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JerryS.
04-29-2018, 12:51 AM
Admix Results (sorted):


# Population Percent
1 West_European 44.6
2 Mediterranean 29.5
3 East_European 11.59
4 West_Asian 10.1
5 Southwest_Asian 2.74
6 East_African 0.88
7 Northwest_African 0.26
8 Palaeo_African 0.23
9 Southeast_Asian 0.08
10 Northeast_Asian 0.03

Single Population Sharing:


# Population (source) Distance
1 CEU (HapMap) 9.56
2 French (Dodecad) 10.8
3 French (HGDP) 10.82
4 N._European (Xing) 10.83
5 German (Dodecad) 11.52
6 Argyll (1000 Genomes) 11.68
7 Orcadian (HGDP) 11.78
8 Slovenian (Xing) 12.03
9 Orkney (1000 Genomes) 12.19
10 Hungarians (Behar) 15.72
11 Mixed_Germanic (Dodecad) 16.4
12 Dutch (Dodecad) 17.51
13 N_Italian (Dodecad) 18.06
14 Tuscan (Henn) 18.1
15 TSI (HapMap) 18.28
16 Tuscan (Xing) 18.37
17 Portuguese (Dodecad) 18.66
18 Kent (1000 Genomes) 19.63
19 Spaniards (Behar) 20.16
20 French_Basque (HGDP) 20.71

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 69.1% German (Dodecad) + 30.9% Tuscan (HGDP) @ 1.6
2 78.2% CEU (HapMap) + 21.8% Greek (Dodecad) @ 1.62
3 67.1% German (Dodecad) + 32.9% O_Italian (Dodecad) @ 1.64
4 73.7% Orkney (1000 Genomes) + 26.3% Greek (Dodecad) @ 1.99
5 74.4% Orcadian (HGDP) + 25.6% Greek (Dodecad) @ 2.05
6 79.1% CEU (HapMap) + 20.9% Sicilian (Dodecad) @ 2.09
7 61.6% German (Dodecad) + 38.4% TSI (HapMap) @ 2.17
8 61.3% German (Dodecad) + 38.7% N_Italian (Dodecad) @ 2.22
9 71.7% German (Dodecad) + 28.3% C_Italian (Dodecad) @ 2.24
10 80% CEU (HapMap) + 20% S_Italian (Dodecad) @ 2.38
11 75.6% Argyll (1000 Genomes) + 24.4% Sicilian (Dodecad) @ 2.39
12 80.9% CEU (HapMap) + 19.1% Sephardic_Jews (Behar) @ 2.39
13 52.2% British (Dodecad) + 47.8% Romanians_14 (Behar) @ 2.4
14 78.6% CEU (HapMap) + 21.4% S_Italian_Sicilian (Dodecad) @ 2.42
15 51.7% Cornwall (1000 Genomes) + 48.3% Romanians_14 (Behar) @ 2.43
16 76.2% N._European (Xing) + 23.8% Greek (Dodecad) @ 2.46
17 75.4% Orcadian (HGDP) + 24.6% Sicilian (Dodecad) @ 2.46
18 74.8% Orkney (1000 Genomes) + 25.2% Sicilian (Dodecad) @ 2.51
19 54.5% Kent (1000 Genomes) + 45.5% Romanians_14 (Behar) @ 2.51
20 57.4% Dutch (Dodecad) + 42.6% Romanians_14 (Behar) @ 2.54

Nino90
04-29-2018, 11:52 AM
# Population Percent
1 West_European 50.89
2 Mediterranean 24.27
3 East_European 12.99
4 West_Asian 5.55
5 Northeast_Asian 2.12
6 Southwest_Asian 1.62
7 Northwest_African 0.9
8 Southeast_Asian 0.73
9 Neo_African 0.65
10 Palaeo_African 0.27
11 East_African 0.01

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 4.52
2 N._European (Xing) 4.85
3 German (Dodecad) 5.16
4 Argyll (1000 Genomes) 5.57
5 Orcadian (HGDP) 5.92
6 Orkney (1000 Genomes) 6.1
7 Mixed_Germanic (Dodecad) 11.67
8 French (Dodecad) 12.27
9 French (HGDP) 12.4
10 Dutch (Dodecad) 12.64
11 Slovenian (Xing) 13.72
12 Kent (1000 Genomes) 14.68
13 British_Isles (Dodecad) 16.17
14 British (Dodecad) 16.39
15 Swedish (Dodecad) 16.91
16 Cornwall (1000 Genomes) 17.1
17 Hungarians (Behar) 17.75
18 Norwegian (Dodecad) 18.24
19 Irish (Dodecad) 18.96
20 FIN (1000Genomes) 22.5

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 71.7% French (HGDP) + 28.3% Finnish (Dodecad) @ 1.6
2 92.4% CEU (HapMap) + 7.6% Chuvashs_16 (Behar) @ 2.34
3 64.8% French (HGDP) + 35.2% FIN (1000Genomes) @ 2.65
4 94.9% CEU (HapMap) + 5.1% Yukagir (Rasmussen) @ 2.68
5 95% CEU (HapMap) + 5% Selkup (Rasmussen) @ 2.77
6 95.5% CEU (HapMap) + 4.5% Dolgan (Rasmussen) @ 2.77
7 96.2% CEU (HapMap) + 3.8% Yakut (HGDP) @ 2.91
8 96.4% CEU (HapMap) + 3.6% Evenk_15 (Rasmussen) @ 2.91
9 92.3% CEU (HapMap) + 7.7% Russian (HGDP) @ 2.93
10 95.8% CEU (HapMap) + 4.2% Tuva (Rasmussen) @ 2.95
11 95.2% CEU (HapMap) + 4.8% Altai (Rasmussen) @ 2.95
12 96.1% CEU (HapMap) + 3.9% Buryat (Rasmussen) @ 3.02
13 85% German (Dodecad) + 15% Portuguese (Dodecad) @ 3.06
14 96.1% CEU (HapMap) + 3.9% Buryat (Xing) @ 3.08
15 95.1% CEU (HapMap) + 4.9% Kyrgyzstani (Xing) @ 3.09
16 95.8% CEU (HapMap) + 4.2% Mongol (Rasmussen) @ 3.1
17 96.5% CEU (HapMap) + 3.5% Oroqen (HGDP) @ 3.12
18 97.1% CEU (HapMap) + 2.9% Nganassan_12 (Rasmussen) @ 3.16
19 52.1% British (Dodecad) + 47.9% Hungarians (Behar) @ 3.18
20 91.3% CEU (HapMap) + 8.7% Mixed_Slav (Dodecad) @ 3.19

jortita
04-29-2018, 12:01 PM
Living DNA Previous Results

Admix Results (sorted):

# Population Percent
1 South_Asian 45.8
2 Southeast_Asian 18.87
3 West_European 9.14
4 West_Asian 8.87
5 Northeast_Asian 4.99
6 East_European 4.28
7 Mediterranean 4.01
8 Northwest_African 2.22
9 Palaeo_African 1
10 Neo_African 0.41
11 Southwest_Asian 0.39

Living DNA Updated Results

Admix Results (sorted):

# Population Percent
1 South_Asian 43.5
2 Southeast_Asian 20.2
3 West_European 8.75
4 West_Asian 8.1
5 Northeast_Asian 5.16
6 Mediterranean 5.08
7 East_European 3.7
8 Northwest_African 2.97
9 Southwest_Asian 1.56
10 Palaeo_African 0.98

srquinn00
05-06-2018, 12:12 AM
Admix Results (sorted):

# Population Percent
1 West_European 51.89
2 Mediterranean 22.15
3 East_European 14.81
4 West_Asian 8.05
5 South_Asian 1.29
6 Northwest_African 1.03
7 Neo_African 0.3
8 East_African 0.21
9 Southeast_Asian 0.19
10 Southwest_Asian 0.04
11 Northeast_Asian 0.02

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 3.08
2 Argyll (1000 Genomes) 4.69
3 N._European (Xing) 4.75
4 CEU (HapMap) 5.17
5 Orcadian (HGDP) 5.86
6 Orkney (1000 Genomes) 5.95
7 Mixed_Germanic (Dodecad) 11.33
8 Dutch (Dodecad) 12.83
9 Slovenian (Xing) 13.09
10 French (HGDP) 14.71
11 Kent (1000 Genomes) 14.82
12 French (Dodecad) 14.85
13 Swedish (Dodecad) 15.48
14 British_Isles (Dodecad) 16.21
15 British (Dodecad) 16.59
16 Cornwall (1000 Genomes) 17.28
17 Hungarians (Behar) 17.32
18 Norwegian (Dodecad) 17.36
19 Irish (Dodecad) 18.84
20 FIN (1000Genomes) 21.11

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88% Argyll (1000 Genomes) + 12% Mixed_Slav (Dodecad) = 1.65
2 89.6% Argyll (1000 Genomes) + 10.4% Russian (Dodecad) = 1.81
3 75% Argyll (1000 Genomes) + 25% Slovenian (Xing) = 1.83
4 91% Argyll (1000 Genomes) + 9% Belorussian (Behar) = 1.83
5 88% Argyll (1000 Genomes) + 12% Polish (Dodecad) = 1.85
6 52.1% Hungarians (Behar) + 47.9% Irish (Dodecad) = 1.89
7 80.2% Argyll (1000 Genomes) + 19.8% Hungarians (Behar) = 1.96
8 90.4% Argyll (1000 Genomes) + 9.6% Russian (HGDP) = 2.04
9 88.4% N._European (Xing) + 11.6% Mixed_Slav (Dodecad) = 2.12
10 59.2% Slovenian (Xing) + 40.8% Irish (Dodecad) = 2.13
11 88.2% N._European (Xing) + 11.8% Polish (Dodecad) = 2.13
12 91.1% N._European (Xing) + 8.9% Belorussian (Behar) = 2.17
13 92.2% Argyll (1000 Genomes) + 7.8% Lithuanian (Dodecad) = 2.18
14 91.8% Argyll (1000 Genomes) + 8.2% Lithuanians (Behar) = 2.19
15 55.5% Slovenian (Xing) + 44.5% British_Isles (Dodecad) = 2.21
16 51.7% British_Isles (Dodecad) + 48.3% Hungarians (Behar) = 2.23
17 91.8% N._European (Xing) + 8.2% Lithuanians (Behar) = 2.3
18 89.9% N._European (Xing) + 10.1% Russian (Dodecad) = 2.3
19 92.2% N._European (Xing) + 7.8% Lithuanian (Dodecad) = 2.32
20 70.2% Orkney (1000 Genomes) + 29.8% Slovenian (Xing) = 2.33

jortita
05-09-2018, 02:56 AM
Updated Living DNA Oracle

Single Population Sharing:

# Population (source) Distance
1 Nepalese (Xing) 8.54
2 Sahariya (Reich) 17.09
3 Tharu (Reich) 17.78
4 Vaish (Reich) 18.99
5 Cochin_Jews (Behar) 19.23
6 Satnami (Reich) 19.26
7 Burusho (HGDP) 19.31
8 Srivastava (Reich) 19.73
9 Meghawal (Reich) 20.24
10 AP_Brahmin (Xing) 21.12
11 Kashmiri_Pandit (Reich) 21.6
12 Kharia (Reich) 21.76
13 TN_Brahmin (Xing) 21.98
14 Santhal (Reich) 22.12
15 Lodi (Reich) 22.64
16 Pakistani (Xing) 23.35
17 Bnei_Menashe_Jews (Behar) 24.09
18 Sindhi (HGDP) 24.25
19 Hallaki (Reich) 24.88
20 Velama (Reich) 25.25

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 78.9% Vaish (Reich) + 21.1% Nysha (Reich) @ 4.31
2 79.7% Vaish (Reich) + 20.3% Aonaga (Reich) @ 4.33
3 80.7% Vaish (Reich) + 19.3% Chinese (Dodecad) @ 4.39
4 80.2% Vaish (Reich) + 19.8% Japanese (HGDP) @ 4.41
5 81.2% Vaish (Reich) + 18.8% JPT (HapMap) @ 4.42
6 80.6% Vaish (Reich) + 19.4% Naxi (HGDP) @ 4.43
7 80.7% Vaish (Reich) + 19.3% Yizu (HGDP) @ 4.43
8 80.1% Vaish (Reich) + 19.9% Korean (Dodecad) @ 4.51
9 81.3% Vaish (Reich) + 18.7% Han (HGDP) @ 4.57
10 79.1% Nepalese (Xing) + 20.9% Chenchu (Reich) @ 4.58
11 72.2% Nepalese (Xing) + 27.8% Satnami (Reich) @ 4.63
12 79% Nepalese (Xing) + 21% AP_Mala (Xing) @ 4.64
13 81.6% Vaish (Reich) + 18.4% CHB (HapMap) @ 4.64
14 81.5% Vaish (Reich) + 18.5% She (HGDP) @ 4.7
15 75.4% Sahariya (Reich) + 24.6% Stalskoe (Xing) @ 4.71
16 81.6% Vaish (Reich) + 18.4% Tujia (HGDP) @ 4.71
17 76.8% AP_Brahmin (Xing) + 23.2% Tu (HGDP) @ 4.76
18 78.7% Vaish (Reich) + 21.3% Tu (HGDP) @ 4.78
19 79.4% Nepalese (Xing) + 20.6% Madiga (Reich) @ 4.83
20 79% AP_Brahmin (Xing) + 21% Chinese (Dodecad) @ 4.84

Updated Ancestry DNA

Admix Results (sorted):

# Population Percent
1 South_Asian 44.16
2 Southeast_Asian 19.76
3 West_Asian 12.31
4 Mediterranean 7.44
5 West_European 5.79
6 Northeast_Asian 5.58
7 East_European 3.83
8 Palaeo_African 0.91
9 Northwest_African 0.21

Single Population Sharing:

# Population (source) Distance
1 Nepalese (Xing) 8.04
2 Burusho (HGDP) 17.3
3 Tharu (Reich) 17.63
4 Cochin_Jews (Behar) 17.72
5 Sahariya (Reich) 18.31
6 Vaish (Reich) 18.81
7 Srivastava (Reich) 19.16
8 Kashmiri_Pandit (Reich) 19.23
9 Meghawal (Reich) 19.33
10 Satnami (Reich) 19.76
11 AP_Brahmin (Xing) 20.45
12 TN_Brahmin (Xing) 20.97
13 Pakistani (Xing) 21.5
14 Bnei_Menashe_Jews (Behar) 21.85
15 Sindhi (HGDP) 22.37
16 Lodi (Reich) 22.55
17 Santhal (Reich) 22.93
18 Kharia (Reich) 22.98
19 Velama (Reich) 23.5
20 Pathan (HGDP) 23.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68.6% Santhal (Reich) + 31.4% Stalskoe (Xing) @ 3.83
2 78.2% Nepalese (Xing) + 21.8% Naidu (Reich) @ 3.87
3 79.7% Nepalese (Xing) + 20.3% Vysya (Reich) @ 3.88
4 78.5% Nepalese (Xing) + 21.5% Kamsali (Reich) @ 3.93
5 77.6% Nepalese (Xing) + 22.4% Hallaki (Reich) @ 4.02
6 71.2% Nepalese (Xing) + 28.8% Tharu (Reich) @ 4.06
7 77% Nepalese (Xing) + 23% Velama (Reich) @ 4.12
8 82.1% Nepalese (Xing) + 17.9% TN_Dalit (Xing) @ 4.14
9 78.7% Nepalese (Xing) + 21.3% Kurumba (Reich) @ 4.18
10 85% Nepalese (Xing) + 15% North_Kannadi (Behar) @ 4.25
11 78.3% Nepalese (Xing) + 21.7% INS (SGVP) @ 4.26
12 81% Nepalese (Xing) + 19% Mala (Reich) @ 4.26
13 80.1% Nepalese (Xing) + 19.9% AP_Mala (Xing) @ 4.29
14 79.7% Nepalese (Xing) + 20.3% Bhil (Reich) @ 4.33
15 86.8% Nepalese (Xing) + 13.2% Irula (Xing) @ 4.34
16 76.6% Nepalese (Xing) + 23.4% Lodi (Reich) @ 4.35
17 80.6% Nepalese (Xing) + 19.4% Chenchu (Reich) @ 4.43
18 81.6% Nepalese (Xing) + 18.4% GIH (HapMap) @ 4.45
19 80.8% Nepalese (Xing) + 19.2% AP_Madiga (Xing) @ 4.5
20 80.6% Nepalese (Xing) + 19.4% Madiga (Reich) @ 4.51

Updated Geno 2.0 converted to FTDNA

Admix Results (sorted):

# Population Percent
1 South_Asian 44.45
2 Southeast_Asian 21.61
3 West_Asian 16.15
4 Mediterranean 7.32
5 East_European 4.05
6 Northeast_Asian 3.37
7 West_European 2.49
8 Palaeo_African 0.54
9 Northwest_African 0.02

Single Population Sharing:

# Population (source) Distance
1 Nepalese (Xing) 10.57
2 Burusho (HGDP) 18.58
3 Cochin_Jews (Behar) 18.98
4 Sahariya (Reich) 19.57
5 Tharu (Reich) 19.67
6 Kashmiri_Pandit (Reich) 19.76
7 Srivastava (Reich) 20.68
8 Meghawal (Reich) 21.12
9 Vaish (Reich) 21.13
10 Satnami (Reich) 21.33
11 Bnei_Menashe_Jews (Behar) 22.24
12 AP_Brahmin (Xing) 22.26
13 TN_Brahmin (Xing) 22.51
14 Pakistani (Xing) 22.54
15 Kharia (Reich) 22.92
16 Sindhi (HGDP) 23.29
17 Santhal (Reich) 23.5
18 Velama (Reich) 23.93
19 Lodi (Reich) 24.17
20 Pathan (HGDP) 24.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.6% Santhal (Reich) + 30.4% Turks (Behar) @ 4.35
2 78.1% Sahariya (Reich) + 21.9% Georgians (Behar) @ 4.51
3 74.7% Santhal (Reich) + 25.3% Georgians (Behar) @ 4.53
4 72.8% Santhal (Reich) + 27.2% Armenians_16 (Behar) @ 5
5 72.9% Santhal (Reich) + 27.1% Adygei (HGDP) @ 5.04
6 69% Kharia (Reich) + 31% Iranian (Dodecad) @ 5.45
7 68.4% Santhal (Reich) + 31.6% Iranian (Dodecad) @ 5.45
8 69.8% Santhal (Reich) + 30.2% Turkish (Dodecad) @ 5.47
9 56.9% Kharia (Reich) + 43.1% Balochi (HGDP) @ 5.49
10 72.6% Santhal (Reich) + 27.4% Armenian (Dodecad) @ 5.62
11 57.8% Kharia (Reich) + 42.2% Brahui (HGDP) @ 5.65
12 76.7% Sahariya (Reich) + 23.3% Armenians_16 (Behar) @ 5.7
13 73.5% Kharia (Reich) + 26.5% Armenians_16 (Behar) @ 5.72
14 59.3% Kharia (Reich) + 40.7% Makrani (HGDP) @ 5.74
15 75.4% Kharia (Reich) + 24.6% Georgians (Behar) @ 5.78
16 76.8% Sahariya (Reich) + 23.2% Adygei (HGDP) @ 5.88
17 70.5% Kharia (Reich) + 29.5% Turks (Behar) @ 6.05
18 68.4% Kharia (Reich) + 31.6% Kurd (Dodecad) @ 6.12
19 74% Sahariya (Reich) + 26% Turks (Behar) @ 6.21
20 73.2% Kharia (Reich) + 26.8% Armenian (Dodecad) @ 6.3

Updated MyHeritageDNA

Admix Results (sorted):

# Population Percent
1 South_Asian 44.31
2 Southeast_Asian 21.98
3 West_Asian 17.21
4 Mediterranean 7.13
5 East_European 4.16
6 Northeast_Asian 3.24
7 West_European 1.45
8 Palaeo_African 0.52

Single Population Sharing:

# Population (source) Distance
1 Nepalese (Xing) 11.25
2 Burusho (HGDP) 19.01
3 Cochin_Jews (Behar) 19.59
4 Kashmiri_Pandit (Reich) 20.06
5 Sahariya (Reich) 20.28
6 Tharu (Reich) 20.51
7 Srivastava (Reich) 21.34
8 Meghawal (Reich) 21.8
9 Vaish (Reich) 21.99
10 Satnami (Reich) 22.09
11 Bnei_Menashe_Jews (Behar) 22.51
12 Pakistani (Xing) 22.97
13 AP_Brahmin (Xing) 23
14 TN_Brahmin (Xing) 23.16
15 Kharia (Reich) 23.27
16 Sindhi (HGDP) 23.69
17 Santhal (Reich) 24.02
18 Velama (Reich) 24.31
19 Lodi (Reich) 24.91
20 Pathan (HGDP) 25.24

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74.1% Santhal (Reich) + 25.9% Georgians (Behar) @ 4.44
2 77.5% Sahariya (Reich) + 22.5% Georgians (Behar) @ 5.07
3 74.8% Kharia (Reich) + 25.2% Georgians (Behar) @ 5.16
4 69.2% Santhal (Reich) + 30.8% Turks (Behar) @ 5.21
5 72.3% Santhal (Reich) + 27.7% Armenians_16 (Behar) @ 5.35
6 68.5% Kharia (Reich) + 31.5% Iranian (Dodecad) @ 5.45
7 73% Kharia (Reich) + 27% Armenians_16 (Behar) @ 5.52
8 72.5% Santhal (Reich) + 27.5% Adygei (HGDP) @ 5.55
9 67.8% Santhal (Reich) + 32.2% Iranian (Dodecad) @ 5.95
10 72.1% Santhal (Reich) + 27.9% Armenian (Dodecad) @ 6.07
11 56.5% Kharia (Reich) + 43.5% Balochi (HGDP) @ 6.13
12 58.9% Kharia (Reich) + 41.1% Makrani (HGDP) @ 6.2
13 57.4% Kharia (Reich) + 42.6% Brahui (HGDP) @ 6.21
14 72.8% Kharia (Reich) + 27.2% Armenian (Dodecad) @ 6.25
15 70.1% Kharia (Reich) + 29.9% Turks (Behar) @ 6.25
16 69.4% Santhal (Reich) + 30.6% Turkish (Dodecad) @ 6.44
17 76% Sahariya (Reich) + 24% Armenians_16 (Behar) @ 6.47
18 68% Kharia (Reich) + 32% Kurd (Dodecad) @ 6.5
19 76.2% Sahariya (Reich) + 23.8% Adygei (HGDP) @ 6.75
20 73.4% Kharia (Reich) + 26.6% Adygei (HGDP) @ 6.8

asm
05-09-2018, 11:01 PM
# Population Percent
1 West_Asian 44.56
2 Mediterranean 17.84
3 West_European 15.4
4 Southwest_Asian 7.42
5 South_Asian 6.67
6 East_European 5.73
7 Northeast_Asian 2.3
8 Southeast_Asian 0.09

Single Population Sharing:

# Population (source) Distance
1 Stalskoe (Xing) 9.7
2 Kurd (Dodecad) 10.14
3 Urkarah (Xing) 10.73
4 Iranian (Dodecad) 11
5 Kurd (Xing) 11.87
6 Turks (Behar) 12.34
7 Turkish (Dodecad) 13.37
8 Iranians (Behar) 13.97
9 Uzbekistan_Jews (Behar) 14.3
10 Azerbaijan_Jews (Behar) 16.5
11 Georgia_Jews (Behar) 18.95
12 Iranian_Jews (Behar) 19.37
13 Armenian (Dodecad) 19.43
14 Armenians_16 (Behar) 20.28
15 Adygei (HGDP) 20.3
16 Assyrian (Dodecad) 20.64
17 Iraq_Jews (Behar) 21.11
18 Druze (HGDP) 22.17
19 Ashkenazy_Jews (Behar) 24.51
20 Ashkenazi (Dodecad) 24.83

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.7% Urkarah (Xing) + 35.3% Iranian_Jews (Behar) @ 2.11
2 52.6% Urkarah (Xing) + 47.4% Kurd (Xing) @ 2.24
3 60.9% Urkarah (Xing) + 39.1% Azerbaijan_Jews (Behar) @ 2.27
4 57.4% Urkarah (Xing) + 42.6% Uzbekistan_Jews (Behar) @ 2.29
5 66.7% Urkarah (Xing) + 33.3% Iraq_Jews (Behar) @ 2.41
6 51.5% Kurd (Dodecad) + 48.5% Urkarah (Xing) @ 2.75
7 68.1% Urkarah (Xing) + 31.9% Druze (HGDP) @ 3.07
8 64.6% Urkarah (Xing) + 35.4% Georgia_Jews (Behar) @ 3.16
9 72.7% Urkarah (Xing) + 27.3% Samaritians (Behar) @ 3.41
10 71.4% Urkarah (Xing) + 28.6% Lebanese (Behar) @ 3.7
11 82.7% Iranian (Dodecad) + 17.3% Argyll (1000 Genomes) @ 3.79
12 83% Iranian (Dodecad) + 17% Orcadian (HGDP) @ 3.8
13 83.1% Iranian (Dodecad) + 16.9% Orkney (1000 Genomes) @ 3.84
14 82.6% Iranian (Dodecad) + 17.4% CEU (HapMap) @ 3.88
15 53.7% Stalskoe (Xing) + 46.3% Iranian (Dodecad) @ 3.92
16 83.2% Iranian (Dodecad) + 16.8% Mixed_Germanic (Dodecad) @ 3.92
17 84.3% Iranian (Dodecad) + 15.7% Kent (1000 Genomes) @ 4.05
18 83.9% Iranian (Dodecad) + 16.1% Dutch (Dodecad) @ 4.06
19 82.5% Iranian (Dodecad) + 17.5% N._European (Xing) @ 4.09
20 56.2% Urkarah (Xing) + 43.8% Turkish (Dodecad) @ 4.1

--------------------

Using 2 populations approximation:
1 50% Kurd_Xing +50% Urkarah_Xing @ 2.403063


Using 3 populations approximation:
1 50% Kurd_Xing +25% Urkarah_Xing +25% Urkarah_Xing @ 2.403063


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++
1 Kurd_Dodecad + Turkish_Dodecad + Urkarah_Xing + Urkarah_Xing @ 2.013232
2 Azerbaijan_Jews_Behar + Kurd_Dodecad + Urkarah_Xing + Urkarah_Xing @ 2.140699
3 Turks_Behar + Uzbekistan_Jews_Behar + Urkarah_Xing + Urkarah_Xing @ 2.153334
4 Turkish_Dodecad + Kurd_Xing + Urkarah_Xing + Urkarah_Xing @ 2.260712
5 Iranians_Behar + Turkish_Dodecad + Urkarah_Xing + Urkarah_Xing @ 2.329605
6 Kurd_Dodecad + Uzbekistan_Jews_Behar + Urkarah_Xing + Urkarah_Xing @ 2.371936
7 Uzbekistan_Jews_Behar + Kurd_Xing + Urkarah_Xing + Urkarah_Xing @ 2.395240
8 Kurd_Xing + Kurd_Xing + Urkarah_Xing + Urkarah_Xing @ 2.403063
9 Kurd_Dodecad + Turks_Behar + Urkarah_Xing + Urkarah_Xing @ 2.447691
10 Azerbaijan_Jews_Behar + Kurd_Xing + Urkarah_Xing + Urkarah_Xing @ 2.454948
11 Turks_Behar + Kurd_Xing + Urkarah_Xing + Urkarah_Xing @ 2.497331
12 Kurd_Dodecad + Kurd_Xing + Urkarah_Xing + Urkarah_Xing @ 2.569883
13 Kurd_Dodecad + Turks_Behar + Stalskoe_Xing + Urkarah_Xing @ 2.656837
14 Turkish_Dodecad + Uzbekistan_Jews_Behar + Urkarah_Xing + Urkarah_Xing @ 2.678014
15 Iranian_Dodecad + Turkish_Dodecad + Stalskoe_Xing + Urkarah_Xing @ 2.690958
16 Azerbaijan_Jews_Behar + Iranian_Dodecad + Stalskoe_Xing + Urkarah_Xing @ 2.788978
17 Iranian_Dodecad + Iranian_Dodecad + Lezgins_Behar + Tuscan_Xing @ 2.807861
18 Iranian_Dodecad + Uzbekistan_Jews_Behar + Urkarah_Xing + Urkarah_Xing @ 2.816496
19 Iranian_Dodecad + Uzbekistan_Jews_Behar + Stalskoe_Xing + Urkarah_Xing @ 2.837930
20 Iranian_Dodecad + Iranian_Dodecad + Lezgins_Behar + O_Italian_Dodecad @ 2.840450

kush
05-10-2018, 03:34 AM
Genesis

Admix Results (sorted):

# Population Percent
1 South_Asian 63.18
2 West_Asian 13.48
3 Southeast_Asian 8.58
4 West_European 6.62
5 Mediterranean 4.22
6 East_European 2.24
7 Southwest_Asian 1.42
8 Neo_African 0.15
9 East_African 0.08
10 Northeast_Asian 0.02

Single Population Sharing:

# Population (source) Distance
1 INS (SGVP) 5.74
2 Velama (Reich) 6.38
3 Lodi (Reich) 6.39
4 AP_Brahmin (Xing) 6.88
5 Indian (Dodecad) 7.08
6 TN_Brahmin (Xing) 7.74
7 Hallaki (Reich) 7.9
8 Tharu (Reich) 7.99
9 Naidu (Reich) 8.47
10 Srivastava (Reich) 8.56
11 GIH (HapMap) 9.53
12 Vysya (Reich) 10.08
13 Meghawal (Reich) 10.41
14 Kamsali (Reich) 10.56
15 Bhil (Reich) 12.07
16 Cochin_Jews (Behar) 12.39
17 Vaish (Reich) 12.53
18 Kurumba (Reich) 12.6
19 Madiga (Reich) 12.62
20 AP_Madiga (Xing) 13.84

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 71.8% AP_Mala (Xing) + 28.2% Kalash (HGDP) @ 2.94
2 77.5% Kamsali (Reich) + 22.5% Kalash (HGDP) @ 3.02
3 70.7% Chenchu (Reich) + 29.3% Kalash (HGDP) @ 3.61
4 88.7% Vysya (Reich) + 11.3% Lezgins (Behar) @ 3.75
5 71.1% Mala (Reich) + 28.9% Kalash (HGDP) @ 3.78
6 74.4% Madiga (Reich) + 25.6% Kalash (HGDP) @ 4.01
7 75.4% Bhil (Reich) + 24.6% Kalash (HGDP) @ 4.06
8 83.7% Hallaki (Reich) + 16.3% Kalash (HGDP) @ 4.07
9 87.3% Vysya (Reich) + 12.7% Urkarah (Xing) @ 4.12
10 82.5% Naidu (Reich) + 17.5% Kalash (HGDP) @ 4.17
11 83.6% TN_Dalit (Xing) + 16.4% Lezgins (Behar) @ 4.18
12 88.4% Kamsali (Reich) + 11.6% Lezgins (Behar) @ 4.3
13 79.2% Vysya (Reich) + 20.8% Kalash (HGDP) @ 4.31
14 90.4% INS (SGVP) + 9.6% Kalash (HGDP) @ 4.4
15 95.2% INS (SGVP) + 4.8% Lezgins (Behar) @ 4.41
16 50.1% Velama (Reich) + 49.9% Lodi (Reich) @ 4.43
17 88.4% Lodi (Reich) + 11.6% Kalash (HGDP) @ 4.48
18 95.6% INS (SGVP) + 4.4% Georgians (Behar) @ 4.48
19 95.4% INS (SGVP) + 4.6% Adygei (HGDP) @ 4.51
20 89% Vysya (Reich) + 11% Adygei (HGDP) @ 4.53

Leto
05-16-2018, 09:53 PM
Dodecad V3 Oracle results:

Admix Results (sorted):

# Population Percent
1 West_European 38.28
2 East_European 32.52
3 Mediterranean 15.15
4 West_Asian 6.14
5 Northeast_Asian 4.79
6 Southwest_Asian 1.83
7 South_Asian 0.68
8 Southeast_Asian 0.62

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 12.04
2 Mixed_Slav (Dodecad) 12.28
3 Polish (Dodecad) 12.83
4 Slovenian (Xing) 13.37
5 Russian (Dodecad) 16.05
6 Finnish (Dodecad) 17.19
7 FIN (1000Genomes) 17.85
8 Russian (HGDP) 18.67
9 German (Dodecad) 20.84
10 Balkans (Dodecad) 20.85
11 Belorussian (Behar) 23.51
12 Romanians_14 (Behar) 25.42
13 N._European (Xing) 25.82
14 Argyll (1000 Genomes) 26.2
15 CEU (HapMap) 26.28
16 Chuvashs_16 (Behar) 26.48
17 Lithuanians (Behar) 26.81
18 Orcadian (HGDP) 27.22
19 Orkney (1000 Genomes) 27.31
20 Lithuanian (Dodecad) 29.26

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 59.7% Finnish (Dodecad) + 40.3% Romanians_14 (Behar) @ 1.39
2 64.5% Russian (HGDP) + 35.5% French (HGDP) @ 1.6
3 54.9% Finnish (Dodecad) + 45.1% Balkans (Dodecad) @ 1.99
4 71.6% Finnish (Dodecad) + 28.4% Greek (Dodecad) @ 2.51
5 58.6% Russian (HGDP) + 41.4% CEU (HapMap) @ 3.12
6 58.6% Slovenian (Xing) + 41.4% Russian (HGDP) @ 3.12
7 58.3% Russian (HGDP) + 41.7% N._European (Xing) @ 3.57
8 73.9% Finnish (Dodecad) + 26.1% Sicilian (Dodecad) @ 3.61
9 74.7% Finnish (Dodecad) + 25.3% S_Italian (Dodecad) @ 3.82
10 59.6% Russian (HGDP) + 40.4% Orcadian (HGDP) @ 3.93
11 58.7% Russian (HGDP) + 41.3% Argyll (1000 Genomes) @ 3.95
12 52.9% Russian (HGDP) + 47.1% German (Dodecad) @ 4.06
13 59.7% Russian (HGDP) + 40.3% Orkney (1000 Genomes) @ 4.07
14 67.5% Russian (Dodecad) + 32.5% Mixed_Germanic (Dodecad) @ 4.07
15 68.6% Russian (Dodecad) + 31.4% Dutch (Dodecad) @ 4.12
16 70% Russian (HGDP) + 30% French_Basque (HGDP) @ 4.2
17 73.8% Finnish (Dodecad) + 26.2% S_Italian_Sicilian (Dodecad) @ 4.36
18 69.8% Russian (Dodecad) + 30.2% Kent (1000 Genomes) @ 4.42
19 59.8% Hungarians (Behar) + 40.2% Finnish (Dodecad) @ 4.5
20 75.2% Finnish (Dodecad) + 24.8% Sephardic_Jews (Behar) @ 4.52
Father

