Information on the East Asian - Sino-Tibetan - Tibeto-Burman Metapopulation

The Tibeto-Burman Metapopulation (East Asian - Sino-Tibetan - Tibeto-Burman) consists of 16828 haplotypes (at least minimal) and 67 unique population samples.

Most common haplotypes

Count DYS19 DYS389I DYS389II DYS390 DYS391 DYS392 DYS393 DYS385
395 15 14 30 25 10 7 13 11,11
232 13 13 29 23 10 11 14 14,14
210 15 13 29 25 10 7 13 11,11
194 14 12 28 23 10 14 12 13,19
157 15 14 30 25 10 7 13 11,14
155 15 14 30 26 10 7 13 11,11
148 14 12 28 23 10 14 12 13,18
97 14 12 28 24 10 14 12 13,18
91 15 12 28 23 10 14 12 13,17
90 15 14 30 23 10 7 13 11,11
Count DYS391 DYS389I DYS439 DYS389II DYS438 DYS437 DYS19 DYS392 DYS393 DYS390 DYS385
273 10 14 12 30 11 14 15 7 13 25 11,11
165 10 13 12 29 10 14 13 11 14 23 14,14
152 10 13 12 29 11 14 15 7 13 25 11,11
135 10 14 11 30 11 14 15 7 13 25 11,14
127 10 14 12 30 11 14 15 7 13 26 11,11
68 10 13 11 29 10 14 15 11 15 23 11,18
63 10 14 11 30 11 14 15 7 13 25 11,11
63 10 14 12 30 11 14 15 7 13 23 11,11
62 10 13 10 29 10 14 15 11 12 24 14,18
61 10 14 12 30 11 14 16 7 13 25 11,11
Count DYS456 DYS389I DYS390 DYS389II DYS458 DYS19 DYS385 DYS393 DYS391 DYS439 DYS635 DYS392 YGATAH4 DYS437 DYS438 DYS448
66 16 14 26 30 16 15 11,11 13 10 12 21 7 10 14 11 19
56 16 14 25 30 16 15 11,11 13 10 12 21 7 11 14 11 19
51 16 14 25 30 17 15 11,14 13 10 11 21 7 11 14 11 19
36 15 13 23 29 16 14 13,13 13 10 12 19 14 12 14 10 18
36 16 13 25 29 16 15 11,11 13 10 12 21 7 11 14 11 19
36 16 14 25 30 16 16 11,11 13 10 12 21 7 11 14 11 19
30 15 13 24 29 17 14 14,19 12 11 10 21 11 11 14 10 17
30 15 14 25 30 16 15 11,11 13 10 12 21 7 11 14 11 19
28 15 13 23 29 17 15 11,18 15 10 11 21 11 12 14 10 21
28 15 13 24 30 16 15 11,14 13 10 12 21 7 11 14 11 19
Count DYS576 DYS389I DYS448 DYS389II DYS19 DYS391 DYS481 DYS549 DYS533 DYS438 DYS437 DYS570 DYS635 DYS390 DYS439 DYS392 DYS643 DYS393 DYS458 DYS385 DYS456 YGATAH4
15 18 13 21 30 16 10 26 13 12 10 14 16 21 23 11 11 8 14 15 11,18 15 11
11 17 12 20 28 14 10 25 14 11 11 15 18 21 24 12 14 11 12 14 13,18 14 11
10 19 12 20 29 14 10 21 13 11 12 15 18 20 24 13 14 12 12 18 13,17 15 12
10 19 12 20 29 14 10 21 13 11 12 15 18 20 24 13 14 12 13 18 13,17 15 12
9 19 13 19 29 13 10 18 12 11 10 14 17 21 23 12 11 9 14 16 14,14 15 11
8 18 12 20 28 14 11 23 12 11 11 15 19 21 22 13 14 11 13 16 11,21 15 12
