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

The Chinese (Han) Metapopulation (East Asian - Sino-Tibetan - Chinese (Han)) consists of 98356 haplotypes (at least minimal) and 98 unique population samples.

Most common haplotypes

Count DYS19 DYS389I DYS389II DYS390 DYS391 DYS392 DYS393 DYS385
1004 15 12 29 23 11 14 13 13,13
701 15 12 29 23 10 14 13 13,13
675 15 12 28 23 10 14 13 13,13
660 14 12 28 23 10 14 12 13,19
646 15 12 28 23 11 14 13 13,13
464 15 12 28 23 10 12 12 12,16
400 14 12 28 24 10 14 12 13,19
384 16 12 28 25 10 13 12 12,19
373 14 12 28 24 10 14 12 13,18
372 15 12 28 23 10 12 12 12,17
Count DYS391 DYS389I DYS439 DYS389II DYS438 DYS437 DYS19 DYS392 DYS393 DYS390 DYS385
728 11 12 11 29 10 14 15 14 13 23 13,13
474 11 12 11 28 10 14 15 14 13 23 13,13
470 10 12 11 29 10 14 15 14 13 23 13,13
449 10 12 11 28 10 14 15 14 13 23 13,13
418 10 12 11 28 11 14 14 14 12 23 13,19
237 10 12 12 28 10 14 16 13 12 25 12,19
205 10 13 11 29 10 14 14 15 13 23 12,13
200 10 12 11 29 10 14 15 14 13 23 13,14
187 11 12 11 29 10 14 15 14 13 23 13,14
178 10 12 12 28 10 15 15 12 12 23 12,16
Count DYS456 DYS389I DYS390 DYS389II DYS458 DYS19 DYS385 DYS393 DYS391 DYS439 DYS635 DYS392 YGATAH4 DYS437 DYS438 DYS448
229 17 12 23 29 15 15 13,13 13 11 11 19 14 12 14 10 18
198 15 12 23 28 17 14 13,19 12 10 11 20 14 12 14 11 20
155 17 12 23 28 15 15 13,13 13 11 11 19 14 12 14 10 18
98 17 12 23 29 15 15 13,13 13 10 11 19 14 12 14 10 18
72 16 12 23 29 15 15 13,13 13 11 11 19 14 12 14 10 18
69 15 12 24 28 18 14 15,19 12 11 12 20 14 12 15 11 20
67 17 12 23 28 15 15 13,13 13 10 11 19 14 12 14 10 18
65 15 13 23 29 16 14 12,13 13 10 11 21 15 12 14 10 19
64 14 12 25 28 17 16 12,19 12 10 12 20 13 12 14 10 19
57 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 15 14 21 29 15 10 24 11 11 10 14 15 21 23 12 11 9 14 18 11,19 15 11
14 18 12 18 29 15 11 25 12 11 10 14 18 19 23 11 14 11 13 15 13,13 17 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 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
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
38 17 12 20 28 20 9 18 14 12 20 11 15 24 11 14 39 17 15 15,19 32 12 12 23 35,39 11
25 16 12 21 30 21 11 14 15 12 18 10 16 23 10 14 37 18 14 14,14 30 13 12 24 39,39 12
16 19 12 19 28 21 10 18 15 11 19 10 16 23 10 12 40 16 14 12,16 33 12 12 21 35,39 11
14 15 14 21 29 23 10 18 15 11 21 10 15 23 10 11 35 15 14 11,19 29 14 12 24 36,37 11
14 17 12 21 28 21 11 15 15 12 18 10 15 23 10 14 38 19 14 13,14 31 13 12 27 37,39 12
13 17 12 22 27 19 9 16 14 12 20 10 15 24 11 14 35 18 15 13,19 32 12 13 23 36,38 11
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