Admix Results (sorted):

# Population Percent
1 West_European 39.98
2 East_European 35.61
3 Mediterranean 16.24
4 West_Asian 5.69
5 Northeast_Asian 1.28
6 South_Asian 0.73
7 Southeast_Asian 0.48

Single Population Sharing:

# Population (source) Distance
1 Polish (Dodecad) 9.71
2 Mixed_Slav (Dodecad) 10.09
3 Hungarians (Behar) 12.41
4 Slovenian (Xing) 14.36
5 Russian (Dodecad) 14.84
6 Finnish (Dodecad) 17.01
7 FIN (1000Genomes) 18.02
8 Russian (HGDP) 18.35
9 Belorussian (Behar) 21.22
10 German (Dodecad) 21.23
11 Balkans (Dodecad) 21.5
12 Lithuanians (Behar) 24.3
13 Romanians_14 (Behar) 26.59
14 N._European (Xing) 26.72
15 Argyll (1000 Genomes) 26.81
16 Lithuanian (Dodecad) 26.86
17 CEU (HapMap) 26.94
18 Orcadian (HGDP) 27.74
19 Orkney (1000 Genomes) 27.84
20 Chuvashs_16 (Behar) 29.18

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.9% Mixed_Slav (Dodecad) + 20.1% Irish (Dodecad) @ 0.83
2 79% Mixed_Slav (Dodecad) + 21% British_Isles (Dodecad) @ 1.02
3 79.2% Mixed_Slav (Dodecad) + 20.8% British (Dodecad) @ 1.11
4 79.5% Mixed_Slav (Dodecad) + 20.5% Cornwall (1000 Genomes) @ 1.12
5 78.5% Mixed_Slav (Dodecad) + 21.5% Kent (1000 Genomes) @ 1.25
6 77.7% Mixed_Slav (Dodecad) + 22.3% Dutch (Dodecad) @ 1.45
7 76.9% Mixed_Slav (Dodecad) + 23.1% Mixed_Germanic (Dodecad) @ 1.52
8 77.7% Mixed_Slav (Dodecad) + 22.3% Norwegian (Dodecad) @ 1.65
9 64.6% Russian (Dodecad) + 35.4% CEU (HapMap) @ 1.7
10 65.3% Russian (Dodecad) + 34.7% Orcadian (HGDP) @ 1.7
11 72.9% Mixed_Slav (Dodecad) + 27.1% Argyll (1000 Genomes) @ 1.72
12 68% Mixed_Slav (Dodecad) + 32% German (Dodecad) @ 1.73
13 73.7% Mixed_Slav (Dodecad) + 26.3% Orkney (1000 Genomes) @ 1.8
14 65.4% Russian (Dodecad) + 34.6% Orkney (1000 Genomes) @ 1.81
15 59% Russian (Dodecad) + 41% German (Dodecad) @ 1.85
16 64.5% Russian (Dodecad) + 35.5% Argyll (1000 Genomes) @ 1.9
17 73.6% Mixed_Slav (Dodecad) + 26.4% Orcadian (HGDP) @ 1.91
18 75.9% Mixed_Slav (Dodecad) + 24.1% Swedish (Dodecad) @ 1.92
19 72.9% Mixed_Slav (Dodecad) + 27.1% N._European (Xing) @ 2.02
20 61.1% Belorussian (Behar) + 38.9% Mixed_Germanic (Dodecad) @ 2.15

Mother

Admix Results (sorted):

# Population Percent
1 West_European 37.19
2 East_European 32.99
3 Mediterranean 12.7
4 Northeast_Asian 6.66
5 West_Asian 6.55
6 Southwest_Asian 1.71
7 Southeast_Asian 1.34
8 South_Asian 0.69
9 Northwest_African 0.17

Single Population Sharing:

# Population (source) Distance
1 Mixed_Slav (Dodecad) 12.67
2 Polish (Dodecad) 13.84
3 Hungarians (Behar) 14.78
4 Russian (Dodecad) 15.2
5 Slovenian (Xing) 15.9
6 Finnish (Dodecad) 16.37
7 Russian (HGDP) 17.04
8 FIN (1000Genomes) 18.26
9 Balkans (Dodecad) 22.52
10 German (Dodecad) 23.09
11 Belorussian (Behar) 23.42
12 Chuvashs_16 (Behar) 23.47
13 Lithuanians (Behar) 26.32
14 Romanians_14 (Behar) 26.91
15 N._European (Xing) 27.81
16 Argyll (1000 Genomes) 28.24
17 CEU (HapMap) 28.45
18 Lithuanian (Dodecad) 28.64
19 Orcadian (HGDP) 29.32
20 Orkney (1000 Genomes) 29.4

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.6% Finnish (Dodecad) + 37.4% Romanians_14 (Behar) @ 3.93
2 50.4% German (Dodecad) + 49.6% Chuvashs_16 (Behar) @ 3.97
3 68.4% Russian (HGDP) + 31.6% French (HGDP) @ 3.98
4 73.5% Finnish (Dodecad) + 26.5% Greek (Dodecad) @ 4.08
5 62.5% Russian (HGDP) + 37.5% N._European (Xing) @ 4.46
6 58.4% Finnish (Dodecad) + 41.6% Balkans (Dodecad) @ 4.47
7 63.1% Russian (HGDP) + 36.9% CEU (HapMap) @ 4.56
8 78.6% Finnish (Dodecad) + 21.4% Cypriots (Behar) @ 4.73
9 63% Russian (HGDP) + 37% Argyll (1000 Genomes) @ 4.87
10 51.9% Slovenian (Xing) + 48.1% Russian (HGDP) @ 4.96
11 75.8% Finnish (Dodecad) + 24.2% Sicilian (Dodecad) @ 4.98
12 63.9% Russian (HGDP) + 36.1% Orcadian (HGDP) @ 5.01
13 76.5% Finnish (Dodecad) + 23.5% S_Italian (Dodecad) @ 5.02
14 67.6% Russian (HGDP) + 32.4% Mixed_Germanic (Dodecad) @ 5.06
15 64% Russian (HGDP) + 36% Orkney (1000 Genomes) @ 5.07
16 76.8% Finnish (Dodecad) + 23.2% Sephardic_Jews (Behar) @ 5.14
17 68.7% Russian (HGDP) + 31.3% Dutch (Dodecad) @ 5.19
18 58.1% Russian (HGDP) + 41.9% German (Dodecad) @ 5.3
19 60.4% Slovenian (Xing) + 39.6% Chuvashs_16 (Behar) @ 5.36
20 55% Chuvashs_16 (Behar) + 45% CEU (HapMap) @ 5.49

Modernancientdna
05-16-2018, 10:11 PM
Admix Results (sorted):

# Population Percent
1 West_European 35.84
2 East_European 32.64
3 Mediterranean 21.59
4 West_Asian 6.58
5 South_Asian 1.43
6 Northeast_Asian 1.23
7 Southeast_Asian 0.55
8 East_African 0.15

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 7.07
2 Slovenian (Xing) 10.77
3 Polish (Dodecad) 11.99
4 Mixed_Slav (Dodecad) 12.21
5 Balkans (Dodecad) 15.11
6 Russian (Dodecad) 18.07
7 Romanians_14 (Behar) 20.23
8 German (Dodecad) 20.89
9 Russian (HGDP) 22.16
10 FIN (1000Genomes) 22.95
11 Belorussian (Behar) 23.13
12 Finnish (Dodecad) 23.35
13 CEU (HapMap) 25.66
14 N._European (Xing) 25.91
15 Argyll (1000 Genomes) 26.13
16 Orcadian (HGDP) 26.92
17 Orkney (1000 Genomes) 27.12
18 Lithuanians (Behar) 28.22
19 Lithuanian (Dodecad) 30.76
20 Chuvashs_16 (Behar) 30.83

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 63.7% Hungarians (Behar) + 36.3% Mixed_Slav (Dodecad) @ 1.46
2 72.3% Hungarians (Behar) + 27.7% Russian (Dodecad) @ 1.48
3 81.7% Hungarians (Behar) + 18.3% Lithuanian (Dodecad) @ 1.55
4 80.3% Hungarians (Behar) + 19.7% Lithuanians (Behar) @ 1.57
5 63.4% Hungarians (Behar) + 36.6% Polish (Dodecad) @ 1.72
6 76.5% Hungarians (Behar) + 23.5% Russian (HGDP) @ 1.96
7 77.3% Hungarians (Behar) + 22.7% Belorussian (Behar) @ 2.1
8 68.6% Slovenian (Xing) + 31.4% Belorussian (Behar) @ 2.24
9 52.8% Slovenian (Xing) + 47.2% Polish (Dodecad) @ 2.52
10 53.3% Slovenian (Xing) + 46.7% Mixed_Slav (Dodecad) @ 2.56
11 72.8% Mixed_Slav (Dodecad) + 27.2% French (HGDP) @ 2.68
12 76.1% Mixed_Slav (Dodecad) + 23.9% Spaniards (Behar) @ 2.8
13 77% Mixed_Slav (Dodecad) + 23% French_Basque (HGDP) @ 3.03
14 76.1% Mixed_Slav (Dodecad) + 23.9% IBS (1000Genomes) @ 3.13
15 68% Russian (Dodecad) + 32% Spaniards (Behar) @ 3.13
16 76.2% Mixed_Slav (Dodecad) + 23.8% Spanish (Dodecad) @ 3.17
17 75.1% Mixed_Slav (Dodecad) + 24.9% Portuguese (Dodecad) @ 3.21
18 61.1% Balkans (Dodecad) + 38.9% Finnish (Dodecad) @ 3.38
19 67.9% Russian (Dodecad) + 32.1% IBS (1000Genomes) @ 3.52
20 63.5% Slovenian (Xing) + 36.5% Russian (Dodecad) @ 3.54

jshook
05-17-2018, 05:16 PM
Posting this because Dodecad was a significant source of confusion for me last year when I first got my vague "Asia East" results from Ancestry. I was told that Dodecad was great for Asians, but for me, it really, really wanted to assign me Southeast Asian heritage in northeast India, specifically Nysha and Aonaga. Not sure what's up with that. It appears that it, at least in my case, it can't handle Japanese DNA.

Ancestry DNA results
# Population Percent
1 West_European 39.39
2 Southeast_Asian 19.13
3 Mediterranean 17.97
4 East_European 9.76
5 Northeast_Asian 6.94
6 West_Asian 4.43
7 South_Asian 2.37


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Slovenian_Xing @ 24.981045
2 N._European_Xing @ 25.747028
3 German_Dodecad @ 25.820023
4 CEU_HapMap @ 26.315042
5 Argyll_1000 Genomes @ 26.794067
6 Orcadian_HGDP @ 27.345600
7 Orkney_1000 Genomes @ 27.398991
8 Hungarians_Behar @ 27.430532
9 French_HGDP @ 29.489149
10 French_Dodecad @ 29.560474
11 Mixed_Germanic_Dodecad @ 30.225584
12 Dutch_Dodecad @ 31.286741
13 Kent_1000 Genomes @ 33.021221
14 Tuscan_Xing @ 33.712418
15 FIN_1000Genomes @ 33.771641
16 Tuscan_Henn @ 33.944935
17 Swedish_Dodecad @ 34.012493
18 British_Isles_Dodecad @ 34.194099
19 British_Dodecad @ 34.264805
20 TSI_HapMap @ 34.289837

Using 2 populations approximation:
1 50% British_Isles_Dodecad +50% Kyrgyzstani_Xing @ 11.889278


Using 3 populations approximation:
1 50% CEU_HapMap +25% German_Dodecad +25% Aonaga_Reich @ 2.564677


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 FIN_1000Genomes + Irish_Dodecad + N_Italian_Dodecad + Nysha_Reich @ 1.999029
2 FIN_1000Genomes + Irish_Dodecad + N_Italian_Dodecad + Aonaga_Reich @ 2.138327
3 FIN_1000Genomes + French_HGDP + French_HGDP + Nysha_Reich @ 2.190505
4 British_Isles_Dodecad + FIN_1000Genomes + N_Italian_Dodecad + Nysha_Reich @ 2.230094
5 British_Dodecad + FIN_1000Genomes + N_Italian_Dodecad + Nysha_Reich @ 2.273762
6 Cornwall_1000 Genomes + FIN_1000Genomes + N_Italian_Dodecad + Nysha_Reich @ 2.317661
7 FIN_1000Genomes + French_HGDP + French_HGDP + Aonaga_Reich @ 2.322753
8 British_Isles_Dodecad + FIN_1000Genomes + N_Italian_Dodecad + Aonaga_Reich @ 2.350930
9 FIN_1000Genomes + North_Italian_HGDP + Norwegian_Dodecad + Nysha_Reich @ 2.355322
10 British_Dodecad + Hungarians_Behar + Orkney_1000 Genomes + Aonaga_Reich @ 2.384818
11 FIN_1000Genomes + North_Italian_HGDP + Norwegian_Dodecad + Aonaga_Reich @ 2.403691
12 British_Dodecad + Hungarians_Behar + Orkney_1000 Genomes + Nysha_Reich @ 2.406384
13 British_Dodecad + FIN_1000Genomes + N_Italian_Dodecad + Aonaga_Reich @ 2.411187
14 FIN_1000Genomes + Irish_Dodecad + North_Italian_HGDP + Nysha_Reich @ 2.414262
15 French_HGDP + Hungarians_Behar + Norwegian_Dodecad + Nysha_Reich @ 2.440653
16 British_Dodecad + Hungarians_Behar + Orcadian_HGDP + Aonaga_Reich @ 2.443861
17 French_HGDP + Hungarians_Behar + Norwegian_Dodecad + Aonaga_Reich @ 2.444458
18 British_Dodecad + Hungarians_Behar + Japanese_HGDP + Orkney_1000 Genomes @ 2.449016
19 British_Isles_Dodecad + Hungarians_Behar + Orkney_1000 Genomes + Aonaga_Reich @ 2.449665
20 British_Dodecad + Hungarians_Behar + Korean_Dodecad + Orkney_1000 Genomes @ 2.450454

23andMe Results (Genesis)

# Population Percent
1 West_European 39.20
2 Mediterranean 19.28
3 Southeast_Asian 18.04
4 East_European 10.64
5 Northeast_Asian 6.75
6 West_Asian 3.10
7 South_Asian 2.79


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Slovenian_Xing @ 23.778408
2 German_Dodecad @ 24.843010
3 N._European_Xing @ 25.021130
4 CEU_HapMap @ 25.423212
5 Hungarians_Behar @ 26.024582
6 Argyll_1000 Genomes @ 26.051910
7 Orcadian_HGDP @ 26.535830
8 Orkney_1000 Genomes @ 26.602741
9 French_Dodecad @ 28.438560
10 French_HGDP @ 28.531614
11 Mixed_Germanic_Dodecad @ 29.922796
12 Dutch_Dodecad @ 30.872408
13 Kent_1000 Genomes @ 32.669579
14 FIN_1000Genomes @ 33.051296
15 Portuguese_Dodecad @ 33.064564
16 Tuscan_Xing @ 33.076000
17 Balkans_Dodecad @ 33.230686
18 Tuscan_Henn @ 33.262131
19 TSI_HapMap @ 33.682156
20 Swedish_Dodecad @ 33.717331

Using 2 populations approximation:
1 50% Orkney_1000 Genomes +50% Kyrgyzstani_Xing @ 13.291306


Using 3 populations approximation:
1 50% CEU_HapMap +25% German_Dodecad +25% Nysha_Reich @ 3.306569


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++
1 FIN_1000Genomes + Spaniards_Behar + Argyll_1000 Genomes + Nysha_Reich @ 1.868013
2 FIN_1000Genomes + French_Dodecad + French_Dodecad + Nysha_Reich @ 1.890553
3 FIN_1000Genomes + Orkney_1000 Genomes + Spaniards_Behar + Nysha_Reich @ 1.906398
4 FIN_1000Genomes + French_HGDP + French_Dodecad + Nysha_Reich @ 1.952067
5 FIN_1000Genomes + Orcadian_HGDP + Spaniards_Behar + Nysha_Reich @ 1.979851
6 Finnish_Dodecad + Kent_1000 Genomes + Spaniards_Behar + Nysha_Reich @ 2.124523
7 Cornwall_1000 Genomes + Finnish_Dodecad + Spaniards_Behar + Nysha_Reich @ 2.170374
8 FIN_1000Genomes + French_HGDP + French_HGDP + Nysha_Reich @ 2.186714
9 FIN_1000Genomes + Spaniards_Behar + N._European_Xing + Nysha_Reich @ 2.191796
10 British_Dodecad + Finnish_Dodecad + Spaniards_Behar + Nysha_Reich @ 2.203367
11 FIN_1000Genomes + Mixed_Germanic_Dodecad + Spanish_Dodecad + Nysha_Reich @ 2.207839
12 FIN_1000Genomes + Mixed_Germanic_Dodecad + Spaniards_Behar + Nysha_Reich @ 2.212586
13 Cornwall_1000 Genomes + Finnish_Dodecad + IBS_1000Genomes + Nysha_Reich @ 2.220247
14 Cornwall_1000 Genomes + Finnish_Dodecad + Spanish_Dodecad + Nysha_Reich @ 2.228159
15 FIN_1000Genomes + French_Basque_HGDP + N._European_Xing + Nysha_Reich @ 2.239195
16 FIN_1000Genomes + IBS_1000Genomes + Mixed_Germanic_Dodecad + Nysha_Reich @ 2.252008
17 FIN_1000Genomes + Spanish_Dodecad + Argyll_1000 Genomes + Nysha_Reich @ 2.268824
18 CEU_HapMap + FIN_1000Genomes + French_Basque_HGDP + Nysha_Reich @ 2.285766
19 FIN_1000Genomes + Orkney_1000 Genomes + Spanish_Dodecad + Nysha_Reich @ 2.291754
20 British_Isles_Dodecad + Finnish_Dodecad + Spaniards_Behar + Nysha_Reich @ 2.300118

Living DNA Results (Genesis)
# Population Percent
1 West_European 39.35
2 Mediterranean 18.69
3 Southeast_Asian 18.06
4 East_European 10.83
5 Northeast_Asian 6.84
6 West_Asian 3.17
7 South_Asian 2.44


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Slovenian_Xing @ 23.790146
2 German_Dodecad @ 24.793495
3 N._European_Xing @ 25.021564
4 CEU_HapMap @ 25.490837
5 Argyll_1000 Genomes @ 26.057468
6 Hungarians_Behar @ 26.071230
7 Orcadian_HGDP @ 26.570076
8 Orkney_1000 Genomes @ 26.629602
9 French_Dodecad @ 28.743044
10 French_HGDP @ 28.813572
11 Mixed_Germanic_Dodecad @ 29.903522
12 Dutch_Dodecad @ 30.892626
13 FIN_1000Genomes @ 32.674812
14 Kent_1000 Genomes @ 32.678715
15 Balkans_Dodecad @ 33.400665
16 Tuscan_Xing @ 33.441288
17 Swedish_Dodecad @ 33.495560
18 Portuguese_Dodecad @ 33.546619
19 Tuscan_Henn @ 33.637718
20 British_Isles_Dodecad @ 33.871521

Using 2 populations approximation:
1 50% British_Isles_Dodecad +50% Kyrgyzstani_Xing @ 13.041224


Using 3 populations approximation:
1 50% CEU_HapMap +25% German_Dodecad +25% Nysha_Reich @ 3.102518


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++
1 Finnish_Dodecad + Kent_1000 Genomes + Spaniards_Behar + Nysha_Reich @ 1.783559
2 Cornwall_1000 Genomes + Finnish_Dodecad + Spaniards_Behar + Nysha_Reich @ 1.806319
3 British_Dodecad + Finnish_Dodecad + Spaniards_Behar + Nysha_Reich @ 1.840226
4 British_Isles_Dodecad + Finnish_Dodecad + Spaniards_Behar + Nysha_Reich @ 1.883124
5 FIN_1000Genomes + French_HGDP + French_Dodecad + Nysha_Reich @ 1.907023
6 Cornwall_1000 Genomes + Finnish_Dodecad + Spanish_Dodecad + Nysha_Reich @ 1.918897
7 FIN_1000Genomes + French_Dodecad + French_Dodecad + Nysha_Reich @ 1.923151
8 Cornwall_1000 Genomes + Finnish_Dodecad + IBS_1000Genomes + Nysha_Reich @ 1.952394
9 FIN_1000Genomes + North_Italian_HGDP + Norwegian_Dodecad + Nysha_Reich @ 1.984212
10 British_Dodecad + Finnish_Dodecad + IBS_1000Genomes + Nysha_Reich @ 2.011105
11 British_Dodecad + Finnish_Dodecad + Spanish_Dodecad + Nysha_Reich @ 2.018843
12 FIN_1000Genomes + Spaniards_Behar + Argyll_1000 Genomes + Nysha_Reich @ 2.031730
13 Dutch_Dodecad + Finnish_Dodecad + Spaniards_Behar + Nysha_Reich @ 2.046112
14 British_Isles_Dodecad + Finnish_Dodecad + Spanish_Dodecad + Nysha_Reich @ 2.052974
15 British_Isles_Dodecad + Finnish_Dodecad + IBS_1000Genomes + Nysha_Reich @ 2.056194
16 Finnish_Dodecad + Kent_1000 Genomes + Spanish_Dodecad + Nysha_Reich @ 2.063560
17 FIN_1000Genomes + French_HGDP + French_HGDP + Nysha_Reich @ 2.066678
18 FIN_1000Genomes + French_Basque_HGDP + N._European_Xing + Nysha_Reich @ 2.089650
19 Finnish_Dodecad + IBS_1000Genomes + Irish_Dodecad + Nysha_Reich @ 2.116638
20 Finnish_Dodecad + IBS_1000Genomes + Kent_1000 Genomes + Nysha_Reich @ 2.124378

Leto
05-17-2018, 06:40 PM
Posting this because Dodecad was a significant source of confusion for me last year when I first got my vague "Asia East" results from Ancestry. I was told that Dodecad was great for Asians, but for me, it really, really wanted to assign me Southeast Asian heritage in northeast India, specifically Nysha and Aonaga. Not sure what's up with that. It appears that it, at least in my case, it can't handle Japanese DNA.

This is what a full Japanese person gets

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 69.93
2 Northeast_Asian 25.85
3 South_Asian 2.99
4 East_European 1.04
5 Palaeo_African 0.14
6 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 Japanese (Dodecad) 1.96
2 Korean (Dodecad) 5.66
3 Nysha (Reich) 5.71
4 Tu (HGDP) 5.92
5 Aonaga (Reich) 6.77
6 Japanese (HGDP) 6.91
7 Xibo (HGDP) 7.89
8 Mongola (HGDP) 12.86
9 Chinese (Dodecad) 13.75
10 Naxi (HGDP) 14.43
11 Yizu (HGDP) 15.02
12 Daur (HGDP) 17.03
13 JPT (HapMap) 17.04
14 Hezhen (HGDP) 18.67
15 Han (HGDP) 19.1
16 CHB (HapMap) 21.19
17 She (HGDP) 21.23
18 Tujia (HGDP) 21.3
19 Vietnamese (Xing) 23.36
20 Khmer_Cambodian (Xing) 25.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.2% Japanese (Dodecad) + 2.8% Kharia (Reich) @ 0.34
2 97.6% Japanese (Dodecad) + 2.4% Santhal (Reich) @ 0.42
3 97.5% Japanese (Dodecad) + 2.5% Sahariya (Reich) @ 0.47
4 98% Japanese (Dodecad) + 2% Chenchu (Reich) @ 0.53
5 97.8% Japanese (Dodecad) + 2.2% Satnami (Reich) @ 0.54
6 98% Japanese (Dodecad) + 2% AP_Mala (Xing) @ 0.56
7 97.9% Japanese (Dodecad) + 2.1% Kurumba (Reich) @ 0.57
8 98.2% Japanese (Dodecad) + 1.8% North_Kannadi (Behar) @ 0.57
9 98% Japanese (Dodecad) + 2% AP_Madiga (Xing) @ 0.57
10 98% Japanese (Dodecad) + 2% Mala (Reich) @ 0.57
11 98% Japanese (Dodecad) + 2% Madiga (Reich) @ 0.57
12 98% Japanese (Dodecad) + 2% Kamsali (Reich) @ 0.58
13 98.3% Japanese (Dodecad) + 1.7% Irula (Xing) @ 0.59
14 98% Japanese (Dodecad) + 2% Bhil (Reich) @ 0.59
15 98% Japanese (Dodecad) + 2% Vysya (Reich) @ 0.59
16 98.1% Japanese (Dodecad) + 1.9% TN_Dalit (Xing) @ 0.6
17 98% Japanese (Dodecad) + 2% Hallaki (Reich) @ 0.63
18 98% Japanese (Dodecad) + 2% Lodi (Reich) @ 0.63
19 98% Japanese (Dodecad) + 2% Naidu (Reich) @ 0.63
20 97.9% Japanese (Dodecad) + 2.1% Tharu (Reich) @ 0.65

jshook
05-17-2018, 06:44 PM
This is what a full Japanese person gets

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 69.93
2 Northeast_Asian 25.85
3 South_Asian 2.99
4 East_European 1.04
5 Palaeo_African 0.14
6 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 Japanese (Dodecad) 1.96
2 Korean (Dodecad) 5.66
3 Nysha (Reich) 5.71
4 Tu (HGDP) 5.92
5 Aonaga (Reich) 6.77
6 Japanese (HGDP) 6.91
7 Xibo (HGDP) 7.89
8 Mongola (HGDP) 12.86
9 Chinese (Dodecad) 13.75
10 Naxi (HGDP) 14.43
11 Yizu (HGDP) 15.02
12 Daur (HGDP) 17.03
13 JPT (HapMap) 17.04
14 Hezhen (HGDP) 18.67
15 Han (HGDP) 19.1
16 CHB (HapMap) 21.19
17 She (HGDP) 21.23
18 Tujia (HGDP) 21.3
19 Vietnamese (Xing) 23.36
20 Khmer_Cambodian (Xing) 25.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.2% Japanese (Dodecad) + 2.8% Kharia (Reich) @ 0.34
2 97.6% Japanese (Dodecad) + 2.4% Santhal (Reich) @ 0.42
3 97.5% Japanese (Dodecad) + 2.5% Sahariya (Reich) @ 0.47
4 98% Japanese (Dodecad) + 2% Chenchu (Reich) @ 0.53
5 97.8% Japanese (Dodecad) + 2.2% Satnami (Reich) @ 0.54
6 98% Japanese (Dodecad) + 2% AP_Mala (Xing) @ 0.56
7 97.9% Japanese (Dodecad) + 2.1% Kurumba (Reich) @ 0.57
8 98.2% Japanese (Dodecad) + 1.8% North_Kannadi (Behar) @ 0.57
9 98% Japanese (Dodecad) + 2% AP_Madiga (Xing) @ 0.57
10 98% Japanese (Dodecad) + 2% Mala (Reich) @ 0.57
11 98% Japanese (Dodecad) + 2% Madiga (Reich) @ 0.57
12 98% Japanese (Dodecad) + 2% Kamsali (Reich) @ 0.58
13 98.3% Japanese (Dodecad) + 1.7% Irula (Xing) @ 0.59
14 98% Japanese (Dodecad) + 2% Bhil (Reich) @ 0.59
15 98% Japanese (Dodecad) + 2% Vysya (Reich) @ 0.59
16 98.1% Japanese (Dodecad) + 1.9% TN_Dalit (Xing) @ 0.6
17 98% Japanese (Dodecad) + 2% Hallaki (Reich) @ 0.63
18 98% Japanese (Dodecad) + 2% Lodi (Reich) @ 0.63
19 98% Japanese (Dodecad) + 2% Naidu (Reich) @ 0.63
20 97.9% Japanese (Dodecad) + 2.1% Tharu (Reich) @ 0.65

Very interesting. I wonder what it is about my DNA that confuses it. I have zero southeast Asian ancestry whatsoever but, as you can see, Japanese only shows up once at all in ANY of my results (and that's at the 18th closest match of my 4-pop Ancestry result.)

jshook
05-17-2018, 06:47 PM
On the two-population Oracle, it does somewhat better and at least gets me in the ballpark with 23andME. But still wants me to be Nysha or Tu before Japanese.

Ancestry
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 74.1% CEU (HapMap) + 25.9% Nysha (Reich) @ 3.4
2 73.5% CEU (HapMap) + 26.5% Tu (HGDP) @ 3.7
3 74.8% CEU (HapMap) + 25.2% Aonaga (Reich) @ 3.83
4 72.8% CEU (HapMap) + 27.2% Xibo (HGDP) @ 3.87
5 73.5% Orcadian (HGDP) + 26.5% Nysha (Reich) @ 3.89
6 75% CEU (HapMap) + 25% Korean (Dodecad) @ 3.91
7 73.4% Orkney (1000 Genomes) + 26.6% Nysha (Reich) @ 4
8 75.2% CEU (HapMap) + 24.8% Japanese (HGDP) @ 4.03
9 73.6% Orcadian (HGDP) + 26.4% Japanese (Dodecad) @ 4.05
10 72.9% Orcadian (HGDP) + 27.1% Tu (HGDP) @ 4.06
11 73.8% Argyll (1000 Genomes) + 26.2% Nysha (Reich) @ 4.07
12 72.8% Orkney (1000 Genomes) + 27.2% Tu (HGDP) @ 4.13
13 73.6% Orkney (1000 Genomes) + 26.4% Japanese (Dodecad) @ 4.13
14 72.1% Orcadian (HGDP) + 27.9% Xibo (HGDP) @ 4.16
15 72% Orkney (1000 Genomes) + 28% Xibo (HGDP) @ 4.21
16 74% Argyll (1000 Genomes) + 26% Japanese (Dodecad) @ 4.23
17 74.5% German (Dodecad) + 25.5% Nysha (Reich) @ 4.28
18 73.2% Argyll (1000 Genomes) + 26.8% Tu (HGDP) @ 4.33
19 74.2% Orcadian (HGDP) + 25.8% Aonaga (Reich) @ 4.37
20 75.3% German (Dodecad) + 24.7% Korean (Dodecad) @ 4.41

Living DNA (Genesis)
Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.9% CEU (HapMap) + 27.1% Nysha (Reich) @ 2.18
2 72.7% Argyll (1000 Genomes) + 27.3% Nysha (Reich) @ 2.24
3 72.3% Orcadian (HGDP) + 27.7% Nysha (Reich) @ 2.32
4 72.3% Orkney (1000 Genomes) + 27.7% Nysha (Reich) @ 2.4
5 71.7% Orcadian (HGDP) + 28.3% Tu (HGDP) @ 2.43
6 71.6% Orkney (1000 Genomes) + 28.4% Tu (HGDP) @ 2.44
7 72.3% CEU (HapMap) + 27.7% Tu (HGDP) @ 2.47
8 72.8% Argyll (1000 Genomes) + 27.2% Japanese (Dodecad) @ 2.48
9 72% Argyll (1000 Genomes) + 28% Tu (HGDP) @ 2.53
10 72.5% Orcadian (HGDP) + 27.5% Japanese (Dodecad) @ 2.54
11 72.5% Orkney (1000 Genomes) + 27.5% Japanese (Dodecad) @ 2.58
12 73.6% CEU (HapMap) + 26.4% Aonaga (Reich) @ 2.63
13 73.3% Argyll (1000 Genomes) + 26.7% Aonaga (Reich) @ 2.69
14 73.8% CEU (HapMap) + 26.2% Korean (Dodecad) @ 2.71
15 73.5% Argyll (1000 Genomes) + 26.5% Korean (Dodecad) @ 2.79
16 73.4% N._European (Xing) + 26.6% Nysha (Reich) @ 2.85
17 74% CEU (HapMap) + 26% Japanese (HGDP) @ 2.85
18 70.9% Orkney (1000 Genomes) + 29.1% Xibo (HGDP) @ 2.9
19 73% Orcadian (HGDP) + 27% Aonaga (Reich) @ 2.9
20 70.9% Orcadian (HGDP) + 29.1% Xibo (HGDP) @ 2.91

23andMe (Genesis)
Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74% CEU (HapMap) + 26% Nysha (Reich) @ 3.42
2 73.4% CEU (HapMap) + 26.6% Tu (HGDP) @ 3.65
3 74.6% German (Dodecad) + 25.4% Japanese (Dodecad) @ 3.7
4 72.7% CEU (HapMap) + 27.3% Xibo (HGDP) @ 3.72
5 73.4% Orcadian (HGDP) + 26.6% Nysha (Reich) @ 3.77
6 74.7% CEU (HapMap) + 25.3% Aonaga (Reich) @ 3.82
7 74.9% CEU (HapMap) + 25.1% Korean (Dodecad) @ 3.84
8 73.7% Argyll (1000 Genomes) + 26.3% Nysha (Reich) @ 3.84
9 73.6% Orcadian (HGDP) + 26.4% Japanese (Dodecad) @ 3.84
10 73.4% Orkney (1000 Genomes) + 26.6% Nysha (Reich) @ 3.85
11 74.5% German (Dodecad) + 25.5% Nysha (Reich) @ 3.86
12 72.8% Orcadian (HGDP) + 27.2% Tu (HGDP) @ 3.88
13 72% Orcadian (HGDP) + 28% Xibo (HGDP) @ 3.88
14 72% Orkney (1000 Genomes) + 28% Xibo (HGDP) @ 3.91
15 73.5% Orkney (1000 Genomes) + 26.5% Japanese (Dodecad) @ 3.91
16 75.3% German (Dodecad) + 24.7% Korean (Dodecad) @ 3.91
17 72.8% Orkney (1000 Genomes) + 27.2% Tu (HGDP) @ 3.92
18 73.9% Argyll (1000 Genomes) + 26.1% Japanese (Dodecad) @ 3.92
19 75.5% German (Dodecad) + 24.5% Japanese (HGDP) @ 3.94
20 75.1% German (Dodecad) + 24.9% Aonaga (Reich) @ 3.98

Leto
05-17-2018, 06:54 PM
Very interesting. I wonder what it is about my DNA that confuses it. I have zero southeast Asian ancestry whatsoever but, as you can see, Japanese only shows up once at all in ANY of my results (and that's at the 18th closest match of my 4-pop Ancestry result.)
Try these ones too
https://anthrogenica.com/showthread.php?3520-Post-your-Dodecad-K12b-Results/page21
https://anthrogenica.com/showthread.php?3539-Eurogenes-K13-Results/page99

Leto
05-17-2018, 06:56 PM
On the two-population Oracle, it does somewhat better and at least gets me in the ballpark with 23andME. But still wants me to be Nysha or Tu before Japanese.

