RN97's various GEDMatch results

[RN97]

The results haven't processed yet, but I think they're good to go?


1. Eurogenes EUtest V2 K15 Oracle results:



# Population Percent
1 North_Sea 29.06
2 Atlantic 22.97
3 Baltic 10.6
4 West_Med 10.54
5 East_Med 8.97
6 Eastern_Euro 7.73
7 West_Asian 6.82
8 South_Asian 1.94
9 Siberian 0.9
10 Red_Sea 0.37
11 Sub-Saharan 0.1

Single Population Sharing:

# Population (source) Distance
1 West_German 5.4
2 South_Dutch 5.82
3 French 6.93
4 North_German 9.25
5 Southwest_English 10.06
6 East_German 10.12
7 Southeast_English 10.46
8 Danish 11.23
9 Austrian 11.27
10 North_Dutch 11.42
11 Hungarian 11.63
12 Irish 12.12
13 Serbian 12.3
14 West_Scottish 12.63
15 Orcadian 13.29
16 Norwegian 13.32
17 Swedish 13.64
18 Spanish_Galicia 13.73
19 Spanish_Cataluna 13.85
20 Portuguese 14.55

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.2% Orcadian + 35.8% Greek @ 2.07
2 63.2% West_Scottish + 36.8% Greek_Thessaly @ 2.16
3 62% Orcadian + 38% Greek_Thessaly @ 2.25
4 66% Danish + 34% Greek_Thessaly @ 2.3
5 67.7% Southeast_English + 32.3% Greek_Thessaly @ 2.39
6 70.7% Danish + 29.3% Central_Greek @ 2.42

[RN97]

2. Eurogenes K13 Oracle results:
Admix Results (sorted):

# Population Percent
1 North_Atlantic 38.7
2 Baltic 21.89
3 West_Med 14.9
4 East_Med 12.86
5 West_Asian 7.6
6 South_Asian 2.15
7 Siberian 1.24
8 Sub-Saharan 0.39
9 Amerindian 0.2
10 Red_Sea 0.06

Single Population Sharing:

# Population (source) Distance
1 West_German 5.73
2 South_Dutch 7.32
3 French 7.91
4 Austrian 8.5
5 Hungarian 10.84
6 East_German 10.89
7 Serbian 11.9
8 North_German 12.32
9 Southeast_English 12.72
10 Danish 14.04
11 Spanish_Cataluna 14.07
12 Romanian 14.13
13 North_Dutch 14.39
14 Portuguese 14.6
15 Orcadian 14.64
16 Southwest_English 14.75
17 Spanish_Galicia 14.99
18 Spanish_Castilla_Y_Leon 15.52
19 Irish 15.72
20 North_Italian 15.96

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.2% Danish + 38.8% Greek_Thessaly @ 2.34
2 60.2% Orcadian + 39.8% Greek_Thessaly @ 2.55
3 81% West_German + 19% Greek_Thessaly @ 2.56
4 85.5% West_German + 14.5% Ashkenazi @ 2.6
5 66.7% Danish + 33.3% Central_Greek @ 2.73
6 76.9% West_German + 23.1% Bulgarian @ 2.74
7 73.5% West_German + 26.5% Romanian @ 2.79

[RN97]

3. Eurogenes K36 Admixture Proportions

Population
Amerindian -
Arabian -
Armenian 0.73
Basque 2.52
Central_African -
Central_Euro 7.94
East_African -
East_Asian -
East_Balkan 3.61
East_Central_Asian -
East_Central_Euro 3.58
East_Med 7.26
Eastern_Euro 3.44
Fennoscandian 8.61
French 6.51
Iberian 10.93
Indo-Chinese -
Italian 6.97
Malayan -
Near_Eastern -
North_African -
North_Atlantic 11.30
North_Caucasian -
North_Sea 15.65
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian 3.60
South_Chinese -
Volga-Ural 2.86
West_African -
West_Caucasian 1.35
West_Med 3.13

[RN97]

If you want me to try any calculators, just suggest one and I'll do so.

[Peterski]

If you want me to try any calculators, just suggest one and I'll do so.

Try these tools for Eurogenes K36:

http://gen3553.pagesperso-orange.fr/ADN/similitude2.htm

http://gen3553.pagesperso-orange.fr/ADN/ancient.htm

http://gen3553.pagesperso-orange.fr/ADN/K36expe3.htm

[Brás Garcia de Mascarenhas]

Very interesting results. You're half-Norwegian, half-Romanian and you don't really cluster with any of them. You cluster better with Germanic people from Central Europe, which kinda makes sense.

[Peterski]

3. Eurogenes K36 Admixture Proportions

Population
Amerindian -
Arabian -
Armenian 0.73
Basque 2.52
Central_African -
Central_Euro 7.94
East_African -
East_Asian -
East_Balkan 3.61
East_Central_Asian -
East_Central_Euro 3.58
East_Med 7.26
Eastern_Euro 3.44
Fennoscandian 8.61
French 6.51
Iberian 10.93
Indo-Chinese -
Italian 6.97
Malayan -
Near_Eastern -
North_African -
North_Atlantic 11.30
North_Caucasian -
North_Sea 15.65
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian 3.60
South_Chinese -
Volga-Ural 2.86
West_African -
West_Caucasian 1.35
West_Med 3.13

Weird, you seem to be fully West Eurasian based on these K36 results.

No Mongoloid or Sub-Saharan admixtures (unlike in your 23andMe).

[Brás Garcia de Mascarenhas]

Weird, you seem to be fully West Eurasian based on these K36 results.

No Mongoloid or Sub-Saharan admixtures (unlike in your 23andMe).

I am more surprised with the fact he is 10.93% Iberian on K36 :eek:

[Isleño]

You could walk the streets of West Germany and no one would blink an eye!

[Petalpusher]

I predicted last time you would be next to Austria in K15, not far off, it could have spared a test hehe. One or two of your parents are not exactly average, just normal variation. Your point is still very much like an intermediate between Romania and Norway.

https://s23.postimg.org/3mssgau3d/K15_V51rn97.jpg

[Peterski]

Here is what you get in this tool (Norway 73%, Central Romania 71%, West Germany 84%). Mix a Romanian with a Norwegian, and you get a German (we can actually simulate such mixes by simply averaging K36 results of any two or more people - it is fun to check where would various mixes plot):

http://gen3553.pagesperso-orange.fr/ADN/similitude2.htm

http://i.imgur.com/XCM79a7.png

[RN97]

Try these tools for Eurogenes K36:

http://gen3553.pagesperso-orange.fr/ADN/similitude2.htm

http://gen3553.pagesperso-orange.fr/ADN/ancient.htm

http://gen3553.pagesperso-orange.fr/ADN/K36expe3.htm

damn that took a long ass time to do, lol!
1.
http://i.imgur.com/UNYk1za.png
2.
http://i.imgur.com/XiWLJbS.png
3.
http://i.imgur.com/JNpSYwY.png

Feel free to tell me what that means. I know the 1st, but the two others, IDK.

[RN97]

I predicted last time you would be next to Austria in K15, not far off, it could have spared a test hehe. One or two of your parents are not exactly average, just normal variation. Your point is still very much like an intermediate between Romania and Norway.

https://s23.postimg.org/3mssgau3d/K15_V51rn97.jpg

I actually got told from my granny just now that my dad's grandfather was German :p

[Peterski]

There were German immigrants in Norway.

[Petalpusher]

I actually got told from my granny just now that my dad's grandfather was German :p

Makes perfect sense, if your Norwegian side is more like N.Dutch with that 1/4 German, then probably all of your 4 GP are very in the average of their country cause your point is exactly between N.Dutch and Romania.

[RN97]

There were German immigrants in Norway.

I heard from here that it had something to do with a war. He was a soldier, not a immigrant.

[Dr. Robotnik the Subbotnik]

Weird, you seem to be fully West Eurasian based on these K36 results.

No Mongoloid or Sub-Saharan admixtures (unlike in your 23andMe).

It's the same for me. My results are similar to RN97's as far as Mongoloid stuff goes..on some calculators I get high for a European and some none at all (but it could be blending in with Uralic or Fennoscandian).

[Ibericus]

You are closest to Austria Tyrol in my PCA :

https://image.ibb.co/copyhv/RN97.jpg

[Enflamme]

I am more surprised with the fact he is 10.93% Iberian on K36 :eek:

You know at least that the results are not to be taken literally?

For example, some people in France do not even get "15"% in the "French" category ... this is not to be taken literally.

[Peterski]

Your K36 Ancient Oracle 2.0:

Least-squares method.

Using 1 population approximation:
1 IA_Celto-German_3DRIF16 @ 14,644693
2 BA_Czechia_RISE577 @ 15,309231
3 IA_GaulishCelt_6DRIF22 @ 16,266831
4 BA_Silesia_RISE150 @ 16,29403
5 IA_GaelicCelt_6DRIF18 @ 16,427619
6 IA_CelticBriton_HI4 @ 17,045489
7 IA_PictishBrit_6DRIF21 @ 17,080573
8 IA_CelticBriton_HI1 @ 17,416493
9 IA_Celto-German_6DRIF3 @ 17,464867
10 LBA_Hungary_BR2 @ 18,361264
11 BA_Ireland_Rathlin1 @ 18,64594
12 BA_Hungary_BR1 @ 19,031132
13 BA_EastGermany_I0803 @ 19,180781
14 LBA_EastGermany_I0099 @ 19,888789
15 IA_BritishCelt_6DRIF23 @ 20,172319
16 EMA_Northumbrian_NO3423 @ 21,337357
17 IA_Sweden_RISE174 @ 22,03097
18 IA_EastGermanic_Kow55 @ 22,035609
19 BA_Silesia_RISE154 @ 22,728162
20 BA_EastGermany_I0116 @ 22,995226
96 iterations.

Using 2 populations approximation:
1 EMA_AngloSaxon_HS2+LBA_Hungary_BR2 @ 10,82195
2 IA_Celto-German_6DRIF3+LBA_Hungary_BR2 @ 11,703411
3 IA_GaulishCelt_6DRIF22+IA_Celto-German_3DRIF16 @ 12,1816
4 EMA_Northumbrian_NO3423+LBA_Hungary_BR2 @ 12,229536
5 LBA_Hungary_BR2+BA_Czechia_RISE577 @ 12,305195
6 IA_CelticBriton_HI1+LBA_Hungary_BR2 @ 12,358846
7 LBA_Hungary_BR2+BA_Silesia_RISE150 @ 12,366483
8 IA_CelticBriton_HI4+IA_Celto-German_3DRIF16 @ 12,38279
9 LBA_Hungary_BR2+BA_EastGermany_I0803 @ 12,414657
10 IA_GaelicCelt_6DRIF18+LBA_Hungary_BR2 @ 12,479393
11 IA_PictishBrit_6DRIF21+LBA_Hungary_BR2 @ 12,825515
12 IA_Celto-German_3DRIF16+BA_Czechia_RISE577 @ 12,885377
13 BA_Hungary_BR1+BA_Czechia_RISE577 @ 12,934321
14 IA_GaulishCelt_6DRIF22+IA_Celto-German_6DRIF3 @ 12,944923
15 IA_Celto-German_3DRIF16+BA_Silesia_RISE150 @ 12,952333
16 IA_Celto-German_3DRIF16+LBA_Hungary_BR2 @ 13,023225
17 IA_GaulishCelt_6DRIF22+EMA_AngloSaxon_HS2 @ 13,045956
18 IA_GaulishCelt_6DRIF22+BA_Czechia_RISE577 @ 13,133411
19 IA_PictishBrit_6DRIF21+IA_Celto-German_3DRIF16 @ 13,244789
20 IA_CelticBriton_HI1+BA_Hungary_BR1 @ 13,249519
4656 iterations.

