Dodecad V3 -- Gedmatch -- Spreadsheet matching

[ScandinavianCelt]

I score 86.66% European on this one, with breakdown below. I'm curious to see how you guys score & compare on this one.

Find your closest matches by % on the spreadsheet to your Dodecad V3 results. Mine look accurate to my modern groups in general.

I used merged data for these results via Gedmatch platform. It works better for me than an individual data set.

Try it for fun and see what you get, at least for the European groups. It seems quite accurate to me.

I recommend finding your closest match for any result over 1%.

My results:

East_European 12.66 Pct
West_European 50.54 Pct
Mediterranean 23.46 Pct
Neo_African 0.12 Pct
West_Asian 8.74 Pct
South_Asian 2.25 Pct
Northeast_Asian 1.13 Pct
Southeast_Asian -
East_African -
Southwest_Asian 0.3 Pct
Northwest_African 0.63 Pct
Palaeo_African 0.16 Pct

My closest spreadsheet matches in bold for each in their given %:

East European 12.66%: Swedish 13%-- Greek 11.91%
West European 50.54%: Finnish 49.9%-- French 51.65%
Mediterranean 23.46%: Argyll (Scotland) 23.48% -- Cornwall 22.9%
West Asian 8.74%: Hungarians 8.4%-- Kyrgiz 9.5%
South Asian 2.25%: Assyrian 2.2%-- Tu & Turkish 2.3%
Northeast Asian 1.13%: Iranians & Vaish 1.2%-- Kurd/Brahui/Iban 1%

Post your top 5 4-way models too:

1 Norwegian_Dodecad + Romanians_14_Behar + Argyll_1000 Genomes + Argyll_1000 Genomes @ 2.508173
2 Norwegian_Dodecad + Orkney_1000 Genomes + Romanians_14_Behar + Argyll_1000 Genomes @ 2.509085
3 Balkans_Dodecad + Irish_Dodecad + Argyll_1000 Genomes + N._European_Xing @ 2.525482
4 Dutch_Dodecad + Romanians_14_Behar + Swedish_Dodecad + Argyll_1000 Genomes @ 2.527007
5 Balkans_Dodecad + Irish_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes @ 2.531058

https://i.postimg.cc/9FkXSnGR/dodecad-V3-res-pie-mrg-hghlt.jpg (https://postimg.cc/fJxhS5qD)

[cass]

DNAGenics

Components %
East_European 27.21
West_European 44.08
Mediterranean 21.49
Neo_African 0.00
West_Asian 6.29
South_Asian 0.00
Northeast_Asian 0.94
Southeast_Asian 0.00
East_African 0.00
Southwest_Asian 0.00
Northwest_African 0.00
Palaeo_African 0.00

1 25% CEU + 25% CEU + 25% Polish + 25% Mixed_Slav @ 1,321
2 25% Hungarians + 25% CEU + 25% CEU + 25% Lithuanians @ 1,337
3 25% Hungarians + 25% German + 25% Orcadian + 25% Belorussian @ 1,428
4 25% Hungarians + 25% German + 25% Argyll + 25% Belorussian @ 1,492
5 25% Slovenian + 25% German + 25% Orcadian + 25% Belorussian @ 1,628



gedmatch

# Population Percent
1 West_European 43.15
2 East_European 28.29
3 Mediterranean 20.38
4 West_Asian 7.28

1 CEU_HapMap + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad + Argyll_1000 Genomes @ 1.449432
2 CEU_HapMap + CEU_HapMap + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad @ 1.475412
3 Balkans_Dodecad + Lithuanian_Dodecad + Orkney_1000 Genomes + Argyll_1000 Genomes @ 1.568511
4 Balkans_Dodecad + Lithuanian_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes @ 1.574458
5 Cornwall_1000 Genomes + Hungarians_Behar + Hungarians_Behar + Lithuanians_Behar @ 1.586470


It seems Dienekes has long ago abandoned this strange project

[ScandinavianCelt]

DNAGenics

Components %
East_European 27.21
West_European 44.08
Mediterranean 21.49
Neo_African 0.00
West_Asian 6.29
South_Asian 0.00
Northeast_Asian 0.94
Southeast_Asian 0.00
East_African 0.00
Southwest_Asian 0.00
Northwest_African 0.00
Palaeo_African 0.00

1 25% CEU + 25% CEU + 25% Polish + 25% Mixed_Slav @ 1,321
2 25% Hungarians + 25% CEU + 25% CEU + 25% Lithuanians @ 1,337
3 25% Hungarians + 25% German + 25% Orcadian + 25% Belorussian @ 1,428
4 25% Hungarians + 25% German + 25% Argyll + 25% Belorussian @ 1,492
5 25% Slovenian + 25% German + 25% Orcadian + 25% Belorussian @ 1,628



gedmatch

# Population Percent
1 West_European 43.15
2 East_European 28.29
3 Mediterranean 20.38
4 West_Asian 7.28

1 CEU_HapMap + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad + Argyll_1000 Genomes @ 1.449432
2 CEU_HapMap + CEU_HapMap + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad @ 1.475412
3 Balkans_Dodecad + Lithuanian_Dodecad + Orkney_1000 Genomes + Argyll_1000 Genomes @ 1.568511
4 Balkans_Dodecad + Lithuanian_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes @ 1.574458
5 Cornwall_1000 Genomes + Hungarians_Behar + Hungarians_Behar + Lithuanians_Behar @ 1.586470


It seems Dienekes has long ago abandoned this strange project

your matches??? -- SPANIARDS, BALKANS, IRISH, LODHI(PAK)/CEU

West Euro:

68.37 Norwegian
68.26 Irish
66.1 Swedish
65.8 Cornwall
65.63 British_Isles
65.47 British
63.8 Kent
61.6 Dutch
60.2 Mixed_Germanic
56.46 Orkney
56.16 Orcadian
55.64 FIN
55.54 Argyll
54.2 N._European
53.9 CEU
52.65 German
52.25 French_Basque
52.05 French
51.65 French
49.9 Finnish
42.34 Spaniards
40.72 Spanish
39.9 Slovenian
39.8 IBS
39.4 Portuguese
37 Hungarians
34.53 Polish
33.53 N_Italian
33.2 Lithuanians
32.87 North_Italian
32.7 Mixed_Slav
32.2 Lithuanian
31.7 Russian
31.63 Russian
30.8 TSI
30.4 Tuscan
30.33 Sardinian
29.6 Tuscan
27.8 Belorussian
26 O_Italian
25.77 Tuscan
24.82 Balkans
24.32 Lezgins
22.75 Urkarah
22.42 Romanians_14
22.22 Chuvashs_16
22.02 Stalskoe
20.6 C_Italian
19.8 Ashkenazy_Jews
19.02 Ashkenazi
18.7 Selkup
15.7 Adygei
14.9 S_Italian_Sicilian
14.4 Yukagir
13.79 Morocco_Jews
13.01 Greek
12.61 Sicilian
12.5 Pathan
12.31 Vaish
12 Kalash
12 S_Italian
11.32 Burusho
10.71 Uzbeks
10.41 ASW
10.21 Pakistani
9.5 Uygur
9.5 Morocco_N
9.33 Altai
9.21 Sindhi
9.1 Kyrgyzstani
9.02 Indian
8.6 Meghawal
8.5 Kashmiri_Pandit
8.49 Sephardic_Jews
8.39 AP_Brahmin
8.1 Hazara
7.69 Kurd
7.62 Nepalese
7.31 Uzbekistan_Jews
7.21 Algeria
7.19 Turkish
7.1 Dolgan
7.09 Balochi
7.01 Brahui
6.99 TN_Brahmin
6.9 Srivastava
6.79 GIH
6.7 Lodi
6.51 Tharu
6 Iranian
5.89 Kurd
5.79 Makrani
5.5 Cochin_Jews
5.5 INS
5.41 Turks
5.01 Georgia_Jews
5 Georgians
5 Iranians
4.9 Azerbaijan_Jews
4.9 Mongol
4.7 Chenchu
4.4 Libya
4.4 Madiga
4.3 Bnei_Menashe_Jews
4.2 North_African
4.2 TUNISIA
4 Tuva
3.9 SAN_SA
3.79 Morocco_S
3.7 AP_Mala
3.5 Bhil
3.5 Naidu
3.5 Satnami
3.3 Hallaki
2.9 Sahariya
2.7 Iranian_Jews
2.6 Druze
2.59 Kamsali
2.3 Palestinian
2.1 Armenian
2.1 Iraq_Jews
2.1 Saudis
2 Yakut
1.9 Nganassan_12
1.9 Buryat
1.8 Armenians_16
1.8 Syrians
1.8 Mala
1.7 Buryat
1.6 Samaritians
1.6 Thai
1.6 TN_Dalit
1.5 AP_Madiga
1.4 Mozabite
1.4 North_Kannadi
1.4 Sahara_OCC
1.4 Velama
1.3 Cypriots
1.3 Egypt
1.3 Mozabite
1.2 Lebanese
1.2 Siddi
1.1 Bedouin
1.1 Santhal
1 Xibo
1 Kurumba
0.9 Yemenese
0.9 Vysya
0.7 Assyrian
0.7 Evenk_15
0.7 Jordanians_19
0.6 Mongola
0.6 Irula
0.6 Sotho_Tswana
0.5 Vietnamese
0.5 Kharia
0.4 MAS
0.4 Tu
0.4 Hema
0.3 Cambodians
0.3 Iban
0.2 Fulani
0.2 Mandenka
0.2 Khmer_Cambodian
0.2 Pedi
0.1 CHD
0.1 Daur
0.1 Moroccans
0.1 Oroqen
0.1 Yemen_Jews
0.1 Maasai
0.1 SANDAWE
0.1 !Kung
0.1 Luhya
0.1 Pygmy
0 Biaka_Pygmies
0 CHB
0 Chinese
0 CHS
0 Chukchi_11
0 Dai
0 East_African
0 Egyptans
0 Ethiopian_Jews
0 Ethiopians
0 Han
0 Hezhen
0 Japanese
0 Japanese
0 Bamoun
0 BiakaPygmy
0 JPT
0 Korean
0 Koryak_15
0 Lahu
0 LWK
0 Mandenka
0 Mbuti_Pygmies
0 Miaozu
0 MKK
0 Naxi
0 San
0 She
0 Tujia
0 Yizu
0 Yoruba
0 YRI
0 Brong
0 Bulala
0 Fang
0 HADZA
0 Hausa
0 Igbo
0 Kaba
0 Kongo
0 Luhya
0 Mada
0 MbutiPygmy
0 SAN_NB
0 Xhosa
0 Yoruba
0 Alur
0 Bambaran
0 Dogon
0 Nguni
0 Aonaga
0 Nysha

East Euro:

61.5 Lithuanian
59.2 Lithuanians
55.1 Belorussian
49.3 Russian
47.95 Russian
44.34 Polish
44 Mixed_Slav
43.64 Chuvashs_16
38.6 Finnish
29.77 FIN
27.93 Balkans
26.4 Hungarians
23.32 Romanians_14
22.4 Slovenian
16.88 German
14 Selkup
13.1 Yukagir
13 Swedish
11.91 Greek
11.59 Argyll
11.2 CEU
11.11 Orcadian
11.01 Orkney
10.8 N._European
10.21 Uzbeks
9.61 Norwegian
8.7 Kashmiri_Pandit
8.6 Dolgan
8.58 Urkarah
8.4 Uygur
8.1 Srivastava
7.92 Altai
7.41 Vaish
7.2 Kyrgyzstani
7.01 Pakistani
7.01 Stalskoe
7 Pathan
6.7 Adygei
6.7 Hazara
6.41 Burusho
6 Meghawal
5.89 Turkish
5.81 Tuva
5.8 Mixed_Germanic
5.71 N_Italian
5.71 Turks
5.59 TN_Brahmin
5.51 Sindhi
5.51 Nepalese
5.41 Indian
5.4 Lodi
5.09 GIH
5.01 French
5 AP_Brahmin
4.9 Mongol
4.81 AP_Madiga
4.8 Ashkenazy_Jews
4.8 Balochi
4.8 Satnami
4.7 Dutch
4.7 INS
4.7 Tuscan
4.6 Bhil
4.5 Tuscan
4.4 Sicilian
4.4 Kurd
4.4 Chenchu
4.2 Brahui
4.11 Tharu
4.1 Georgians
4.1 Yakut
4.1 Sahariya
4 Cochin_Jews
4 Kurd
4 TSI
4 Hallaki
3.9 C_Italian
3.9 French
3.9 Iranian
3.8 Kalash
3.8 Lezgins
3.8 Makrani
3.71 North_Italian
3.7 Ashkenazi
3.7 Kent
3.7 Tuscan
3.7 Buryat
3.6 O_Italian
3.5 Buryat
3.5 Evenk_15
3.41 Kurumba
3.4 British_Isles
3.4 Cypriots
3.4 Xibo
3.3 Mala
3.1 Cambodians
3.1 Mongola
3.1 S_Italian
3 Bnei_Menashe_Jews
3 North_Kannadi
3 S_Italian_Sicilian
3 Tu
3 Uzbekistan_Jews
3 Vysya
2.9 Velama
2.6 British
2.51 Siddi
2.5 Lebanese
2.5 AP_Mala
2.5 TN_Dalit
2.5 Madiga
2.4 Nganassan_12
2.4 Thai
2.3 Syrians
2.2 Sephardic_Jews
2.1 Daur
2.1 Iranians
2.1 Irish
2.1 Kamsali
2 Naidu
1.9 MAS
1.8 Cornwall
1.7 ASW
1.7 Georgia_Jews
1.7 Portuguese
1.7 Kharia
1.7 Santhal
1.6 Spanish
1.6 Nysha
1.5 Armenians_16
1.5 IBS
1.5 Oroqen
1.4 Irula
1.3 Lahu
1.2 Hezhen
1.1 Naxi
1 Jordanians_19
1 Spaniards
1 SAN_SA
1 Iban
0.9 Azerbaijan_Jews
0.9 Chukchi_11
0.9 Dai
0.9 Iranian_Jews
0.9 Japanese
0.9 Yizu
0.9 Egypt
0.9 Morocco_S
0.9 Aonaga
0.8 Armenian
0.8 Chinese
0.8 North_African
0.7 Egyptans
0.7 Morocco_Jews
0.6 French_Basque
0.6 Korean
0.6 Miaozu
0.6 She
0.6 Tujia
0.6 Mozabite
0.6 Hema
0.6 Vietnamese
0.5 Algeria
0.5 Moroccans
0.5 Saudis
0.5 Yemenese
0.4 Bedouin
0.4 Druze
0.4 Han
0.4 Iraq_Jews
0.4 Mozabite
0.4 Libya
0.3 Assyrian
0.3 East_African
0.3 Palestinian
0.3 Morocco_N
0.3 SANDAWE
0.3 Pedi
0.2 Japanese
0.2 Yemen_Jews
0.2 Maasai
0.2 Sahara_OCC
0.2 !Kung
0.2 Khmer_Cambodian
0.1 Ethiopian_Jews
0.1 Koryak_15
0.1 Samaritians
0.1 Fulani
0.1 Mandenka
0.1 SAN_NB
0.1 Xhosa
0.1 Sotho_Tswana
0 Biaka_Pygmies
0 CHB
0 CHD
0 CHS
0 Ethiopians
0 Bamoun
0 BiakaPygmy
0 JPT
0 LWK
0 Mandenka
0 Mbuti_Pygmies
0 MKK
0 San
0 Sardinian
0 Yoruba
0 YRI
0 Brong
0 Bulala
0 Fang
0 HADZA
0 Hausa
0 Igbo
0 Kaba
0 Kongo
0 Luhya
0 Mada
0 MbutiPygmy
0 TUNISIA
0 Yoruba
0 Alur
0 Bambaran
0 Dogon
0 Luhya
0 Nguni
0 Pygmy

