Information on the East Asian - Sino-Tibetan - Chinese (Han) Metapopulation

The Chinese (Han) Metapopulation (East Asian - Sino-Tibetan - Chinese (Han)) consists of 87447 haplotypes (at least minimal) and 94 unique population samples.

Most common haplotypes

Count DYS19 DYS389I DYS389II DYS390 DYS391 DYS392 DYS393 DYS385
917 15 12 29 23 11 14 13 13,13
643 15 12 29 23 10 14 13 13,13
620 15 12 28 23 10 14 13 13,13
604 15 12 28 23 11 14 13 13,13
590 14 12 28 23 10 14 12 13,19
383 15 12 28 23 10 12 12 12,16
350 14 12 28 24 10 14 12 13,19
343 16 12 28 25 10 13 12 12,19
324 14 12 28 24 10 14 12 13,18
317 15 12 28 23 10 12 12 12,17
Count DYS391 DYS389I DYS439 DYS389II DYS438 DYS437 DYS19 DYS392 DYS393 DYS390 DYS385
673 11 12 11 29 10 14 15 14 13 23 13,13
441 11 12 11 28 10 14 15 14 13 23 13,13
430 10 12 11 29 10 14 15 14 13 23 13,13
417 10 12 11 28 10 14 15 14 13 23 13,13
373 10 12 11 28 11 14 14 14 12 23 13,19
210 10 12 12 28 10 14 16 13 12 25 12,19
182 10 12 11 29 10 14 15 14 13 23 13,14
180 11 12 11 29 10 14 15 14 13 23 13,14
172 10 13 11 29 10 14 14 15 13 23 12,13
152 11 12 11 30 10 14 15 14 13 23 13,13
Count DYS456 DYS389I DYS390 DYS389II DYS458 DYS19 DYS385 DYS393 DYS391 DYS439 DYS635 DYS392 YGATAH4 DYS437 DYS438 DYS448
204 17 12 23 29 15 15 13,13 13 11 11 19 14 12 14 10 18
180 15 12 23 28 17 14 13,19 12 10 11 20 14 12 14 11 20
141 17 12 23 28 15 15 13,13 13 11 11 19 14 12 14 10 18
92 17 12 23 29 15 15 13,13 13 10 11 19 14 12 14 10 18
64 16 12 23 29 15 15 13,13 13 11 11 19 14 12 14 10 18
61 17 12 23 28 15 15 13,13 13 10 11 19 14 12 14 10 18
60 14 12 25 28 17 16 12,19 12 10 12 20 13 12 14 10 19
60 15 13 23 29 16 14 12,13 13 10 11 21 15 12 14 10 19
54 15 14 24 30 15 15 11,19 16 10 11 21 11 11 14 10 21
54 16 12 23 28 15 15 13,13 13 11 11 19 14 12 14 10 18
Count DYS576 DYS389I DYS448 DYS389II DYS19 DYS391 DYS481 DYS549 DYS533 DYS438 DYS437 DYS570 DYS635 DYS390 DYS439 DYS392 DYS643 DYS393 DYS458 DYS385 DYS456 YGATAH4
18 18 14 21 30 15 10 25 14 13 10 14 17 21 24 11 11 8 16 15 11,19 15 11
16 19 14 19 32 15 10 23 13 12 11 14 19 24 23 11 14 10 13 15 11,12 16 12
14 18 12 20 29 14 10 23 13 11 11 14 19 20 23 11 14 11 12 17 13,19 15 12
13 19 14 21 30 15 9 24 11 12 10 14 19 22 23 11 13 11 14 16 13,17 16 14
11 16 14 21 31 15 10 23 12 10 10 15 18 21 24 12 13 11 12 17 14,19 13 11
11 18 12 18 29 15 11 25 12 11 10 14 18 19 23 11 14 11 13 15 13,13 17 12
11 18 12 20 29 16 10 23 10 12 11 15 18 20 24 12 14 11 12 18 14,19 15 11
11 18 14 21 30 15 10 25 13 13 10 14 17 21 24 11 11 8 16 15 11,19 15 11
11 19 13 21 29 16 10 25 12 12 10 14 16 20 24 10 11 9 14 16 12,19 15 12
10 18 12 19 29 15 10 26 14 12 11 15 17 21 23 11 13 11 12 16 12,18 15 12
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
13 18 14 21 30 19 11 15 15 11 21 10 15 24 10 11 38 17 14 11,19 33 16 11 25 35,38 13
9 18 14 21 30 19 11 15 15 11 21 10 15 24 10 11 38 17 14 11,19 33 16 11 25 35,38 12
7 18 14 20 30 22 10 16 14 11 18 10 14 23 10 14 37 19 14 11,12 29 14 10 21 35,35 12
7 18 14 21 30 21 11 15 15 12 18 11 15 25 10 13 36 19 14 12,18 29 15 11 25 38,41 11
7 18 14 21 30 21 11 15 15 12 18 11 15 25 10 13 36 19 14 12,18 30 15 11 25 38,41 11
7 19 12 20 28 21 10 19 15 13 19 11 15 23 10 12 38 18 15 12,17 36 13 12 22 36,40 10
7 20 14 22 30 22 10 16 13 10 19 9 16 24 12 14 38.2 18 14 12,20 30 14 11 24 38,38 12
6 17 13 21 29 19 10 19 15 11 22 10 15 25 10 11 40 16 14 12,12 28 13 11 26 39,41 12
6 18 14 20 30 21 11 18 15 12 18 10 15 22 13 13 37 20 14 9,19 29 13 12 19 35,39 11
