Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*11:01:01-B*35:01:01-DRB1*13:01:01 | | Portugal North | 1.1000 | | 46 |
|
2 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
3 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
4 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
5 | A*11:01:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
6 | A*43:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQB1*02:01:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
7 | A*02:01:01-B*35:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*01:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
8 | A*01:01:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
9 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
10 | A*11:01:01-B*35:01:01-C*01:02:01-DRB1*13:01:01-DQB1*04:01:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
11 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
12 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
13 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
14 | A*23:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
15 | A*29:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
16 | A*30:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
17 | A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0781 | | 1,510 |
|
18 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0579 | | 23,595 |
|
19 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0488 | | 23,595 |
|
20 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0441 | | 23,595 |
|
21 | A*01:01:01:01-B*35:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
22 | A*02:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
23 | A*02:01:09-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
24 | A*24:02:01:01-B*35:01:01-C*08:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
25 | A*11:02:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
26 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0269 | | 23,595 |
|
27 | A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0196 | | 23,595 |
|
28 | A*26:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0115 | | 23,595 |
|
29 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DPB1*14:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0085 | | 5,266 |
|
30 | A*02:06:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0085 | | 23,595 |
|
31 | A*25:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0060 | | 23,595 |
|
32 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0047 | | 23,595 |
|
33 | A*02:01:01-B*35:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0028 | | 23,595 |
|
34 | A*02:01:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0027 | | 23,595 |
|
35 | A*68:01:02-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0025 | | 23,595 |
|
36 | A*29:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
37 | A*01:01:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
38 | A*30:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
39 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
40 | A*03:01:01-B*35:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
41 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:04:01 | | Poland BMR | 0.0021 | | 23,595 |
|
42 | A*23:01:01-B*35:01:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
43 | A*26:08-B*35:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0007064 | | 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).