Mediterranean:

55.56 Sardinian
49.7 North_Italian
48.2 Spanish
48 IBS
47.75 Tuscan
47.55 Spaniards
46.8 S_Italian
46.45 Sicilian
45.55 French_Basque
44.9 C_Italian
44.74 N_Italian
44.6 S_Italian_Sicilian
43.86 Sephardic_Jews
43.8 Portuguese
43.64 Greek
42.9 Cypriots
42.6 O_Italian
37.6 TSI
37.5 Tuscan
36.8 Tuscan
35.36 Morocco_Jews
34.73 French
34.43 Ashkenazi
33.87 French
33.43 Romanians_14
33.1 Ashkenazy_Jews
32.2 Samaritians
31.7 North_African
31.53 Druze
31.43 TUNISIA
31.13 Balkans
28.97 Armenian
28.8 Lebanese
28.4 Armenians_16
28.4 Morocco_N
28.27 Turkish
28.17 Iraq_Jews
27.37 Palestinian
27.13 Moroccans
27 Azerbaijan_Jews
26.93 Iranian_Jews
26.9 Jordanians_19
26.35 Assyrian
25.95 Egypt
25.7 CEU
25.63 Georgia_Jews
25.43 Turks
25.4 Hungarians
24.82 Orcadian
24.65 Algeria
24.42 Orkney
24.12 Uzbekistan_Jews
23.78 Syrians
23.6 Dutch
23.6 Slovenian
23.5 Kent
23.48 Argyll
22.9 Cornwall
22.82 British
22.8 Egyptans
22.8 Libya
22.8 N._European
22.38 British_Isles
22.2 Mixed_Germanic
22.08 German
21.52 Sahara_OCC
21.48 Kurd
21 Bedouin
20.56 Irish
19.28 Kurd
18.86 Morocco_S
17.02 Polish
17 Georgians
15.72 Yemenese
15.4 Iranian
15.4 Mixed_Slav
14.91 Norwegian
14.89 Iranians
14.81 Stalskoe
14.2 Belorussian
13.71 Bnei_Menashe_Jews
13.6 Swedish
12.51 Yemen_Jews
11.68 Urkarah
10.21 Russian
9.61 Fulani
9.19 Balochi
9.19 Makrani
8.91 Brahui
8.3 Adygei
8.3 Cochin_Jews
8.09 FIN
7.8 Pathan
7 Lithuanians
6.91 Pakistani
6.61 Sindhi
6.5 Mozabite
6.4 Kashmiri_Pandit
6.3 Saudis
6.1 Mozabite
6.09 Naidu
6 Yukagir
5.7 Russian
5.4 Lithuanian
5.2 Hazara
5 TN_Dalit
4.99 TN_Brahmin
4.91 Burusho
4.9 Hallaki
4.9 Velama
4.81 Tharu
4.8 Vaish
4.6 AP_Brahmin
4.59 Kamsali
4.51 Nepalese
4.5 GIH
4.4 INS
4.31 Indian
4.3 Bhil
4.3 Mala
4.2 AP_Mala
4.2 Vysya
4 Meghawal
3.71 Kurumba
3.7 East_African
3.6 ASW
3.6 Lodi
3.5 Uzbeks
3.4 Satnami
3.3 North_Kannadi
3.2 Chenchu
3.01 AP_Madiga
3 Dolgan
3 SAN_SA
2.8 Mongol
2.8 Sahariya
2.5 Finnish
2.4 Irula
2.4 Kyrgyzstani
2.3 Siddi
2.2 Srivastava
2 Ethiopians
1.8 Ethiopian_Jews
1.7 Madiga
1.7 Santhal
1.3 Buryat
1.3 Uygur
1.3 Yakut
1.1 Altai
1.1 Chuvashs_16
1.1 Lezgins
1.1 Selkup
1 Buryat
0.8 Nganassan_12
0.8 Khmer_Cambodian
0.8 Kharia
0.7 SAN_NB
0.6 Evenk_15
0.6 Xibo
0.6 Thai
0.5 Mongola
0.5 Mandenka
0.5 Sotho_Tswana
0.4 Kalash
0.4 Tu
0.4 Tuva
0.4 Hema
0.4 Vietnamese
0.3 Maasai
0.3 SANDAWE
0.3 Pedi
0.2 Cambodians
0.2 Daur
0.2 MAS
0.2 San
0.2 Iban
0.1 Oroqen
0.1 Hausa
0.1 Igbo
0.1 !Kung
0.1 Dogon
0 Biaka_Pygmies
0 CHB
0 CHD
0 Chinese
0 CHS
0 Chukchi_11
0 Dai
0 Han
0 Hezhen
0 Japanese
0 Japanese
0 Bamoun
0 BiakaPygmy
0 JPT
0 Korean
0 Koryak_15
0 Lahu
0 LWK
0 Mandenka
0 Mbuti_Pygmies
0 Miaozu
0 MKK
0 Naxi
0 She
0 Tujia
0 Yizu
0 Yoruba
0 YRI
0 Brong
0 Bulala
0 Fang
0 HADZA
0 Kaba
0 Kongo
0 Luhya
0 Mada
0 MbutiPygmy
0 Xhosa
0 Yoruba
0 Alur
0 Bambaran
0 Luhya
0 Nguni
0 Pygmy
0 Aonaga
0 Nysha

West Asian:

72.3 Georgians
64.66 Lezgins
62.9 Adygei
57.5 Armenians_16
53.95 Armenian
50.7 Assyrian
49.3 Iranian
47.11 Urkarah
45.45 Turks
45.35 Iranians
43.4 Azerbaijan_Jews
42.9 Kalash
42.16 Kurd
41.76 Kurd
41.26 Iraq_Jews
41.06 Turkish
40.74 Druze
40.64 Iranian_Jews
38.94 Georgia_Jews
38.94 Stalskoe
38.44 Uzbekistan_Jews
35.46 Makrani
35.2 Samaritians
35.1 Cypriots
34.83 Brahui
33.57 Balochi
33.57 Syrians
32.4 Lebanese
30.57 Palestinian
29.3 Jordanians_19
26 S_Italian
25.6 Pathan
25.53 Uzbeks
25.13 Greek
24.52 Ashkenazi
24.3 S_Italian_Sicilian
23.98 Morocco_Jews
23.8 Ashkenazy_Jews
23.5 Kashmiri_Pandit
23.48 Sephardic_Jews
22.85 Burusho
22.72 Sicilian
22.52 Sindhi
22.32 Pakistani
21.6 C_Italian
21.22 Bnei_Menashe_Jews
20.5 Uygur
20 Bedouin
19.32 Yemenese
19.2 TSI
19.06 Egypt
19 O_Italian
18.6 Tuscan
18.4 Hazara
17.8 Tuscan
17.28 Tuscan
16.22 Romanians_14
15.2 Egyptans
15 Velama
14.6 Cochin_Jews
14.5 Meghawal
13.37 TN_Brahmin
13.01 Balkans
12.91 N_Italian
12.63 Nepalese
12.53 Indian
12.31 Vaish
12.2 Srivastava
11.99 AP_Brahmin
11.9 Saudis
11.52 North_Italian
11.51 Yemen_Jews
9.9 Libya
9.89 GIH
9.8 Mixed_Germanic
9.8 Slovenian
9.5 INS
9.5 Kyrgyzstani
8.4 Hungarians
8.21 Chuvashs_16
7.89 Argyll
7.7 Dutch
7.7 N._European
7.5 Kent
7.41 Tharu
7.4 Cornwall
7.31 Vysya
7.3 CEU
7.3 Lodi
7.19 French
7.01 Orcadian
6.82 Altai
6.81 Orkney
6.71 British
6.7 Hallaki
6.69 British_Isles
6.69 Irish
6.49 German
6.39 Naidu
5.7 Mongol
5.41 French
5.21 Algeria
5.2 Mixed_Slav
4.7 Tuva
4.69 Kamsali
4.6 Sardinian
4.6 Swedish
4.31 Siddi
4.3 Russian
4 Buryat
4 North_African
4 Norwegian
3.9 Morocco_N
3.8 Russian
3.3 Spaniards
3.3 Buryat
3.21 Kurumba
3.2 Dolgan
3.2 IBS
3.2 Polish
2.9 Portuguese
2.8 Yakut
2.5 TN_Dalit
2.5 Madiga
2.4 Spanish
2.3 Tu
2.3 Satnami
2.2 TUNISIA
2.1 Bhil
1.9 Yukagir
1.9 AP_Madiga
1.8 Mongola
1.7 Belorussian
1.7 Xibo
1.5 Selkup
1.4 Evenk_15
1.4 Mozabite
1.3 North_Kannadi
1.2 East_African
1.1 Mozabite
1 French_Basque
1 Mala
0.8 Finnish
0.7 Daur
0.7 Nganassan_12
0.7 AP_Mala
0.6 Lithuanian
0.6 Sahara_OCC
0.5 ASW
0.5 Lithuanians
0.5 Thai
0.4 Ethiopians
0.4 MAS
0.4 Hema
0.3 Ethiopian_Jews
0.3 FIN
0.3 Morocco_S
0.3 Sotho_Tswana
0.3 Sahariya
0.2 Cambodians
0.2 Hezhen
0.2 SAN_SA
0.2 Iban
0.2 Aonaga
0.2 Chenchu
0.1 CHB
0.1 Han
0.1 MKK
0.1 Hausa
0.1 Luhya
0.1 Maasai
0.1 Mandenka
0.1 SANDAWE
0.1 Irula
0.1 Nysha
0 Biaka_Pygmies
0 CHD
0 Chinese
0 CHS
0 Chukchi_11
0 Dai
0 Japanese
0 Japanese
0 Bamoun
0 BiakaPygmy
0 JPT
0 Korean
0 Koryak_15
0 Lahu
0 LWK
0 Mandenka
0 Mbuti_Pygmies
0 Miaozu
0 Moroccans
0 Naxi
0 Oroqen
0 San
0 She
0 Tujia
0 Yizu
0 Yoruba
0 YRI
0 Brong
0 Bulala
0 Fang
0 Fulani
0 HADZA
0 Igbo
0 Kaba
0 Kongo
0 Mada
0 MbutiPygmy
0 SAN_NB
0 Xhosa
0 Yoruba
0 !Kung
0 Alur
0 Bambaran
0 Dogon
0 Khmer_Cambodian
0 Luhya
0 Nguni
0 Pedi
0 Pygmy
0 Vietnamese
0 Kharia
0 Santhal

[cass]

your matches??? -- SPANIARDS, BALKANS, IRISH




This makes no sense to me ;)

Mixed Mode looks more real

Mixed Mode:
1 52,73% CEU + 47,27% Mixed_Slav @ 1,204
2 51,17% CEU + 48,83% Polish @ 1,528
3 51,17% Orcadian + 48,83% Mixed_Slav @ 1,551
4 63,67% CEU + 36,33% Belorussian @ 1,573
5 50,39% Mixed_Slav + 49,61% CEU @ 1,635
6 50,39% Mixed_Slav + 49,61% Orcadian @ 1,646
7 50,39% Polish + 49,61% CEU @ 1,675
8 50,39% Orkney + 49,61% Mixed_Slav @ 1,828
9 50,39% Mixed_Slav + 49,61% Orkney @ 1,881
10 51,17% Argyll + 48,83% Polish @ 2,066

[ScandinavianCelt]

This makes no sense to me ;)

Mixed Mode looks more real

Mixed Mode:
1 52,73% CEU + 47,27% Mixed_Slav @ 1,204
2 51,17% CEU + 48,83% Polish @ 1,528
3 51,17% Orcadian + 48,83% Mixed_Slav @ 1,551
4 63,67% CEU + 36,33% Belorussian @ 1,573
5 50,39% Mixed_Slav + 49,61% CEU @ 1,635
6 50,39% Mixed_Slav + 49,61% Orcadian @ 1,646
7 50,39% Polish + 49,61% CEU @ 1,675
8 50,39% Orkney + 49,61% Mixed_Slav @ 1,828
9 50,39% Mixed_Slav + 49,61% Orkney @ 1,881
10 51,17% Argyll + 48,83% Polish @ 2,066


It is showing you have closest % match of Eastern Euro to Balkans, Western Euro to Spaniards, and you match Irish to Mediterranean %. It is not saying you are Spanish-Balkanic-Irish, necessarily, which is why I said to post your 4-way results to compare. My matches are, actually, what my background is though, at least for Europe, and those other groups do show up normally on calcs for me.

