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

The Tibeto-Burman Metapopulation (East Asian - Sino-Tibetan - Tibeto-Burman) consists of 13770 haplotypes (at least minimal) and 63 unique population samples.

Most common haplotypes

Count DYS19 DYS389I DYS389II DYS390 DYS391 DYS392 DYS393 DYS385
379 15 14 30 25 10 7 13 11,11
189 15 13 29 25 10 7 13 11,11
178 14 12 28 23 10 14 12 13,19
140 15 14 30 26 10 7 13 11,11
135 14 12 28 23 10 14 12 13,18
127 15 14 30 25 10 7 13 11,14
89 15 12 28 23 10 14 12 13,17
89 15 14 30 23 10 7 13 11,11
80 15 13 30 23 10 11 15 11,11
73 16 14 30 25 10 7 13 11,11
Count DYS391 DYS389I DYS439 DYS389II DYS438 DYS437 DYS19 DYS392 DYS393 DYS390 DYS385
259 10 14 12 30 11 14 15 7 13 25 11,11
141 10 13 12 29 11 14 15 7 13 25 11,11
112 10 14 12 30 11 14 15 7 13 26 11,11
106 10 14 11 30 11 14 15 7 13 25 11,14
66 10 13 11 29 10 14 15 11 15 23 11,18
62 10 14 11 30 11 14 15 7 13 25 11,11
62 10 14 12 30 11 14 15 7 13 23 11,11
59 10 12 11 29 10 14 15 10 12 27 17,17
56 10 13 11 30 10 14 15 11 15 23 11,11
55 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
61 16 14 26 30 16 15 11,11 13 10 12 21 7 10 14 11 19
54 16 14 25 30 16 15 11,11 13 10 12 21 7 11 14 11 19
41 16 14 25 30 17 15 11,14 13 10 11 21 7 11 14 11 19
35 16 13 25 29 16 15 11,11 13 10 12 21 7 11 14 11 19
32 15 13 23 29 16 14 13,13 13 10 12 19 14 12 14 10 18
32 16 14 25 30 16 16 11,11 13 10 12 21 7 11 14 11 19
29 15 13 24 29 17 14 14,19 12 11 10 21 11 11 14 10 17
28 15 13 23 29 17 15 11,18 15 10 11 21 11 12 14 10 21
27 15 14 25 30 16 15 11,11 13 10 12 21 7 11 14 11 19
26 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
7 17 13 19 30 15 10 27 12 12 11 14 19 21 24 12 7 11 13 16 11,14 15 11
6 19 14 19 30 15 10 25 13 12 11 14 19 21 24 12 7 11 12 16 11,11 15 11
5 17 12 18 27 16 11 25 12 11 10 14 20 21 23 12 14 11 13 14 13,14 16 13
5 17 13 21 29 16 10 23 13 13 10 14 16 22 23 11 11 9 15 16 11,18 15 11
5 18 13 17 30 15 10 27 13 11 10 14 18 21 24 10 11 10 12 17 14,18 15 11
4 16 12 19 28 15 10 30 13 11 10 14 21 20 24 11 10 9 12 21 16,17 14 11
4 16 13 18 29 14 10 24 12 11 10 14 19 19 23 12 14 11 13 16 13,13 15 12
4 16 13 18 29 14 10 24 12 11 10 14 20 19 23 12 14 11 13 17 13,13 15 12
4 17 12 20 28 14 10 23 12 12 11 15 19 20 23 12 14 12 12 18 14,19 15 12
4 18 13 20 29 16 10 23 12 12 11 14 19 23 25 10 12 10 13 16 11,14 15 11
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
4 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
4 17 13 21 29 21 10 17 14 11 17 11 15 24 10 11 43 18 14 14,19 30 12 10 26 36,36 11
4 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
4 17 13 21 29 22 10 18 14 11 17 10 15 24 10 11 42 18 14 14,18 30 12 11 26 36,36 11
4 19 14 21 30 20 11 16 15 11 19 10 15 24 11 7 38 19 14 11,11 30 12 12 25 37,38 12
3 15 14 24 30 20 10 18 14 11 17 10 15 24 10 11 41 18 14 14,19 30 12 10 27 36,36 11
3 16 12 20 28 21 11 16 15 12 18 10 15 23 10 14 35 19 14 13,13 32 13 11 24 35,39 11
3 16 13 19 29 20 11 16 14 12 18 10 15 23 10 14 36 18 14 13,13 32 13 12 24 36,41 11
3 16 13 19 29 22 11 16 14 12 17 10 16 23 10 14 37 21 14 13,14 32 13 11 24 35,39 11
3 16 13 20 30 18 11 21 15 11 19 10 14 24 10 10 36 20 14 16,16 32 12 11 29 38,38 12
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
4 15 14 30 24 10 7 12 11,11 11 12 14 19 15 16 21 11 25 12 13 19 19 11 37,38 30 11 38 20
3 15 12 28 23 10 14 13 13,13 10 11 14 18 15 16 20 12 24 11 12 19 16 11 35,39 32 11 35 21
3 15 12 28 23 10 14 13 13,13 10 11 14 18 15 17 20 12 24 11 13 19 17 11 35,38 30 11 36 21
3 15 12 28 25 10 7 13 11,11 11 12 14 19 17 17 21 11 26 12 12 19 18 11 37,37 31 11 38 20
3 15 12 28 25 10 10 12 16,16 10 11 14 19 15 21 20 11 28 12 11 21 20 9 35,38 33 11 33 21
3 15 13 30 24 10 10 12 16,16 10 11 14 19 14 21 20 11 29 12 11 20 16 9 38,38 32 11 36 18
3 15 13 30 24 11 10 12 16,16 10 11 14 19 14 21 20 11 29 12 11 20 16 9 38,38 32 11 36 19
3 15 14 30 25 10 7 13 11,15 11 11 14 19 15 17 21 11 29 12 12 20 16 11 37,37 28 11 38 21
3 16 13 29 27 10 13 14 17,18 10 13 14 17 15 16 22 11 22 10 13 17 19 13 36,37 29 11 42 20
3 16 14 30 25 10 7 12 11,11 11 13 14 19 15 16 21 11 25 12 13 20 19 11 37,38 31 11 37 19

