Cant somebody just give a simple instruction? Why we never get instructions to run something?
They ask for a target. Which target? I have my G25 coordinates but cant figure out what to copy and paste in target section.
Printable View
Cant somebody just give a simple instruction? Why we never get instructions to run something?
They ask for a target. Which target? I have my G25 coordinates but cant figure out what to copy and paste in target section.
Just your specific Gedmatch result for every calc. Forget fucking coords, it works with components!:)
Only paste it in such format, name at the begining (or whatever).
https://i.imgur.com/dDXWBBL.jpg
You mean these results on gedmatch for K15? :
Population
North_Atlantic 4.36 Pct
Baltic 4.88 Pct
West_Med 14.42 Pct
West_Asian 39.30 Pct
East_Med 29.84 Pct
Red_Sea 3.85 Pct
South_Asian 0.96 Pct
East_Asian 0.74 Pct
Amerindian 0.25 Pct
Oceanian 0.92 Pct
Sub-Saharan 0.48 Pct
EDIT not this.
From first page of results, 0 values too.
Population
North_Sea 20.31 Pct
Atlantic 11.25 Pct
Baltic 18.23 Pct
Eastern_Euro 28.43 Pct
West_Med -
West_Asian -
East_Med -
Red_Sea -
South_Asian -
Southeast_Asian -
Siberian 18.13 Pct
Amerindian 3.27 Pct
Oceanian 0.39 Pct
Northeast_African -
Sub-Saharan -
and then such format like above in image
Dodecad k12b modelled for father:
Target: BakhaFather
Distance: 9.6499% / 9.64988359 | ADC: 0.5x67.2 Turkmens 26.8 Morocco_Jews 2.8 Iranians 2.4 Oroqen 0.8 Bnei_Menashe_Jews
Target: BakhaFather
Distance: 5.6359% / 5.63594422 | ADC: 0.25x40.6 Iranians 16.2 Turkmens 15.2 Morocco_Jews 12.0 Oroqen 7.0 Bnei_Menashe_Jews 4.0 Azerbaijan_Jews 3.8 Sardinian 1.2 Mozabite
Target: BakhaFather
Distance: 1.4446% / 1.4446074940.0 Azerbaijan_Jews 13.0 Brahui 10.6 Sardinian 8.6 Georgians 7.0 Velamas 6.8 Evenk 5.0 JPT30 4.4 Mozabite 2.2 Japanese 1.6 Nganassan 0.8 Oroqen
Dodecad k12b:
Target: Bakha
Distance: 3.7249% / 3.72489887 | ADC: 0.5x51.4 Romanians 23.6 Tajiks 18.8 Chuvashs 6.2 Uzbeks
Target: Bakha
Distance: 1.8657% / 1.86572761 | ADC: 0.25x42.2 Romanians 24.8 Tajiks 21.0 Chuvashs 5.4 Uzbeks 3.4 Hungarians 2.8 Moroccans 0.2 Ethiopians 0.2 Khasi
HarappaWorld oracle/distances based on a bunch of custom samples I collected (and averaged):
Distance to: Mingle
2.83487213 pashtun-northeast
3.41026392 pashtun-tarkalani
3.48270010 pashtun-uthmankhel
4.09160115 pashtun-yusufzai
5.07643576 dameli
5.47295167 tajik-panjshir
6.31252723 kho
6.34710958 pashtun
6.90671412 pashtun-kandahar
7.31754057 nuristani
7.40365450 phalura
8.00299319 pashtun-n-afghanistan
8.14556935 kamboj
8.24456791 pathan
