Moldovan/Romanian GEDmatch Resuts

[Jana]

This Gypsy woman is very attractive.

[Leto]

Cool, she is definitely a full Tzigane. And looks way better than stereotypical Gypsies

[Jana]

Cool, she is definitely a full Tzigane. And looks way better than stereotypical Gypsies

Many Gypsies in my city are good looking when young. I think main problem is many of adults are fat and have degenerate lifestyle.

[Aspirin]

What do you think is cause of such results?

[Leto]

Many Gypsies in my city are good looking when young. I think main problem is many of adults are fat and have degenerate lifestyle.

Yes, they could be better theoretically than they are. Gypsy culture is holding them down but let's not turn the thread into this discussion.

[Ion Basescul]

Any guesses at her ancestry and scores?

Spoiler!

[Leto]

Any guesses at her ancestry and scores?

Spoiler!

Moldovan and with 30+ percent Baltic? I hope we're not supposed to give a detailed guesstimate.

[Ion Basescul]

Moldovan and with 30+ percent Baltic? I hope we're not supposed to give a detailed guesstimate.

No, she was born in Ukraine and is married to a native Ukrainian speaking Ukrainian. But her maiden family name, Tsurkan, is of Moldovan/Romanian origin (original Latin version, as hers is transliterated from Cyrillic probably, is Turcan). It is very popular in R. Moldova.
I think she's a half Ukrainian mix. She looks like the female version of Nurzat, who is half Ukrainian.

North_Atlantic 27.11 Pct
Baltic 37.38 Pct
West_Med 12.55 Pct
West_Asian 4.40 Pct
East_Med 12.93 Pct
Red_Sea 2.10 Pct
South_Asian -
East_Asian -
Siberian 3.22 Pct
Amerindian 0.29 Pct
Oceanian -
Northeast_African -
Sub-Saharan -


# Population (source) Distance
1 Croatian 5.78
2 Moldavian 7.38
3 Hungarian 8.06
4 Ukrainian_Lviv 8.38
5 South_Polish 8.59
6 Ukrainian 8.95
7 Serbian 10.91
8 Southwest_Russian 11.56
9 Polish 11.71
10 East_German 12.2
11 Austrian 12.53
12 Ukrainian_Belgorod 12.62
13 Estonian_Polish 13.33
14 Russian_Smolensk 13.37
15 Belorussian 13.74
16 Romanian 14.6
17 Kargopol_Russian 15.47
18 Southwest_Finnish 16.16
19 Bulgarian 16.51
20 Erzya 17.38

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.5% Estonian + 34.5% Ashkenazi @ 2.53
2 69.9% Estonian + 30.1% Algerian_Jewish @ 2.54
3 69.9% Estonian + 30.1% Italian_Jewish @ 2.62
4 70.6% Belorussian + 29.4% West_Sicilian @ 3.09
5 70.1% Estonian + 29.9% Sephardic_Jewish @ 3.15
6 58.7% Estonian + 41.3% Greek_Thessaly @ 3.22
7 65.4% Estonian + 34.6% East_Sicilian @ 3.3
8 71.3% Estonian_Polish + 28.7% West_Sicilian @ 3.3
9 68.1% Belorussian + 31.9% Tuscan @ 3.34
10 68.8% Estonian_Polish + 31.2% Tuscan @ 3.36
11 75.2% Belorussian + 24.8% Italian_Jewish @ 3.36
12 67.6% Estonian + 32.4% South_Italian @ 3.39
13 71.6% Estonian + 28.4% Tunisian_Jewish @ 3.39
14 75.8% Estonian_Polish + 24.2% Italian_Jewish @ 3.42
15 64.8% Estonian + 35.2% Central_Greek @ 3.52
16 75.3% Belorussian + 24.7% Algerian_Jewish @ 3.56
17 65% Belorussian + 35% Greek_Thessaly @ 3.57
18 73.1% Belorussian + 26.9% South_Italian @ 3.58
19 72.1% Southwest_Russian + 27.9% Tuscan @ 3.61
20 75.4% Belorussian + 24.6% Sephardic_Jewish @ 3.62

Using 2 populations approximation:
1 50% Belorussian +50% Romanian @ 4.195218


Using 3 populations approximation:
1 50% Estonian_Polish +25% Italian_Jewish +25% Southwest_Finnish @ 2.676846