6 18 14 21 31 22 11 15 16 11 21 10 15 23 10 11 39 16 14 11,11 30 15 11 27 36,36 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
9 15 14 30 24 10 11 16 11,19 10 11 14 21 15 15 21 11 25 13 14 17 18 8 35,38 33 11 38 19
6 15 13 29 25 10 11 13 12,12 10 11 14 22 15 19 21 11 26 12 12 16 17 10 39,41 28 10 40 19
6 16 13 29 24 10 11 14 12,19 10 10 14 21 15 16 20 12 25 12 12 16 19 9 36,38 33 10 38 22
6 16 14 31 23 10 11 15 11,11 10 11 14 21 15 15 21 11 27 12 12 16 18 8 36,36 30 11 39 22
5 14 12 27 23 11 14 12 13,18 11 13 15 20 16 19 20 11 25 12 12 18 18 10 34,40 33 9 36 19
5 14 13 29 24 10 14 12 13,14 11 12 15 20 15 19 21 11 24 11 14 19 21 10 35,38 31 10 35 19
5 15 14 30 23 9 13 14 13,17 10 11 14 21 16 16 22 14 24 12 11 19 19 11 36,38 29 12 38 21
5 16 11 28 25 11 13 13 13,18 10 11 14 18 15 18 22 11 22 11 13 15 17 12 37,39 26 10 40 21
4 14 12 29 24 10 15 12 13,18 11 12 15 20 15 19 20 12 23 11 12 19 18 11 37,39 32 9 34 20
4 14 13 30 25 11 13 12 13,17 11 12 15 20 15 17 21 11 23 10 13 19 19 12 35,41 31 10 34 22

Population samples

Population Sample Minimal PowerPlex Y Yfiler PowerPlex Y23 Yfiler Plus Maximal
Beijing, China [Han] 961 Haplotypes 961 Haplotypes 961 Haplotypes 246 Haplotypes 515 Haplotypes 0 Haplotypes
Chengdu/Luzhou, China [Han] 3516 Haplotypes 3349 Haplotypes 3349 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
England-Wales, United Kingdom [Chinese] 111 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Hangzhou, China [Han] 35 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Macau [Han Chinese] 63 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Malaysia [Han Chinese] 331 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Minnan, China [Min Han] 109 Haplotypes 109 Haplotypes 109 Haplotypes 109 Haplotypes 0 Haplotypes 0 Haplotypes
Ningxia, China [Han] 101 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Ningxia, China [Hui] 303 Haplotypes 185 Haplotypes 185 Haplotypes 100 Haplotypes 85 Haplotypes 0 Haplotypes
Reunion [Shinoi] 69 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Singapore [Han] 930 Haplotypes 610 Haplotypes 610 Haplotypes 104 Haplotypes 506 Haplotypes 0 Haplotypes
Taiwan [Han] 835 Haplotypes 30 Haplotypes 30 Haplotypes 0 Haplotypes 30 Haplotypes 0 Haplotypes
Yunnan, China [Han] 948 Haplotypes 948 Haplotypes 628 Haplotypes 0 Haplotypes 568 Haplotypes 0 Haplotypes
Zhejiang, China [Han] 6596 Haplotypes 6596 Haplotypes 6596 Haplotypes 1800 Haplotypes 1897 Haplotypes 1800 Haplotypes
Shanxi, China [Han] 1319 Haplotypes 1319 Haplotypes 1304 Haplotypes 0 Haplotypes 99 Haplotypes 0 Haplotypes
Henan/Xinxiang, China [Han] 276 Haplotypes 276 Haplotypes 276 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Xi'an, China [Han] 615 Haplotypes 615 Haplotypes 615 Haplotypes 581 Haplotypes 0 Haplotypes 0 Haplotypes
Hebei, China [Han] 433 Haplotypes 433 Haplotypes 433 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Fuzhou,China [She] 152 Haplotypes 152 Haplotypes 152 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Luzhou, China [Han] 424 Haplotypes 424 Haplotypes 424 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Liaoning, China [Northern Han] 4394 Haplotypes 4394 Haplotypes 4394 Haplotypes 3556 Haplotypes 3556 Haplotypes 3556 Haplotypes
Liaoning, China [Hui] 217 Haplotypes 217 Haplotypes 217 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Xuanwei, China [Han] 258 Haplotypes 258 Haplotypes 258 Haplotypes 258 Haplotypes 0 Haplotypes 0 Haplotypes
Gansu, China [Hui] 1510 Haplotypes 1510 Haplotypes 1507 Haplotypes 100 Haplotypes 541 Haplotypes 0 Haplotypes