8.61988979 kalash
10.63989662 wakhi
11.03036264 punjabi-khatri
11.10975697 sindhi1
12.43834394 kashmiri
12.55885743 ishkashimi
13.31338049 burusho
13.45962852 bhatia
13.87582070 punjabi-jatt-sikh
14.04662949 gawar
14.29061930 pushtikar-brahmin
14.43572998 haryana-jatt
14.73018669 punjabi-jatt-muslim
14.80747446 tajik-herat
15.22888046 gujar-pakistan
15.52293465 kashmiri-pandit
15.92108979 baloch-iran
16.30796431 shughnani
16.64672340 rajasthani-brahmin
16.66243080 punjabi-saini
16.79219759 punjabi
16.79988393 gujarati-muslim
16.87863146 parsi
17.14958309 tajik-kulyab
17.42231615 punjabi-brahmin
17.74810976 tajik-tajikistan
17.86667289 iranian-bandar
17.94949581 punjabi-arain
18.03552883 iraqi-gypsy
18.21129869 singapore-indian-c
18.23051837 rushani
18.24314940 nepali
18.52934160 sindhi2
18.64540426 up-muslim
18.77051145 kashmiri-pahari
18.85671233 tajik-nw-afghanistan
Mdlp k23:
Target: Bakha
Distance: 2.3265% / 2.32651118 | ADC: 0.25x34.4 Tatar-Kazan 19.4 Romanian 15.4 Tabassaran 10.8 Tatar_Lithuania 7.2 Moksha 6.0 Parsi 3.2 Ain_Touta_WGA 3.0 Tatar_Mishar 0.6 Mozabite
Mdlp World in My case rocks, Tatar Pride:
Target: Bakha
Distance: 4.2764% / 4.27641311 | ADC: 0.5x51.4 Tatar_Crim 34.2 Tatar 5.6 Ajv52 5.0 Latvian_V 3.8 Tatar_Lithuania
Target: Bakha
Distance: 1.5945% / 1.59448001 | ADC: 0.25x41.0 Tatar_Crim 27.8 Tatar_Kryashen 7.4 Tatar_Lithuania 6.8 Latvian_V 5.0 Ajv52 5.0 Parsi 4.2 Tatar 2.4 Makrani 0.4 Jew_India
I think it works in your case, too. The problem is the Greek samples. I don't believe they represent proper Greek genetic as i always said. You may think i stuck with it lol. Anyway, let's investigate it.
Target: Thracian
Distance: 7.2152% / 7.21524088 | ADC: 1x
66.6 Greek_Macedonia_Thrace
17.6 Romanian
14.6 Greek_Peloponnese
1.2 Tadjik
Target: Thracian_I
Distance: 3.6034% / 3.60338105 | ADC: 0.5x
37.2 Romanian
31.8 Greek_Macedonia_Thrace
21.2 Greek_Andros_Island
7.8 Tadjik
2.0 Turkmen_Uzbekistan
These models are spot on. Romanian + Andros will make Macedonia Thrace and the rest is from the Turk part.
The thing which i didn't understand is your Greek admixture in these models and in most of the calculators, how is that possible to score such high while you don't have an ancestor from Greece? Or any town which is not highly populated by Greeks? You were thinking it is about your side which is from Kardzhali. Because they were identifying as "Dağlı"(Mountaineer) as an addition to their Turk identity and this was making them different than the others, i also remember we talked potential Sarakatsani-Dağlı connection in the past.
