Transylvanian/Romanian GEDmatch Results

[Chris596]

Great results everyone, am I the one who has the highest Baltic score so far? (I think it comes from my ancestry from Hungary)

[Leto]

my mothers results: 3/4 Hungarian/transylvania 1/4 Eastern Austria.
#
Population
Percent
1 North_Atlantic 31.10
2 Baltic 29.77
3 West_Med 15.27
4 East_Med 12.98
5 West_Asian 5.13
6 Siberian 3.29
7 South_Asian 1.58

3.3%?? Can you please share her Dodecad K12b components? All of them.

[17571imre]

3.3%?? Can you please share her Dodecad K12b components? All of them.

Population

Gedrosia 6.34 Pct
Siberian 2.39 Pct
Northwest_African -
Southeast_Asian 0.59 Pct
Atlantic_Med 30.19 Pct
North_European 43.23 Pct
South_Asian 0.09 Pct
East_African -
Southwest_Asian 3.17 Pct
East_Asian 0.72 Pct
Caucasus 13.29 Pct
Sub_Saharan -

she scores 2% NorthEast Asia on FTDNA

[Leto]

Population

Gedrosia 6.34 Pct
Siberian 2.39 Pct
Northwest_African -
Southeast_Asian 0.59 Pct
Atlantic_Med 30.19 Pct
North_European 43.23 Pct
South_Asian 0.09 Pct
East_African -
Southwest_Asian 3.17 Pct
East_Asian 0.72 Pct
Caucasus 13.29 Pct
Sub_Saharan -

she scores 2% NorthEast Asia on FTDNA

2.39 + 0.59 + 0.72 = 3.7%
That's quite a bit considering she is 1/4 Austrian.

These are her oracles. Quite neat

Target: ~
Distance: 1.7337% / 1.73368860 | ADC: 0.5x
51.0 German
49.0 HUN_Szekely

Target: ~
Distance: 0.9843% / 0.98429923 | ADC: 0.25x
51.8 German
45.4 HUN_Szekely
1.4 French
1.2 Ket
0.2 Dolgan

[Chris596]

2.39 + 0.59 + 0.72 = 3.7%
That's quite a bit considering she is 1/4 Austrian.

These are her oracles. Quite neat

Interesting, I get almost the same amount on Dodecad K12b, but instead of Siberian I get East Asian (so it's not the same in the case of Hungarians?)

[Ion Basescul]

Thanks to everyone who shared their results.

v2

[Cybele]

You can add me too (from Mureș county+ distant Alba ancestor)

K13 Admix Results (sorted):



# Population Percent

1 North_Atlantic 26.34

2 Baltic 22.26

3 West_Med 19.68

4 East_Med 14.43

5 West_Asian 10.29

6 Red_Sea 2.8

7 South_Asian 2.11

8 Siberian 1.52

9 Amerindian 0.3

10 Oceanian 0.28

Single Population Sharing:


Population Distance

1. Romanian 5.06
2. Serbian 6.16
3. Bulgarian 7.2
4. Moldavian 11.66
5. Greek_Thessaly 12.67
6. Hungarian 12.68
7. North_Italian 12.93
8. Austrian 13.98
9. Croatian 14.12
10. Tuscan 14.68
11. French 15.89
12. East_German 15.95
13. West_German 16.5
14. Portuguese 16.85
15. Spanish_Galicia 17.04
16. Italian_Abruzzo 17.53
17. South_Dutch 17.78
18. Spanish_Extremadura 17.87
19. Spanish_Cataluna 18.09
20. Spanish_Castilla_Y_Leon 18.79

Mixed Mode Population Sharing:

Primary Population Secondary Population Distance

1 88.7% Romanian + 11.3% French_Basque 2.75
2 83% Romanian + 17% Southwest_French 2.79
3 52.7% Moldavian + 47.3% North_Italian 2.81
4 56% Moldavian + 44% Tuscan 2.85
5 83% Romanian + 17% Spanish_Cantabria 2.88
6 80.2% Romanian + 19.8% Spanish_Galicia 2.9
7 83.3% Romanian + 16.7% Spanish_Castilla_La_Mancha 3.08
8 85.2% Romanian + 14.8% Spanish_Aragon 3.12
9 81.7% Romanian + 18.3% Spanish_Extremadura 3.16
10 83.2% Romanian + 16.8% Spanish_Andalucia 3.19
11 82.7% Romanian + 17.3% Spanish_Castilla_Y_Leon 3.25
12 81.1% Romanian + 18.9% Portuguese 3.27
13 82.2% Romanian + 17.8% Spanish_Cataluna 3.27
14 83.4% Romanian + 16.6% Spanish_Valencia 3.38
15 58.6% Tuscan + 41.4% Ukrainian_Lviv 3.39
16 83.4% Romanian+ 16.6% Spanish_Murcia 3.4
17 56.1% Greek_Thessaly + 43.9% East_German 3.44
18 80.9% Romanian + 19.1% French 3.49
19 51% Croatian + 49% Tuscan 3.5
20 54.9% East_German + 45.1% Central_Greek 3.53