Jiamusi,China [Han] 478 Haplotypes 478 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Weinan, China [Han] 416 Haplotypes 416 Haplotypes 416 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Mudanjiang, China [Han] 859 Haplotypes 859 Haplotypes 859 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
China [Han] 631 Haplotypes 631 Haplotypes 631 Haplotypes 51 Haplotypes 580 Haplotypes 0 Haplotypes
Henan, China [Han] 4216 Haplotypes 4216 Haplotypes 4216 Haplotypes 259 Haplotypes 2857 Haplotypes 0 Haplotypes
Nanyang, China [Han] 413 Haplotypes 413 Haplotypes 413 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
San Francisco, United States [Han Chinese] 25 Haplotypes 25 Haplotypes 25 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Taiwan [Hakka Han] 22 Haplotypes 22 Haplotypes 22 Haplotypes 0 Haplotypes 22 Haplotypes 0 Haplotypes
Shanghai, China [Han] 1445 Haplotypes 1445 Haplotypes 1445 Haplotypes 1360 Haplotypes 843 Haplotypes 843 Haplotypes
Cangzhou, China [Hui] 392 Haplotypes 392 Haplotypes 392 Haplotypes 392 Haplotypes 0 Haplotypes 0 Haplotypes
Fujian, China [She] 92 Haplotypes 92 Haplotypes 92 Haplotypes 92 Haplotypes 0 Haplotypes 0 Haplotypes
Jining, China [Han] 2037 Haplotypes 2037 Haplotypes 2037 Haplotypes 0 Haplotypes 877 Haplotypes 0 Haplotypes
Gansu, China [Han] 722 Haplotypes 722 Haplotypes 722 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Hunan, China [Han] 617 Haplotypes 617 Haplotypes 617 Haplotypes 310 Haplotypes 106 Haplotypes 0 Haplotypes
Guangdong, China [Han] 1623 Haplotypes 1623 Haplotypes 1623 Haplotypes 499 Haplotypes 1370 Haplotypes 246 Haplotypes
Anhui, China [Han] 3394 Haplotypes 3394 Haplotypes 3394 Haplotypes 3247 Haplotypes 3247 Haplotypes 3247 Haplotypes
Jiangsu, China [Han] 1609 Haplotypes 1609 Haplotypes 1609 Haplotypes 1325 Haplotypes 409 Haplotypes 409 Haplotypes
Jiangxi, China [Han] 1556 Haplotypes 1556 Haplotypes 1556 Haplotypes 1374 Haplotypes 1484 Haplotypes 1374 Haplotypes
Shandong, China [Han] 1318 Haplotypes 1318 Haplotypes 1318 Haplotypes 0 Haplotypes 401 Haplotypes 0 Haplotypes
Xinjiang, China [Hui] 138 Haplotypes 138 Haplotypes 138 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Jilin, China [Han] 196 Haplotypes 196 Haplotypes 196 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Guizhou, China [Han] 2161 Haplotypes 2161 Haplotypes 2161 Haplotypes 706 Haplotypes 706 Haplotypes 706 Haplotypes
Nantong, China [Han] 3195 Haplotypes 3195 Haplotypes 3195 Haplotypes 0 Haplotypes 1394 Haplotypes 0 Haplotypes
Chaoshan, China [Han] 827 Haplotypes 827 Haplotypes 827 Haplotypes 0 Haplotypes 827 Haplotypes 0 Haplotypes
Qinghai, China [Hui] 159 Haplotypes 159 Haplotypes 159 Haplotypes 90 Haplotypes 69 Haplotypes 0 Haplotypes
Bazhong, China [Han] 47 Haplotypes 47 Haplotypes 47 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Guangyuan, China [Han] 250 Haplotypes 250 Haplotypes 250 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Mianyang, China [Han] 324 Haplotypes 324 Haplotypes 324 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Ya'an, China [Han] 152 Haplotypes 152 Haplotypes 152 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Zigong, China [Han] 41 Haplotypes 41 Haplotypes 41 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Meizhou, China [Hakka Han] 567 Haplotypes 567 Haplotypes 567 Haplotypes 567 Haplotypes 0 Haplotypes 0 Haplotypes
Guangxi, China [Han] 1172 Haplotypes 1172 Haplotypes 1172 Haplotypes 0 Haplotypes 113 Haplotypes 0 Haplotypes