But after some time thinking about this, i can say that there are one more possible way to explain it. Because Dağlı results don't fit our imagination. See:
Admix Results (sorted):
# Population Percent
1 Baltic 18.37
2 West_Asian 17.42
3 East_Med 17.18
4 North_Atlantic 15.65
5 West_Med 15.33
6 Siberian 7.75
7 Red_Sea 3.97
8 East_Asian 3.47
9 Oceanian 0.47
10 Northeast_African 0.4
Single Population Sharing:
# Population (source) Distance
1 Bulgarian 12.54
2 Greek_Thessaly 13.48
3 Romanian 13.51
4 Central_Greek 16.27
5 Serbian 16.55
6 Italian_Abruzzo 16.7
7 East_Sicilian 17.5
8 West_Sicilian 18.93
9 Moldavian 19.39
10 Tuscan 19.48
11 Ashkenazi 19.54
12 South_Italian 20.08
13 Nogay 20.12
14 North_Italian 21.76
15 Turkish 22.07
16 Tatar 22.94
17 Croatian 23.09
18 Hungarian 23.1
19 Sephardic_Jewish 24.77
20 Kumyk 24.79
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 62.6% Bulgarian + 37.4% Nogay @ 4.5
2 60.9% Greek_Thessaly + 39.1% Nogay @ 4.94
3 69.5% Bulgarian + 30.5% Afghan_Turkmen @ 5.03
4 59.2% Central_Greek + 40.8% Tatar @ 5.16
5 53.5% South_Italian + 46.5% Tatar @ 5.17
6 61% Romanian + 39% Nogay @ 5.38
7 67.9% Greek_Thessaly + 32.1% Afghan_Turkmen @ 5.45
8 57.3% East_Sicilian + 42.7% Tatar @ 5.58
9 72.5% Bulgarian + 27.5% Uzbeki @ 5.82
10 75.8% Bulgarian + 24.2% Hazara @ 5.85
11 67.7% Central_Greek + 32.3% Chuvash @ 5.91
12 55.4% Tatar + 44.6% Cyprian @ 6
13 73.9% Bulgarian + 26.1% Aghan_Hazara @ 6.02
14 62.4% South_Italian + 37.6% Chuvash @ 6.03
15 52.1% Tatar + 47.9% Sephardic_Jewish @ 6.37
16 70.4% Central_Greek + 29.6% Mari @ 6.39
17 68.5% Romanian + 31.5% Afghan_Turkmen @ 6.41
18 58.8% Italian_Abruzzo + 41.2% Tatar @ 6.41
19 71.1% Greek_Thessaly + 28.9% Uzbeki @ 6.44
20 67.3% Italian_Abruzzo + 32.7% Chuvash @ 6.46
This person identifies as Dağlı. If i remember well, their migration date to Turkey is similar to your family and again, if i remember well, you two live in the same city in Turkey. And you two also matched. Despite we thought they had Greek admixture instead of Bulgarian and probably has little Turkic admixture, he has one of the most legit Bulgarian-Oghuz results i have ever seen.
On the other hand, you also have Gevgelija ancestry from Northern Macedonia. I searched languages spoken in this town during the Ottoman Empire and saw that there were primary schools in which their teachers are not assigned by the Ottoman government. But Greek schools already connected to the government, then?
Map is from 1886
https://i.ibb.co/LxJZMzq/vl.jpg
Then i checked the situation in today
https://i.ibb.co/HYQkLM5/vl2.png
https://upload.wikimedia.org/wikiped...len-map-en.png
You may also interested in with it:
You may think 5000 is small. But Macedonia has around 1000, Greece has around 4000 and Romania has around 1000. So this means half of their population converted. The ones who migrated to Turkey known as "Karacaovalılar"Quote:
Thede Kahl (2006): The islamisation of the Meglen Vlachs (Megleno-Romanians): The village of Nânti (Nótia) and the “Nântinets” in present-day Turkey, Nationalities Papers, 34:01, p80-81: "Assuming that nearly the total population of Nânti emigrated, then the number of emigrants must have been around 4,000. If the reported number of people living there today is added, the whole Meglen Vlachs population is c. 5,000."
Even if your ancestor is not convert but ethnic Turk, this map is from the 18th century and shows that the native population of the region were Vlachs, they didn't migrate from anywhere to there. So their admixture will be Vlach.Quote:
In 1900, the then province of Gevgelija, which contained most of the Megleno-Romanian settlements, had a population of 49,315, of which 20,643 Slavs, 14,900 Turks, 9,400 Christian Aromanians and Megleno-Romanians, 3,500 Muslim Megleno-Romanians, 655 Gypsies, and 187 Circassians
https://i.ibb.co/2YgmGp0/vl3.jpg
Your Kardzhali & Gevgelija side seems legit now and we can see the potential reason for your low East Eurasian and high Greco-Roman(NA) influence here.