[ScandinavianCelt]

This makes no sense to me ;)

Mixed Mode looks more real

Mixed Mode:
1 52,73% CEU + 47,27% Mixed_Slav @ 1,204
2 51,17% CEU + 48,83% Polish @ 1,528
3 51,17% Orcadian + 48,83% Mixed_Slav @ 1,551
4 63,67% CEU + 36,33% Belorussian @ 1,573
5 50,39% Mixed_Slav + 49,61% CEU @ 1,635
6 50,39% Mixed_Slav + 49,61% Orcadian @ 1,646
7 50,39% Polish + 49,61% CEU @ 1,675
8 50,39% Orkney + 49,61% Mixed_Slav @ 1,828
9 50,39% Mixed_Slav + 49,61% Orkney @ 1,881
10 51,17% Argyll + 48,83% Polish @ 2,066

good

You are about 7% more European than me, and I get 7% more Asian, with small amounts of African too.

I just realized my Western Euro % is closer to the Finnish % than the French %: 49.9% vs 51.65% -- I am 50.54%

Mixed mode w/DNAGenics app:

Mixed Mode:
1 87.89% Argyll + 12.11% Romanians_14 @ 2.072

[Gannicus]

My merged file:

# Population Percent
1 West_European 53.21
2 Mediterranean 27.18
3 West_Asian 8.04
4 East_European 7.30
5 Southwest_Asian 2.41
6 Northwest_African 1.02

Using 2 populations approximation:
1 50% French_HGDP +50% N._European_Xing @ 1.529082


Using 3 populations approximation:
1 50% French_HGDP +25% Irish_Dodecad +25% Slovenian_Xing @ 1.487074


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++
1 French_HGDP + Norwegian_Dodecad + Swedish_Dodecad + Tuscan_HGDP @ 0.867210
2 French_Dodecad + Norwegian_Dodecad + Swedish_Dodecad + Tuscan_HGDP @ 1.126485
3 Mixed_Germanic_Dodecad + North_Italian_HGDP + Norwegian_Dodecad + N._European_Xing @ 1.152830
4 French_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + O_Italian_Dodecad @ 1.162287
5 French_Basque_HGDP + Swedish_Dodecad + Swedish_Dodecad + Tuscan_Xing @ 1.266757
6 British_Dodecad + Orkney_1000 Genomes + Swedish_Dodecad + Tuscan_HGDP @ 1.270769
7 British_Isles_Dodecad + Norwegian_Dodecad + Tuscan_HGDP + N._European_Xing @ 1.277356
8 French_HGDP + Norwegian_Dodecad + Norwegian_Dodecad + Tuscan_HGDP @ 1.278440
9 French_Dodecad + Norwegian_Dodecad + O_Italian_Dodecad + Swedish_Dodecad @ 1.303259
10 French_Basque_HGDP + Swedish_Dodecad + Swedish_Dodecad + TSI_HapMap @ 1.316091

[ScandinavianCelt]

My merged file:

# Population Percent
1 West_European 53.21
2 Mediterranean 27.18
3 West_Asian 8.04
4 East_European 7.30
5 Southwest_Asian 2.41
6 Northwest_African 1.02

Using 2 populations approximation:
1 50% French_HGDP +50% N._European_Xing @ 1.529082


Using 3 populations approximation:
1 50% French_HGDP +25% Irish_Dodecad +25% Slovenian_Xing @ 1.487074


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++
1 French_HGDP + Norwegian_Dodecad + Swedish_Dodecad + Tuscan_HGDP @ 0.867210
2 French_Dodecad + Norwegian_Dodecad + Swedish_Dodecad + Tuscan_HGDP @ 1.126485
3 Mixed_Germanic_Dodecad + North_Italian_HGDP + Norwegian_Dodecad + N._European_Xing @ 1.152830
4 French_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + O_Italian_Dodecad @ 1.162287
5 French_Basque_HGDP + Swedish_Dodecad + Swedish_Dodecad + Tuscan_Xing @ 1.266757
6 British_Dodecad + Orkney_1000 Genomes + Swedish_Dodecad + Tuscan_HGDP @ 1.270769
7 British_Isles_Dodecad + Norwegian_Dodecad + Tuscan_HGDP + N._European_Xing @ 1.277356
8 French_HGDP + Norwegian_Dodecad + Norwegian_Dodecad + Tuscan_HGDP @ 1.278440
9 French_Dodecad + Norwegian_Dodecad + O_Italian_Dodecad + Swedish_Dodecad @ 1.303259
10 French_Basque_HGDP + Swedish_Dodecad + Swedish_Dodecad + TSI_HapMap @ 1.316091

find your matches!

you and I have very similar amounts of Euro-Asian-African

[Gannicus]

find your matches!

you and I have very similar amounts of Euro-Asian-African

KB7910696

Here's my merged file kit number if you want to show me what you are talking about. Plus any other insights

[ScandinavianCelt]

KB7910696

Here's my merged file kit number if you want to show me what you are talking about. Plus any other insights

I put the ordered list of results in response to cass here, so just match your results under each category to your closest group, as i showed in the original post

example:

your 53.21 fits here-- and which are you closest to of these two with that 53.21?

53.9 CEU
52.65 German

that would be your closest match to the amount of Western European genes you have -- slightly closer to German than any other group

your 27.18% amount of Mediterranean matches you between these, closest to Moroccans

27.37 Palestinian
27.13 Moroccans

[ScandinavianCelt]

KB7910696

Here's my merged file kit number if you want to show me what you are talking about. Plus any other insights

my 23andMe data matches your kit like this:

Largest segment = 5.9 cM

Total Half-Match segments (HIR) 109.3cM (3.047 Pct)

28 shared segments found for this comparison.


Our largest segment is found on chromosome 20. It isn't the purpose of this thread, but just letting you know. I'll run more tests on it when I have time sometime soon. I think you're the first insular-American person I've tried to match my kit to here on the forum.

Half-match means we share on one strand of the chromosome on that segment....i.e. one parent of mine.

[Gannicus]

my 23andMe data matches your kit like this:

Largest segment = 5.9 cM

Total Half-Match segments (HIR) 109.3cM (3.047 Pct)

28 shared segments found for this comparison.


Our largest segment is found on chromosome 20. It isn't the purpose of this thread, but just letting you know. I'll run more tests on it when I have time sometime soon. I think you're the first insular-American person I've tried to match my kit to here on the forum.

Half-match means we share on one strand of the chromosome on that segment....i.e. one parent of mine.

Interesting! looking at Ancestry my 4th cousins are 8 cM. 5th or 6th cousin maybe?

[ScandinavianCelt]

Interesting! looking at Ancestry my 4th cousins are 8 cM. 5th or 6th cousin maybe?