11 20 13 21 31 20 9 18 15 11 19 10 14 23 10 13 34 16 14 12,19 29 12 11 23 37,37 11
9 18 12 23 30 21 10 18 17 12 20 10 15 23 10 13 39 22 15 13,21 35 12 8 22 36,37 11
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
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
14 15 14 29 23 10 11 14 11,19 10 12 14 21 15 18 21 11 24 11 11 15 15 9 36,37 29 10 35 23
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
7 15 13 29 23 10 11 14 11,16 10 11 14 21 16 18 21 11 25 13 12 16 18 9 38,38 29 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 12 28 25 10 13 12 14,18 10 12 14 20 14 18 22 12 24 11 13 17 18 10 36,39 28 10 41 21
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 14 14 30 23 11 14 13 11,12 11 11 14 19 16 14 22 12 22 12 12 18 18 10 36,36 29 12 37 21

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] 424 Haplotypes 104 Haplotypes 104 Haplotypes 104 Haplotypes 0 Haplotypes 0 Haplotypes
Taiwan [Han] 835 Haplotypes 30 Haplotypes 30 Haplotypes 0 Haplotypes 30 Haplotypes 0 Haplotypes
Yunnan, China [Han] 5329 Haplotypes 5329 Haplotypes 5009 Haplotypes 933 Haplotypes 4949 Haplotypes 933 Haplotypes
Zhejiang, China [Han] 6936 Haplotypes 6936 Haplotypes 6936 Haplotypes 2140 Haplotypes 2237 Haplotypes 2140 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
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
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] 2224 Haplotypes 2224 Haplotypes 2224 Haplotypes 1100 Haplotypes 1971 Haplotypes 847 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
Huizhuo, 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
Huizhuo, 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] 204 Haplotypes 204 Haplotypes 204 Haplotypes 80 Haplotypes 204 Haplotypes 80 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] 340 Haplotypes 340 Haplotypes 340 Haplotypes 297 Haplotypes 340 Haplotypes 297 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] 176 Haplotypes 176 Haplotypes 176 Haplotypes 176 Haplotypes 176 Haplotypes 176 Haplotypes
Luoyang, China [Han] 2314 Haplotypes 2314 Haplotypes 2314 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Shuozhou, China [Han] 1374 Haplotypes 1374 Haplotypes 1374 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Baoding, China [Han] 1405 Haplotypes 1405 Haplotypes 1405 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Guangdong, China [Hakka Han] 260 Haplotypes 260 Haplotypes 260 Haplotypes 260 Haplotypes 0 Haplotypes 0 Haplotypes
Maoming, China [Han] 431 Haplotypes 431 Haplotypes 431 Haplotypes 0 Haplotypes 431 Haplotypes 0 Haplotypes
Sichuan, China [Hakka Han] 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