8 19 13 17 30 15 10 27 13 11 10 14 18 21 24 10 11 10 12 17 14,18 15 11
8 20 13 20 29 13 10 17 12 11 10 14 16 23 23 12 11 9 14 17 14,14 16 11
7 17 13 19 30 15 10 27 12 12 11 14 19 21 24 12 7 11 13 16 11,14 15 11
7 18 12 20 27 14 11 23 12 11 11 15 19 20 23 11 15 12 12 17 13,18 15 13
Count DYS576 DYS389I DYS635 DYS389II DYS627 DYS460 DYS458 DYS19 YGATAH4 DYS448 DYS391 DYS456 DYS390 DYS438 DYS392 DYS518 DYS570 DYS437 DYS385 DYS449 DYS393 DYS439 DYS481 DYF387S1 DYS533
7 18 12 22 28 21 10 19 14 12 20 11 15 24 11 13 33 18 15 13,20 35 12 12 24 35,38 11
6 16 13 19 29 20 11 16 14 12 18 10 15 23 10 14 36 18 14 13,13 32 13 12 24 36,40 11
6 17 12 20 28 19 9 17 14 11 20 10 15 22 11 14 34 18 15 11,19 31 12 13 22 37,37 11
6 17 12 21 28 19 9 14 14 11 20 10 14 24 11 14 35 18 15 13,18 32 12 12 25 36,38 11
6 17 13 22 29 19 10 17 16 11 18 11 15 24 10 13 41 16 14 13,18 26 13 12 22 40,40 10
6 19 12 20 29 17 9 18 14 12 20 10 15 24 12 14 37 18 15 13,17 33 13 13 21 35,37 11
6 20 12 19 29 23 9 18 13 12 20 10 14 23 10 12 38 17 15 12,14 34 13 11 22 35,41 12
5 17 13 21 29 21 10 18 14 11 17 10 15 24 10 11 41 20 14 14,19 29 12 10 27 39,39 11
5 18 12 20 29 19 9 18 14 12 20 10 15 24 11 14 35 19 15 14,21 32 12 12 23 35,39 11
5 19 12 20 29 17 9 18 14 12 20 10 15 24 12 14 37 18 15 13,17 33 12 13 21 35,37 11
Count DYS19 DYS389I DYS389II DYS390 DYS391 DYS392 DYS393 DYS385 DYS438 DYS439 DYS437 DYS448 DYS456 DYS458 DYS635 YGATAH4 DYS481 DYS533 DYS549 DYS570 DYS576 DYS643 DYF387S1 DYS449 DYS460 DYS518 DYS627
6 14 12 28 22 10 14 12 11,19 11 13 15 20 15 17 20 11 22 11 12 18 17 12 37,37 31 9 34 19
6 16 13 29 24 11 13 13 13,18 10 12 14 18 15 17 22 11 22 10 12 16 17 12 40,40 26 10 41 19
5 13 13 29 23 10 11 14 14,14 10 12 14 19 16 16 24 11 18 11 12 17 19 9 36,40 35 10 41 20
5 14 12 29 24 10 14 12 13,17 12 13 15 20 15 18 20 12 21 11 13 18 19 12 35,37 33 9 37 17
5 14 12 29 24 10 14 13 13,17 12 13 15 20 15 18 20 12 21 11 13 18 19 12 35,37 33 9 37 17
4 13 13 29 23 10 11 13 14,14 10 12 14 20 16 18 23 11 17 11 12 17 19 9 36,40 34 10 41 19
4 13 13 29 23 10 11 14 14,14 10 12 14 19 15 16 21 11 18 11 12 17 19 9 36,40 35 10 40 21
4 13 13 29 23 10 11 14 14,14 10 12 14 19 15 16 23 11 17 11 12 17 18 9 36,40 35 10 41 20
4 13 13 29 23 10 11 14 14,14 10 12 14 19 16 17 23 11 17 11 11 16 18 9 36,40 36 10 41 20
4 14 12 28 22 11 14 13 11,21 11 13 15 20 15 16 21 12 23 11 12 19 18 11 35,36 34 9 35 20

