Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01:01-B*40:02:01-C*15:02:01-DRB1*14:06:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*13:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
2 | A*31:01:02-B*40:02:01-C*15:02:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*14:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
3 | A*32:01:01-B*40:02:01-C*15:02:01-DRB1*04:04:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*06:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
4 | A*32:01:01-B*40:02:01-C*15:02:01 | | England Blood Donors of Mixed Ethnicity | 0.1927 | | 519 |
|
5 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*12:02:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
6 | A*24:07:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
7 | A*26:01:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
8 | A*33:03:01-B*40:02:01-C*15:02:01-DRB1*04:04:01-DQB1*04:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
9 | A*02:01:01-B*40:02:01-C*15:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
10 | A*31:01:02-B*40:02:01-C*15:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
11 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*04:03:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0448 | | 5,266 |
|
12 | A*01:01:01:01-B*40:02:01-C*15:02:01:01-DRB1*13:05:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
13 | A*02:01:01-B*40:02:01-C*15:02:01-DRB1*12:02:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
14 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
15 | A*24:02:01-B*40:02:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
16 | A*24:02:01-B*40:02:01-C*15:02:01-DRB1*15:01:01-DQB1*05:03:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
17 | A*24:02:31-B*40:02:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
18 | A*26:01:01-B*40:02:01-C*15:02:01-DRB1*12:02:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
19 | A*26:01:01-B*40:02:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
20 | A*02:01:01-B*40:02:01-C*15:02:01-DRB1*09:01:02-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0190 | | 5,266 |
|
21 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*11:129-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0190 | | 5,266 |
|
22 | A*26:01:01-B*40:02:01-C*15:02:01-DRB1*09:01:02-DPB1*04:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0185 | | 5,266 |
|
23 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*15:02:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0155 | | 5,266 |
|
24 | A*02:01:01-B*40:02:01-C*15:02:01-DRB1*04:03:01-DPB1*48:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0095 | | 5,266 |
|
25 | A*02:03:01-B*40:02:01-C*15:02:01-DRB1*04:05:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0095 | | 5,266 |
|
26 | A*24:07:01-B*40:02:01-C*15:02:01-DRB1*04:03:01-DPB1*135:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0095 | | 5,266 |
|
27 | A*02:01:01-B*40:02:01-C*15:02:01-DRB1*08:03:02-DPB1*135:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0094 | | 5,266 |
|
28 | A*02:07:01-B*40:02:01-C*15:02:01-DRB1*12:02:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0091 | | 5,266 |
|
29 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*04:03:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0086 | | 5,266 |
|
30 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*15:02:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0086 | | 5,266 |
|
31 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*11:129-DPB1*14:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0082 | | 5,266 |
|
32 | A*32:01:01-B*40:02:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01 | | Poland BMR | 0.0064 | | 23,595 |
|
33 | A*32:01:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
34 | A*02:01:01-B*40:02:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0035 | | 23,595 |
|
35 | A*24:02:01-B*40:02:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0029 | | 23,595 |
|
36 | A*01:01:01-B*40:02:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
37 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*03:01:01-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
38 | A*11:01:01-B*40:02:01-C*15:02:01-DRB1*09:01:02-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
39 | A*31:01:02-B*40:02:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01 | | 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).