Inner Mongolia, China [Han] 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes 0 Haplotypes
(Overall) 98356 Haplotypes 96236 Haplotypes 95418 Haplotypes 25196 Haplotypes 46769 Haplotypes 19685 Haplotypes

Discrete-Laplace frequency estimation (Minimal)

Release
R65
Loci included
DYS19, DYS389I, DYS389II*, DYS390, DYS391, DYS392, DYS393
Central haplotypes
175
EM converged
true
EM iterations
230
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 15 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 13
6 14 12 16 24 10 14 12
7 14 12 16 25 10 14 12
8 14 12 17 24 10 14 12
9 14 13 17 23 10 11 12
10 14 13 16 24 10 14 12
11 14 13 17 25 10 13 12
12 15 14 16 23 10 15 13
13 15 13 16 24 10 13 14
14 15 12 16 23 10 14 13
15 15 12 16 23 10 12 12
16 15 12 17 24 10 12 12
17 15 13 17 23 10 11 14
18 15 12 17 23 10 12 12
19 15 12 17 23 10 14 13
20 15 12 17 23 11 14 13
21 15 14 16 24 11 14 13
22 15 13 18 23 10 13 12
23 15 13 19 24 10 11 14
24 15 14 15 23 10 11 14
25 15 14 16 24 10 13 14
26 15 13 16 24 10 13 12
27 16 11 16 25 11 13 12
28 16 12 16 24 10 13 12
29 16 12 17 23 10 13 12
30 16 13 15 25 10 13 12
31 16 13 16 23 10 13 12
32 16 13 16 24 10 13 12
33 17 13 16 25 10 13 12
34 16 14 18 22 10 13 12
35 17 12 15 24 10 14 12
36 17 12 17 24 10 13 12
37 15 13 17 24 10 13 14
38 16 13 16 24 11 13 14
39 14 12 15 23 10 14 12
40 14 12 16 23 10 14 12
41 14 14 16 23 10 14 13
42 14 14 16 24 11 14 12
43 14 14 17 23 10 14 13
44 15 12 16 23 10 14 12
45 15 12 16 23 11 14 13
46 15 12 16 24 11 13 12
47 15 12 18 23 10 12 12
48 15 12 18 23 10 14 13
49 15 12 16 25 11 13 12
50 16 12 16 23 10 14 13
51 16 12 16 23 10 13 12
52 16 12 16 25 10 13 12
53 17 12 17 23 11 14 13
54 15 13 15 22 10 14 12
55 16 13 16 23 10 11 15
56 16 14 17 24 10 13 12
57 17 12 16 24 10 13 14
58 16 14 15 24 10 13 14
59 14 12 15 24 10 14 12
60 13 12 16 23 10 12 12
61 14 12 16 23 10 16 12
62 14 13 16 23 10 14 13
63 15 12 15 23 10 12 12
64 15 13 16 23 10 11 14
65 15 13 16 23 11 13 13
66 15 13 16 24 10 10 12
67 15 12 16 24 10 14 12
68 15 12 18 24 10 13 12
69 15 14 16 24 10 11 16
70 15 14 18 23 10 14 13
71 17 15 13 23 10 14 15
72 15 13 17 25 10 11 13
73 16 13 16 23 10 11 14
74 15 14 16 25 11 13 15
75 17 12 16 24 10 13 12
76 16 14 16 25 11 14 13
77 12 14 16 25 11 13 13
78 13 12 15 24 10 14 13
79 13 13 17 23 10 14 13
80 13 14 16 24 6 14 14
81 15 12 16 23 11 12 12
82 15 12 16 24 10 13 12
83 14 12 17 23 10 14 12
84 14 12 17 25 10 16 13
85 14 13 15 24 11 15 13
86 14 13 17 23 11 13 11
87 14 14 17 23 10 12 13
88 15 12 16 25 11 13 14
89 15 12 15 23 10 12 13
90 15 12 16 25 10 13 12
91 15 12 16 21 10 11 12
92 15 12 16 22 10 12 12
93 15 13 16 24 12 13 15
94 15 12 17 23 11 12 12
95 15 12 17 25 10 10 12
96 15 12 17 24 10 13 15
