius]

Component %
West_Asian 39.86%
Southern 25.05%
Atlantic_Baltic 25.01%
East_Asian 4.71%
Siberian 3.19%
South_Asian 1.58%
Palaeo_African 0.57%
Amerindian 0.01%
Australasian 0.01%
Neo_African 0.01%

[Rædwald]

https://i.postimg.cc/QMCZrFFf/dodecadglobe10.png

[farke1]

Component %
Atlantic_Baltic 81.49%
Southern 8.35%
West_Asian 6.32%
South_Asian 1.48%
Siberian 1.21%
Amerindian 0.91%
Australasian 0.12%
East_Asian 0.11%

[Thambi]

Component %
South_Asian 60.7%
West_Asian 33.67%
East_Asian 3.14%
Australasian 0.81%
Southern 0.77%
Amerindian 0.7%
Neo_African 0.18%
Atlantic_Baltic 0.02%

[XYZ.2018]

bump

[Dušan]

According to this calculator, paleo-Balkan component of South Slavs in mixed mode oracle is similar to Jewish.



Component %
West_Asian 15.26%
Australasian 0.92%
Siberian 2.24%
Southern 14.81%
East_Asian 0.04%
Atlantic_Baltic 66.27%
South_Asian 0.45%


Mixed Mode:
1 59.77% Mixed_Slav_D + 40.23% C_Italian_D @ 1.046
2 54.30% O_Italian_D + 45.70% Russian_B @ 1.048
3 70.70% Ukranians_Y + 29.30% Ashkenazy_Jews @ 1.069
4 69.92% Ukranians_Y + 30.08% Ashkenazi_D @ 1.092
5 74.61% Ukranians_Y + 25.39% Sephardic_Jews @ 1.137
6 54.30% O_Italian_D + 45.70% Russian_D @ 1.138
7 62.89% Ukranians_Y + 37.11% C_Italian_D @ 1.150
8 69.14% Ukranians_Y + 30.86% S_Italian_Sicilian_D @ 1.153
9 51.17% Tuscan + 48.83% Russian_B @ 1.197
10 66.80% Mixed_Slav_D + 33.20% S_Italian_Sicilian_D @ 1.201

Least-squares method.

Using 1 populations approximation
1 100% Serb_D @ 5.157
2 100% Hungarians @ 8.667
3 100% Romanians @ 9.204
4 100% Austrian_D @ 9.958
5 100% French @ 10.670
6 100% French_D @ 11.294
7 100% Bulgarians_Y @ 11.434
8 100% N_Italian_D @ 11.466
9 100% Baleares_1KG @ 11.780
10 100% Bulgarian_D @ 12.043

Using 2 populations approximation
1 50% Tuscan + 50% Russian_B @ 1.239
2 50% Tuscan + 50% Russian_D @ 1.412
3 50% O_Italian_D + 50% Mixed_Slav_D @ 1.433
4 50% Hungarians + 50% Romanians @ 1.435
5 50% TSI30 + 50% Russian_B @ 1.445
6 50% TSI30 + 50% Russian_D @ 1.698
7 50% Ukranians_Y + 50% O_Italian_D @ 1.714
8 50% Mixed_Slav_D + 50% Tuscan @ 1.798
9 50% O_Italian_D + 50% Russian_B @ 1.818
10 50% Mixed_Slav_D + 50% TSI30 @ 1.894

Using 3 populations approximation
1 33% Bulgarians_Y + 33% N_Italian_D + 33% Russian_B @ 0.914
2 33% Bulgarians_Y + 33% N_Italian_D + 33% Russian_D @ 1.045
3 33% Mixed_Slav_D + 33% Mixed_Slav_D + 33% S_Italian_Sicilian_D @ 1.192
4 33% Mixed_Slav_D + 33% Mixed_Slav_D + 33% Sicilian_D @ 1.328
5 33% Bulgarians_Y + 33% Bulgarians_Y + 33% Norwegian_D @ 1.366
6 33% Bulgarian_D + 33% Bulgarian_D + 33% Norwegian_D @ 1.377
7 33% Romanians + 33% Romanians + 33% Mixed_Slav_D @ 1.488
8 33% Bulgarian_D + 33% Bulgarian_D + 33% Swedish_D @ 1.513
9 33% Bulgarians_Y + 33% Bulgarians_Y + 33% Swedish_D @ 1.585
10 33% Mixed_Slav_D + 33% Mixed_Slav_D + 33% Ashkenazi_D @ 1.601

Using 4 populations approximation
1 25% Ukranians_Y + 25% Ukranians_Y + 25% Ukranians_Y + 25% Sephardic_Jews @ 1.172
2 25% Ukrainian_D + 25% Ukrainian_D + 25% Ukrainian_D + 25% Sephardic_Jews @ 1.332
3 25% Norwegian_D + 25% Norwegian_D + 25% Norwegian_D + 25% Druze @ 1.373
4 25% Ukranians_Y + 25% Ukranians_Y + 25% Ukranians_Y + 25% Morocco_Jews @ 1.384
5 25% Norwegian_D + 25% Norwegian_D + 25% Swedish_D + 25% Druze @ 1.392
6 25% Ukrainian_D + 25% Ukrainian_D + 25% Ukrainian_D + 25% Morocco_Jews @ 1.401
7 25% O_Italian_D + 25% O_Italian_D + 25% Mixed_Slav_D + 25% Mordovians_Y @ 1.432
8 25% O_Italian_D + 25% O_Italian_D + 25% Mixed_Slav_D + 25% Mixed_Slav_D @ 1.433
9 25% Hungarians + 25% Hungarians + 25% Romanians + 25% Romanians @ 1.435
10 25% O_Italian_D + 25% O_Italian_D + 25% Mixed_Slav_D + 25% Russian_B @ 1.442