[IrisSelene]

Thanks to everyone who shared their results.

v2

Did I share mine? lol I don't remember

[Cybele]

# Primary Population (source) Secondary Population (source) Distance
1 63.7% Tuscan + 36.3% Erzya @ 2.98
2 62.5% Moldavian + 37.5% Tuscan @ 3.46
3 67.1% Moldavian + 32.9% West_Sicilian @ 3.69
4 62.7% Tuscan + 37.3% Kargopol_Russian @ 3.8
5 89.7% Serbian + 10.3% Sardinian @ 3.89
6 50.8% Ukrainian_Lviv + 49.2% West_Sicilian @ 3.95
7 96.7% Romanian + 3.3% Selkup @ 3.97
8 97.4% Romanian + 2.6% Dolgan @ 3.97
9 97.6% Romanian + 2.4% Evens @ 3.98
10 97.5% Romanian + 2.5% Evenki @ 3.99
11 50.9% West_Sicilian + 49.1% Ukrainian @ 4
12 97.4% Romanian + 2.6% Yakut @ 4
13 96.7% Romanian + 3.3% Ket @ 4.01
14 94.9% Romanian + 5.1% Sardinian @ 4.1
15 97.7% Romanian + 2.3% Oroqen @ 4.1
16 61.1% Croatian + 38.9% West_Sicilian @ 4.11
17 97.6% Romanian + 2.4% Koryak @ 4.14
18 95.1% Romanian + 4.9% Mari @ 4.14
19 97.3% Romanian + 2.7% Tuvinian @ 4.15
20 58% West_Sicilian + 42% Kargopol_Russian @ 4.17

My mother (also from region of Transylvania with one grandparent from Alba) got as well some very small percentages of: Mari, Selkup, Evenki, Dolgan, Ket etc. on her EuroK13. I wonder why is that

[IrisSelene]

I'm from Crisana, Arad. 3/8 Hungarian, 2/8 Romanian, 2/8 Bulgarian, 1/8 Croat.



With V3:

Population
North_Atlantic 23.62 Pct
Baltic 30.49 Pct
West_Med 16.36 Pct
West_Asian 11.74 Pct
East_Med 13.78 Pct
Red_Sea 0.35 Pct
South_Asian 0.64 Pct
East_Asian 0.75 Pct
Siberian 1.57 Pct
Amerindian 0.47 Pct
Oceanian -
Northeast_African -
Sub-Saharan 0.23 Pct


Least-squares method.

Using 1 population approximation:
1 Moldavian @ 5.431706
2 Serbian @ 6.100284
3 Romanian @ 7.709648
4 Croatian @ 9.185903
5 Bulgarian @ 9.577634
6 Hungarian @ 11.154503
7 Austrian @ 15.608813
8 Ukrainian_Lviv @ 16.096666
9 East_German @ 16.832279
10 South_Polish @ 17.187538
11 Ukrainian @ 17.449131
12 Greek_Thessaly @ 19.726234
13 Southwest_Russian @ 20.799232
14 Ukrainian_Belgorod @ 20.892605
15 Polish @ 21.227766
16 Tatar @ 21.371767
17 West_German @ 22.426287
18 Russian_Smolensk @ 23.226198
19 North_Italian @ 23.735210
20 Estonian_Polish @ 23.915695

Using 2 populations approximation:
1 50% Moldavian +50% Romanian @ 2.725704


Using 3 populations approximation:
1 50% Bulgarian +25% Moldavian +25% Ukrainian_Lviv @ 2.458634