I know, i think Davidski used the GREEKGRALPOP average for Greek_Thessaly, he didn't know where they are from(since the author of the article didn't state it, i asked from twitter lol) and wrote Thessaly because it was at the middle point. But almost all GREEKGRALPOP samples were from Thrace with few Pontiacs. I thought this because he did the same thing when i gave him Balkan Turk samples.
NE-Greek samples are from between Eastern Macedonia and Eastern Thrace and they have different genetic compared to Central Macedonia(Thessaloniki). I can suggest you to not bind them with Thessaloniki, but they are proper samples.
I can also give you some other Greek, Bulgarian and all other Muslim Balkanite samples but have to deep dive on the archive since this new Gedmatch thing blocked almost all kits.
average for Dodecad K12b
Quote:
Albanian_Kosovo,5.18,0.14,0.62,0.17,29.47,27.1,0.2 3,0.01,8.13,0.26,28.69,0
Albanian_North,4.49,0,1.15,0.03,29.7,28.3,0.21,0.0 5,7.34,0.12,28.6,0
Armenian_East,18.78,0.24,0.62,0.08,10.82,5.54,0.48 ,0.02,14.21,0.13,49.01,0
Armenian_West,17.23,0.05,0.79,0.11,12.26,3.33,0.39 ,0.1,16.05,0.08,49.54,0
Avar_Dagestan,25.18,2.76,0,0,6.09,25.32,1.19,0,2.0 6,0.28,37.13,0
Azerbaijani,20.81,2.53,0.45,0.58,9.08,9.18,2.66,0. 31,12.19,3.6,38.42,0.19
Azerbaijani_Dagestan,24.44,2.3,0.3,0.27,5.31,16.36 ,1.77,0.04,7.28,1.4,40.5,0.01
Azerbaijani_Iran,21.99,2.58,1.09,0.87,8.14,8.1,2.6 6,0.37,12.2,2.9,38.98,0.11
Azerbaijani_Turkey,20.37,3.02,0.47,0.66,9.25,8.51, 2.5,0.09,11.25,3.45,40.27,0.1
Bashkir,10.27,23.64,0.15,1.07,8,30.73,1.87,0.01,0. 49,16.51,7.24,0.01
Bosnian,4.81,0.53,0.39,0.12,25.91,42.79,0.74,0.03, 4.67,0.07,19.92,0.01
Circassian,19.16,3.23,0,0.66,5.2,17.08,0.5,0.04,3. 75,2.3,48.03,0.07
Crimean_Tatar_Coast,10.31,1.51,0.09,0,20.65,20.28, 0.24,0.18,9.37,1.08,36.29,0
Crimean_Tatar_Mountain,11.39,4.28,0.41,1.2,16.94,2 0.86,0.72,0.08,7.08,3.75,33.27,0.03
Crimean_Tatar_Steppe,9.45,12.82,0.16,2.36,11.94,25 .43,1.77,0.04,3.94,15.44,16.64,0
Georgian_Adjara,19.54,0.59,0,0,7.8,4.1,0.54,0.05,8 .46,0.31,58.62,0
Georgian_Gurian,18.73,0.31,0.02,0.34,4.51,10.73,0. 17,0.12,6.12,0,58.94,0
Georgian_Imereti,19.33,0.33,0,0.11,5.3,7.93,0.47,0 ,6.83,0.1,59.61,0
Georgian_Mingrelian,18.78,0.69,0.15,0.13,4.16,9.36 ,0.24,0.05,5.1,0.36,60.98,0
Georgian_Svan,20.22,1.36,0,0.33,2.71,11.49,0.15,0, 4.27,0.67,58.82,0
Georgian_Turkey,19.82,0.44,0,0.02,6.6,5.2,0.35,0.0 3,8.32,0.39,58.77,0
Greek_Cappadocia,11.66,0.41,0.6,0,18.85,6.27,0.13, 0,14.23,0.1,47.73,0.02
