Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | DQA1*01:02-DQB1*05:01 | | Gambia | 9.9000 | | 146 |
|
2 | DRB1*01:02-DQA1*01:02-DQB1*05:01 | | Tunisia | 8.5000 | | 100 |
|
3 | DQA1*01:02-DQB1*05:01 | | Uganda Baganda | 7.9000 | | 47 |
|
4 | DRB1*13:01-DQA1*01:02-DQB1*05:01 | | Equatorial Guinea Bioko Island Bubi | 6.3000 | | 100 |
|
5 | DRB1*13:02-DQA1*01:02-DQB1*05:01 | | Congo Kinshasa Bantu | 5.1000 | | 90 |
|
6 | DQA1*01:02-DQB1*05:01 | | China, Xinjiang Uyghur Autonomous Region Kazakh | 3.8500 | | 52 |
|
7 | DQA1*01:02-DQB1*05:01 | | China, Xinjiang Uyghur Autonomous Region Hui | 2.5000 | | 40 |
|
8 | DRB1*13:02-DQA1*01:02-DQB1*05:01 | | Equatorial Guinea Bioko Island Bubi | 2.5000 | | 100 |
|
9 | DQA1*01:02-DQB1*05:01 | | Cameroon Saa | 1.8000 | | 172 |
|
10 | DRB1*11:01-DQA1*01:02-DQB1*05:01 | | Equatorial Guinea Bioko Island Bubi | 1.3000 | | 100 |
|
11 | DRB1*15:01-DQA1*01:02-DQB1*05:01 | | Italy Sardinia Carbonia | 1.1000 | | 91 |
|
12 | A*02:02-B*58:02-C*06:02-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*04:02 | | Kenya, Nyanza Province, Luo tribe | 1.0000 | | 100 |
|
13 | A*74:03-B*53:01-C*04:01-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 1.0000 | | 100 |
|
14 | A*68:03-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*05:01 | | Mexico Tixcacaltuyub Maya | 0.7463 | | 67 |
|
15 | DQA1*01:02-DQB1*05:01 | | China, Xinjiang Uyghur Autonomous Region Han | 0.7100 | | 70 |
|
16 | A*02:01-B*57:03-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*03:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
17 | A*29:02-B*45:01-C*06:02-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
18 | A*30:01-B*42:02-C*17:01-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*04:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
19 | A*66:01-B*58:02-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
20 | A*02:02-B*49:01-C*07:01-E*01:03:01-F*01:01:02-G*01:03-DRB1*13:02:01-DQA1*01:02-DQB1*05:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
21 | A*03:01-B*35:27-C*12:02-E*01:01:01-F*01:01:01-G*01:06-DRB1*01:01-DQA1*01:02-DQB1*05:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
22 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
23 | A*30:04:01-B*49:01:01-C*04:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
24 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
25 | A*03:01:01-B*37:01:01-C*04:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*20:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
26 | A*11:01-B*35:01:01-C*07:02:01-DRB1*01:01:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
27 | A*33:03:01-B*35:03:01-C*03:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
28 | A*02:01-B*58:02-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*105:01 | | South Africa Worcester | 0.3000 | | 159 |
|
29 | A*03:01-B*51:01-C*07:01-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*01:01 | | South Africa Worcester | 0.3000 | | 159 |
|
30 | A*23:01-B*07:02-C*07:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*13:01 | | South Africa Worcester | 0.3000 | | 159 |
|
31 | A*43:01-B*15:03-C*04:01-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPB1*04:02 | | South Africa Worcester | 0.3000 | | 159 |
|
32 | A*74:01-B*45:01-C*16:01-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPB1*18:01 | | South Africa Worcester | 0.3000 | | 159 |
|
33 | A*02:01-B*49:01-C*04:01-DRB1*11:02-DQA1*01:02-DQB1*05:01-DPB1*01:01 | | USA San Diego | 0.2600 | | 496 |
|
34 | A*11:01-B*44:02-C*06:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*06:01 | | USA San Diego | 0.2600 | | 496 |
|
35 | A*11:01-B*51:01-C*15:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*04:02 | | USA San Diego | 0.2600 | | 496 |
|
36 | A*24-B*15-DRB1*13:02-DQA1*01:02-DQB1*05:01 | | Brazil Paraná Caucasian | 0.2340 | | 641 |
|
37 | A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPA1*01:03-DPB1*04:01 | | Mexico Chiapas Lacandon Mayans | 0.2294 | | 218 |
|
38 | A*01:01-B*44:03-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*05:01-DPB1*02:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
39 | A*02:01-B*15:03-C*02:10-DRB1*11:04-DQA1*01:02-DQB1*05:01-DPB1*04:02 | | Nicaragua Managua | 0.2165 | | 339 |
|
40 | A*02:01-B*27:05-C*07:02-DRB1*16:01-DQA1*01:02-DQB1*05:01-DPB1*11:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
41 | A*02:05-B*51:01-C*16:01-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*13:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
42 | A*30:02-B*57:03-C*02:02-DRB1*13:01-DQA1*01:02-DQB1*05:01-DPB1*17:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
43 | A*74-B*15-DRB1*13:02-DQA1*01:02-DQB1*05:01 | | Brazil Paraná Caucasian | 0.1560 | | 641 |
|
44 | A*01-B*14-DRB1*01:02-DQA1*01:02-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
45 | A*01-B*44-DRB1*07:01-DQA1*01:02-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
46 | A*02-B*37-DRB1*15:01-DQA1*01:02-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
47 | A*03-B*35-DRB1*01:01-DQA1*01:02-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
48 | A*03-B*42-DRB1*01:03-DQA1*01:02-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
49 | A*33-B*14-DRB1*01:02-DQA1*01:02-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
50 | A*36-B*35-DRB1*01:01-DQA1*01:02-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
51 | A*11:01-B*15:05-C*03:03-DRB1*16:09-DQA1*01:02-DQB1*05:01-DPB1*03:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
52 | A*11:01-B*40:06-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*05:01-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
* 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).