Ancestry
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 74.1% CEU (HapMap) + 25.9% Nysha (Reich) @ 3.4
2 73.5% CEU (HapMap) + 26.5% Tu (HGDP) @ 3.7
3 74.8% CEU (HapMap) + 25.2% Aonaga (Reich) @ 3.83
4 72.8% CEU (HapMap) + 27.2% Xibo (HGDP) @ 3.87
5 73.5% Orcadian (HGDP) + 26.5% Nysha (Reich) @ 3.89
6 75% CEU (HapMap) + 25% Korean (Dodecad) @ 3.91
7 73.4% Orkney (1000 Genomes) + 26.6% Nysha (Reich) @ 4
8 75.2% CEU (HapMap) + 24.8% Japanese (HGDP) @ 4.03
9 73.6% Orcadian (HGDP) + 26.4% Japanese (Dodecad) @ 4.05
10 72.9% Orcadian (HGDP) + 27.1% Tu (HGDP) @ 4.06
11 73.8% Argyll (1000 Genomes) + 26.2% Nysha (Reich) @ 4.07
12 72.8% Orkney (1000 Genomes) + 27.2% Tu (HGDP) @ 4.13
13 73.6% Orkney (1000 Genomes) + 26.4% Japanese (Dodecad) @ 4.13
14 72.1% Orcadian (HGDP) + 27.9% Xibo (HGDP) @ 4.16
15 72% Orkney (1000 Genomes) + 28% Xibo (HGDP) @ 4.21
16 74% Argyll (1000 Genomes) + 26% Japanese (Dodecad) @ 4.23
17 74.5% German (Dodecad) + 25.5% Nysha (Reich) @ 4.28
18 73.2% Argyll (1000 Genomes) + 26.8% Tu (HGDP) @ 4.33
19 74.2% Orcadian (HGDP) + 25.8% Aonaga (Reich) @ 4.37
20 75.3% German (Dodecad) + 24.7% Korean (Dodecad) @ 4.41

Living DNA (Genesis)
Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.9% CEU (HapMap) + 27.1% Nysha (Reich) @ 2.18
2 72.7% Argyll (1000 Genomes) + 27.3% Nysha (Reich) @ 2.24
3 72.3% Orcadian (HGDP) + 27.7% Nysha (Reich) @ 2.32
4 72.3% Orkney (1000 Genomes) + 27.7% Nysha (Reich) @ 2.4
5 71.7% Orcadian (HGDP) + 28.3% Tu (HGDP) @ 2.43
6 71.6% Orkney (1000 Genomes) + 28.4% Tu (HGDP) @ 2.44
7 72.3% CEU (HapMap) + 27.7% Tu (HGDP) @ 2.47
8 72.8% Argyll (1000 Genomes) + 27.2% Japanese (Dodecad) @ 2.48
9 72% Argyll (1000 Genomes) + 28% Tu (HGDP) @ 2.53
10 72.5% Orcadian (HGDP) + 27.5% Japanese (Dodecad) @ 2.54
11 72.5% Orkney (1000 Genomes) + 27.5% Japanese (Dodecad) @ 2.58
12 73.6% CEU (HapMap) + 26.4% Aonaga (Reich) @ 2.63
13 73.3% Argyll (1000 Genomes) + 26.7% Aonaga (Reich) @ 2.69
14 73.8% CEU (HapMap) + 26.2% Korean (Dodecad) @ 2.71
15 73.5% Argyll (1000 Genomes) + 26.5% Korean (Dodecad) @ 2.79
16 73.4% N._European (Xing) + 26.6% Nysha (Reich) @ 2.85
17 74% CEU (HapMap) + 26% Japanese (HGDP) @ 2.85
18 70.9% Orkney (1000 Genomes) + 29.1% Xibo (HGDP) @ 2.9
19 73% Orcadian (HGDP) + 27% Aonaga (Reich) @ 2.9
20 70.9% Orcadian (HGDP) + 29.1% Xibo (HGDP) @ 2.91

23andMe (Genesis)
Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74% CEU (HapMap) + 26% Nysha (Reich) @ 3.42
2 73.4% CEU (HapMap) + 26.6% Tu (HGDP) @ 3.65
3 74.6% German (Dodecad) + 25.4% Japanese (Dodecad) @ 3.7
4 72.7% CEU (HapMap) + 27.3% Xibo (HGDP) @ 3.72
5 73.4% Orcadian (HGDP) + 26.6% Nysha (Reich) @ 3.77
6 74.7% CEU (HapMap) + 25.3% Aonaga (Reich) @ 3.82
7 74.9% CEU (HapMap) + 25.1% Korean (Dodecad) @ 3.84
8 73.7% Argyll (1000 Genomes) + 26.3% Nysha (Reich) @ 3.84
9 73.6% Orcadian (HGDP) + 26.4% Japanese (Dodecad) @ 3.84
10 73.4% Orkney (1000 Genomes) + 26.6% Nysha (Reich) @ 3.85
11 74.5% German (Dodecad) + 25.5% Nysha (Reich) @ 3.86
12 72.8% Orcadian (HGDP) + 27.2% Tu (HGDP) @ 3.88
13 72% Orcadian (HGDP) + 28% Xibo (HGDP) @ 3.88
14 72% Orkney (1000 Genomes) + 28% Xibo (HGDP) @ 3.91
15 73.5% Orkney (1000 Genomes) + 26.5% Japanese (Dodecad) @ 3.91
16 75.3% German (Dodecad) + 24.7% Korean (Dodecad) @ 3.91
17 72.8% Orkney (1000 Genomes) + 27.2% Tu (HGDP) @ 3.92
18 73.9% Argyll (1000 Genomes) + 26.1% Japanese (Dodecad) @ 3.92
19 75.5% German (Dodecad) + 24.5% Japanese (HGDP) @ 3.94
20 75.1% German (Dodecad) + 24.9% Aonaga (Reich) @ 3.98
Generally speaking the 23andme V5 and Living DNA raw data is the least accurate. Too small an amount of SNPs is used.

jshook
05-17-2018, 07:12 PM
Generally speaking the 23andme V5 and Living DNA raw data is the least accurate. Too small an amount of SNPs is used.

Yeah. Genesis in general is still a bit suspect. That said, both of their results are closer to what I actually am than Ancestry's full panel. *shrug*

jshook
05-17-2018, 07:19 PM
Try these ones too
https://anthrogenica.com/showthread.php?3520-Post-your-Dodecad-K12b-Results/page21
https://anthrogenica.com/showthread.php?3539-Eurogenes-K13-Results/page99

Yeah, Eurogenes is always pretty accurate for me. But somehow, the Dodecad K12b results I just ran are even worse than the V3. I'm either Korean on Mongolian (I'm not lol).

Ancestry K12b
# Primary Population (source) Secondary Population (source) Distance
1 72.5% CEU30 (1000Genomes) + 27.5% Korean (Dodecad) @ 1.85
2 72.4% English (Dodecad) + 27.6% Korean (Dodecad) @ 1.94
3 72.6% Kent (1000Genomes) + 27.4% Korean (Dodecad) @ 2.08
4 72.8% Dutch (Dodecad) + 27.2% Korean (Dodecad) @ 2.11
5 72% British_Isles (Dodecad) + 28% Korean (Dodecad) @ 2.56
6 73.2% Mixed_Germanic (Dodecad) + 26.8% Korean (Dodecad) @ 2.62
7 75.7% Mixed_Germanic (Dodecad) + 24.3% Japanese (HGDP) @ 3.12
8 75.4% Dutch (Dodecad) + 24.6% Japanese (HGDP) @ 3.14
9 75.8% Mixed_Germanic (Dodecad) + 24.2% JPT30 (Behar) @ 3.17
10 75.4% Dutch (Dodecad) + 24.6% JPT30 (Behar) @ 3.2
11 72.2% Argyll (1000Genomes) + 27.8% Korean (Dodecad) @ 3.21
12 75.1% CEU30 (1000Genomes) + 24.9% Japanese (HGDP) @ 3.27
13 72.2% British (Dodecad) + 27.8% Korean (Dodecad) @ 3.29
14 75.2% Kent (1000Genomes) + 24.8% Japanese (HGDP) @ 3.32
15 71.9% Orkney (1000Genomes) + 28.1% Korean (Dodecad) @ 3.32
16 75.1% English (Dodecad) + 24.9% Japanese (HGDP) @ 3.33
17 75.2% CEU30 (1000Genomes) + 24.8% JPT30 (Behar) @ 3.34
18 71.9% Irish (Dodecad) + 28.1% Korean (Dodecad) @ 3.36
19 75.3% Kent (1000Genomes) + 24.7% JPT30 (Behar) @ 3.39
20 71.9% Orcadian (HGDP) + 28.1% Korean (Dodecad) @ 3.39

23andMe (Genesis
# Primary Population (source) Secondary Population (source) Distance
1 72.5% British_Isles (Dodecad) + 27.5% Xibo (HGDP) @ 2.4
2 71.5% British_Isles (Dodecad) + 28.5% Mongola (HGDP) @ 2.43
3 72.3% Orkney (1000Genomes) + 27.7% Xibo (HGDP) @ 2.54
4 71.7% British_Isles (Dodecad) + 28.3% Tu (HGDP) @ 2.56
5 73.4% British_Isles (Dodecad) + 26.6% Naga (Metspalu) @ 2.61
6 72.4% Orcadian (HGDP) + 27.6% Xibo (HGDP) @ 2.65
7 72.4% Irish (Dodecad) + 27.6% Xibo (HGDP) @ 2.69
8 71.4% Orkney (1000Genomes) + 28.6% Mongola (HGDP) @ 2.73
9 73.2% Orkney (1000Genomes) + 26.8% Naga (Metspalu) @ 2.77
10 71.4% Orcadian (HGDP) + 28.6% Mongola (HGDP) @ 2.79
11 71.5% Irish (Dodecad) + 28.5% Mongola (HGDP) @ 2.81
12 73.9% English (Dodecad) + 26.1% Naga (Metspalu) @ 2.83
13 73.3% Orcadian (HGDP) + 26.7% Naga (Metspalu) @ 2.86
14 73.9% CEU30 (1000Genomes) + 26.1% Naga (Metspalu) @ 2.86
15 73% English (Dodecad) + 27% Xibo (HGDP) @ 2.87
16 73.3% Irish (Dodecad) + 26.7% Naga (Metspalu) @ 2.9
17 73% CEU30 (1000Genomes) + 27% Xibo (HGDP) @ 2.92
18 71.6% Orkney (1000Genomes) + 28.4% Tu (HGDP) @ 2.92
19 71.6% Orcadian (HGDP) + 28.4% Tu (HGDP) @ 3.03
20 72.1% English (Dodecad) + 27.9% Mongola (HGDP) @ 3.04

Living DNA (Genesis)
# Primary Population (source) Secondary Population (source) Distance
1 71.9% British_Isles (Dodecad) + 28.1% Mongola (HGDP) @ 2.1
2 72.8% British_Isles (Dodecad) + 27.2% Xibo (HGDP) @ 2.14
3 72.1% British_Isles (Dodecad) + 27.9% Tu (HGDP) @ 2.4
4 72.7% Orkney (1000Genomes) + 27.3% Xibo (HGDP) @ 2.45
5 73.8% British_Isles (Dodecad) + 26.2% Naga (Metspalu) @ 2.55
6 72.7% Orcadian (HGDP) + 27.3% Xibo (HGDP) @ 2.56
7 71.7% Orkney (1000Genomes) + 28.3% Mongola (HGDP) @ 2.58
8 72.8% Irish (Dodecad) + 27.2% Xibo (HGDP) @ 2.6
9 71.8% Orcadian (HGDP) + 28.2% Mongola (HGDP) @ 2.64
10 71.8% Irish (Dodecad) + 28.2% Mongola (HGDP) @ 2.65
11 73.4% English (Dodecad) + 26.6% Xibo (HGDP) @ 2.67
12 73.4% CEU30 (1000Genomes) + 26.6% Xibo (HGDP) @ 2.72
13 74.3% English (Dodecad) + 25.7% Naga (Metspalu) @ 2.79
14 72.4% English (Dodecad) + 27.6% Mongola (HGDP) @ 2.79
15 74.3% CEU30 (1000Genomes) + 25.7% Naga (Metspalu) @ 2.82
16 73.6% Orkney (1000Genomes) + 26.4% Naga (Metspalu) @ 2.85
17 72.4% CEU30 (1000Genomes) + 27.6% Mongola (HGDP) @ 2.85
18 71.9% Orkney (1000Genomes) + 28.1% Tu (HGDP) @ 2.9
19 73.6% Orcadian (HGDP) + 26.4% Naga (Metspalu) @ 2.93
20 72.1% British (Dodecad) + 27.9% Mongola (HGDP) @ 2.94

Leto
05-17-2018, 07:23 PM
Yeah, Eurogenes is always pretty accurate for me. But somehow, the Dodecad K12b results I just ran are even worse than the V3. I'm either Korean on Mongolian (I'm not lol).

Ancestry K12b
# Primary Population (source) Secondary Population (source) Distance
1 72.5% CEU30 (1000Genomes) + 27.5% Korean (Dodecad) @ 1.85
2 72.4% English (Dodecad) + 27.6% Korean (Dodecad) @ 1.94
3 72.6% Kent (1000Genomes) + 27.4% Korean (Dodecad) @ 2.08
4 72.8% Dutch (Dodecad) + 27.2% Korean (Dodecad) @ 2.11
5 72% British_Isles (Dodecad) + 28% Korean (Dodecad) @ 2.56
6 73.2% Mixed_Germanic (Dodecad) + 26.8% Korean (Dodecad) @ 2.62
7 75.7% Mixed_Germanic (Dodecad) + 24.3% Japanese (HGDP) @ 3.12
8 75.4% Dutch (Dodecad) + 24.6% Japanese (HGDP) @ 3.14
9 75.8% Mixed_Germanic (Dodecad) + 24.2% JPT30 (Behar) @ 3.17
10 75.4% Dutch (Dodecad) + 24.6% JPT30 (Behar) @ 3.2
11 72.2% Argyll (1000Genomes) + 27.8% Korean (Dodecad) @ 3.21
12 75.1% CEU30 (1000Genomes) + 24.9% Japanese (HGDP) @ 3.27
13 72.2% British (Dodecad) + 27.8% Korean (Dodecad) @ 3.29
14 75.2% Kent (1000Genomes) + 24.8% Japanese (HGDP) @ 3.32
15 71.9% Orkney (1000Genomes) + 28.1% Korean (Dodecad) @ 3.32
16 75.1% English (Dodecad) + 24.9% Japanese (HGDP) @ 3.33
17 75.2% CEU30 (1000Genomes) + 24.8% JPT30 (Behar) @ 3.34
18 71.9% Irish (Dodecad) + 28.1% Korean (Dodecad) @ 3.36
19 75.3% Kent (1000Genomes) + 24.7% JPT30 (Behar) @ 3.39
20 71.9% Orcadian (HGDP) + 28.1% Korean (Dodecad) @ 3.39

23andMe (Genesis
# Primary Population (source) Secondary Population (source) Distance
1 72.5% British_Isles (Dodecad) + 27.5% Xibo (HGDP) @ 2.4
2 71.5% British_Isles (Dodecad) + 28.5% Mongola (HGDP) @ 2.43
3 72.3% Orkney (1000Genomes) + 27.7% Xibo (HGDP) @ 2.54
4 71.7% British_Isles (Dodecad) + 28.3% Tu (HGDP) @ 2.56
5 73.4% British_Isles (Dodecad) + 26.6% Naga (Metspalu) @ 2.61
6 72.4% Orcadian (HGDP) + 27.6% Xibo (HGDP) @ 2.65
7 72.4% Irish (Dodecad) + 27.6% Xibo (HGDP) @ 2.69
8 71.4% Orkney (1000Genomes) + 28.6% Mongola (HGDP) @ 2.73
9 73.2% Orkney (1000Genomes) + 26.8% Naga (Metspalu) @ 2.77
10 71.4% Orcadian (HGDP) + 28.6% Mongola (HGDP) @ 2.79
11 71.5% Irish (Dodecad) + 28.5% Mongola (HGDP) @ 2.81
12 73.9% English (Dodecad) + 26.1% Naga (Metspalu) @ 2.83
13 73.3% Orcadian (HGDP) + 26.7% Naga (Metspalu) @ 2.86
14 73.9% CEU30 (1000Genomes) + 26.1% Naga (Metspalu) @ 2.86
15 73% English (Dodecad) + 27% Xibo (HGDP) @ 2.87
16 73.3% Irish (Dodecad) + 26.7% Naga (Metspalu) @ 2.9
17 73% CEU30 (1000Genomes) + 27% Xibo (HGDP) @ 2.92
18 71.6% Orkney (1000Genomes) + 28.4% Tu (HGDP) @ 2.92
19 71.6% Orcadian (HGDP) + 28.4% Tu (HGDP) @ 3.03
20 72.1% English (Dodecad) + 27.9% Mongola (HGDP) @ 3.04

Living DNA (Genesis)
# Primary Population (source) Secondary Population (source) Distance
1 71.9% British_Isles (Dodecad) + 28.1% Mongola (HGDP) @ 2.1
2 72.8% British_Isles (Dodecad) + 27.2% Xibo (HGDP) @ 2.14
3 72.1% British_Isles (Dodecad) + 27.9% Tu (HGDP) @ 2.4
4 72.7% Orkney (1000Genomes) + 27.3% Xibo (HGDP) @ 2.45
5 73.8% British_Isles (Dodecad) + 26.2% Naga (Metspalu) @ 2.55
6 72.7% Orcadian (HGDP) + 27.3% Xibo (HGDP) @ 2.56
7 71.7% Orkney (1000Genomes) + 28.3% Mongola (HGDP) @ 2.58
8 72.8% Irish (Dodecad) + 27.2% Xibo (HGDP) @ 2.6
9 71.8% Orcadian (HGDP) + 28.2% Mongola (HGDP) @ 2.64
10 71.8% Irish (Dodecad) + 28.2% Mongola (HGDP) @ 2.65
11 73.4% English (Dodecad) + 26.6% Xibo (HGDP) @ 2.67
12 73.4% CEU30 (1000Genomes) + 26.6% Xibo (HGDP) @ 2.72
13 74.3% English (Dodecad) + 25.7% Naga (Metspalu) @ 2.79
14 72.4% English (Dodecad) + 27.6% Mongola (HGDP) @ 2.79
15 74.3% CEU30 (1000Genomes) + 25.7% Naga (Metspalu) @ 2.82
16 73.6% Orkney (1000Genomes) + 26.4% Naga (Metspalu) @ 2.85
17 72.4% CEU30 (1000Genomes) + 27.6% Mongola (HGDP) @ 2.85
18 71.9% Orkney (1000Genomes) + 28.1% Tu (HGDP) @ 2.9
19 73.6% Orcadian (HGDP) + 26.4% Naga (Metspalu) @ 2.93
20 72.1% British (Dodecad) + 27.9% Mongola (HGDP) @ 2.94
What are your admixture proportions on these calcs?

Nino90
05-18-2018, 12:51 PM
23andme V5

Admix Results (sorted):

# Population Percent
1 West_European 50.94
2 Mediterranean 24.24
3 East_European 12.99
4 West_Asian 5.51
5 Northeast_Asian 2.13
6 Southwest_Asian 1.62
7 Northwest_African 0.91
8 Southeast_Asian 0.73
9 Neo_African 0.65
10 Palaeo_African 0.28

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 4.51
2 N._European (Xing) 4.83
3 German (Dodecad) 5.15
4 Argyll (1000 Genomes) 5.55
5 Orcadian (HGDP) 5.9
6 Orkney (1000 Genomes) 6.07
7 Mixed_Germanic (Dodecad) 11.65
8 French (Dodecad) 12.28
9 French (HGDP) 12.42
10 Dutch (Dodecad) 12.61
11 Slovenian (Xing) 13.77
12 Kent (1000 Genomes) 14.64
13 British_Isles (Dodecad) 16.13
14 British (Dodecad) 16.35
15 Swedish (Dodecad) 16.85
16 Cornwall (1000 Genomes) 17.07
17 Hungarians (Behar) 17.79
18 Norwegian (Dodecad) 18.19
19 Irish (Dodecad) 18.92
20 FIN (1000Genomes) 22.47

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 71.6% French (HGDP) + 28.4% Finnish (Dodecad) @ 1.6
2 92.4% CEU (HapMap) + 7.6% Chuvashs_16 (Behar) @ 2.35
3 64.8% French (HGDP) + 35.2% FIN (1000Genomes) @ 2.61
4 94.9% CEU (HapMap) + 5.1% Yukagir (Rasmussen) @ 2.69
5 95% CEU (HapMap) + 5% Selkup (Rasmussen) @ 2.77
6 95.5% CEU (HapMap) + 4.5% Dolgan (Rasmussen) @ 2.78
7 96.2% CEU (HapMap) + 3.8% Yakut (HGDP) @ 2.91
8 96.4% CEU (HapMap) + 3.6% Evenk_15 (Rasmussen) @ 2.92
9 92.3% CEU (HapMap) + 7.7% Russian (HGDP) @ 2.93
10 95.8% CEU (HapMap) + 4.2% Tuva (Rasmussen) @ 2.96
11 95.2% CEU (HapMap) + 4.8% Altai (Rasmussen) @ 2.96
12 96.1% CEU (HapMap) + 3.9% Buryat (Rasmussen) @ 3.02
13 85.1% German (Dodecad) + 14.9% Portuguese (Dodecad) @ 3.08
14 96.1% CEU (HapMap) + 3.9% Buryat (Xing) @ 3.09
15 95.1% CEU (HapMap) + 4.9% Kyrgyzstani (Xing) @ 3.11
16 95.8% CEU (HapMap) + 4.2% Mongol (Rasmussen) @ 3.11
17 96.5% CEU (HapMap) + 3.5% Oroqen (HGDP) @ 3.12
18 97.1% CEU (HapMap) + 2.9% Nganassan_12 (Rasmussen) @ 3.16
19 52.2% British (Dodecad) + 47.8% Hungarians (Behar) @ 3.19
20 97.3% CEU (HapMap) + 2.7% Chukchi_11 (Rasmussen) @ 3.19



Using 2 populations approximation:
1 50% British_Dodecad +50% Hungarians_Behar @ 3.347833


Using 3 populations approximation:
1 50% Cornwall_1000 Genomes +25% IBS_1000Genomes +25% Russian_HGDP @ 1.312113


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++
1 Cornwall_1000 Genomes + Cornwall_1000 Genomes + IBS_1000Genomes + Russian_HGDP @ 1.312113
2 Cornwall_1000 Genomes + Cornwall_1000 Genomes + Russian_HGDP + Spaniards_Behar @ 1.350490
3 Cornwall_1000 Genomes + IBS_1000Genomes + Irish_Dodecad + Russian_HGDP @ 1.362621
4 Cornwall_1000 Genomes + Cornwall_1000 Genomes + Russian_HGDP + Spanish_Dodecad @ 1.382475
5 British_Dodecad + Cornwall_1000 Genomes + Russian_HGDP + Spaniards_Behar @ 1.395941
6 British_Dodecad + Cornwall_1000 Genomes + IBS_1000Genomes + Russian_HGDP @ 1.435784
7 British_Dodecad + IBS_1000Genomes + Irish_Dodecad + Russian_HGDP @ 1.492183
8 Cornwall_1000 Genomes + Cornwall_1000 Genomes + Portuguese_Dodecad + Russian_HGDP @ 1.512999
9 British_Isles_Dodecad + Cornwall_1000 Genomes + Russian_HGDP + Spaniards_Behar @ 1.513887
10 British_Dodecad + British_Dodecad + Russian_HGDP + Spaniards_Behar @ 1.515898
11 British_Dodecad + Cornwall_1000 Genomes + Russian_HGDP + Spanish_Dodecad @ 1.522718
12 British_Isles_Dodecad + Cornwall_1000 Genomes + IBS_1000Genomes + Russian_HGDP @ 1.525390
13 Cornwall_1000 Genomes + Irish_Dodecad + Russian_HGDP + Spanish_Dodecad @ 1.526403
14 Cornwall_1000 Genomes + Kent_1000 Genomes + Russian_HGDP + Spaniards_Behar @ 1.550573
15 Finnish_Dodecad + IBS_1000Genomes + Mixed_Germanic_Dodecad + N._European_Xing @ 1.557305
16 IBS_1000Genomes + Irish_Dodecad + Kent_1000 Genomes + Russian_HGDP @ 1.567788
17 British_Isles_Dodecad + Cornwall_1000 Genomes + Russian_HGDP + Spanish_Dodecad @ 1.607767
18 Dutch_Dodecad + Finnish_Dodecad + IBS_1000Genomes + N._European_Xing @ 1.612536
19 British_Dodecad + British_Dodecad + IBS_1000Genomes + Russian_HGDP @ 1.616643
20 Irish_Dodecad + Kent_1000 Genomes + Russian_HGDP + Spaniards_Behar @ 1.618722

Strange results!

Rymwid
05-19-2018, 07:10 PM
Hi, it's my first post here. I'd like to share my Dodecad V3 results



Admix Results (sorted):

# Population Percent
1 West_European 38.61
2 East_European 32.28
3 Mediterranean 19.38
4 West_Asian 6.29
5 Southwest_Asian 1.3
6 South_Asian 1.16
7 Northeast_Asian 0.67
8 Southeast_Asian 0.18
9 Neo_African 0.13


Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 8.03
2 Slovenian (Xing) 10.35
3 Polish (Dodecad) 12.13
4 Mixed_Slav (Dodecad) 12.54
5 Balkans (Dodecad) 17.84
6 Russian (Dodecad) 18.03
7 German (Dodecad) 19
8 FIN (1000Genomes) 20.05
9 Finnish (Dodecad) 20.73
10 Russian (HGDP) 21.83
11 Romanians_14 (Behar) 22.72
12 Belorussian (Behar) 23.74
13 N._European (Xing) 24.25
14 CEU (HapMap) 24.27
15 Argyll (1000 Genomes) 24.51
16 Orcadian (HGDP) 25.37
17 Orkney (1000 Genomes) 25.52
18 Lithuanians (Behar) 27.89
19 Lithuanian (Dodecad) 30.45
20 Swedish (Dodecad) 30.72

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73.1% Slovenian (Xing) + 26.9% Lithuanians (Behar) 1.34
2 74.8% Slovenian (Xing) + 25.2% Lithuanian (Dodecad) 1.5
3 71.6% Mixed_Slav (Dodecad) + 28.4% French (HGDP) 1.65
4 66.1% Mixed_Slav (Dodecad) + 33.9% CEU (HapMap) 1.74
5 54.1% Slovenian (Xing) + 45.9% Polish (Dodecad) 1.78
6 66.1% Mixed_Slav (Dodecad) + 33.9% N._European (Xing) 2.06
7 63.6% Russian (Dodecad) + 36.4% French (HGDP) 2.24
8 55% Slovenian (Xing) + 45% Mixed_Slav (Dodecad) 2.34
9 67.2% Mixed_Slav (Dodecad) + 32.8% Orcadian (HGDP) 2.35
10 66.5% Mixed_Slav (Dodecad) + 33.5% Argyll (1000 Genomes) 2.39
11 67.4% Mixed_Slav (Dodecad) + 32.6% Orkney (1000 Genomes) 2.42
12 64% Slovenian (Xing) + 36% Russian (Dodecad) 2.52
13 60.5% Mixed_Slav (Dodecad) + 39.5% German (Dodecad) 2.56
14 72.7% Mixed_Slav (Dodecad) + 27.3% Dutch (Dodecad) 2.74
15 70.3% Slovenian (Xing) + 29.7% Belorussian (Behar) 2.76
16 50.5% Belorussian (Behar) + 49.5% N._European (Xing) 2.84
17 71.8% Mixed_Slav (Dodecad) + 28.2% Mixed_Germanic (Dodecad) 2.86
18 67.2% Polish (Dodecad) + 32.8% N._European (Xing) 2.9
19 50.6% Belorussian (Behar) + 49.4% CEU (HapMap) 2.92
20 67.2% Polish (Dodecad) + 32.8% CEU (HapMap) 3.04

Edit: I forgot to mention, FTDNA's myOrigin gives me "East Europe 100%" ;)

Leto
05-20-2018, 12:36 AM
Hi, it's my first post here. I'd like to share my Dodecad V3 results

Welcome! Please post here too:
https://anthrogenica.com/showthread.php?3520-Post-your-Dodecad-K12b-Results/page21

Rymwid
05-20-2018, 07:28 AM
Welcome! Please post here too:
URL

Done :) I'm also adding Dodecad V3 results of my paternal grandmother


Admix Results (sorted):

# Population Percent
1 West_European 40.46
2 East_European 29.3
3 Mediterranean 19.82
4 West_Asian 9.01
5 South_Asian 0.77
6 Northeast_Asian 0.41
7 East_African 0.23

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 6.62
2 Slovenian (Xing) 7.45
3 Polish (Dodecad) 15.74
4 Mixed_Slav (Dodecad) 15.99
5 German (Dodecad) 16.04
6 Balkans (Dodecad) 17.88
7 FIN (1000Genomes) 19.74
8 N._European (Xing) 21.13
9 CEU (HapMap) 21.14
10 Argyll (1000 Genomes) 21.29
11 Russian (Dodecad) 21.36
12 Finnish (Dodecad) 21.97
13 Romanians_14 (Behar) 22.12
14 Orcadian (HGDP) 22.24
15 Orkney (1000 Genomes) 22.42
16 Russian (HGDP) 24.95
17 Belorussian (Behar) 27.31
18 Mixed_Germanic (Dodecad) 27.86
19 French (Dodecad) 28.03
20 Swedish (Dodecad) 28.22

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 81.6% Slovenian (Xing) + 18.4% Lithuanians (Behar) 2.49
2 82.7% Slovenian (Xing) + 17.3% Lithuanian (Dodecad) 2.51
3 78.5% Hungarians (Behar) + 21.5% Finnish (Dodecad) 2.86
4 57.1% Mixed_Slav (Dodecad) + 42.9% CEU (HapMap) 3.01
5 75.8% Slovenian (Xing) + 24.2% Russian (Dodecad) 3.13
6 69.5% Slovenian (Xing) + 30.5% Polish (Dodecad) 3.14
7 70% Slovenian (Xing) + 30% Mixed_Slav (Dodecad) 3.2
8 57.3% Mixed_Slav (Dodecad) + 42.7% Argyll (1000 Genomes) 3.26
9 57.1% Mixed_Slav (Dodecad) + 42.9% N._European (Xing) 3.27
10 78.7% Slovenian (Xing) + 21.3% Russian (HGDP) 3.3
11 58.5% Mixed_Slav (Dodecad) + 41.5% Orcadian (HGDP) 3.47
12 63.9% Mixed_Slav (Dodecad) + 36.1% Mixed_Germanic (Dodecad) 3.53
13 52.6% Balkans (Dodecad) + 47.4% FIN (1000Genomes) 3.59
14 58.7% Mixed_Slav (Dodecad) + 41.3% Orkney (1000 Genomes) 3.59
15 64.4% Mixed_Slav (Dodecad) + 35.6% French (HGDP) 3.65
16 80.7% Slovenian (Xing) + 19.3% Belorussian (Behar) 3.67
17 78% Hungarians (Behar) + 22% FIN (1000Genomes) 3.74
18 57.3% Russian (Dodecad) + 42.7% French (HGDP) 3.82
19 50.1% Mixed_Slav (Dodecad) + 49.9% German (Dodecad) 3.85
20 65.4% Mixed_Slav (Dodecad) + 34.6% Dutch (Dodecad) 3.85

Leto
05-20-2018, 06:16 PM
Done :) I'm also adding Dodecad V3 results of my paternal grandmother
[/CODE]
Awesome. Then I'd suggest you post Eurogenes K13 as well. It is still among the most popular calculators
https://anthrogenica.com/showthread.php?3539-Eurogenes-K13-Results/page99

JerryS.
05-20-2018, 06:31 PM
Awesome. Then I'd suggest you post Eurogenes K13 as well. It is still among the most popular calculators
https://anthrogenica.com/showthread.php?3539-Eurogenes-K13-Results/page99

I concur with using Eurogenes for North, Northwest, and Northeast ethnicities as it seems to excel in these regions.

Nino90
05-20-2018, 06:55 PM
Agree. Davidski is polish and extrem slavo-centric.
He even made french people have more East Asian admixture than poles and russian in his autosomal Maps.