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] 166 Haplotypes 66 Haplotypes 66 Haplotypes 0 Haplotypes 66 Haplotypes 0 Haplotypes
Qinghai, China [Tibetan] 738 Haplotypes 736 Haplotypes 732 Haplotypes 45 Haplotypes 556 Haplotypes 45 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] 153 Haplotypes 153 Haplotypes 153 Haplotypes 0 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] 101 Haplotypes 101 Haplotypes 101 Haplotypes 101 Haplotypes 0 Haplotypes 0 Haplotypes
Tibet, China [Tibetan] 808 Haplotypes 808 Haplotypes 808 Haplotypes 248 Haplotypes 0 Haplotypes 0 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_Sichuan, China [Yi] 939 Haplotypes 939 Haplotypes 939 Haplotypes 311 Haplotypes 628 Haplotypes 0 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] 227 Haplotypes 227 Haplotypes 227 Haplotypes 0 Haplotypes 227 Haplotypes 0 Haplotypes
Sichuan, China [Tibetan] 502 Haplotypes 502 Haplotypes 500 Haplotypes 500 Haplotypes 500 Haplotypes 500 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] 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Sichuan, China [Qiang] 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
(Overall) 14014 Haplotypes 12169 Haplotypes 12163 Haplotypes 3386 Haplotypes 5006 Haplotypes 2562 Haplotypes

Discrete-Laplace frequency estimation (Minimal)

Release
R63
Loci included
DYS19, DYS389I, DYS389II*, DYS390, DYS391, DYS392, DYS393
Central haplotypes
41
EM converged
true
EM iterations
49
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 11 11 12
2 14 12 16 24 11 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 14 12 15 24 10 14 12
12 14 13 16 24 10 11 12
13 14 13 16 24 10 11 13
14 14 14 16 24 10 14 13
15 14 14 17 23 11 14 13
16 15 13 17 24 10 11 12
17 14 14 16 23 10 10 14
18 15 14 16 23 10 11 12
19 15 12 17 23 11 14 13
20 15 12 16 23 10 14 12
21 15 12 16 24 10 10 12
22 15 12 16 23 10 12 12
23 15 12 17 25 10 10 13
24 15 12 17 24 10 13 12
25 15 12 17 27 10 10 12
26 15 13 16 25 11 13 14
27 15 14 16 23 10 13 13
28 15 13 16 23 10 11 15
29 16 13 18 25 11 11 13
30 16 14 17 24 11 7 11
31 15 14 16 23 10 7 13
32 15 14 16 25 10 7 13
33 15 13 17 24 10 7 13
34 16 14 17 25 10 11 13
35 15 13 17 23 10 11 15
36 15 13 16 25 10 7 13
37 16 12 16 25 10 13 12
38 17 12 16 24 10 13 12
39 15 13 17 24 10 13 14
40 15 13 16 23 10 11 14
41 15 14 16 26 10 7 13

Discrete-Laplace frequency estimation (Yfiler)

