Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01-B*08:01-C*06:02 | | Kenya Nandi | 1.0000 | | 240 |
|
2 | B*08:01-C*06:02 | | Kenya Nandi | 1.0000 | | 240 |
|
3 | A*02:01-B*08:01-C*06:02-DRB1*04:01-DQB1*02:01 | | Iran Gorgan | 0.7800 | | 64 |
|
4 | A*66:03-B*08:01-C*06:02-DRB1*15:01-DQB1*06:02 | | Iran Gorgan | 0.7800 | | 64 |
|
5 | A*34:02:01-B*08:01:01-C*06:02:01-DRB1*03:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
6 | A*02:01:01-B*08:01:01-C*06:02:01-DRB1*07:01 | | Costa Rica Guanacaste Mestizo (G) | 0.4545 | | 110 |
|
7 | A*68:01-B*08:01-C*06:02-E*01:01:01-F*01:01:02-G*01:01-DRB1*04:05-DQA1*03:03-DQB1*03:02 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
8 | A*01:01:01-B*08:01:01-C*06:02:01-DRB1*07:01:01-DQA1*05:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*02:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
9 | A*02:05:01-B*08:01:01-C*06:02:01-DRB1*07:01:01-DQA1*01:05:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
10 | A*03:01-B*08:01-C*06:02-DRB1*03:01-DQA1*04:01-DQB1*02:01-DPB1*02:01 | | South Africa Worcester | 0.3000 | | 159 |
|
11 | B*08:01-C*06:02 | | Italy pop 5 | 0.2800 | | 975 |
|
12 | A*26:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
13 | A*02:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01 | | USA Hispanic pop 2 | 0.0520 | | 1,999 |
|
14 | B*08:01-C*06:02 | | USA Hispanic pop 2 | 0.0510 | | 1,999 |
|
15 | A*68:01-B*08:01-C*06:02-DRB1*03:01 | | Germany DKMS - Bosnia and Herzegovina minority | 0.0490 | | 1,028 |
|
16 | A*02:01-B*08:01-C*06:02-DRB1*03:01 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
17 | A*02:01-B*08:01-C*06:02-DRB1*13:03-DQB1*03:01 | | USA Hispanic pop 2 | 0.0410 | | 1,999 |
|
18 | A*33:03-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0401 | | 2,492 |
|
19 | A*01:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0349 | | 11,446 |
|
20 | A*01:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
21 | A*01:01-B*08:01-C*06:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
22 | A*03:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0044 | | 11,446 |
|
23 | A*03:01:01-B*08:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
24 | A*01:01-B*08:01-C*06:02-DRB1*16:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
25 | A*29:02-B*08:01-C*06:02-DRB1*03:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
26 | A*01:01:01-B*08:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
* 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).