Gedmatch has a section called Relationship Probability. Since our shared segments are "half-match", we can assume full match would be half the total of our half-match, or, roughly 55 cM. They predict this:

Relationship Probabilities for 55 shared cM

Relationship Type Probability Sub-Group Probability

3C1R Group 24.9%
3C1R, Half-3C, Half-2C2R, 2C3R
24.9%
4C Group 21.2%
4C, 3C2R, Half-3C1R, Half-2C3R
21.2%
3C Group 20.6%
3C, 2C2R, Half-2C1R, Half-1C3R
20.6%
4C1R Group 10.8%
4C1R, Half-4C, Half-3C2R, 3C3R
10.8%
5C Group 6.5%
5C, 4C2R, Half-4C1R, Half-3C3R
6.5%

Unless you are Swedish or French-Canadian, I'd say we share 2nd or 3rd great grandparents on my Dad's Mom's side. Do you know any of your American genealogy? I know some of mine, but there are some gaps due to records being burned in the south. Grandma was from NC, with roughly 2/3 of her ancestry coming from Virginia and England before that. About 1/3 of her ancestry came directly from Ireland, Scotland, and Wales. The tricky part is, a lot of her English ancestry was not English if you go back 1-2 generations before they left England-- they were coming from those other places just mentioned. I've hit a brick wall trying to find records for the Falkner/Faulkner lines, as well as Asque/Ascue/Ayscue, all down in North Carolina.

[Gannicus]

Gedmatch has a section called Relationship Probability. Since our shared segments are "half-match", we can assume full match would be half the total of our half-match, or, roughly 55 cM. They predict this:

Relationship Probabilities for 55 shared cM

Relationship Type Probability Sub-Group Probability

3C1R Group 24.9%
3C1R, Half-3C, Half-2C2R, 2C3R
24.9%
4C Group 21.2%
4C, 3C2R, Half-3C1R, Half-2C3R
21.2%
3C Group 20.6%
3C, 2C2R, Half-2C1R, Half-1C3R
20.6%
4C1R Group 10.8%
4C1R, Half-4C, Half-3C2R, 3C3R
10.8%
5C Group 6.5%
5C, 4C2R, Half-4C1R, Half-3C3R
6.5%

Unless you are Swedish or French-Canadian, I'd say we share 2nd or 3rd great grandparents on my Dad's Mom's side. Do you know any of your American genealogy? I know some of mine, but there are some gaps due to records being burned in the south. Grandma was from NC, with roughly 2/3 of her ancestry coming from Virginia and England before that. About 1/3 of her ancestry came directly from Ireland, Scotland, and Wales. The tricky part is, a lot of her English ancestry was not English if you go back 1-2 generations before they left England-- they were coming from those other places just mentioned. I've hit a brick wall trying to find records for the Falkner/Faulkner lines, as well as Asque/Ascue/Ayscue, all down in North Carolina.

I have traced some lines. And to date I don't have any ancestors in my tree with those last names. The connection may come from a common ancestor that hadn't migrated to North America. I have a great grandmother on mom's side that immigrated to the U.S. in the early 1900s from Scotland (Lanarkshire area. Scots-Irish)

[ScandinavianCelt]

I have traced some lines. And to date I don't have any ancestors in my tree with those last names. The connection may come from a common ancestor that hadn't migrated to North America. I have a great grandmother on mom's side that immigrated to the U.S. in the early 1900s from Scotland (Lanarkshire area. Scots-Irish)

This is our K36 result with K36 raw regional calc based on 28 shared segments, 109 cM shared:


Target: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
Distance: 21.4485% / 21.44853345
61.0 Faroese
30.5 German_County_Glatz
8.3 German_Lower_Silesia
0.2 Finnish_Northeast

Keep in mind we have "half-match" segments matching, so half of this result would not apply. I'm guessing we share Faroese. Of all the people I share DNA with, you plot furthest NW with me, overall, with our GPS plot landing in Schleswig-Saxon-Germany, just south of the border of Denmark. But Faroese makes sense as the other data results are pulling that plot southeast.

This is the raw K36 result for our shared data:

Components %
Amerindian 0.00
Arabian 0.00
Armenian 0.00
Basque 1.42
Central_African 0.00
Central_Euro 3.18
East_African 0.00
East_Asian 0.00
East_Balkan 21.36
East_Central_Asian 0.00
East_Central_Euro 4.94
East_Med 0.00
Eastern_Euro 0.00
Fennoscandian 14.61
French 10.28
Iberian 0.00
Indo-Chinese 0.00
Italian 0.00
Malayan 0.00
Near_Eastern 0.00
North_African 0.00
North_Atlantic 22.48
North_Caucasian 0.00
North_Sea 18.05
Northeast_African 0.00
Oceanian 0.00
Omotic 0.00
Pygmy 0.00
Siberian 0.00
South_Asian 0.00
South_Central_Asian 0.00
South_Chinese 0.00
Volga-Ural 0.00
West_African 0.00
West_Caucasian 3.68
West_Med 0.00

https://i.postimg.cc/J0KWJngn/Vahaduo-Global-25-Views-2025-02-04-T143638-771.png (https://postimages.org/)

https://i.postimg.cc/D07T8sxH/Vahaduo-Global-25-Views-2025-02-04-T143730-922.png (https://postimages.org/)

our ancient, closest 25 using raw K36 ancient individuals:

Distance to: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
20.91161878 Germany_Tiefbrunn_Corded_Ware_4094_YBP_RISE435
22.01276675 Slovakia_Tes_Mlynany:R2208___AD_300
22.37376142 Szolad_SZ7_Langobard
23.21864122 Szolad_SZ25_Langobard
23.24985161 Szolad_SZ13_Langobard
23.32112133 Srubnaya_KZB001
23.35574448 Szolad_SZ4_Langobard
23.89147965 Collegno_CL92_Langobard
23.97386285 Collegno_CL146_Langobard
24.54631133 Poland_Weklice:R11391___AD_85
24.92340266 Sweden_Battle_Axe_RISE98
25.01276674 Szolad_SZ2_Langobard
25.18827902 Poland_RISE577
25.31248111 Poland_RISE150_Przeclawice_3469_years_U5a1b1
25.31969392 Slovakia_Zohor:R2204___AD_150
25.60146675 Sweden_Battle_Axe_RISE94
25.79475722 Unetice_I0164
25.93311589 Szolad_SZ11_Langobard
26.36686367 Early_Medieval_Czech_RISE569_K36
26.37842490 Sweden_Malmo_Nordic_IA_RISE174
26.43375115 Slovakia_DA119
26.50073584 Sarmatian_Early_PR9
26.52400799 Srubnaya_KZB009
26.60990229 Estonia_RISE00
26.64967730 Poland_Weklice:R10625___AD_85


Target: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
Distance: 13.5898% / 13.58976453
41.5 Germany_Tiefbrunn_Corded_Ware_4094_YBP_RISE435
15.2 Pannonia_Maros_Bronze_Age_3650_YBP_RISE371
11.8 Denmark_Marbjerg_RISE42
11.1 Germany_Tiefbrunn_Corded_Ware_4161_YBP_RISE434
5.6 Hungary__P1_Polgar_Ferenci_hat_6300_6100_years_N
3.9 Finland_Levanluhta_JK1968
3.1 Sweden_Angamollan_3100_YBP_RISE207
2.8 Darkveti-Meshoko_I2055
2.2 Sarmatian_Early_PR9
1.5 Hungary_KO1
1.3 Sweden_Neolithic_Motala9



regional k36, raw:

Distance to: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
22.68690151 Faroese
23.77903278 German_Schleswig-Holstein
24.01899040 Dutch_North
24.27959637 German_County_Glatz
24.72589129 German_Lower_Saxony_North
24.83474381 Norwegian
24.97099317 German_Frisian
25.33904892 German_Mecklenburg_Center/East
25.37652458 Icelandic
25.56256638 German_Northwest
25.56656410 Danish
25.58732694 German_East_Prussia_Central
25.72460107 German_Brandenburg_Northwest
25.76229997 Swedish
25.96229381 Dutch
25.99024817 Swedish_North
26.17476838 German_Westphalia
26.18908360 Dutch_Central
26.50124525 Scottish_East
26.66118902 German_Lower_Saxony_South
26.67952773 Scottish_Highlands
26.85876766 Scottish
27.14280752 British_Ulster
27.20495359 Dutch_South
27.21907603 English_Yorkshire


Target: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
Distance: 21.4485% / 21.44853345
61.0 Faroese
30.5 German_County_Glatz
8.3 German_Lower_Silesia
0.2 Finnish_Northeast

I wonder if because the ancient result has a closer distance if our matching segments are coming from those, perhaps Corded Ware, Germany, Tiefbrunn.

