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

The Chinese (Han) Metapopulation (East Asian - Sino-Tibetan - Chinese (Han)) consists of 98868 haplotypes (at least minimal) and 98 unique population samples.

Most common haplotypes

Count DYS19 DYS389I DYS389II DYS390 DYS391 DYS392 DYS393 DYS385
1009 15 12 29 23 11 14 13 13,13
708 15 12 29 23 10 14 13 13,13
678 15 12 28 23 10 14 13 13,13
671 14 12 28 23 10 14 12 13,19
649 15 12 28 23 11 14 13 13,13
471 15 12 28 23 10 12 12 12,16
403 14 12 28 24 10 14 12 13,19
385 16 12 28 25 10 13 12 12,19
376 15 12 28 23 10 12 12 12,17
375 14 12 28 24 10 14 12 13,18
Count DYS391 DYS389I DYS439 DYS389II DYS438 DYS437 DYS19 DYS392 DYS393 DYS390 DYS385
733 11 12 11 29 10 14 15 14 13 23 13,13
476 11 12 11 28 10 14 15 14 13 23 13,13
474 10 12 11 29 10 14 15 14 13 23 13,13
451 10 12 11 28 10 14 15 14 13 23 13,13
424 10 12 11 28 11 14 14 14 12 23 13,19
238 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
181 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
230 17 12 23 29 15 15 13,13 13 11 11 19 14 12 14 10 18
203 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
99 17 12 23 29 15 15 13,13 13 10 11 19 14 12 14 10 18
73 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 14 12 25 28 17 16 12,19 12 10 12 20 13 12 14 10 19
65 15 13 23 29 16 14 12,13 13 10 11 21 15 12 14 10 19
58 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] 358 Haplotypes 358 Haplotypes 358 Haplotypes 358 Haplotypes 358 Haplotypes 358 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] 171 Haplotypes 171 Haplotypes 171 Haplotypes 171 Haplotypes 171 Haplotypes 171 Haplotypes
Inner Mongolia, China [Han] 159 Haplotypes 159 Haplotypes 159 Haplotypes 159 Haplotypes 159 Haplotypes 159 Haplotypes
(Overall) 98868 Haplotypes 96748 Haplotypes 95930 Haplotypes 25708 Haplotypes 47281 Haplotypes 20197 Haplotypes

Discrete-Laplace frequency estimation (Minimal)