[SUPREEEEEME]

----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

0.00% Amerindian
27.38% West_Asian
0.00% Australasian
0.09% Palaeo_African
1.53% Neo_African
2.00% Siberian
30.35% Southern
0.43% East_Asian
37.04% Atlantic_Baltic
1.19% South_Asian

Mixed Mode:
1 60,55% Lebanese + 39,45% Cataluna_1KG @ 1,638
2 92,58% S_Italian_Sicilian_D + 7,42% Uzbeks @ 1,640
3 92,58% Sicilian_D + 7,42% Uzbeks @ 1,671
4 58,20% Samaritan_All + 41,80% Russian_B @ 1,797
5 66,02% Lebanese + 33,98% Pais_Vasco_1KG @ 1,803
6 50,39% Lebanese + 49,61% North_Italian @ 1,833
7 56,64% Lebanese + 43,36% Baleares_1KG @ 1,838
8 58,20% Samaritan_All + 41,80% Russian_D @ 1,843
9 50,39% North_Italian + 49,61% Lebanese @ 1,855
10 58,98% Lebanese + 41,02% Spaniards @ 1,865

Least-squares method.

Using 1 populations approximation
1 100% Sicilian_D @ 3,615
2 100% S_Italian_Sicilian_D @ 3,864
3 100% Ashkenazi_D @ 4,204
4 100% Ashkenazy_Jews @ 4,925
5 100% Greek_D @ 8,266
6 100% C_Italian_D @ 9,655
7 100% Sephardic_Jews @ 11,723
8 100% Morocco_Jews @ 12,058
9 100% Tuscan @ 16,846
10 100% TSI30 @ 17,586

Using 2 populations approximation
1 50% Lebanese + 50% North_Italian @ 1,833
2 50% Lebanese + 50% N_Italian_D @ 2,052
3 50% Serb_D + 50% Palestinian @ 2,781
4 50% Serb_D + 50% Jordanians @ 2,799
5 50% Syrians + 50% Baleares_1KG @ 3,056
6 50% Cantabria_1KG + 50% Iranian_Jews @ 3,182
7 50% Portuguese_D + 50% Uzbekistan_Jews @ 3,207
8 50% Cantabria_1KG + 50% Iraq_Jews @ 3,272
9 50% Castilla_Y_Leon_1KG + 50% Uzbekistan_Jews @ 3,339
10 50% Aragon_1KG + 50% Iranian_Jews @ 3,392

Using 3 populations approximation
1 33% Lebanese + 33% Lebanese + 33% Pais_Vasco_1KG @ 1,845
2 33% Lebanese + 33% Lebanese + 33% French_Basque @ 1,986
3 33% Turkish_Aydin_Ho + 33% Cypriots + 33% Portuguese_D @ 2,074
4 33% Turkish_Aydin_Ho + 33% Cypriots + 33% Extremadura_1KG @ 2,238
5 33% Turkish_Aydin_Ho + 33% Cypriots + 33% Galicia_1KG @ 2,298
6 33% Turkish_Aydin_Ho + 33% Cypriots + 33% Castilla_Y_Leon_1KG @ 2,303
7 33% Turkish_Aydin_Ho + 33% Cypriots + 33% Andalucia_1KG @ 2,352
8 33% Turkish_Aydin_Ho + 33% Cypriots + 33% Murcia_1KG @ 2,365
9 33% Turkish_Aydin_Ho + 33% Cypriots + 33% Castilla_La_Mancha_1KG @ 2,469
10 33% Tuscan + 33% Tuscan + 33% Syrians @ 2,494

Using 4 populations approximation
1 25% Baleares_1KG + 25% Baleares_1KG + 25% North_Ossetians_Y + 25% Yemen_Jews @ 1,642
2 25% Baleares_1KG + 25% Baleares_1KG + 25% North_Ossetians_Y + 25% Saudis @ 1,778
3 25% Canarias_1KG + 25% Canarias_1KG + 25% Kumyks_Y + 25% Samaritan_All @ 1,788
4 25% Lebanese + 25% Lebanese + 25% North_Italian + 25% North_Italian @ 1,833
5 25% Lebanese + 25% Lebanese + 25% North_Italian + 25% N_Italian_D @ 1,879
6 25% N_Italian_D + 25% N_Italian_D + 25% Turkish_Kayseri_Ho + 25% Bedouin @ 2,123
7 25% Andalucia_1KG + 25% Andalucia_1KG + 25% North_Ossetians_Y + 25% Yemen_Jews @ 2,138
8 25% N_Italian_D + 25% N_Italian_D + 25% Turkish_Kayseri_Ho + 25% Palestinian @ 2,196
9 25% Baleares_1KG + 25% Baleares_1KG + 25% Chechens_Y + 25% Saudis @ 2,198
10 25% Baleares_1KG + 25% Baleares_1KG + 25% Chechens_Y + 25% Yemen_Jews @ 2,283

[Chris596]

