Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24-B*35-C*04-DRB1*15-DQB1*05 | | Malaysia Negeri Sembilan Minangkabau | 8.8000 | | 34 |
|
2 | A*11-B*35-C*04-DRB1*15-DQB1*05-DPB1*02 | | Myanmar Kayin | 1.1360 | | 44 |
|
3 | A*24:07-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01 | | Malaysia Peninsular Malay | 0.7694 | | 951 |
|
4 | A*24:07-B*35:05-C*04:01-DRB1*15:02-DRB5*01:01-DQB1*05:02 | | USA NMDP Filipino | 0.7320 | | 50,614 |
|
5 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:02:01-DQB1*05:03:01 | | India Andhra Pradesh Telugu Speaking | 0.5376 | | 186 |
|
6 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQA1*01:01:01-DQB1*05:02-DPA1*01:03:01-DPB1*02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
7 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*05:02-DPA1*01:03:01-DPB1*04:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
8 | A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India North UCBB | 0.3075 | | 5,849 |
|
9 | A*02:01-B*35:01-C*04:01-DRB1*15:01-DQB1*05:02 | | Italy pop 5 | 0.2900 | | 975 |
|
10 | A*11:01:01-B*35:01:01-C*04:03:01-DRB1*15:02:01-DQB1*05:03:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
11 | A*02:01-B*35:12-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*05:01 | | USA San Diego | 0.2600 | | 496 |
|
12 | A*24:07-B*35:05-C*04:01-DRB1*15:04-DQB1*05:01 | | Malaysia Peninsular Chinese | 0.2577 | | 194 |
|
13 | A*24:02-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01 | | Malaysia Peninsular Malay | 0.2454 | | 951 |
|
14 | A*03:01-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01 | | Sri Lanka Colombo | 0.2101 | | 714 |
|
15 | A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India Central UCBB | 0.1966 | | 4,204 |
|
16 | A*01:01-B*35:01-C*04:07-DRB1*15:01-DQB1*05:01-DPB1*04:01 | | Panama | 0.1900 | | 462 |
|
17 | A*26:01-B*35:01-C*04:01-DRB1*15:01-DQB1*05:02-DPB1*04:02 | | Panama | 0.1900 | | 462 |
|
18 | A*01:01-B*35:03-C*04:01-DRB1*15:01-DQB1*05:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
19 | A*02:01-B*35:03-C*04:01-DRB1*15:01-DQB1*05:03 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
20 | A*02:03-B*35:01-C*04:01-DRB1*15:02-DQB1*05:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
21 | A*11:01-B*35:01-C*04:01-DRB1*15:02-DQB1*05:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
22 | A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
23 | A*24:02-B*35:01-C*04:01-DRB1*15:04-DQB1*05:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
24 | A*68:01-B*35:03-C*04:01-DRB1*15:04-DQB1*05:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
25 | A*24:02-B*35:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*02:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
26 | A*33:03-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*26:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
27 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:06:01-DQB1*05:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
28 | A*02:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India South UCBB | 0.1151 | | 11,446 |
|
29 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01-DQB1*05:01 | | Costa Rica Central Valley Mestizo (G) | 0.1131 | | 221 |
|
30 | A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India West UCBB | 0.1083 | | 5,829 |
|
31 | A*11:01-B*35:05-C*04:01-DRB1*15:02-DQB1*05:02 | | Malaysia Peninsular Malay | 0.1052 | | 951 |
|
32 | A*24:02-B*35:05-C*04:01-DRB1*15:02-DQB1*05:02 | | Malaysia Peninsular Malay | 0.1052 | | 951 |
|
33 | A*33:03-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01 | | Malaysia Peninsular Malay | 0.1052 | | 951 |
|
34 | A*03:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India North UCBB | 0.1009 | | 5,849 |
|
35 | A*24:02-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India North UCBB | 0.0958 | | 5,849 |
|
36 | A*32:01-B*35:08-C*04:01-DRB1*15:01-DQB1*05:02 | | USA Hispanic pop 2 | 0.0940 | | 1,999 |
|
37 | A*03:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India Central UCBB | 0.0842 | | 4,204 |
|
38 | A*01:01:01-B*35:01:01-C*04:01:01-DRB1*15:01-DQB1*05:01 | | Costa Rica Central Valley Mestizo (G) | 0.0727 | | 221 |
|
39 | A*02:01-B*35:01-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*15:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
40 | A*11:01-B*35:03-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*14:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
41 | A*68:01-B*35:01-C*04:01-DRB1*15:02-DQA1*01:03-DQB1*05:03-DPB1*13:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
42 | A*03:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India East UCBB | 0.0624 | | 2,403 |
|
43 | A*24:02-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India West UCBB | 0.0610 | | 5,829 |
|
44 | A*02:11-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India Tamil Nadu | 0.0591 | | 2,492 |
|
45 | A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India South UCBB | 0.0533 | | 11,446 |
|
46 | A*02:03-B*35:05-C*04:01-DRB1*15:02-DQB1*05:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
47 | A*02:06-B*35:05-C*04:01-DRB1*15:08-DQB1*05:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
48 | A*11:01-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