Huanggang, China [Han] 429 Haplotypes 429 Haplotypes 429 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Chongqing, China [Han] 1579 Haplotypes 1579 Haplotypes 1579 Haplotypes 0 Haplotypes 559 Haplotypes 0 Haplotypes
Zunyi_Guizhou, China [Han] 102 Haplotypes 102 Haplotypes 102 Haplotypes 102 Haplotypes 0 Haplotypes 0 Haplotypes
Changchun, China [Han] 2063 Haplotypes 2063 Haplotypes 2063 Haplotypes 0 Haplotypes 1037 Haplotypes 0 Haplotypes
Hainan, China [Han] 753 Haplotypes 753 Haplotypes 753 Haplotypes 0 Haplotypes 753 Haplotypes 0 Haplotypes
Shenzhen, China [Han] 136 Haplotypes 136 Haplotypes 136 Haplotypes 0 Haplotypes 136 Haplotypes 0 Haplotypes
Guanzhong, China [Han] 132 Haplotypes 132 Haplotypes 132 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Meizhou, China [Kejia] 149 Haplotypes 149 Haplotypes 149 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Leshan, China [Han] 1032 Haplotypes 1032 Haplotypes 1032 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Dongfang, China [Han] 984 Haplotypes 984 Haplotypes 984 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Dezhou, China [Han] 2101 Haplotypes 2101 Haplotypes 2101 Haplotypes 0 Haplotypes 2101 Haplotypes 0 Haplotypes
Hongkong [Han] 402 Haplotypes 402 Haplotypes 402 Haplotypes 0 Haplotypes 402 Haplotypes 0 Haplotypes
Changzhou, China [Han] 2743 Haplotypes 2743 Haplotypes 2743 Haplotypes 2743 Haplotypes 2743 Haplotypes 2743 Haplotypes
Heilongjiang, China [Han] 94 Haplotypes 94 Haplotypes 94 Haplotypes 0 Haplotypes 94 Haplotypes 0 Haplotypes
Fujian, China [Han] 124 Haplotypes 124 Haplotypes 124 Haplotypes 0 Haplotypes 124 Haplotypes 0 Haplotypes
Hulun Buir, China [Han] 402 Haplotypes 402 Haplotypes 402 Haplotypes 0 Haplotypes 402 Haplotypes 0 Haplotypes
Yongchang, China [Liqian] 90 Haplotypes 90 Haplotypes 90 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Wuhan, China [Han] 274 Haplotypes 274 Haplotypes 274 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Tianjin, China [Han] 214 Haplotypes 214 Haplotypes 214 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Zhengzhou, China [Han] 2199 Haplotypes 2199 Haplotypes 2199 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Jieyang, China [Han] 293 Haplotypes 293 Haplotypes 293 Haplotypes 293 Haplotypes 0 Haplotypes 0 Haplotypes
Henan, China [Hui] 1138 Haplotypes 1138 Haplotypes 1137 Haplotypes 0 Haplotypes 1136 Haplotypes 0 Haplotypes
Shaanxi, China [Hui] 84 Haplotypes 84 Haplotypes 84 Haplotypes 0 Haplotypes 84 Haplotypes 0 Haplotypes
Shandong, China [Hui] 48 Haplotypes 48 Haplotypes 48 Haplotypes 0 Haplotypes 48 Haplotypes 0 Haplotypes
Sichuan, China [Hui] 38 Haplotypes 38 Haplotypes 37 Haplotypes 0 Haplotypes 37 Haplotypes 0 Haplotypes
Yunnan, China [Hui] 43 Haplotypes 43 Haplotypes 43 Haplotypes 0 Haplotypes 43 Haplotypes 0 Haplotypes
Dalian, China [Han] 879 Haplotypes 879 Haplotypes 879 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Anshan, China [Han] 270 Haplotypes 270 Haplotypes 270 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Yulin, China [Han] 229 Haplotypes 229 Haplotypes 229 Haplotypes 229 Haplotypes 229 Haplotypes 229 Haplotypes
Altai, Xinjiang, China [Hui] 289 Haplotypes 289 Haplotypes 289 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Baishan, Jilin, China [Han] 4840 Haplotypes 4840 Haplotypes 4840 Haplotypes 0 Haplotypes 4840 Haplotypes 0 Haplotypes
Ningbo, China [Han] 994 Haplotypes 994 Haplotypes 994 Haplotypes 0 Haplotypes 994 Haplotypes 0 Haplotypes