Components %
West_Asian 18.55
Palaeo_African 0.09
Neo_African 0.53
Siberian 1.75
Southern 14.56
East_Asian 2.01
Atlantic_Baltic 62.04
South_Asian 0.47

Mixed Mode:
1 69.92% Mixed_Germanic_D + 30.08% Turkish_Aydin_Ho @ 1.169
2 69.14% German_D + 30.86% Turkish_Aydin_Ho @ 1.352
3 73.05% Bulgarian_D + 26.95% Russian_B @ 1.367
4 72.27% Kent_1KG + 27.73% Turkish_Istanbul_Ho @ 1.507
5 75.39% Ukrainian_D + 24.61% Lebanese @ 1.518
6 70.70% British_Isles_D + 29.30% Turkish_Kayseri_Ho @ 1.519
7 81.64% Hungarians + 18.36% Turkish_Istanbul_Ho @ 1.525
8 73.83% Bulgarian_D + 26.17% Russian_D @ 1.540
9 70.70% British_D + 29.30% Turkish_Kayseri_Ho @ 1.572
10 73.05% Cornwall_1KG + 26.95% Turkish_Istanbul_Ho @ 1.577

Least-squares method.

Using 1 populations approximation
1 100% Serb_D @ 3.265
2 100% Romanians @ 6.167
3 100% Bulgarians_Y @ 8.214
4 100% Bulgarian_D @ 8.767
5 100% N_Italian_D @ 10.418
6 100% North_Italian @ 12.221
7 100% Hungarians @ 12.437
8 100% Baleares_1KG @ 13.477
9 100% Austrian_D @ 13.861
10 100% French @ 14.490

Using 2 populations approximation
1 50% Russian_B + 50% Greek_D @ 2.050
2 50% Russian_D + 50% Greek_D @ 2.273
3 50% Russian_B + 50% C_Italian_D @ 2.702

Using 3 populations approximation
1 33% English_D + 33% Argyll_1KG + 33% Turkish_Aydin_Ho @ 1.584
2 33% Argyll_1KG + 33% British_Isles_D + 33% Turkish_Aydin_Ho @ 1.737
3 33% English_D + 33% English_D + 33% Turkish_Aydin_Ho @ 1.772

Using 4 populations approximation
1 25% Bulgarian_D + 25% Bulgarian_D + 25% Bulgarian_D + 25% Mordovians_Y @ 1.490
2 25% Ukrainian_D + 25% Ukrainian_D + 25% Ukrainian_D + 25% Lebanese @ 1.574
3 25% Bulgarian_D + 25% Bulgarian_D + 25% Bulgarian_D + 25% Russian_D @ 1.601

Distance: 1.95

83.20% Serb_D
07.60% Mordovians_Y
04.80% Romanians
02.60% Chuvashs
00.60% Dai
00.20% ColouredWellington_Sch
00.20% Burmanese_Ch
00.20% CDX30
00.20% African_American_D
00.20% KHV30
00.20% MAS30

What does ColouredWellington, CDX30, KHV30 and MAS30 mean?

[Luke35]

Component %
Amerindian 0.68%
West_Asian 12.43%
Australasian 0.32%
Palaeo_African 0.01%
Siberian 1.56%
Southern 12.14%
East_Asian 0.01%
Atlantic_Baltic 70.53%
South_Asian 2.31%


Mixed Mode:
1 95.70% Hungarians + 4.30% Bnei_Menashe_Jews @ 0.452
2 96.48% Hungarians + 3.52% Cochin_Jews @ 0.715
3 96.48% Hungarians + 3.52% Sindhi @ 0.825
4 95.70% Hungarians + 4.30% Burusho @ 0.851
5 95.70% Hungarians + 4.30% Pathan @ 0.859
6 96.48% Hungarians + 3.52% Brahmins_from_Tamil_Nadu_M @ 0.890
7 96.48% Hungarians + 3.52% Indian_D @ 0.894
8 96.48% Hungarians + 3.52% Meena_M @ 0.897
9 68.36% Lithuanian_D + 31.64% Ashkenazy_Jews @ 0.898
10 95.70% Hungarians + 4.30% Jatt_D @ 0.905

Least-squares method.

Using 1 populations approximation
1 100% Hungarians @ 3.478
2 100% Austrian_D @ 5.021
3 100% French @ 7.157
4 100% French_D @ 7.650
5 100% Dutch_D @ 9.385
6 100% Mixed_Germanic_D @ 9.544
7 100% Ukrainian_D @ 9.771
8 100% German_D @ 10.311
9 100% Ukranians_Y @ 10.369
10 100% Serb_D @ 10.812

Using 2 populations approximation
1 50% Romanians + 50% Polish_D @ 1.790
2 50% Swedish_D + 50% Bulgarian_D @ 1.924
3 50% Romanians + 50% Belorussian @ 1.959
4 50% Russian_D + 50% N_Italian_D @ 2.031
5 50% Romanians + 50% Swedish_D @ 2.046
6 50% Orkney_1KG + 50% Romanians @ 2.063
7 50% Argyll_1KG + 50% Romanians @ 2.063
8 50% Orcadian + 50% Romanians @ 2.073
9 50% Lithuanian_D + 50% O_Italian_D @ 2.073
10 50% Bulgarians_Y + 50% Swedish_D @ 2.074