Using 3 populations approximation:
1 50% IA_CelticBriton_HI1 +25% LBA_Denmark_RISE276 +25% CA_MarmaraSea_I1584 @ 7,264012
2 50% BA_Czechia_RISE577 +25% IA_EastGermanic_Kow25 +25% CA_MarmaraSea_I1584 @ 7,796683
3 50% BA_Silesia_RISE150 +25% IA_Celto-German_3DRIF16 +25% CA_MarmaraSea_I1584 @ 8,399317
4 50% BA_Silesia_RISE150 +25% EMA_AngloSaxon_HS2 +25% CA_MarmaraSea_I1584 @ 8,444113
5 50% IA_CelticBriton_HI1 +25% CA_MarmaraSea_I1584 +25% IA_Sweden_RISE174 @ 8,481656
6 50% IA_CelticBriton_HI1 +25% CA_MarmaraSea_I1584 +25% EMA_Balto-Slav_Niem34 @ 8,509244
7 50% IA_CelticBriton_HI4 +25% IA_EastGermanic_Mas5 +25% CA_MarmaraSea_I1584 @ 8,645685
8 50% EMA_Northumbrian_NO3423 +25% IA_EastGermanic_Kow55 +25% CA_MarmaraSea_I1584 @ 8,664954
9 50% BA_Silesia_RISE150 +25% IA_Celto-German_6DRIF3 +25% CA_MarmaraSea_I1584 @ 8,796386
10 50% BA_Czechia_RISE577 +25% LBA_Denmark_RISE276 +25% CA_MarmaraSea_I1584 @ 8,831524
11 50% IA_GaulishCelt_6DRIF22 +25% EMA_AngloSaxon_HS2 +25% CA_MarmaraSea_I1584 @ 8,870078
12 50% BA_Czechia_RISE577 +25% IA_Celto-German_6DRIF3 +25% CA_MarmaraSea_I1584 @ 8,875427
13 50% BA_Silesia_RISE150 +25% EMA_AngloSaxon_HS1 +25% CA_MarmaraSea_I1584 @ 8,933223
14 50% BA_Czechia_RISE577 +25% IA_EastGermanic_Kow45 +25% CA_MarmaraSea_I1584 @ 8,933907
15 50% BA_Silesia_RISE150 +25% BA_Czechia_RISE577 +25% CA_MarmaraSea_I1584 @ 8,93801
16 50% BA_Czechia_RISE577 +25% CA_MarmaraSea_I1584 +25% IA_Sweden_RISE174 @ 8,942501
17 50% BA_Czechia_RISE577 +25% IA_EastGermanic_Kow55 +25% CA_MarmaraSea_I1584 @ 8,95496
18 50% EMA_Northumbrian_NO3423 +25% IA_GaulishCelt_6DRIF22 +25% CA_MarmaraSea_I1584 @ 8,956154
19 50% IA_GaelicCelt_6DRIF18 +25% IA_EastGermanic_Kow25 +25% CA_MarmaraSea_I1584 @ 8,965842
20 50% BA_EastGermany_I0803 +25% IA_CelticBriton_HI4 +25% CA_MarmaraSea_I1584 @ 8,973455
375654 iterations.

Using 4 populations approximation:
1 IA_CelticBriton_HI1+IA_CelticBriton_HI1+LBA_Denmar k_RISE276+CA_MarmaraSea_I1584 @ 7,264012
2 IA_EastGermanic_Kow25+EMA_Northumbrian_NO3423+LBA_ Hungary_BR2+CA_MarmaraSea_I1584 @ 7,519866
3 IA_CelticBriton_HI1+LBA_Denmark_RISE276+BA_Czechia _RISE577+CA_MarmaraSea_I1584 @ 7,523031
4 IA_GaulishCelt_6DRIF22+IA_EastGermanic_Kow25+EMA_N orthumbrian_NO3423+CA_MarmaraSea_I1584 @ 7,535455
5 IA_GaulishCelt_6DRIF22+EMA_AngloSaxon_HS2+BA_Siles ia_RISE150+CA_MarmaraSea_I1584 @ 7,576429
6 IA_CelticBriton_HI1+EMA_AngloSaxon_HS2+BA_Hungary_ BR1+CA_MarmaraSea_I1584 @ 7,694727
7 IA_CelticBriton_HI1+EMA_AngloSaxon_HS2+LBA_Denmark _RISE276+CA_MarmaraSea_I1584 @ 7,713437
8 IA_CelticBriton_HI1+LBA_Denmark_RISE276+BA_Silesia _RISE150+CA_MarmaraSea_I1584 @ 7,744095
9 IA_EastGermanic_Kow25+BA_Czechia_RISE577+BA_EastGe rmany_I0116+CA_MarmaraSea_I1584 @ 7,744446
10 IA_EastGermanic_Kow25+BA_Czechia_RISE577+BA_Czechi a_RISE577+CA_MarmaraSea_I1584 @ 7,796683
11 EMA_AngloSaxon_HS2+BA_Hungary_BR1+BA_Silesia_RISE1 50+CA_MarmaraSea_I1584 @ 7,831186
12 IA_EastGermanic_Kow25+BA_Silesia_RISE150+BA_Czechi a_RISE577+CA_MarmaraSea_I1584 @ 7,852656
13 IA_CelticBriton_HI1+EMA_AngloSaxon_HS1+LBA_Denmark _RISE276+CA_MarmaraSea_I1584 @ 7,889072
14 IA_GaulishCelt_6DRIF22+EMA_AngloSaxon_HS2+BA_EastG ermany_I0803+CA_MarmaraSea_I1584 @ 7,895518
15 IA_CelticBriton_HI1+IA_EastGermanic_Kow55+EMA_Nort humbrian_NO3423+CA_MarmaraSea_I1584 @ 7,897584
16 IA_GaulishCelt_6DRIF22+IA_EastGermanic_Kow25+BA_Cz echia_RISE577+CA_MarmaraSea_I1584 @ 7,90832
17 IA_PictishBrit_6DRIF21+IA_CelticBriton_HI1+LBA_Den mark_RISE276+CA_MarmaraSea_I1584 @ 7,924415
18 IA_CelticBriton_HI1+IA_Celto-German_3DRIF16+LBA_Denmark_RISE276+CA_MarmaraSea_I 1584 @ 7,947947
19 IA_BritishCelt_6DRIF23+IA_EastGermanic_Kow25+EMA_N orthumbrian_NO3423+CA_MarmaraSea_I1584 @ 7,98077
20 IA_EastGermanic_Kow25+BA_Ireland_Rathlin1+BA_Czech ia_RISE577+CA_MarmaraSea_I1584 @ 7,983312
21 IA_EastGermanic_Kow25+EMA_Northumbrian_NO3423+BA_C zechia_RISE577+CA_MarmaraSea_I1584 @ 7,99823
22 EMA_AngloSaxon_HS2+LBA_Hungary_BR2+BA_Silesia_RISE 150+CA_MarmaraSea_I1584 @ 8,004696
23 IA_EastGermanic_Kow25+BA_Czechia_RISE577+BA_EastGe rmany_I0803+CA_MarmaraSea_I1584 @ 8,017973
24 IA_CelticBriton_HI4+EMA_AngloSaxon_HS2+BA_Hungary_ BR1+CA_MarmaraSea_I1584 @ 8,044918
25 IA_GaulishCelt_6DRIF22+EMA_AngloSaxon_HS2+EMA_Nort humbrian_NO3423+CA_MarmaraSea_I1584 @ 8,045588
26 IA_CelticBriton_HI1+IA_EastGermanic_Kow25+BA_EastG ermany_I0116+CA_MarmaraSea_I1584 @ 8,070528
27 IA_CelticBriton_HI4+IA_EastGermanic_Kow25+EMA_Nort humbrian_NO3423+CA_MarmaraSea_I1584 @ 8,083382
28 IA_CelticBriton_HI4+IA_EastGermanic_Kow25+BA_Czech ia_RISE577+CA_MarmaraSea_I1584 @ 8,101926
29 IA_CelticBriton_HI1+IA_EastGermanic_Kow25+BA_Czech ia_RISE577+CA_MarmaraSea_I1584 @ 8,114596
30 IA_GaelicCelt_6DRIF18+IA_EastGermanic_Kow25+BA_Cze chia_RISE577+CA_MarmaraSea_I1584 @ 8,123492
31 IA_CelticBriton_HI1+EMA_Northumbrian_NO3423+LBA_De nmark_RISE276+CA_MarmaraSea_I1584 @ 8,126023
32 IA_BritishCelt_6DRIF23+IA_EastGermanic_Kow25+BA_Cz echia_RISE577+CA_MarmaraSea_I1584 @ 8,12729
33 IA_CelticBriton_HI1+BA_Czechia_RISE586+CA_MarmaraS ea_I1584+EMA_Balto-Slav_Niem34 @ 8,129532
34 IA_GaulishCelt_6DRIF22+EMA_AngloSaxon_HS2+BA_Irela nd_Rathlin1+CA_MarmaraSea_I1584 @ 8,152487
35 IA_CelticBriton_HI1+BA_Czechia_RISE577+CA_MarmaraS ea_I1584+IA_Sweden_RISE174 @ 8,195642
36 IA_Celto-German_3DRIF16+IA_EastGermanic_Kow55+EMA_Northumbr ian_NO3423+CA_MarmaraSea_I1584 @ 8,195668
37 IA_GaulishCelt_6DRIF22+EMA_AngloSaxon_HS2+CA_Marma raSea_I1584+IA_Sweden_RISE174 @ 8,199438
38 IA_GaulishCelt_6DRIF22+IA_CelticBriton_HI1+EMA_Ang loSaxon_HS2+CA_MarmaraSea_I1584 @ 8,201121
39 IA_CelticBriton_HI1+IA_CelticBriton_HI4+LBA_Denmar k_RISE276+CA_MarmaraSea_I1584 @ 8,205678
40 IA_CelticBriton_HI1+IA_EastGermanic_Kow45+EMA_Angl oSaxon_HS2+CA_MarmaraSea_I1584 @ 8,212919
2084196 iterations.

Gaussian method.
Noise dispersion set to 0,130062

Using 1 population approximation:
1 LBA_Hungary_BR2 @ 14,142793
2 BA_Hungary_BR1 @ 23,356049
3 BA_Czechia_RISE577 @ 23,365725
4 IA_GaelicCelt_6DRIF18 @ 23,3936
5 IA_Celto-German_3DRIF16 @ 23,554718
6 IA_PictishBrit_6DRIF21 @ 23,565343
7 IA_GaulishCelt_6DRIF22 @ 23,971281
8 LBA_EastGermany_I0099 @ 24,989291
9 IA_Celto-German_6DRIF3 @ 25,490167
10 IA_CelticBriton_HI4 @ 25,625722
11 IA_CelticBriton_HI1 @ 25,752001
12 EMA_AngloSaxon_HS2 @ 26,132155
13 BA_Silesia_RISE150 @ 26,271777
14 IA_BritishCelt_6DRIF23 @ 26,628696
15 BA_Steppe_I0423 @ 29,810796
16 IA_EastGermanic_Kow55 @ 29,998857
17 BA_EastGermany_I0803 @ 31,214696
18 EMA_Northumbrian_NO3423 @ 31,568477
19 BA_Ireland_Rathlin1 @ 31,580424
20 BA_Cuiavia_PLN17 @ 31,8532
96 iterations.