Zhoushan, China [Han] 4592 Haplotypes 4592 Haplotypes 4592 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Shaanxi, China [Han] 430 Haplotypes 430 Haplotypes 430 Haplotypes 430 Haplotypes 430 Haplotypes 430 Haplotypes
Longyan, China [Han] 948 Haplotypes 948 Haplotypes 948 Haplotypes 948 Haplotypes 948 Haplotypes 948 Haplotypes
Handan, China [Han] 730 Haplotypes 730 Haplotypes 730 Haplotypes 730 Haplotypes 727 Haplotypes 727 Haplotypes
Sichuan, China [Han] 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Luoyang, China [Han] 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
(Overall) 87447 Haplotypes 85327 Haplotypes 84509 Haplotypes 22601 Haplotypes 40969 Haplotypes 17258 Haplotypes

Discrete-Laplace frequency estimation (Minimal)

Release
R63
Loci included
DYS19, DYS389I, DYS389II*, DYS390, DYS391, DYS392, DYS393
Central haplotypes
175
EM converged
true
EM iterations
127
GLM method
internal_coef
Init method
clara
Per locus details
DL centers distribution (download PDF)
Table of haplotype centers (click to show/hide)
DYS19 DYS389I DYS389II* DYS390 DYS391 DYS392 DYS393
1 13 12 18 24 10 12 12
2 13 12 16 25 10 13 13
3 13 13 16 24 9 14 14
4 13 14 16 24 9 14 14
5 14 12 14 24 10 14 12
6 14 12 16 24 10 14 12
7 14 12 15 24 11 14 12
8 14 12 16 25 10 14 12
9 14 12 17 24 10 14 12
10 14 13 16 24 10 11 12
11 14 13 16 24 10 14 12
12 14 14 16 25 11 13 12
13 14 15 16 23 10 15 13
14 15 13 16 24 10 13 14
15 15 12 15 24 10 13 13
16 15 13 16 22 10 14 13
17 15 12 16 23 10 12 12
18 15 12 16 24 10 13 12
19 14 12 17 22 10 11 12
20 15 12 17 23 10 12 12
21 15 12 17 23 10 14 13
22 15 12 17 23 11 14 13
23 15 13 16 24 11 15 13
24 15 13 17 24 10 13 13
25 15 13 19 24 10 11 14
26 15 14 16 23 10 11 15
27 14 14 16 23 10 14 13
28 15 14 16 24 11 13 14
29 15 14 16 24 10 13 12
30 16 12 16 24 11 14 12
31 16 11 17 25 11 13 14
32 17 12 15 24 10 13 12
33 16 12 18 23 11 13 12
34 16 13 15 25 11 13 12
35 16 13 16 23 10 13 12
36 16 13 17 24 10 13 12
37 16 12 16 25 10 13 12
38 16 13 17 24 11 13 14
39 14 12 15 24 10 14 12
40 14 12 16 23 10 14 12
41 14 13 18 25 10 14 12
42 14 14 17 23 11 14 13
43 14 13 16 23 10 15 13
44 15 12 15 21 10 14 12
45 15 12 16 23 10 14 13
46 15 12 16 25 11 13 12
47 15 14 17 22 10 14 12
48 15 12 18 23 10 14 13
49 16 14 15 23 10 11 14
50 16 12 15 23 11 14 13
51 16 12 16 23 10 12 12
52 16 12 16 23 11 14 14
53 16 12 16 24 9 15 12
54 16 12 17 23 10 14 13
55 16 13 15 22 10 14 12
56 16 13 16 23 10 11 14
57 16 14 16 24 10 15 12
58 17 12 16 24 10 13 14
59 17 14 16 24 10 13 12
60 13 12 16 23 10 12 12
61 14 12 16 24 10 14 13
62 14 13 16 23 11 14 13
63 14 14 16 23 11 14 14
64 15 12 15 23 10 12 12
65 15 12 16 23 10 12 13
66 15 13 16 23 11 13 13
67 15 12 16 24 10 10 12
68 15 12 16 24 10 14 12
69 15 12 16 24 10 14 13
70 16 13 15 23 10 13 12
71 15 13 15 25 10 14 12
72 15 13 16 23 10 13 14
73 15 12 16 25 10 13 12
74 15 14 16 24 10 11 16
75 16 13 17 25 10 13 14
76 15 13 18 23 10 13 12
77 15 14 17 24 10 13 14
78 15 14 17 25 11 11 13
79 15 12 16 26 10 13 12
80 15 13 15 25 11 13 14
81 17 12 17 24 10 13 12
82 17 12 17 25 10 13 12
83 16 14 17 25 11 13 13
84 13 14 16 24 10 14 14
85 14 14 17 22 10 14 14
86 13 14 16 24 6 14 14
87 13 13 15 23 10 16 13
88 15 12 16 23 11 12 12
89 14 12 16 25 10 13 15
90 14 13 15 24 11 15 13
91 15 13 16 24 10 13 12
92 15 13 17 22 10 13 12
93 14 12 18 23 10 13 13
94 14 13 16 23 11 15 14
95 15 12 15 23 10 12 13
96 15 12 16 23 10 14 12
97 15 12 16 21 10 11 12
98 15 12 16 22 11 15 13
99 15 12 17 23 11 12 12
100 15 12 17 25 10 10 12
101 15 12 18 25 10 13 12
102 15 12 17 24 10 14 15