97 15 12 18 23 11 14 13
98 15 13 16 23 10 11 15
99 15 13 16 23 10 13 14
100 15 13 16 24 10 13 13
101 15 13 17 22 10 13 12
102 15 13 17 21 10 15 13
103 14 13 16 25 10 14 13
104 15 13 17 25 12 13 13
105 15 14 16 22 10 13 13
106 16 14 15 23 10 13 13
107 17 14 16 22 10 11 15
108 15 14 17 24 10 13 13
109 15 14 17 23 10 11 15
110 16 14 18 24 10 13 14
111 16 12 15 23 11 14 13
112 16 12 16 24 11 12 12
113 16 12 17 23 10 14 12
114 16 12 17 25 10 13 12
115 16 12 18 24 11 13 12
116 16 12 19 25 11 13 12
117 16 13 17 25 10 13 14
118 16 13 17 25 11 11 13
119 16 13 17 23 10 11 15
120 16 13 18 24 10 11 13
121 17 12 16 25 10 13 12
122 17 12 17 23 10 12 12
123 17 12 17 25 10 13 12
124 13 13 16 23 10 11 14
125 16 14 18 23 11 11 14
126 15 13 15 25 10 13 14
127 16 13 17 24 10 12 12
128 16 13 17 25 11 13 13
129 16 12 17 23 10 12 14
130 17 12 18 23 10 13 12
131 16 13 17 23 11 11 13
132 14 12 18 24 10 11 13
133 16 12 15 23 10 11 14
134 13 14 17 23 10 11 13
135 15 12 15 22 11 13 12
136 15 12 14 24 11 14 13
137 16 14 17 24 9 11 13
138 13 12 18 25 10 13 13
139 16 13 15 22 11 10 12
140 16 14 17 23 10 10 14
141 17 13 16 23 10 11 13
142 13 13 18 23 9 11 14
143 14 12 22 22 10 10 13
144 15 12 17 23 11 10 13
145 15 14 16 25 10 7 13
146 17 13 18 25 11 11 13
147 14 14 16 23 11 16 14
148 14 14 15 23 10 10 15
149 15 12 18 23 10 10 14
150 15 14 17 24 9 13 14
151 16 12 18 23 10 11 15
152 17 14 18 25 10 12 13
153 17 12 15 25 11 13 13
154 14 12 16 23 11 14 10
155 16 13 16 25 10 11 15
156 17 12 16 22 10 14 12
157 15 13 16 23 10 12 14
158 16 13 20 24 10 11 14
159 15 12 16 23 10 12 10
160 14 12 16 23 11 16 13
161 16 12 16 23 10 14 10
162 13 13 16 24 6 16 14
163 13 13 16 25 10 15 12
164 15 14 18 23 11 13 12
165 12 13 14 23 11 14 13
166 13 14 21 24 10 11 13
167 15 13 21 23 9 12 12
168 19 12 16 23 11 14 13
169 15 14 15 22 10 14 12
170 13 15 16 24 6 15 13
171 16 12 18 22 9 13 12
172 13 14 18 24 9 14 14
173 15 14 18 23 10 12 15
174 14 10 19 25 9 11 11
175 17 12 16 23 11 14 9

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
175
EM converged
true
EM iterations
240
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 15 13 16 23 10 11 15 14 10 11 21 15 15 21 11
2 15 12 16 23 11 12 12 15 10 13 19 16 18 20 12
3 14 12 14 24 10 14 13 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 16 13 17 24 10 11 13 14 11 10 20 16 16 23 13
6 17 12 17 24 10 13 12 14 10 12 20 14 19 21 11
7 15 13 16 24 10 13 14 14 10 12 18 15 17 23 11
8 15 12 16 21 10 11 12 14 10 11 20 15 18 24 11
9 17 12 16 24 10 13 12 15 10 11 20 15 18 22 12
10 15 12 16 24 10 13 12 15 10 12 19 15 17 21 11
11 15 12 16 23 10 14 13 14 10 12 18 17 15 20 12
12 15 12 16 24 10 14 12 15 11 11 20 15 18 20 12
