Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24:02-B*51:01-DRB1*14:04 | | Malaysia Kedah Kensiu | 4.7600 | | 21 |
|
2 | A*24:07-B*51:01-DRB1*14:04 | | Malaysia Kedah Kensiu | 4.7600 | | 21 |
|
3 | A*11:01-B*51:01-C*14:02-DRB1*14:04 | | China Southwest Dai | 2.8000 | | 124 |
|
4 | A*11:01-B*51:01-DRB1*14:04 | | China Southwest Dai | 2.8000 | | 124 |
|
5 | B*51:01-C*14:02-DRB1*14:04 | | China Southwest Dai | 2.8000 | | 124 |
|
6 | A*74:01-B*51:01-DRB1*14:04 | | Malaysia Kelantan | 1.7857 | | 28 |
|
7 | A*24:07-B*51:01-DRB1*14:04 | | Malaysia Pahang Semai | 1.3200 | | 38 |
|
8 | A*02:11:01-B*51:01:01-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01 | | India Karnataka Kannada Speaking | 0.8620 | | 174 |
|
9 | A*11:01-B*51:01-DRB1*14:04 | | Israel Iraq Jews | 0.6740 | | 13,270 |
|
10 | A*68:01:02:02-B*51:01:01:01-C*07:04:01-DRB1*14:04:01-DQB1*05:03:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
11 | A*24:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03 | | Malaysia Peninsular Indian | 0.3690 | | 271 |
|
12 | A*33:03:01-B*51:01:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
13 | A*01:01:01-B*51:01:01-C*03:02:02-DRB1*14:04:01-DQB1*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
14 | A*03:01:01-B*51:01:01-C*07:01:01-DRB1*14:04:01-DQB1*06:01:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
15 | A*03:01:01-B*51:01:01-C*15:04:01-DRB1*14:04:01-DQB1*05:01:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
16 | A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | Malaysia Peninsular Malay | 0.2629 | | 951 |
|
17 | A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | USA Asian pop 2 | 0.1780 | | 1,772 |
|
18 | A*02:11-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.1711 | | 11,446 |
|
19 | A*31:12-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03 | | India Northeast UCBB | 0.1689 | | 296 |
|
20 | A*68:152-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Northeast UCBB | 0.1689 | | 296 |
|
21 | A*74:01-B*51:01-C*14:02-DRB1*14:04 | | Hong Kong Chinese BMDR | 0.1448 | | 7,595 |
|
22 | A*02:11-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.1408 | | 2,492 |
|
23 | A*24:02-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.1402 | | 2,492 |
|
24 | A*02:11-B*51:01-C*07:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
25 | A*02:11-B*51:01-C*14:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
26 | A*03:01:01-B*51:01:01-C*16:02:01-DRB1*14:04:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
27 | A*24:02:01-B*51:01:01-C*16:02:01-DRB1*14:04:01-DQB1*05:03:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
28 | A*31:01:02-B*51:01:01-C*07:04:01-DRB1*14:04:01-DQB1*06:09:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
29 | A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Central UCBB | 0.0988 | | 4,204 |
|
30 | A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0945 | | 2,492 |
|
31 | A*11:01-B*51:01-C*14:02-DRB1*14:04 | | Hong Kong Chinese BMDR | 0.0917 | | 7,595 |
|
32 | A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0907 | | 5,829 |
|
33 | A*11:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0901 | | 11,446 |
|
34 | A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India Central UCBB | 0.0823 | | 4,204 |
|
35 | A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India North UCBB | 0.0809 | | 5,849 |
|
36 | A*24:02-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0780 | | 11,446 |
|
37 | A*68:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0705 | | 11,446 |
|
38 | A*24:02-B*51:01-C*14:02-DRB1*14:04-DQA1*01:03-DQB1*06:03-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
39 | A*24:02-B*51:01-C*16:02-DRB1*14:04-DQA1*05:01-DQB1*03:01-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
40 | A*68:01-B*51:01-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*03:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
41 | A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India North UCBB | 0.0648 | | 5,849 |
|
42 | A*11:01-B*51:01-DRB1*14:04 | | Hong Kong Chinese cord blood registry | 0.0645 | | 3,892 |
|
43 | A*11:01:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0637 | | 5,266 |
|
44 | A*01:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0636 | | 5,829 |
|
45 | A*03:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India East UCBB | 0.0624 | | 2,403 |
|
46 | A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India East UCBB | 0.0624 | | 2,403 |
|
47 | A*02:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Central UCBB | 0.0576 | | 4,204 |
|
48 | A*11:01:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01 | | China Zhejiang Han | 0.0536 | | 1,734 |
|