Greek_Crete,8.02,0.02,2.63,0.2,23.4,12.24,0.17,0.2 3,14.43,0.17,38.45,0.04
Greek_Pontus,14.93,0.01,0.41,0.06,12.38,4.19,0.13, 0.02,12.78,0.1,54.94,0
Kurd_Kurmanji,24.19,1.39,1.15,0.18,8.64,7.09,2.59, 0.26,13.97,0.62,39.81,0.1
Kurd_Sorani,24.26,0.4,1.22,0.48,7.29,6.28,3.79,0.9 4,16,0.5,38.62,0.24
Laz,17.25,0.06,0.17,0.25,9.41,5.05,0.1,0,10.19,0.0 3,57.48,0
Nusayri_Turkey,12.48,0.49,3.15,0.39,16.16,2.82,0.5 8,1.16,19.46,0.1,42.95,0.25
Talysh_Azerbaijan,25.5,1.24,0.71,0.32,6.32,7.18,3. 21,0.14,12.17,1.2,41.97,0.02
Turk_Ahiska,19.35,0.34,0.42,0.23,7.75,8.24,0.40,0, 9.56,0.46,53.16,0.03
Turk_Anatolia,14.62,5.01,0.96,0.61,12.83,10.75,1.3 5,0.2,10.92,4.87,37.71,0.09
Turk_Northwest,12.88,6.48,1.14,0.79,14.39,14.21,1. 13,0.17,9.59,5.55,33.5,0.11
Turk_Southwest,13.7,6.04,1.17,0.56,13.69,12.02,1.3 3,0.34,10.1,5.8,35.08,0.09
Turk_West_Black Sea,13.21,4.61,0.72,0.81,14.4,12.92,1.24,0.06,10.4 7,4.49,36.98,0.03
Turk_Central_West,14.48,4.37,0.96,0.53,13.53,10.75 ,1.35,0.16,11.57,4.52,37.65,0.08
Turk_Central_East,15.68,3.8,0.89,0.55,12.23,9.33,1 .45,0.16,11.66,3.91,40.18,0.08
Turk_South,15.42,5.44,1.11,0.51,11.29,10.08,1.6,0. 28,11.37,5.1,37.52,0.23
Turk_Central_Black_Sea,14.81,5.86,0.58,0.81,11.54, 9.37,1.09,0.12,10.34,5.63,39.78,0.02
Turk_East_Black_Sea,15.19,0.80,0.39,0.13,11.01,5.2 8,0.30,0,11.25,1.17,54.42,0
Turk_Southeast,18.06,3.07,0.72,0.29,10.83,8.49,2.1 8,0.88,13.65,3.48,38.12,0.16
Turk_East,18.08,1.73,0.78,0.60,10.65,7.55,1.17,0.0 8,12.17,1.35,45.75,0.04
Turkmen_Iraq,22.27,0.67,1.16,1.07,8.73,5.64,2.04,1 .15,16.7,1.85,38.58,0.15
Turkmen_Uzbekistan,19.54,13.24,0.18,2.04,6.54,12.8 6,5.08,0.05,6.49,13.96,19.93,0.07
Zaza,23.89,0.95,0.65,0.24,8.58,7.08,2.11,0.18,13.6 3,0.68,41.98,0.02
Hemshin,17.03,0.06,0.41,0.2,9.36,4.68,0.37,0.02,11 .13,0.02,56.67,0.01
Yoruk,15.01,7.43,2.66,0,11.44,10.96,1.73,0,8.34,8. 92,33.33,0.18
My father's Dodecad k12b:
https://i.imgur.com/vvg8h1a.png
How many samples is the Kurds average based on because their Gedrosia looks low. If you click on the AVERAGES button inside Dodecad K12 at Gedmatch you will see Gedrosia 28.70 and 28.20 average for Kurds
Kumyks 20.00 3.90 0.00 0.50 3.10 18.80 0.40 0.00 3.30 3.70 46.30 0.00 Kurd 28.70 1.50 0.90 0.40 5.90 5.70 1.10 0.40 14.00 1.00 40.40 0.00 Kurds 28.20 0.60 0.00 0.60 6.30 6.70 0.80 0.10 14.30 0.20 42.20 0.00
I verified the Dodecad K12 spreadsheet on Gedmatch with my extended Kurdish family and they are also like the spreadsheet (range Gedrosia 27 to 30).
