Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01:01-B*39:01:01-DRB1*11:01:01 | | Portugal North | 1.1000 | | 46 |
|
2 | A*03:01:01-B*39:01:01-C*02:02:02-DRB1*11:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
3 | A*24:02:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*15:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
4 | A*31:01:02-B*39:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
5 | A*33:03:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
6 | A*11:02:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
7 | A*11:01:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0721 | | 1,734 |
|
8 | A*26:01:01-B*39:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
9 | A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0594 | | 1,510 |
|
10 | A*02:01:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0577 | | 1,734 |
|
11 | A*31:01:02-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0360 | | 23,595 |
|
12 | A*02:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0333 | | 23,595 |
|
13 | A*24:02:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
14 | A*24:02:01-B*39:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0272 | | 1,510 |
|
15 | A*01:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0199 | | 23,595 |
|
16 | A*11:01:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0197 | | 5,266 |
|
17 | A*31:01:02:01-B*39:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0187 | | 1,510 |
|
18 | A*11:01:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0185 | | 5,266 |
|
19 | A*25:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0121 | | 23,595 |
|
20 | A*24:02:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0114 | | 23,595 |
|
21 | A*11:01:01-B*39:01:01-C*08:01:01-DRB1*11:01:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0097 | | 5,266 |
|
22 | A*26:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0083 | | 23,595 |
|
23 | A*11:01:01-B*39:01:01-C*07:595-DRB1*11:01:01-DPB1*04:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0080 | | 5,266 |
|
24 | A*24:02:01-B*39:01:01-C*07:595-DRB1*11:01:01-DPB1*04:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0075 | | 5,266 |
|
25 | A*02:01:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0052 | | 23,595 |
|
26 | A*25:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*06:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
27 | A*68:01:02-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
28 | A*32:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0037 | | 23,595 |
|
29 | A*03:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0031 | | 23,595 |
|
30 | A*02:01:01-B*39:01:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0027 | | 23,595 |
|
31 | A*68:01:02-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*06:02:01 | | Poland BMR | 0.0022 | | 23,595 |
|
32 | A*01:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
33 | A*02:17:02-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
34 | A*03:01:01-B*39:01:01-C*02:02:02-DRB1*11:01:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
35 | A*25:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*05:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
36 | A*26:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
37 | A*26:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*05:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
38 | A*68:01:02-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0019 | | 23,595 |
|
39 | A*31:01:02-B*39:01:01-C*07:01:01-DRB1*11:01:01-DQB1*06:02:01 | | Poland BMR | 0.0015 | | 23,595 |
|
40 | A*66:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0014 | | 23,595 |
|
41 | A*29:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*05:02:01 | | Poland BMR | 0.0013 | | 23,595 |
|
42 | A*68:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0010 | | 23,595 |
|
43 | A*24:02:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0001548 | | 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).