Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*11:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01 | | India Northeast UCBB | 1.7722 | | 296 |
|
2 | A*32:01:01-B*48:04:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01 | | India Andhra Pradesh Telugu Speaking | 1.3441 | | 186 |
|
3 | A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.7311 | | 11,446 |
|
4 | A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | Malaysia Peninsular Indian | 0.3690 | | 271 |
|
5 | A*02:11:01-B*48:04:01-C*06:02:01-DRB1*12:02:01-DQB1*06:04:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
6 | A*32:01:01-B*48:04:01-C*04:01:01-DRB1*04:05:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
7 | A*68:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01 | | India Northeast UCBB | 0.2492 | | 296 |
|
8 | A*02:03-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01 | | India Northeast UCBB | 0.1745 | | 296 |
|
9 | A*11:01-B*48:04-C*04:03-DRB1*15:04-DQB1*05:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
10 | A*11:03-B*48:04-C*08:01-DRB1*08:02-DQB1*04:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
11 | A*24:02-B*48:04-C*08:01-DRB1*12:01-DQB1*05:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
12 | A*68:01-B*48:04-C*07:02-DRB1*12:02-DQB1*03:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
13 | A*68:01-B*48:04-C*08:01-DRB1*15:04-DQB1*05:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
14 | A*02:11:01-B*48:04:01-C*03:03:01-DRB1*15:02:02-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
15 | A*32:01:01-B*48:04:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
16 | A*33:03-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01 | | USA Asian pop 2 | 0.0890 | | 1,772 |
|
17 | B*48:04-C*08:01 | | USA Asian pop 2 | 0.0800 | | 1,772 |
|
18 | A*02:03-B*48:04-C*08:01-DRB1*15:02-DQA1*05:01-DQB1*03:01-DPB1*04:02 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
19 | A*02:11-B*48:04-C*08:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
20 | A*32:01-B*48:04-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
21 | A*24:02-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0696 | | 11,446 |
|
22 | A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India West UCBB | 0.0595 | | 5,829 |
|
23 | A*02:03-B*48:04 | | USA Asian pop 2 | 0.0540 | | 1,772 |
|
24 | A*02:03-B*48:04-C*08:01-DRB1*15:01-DQB1*05:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
25 | A*24:07-B*48:04-C*08:01-DRB1*07:01-DQB1*05:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
26 | A*02:03-B*48:04-C*08:01-DRB1*14:04-DQB1*05:03 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
27 | A*11:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0433 | | 11,446 |
|
28 | A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India East UCBB | 0.0416 | | 2,403 |
|
29 | A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India Tamil Nadu | 0.0401 | | 2,492 |
|
30 | A*03:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0366 | | 11,446 |
|
31 | A*33:03-B*48:04 | | USA Asian pop 2 | 0.0310 | | 1,772 |
|
32 | A*11:01:01-B*48:04:01-C*04:03:01-DRB1*15:04-DQB1*05:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
33 | A*02:03-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01 | | India West UCBB | 0.0257 | | 5,829 |
|
34 | A*02:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0256 | | 11,446 |
|
35 | A*32:01-B*48:04-C*01:02-DRB1*11:01-DQB1*03:01 | | India South UCBB | 0.0217 | | 11,446 |
|
36 | A*01:01-B*48:04-C*08:01-DRB1*11:01-DQB1*03:01 | | India East UCBB | 0.0208 | | 2,403 |
|
37 | A*02:03-B*48:04-C*08:01-DRB1*15:01-DQB1*05:01 | | India East UCBB | 0.0208 | | 2,403 |
|
38 | A*02:03-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01 | | India East UCBB | 0.0208 | | 2,403 |
|
39 | A*02:11-B*48:04-C*07:02-DRB1*12:02-DQB1*03:01 | | India East UCBB | 0.0208 | | 2,403 |
|
40 | A*11:01-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01 | | India East UCBB | 0.0208 | | 2,403 |