Using 3 populations approximation
1 33% Lithuanian_D + 33% Lithuanian_D + 33% Ashkenazi_D @ 1.007
2 33% Lithuanian_D + 33% Lithuanian_D + 33% Sicilian_D @ 1.131
3 33% Lithuanian_D + 33% Lithuanian_D + 33% S_Italian_Sicilian_D @ 1.163
4 33% Lithuanian_D + 33% Lithuanian_D + 33% Ashkenazy_Jews @ 1.224
5 33% Orcadian + 33% Mordovians_Y + 33% Tuscan @ 1.524
6 33% Orcadian + 33% Mordovians_Y + 33% TSI30 @ 1.555
7 33% Orcadian + 33% Mordovians_Y + 33% O_Italian_D @ 1.561
8 33% Lithuanians + 33% Lithuanians + 33% Sephardic_Jews @ 1.608
9 33% Russian_D + 33% Polish_D + 33% C_Italian_D @ 1.610
10 33% British_Isles_D + 33% Mordovians_Y + 33% O_Italian_D @ 1.686

Using 4 populations approximation
1 25% Orcadian + 25% Orcadian + 25% Mordovians_Y + 25% S_Italian_Sicilian_D @ 1.410
2 25% Belorussian + 25% Belorussian + 25% Belorussian + 25% Sephardic_Jews @ 1.415
3 25% Orcadian + 25% Orcadian + 25% Mordovians_Y + 25% Greek_D @ 1.437
4 25% Polish_D + 25% Polish_D + 25% Polish_D + 25% Ashkenazy_Jews @ 1.438
5 25% Orcadian + 25% Orcadian + 25% Mordovians_Y + 25% Sicilian_D @ 1.510
6 25% British_Isles_D + 25% British_Isles_D + 25% Mordovians_Y + 25% Greek_D @ 1.595
7 25% Polish_D + 25% Polish_D + 25% Polish_D + 25% Ashkenazi_D @ 1.598
8 25% Belorussian + 25% Belorussian + 25% Belorussian + 25% Morocco_Jews @ 1.715
9 25% Mixed_Slav_D + 25% Mixed_Slav_D + 25% English_D + 25% Greek_D @ 1.728
10 25% Mixed_Slav_D + 25% Mixed_Slav_D + 25% Argyll_1KG + 25% S_Italian_Sicilian_D @ 1.782

[Dr_Maul]

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 284 populations found.
10 components mode.

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


Mixed Mode:
1 94.92% Iranians + 5.08% Sardinian @ 1.884
2 87.11% Iranians + 12.89% Turkish_Aydin_Ho @ 1.940
3 91.80% Iranians + 8.20% Ashkenazy_Jews @ 1.952
4 91.80% Iranians + 8.20% Ashkenazi_D @ 1.958
5 91.80% Iranians + 8.20% Sicilian_D @ 2.008
6 91.80% Iranians + 8.20% S_Italian_Sicilian_D @ 2.009
7 91.02% Iranians + 8.98% Morocco_Jews @ 2.031
8 90.23% Iranians + 9.77% Sephardic_Jews @ 2.043
9 94.92% Iranians + 5.08% Canarias_1KG @ 2.045
10 93.36% Iranians + 6.64% C_Italian_D @ 2.092

Least-squares method.

Using 1 populations approximation
1 100% Iranian_D @ 3.627
2 100% Iranians @ 4.025
3 100% Kurd_D @ 5.327
4 100% Kurds_Y @ 5.522
5 100% Uzbekistan_Jews @ 8.490
6 100% Armenians_15_Y @ 10.528
7 100% Armenians @ 10.930
8 100% Azerbaijan_Jews @ 11.176
9 100% Armenian_D @ 11.205
10 100% Georgia_Jews @ 12.021

Using 2 populations approximation
1 50% Iranian_D + 50% Iranians @ 3.368
2 50% Iranian_D + 50% Iranian_D @ 3.627
3 50% Iranians + 50% Iranians @ 4.025
4 50% Iranian_D + 50% Kurd_D @ 4.113
5 50% Iranians + 50% Kurds_Y @ 4.125
6 50% Iranians + 50% Kurd_D @ 4.179
7 50% Iranian_D + 50% Kurds_Y @ 4.324
8 50% Iranian_D + 50% Uzbekistan_Jews @ 4.403
9 50% Iranians + 50% Uzbekistan_Jews @ 4.554
10 50% Cypriots + 50% Makrani @ 5.118

Using 3 populations approximation
1 33% Assyrian_D + 33% Turkish_Kayseri_Ho + 33% Makrani @ 2.693
2 33% Turkish_D + 33% Iranian_Jews + 33% Makrani @ 2.849
3 33% Turkish_D + 33% Iranian_Jews + 33% Balochi @ 2.983
4 33% Turks + 33% Iranian_Jews + 33% Makrani @ 3.035
5 33% Iranians + 33% Iranians + 33% Turkish_Kayseri_Ho @ 3.156
6 33% Iranians + 33% Iranians + 33% Turks @ 3.172
7 33% Assyrian_D + 33% Turkish_Kayseri_Ho + 33% Balochi @ 3.217
8 33% Turkish_D + 33% Iranian_Jews + 33% Brahui @ 3.218
9 33% Assyrian_D + 33% Turkish_Kayseri_Ho + 33% Brahui @ 3.295
10 33% Turks + 33% Iranian_Jews + 33% Balochi @ 3.330

