Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Vietnam Kinh | 4.4550 | | 101 |
|
2 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | China Zhejiang Han | 4.0152 | | 1,734 |
|
3 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | India Andhra Pradesh Telugu Speaking | 2.1050 | | 186 |
|
4 | A*11:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Vietnam Kinh | 0.9900 | | 101 |
|
5 | A*02:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
6 | A*11:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | China Zhejiang Han | 0.4448 | | 1,734 |
|
7 | A*26:01:01-B*58:01:01-C*03:02:02-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 |
|
8 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
9 | A*01:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | India Andhra Pradesh Telugu Speaking | 0.3143 | | 186 |
|
10 | A*02:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | China Zhejiang Han | 0.2033 | | 1,734 |
|
11 | A*24:02:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | China Zhejiang Han | 0.1046 | | 1,734 |
|
12 | A*02:01:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
13 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
14 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0591 | | 23,595 |
|
15 | A*11:02:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | China Zhejiang Han | 0.0462 | | 1,734 |
|
16 | A*01:01:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
17 | A*31:01:02-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0191 | | 23,595 |
|
18 | A*02:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0065 | | 23,595 |
|
19 | A*26:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0064 | | 23,595 |
|
20 | A*25:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0064 | | 23,595 |
|
21 | A*24:02:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
22 | A*02:06:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | 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).