Anyway, the same kind of oracle mingle posted, he also did one for me. Here are my results(harappaworld):
Distance to: Hussein khan
2.09914268 pashtun-burki
2.37373124 pashtun-kandahar
4.37269940 tajik-panjshir
4.59722743 pashtun-kakar
6.52602482 pashtun-n-afghanistan
8.12996310 pashtun
8.33706183 pashtun-northeast
8.64196737 pashtun-tarkalani
8.79139921 pashtun-uthmankhel
8.92446637 kho
9.67894622 tajik-herat
9.81328182 wakhi
9.82305960 dameli
9.85212667 ishkashimi
10.68914870 pashtun-yusufzai
10.84912439 nuristani
11.82435622 baloch-iran
12.00900912 tajik-kulyab
12.23915847 shughnani
12.75319568 kalash
13.02728291 tajik-tajikistan
13.21450718 bahar-azizi
13.50335144 iranian-bandar
13.53018847 phalura
13.77754695 pathan
14.19190262 rushani
14.60329415 tajik-gissar
14.65166543 parsi
14.77315809 iranian-yazd
15.12754111 tajik-aininsky
15.18518357 punjabi-kamboj
15.73533285 yaghnobi
16.61657907 iranian-mashhad
16.93354363 tajik-nw-afghanistan
17.39181417 sindhi1
18.00824811 punjabi-khatri
18.65007775 burusho
18.76229464 bhatia
19.01840687 turkmen
19.54471540 kashmiri
20.01958541 haryana-jatt
20.10359918 punjabi-jatt-sikh
20.34771240 iraqi-gypsy
20.62405149 gawar
20.92371143 pushtikar-brahmin
21.34825286 punjabi-jatt-muslim
22.09129014 gujar-pakistan
22.50856282 iranian-kerman
22.62065428 kashmiri-pandit
23.33470805 gujarati-muslim
These are my K13's ...courtesy of Mr G.
Target: Oszkar
Distance: 3.5927% / 3.59274266
69.2 Hungarian
30.8 Southeast_English
Target: Oszkar
Distance: 2.6508% / 2.65083523
51.2 Hungarian
24.6 North_Swedish
24.2 South_Dutch
Target: Oszkar
Distance: 6.2832% / 6.28323981
55.2 Southeast_English
44.8 Polish
Target: Oszkar
Distance: 7.1240%/ 7.12404415
50.8 Southeast_English
49.2 Serbian
K13
Code:Target: Viriato
Distance: 1.2718% / 1.27176286 | ADC: 0.25x
62.0 Portuguese
26.2 Spanish_Andalucia
4.8 North_Italian
4.0 Romanian
1.6 Kabardin
0.8 Ethiopian_Ari_cultivator
0.4 Tatar
0.2 Moldavian
Distance to: Viriato
3.23292437 Portuguese
3.93624186 Spanish_Extremadura
4.88668599 Spanish_Galicia
5.04575069 Spanish_Murcia
5.26206233 Spanish_Castilla_Y_Leon
5.65020354 Spanish_Andalucia
5.68664224 Spanish_Cataluna
6.00774500 Spanish_Valencia
6.37721726 Spanish_Castilla_La_Mancha
8.11696988 Spanish_Cantabria
8.31347100 North_Italian
9.89720162 Spanish_Aragon
10.28382225 Southwest_French
11.36765587 French
15.31151854 Tuscan
17.95445906 West_German
18.15188420 South_Dutch
19.95916581 Albanian
20.06715429 North_Macedonian
21.48492495 Romanian
21.66473632 Serbian
22.54186328 Austrian
23.00638172 West_Sicilian
23.19864005 French_Basque
23.21022619 Bulgarian