Using 2 populations approximation:
1 IA_Celto-German_3DRIF16+BA_Armenia_I1656 @ 8,29277
2 EMA_AngloSaxon_HS1+LBA_Hungary_BR2 @ 8,906688
3 LBA_Hungary_BR2+BA_Steppe_RISE505 @ 8,954369
4 EMA_AngloSaxon_HS2+LBA_Hungary_BR2 @ 9,097367
5 LBA_Hungary_BR2+BA_Steppe_I0232 @ 9,149858
6 LBA_Hungary_BR2+IA_Scythian_I0247 @ 9,220735
7 IA_Sarmatian_I0575+LBA_Hungary_BR2 @ 9,695631
8 IA_CelticBriton_HI1+BA_Armenia_I1656 @ 9,78336
9 LBA_Hungary_BR2+BA_Steppe_RISE500 @ 10,29294
10 IA_GaelicCelt_6DRIF18+IA_Iran_F38 @ 10,497938
11 IA_PictishBrit_6DRIF21+LBA_Armenia_RISE397 @ 10,507137
12 LBA_Hungary_BR2+BA_Armenia_I1656 @ 10,545449
13 IA_GaelicCelt_6DRIF18+LMA_Iran_I1955 @ 10,564755
14 IA_GaelicCelt_6DRIF18+BA_Armenia_I1633 @ 10,643849
15 IA_GaulishCelt_6DRIF22+IA_Iran_F38 @ 10,64946
16 IA_GaelicCelt_6DRIF18+CA_Iran_I1661a @ 10,692533
17 BA_Czechia_RISE577+BA_Armenia_I1656 @ 10,698765
18 LBA_Armenia_RISE397+EMA_Balto-Slav_Niem34 @ 10,703316
19 BA_Hungary_BR1+LMA_Iran_I1955 @ 10,705589
20 LBA_Armenia_RISE397+BA_Steppe_RISE505 @ 10,707807
4656 iterations.

Using 3 populations approximation:
1 50% IA_CelticBriton_HI1 +25% CA_MarmaraSea_I1584 +25% BA_Steppe_RISE505 @ 4,717619
2 50% BA_Silesia_RISE150 +25% CA_MarmaraSea_I1584 +25% BA_Steppe_RISE505 @ 4,755986
3 50% IA_CelticBriton_HI1 +25% CA_MarmaraSea_I1584 +25% BA_Steppe_I0232 @ 4,763542
4 50% IA_CelticBriton_HI1 +25% IA_EastGermanic_Kow45 +25% CA_MarmaraSea_I1584 @ 5,090919
5 50% IA_Celto-German_3DRIF16 +25% BA_Czechia_RISE577 +25% CA_Iran_I1661a @ 5,097719
6 50% BA_Czechia_RISE577 +25% CA_MarmaraSea_I1584 +25% BA_Steppe_RISE505 @ 5,132312
7 50% BA_Hungary_BR1 +25% CA_MarmaraSea_I1584 +25% BA_Steppe_RISE505 @ 5,17794
8 50% IA_Celto-German_3DRIF16 +25% BA_Czechia_RISE577 +25% CA_Iran_I1674 @ 5,179366
9 50% IA_Celto-German_3DRIF16 +25% LBA_Hungary_BR2 +25% CA_Iran_I1661a @ 5,210606
10 50% BA_Silesia_RISE150 +25% CA_MarmaraSea_I1584 +25% IA_Scythian_I0247 @ 5,220106
11 50% BA_Czechia_RISE577 +25% EMA_AngloSaxon_HS1 +25% CA_Iran_I1661a @ 5,246751
12 50% IA_Celto-German_3DRIF16 +25% BA_Czechia_RISE577 +25% CA_Iran_I1665b @ 5,247338
13 50% IA_Celto-German_3DRIF16 +25% BA_Czechia_RISE577 +25% CA_Iran_I1665a @ 5,247744
14 50% IA_CelticBriton_HI1 +25% LBA_Hungary_BR2 +25% CA_Iran_I1661a @ 5,262885
15 50% LBA_Hungary_BR2 +25% EMA_AngloSaxon_HS1 +25% CA_Iran_I1661a @ 5,266961
16 50% IA_CelticBriton_HI1 +25% CA_MarmaraSea_I1584 +25% IA_Scythian_I0247 @ 5,281064
17 50% IA_Celto-German_3DRIF16 +25% LBA_Hungary_BR2 +25% CA_Iran_I1674 @ 5,294231
18 50% BA_Czechia_RISE577 +25% CA_MarmaraSea_I1584 +25% IA_Scythian_I0247 @ 5,313894
19 50% BA_Czechia_RISE577 +25% EMA_AngloSaxon_HS1 +25% CA_Iran_I1674 @ 5,317056
20 50% BA_Hungary_BR1 +25% EMA_AngloSaxon_HS1 +25% CA_Iran_I1661a @ 5,325502
442320 iterations.

Using 4 populations approximation:
1 IA_CelticBriton_HI1+LBA_Denmark_RISE276+CA_Marmara Sea_I1584+BA_Steppe_RISE505 @ 4,403985
2 IA_CelticBriton_HI1+BA_Czechia_RISE577+CA_MarmaraS ea_I1584+BA_Steppe_RISE505 @ 4,543079
3 LBA_Denmark_RISE276+BA_Czechia_RISE577+CA_MarmaraS ea_I1584+BA_Steppe_RISE505 @ 4,577908
4 IA_CelticBriton_HI1+BA_Hungary_BR1+CA_MarmaraSea_I 1584+BA_Steppe_RISE505 @ 4,581459
5 IA_CelticBriton_HI1+BA_Silesia_RISE150+CA_MarmaraS ea_I1584+BA_Steppe_RISE505 @ 4,62898
6 IA_CelticBriton_HI1+LBA_Hungary_BR2+CA_MarmaraSea_ I1584+BA_Steppe_RISE505 @ 4,652457
7 IA_EastGermanic_Mas5+BA_Czechia_RISE577+CA_Marmara Sea_I1584+BA_Steppe_RISE505 @ 4,663747
8 BA_Hungary_BR1+BA_Czechia_RISE577+CA_MarmaraSea_I1 584+BA_Steppe_RISE505 @ 4,668704
9 BA_Silesia_RISE150+BA_Czechia_RISE577+CA_MarmaraSe a_I1584+BA_Steppe_RISE505 @ 4,68342
10 IA_CelticBriton_HI4+BA_Czechia_RISE577+CA_MarmaraS ea_I1584+BA_Steppe_RISE505 @ 4,694126
11 IA_CelticBriton_HI1+IA_CelticBriton_HI1+CA_Marmara Sea_I1584+BA_Steppe_RISE505 @ 4,717619
12 LBA_Denmark_RISE276+BA_Silesia_RISE150+CA_MarmaraS ea_I1584+BA_Steppe_RISE505 @ 4,7289
13 IA_CelticBriton_HI4+BA_Silesia_RISE150+CA_MarmaraS ea_I1584+BA_Steppe_RISE505 @ 4,738322
14 BA_Hungary_BR1+BA_Silesia_RISE150+CA_MarmaraSea_I1 584+BA_Steppe_RISE505 @ 4,742924
15 BA_Silesia_RISE150+BA_Czechia_RISE586+CA_MarmaraSe a_I1584+BA_Steppe_RISE505 @ 4,752555
16 IA_GaulishCelt_6DRIF22+BA_Czechia_RISE577+CA_Marma raSea_I1584+BA_Steppe_RISE505 @ 4,753715
17 BA_Silesia_RISE150+BA_Silesia_RISE150+CA_MarmaraSe a_I1584+BA_Steppe_RISE505 @ 4,755986
18 IA_CelticBriton_HI1+EMA_AngloSaxon_HS1+LBA_Hungary _BR2+CA_Iran_I1661a @ 4,757507
19 IA_CelticBriton_HI1+IA_Celto-German_3DRIF16+CA_MarmaraSea_I1584+BA_Steppe_RISE5 05 @ 4,761952
20 IA_CelticBriton_HI1+IA_CelticBriton_HI1+CA_Marmara Sea_I1584+BA_Steppe_I0232 @ 4,763542
21 IA_Celto-German_3DRIF16+BA_Silesia_RISE150+CA_MarmaraSea_I1 584+BA_Steppe_RISE505 @ 4,77575
22 IA_CelticBriton_HI4+BA_Hungary_BR1+CA_MarmaraSea_I 1584+BA_Steppe_RISE505 @ 4,781748
23 IA_Celto-German_6DRIF3+BA_Czechia_RISE577+CA_MarmaraSea_I15 84+BA_Steppe_RISE505 @ 4,788596
24 IA_CelticBriton_HI1+EMA_AngloSaxon_HS1+BA_Hungary_ BR1+CA_Iran_I1661a @ 4,796838
25 IA_CelticBriton_HI1+IA_Celto-German_3DRIF16+CA_MarmaraSea_I1584+BA_Steppe_I0232 @ 4,803825
26 IA_GaulishCelt_6DRIF22+LBA_Denmark_RISE276+CA_Marm araSea_I1584+BA_Steppe_RISE505 @ 4,805036
27 EMA_AngloSaxon_HS2+BA_Silesia_RISE150+CA_MarmaraSe a_I1584+BA_Steppe_RISE505 @ 4,816054
28 BA_Silesia_RISE150+BA_EastGermany_I0803+CA_Marmara Sea_I1584+BA_Steppe_RISE505 @ 4,82239
29 IA_CelticBriton_HI4+LBA_Denmark_RISE276+CA_Marmara Sea_I1584+BA_Steppe_RISE505 @ 4,827293
30 EMA_AngloSaxon_HS2+LBA_Hungary_BR2+CA_MarmaraSea_I 1584+BA_Steppe_RISE505 @ 4,827787
31 EMA_AngloSaxon_HS1+BA_Silesia_RISE150+CA_MarmaraSe a_I1584+BA_Steppe_RISE505 @ 4,82973
32 EMA_Northumbrian_NO3423+BA_Hungary_BR1+CA_MarmaraS ea_I1584+BA_Steppe_RISE505 @ 4,839668
33 IA_CelticBriton_HI1+CA_MarmaraSea_I1584+BA_Steppe_ RISE505+BA_Steppe_RISE395 @ 4,840476
34 LBA_Hungary_BR2+BA_Silesia_RISE150+CA_MarmaraSea_I 1584+BA_Steppe_RISE505 @ 4,843036
35 IA_CelticBriton_HI1+EMA_AngloSaxon_HS1+LBA_Hungary _BR2+CA_Iran_I1674 @ 4,847189
36 LBA_Hungary_BR2+BA_Czechia_RISE586+CA_MarmaraSea_I 1584+BA_Steppe_RISE505 @ 4,853377
37 IA_GaelicCelt_6DRIF18+LBA_Denmark_RISE276+CA_Marma raSea_I1584+BA_Steppe_RISE505 @ 4,854637
38 IA_CelticBriton_HI1+EMA_AngloSaxon_HS1+CA_MarmaraS ea_I1584+BA_Steppe_RISE505 @ 4,865645
39 IA_CelticBriton_HI1+EMA_AngloSaxon_HS1+CA_MarmaraS ea_I1584+BA_Steppe_I0232 @ 4,865846
40 EMA_AngloSaxon_HS2+BA_Czechia_RISE577+CA_MarmaraSe a_I1584+BA_Steppe_RISE505 @ 4,865941
3365466 iterations.


It's the same for me. My results are similar to RN97's as far as Mongoloid stuff goes..on some calculators I get high for a European and some none at all (but it could be blending in with Uralic or Fennoscandian).

Maybe K36 Volga-Ural or Fennoscandian etc. components are "hiding" some Mongoloid genes.