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++
1 Bulgarian + Bulgarian + Moldavian + Ukrainian_Lviv @ 2.458634
2 Central_Greek + Moldavian + Moldavian + Ukrainian @ 2.463907
3 Bulgarian + Moldavian + Moldavian + Moldavian @ 2.510268
4 Bulgarian + Bulgarian + Moldavian + Ukrainian @ 2.517138
5 Central_Greek + Moldavian + Moldavian + South_Polish @ 2.669398
6 Bulgarian + Moldavian + Moldavian + Serbian @ 2.672062
7 Bulgarian + Bulgarian + Moldavian + South_Polish @ 2.677082
8 Bulgarian + Moldavian + Moldavian + Romanian @ 2.709107
9 Bulgarian + Croatian + Moldavian + Romanian @ 2.724024
10 Moldavian + Moldavian + Romanian + Romanian @ 2.725704
11 Bulgarian + Bulgarian + Croatian + Moldavian @ 2.754984
12 Bulgarian + Bulgarian + Kargopol_Russian + Romanian @ 2.770618
13 Bulgarian + Moldavian + Romanian + Ukrainian_Lviv @ 2.793506
14 Central_Greek + Moldavian + Moldavian + Ukrainian_Lviv @ 2.798623
15 Bulgarian + Kargopol_Russian + Romanian + Romanian @ 2.815176
16 Moldavian + Moldavian + South_Italian + Ukrainian_Belgorod @ 2.824782
17 Bulgarian + Moldavian + Romanian + Ukrainian @ 2.846259
18 Greek_Thessaly + Moldavian + Romanian + Ukrainian_Belgorod @ 2.857519
19 Central_Greek + Moldavian + Moldavian + Ukrainian_Belgorod @ 2.867073
20 Italian_Abruzzo + Moldavian + Moldavian + Ukrainian @ 2.868101


With V5:



Population
North_Atlantic 21.24 Pct
Baltic 31.64 Pct
West_Med 14.66 Pct
West_Asian 14.77 Pct
East_Med 14.81 Pct
Red_Sea -
South_Asian -
East_Asian -
Siberian 2.13 Pct
Amerindian 0.75 Pct
Oceanian -
Northeast_African -
Sub-Saharan -

Least-squares method.

Using 1 population approximation:
1 Moldavian @ 7.973099
2 Serbian @ 9.673020
3 Romanian @ 9.806473
4 Bulgarian @ 10.581062
5 Croatian @ 11.732075
6 Hungarian @ 14.351007
7 Ukrainian_Lviv @ 17.441879
8 Ukrainian @ 18.776432
9 South_Polish @ 18.811474
10 Austrian @ 19.125437
11 East_German @ 20.277328
12 Greek_Thessaly @ 20.389950
13 Tatar @ 20.533907
14 Ukrainian_Belgorod @ 20.906082
15 Southwest_Russian @ 21.057371
16 Polish @ 22.586363
17 Russian_Smolensk @ 23.947634
18 Estonian_Polish @ 24.756590
19 Kargopol_Russian @ 25.193983
20 Belorussian @ 25.514446

Using 2 populations approximation:
1 50% Erzya +50% Italian_Abruzzo @ 5.320919


Using 3 populations approximation:
1 50% Croatian +25% Southwest_Russian +25% Turkish @ 4.370676


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++
1 Armenian + Croatian + Ukrainian + Ukrainian @ 3.510861
2 Armenian + Moldavian + Ukrainian + Ukrainian @ 3.623739
3 Armenian + Croatian + South_Polish + Ukrainian @ 3.840235
4 Armenian + Croatian + Ukrainian + Ukrainian_Lviv @ 3.868442
5 Armenian + Moldavian + South_Polish + Ukrainian @ 3.879180
6 Armenian + Bulgarian + Estonian + Ukrainian @ 3.889106
7 Armenian + Lithuanian + Romanian + Ukrainian @ 3.925853
8 Armenian + Moldavian + Polish + Ukrainian @ 3.931661
9 Armenian + Croatian + Southwest_Russian + Ukrainian @ 3.970079
10 Armenian + Bulgarian + Lithuanian + Ukrainian @ 3.996716
11 Armenian + Croatian + Croatian + Estonian_Polish @ 4.009712
12 Armenian + Estonian_Polish + Moldavian + Ukrainian @ 4.014107
13 Armenian + Moldavian + Southwest_Russian + Ukrainian @ 4.020778
14 Armenian + Estonian + Romanian + Ukrainian @ 4.028778
15 Armenian + Erzya + Lithuanian + North_Italian @ 4.080880
16 Armenian + Moldavian + Ukrainian + Ukrainian_Lviv @ 4.085292
17 Armenian + Estonian_Polish + Serbian + Ukrainian @ 4.085639
18 Armenian + Lithuanian + Serbian + Ukrainian @ 4.088317
19 Armenian + Croatian + Croatian + Kargopol_Russian @ 4.097443
20 Croatian + Georgian_Jewish + Ukrainian + Ukrainian @ 4.098497