Release
R63
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
80
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 14 16 22 10 11 12 14 9 11 19 15 17 20 12
3 15 12 16 23 10 12 12 15 10 12 19 15 17 20 12
4 15 13 17 24 10 11 12 14 10 10 17 15 18 21 11
5 15 13 17 24 10 7 13 14 11 12 19 15 16 21 11
6 14 13 17 24 10 11 13 15 9 11 19 15 15 21 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 15 23 10 14 12 15 11 12 20 15 17 20 12
10 15 12 17 23 10 12 12 15 10 12 19 15 18 19 12
11 15 13 16 25 10 7 13 14 11 12 19 15 17 22 11
12 15 12 16 23 10 12 13 15 11 12 19 15 17 19 12
13 14 12 16 23 10 14 12 14 11 11 20 15 17 20 12
14 14 12 16 23 10 14 12 15 11 12 20 15 17 20 12
15 15 12 16 23 10 14 12 15 11 13 20 15 19 21 12
16 15 12 16 23 10 14 13 14 10 11 18 15 15 20 12
17 14 12 16 24 10 14 12 15 11 12 20 15 16 21 12
18 14 12 16 23 10 14 12 15 11 12 20 15 18 20 12
19 14 12 16 24 10 14 12 15 11 12 20 15 17 20 12
20 15 12 16 24 10 13 12 15 10 12 20 15 17 21 11
21 15 12 16 24 10 10 12 14 10 11 19 14 20 20 11
22 15 12 17 25 10 10 12 14 10 11 19 15 21 21 11
23 15 14 16 25 10 11 13 14 11 11 19 16 16 21 11
24 15 12 17 27 10 10 12 14 10 11 19 15 21 20 11
25 15 13 16 23 10 11 14 14 10 11 21 15 16 21 11
26 16 14 16 23 10 7 12 14 11 12 20 16 16 21 11
27 16 14 15 23 10 11 14 14 10 12 21 15 18 21 11
28 13 13 16 23 10 11 14 14 10 12 20 16 18 23 11
29 15 13 16 23 11 13 14 14 10 11 18 15 18 24 10
30 15 13 16 23 10 13 12 14 10 11 19 15 17 21 11
31 15 13 17 24 10 13 14 14 10 11 18 15 16 21 12
32 14 13 16 24 10 11 12 14 10 10 17 15 17 21 11
33 16 13 18 25 11 11 13 14 11 10 20 15 16 23 13
34 14 14 16 19 11 13 13 15 10 13 19 15 17 24 11
35 14 14 17 23 11 14 13 14 11 11 19 15 15 22 12
36 15 14 16 25 10 7 13 14 11 12 19 16 16 22 11
37 15 13 16 25 11 13 14 14 10 12 18 15 16 21 11
38 15 14 16 25 10 7 13 14 11 12 19 15 16 21 11
39 13 13 16 24 10 14 13 13 11 13 19 15 16 22 11
40 15 14 16 25 10 7 13 14 11 11 19 16 17 21 11
41 15 14 16 26 10 7 13 14 11 12 19 16 16 21 10
42 15 14 17 25 10 11 13 14 11 10 20 15 16 23 12
43 15 12 17 23 11 14 13 14 10 11 18 17 15 19 12
44 15 13 16 25 10 7 13 14 11 12 19 16 16 21 11
45 14 14 16 23 10 11 12 14 9 12 21 14 17 23 11
46 15 14 16 25 10 7 13 14 11 12 19 16 16 21 11
47 14 12 16 23 10 14 12 15 11 12 20 15 19 20 12
48 14 12 16 24 10 14 12 15 11 12 20 15 18 20 12
49 14 12 16 24 11 13 12 15 11 12 20 16 18 21 12
50 14 12 16 24 10 14 12 15 11 12 20 15 19 20 12
51 15 13 16 24 10 13 14 14 10 12 18 15 17 22 11
52 14 13 16 23 10 10 14 16 11 11 19 15 18 25 12
53 14 13 16 24 10 11 12 14 10 10 17 15 18 21 11
54 15 12 16 23 10 14 12 15 11 13 20 15 18 21 12
55 14 14 16 23 11 14 13 14 10 11 19 15 17 21 12
56 15 13 17 23 10 11 15 14 10 11 21 15 15 21 11
57 14 14 16 24 11 14 13 14 11 12 19 15 15 24 12
58 14 14 16 24 10 14 13 14 11 11 19 16 15 24 12
59 14 13 15 23 10 14 13 14 10 12 18 14 16 22 12
60 16 13 17 24 11 13 14 14 10 12 18 15 18 22 11
61 15 13 17 22 10 11 15 14 10 10 19 15 17 18 10
62 15 12 16 25 10 13 12 14 10 12 19 14 19 23 11
63 14 12 18 24 10 11 13 15 11 11 19 14 16 19 12
64 14 13 16 23 10 14 13 14 10 12 18 15 16 19 12
65 17 12 16 24 10 13 12 15 10 11 20 15 18 23 12
66 13 14 16 24 9 14 14 14 12 11 19 16 17 22 10
67 14 14 16 23 11 14 13 14 11 11 19 16 16 22 12
68 16 14 17 24 11 7 11 14 11 12 21 16 16 20 13
69 15 12 17 24 10 13 12 15 9 11 19 15 15 20 13
70 15 13 16 23 10 11 15 14 10 11 21 15 17 21 12
71 13 12 17 23 10 12 13 15 10 11 20 14 18 19 12

* Please note that DYS389I was substracted from DYS389II

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