PoxVoldius
05-23-2018, 02:03 AM
Admix Results (sorted):

# Population Percent
1 West_European 47.95
2 Mediterranean 22.6
3 East_European 18.43
4 West_Asian 7.05
5 Southeast_Asian 1.33
6 Southwest_Asian 1.17
7 East_African 0.64
8 Neo_African 0.30
9 Northwest_African 0.30
10 Palaeo_African 0.22

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 4.79
2 Slovenian (Xing) 8.61
3 CEU (HapMap) 9.05
4 N._European (Xing) 9.11
5 Argyll (1000 Genomes) 9.48
6 Orcadian (HGDP) 10.27
7 Orkney (1000 Genomes) 10.46
8 Hungarians (Behar) 12.61
9 Mixed_Germanic (Dodecad) 16.13
10 French (Dodecad) 16.95
11 French (HGDP) 17.2
12 Dutch (Dodecad) 17.58
13 Swedish (Dodecad) 19.05
14 Kent (1000 Genomes) 19.59
15 FIN (1000Genomes) 20.08
16 British_Isles (Dodecad) 20.97
17 British (Dodecad) 21.33
18 Norwegian (Dodecad) 21.4
19 Cornwall (1000 Genomes) 22.05
20 Irish (Dodecad) 23.61

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.4% German (Dodecad) + 34.6% Slovenian (Xing) 1.72
2 84.7% German (Dodecad) + 15.3% Balkans (Dodecad) 1.89
3 74% German (Dodecad) + 26% Hungarians (Behar) 1.94
4 75.9% CEU (HapMap) + 24.1% Mixed_Slav (Dodecad) 1.95
5 53.2% Norwegian (Dodecad) + 46.8% Balkans (Dodecad) 1.97
6 65.4% Hungarians (Behar) + 34.6% Irish (Dodecad) 2.06
7 78.9% CEU (HapMap) + 21.1% Russian (Dodecad) 2.15
8 86.1% German (Dodecad) + 13.9% Romanians_14 (Behar) 2.18
9 81.6% CEU (HapMap) + 18.4% Belorussian (Behar) 2.31
10 62.7% Hungarians (Behar) + 37.3% British_Isles (Dodecad) 2.33
11 72% Slovenian (Xing) + 28% Norwegian (Dodecad) 2.34
12 75.6% CEU (HapMap) + 24.4% Polish (Dodecad) 2.37
13 76% N._European (Xing) + 24% Mixed_Slav (Dodecad) 2.41
14 75.5% N._European (Xing) + 24.5% Polish (Dodecad) 2.44
15 81.6% N._European (Xing) + 18.4% Belorussian (Behar) 2.49
16 56.2% Swedish (Dodecad) + 43.8% Balkans (Dodecad) 2.5
17 63.2% Hungarians (Behar) + 36.8% British (Dodecad) 2.52
18 58.5% N._European (Xing) + 41.5% Hungarians (Behar) 2.53
19 55.3% Slovenian (Xing) + 44.7% Orkney (1000 Genomes) 2.57
20 63.2% Hungarians (Behar) + 36.8% Norwegian (Dodecad) 2.57

physical-anthro
05-25-2018, 09:39 PM
East_European 33.97
West_European 41.36
Mediterranean 16.21
Neo_African -
West_Asian 7.37
South_Asian 0.64
Northeast_Asian 0.19
Southeast_Asian -
East_African 0.26
Southwest_Asian -
Northwest_African -
Palaeo_African -

oz
05-26-2018, 09:41 AM
1 West_European 35.06
2 Mediterranean 24.36
3 East_European 22.25
4 West_Asian 13.03
5 Southwest_Asian 3.44
6 South_Asian 0.66
7 Northeast_Asian 0.57
8 Northwest_African 0.32
9 East_African 0.13
10 Neo_African 0.11
11 Palaeo_African 0.08

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 5.39
2 Hungarians (Behar) 6.25
3 Balkans (Dodecad) 12.29
4 Romanians_14 (Behar) 14.35
5 German (Dodecad) 17.66
6 CEU (HapMap) 20.43
7 N._European (Xing) 20.66
8 Tuscan (Xing) 21.05
9 Tuscan (Henn) 21.4
10 Argyll (1000 Genomes) 21.43
11 TSI (HapMap) 21.81
12 Orcadian (HGDP) 22.26
13 Orkney (1000 Genomes) 22.55
14 Mixed_Slav (Dodecad) 22.73
15 Polish (Dodecad) 23
16 N_Italian (Dodecad) 23.94
17 French (Dodecad) 24.52
18 French (HGDP) 24.75
19 Ashkenazy_Jews (Behar) 25.66
20 O_Italian (Dodecad) 25.77

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.6% Slovenian (Xing) + 11.4% Turkish (Dodecad) @ 2.11
2 91.2% Slovenian (Xing) + 8.8% Assyrian (Dodecad) @ 2.17
3 90.3% Slovenian (Xing) + 9.7% Druze (HGDP) @ 2.19
4 90.4% Slovenian (Xing) + 9.6% Iraq_Jews (Behar) @ 2.2
5 89.5% Slovenian (Xing) + 10.5% Turks (Behar) @ 2.21
6 90.2% Slovenian (Xing) + 9.8% Iranian_Jews (Behar) @ 2.21
7 90.1% Slovenian (Xing) + 9.9% Cypriots (Behar) @ 2.23
8 90.1% Slovenian (Xing) + 9.9% Azerbaijan_Jews (Behar) @ 2.26
9 91.2% Slovenian (Xing) + 8.8% Armenian (Dodecad) @ 2.27
10 89.5% Slovenian (Xing) + 10.5% Kurd (Xing) @ 2.29
11 89.8% Slovenian (Xing) + 10.2% Georgia_Jews (Behar) @ 2.3
12 89.9% Slovenian (Xing) + 10.1% Lebanese (Behar) @ 2.3
13 89.2% Slovenian (Xing) + 10.8% Uzbekistan_Jews (Behar) @ 2.32
14 84.2% Hungarians (Behar) + 15.8% Stalskoe (Xing) @ 2.32
15 88.9% Hungarians (Behar) + 11.1% Iranians (Behar) @ 2.34
16 91.6% Slovenian (Xing) + 8.4% Armenians_16 (Behar) @ 2.37
17 87.4% Hungarians (Behar) + 12.6% Uzbekistan_Jews (Behar) @ 2.37
18 88.5% Hungarians (Behar) + 11.5% Azerbaijan_Jews (Behar) @ 2.37
19 90.5% Slovenian (Xing) + 9.5% Samaritians (Behar) @ 2.39
20 87.7% Hungarians (Behar) + 12.3% Kurd (Dodecad) @ 2.39

I get quite a lot of Jews and Caucasians in these mixed population results. Is this generally normal with people from SE Europe?

Nino90
05-26-2018, 05:31 PM
1 West_European 35.06
2 Mediterranean 24.36
3 East_European 22.25
4 West_Asian 13.03
5 Southwest_Asian 3.44
6 South_Asian 0.66
7 Northeast_Asian 0.57
8 Northwest_African 0.32
9 East_African 0.13
10 Neo_African 0.11
11 Palaeo_African 0.08

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 5.39
2 Hungarians (Behar) 6.25
3 Balkans (Dodecad) 12.29
4 Romanians_14 (Behar) 14.35
5 German (Dodecad) 17.66
6 CEU (HapMap) 20.43
7 N._European (Xing) 20.66
8 Tuscan (Xing) 21.05
9 Tuscan (Henn) 21.4
10 Argyll (1000 Genomes) 21.43
11 TSI (HapMap) 21.81
12 Orcadian (HGDP) 22.26
13 Orkney (1000 Genomes) 22.55
14 Mixed_Slav (Dodecad) 22.73
15 Polish (Dodecad) 23
16 N_Italian (Dodecad) 23.94
17 French (Dodecad) 24.52
18 French (HGDP) 24.75
19 Ashkenazy_Jews (Behar) 25.66
20 O_Italian (Dodecad) 25.77

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.6% Slovenian (Xing) + 11.4% Turkish (Dodecad) @ 2.11
2 91.2% Slovenian (Xing) + 8.8% Assyrian (Dodecad) @ 2.17
3 90.3% Slovenian (Xing) + 9.7% Druze (HGDP) @ 2.19
4 90.4% Slovenian (Xing) + 9.6% Iraq_Jews (Behar) @ 2.2
5 89.5% Slovenian (Xing) + 10.5% Turks (Behar) @ 2.21
6 90.2% Slovenian (Xing) + 9.8% Iranian_Jews (Behar) @ 2.21
7 90.1% Slovenian (Xing) + 9.9% Cypriots (Behar) @ 2.23
8 90.1% Slovenian (Xing) + 9.9% Azerbaijan_Jews (Behar) @ 2.26
9 91.2% Slovenian (Xing) + 8.8% Armenian (Dodecad) @ 2.27
10 89.5% Slovenian (Xing) + 10.5% Kurd (Xing) @ 2.29
11 89.8% Slovenian (Xing) + 10.2% Georgia_Jews (Behar) @ 2.3
12 89.9% Slovenian (Xing) + 10.1% Lebanese (Behar) @ 2.3
13 89.2% Slovenian (Xing) + 10.8% Uzbekistan_Jews (Behar) @ 2.32
14 84.2% Hungarians (Behar) + 15.8% Stalskoe (Xing) @ 2.32
15 88.9% Hungarians (Behar) + 11.1% Iranians (Behar) @ 2.34
16 91.6% Slovenian (Xing) + 8.4% Armenians_16 (Behar) @ 2.37
17 87.4% Hungarians (Behar) + 12.6% Uzbekistan_Jews (Behar) @ 2.37
18 88.5% Hungarians (Behar) + 11.5% Azerbaijan_Jews (Behar) @ 2.37
19 90.5% Slovenian (Xing) + 9.5% Samaritians (Behar) @ 2.39
20 87.7% Hungarians (Behar) + 12.3% Kurd (Dodecad) @ 2.39

I get quite a lot of Jews and Caucasians in these mixed population results. Is this generally normal with people from SE Europe?

The Ottoman invasion leaved some admix in Balkanese people? Or is it just ancient farmer admix ;)

asm
05-26-2018, 05:57 PM
I get quite a lot of Jews and Caucasians in these mixed population results. Is this generally normal with people from SE Europe?

Caucasians also get quite high amount of Jewish populations in this calculator.Even one of them get 33% Ashkenazi as secondary population though he hasn't any matches in lower cMs.

JerryS.
05-26-2018, 08:34 PM
With Dodecad, the Ashkenazi population reference is used almost interchangeably with Southern Italian Sicilian. It is not a true measure of Jewish ethnicity it only lists it because it's very similar.

digital_noise
05-27-2018, 02:43 AM
I dont have that with Dodecad. I seem to recall another calc. that does that but Dodecad is pretty straightforward with my results.

JerryS.
05-27-2018, 03:07 AM
I dont have that with Dodecad. I seem to recall another calc. that does that but Dodecad is pretty straightforward with my results.

the oracle 4 on Dodecad V3 or K7 didn't show Ashkenazi?

digital_noise
05-27-2018, 03:32 AM
K7 shows a few here and there but only in the Oracle, not oracle-4. I forget what other calc it is, but one of them is heavy on the Ashkenazi
# Primary Population (source) Secondary Population (source) Distance
1 57.5% TSI30 (Metspalu) + 42.5% Lithuanian (Dodecad) @ 0.42
2 67.7% Argyll (1000Genomes) + 32.3% Ashkenazy_Jews (Behar) @ 0.43
3 60.3% Swedish (Dodecad) + 39.7% S_Italian_Sicilian (Dodecad) @ 0.48
4 50.2% Tuscan (HGDP) + 49.8% Polish (Dodecad) @ 0.49
5 71% Dutch (Dodecad) + 29% Ashkenazy_Jews (Behar) @ 0.51
6 66.2% Argyll (1000Genomes) + 33.8% S_Italian_Sicilian (Dodecad) @ 0.53
7 80.4% Argyll (1000Genomes) + 19.6% Samaritians (Behar) @ 0.53
8 50.1% TSI30 (Metspalu) + 49.9% Polish (Dodecad) @ 0.55
9 86.1% French (Dodecad) + 13.9% Chechens (Yunusbayev) @ 0.56
10 75.9% British (Dodecad) + 24.1% Cypriots (Behar) @ 0.57
11 86.4% French (Dodecad) + 13.6% Lezgins (Behar) @ 0.59
12 71% Dutch (Dodecad) + 29% Ashkenazi (Dodecad) @ 0.61
13 66.9% Argyll (1000Genomes) + 33.1% Sicilian (Dodecad) @ 0.62
14 80.8% Kent (1000Genomes) + 19.2% Druze (HGDP) @ 0.63
15 79.4% Orkney (1000Genomes) + 20.6% Samaritians (Behar) @ 0.63
16 54% Swedish (Dodecad) + 46% C_Italian (Dodecad) @ 0.63
17 67.7% Argyll (1000Genomes) + 32.3% Ashkenazi (Dodecad) @ 0.64
18 61.3% Argyll (1000Genomes) + 38.7% Greek (Dodecad) @ 0.64
19 78.8% British (Dodecad) + 21.2% Druze (HGDP) @ 0.65
20 61.1% Swedish (Dodecad) + 38.9% Sicilian (Dodecad) @ 0.66

oz
05-27-2018, 04:09 AM
Caucasians also get quite high amount of Jewish populations in this calculator.Even one of them get 33% Ashkenazi as secondary population though he hasn't any matches in lower cMs.

Ok. But what I meant was it's not just the Dodecad calculator it's in many others, and it's not only Askenazi Jews, it's west-sw asian and c asian Jewish populations.
Does anyone else get that a lot especially people from SE Europe.

asm
05-27-2018, 05:57 AM
Ok. But what I meant was it's not just the Dodecad calculator it's in many others, and it's not only Askenazi Jews, it's west-sw asian and c asian Jewish populations.
Does anyone else get that a lot especially people from SE Europe.

Yes,Ashkenazi was just example.Azeris and other people from Caucasus get many different Jewish populations in Dodecad V3.
As for other calculators,I checked one Albanian kit on K13.Here is the result:

78.7% Greek_Thessaly + 21.3% Estonian_Polish @ 2.58
2 81.4% Greek_Thessaly + 18.6% Lithuanian @ 2.66
3 79.2% Greek_Thessaly + 20.8% Belorussian @ 2.73
4 50% Ukrainian + 50% Algerian_Jewish @ 2.81
5 75.5% Greek_Thessaly + 24.5% Ukrainian @ 2.83
6 78.8% Greek_Thessaly + 21.2% Russian_Smolensk @ 2.86
7 77.5% Greek_Thessaly + 22.5% Southwest_Russian @ 2.9
8 59.1% Croatian + 40.9% Algerian_Jewish @ 3.05
9 74.8% Greek_Thessaly + 25.2% Ukrainian_Lviv @ 3.11
10 77.9% Greek_Thessaly + 22.1% Polish @ 3.12
11 81.6% Greek_Thessaly + 18.4% Estonian @ 3.13
12 80% Greek_Thessaly + 20% Kargopol_Russian @ 3.18
13 78% Greek_Thessaly + 22% Ukrainian_Belgorod @ 3.19
14 63.6% Moldavian + 36.4% Algerian_Jewish @ 3.25
15 68.4% Greek_Thessaly + 31.6% Croatian @ 3.27
16 51.2% Ukrainian_Lviv + 48.8% Algerian_Jewish @ 3.29
17 75.7% Greek_Thessaly + 24.3% South_Polish @ 3.3
18 80.5% Greek_Thessaly + 19.5% Erzya @ 3.34
19 82.1% Greek_Thessaly + 17.9% East_Finnish @ 3.38
20 64.4% Greek_Thessaly + 35.6% Moldavian @ 3.4

digital_noise
05-27-2018, 06:12 AM
My wife's V3 Oracle 4 gets that as well

1 Brahui_HGDP + Iranian_Dodecad + Syrians_Behar + Turks_Behar @ 2.115602
2 Balochi_HGDP + Iranian_Dodecad + Syrians_Behar + Turks_Behar @ 2.160873
3 Balochi_HGDP + Georgia_Jews_Behar + Iranian_Dodecad + Kurd_Xing @ 2.259144
4 Brahui_HGDP + Georgia_Jews_Behar + Iranian_Dodecad + Kurd_Xing @ 2.303983
5 Georgia_Jews_Behar + Iranian_Dodecad + Makrani_HGDP + Kurd_Xing @ 2.337435
6 Balochi_HGDP + Georgia_Jews_Behar + Iranians_Behar + Turks_Behar @ 2.388818
7 Brahui_HGDP + Georgia_Jews_Behar + Iranians_Behar + Turks_Behar @ 2.401571
8 Armenian_Dodecad + Iranian_Dodecad + Pathan_HGDP + Syrians_Behar @ 2.456501
9 Kalash_HGDP + Syrians_Behar + Turks_Behar + Uzbekistan_Jews_Behar @ 2.470392
10 Georgia_Jews_Behar + Iranian_Dodecad + Kurd_Dodecad + Makrani_HGDP @ 2.481047
11 Kalash_HGDP + Syrians_Behar + Turks_Behar + Kurd_Xing @ 2.481987
12 Iranian_Dodecad + Makrani_HGDP + Uzbekistan_Jews_Behar + Uzbekistan_Jews_Behar @ 2.525214
13 Balochi_HGDP + Iranian_Dodecad + Iranian_Dodecad + Lebanese_Behar @ 2.529431
14 Balochi_HGDP + Iranian_Dodecad + Iranian_Dodecad + Samaritians_Behar @ 2.532207
15 Georgia_Jews_Behar + Kalash_HGDP + Syrians_Behar + Turks_Behar @ 2.561431
16 Assyrian_Dodecad + Georgia_Jews_Behar + Iranian_Dodecad + Pathan_HGDP @ 2.572508
17 Iranian_Dodecad + Makrani_HGDP + Uzbekistan_Jews_Behar + Kurd_Xing @ 2.580733
18 Balochi_HGDP + Georgia_Jews_Behar + Iranian_Dodecad + Kurd_Dodecad @ 2.586149
19 Brahui_HGDP + Iranian_Dodecad + Iranian_Dodecad + Lebanese_Behar @ 2.593135
20 Iranian_Jews_Behar + Kalash_HGDP + Syrians_Behar + Turks_Behar @ 2.598309

Done.

oz
05-27-2018, 12:51 PM
Must be a Balkan, Mediterranean, West Asian affinity or something.

Targum
06-20-2018, 10:51 PM
I posted before:

https://anthrogenica.com/showthread.php?929-Post-Your-Dodecad-V3-Results&p=301188&viewfull=1#post301188

ValerieAnne
06-21-2018, 03:27 PM
Here are mine:

Using AncestryDNA results:
1 West_European 49.9
2 Mediterranean 27.15
3 East_European 9.77
4 West_Asian 8.5
5 Southwest_Asian 2.93
6 Northwest_African 1.09
7 Northeast_Asian 0.53
8 Neo_African 0.14

Using 23andMe results:
1 West_European 50.29
2 Mediterranean 26.4
3 East_European 9.64
4 West_Asian 7.98
5 Southwest_Asian 3.03
6 Northwest_African 2.37
7 Neo_African 0.28


... So, I'd probably guess somewhere between the two, lol. Lately, I've just been testing/running against Ancestry but felt like seeing the difference today as I've never used this calculator. I'm still confused about where the Asia, Mediterranean and Africa ones come from (same with all though).

JerryS.
06-21-2018, 05:08 PM
Here are mine:

Using AncestryDNA results:
1 West_European 49.9
2 Mediterranean 27.15
3 East_European 9.77
4 West_Asian 8.5
5 Southwest_Asian 2.93
6 Northwest_African 1.09
7 Northeast_Asian 0.53
8 Neo_African 0.14

Using 23andMe results:
1 West_European 50.29
2 Mediterranean 26.4
3 East_European 9.64
4 West_Asian 7.98
5 Southwest_Asian 3.03
6 Northwest_African 2.37
7 Neo_African 0.28


... So, I'd probably guess somewhere between the two, lol. Lately, I've just been testing/running against Ancestry but felt like seeing the difference today as I've never used this calculator. I'm still confused about where the Asia, Mediterranean and Africa ones come from (same with all though).

please, I am not trying to insult you. I am a layman here and still learning, but your data does not match your flags, if that is a complete list of flags.

ValerieAnne
06-21-2018, 06:39 PM
please, I am not trying to insult you. I am a layman here and still learning, but your data does not match your flags, if that is a complete list of flags.

I'm not insulted. I chose the flags using my paper-trail, DNA results from Ancestry. As, I said, I'm not sure where half of those are from/come from, as I haven't found anybody at all in my tree so far (it's only about 1900 people though) from anywhere outside of the places my flags are from. The only one that I MAY have somebody from on paper so far is the Med (if it included France during the timeframe this calculator uses) as I have a relative from SOLEDORNE, which as far as I know is in Bern, Switzerland, yet the only place I can find that is on the 1880 Census, and it just says SOLEDORNE, the same location as her parents. Most people have her location (her name is Martha Magdalena Arni-Maurer, my 4x great grandmother) has Alsace, France, as there's a town in that city called Soledorne as well. I'm trying to see if I can find anymore documents to tell/prove which one it is. But as far as I know.

And with it only saying SOLEDORNE, I'm not sure which it is. I'm leaning more towards Switzerland though since her husband was born in Bern and it shows they got married in Münsingen, Bern, Switzerland (the Schwiz Heiratan, 1532-1910). But yeah, she's the only link I can find to France at the moment.. :/

JosephK
06-21-2018, 06:53 PM
And with it only saying SOLEDORNE, I'm not sure which it is. I'm leaning more towards Switzerland though since her husband was born in Bern and it shows they got married in Münsingen, Bern, Switzerland (the Schwiz Heiratan, 1532-1910). But yeah, she's the only link I can find to France at the moment.. :/

yeah I really can't help but guess you must have some Southern France, Italian, maybe Jewish in there somewhere... small percentages can be misleading, but those are pretty high numbers considering your flags...

cassiopeia
06-21-2018, 08:10 PM
My mom's results. Her known ancestry is 50% Czech, 25% German, and 25% a mixture of Jewish and some unknown Balkan. I didn't expect to see so much Italian in her results.

Admix Results (sorted):

# Population Percent
1 West_European 38.7
2 Mediterranean 25.84
3 East_European 18.39
4 West_Asian 12.66
5 Southwest_Asian 2.89
6 Southeast_Asian 0.79
7 Palaeo_African 0.4
8 Neo_African 0.32

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 5.15
2 Hungarians (Behar) 8.57
3 German (Dodecad) 14.18
4 Balkans (Dodecad) 15.94
5 CEU (HapMap) 15.94
6 N._European (Xing) 16.38
7 Romanians_14 (Behar) 17.08
8 Argyll (1000 Genomes) 17.18
9 Orcadian (HGDP) 17.89
10 Orkney (1000 Genomes) 18.22
11 Tuscan (Xing) 19.12
12 Tuscan (Henn) 19.31
13 TSI (HapMap) 19.6
14 French (Dodecad) 19.74
15 French (HGDP) 19.86
16 N_Italian (Dodecad) 21.25
17 Mixed_Germanic (Dodecad) 22.83
18 O_Italian (Dodecad) 24.18
19 Dutch (Dodecad) 24.51
20 Portuguese (Dodecad) 24.71

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.9% Slovenian (Xing) + 20.1% TSI (HapMap) 1.54
2 79.7% Slovenian (Xing) + 20.3% Tuscan (Xing) 1.72
3 62.4% Romanians_14 (Behar) + 37.6% Swedish (Dodecad) 1.72
4 64.2% Romanians_14 (Behar) + 35.8% Norwegian (Dodecad) 1.74
5 79.9% Slovenian (Xing) + 20.1% Tuscan (Henn) 1.76
6 83.7% Slovenian (Xing) + 16.3% O_Italian (Dodecad) 2.15
7 59% Balkans (Dodecad) + 41% Mixed_Germanic (Dodecad) 2.26
8 86.3% Slovenian (Xing) + 13.7% C_Italian (Dodecad) 2.46
9 85.8% Slovenian (Xing) + 14.2% Ashkenazi (Dodecad) 2.53
10 85.2% Slovenian (Xing) + 14.8% Ashkenazy_Jews (Behar) 2.61
11 85.9% Slovenian (Xing) + 14.1% Tuscan (HGDP) 2.62
12 88.2% Slovenian (Xing) + 11.8% S_Italian_Sicilian (Dodecad) 2.65
13 54.8% German (Dodecad) + 45.2% Romanians_14 (Behar) 2.73
14 66.4% Balkans (Dodecad) + 33.6% Irish (Dodecad) 2.76
15 51.1% N._European (Xing) + 48.9% Romanians_14 (Behar) 2.79
16 89.2% Slovenian (Xing) + 10.8% S_Italian (Dodecad) 2.79
17 50.7% Balkans (Dodecad) + 49.3% N._European (Xing) 2.8
18 83.1% Slovenian (Xing) + 16.9% N_Italian (Dodecad) 2.86
19 88.6% Slovenian (Xing) + 11.4% Morocco_Jews (Behar) 2.92
20 89% Slovenian (Xing) + 11% Sicilian (Dodecad) 2.97

JosephK
08-20-2018, 07:53 PM
My mom's results. Her known ancestry is 50% Czech, 25% German, and 25% a mixture of Jewish and some unknown Balkan. I didn't expect to see so much Italian in her results.

Yeah, Italian is how it's going to read her mixed Jewish/Balkan results. Everything's always telling me I'm part Italian or Iberian...

Xtian
08-21-2018, 10:38 AM
Russian from Krasnodar Krai- any feedback?


FTDNA
# Population Percent
1 West_European 38.09
2 East_European 30.57
3 Mediterranean 18.75
4 West_Asian 8.48
5 Northeast_Asian 1.99
6 South_Asian 1.53
7 Northwest_African 0.52
8 Southeast_Asian 0.06

Livingdna

# Population Percent
1 West_European 36.69
2 East_European 31.68
3 Mediterranean 18.56
4 West_Asian 8.84
5 Northeast_Asian 2.02
6 South_Asian 1.23
7 Southeast_Asian 0.98

Leto
08-21-2018, 02:34 PM
Double post

Leto
08-21-2018, 02:35 PM
Russian from Krasnodar Krai- any feedback?


FTDNA
# Population Percent
1 West_European 38.09
2 East_European 30.57
3 Mediterranean 18.75
4 West_Asian 8.48
5 Northeast_Asian 1.99
6 South_Asian 1.53
7 Northwest_African 0.52
8 Southeast_Asian 0.06

Livingdna

# Population Percent
1 West_European 36.69
2 East_European 31.68
3 Mediterranean 18.56
4 West_Asian 8.84
5 Northeast_Asian 2.02
6 South_Asian 1.23
7 Southeast_Asian 0.98
Living DNA raw data is quite bad. It's like the V5 chip of 23andme. FTDNA is much better. Regarding your results, you seem to have additional West Asian/Caucasian admixture. How much Caucasus and Gedrosia do you get on K12b?

Canarioguanche
08-21-2018, 02:41 PM
East_European 2.37
West_European 36.90
Mediterranean 45.82
Neo_African -
West_Asian 5.03
South_Asian 0.74
Northeast_Asian -
Southeast_Asian -
East_African 2.93
Southwest_Asian -
Northwest_African 5.77
Palaeo_African 0.45

JMcB
08-21-2018, 03:57 PM
And mine:

Population Percent
1 West_European 52.12
2 Mediterranean 29.43
3 East_European 10.08
4 West_Asian 7.12
5 Northeast_Asian 0.71
6 Southwest_Asian 0.45
7 Palaeo_African 0.05
8 Northwest_African 0.04

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.97
2 Orcadian (HGDP) 5.66
3 Orkney (1000 Genomes) 6.11
4 Argyll (1000 Genomes) 6.46
5 N._European (Xing) 6.63
6 French (Dodecad) 7.06
7 French (HGDP) 7.07
8 German (Dodecad) 9.22
9 Mixed_Germanic (Dodecad) 10.86
10 Dutch (Dodecad) 11.23
11 Kent (1000 Genomes) 13.15
12 British_Isles (Dodecad) 15.03
13 British (Dodecad) 15.06
14 Cornwall (1000 Genomes) 15.6
15 Slovenian (Xing) 16.77
16 French_Basque (HGDP) 17.86
17 Irish (Dodecad) 18.13
18 Swedish (Dodecad) 19.45
19 Norwegian (Dodecad) 19.9
20 Portuguese (Dodecad) 20.38

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.5% Orcadian (HGDP) + 17.5% North_Italian (HGDP) @ 0.97
2 81.3% Orkney (1000 Genomes) + 18.7% North_Italian (HGDP) @ 1.05
3 84.6% CEU (HapMap) + 15.4% Spaniards (Behar) @ 1.16
4 85.5% Orcadian (HGDP) + 14.5% Sardinian (HGDP) @ 1.21
5 85.3% CEU (HapMap) + 14.7% Spanish (Dodecad) @ 1.23
6 85.5% CEU (HapMap) + 14.5% IBS (1000Genomes) @ 1.23
7 80.5% Orcadian (HGDP) + 19.5% N_Italian (Dodecad) @ 1.38
8 77.7% Argyll (1000 Genomes) + 22.3% Spanish (Dodecad) @ 1.39
9 76.7% Argyll (1000 Genomes) + 23.3% Spaniards (Behar) @ 1.39
10 77.8% Argyll (1000 Genomes) + 22.2% IBS (1000Genomes) @ 1.4
11

Xtian
08-21-2018, 04:08 PM
Population Percent
1 North_European 54.33
2 Atlantic_Med 22.39
3 Caucasus 11.89
4 Gedrosia 6.61
5 Siberian 2.49


I assume I must have a Kavkaz ancestor, although my motherline is U4c1 which is Siberian.

Im female, no YDNA.

Leto
08-21-2018, 06:07 PM
Population Percent
1 North_European 54.33
2 Atlantic_Med 22.39
3 Caucasus 11.89
4 Gedrosia 6.61
5 Siberian 2.49


I assume I must have a Kavkaz ancestor, although my motherline is U4c1 which is Siberian.

Im female, no YDNA.
Like 2.3% is missing here. Can you show me the full result? Your Caucasus score is nothing special for a Russian, to be honest. I get around 10% Caucasus and 5% Gedrosia and I have no Caucasian ancestry.

JerryS.
08-21-2018, 08:42 PM
And mine:

Population Percent
1 West_European 52.12
2 Mediterranean 29.43
3 East_European 10.08
4 West_Asian 7.12
5 Northeast_Asian 0.71
6 Southwest_Asian 0.45
7 Palaeo_African 0.05
8 Northwest_African 0.04

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.97
2 Orcadian (HGDP) 5.66
3 Orkney (1000 Genomes) 6.11
4 Argyll (1000 Genomes) 6.46
5 N._European (Xing) 6.63
6 French (Dodecad) 7.06
7 French (HGDP) 7.07
8 German (Dodecad) 9.22
9 Mixed_Germanic (Dodecad) 10.86
10 Dutch (Dodecad) 11.23
11 Kent (1000 Genomes) 13.15
12 British_Isles (Dodecad) 15.03
13 British (Dodecad) 15.06
14 Cornwall (1000 Genomes) 15.6
15 Slovenian (Xing) 16.77
16 French_Basque (HGDP) 17.86
17 Irish (Dodecad) 18.13
18 Swedish (Dodecad) 19.45
19 Norwegian (Dodecad) 19.9
20 Portuguese (Dodecad) 20.38

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.5% Orcadian (HGDP) + 17.5% North_Italian (HGDP) @ 0.97
2 81.3% Orkney (1000 Genomes) + 18.7% North_Italian (HGDP) @ 1.05
3 84.6% CEU (HapMap) + 15.4% Spaniards (Behar) @ 1.16
4 85.5% Orcadian (HGDP) + 14.5% Sardinian (HGDP) @ 1.21
5 85.3% CEU (HapMap) + 14.7% Spanish (Dodecad) @ 1.23
6 85.5% CEU (HapMap) + 14.5% IBS (1000Genomes) @ 1.23
7 80.5% Orcadian (HGDP) + 19.5% N_Italian (Dodecad) @ 1.38
8 77.7% Argyll (1000 Genomes) + 22.3% Spanish (Dodecad) @ 1.39
9 76.7% Argyll (1000 Genomes) + 23.3% Spaniards (Behar) @ 1.39
10 77.8% Argyll (1000 Genomes) + 22.2% IBS (1000Genomes) @ 1.4
11

I see you have the Vatican flag which I assume is why your secondary population shows as much as it does. whats the story behind it if you don't mind telling?

JMcB
08-21-2018, 09:08 PM
I see you have the Vatican flag which I assume is why your secondary population shows as much as it does. whats the story behind it if you don't mind telling?

Hello JerryS,

The Vatican flag represents my religion, Catholic. The other flags represent the origins of my ancestors, England, Scotland and Ireland, my nationality and the flag for Schleswig Holstein is for my Haplogroup, which is generally believed to have originated in that area.

