Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 1.7647 | | 170 |
|
2 | A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
3 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.9373 | | 23,595 |
|
4 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.8220 | | 1,510 |
|
5 | A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.7812 | | 192 |
|
6 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6230 | | 405 |
|
7 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
8 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
9 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
10 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
11 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
12 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.2858 | | 23,595 |
|
13 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
14 | A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.1195 | | 1,510 |
|
15 | A*03:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0975 | | 23,595 |
|
16 | A*24:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0961 | | 23,595 |
|
17 | A*01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0898 | | 23,595 |
|
18 | A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
19 | A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0577 | | 1,734 |
|
20 | A*01:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0576 | | 1,510 |
|
21 | A*03:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0571 | | 1,510 |
|
22 | A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0389 | | 1,510 |
|
23 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
24 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
25 | A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0282 | | 23,595 |
|
26 | A*31:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0237 | | 23,595 |
|
27 | A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0145 | | 23,595 |
|
28 | A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0140 | | 23,595 |
|
29 | A*03:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0127 | | 23,595 |
|
30 | A*74:03-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0127 | | 23,595 |
|
31 | A*68:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0062 | | 23,595 |
|
32 | A*30:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0048 | | 23,595 |
|
33 | A*29:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | 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).