[RN97]

Feiichy suggested these :)
MDLP K16 Modern Admixture Proportions

# Population Percent
1 Neolithic 28.3
2 Caucasian 24.41
3 NorthEastEuropean 23.89
4 Steppe 18.06
5 NearEast 1.13
6 Siberian 1.12
7 Indian 1.12
8 NorthAfrican 0.79
9 Arctic 0.63
10 Amerindian 0.56

Single Population Sharing:

# Population (source) Distance
1 French 3.97
2 Croat 4.13
3 Bosnian 4.2
4 French 4.21
5 German 4.25
6 Croat 4.3
7 Austrian 4.7
8 Slovenian 4.74
9 German 4.76
10 Serbian 4.81
11 Serbian 4.87
12 Welsh 5.14
13 Moldavian 5.19
14 Romanian 5.43
15 German_Lipsian 5.44
16 Montenegrian 5.57
17 Hungarian 6.23
18 German 6.43
19 Provencal 6.49
20 Dutch 6.65

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.6% Serbian + 39.4% French @ 1.25
2 53.3% Italian + 46.7% Pole @ 1.37
3 67.5% Serbian + 32.5% English @ 1.4
4 53.9% Italian + 46.1% Belarusian @ 1.41
5 53.4% Bosnian + 46.6% German @ 1.42
6 61.4% Serbian + 38.6% Scottish @ 1.42
7 54.7% Ukrainian + 45.3% Italian @ 1.42
8 52.8% Croat + 47.2% German @ 1.43
9 71.8% German_Lipsian + 28.2% Italian @ 1.48

[RN97]

Eurasia K9 ASI Admixture Proportions

# Population Percent
1 WHG 38.1
2 Early_Neolithic_Farmers 23.28
3 Caucausus_Hunter_Gatherer 14.38
4 SW_Asian 11.67
5 Eastern_Hunter_Gatherer 10.91
6 Siberian_E_Asian 1.38
7 Ancestral_South_Indian 0.29

Single Population Sharing:

# Population (source) Distance
1 Croatian 3.4
2 French 5.6
3 Hungarian 6.39
4 Bulgarian 7.09
5 Spanish 9.03
6 English 9.7
7 Scottish 10.19
8 Czech 11.19
9 French_South 11.2
10 Ukrainian 12.67
11 Norwegian 13.3
12 Albanian 13.79
13 Tuscan 14.49
14 Icelandic 14.98
15 Greek 15.76
16 Belarusian 17.06
17 Russian 19.16
18 RISE_baBb 19.62
19 Sicilian 20.63
20 Tatars 20.88

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.6% Croatian + 9.4% Turkish @ 1.06
2 92.4% Croatian + 7.6% Lebanese @ 1.1
3 92.6% Croatian + 7.4% Druze @ 1.12
4 93.1% Croatian + 6.9% Iraqi_Jew @ 1.13
5 93.2% Croatian + 6.8% Iranian_Jew @ 1.14

[RN97]

Any other good calculators to try?

[Jana]

Very interesting, you are west-central European genetically as expected. PS don't take Gedrosia Oracle seriously, they are highly southeastern shifted (Brits get Hungarian on that calculator).

[Dick]

Nice results. What's up with the Asian and other noise then on 23andme

[Dick]

I heard from here that it had something to do with a war. He was a soldier, not a immigrant.

Waffen SS? :lol:

[Peterski]

Nice results. What's up with the Asian and other noise then on 23andme

Many Romanians get some Asian. Northern Norwegians also can get it.

On Eurogenes K36 I guess that either "Volga-Ural" or "Fennoscandian" (or maybe some other) components might be hiding these small amounts of Asian or Asian-like genes.

BTW you should try DNA.Land: https://dna.land

[RN97]

Many Romanians get some Asian. Northern Norwegians also can get it. On K36 I guess that "Volga-Ural" or "Fennoscandian" (or some other) components might be hiding these small amounts of Asian or Asian-like genes.

BTW you should try DNA.Land: https://dna.land

I've done that. Wegene, myheritage and DNAland are all pending.

[RN97]

Waffen SS? :lol:

IDK, ain't it from WW1 rather? IDK really, it's just what I was told.

[Cristiano viejo]

18 Spanish_Castilla_Y_Leon 15.52

Congratulations, curly boy.

[Erronkari]

Nice results!!! Try Dodecad World9.

[RN97]

Nice results!!! Try Dodecad World9.
World9 Oracle results:


# Population Percent
1 Atlantic_Baltic 63.26
2 Southern 17.16
3 Caucasus_Gedrosia 16.41
4 Siberian 1.66
5 South_Asian 1.26
6 Amerindian 0.24

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 5.71
2 French (HGDP) 7.72
3 French (Dodecad) 8.84
4 Bulgarians (Yunusbayev) 10.43
5 Mixed_Germanic (Dodecad) 10.99
6 N_Italian (Dodecad) 11.28
7 Bulgarian (Dodecad) 11.61
8 Cataluna (1000 Genomes) 11.64
9 Dutch (Dodecad) 11.78
10 Romanians (Behar) 12.12
11 German (Dodecad) 12.4
12 Baleares (1000 Genomes) 12.57
13 Spaniards (Behar) 12.72
14 North_Italian (HGDP) 12.81
15 Valencia (1000 Genomes) 12.99
16 CEU30 (1000Genomes) 13.03
17 Ukranians (Yunusbayev) 13.07
18 Cornwall (1000 Genomes) 13.33
19 Extremadura (1000 Genomes) 13.35
20 Spanish (Dodecad) 13.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.2% Swedish (Dodecad) + 22.8% Samaritians (Behar) @ 0.9
2 58.4% Ukranians (Yunusbayev) + 41.6% TSI30 (Metspalu) @ 0.95
3 92.2% Hungarians (Behar) + 7.8% Samaritians (Behar) @ 0.96
4 59.4% Ukranians (Yunusbayev) + 40.6% Tuscan (HGDP) @ 0.97
5 85% Hungarians (Behar) + 15% Ashkenazy_Jews @ 0.98
6 85.6% Hungarians (Behar) + 14.4% S_Italian (Dodecad) @ 0.99
7 87.9% Hungarians (Behar) + 12.1% Sephardic_Jews (Behar) @ 0.99
8 85.7% Hungarians (Behar) + 14.3% Ashkenazi (Dodecad) @ 1
9 58.7% Swedish (Dodecad) + 41.3% Greek (Dodecad) @ 1.02
10 85.4% Hungarians (Behar) + 14.6% S_Italian_Sicilian (Dodecad) @ 1.03
11 92.5% Hungarians (Behar) + 7.5% Saudis (Behar) @ 1.03
12 92.8% Hungarians (Behar) + 7.2% Yemen_Jews (Behar) @ 1.04
13 85.2% Hungarians (Behar) + 14.8% Sicilian (Dodecad) @ 1.05
14 83.2% Hungarians (Behar) + 16.8% Greek (Dodecad) @ 1.05
15 57.6% Belorussian (Behar) + 42.4% C_Italian (Dodecad) @ 1.08
16 71.4% Swedish (Dodecad) + 28.6% Cypriots (Behar) @ 1.09
17 89.8% Hungarians (Behar) + 10.2% Cypriots (Behar) @ 1.1
18 67.4% Polish (Dodecad) + 32.6% Ashkenazi (Dodecad) @ 1.11
19 71.6% Polish (Dodecad) + 28.4% Sephardic_Jews (Behar) @ 1.13
20 68.3% Hungarians (Behar) + 31.7% Romanians (Behar) @ 1.13

[Grace O'Malley]

Very interesting results. You're half-Norwegian, half-Romanian and you don't really cluster with any of them. You cluster better with Germanic people from Central Europe, which kinda makes sense.

That's what happens when you are a mixture. You will cluster somewhere in the middle of both ancestral pops.

[Peterski]

RN97, here is your Eurogenes K36 Admix-4 Oracle:

Least-squares method.

Using 1 population approximation:
1 German_West @ 10,817941
2 SE_England @ 11,519301
3 South_Germany @ 11,557076
4 German_North @ 11,941307
5 British_mixed @ 12,358361
6 South_Dutch @ 12,461829
7 NW-England @ 12,520586
8 Swiss_German @ 12,626684
9 Belgium @ 12,681363
10 Central_Dutch @ 12,861929
11 Scotland @ 12,948343
12 France_NorthWest @ 13,262655
13 England_Cumberland @ 13,332403
14 Welsh @ 13,381667
15 Orcadian @ 13,429118
16 NE-England @ 13,771343
17 Northern_Ireland @ 14,01265
18 Ireland @ 14,036036
19 France_NorthEast @ 14,086642
20 Denmark @ 14,13474
335 iterations.

Using 2 populations approximation:
1 Romania_Central+SW-England @ 7,902873
2 Romania_Central+Northern_Ireland @ 8,113677
3 Romania_Central+Scotland @ 8,218873
4 Romania_Central+NE-England @ 8,224303
5 Romania_Central+British_mixed @ 8,298905
6 Romania_Central+Welsh @ 8,63
7 Romania_Central+England_Cumberland @ 8,639755
8 Romania_Central+NW-England @ 8,77816
9 IT_Friuli+Norway @ 8,925654
10 Romania_Central+Central_Dutch @ 8,98031
11 Romania_Central+Ireland @ 9,010183
12 Romania_Central+Orcadian @ 9,057806
13 Romania_Central+North_Dutch @ 9,114817
14 Romania_Central+SE_England @ 9,195098
15 IT_Friuli+North_Dutch @ 9,230871
16 GR_Central+North_Dutch @ 9,235094
17 GR_Central+Norway @ 9,272839
18 IT_Veneto+Norway @ 9,363602
19 IT_Marche+Norway @ 9,368334
20 IT_Friuli+Denmark @ 9,443558
56280 iterations.

Using 3 populations approximation:
1 50% British_mixed +25% GR_Central +25% Norway @ 7,159788
2 50% Norway +25% GR_Central +25% FR_Bretagne @ 7,20748
3 50% Norway +25% GR_Ikaria +25% FR_Bretagne @ 7,316677
4 50% Norway +25% Gr_Andros +25% FR_Bretagne @ 7,317147
5 50% British_mixed +25% GR_Ikaria +25% Norway @ 7,33381
6 50% British_mixed +25% GR_Central +25% Denmark @ 7,347019
7 50% Denmark +25% GR_Central +25% FR_Bretagne @ 7,355186
8 50% England_Cumberland +25% GR_Central +25% Norway @ 7,362034
9 50% Scotland +25% GR_Central +25% Norway @ 7,374576
10 50% Norway +25% GR_Central +25% England_Cumberland @ 7,374798
11 50% Norway +25% GR_Central +25% France_NorthWest @ 7,381753
12 50% Norway +25% GR_Ikaria +25% Northern_Ireland @ 7,381791
13 50% Norway +25% GR_Central +25% SW-England @ 7,386086
14 50% Norway +25% GR_Ikaria +25% England_Cumberland @ 7,400226
15 50% Norway +25% Gr_Andros +25% England_Cumberland @ 7,428673
16 50% British_mixed +25% GR_Central +25% Sweden @ 7,434662
17 50% Norway +25% Gr_Andros +25% Northern_Ireland @ 7,436341
18 50% Denmark +25% GR_Central +25% SW-England @ 7,438838
19 50% Northern_Ireland +25% GR_Central +25% Norway @ 7,441229
20 50% Norway +25% GR_Ikaria +25% SW-England @ 7,44289
11801364 iterations.

