Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 3.1109 | | 1,734 |
|
2 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 1.0753 | | 186 |
|
3 | A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 1.0564 | | 1,510 |
|
4 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
5 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.8598 | | 23,595 |
|
6 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.7785 | | 5,266 |
|
7 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01 | | Nicaragua Mestizo (G) | 0.6452 | | 155 |
|
8 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
9 | A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
10 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
11 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*14:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
12 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*271:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
13 | A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2824 | | 192 |
|
14 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
15 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01 | | Saudi Arabia pop 6 (G) | 0.1521 | | 28,927 |
|
16 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1269 | | 5,266 |
|
17 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.1119 | | 28,927 |
|
18 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0808 | | 5,266 |
|
19 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0545 | | 5,266 |
|
20 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*19:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0474 | | 5,266 |
|
21 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*09:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0472 | | 5,266 |
|
22 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0459 | | 5,266 |
|
23 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
24 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*14:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0103 | | 5,266 |
|
25 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*104:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0088 | | 5,266 |
|
26 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*04:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0082 | | 5,266 |
|
27 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01 | | Poland BMR | 0.0052 | | 23,595 |
|
28 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0029 | | 23,595 |
|
29 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
30 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:04:01 | | Poland BMR | 0.0021 | | 23,595 |
|
31 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:02:01 | | Poland BMR | 0.0001288 | | 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).