Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
2 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
3 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
4 | A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
5 | A*23:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
6 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01 | | Costa Rica Guanacaste Mestizo (G) | 0.4545 | | 110 |
|
7 | A*02:05:01-B*35:01:01-C*04:01:01-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
8 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQA1*01:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
9 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01 | | Nicaragua Mestizo (G) | 0.3226 | | 155 |
|
10 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*10:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
11 | A*33:03:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
12 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
13 | A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
14 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
15 | A*33:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
16 | A*29:01:01-B*35:01:01-C*04:01:01-DRB1*07:01-DQB1*03:03 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
17 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*39:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
18 | A*30:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
19 | A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
20 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.1048 | | 1,510 |
|
21 | A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0672 | | 1,510 |
|
22 | A*01:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0626 | | 1,510 |
|
23 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0333 | | 23,595 |
|
24 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:30 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
25 | A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
26 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0296 | | 23,595 |
|
27 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0234 | | 23,595 |
|
28 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0216 | | 23,595 |
|
29 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0149 | | 23,595 |
|
30 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0095 | | 5,266 |
|
31 | A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DPB1*10:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0093 | | 5,266 |
|
32 | A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0083 | | 23,595 |
|
33 | A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0073 | | 23,595 |
|
34 | A*25:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0042 | | 23,595 |
|
35 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
36 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01 | | Poland BMR | 0.0034 | | 23,595 |
|
37 | A*29:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0031 | | 23,595 |
|
38 | A*25:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
39 | A*26:01:40-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | 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).