For good measure, the MDLP K18 Ancient World calc on our shared segments gives us this 4-way:

1 25% Spanish_Castilla_La_Mancha + 25% Norwegian + 25% Norwegian + 25% Romanians @ 7.833

[Balboa]

# Population Percent
1 Mediterranean 41.88
2 West_European 23.80
3 West_Asian 17.75
4 Southwest_Asian 9.03
5 Northwest_African 4.39
6 East_European 2.52


50% C_Italian_Dodecad +25% Morocco_Jews_Behar +25% Portuguese_Dodecad @ 1.392132

1 Morocco_Jews_Behar + O_Italian_Dodecad + Portuguese_Dodecad + S_Italian_Sicilian_Dodecad @ 1.208036
2 Morocco_Jews_Behar + Portuguese_Dodecad + S_Italian_Dodecad + Tuscan_Henn @ 1.368187
3 C_Italian_Dodecad + C_Italian_Dodecad + Morocco_Jews_Behar + Portuguese_Dodecad @ 1.392132
4 IBS_1000Genomes + Morocco_Jews_Behar + S_Italian_Dodecad + Tuscan_Henn @ 1.432301
5 Morocco_Jews_Behar + Morocco_Jews_Behar + N_Italian_Dodecad + North_Italian_HGDP @ 1.441572

[Gannicus]

This is our K36 result with K36 raw regional calc based on 28 shared segments, 109 cM shared:


Target: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
Distance: 21.4485% / 21.44853345
61.0 Faroese
30.5 German_County_Glatz
8.3 German_Lower_Silesia
0.2 Finnish_Northeast

Keep in mind we have "half-match" segments matching, so half of this result would not apply. I'm guessing we share Faroese. Of all the people I share DNA with, you plot furthest NW with me, overall, with our GPS plot landing in Schleswig-Saxon-Germany, just south of the border of Denmark. But Faroese makes sense as the other data results are pulling that plot southeast.

This is the raw K36 result for our shared data:

Components %
Amerindian 0.00
Arabian 0.00
Armenian 0.00
Basque 1.42
Central_African 0.00
Central_Euro 3.18
East_African 0.00
East_Asian 0.00
East_Balkan 21.36
East_Central_Asian 0.00
East_Central_Euro 4.94
East_Med 0.00
Eastern_Euro 0.00
Fennoscandian 14.61
French 10.28
Iberian 0.00
Indo-Chinese 0.00
Italian 0.00
Malayan 0.00
Near_Eastern 0.00
North_African 0.00
North_Atlantic 22.48
North_Caucasian 0.00
North_Sea 18.05
Northeast_African 0.00
Oceanian 0.00
Omotic 0.00
Pygmy 0.00
Siberian 0.00
South_Asian 0.00
South_Central_Asian 0.00
South_Chinese 0.00
Volga-Ural 0.00
West_African 0.00
West_Caucasian 3.68
West_Med 0.00

https://i.postimg.cc/J0KWJngn/Vahaduo-Global-25-Views-2025-02-04-T143638-771.png (https://postimages.org/)

https://i.postimg.cc/D07T8sxH/Vahaduo-Global-25-Views-2025-02-04-T143730-922.png (https://postimages.org/)

our ancient, closest 25 using raw K36 ancient individuals:

Distance to: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
20.91161878 Germany_Tiefbrunn_Corded_Ware_4094_YBP_RISE435
22.01276675 Slovakia_Tes_Mlynany:R2208___AD_300
22.37376142 Szolad_SZ7_Langobard
23.21864122 Szolad_SZ25_Langobard
23.24985161 Szolad_SZ13_Langobard
23.32112133 Srubnaya_KZB001
23.35574448 Szolad_SZ4_Langobard
23.89147965 Collegno_CL92_Langobard
23.97386285 Collegno_CL146_Langobard
24.54631133 Poland_Weklice:R11391___AD_85
24.92340266 Sweden_Battle_Axe_RISE98
25.01276674 Szolad_SZ2_Langobard
25.18827902 Poland_RISE577
25.31248111 Poland_RISE150_Przeclawice_3469_years_U5a1b1
25.31969392 Slovakia_Zohor:R2204___AD_150
25.60146675 Sweden_Battle_Axe_RISE94
25.79475722 Unetice_I0164
25.93311589 Szolad_SZ11_Langobard
26.36686367 Early_Medieval_Czech_RISE569_K36
26.37842490 Sweden_Malmo_Nordic_IA_RISE174
26.43375115 Slovakia_DA119
26.50073584 Sarmatian_Early_PR9
26.52400799 Srubnaya_KZB009
26.60990229 Estonia_RISE00
26.64967730 Poland_Weklice:R10625___AD_85


Target: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
Distance: 13.5898% / 13.58976453
41.5 Germany_Tiefbrunn_Corded_Ware_4094_YBP_RISE435
15.2 Pannonia_Maros_Bronze_Age_3650_YBP_RISE371
11.8 Denmark_Marbjerg_RISE42
11.1 Germany_Tiefbrunn_Corded_Ware_4161_YBP_RISE434
5.6 Hungary__P1_Polgar_Ferenci_hat_6300_6100_years_N
3.9 Finland_Levanluhta_JK1968
3.1 Sweden_Angamollan_3100_YBP_RISE207
2.8 Darkveti-Meshoko_I2055
2.2 Sarmatian_Early_PR9
1.5 Hungary_KO1
1.3 Sweden_Neolithic_Motala9



regional k36, raw:

Distance to: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
22.68690151 Faroese
23.77903278 German_Schleswig-Holstein
24.01899040 Dutch_North
24.27959637 German_County_Glatz
24.72589129 German_Lower_Saxony_North
24.83474381 Norwegian
24.97099317 German_Frisian
25.33904892 German_Mecklenburg_Center/East
25.37652458 Icelandic
25.56256638 German_Northwest
25.56656410 Danish
25.58732694 German_East_Prussia_Central
25.72460107 German_Brandenburg_Northwest
25.76229997 Swedish
25.96229381 Dutch
25.99024817 Swedish_North
26.17476838 German_Westphalia
26.18908360 Dutch_Central
26.50124525 Scottish_East
26.66118902 German_Lower_Saxony_South
26.67952773 Scottish_Highlands
26.85876766 Scottish
27.14280752 British_Ulster
27.20495359 Dutch_South
27.21907603 English_Yorkshire


Target: K36.raw.Brad.Gannicus.28SharedSegments.109.3cM.3.0 47%
Distance: 21.4485% / 21.44853345
61.0 Faroese
30.5 German_County_Glatz
8.3 German_Lower_Silesia
0.2 Finnish_Northeast

I wonder if because the ancient result has a closer distance if our matching segments are coming from those, perhaps Corded Ware, Germany, Tiefbrunn.