JosephK
08-21-2018, 09:40 PM
1 West_European 40.19
2 East_European 22.38
3 Mediterranean 20.49
4 West_Asian 7.63
5 Southwest_Asian 4.42
6 Northwest_African 2.42
7 South_Asian 1.55


Using 1 population approximation:
1 Slovenian_Xing @ 5.123498
2 Hungarians_Behar @ 8.251362
3 German_Dodecad @ 14.341364
4 N._European_Xing @ 18.586037
5 CEU_HapMap @ 18.970104
6 Argyll_1000 Genomes @ 19.614397
7 Balkans_Dodecad @ 20.563604
8 Orcadian_HGDP @ 20.648287
9 Orkney_1000 Genomes @ 20.821756
10 FIN_1000Genomes @ 23.420717
11 Romanians_14_Behar @ 23.830658
12 Polish_Dodecad @ 23.867474
13 Mixed_Slav_Dodecad @ 24.045898
14 French_Dodecad @ 25.536631
15 French_HGDP @ 25.959469
16 Mixed_Germanic_Dodecad @ 26.429529
17 Finnish_Dodecad @ 27.777285
18 Dutch_Dodecad @ 28.207172
19 Tuscan_Xing @ 28.666128
20 Tuscan_Henn @ 28.766855

Using 2 populations approximation:
1 50% Finnish_Dodecad +50% Tuscan_Henn @ 3.694267


Using 3 populations approximation:
1 50% FIN_1000Genomes +25% Hungarians_Behar +25% Morocco_Jews_Behar @ 3.005112


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++
1 Belorussian_Behar + FIN_1000Genomes + Kent_1000 Genomes + Morocco_Jews_Behar @ 1.808490
2 Belorussian_Behar + Dutch_Dodecad + FIN_1000Genomes + Morocco_Jews_Behar @ 1.827349
3 Belorussian_Behar + British_Isles_Dodecad + FIN_1000Genomes + Morocco_Jews_Behar @ 1.842724
4 Belorussian_Behar + British_Dodecad + FIN_1000Genomes + Morocco_Jews_Behar @ 1.847276
5 Belorussian_Behar + Cornwall_1000 Genomes + FIN_1000Genomes + Morocco_Jews_Behar @ 1.974922
6 Finnish_Dodecad + Irish_Dodecad + Polish_Dodecad + Sephardic_Jews_Behar @ 2.151499
7 FIN_1000Genomes + Polish_Dodecad + Sephardic_Jews_Behar + Swedish_Dodecad @ 2.156526
8 Belorussian_Behar + FIN_1000Genomes + Irish_Dodecad + Sephardic_Jews_Behar @ 2.187974
9 Cornwall_1000 Genomes + FIN_1000Genomes + Lithuanians_Behar + Sephardic_Jews_Behar @ 2.189934
10 British_Dodecad + FIN_1000Genomes + Lithuanians_Behar + Sephardic_Jews_Behar @ 2.209653
11 FIN_1000Genomes + German_Dodecad + Morocco_Jews_Behar + Polish_Dodecad @ 2.211215
12 FIN_1000Genomes + Morocco_Jews_Behar + Orkney_1000 Genomes + Polish_Dodecad @ 2.219619
13 FIN_1000Genomes + Mixed_Slav_Dodecad + Sephardic_Jews_Behar + Swedish_Dodecad @ 2.243397
14 FIN_1000Genomes + Morocco_Jews_Behar + Polish_Dodecad + Argyll_1000 Genomes @ 2.248694
15 Dutch_Dodecad + Finnish_Dodecad + Morocco_Jews_Behar + Polish_Dodecad @ 2.253620
16 British_Isles_Dodecad + Finnish_Dodecad + Polish_Dodecad + Sephardic_Jews_Behar @ 2.295839
17 FIN_1000Genomes + Morocco_Jews_Behar + Orcadian_HGDP + Polish_Dodecad @ 2.304199
18 Belorussian_Behar + FIN_1000Genomes + Irish_Dodecad + Morocco_Jews_Behar @ 2.304573
19 FIN_1000Genomes + Morocco_Jews_Behar + Polish_Dodecad + N._European_Xing @ 2.325543
20 British_Isles_Dodecad + FIN_1000Genomes + Lithuanians_Behar + Sephardic_Jews_Behar @ 2.336980

JosephK
08-21-2018, 09:43 PM
Dodecad V3 had closest results, ever (4 populations approximation), for my wife, who's 1/4 Polish, 1/4 Lithuanian, 1/4 Italian and 1/4 Colonial American:

1 West_European 41.90
2 East_European 22.65
3 Mediterranean 22.11
4 West_Asian 9.02
5 Southwest_Asian 3.31


Using 1 population approximation:
1 Slovenian_Xing @ 3.007179
2 Hungarians_Behar @ 7.384072
3 German_Dodecad @ 12.604997
4 N._European_Xing @ 17.205053
5 CEU_HapMap @ 17.251184
6 Argyll_1000 Genomes @ 17.943233
7 Orcadian_HGDP @ 18.916328
8 Orkney_1000 Genomes @ 19.163008
9 Balkans_Dodecad @ 20.458744
10 FIN_1000Genomes @ 23.386311
11 Romanians_14_Behar @ 23.685717
12 French_Dodecad @ 24.104437
13 Polish_Dodecad @ 24.353252
14 French_HGDP @ 24.474516
15 Mixed_Slav_Dodecad @ 24.670227
16 Mixed_Germanic_Dodecad @ 24.965033
17 Dutch_Dodecad @ 26.802328
18 Swedish_Dodecad @ 27.793673
19 Tuscan_Xing @ 28.270222
20 Tuscan_Henn @ 28.320606

Using 2 populations approximation:
1 50% Slovenian_Xing +50% Slovenian_Xing @ 3.007179


Using 3 populations approximation:
1 50% German_Dodecad +25% Russian_HGDP +25% Tuscan_Henn @ 1.474383


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++
1 Cornwall_1000 Genomes + Lithuanian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 0.794139
2 German_Dodecad + Lithuanian_Dodecad + Norwegian_Dodecad + S_Italian_Sicilian_Dodecad @ 0.804628
3 Belorussian_Behar + Norwegian_Dodecad + TSI_HapMap + Slovenian_Xing @ 0.825455
4 German_Dodecad + Lithuanians_Behar + S_Italian_Sicilian_Dodecad + Swedish_Dodecad @ 0.829436
5 British_Dodecad + Lithuanian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 0.867307
6 German_Dodecad + Lithuanians_Behar + Norwegian_Dodecad + S_Italian_Sicilian_Dodecad @ 0.880476
7 CEU_HapMap + Lithuanian_Dodecad + S_Italian_Sicilian_Dodecad + Swedish_Dodecad @ 0.894695
8 British_Isles_Dodecad + Lithuanian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 0.941406
9 Cornwall_1000 Genomes + Lithuanian_Dodecad + Slovenian_Xing + Tuscan_Xing @ 0.959285
10 British_Dodecad + Lithuanian_Dodecad + TSI_HapMap + Slovenian_Xing @ 0.968074
11 British_Dodecad + Lithuanian_Dodecad + Slovenian_Xing + Tuscan_Xing @ 0.981668
12 Lithuanian_Dodecad + Orcadian_HGDP + S_Italian_Sicilian_Dodecad + Swedish_Dodecad @ 0.986244
13 British_Isles_Dodecad + Lithuanian_Dodecad + TSI_HapMap + Slovenian_Xing @ 1.006014
14 German_Dodecad + Lithuanian_Dodecad + Norwegian_Dodecad + S_Italian_Dodecad @ 1.015642
15 Cornwall_1000 Genomes + Lithuanian_Dodecad + TSI_HapMap + Slovenian_Xing @ 1.022977
16 Belorussian_Behar + Norwegian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 1.024447
17 Lithuanian_Dodecad + S_Italian_Sicilian_Dodecad + Swedish_Dodecad + Argyll_1000 Genomes @ 1.027399
18 British_Isles_Dodecad + Lithuanians_Behar + Slovenian_Xing + Tuscan_Xing @ 1.029181
19 Belorussian_Behar + Norwegian_Dodecad + Slovenian_Xing + Tuscan_Xing @ 1.046889
20 Kent_1000 Genomes + Lithuanian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 1.053126

Xtian
08-22-2018, 08:23 AM
Like 2.3% is missing here. Can you show me the full result? Your Caucasus score is nothing special for a Russian, to be honest. I get around 10% Caucasus and 5% Gedrosia and I have no Caucasian ancestry.



I would agree, however FTDNA scores me 6% Turkish and LDNA scores 5% Turkish. Eurogenese has my Caucasian at 12.9 % which is much higher than the Russian and Ukrainian reference samples.

I dont like Dodecad as it suggest im Hungarian, Also the mixed populations are impossible.

# Population Percent
1 North_European 54.34
2 Atlantic_Med 22.39
3 Caucasus 11.89
4 Gedrosia 6.61
5 Siberian 2.49
6 Southwest_Asian 0.97
7 Southeast_Asian 0.55
8 Northwest_African 0.47
9 South_Asian 0.23
10 East_African 0.05

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 8.72
2 Polish (Dodecad) 10.44
3 Ukranians (Yunusbayev) 11.84
4 German (Dodecad) 11.9
5 Mixed_Slav (Dodecad) 12.06
6 Swedish (Dodecad) 14.03
7 Russian (Dodecad) 14.32
8 Mordovians (Yunusbayev) 14.53
9 Belorussian (Behar) 15.27
10 Russian_B (Behar) 15.55



# Primary Population (source) Secondary Population (source) Distance
1 55% German (Dodecad) + 45% Mordovians (Yunusbayev) @ 1.69
2 64.9% Mordovians (Yunusbayev) + 35.1% French (HGDP) @ 2.2
3 56.7% Mordovians (Yunusbayev) + 43.3% Mixed_Germanic (Dodecad) @ 2.51
4 73.1% Mordovians (Yunusbayev) + 26.9% Cataluna (1000Genomes) @ 2.86
5 75% Mordovians (Yunusbayev) + 25% Valencia (1000Genomes) @ 2.99
6 74.1% Mordovians (Yunusbayev) + 25.9% Spaniards (Behar) @ 3.08
7 75.4% Mordovians (Yunusbayev) + 24.6% Aragon (1000Genomes) @ 3.13
8 74.6% Mordovians (Yunusbayev) + 25.4% Cantabria (1000Genomes) @ 3.15
9 57% Mordovians (Yunusbayev) + 43% Dutch (Dodecad) @ 3.23
10 75.2% Mordovians (Yunusbayev) + 24.8% Castilla_La_Mancha (1000Genomes) @ 3.27



Maybe I have some Volga German? It has nothing to do with the patriotic war as I know my family tree back to Revolution times.

JerryS.
08-22-2018, 12:19 PM
Hello JerryS,

The Vatican flag represents my religion, Catholic. The other flags represent the origins of my ancestors, England, Scotland and Ireland, my nationality and the flag for Schleswig Holstein is for my Haplogroup, which is generally believed to have originated in that area.

based on the regular oracle, what would you say is the reason for the considerable showing of the north Mediterranean region in your admixture? thanks.

JerryS.
08-22-2018, 12:32 PM
Dodecad V3 had closest results, ever (4 populations approximation), for my wife, who's 1/4 Polish, 1/4 Lithuanian, 1/4 Italian and 1/4 Colonial American:

1 West_European 41.90
2 East_European 22.65
3 Mediterranean 22.11
4 West_Asian 9.02
5 Southwest_Asian 3.31


Using 1 population approximation:
1 Slovenian_Xing @ 3.007179
2 Hungarians_Behar @ 7.384072
3 German_Dodecad @ 12.604997
4 N._European_Xing @ 17.205053
5 CEU_HapMap @ 17.251184
6 Argyll_1000 Genomes @ 17.943233
7 Orcadian_HGDP @ 18.916328
8 Orkney_1000 Genomes @ 19.163008
9 Balkans_Dodecad @ 20.458744
10 FIN_1000Genomes @ 23.386311
11 Romanians_14_Behar @ 23.685717
12 French_Dodecad @ 24.104437
13 Polish_Dodecad @ 24.353252
14 French_HGDP @ 24.474516
15 Mixed_Slav_Dodecad @ 24.670227
16 Mixed_Germanic_Dodecad @ 24.965033
17 Dutch_Dodecad @ 26.802328
18 Swedish_Dodecad @ 27.793673
19 Tuscan_Xing @ 28.270222
20 Tuscan_Henn @ 28.320606

Using 2 populations approximation:
1 50% Slovenian_Xing +50% Slovenian_Xing @ 3.007179


Using 3 populations approximation:
1 50% German_Dodecad +25% Russian_HGDP +25% Tuscan_Henn @ 1.474383


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++
1 Cornwall_1000 Genomes + Lithuanian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 0.794139
2 German_Dodecad + Lithuanian_Dodecad + Norwegian_Dodecad + S_Italian_Sicilian_Dodecad @ 0.804628
3 Belorussian_Behar + Norwegian_Dodecad + TSI_HapMap + Slovenian_Xing @ 0.825455
4 German_Dodecad + Lithuanians_Behar + S_Italian_Sicilian_Dodecad + Swedish_Dodecad @ 0.829436
5 British_Dodecad + Lithuanian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 0.867307
6 German_Dodecad + Lithuanians_Behar + Norwegian_Dodecad + S_Italian_Sicilian_Dodecad @ 0.880476
7 CEU_HapMap + Lithuanian_Dodecad + S_Italian_Sicilian_Dodecad + Swedish_Dodecad @ 0.894695
8 British_Isles_Dodecad + Lithuanian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 0.941406
9 Cornwall_1000 Genomes + Lithuanian_Dodecad + Slovenian_Xing + Tuscan_Xing @ 0.959285
10 British_Dodecad + Lithuanian_Dodecad + TSI_HapMap + Slovenian_Xing @ 0.968074
11 British_Dodecad + Lithuanian_Dodecad + Slovenian_Xing + Tuscan_Xing @ 0.981668
12 Lithuanian_Dodecad + Orcadian_HGDP + S_Italian_Sicilian_Dodecad + Swedish_Dodecad @ 0.986244
13 British_Isles_Dodecad + Lithuanian_Dodecad + TSI_HapMap + Slovenian_Xing @ 1.006014
14 German_Dodecad + Lithuanian_Dodecad + Norwegian_Dodecad + S_Italian_Dodecad @ 1.015642
15 Cornwall_1000 Genomes + Lithuanian_Dodecad + TSI_HapMap + Slovenian_Xing @ 1.022977
16 Belorussian_Behar + Norwegian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 1.024447
17 Lithuanian_Dodecad + S_Italian_Sicilian_Dodecad + Swedish_Dodecad + Argyll_1000 Genomes @ 1.027399
18 British_Isles_Dodecad + Lithuanians_Behar + Slovenian_Xing + Tuscan_Xing @ 1.029181
19 Belorussian_Behar + Norwegian_Dodecad + Slovenian_Xing + Tuscan_Xing @ 1.046889
20 Kent_1000 Genomes + Lithuanian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 1.053126

fairly similar to mine. I take it that her Colonial American is mostly English? Mine is English and Scottish. My German is northern and Italian is southern.

1 Dutch_Dodecad + German_Dodecad + Tuscan_HGDP + Slovenian_Xing @ 1.146489
2 CEU_HapMap + Dutch_Dodecad + Hungarians_Behar + O_Italian_Dodecad @ 1.159918
3 Dutch_Dodecad + Hungarians_Behar + Tuscan_HGDP + N._European_Xing @ 1.209673
4 C_Italian_Dodecad + French_HGDP + Hungarians_Behar + Norwegian_Dodecad @ 1.218988
5 Balkans_Dodecad + Dutch_Dodecad + Norwegian_Dodecad + Tuscan_HGDP @ 1.221361
6 C_Italian_Dodecad + French_HGDP + Hungarians_Behar + Swedish_Dodecad @ 1.222337
7 C_Italian_Dodecad + French_Dodecad + Swedish_Dodecad + Slovenian_Xing @ 1.230824
8 C_Italian_Dodecad + French_Dodecad + Hungarians_Behar + Norwegian_Dodecad @ 1.250941
9 Hungarians_Behar + Mixed_Germanic_Dodecad + Tuscan_HGDP + N._European_Xing @ 1.270806
10 Balkans_Dodecad + Irish_Dodecad + N_Italian_Dodecad + N._European_Xing @ 1.283726
11 German_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Sicilian_Dodecad @ 1.318025
12 Orkney_1000 Genomes + Tuscan_HGDP + N._European_Xing + Slovenian_Xing @ 1.324871
13 CEU_HapMap + Hungarians_Behar + Kent_1000 Genomes + O_Italian_Dodecad @ 1.326754
14 French_HGDP + German_Dodecad + TSI_HapMap + Slovenian_Xing @ 1.328160
15 German_Dodecad + Orcadian_HGDP + Orkney_1000 Genomes + Sicilian_Dodecad @ 1.328870
16 British_Isles_Dodecad + C_Italian_Dodecad + Hungarians_Behar + Orcadian_HGDP @ 1.336456
17 French_Dodecad + Argyll_1000 Genomes + Tuscan_Henn + Slovenian_Xing @ 1.341166
18 German_Dodecad + Orkney_1000 Genomes + Orkney_1000 Genomes + Sicilian_Dodecad @ 1.344294
19 Balkans_Dodecad + French_Dodecad + Norwegian_Dodecad + TSI_HapMap @ 1.347629
20 British_Isles_Dodecad + C_Italian_Dodecad + Hungarians_Behar + Orkney_1000 Genomes @ 1.363927

Leto
08-22-2018, 01:13 PM
I would agree, however FTDNA scores me 6% Turkish and LDNA scores 5% Turkish. Eurogenese has my Caucasian at 12.9 % which is much higher than the Russian and Ukrainian reference samples.

I dont like Dodecad as it suggest im Hungarian, Also the mixed populations are impossible.

# Population Percent
1 North_European 54.34
2 Atlantic_Med 22.39
3 Caucasus 11.89
4 Gedrosia 6.61
5 Siberian 2.49
6 Southwest_Asian 0.97
7 Southeast_Asian 0.55
8 Northwest_African 0.47
9 South_Asian 0.23
10 East_African 0.05

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 8.72
2 Polish (Dodecad) 10.44
3 Ukranians (Yunusbayev) 11.84
4 German (Dodecad) 11.9
5 Mixed_Slav (Dodecad) 12.06
6 Swedish (Dodecad) 14.03
7 Russian (Dodecad) 14.32
8 Mordovians (Yunusbayev) 14.53
9 Belorussian (Behar) 15.27
10 Russian_B (Behar) 15.55



# Primary Population (source) Secondary Population (source) Distance
1 55% German (Dodecad) + 45% Mordovians (Yunusbayev) @ 1.69
2 64.9% Mordovians (Yunusbayev) + 35.1% French (HGDP) @ 2.2
3 56.7% Mordovians (Yunusbayev) + 43.3% Mixed_Germanic (Dodecad) @ 2.51
4 73.1% Mordovians (Yunusbayev) + 26.9% Cataluna (1000Genomes) @ 2.86
5 75% Mordovians (Yunusbayev) + 25% Valencia (1000Genomes) @ 2.99
6 74.1% Mordovians (Yunusbayev) + 25.9% Spaniards (Behar) @ 3.08
7 75.4% Mordovians (Yunusbayev) + 24.6% Aragon (1000Genomes) @ 3.13
8 74.6% Mordovians (Yunusbayev) + 25.4% Cantabria (1000Genomes) @ 3.15
9 57% Mordovians (Yunusbayev) + 43% Dutch (Dodecad) @ 3.23
10 75.2% Mordovians (Yunusbayev) + 24.8% Castilla_La_Mancha (1000Genomes) @ 3.27



Maybe I have some Volga German? It has nothing to do with the patriotic war as I know my family tree back to Revolution times.
So your grandparents were all recorded as Russian? If you have Terek Cossack ancestors, they may have mixed with Caucasian peoples, who knows. Anyway, that would be distant roots. Your SW Asian, Siberian and South Asian percentages don't suggest anything unusual.
Dodecad oracles are indeed terrible, they have totally inaccurate reference populations but I like the components on Dodecad K12b.

Leto
08-22-2018, 01:17 PM
@Xtian
Find threads about puntDNAL K15 and MDLP K16 and post your results. Those are more recent calculators with better oracles, particularly for us Russians and Eastern Europeans.

Xtian
08-22-2018, 02:09 PM
@Xtian
Find threads about puntDNAL K15 and MDLP K16 and post your results. Those are more recent calculators with better oracles, particularly for us Russians and Eastern Europeans.

Puntdnal k13 is good, K15 is nonsense for me

JosephK
08-22-2018, 02:21 PM
fairly similar to mine. I take it that her Colonial American is mostly English? Mine is English and Scottish. My German is northern and Italian is southern.


Yep, her colonial side is primarily English, with a little French mixed in, which we only figured out after I ran her father's results through GEDMatch, and it turned out that some French ancestors Anglicized their names... Her Italian is Southern as well, and the commercial companies don't even recognize any Italian, but some West Asian, Middle East, etc...

Leto
08-22-2018, 02:29 PM
Puntdnal k13 is good, K15 is nonsense for me
Why? Post them here:
https://anthrogenica.com/showthread.php?13967-Post-Your-puntDNAL-K15-Results/page4
The other punt calculators give a lot of "Amerindian" to me which makes no sense.

Xtian
08-23-2018, 08:27 AM
Why? Post them here:
https://anthrogenica.com/showthread.php?13967-Post-Your-puntDNAL-K15-Results/page4
The other punt calculators give a lot of "Amerindian" to me which makes no sense.

ok Ill post both

Leto
08-23-2018, 10:54 AM
ok Ill post both
OK. So you got 95% East European, 4% Asia Minor (not synonymous with Turkish) and 1% Sephardic Jewish? There was a Bosnian guy on another forum, he got like 12% Asia Minor, however GEDmatch showed that he was very Northeastern-shifted for his region. Like 35% Baltic on Eurogenes K13. I guess Asia Minor might be in fact some Southern European stuff in some cases.

Are you exclusively from Krasnodar krai? South Russia was extensively populated by Cossacks and Ukrainian peasants in the 17-18th centuries.

Xtian
08-23-2018, 11:33 AM
OK. So you got 95% East European, 4% Asia Minor (not synonymous with Turkish) and 1% Sephardic Jewish? There was a Bosnian guy on another forum, he got like 12% Asia Minor, however GEDmatch showed that he was very Northeastern-shifted for his region. Like 35% Baltic on Eurogenes K13. I guess Asia Minor might be in fact some Southern European stuff in some cases.

Are you exclusively from Krasnodar krai? South Russia was extensively populated by Cossacks and Ukrainian peasants in the 17-18th centuries.

Mother krasnodar and rostov region. Father Volgograd region.

I agree about Asia minor and balkans, with the same data FTDNA, MY heritage says

East Euro- 67.7
Baltic-15.3
Balkan-10.1

Iberian 4.8 (wtf?)

Central Asian 1.2

IrlandandWales 0.9 (lol)

havik95
08-23-2018, 12:55 PM
Population Percent
1 West_Asian 41.91
2 Mediterranean 18.25
3 Southwest_Asian11.96
4 South_Asian 11.44
5 West_European 9.42
6 East_European 4.36
7 Northeast_Asian1.03
8 East_African 0.98
9 Neo_African 0.4
10 Northwest_African0.25

JosePinto1
08-23-2018, 02:30 PM
Population
East_European 4.20
West_European 33.86
Mediterranean 36.58
Neo_African 2.38
West_Asian 7.90
South_Asian -
Northeast_Asian -
Southeast_Asian -
East_African 0.07
Southwest_Asian 6.08
Northwest_African 8.76
Palaeo_African 0.17

JMcB
08-29-2018, 03:22 AM
And mine:

Population Percent
1 West_European 52.12
2 Mediterranean 29.43
3 East_European 10.08
4 West_Asian 7.12
5 Northeast_Asian 0.71
6 Southwest_Asian 0.45
7 Palaeo_African 0.05
8 Northwest_African 0.04

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.97
2 Orcadian (HGDP) 5.66
3 Orkney (1000 Genomes) 6.11
4 Argyll (1000 Genomes) 6.46
5 N._European (Xing) 6.63
6 French (Dodecad) 7.06
7 French (HGDP) 7.07
8 German (Dodecad) 9.22
9 Mixed_Germanic (Dodecad) 10.86
10 Dutch (Dodecad) 11.23
11 Kent (1000 Genomes) 13.15
12 British_Isles (Dodecad) 15.03
13 British (Dodecad) 15.06
14 Cornwall (1000 Genomes) 15.6
15 Slovenian (Xing) 16.77
16 French_Basque (HGDP) 17.86
17 Irish (Dodecad) 18.13
18 Swedish (Dodecad) 19.45
19 Norwegian (Dodecad) 19.9
20 Portuguese (Dodecad) 20.38

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.5% Orcadian (HGDP) + 17.5% North_Italian (HGDP) @ 0.97
2 81.3% Orkney (1000 Genomes) + 18.7% North_Italian (HGDP) @ 1.05
3 84.6% CEU (HapMap) + 15.4% Spaniards (Behar) @ 1.16
4 85.5% Orcadian (HGDP) + 14.5% Sardinian (HGDP) @ 1.21
5 85.3% CEU (HapMap) + 14.7% Spanish (Dodecad) @ 1.23
6 85.5% CEU (HapMap) + 14.5% IBS (1000Genomes) @ 1.23
7 80.5% Orcadian (HGDP) + 19.5% N_Italian (Dodecad) @ 1.38
8 77.7% Argyll (1000 Genomes) + 22.3% Spanish (Dodecad) @ 1.39
9 76.7% Argyll (1000 Genomes) + 23.3% Spaniards (Behar) @ 1.39
10 77.8% Argyll (1000 Genomes) + 22.2% IBS (1000Genomes) @ 1.4
11 89.8% CEU (HapMap) + 10.2% Sardinian (HGDP) @ 1.42
12 79.3% Orkney (1000 Genomes) + 20.7% N_Italian (Dodecad) @ 1.45
13 87.6% CEU (HapMap) + 12.4% North_Italian (HGDP) @ 1.45
14 83.9% Argyll (1000 Genomes) + 16.1% Sardinian (HGDP) @ 1.49
15 84.7% Orkney (1000 Genomes) + 15.3% Sardinian (HGDP) @ 1.49
16 56.9% French (HGDP) + 43.1% German (Dodecad) @ 1.56
17 80.3% Orcadian (HGDP) + 19.7% IBS (1000Genomes) @ 1.61
18 80.3% Orcadian (HGDP) + 19.7% Spanish (Dodecad) @ 1.74
19 84.2% French (HGDP) + 15.8% Finnish (Dodecad) @ 1.77
20 85.1% CEU (HapMap) + 14.9% Portuguese (Dodecad) @ 1.78

Lollybolly
08-29-2018, 02:34 PM
# Population Percent
1 South_Asian 38.63
2 West_Asian 27.35
3 West_European 11.27
4 East_European 9.71
5 Mediterranean 4.3
6 Southwest_Asian 3.44
7 Southeast_Asian 2.57
8 Northeast_Asian 2.18
9 Neo_African 0.34
10 Palaeo_African 0.19
11 Northwest_African 0.04

Single Population Sharing:

# Population (source) Distance
1 Pathan (HGDP) 4.56
2 Kashmiri_Pandit (Reich) 7.13
3 Pakistani (Xing) 8.36
4 Burusho (HGDP) 8.66
5 Sindhi (HGDP) 9.53
6 Balochi (HGDP) 10.95
7 Brahui (HGDP) 12.14
8 Bnei_Menashe_Jews (Behar) 14.61
9 Makrani (HGDP) 15.52
10 Kalash (HGDP) 15.72
11 Vaish (Reich) 18.79
12 Meghawal (Reich) 18.97
13 Cochin_Jews (Behar) 19.09
14 TN_Brahmin (Xing) 22.17
15 Srivastava (Reich) 22.65
16 AP_Brahmin (Xing) 23.24
17 Indian (Dodecad) 25.24
18 Nepalese (Xing) 25.75
19 Velama (Reich) 27.16
20 Tharu (Reich) 28.22

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 86.5% Pakistani (Xing) + 13.5% Lezgins (Behar) @ 3.62
2 86.3% Pakistani (Xing) + 13.7% Adygei (HGDP) @ 3.72
3 88.8% Kashmiri_Pandit (Reich) + 11.2% Lezgins (Behar) @ 3.75
4 87.7% Pathan (HGDP) + 12.3% Kalash (HGDP) @ 4.03
5 83.4% Pakistani (Xing) + 16.6% Urkarah (Xing) @ 4.07
6 86.3% Kashmiri_Pandit (Reich) + 13.7% Urkarah (Xing) @ 4.13
7 71.8% Meghawal (Reich) + 28.2% Adygei (HGDP) @ 4.14
8 62.3% Srivastava (Reich) + 37.7% Urkarah (Xing) @ 4.33
9 97.4% Pathan (HGDP) + 2.6% Chuvashs_16 (Behar) @ 4.35
10 98% Pathan (HGDP) + 2% Lithuanian (Dodecad) @ 4.36
11 97.3% Pathan (HGDP) + 2.7% Lezgins (Behar) @ 4.36
12 81.2% Pathan (HGDP) + 18.8% Kashmiri_Pandit (Reich) @ 4.37
13 97.5% Pathan (HGDP) + 2.5% Adygei (HGDP) @ 4.4
14 98.2% Pathan (HGDP) + 1.8% Lithuanians (Behar) @ 4.4
15 66.5% Meghawal (Reich) + 33.5% Urkarah (Xing) @ 4.4
16 98.1% Pathan (HGDP) + 1.9% Russian (HGDP) @ 4.43
17 89.4% Kashmiri_Pandit (Reich) + 10.6% Adygei (HGDP) @ 4.43
18 91.8% Pathan (HGDP) + 8.2% Brahui (HGDP) @ 4.45
19 93.7% Pathan (HGDP) + 6.3% Makrani (HGDP) @ 4.45
20 91.1% Pathan (HGDP) + 8.9% Balochi (HGDP) @ 4.46

Sizzles
08-29-2018, 05:09 PM
Admix Results (sorted):

# Population Percent
1 West_European 35.94
2 Mediterranean 28.76
3 West_Asian 14.68
4 East_European 12.49
5 Southwest_Asian 4.79
6 Northwest_African 2.13
7 South_Asian 0.9
8 Northeast_Asian 0.3

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 11.98
2 Tuscan (Xing) 12.38
3 Tuscan (Henn) 12.62
4 TSI (HapMap) 12.92
5 Hungarians (Behar) 14.64
6 N_Italian (Dodecad) 16.24
7 Romanians_14 (Behar) 16.46
8 Balkans (Dodecad) 17.68
9 O_Italian (Dodecad) 17.93
10 CEU (HapMap) 18.04
11 German (Dodecad) 18.45
12 French (HGDP) 18.53
13 N._European (Xing) 18.55
14 French (Dodecad) 18.65
15 Ashkenazy_Jews (Behar) 19.57
16 Argyll (1000 Genomes) 19.68
17 Orcadian (HGDP) 20.2
18 Orkney (1000 Genomes) 20.54
19 Portuguese (Dodecad) 20.62
20 Ashkenazi (Dodecad) 21.15

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 75.2% TSI (HapMap) + 24.8% Finnish (Dodecad) @ 2.17
2 52% Slovenian (Xing) + 48% TSI (HapMap) @ 2.34
3 68.7% German (Dodecad) + 31.3% Cypriots (Behar) @ 2.36
4 50.9% Slovenian (Xing) + 49.1% Tuscan (Xing) @ 2.37
5 73.4% Tuscan (Xing) + 26.6% FIN (1000Genomes) @ 2.54
6 51.4% Slovenian (Xing) + 48.6% Tuscan (Henn) @ 2.55
7 54.7% Greek (Dodecad) + 45.3% Swedish (Dodecad) @ 2.74
8 75.8% Tuscan (Henn) + 24.2% Finnish (Dodecad) @ 2.76
9 63.6% German (Dodecad) + 36.4% Sephardic_Jews (Behar) @ 2.77
10 51.5% German (Dodecad) + 48.5% Ashkenazy_Jews (Behar) @ 2.79
11 53.5% German (Dodecad) + 46.5% Ashkenazi (Dodecad) @ 2.93
12 72.7% TSI (HapMap) + 27.3% FIN (1000Genomes) @ 3.01
13 73.2% Tuscan (Henn) + 26.8% FIN (1000Genomes) @ 3.2
14 59.6% German (Dodecad) + 40.4% S_Italian_Sicilian (Dodecad) @ 3.3
15 62.3% German (Dodecad) + 37.7% S_Italian (Dodecad) @ 3.31
16 61% German (Dodecad) + 39% Sicilian (Dodecad) @ 3.49
17 58.9% N._European (Xing) + 41.1% Greek (Dodecad) @ 3.52
18 65.5% O_Italian (Dodecad) + 34.5% FIN (1000Genomes) @ 3.58
19 55.9% Greek (Dodecad) + 44.1% Norwegian (Dodecad) @ 3.6
20 59.6% German (Dodecad) + 40.4% Morocco_Jews (Behar) @ 3.62

Too mixed for oracle 4, not relevant

IronHorse
03-29-2019, 04:31 PM
Bedouins descend from Bedouinus, Lord of the Greater Fiends, Master of Chaos, and King of the Underworld.



