Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*03-B*35-DRB1*01-DQA1*01:01-DQB1*05:01 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 4.8800 | | 112 |
|
2 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 2.5210 | | 119 |
|
3 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | | Russia Belgorod region | 1.3072 | | 153 |
|
4 | A*01-B*35-DRB1*01-DQA1*01:01-DQB1*05:01 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 1.2200 | | 112 |
|
5 | A*24-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01 | | Greece Crete | 1.1000 | | 135 |
|
6 | A*02-B*35-DRB1*01-DQA1*01:01-DQB1*05:01 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.8900 | | 112 |
|
7 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01:01 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
8 | A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01 | | Mexico Tixcacaltuyub Maya | 0.7463 | | 67 |
|
9 | A*03:01-B*35:01-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01 | | Brazil Puyanawa | 0.6667 | | 150 |
|
10 | A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01 | | South Africa Worcester | 0.6000 | | 159 |
|
11 | A*03-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.5460 | | 641 |
|
12 | A*03:01-B*35:01-C*04:01-E*01:03:01-F*01:03:01-G*01:01-DRB1*01:06-DQA1*01:01-DQB1*05:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
13 | A*11:01-B*35:01-C*04:01-E*01:01:01-F*01:01:02-G*01:04-DRB1*01:01-DQA1*01:01-DQB1*05:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
14 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
15 | A*11:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
16 | A*24:02:01-B*35:03:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
17 | A*23:01-B*35:01-C*04:01-DRB1*01:03-DQA1*01:01-DQB1*05:01 | | Brazil Puyanawa | 0.3333 | | 150 |
|
18 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
19 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*09:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
20 | A*25:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:01:04-DPB1*13:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
21 | A*02:01-B*35:01-C*04:01-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*05:01 | | USA San Diego | 0.2600 | | 496 |
|
22 | A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01 | | USA San Diego | 0.2600 | | 496 |
|
23 | A*25:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01 | | USA San Diego | 0.2600 | | 496 |
|
24 | A*31:01-B*35:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01 | | USA San Diego | 0.2600 | | 496 |
|
25 | A*03:01-B*35:01-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
26 | A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02 | | Nicaragua Managua | 0.2165 | | 339 |
|
27 | A*11-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.1560 | | 641 |
|
28 | A*24-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0943 | | 641 |
|
29 | A*02-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
30 | A*02-B*35-DRB1*01:02-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
31 | A*11-B*35-DRB1*01:03-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
32 | A*25-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
33 | A*26-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
34 | A*01:01-B*35:03-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*14:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
35 | A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*17:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
36 | A*24:02-B*35:01-C*08:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02 | | Japan pop 17 | 0.0300 | | 3,078 |
|
37 | A*26:01-B*35:01-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02 | | Japan pop 17 | 0.0300 | | 3,078 |
|
38 | A*26:03-B*35:01-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02 | | Japan pop 17 | 0.0300 | | 3,078 |
|
39 | A*26:03-B*35:01-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01 | | 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).