For good measure, the MDLP K18 Ancient World calc on our shared segments gives us this 4-way:

1 25% Spanish_Castilla_La_Mancha + 25% Norwegian + 25% Norwegian + 25% Romanians @ 7.833

Fascinating! I'm not aware of any Faroese ancestors.

[Grace O'Malley]

Population
East_European 13.02 Pct
West_European 55.74 Pct
Mediterranean 22.67 Pct
Neo_African -
West_Asian 7.79 Pct
South_Asian 0.37 Pct
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 0.41 Pct
Northwest_African -
Palaeo_African -

Using 2 populations approximation:
1 50% Argyll_1000 Genomes +50% Argyll_1000 Genomes @ 1.724447


Using 3 populations approximation:
1 50% German_Dodecad +25% Mixed_Germanic_Dodecad +25% Argyll_1000 Genomes @ 0.901153


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++
1 German_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes @ 0.901153
2 German_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 0.963392
3 German_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000 Genomes @ 0.989040
4 German_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes @ 1.075893
5 Dutch_Dodecad + German_Dodecad + German_Dodecad + Argyll_1000 Genomes @ 1.119471

Dodecad has always been weird. Ireland is at no 17 and also look at No 1 Argyll and where Ireland is. Argyll are similar to the Irish.

Least-squares method.

Using 1 population approximation:
1 Argyll_1000 Genomes @ 1.724447
2 Orkney_1000 Genomes @ 2.931400
3 Orcadian_HGDP @ 3.011907
4 N._European_Xing @ 3.332438
5 CEU_HapMap @ 4.032864
6 German_Dodecad @ 5.260395
7 Mixed_Germanic_Dodecad @ 8.821506
8 Dutch_Dodecad @ 10.284407
9 Kent_1000 Genomes @ 12.369264
10 British_Isles_Dodecad @ 13.873434
11 Swedish_Dodecad @ 14.231979
12 British_Dodecad @ 14.328964
13 French_HGDP @ 14.989042
14 Cornwall_1000 Genomes @ 15.109239
15 French_Dodecad @ 15.333910
16 Norwegian_Dodecad @ 15.768250
17 Irish_Dodecad @ 16.832308
18 Slovenian_Xing @ 18.622061
19 Hungarians_Behar @ 23.213457
20 FIN_1000Genomes @ 24.095007

[ScandinavianCelt]

Population
East_European 13.02 Pct
West_European 55.74 Pct
Mediterranean 22.67 Pct
Neo_African -
West_Asian 7.79 Pct
South_Asian 0.37 Pct
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 0.41 Pct
Northwest_African -
Palaeo_African -

Using 2 populations approximation:
1 50% Argyll_1000 Genomes +50% Argyll_1000 Genomes @ 1.724447


Using 3 populations approximation:
1 50% German_Dodecad +25% Mixed_Germanic_Dodecad +25% Argyll_1000 Genomes @ 0.901153


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++
1 German_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes @ 0.901153
2 German_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 0.963392
3 German_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000 Genomes @ 0.989040
4 German_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes @ 1.075893
5 Dutch_Dodecad + German_Dodecad + German_Dodecad + Argyll_1000 Genomes @ 1.119471

Dodecad has always been weird. Ireland is at no 17 and also look at No 1 Argyll and where Ireland is. Argyll are similar to the Irish.

Least-squares method.

Using 1 population approximation:
1 Argyll_1000 Genomes @ 1.724447
2 Orkney_1000 Genomes @ 2.931400
3 Orcadian_HGDP @ 3.011907
4 N._European_Xing @ 3.332438
5 CEU_HapMap @ 4.032864
6 German_Dodecad @ 5.260395
7 Mixed_Germanic_Dodecad @ 8.821506
8 Dutch_Dodecad @ 10.284407
9 Kent_1000 Genomes @ 12.369264
10 British_Isles_Dodecad @ 13.873434
11 Swedish_Dodecad @ 14.231979
12 British_Dodecad @ 14.328964
13 French_HGDP @ 14.989042
14 Cornwall_1000 Genomes @ 15.109239
15 French_Dodecad @ 15.333910
16 Norwegian_Dodecad @ 15.768250
17 Irish_Dodecad @ 16.832308
18 Slovenian_Xing @ 18.622061
19 Hungarians_Behar @ 23.213457
20 FIN_1000Genomes @ 24.095007

Your European scores match closest on Spreadsheet to:

Eastern: Swedish
Wester: N.European
Med: N.European

I wonder if the N.European here is Icelandic.

[tk'es]

Admix Results (sorted):

# Population Percent
1 West_Asian 41.38
2 West_European 17.92
3 Mediterranean 15.68
4 East_European 9.53
5 Southwest_Asian 6.58
6 South_Asian 4.69
7 Northeast_Asian 2.67
8 Southeast_Asian 1.15



Using 2 populations approximation:
1 50% Stalskoe_Xing +50% Stalskoe_Xing @ 6.336759

Using 3 populations approximation:
1 50% Iranian_Dodecad +25% Lezgins_Behar +25% Slovenian_Xing @ 3.385969



Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 Iranians_Behar + Lezgins_Behar + Romanians_14_Behar + Stalskoe_Xing @ 1.169979
2 FIN_1000Genomes + Georgians_Behar + Iranian_Dodecad + Kurd_Xing @ 1.339688
3 Hungarians_Behar + Iranians_Behar + Lezgins_Behar + Turks_Behar @ 1.469798
4 FIN_1000Genomes + Georgians_Behar + Iranian_Dodecad + Kurd_Dodecad @ 1.581404
5 Adygei_HGDP + Iranian_Dodecad + Kurd_Dodecad + Slovenian_Xing @ 1.708162

[leachim_x]

Population
East_European 11.22 Pct (CEU 11.20)
West_European 52.32 Pct (German 52.65)
Mediterranean 26.07 Pct (CEU 25.70)
Neo_African -
West_Asian 7.5 Pct (Kent 7.5)
South_Asian 1.1 Pct (Sephardic_Jews 1.1)
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 1.8 Pct French / IBS / North_Italian 1.8)
Northwest_African -
Palaeo_African -


# Population (source) Distance
1 CEU (HapMap) 1.87
2 N._European (Xing) 3.54
3 Orcadian (HGDP) 3.98
4 Argyll (1000 Genomes) 4.07
5 Orkney (1000 Genomes) 4.3
6 German (Dodecad) 6.41
7 Mixed_Germanic (Dodecad) 9.58
8 French (HGDP) 9.77
9 French (Dodecad) 9.91
10 Dutch (Dodecad) 10.46

[ScandinavianCelt]

Interesting! looking at Ancestry my 4th cousins are 8 cM. 5th or 6th cousin maybe?

https://dnapainter.com/tools/sharedcmv4