#
Population
Percent


1
Southwest_Asian
41.59


2
Mediterranean
20.94


3
West_Asian
20.51


4
East_African
6.73


5
Northwest_African
3.66


6
South_Asian
2.12


7
West_European
1.67


8
Neo_African
0.98


9
Palaeo_African
0.66


10
Northeast_Asian
0.48


11
Southeast_Asian
0.34


12
East_European
0.34



Single Population Sharing:



#
Population (source)
Distance


1
Bedouin (HGDP)
3.24


2
Egyptans (Behar)
12.91


3
Jordanians_19 (Behar)
15.24


4
Yemenese (Behar)
17.56


5
Syrians (Behar)
17.67


6
Egypt (Henn)
18.1


7
Palestinian (HGDP)
18.71


8
Lebanese (Behar)
20.8


9
Samaritians (Behar)
22.29


10
Libya (Henn)
23.09


11
Georgia_Jews (Behar)
25.38


12
Iraq_Jews (Behar)
27.01


13
Iranian_Jews (Behar)
27.37


14
Druze (HGDP)
28.49


15
Uzbekistan_Jews (Behar)
28.63


16
Yemen_Jews (Behar)
29.26


17
Morocco_Jews (Behar)
29.68


18
Azerbaijan_Jews (Behar)
30.86


19
Saudis (Behar)
31.49


20
Kurd (Xing)
32.31



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

98.2%
Bedouin (HGDP)
+
1.8%
Cochin_Jews (Behar)
@
3.07


2

98.5%
Bedouin (HGDP)
+
1.5%
Indian (Dodecad)
@
3.07


3

97.8%
Bedouin (HGDP)
+
2.2%
Bnei_Menashe_Jews (Behar)
@
3.07


4

98.6%
Bedouin (HGDP)
+
1.4%
GIH (HapMap)
@
3.07


5

98.5%
Bedouin (HGDP)
+
1.5%
Naidu (Reich)
@
3.07


6

98.5%
Bedouin (HGDP)
+
1.5%
INS (SGVP)
@
3.07


7

98.9%
Bedouin (HGDP)
+
1.1%
Irula (Xing)
@
3.07


8

98.4%
Bedouin (HGDP)
+
1.6%
TN_Brahmin (Xing)
@
3.07


9

98.4%
Bedouin (HGDP)
+
1.6%
AP_Brahmin (Xing)
@
3.07


10

98.4%
Bedouin (HGDP)
+
1.6%
Meghawal (Reich)
@
3.07


11

98.6%
Bedouin (HGDP)
+
1.4%
Vysya (Reich)
@
3.08


12

98.5%
Bedouin (HGDP)
+
1.5%
Velama (Reich)
@
3.08


13

98.8%
Bedouin (HGDP)
+
1.2%
North_Kannadi (Behar)
@
3.08


14

98.6%
Bedouin (HGDP)
+
1.4%
Kamsali (Reich)
@
3.08


15

98.6%
Bedouin (HGDP)
+
1.4%
Hallaki (Reich)
@
3.08


16

98.2%
Bedouin (HGDP)
+
1.8%
Pakistani (Xing)
@
3.08


17

98.7%
Bedouin (HGDP)
+
1.3%
TN_Dalit (Xing)
@
3.08


18

98.6%
Bedouin (HGDP)
+
1.4%
Lodi (Reich)
@
3.08


19

98.1%
Bedouin (HGDP)
+
1.9%
Pathan (HGDP)
@
3.08


20

98.7%
Bedouin (HGDP)
+
1.3%
AP_Madiga (Xing)
@
3.09





Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++
1 Bedouin_HGDP + Egyptans_Behar + Georgia_Jews_Behar + Yemen_Jews_Behar @ 2.323572
2 Bedouin_HGDP + Egyptans_Behar + Iranian_Jews_Behar + Yemen_Jews_Behar @ 2.445529
3 Bedouin_HGDP + Egyptans_Behar + Uzbekistan_Jews_Behar + Yemen_Jews_Behar @ 2.541978
4 Bedouin_HGDP + Syrians_Behar + Yemen_Jews_Behar + Egypt_Henn @ 2.550209
5 Bedouin_HGDP + Jordanians_19_Behar + Yemen_Jews_Behar + Egypt_Henn @ 2.624549
6 Bedouin_HGDP + Egyptans_Behar + Iraq_Jews_Behar + Yemen_Jews_Behar @ 2.708233
7 Bedouin_HGDP + Jordanians_19_Behar + Saudis_Behar + Egypt_Henn @ 2.834513
8 Bedouin_HGDP + Palestinian_HGDP + Yemen_Jews_Behar + Egypt_Henn @ 2.876765
9 Bedouin_HGDP + Bedouin_HGDP + Bedouin_HGDP + Bedouin_HGDP @ 2.918444
10 Bedouin_HGDP + Samaritians_Behar + Saudis_Behar + Egypt_Henn @ 2.931420
11 Bedouin_HGDP + Egyptans_Behar + Samaritians_Behar + Saudis_Behar @ 2.938407
12 Bedouin_HGDP + Egyptans_Behar + Lebanese_Behar + Yemen_Jews_Behar @ 2.987252
13 Bedouin_HGDP + Palestinian_HGDP + Saudis_Behar + Egypt_Henn @ 3.035947
14 Azerbaijan_Jews_Behar + Bedouin_HGDP + Egyptans_Behar + Yemen_Jews_Behar @ 3.055668
15 Bedouin_HGDP + Druze_HGDP + Egyptans_Behar + Saudis_Behar @ 3.071286
16 Bedouin_HGDP + Druze_HGDP + Egyptans_Behar + Yemen_Jews_Behar @ 3.106899
17 Bedouin_HGDP + Lebanese_Behar + Saudis_Behar + Egypt_Henn @ 3.112528
18 Bedouin_HGDP + Lebanese_Behar + Yemen_Jews_Behar + Egypt_Henn @ 3.117271
19 Bedouin_HGDP + Egyptans_Behar + Samaritians_Behar + Yemen_Jews_Behar @ 3.118955
20 Bedouin_HGDP + Egyptans_Behar + Palestinian_HGDP + Yemen_Jews_Behar @ 3.145683

Magovalle
04-19-2019, 01:38 PM
Hi there, guys. My results for ur guidance:

Oracle

Population Percent

1 West_European 40.16
2 Mediterranean 35.09
3 West_Asian 7.64
4 Northwest_African 5.78
5 Southwest_Asian 5.76
6 East_European 3.55
7 Neo_African 0.62
8 East_African 0.48
9 Northeast_Asian 0.38
10 Southeast_Asian 0.34
11 Palaeo_African 0.2

Single Population Sharing:

Population (source) Distance

1 Portuguese (Dodecad) 9.76
2 French (Dodecad) 12.15
3 French (HGDP) 12.31
4 N_Italian (Dodecad) 13.09
5 IBS (1000Genomes) 13.2
6 Spaniards (Behar) 13.25
7 Tuscan (Henn) 13.57
8 Spanish (Dodecad) 13.6
9 TSI (HapMap) 14.07
10 Tuscan (Xing) 14.22
11 North_Italian (HGDP) 16.42
12 French_Basque (HGDP) 17.26
13 CEU (HapMap) 17.85
14 O_Italian (Dodecad) 18.01
15 N._European (Xing) 19
16 Orcadian (HGDP) 19.82
17 Tuscan (HGDP) 19.9
18 Orkney (1000 Genomes) 20.12
19 Argyll (1000 Genomes) 20.15
20 Slovenian (Xing) 21.03

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance

1 77.2% French (HGDP) + 22.8% North_African (Dodecad) @ 3.01
2 75.7% French (HGDP) + 24.3% Morocco_N (Henn) @ 3.81
3 79.1% French (HGDP) + 20.9% TUNISIA (Henn) @ 3.98
4 78.3% French (Dodecad) + 21.7% Libya (Henn) @ 4.31
5 77.1% French (HGDP) + 22.9% Algeria (Henn) @ 4.34
6 71.7% French (Dodecad) + 28.3% Morocco_Jews (Behar) @ 4.35
7 78.2% French (HGDP) + 21.8% Libya (Henn) @ 4.59
8 79% French (Dodecad) + 21% Egypt (Henn) @ 4.63
9 81.1% French (HGDP) + 18.9% Moroccans (Behar) @ 4.69
10 81% French (HGDP) + 19% Sahara_OCC (Henn) @ 4.8
11 75% French (Dodecad) + 25% Sephardic_Jews (Behar) @ 5.03
12 71.9% French (HGDP) + 28.1% Morocco_Jews (Behar) @ 5.16
13 79% French (HGDP) + 21% Egypt (Henn) @ 5.17
14 74.9% French (HGDP) + 25.1% Sephardic_Jews (Behar) @ 5.39
15 80.1% French (Dodecad) + 19.9% Palestinian (HGDP) @ 5.54
16 81% French (Dodecad) + 19% Jordanians_19 (Behar) @ 5.72
17 80.6% French (Dodecad) + 19.4% Lebanese (Behar) @ 5.79
18 81.1% French (Dodecad) + 18.9% Samaritians (Behar) @ 5.86
19 82.8% Portuguese (Dodecad) + 17.2% Stalskoe (Xing) @ 5.91
20 88.6% Portuguese (Dodecad) + 11.4% Lezgins (Behar) @ 5.91

Oracle 4

Population Percent

1 West_European 40.16
2 Mediterranean 35.09
3 West_Asian 7.64
4 Northwest_African 5.78
5 Southwest_Asian 5.76
6 East_European 3.55



Least-squares method

Using 1 population approximation:

1 Portuguese_Dodecad @ 10.814958
2 French_Dodecad @ 13.560691
3 French_HGDP @ 13.731678
4 N_Italian_Dodecad @ 14.539671
5 IBS_1000Genomes @ 14.561519
6 Spaniards_Behar @ 14.633574
7 Spanish_Dodecad @ 15.025139
8 Tuscan_Henn @ 15.303485
9 TSI_HapMap @ 15.906609
10 Tuscan_Xing @ 16.061499
11 North_Italian_HGDP @ 18.146383
12 French_Basque_HGDP @ 19.214725
13 CEU_HapMap @ 19.802877
14 O_Italian_Dodecad @ 20.235956
15 N._European_Xing @ 21.057741
16 Orcadian_HGDP @ 22.001986
17 Tuscan_HGDP @ 22.207386
18 Orkney_1000 Genomes @ 22.336266
19 Argyll_1000 Genomes @ 22.351999
20 Slovenian_Xing @ 23.169529

Using 2 populations approximation:

1 50% Sardinian_HGDP +50% N._European_Xing @ 6.728172


Using 3 populations approximation:

1 50% Portuguese_Dodecad +25% Sephardic_Jews_Behar +25% Swedish_Dodecad @ 2.967374


Using 4 populations approximation:

1 Morocco_Jews_Behar + Norwegian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad @ 1.443312
2 Morocco_Jews_Behar + Portuguese_Dodecad + Portuguese_Dodecad + Swedish_Dodecad @ 1.900160
3 IBS_1000Genomes + Morocco_Jews_Behar + Norwegian_Dodecad + Portuguese_Dodecad @ 1.937943
4 Morocco_Jews_Behar + Norwegian_Dodecad + Portuguese_Dodecad + Spanish_Dodecad @ 1.955511
5 Morocco_Jews_Behar + Portuguese_Dodecad + Spanish_Dodecad + Swedish_Dodecad @ 2.030257
6 IBS_1000Genomes + Morocco_Jews_Behar + Portuguese_Dodecad + Swedish_Dodecad @ 2.108091
7 Morocco_Jews_Behar + Portuguese_Dodecad + Spaniards_Behar + Swedish_Dodecad @ 2.293046
8 Morocco_Jews_Behar + Norwegian_Dodecad + Portuguese_Dodecad + Spaniards_Behar @ 2.338900
9 Norwegian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Sephardic_Jews_Behar @ 2.569779
10 Ashkenazi_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad @ 2.794247
11 Irish_Dodecad + Morocco_Jews_Behar + Portuguese_Dodecad + Portuguese_Dodecad @ 2.842701
12 Ashkenazy_Jews_Behar + British_Isles_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad @ 2.862998
13 British_Isles_Dodecad + Morocco_Jews_Behar + Portuguese_Dodecad + Portuguese_Dodecad @ 2.865069
14 Ashkenazy_Jews_Behar + Dutch_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad @ 2.882324
15 French_Dodecad + Kent_1000 Genomes + North_Italian_HGDP + Morocco_N_Henn @ 2.896740
16 Ashkenazy_Jews_Behar + British_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad @ 2.912045
17 Cornwall_1000 Genomes + French_Dodecad + North_Italian_HGDP + Morocco_N_Henn @ 2.932573
18 Ashkenazy_Jews_Behar + Kent_1000 Genomes + Portuguese_Dodecad + Portuguese_Dodecad @ 2.959298
19 Portuguese_Dodecad + Portuguese_Dodecad + Sephardic_Jews_Behar + Swedish_Dodecad @ 2.967374
20 British_Dodecad + French_Dodecad + North_Italian_HGDP + Morocco_N_Henn @ 2.967565

Best

NixYO
04-19-2019, 08:05 PM
My Dodecad V3 results (23andMe v5):

Oracle:
Admix Results (sorted):

# Population Percent
1 West_European 50.19
2 Mediterranean 21.58
3 East_European 18.63
4 West_Asian 6.23
5 Northeast_Asian 2.52
6 Southeast_Asian 0.84

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 4.17
2 Argyll (1000 Genomes) 8.7
3 N._European (Xing) 8.77
4 CEU (HapMap) 8.91
5 Orcadian (HGDP) 9.57
6 Orkney (1000 Genomes) 9.69
7 Slovenian (Xing) 10.9
8 Hungarians (Behar) 14.53
9 Mixed_Germanic (Dodecad) 15.38
10 Dutch (Dodecad) 16.72
11 Swedish (Dodecad) 17.12
12 French (Dodecad) 17.61
13 FIN (1000Genomes) 17.77
14 French (HGDP) 17.82
15 Kent (1000 Genomes) 18.59
16 Norwegian (Dodecad) 19.51
17 British_Isles (Dodecad) 19.82
18 British (Dodecad) 20.25
19 Cornwall (1000 Genomes) 21
20 Irish (Dodecad) 22.33

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.4% CEU (HapMap) + 19.6% Russian (HGDP) @ 1.81
2 79.2% Orcadian (HGDP) + 20.8% Russian (HGDP) @ 1.81
3 79.1% Orkney (1000 Genomes) + 20.9% Russian (HGDP) @ 2.07
4 92.2% German (Dodecad) + 7.8% Chuvashs_16 (Behar) @ 2.16
5 82% Orcadian (HGDP) + 18% Chuvashs_16 (Behar) @ 2.25
6 79.7% Argyll (1000 Genomes) + 20.3% Russian (Dodecad) @ 2.28
7 95% German (Dodecad) + 5% Yukagir (Rasmussen) @ 2.29
8 81% Argyll (1000 Genomes) + 19% Russian (HGDP) @ 2.3
9 59.3% French (HGDP) + 40.7% Finnish (Dodecad) @ 2.39
10 95.6% German (Dodecad) + 4.4% Dolgan (Rasmussen) @ 2.41
11 95.1% German (Dodecad) + 4.9% Selkup (Rasmussen) @ 2.42
12 81.9% Orkney (1000 Genomes) + 18.1% Chuvashs_16 (Behar) @ 2.43
13 96.5% German (Dodecad) + 3.5% Evenk_15 (Rasmussen) @ 2.5
14 96.3% German (Dodecad) + 3.7% Yakut (HGDP) @ 2.5
15 77.3% Argyll (1000 Genomes) + 22.7% Mixed_Slav (Dodecad) @ 2.53
16 75.2% Orkney (1000 Genomes) + 24.8% Mixed_Slav (Dodecad) @ 2.57
17 75.5% Orcadian (HGDP) + 24.5% Mixed_Slav (Dodecad) @ 2.62
18 96% German (Dodecad) + 4% Tuva (Rasmussen) @ 2.63
19 95.4% German (Dodecad) + 4.6% Altai (Rasmussen) @ 2.67
20 97.1% German (Dodecad) + 2.9% Nganassan_12 (Rasmussen) @ 2.67

Oracle 4:
Admix Results (sorted):

# Population Percent
1 West_European 50.19
2 Mediterranean 21.58
3 East_European 18.63
4 West_Asian 6.23
5 Northeast_Asian 2.52

--------------------------------

Least-squares method.

Using 1 population approximation:
1 German_Dodecad @ 4.278252
2 Argyll_1000 Genomes @ 9.499240
3 N._European_Xing @ 9.571209
4 CEU_HapMap @ 9.681562
5 Orcadian_HGDP @ 10.453221
6 Orkney_1000 Genomes @ 10.585065
7 Slovenian_Xing @ 12.072774
8 Hungarians_Behar @ 16.101194
9 Mixed_Germanic_Dodecad @ 16.945005
10 Dutch_Dodecad @ 18.429565
11 Swedish_Dodecad @ 18.979950
12 French_Dodecad @ 19.293936
13 FIN_1000Genomes @ 19.516718
14 French_HGDP @ 19.536781
15 Kent_1000 Genomes @ 20.517092
16 Norwegian_Dodecad @ 21.657734
17 British_Isles_Dodecad @ 21.904417
18 British_Dodecad @ 22.371170
19 Cornwall_1000 Genomes @ 23.203619
20 Irish_Dodecad @ 24.710894

Using 2 populations approximation:
1 50% Hungarians_Behar +50% Swedish_Dodecad @ 3.801434


Using 3 populations approximation:
1 50% FIN_1000Genomes +25% N_Italian_Dodecad +25% Orcadian_HGDP @ 1.643677


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++
1 FIN_1000Genomes + FIN_1000Genomes + N_Italian_Dodecad + Orcadian_HGDP @ 1.643677
2 FIN_1000Genomes + FIN_1000Genomes + N_Italian_Dodecad + Argyll_1000 Genomes @ 1.662919
3 FIN_1000Genomes + FIN_1000Genomes + N_Italian_Dodecad + Orkney_1000 Genomes @ 1.702291
4 Balkans_Dodecad + FIN_1000Genomes + Kent_1000 Genomes + Orkney_1000 Genomes @ 1.707088
5 Balkans_Dodecad + British_Isles_Dodecad + FIN_1000Genomes + Orcadian_HGDP @ 1.725554
6 Balkans_Dodecad + FIN_1000Genomes + Kent_1000 Genomes + Orcadian_HGDP @ 1.725927
7 Balkans_Dodecad + British_Isles_Dodecad + FIN_1000Genomes + Argyll_1000 Genomes @ 1.753066
8 Balkans_Dodecad + British_Isles_Dodecad + FIN_1000Genomes + Orkney_1000 Genomes @ 1.759209
9 CEU_HapMap + FIN_1000Genomes + FIN_1000Genomes + N_Italian_Dodecad @ 1.762025
10 Balkans_Dodecad + FIN_1000Genomes + Kent_1000 Genomes + Argyll_1000 Genomes @ 1.769425
11 Dutch_Dodecad + Finnish_Dodecad + French_HGDP + Hungarians_Behar @ 1.772923
12 CEU_HapMap + CEU_HapMap + FIN_1000Genomes + Hungarians_Behar @ 1.781348
13 Balkans_Dodecad + British_Isles_Dodecad + CEU_HapMap + FIN_1000Genomes @ 1.785175
14 FIN_1000Genomes + FIN_1000Genomes + North_Italian_HGDP + Argyll_1000 Genomes @ 1.789993
15 Balkans_Dodecad + British_Dodecad + FIN_1000Genomes + Argyll_1000 Genomes @ 1.806626
16 Balkans_Dodecad + British_Dodecad + FIN_1000Genomes + Orcadian_HGDP @ 1.810436
17 French_HGDP + German_Dodecad + Kent_1000 Genomes + Russian_HGDP @ 1.814071
18 CEU_HapMap + CEU_HapMap + FIN_1000Genomes + Slovenian_Xing @ 1.822673
19 Finnish_Dodecad + French_HGDP + Hungarians_Behar + Kent_1000 Genomes @ 1.826812
20 Balkans_Dodecad + Dutch_Dodecad + FIN_1000Genomes + Orkney_1000 Genomes @ 1.844454

Nino90
04-20-2019, 10:36 AM
My fathers FTDNA kit.
75% North Tuscan + 25% North Swedish(Saami)


Admix Results (sorted):

# Population Percent
1 West_European 39.04
2 Mediterranean 26.93
3 East_European 12.39
4 West_Asian 11.25
5 Northeast_Asian 3.83
6 Southwest_Asian 3.47
7 Northwest_African 1.95
8 Southeast_Asian 1.04
9 Palaeo_African 0.07
10 East_African 0.03

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 10.61
2 Hungarians (Behar) 13.93
3 CEU (HapMap) 14.72
4 German (Dodecad) 15.04
5 N._European (Xing) 15.13
6 Argyll (1000 Genomes) 16.26
7 French (HGDP) 16.4
8 Tuscan (Xing) 16.41
9 French (Dodecad) 16.44
10 Tuscan (Henn) 16.54
11 Orcadian (HGDP) 16.81
12 TSI (HapMap) 16.86
13 Orkney (1000 Genomes) 17.12
14 N_Italian (Dodecad) 18.66
15 Romanians_14 (Behar) 19.75
16 Balkans (Dodecad) 19.95
17 Portuguese (Dodecad) 20.58
18 Mixed_Germanic (Dodecad) 20.95
19 O_Italian (Dodecad) 21.8
20 Dutch (Dodecad) 22.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.5% Tuscan (Xing) + 35.5% FIN (1000Genomes) @ 2.84
2 63.9% TSI (HapMap) + 36.1% FIN (1000Genomes) @ 3.01
3 64.4% Tuscan (Henn) + 35.6% FIN (1000Genomes) @ 3.19
4 57.7% O_Italian (Dodecad) + 42.3% FIN (1000Genomes) @ 3.22
5 52.6% C_Italian (Dodecad) + 47.4% FIN (1000Genomes) @ 4.35
6 68.4% TSI (HapMap) + 31.6% Finnish (Dodecad) @ 4.63
7 54.6% Tuscan (HGDP) + 45.4% FIN (1000Genomes) @ 4.8
8 71.5% German (Dodecad) + 28.5% Sephardic_Jews (Behar) @ 4.8
9 62.2% German (Dodecad) + 37.8% Ashkenazy_Jews (Behar) @ 4.88
10 68.9% Tuscan (Henn) + 31.1% Finnish (Dodecad) @ 4.93
11 63.7% German (Dodecad) + 36.3% Ashkenazi (Dodecad) @ 4.95
12 68.4% German (Dodecad) + 31.6% Morocco_Jews (Behar) @ 5.13
13 69.6% German (Dodecad) + 30.4% Sicilian (Dodecad) @ 5.16
14 68.7% German (Dodecad) + 31.3% S_Italian_Sicilian (Dodecad) @ 5.25
15 70.8% German (Dodecad) + 29.2% S_Italian (Dodecad) @ 5.28
16 60.1% Romanians_14 (Behar) + 39.9% Irish (Dodecad) @ 5.37
17 76% German (Dodecad) + 24% Cypriots (Behar) @ 5.37
18 58% Romanians_14 (Behar) + 42% Cornwall (1000 Genomes) @ 5.39
19 57.6% Romanians_14 (Behar) + 42.4% British (Dodecad) @ 5.39
20 52.3% Swedish (Dodecad) + 47.7% Greek (Dodecad) @ 5.44

JerryS.
04-20-2019, 12:24 PM
My fathers FTDNA kit.
75% North Tuscan + 25% North Swedish(Saami)


Admix Results (sorted):

# Population Percent
1 West_European 39.04
2 Mediterranean 26.93
3 East_European 12.39
4 West_Asian 11.25
5 Northeast_Asian 3.83
6 Southwest_Asian 3.47
7 Northwest_African 1.95
8 Southeast_Asian 1.04
9 Palaeo_African 0.07
10 East_African 0.03

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 10.61
2 Hungarians (Behar) 13.93
3 CEU (HapMap) 14.72
4 German (Dodecad) 15.04
5 N._European (Xing) 15.13
6 Argyll (1000 Genomes) 16.26
7 French (HGDP) 16.4
8 Tuscan (Xing) 16.41
9 French (Dodecad) 16.44
10 Tuscan (Henn) 16.54
11 Orcadian (HGDP) 16.81
12 TSI (HapMap) 16.86
13 Orkney (1000 Genomes) 17.12
14 N_Italian (Dodecad) 18.66
15 Romanians_14 (Behar) 19.75
16 Balkans (Dodecad) 19.95
17 Portuguese (Dodecad) 20.58
18 Mixed_Germanic (Dodecad) 20.95
19 O_Italian (Dodecad) 21.8
20 Dutch (Dodecad) 22.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.5% Tuscan (Xing) + 35.5% FIN (1000Genomes) @ 2.84
2 63.9% TSI (HapMap) + 36.1% FIN (1000Genomes) @ 3.01
3 64.4% Tuscan (Henn) + 35.6% FIN (1000Genomes) @ 3.19
4 57.7% O_Italian (Dodecad) + 42.3% FIN (1000Genomes) @ 3.22
5 52.6% C_Italian (Dodecad) + 47.4% FIN (1000Genomes) @ 4.35
6 68.4% TSI (HapMap) + 31.6% Finnish (Dodecad) @ 4.63
7 54.6% Tuscan (HGDP) + 45.4% FIN (1000Genomes) @ 4.8
8 71.5% German (Dodecad) + 28.5% Sephardic_Jews (Behar) @ 4.8
9 62.2% German (Dodecad) + 37.8% Ashkenazy_Jews (Behar) @ 4.88
10 68.9% Tuscan (Henn) + 31.1% Finnish (Dodecad) @ 4.93
11 63.7% German (Dodecad) + 36.3% Ashkenazi (Dodecad) @ 4.95
12 68.4% German (Dodecad) + 31.6% Morocco_Jews (Behar) @ 5.13
13 69.6% German (Dodecad) + 30.4% Sicilian (Dodecad) @ 5.16
14 68.7% German (Dodecad) + 31.3% S_Italian_Sicilian (Dodecad) @ 5.25
15 70.8% German (Dodecad) + 29.2% S_Italian (Dodecad) @ 5.28
16 60.1% Romanians_14 (Behar) + 39.9% Irish (Dodecad) @ 5.37
17 76% German (Dodecad) + 24% Cypriots (Behar) @ 5.37
18 58% Romanians_14 (Behar) + 42% Cornwall (1000 Genomes) @ 5.39
19 57.6% Romanians_14 (Behar) + 42.4% British (Dodecad) @ 5.39
20 52.3% Swedish (Dodecad) + 47.7% Greek (Dodecad) @ 5.44

how does yours read?

Nino90
04-20-2019, 12:35 PM
how does yours read?


# Population Percent
1 West_European 48.53
2 Mediterranean 25.67
3 East_European 13.17
4 West_Asian 6.14
5 Northeast_Asian 2.48
6 Southwest_Asian 1.56
7 South_Asian 1.48
8 Palaeo_African 0.43
9 Neo_African 0.26
10 Southeast_Asian 0.16
11 Northwest_African 0.12

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 5.94
2 German (Dodecad) 6.66
3 N._European (Xing) 6.74
4 Argyll (1000 Genomes) 7.45
5 Orcadian (HGDP) 7.78
6 Orkney (1000 Genomes) 8.03
7 French (Dodecad) 11.79
8 French (HGDP) 12.05
9 Slovenian (Xing) 12.24
10 Mixed_Germanic (Dodecad) 13.56
11 Dutch (Dodecad) 14.47
12 Hungarians (Behar) 16.14
13 Kent (1000 Genomes) 16.58
14 British_Isles (Dodecad) 18.21
15 British (Dodecad) 18.36
16 Cornwall (1000 Genomes) 19.02
17 Swedish (Dodecad) 19.43
18 Norwegian (Dodecad) 20.76
19 Irish (Dodecad) 21.05
20 French_Basque (HGDP) 22.37

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.6% French (HGDP) + 22.4% Russian (HGDP) @ 2.62
2 73.2% French (HGDP) + 26.8% Finnish (Dodecad) @ 3.08
3 79.6% German (Dodecad) + 20.4% Portuguese (Dodecad) @ 3.51
4 85.8% German (Dodecad) + 14.2% Sardinian (HGDP) @ 3.51
5 84.6% CEU (HapMap) + 15.4% Balkans (Dodecad) @ 3.54
6 76.8% CEU (HapMap) + 23.2% Hungarians (Behar) @ 3.55
7 81.3% German (Dodecad) + 18.7% IBS (1000Genomes) @ 3.56
8 71.1% CEU (HapMap) + 28.9% Slovenian (Xing) @ 3.58
9 83.2% German (Dodecad) + 16.8% North_Italian (HGDP) @ 3.61
10 80.9% German (Dodecad) + 19.1% N_Italian (Dodecad) @ 3.64
11 90.8% CEU (HapMap) + 9.2% Chuvashs_16 (Behar) @ 3.65
12 81.4% German (Dodecad) + 18.6% Spanish (Dodecad) @ 3.66
13 82.2% N._European (Xing) + 17.8% Balkans (Dodecad) @ 3.67
14 85.4% CEU (HapMap) + 14.6% Romanians_14 (Behar) @ 3.67
15 79.3% Orkney (1000 Genomes) + 20.7% Romanians_14 (Behar) @ 3.68
16 80.1% French (HGDP) + 19.9% Chuvashs_16 (Behar) @ 3.7
17 81% German (Dodecad) + 19% Spaniards (Behar) @ 3.72
18 78.6% Orkney (1000 Genomes) + 21.4% Balkans (Dodecad) @ 3.73
19 85.1% German (Dodecad) + 14.9% Tuscan (HGDP) @ 3.75
20 83% N._European (Xing) + 17% Romanians_14 (Behar) @ 3.75

Very bad.

digital_noise
04-20-2019, 04:26 PM
My fathers FTDNA kit.
75% North Tuscan + 25% North Swedish(Saami)


Admix Results (sorted):

# Population Percent
1 West_European 39.04
2 Mediterranean 26.93
3 East_European 12.39
4 West_Asian 11.25
5 Northeast_Asian 3.83
6 Southwest_Asian 3.47
7 Northwest_African 1.95
8 Southeast_Asian 1.04
9 Palaeo_African 0.07
10 East_African 0.03

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 10.61
2 Hungarians (Behar) 13.93
3 CEU (HapMap) 14.72
4 German (Dodecad) 15.04
5 N._European (Xing) 15.13
6 Argyll (1000 Genomes) 16.26
7 French (HGDP) 16.4
8 Tuscan (Xing) 16.41
9 French (Dodecad) 16.44
10 Tuscan (Henn) 16.54
11 Orcadian (HGDP) 16.81
12 TSI (HapMap) 16.86
13 Orkney (1000 Genomes) 17.12
14 N_Italian (Dodecad) 18.66
15 Romanians_14 (Behar) 19.75
16 Balkans (Dodecad) 19.95
17 Portuguese (Dodecad) 20.58
18 Mixed_Germanic (Dodecad) 20.95
19 O_Italian (Dodecad) 21.8
20 Dutch (Dodecad) 22.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.5% Tuscan (Xing) + 35.5% FIN (1000Genomes) @ 2.84
2 63.9% TSI (HapMap) + 36.1% FIN (1000Genomes) @ 3.01
3 64.4% Tuscan (Henn) + 35.6% FIN (1000Genomes) @ 3.19
4 57.7% O_Italian (Dodecad) + 42.3% FIN (1000Genomes) @ 3.22
5 52.6% C_Italian (Dodecad) + 47.4% FIN (1000Genomes) @ 4.35
6 68.4% TSI (HapMap) + 31.6% Finnish (Dodecad) @ 4.63
7 54.6% Tuscan (HGDP) + 45.4% FIN (1000Genomes) @ 4.8
8 71.5% German (Dodecad) + 28.5% Sephardic_Jews (Behar) @ 4.8
9 62.2% German (Dodecad) + 37.8% Ashkenazy_Jews (Behar) @ 4.88
10 68.9% Tuscan (Henn) + 31.1% Finnish (Dodecad) @ 4.93
11 63.7% German (Dodecad) + 36.3% Ashkenazi (Dodecad) @ 4.95
12 68.4% German (Dodecad) + 31.6% Morocco_Jews (Behar) @ 5.13
13 69.6% German (Dodecad) + 30.4% Sicilian (Dodecad) @ 5.16
14 68.7% German (Dodecad) + 31.3% S_Italian_Sicilian (Dodecad) @ 5.25
15 70.8% German (Dodecad) + 29.2% S_Italian (Dodecad) @ 5.28
16 60.1% Romanians_14 (Behar) + 39.9% Irish (Dodecad) @ 5.37
17 76% German (Dodecad) + 24% Cypriots (Behar) @ 5.37
18 58% Romanians_14 (Behar) + 42% Cornwall (1000 Genomes) @ 5.39
19 57.6% Romanians_14 (Behar) + 42.4% British (Dodecad) @ 5.39
20 52.3% Swedish (Dodecad) + 47.7% Greek (Dodecad) @ 5.44

Your dad and my kit are almost identical, give or take a couple %'s here and there

Admix Results (sorted):

# Population Percent
1 West_European 41.24
2 Mediterranean 27.92
3 East_European 14.3
4 West_Asian 11.26
5 Southwest_Asian 3.3
6 East_African 1.36
7 South_Asian 0.49
8 Northwest_African 0.12

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 8.71
2 Hungarians (Behar) 12.37
3 CEU (HapMap) 12.63
4 German (Dodecad) 12.64
5 N._European (Xing) 13.36
6 Argyll (1000 Genomes) 14.31
7 Orcadian (HGDP) 14.77
8 French (Dodecad) 15.03
9 French (HGDP) 15.12
10 Orkney (1000 Genomes) 15.13
11 Tuscan (Henn) 17.46
12 Tuscan (Xing) 17.51
13 TSI (HapMap) 17.74
14 N_Italian (Dodecad) 18.64
15 Mixed_Germanic (Dodecad) 19.53
16 Balkans (Dodecad) 19.59
17 Romanians_14 (Behar) 19.94
18 Portuguese (Dodecad) 20.85
19 Dutch (Dodecad) 20.93
20 O_Italian (Dodecad) 22.71

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73% German (Dodecad) + 27% Sicilian (Dodecad) @ 1.71
2 74% German (Dodecad) + 26% S_Italian (Dodecad) @ 1.76
3 71.6% German (Dodecad) + 28.4% Greek (Dodecad) @ 1.88
4 72.2% German (Dodecad) + 27.8% S_Italian_Sicilian (Dodecad) @ 1.94
5 58.3% Romanians_14 (Behar) + 41.7% Irish (Dodecad) @ 1.99
6 51.2% Romanians_14 (Behar) + 48.8% Dutch (Dodecad) @ 2.07
7 55.6% Romanians_14 (Behar) + 44.4% British_Isles (Dodecad) @ 2.07
8 55.7% Romanians_14 (Behar) + 44.3% British (Dodecad) @ 2.09
9 75.1% German (Dodecad) + 24.9% Sephardic_Jews (Behar) @ 2.23
10 56.2% Romanians_14 (Behar) + 43.8% Cornwall (1000 Genomes) @ 2.25
11 60.1% N._European (Xing) + 39.9% Romanians_14 (Behar) @ 2.26
12 53.7% Romanians_14 (Behar) + 46.3% Kent (1000 Genomes) @ 2.27
13 50.5% Mixed_Germanic (Dodecad) + 49.5% Romanians_14 (Behar) @ 2.37
14 78.8% German (Dodecad) + 21.2% Cypriots (Behar) @ 2.46
15 69% German (Dodecad) + 31% C_Italian (Dodecad) @ 2.53
16 61.6% CEU (HapMap) + 38.4% Romanians_14 (Behar) @ 2.76
17 57.1% Orkney (1000 Genomes) + 42.9% Romanians_14 (Behar) @ 3.03
18 57.7% Orcadian (HGDP) + 42.3% Romanians_14 (Behar) @ 3.08
19 58.5% Argyll (1000 Genomes) + 41.5% Romanians_14 (Behar) @ 3.15
20 58.5% German (Dodecad) + 41.5% Tuscan (Xing) @ 3.16

