Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*68-B*18-DRB1*04:04-DQB1*03:02 | | Mexico Sinaloa Capomos Mayo Yoremes | 0.8333 | | 60 |
|
2 | A*02:01:01-B*18:01:01-C*07:02:01-DRB1*04:04:01-DQA1*04:02-DQB1*03:02-DPA1*01:03:01-DPB1*06:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
3 | A*30:01-B*18:01-DRB1*04:04-DQB1*03:02 | | Mexico Mexico City Tlalpan | 0.3030 | | 330 |
|
4 | A*33:03-B*18:01-C*05:01-DRB1*04:04-DQA1*05:01-DQB1*03:02-DPB1*03:01 | | USA San Diego | 0.2600 | | 496 |
|
5 | A*02:01-B*18:01-C*12:03-DRB1*04:04-DQB1*03:02:01 | | England North West | 0.2000 | | 298 |
|
6 | A*23-B*18-DRB1*04:04-DQA1*03:01-DQB1*03:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
7 | A*02:01-B*18:01-C*02:02-DRB1*04:04-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.0772 | | 1,463 |
|
8 | A*24:02-B*18:01-C*05:01-DRB1*04:04-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
9 | A*30:01-B*18:01-C*05:01-DRB1*04:04-DQB1*03:02-DPB1*04:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
10 | A*30:02-B*18:01-C*05:01-DRB1*04:04-DQB1*03:02 | | USA Hispanic pop 2 | 0.0540 | | 1,999 |
|
11 | A*11:01-B*18:01-C*07:01-DRB1*04:04-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
12 | A*02:01-B*18:01-C*12:03-DRB1*04:04-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
13 | A*03:01-B*18:01-C*12:03-DRB1*04:04-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
14 | A*29:02-B*18:01-C*12:03-DRB1*04:04-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
15 | A*30:02-B*18:01-C*05:01-DRB1*04:04-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
16 | A*23:01:01-B*18:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
17 | A*23:01:01-B*18:01:01-C*07:01:01-DRB1*04:04:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
18 | A*02:01:01-B*18:01:01-C*07:01:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0135 | | 23,595 |
|
19 | A*02:01-B*18:01-C*02:02-DRB1*04:04-DQB1*03:02 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
20 | A*23:01-B*18:01-C*02:02-DRB1*04:04-DQB1*03:02 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
21 | A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0113 | | 23,595 |
|
22 | A*02:11-B*18:01-C*07:01-DRB1*04:04-DQB1*03:02 | | India West UCBB | 0.0087 | | 5,829 |
|
23 | A*02:01-B*18:01-C*07:01-DRB1*04:04-DQB1*03:02 | | India West UCBB | 0.0085 | | 5,829 |
|
24 | A*01:01:01-B*18:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0067 | | 23,595 |
|
25 | A*26:01:01-B*18:01:01-C*07:01:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0052 | | 23,595 |
|
26 | A*26:01-B*18:01-C*12:02-DRB1*04:04-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
27 | A*31:01-B*18:01-C*12:03-DRB1*04:04-DQB1*03:02 | | India South UCBB | 0.0044 | | 11,446 |
|
28 | A*11:01:01-B*18:03-C*07:01:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
29 | A*23:01:01-B*18:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
30 | A*24:02:01-B*18:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
31 | A*68:01:01-B*18:01:01-C*07:01:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
32 | A*26:01:01-B*18:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
33 | A*32:01:01-B*18:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0016 | | 23,595 |
|
34 | A*02:01:01-B*18:03-C*07:01:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0008902 | | 23,595 |
|
35 | A*26:01-B*18:01-C*07:01-DRB1*04:04-DQB1*03:02 | | India Tamil Nadu | 0.0000028 | | 2,492 |
|
* 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).