Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02-B*38-C*07-DRB1*04-DQB1*03-DPB1*09 | | Myanmar Kayin | 1.1360 | | 44 |
|
2 | A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
3 | A*11:01:01-B*38:02:01-C*07:02:01-DRB1*04:06:01-DQB1*03:03:02 | | Vietnam Kinh | 0.4950 | | 101 |
|
4 | A*68:03-B*38:01-C*07:02-DRB1*04:11-DQB1*03:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
5 | B*38:01-C*07:02-DRB1*04:11-DQB1*03:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
6 | A*32-B*38-C*07-DRB1*04-DQB1*03 | | Albania pop 2 | 0.3400 | | 432 |
|
7 | A*11-B*38-C*07:02-DRB1*04:04-DQB1*03 | | Russia Transbaikal Territory Buryats | 0.3340 | | 150 |
|
8 | A*33:03:01-B*38:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:03:02 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
9 | A*11:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Chinese | 0.2577 | | 194 |
|
10 | A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | USA Asian pop 2 | 0.1780 | | 1,772 |
|
11 | A*74:02-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
12 | A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
13 | A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:06:01-DQB1*03:02:01 | | China Zhejiang Han | 0.0308 | | 1,734 |
|
14 | A*11:01:01-B*38:02:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
15 | A*24:02:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
16 | A*33:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
17 | A*33:03-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02 | | India Central UCBB | 0.0238 | | 4,204 |
|
18 | A*24:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | India Central UCBB | 0.0236 | | 4,204 |
|
19 | A*02:01-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | USA Asian pop 2 | 0.0220 | | 1,772 |
|
20 | A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0211 | | 2,492 |
|
21 | A*03:01-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02 | | India East UCBB | 0.0208 | | 2,403 |
|
22 | A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0132 | | 11,446 |
|
23 | A*02:01-B*38:02-C*07:02-DRB1*04:02-DQB1*03:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
24 | A*02:06-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
25 | A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:01 | | India Tamil Nadu | 0.0100 | | 2,492 |
|
26 | A*01:01-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
27 | A*02:11-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | India West UCBB | 0.0086 | | 5,829 |
|
28 | A*24:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0046 | | 11,446 |
|
29 | A*26:01-B*38:02-C*07:02-DRB1*04:01-DQB1*03:01 | | India South UCBB | 0.0044 | | 11,446 |
|
30 | A*33:03-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
31 | A*74:03-B*38:01-C*07:02-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0043 | | 2,492 |
|
32 | A*74:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0043 | | 2,492 |
|
33 | A*03:01-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0042 | | 11,446 |
|
34 | A*01:01:01-B*38:01:01-C*07:01:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
35 | A*01:01:01-B*38:01:01-C*07:01:01-DRB1*04:08-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
36 | A*02:01:01-B*38:01:01-C*07:04:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
37 | A*74:03-B*38:01-C*07:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0003760 | | 2,492 |
|
38 | A*74:03-B*38:01-C*07:02-DRB1*04:04-DQB1*03:02 | | India Tamil Nadu | 0.0003760 | | 2,492 |
|
39 | A*74:03-B*38:02-C*07:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0003760 | | 2,492 |
|
40 | A*74:03-B*38:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India Tamil Nadu | 0.0003760 | | 2,492 |
|
* 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).