Using 4 populations approximation:
1 GR_Central+British_mixed+British_mixed+Norway @ 7,159788
2 GR_Central+SE_England+Norway+SW-England @ 7,192087
3 GR_Central+British_mixed+Norway+England_Cumberland @ 7,203816
4 GR_Central+FR_Bretagne+Norway+Norway @ 7,20748
5 GR_Central+FR_Bretagne+Denmark+Norway @ 7,209597
6 GR_Central+British_mixed+Norway+SW-England @ 7,218964
7 GR_Central+Romania_Central+North_Dutch+SW-England @ 7,222072
8 GR_Central+Scotland+British_mixed+Norway @ 7,241958
9 GR_Central+Central_Dutch+Norway+SW-England @ 7,252458
10 GR_Central+Northern_Ireland+SE_England+Norway @ 7,258517
11 GR_Central+British_mixed+SE_England+Norway @ 7,258956
12 GR_Central+Northern_Ireland+British_mixed+Norway @ 7,259349
13 GR_Central+FR_Bretagne+Central_Dutch+Norway @ 7,272331
14 GR_Central+Scotland+Norway+England_Cumberland @ 7,272662
15 GR_Central+British_mixed+Norway+NW-England @ 7,280092
16 GR_Central+Scotland+Norway+SW-England @ 7,291017
17 GR_Central+SE_England+Norway+England_Cumberland @ 7,29369
18 GR_Central+FR_Bretagne+North_Dutch+Norway @ 7,295918
19 GR_Central+Norway+SW-England+England_Cumberland @ 7,301507
20 GR_Central+British_mixed+Norway+NE-England @ 7,304055
21 GR_Ikaria+FR_Bretagne+Norway+Norway @ 7,316677
22 Gr_Andros+FR_Bretagne+Norway+Norway @ 7,317147
23 GR_Central+Orcadian+British_mixed+Norway @ 7,325413
24 GR_Central+Norway+NW-England+England_Cumberland @ 7,331844
25 GR_Central+Northern_Ireland+Norway+NW-England @ 7,33239
26 GR_Ikaria+British_mixed+British_mixed+Norway @ 7,33381
27 GR_Central+Northern_Ireland+Scotland+Norway @ 7,341153
28 GR_Central+Northern_Ireland+Norway+England_Cumberl and @ 7,341659
29 GR_Central+Denmark+Norway+SW-England @ 7,341683
30 GR_Central+Norway+NW-England+SW-England @ 7,34254
31 GR_Central+Central_Dutch+Norway+England_Cumberland @ 7,343136
32 GR_Central+British_mixed+Norway+Welsh @ 7,346221
33 GR_Central+British_mixed+British_mixed+Denmark @ 7,347019
34 GR_Central+SE_England+Norway+Welsh @ 7,349877
35 GR_Central+Central_Dutch+Northern_Ireland+Norway @ 7,350371
36 GR_Central+Northern_Ireland+Norway+SA_Coloureds @ 7,351824
37 GR_Central+FR_Bretagne+Denmark+Denmark @ 7,355186
38 GR_Central+Orcadian+SE_England+Norway @ 7,356627
39 GR_Central+German_North+Norway+SW-England @ 7,359068
40 GR_Central+Norway+England_Cumberland+England_Cumbe rland @ 7,362034
179309286 iterations.

Gaussian method.
Noise dispersion set to 0,130062

Using 1 population approximation:
1 Romania_Central @ 6,506535
2 German_West @ 7,306375
3 Hungary @ 7,383888
4 South_Germany @ 7,558076
5 NE_Romania @ 7,791655
6 Romania_SE @ 8,203151
7 Austria @ 8,297234
8 Croatian @ 8,694099
9 South_Romania @ 8,751957
10 Moldavian @ 8,81062
11 Spain_Galicia @ 8,816972
12 Belgium @ 9,024662
13 Slovenian @ 9,217899
14 Romania_NW @ 9,297994
15 Carpathian_Rusyns @ 9,379652
16 SA_Coloureds @ 9,388812
17 Swiss_German @ 9,440229
18 West_Serbian @ 9,688543
19 France @ 9,806567
20 Macedonia_FYROM @ 9,849524
335 iterations.

Using 2 populations approximation:
1 Romania_Central+SW-England @ 4,676893
2 Romania_Central+SE_England @ 4,726055
3 Romania_Central+British_mixed @ 4,810386
4 Romania_Central+Northern_Ireland @ 4,812833
5 Romania_Central+Scotland @ 4,82615
6 Romania_Central+North_Dutch @ 4,830401
7 Romania_Central+Ireland @ 4,840443
8 Romania_Central+Central_Dutch @ 4,856695
9 Romania_Central+NW-England @ 4,858193
10 Romania_Central+Denmark @ 4,858196
11 Romania_Central+NE-England @ 4,885707
12 Romania_Central+Belgium @ 4,887165
13 Romania_Central+Orcadian @ 4,897518
14 Romania_Central+Welsh @ 4,922816
15 Romania_Central+England_Cumberland @ 4,931204
16 Romania_Central+France_NorthWest @ 4,959765
17 Romania_Central+Norway @ 5,011424
18 Romania_Central+FR_Bretagne @ 5,075518
19 Romania_Central+South_Dutch @ 5,088754
20 Romania_Central+German_North @ 5,098097
56280 iterations.

Using 3 populations approximation:
1 50% Romania_Central +25% SE_England +25% SW-England @ 4,658164
2 50% Romania_Central +25% SW-England +25% SW-England @ 4,676893
3 50% Romania_Central +25% North_Dutch +25% SW-England @ 4,697739
4 50% Romania_Central +25% Central_Dutch +25% SW-England @ 4,707553
5 50% Romania_Central +25% Denmark +25% SW-England @ 4,716167
6 50% Romania_Central +25% SE_England +25% SE_England @ 4,726055
7 50% Romania_Central +25% British_mixed +25% SW-England @ 4,732358
8 50% Romania_Central +25% North_Dutch +25% SE_England @ 4,733052
9 50% Romania_Central +25% Northern_Ireland +25% SW-England @ 4,73748
10 50% Romania_Central +25% Scotland +25% SW-England @ 4,742523
11 50% Romania_Central +25% Northern_Ireland +25% SE_England @ 4,750403
12 50% Romania_Central +25% France_NorthWest +25% SW-England @ 4,753758
13 50% Romania_Central +25% NW-England +25% SW-England @ 4,75667
14 50% Romania_Central +25% Belgium +25% SW-England @ 4,758725
15 50% Romania_Central +25% Ireland +25% SW-England @ 4,758868
16 50% Romania_Central +25% SE_England +25% Denmark @ 4,759422
17 50% Romania_Central +25% British_mixed +25% SE_England @ 4,760888
18 50% Romania_Central +25% SW-England +25% NE-England @ 4,763987
19 50% Romania_Central +25% Ireland +25% SE_England @ 4,764616
20 50% Romania_Central +25% Scotland +25% SE_England @ 4,772376
17746960 iterations.

Using 4 populations approximation:
1 Romania_Central+Romania_Central+SE_England+SW-England @ 4,658164
2 Romania_Central+Romania_Central+SW-England+SW-England @ 4,676893
3 Romania_Central+Romania_Central+North_Dutch+SW-England @ 4,697739
4 Romania_Central+Romania_Central+Central_Dutch+SW-England @ 4,707553
5 Romania_Central+Romania_Central+Denmark+SW-England @ 4,716167
6 Romania_Central+Romania_Central+SE_England+SE_Engl and @ 4,726055
7 Romania_Central+Romania_Central+British_mixed+SW-England @ 4,732358
8 Romania_Central+Romania_Central+North_Dutch+SE_Eng land @ 4,733052
9 Romania_Central+Romania_Central+Northern_Ireland+S W-England @ 4,73748
10 Romania_Central+Romania_Central+Scotland+SW-England @ 4,742523
11 Romania_Central+Romania_Central+Northern_Ireland+S E_England @ 4,750403
12 Romania_Central+Romania_Central+France_NorthWest+S W-England @ 4,753758
13 Romania_Central+Romania_Central+NW-England+SW-England @ 4,75667
14 Romania_Central+Romania_Central+Belgium+SW-England @ 4,758725
15 Romania_Central+Romania_Central+Ireland+SW-England @ 4,758868
16 Romania_Central+Romania_Central+SE_England+Denmark @ 4,759422
17 Romania_Central+Romania_Central+British_mixed+SE_E ngland @ 4,760888
18 Romania_Central+Romania_Central+SW-England+NE-England @ 4,763987
19 Romania_Central+Romania_Central+Ireland+SE_England @ 4,764616
20 Romania_Central+Romania_Central+Scotland+SE_Englan d @ 4,772376
21 Romania_Central+Romania_Central+France_NorthWest+N orth_Dutch @ 4,775651
22 Romania_Central+Romania_Central+Central_Dutch+SE_E ngland @ 4,777301
23 Romania_Central+Romania_Central+SW-England+England_Cumberland @ 4,777467
24 Romania_Central+Romania_Central+Norway+SW-England @ 4,779699
25 Romania_Central+Romania_Central+SE_England+NW-England @ 4,781672
26 Romania_Central+Romania_Central+North_Dutch+Northe rn_Ireland @ 4,784914
27 Romania_Central+Romania_Central+Orcadian+SW-England @ 4,784946
28 Romania_Central+Romania_Central+SE_England+NE-England @ 4,785896
29 Romania_Central+Romania_Central+SW-England+Welsh @ 4,787202
30 Romania_Central+Romania_Central+North_Dutch+Britis h_mixed @ 4,787768
31 Romania_Central+Romania_Central+Belgium+SE_England @ 4,792149
32 Romania_Central+Romania_Central+North_Dutch+Irelan d @ 4,793732
33 Romania_Central+Romania_Central+Orcadian+SE_Englan d @ 4,794836
34 Romania_Central+Romania_Central+Central_Dutch+Nort hern_Ireland @ 4,798377
35 Romania_Central+Romania_Central+Belgium+North_Dutc h @ 4,802324
36 Romania_Central+Romania_Central+Central_Dutch+Irel and @ 4,804497
37 Romania_Central+Romania_Central+Central_Dutch+Brit ish_mixed @ 4,807033
38 Romania_Central+Romania_Central+Northern_Ireland+B ritish_mixed @ 4,807447
39 Romania_Central+Romania_Central+France_Central+Nor th_Dutch @ 4,807778
40 Romania_Central+Romania_Central+France_NorthWest+D enmark @ 4,807885
533766997 iterations.

[Peterski]

Our K36 Oracle once again proves its superiority! :)

Just look at this amazing accuracy:

Least-squares:

Using 1 population approximation:
1 German_West @ 10,817941

Using 2 populations approximation:
1 Romania_Central+SW-England @ 7,902873

Using 4 populations approximation:
1 GR_Central+British_mixed+British_mixed+Norway @ 7,159788

Gaussian:

Using 1 population approximation:
1 Romania_Central @ 6,506535

Using 2 populations approximation:
1 Romania_Central+SW-England @ 4,676893

Using 4 populations approximation:
(...)
3 Romania_Central+Romania_Central+North_Dutch+SW-England @ 4,697739

====================

Generally 50% Central Romania + 50% North-Western Europe is what you get.

Is your mother's side really from Central Romania, or another region?

[Peterski]

Very interesting results. You're half-Norwegian, half-Romanian and you don't really cluster with any of them. You cluster better with Germanic people from Central Europe, which kinda makes sense.

Our K36 Oracle perfectly detected his Romanian ancestry, and its amount (1/2).

Which proves that this K36 Oracle is superior to all those other Oracles. :)

[RN97]

Our K36 Oracle once again proves its superiority! :)

Just look at this amazing accuracy:

Least-squares:

Using 1 population approximation:
1 German_West @ 10,817941

Using 2 populations approximation:
1 Romania_Central+SW-England @ 7,902873

Using 4 populations approximation:
1 GR_Central+British_mixed+British_mixed+Norway @ 7,159788

Gaussian:

Using 1 population approximation:
1 Romania_Central @ 6,506535

Using 2 populations approximation:
1 Romania_Central+SW-England @ 4,676893

Using 4 populations approximation:
(...)
3 Romania_Central+Romania_Central+North_Dutch+SW-England @ 4,697739

====================

Generally 50% Central Romania + 50% North-Western Europe is what you get.

Is your mother's side really from Central Romania, or another region?

From Lunca corbului originally so that's not quite accurate, but not all from there is genetically identical. My mom is much fairer than average there.
http://i.imgur.com/InV50Mm.png

[Peterski]

So more like South-Central Romania, but still pretty close.