Release
R66
Loci included
DYS19, DYS389I, DYS389II*, DYS390, DYS391, DYS392, DYS393
Central haplotypes
175
EM converged
true
EM iterations
174
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 14 16 24 9 14 14
4 14 13 16 22 10 14 13
5 14 12 15 24 10 14 13
6 14 12 16 24 10 15 12
7 14 12 16 24 10 14 12
8 14 12 16 24 10 14 13
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 15 25 10 13 12
13 14 13 16 23 11 14 13
14 15 12 16 24 10 13 14
15 15 12 16 23 10 14 13
16 15 12 16 23 10 12 12
17 15 12 17 22 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 13 16 24 10 13 14
22 15 14 16 24 11 14 13
23 15 13 17 24 10 13 13
24 15 13 18 24 10 11 13
25 15 13 16 23 10 11 14
26 15 13 16 23 10 14 13
27 15 14 16 24 11 13 14
28 17 12 16 24 11 13 12
29 16 12 17 23 11 13 14
30 16 12 16 24 10 13 12
31 16 13 16 25 10 13 12
32 15 13 16 22 10 13 12
33 17 13 15 25 10 13 12
34 17 12 17 24 10 13 12
35 16 13 16 24 11 13 14
36 14 12 15 23 10 14 12
37 14 12 16 23 10 14 12
38 15 12 17 25 11 13 12
39 14 14 15 23 10 15 13
40 14 14 16 23 10 14 13
41 14 14 16 25 11 13 12
42 14 14 17 23 10 14 13
43 14 14 17 23 10 15 14
44 15 13 17 22 10 13 12
45 15 12 16 23 11 14 13
46 15 12 16 24 10 13 12
47 15 12 18 23 10 12 12
48 15 12 18 23 10 14 13
49 15 14 15 23 10 11 14
50 16 12 16 23 10 14 13
51 16 12 16 25 10 13 12
52 16 12 16 23 11 14 13
53 16 13 15 22 10 14 12
54 16 13 16 24 10 11 14
55 16 14 16 24 10 14 12
56 16 13 18 23 10 13 12
57 17 13 15 25 11 13 14
58 14 12 15 24 10 14 12
59 14 12 15 25 10 14 12
60 14 14 15 22 10 14 14
61 15 12 16 23 10 13 13
62 15 12 16 25 10 10 12
63 15 12 16 24 10 14 12
64 15 12 15 22 10 13 12
65 14 13 15 24 10 14 12
66 15 13 17 23 11 14 12
67 15 13 17 23 10 11 15
68 15 13 16 25 11 13 14
69 15 14 16 23 10 13 14
70 15 14 18 24 10 13 12
71 15 14 17 24 10 11 13
72 16 13 16 23 10 11 14
73 16 13 16 23 10 11 15
74 16 13 17 25 10 13 14
75 16 12 18 25 10 13 12
76 12 14 16 25 11 13 13
77 14 12 16 24 11 12 12
78 14 13 17 22 10 14 14
79 13 14 17 25 6 14 14
80 15 12 15 24 10 15 12
81 14 12 16 22 10 14 11
82 15 12 17 25 10 13 15
83 14 13 15 21 10 15 13
84 14 13 15 26 11 13 12
85 16 12 15 23 10 12 13
86 15 12 15 24 10 12 13
87 15 12 16 25 10 13 12
88 15 12 16 21 10 11 12
89 15 12 16 21 11 14 14
90 15 12 16 23 10 13 12
91 15 13 16 24 12 13 13
92 15 12 17 23 10 13 13
93 15 12 17 23 11 12 12
94 15 12 17 24 10 12 12
95 15 12 17 24 11 14 13
96 15 13 16 23 10 11 15
97 15 13 15 24 10 13 14
98 15 13 15 24 11 14 12
99 15 12 16 25 11 13 12
100 15 13 16 24 10 13 12
101 15 13 16 24 10 14 12
102 15 13 17 24 10 13 14
103 16 13 17 25 10 11 13
104 15 13 18 25 11 11 13
105 15 14 16 24 10 13 14
106 13 14 15 24 9 15 13
107 15 14 16 24 11 11 14
108 16 14 17 24 11 13 13
109 15 14 17 22 10 14 14
110 16 12 16 23 10 14 12
111 16 12 15 24 12 13 13
112 16 12 15 25 10 13 12
113 16 12 16 23 10 13 12
114 16 12 16 25 9 13 12
115 15 12 17 25 9 13 12
116 16 12 17 26 11 13 12
117 16 13 15 24 10 13 12
118 15 13 15 25 10 14 12
119 16 13 19 23 10 12 14
120 16 14 16 24 10 13 14
121 17 12 16 25 10 14 13
122 17 13 16 23 10 11 14
123 17 12 19 25 10 13 12
124 17 14 16 23 10 11 14
125 14 14 16 26 9 13 14
126 14 14 16 23 11 16 13
127 16 14 15 23 10 12 13
128 16 12 17 23 10 12 14
129 15 13 17 23 10 15 14
130 14 13 18 25 10 13 14
131 15 12 16 27 10 13 13
132 14 12 18 24 10 11 13
133 14 13 16 23 10 15 13
134 16 11 15 24 10 13 13
135 16 12 15 23 10 11 14
136 15 13 16 23 11 10 12
137 14 14 17 23 11 11 14
138 15 12 16 25 10 14 12
139 15 15 16 22 10 13 13
140 14 12 17 22 10 14 13
141 15 13 15 23 10 13 13
142 16 13 17 23 11 13 15
143 15 14 17 23 10 11 14
144 15 15 16 24 10 11 14
145 17 13 15 24 11 13 12
146 17 13 18 24 11 13 13
147 15 14 16 25 10 7 13
148 12 14 13 22 10 13 12
149 15 12 17 24 10 12 14
150 16 13 15 25 10 13 13
151 16 14 17 24 9 11 13
152 14 12 18 23 10 10 12
153 13 14 16 24 6 14 14
154 15 14 15 20 10 14 13
155 16 13 18 24 11 11 13
156 16 12 18 24 11 13 12
157 15 12 16 24 10 15 13
158 15 13 17 25 10 11 14
159 17 12 18 23 10 13 12
160 17 13 13 25 10 13 12
161 19 12 18 23 10 14 13
162 13 13 17 25 10 16 12
163 16 13 17 22 11 11 15
164 16 14 17 23 10 11 15
165 14 12 18 23 11 12 12
166 16 12 12 24 10 13 12
167 14 13 16 24 9 10 14
168 14 14 16 25 10 11 14
169 16 12 15 24 10 13 8
170 14 12 15 27 9 14 12
171 17 13 15 25 11 14 12
172 16 12 16 28 10 13 11
173 14 14 16 19 11 13 13
174 14 13 17 23 11 13 10
175 15 13 16 21 9 11 13