Population samples

Population Sample Minimal PowerPlex Y Yfiler PowerPlex Y23 Yfiler Plus Maximal
Bhutan [Bhutanese] 856 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Lhasa, China [Tibetan] 2194 Haplotypes 2075 Haplotypes 2075 Haplotypes 59 Haplotypes 59 Haplotypes 59 Haplotypes
Nepal [Nepalese] 768 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Yunnan, China [Yi] 563 Haplotypes 463 Haplotypes 463 Haplotypes 397 Haplotypes 463 Haplotypes 397 Haplotypes
Qinghai, China [Tibetan] 796 Haplotypes 794 Haplotypes 790 Haplotypes 103 Haplotypes 614 Haplotypes 103 Haplotypes
Tripura, India [Riang] 67 Haplotypes 67 Haplotypes 67 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Tripura, India [Tripuri] 65 Haplotypes 65 Haplotypes 65 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
West Bengal, India [Dhimal] 33 Haplotypes 33 Haplotypes 33 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Nepal [Tamang] 45 Haplotypes 45 Haplotypes 45 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Nepal [Newar] 66 Haplotypes 66 Haplotypes 66 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Kathmandu, Nepal [Nepalese] 77 Haplotypes 77 Haplotypes 77 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
West Bengal, India [Rabha] 22 Haplotypes 22 Haplotypes 22 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
French Guiana [Hmong] 33 Haplotypes 33 Haplotypes 33 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Amdo, China [Tibetan] 88 Haplotypes 88 Haplotypes 88 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Kham, China [Tibetan] 109 Haplotypes 109 Haplotypes 109 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Tibet, China [Tibetan] 961 Haplotypes 961 Haplotypes 961 Haplotypes 248 Haplotypes 0 Haplotypes 0 Haplotypes
Fuzhou,China [She] 152 Haplotypes 152 Haplotypes 152 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Youyang Chongqing, China [Tujia] 197 Haplotypes 197 Haplotypes 197 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Tangail, Bangladesh [Garo] 120 Haplotypes 120 Haplotypes 120 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Yunnan, China [Bai] 243 Haplotypes 243 Haplotypes 243 Haplotypes 243 Haplotypes 142 Haplotypes 142 Haplotypes
Ladakh, India [Ladakhi] 292 Haplotypes 292 Haplotypes 292 Haplotypes 69 Haplotypes 0 Haplotypes 0 Haplotypes
Assam,India [Kachari] 11 Haplotypes 11 Haplotypes 11 Haplotypes 9 Haplotypes 8 Haplotypes 6 Haplotypes
Fujian, China [She] 92 Haplotypes 92 Haplotypes 92 Haplotypes 92 Haplotypes 0 Haplotypes 0 Haplotypes
Hunan, China [Tujia] 723 Haplotypes 723 Haplotypes 723 Haplotypes 633 Haplotypes 633 Haplotypes 633 Haplotypes
Kathmandu, Nepal [Bahun] 13 Haplotypes 13 Haplotypes 13 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Kathmandu, Nepal [Chaudary] 17 Haplotypes 17 Haplotypes 17 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Kathmandu, Nepal [Gurung] 11 Haplotypes 11 Haplotypes 11 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Kathmandu, Nepal [Magar] 11 Haplotypes 11 Haplotypes 11 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Kathmandu, Nepal [Newar] 23 Haplotypes 23 Haplotypes 23 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Kathmandu, Nepal [Rai] 8 Haplotypes 8 Haplotypes 8 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Kathmandu, Nepal [Sherpa] 12 Haplotypes 12 Haplotypes 12 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Kathmandu, Nepal [Tamang] 28 Haplotypes 28 Haplotypes 28 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Sylhet, Bangladesh [Manipuri] 29 Haplotypes 29 Haplotypes 29 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Yunnan, China [Hani] 250 Haplotypes 250 Haplotypes 250 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Liangshan, China [Yi] 1043 Haplotypes 1043 Haplotypes 1043 Haplotypes 415 Haplotypes 732 Haplotypes 104 Haplotypes