Nino90
04-20-2019, 05:18 PM
Your dad and my kit are almost identical, give or take a couple %'s here and there

Admix Results (sorted):

# Population Percent
1 West_European 41.24
2 Mediterranean 27.92
3 East_European 14.3
4 West_Asian 11.26
5 Southwest_Asian 3.3
6 East_African 1.36
7 South_Asian 0.49
8 Northwest_African 0.12

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 8.71
2 Hungarians (Behar) 12.37
3 CEU (HapMap) 12.63
4 German (Dodecad) 12.64
5 N._European (Xing) 13.36
6 Argyll (1000 Genomes) 14.31
7 Orcadian (HGDP) 14.77
8 French (Dodecad) 15.03
9 French (HGDP) 15.12
10 Orkney (1000 Genomes) 15.13
11 Tuscan (Henn) 17.46
12 Tuscan (Xing) 17.51
13 TSI (HapMap) 17.74
14 N_Italian (Dodecad) 18.64
15 Mixed_Germanic (Dodecad) 19.53
16 Balkans (Dodecad) 19.59
17 Romanians_14 (Behar) 19.94
18 Portuguese (Dodecad) 20.85
19 Dutch (Dodecad) 20.93
20 O_Italian (Dodecad) 22.71

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73% German (Dodecad) + 27% Sicilian (Dodecad) @ 1.71
2 74% German (Dodecad) + 26% S_Italian (Dodecad) @ 1.76
3 71.6% German (Dodecad) + 28.4% Greek (Dodecad) @ 1.88
4 72.2% German (Dodecad) + 27.8% S_Italian_Sicilian (Dodecad) @ 1.94
5 58.3% Romanians_14 (Behar) + 41.7% Irish (Dodecad) @ 1.99
6 51.2% Romanians_14 (Behar) + 48.8% Dutch (Dodecad) @ 2.07
7 55.6% Romanians_14 (Behar) + 44.4% British_Isles (Dodecad) @ 2.07
8 55.7% Romanians_14 (Behar) + 44.3% British (Dodecad) @ 2.09
9 75.1% German (Dodecad) + 24.9% Sephardic_Jews (Behar) @ 2.23
10 56.2% Romanians_14 (Behar) + 43.8% Cornwall (1000 Genomes) @ 2.25
11 60.1% N._European (Xing) + 39.9% Romanians_14 (Behar) @ 2.26
12 53.7% Romanians_14 (Behar) + 46.3% Kent (1000 Genomes) @ 2.27
13 50.5% Mixed_Germanic (Dodecad) + 49.5% Romanians_14 (Behar) @ 2.37
14 78.8% German (Dodecad) + 21.2% Cypriots (Behar) @ 2.46
15 69% German (Dodecad) + 31% C_Italian (Dodecad) @ 2.53
16 61.6% CEU (HapMap) + 38.4% Romanians_14 (Behar) @ 2.76
17 57.1% Orkney (1000 Genomes) + 42.9% Romanians_14 (Behar) @ 3.03
18 57.7% Orcadian (HGDP) + 42.3% Romanians_14 (Behar) @ 3.08
19 58.5% Argyll (1000 Genomes) + 41.5% Romanians_14 (Behar) @ 3.15
20 58.5% German (Dodecad) + 41.5% Tuscan (Xing) @ 3.16


Yeah quite similar. You lack the North asian tho'

Kulin
04-20-2019, 06:15 PM
Admix Results (sorted):

# Population Percent
1 South_Asian 51.79
2 Southeast_Asian 16.28
3 West_European 7.39
4 East_European 6.93
5 West_Asian 5.99
6 Mediterranean 4.33
7 Northeast_Asian 3.08
8 Southwest_Asian 2.81
9 Neo_African 0.69
10 East_African 0.42
11 Palaeo_African 0.29

Single Population Sharing:

# Population (source) Distance
1 Tharu (Reich) 9.4
2 Satnami (Reich) 11.09
3 Srivastava (Reich) 12.19
4 Sahariya (Reich) 12.4
5 Vaish (Reich) 13.31
6 Lodi (Reich) 13.59
7 AP_Brahmin (Xing) 13.76
8 Meghawal (Reich) 14.32
9 Cochin_Jews (Behar) 14.33
10 TN_Brahmin (Xing) 14.97
11 Hallaki (Reich) 16.17
12 Nepalese (Xing) 16.64
13 INS (SGVP) 16.95
14 Kurumba (Reich) 17.34
15 Naidu (Reich) 17.43
16 Kamsali (Reich) 17.46
17 Indian (Dodecad) 17.71
18 Bhil (Reich) 17.77
19 Santhal (Reich) 17.89
20 Velama (Reich) 18.02

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.4% Vaish (Reich) + 37.6% Kharia (Reich) @ 3.57
2 68.6% Sahariya (Reich) + 31.4% Pathan (HGDP) @ 3.6
3 84.4% Satnami (Reich) + 15.6% Stalskoe (Xing) @ 3.92
4 64.4% Sahariya (Reich) + 35.6% Pakistani (Xing) @ 4
5 51.7% Nepalese (Xing) + 48.3% Bhil (Reich) @ 4.08
6 85.5% Lodi (Reich) + 14.5% Tu (HGDP) @ 4.14
7 63.8% Sahariya (Reich) + 36.2% Kashmiri_Pandit (Reich) @ 4.2
8 85.4% Lodi (Reich) + 14.6% Xibo (HGDP) @ 4.22
9 63.4% Sahariya (Reich) + 36.6% Burusho (HGDP) @ 4.34
10 84% AP_Brahmin (Xing) + 16% Thai (Xing) @ 4.35
11 52% Sahariya (Reich) + 48% Vaish (Reich) @ 4.38
12 85.8% AP_Brahmin (Xing) + 14.2% Cambodians (HGDP) @ 4.42
13 55.5% Lodi (Reich) + 44.5% Nepalese (Xing) @ 4.42
14 90.2% Tharu (Reich) + 9.8% Tu (HGDP) @ 4.45
15 65.3% Sahariya (Reich) + 34.7% Sindhi (HGDP) @ 4.48
16 53.6% Nepalese (Xing) + 46.4% Chenchu (Reich) @ 4.5
17 86.5% Lodi (Reich) + 13.5% Korean (Dodecad) @ 4.51
18 85.6% AP_Brahmin (Xing) + 14.4% Khmer_Cambodian (Xing) @ 4.52
19 85.7% Lodi (Reich) + 14.3% Nysha (Reich) @ 4.53
20 86.3% Lodi (Reich) + 13.7% Aonaga (Reich) @ 4.54

JerryS.
04-21-2019, 11:53 AM
# Population Percent
1 West_European 48.53
2 Mediterranean 25.67
3 East_European 13.17
4 West_Asian 6.14
5 Northeast_Asian 2.48
6 Southwest_Asian 1.56
7 South_Asian 1.48
8 Palaeo_African 0.43
9 Neo_African 0.26
10 Southeast_Asian 0.16
11 Northwest_African 0.12

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 5.94
2 German (Dodecad) 6.66
3 N._European (Xing) 6.74
4 Argyll (1000 Genomes) 7.45
5 Orcadian (HGDP) 7.78
6 Orkney (1000 Genomes) 8.03
7 French (Dodecad) 11.79
8 French (HGDP) 12.05
9 Slovenian (Xing) 12.24
10 Mixed_Germanic (Dodecad) 13.56
11 Dutch (Dodecad) 14.47
12 Hungarians (Behar) 16.14
13 Kent (1000 Genomes) 16.58
14 British_Isles (Dodecad) 18.21
15 British (Dodecad) 18.36
16 Cornwall (1000 Genomes) 19.02
17 Swedish (Dodecad) 19.43
18 Norwegian (Dodecad) 20.76
19 Irish (Dodecad) 21.05
20 French_Basque (HGDP) 22.37

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.6% French (HGDP) + 22.4% Russian (HGDP) @ 2.62
2 73.2% French (HGDP) + 26.8% Finnish (Dodecad) @ 3.08
3 79.6% German (Dodecad) + 20.4% Portuguese (Dodecad) @ 3.51
4 85.8% German (Dodecad) + 14.2% Sardinian (HGDP) @ 3.51
5 84.6% CEU (HapMap) + 15.4% Balkans (Dodecad) @ 3.54
6 76.8% CEU (HapMap) + 23.2% Hungarians (Behar) @ 3.55
7 81.3% German (Dodecad) + 18.7% IBS (1000Genomes) @ 3.56
8 71.1% CEU (HapMap) + 28.9% Slovenian (Xing) @ 3.58
9 83.2% German (Dodecad) + 16.8% North_Italian (HGDP) @ 3.61
10 80.9% German (Dodecad) + 19.1% N_Italian (Dodecad) @ 3.64
11 90.8% CEU (HapMap) + 9.2% Chuvashs_16 (Behar) @ 3.65
12 81.4% German (Dodecad) + 18.6% Spanish (Dodecad) @ 3.66
13 82.2% N._European (Xing) + 17.8% Balkans (Dodecad) @ 3.67
14 85.4% CEU (HapMap) + 14.6% Romanians_14 (Behar) @ 3.67
15 79.3% Orkney (1000 Genomes) + 20.7% Romanians_14 (Behar) @ 3.68
16 80.1% French (HGDP) + 19.9% Chuvashs_16 (Behar) @ 3.7
17 81% German (Dodecad) + 19% Spaniards (Behar) @ 3.72
18 78.6% Orkney (1000 Genomes) + 21.4% Balkans (Dodecad) @ 3.73
19 85.1% German (Dodecad) + 14.9% Tuscan (HGDP) @ 3.75
20 83% N._European (Xing) + 17% Romanians_14 (Behar) @ 3.75

Very bad.

yikes! that is bad. I guess 1/4 north Italian is difficult to pick up? this calculator usually is pretty good for any of the Mediterranean groups, even minor percentages.

Nino90
04-21-2019, 01:09 PM
yikes! that is bad. I guess 1/4 north Italian is difficult to pick up? this calculator usually is pretty good for any of the Mediterranean groups, even minor percentages.

Yeah. I need to order a test for my half italian grandmother soon.

JerryS.
04-21-2019, 06:45 PM
Yeah. I need to order a test for my half italian grandmother soon.

she would be more than half right? I mean your dad is half, you are one quarter so she must be full. yes?

Nino90
04-21-2019, 07:13 PM
she would be more than half right? I mean your dad is half, you are one quarter so she must be full. yes?

In most calculators it looks like I am quarter. But not just my grandfather was Italian, My grandmothers father was Italian also.
So I score around 30-40+% percent in other calculators + nMonte runs.

Eurogenes K13 is much more accurate for me and my father, It does not have saami reference therefor the Chuvash,Tatar and Mari.
And It is not news that the Italian ancestry looks Iberian:

My fathers:

1 69.6% Spanish_Cataluna + 30.4% Tatar @ 2.18
2 75.8% Spanish_Cataluna + 24.2% Chuvash @ 2.62
3 66.4% Spanish_Valencia + 33.6% Tatar @ 3.1
4 68.2% Spanish_Castilla_Y_Leon + 31.8% Tatar @ 3.18
5 70.7% Portuguese + 29.3% Tatar @ 3.39
6 67.2% Spanish_Murcia + 32.8% Tatar @ 3.53
7 78% Spanish_Cataluna + 22% Mari @ 3.56


Mine :

1 63.1% Swedish + 36.9% Spanish_Andalucia @ 2.93
2 97.9% South_Dutch + 2.1% Evens @ 2.93
3 97.7% South_Dutch + 2.3% Dolgan @ 2.94
4 97.9% South_Dutch + 2.1% Evenki @ 2.95
5 60.4% Swedish + 39.6% Spanish_Murcia @ 2.99
6 97.8% South_Dutch + 2.2% Yakut @ 2.99
7 97.8% South_Dutch + 2.2% Koryak @ 3.02
8 60.9% Swedish + 39.1% Spanish_Castilla_La_Mancha @ 3.02
9 54.9% North_Swedish + 45.1% Spanish_Aragon @ 3.03

JerryS.
04-21-2019, 07:21 PM
In most calculators it looks like I am quarter. But not just my grandfather was Italian, My grandmothers father was Italian also.
So I score around 30-40+% percent in other calculators + nMonte runs.

Eurogenes K13 is much more accurate for me and my father, It does not have saami reference therefor the Chuvash,Tatar and Mari.
And It is not news that the Italian ancestry looks Iberian:

My fathers:

1 69.6% Spanish_Cataluna + 30.4% Tatar @ 2.18
2 75.8% Spanish_Cataluna + 24.2% Chuvash @ 2.62
3 66.4% Spanish_Valencia + 33.6% Tatar @ 3.1
4 68.2% Spanish_Castilla_Y_Leon + 31.8% Tatar @ 3.18
5 70.7% Portuguese + 29.3% Tatar @ 3.39
6 67.2% Spanish_Murcia + 32.8% Tatar @ 3.53
7 78% Spanish_Cataluna + 22% Mari @ 3.56


Mine :

1 63.1% Swedish + 36.9% Spanish_Andalucia @ 2.93
2 97.9% South_Dutch + 2.1% Evens @ 2.93
3 97.7% South_Dutch + 2.3% Dolgan @ 2.94
4 97.9% South_Dutch + 2.1% Evenki @ 2.95
5 60.4% Swedish + 39.6% Spanish_Murcia @ 2.99
6 97.8% South_Dutch + 2.2% Yakut @ 2.99
7 97.8% South_Dutch + 2.2% Koryak @ 3.02
8 60.9% Swedish + 39.1% Spanish_Castilla_La_Mancha @ 3.02
9 54.9% North_Swedish + 45.1% Spanish_Aragon @ 3.03

this calculator (eurogenes) doesn't work well for me. I wonder how much of this has to do with the way it is passed down (inherited) via X or Y chromosomes. my (3/4 Italian) grandmother passed her mostly Italian X to my father and uncle. my father passed his English Y to me while his brother (my uncle) passed his recombined English/Italian X to his daughter (my 1st cousin). she and I had similar ancestry results but they are registered differently with Gedmatch. her mom is Norwegian and Irish, mine is North German and Scottish.

with the Dodecad V3 her Mediterranean admixture is all over the place while mine is fairly consistent.

Nino90
04-23-2019, 09:32 PM
this calculator (eurogenes) doesn't work well for me. I wonder how much of this has to do with the way it is passed down (inherited) via X or Y chromosomes. my (3/4 Italian) grandmother passed her mostly Italian X to my father and uncle. my father passed his English Y to me while his brother (my uncle) passed his recombined English/Italian X to his daughter (my 1st cousin). she and I had similar ancestry results but they are registered differently with Gedmatch. her mom is Norwegian and Irish, mine is North German and Scottish.

with the Dodecad V3 her Mediterranean admixture is all over the place while mine is fairly consistent.

Does that really affect the AUTOSOMAL DNA?

JerryS.
04-23-2019, 10:53 PM
Does that really affect the AUTOSOMAL DNA?

I'm not sure. while you inherit about 50/50 from your parents, you don't necessarily inherit a 50/50 split of what each one has.

digital_noise
04-24-2019, 09:00 PM
this calculator (eurogenes) doesn't work well for me. I wonder how much of this has to do with the way it is passed down (inherited) via X or Y chromosomes. my (3/4 Italian) grandmother passed her mostly Italian X to my father and uncle. my father passed his English Y to me while his brother (my uncle) passed his recombined English/Italian X to his daughter (my 1st cousin). she and I had similar ancestry results but they are registered differently with Gedmatch. her mom is Norwegian and Irish, mine is North German and Scottish.

with the Dodecad V3 her Mediterranean admixture is all over the place while mine is fairly consistent.

what is it about the K13 that "doesnt work well"? I find it to be the best one on GedMatch personally, along with all the kits I manage.

JerryS.
04-25-2019, 02:55 PM
what is it about the K13 that "doesnt work well"? I find it to be the best one on GedMatch personally, along with all the kits I manage. doesn't work well for ME was what I said.

I should say it doesn't work as well as say mdlp k23 or dodecad v3 for me. like Nino90, it gives me some weird secondary groups like 19.4% Greek_Thessaly, or 21% Spanish_Andalucia, or even 9.8% Kabardin???

digital_noise
04-25-2019, 03:35 PM
But you are referring to the oracle portion though yea? I have found the calculator part to be very good at regional breakdowns, especially for European's. Even my wife's family and my daughter who are West Asian and half west asian get great results. And anyways, doing the standard oracle will always give weird results if you dont fit that mold perfectly.

JerryS.
04-25-2019, 07:17 PM
But you are referring to the oracle portion though yea? I have found the calculator part to be very good at regional breakdowns, especially for European's. Even my wife's family and my daughter who are West Asian and half west asian get great results. And anyways, doing the standard oracle will always give weird results if you dont fit that mold perfectly.


ok, yes, I understand that what you mean now.

passenger
06-10-2019, 02:30 AM
Father = English (50%), Dutch (25%), Danish (12.5%), German (8%) + some Irish, Scottish and French
Mother = Russian Jewish (75%) + Turkish Jewish (25%)

Admix Results (sorted):

# Population Percent
1 West_European 36.65
2 Mediterranean 29.52
3 West_Asian 13.62
4 Southwest_Asian 8.25
5 East_European 8.07
6 Northwest_African 1.74
7 East_African 1.18
8 Neo_African 0.52
9 Northeast_Asian 0.45

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Henn) 10.49
2 Tuscan (Xing) 10.69
3 TSI (HapMap) 11.06
4 N_Italian (Dodecad) 15.27
5 Slovenian (Xing) 15.9
6 O_Italian (Dodecad) 16.62
7 French (HGDP) 16.98
8 French (Dodecad) 17.21
9 CEU (HapMap) 18.38
10 Ashkenazy_Jews (Behar) 18.45
11 Portuguese (Dodecad) 18.64
12 N._European (Xing) 18.7
13 Hungarians (Behar) 18.91
14 Ashkenazi (Dodecad) 19.84
15 German (Dodecad) 19.87
16 Romanians_14 (Behar) 20.07
17 North_Italian (HGDP) 20.14
18 Argyll (1000 Genomes) 20.2
19 Tuscan (HGDP) 20.31
20 Orcadian (HGDP) 20.52

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 51% Sephardic_Jews (Behar) + 49% Swedish (Dodecad) @ 1.33
2 62.3% N._European (Xing) + 37.7% Sephardic_Jews (Behar) @ 2.09
3 58% CEU (HapMap) + 42% Morocco_Jews (Behar) @ 2.17
4 55.2% Orcadian (HGDP) + 44.8% Morocco_Jews (Behar) @ 2.43
5 51.8% Sephardic_Jews (Behar) + 48.2% Norwegian (Dodecad) @ 2.48
6 54.9% Orkney (1000 Genomes) + 45.1% Morocco_Jews (Behar) @ 2.48
7 57.6% N._European (Xing) + 42.4% Morocco_Jews (Behar) @ 2.55
8 50.1% CEU (HapMap) + 49.9% Ashkenazy_Jews (Behar) @ 2.55
9 55.6% Argyll (1000 Genomes) + 44.4% Morocco_Jews (Behar) @ 2.58
10 51.9% CEU (HapMap) + 48.1% Ashkenazi (Dodecad) @ 2.63
11 51.5% N._European (Xing) + 48.5% Ashkenazi (Dodecad) @ 2.68
12 56% German (Dodecad) + 44% Morocco_Jews (Behar) @ 2.74
13 53.1% Ashkenazy_Jews (Behar) + 46.9% Orkney (1000 Genomes) @ 2.74
14 52.7% Ashkenazy_Jews (Behar) + 47.3% Orcadian (HGDP) @ 2.77
15 50.3% Ashkenazy_Jews (Behar) + 49.7% N._European (Xing) @ 2.77
16 51.2% Ashkenazi (Dodecad) + 48.8% Orkney (1000 Genomes) @ 2.82
17 50.9% Ashkenazi (Dodecad) + 49.1% Orcadian (HGDP) @ 2.87
18 69.1% CEU (HapMap) + 30.9% Samaritians (Behar) @ 3
19 55.2% S_Italian_Sicilian (Dodecad) + 44.8% Swedish (Dodecad) @ 3.08
20 50.5% Ashkenazi (Dodecad) + 49.5% Argyll (1000 Genomes) @ 3.09

adamg
06-12-2019, 05:16 PM
Admix Results (sorted):

# Population Percent
1 West_European 44.24
2 East_European 24.08
3 Mediterranean 23.01
4 West_Asian 6.54
5 Southwest_Asian 1.84
6 Southeast_Asian 0.29

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 5.16
2 Hungarians (Behar) 7.42
3 German (Dodecad) 10.02
4 CEU (HapMap) 14.81
5 N._European (Xing) 15.08
6 Argyll (1000 Genomes) 15.35
7 Orcadian (HGDP) 16.06
8 Orkney (1000 Genomes) 16.27
9 FIN (1000Genomes) 19.63
10 Balkans (Dodecad) 20.03
11 Polish (Dodecad) 21.32
12 French (Dodecad) 21.45
13 French (HGDP) 21.99
14 Mixed_Slav (Dodecad) 22.08
15 Mixed_Germanic (Dodecad) 22.11
16 Romanians_14 (Behar) 23.34
17 Dutch (Dodecad) 23.53
18 Swedish (Dodecad) 23.68
19 Finnish (Dodecad) 24.85
20 Kent (1000 Genomes) 25.52

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.5% Hungarians (Behar) + 23.5% Swedish (Dodecad) @ 1.53
2 78.6% Hungarians (Behar) + 21.4% Norwegian (Dodecad) @ 1.79
3 64.3% French (HGDP) + 35.7% Lithuanian (Dodecad) @ 1.92
4 62.7% French (HGDP) + 37.3% Lithuanians (Behar) @ 2.09
5 60% CEU (HapMap) + 40% Mixed_Slav (Dodecad) @ 2.14
6 69.3% CEU (HapMap) + 30.7% Belorussian (Behar) @ 2.22
7 58% Hungarians (Behar) + 42% German (Dodecad) @ 2.24
8 59.2% CEU (HapMap) + 40.8% Polish (Dodecad) @ 2.32
9 55.6% French (HGDP) + 44.4% Russian (Dodecad) @ 2.41
10 50.1% French (HGDP) + 49.9% Mixed_Slav (Dodecad) @ 2.51
11 50.8% Polish (Dodecad) + 49.2% French (HGDP) @ 2.74
12 58.8% N._European (Xing) + 41.2% Polish (Dodecad) @ 3.09
13 81.4% Hungarians (Behar) + 18.6% Irish (Dodecad) @ 3.2
14 58.1% Orcadian (HGDP) + 41.9% Mixed_Slav (Dodecad) @ 3.22
15 69.1% N._European (Xing) + 30.9% Belorussian (Behar) @ 3.24
16 82.8% Slovenian (Xing) + 17.2% FIN (1000Genomes) @ 3.25
17 59.7% N._European (Xing) + 40.3% Mixed_Slav (Dodecad) @ 3.32
18 80.2% Hungarians (Behar) + 19.8% British_Isles (Dodecad) @ 3.4
19 57.8% Orkney (1000 Genomes) + 42.2% Mixed_Slav (Dodecad) @ 3.43
20 57.3% Orcadian (HGDP) + 42.7% Polish (Dodecad) @ 3.46

Adam.Krauze
06-22-2019, 11:58 PM
Admix Results (sorted):

# Population Percent
1 West_European 48.29
2 Mediterranean 24.46
3 East_European 16.83
4 West_Asian 8.70
5 Southwest_Asian 1.44


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 German_Dodecad @ 5.437811
2 CEU_HapMap @ 8.195868
3 N._European_Xing @ 8.742595
4 Argyll_1000 Genomes @ 9.150345
5 Orcadian_HGDP @ 9.959786
6 Slovenian_Xing @ 10.209185
7 Orkney_1000 Genomes @ 10.281397
8 Hungarians_Behar @ 14.864145
9 French_Dodecad @ 16.380508
10 Mixed_Germanic_Dodecad @ 16.424795
11 French_HGDP @ 16.507996
12 Dutch_Dodecad @ 18.064978
13 Kent_1000 Genomes @ 20.381468
14 Swedish_Dodecad @ 21.604580
15 British_Isles_Dodecad @ 22.126486
16 British_Dodecad @ 22.452023
17 Cornwall_1000 Genomes @ 23.163601
18 Norwegian_Dodecad @ 23.849447
19 FIN_1000Genomes @ 24.315596
20 Irish_Dodecad @ 25.207178

Using 2 populations approximation:
1 50% Orcadian_HGDP +50% Slovenian_Xing @ 0.690912


Using 3 populations approximation:
1 50% Orcadian_HGDP +25% Slovenian_Xing +25% Slovenian_Xing @ 0.690912


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++
1 Balkans_Dodecad + German_Dodecad + German_Dodecad + Kent_1000 Genomes @ 0.638934
2 Balkans_Dodecad + Dutch_Dodecad + German_Dodecad + German_Dodecad @ 0.646504
3 Orcadian_HGDP + Orcadian_HGDP + Slovenian_Xing + Slovenian_Xing @ 0.690912
4 Hungarians_Behar + Mixed_Germanic_Dodecad + Orcadian_HGDP + Slovenian_Xing @ 0.707809
5 Balkans_Dodecad + German_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad @ 0.755679
6 CEU_HapMap + Hungarians_Behar + Mixed_Germanic_Dodecad + Slovenian_Xing @ 0.759139
7 Orcadian_HGDP + Orkney_1000 Genomes + Slovenian_Xing + Slovenian_Xing @ 0.766971
8 Hungarians_Behar + Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Slovenian_Xing @ 0.813362
9 Orkney_1000 Genomes + Orkney_1000 Genomes + Slovenian_Xing + Slovenian_Xing @ 0.861010
10 Mixed_Germanic_Dodecad + Mixed_Slav_Dodecad + N_Italian_Dodecad + Swedish_Dodecad @ 0.883751
11 Cornwall_1000 Genomes + Irish_Dodecad + Lithuanians_Behar + Tuscan_HGDP @ 0.905482
12 CEU_HapMap + Dutch_Dodecad + Hungarians_Behar + Slovenian_Xing @ 0.940824
13 CEU_HapMap + Orcadian_HGDP + Slovenian_Xing + Slovenian_Xing @ 0.942908
14 CEU_HapMap + Orkney_1000 Genomes + Slovenian_Xing + Slovenian_Xing @ 0.944405
15 Balkans_Dodecad + Hungarians_Behar + Kent_1000 Genomes + Norwegian_Dodecad @ 0.960021
16 Orcadian_HGDP + Argyll_1000 Genomes + Slovenian_Xing + Slovenian_Xing @ 0.984368
17 Hungarians_Behar + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 0.986690
18 Hungarians_Behar + Hungarians_Behar + Kent_1000 Genomes + N._European_Xing @ 0.991465
19 Dutch_Dodecad + Hungarians_Behar + Argyll_1000 Genomes + Slovenian_Xing @ 1.007643
20 Orkney_1000 Genomes + Argyll_1000 Genomes + Slovenian_Xing + Slovenian_Xing @ 1.037601

Achmadzaky
05-07-2020, 07:52 AM
Dodecad V3 Admix Results
37495

Oracle Results


Single Population Sharing:

1 Hazara (HGDP) 30.64
2 Yemenese (Behar) 32.28
3 Uygur (HGDP) 32.61
4 Uzbeks (Behar) 33.25
5 Egypt (Henn) 33.55
6 Egyptans (Behar) 33.77
7 Libya (Henn) 35.46
8 Bedouin (HGDP) 35.84
9 Jordanians_19 (Behar) 35.85
10 Palestinian (HGDP) 36.51
11 Syrians (Behar) 36.87
12 Lebanese (Behar) 37.13
13 Nepalese (Xing) 37.45
14 Kyrgyzstani (Xing) 39.65
15 Georgia_Jews (Behar) 39.83
16 Uzbekistan_Jews (Behar) 39.97
17 Morocco_Jews (Behar) 40.27
18 Samaritians (Behar) 40.86
19 Algeria (Henn) 40.89
20 Ashkenazy_Jews (Behar) 40.9

Mixed Mode Population Sharing:

1 60.6% Bedouin (HGDP) + 39.4% Thai (Xing) @ 4.64
2 62.1% Egyptans (Behar) + 37.9% Thai (Xing) @ 5.62
3 63.1% Bedouin (HGDP) + 36.9% Khmer_Cambodian (Xing) @ 5.79
4 63.8% Bedouin (HGDP) + 36.2% Cambodians (HGDP) @ 6.32
5 64.6% Egyptans (Behar) + 35.4% Khmer_Cambodian (Xing) @ 6.33
6 65.3% Egyptans (Behar) + 34.7% Cambodians (HGDP) @ 6.61
7 64.9% Bedouin (HGDP) + 35.1% MAS (SGVP) @ 6.73
8 66.3% Egyptans (Behar) + 33.7% MAS (SGVP) @ 6.79
9 65.9% Yemenese (Behar) + 34.1% Khmer_Cambodian (Xing) @ 8.1
10 65.4% Bedouin (HGDP) + 34.6% Vietnamese (Xing) @ 8.12
11 66.8% Egyptans (Behar) + 33.2% Vietnamese (Xing) @ 8.13
12 63.4% Yemenese (Behar) + 36.6% Thai (Xing) @ 8.18
13 66.5% Yemenese (Behar) + 33.5% Cambodians (HGDP) @ 8.22
14 67.6% Yemenese (Behar) + 32.4% MAS (SGVP) @ 8.31
15 69% Egyptans (Behar) + 31% Iban (Xing) @ 8.31
16 67.7% Bedouin (HGDP) + 32.3% Iban (Xing) @ 8.65
17 69.2% Egyptans (Behar) + 30.8% Dai (HGDP) @ 8.66
18 62.5% Egypt (Henn) + 37.5% Thai (Xing) @ 8.76
19 60.9% Jordanians_19 (Behar) + 39.1% Thai (Xing) @ 8.82
20 69.2% Egyptans (Behar) + 30.8% Lahu (HGDP) @ 8.85


Oracle-4 Results


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Yemenese_Behar @ 30.629272
2 Hazara_HGDP @ 31.429289
3 Egypt_Henn @ 32.882038
4 Egyptans_Behar @ 32.996674
5 Uygur_HGDP @ 33.958069
6 Libya_Henn @ 34.974110
7 Uzbeks_Behar @ 34.974419
8 Bedouin_HGDP @ 35.803543
9 Jordanians_19_Behar @ 36.107357
10 Palestinian_HGDP @ 36.864933
11 Syrians_Behar @ 37.440647
12 Lebanese_Behar @ 37.836300
13 Kyrgyzstani_Xing @ 39.059353
14 Nepalese_Xing @ 40.632423
15 Morocco_Jews_Behar @ 41.081505
16 Georgia_Jews_Behar @ 41.143723
17 Uzbekistan_Jews_Behar @ 41.161190
18 Algeria_Henn @ 41.449856
19 Samaritians_Behar @ 42.035812
20 Ashkenazy_Jews_Behar @ 42.075813

Using 2 populations approximation:
1 50% Bedouin_HGDP +50% Thai_Xing @ 10.294157


Using 3 populations approximation:
1 50% Bedouin_HGDP +25% Lahu_HGDP +25% Nepalese_Xing @ 6.155295


Using 4 populations approximation:
1 Bedouin_HGDP + Bedouin_HGDP + Lahu_HGDP + Nepalese_Xing @ 6.155295
2 Bedouin_HGDP + Bedouin_HGDP + Dai_HGDP + Nepalese_Xing @ 6.191721
3 Bedouin_HGDP + Bedouin_HGDP + CHS_SGVP + Nepalese_Xing @ 6.313749
4 Bedouin_HGDP + Bedouin_HGDP + Iban_Xing + Nepalese_Xing @ 6.328324
5 Bedouin_HGDP + Egyptans_Behar + Lahu_HGDP + Nepalese_Xing @ 6.433980
6 Bedouin_HGDP + Bedouin_HGDP + Miaozu_HGDP + Nepalese_Xing @ 6.443000
7 Bedouin_HGDP + Dai_HGDP + Egyptans_Behar + Nepalese_Xing @ 6.465567
8 Bedouin_HGDP + Bedouin_HGDP + CHD_HapMap + Nepalese_Xing @ 6.471591
9 Lahu_HGDP + Yemen_Jews_Behar + Egypt_Henn + Nepalese_Xing @ 6.535676
10 Bedouin_HGDP + Egyptans_Behar + Iban_Xing + Nepalese_Xing @ 6.558643
11 Dai_HGDP + Yemen_Jews_Behar + Egypt_Henn + Nepalese_Xing @ 6.570673
12 Bedouin_HGDP + CHS_SGVP + Egyptans_Behar + Nepalese_Xing @ 6.575960
13 Bedouin_HGDP + Bedouin_HGDP + Nepalese_Xing + Vietnamese_Xing @ 6.613589
14 CHS_SGVP + Yemen_Jews_Behar + Egypt_Henn + Nepalese_Xing @ 6.671118
15 Bedouin_HGDP + Egyptans_Behar + Miaozu_HGDP + Nepalese_Xing @ 6.698923
16 Bedouin_HGDP + CHD_HapMap + Egyptans_Behar + Nepalese_Xing @ 6.719373
17 Bedouin_HGDP + Bnei_Menashe_Jews_Behar + Egyptans_Behar + Lahu_HGDP @ 6.736052
18 Yemen_Jews_Behar + Egypt_Henn + Iban_Xing + Nepalese_Xing @ 6.743196
19 Miaozu_HGDP + Yemen_Jews_Behar + Egypt_Henn + Nepalese_Xing @ 6.790426
20 CHD_HapMap + Yemen_Jews_Behar + Egypt_Henn + Nepalese_Xing @ 6.810231