103 15 12 20 23 10 12 12
104 15 13 14 23 10 11 15
105 16 13 15 24 11 14 12
106 15 14 16 23 11 17 14
107 16 13 17 23 10 11 14
108 15 13 17 24 10 11 13
109 15 13 17 25 10 13 12
110 15 14 16 22 10 13 13
111 15 14 16 24 10 13 14
112 15 13 17 23 9 15 14
113 14 14 16 23 10 12 14
114 15 14 17 23 10 11 15
115 16 14 18 24 10 13 14
116 16 12 15 25 11 13 13
117 16 12 16 23 10 13 12
118 15 12 19 23 12 14 13
119 16 14 16 23 11 14 13
120 16 13 16 25 10 11 13
121 15 13 19 20 11 11 14
122 16 13 19 22 10 13 12
123 16 14 15 25 10 13 14
124 17 12 15 27 10 13 12
125 17 12 16 25 10 13 12
126 17 13 15 25 11 14 12
127 15 13 16 23 10 11 14
128 13 13 16 23 10 11 14
129 15 13 16 23 11 11 14
130 14 14 16 23 11 16 14
131 15 14 16 23 11 11 14
132 17 13 17 23 10 12 12
133 16 14 15 23 10 13 13
134 13 13 15 24 10 12 14
135 15 13 18 24 9 13 14
136 16 12 15 23 10 11 14
137 14 12 16 25 10 12 12
138 14 13 18 24 11 11 13
139 15 14 16 23 11 10 12
140 15 12 15 22 11 13 12
141 14 13 17 27 10 11 12
142 15 13 17 23 10 11 15
143 13 12 16 22 10 13 12
144 14 12 16 23 8 14 12
145 15 12 16 25 12 10 12
146 15 14 16 25 10 7 13
147 13 13 16 24 9 11 13
148 16 13 18 25 11 11 13
149 16 14 15 22 10 14 12
150 15 11 18 24 11 13 13
151 15 14 13 23 10 15 12
152 17 12 18 23 10 12 12
153 16 13 18 23 12 13 13
154 14 13 16 17 10 15 13
155 14 14 15 25 10 11 13
156 15 14 15 25 10 15 13
157 13 13 16 24 6 16 14
158 15 14 17 23 12 13 14
159 15 12 16 23 12 12 13
160 15 12 17 23 12 14 8
161 16 14 14 21 10 14 12
162 16 12 12 24 10 13 12
163 15 14 18 24 12 11 13
164 16 12 17 24 10 10 12
165 16 13 16 25 11 15 11
166 15 11 23 23 11 9 13
167 17 12 15 24 11 11 12
168 14 14 17 23 10 10 14
169 13 13 16 24 10 15 12
170 15 11 17 23 11 10 14
171 16 14 15 23 12 11 14
172 13 12 16 26 11 13 14
173 13 12 18 24 11 12 13
174 15 14 16 23 14 13 14
175 13 14 19 25 9 11 15

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
175
EM converged
true
EM iterations
175
GLM method
internal_coef
Init method
clara
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 13 16 23 10 11 14 14 10 11 21 15 16 21 11
2 15 12 15 23 10 12 12 15 10 12 19 15 19 20 12
3 14 12 16 24 10 14 12 15 11 12 20 15 18 21 12
4 13 14 16 24 9 14 14 14 12 11 19 16 17 22 10
5 14 14 16 23 11 14 13 14 11 11 19 15 16 22 12
6 15 13 18 23 10 13 12 14 10 11 19 14 17 21 11
7 15 13 16 24 10 13 14 14 10 12 18 15 17 21 11
8 14 14 17 23 10 11 12 14 9 11 19 15 16 21 12
9 15 12 16 23 10 12 12 15 10 12 19 15 18 20 12
10 15 12 16 21 10 11 12 14 10 11 20 15 18 24 11
11 16 12 16 25 10 13 12 14 10 12 19 14 17 21 12
12 16 12 15 23 11 14 13 14 10 12 18 18 15 20 12
13 14 12 16 23 10 14 12 15 11 12 20 15 18 20 12
14 14 14 16 23 10 14 13 14 10 10 18 14 17 20 11
15 15 12 16 24 10 10 12 14 10 11 19 15 21 20 11
16 15 14 16 22 10 14 13 14 10 11 19 15 18 21 12
17 15 12 16 23 10 13 12 14 10 11 20 14 17 22 12
18 14 14 17 23 10 14 13 14 11 11 19 16 15 23 12
19 14 12 16 24 10 14 12 15 11 12 20 15 17 20 12
20 16 12 16 24 10 13 12 15 10 11 20 15 18 22 12
21 14 13 16 23 10 15 13 14 10 11 19 15 16 21 12
22 16 13 18 24 10 13 13 14 10 13 21 13 18 22 12
23 17 13 15 25 10 13 12 14 10 12 19 14 18 24 12
24 15 12 17 23 10 14 13 14 10 11 18 16 15 20 11
25 15 13 16 24 10 14 14 14 10 12 18 15 16 21 11
26 15 12 17 23 10 12 12 15 10 12 19 15 18 19 12
27 17 13 17 24 10 13 12 14 10 12 20 15 17 23 11
28 15 12 17 23 10 14 14 14 11 12 18 14 16 21 12
29 15 12 17 23 11 14 13 14 10 11 18 17 15 19 12
30 13 14 16 24 9 14 14 14 12 11 19 15 16 22 10
31 13 13 16 23 10 11 14 14 10 12 20 16 17 23 11
32 15 13 17 23 10 11 15 14 10 11 21 15 16 21 11