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++
1 Algerian_Jewish + Belorussian + Estonian_Polish + Southwest_Finnish @ 2.646600
2 Estonian_Polish + Estonian_Polish + Italian_Jewish + Southwest_Finnish @ 2.676846
3 Algerian_Jewish + Estonian_Polish + Estonian_Polish + Southwest_Finnish @ 2.688285
4 Algerian_Jewish + Belorussian + Belorussian + Southwest_Finnish @ 2.723740
5 Estonian_Polish + Estonian_Polish + Finnish + Italian_Jewish @ 2.769142
6 Estonian + Estonian + Italian_Jewish + Ukrainian @ 2.782158
7 Ashkenazi + Estonian_Polish + Southwest_Finnish + Ukrainian @ 2.795089
8 Belorussian + Estonian_Polish + Italian_Jewish + Southwest_Finnish @ 2.807140
9 Belorussian + East_Finnish + Italian_Jewish + Polish @ 2.821664
10 Belorussian + Estonian + Italian_Jewish + Ukrainian @ 2.826086
11 Belorussian + East_Finnish + Italian_Jewish + Ukrainian @ 2.841588
12 Belorussian + Estonian_Polish + Finnish + Italian_Jewish @ 2.844390
13 Ashkenazi + Belorussian + Southwest_Finnish + Ukrainian @ 2.858716
14 East_Finnish + Estonian_Polish + Italian_Jewish + Polish @ 2.860471
15 East_Finnish + Estonian + Italian_Jewish + Ukrainian @ 2.905860
16 Belorussian + East_Finnish + Italian_Jewish + South_Polish @ 2.907618
17 Estonian + Estonian_Polish + Estonian_Polish + Italian_Jewish @ 2.910925
18 Belorussian + Estonian + Estonian_Polish + Italian_Jewish @ 2.915888
19 Belorussian + Finnish + Italian_Jewish + Ukrainian @ 2.924480
20 East_Finnish + Estonian_Polish + Italian_Jewish + South_Polish @ 2.936287

[Leto]

Haha, I actually thought of Nurzat too
Can you also share her Dodecad components?

[Ion Basescul]

Haha, I actually thought of Nurzat too
Can you also share her Dodecad components?

# Population Percent
1 North_European 47.3
2 Atlantic_Med 24.46
3 Caucasus 17.74
4 Southwest_Asian 4.67
5 Siberian 3.25
6 Gedrosia 2.51
7 Sub_Saharan 0.07

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 4.55
2 German (Dodecad) 12.36
3 Romanians (Behar) 14.5
4 Ukranians (Yunusbayev) 16.05
5 Bulgarian (Dodecad) 16.3
6 Bulgarians (Yunusbayev) 16.43
7 Polish (Dodecad) 16.44
8 Mixed_Slav (Dodecad) 18.04
9 Mixed_Germanic (Dodecad) 19.08
10 Dutch (Dodecad) 19.82
11 Swedish (Dodecad) 19.91
12 Mordovians (Yunusbayev) 20.95
13 Russian (Dodecad) 21.02
14 Belorussian (Behar) 21.31
15 Russian_B (Behar) 21.34
16 Norwegian (Dodecad) 21.41
17 Russian (HGDP) 22.2
18 CEU30 (1000Genomes) 22.48
19 Kent (1000Genomes) 22.66
20 English (Dodecad) 22.7

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.6% Finnish (Dodecad) + 49.4% C_Italian (Dodecad) @ 1.91
2 50.2% Tuscan (HGDP) + 49.8% Finnish (Dodecad) @ 2.04
3 59.6% Russian (Dodecad) + 40.4% TSI30 (Metspalu) @ 2.17
4 53.8% O_Italian (Dodecad) + 46.2% Finnish (Dodecad) @ 2.18
5 51.9% FIN30 (1000Genomes) + 48.1% C_Italian (Dodecad) @ 2.19
6 58.2% Russian (HGDP) + 41.8% TSI30 (Metspalu) @ 2.25
7 51.1% FIN30 (1000Genomes) + 48.9% Tuscan (HGDP) @ 2.47
8 52.5% O_Italian (Dodecad) + 47.5% FIN30 (1000Genomes) @ 2.52
9 58.8% Russian (HGDP) + 41.2% Tuscan (HGDP) @ 2.61
10 59.1% Mordovians (Yunusbayev) + 40.9% North_Italian (HGDP) @ 2.81
11 63.3% Mixed_Slav (Dodecad) + 36.7% TSI30 (Metspalu) @ 2.86
12 50.7% TSI30 (Metspalu) + 49.3% Finnish (Dodecad) @ 2.89
13 56.4% Russian_B (Behar) + 43.6% N_Italian (Dodecad) @ 2.93
14 55.4% Russian (HGDP) + 44.6% N_Italian (Dodecad) @ 3
15 56.6% Russian (Dodecad) + 43.4% O_Italian (Dodecad) @ 3.08
16 63.9% Mixed_Slav (Dodecad) + 36.1% Tuscan (HGDP) @ 3.12
17 56.8% Mordovians (Yunusbayev) + 43.2% N_Italian (Dodecad) @ 3.12
18 58.7% Russian_B (Behar) + 41.3% North_Italian (HGDP) @ 3.17
19 57.7% Russian (HGDP) + 42.3% North_Italian (HGDP) @ 3.17
20 60.4% Mixed_Slav (Dodecad) + 39.6% O_Italian (Dodecad) @ 3.2