49 | A*26:01-B*51:01-DRB1*14:04 | | Israel Iraq Jews | 0.0535 | | 13,270 |
|
50 | A*11:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
51 | A*74:01-B*51:01-DRB1*14:04 | | Hong Kong Chinese cord blood registry | 0.0514 | | 3,892 |
|
52 | A*03:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India North UCBB | 0.0505 | | 5,849 |
|
53 | A*11:01-B*51:01-C*04:01-DRB1*14:04-DQB1*05:03 | | India North UCBB | 0.0503 | | 5,849 |
|
54 | B*51:01-DRB1*14:04 | | Italy pop 5 | 0.0500 | | 975 |
|
55 | A*03:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0483 | | 2,492 |
|
56 | A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India Central UCBB | 0.0471 | | 4,204 |
|
57 | A*02:02-B*51:01-DRB1*14:04 | | Israel Tunisia Jews | 0.0461 | | 9,070 |
|
58 | A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0460 | | 11,446 |
|
59 | A*02:11-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0459 | | 2,492 |
|
60 | A*68:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0445 | | 5,829 |
|
61 | A*11:01:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0443 | | 5,266 |
|
62 | A*02:03-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
63 | A*11:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
64 | A*02:11-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0429 | | 5,829 |
|
65 | A*24:02-B*51:01-C*15:04-DRB1*14:04-DQB1*05:03 | | India North UCBB | 0.0427 | | 5,849 |
|
66 | A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India East UCBB | 0.0416 | | 2,403 |
|
67 | A*01:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0414 | | 11,446 |
|
68 | A*26:01-B*51:01-C*14:02-DRB1*14:04 | | Germany DKMS - Romania minority | 0.0410 | | 1,234 |
|
69 | A*74:02:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0407 | | 5,266 |
|
70 | A*02:01-B*51:01-C*06:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0401 | | 2,492 |
|
71 | A*26:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0401 | | 2,492 |
|
72 | A*33:03-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0401 | | 2,492 |
|
73 | A*26:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India East UCBB | 0.0399 | | 2,403 |
|
74 | A*02:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0392 | | 2,492 |
|
75 | A*33:03-B*51:01-C*07:02-DRB1*14:04 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
76 | A*01:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India North UCBB | 0.0353 | | 5,849 |
|
77 | A*02:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0346 | | 11,446 |
|
78 | A*68:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0345 | | 2,492 |
|
79 | A*02:07:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01 | | China Zhejiang Han | 0.0329 | | 1,734 |
|
80 | A*26:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0326 | | 5,829 |
|
81 | A*30:01:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
82 | A*74:02:01-B*51:01:02-C*14:02:01-DRB1*14:04:01-DPB1*31:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0285 | | 5,266 |
|
83 | A*68:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0283 | | 11,446 |
|
84 | A*24:02-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0282 | | 5,829 |
|
85 | A*31:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0281 | | 11,446 |
|
86 | A*01:01-B*51:01-DRB1*14:04 | | Israel Iraq Jews | 0.0275 | | 13,270 |
|
87 | A*02:11-B*51:01-C*07:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0271 | | 11,446 |
|
88 | A*11:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0270 | | 5,829 |
|
89 | A*24:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03 | | India East UCBB | 0.0269 | | 2,403 |
|
90 | A*26:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03 | | India Central UCBB | 0.0266 | | 4,204 |
|
91 | A*11:01-B*51:01-C*01:02-DRB1*14:04 | | Germany DKMS - Greece minority | 0.0260 | | 1,894 |
|
92 | A*32:01-B*51:01-DRB1*14:04 | | Hong Kong Chinese cord blood registry | 0.0257 | | 3,892 |
|
93 | A*11:01-B*51:01-C*04:01-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0257 | | 5,829 |
|
94 | A*03:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0252 | | 5,829 |
|
95 | A*68:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03 | | India West UCBB | 0.0248 | | 5,829 |
|
96 | A*01:01-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0246 | | 2,492 |
|
97 | A*02:03-B*51:01-C*14:02-DRB1*14:04 | | Hong Kong Chinese BMDR | 0.0246 | | 7,595 |
|
98 | A*02:06-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03 | | India Tamil Nadu | 0.0238 | | 2,492 |
|
99 | A*02:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India Central UCBB | 0.0238 | | 4,204 |
|
100 | A*24:02-B*51:01-C*07:02-DRB1*14:04-DQB1*05:03 | | India Central UCBB | 0.0238 | | 4,204 |
|
* 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).