Using 4 populations approximation
1 25% Iraq_Jews + 25% Iraq_Jews + 25% North_Ossetians_Y + 25% Pathan @ 2.257
2 25% Iranians + 25% Iranians + 25% Iranians + 25% Turks @ 2.320
3 25% Iranians + 25% Iranians + 25% Iranians + 25% Turkish_Kayseri_Ho @ 2.368
4 25% Armenian_D + 25% Armenian_D + 25% Georgia_Jews + 25% Burusho @ 2.420
5 25% Turkish_D + 25% Turkish_D + 25% Iranian_Jews + 25% Brahui @ 2.424
6 25% Georgia_Jews + 25% Georgia_Jews + 25% Georgia_Jews + 25% Pathan @ 2.443
7 25% Iranians + 25% Iranians + 25% Iranians + 25% Turkish_D @ 2.453
8 25% Azerbaijan_Jews + 25% Azerbaijan_Jews + 25% Armenian_D + 25% Pathan @ 2.471
9 25% Georgia_Jews + 25% Georgia_Jews + 25% Assyrian_D + 25% Pathan @ 2.487
10 25% Armenian_D + 25% Armenian_D + 25% Georgia_Jews + 25% Pathan @ 2.490

[Chris596]

How is this possible? :D Your first result is Hungarian despite being ,,half'' Hungarian (ethnically, no offense). And mixed mode gives you 90-95% Hungarian lol. Really interesting. I guess that genetically you are much closer to ,,modern'' Hungarians than I am (most of our results show that).

[knez01]

----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

1.61% Amerindian
17.83% West_Asian
0.42% Australasian
0.00% Palaeo_African
0.00% Neo_African
0.63% Siberian
16.08% Southern
0.01% East_Asian
63.39% Atlantic_Baltic
0.02% South_Asian

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


Mixed Mode:
1 94,92% Serb_D + 5,08% AthabaskHD4 @ 0,889
2 98,83% Serb_D + 1,17% Colombians @ 1,245
3 98,83% Serb_D + 1,17% Karitiana @ 1,245
4 98,83% Serb_D + 1,17% Surui @ 1,245
5 98,83% Serb_D + 1,17% Pima @ 1,252
6 98,83% Serb_D + 1,17% Maya @ 1,260
7 98,83% Serb_D + 1,17% PEL30 @ 1,300
8 98,05% Serb_D + 1,95% Ecuadorian @ 1,325
9 94,92% Serb_D + 5,08% Aleut @ 1,356
10 98,05% Serb_D + 1,95% MEX30 @ 1,361

Least-squares method.

Using 1 populations approximation
1 100% Serb_D @ 1,925
2 100% Romanians @ 5,486
3 100% Bulgarians_Y @ 7,539
4 100% Bulgarian_D @ 8,182
5 100% N_Italian_D @ 9,019
6 100% North_Italian @ 10,877
7 100% Baleares_1KG @ 12,439
8 100% Hungarians @ 12,698
9 100% Spaniards @ 13,780
10 100% Austrian_D @ 13,971

Using 2 populations approximation
1 50% Serb_D + 50% Serb_D @ 1,925
2 50% Greek_D + 50% Polish_D @ 2,094
3 50% Greek_D + 50% Russian_D @ 2,388
4 50% Greek_D + 50% Belorussian @ 2,393
5 50% Greek_D + 50% Russian_B @ 2,460
6 50% Mixed_Slav_D + 50% Greek_D @ 2,464
7 50% Lithuanian_D + 50% S_Italian_Sicilian_D @ 2,599
8 50% Ashkenazy_Jews + 50% Lithuanians @ 2,727
9 50% Lithuanian_D + 50% Sicilian_D @ 2,759
10 50% Mixed_Slav_D + 50% C_Italian_D @ 2,763

Using 3 populations approximation
1 33% Romanians + 33% Bulgarians_Y + 33% Hungarians @ 1,811
2 33% Bulgarians_Y + 33% Bulgarians_Y + 33% Hungarians @ 1,908
3 33% Serb_D + 33% Serb_D + 33% Serb_D @ 1,925
4 33% Polish_D + 33% Belorussian + 33% Cypriots @ 1,998
5 33% Belorussian + 33% Belorussian + 33% Cypriots @ 2,004
6 33% Bulgarians_Y + 33% Bulgarian_D + 33% Hungarians @ 2,030
7 33% Swedish_D + 33% Swedish_D + 33% Cypriots @ 2,095
8 33% Bulgarians_Y + 33% Bulgarians_Y + 33% Austrian_D @ 2,132
9 33% Polish_D + 33% Polish_D + 33% Cypriots @ 2,144
10 33% Romanians + 33% Romanians + 33% Hungarians @ 2,145

Using 4 populations approximation
1 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Argyll_1KG @ 1,700
2 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Bulgarian_D + 25% Argyll_1KG @ 1,715
3 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Orcadian @ 1,731
4 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Irish_D @ 1,736
5 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Bulgarian_D + 25% Irish_D @ 1,747
6 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Bulgarian_D + 25% Orcadian @ 1,755
7 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Orkney_1KG @ 1,826
8 25% Bulgarian_D + 25% Bulgarian_D + 25% Bulgarian_D + 25% Polish_D @ 1,833
9 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Bulgarian_D + 25% Orkney_1KG @ 1,838
10 25% Bulgarians_Y + 25% Bulgarians_Y + 25% Bulgarians_Y + 25% CEU30 @ 1,850

[alnortedelsur]

Mine:

https://i.imgur.com/Umb7qxk.png

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 284 populations found.
10 components mode.