[XenophobicPrussian]

If you're curious, based on the numbers inbetween German and Austrian in Basal Rich K7, your total mesolithic/paleo European HG ancestry is probably around 55.36%, and 64% if we count the WHG component in ANE. Your ANE is 15.87%, 8% ANE non-WHG related admixture. Basal Eurasian is 28.52%.

If you wanted your actual results and not an estimate you'd have to pay Eurogenes unfortunately. It's the calc that goes the most far back so I thought you might find it interesting.

[RN97]

If you're curious, based on the numbers inbetween German and Austrian in Basal Rich K7, your total mesolithic/paleo European HG ancestry is probably around 55.36%, and 64% if we count the WHG component in ANE. Your ANE is 15.87%, 8% ANE non-WHG related admixture. Basal Eurasian is 28.52%.

If you wanted your actual results and not an estimate you'd have to pay Eurogenes unfortunately. It's the calc that goes the most far back so I thought you might find it interesting.

Where can I buy that and how much would it cost?

[Jana]

Please try Gedrosia K3 run. It will give you very basic divison of your ancestry between SSA, west (caucasoid) and east (mongoloid) Eurasian :)
So far your 23and me east asian didn't really show in gedmatch, that why I'm curious.

[RN97]

Please try Gedrosia K3 run. It will give you very basic divison of your ancestry between SSA, west (caucasoid) and east (mongoloid) Eurasian :)
So far your 23and me east asian didn't really show in gedmatch, that why I'm curious.

I don't think that's so accurate
Population
E_Eurasian 3.97
SSA 0.82
W_Eurasian 95.21

[Jana]

I don't think that's so accurate
Population
E_Eurasian 3.97
SSA 0.82
W_Eurasian 95.21

Your east eurasian isn't out of norm, I score close to 3%. (usual for eastern part of Europe) I expected you will get around 5% or more with such 23andme data.
SSA may be real, but it is really small so we can't really know.

You don't seem to have more mongoloid admixture than average, like Seya does for example.

[RN97]

Your east eurasian isn't out of norm, I socre close to 3%. (usual for eastern part of Europe) I expected you will get around 5% or more with such 23andme data.
SSA may be real, but it is really small so we can't really know.

You don't seem to have more mongoloid admixture than average, like Seya does for example.

But SSA from where tho? Probably rather south Asian interpreted as SSA.

[Zmey Gorynych]

I expected you to have the genetic make up of an austrian you seem to be closer to the western german average.

[Peterski]

I don't think that's so accurate
Population
E_Eurasian 3.97
SSA 0.82
W_Eurasian 95.21

Compare with other people here:

http://www.theapricity.com/forum/showthread.php?197042-Post-your-Gedrosia-K3-results&p=4103151&viewfull=1#post4103151

================

By the way, since Gedrosia K3 doesn't have "Australoid", this is what Australian Aborigine gets:

Admix Results (sorted):

# Population Percent
1 E_Eurasian 66.49
2 W_Eurasian 21.54
3 SSA 11.97

But Oracle is pretty accurate, it gives him Australoid / Negritoid (ASE-descended) populations:

Finished reading population data. 129 populations found.
3 components mode.

Least-squares method.

Using 1 population approximation:
1 Great_Andamanese @ 9.347932
2 Onge @ 9.697618
3 Kharia @ 10.112145
4 Birhor @ 10.196522
5 Bhumij @ 10.817683
6 Paniyas @ 13.703825
7 Altaian @ 14.928535
8 Gond @ 15.069019
9 Kyrgyz @ 15.099876
10 Nihali @ 19.136213
11 Yukagir @ 20.452866
12 Yukagir @ 20.452866
13 Kattunayakkan @ 20.907804
14 Sherpa @ 24.519413
15 Irula @ 25.165117
16 Hazara @ 26.034424
17 Madiga @ 29.660011
18 Thai @ 30.312344
19 Changapa @ 31.106314
20 Hallkipiki @ 31.229984

Paniyas are one of aboriginal tribal populations of South India, IIRC:

Using 2 populations approximation:
1 50% Onge +50% Paniyas @ 7.309495
2 50% Bhumij +50% Onge @ 8.116324
3 50% Gond +50% Onge @ 8.352816
4 50% Great_Andamanese +50% Onge @ 8.461292
5 50% Birhor +50% Onge @ 8.511601
6 50% Kharia +50% Onge @ 8.915203
7 50% Nihali +50% Onge @ 8.955352
8 50% Great_Andamanese +50% Great_Andamanese @ 9.347932
9 50% Kattunayakkan +50% Onge @ 9.374878
10 50% Onge +50% Onge @ 9.697618
11 50% Great_Andamanese +50% Kharia @ 9.726807
12 50% Birhor +50% Great_Andamanese @ 9.750111
13 50% Bhumij +50% Great_Andamanese @ 9.916514
14 50% Birhor +50% Kharia @ 10.110303
15 50% Kharia +50% Kharia @ 10.112145
16 50% Birhor +50% Birhor @ 10.196522
17 50% Bhumij +50% Kharia @ 10.239260
18 50% Kyrgyz +50% Onge @ 10.368713
19 50% Bhumij +50% Birhor @ 10.437760
20 50% Great_Andamanese +50% Paniyas @ 10.477298

Using 3 populations approximation:
1 50% Changapa +25% Ethiopian_Jew +25% Yukagir @ 1.041225

[Not a Cop]

What's your ANE K7 (Eurogenes).

[RN97]

What's your ANE K7 (Eurogenes).


Population
ANE 15.06
ASE 2.44
WHG-UHG 55.63
East_Eurasian 0.20
West_African -
East_African 0.68
ENF 25.99

[Leto]

RN97, try Gedrosia K6, please.

Your east eurasian isn't out of norm, I score close to 3%. (usual for eastern part of Europe) I expected you will get around 5% or more with such 23andme data.
SSA may be real, but it is really small so we can't really know.

You don't seem to have more mongoloid admixture than average, like Seya does for example.
I score around 8% on K3.

[Leto]

But SSA from where tho? Probably rather south Asian interpreted as SSA.
Bro, less than 1% is nothing. Just noise.

[RN97]

RN97, try Gedrosia K6, please.

I score around 8% on K3.


# Population Percent
1 West_European_Hunter_Gartherer 41.87
2 Natufian 37.18
3 Ancestral_North_Eurasian 17.43
4 East_Asian 2.08
5 Sub_Saharan 1.44

Single Population Sharing:

# Population (source) Distance
1 Hungarian 2.19
2 Croatian 3.19
3 French 3.47
4 Czech 4.27
5 English 4.46
6 Ukrainian 5.3
7 Scottish 5.42
8 Norwegian 6.2
9 Romanian 6.31
10 Spanish 6.42
11 Icelandic 7.88
12 Bulgarian 8.01
13 Europe_LNBA 8.84
14 Basque 10
15 Estonian 10.87
16 Lithuanian 11.69
17 Russian 12.02
18 Albanian 12.78
19 Finnish 12.94
20 Steppe_MLBA 14.18

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 94.5% Hungarian + 5.5% Algerian @ 1.04
2 95.1% Hungarian + 4.9% Saharawi @ 1.06
3 95% Hungarian + 5% Moroccan @ 1.11
4 95% Hungarian + 5% Libyan @ 1.21
5 97.6% Hungarian + 2.4% Somali @ 1.33
6 95.3% Hungarian + 4.7% Egyptian @ 1.36
7 95.9% Hungarian + 4.1% Yemeni @ 1.44
8 89.5% Czech + 10.5% Libyan @ 1.45
9 98.2% Hungarian + 1.8% Masai @ 1.47
10 68.2% Lithuanian + 31.8% Jew_Libyan @ 1.48
11 76.8% Lithuanian + 23.2% Levant_BA @ 1.54
12 98.5% Hungarian + 1.5% Hadza @ 1.55
13 89.7% Czech + 10.3% Egyptian @ 1.56
14 95.7% Hungarian + 4.3% BedouinA @ 1.57
15 69.1% Lithuanian + 30.9% Jew_Tunisian @ 1.59
16 98.8% Hungarian + 1.2% Esan @ 1.6
17 98.8% Hungarian + 1.2% Yoruba @ 1.6
18 98.7% Hungarian + 1.3% Gambian @ 1.6
19 62.4% Lithuanian + 37.6% Jew_Ashkenazi @ 1.61
20 98.6% Hungarian + 1.4% Mota @ 1.63

[RN97]

Is this calc any good/ reliable
Eurogenes JTest
# Population Percent
1 NORTH-CENTRAL_EURO 22.14
2 ATLANTIC 19.87
3 WEST_MED 12.53
4 SOUTH_BALTIC 12.37
5 EAST_EURO 10.55
6 EAST_MED 9.61
7 ASHKENAZI 6.73
8 WEST_ASIAN 4.81
9 SOUTH_ASIAN 1.09
10 SIBERIAN 0.31

Single Population Sharing:

# Population (source) Distance
1 AT 5.97
2 West_&_Central_German 8.1
3 FR 8.9
4 NL 9.24
5 Serbian 10.51
6 English 10.85
7 Cornish 11
8 HU 11.12
9 DK 12.35
10 Orcadian 12.75
11 RO 12.98
12 IE 13.42
13 PT 13.52
14 NO 13.75
15 North_Italian 13.82
16 South_&_Central_Swedish 13.95
17 Scottish 14.42
18 ES 14.98
19 North_Swedish 16.1
20 Tuscan 17.35

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.6% West_&_Central_German + 19.4% AJ @ 3.39
2 54.9% English + 45.1% RO @ 3.48
3 51.9% North_Swedish + 48.1% Tuscan @ 3.52
4 76.1% NL + 23.9% GR @ 3.56
5 69.7% DK + 30.3% GR @ 3.69
6 79.1% West_&_Central_German + 20.9% GR @ 3.76
7 55.8% South_&_Central_Swedish + 44.2% Tuscan @ 3.76
8 78.5% NL + 21.5% AJ @ 3.87
9 78.2% West_&_Central_German + 21.8% South_Italian_&_Sicilian @ 3.9
10 56.2% NO + 43.8% Tuscan @ 3.95
11 75.3% NL + 24.7% South_Italian_&_Sicilian @ 3.97
12 70.6% West_&_Central_German + 29.4% Tuscan @ 4.05
13 59.8% NL + 40.2% RO @ 4.06
14 54.1% North_Italian + 45.9% North_Swedish @ 4.07
15 51% Serbian + 49% English @ 4.19
16 67.3% NO + 32.7% GR @ 4.2
17 68.6% DK + 31.4% South_Italian_&_Sicilian @ 4.23
18 65.1% AT + 34.9% FR @ 4.24
19 80.2% AT + 19.8% Tuscan @ 4.29
20 64.1% West_&_Central_German + 35.9% RO @ 4.32

[Stears]

south asian admixture ?
As I said, Gypsy ancestry. Typical for Romanians, and they try deny it...

[Vyasa]

But SSA from where tho? Probably rather south Asian interpreted as SSA.

south asian doesn't get confused with SSA.. they're extremely different components

[Peterski]

So Teutonic+Gypsy, like this video?: ;) xD


https://www.youtube.com/watch?v=3eTGAd07v1I

[RN97]

south asian admixture ?
As I said, Gypsy ancestry. Typical for Romanians, and they try deny it...

I'm a lot more western than the average Hungarian
http://i.imgur.com/5krlOse.jpg
http://i.imgur.com/7vmItf6.jpg

The south asian likely comes from old indo-European tribes such as yamnaya.

[Stears]

I'm a lot more western than the average Hungarian
http://i.imgur.com/5krlOse.jpg
http://i.imgur.com/7vmItf6.jpg

The south asian likely comes from old indo-European tribes such as yamnaya.

Yes, it come from ancient Indo European people the GYPSIES. deal with it.

[Leto]

Yes, it come from ancient Indo European people the GYPSIES. deal with it.
You can easily score 1-2% South Asian as well... The guy is as white as your average Central European.