Discrete-Laplace frequency estimation (Yfiler)

Release
R66
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
205
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 15 14 10 12 21 15 17 21 11
2 15 12 15 23 10 12 13 15 10 12 19 15 19 20 11
3 14 13 15 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 14 13 16 24 11 13 12 15 12 12 19 16 17 23 12
6 15 12 16 24 11 13 12 14 10 13 20 14 18 22 11
7 15 13 16 24 10 13 14 14 10 12 18 15 17 21 11
8 14 13 16 23 10 11 12 15 9 12 21 15 16 21 11
9 15 12 17 23 11 12 12 15 10 13 19 16 18 20 12
10 15 12 16 21 10 11 12 14 10 11 20 15 18 24 11
11 16 12 16 23 10 13 12 14 10 12 19 15 17 21 11
12 15 12 16 23 11 14 13 14 10 11 18 17 15 19 12
13 14 12 16 23 10 14 12 14 11 11 20 15 17 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 20 20 11
16 14 13 16 23 10 15 13 14 10 11 19 15 16 21 12
17 15 12 16 22 11 13 12 15 10 12 19 14 19 22 11
18 15 12 16 24 10 13 12 15 10 11 20 15 17 21 12
19 14 13 17 23 11 14 13 14 11 11 19 15 15 24 12
20 16 12 16 25 10 13 12 14 10 11 20 14 18 22 12
21 14 12 16 23 10 14 12 15 11 12 20 16 17 20 12
22 17 12 16 25 10 13 13 14 10 12 19 14 19 22 12
23 15 12 17 23 10 14 13 14 10 11 18 16 15 20 11
24 16 12 16 25 10 13 12 15 11 12 20 13 16 23 11
25 14 12 16 24 10 14 12 15 11 12 20 15 18 20 12
26 15 12 17 23 10 14 13 14 10 12 18 15 15 21 12
27 16 12 16 25 10 13 12 14 10 12 19 14 17 21 12
28 16 13 16 23 10 11 14 14 10 11 21 15 16 21 11
29 15 13 16 23 10 13 14 14 11 12 18 16 16 21 12
30 15 12 17 23 11 14 13 14 10 11 18 17 15 19 12
31 15 12 18 23 10 12 12 15 10 11 19 15 18 19 12
32 14 13 16 25 11 13 12 15 11 12 20 16 17 21 11
33 13 13 16 23 10 11 14 14 10 12 20 16 18 23 11
34 13 12 18 23 10 12 12 14 10 12 19 15 17 19 12
35 15 13 17 24 10 13 14 14 10 12 18 15 19 22 11
36 15 14 16 24 10 13 14 14 10 11 18 15 15 21 12
37 15 12 17 25 10 13 13 14 10 11 19 14 18 21 12
38 15 12 17 24 10 12 12 15 10 12 19 15 18 21 12
39 15 12 16 24 10 14 12 16 11 12 20 15 17 21 13
40 14 14 16 23 10 14 13 14 10 11 19 16 15 23 12
41 16 13 15 22 10 14 12 15 10 11 19 16 17 20 12
42 16 14 17 24 10 13 12 15 10 12 21 14 17 22 11
43 15 12 16 23 10 14 13 14 10 12 19 15 16 21 12
44 14 14 17 23 10 14 13 14 11 11 19 16 15 22 12
45 17 12 16 24 10 13 14 14 10 12 20 13 20 23 12
46 15 13 16 22 10 13 12 15 10 12 19 16 17 21 12
47 15 12 17 24 10 13 12 15 9 10 19 15 15 21 13
48 15 12 16 23 10 12 12 15 10 12 19 15 18 19 12
49 15 13 16 24 10 13 13 15 10 12 19 15 18 22 11
50 15 13 17 24 10 13 12 15 10 12 21 13 18 21 12
51 15 12 16 23 10 12 12 15 10 11 19 15 19 19 12
52 16 14 15 23 10 11 14 14 10 12 21 15 17 21 11
53 15 12 15 22 10 13 12 15 10 13 19 15 18 21 11
54 16 14 15 23 10 13 13 14 13 12 18 15 17 21 11
55 16 13 18 24 11 13 13 15 10 11 19 15 18 21 12
56 15 13 17 24 10 11 13 14 10 11 21 15 18 21 11
57 15 14 16 24 11 13 14 14 10 13 17 17 16 21 12
58 14 12 17 24 10 14 12 15 11 13 20 15 20 20 11
59 15 12 16 24 10 12 12 15 10 12 19 15 16 20 12