13 14 14 16 23 11 14 13 14 10 10 18 14 17 20 11
14 15 12 16 24 10 10 12 14 10 11 19 15 21 20 11
15 14 13 16 23 10 15 13 14 10 11 19 15 16 21 12
16 15 12 17 23 10 12 12 15 10 12 19 15 18 21 12
17 15 12 16 24 10 13 12 15 11 11 20 15 16 21 12
18 14 14 17 23 11 14 13 14 11 11 19 15 15 24 12
19 14 12 16 24 10 14 12 15 11 12 20 15 17 20 12
20 16 14 17 24 10 13 12 15 10 12 21 13 17 21 12
21 17 13 15 25 10 13 12 14 10 12 19 14 18 24 13
22 15 12 17 23 10 14 13 14 10 11 18 16 15 20 11
23 15 14 16 24 10 13 14 14 10 11 18 15 15 21 12
24 14 12 16 24 10 14 12 15 11 13 20 16 16 21 12
25 15 12 16 23 10 14 13 14 10 12 18 15 15 21 12
26 15 12 17 23 11 14 13 14 10 11 18 17 15 19 12
27 15 12 16 23 10 12 12 15 10 12 19 15 18 19 12
28 14 12 16 24 10 14 12 15 11 12 20 15 18 22 11
29 15 13 17 24 10 11 14 15 10 12 20 15 20 22 11
30 14 13 16 24 10 11 13 14 10 12 18 16 17 21 11
31 15 13 17 23 10 11 14 14 10 11 21 15 16 21 11
32 15 13 15 25 10 13 14 14 10 12 18 15 17 21 11
33 14 13 16 25 11 13 12 15 11 12 20 16 17 21 11
34 15 12 17 24 10 13 12 15 10 11 20 14 16 21 13
35 16 13 17 24 11 13 14 14 10 12 18 15 18 22 11
36 15 12 17 23 10 12 12 15 10 11 19 15 19 19 12
37 14 14 17 23 10 14 13 14 10 11 19 17 15 23 12
38 16 13 15 22 10 14 12 15 10 11 19 16 17 20 12
39 16 12 16 23 10 14 12 14 10 12 19 16 16 20 12
40 16 12 16 25 10 13 12 14 10 11 20 14 18 23 12
41 15 12 17 24 10 13 12 15 9 10 19 15 15 21 13
42 15 12 16 23 10 13 13 15 10 12 20 15 19 20 11
43 14 14 16 25 11 13 12 15 10 12 20 16 18 21 11
44 15 14 16 23 10 11 15 14 10 12 21 15 16 22 12
45 16 12 16 26 10 13 12 14 10 12 19 14 19 21 11
46 16 13 16 23 10 11 14 14 10 12 21 15 17 21 11
47 16 12 16 25 10 13 12 14 10 12 19 14 17 21 12
48 15 12 17 23 10 12 12 14 10 12 19 16 18 19 12
49 17 12 15 24 10 13 10 14 10 14 18 14 18 23 12
50 17 12 17 25 10 13 12 14 10 11 20 14 19 22 12
51 16 14 15 23 10 13 13 14 13 12 18 15 17 21 11
52 17 13 17 25 10 13 12 15 10 12 19 15 18 21 12
53 15 13 16 24 10 13 13 15 10 12 20 15 16 20 11
54 14 12 16 24 10 14 12 15 11 13 20 15 19 20 12
55 15 14 16 24 11 13 14 14 10 12 18 14 18 22 10
56 14 12 16 25 10 13 12 15 10 12 20 15 19 23 12
57 15 13 17 24 10 13 14 14 10 11 18 15 17 21 11
58 16 14 16 24 10 14 12 15 10 12 20 15 19 21 12
59 15 13 17 23 10 13 12 14 10 11 19 15 17 21 11
60 14 12 16 23 10 14 12 14 11 11 20 15 17 20 12
61 17 13 17 24 10 13 12 14 10 12 20 15 17 23 11
62 13 12 16 25 10 13 13 15 10 12 19 14 18 22 12
63 14 12 16 24 10 14 12 15 12 11 20 15 17 20 11
64 13 12 18 23 12 12 12 15 10 11 19 15 16 20 12
65 16 12 15 25 10 15 12 13 10 12 19 15 19 22 12
66 15 13 16 23 10 13 14 14 10 13 18 15 17 22 11
67 15 13 17 24 11 11 16 14 10 13 22 14 17 22 12
68 14 14 17 23 10 14 13 14 11 11 19 16 16 22 12