[Light]

The south asian likely comes from old indo-European tribes such as yamnaya.

You are most certainly correct. In this proportions it just can not be roma/gypsy ancestry. You should have to score at least 10% of south asian and 10% middle eastern to have clear roma ancestry.

Here is the proof that it can be from Yamnaya Culture.

Ex. 1 Yamnaya
Kit number M828815
On Eurogenes: 4.5% S.Asian
On MDLP: 3.34% Indian

Ex. 2 Yamnaya
Kit number: M655536
On Eurogenes: 4.66% S.Asian
On MDLP: 2.79% Indian

Ex 3 Yamnaya
Kit number: M343758
On Eurogenes: S.Asian 3.41%
On MDLP: Indian 0.34% / Indo-Iranian 3.40%
_____

Stairs, cut the crap fucktard! Transylvania was always mine! I have my genes to prove that! LOL :- )))

PS I myself do not have any % of South Asian and I am not defending anyone or anything I just want to prove that his S.A. % can be from Yamnaya (or any other cutulture that has some s. asian admixture).

[Bobby Martnen]

You are closest to Austria Tyrol in my PCA :

https://image.ibb.co/copyhv/RN97.jpg

How can I get plotted on this PCA?

[TEUTORIGOS]

If you want me to try any calculators, just suggest one and I'll do so.

Do Eurogenes EUtest and MDLP k23b and then tell us what is the most accurate for you : K13, K15, EUtest or MDLP, thanks.

[RN97]

Do Eurogenes EUtest and MDLP k23b and then tell us what is the most accurate for you : K13, K15, EUtest or MDLP, thanks.

EUtest
# Population Percent
1 NORTH-CENTRAL_EURO 22.63
2 ATLANTIC 20.84
3 WEST_MED 13.52
4 SOUTH_BALTIC 12.42
5 EAST_MED 12.14
6 EAST_EURO 10.88
7 WEST_ASIAN 5.92
8 SOUTH_ASIAN 1.28
9 SIBERIAN 0.37

Single Population Sharing:

# Population (source) Distance
1 AT 6.22
2 West_&_Central_German 8.02
3 FR 8.91
4 NL 9.26
5 Serbian 10.19
6 English 10.86
7 Cornish 11.11
8 HU 11.29
9 DK 12.72
10 RO 12.82
11 Orcadian 12.9
12 IE 13.49
13 North_Italian 13.52
14 PT 13.74
15 NO 14.19
16 South_&_Central_Swedish 14.34
17 Scottish 14.71
18 ES 15.09
19 North_Swedish 16.09
20 Tuscan 17.21

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 75.3% NL + 24.7% GR @ 2.56
2 78.2% West_&_Central_German + 21.8% GR @ 2.7
3 51.7% North_Swedish + 48.3% Tuscan @ 2.85
4 54.8% South_&_Central_Swedish + 45.2% Tuscan @ 3.21
5 54.5% English + 45.5% RO @ 3.22
6 68.7% DK + 31.3% GR @ 3.23
7 77.9% West_&_Central_German + 22.1% South_Italian_&_Sicilian @ 3.29
8 69.8% West_&_Central_German + 30.2% Tuscan @ 3.34
9 75.1% NL + 24.9% South_Italian_&_Sicilian @ 3.49
10 66.3% NO + 33.7% GR @ 3.49
11 55.1% NO + 44.9% Tuscan @ 3.53
12 84.8% NL + 15.2% Druze @ 3.69
13 54.6% North_Italian + 45.4% North_Swedish @ 3.75
14 72.6% English + 27.4% GR @ 3.76
15 59.2% NL + 40.8% RO @ 3.78
16 51.8% Serbian + 48.2% English @ 3.8
17 64.8% West_&_Central_German + 35.2% North_Italian @ 3.82
18 77.9% West_&_Central_German + 22.1% AJ @ 3.86
19 66.2% South_&_Central_Swedish + 33.8% GR @ 3.88
20 87.1% West_&_Central_German + 12.9% Druze @ 3.89
MDLP k23b
# Population Percent
1 European_Hunters_Gatherers 32.86
2 Caucasian 26.22
3 European_Early_Farmers 24.39
4 South_Central_Asian 5.85
5 Ancestral_Altaic 3.22
6 Near_East 2.49
7 North_African 1.99
8 East_Siberian 0.99
9 Arctic 0.64
10 Paleo_Siberian 0.48
11 South_East_Asian 0.44
12 Archaic_Human 0.23
13 South_Indian 0.19

Single Population Sharing:

# Population (source) Distance
1 German-Volga ( ) 3.25
2 South_German ( ) 4.54
3 Austrian ( ) 4.96
4 Italian_North ( ) 6.87
5 North_German ( ) 7.28
6 Dutch ( ) 7.57
7 Hungarian ( ) 8.6
8 Slovenian ( ) 8.83
9 Frisian ( ) 9.05
10 Belgian ( ) 9.13
11 German_East ( ) 9.56
12 Hungarian_Budapest ( ) 9.94
13 German ( ) 10.32
14 Dane ( ) 10.35
15 Irish ( ) 10.67
16 English ( ) 11.25
17 Czech ( ) 11.29
18 Swede_Saami ( ) 11.45
19 Swede ( ) 11.83
20 Serb_Serbia ( ) 12.24

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 51.7% Bulgarian ( ) + 48.3% Scottish_Argyll_Bute_GBR ( ) @ 1.12
2 60.2% English ( ) + 39.8% Bulgarian ( ) @ 1.25
3 53.6% Bulgarian ( ) + 46.4% Orcadian ( ) @ 1.26
4 90.5% South_German ( ) + 9.5% Cirkassian ( ) @ 1.38
5 58.1% Scottish_Argyll_Bute_GBR ( ) + 41.9% Gagauz ( ) @ 1.4
6 56.5% North_European ( ) + 43.5% Bulgarian ( ) @ 1.41
7 69.2% English ( ) + 30.8% Gagauz ( ) @ 1.41
8 93.3% South_German ( ) + 6.7% Kakheti ( ) @ 1.46
9 88.6% South_German ( ) + 11.4% Turk ( ) @ 1.46
10 74.1% North_European ( ) + 25.9% Crimean_Tatar_Coast ( ) @ 1.46
11 76.1% Dutch ( ) + 23.9% Ashkenazi ( ) @ 1.47
12 78.6% Dutch ( ) + 21.4% Sicilian_Center ( ) @ 1.48
13 88% South_German ( ) + 12% Turk_Istanbul ( ) @ 1.49
14 80% Dutch ( ) + 20% Italian_South ( ) @ 1.5
15 88.9% South_German ( ) + 11.1% Turk_Kayseri ( ) @ 1.5
16 92.3% South_German ( ) + 7.7% Balkar ( ) @ 1.51
17 92.2% South_German ( ) + 7.8% Adygei ( ) @ 1.51
18 93.9% South_German ( ) + 6.1% Abkhasian ( ) @ 1.51
19 74.5% Dutch ( ) + 25.5% Greek_Thessaly ( ) @ 1.51
20 91.2% South_German ( ) + 8.8% Kumyk ( ) @ 1.52

IDK which calc. is the most accurate because I there is no objective way to measure it.

[TEUTORIGOS]

EUtest
# Population Percent
1 NORTH-CENTRAL_EURO 22.63
2 ATLANTIC 20.84
3 WEST_MED 13.52
4 SOUTH_BALTIC 12.42
5 EAST_MED 12.14
6 EAST_EURO 10.88
7 WEST_ASIAN 5.92
8 SOUTH_ASIAN 1.28
9 SIBERIAN 0.37

Single Population Sharing:

# Population (source) Distance
1 AT 6.22
2 West_&_Central_German 8.02
3 FR 8.91
4 NL 9.26
5 Serbian 10.19
6 English 10.86
7 Cornish 11.11
8 HU 11.29
9 DK 12.72
10 RO 12.82
11 Orcadian 12.9
12 IE 13.49
13 North_Italian 13.52
14 PT 13.74
15 NO 14.19
16 South_&_Central_Swedish 14.34
17 Scottish 14.71
18 ES 15.09
19 North_Swedish 16.09
20 Tuscan 17.21

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 75.3% NL + 24.7% GR @ 2.56
2 78.2% West_&_Central_German + 21.8% GR @ 2.7
3 51.7% North_Swedish + 48.3% Tuscan @ 2.85
4 54.8% South_&_Central_Swedish + 45.2% Tuscan @ 3.21
5 54.5% English + 45.5% RO @ 3.22
6 68.7% DK + 31.3% GR @ 3.23
7 77.9% West_&_Central_German + 22.1% South_Italian_&_Sicilian @ 3.29
8 69.8% West_&_Central_German + 30.2% Tuscan @ 3.34
9 75.1% NL + 24.9% South_Italian_&_Sicilian @ 3.49
10 66.3% NO + 33.7% GR @ 3.49
11 55.1% NO + 44.9% Tuscan @ 3.53
12 84.8% NL + 15.2% Druze @ 3.69
13 54.6% North_Italian + 45.4% North_Swedish @ 3.75
14 72.6% English + 27.4% GR @ 3.76
15 59.2% NL + 40.8% RO @ 3.78
16 51.8% Serbian + 48.2% English @ 3.8
17 64.8% West_&_Central_German + 35.2% North_Italian @ 3.82
18 77.9% West_&_Central_German + 22.1% AJ @ 3.86
19 66.2% South_&_Central_Swedish + 33.8% GR @ 3.88
20 87.1% West_&_Central_German + 12.9% Druze @ 3.89
MDLP k23b
# Population Percent
1 European_Hunters_Gatherers 32.86
2 Caucasian 26.22
3 European_Early_Farmers 24.39
4 South_Central_Asian 5.85
5 Ancestral_Altaic 3.22
6 Near_East 2.49
7 North_African 1.99
8 East_Siberian 0.99
9 Arctic 0.64
10 Paleo_Siberian 0.48
11 South_East_Asian 0.44
12 Archaic_Human 0.23
13 South_Indian 0.19

Single Population Sharing:

# Population (source) Distance
1 German-Volga ( ) 3.25
2 South_German ( ) 4.54
3 Austrian ( ) 4.96
4 Italian_North ( ) 6.87
5 North_German ( ) 7.28
6 Dutch ( ) 7.57
7 Hungarian ( ) 8.6
8 Slovenian ( ) 8.83
9 Frisian ( ) 9.05
10 Belgian ( ) 9.13
11 German_East ( ) 9.56
12 Hungarian_Budapest ( ) 9.94
13 German ( ) 10.32
14 Dane ( ) 10.35
15 Irish ( ) 10.67
16 English ( ) 11.25
17 Czech ( ) 11.29
18 Swede_Saami ( ) 11.45
19 Swede ( ) 11.83
20 Serb_Serbia ( ) 12.24

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 51.7% Bulgarian ( ) + 48.3% Scottish_Argyll_Bute_GBR ( ) @ 1.12
2 60.2% English ( ) + 39.8% Bulgarian ( ) @ 1.25
3 53.6% Bulgarian ( ) + 46.4% Orcadian ( ) @ 1.26
4 90.5% South_German ( ) + 9.5% Cirkassian ( ) @ 1.38
5 58.1% Scottish_Argyll_Bute_GBR ( ) + 41.9% Gagauz ( ) @ 1.4
6 56.5% North_European ( ) + 43.5% Bulgarian ( ) @ 1.41
7 69.2% English ( ) + 30.8% Gagauz ( ) @ 1.41
8 93.3% South_German ( ) + 6.7% Kakheti ( ) @ 1.46
9 88.6% South_German ( ) + 11.4% Turk ( ) @ 1.46
10 74.1% North_European ( ) + 25.9% Crimean_Tatar_Coast ( ) @ 1.46
11 76.1% Dutch ( ) + 23.9% Ashkenazi ( ) @ 1.47
12 78.6% Dutch ( ) + 21.4% Sicilian_Center ( ) @ 1.48
13 88% South_German ( ) + 12% Turk_Istanbul ( ) @ 1.49
14 80% Dutch ( ) + 20% Italian_South ( ) @ 1.5
15 88.9% South_German ( ) + 11.1% Turk_Kayseri ( ) @ 1.5
16 92.3% South_German ( ) + 7.7% Balkar ( ) @ 1.51
17 92.2% South_German ( ) + 7.8% Adygei ( ) @ 1.51
18 93.9% South_German ( ) + 6.1% Abkhasian ( ) @ 1.51
19 74.5% Dutch ( ) + 25.5% Greek_Thessaly ( ) @ 1.51
20 91.2% South_German ( ) + 8.8% Kumyk ( ) @ 1.52

IDK which calc. is the most accurate because I there is no objective way to measure it.