60 14 13 17 24 10 11 13 14 11 12 19 15 17 21 11
61 14 12 16 25 10 13 12 15 10 12 20 15 19 23 12
62 14 12 16 24 10 14 12 15 11 13 20 15 17 20 12
63 14 13 16 23 10 14 13 14 10 12 18 15 16 20 12
64 17 13 15 23 10 14 12 14 10 12 20 15 17 21 11
65 15 13 17 23 10 13 12 14 10 11 19 15 18 21 11
66 15 14 16 23 10 11 15 14 10 11 21 15 15 21 11
67 13 13 15 23 10 12 13 15 10 13 19 15 16 21 12
68 17 13 17 24 10 13 12 14 10 12 20 15 17 23 11
69 15 14 16 24 11 13 14 14 10 12 18 14 18 22 10
70 13 12 16 25 10 13 13 15 10 12 19 14 18 22 12
71 15 12 15 24 10 14 12 15 11 12 20 15 19 20 12
72 15 12 16 23 10 12 12 15 10 12 20 14 20 21 11
73 13 14 16 24 6 14 14 14 12 11 19 17 16 22 10
74 15 13 16 23 10 11 15 14 10 11 21 15 16 21 11
75 15 13 16 25 10 13 12 15 10 11 19 14 17 24 13
76 13 12 18 24 10 12 12 15 10 11 19 14 20 20 12
77 16 13 16 25 11 13 13 14 10 12 18 15 17 22 11
78 16 12 15 25 10 15 12 13 10 12 19 15 19 22 12
79 15 13 16 24 10 13 13 15 10 12 20 15 16 20 11
80 15 13 16 23 11 13 14 14 10 11 18 15 18 24 10
81 15 13 16 23 11 13 12 15 10 11 20 16 17 24 11
82 14 12 16 23 10 12 12 15 10 12 19 16 19 20 12
83 15 13 17 26 10 13 12 15 10 11 19 13 17 22 12
84 15 12 16 23 11 14 13 14 10 12 18 16 14 21 12
85 17 12 17 24 10 13 12 15 10 11 20 15 17 23 12
86 16 13 16 25 10 13 12 14 10 12 19 14 18 22 11
87 17 12 17 23 10 13 12 14 10 12 19 15 18 21 12
88 17 10 16 24 10 13 12 15 10 12 21 14 17 21 12
89 15 12 16 25 10 13 12 15 10 12 20 14 17 21 12
90 14 14 17 22 10 14 14 14 10 12 20 15 14 21 12
91 16 14 17 25 10 12 12 15 10 12 21 13 17 21 12
92 15 13 15 23 9 14 13 14 10 11 20 17 16 22 11
93 15 12 15 23 10 12 10 14 10 12 18 14 18 21 12
94 15 12 17 23 10 12 14 14 10 12 17 16 14 21 12
95 17 12 16 24 11 12 12 14 11 11 19 15 17 22 12
96 16 12 16 24 10 13 12 14 11 12 20 14 20 26 12
97 14 12 18 24 10 11 13 15 11 11 19 14 16 19 12
98 14 13 18 24 10 14 13 15 10 10 18 14 18 20 11
99 16 12 17 25 10 13 12 15 10 13 19 15 16 21 13
100 15 13 15 23 11 12 13 14 10 11 19 16 17 21 12
101 16 12 15 21 11 13 12 13 10 11 20 14 16 21 12
102 16 13 16 23 10 11 14 14 10 10 20 15 16 20 12
103 16 13 17 25 11 13 12 14 11 11 21 14 19 23 12
104 15 14 17 25 11 11 13 14 10 12 21 15 16 22 12
105 14 13 15 24 11 15 13 14 10 12 19 15 16 21 12
106 16 13 17 24 11 13 14 14 10 12 18 15 17 23 11
107 16 13 17 23 10 13 12 15 10 12 19 15 19 21 12
108 14 14 16 23 11 16 14 14 11 10 19 14 17 22 12
109 14 14 16 24 9 13 12 15 10 11 22 15 20 21 12
110 14 13 16 24 10 11 12 14 10 10 17 15 18 21 11
111 15 13 17 25 11 13 14 15 11 12 18 15 18 23 11
112 14 13 17 25 10 14 12 15 12 11 19 15 19 22 12
113 15 12 17 23 10 12 12 15 11 12 20 15 19 23 12
114 16 12 16 22 11 13 12 14 10 9 19 16 18 22 12
115 15 12 18 23 10 12 12 15 10 13 18 15 21 19 12
116 17 12 18 23 10 12 12 16 10 12 19 15 20 19 12
117 14 12 17 24 10 14 13 14 10 10 21 15 16 22 12
118 15 12 17 24 10 14 13 15 9 12 19 15 16 21 12
