Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*11:01-B*15:07-C*12:02-DRB1*12:02 | | China Yunnan Hani | 6.8000 | | 150 |
|
2 | A*11-B*15-C*12-DRB1*12 | | Myanmar Rakhine | 3.1250 | | 48 |
|
3 | B*15:32:01-C*12:03:01-DRB1*12:02:01 | | China Jingpo Minority | 2.6040 | | 105 |
|
4 | A*11:01-B*15:07-C*12:02-DRB1*12:02 | | China Yunnan Bulang | 2.6000 | | 116 |
|
5 | A*11:01:01-B*15:32:01-C*12:03:01-DRB1*12:02:01 | | China Jingpo Minority | 2.0830 | | 105 |
|
6 | A*11-B*15-C*12-DRB1*12 | | Myanmar Shan | 1.8520 | | 54 |
|
7 | A*11-B*15-C*12-DRB1*12 | | Myanmar Chin | 1.8180 | | 55 |
|
8 | A*02-B*15-C*12-DRB1*12 | | Myanmar Mon | 1.5620 | | 64 |
|
9 | A*02:01:01-B*15:18:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
10 | B*15:07-C*12:03:01-DRB1*12:02:01 | | China Jingpo Minority | 1.0420 | | 105 |
|
11 | A*24-B*15-C*12-DRB1*12 | | Myanmar Shan | 0.9260 | | 54 |
|
12 | A*33-B*15-C*12-DRB1*12 | | Myanmar Shan | 0.9260 | | 54 |
|
13 | A*24-B*15-C*12-DRB1*12 | | Myanmar Kachin | 0.7940 | | 63 |
|
14 | A*02-B*15-C*12-DRB1*12-DQA1*06-DQB1*03 | | Mexico Tapachula, Chiapas Mestizo Population | 0.6944 | | 72 |
|
15 | B*15-C*12-DRB1*12-DQA1*06-DQB1*03 | | Mexico Tapachula, Chiapas Mestizo Population | 0.6944 | | 72 |
|
16 | A*02:03:01-B*15:32:01-C*12:03:01-DRB1*12:02:01 | | China Jingpo Minority | 0.5210 | | 105 |
|
17 | A*11:01:01-B*15:07-C*12:03:01-DRB1*12:02:01 | | China Jingpo Minority | 0.5210 | | 105 |
|
18 | A*11:01:01-B*15:32:01-C*12:03:03-DRB1*12:02:01 | | China Jingpo Minority | 0.5210 | | 105 |
|
19 | A*24:02:01-B*15:07-C*12:03:01-DRB1*12:02:01 | | China Jingpo Minority | 0.5210 | | 105 |
|
20 | A*11:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India East UCBB | 0.1980 | | 2,403 |
|
21 | A*02:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
22 | A*11:01-B*15:450-C*12:02-DRB1*12:02-DQB1*03:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
23 | A*24:02-B*15:02-C*12:02-DRB1*12:02 | | Germany DKMS - China minority | 0.0780 | | 1,282 |
|
24 | A*24:07-B*15:13-C*12:02-DRB1*12:02-DQA1*02:01-DQB1*03:01-DPB1*01:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
25 | A*11:01-B*15:02-C*12:02-DRB1*12:01-DQB1*03:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
26 | A*24:02-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India East UCBB | 0.0517 | | 2,403 |
|
27 | A*26:01-B*15:01-C*12:03-DRB1*12:01 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
28 | A*03:01-B*15:03-C*12:03-DRB1*12:01-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
29 | A*11-B*15-C*12-DRB1*12 | | Myanmar Bamar | 0.0326 | | 46 |
|
30 | A*11-B*15-C*12-DRB1*12-DQB1*03-DPB1*09 | | Myanmar Bamar | 0.0326 | | 46 |
|
31 | A*11:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India North UCBB | 0.0256 | | 5,849 |
|
32 | A*03:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India Central UCBB | 0.0238 | | 4,204 |
|
33 | A*02:11-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India East UCBB | 0.0208 | | 2,403 |
|
34 | A*03:01-B*15:32-C*12:03-DRB1*12:02-DQB1*05:02 | | India East UCBB | 0.0208 | | 2,403 |
|
35 | A*26:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India East UCBB | 0.0208 | | 2,403 |
|
36 | A*11:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
37 | A*26:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
38 | A*68:01-B*15:01-C*12:03-DRB1*12:02-DQB1*03:01 | | India Tamil Nadu | 0.0196 | | 2,492 |
|
39 | A*11:02:01-B*15:02:01-C*12:02:02-DRB1*12:02:01-DPB1*21:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0190 | | 5,266 |
|
40 | A*33:03-B*15:01-C*12:03-DRB1*12:02-DQB1*03:01 | | India Tamil Nadu | 0.0176 | | 2,492 |
|
41 | A*11:02-B*15:02-C*12:02-DRB1*12:02 | | Hong Kong Chinese BMDR | 0.0132 | | 7,595 |
|
42 | A*02:03-B*15:02-C*12:02-DRB1*12:02 | | Hong Kong Chinese BMDR | 0.0128 | | 7,595 |
|
43 | A*68:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
44 | A*11:01-B*15:02-C*12:02-DRB1*12:02 | | Hong Kong Chinese BMDR | 0.0112 | | 7,595 |
|
45 | A*11:01-B*15:03-C*12:03-DRB1*12:01-DQB1*05:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
46 | A*68:02-B*15:03-C*12:03-DRB1*12:01-DQB1*05:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
47 | A*11-B*15-C*12-DRB1*12-DQB1*03-DPB1*26 | | Myanmar Bamar | 0.0109 | | 46 |
|
48 | A*24-B*15-C*12-DRB1*12 | | Myanmar Bamar | 0.0109 | | 46 |
|
49 | A*11:02:01-B*15:02:01-C*12:02:02-DRB1*12:02:01-DPB1*04:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0095 | | 5,266 |
|
50 | A*03:01:01-B*15:02:01-C*12:03:01-DRB1*12:02:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0093 | | 5,266 |
|
51 | A*02:03-B*15:32-C*12:03-DRB1*12:02-DQB1*05:02 | | India West UCBB | 0.0086 | | 5,829 |
|
52 | A*24:02-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India West UCBB | 0.0086 | | 5,829 |
|
53 | A*68:01-B*15:32-C*12:03-DRB1*12:02-DQB1*05:02 | | India West UCBB | 0.0086 | | 5,829 |
|
54 | A*02:06:01-B*15:02:01-C*12:02:02-DRB1*12:02:01-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0076 | | 5,266 |
|
55 | A*11:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0073 | | 11,446 |
|
56 | A*03:01-B*15:02-C*12:03-DRB1*12:02 | | Hong Kong Chinese BMDR | 0.0061 | | 7,595 |
|
57 | A*33:03-B*15:02-C*12:03-DRB1*12:02-DQB1*03:01 | | India Tamil Nadu | 0.0018 | | 2,492 |
|
58 | A*02:01-B*15:32-C*12:03-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0014 | | 11,446 |
|
59 | A*33:03-B*15:01-C*12:03-DRB1*12:01-DQB1*03:01 | | India Tamil Nadu | 0.0005960 | | 2,492 |
|
60 | A*33:03-B*15:02-C*12:03-DRB1*12:01-DQB1*03:01 | | India Tamil Nadu | 0.0005960 | | 2,492 |
|
61 | A*11-B*15-C*12-DRB1*12 | | Myanmar Kachin | 0.0000000 | | 63 |
|
* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).