Achmadzaky
05-07-2020, 09:33 AM
Do you have partial Near Eastern origin?

from which I know on both side

my great grandfather was yemenese n great grandmother was yemeni-iraqi (P)

my great grandfather was yemeni-iraqi n great grandmother was yemeni-javanese (M)

also on (M) side (especially my mother), her father was yemeni-betawi

白加啤
06-04-2020, 12:35 PM
Southeast_Asian 74.22
Northeast_Asian 22.03
South_Asian 2.12
East_European 1.1
Palaeo_African 0.25
Neo_African 0.18
7 Mediterranean 0.09

StrandsofHistory
06-12-2020, 05:47 PM
Admix
Mediterranean 33.55
west-asian 20.15
West-european 19.93
southwest-asian 14.43
east-european 5.92
east-african 1.82
northwest-african 1.52
south-asian 1.27
northeast-asian .75
southeast-asian .29
palaeo-african .37


Oracle (all results below distance 10)
1 Ashkenazy_Jews (Behar) 4.4
2 Ashkenazi (Dodecad) 5.06
3 Morocco_Jews (Behar) 9.58

Mixed mode population sharing top 5
1 67.8% Tuscan (Henn) + 32.2% Jordanians_19 (Behar) @ 3.06
2 56.1% N_Italian (Dodecad) + 43.9% Syrians (Behar) @ 3.46
3 66.1% Tuscan (Henn) + 33.9% Lebanese (Behar) @ 3.49
4 66.1% Tuscan (Henn) + 33.9% Palestinian (HGDP) @ 3.61
5 69.1% Tuscan (Henn) + 30.9% Syrians (Behar) @ 3.65


Oracle 4 (results below 10)
1 Ashkenazy_Jews_Behar @ 4.916222
2 Ashkenazi_Dodecad @ 5.672788

Using 2 populations approximation:
1 50% N_Italian_Dodecad +50% Syrians_Behar @ 4.869880

Using 3 populations approximation:
1 50% Samaritians_Behar +25% Spanish_Dodecad +25% Slovenian_Xing @ 2.072540

Using 4 populations approximation, top 10:
1 Bedouin_HGDP + Greek_Dodecad + S_Italian_Dodecad + N._European_Xing @ 1.498793
2 French_Basque_HGDP + Jordanians_19_Behar + Romanians_14_Behar + Samaritians_Behar @ 1.630902
3 Georgia_Jews_Behar + Jordanians_19_Behar + Sardinian_HGDP + Slovenian_Xing @ 1.664521
4 Bedouin_HGDP + Greek_Dodecad + S_Italian_Dodecad + Argyll_1000 Genomes @ 1.736723
5 Bedouin_HGDP + German_Dodecad + S_Italian_Dodecad + S_Italian_Dodecad @ 1.785321
6 French_Basque_HGDP + Palestinian_HGDP + Romanians_14_Behar + Syrians_Behar @ 1.791843
7 French_Basque_HGDP + Jordanians_19_Behar + Lebanese_Behar + Romanians_14_Behar @ 1.830989
8 Bedouin_HGDP + CEU_HapMap + Greek_Dodecad + S_Italian_Dodecad @ 1.838156
9 Georgia_Jews_Behar + Palestinian_HGDP + Sardinian_HGDP + Slovenian_Xing @ 1.857413
10 IBS_1000Genomes + Jordanians_19_Behar + Samaritians_Behar + Slovenian_Xing @ 1.881708

Kapisa
01-05-2021, 11:08 PM
Pakistani Potohari:
Ancestry data:

Admix Results (sorted):

# Population Percent
1 South_Asian 42.02
2 West_Asian 25.93
3 West_European 9.43
4 East_European 6.94
5 Mediterranean 5.34
6 Southwest_Asian 3.59
7 Northeast_Asian 3.3
8 Southeast_Asian 2.03

Single Population Sharing:

# Population (source) Distance
1 Pathan (HGDP) 4.61
2 Pakistani (Xing) 4.94
3 Kashmiri_Pandit (Reich) 5.19
4 Sindhi (HGDP) 5.6
5 Burusho (HGDP) 7.57

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.2% Pakistani (Xing) + 7.8% Adygei (HGDP) @ 2.52
2 92.5% Pakistani (Xing) + 7.5% Lezgins (Behar) @ 2.59
3 73.4% Pakistani (Xing) + 26.6% Balochi (HGDP) @ 2.68
4 75.5% Pakistani (Xing) + 24.5% Brahui (HGDP) @ 2.69
5 80% Pakistani (Xing) + 20% Makrani (HGDP) @ 2.74
6 93.3% Pakistani (Xing) + 6.7%Georgians (Behar) @ 2.74
7 90.4% Pakistani (Xing) + 9.6%Iranian (Dodecad) @ 2.86
8 91.3% Sindhi (HGDP) + 8.7% Adygei (HGDP) @ 2.94

Sister's V3 results:
Admix Results (sorted):

# Population Percent
1 South_Asian 42.59
2 West_Asian 23.87
3 West_European 10.09
4 East_European 6.64
5 Mediterranean 6.15
6 Southwest_Asian 5.37
7 Southeast_Asian 2.3
8 Northeast_Asian 1.99
9 East_African 0.48
10 Neo_African 0.44
11 Northwest_African 0.08

Single Population Sharing:

# Population (source) Distance
1 Pakistani (Xing) 3.64
2 Sindhi (HGDP) 4.55
3 Pathan (HGDP) 4.95
4 Kashmiri_Pandit (Reich) 5.4
5 Burusho (HGDP) 8.17

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.2% Pakistani (Xing) + 7.8% Iranians (Behar) @ 1.74
2 84.9% Pakistani (Xing) + 15.1% Makrani (HGDP) @ 1.91
3 53.4% Balochi (HGDP) + 46.6% Vaish (Reich) @ 1.95
4 81.8% Pakistani (Xing) + 18.2% Brahui (HGDP) @ 1.96
5 93.8% Pakistani (Xing) + 6.2% Syrians (Behar) @ 1.98
6 51.1% Brahui (HGDP) + 48.9% Vaish (Reich) @ 1.98
7 80.6% Pakistani (Xing) + 19.4% Balochi (HGDP) @ 2
8 92.8% Pakistani (Xing) + 7.2% Iranian (Dodecad) @ 2.05
9 92.5% Pakistani (Xing) + 7.5% Kurd (Dodecad) @ 2.07
10 94.7% Pakistani (Xing) + 5.3% Bedouin (HGDP) @ 2.1
11 93.9% Pakistani (Xing) + 6.1% Georgia_Jews (Behar) @ 2.13
12 96.1% Pakistani (Xing) + 3.9% Saudis (Behar) @ 2.16
13 94.5% Pakistani (Xing) + 5.5% Assyrian (Dodecad) @ 2.19
14 94.2% Pakistani (Xing) + 5.8% Yemenese (Behar) @ 2.19
15 94.4% Pakistani (Xing) + 5.6% Jordanians_19 (Behar) @ 2.2
16 93.3% Pakistani (Xing) + 6.7% Uzbekistan_Jews (Behar) @ 2.2
17 96.2% Pakistani (Xing) + 3.8% Yemen_Jews (Behar) @ 2.23
18 93.9% Pakistani (Xing) + 6.1% Iranian_Jews (Behar) @ 2.23
19 94.2% Pakistani (Xing) + 5.8% Iraq_Jews (Behar) @ 2.23
20 94.4% Pakistani (Xing) + 5.6% Palestinian (HGDP) @ 2.26

mr051465
07-26-2021, 06:47 AM
# Primary Population (source) Secondary Population (source) Distance
1 88.9% Slovenian (Xing) + 11.1% Portuguese (Dodecad) @ 1.84
2 89.8% Slovenian (Xing) + 10.2% Spaniards (Behar) @ 1.88
3 89.9% Slovenian (Xing) + 10.1% IBS (1000Genomes) @ 1.91
4 90% Slovenian (Xing) + 10% Spanish (Dodecad) @ 1.93
5 90.5% Slovenian (Xing) + 9.5% French_Basque (HGDP) @ 2.02
6 86.9% Slovenian (Xing) + 13.1% French (HGDP) @ 2.1
7 61.3% German (Dodecad) + 38.7% Romanians_14 (Behar) @ 2.22
8 53.1% N._European (Xing) + 46.9% Balkans (Dodecad) @ 2.3
9 90.9% Slovenian (Xing) + 9.1% North_Italian (HGDP) @ 2.34
10 89.4% Slovenian (Xing) + 10.6% N_Italian (Dodecad) @ 2.38
11 52.2% Argyll (1000 Genomes) + 47.8% Balkans (Dodecad) @ 2.38
12 92.8% Slovenian (Xing) + 7.2% Sardinian (HGDP) @ 2.41
13 63% Balkans (Dodecad) + 37% Norwegian (Dodecad) @ 2.53
14 58.4% Romanians_14 (Behar) + 41.6% Swedish (Dodecad) @ 2.62
15 58.8% German (Dodecad) + 41.2% Balkans (Dodecad) @ 2.71
16 92.6% Slovenian (Xing) + 7.4% Tuscan (HGDP) @ 2.73
17 50.6% Orkney (1000 Genomes) + 49.4% Balkans (Dodecad) @ 2.75
18 90.7% Slovenian (Xing) + 9.3% TSI (HapMap) @ 2.77
19 90.7% Slovenian (Xing) + 9.3% Tuscan (Xing) @ 2.81
20 92.4% Slovenian (Xing) + 7.6% O_Italian (Dodecad) @
1 Slovenian (Xing) 3.59
2 Hungarians (Behar) 7.11
3 German (Dodecad) 12.13
4 CEU (HapMap) 14.54
5 N._European (Xing) 15.1
6 Argyll (1000 Genomes) 15.66
7 Orcadian (HGDP) 16.37
8 Orkney (1000 Genomes) 16.66
9 Balkans (Dodecad) 17.06
10 Romanians_14 (Behar) 18.98
11 French (Dodecad) 19.08
12 French (HGDP) 19.43
13 Tuscan (Xing) 21.85
14 Tuscan (Henn) 22
15 Mixed_Germanic (Dodecad) 22.03
16 TSI (HapMap) 22.34
17 N_Italian (Dodecad) 22.77
18 Dutch (Dodecad) 23.5
19 Portuguese (Dodecad) 24.65
20 FIN (1000Genomes) 24.88

luasits
07-26-2021, 07:22 PM
1 West_European 41.35
2 Mediterranean 33.19
3 Northwest_African 7.31
4 West_Asian 6.99
5 Southwest_Asian 5.81
6 East_European 2.80
7 East_African 2.26

Using 1 population approximation:
1 Portuguese_Dodecad @ 12.236656
2 French_Dodecad @ 13.573579
3 French_HGDP @ 13.592626
4 Spaniards_Behar @ 16.435703
5 IBS_1000Genomes @ 16.488430
6 Spanish_Dodecad @ 16.878960
7 N_Italian_Dodecad @ 17.449936
8 Tuscan_Henn @ 17.559748
9 TSI_HapMap @ 18.113226
10 Tuscan_Xing @ 18.205881
11 CEU_HapMap @ 19.106590
12 French_Basque_HGDP @ 19.925083
13 N._European_Xing @ 20.071674
14 North_Italian_HGDP @ 20.925230
15 Orcadian_HGDP @ 21.175085
16 Orkney_1000 Genomes @ 21.452288
17 Argyll_1000 Genomes @ 21.485035
18 O_Italian_Dodecad @ 22.693144
19 German_Dodecad @ 22.954950
20 Slovenian_Xing @ 23.554480

Using 2 populations approximation:
1 50% Portuguese_Dodecad +50% N._European_Xing @ 8.595128

Using 3 populations approximation:
1 50% Dutch_Dodecad +25% Sardinian_HGDP +25% Morocco_N_Henn @ 2.297105

1 Kent_1000 Genomes + Mixed_Germanic_Dodecad + Sardinian_HGDP + Morocco_N_Henn @ 2.180200
2 French_Dodecad + Irish_Dodecad + North_Italian_HGDP + Morocco_N_Henn @ 2.260092
3 Dutch_Dodecad + Mixed_Germanic_Dodecad + Sardinian_HGDP + Morocco_N_Henn @ 2.288127
4 French_HGDP + Irish_Dodecad + North_Italian_HGDP + Morocco_N_Henn @ 2.293807
5 Dutch_Dodecad + Dutch_Dodecad + Sardinian_HGDP + Morocco_N_Henn @ 2.297105

Mrtni
07-27-2021, 12:48 AM
1 West_Asian 31.2
2 Mediterranean 22.63
3 West_European 11.5
4 Southwest_Asian 11.13
5 Northeast_Asian 6.59
6 East_European 6.26
7 Southeast_Asian 5.45
8 South_Asian 4.96
9 Neo_African 0.21
10 East_African 0.06

Single Population Sharing:

# Population (source) Distance
1 Turkish (Dodecad) 12.36
2 Uzbekistan_Jews (Behar) 13.28
3 Kurd (Dodecad) 14.31
4 Kurd (Xing) 14.35
5 Turks (Behar) 14.78
6 Stalskoe (Xing) 15.2
7 Georgia_Jews (Behar) 16.71
8 Ashkenazy_Jews (Behar) 16.79
9 Ashkenazi (Dodecad) 17.17
10 Azerbaijan_Jews (Behar) 17.38
11 Iranian_Jews (Behar) 17.98
12 Lebanese (Behar) 18.82
13 Morocco_Jews (Behar) 19.04
14 Iranians (Behar) 19.17
15 Iraq_Jews (Behar) 19.57
16 Iranian (Dodecad) 19.61
17 Druze (HGDP) 19.83
18 Palestinian (HGDP) 20.18
19 Syrians (Behar) 20.5
20 Samaritians (Behar) 22.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.1% Uzbekistan_Jews (Behar) + 17.9% Altai (Rasmussen) @ 6.02
2 80.4% Uzbekistan_Jews (Behar) + 19.6% Kyrgyzstani (Xing) @ 6.21
3 83.8% Uzbekistan_Jews (Behar) + 16.2% Mongol (Rasmussen) @ 6.63
4 83.9% Uzbekistan_Jews (Behar) + 16.1% Yukagir (Rasmussen) @ 6.73
5 71.5% Uzbekistan_Jews (Behar) + 28.5% Uzbeks (Behar) @ 6.74
6 84.8% Uzbekistan_Jews (Behar) + 15.2% Tuva (Rasmussen) @ 6.8
7 84.7% Uzbekistan_Jews (Behar) + 15.3% Dolgan (Rasmussen) @ 6.89
8 75.3% Uzbekistan_Jews (Behar) + 24.7% Hazara (HGDP) @ 6.92
9 85.6% Uzbekistan_Jews (Behar) + 14.4% Buryat (Xing) @ 7.06
10 85.7% Uzbekistan_Jews (Behar) + 14.3% Buryat (Rasmussen) @ 7.09
11 77.2% Uzbekistan_Jews (Behar) + 22.8% Uygur (HGDP) @ 7.14
12 77.5% Turkish (Dodecad) + 22.5% Hazara (HGDP) @ 7.18
13 82.7% Turkish (Dodecad) + 17.3% Kyrgyzstani (Xing) @ 7.22
14 84.8% Uzbekistan_Jews (Behar) + 15.2% Selkup (Rasmussen) @ 7.28
15 87.2% Uzbekistan_Jews (Behar) + 12.8% Oroqen (HGDP) @ 7.3
16 84.5% Turkish (Dodecad) + 15.5% Altai (Rasmussen) @ 7.33
17 74.3% Turkish (Dodecad) + 25.7% Uzbeks (Behar) @ 7.48
18 86.4% Turkish (Dodecad) + 13.6% Selkup (Rasmussen) @ 7.58
19 87% Uzbekistan_Jews (Behar) + 13% Yakut (HGDP) @ 7.63
20 87.6% Uzbekistan_Jews (Behar) + 12.4% Hezhen (HGDP) @ 7.68


50% Lebanese_Behar +50% Stalskoe_Xing @ 8.399016


Using 3 populations approximation:
1 50% Azerbaijan_Jews_Behar +25% Hazara_HGDP +25% Romanians_14_Behar @ 3.356159


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 S_Italian_Dodecad + Syrians_Behar + Uzbeks_Behar + Stalskoe_Xing @ 2.086787
2 Syrians_Behar + Turks_Behar + Uzbeks_Behar + Tuscan_Xing @ 2.142270
3 Syrians_Behar + TSI_HapMap + Turks_Behar + Uzbeks_Behar @ 2.227974
4 Iranian_Dodecad + Syrians_Behar + Tuscan_HGDP + Uzbeks_Behar @ 2.260633
5 Syrians_Behar + Turks_Behar + Uzbeks_Behar + Tuscan_Henn @ 2.288408
6 Sicilian_Dodecad + Syrians_Behar + Uzbeks_Behar + Stalskoe_Xing @ 2.370746
7 Iranian_Dodecad + Lebanese_Behar + O_Italian_Dodecad + Uzbeks_Behar @ 2.413037
8 S_Italian_Sicilian_Dodecad + Syrians_Behar + Uzbeks_Behar + Stalskoe_Xing @ 2.473600
9 Ashkenazy_Jews_Behar + Turkish_Dodecad + Uzbekistan_Jews_Behar + Uzbeks_Behar @ 2.491694
10 Ashkenazi_Dodecad + Turkish_Dodecad + Uzbekistan_Jews_Behar + Uzbeks_Behar @ 2.518361
11 O_Italian_Dodecad + Syrians_Behar + Turks_Behar + Uzbeks_Behar @ 2.552037
12 Georgia_Jews_Behar + O_Italian_Dodecad + Uzbeks_Behar + Kurd_Xing @ 2.563760
13 Iraq_Jews_Behar + Uzbeks_Behar + Kurd_Xing + Tuscan_Xing @ 2.570305
14 Iranian_Jews_Behar + Uzbeks_Behar + Kurd_Xing + Tuscan_Xing @ 2.624238
15 Georgia_Jews_Behar + Kurd_Dodecad + O_Italian_Dodecad + Uzbeks_Behar @ 2.632277
16 Iranian_Jews_Behar + Sephardic_Jews_Behar + Uzbeks_Behar + Stalskoe_Xing @ 2.634064
17 Iranian_Dodecad + Lebanese_Behar + Uzbeks_Behar + Tuscan_Henn @ 2.646023
18 Iraq_Jews_Behar + Uzbeks_Behar + Tuscan_Henn + Kurd_Xing @ 2.662733
19 Iranian_Jews_Behar + Uzbeks_Behar + Tuscan_Henn + Kurd_Xing @ 2.664402
20 Druze_HGDP + Uzbeks_Behar + Kurd_Xing + Tuscan_Xing @ 2.676607

Encik Ahmad
07-27-2021, 03:53 AM
I am a Malay from Singapore.

Below is my Dodecad V3 results:

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 67.14
2 South_Asian 17.49
3 Northeast_Asian 4.91
4 West_European 2.96
5 East_European 2.70
6 Southwest_Asian 1.50
7 East_African 1.34
8 West_Asian 1.10


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Thai_Xing @ 6.068399
2 Khmer_Cambodian_Xing @ 14.053839
3 Cambodians_HGDP @ 15.742119
4 MAS_SGVP @ 18.588728
5 Nysha_Reich @ 21.833012
6 Tu_HGDP @ 22.660410
7 Vietnamese_Xing @ 23.256763
8 Aonaga_Reich @ 24.483797
9 Naxi_HGDP @ 24.605291
10 Yizu_HGDP @ 25.088678
11 Chinese_Dodecad @ 25.723000
12 Han_HGDP @ 26.648462
13 JPT_HapMap @ 26.910805
14 She_HGDP @ 27.114368
15 Tujia_HGDP @ 27.240658
16 CHB_HapMap @ 27.393610
17 Japanese_Dodecad @ 27.623461
18 Japanese_HGDP @ 27.750120
19 Korean_Dodecad @ 27.909832
20 Iban_Xing @ 28.378992

Using 2 populations approximation:
1 50% Thai_Xing +50% Thai_Xing @ 6.068399


Using 3 populations approximation:
1 50% Lahu_HGDP +25% Thai_Xing +25% Tharu_Reich @ 2.753721


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++
1 Iban_Xing + Vietnamese_Xing + Vietnamese_Xing + Lodi_Reich @ 2.538752
2 Cambodians_HGDP + Lahu_HGDP + Miaozu_HGDP + Lodi_Reich @ 2.642118
3 Cambodians_HGDP + CHD_HapMap + Lahu_HGDP + Lodi_Reich @ 2.664434
4 Chinese_Dodecad + Iban_Xing + Iban_Xing + Lodi_Reich @ 2.666588
5 Naxi_HGDP + Iban_Xing + Iban_Xing + Lodi_Reich @ 2.671242
6 Cambodians_HGDP + CHS_SGVP + Lahu_HGDP + Lodi_Reich @ 2.674520
7 Cambodians_HGDP + Lahu_HGDP + Vietnamese_Xing + Tharu_Reich @ 2.699618
8 Yizu_HGDP + Iban_Xing + Iban_Xing + Lodi_Reich @ 2.704350
9 Cambodians_HGDP + Dai_HGDP + Miaozu_HGDP + Lodi_Reich @ 2.712501
10 Cambodians_HGDP + Tujia_HGDP + Iban_Xing + Tharu_Reich @ 2.732438
11 Cambodians_HGDP + She_HGDP + Iban_Xing + Tharu_Reich @ 2.741807
12 Cambodians_HGDP + CHD_HapMap + Dai_HGDP + Lodi_Reich @ 2.751356
13 Lahu_HGDP + Lahu_HGDP + Thai_Xing + Tharu_Reich @ 2.753721
14 Miaozu_HGDP + Iban_Xing + Vietnamese_Xing + Lodi_Reich @ 2.753794
15 Cambodians_HGDP + Dai_HGDP + Vietnamese_Xing + Tharu_Reich @ 2.761742
16 Lahu_HGDP + MAS_SGVP + Vietnamese_Xing + Tharu_Reich @ 2.766016
17 Lahu_HGDP + MAS_SGVP + Tujia_HGDP + Lodi_Reich @ 2.777345
18 Lahu_HGDP + MAS_SGVP + She_HGDP + Lodi_Reich @ 2.783761
19 Cambodians_HGDP + CHS_SGVP + Dai_HGDP + Lodi_Reich @ 2.785053
20 Cambodians_HGDP + CHB_HapMap + Iban_Xing + Tharu_Reich @ 2.796970

06lab
07-27-2021, 03:05 PM
Admix Results (sorted):

# Population Percent
1 West_European 30.95
2 West_Asian 23.35
3 Mediterranean 22.61
4 East_European 10.28
5 South_Asian 4.70
6 Southwest_Asian 4.56
7 Southeast_Asian 2.09
8 Northeast_Asian 1.45


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Tuscan_Xing @ 16.996105
2 TSI_HapMap @ 17.775291
3 Tuscan_Henn @ 18.102070
4 Ashkenazy_Jews_Behar @ 18.775753
5 Stalskoe_Xing @ 20.052155
6 Ashkenazi_Dodecad @ 20.601400
7 Romanians_14_Behar @ 20.811861
8 Slovenian_Xing @ 20.978624
9 O_Italian_Dodecad @ 22.746403
10 Balkans_Dodecad @ 23.647041
11 Hungarians_Behar @ 23.674974
12 N_Italian_Dodecad @ 25.622608
13 C_Italian_Dodecad @ 26.106098
14 Morocco_Jews_Behar @ 27.283966
15 Tuscan_HGDP @ 27.614260
16 Urkarah_Xing @ 27.650028
17 Greek_Dodecad @ 28.224806
18 N._European_Xing @ 28.486626
19 CEU_HapMap @ 28.859791
20 German_Dodecad @ 28.874670

Using 2 populations approximation:
1 50% German_Dodecad +50% Kurd_Dodecad @ 4.436324


Using 3 populations approximation:
1 50% German_Dodecad +25% Kurd_Dodecad +25% Turkish_Dodecad @ 3.075589


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++
1 French_Dodecad + Kurd_Dodecad + Slovenian_Xing + Stalskoe_Xing @ 2.191884
2 French_HGDP + Hungarians_Behar + Kurd_Dodecad + Stalskoe_Xing @ 2.309183
3 FIN_1000Genomes + Iranian_Dodecad + Spanish_Dodecad + Stalskoe_Xing @ 2.352227
4 French_Dodecad + Hungarians_Behar + Kurd_Dodecad + Stalskoe_Xing @ 2.357917
5 FIN_1000Genomes + Spaniards_Behar + Kurd_Xing + Urkarah_Xing @ 2.370683
6 FIN_1000Genomes + Iranian_Dodecad + Spaniards_Behar + Stalskoe_Xing @ 2.375216
7 FIN_1000Genomes + IBS_1000Genomes + Iranian_Dodecad + Stalskoe_Xing @ 2.377391
8 FIN_1000Genomes + Spanish_Dodecad + Kurd_Xing + Urkarah_Xing @ 2.382478
9 French_HGDP + Kurd_Dodecad + Slovenian_Xing + Stalskoe_Xing @ 2.385826
10 FIN_1000Genomes + IBS_1000Genomes + Kurd_Xing + Urkarah_Xing @ 2.398561
11 FIN_1000Genomes + IBS_1000Genomes + Kurd_Dodecad + Urkarah_Xing @ 2.431238
12 Dutch_Dodecad + Hungarians_Behar + Kurd_Xing + Stalskoe_Xing @ 2.453117
13 FIN_1000Genomes + Kurd_Dodecad + Spanish_Dodecad + Urkarah_Xing @ 2.454571
14 FIN_1000Genomes + Kurd_Dodecad + Spaniards_Behar + Urkarah_Xing @ 2.561367
15 FIN_1000Genomes + Kurd_Dodecad + North_Italian_HGDP + Stalskoe_Xing @ 2.612203
16 Hungarians_Behar + Kent_1000 Genomes + Kurd_Xing + Stalskoe_Xing @ 2.629427
17 Orcadian_HGDP + Kurd_Xing + Slovenian_Xing + Stalskoe_Xing @ 2.651907
18 Orkney_1000 Genomes + Kurd_Xing + Slovenian_Xing + Stalskoe_Xing @ 2.667950
19 French_Dodecad + Kurd_Xing + Slovenian_Xing + Stalskoe_Xing @ 2.672395
20 CEU_HapMap + Kurd_Xing + Slovenian_Xing + Stalskoe_Xing @ 2.699218

Tartessian
08-27-2021, 08:34 PM
Hi, I am from Andalusia (Cadiz province)
ORACLE:
Admix Results (sorted):

# Population Percent
1 Mediterranean 37.64
2 West_European 36.74
3 West_Asian 12.41
4 Northwest_African 4.62
5 East_European 4.46
6 Southwest_Asian 1.9
7 East_African 1.16
8 South_Asian 0.96
9 Palaeo_African 0.11

Single Population Sharing:

# Population (source) Distance
1 N_Italian (Dodecad) 8.38
2 TSI (HapMap) 9.89
3 Tuscan (Henn) 9.96
4 Tuscan (Xing) 10.19
5 Portuguese (Dodecad) 10.86
6 North_Italian (HGDP) 12.28
7 IBS (1000Genomes) 13.03
8 O_Italian (Dodecad) 13.25
9 Spaniards (Behar) 13.6
10 Spanish (Dodecad) 13.81
11 Tuscan (HGDP) 14.85
12 French (HGDP) 15.36
13 French (Dodecad) 15.46
14 C_Italian (Dodecad) 18.75
15 French_Basque (HGDP) 19.36
16 Sardinian (HGDP) 19.5
17 CEU (HapMap) 20.73
18 Ashkenazy_Jews (Behar) 20.84
19 Slovenian (Xing) 21.42
20 Ashkenazi (Dodecad) 21.72

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.4% Portuguese (Dodecad) + 20.6% Urkarah (Xing) @ 2.07
2 84.6% Portuguese (Dodecad) + 15.4% Lezgins (Behar) @ 2.73
3 84% Portuguese (Dodecad) + 16% Adygei (HGDP) @ 2.75
4 76.9% Portuguese (Dodecad) + 23.1% Stalskoe (Xing) @ 3.04
5 75.3% Spanish (Dodecad) + 24.7% Urkarah (Xing) @ 3.16
6 76.4% IBS (1000Genomes) + 23.6% Urkarah (Xing) @ 3.25
7 72.2% Spanish (Dodecad) + 27.8% Stalskoe (Xing) @ 3.66
8 73.5% IBS (1000Genomes) + 26.5% Stalskoe (Xing) @ 3.72
9 82.2% IBS (1000Genomes) + 17.8% Lezgins (Behar) @ 3.8
10 75.8% Spaniards (Behar) + 24.2% Urkarah (Xing) @ 3.8
11 81.3% Spanish (Dodecad) + 18.7% Lezgins (Behar) @ 3.82
12 72.7% Spaniards (Behar) + 27.3% Stalskoe (Xing) @ 3.93
13 86.1% Portuguese (Dodecad) + 13.9% Georgians (Behar) @ 4.01
14 63% French (HGDP) + 37% Sicilian (Dodecad) @ 4.11
15 80.7% Spanish (Dodecad) + 19.3% Adygei (HGDP) @ 4.21
16 81.8% IBS (1000Genomes) + 18.2% Adygei (HGDP) @ 4.38
17 64.7% French (HGDP) + 35.3% S_Italian (Dodecad) @ 4.52
18 52.9% TSI (HapMap) + 47.1% Portuguese (Dodecad) @ 4.55
19 51.9% Tuscan (Xing) + 48.1% Portuguese (Dodecad) @ 4.56
20 54.1% O_Italian (Dodecad) + 45.9% French (HGDP) @ 4.66


ORACLE 4:
Admix Results (sorted):

# Population Percent
1 Mediterranean 37.64
2 West_European 36.74
3 West_Asian 12.41
4 Northwest_African 4.62
5 East_European 4.46
6 Southwest_Asian 1.90
7 East_African 1.16


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 N_Italian_Dodecad @ 9.256909
2 TSI_HapMap @ 11.128982
3 Tuscan_Henn @ 11.160147
4 Tuscan_Xing @ 11.439704
5 Portuguese_Dodecad @ 12.227167
6 North_Italian_HGDP @ 13.534345
7 IBS_1000Genomes @ 14.558810
8 O_Italian_Dodecad @ 14.820601
9 Spaniards_Behar @ 15.199010
10 Spanish_Dodecad @ 15.450395
11 Tuscan_HGDP @ 16.510031
12 French_HGDP @ 17.181782
13 French_Dodecad @ 17.324656
14 C_Italian_Dodecad @ 20.990587
15 Sardinian_HGDP @ 21.571318
16 French_Basque_HGDP @ 21.714127
17 CEU_HapMap @ 23.040798
18 Ashkenazy_Jews_Behar @ 23.365076
19 Slovenian_Xing @ 23.580997
20 Ashkenazi_Dodecad @ 24.375053

Using 2 populations approximation:
1 50% Portuguese_Dodecad +50% TSI_HapMap @ 5.055025


Using 3 populations approximation:
1 50% Portuguese_Dodecad +25% Spanish_Dodecad +25% Urkarah_Xing @ 2.629225


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++
1 Portuguese_Dodecad + Portuguese_Dodecad + Spanish_Dodecad + Urkarah_Xing @ 2.629225
2 Portuguese_Dodecad + Spanish_Dodecad + Spanish_Dodecad + Urkarah_Xing @ 2.687278
3 Portuguese_Dodecad + Portuguese_Dodecad + Spaniards_Behar + Urkarah_Xing @ 2.755153
4 Portuguese_Dodecad + Portuguese_Dodecad + Spaniards_Behar + Stalskoe_Xing @ 2.808693
5 IBS_1000Genomes + Portuguese_Dodecad + Spanish_Dodecad + Urkarah_Xing @ 2.826626
6 IBS_1000Genomes + Portuguese_Dodecad + Portuguese_Dodecad + Urkarah_Xing @ 2.855472
7 Portuguese_Dodecad + Spaniards_Behar + Spanish_Dodecad + Urkarah_Xing @ 2.861795
8 Portuguese_Dodecad + Portuguese_Dodecad + Spanish_Dodecad + Stalskoe_Xing @ 2.922819
9 IBS_1000Genomes + Portuguese_Dodecad + Spaniards_Behar + Urkarah_Xing @ 2.977533
10 IBS_1000Genomes + IBS_1000Genomes + Portuguese_Dodecad + Urkarah_Xing @ 2.986450
11 IBS_1000Genomes + Portuguese_Dodecad + Portuguese_Dodecad + Stalskoe_Xing @ 2.990649
12 Portuguese_Dodecad + Spaniards_Behar + Spaniards_Behar + Urkarah_Xing @ 3.141812
13 IBS_1000Genomes + Portuguese_Dodecad + Spaniards_Behar + Stalskoe_Xing @ 3.201965
14 Portuguese_Dodecad + Spaniards_Behar + Spanish_Dodecad + Stalskoe_Xing @ 3.228702
15 French_Basque_HGDP + Portuguese_Dodecad + Portuguese_Dodecad + Urkarah_Xing @ 3.229141
16 Greek_Dodecad + Mixed_Germanic_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad @ 3.260394
17 IBS_1000Genomes + Portuguese_Dodecad + Spanish_Dodecad + Stalskoe_Xing @ 3.266236
18 Portuguese_Dodecad + Spaniards_Behar + Spaniards_Behar + Stalskoe_Xing @ 3.275367
19 Portuguese_Dodecad + Spanish_Dodecad + Spanish_Dodecad + Stalskoe_Xing @ 3.276387
20 IBS_1000Genomes + IBS_1000Genomes + Portuguese_Dodecad + Stalskoe_Xing @ 3.288630

Done.