Netrokona, Bangladesh [Hajong] 89 Haplotypes 89 Haplotypes 89 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Cox's Bazar, Bangladesh [Rakhine] 110 Haplotypes 110 Haplotypes 110 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Bandarban, Bangladesh [Marma] 107 Haplotypes 107 Haplotypes 107 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Hubei, China [Tujia] 391 Haplotypes 391 Haplotypes 391 Haplotypes 0 Haplotypes 391 Haplotypes 0 Haplotypes
Khagrachari, Bangladesh [Chakma] 116 Haplotypes 116 Haplotypes 116 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Khagrachari, Bangladesh [Tripura] 99 Haplotypes 99 Haplotypes 99 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Nujiang, China [Lisu] 27 Haplotypes 27 Haplotypes 27 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Guizhou, China [Yi] 217 Haplotypes 217 Haplotypes 217 Haplotypes 0 Haplotypes 217 Haplotypes 0 Haplotypes
Sichuan, China [Yi] 392 Haplotypes 392 Haplotypes 392 Haplotypes 165 Haplotypes 392 Haplotypes 165 Haplotypes
Sichuan, China [Tibetan] 688 Haplotypes 688 Haplotypes 686 Haplotypes 686 Haplotypes 686 Haplotypes 686 Haplotypes
Chamdo, China [Kham Tibetan] 172 Haplotypes 172 Haplotypes 172 Haplotypes 0 Haplotypes 172 Haplotypes 0 Haplotypes
Shigatse, China [U-Tsang Tibetan] 230 Haplotypes 230 Haplotypes 230 Haplotypes 0 Haplotypes 230 Haplotypes 0 Haplotypes
Guiyang_Guizhou, China [Yi] 408 Haplotypes 408 Haplotypes 408 Haplotypes 408 Haplotypes 408 Haplotypes 408 Haplotypes
Diqing, China [Tibetan] 35 Haplotypes 35 Haplotypes 35 Haplotypes 35 Haplotypes 35 Haplotypes 35 Haplotypes
Garzê, China [Tibetan] 53 Haplotypes 53 Haplotypes 53 Haplotypes 53 Haplotypes 53 Haplotypes 53 Haplotypes
Nagqu, China [Tibetan] 60 Haplotypes 60 Haplotypes 60 Haplotypes 60 Haplotypes 60 Haplotypes 60 Haplotypes
Ngari, China [Tibetan] 47 Haplotypes 47 Haplotypes 47 Haplotypes 47 Haplotypes 47 Haplotypes 47 Haplotypes
Nyingchi, China [Tibetan] 53 Haplotypes 53 Haplotypes 53 Haplotypes 53 Haplotypes 53 Haplotypes 53 Haplotypes
Chamdo, China [Tibetan] 60 Haplotypes 60 Haplotypes 60 Haplotypes 60 Haplotypes 60 Haplotypes 60 Haplotypes
Shannan, China [Tibetan] 59 Haplotypes 59 Haplotypes 59 Haplotypes 59 Haplotypes 59 Haplotypes 59 Haplotypes
Shigatse, China [Tibetan] 59 Haplotypes 59 Haplotypes 59 Haplotypes 59 Haplotypes 59 Haplotypes 59 Haplotypes
Aba, China [Tibetan] 55 Haplotypes 55 Haplotypes 55 Haplotypes 55 Haplotypes 55 Haplotypes 55 Haplotypes
Beichuan, China [Qiang] 698 Haplotypes 698 Haplotypes 698 Haplotypes 184 Haplotypes 184 Haplotypes 184 Haplotypes
Guizhou, China [Tujia] 246 Haplotypes 246 Haplotypes 246 Haplotypes 246 Haplotypes 246 Haplotypes 246 Haplotypes
Lhasa, China [U-Tsang Tibetan] 577 Haplotypes 577 Haplotypes 577 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Guangdong, China [She] 215 Haplotypes 215 Haplotypes 215 Haplotypes 215 Haplotypes 0 Haplotypes 0 Haplotypes
Sichuan, China [Qiang] 564 Haplotypes 564 Haplotypes 564 Haplotypes 564 Haplotypes 564 Haplotypes 564 Haplotypes
Chengdu, China [Tibetan] 95 Haplotypes 95 Haplotypes 95 Haplotypes 95 Haplotypes 95 Haplotypes 95 Haplotypes
Liangshan, China [Tibetan] 101 Haplotypes 101 Haplotypes 101 Haplotypes 101 Haplotypes 101 Haplotypes 101 Haplotypes
Shigatse, China [Sherpa] 161 Haplotypes 161 Haplotypes 161 Haplotypes 161 Haplotypes 161 Haplotypes 161 Haplotypes
Nagaland, India [Naga] 203 Haplotypes 203 Haplotypes 203 Haplotypes 203 Haplotypes 0 Haplotypes 0 Haplotypes
Yunnan, China [Lisu] 423 Haplotypes 423 Haplotypes 423 Haplotypes 423 Haplotypes 0 Haplotypes 0 Haplotypes
(Overall) 16828 Haplotypes 14983 Haplotypes 14977 Haplotypes 6200 Haplotypes 6979 Haplotypes 4535 Haplotypes