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


Mixed Mode:
1 51.95% PUR30 + 48.05% N_Italian_D @ 1.295
2 51.17% PUR30 + 48.83% North_Italian @ 1.384
3 50.39% N_Italian_D + 49.61% PUR30 @ 1.415
4 50.39% North_Italian + 49.61% PUR30 @ 1.433
5 62.89% North_Italian + 37.11% Puerto_Rican @ 1.809
6 62.89% N_Italian_D + 37.11% Puerto_Rican @ 2.147
7 52.73% PUR30 + 47.27% O_Italian_D @ 3.039
8 50.39% O_Italian_D + 49.61% PUR30 @ 3.116
9 55.08% PUR30 + 44.92% Bulgarian_D @ 3.203
10 55.08% PUR30 + 44.92% Romanians @ 3.232

Least-squares method.

Using 1 populations approximation
1 100% PUR30 @ 12.056
2 100% North_Italian @ 12.608
3 100% N_Italian_D @ 12.998
4 100% Canarias_1KG @ 13.004
5 100% O_Italian_D @ 13.217
6 100% TSI30 @ 13.837
7 100% Tuscan @ 14.175
8 100% Brazilian_D @ 14.230
9 100% Romanians @ 14.601
10 100% Bulgarian_D @ 14.772

Using 2 populations approximation
1 50% PUR30 + 50% N_Italian_D @ 1.379
2 50% PUR30 + 50% North_Italian @ 1.411
3 50% PUR30 + 50% O_Italian_D @ 3.097
4 50% PUR30 + 50% Romanians @ 3.488
5 50% PUR30 + 50% Bulgarian_D @ 3.495
6 50% PUR30 + 50% TSI30 @ 3.659
7 50% PUR30 + 50% Bulgarians_Y @ 3.786
8 50% PUR30 + 50% Tuscan @ 3.988
9 50% N_Italian_D + 50% Puerto_Rican @ 4.801
10 50% North_Italian + 50% Puerto_Rican @ 4.832

Using 3 populations approximation
1 33% Tuscan + 33% Brazilian_D + 33% Puerto_Rican @ 2.049
2 33% North_Italian + 33% North_Italian + 33% Puerto_Rican @ 2.152
3 33% Greek_D + 33% Cantabria_1KG + 33% Puerto_Rican @ 2.258
4 33% C_Italian_D + 33% Cataluna_1KG + 33% Puerto_Rican @ 2.261
5 33% North_Italian + 33% N_Italian_D + 33% Puerto_Rican @ 2.271
6 33% Greek_D + 33% Aragon_1KG + 33% Puerto_Rican @ 2.451
7 33% Valencia_1KG + 33% Greek_D + 33% Puerto_Rican @ 2.520
8 33% Cataluna_1KG + 33% Greek_D + 33% Puerto_Rican @ 2.534
9 33% N_Italian_D + 33% N_Italian_D + 33% Puerto_Rican @ 2.565
10 33% C_Italian_D + 33% Spanish_D + 33% Puerto_Rican @ 2.577

Using 4 populations approximation
1 25% PUR30 + 25% PUR30 + 25% North_Italian + 25% N_Italian_D @ 1.302
2 25% PUR30 + 25% PUR30 + 25% North_Italian + 25% O_Italian_D @ 1.356
3 25% PUR30 + 25% PUR30 + 25% North_Italian + 25% North_Italian @ 1.411
4 25% PUR30 + 25% PUR30 + 25% North_Italian + 25% Bulgarian_D @ 1.441
5 25% PUR30 + 25% PUR30 + 25% North_Italian + 25% Romanians @ 1.632
6 25% PUR30 + 25% PUR30 + 25% North_Italian + 25% Bulgarians_Y @ 1.645
7 25% PUR30 + 25% PUR30 + 25% North_Italian + 25% TSI30 @ 1.686
8 25% PUR30 + 25% PUR30 + 25% North_Italian + 25% Tuscan @ 1.784
9 25% PUR30 + 25% PUR30 + 25% North_Italian + 25% Serb_D @ 2.540
10 25% Kent_1KG + 25% Kent_1KG + 25% Colombian + 25% Egyptans @ 2.786

I don't understand the terms PUR30 or TS130 btw, and many other weird terms from these calculators. If somebody knows, I would appreciate it

[Chris596]

I don't understand the terms PUR30 or TS130 btw, and many other weird terms from these calculators. If somebody knows I would appreciate it


Interesting results! I also got things like CDX30, KHV30 and MAS30 (I asked about them too). Not sure what they are. Probably some abbreviations for ethnic groups. (in your case Amerindians/Native Americans and in my case probably Central-East Asians).

Edit: nevermind, for you it's probably something else because you get 50-90% and I get small amounts.

[alnortedelsur]

Interesting results! I also got things like CDX30, KHV30 and MAS30 (I asked about them too). Not sure what they are. Probably some abbreviations for ethnic groups. (in your case Amerindians/Native Americans and in my case probably Central-East Asians).

Edit: nevermind, for you it's probably something else because you get 50-90% and I get small amounts.

Yeah, it's weird. Thanks for your explanation, at least trying to guess it.

