Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*25-B*13-DRB1*07-DQA1*02-DQB1*02:02 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 3.1200 | | 112 |
|
2 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 1.6340 | | 153 |
|
3 | A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Kosovo | 1.6130 | | 124 |
|
4 | A*24-B*13-DRB1*07-DQA1*02-DQB1*02:02 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 1.3400 | | 112 |
|
5 | A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Puyanawa | 1.3333 | | 150 |
|
6 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | USA San Diego | 1.0420 | | 496 |
|
7 | A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01 | | USA San Diego | 0.7810 | | 496 |
|
8 | A*30:01-B*13:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Puyanawa | 0.6667 | | 150 |
|
9 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Puyanawa | 0.6667 | | 150 |
|
10 | A*30-B*13-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Paraná Caucasian | 0.5448 | | 641 |
|
11 | A*02-B*13-DRB1*07-DQA1*02-DQB1*02:02 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
12 | A*11-B*13-DRB1*07-DQA1*02-DQB1*02:02 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
13 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | Nicaragua Managua | 0.4329 | | 339 |
|
14 | A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
15 | A*30:01:01-B*13:02:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
16 | A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
17 | 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 |
|
18 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | South Africa Worcester | 0.3000 | | 159 |
|
19 | A*33:03-B*13:03-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*47:01 | | South Africa Worcester | 0.3000 | | 159 |
|
20 | A*01:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | USA San Diego | 0.2600 | | 496 |
|
21 | A*26:01-B*13:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01 | | USA San Diego | 0.2600 | | 496 |
|
22 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01 | | Mexico Chiapas Lacandon Mayans | 0.2294 | | 218 |
|
23 | A*29-B*13-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Paraná Caucasian | 0.1572 | | 641 |
|
24 | A*03:02-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01 | | Japan pop 17 | 0.1000 | | 3,078 |
|
25 | A*02-B*13-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
26 | A*24-B*13-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
27 | A*31-B*13-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
28 | A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*14:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
29 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
30 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*02:02 | | Japan pop 17 | 0.0300 | | 3,078 |
|
* 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).