K15
EUtestCode:Target: Viriato
Distance: 2.3779% / 2.37792718 | ADC: 0.25x
65.8 Portuguese
16.0 Spanish_Murcia
11.6 North_Italian
3.6 Sardinian
1.8 Mari
1.0 Ethiopian_Ari_cultivator
0.2 Chuvash
Distance to: Viriato
3.72943695 Portuguese
4.64945158 Spanish_Extremadura
5.30538406 Spanish_Murcia
5.95713857 Spanish_Galicia
6.04763590 Spanish_Cataluna
6.43324180 Spanish_Castilla_Y_Leon
7.71746720 Spanish_Andalucia
8.01973192 North_Italian
8.04015547 Spanish_Valencia
8.32299826 Spanish_Castilla_La_Mancha
8.65502744 Spanish_Cantabria
10.44439563 Spanish_Aragon
10.99508072 Southwest_French
12.83151589 French
15.03297708 Tuscan
18.10168777 South_Dutch
19.50565559 Serbian
20.50090730 West_German
20.96028864 Romanian
21.52775650 Austrian
21.75199071 Bulgarian
21.97729510 West_Sicilian
22.31759620 French_Basque
22.51389571 Southwest_English
22.62755179 Greek_Thessaly
JtestCode:Target: Viriato
Distance: 2.6145% / 2.61450324 | ADC: 0.25x
81.4 Portugese
9.6 Sardinian
3.8 East_Russian
2.8 Lezgin
2.2 Komi
0.2 Somali
Distance to: Viriato
5.60398965 Portugese
7.18708564 spanish
10.12138824 North_Italian
10.90455409 French
15.05460395 Tuscan
17.53753974 Albanian_1
17.74471189 Kosovar_1
18.72894017 Austrian
19.09014143 Bulgarian_1
20.39860289 Serbian
20.57562393 West_&_Central_German
20.62334357 Cornish
20.66335404 Romanian
20.94366969 Dutch
21.71888119 English
21.98070063 Hungarian
23.30015397 SerbianBosnia
23.34963169 French_Basque
23.79820161 Orcadian
23.88411606 Irish
24.36313403 Maltese_1
24.43624767 Moldavian_1
24.45389948 Slovenian_1
24.70265168 Danish
24.82736694 Croatian
Code:Target: Viriato
Distance: 2.5373% / 2.53727860 | ADC: 0.25x
81.6 PT
9.8 Sardinian
3.8 East_Russian
2.4 Komi
2.2 Lezgin
0.2 Somali
Distance to: Viriato
5.50398946 PT
7.08128519 ES
10.14352503 North_Italian
10.92508124 FR
14.86925687 Tuscan
18.72999466 AT
20.38229624 Serbian
20.49682658 West_&_Central_German
20.57236253 Cornish
20.65731347 RO
20.84046065 NL
21.68478268 English
21.91383581 HU
23.37114888 French_Basque
23.71665449 Orcadian
23.73712493 IE
24.56793846 DK
25.12613381 Scottish
26.03154817 South_Italian_&_Sicilian
26.56231353 NO
27.14872557 South_&_Central_Swedish
29.55589451 GR
29.83616933 North_Swedish
31.25448768 Moroccan
33.91509693 PL
I noticed that there are some important European ethnicities and regional ethnic variations missing from K13 and K15: Slovaks, Slovenians, Swiss (in their various sub-regions), Sorbs, Székely, Basque, Csángó, Scottish, Welsh, Bretons, Latvian, Icelandic, Flemish, Walloon, Catalans, and a few more that I missed. Is there any chance to add them?