69 16 12 16 25 10 13 12 14 10 12 19 14 18 22 11
70 15 13 17 23 11 13 12 14 10 11 19 15 18 22 11
71 16 13 16 23 10 11 14 14 10 11 20 15 16 21 12
72 17 12 17 24 9 13 12 15 10 11 19 15 15 22 12
73 17 12 18 25 11 13 12 14 10 11 18 14 19 21 12
74 15 13 16 24 10 13 14 15 10 12 19 14 18 22 12
75 15 13 17 25 10 13 12 15 10 11 19 14 17 23 13
76 14 14 16 23 10 14 13 14 10 11 20 15 15 21 11
77 15 12 15 24 10 13 14 15 10 11 19 15 17 21 12
78 16 12 16 23 10 13 12 15 10 12 21 15 17 22 12
79 15 12 17 24 11 13 13 15 10 11 19 14 18 22 11
80 15 12 17 25 10 13 13 15 10 10 19 14 19 21 12
81 15 13 15 24 10 13 12 14 10 11 17 14 18 25 11
82 14 12 17 24 10 11 13 15 11 12 19 14 16 19 12
83 14 14 16 22 10 14 13 14 10 11 19 15 17 21 12
84 15 14 16 26 11 13 12 14 11 11 20 14 18 23 12
85 15 13 18 24 10 13 13 14 10 11 19 15 17 21 11
86 14 13 15 24 11 15 13 14 10 12 19 15 16 21 12
87 17 14 16 23 10 11 14 14 10 12 22 16 18 22 11
88 13 12 16 25 10 13 14 15 10 11 19 15 17 23 12
89 14 14 16 19 11 13 13 15 10 13 19 15 17 24 11
90 14 14 16 24 9 13 12 15 10 11 22 15 20 21 12
91 14 13 16 24 10 11 12 15 10 11 19 15 20 21 11
92 16 11 17 25 11 13 14 15 10 11 18 15 18 21 11
93 16 14 15 22 10 14 12 15 10 11 19 15 17 20 12
94 15 12 17 23 10 12 12 15 11 12 20 15 19 23 12
95 15 12 16 23 10 12 12 16 10 11 18 16 19 23 11
96 15 12 15 22 11 13 12 15 10 13 19 15 18 21 11
97 14 13 17 25 11 14 12 15 12 13 18 15 16 23 13
98 15 12 17 23 10 12 14 14 10 12 17 16 14 21 12
99 15 12 16 25 10 13 12 15 10 11 21 15 18 22 12
100 16 12 15 23 10 11 14 15 10 12 23 16 17 21 11
101 15 14 16 24 10 12 12 15 10 12 19 15 15 20 11
102 17 12 16 25 10 13 12 15 11 11 19 14 16 23 13
103 14 12 17 24 10 14 13 14 10 10 21 15 16 22 12
104 13 13 17 24 10 14 13 13 11 12 19 15 16 22 11
105 14 13 16 25 10 14 13 14 11 13 20 17 19 21 12
106 15 12 17 25 10 10 12 14 10 11 19 15 20 21 11
107 15 13 15 23 11 12 13 14 10 11 19 16 17 21 12
108 14 13 17 22 10 14 14 14 10 10 19 15 14 21 11
109 16 13 16 22 10 13 12 15 10 12 19 15 18 21 12
110 14 14 16 23 10 11 12 14 9 12 20 15 17 21 11
111 17 13 15 23 10 14 12 14 10 12 20 15 17 22 11
112 13 13 15 23 10 12 12 15 10 12 18 15 21 19 12
113 15 14 16 23 10 10 14 15 11 11 19 15 17 25 12
114 15 13 17 23 9 15 14 14 10 11 18 15 16 21 12
115 13 14 16 24 6 14 14 14 12 11 19 17 16 22 10
116 15 14 17 25 11 11 13 14 10 12 21 15 16 22 12
117 14 13 16 23 10 11 12 15 9 12 21 15 15 22 12
118 15 13 16 25 11 14 13 14 10 10 18 15 16 22 12
119 14 13 16 24 10 11 12 14 10 10 17 15 18 21 11
120 16 13 18 25 11 11 13 14 11 10 20 16 15 23 12
121 15 14 16 22 10 13 13 14 13 12 18 15 18 20 12
122 15 14 17 24 10 11 14 14 11 11 18 16 16 20 10
123 12 14 16 25 11 13 13 14 10 11 20 15 18 20 11