[Dr_Maul]

Interesting results! I also got things like CDX30, KHV30 and MAS30 (I asked about them too). Not sure what they are. Probably some abbreviations for ethnic groups. (in your case Amerindians/Native Americans and in my case probably Central-East Asians).

The acronyms are representative of ancient burial sites / excavations, similar to IRN_Ganj_Dareh, Turkmenistan_IA etc. CDX30 is a neolithic South Chinese (Cantonese) if I recall, KHV30 is Neolithic Philippines and idk the other one but its some sort of Neolithic East Asian

[alnortedelsur]

The acronyms are representative of ancient burial sites / excavations, similar to IRN_Ganj_Dareh, Turkmenistan_IA etc. CDX30 is a neolithic South Chinese (Cantonese) if I recall, KHV30 is Neolithic Philippines and idk the other one but its some sort of Neolithic East Asian

The funny thing is that they don't give an index or something to look up the meaning of those weird terms, so that you know what the heck they're talking about.

Thanks!

[Luke35]

How is this possible? :D Your first result is Hungarian despite being ,,half'' Hungarian (ethnically, no offense). And mixed mode gives you 90-95% Hungarian lol. Really interesting. I guess that genetically you are much closer to ,,modern'' Hungarians than I am (most of our results show that).

Every now and then I get very Hungarian results. Something about how they split the components on this calculator works to my advantage, as far as shifting my usual mid-point (Austria), into Hungary.

[Grace O'Malley]

I'd say this calculator is a bit of a fail for me but I've never found Dodecad particularly accurate.

Components %
Amerindian 1.51
West_Asian 8.43
Australasian 0.00
Palaeo_African 0.00
Neo_African 0.00
Siberian 0.42
Southern 9.43
East_Asian 0.00
Atlantic_Baltic 79.50
South_Asian 0.71

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 284 populations found.
10 components mode.

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


Mixed Mode:
1 98.83% German_D + 1.17% PEL30 @ 0.881
2 98.83% German_D + 1.17% Maya @ 0.896
3 98.83% German_D + 1.17% Colombians @ 0.901
4 98.83% German_D + 1.17% Karitiana @ 0.901
5 98.83% German_D + 1.17% Surui @ 0.901
6 98.83% German_D + 1.17% Pima @ 0.905
7 97.27% German_D + 2.73% AthabaskHD4 @ 0.937
8 98.83% German_D + 1.17% Ecuadorian @ 1.000
9 98.83% German_D + 1.17% Athabask @ 1.004
10 98.83% German_D + 1.17% MEX30 @ 1.039

Least-squares method.

Using 1 populations approximation
1 100% German_D @ 1.460
2 100% Mixed_Germanic_D @ 2.076
3 100% CEU30 @ 2.128
4 100% Dutch_D @ 2.191
5 100% Cornwall_1KG @ 2.416
6 100% Kent_1KG @ 2.905
7 100% Argyll_1KG @ 3.112
8 100% English_D @ 3.523
9 100% British_D @ 3.769
10 100% British_Isles_D @ 3.921

Using 2 populations approximation
1 50% German_D + 50% German_D @ 1.460
2 50% German_D + 50% CEU30 @ 1.550
3 50% German_D + 50% Cornwall_1KG @ 1.613
4 50% German_D + 50% Mixed_Germanic_D @ 1.667
5 50% German_D + 50% Dutch_D @ 1.680
6 50% Cornwall_1KG + 50% Ukrainian_D @ 1.701
7 50% Mixed_Germanic_D + 50% Argyll_1KG @ 1.717
8 50% Kent_1KG + 50% Ukrainian_D @ 1.749
9 50% Cornwall_1KG + 50% Ukranians_Y @ 1.797
10 50% Belorussian + 50% French @ 1.800

Using 3 populations approximation
1 33% Irish_D + 33% Irish_D + 33% Hungarians @ 1.167
2 33% Orcadian + 33% Irish_D + 33% Hungarians @ 1.237
3 33% Irish_D + 33% Orkney_1KG + 33% Hungarians @ 1.306
4 33% Cornwall_1KG + 33% Cornwall_1KG + 33% Ukrainian_D @ 1.329
5 33% Orcadian + 33% Orcadian + 33% Hungarians @ 1.329
6 33% Cornwall_1KG + 33% Cornwall_1KG + 33% Ukranians_Y @ 1.406
7 33% Cornwall_1KG + 33% Kent_1KG + 33% Ukrainian_D @ 1.431
8 33% Argyll_1KG + 33% Argyll_1KG + 33% Hungarians @ 1.439
9 33% German_D + 33% German_D + 33% CEU30 @ 1.451
10 33% German_D + 33% German_D + 33% German_D @ 1.460

Using 4 populations approximation
1 25% Irish_D + 25% Irish_D + 25% Ukrainian_D + 25% Austrian_D @ 1.313
2 25% Irish_D + 25% Irish_D + 25% Ukrainian_D + 25% French @ 1.350
3 25% Argyll_1KG + 25% Argyll_1KG + 25% Argyll_1KG + 25% Hungarians @ 1.356
4 25% Irish_D + 25% Irish_D + 25% Ukrainian_D + 25% Hungarians @ 1.363
5 25% Cornwall_1KG + 25% Cornwall_1KG + 25% Cornwall_1KG + 25% Ukrainian_D @ 1.412
6 25% Orcadian + 25% Orcadian + 25% Ukrainian_D + 25% Austrian_D @ 1.414
7 25% Argyll_1KG + 25% Argyll_1KG + 25% English_D + 25% Hungarians @ 1.419
8 25% German_D + 25% German_D + 25% German_D + 25% Cornwall_1KG @ 1.421
9 25% German_D + 25% German_D + 25% German_D + 25% CEU30 @ 1.427
10 25% Irish_D + 25% Irish_D + 25% Ukrainian_D + 25% French_D @ 1.439

nMonte Calculator by www.dnagenics.com
v1.1 04/02/2020

Finished reading population data. 284 populations found.
10 components mode.