33 14 14 16 25 11 13 12 15 11 12 20 16 17 21 11
34 15 12 17 25 10 13 12 15 10 11 20 14 16 21 13
35 13 13 18 24 10 12 12 14 10 11 19 15 18 19 12
36 16 13 17 24 11 13 14 14 10 12 18 15 18 22 11
37 15 14 16 24 10 13 14 14 10 11 18 15 15 21 12
38 14 13 16 23 10 11 12 15 9 12 21 15 15 22 11
39 15 12 17 23 10 14 13 14 10 11 18 17 15 19 12
40 16 13 15 22 10 14 12 15 10 11 19 16 17 20 12
41 16 14 17 24 10 13 12 15 10 12 21 13 18 21 12
42 15 12 16 23 10 14 13 14 10 12 18 15 15 21 12
43 17 12 16 24 10 13 14 14 10 12 20 13 19 23 12
44 15 12 16 23 10 13 12 15 10 12 18 16 16 21 12
45 15 12 17 24 10 13 12 15 9 11 19 15 15 21 12
46 15 12 16 25 10 13 12 14 10 12 20 14 18 23 12
47 15 14 15 23 10 11 14 14 10 12 21 15 18 21 11
48 16 13 16 25 10 13 12 14 10 11 19 14 18 22 12
49 15 12 15 23 11 12 12 14 10 12 19 16 18 21 12
50 17 12 18 25 10 14 12 15 10 11 20 13 19 22 12
51 16 14 15 23 10 13 13 14 13 12 18 15 17 21 11
52 14 14 17 24 10 11 13 15 11 12 20 15 16 20 12
53 14 12 16 24 10 14 12 15 11 12 20 15 20 20 12
54 15 12 17 23 11 12 12 15 10 13 19 16 18 20 12
55 15 11 17 24 11 13 13 15 10 11 19 14 18 23 11
56 15 14 16 23 10 11 12 14 11 12 18 15 16 20 10
57 15 14 17 24 10 13 14 14 11 11 18 15 16 20 10
58 15 13 16 24 10 13 13 15 10 12 19 15 17 21 11
59 14 12 16 23 10 14 12 14 11 11 20 15 17 20 12
60 15 14 16 23 10 11 15 14 10 11 21 15 15 21 11
61 15 14 15 24 10 13 14 14 10 11 18 14 16 22 12
62 15 12 16 23 10 12 12 15 10 13 19 16 18 19 12
63 13 12 16 25 10 13 13 15 10 12 19 14 18 22 12
64 15 12 18 24 10 12 12 14 10 13 19 15 19 19 12
65 15 12 17 24 10 13 15 14 10 11 18 15 18 23 10
66 16 12 15 25 10 15 12 13 10 12 19 15 19 22 12
67 15 14 16 24 11 13 14 14 10 12 18 14 18 22 10
68 15 13 16 24 11 13 14 14 10 11 18 15 18 23 10
69 16 13 16 22 10 13 12 15 10 12 19 16 17 21 12
70 15 13 16 23 10 13 14 14 11 12 18 15 16 21 12
71 15 13 17 23 10 13 12 14 10 11 19 15 18 21 11
72 16 12 17 24 10 13 12 15 10 11 17 18 16 22 11
73 16 12 17 25 10 13 12 14 10 11 18 14 19 23 11
74 15 13 17 26 10 11 12 14 10 12 19 13 18 23 13
75 17 12 16 25 10 13 12 14 10 11 18 14 20 23 12
76 14 14 17 22 10 14 14 14 10 12 20 15 14 21 12
77 15 12 15 24 10 13 13 15 10 12 19 15 17 22 12
78 16 13 16 25 11 13 12 15 10 11 19 16 19 21 11
79 14 12 16 25 10 14 12 15 11 12 20 14 13 21 13
80 14 13 16 23 11 14 13 14 10 11 18 15 16 20 12
81 15 12 16 23 10 12 12 16 10 11 18 16 19 23 11
82 14 12 18 24 10 11 13 15 11 11 19 14 16 19 12
83 17 12 18 25 11 13 12 14 10 11 18 14 19 21 12
84 14 12 17 26 10 13 12 15 10 11 20 14 16 22 13
85 14 14 16 23 11 14 13 14 10 10 18 14 17 20 11
86 14 13 15 24 11 15 13 14 10 11 19 15 16 21 13
87 17 14 13 25 12 13 12 17 10 13 19 15 19 20 13
88 15 13 16 23 10 13 14 14 10 13 18 15 17 22 11
89 15 12 17 24 10 12 15 14 10 14 19 16 15 22 12
90 14 14 16 23 11 16 14 14 11 10 19 14 17 22 12
91 16 14 17 24 11 13 12 15 10 13 21 14 17 22 11
92 14 14 16 24 9 13 12 15 10 11 22 15 20 21 12
93 15 13 18 25 11 13 14 14 10 12 19 16 19 23 10
94 14 13 16 24 10 11 12 14 10 10 17 15 18 21 11
95 16 12 18 25 10 13 12 15 10 12 20 15 16 21 13
96 16 12 16 23 10 13 12 15 10 12 21 15 17 22 12
97 15 12 15 22 10 13 12 15 10 13 19 15 19 21 11
98 16 12 12 24 10 13 12 15 10 12 19 15 17 22 11
99 15 12 17 23 10 12 14 14 10 12 17 16 14 21 12
100 16 13 15 23 10 12 13 14 10 12 19 16 17 24 12
101 15 13 15 24 11 14 12 15 10 13 19 15 18 21 11
102 15 12 16 24 10 13 12 15 9 10 19 15 15 21 13
103 14 13 18 24 10 13 12 14 11 12 19 16 16 20 12
104 16 12 16 25 10 13 12 14 10 13 18 15 18 24 11
105 15 12 16 24 10 13 12 15 10 11 21 16 16 21 11