|
41 | A*24:02-B*48:04-C*08:01-DRB1*14:04-DQB1*05:03 | | India East UCBB | 0.0208 | | 2,403 |
|
42 | A*01:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
43 | A*24:02-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
44 | A*32:01-B*48:04-C*01:02-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
45 | A*01:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0146 | | 11,446 |
|
46 | A*11:01-B*48:04-C*01:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0135 | | 11,446 |
|
47 | A*02:03-B*48:04-C*08:148-DRB1*03:01-DQB1*02:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
48 | A*02:11-B*48:04-C*03:03-DRB1*12:02-DQB1*03:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
49 | A*11:01-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
50 | A*32:01-B*48:04-C*01:02-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0098 | | 11,446 |
|
51 | A*32:01-B*48:04-C*01:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0096 | | 11,446 |
|
52 | A*68:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India West UCBB | 0.0091 | | 5,829 |
|
53 | A*32:01-B*48:04-C*01:02-DRB1*15:06-DQB1*05:02 | | India South UCBB | 0.0089 | | 11,446 |
|
54 | A*32:01-B*48:04-C*01:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0088 | | 11,446 |
|
55 | A*02:11-B*48:04-C*08:01-DRB1*11:01-DQB1*03:01 | | India South UCBB | 0.0087 | | 11,446 |
|
56 | A*31:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0087 | | 11,446 |
|
57 | A*32:01-B*48:04-C*01:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0087 | | 11,446 |
|
58 | A*02:03-B*48:04-C*01:02-DRB1*13:01-DQB1*06:03 | | India West UCBB | 0.0086 | | 5,829 |
|
59 | A*02:03-B*48:04-C*08:148-DRB1*15:02-DQB1*05:03 | | India West UCBB | 0.0086 | | 5,829 |
|
60 | A*02:03-B*48:04-C*08:148-DRB1*15:02-DQB1*06:01 | | India West UCBB | 0.0086 | | 5,829 |
|
61 | A*02:03-B*48:04-C*08:148-DRB1*15:06-DQB1*05:02 | | India West UCBB | 0.0086 | | 5,829 |
|
62 | A*24:17-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01 | | India West UCBB | 0.0086 | | 5,829 |
|
63 | A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India North UCBB | 0.0085 | | 5,849 |
|
64 | A*02:01:01-B*48:04:01-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0079 | | 5,266 |
|
65 | A*32:01-B*48:04-C*01:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0068 | | 11,446 |
|
66 | B*48:04-C*08:03 | | USA Asian pop 2 | 0.0060 | | 1,772 |
|
67 | A*01:01-B*48:04-C*01:02-DRB1*08:02-DQB1*04:02 | | India South UCBB | 0.0044 | | 11,446 |
|
68 | A*02:01-B*48:04-C*01:02-DRB1*15:02-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
69 | A*02:06-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
70 | A*02:11-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
71 | A*03:01-B*48:04-C*01:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0044 | | 11,446 |
|
72 | A*24:17-B*48:04-C*08:148-DRB1*12:69-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
73 | A*32:01-B*48:04-C*01:02-DRB1*04:01-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
74 | A*32:01-B*48:04-C*01:02-DRB1*04:05-DQB1*04:01 | | India South UCBB | 0.0044 | | 11,446 |
|
75 | A*32:01-B*48:04-C*01:02-DRB1*12:71-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
76 | A*32:01-B*48:04-C*01:02-DRB1*13:02-DQB1*06:04 | | India South UCBB | 0.0044 | | 11,446 |
|
77 | A*32:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
78 | A*32:11Q-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
79 | A*32:11Q-B*48:04-C*01:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
80 | A*33:03-B*48:04-C*01:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0044 | | 11,446 |
|
81 | A*26:01-B*48:04-DRB1*04:02 | | Israel Iraq Jews | 0.0038 | | 13,270 |
|
82 | A*02:02-B*48:04-DRB1*16:01 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
83 | A*03:01-B*48:04-DRB1*12:02 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
* 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).