49 | A*24:02-B*35:01-C*04:01-DRB1*15:02-DQB1*05:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
50 | A*24:02-B*35:02-C*04:03-DRB1*15:01-DQB1*05:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
51 | A*24:02-B*35:05-C*04:01-DRB1*15:01-DQB1*05:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
52 | A*33:01-B*35:01-C*04:01-DRB1*15:02-DQB1*05:01 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
53 | A*33:03-B*35:05-C*04:24-DRB1*15:02-DQB1*05:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
54 | A*01:01-B*35:01-C*04:01-DRB1*15:01-DQB1*05:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
55 | A*24:02-B*35:03-C*04:01-DRB1*15:02-DQB1*05:03 | | India Tamil Nadu | 0.0454 | | 2,492 |
|
56 | A*03:02-B*35:03-C*04:01-DRB1*15:06-DQB1*05:02 | | India North UCBB | 0.0443 | | 5,849 |
|
57 | A*02:01-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
58 | A*02:06-B*35:01-C*04:01-DRB1*15:02-DQB1*05:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
59 | A*03:02-B*35:03-C*04:01-DRB1*15:06-DQB1*05:02 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
60 | A*11:01-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
61 | A*24:02-B*35:05-C*04:01-DRB1*15:01-DQB1*05:02 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
62 | A*24:07-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
63 | A*03:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India South UCBB | 0.0431 | | 11,446 |
|
64 | A*03:01-B*35:01-C*04:01-DRB1*15:01-DQB1*05:02 | | Germany DKMS - Turkey minority | 0.0410 | | 4,856 |
|
65 | A*11:01-B*35:01-C*04:01-DRB1*15:02-DQB1*05:03 | | India South UCBB | 0.0409 | | 11,446 |
|
66 | A*24:02-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India Central UCBB | 0.0404 | | 4,204 |
|
67 | A*03:01-B*35:01-C*04:01-DRB1*15:02-DQB1*05:03 | | India Tamil Nadu | 0.0401 | | 2,492 |
|
68 | A*68:01-B*35:03-C*04:01-DRB1*15:02-DQB1*05:03 | | India Tamil Nadu | 0.0385 | | 2,492 |
|
69 | A*31:01-B*35:03-C*04:01-DRB1*15:02-DQB1*05:03 | | India Central UCBB | 0.0345 | | 4,204 |
|
70 | A*01:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India Central UCBB | 0.0344 | | 4,204 |
|
71 | A*68:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India Tamil Nadu | 0.0340 | | 2,492 |
|
72 | A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*15:01:01-DQB1*05:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
73 | A*24-B*35-C*04-DRB1*15-DQA1*01-DQB1*05 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
74 | A*24:02-B*35:03-C*04:01-DRB1*15:06-DQB1*05:02 | | India South UCBB | 0.0283 | | 11,446 |
|
75 | A*24:02-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India Tamil Nadu | 0.0277 | | 2,492 |
|
76 | A*33:03-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India West UCBB | 0.0260 | | 5,829 |
|
77 | A*03:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India West UCBB | 0.0256 | | 5,829 |
|
78 | A*31:01-B*35:03-C*04:01-DRB1*15:06-DQB1*05:02 | | India North UCBB | 0.0254 | | 5,849 |
|
79 | A*03:01-B*35:03-C*04:01-DRB1*15:06-DQB1*05:02 | | India Central UCBB | 0.0241 | | 4,204 |
|
80 | A*68:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India North UCBB | 0.0239 | | 5,849 |
|
81 | A*02:01-B*35:01-C*04:01-DRB1*15:02-DQB1*05:03 | | India Central UCBB | 0.0238 | | 4,204 |
|
82 | A*03:01-B*35:01-C*04:01-DRB1*15:02-DQB1*05:03 | | India Central UCBB | 0.0238 | | 4,204 |
|
83 | A*11:01-B*35:03-C*04:01-DRB1*15:02-DQB1*05:01 | | India Central UCBB | 0.0238 | | 4,204 |
|
84 | A*11:01-B*35:03-C*04:01-DRB1*15:04-DQB1*05:02 | | India Central UCBB | 0.0238 | | 4,204 |
|
85 | A*24:02-B*35:01-C*04:01-DRB1*15:02-DQB1*05:03 | | India Central UCBB | 0.0238 | | 4,204 |
|
86 | A*11:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India Tamil Nadu | 0.0211 | | 2,492 |
|
87 | A*01:01-B*35:08-C*04:01-DRB1*15:01-DQB1*05:02 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
88 | A*24:02-B*35:01-C*04:01-DRB1*15:01-DQB1*05:02 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
89 | A*30:01-B*35:03-C*04:01-DRB1*15:01-DQB1*05:02 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
90 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*05:02:01 | | Poland BMR | 0.0210 | | 23,595 |
|
91 | A*01:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India East UCBB | 0.0208 | | 2,403 |
|
92 | A*02:11-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India East UCBB | 0.0208 | | 2,403 |
|
93 | A*03:02-B*35:08-C*04:29-DRB1*15:06-DQB1*05:02 | | India East UCBB | 0.0208 | | 2,403 |
|
94 | A*24:07-B*35:05-C*04:01-DRB1*15:01-DQB1*05:02 | | India East UCBB | 0.0208 | | 2,403 |
|
95 | A*33:03-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India East UCBB | 0.0208 | | 2,403 |
|
96 | A*33:03-B*35:03-C*04:01-DRB1*15:02-DQB1*05:01 | | India East UCBB | 0.0208 | | 2,403 |
|
97 | A*33:03-B*35:05-C*04:01-DRB1*15:02-DQB1*05:03 | | India East UCBB | 0.0208 | | 2,403 |
|
98 | A*68:01-B*35:01-C*04:01-DRB1*15:02-DQB1*05:03 | | India East UCBB | 0.0204 | | 2,403 |
|
99 | A*31:01-B*35:03-C*04:01-DRB1*15:02-DQB1*05:03 | | India Tamil Nadu | 0.0203 | | 2,492 |
|
100 | A*01:01-B*35:01-C*04:01-DRB1*15:06-DQB1*05:02 | | India West UCBB | 0.0201 | | 5,829 |
|
* 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).