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



Distance: 0.92

82.80% German_D
09.40% Irish_D
04.40% Cornwall_1KG
01.80% Argyll_1KG
00.60% Orkney_1KG
00.40% Karitiana
00.20% AthabaskHD4
00.20% Colombians
00.20% Surui

[Blemoir]

Component %
Amerindian 1,93%
West_Asian 14,82%
Australasian 1,35%
Palaeo_African 1,11%
Neo_African 4,78%
Siberian 0,01%
Southern 25,78%
Atlantic_Baltic 50,20%
South_Asian 0,01%

Mixed Mode:
1 71,48% Brazilian_D + 28,52% Lebanese @ 2,618
2 76,17% Romanians + 23,83% Moroccans @ 2,775
3 74,61% Brazilian_D + 25,39% Syrians @ 2,814
4 76,17% Romanians + 23,83% Mozabite @ 2,950
5 77,73% TSI30 + 22,27% Puerto_Rican @ 2,977
6 59,77% Cornwall_1KG + 40,23% Egyptans @ 3,032
7 65,23% French + 34,77% Egyptans @ 3,055
8 66,80% Serb_D + 33,20% Algerian_D @ 3,077
9 65,23% French_D + 34,77% Egyptans @ 3,077
10 58,98% Kent_1KG + 41,02% Egyptans @ 3,093

Least-squares method.

Using 1 populations approximation
1 100% O_Italian_D @ 8,032
2 100% TSI30 @ 8,053
3 100% Tuscan @ 8,302
4 100% North_Italian @ 10,691
5 100% N_Italian_D @ 11,315
6 100% C_Italian_D @ 12,320
7 100% Bulgarian_D @ 12,448
8 100% Bulgarians_Y @ 13,237
9 100% Romanians @ 13,444
10 100% Canarias_1KG @ 13,637

Using 2 populations approximation
1 50% Brazilian_D + 50% Sicilian_D @ 4,058
2 50% Brazilian_D + 50% S_Italian_Sicilian_D @ 4,340
3 50% Brazilian_D + 50% Ashkenazi_D @ 4,366
4 50% Brazilian_D + 50% Ashkenazy_Jews @ 4,696
5 50% Lithuanians + 50% Egyptans @ 4,806
6 50% Canarias_1KG + 50% Greek_D @ 5,474
7 50% Lithuanian_D + 50% Egyptans @ 5,521
8 50% Lithuanians + 50% Bedouin @ 5,556
9 50% Greek_D + 50% Brazilian_D @ 5,604
10 50% C_Italian_D + 50% Canarias_1KG @ 5,718

Using 3 populations approximation
1 33% Serb_D + 33% Serb_D + 33% Algerian_D @ 3,079
2 33% French_D + 33% Hungarians + 33% Egyptans @ 3,148
3 33% French + 33% French + 33% Egyptans @ 3,157
4 33% French + 33% French_D + 33% Egyptans @ 3,194
5 33% French_D + 33% French_D + 33% Egyptans @ 3,256
6 33% TSI30 + 33% TSI30 + 33% PUR30 @ 3,313
7 33% French_D + 33% French_D + 33% Yemenese @ 3,350
8 33% TSI30 + 33% Tuscan + 33% PUR30 @ 3,355
9 33% PUR30 + 33% Extremadura_1KG + 33% S_Italian_Sicilian_D @ 3,384
10 33% N_Italian_D + 33% C_Italian_D + 33% PUR30 @ 3,407

Using 4 populations approximation
1 25% Portuguese_D + 25% Portuguese_D + 25% PUR30 + 25% Cypriots @ 2,808
2 25% Brazilian_D + 25% Brazilian_D + 25% Brazilian_D + 25% Syrians @ 2,850
3 25% Romanians + 25% Romanians + 25% Romanians + 25% Moroccans @ 2,889
4 25% Mixed_Germanic_D + 25% Mixed_Germanic_D + 25% Moroccan_D + 25% Lebanese @ 2,921
5 25% Dutch_D + 25% Dutch_D + 25% Moroccan_D + 25% Lebanese @ 2,997
6 25% Romanians + 25% Romanians + 25% Romanians + 25% Mozabite @ 3,045
7 25% Portuguese_D + 25% Portuguese_D + 25% PUR30 + 25% Turkish_D @ 3,052
8 25% Tuscan + 25% Tuscan + 25% North_Italian + 25% Puerto_Rican @ 3,062
9 25% Norwegian_D + 25% Norwegian_D + 25% Mozabite + 25% Iraq_Jews @ 3,085
10 25% TSI30 + 25% TSI30 + 25% TSI30 + 25% Puerto_Rican @ 3,090

[Blemoir]

Mine:

I don't understand the terms PUR30 or TS130 btw, and many other weird terms from these calculators. If somebody knows, I would appreciate it

PUR30 means Puerto Rican and TSI30 means Tuscan Italian.