106 13 14 15 24 10 15 13 14 11 12 19 15 17 22 10
107 15 14 16 24 10 12 12 15 10 12 19 15 15 20 11
108 15 13 15 23 10 12 13 14 10 11 19 15 17 21 12
109 14 12 16 22 10 14 11 15 10 12 19 15 14 24 12
110 14 12 16 23 10 12 12 15 10 12 19 17 20 23 13
111 15 14 16 23 10 10 14 14 11 11 19 15 17 25 12
112 13 13 16 22 10 15 13 14 11 12 19 15 17 22 10
113 16 14 15 23 11 11 14 14 10 13 21 15 17 21 11
114 13 13 16 24 6 16 14 14 12 11 18 17 15 22 10
115 16 13 17 25 10 11 13 14 11 10 20 15 16 23 13
116 15 13 16 24 10 13 10 14 10 11 19 14 15 22 10
117 14 13 17 26 12 13 12 15 11 11 20 15 16 21 11
118 15 13 16 22 10 15 13 14 10 11 18 16 17 22 12
119 15 14 16 22 10 13 13 14 13 12 18 15 18 20 12
120 15 15 16 23 11 11 14 14 10 13 21 15 17 22 10
121 16 14 16 23 10 13 13 14 13 13 18 15 19 21 10
122 16 15 17 24 10 13 13 15 10 13 18 15 15 22 12
123 12 14 16 25 11 13 13 14 10 11 20 15 18 20 11
124 15 14 17 25 11 11 13 14 10 12 21 15 16 22 12
125 16 12 16 23 10 14 12 14 10 12 19 16 16 20 13
126 16 12 16 23 10 14 13 14 10 11 15 17 19 21 12
127 15 13 16 22 10 12 12 14 9 11 19 18 17 21 12
128 14 13 17 23 11 14 13 14 11 12 19 15 16 23 11
129 15 13 18 24 10 11 13 14 11 11 20 16 16 23 13
130 16 13 18 25 11 11 13 14 11 10 20 16 15 23 12
131 16 14 15 25 9 13 14 15 10 12 21 15 19 20 11
132 15 14 16 23 9 13 14 14 10 11 21 16 16 22 14
133 13 14 16 24 6 14 14 14 12 11 19 17 16 22 10
134 15 13 16 24 10 11 13 14 11 12 19 17 17 21 11
135 15 14 16 25 10 7 13 14 11 12 19 15 17 21 11
136 14 13 16 24 10 11 12 15 10 11 19 15 20 21 11
137 13 12 16 23 11 12 12 15 10 13 18 15 18 19 12
138 16 13 17 24 9 11 13 14 10 11 20 15 18 22 10
139 15 12 17 23 10 13 12 15 10 12 19 15 18 13 12
140 16 13 16 20 10 11 15 14 10 10 20 15 16 22 11
141 16 13 16 25 10 11 13 14 10 10 22 15 18 21 11
142 14 13 16 24 11 13 12 15 12 12 19 16 17 23 12
143 16 12 16 24 11 13 12 13 10 11 20 14 17 23 12
144 14 12 16 18 10 9 12 15 10 12 20 15 19 25 11
145 15 14 15 22 10 16 15 14 10 11 21 14 15 21 10
146 15 12 13 22 10 11 13 14 8 11 22 15 15 21 11
147 15 12 17 22 10 11 14 16 10 11 21 15 17 21 12
148 15 13 17 25 10 13 12 15 10 11 22 15 19 22 11
149 13 14 21 24 10 11 13 14 10 13 21 15 19 22 11
150 14 13 15 24 12 15 12 14 10 11 19 17 15 21 14
151 15 12 16 24 10 11 12 15 9 12 19 13 16 21 11
152 13 14 16 23 6 13 13 15 11 11 22 16 16 21 12
153 13 13 17 24 10 11 13 14 10 12 20 15 17 22 11
154 14 13 17 24 11 13 12 15 12 12 19 15 16 23 13
155 15 12 16 23 10 13 13 15 10 12 20 15 18 20 12
156 16 14 12 21 10 12 12 14 10 11 19 16 17 22 12
157 15 13 17 24 10 13 12 13 12 13 18 15 16 23 12
158 14 14 16 23 10 11 12 14 9 12 21 15 17 23 11
159 14 13 17 27 10 11 12 14 10 13 19 15 20 20 11
160 13 14 16 24 9 14 15 14 12 12 19 15 16 23 12
161 15 12 16 23 11 11 13 14 8 11 22 17 15 23 12
162 16 12 15 25 10 11 14 14 8 13 21 16 16 21 11
163 16 12 16 24 10 12 14 14 10 12 17 15 14 21 12
164 15 14 16 23 11 14 13 14 10 10 17 12 17 20 14
165 14 13 17 24 10 11 12 16 9 11 20 18 17 21 12
166 13 12 20 22 10 10 12 15 12 11 20 15 18 23 9
167 13 12 18 24 11 12 13 15 10 11 20 15 20 19 12
168 15 14 17 24 10 11 14 14 11 11 18 16 16 20 10
169 15 12 16 26 10 15 12 14 10 12 19 14 13 23 11
170 19 13 16 25 10 12 11 18 11 14 19 15 18 19 13
171 15 13 17 25 9 11 12 13 12 11 21 15 18 20 10
172 10 12 15 23 9 14 13 13 9 11 19 15 15 20 12
173 16 12 18 25 10 13 12 14 7 12 20 14 17 22 12
174 13 12 16 24 9 13 12 14 10 14 20 14 18 23 13
175 14 13 18 23 10 14 13 14 10 12 19 18 22 21 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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