Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 4.0457 | | 192 |
|
2 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Black | 2.9412 | | 68 |
|
3 | A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 2.5795 | | 1,510 |
|
4 | 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 |
|
5 | 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 |
|
6 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 1.1790 | | 356 |
|
7 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 1.1765 | | 170 |
|
8 | 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 |
|
9 | A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.7812 | | 192 |
|
10 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
11 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.6732 | | 23,595 |
|
12 | A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.6702 | | 1,510 |
|
13 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
14 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.5837 | | 521 |
|
15 | A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
16 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.4860 | | 23,595 |
|
17 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
18 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
19 | 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 |
|
20 | 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 |
|
21 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
22 | A*33:03:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.3814 | | 192 |
|
23 | 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 |
|
24 | 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 |
|
25 | 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 |
|
26 | A*29:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
27 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
28 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
29 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
30 | A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.2191 | | 1,510 |
|
31 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
32 | A*01:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.1879 | | 1,510 |
|
33 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.1797 | | 23,595 |
|
34 | A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0675 | | 23,595 |
|
35 | A*02:06:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
36 | A*03:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
37 | A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0593 | | 1,510 |
|
38 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | China Zhejiang Han | 0.0577 | | 1,734 |
|
39 | A*25:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0549 | | 23,595 |
|
40 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0463 | | 23,595 |
|
41 | A*33:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0337 | | 1,510 |
|
42 | A*31:48-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
43 | A*68:01:02-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
44 | A*02:06:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
45 | A*26:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0277 | | 1,510 |
|
46 | A*31:01:02-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0214 | | 23,595 |
|
47 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0134 | | 23,595 |
|
48 | A*68:01:02-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0115 | | 23,595 |
|
49 | A*29:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0084 | | 23,595 |
|
50 | A*30:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0057 | | 23,595 |
|
51 | A*33:03:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0043 | | 23,595 |
|
52 | A*66:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
53 | A*26:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0034 | | 23,595 |
|
54 | A*02:22:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
55 | A*29:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0001061 | | 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).