Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 3.1109 | | 1,734 |
|
2 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 1.7759 | | 23,595 |
|
3 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 1.0753 | | 186 |
|
4 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
5 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.8598 | | 23,595 |
|
6 | A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.6910 | | 23,595 |
|
7 | A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.5376 | | 186 |
|
8 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
9 | 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 |
|
10 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*14:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
11 | A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
12 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
13 | A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.2529 | | 23,595 |
|
14 | A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
15 | A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.1973 | | 23,595 |
|
16 | A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.1960 | | 1,734 |
|
17 | A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
18 | A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0978 | | 1,734 |
|
19 | A*33:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
20 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0823 | | 1,734 |
|
21 | A*02:07:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0592 | | 1,734 |
|
22 | A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0569 | | 1,734 |
|
23 | A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0541 | | 23,595 |
|
24 | A*23:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0475 | | 23,595 |
|
25 | A*68:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0417 | | 23,595 |
|
26 | A*32:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0411 | | 23,595 |
|
27 | A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0320 | | 23,595 |
|
28 | A*25:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0304 | | 23,595 |
|
29 | A*03:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0242 | | 23,595 |
|
30 | A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0239 | | 23,595 |
|
31 | A*68:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0096 | | 23,595 |
|
32 | A*29:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0045 | | 23,595 |
|
33 | A*66:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0035 | | 23,595 |
|
34 | A*68:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0035 | | 23,595 |
|
35 | A*33:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0028 | | 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).