Discrete-Laplace frequency estimation (Minimal)

Release
R65
Loci included
DYS19, DYS389I, DYS389II*, DYS390, DYS391, DYS392, DYS393
Central haplotypes
41
EM converged
true
EM iterations
51
GLM method
internal_coef
Init method
pam
Per locus details
DL centers distribution (download PDF)
Table of haplotype centers (click to show/hide)
DYS19 DYS389I DYS389II* DYS390 DYS391 DYS392 DYS393
1 14 13 16 24 10 11 12
2 15 12 16 25 10 13 12
3 13 14 16 24 9 14 14
4 13 13 16 23 10 11 14
5 14 12 15 23 10 14 12
6 14 12 16 23 10 14 12
7 14 13 16 23 10 14 13
8 14 12 16 24 10 14 12
9 15 12 16 23 10 12 13
10 14 12 17 23 10 14 12
11 15 12 17 23 10 14 13
12 14 12 17 24 10 14 12
13 14 12 15 24 10 14 12
14 14 13 16 24 10 11 13
15 14 14 17 23 11 14 13
16 15 13 17 23 10 11 12
17 15 14 16 23 10 11 13
18 14 14 16 23 11 14 13
19 14 12 16 24 11 13 12
20 15 14 17 25 10 11 13
21 15 12 16 23 10 14 12
22 15 12 16 24 10 10 12
23 15 12 16 23 10 12 12
24 15 12 17 25 10 10 13
25 15 12 17 27 10 10 12
26 15 13 16 24 10 13 14
27 16 13 16 23 10 13 12
28 15 13 16 24 10 11 12
29 15 13 17 23 10 11 15
30 15 13 16 25 10 13 14
31 16 13 18 25 11 11 13
32 16 14 17 24 11 7 11
33 15 14 16 23 10 7 13
34 15 14 16 25 10 7 13
35 15 13 17 24 10 7 13
36 15 13 16 25 10 7 13
37 16 12 16 25 10 13 12
38 16 13 16 23 10 11 14
39 16 13 17 24 11 13 14
40 17 12 16 24 10 13 12
41 15 14 16 26 10 7 13

Discrete-Laplace frequency estimation (Yfiler)