I dunno EUtest seems most accurate, at least the single population mode, since it gives your single population with Austria where K15 doesn't plot you with Austrians. In single population mode, it seems more accurate than all of them, including the unofficial K36 Oracle. Not so sure about the 2 way Oracle.


EUtest does pick up your Romanian, though :

5 54.5% English + 45.5% RO @ 3.22

Comes close to picking up your Norwegian, too :

3 51.7% North_Swedish + 48.3% Tuscan @ 2.85
4 54.8% South_&_Central_Swedish + 45.2% Tuscan @ 3.21

etc...

[TEUTORIGOS]

I honestly don't see how Eurogenes K13 and K15 are supposed to be improvements over EUtest for Europeans. K13 is calibrated to be more accurate for people of mixed Asian and European ancestry most likely. And Eurogenes K15 is probably most accurate for people of mixed Amerindian and European ancestry. So, that leaves the unnoffical K36 Oracle and EUtest Oracle left as the contenders for the crown IMO.

Things that are new aren't always better I think people think K13 and K15 should be better than EUtest because it is newer but that is an obvious fallacy IMO.

K15 may be good for new worlders that mixed with Injuns and K13 maybe for Eastern Europeans that are so Eastern they have Asian/mongoloid genes (not sure) and for people who are a legit mix of European and Asian.

[Coastal Elite]

2. Eurogenes K13 Oracle results:
Admix Results (sorted):

# Population Percent
1 North_Atlantic 38.7
2 Baltic 21.89
3 West_Med 14.9
4 East_Med 12.86
5 West_Asian 7.6
6 South_Asian 2.15
7 Siberian 1.24
8 Sub-Saharan 0.39
9 Amerindian 0.2
10 Red_Sea 0.06

Single Population Sharing:

# Population (source) Distance
1 West_German 5.73
2 South_Dutch 7.32
3 French 7.91
4 Austrian 8.5
5 Hungarian 10.84
6 East_German 10.89
7 Serbian 11.9
8 North_German 12.32
9 Southeast_English 12.72
10 Danish 14.04
11 Spanish_Cataluna 14.07
12 Romanian 14.13
13 North_Dutch 14.39
14 Portuguese 14.6
15 Orcadian 14.64
16 Southwest_English 14.75
17 Spanish_Galicia 14.99
18 Spanish_Castilla_Y_Leon 15.52
19 Irish 15.72
20 North_Italian 15.96

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.2% Danish + 38.8% Greek_Thessaly @ 2.34
2 60.2% Orcadian + 39.8% Greek_Thessaly @ 2.55
3 81% West_German + 19% Greek_Thessaly @ 2.56
4 85.5% West_German + 14.5% Ashkenazi @ 2.6
5 66.7% Danish + 33.3% Central_Greek @ 2.73
6 76.9% West_German + 23.1% Bulgarian @ 2.74
7 73.5% West_German + 26.5% Romanian @ 2.79

Wow, your results are very similar to mine. More so than most I've seen on here.

Eurogenes K13 Oracle results:

Admix Results (sorted):

# Population Percent
1 North_Atlantic 40.75
2 Baltic 19.59
3 West_Med 15.69
4 East_Med 12.18
5 West_Asian 9.31
6 Amerindian 1.06
7 South_Asian 0.86
8 Siberian 0.46
9 Oceanian 0.11

Single Population Sharing:

# Population (source) Distance
1 West_German 5.22
2 French 6.49
3 South_Dutch 6.67
4 Austrian 10.55
5 Southeast_English 11.81
6 North_German 12.38
7 Spanish_Cataluna 12.71
8 East_German 12.94
9 Hungarian 13.46
10 Southwest_English 13.5
10 Southwest_English 13.5
11 Portuguese 13.61
12 Danish 13.82
13 Orcadian 13.89
14 North_Dutch 13.94
15 Spanish_Galicia 14.17
16 Serbian 14.25
17 Spanish_Castilla_Y_Leon 14.27
18 Irish 14.68
19 Spanish_Murcia 15.01
20 West_Scottish 15.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.7% Southeast_English + 29.3% Central_Greek @ 2.28
2 67.1% Orcadian + 32.9% Central_Greek @ 2.3
3 83.7% West_German + 16.3% Italian_Abruzzo @ 2.3
4 63.8% Orcadian + 36.2% Italian_Abruzzo @ 2.32
5 69.2% Orcadian + 30.8% South_Italian @ 2.32
6 86.9% West_German + 13.1% South_Italian @ 2.39
7 67.6% Southeast_English + 32.4% Italian_Abruzzo @ 2.47
8 79.1% Southeast_English + 20.9% Cyprian @ 2.49
9 65.3% West_Scottish + 34.7% Central_Greek @ 2.52
10 90.6% West_German + 9.4% Cyprian @ 2.53
11 91.5% West_German + 8.5% Armenian @ 2.55
12 65.9% Irish + 34.1% Central_Greek @ 2.55
13 86.1% West_German + 13.9% Central_Greek @ 2.59
14 69.2% North_Dutch + 30.8% South_Italian @ 2.6
15 91.6% West_German + 8.4% Assyrian @ 2.61
16 76.2% Orcadian + 23.8% Cyprian @ 2.63
17 68% Irish + 32% South_Italian @ 2.64
18 72.7% Southeast_English + 27.3% South_Italian @ 2.66
19 69.4% Danish + 30.6% South_Italian @ 2.66
20 88.8% West_German


Eurogenes EUtest V2 K15 Oracle results:

Admix Results (sorted):

# Population Percent
1 North_Sea 27.42
2 Atlantic 24.57
3 Baltic 11.73
4 West_Med 11.08
5 East_Med 9.32
6 West_Asian 9.11
7 Eastern_Euro 5.19
8 Amerindian 0.88
9 South_Asian 0.43
10 Siberian 0.27

Single Population Sharing:

# Population (source) Distance
1 South_Dutch 7.32
2 French 7.48
3 West_German 8.03
4 North_German 10.64
5 East_German 11.32
6 Southwest_English 11.44
7 Austrian 11.46
8 Southeast_English 11.84
9 Hungarian 12.48
10 Serbian 12.5

[RN97]

Wow, your results are very similar to mine. More so than most I've seen on here.

Eurogenes K13 Oracle results:

Admix Results (sorted):

# Population Percent
1 North_Atlantic 40.75
2 Baltic 19.59
3 West_Med 15.69
4 East_Med 12.18
5 West_Asian 9.31
6 Amerindian 1.06
7 South_Asian 0.86
8 Siberian 0.46
9 Oceanian 0.11

Single Population Sharing:

# Population (source) Distance
1 West_German 5.22
2 French 6.49
3 South_Dutch 6.67
4 Austrian 10.55
5 Southeast_English 11.81
6 North_German 12.38
7 Spanish_Cataluna 12.71
8 East_German 12.94
9 Hungarian 13.46
10 Southwest_English 13.5
10 Southwest_English 13.5
11 Portuguese 13.61
12 Danish 13.82
13 Orcadian 13.89
14 North_Dutch 13.94
15 Spanish_Galicia 14.17
16 Serbian 14.25
17 Spanish_Castilla_Y_Leon 14.27
18 Irish 14.68
19 Spanish_Murcia 15.01
20 West_Scottish 15.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.7% Southeast_English + 29.3% Central_Greek @ 2.28
2 67.1% Orcadian + 32.9% Central_Greek @ 2.3
3 83.7% West_German + 16.3% Italian_Abruzzo @ 2.3
4 63.8% Orcadian + 36.2% Italian_Abruzzo @ 2.32
5 69.2% Orcadian + 30.8% South_Italian @ 2.32
6 86.9% West_German + 13.1% South_Italian @ 2.39
7 67.6% Southeast_English + 32.4% Italian_Abruzzo @ 2.47
8 79.1% Southeast_English + 20.9% Cyprian @ 2.49
9 65.3% West_Scottish + 34.7% Central_Greek @ 2.52
10 90.6% West_German + 9.4% Cyprian @ 2.53
11 91.5% West_German + 8.5% Armenian @ 2.55
12 65.9% Irish + 34.1% Central_Greek @ 2.55
13 86.1% West_German + 13.9% Central_Greek @ 2.59
14 69.2% North_Dutch + 30.8% South_Italian @ 2.6
15 91.6% West_German + 8.4% Assyrian @ 2.61
16 76.2% Orcadian + 23.8% Cyprian @ 2.63
17 68% Irish + 32% South_Italian @ 2.64
18 72.7% Southeast_English + 27.3% South_Italian @ 2.66
19 69.4% Danish + 30.6% South_Italian @ 2.66
20 88.8% West_German


Eurogenes EUtest V2 K15 Oracle results:

Admix Results (sorted):

# Population Percent
1 North_Sea 27.42
2 Atlantic 24.57
3 Baltic 11.73
4 West_Med 11.08
5 East_Med 9.32
6 West_Asian 9.11
7 Eastern_Euro 5.19
8 Amerindian 0.88
9 South_Asian 0.43
10 Siberian 0.27

Single Population Sharing:

# Population (source) Distance
1 South_Dutch 7.32
2 French 7.48
3 West_German 8.03
4 North_German 10.64
5 East_German 11.32
6 Southwest_English 11.44
7 Austrian 11.46
8 Southeast_English 11.84
9 Hungarian 12.48
10 Serbian 12.5

Cuz we almost identical. I'm curious as to how you look like tbh

[Papastratosels26]

Cool results, man.

Στάλθηκε από το G3311 μου χρησιμοποιώντας Tapatalk

[Coastal Elite]

Cuz we almost identical. I'm curious as to how you look like tbh

Romanian + Irish or Scandinavian = West German. That seems to be the math here. Makes me wonder what the typical West German looks like.

I look Atlantid/North-Atlantid like JFK Jr or the actor Thomas Gibson. Kinda dark Irish, brown hair & hazel eyes. Do you look more Norwegian, Romanian, or Central European?

[Bellbeaking]

Honorary West germans and south Brits

[Ibericus]

Romanian + Irish or Scandinavian = West German. That seems to be the math here. Makes me wonder what the typical West German looks like.

I look Atlantid/North-Atlantid like JFK Jr or the actor Thomas Gibson. Kinda dark Irish, brown hair & hazel eyes. Do you look more Norwegian, Romanian, or Central European?
Ter-Stegen is a West-German :

https://statics.sportskeeda.com/editor/2018/02/30f8c-1519736811-800.jpg

[Coastal Elite]

That's what happens when you are a mixture. You will cluster somewhere in the middle of both ancestral pops.

Honorary French and South Germans. I think in the case of one European ethnicity mixing with another, it comes down to a reconfiguration of HG, EEF, and Steppe admixture. So they'll always be some population that is relatively close within Europe. Perhaps a group such as Sardinians or Cypriots might be a slight exception to this because EEF is so dominate (I think they are Europeans btw, no disrespect intended). I'd actually be interested to see where a NW European mixed with an East Asian or Latin American would plot. I assume it wouldn't be that close to any one group.