Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*30:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
2 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 1.3538 | | 1,734 |
|
3 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | India Kerala Malayalam speaking | 1.1240 | | 356 |
|
4 | A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
5 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
6 | A*68:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
7 | A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.1732 | | 1,734 |
|
8 | A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
9 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.1206 | | 23,595 |
|
10 | A*03:01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Russia Nizhny Novgorod, Russians | 0.0993 | | 1,510 |
|
11 | A*25:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
12 | A*31:01:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
13 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
14 | A*68:13:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
15 | A*31:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.0295 | | 1,734 |
|
16 | A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.0294 | | 1,734 |
|
17 | A*30:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.0289 | | 1,734 |
|
18 | A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
19 | A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
20 | A*68:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
21 | A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0287 | | 23,595 |
|
22 | A*25:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0120 | | 23,595 |
|
23 | A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0107 | | 23,595 |
|
24 | A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0078 | | 23,595 |
|
25 | A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0067 | | 23,595 |
|
26 | A*30:04:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0042 | | 23,595 |
|
27 | A*23:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0041 | | 23,595 |
|
28 | A*66:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0021 | | 23,595 |
|
29 | A*03:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0021 | | 23,595 |
|
30 | A*30:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0021 | | 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).