Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 5.8729 | | 23,595 |
|
2 | A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01 | | Russia Bashkortostan, Tatars | 3.3854 | | 192 |
|
3 | A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Spain, Canary Islands, Gran canaria island | 2.7900 | | 215 |
|
4 | A*30:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01 | | South African Black | 1.7610 | | 142 |
|
5 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 1.5625 | | 405 |
|
6 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 1.3618 | | 521 |
|
7 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 1.1674 | | 521 |
|
8 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.9375 | | 405 |
|
9 | A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
10 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
11 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.6536 | | 153 |
|
12 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02 | | Russia Belgorod region | 0.6536 | | 153 |
|
13 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
14 | A*74:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
15 | A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
16 | A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.5026 | | 23,595 |
|
17 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
18 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*23:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
19 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
20 | A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*04:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
21 | A*33:03:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
22 | A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*104:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
23 | A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*01:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
24 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
25 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
26 | A*24:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
27 | A*68:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
28 | A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.2905 | | 23,595 |
|
29 | A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
30 | A*03:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
31 | A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
32 | A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
33 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
34 | A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
35 | A*68:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
36 | A*24:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.1828 | | 23,595 |
|
37 | A*11:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.1329 | | 23,595 |
|
38 | A*26:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.1236 | | 23,595 |
|
39 | A*25:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.1100 | | 23,595 |
|
40 | A*23:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0805 | | 23,595 |
|
41 | A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0756 | | 23,595 |
|
42 | A*31:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0435 | | 23,595 |
|
43 | A*33:03:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0367 | | 23,595 |
|
44 | A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0336 | | 23,595 |
|
45 | A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0217 | | 23,595 |
|
46 | A*68:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0107 | | 23,595 |
|
47 | A*30:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0103 | | 23,595 |
|
48 | A*68:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0072 | | 23,595 |
|
49 | A*03:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0045 | | 23,595 |
|
50 | A*02:05:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
51 | A*02:22:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
52 | A*66:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0003936 | | 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).