Release
R65
Loci included
DYS19, DYS389I, DYS389II*, DYS390, DYS391, DYS392, DYS393, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, YGATAH4
Central haplotypes
71
EM converged
true
EM iterations
41
GLM method
internal_coef
Init method
pam
Per locus details
DL centers distribution (download PDF)
Table of haplotype centers (click to show/hide)
DYS19 DYS389I DYS389II* DYS390 DYS391 DYS392 DYS393 DYS437 DYS438 DYS439 DYS448 DYS456 DYS458 DYS635 YGATAH4
1 16 12 16 25 10 13 12 14 10 12 19 14 17 21 12
2 15 12 17 23 10 14 13 14 10 12 18 15 15 21 12
3 15 12 16 24 10 10 12 14 10 11 19 14 20 20 11
4 16 12 16 25 10 13 12 14 10 12 19 14 19 23 11
5 15 13 17 24 10 7 13 14 11 12 19 15 16 21 11
6 17 12 16 24 10 13 12 15 10 11 20 15 18 23 12
7 15 14 16 23 10 7 13 14 11 12 18 16 17 21 11
8 15 12 16 21 10 11 12 14 10 11 20 15 18 24 11
9 14 12 16 23 10 14 12 15 11 12 20 15 18 20 12
10 14 12 15 23 10 14 12 15 11 12 20 15 17 20 12
11 15 12 16 23 10 12 12 15 10 12 19 15 18 20 12
12 15 13 16 25 10 7 13 14 11 12 19 15 17 22 11
13 15 12 16 23 10 12 13 15 10 12 19 15 17 19 12
14 14 12 16 23 10 14 12 14 11 11 20 15 17 20 12
15 14 12 16 23 10 14 12 15 11 13 20 15 17 21 12
16 15 12 16 23 10 14 12 15 11 12 20 15 17 21 12
17 15 12 16 23 10 14 12 15 11 13 20 15 19 21 12
18 15 12 16 23 10 14 13 14 10 11 18 15 15 20 12
19 14 12 16 24 10 14 12 15 11 12 20 15 17 20 12
20 15 12 17 25 10 10 12 14 10 12 20 16 20 20 11
21 15 12 17 25 10 10 12 14 10 11 19 15 21 21 11
22 15 12 17 27 10 10 12 14 10 11 19 15 21 20 11
23 14 14 16 23 10 11 12 15 9 12 21 15 16 23 12
24 16 14 16 23 10 7 12 14 11 12 20 16 16 21 11
25 16 13 16 23 10 11 14 14 10 11 21 15 16 21 11
26 13 13 16 23 10 11 14 14 10 12 19 15 16 22 11
27 15 13 16 23 11 13 14 14 10 11 18 15 18 23 10
28 15 13 16 23 10 11 15 14 10 11 21 15 17 21 11
29 15 13 18 23 10 13 12 14 10 11 19 15 17 21 11
30 14 13 16 24 10 11 12 14 10 10 17 15 17 21 11
31 15 13 16 24 10 13 12 15 10 12 19 15 17 21 11
32 15 13 17 24 10 11 12 14 10 10 17 15 18 21 11
33 16 13 18 25 11 11 13 14 11 10 20 15 16 23 13
34 14 14 16 24 11 14 13 14 11 12 19 15 15 24 12
35 14 14 17 23 11 14 13 14 11 11 19 15 16 22 12
36 15 14 16 25 10 7 13 14 11 12 19 15 16 21 11
37 14 14 16 23 10 14 13 14 11 11 19 16 15 23 12
38 15 14 16 23 10 12 13 14 10 11 19 15 17 21 11
39 15 13 16 24 10 13 14 14 10 12 18 15 16 21 11
40 13 13 16 24 10 14 13 13 11 13 19 15 16 22 11
41 15 14 16 25 10 7 13 14 11 11 19 16 17 21 11
42 15 14 16 26 10 7 13 14 11 12 19 16 16 21 10
43 15 14 17 25 10 11 13 14 11 10 20 15 16 23 12
44 16 13 15 22 10 13 12 14 10 11 19 16 17 20 12
45 15 12 17 23 11 14 13 14 10 11 18 17 15 19 12
46 15 13 16 25 10 7 13 14 11 12 19 16 16 21 11
47 15 14 17 24 11 13 13 14 11 11 18 16 16 20 10
48 17 14 16 23 10 11 14 14 10 13 22 16 18 21 11
49 15 14 16 25 10 7 13 14 11 12 19 16 16 21 11
50 14 12 16 23 10 14 12 15 11 12 20 15 19 20 12
51 14 12 16 24 10 14 12 15 11 12 20 15 18 20 12
52 14 12 17 24 10 14 13 15 12 13 20 15 18 20 12
53 14 12 16 24 11 13 12 15 11 12 20 16 18 21 12
54 16 12 16 24 10 13 12 15 10 11 20 15 19 22 12
55 15 13 16 25 11 13 14 14 10 12 18 15 17 22 11
56 15 13 15 25 10 13 14 14 10 12 18 15 16 22 11
57 14 13 16 23 10 15 13 14 10 11 19 15 16 21 12
58 14 13 16 23 10 10 14 16 11 11 19 15 18 25 12
59 14 13 16 24 10 11 12 14 10 10 17 15 18 21 11
60 14 12 17 24 10 11 13 15 11 11 19 14 16 19 12
61 15 13 17 23 10 11 15 14 10 11 21 15 15 21 11
62 13 14 16 24 9 14 14 14 12 11 19 16 16 22 10
63 15 13 17 22 10 11 15 14 10 10 19 15 17 18 10
64 15 13 17 23 10 11 14 14 10 11 21 15 15 21 11
65 13 12 17 23 10 12 13 15 10 11 20 14 18 19 12
66 14 13 16 23 10 14 13 14 10 12 18 15 16 19 12
67 16 13 17 24 11 13 14 14 10 12 18 15 18 21 11
68 14 13 15 23 10 14 13 14 10 12 18 14 16 22 12
69 16 14 17 24 11 7 11 14 11 12 21 16 16 20 13
70 15 12 17 24 10 13 12 15 9 11 19 15 15 20 13
71 13 13 16 23 10 11 14 14 10 12 20 16 18 23 11

* Please note that DYS389I was substracted from DYS389II

* See FAQ/Glossary (http://yhrd.org/pages/faq) for further explanations of abbreviated terms used here