119 16 13 16 25 10 13 12 15 10 11 19 16 18 21 11
120 15 12 17 24 10 13 14 14 10 11 18 15 17 23 10
121 17 12 17 26 11 13 12 15 10 11 20 16 19 20 11
122 13 13 17 22 10 14 14 14 10 10 19 16 14 21 11
123 14 13 16 23 10 14 13 15 10 12 18 15 15 20 12
124 13 13 15 23 11 12 12 14 10 11 18 15 19 19 11
125 16 13 17 24 9 11 13 14 10 11 20 15 18 22 10
126 16 13 17 23 10 11 15 14 10 11 21 15 17 23 11
127 13 14 16 23 10 15 13 14 11 12 19 15 17 22 10
128 13 13 16 24 6 16 14 14 12 11 18 17 15 22 10
129 15 12 17 24 10 8 13 15 9 12 20 15 16 21 11
130 15 13 17 25 11 13 13 14 10 10 19 16 16 21 11
131 16 13 18 24 10 11 13 15 11 10 20 16 16 23 13
132 14 14 16 21 10 14 13 14 10 10 21 15 17 21 12
133 15 14 16 22 10 13 13 14 13 12 18 15 18 20 12
134 16 14 17 22 10 13 12 15 10 12 18 16 19 21 12
135 17 14 16 23 10 11 14 14 10 13 22 16 18 21 11
136 15 12 16 23 10 12 12 16 10 11 18 16 19 23 11
137 15 14 17 24 10 11 14 14 11 11 18 16 16 20 10
138 12 14 16 25 11 13 13 14 10 11 20 15 18 20 11
139 16 12 16 23 10 14 12 14 10 12 19 16 16 20 13
140 16 12 15 23 10 11 14 15 10 12 23 16 17 21 11
141 16 12 16 23 10 14 13 14 10 11 15 17 19 21 12
142 16 12 12 24 10 13 12 15 10 12 19 15 17 22 11
143 15 13 15 26 10 14 13 15 10 11 19 17 19 21 11
144 16 13 17 25 11 11 13 14 11 10 20 16 15 23 12
145 14 13 16 23 10 14 13 14 10 10 18 15 16 25 12
146 15 13 16 22 10 12 12 14 9 11 19 18 17 21 12
147 15 14 16 25 10 7 13 14 11 13 19 15 17 21 11
148 16 14 16 24 10 13 13 14 11 11 19 15 16 23 12
149 16 13 16 20 10 11 15 14 10 10 20 15 16 22 11
150 15 12 17 23 10 12 12 15 8 12 17 15 17 19 11
151 14 14 17 24 10 11 13 15 11 12 19 15 16 19 12
152 14 12 16 22 10 14 11 15 11 12 19 16 15 24 12
153 15 12 19 24 11 14 12 13 10 13 20 13 16 21 12
154 15 14 16 23 10 10 14 14 11 11 19 15 17 25 12
155 15 14 17 23 10 11 15 14 10 12 20 16 16 20 11
156 15 12 17 22 10 11 14 16 10 11 20 15 17 21 12
157 14 14 16 25 10 13 12 15 10 12 20 15 17 21 11
158 14 13 16 24 10 13 12 15 12 12 19 15 16 23 12
159 14 14 15 24 11 13 12 16 10 12 20 14 16 21 11
160 15 14 16 25 11 13 12 15 10 11 20 15 17 20 12
161 15 13 12 22 12 12 12 15 12 12 18 15 17 19 10
162 14 13 17 25 11 14 12 15 12 13 18 15 16 23 13
163 14 14 16 19 11 13 13 15 10 13 19 15 17 24 11
164 15 12 16 25 11 13 14 15 10 12 22 17 18 21 12
165 14 13 17 23 10 11 12 15 9 11 19 15 16 22 12
166 16 12 16 22 11 11 14 16 10 11 21 14 16 21 11
167 16 12 16 28 10 13 11 14 10 11 20 14 18 21 12
168 14 13 16 24 11 13 13 14 11 12 18 15 14 25 12
169 15 13 19 25 11 11 14 15 11 10 20 17 15 23 13
170 15 12 17 25 11 9 12 15 9 13 19 14 15 21 11
171 17 13 16 22 12 13 12 15 10 13 19 14 17 22 11
172 15 13 16 24 10 11 13 14 11 12 20 17 17 21 11
173 15 10 16 23 10 12 13 15 11 12 20 15 19 22 13
174 14 13 16 24 11 13 12 15 12 15 20 16 17 23 14
175 13 11 18 24 9 14 12 16 11 11 20 16 18 20 13

* Please note that DYS389I was substracted from DYS389II

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