post your EUtest results: http://vahaduo.genetics.ovh/EUtest-vahaduo.htm
K15
Code:Target: Viriato Girlfriend
Distance: 5.6967% / 5.69666248 | ADC: 0.25x
82.0 Spanish_Galicia
8.2 Portuguese
4.4 Orcadian
4.4 Sardinian
0.6 Karitiana
0.4 Yoruban
Distance to: Viriato Girlfriend
6.06907736 Spanish_Galicia
6.59984091 Portuguese
8.48075468 Spanish_Extremadura
8.86581638 Spanish_Cataluna
9.24236442 Spanish_Murcia
9.81214553 Spanish_Castilla_Y_Leon
11.22161753 Spanish_Cantabria
11.90177298 French
12.63190009 Spanish_Valencia
12.63569943 Spanish_Castilla_La_Mancha
12.81959048 North_Italian
13.24186920 Spanish_Andalucia
13.79383920 Spanish_Aragon
14.39105972 Southwest_French
17.63825672 South_Dutch
18.49283645 West_German
19.18790244 Tuscan
20.51772161 Southwest_English
22.20108781 Southeast_English
22.77655373 Serbian
24.03429217 East_German
24.53392549 North_German
24.54686334 Austrian
24.63700266 French_Basque
24.73734828 Irish
Distance to: Grace
3.38242517 Orcadian
4.07725398 Irish
4.68081190 Scottish
6.12529183 English
6.51618754 Cornish
6.51776802 Dutch
6.83122244 Danish
7.10242916 Norwegian
7.49066753 West_&_Central_German
7.82152798 South_&_Central_Swedish
12.09267960 North_Swedish
15.62479440 Austrian
16.16706838 French
19.23692705 Czech
20.90504245 Hungarian
21.19488969 Croatian
21.63726184 Slovenian_1
21.79977523 South_Finnish
23.32179238 Slovakian_1
24.36769532 SerbianBosnia
24.61898454 Serbian
24.62604516 Portugese
24.81400814 spanish
24.87292303 Polish
25.70433816 Moldavian_1
Target: Grace
Distance: 2.3459% / 2.34586437
64.4 Scottish
32.8 South_&_Central_Swedish
2.8 German
I think the EU test is just an earlier version of the Eurogenes tests.
Using the ADC for EUTest.
Target: Grace
Distance: 3.5883% / 3.58825863 | ADC: 1x
100.0 Orcadian
Target: Grace
Distance: 3.5883% / 3.58825863 | ADC: 1x
100.0 Orcadian
Target: Grace
Distance: 3.1696% / 3.16960499 | ADC: 0.5x
76.2 Orcadian
11.8 South_&_Central_Swedish
11.4 Scottish
0.6 Lezgin
Target: Grace
Distance: 2.4577% / 2.45774713 | ADC: 0.25x
67.6 Scottish
30.0 South_&_Central_Swedish
2.4 German
Target: Grace
Distance: 2.4318% / 2.43184921
65.8 Scottish
31.2 South_&_Central_Swedish
3.0 German
For K13
Target: Grace
Distance: 2.7346% / 2.73459482 | ADC: 2x
73.2 North_Dutch
26.8 Irish
Target: Grace
Distance: 2.4590% / 2.45896827 | ADC: 1x
43.8 Irish
40.6 North_Dutch
15.6 Norwegian
Target: Grace
Distance: 2.2151% / 2.21513848 | ADC: 0.5x
53.2 Irish
38.4 Norwegian
8.0 North_Dutch
0.4 Tabassaran
Target: Grace
Distance: 1.8575% / 1.85746588 | ADC: 0.25x
47.4 Norwegian
37.0 West_Scottish
13.4 Irish
2.2 Tabassaran
Target: Grace
Distance: 1.8068% / 1.80683430
49.2 West_Scottish
48.0 Norwegian
2.8 Tabassaran
but it is better than k13 in your case. You are closer to Irish/Orcadian/Scottish cluster in EUtest than in k13. In k13 you are closer to Dutch from 2x adc results.
also try the pca tool: https://lemgrant.github.io/eutest2dpca/
Code:name,SOUTH_BALTIC,EAST_EURO,NORTH-CENTRAL_EURO,ATLANTIC,WEST_MED,EAST_MED,WEST_ASIAN,MIDDLE_EASTERN,SOUTH_ASIAN,EAST_AFRICAN,EAST_ASIAN,SIBERIAN,WEST_AFRICAN