124 13 12 16 22 10 13 12 16 10 11 19 16 19 22 13
125 15 13 16 23 10 14 13 14 10 11 18 17 15 19 13
126 16 12 16 23 10 14 13 14 10 11 15 17 19 21 12
127 13 13 18 24 10 12 12 14 10 11 19 15 18 19 12
128 16 13 16 23 10 9 14 14 10 11 20 16 15 21 12
129 18 14 15 25 12 14 13 17 11 13 19 15 18 20 13
130 14 14 16 23 10 14 13 14 10 12 20 16 15 21 12
131 15 13 16 25 10 11 13 14 12 12 20 16 15 23 12
132 15 14 16 23 9 13 14 14 10 11 21 16 16 22 14
133 14 14 16 23 11 16 14 14 11 10 19 14 17 22 12
134 15 14 16 25 10 7 13 14 11 13 19 15 17 21 11
135 16 14 17 24 9 11 13 14 10 11 20 15 18 22 10
136 16 13 15 26 10 13 12 15 10 12 21 15 18 23 12
137 15 13 14 23 10 13 13 14 13 13 18 15 17 20 12
138 14 13 16 24 11 13 12 15 12 12 19 15 16 23 12
139 15 12 16 23 10 12 12 15 12 12 19 15 17 20 11
140 14 12 16 22 10 14 11 15 11 12 19 16 15 24 12
141 13 12 16 24 10 14 12 15 11 14 20 13 17 21 11
142 14 13 18 24 10 11 13 15 10 13 20 15 17 22 11
143 15 12 18 25 10 13 12 14 7 12 20 14 16 22 12
144 13 13 16 23 10 11 14 14 10 12 20 16 18 23 11
145 15 13 16 24 10 9 12 14 10 10 17 15 18 23 11
146 16 12 18 25 11 11 13 14 11 10 20 18 16 23 13
147 14 14 14 23 11 14 12 14 10 11 21 16 15 20 13
148 14 14 15 23 10 14 14 14 10 12 18 14 16 24 12
149 15 14 16 20 9 11 17 15 10 11 21 15 16 22 12
150 13 13 15 23 10 16 13 14 11 12 22 16 17 23 11
151 15 13 16 23 11 14 11 14 11 12 19 15 15 22 12
152 14 15 13 23 10 14 14 14 10 10 19 15 18 22 12
153 15 12 17 25 10 14 12 14 12 12 19 15 19 20 11
154 13 13 15 24 9 15 14 14 11 11 20 15 18 21 9
155 17 13 16 23 10 13 9 14 10 11 19 14 18 22 12
156 13 14 15 24 9 15 14 14 11 11 19 15 18 22 10
157 16 14 17 23 9 14 14 14 11 12 19 19 16 21 11
158 15 13 16 24 10 12 12 14 10 12 19 17 20 20 11
159 14 13 17 27 10 11 12 14 10 13 19 15 21 20 11
160 13 14 16 22 10 15 13 14 11 12 19 15 17 22 10
161 15 13 17 23 10 11 12 14 9 11 19 15 16 21 11
162 13 14 17 24 10 14 15 15 11 11 20 17 17 22 12
163 15 12 17 22 10 11 14 16 10 11 21 15 17 21 12
164 16 14 17 23 10 14 13 15 10 12 21 17 16 22 12
165 17 12 18 23 10 13 12 15 10 8 20 15 18 23 12
166 15 13 16 25 11 13 15 14 10 11 18 16 12 20 11
167 16 14 15 25 11 13 14 14 10 11 17 15 18 25 11
168 14 12 15 23 10 14 10 15 11 12 18 16 16 27 15
169 14 12 16 25 10 14 11 16 11 12 20 16 18 20 13
170 17 12 17 28 10 13 12 15 10 11 20 15 16 23 11
171 15 12 16 25 11 13 14 15 10 12 22 17 18 21 12
172 14 13 14 24 11 15 12 15 8 12 20 15 20 20 13
173 15 12 16 23 10 16 13 14 10 11 18 17 13 21 10
174 9 13 16 24 9 14 14 14 12 11 19 16 18 23 10
175 13 12 18 25 6 14 12 14 12 11 19 18 17 22 9

* Please note that DYS389I was substracted from DYS389II

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