Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01 | | Russia Karelia | 0.2786 | | 1,075 |
|
2 | A*03:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.2672 | | 23,595 |
|
3 | A*03:01:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Russia Nizhny Novgorod, Russians | 0.1982 | | 1,510 |
|
4 | A*11:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
5 | A*02:01:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Russia Nizhny Novgorod, Russians | 0.0667 | | 1,510 |
|
6 | A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | India North UCBB | 0.0610 | | 5,849 |
|
7 | A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:01 | | Russia Karelia | 0.0582 | | 1,075 |
|
8 | A*26:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*06:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
9 | A*68:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
10 | A*26:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
11 | A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01 | | Germany DKMS - German donors | 0.0397 | | 3,456,066 |
|
12 | A*29:02-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
13 | A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
14 | A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
15 | A*24:02:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
16 | A*31:01:02:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
17 | A*68:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0289 | | 23,595 |
|
18 | A*01:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0207 | | 23,595 |
|
19 | A*31:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
20 | A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0177 | | 3,456,066 |
|
21 | A*68:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0161 | | 3,456,066 |
|
22 | A*02:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0143 | | 23,595 |
|
23 | A*68:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01 | | Germany DKMS - German donors | 0.0125 | | 3,456,066 |
|
24 | A*24:03-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
25 | A*24:02:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0105 | | 23,595 |
|
26 | A*32:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | India North UCBB | 0.0093 | | 5,849 |
|
27 | A*03:02-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | India West UCBB | 0.0086 | | 5,829 |
|
28 | A*02:11-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02 | | India North UCBB | 0.0075 | | 5,849 |
|
29 | A*26:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0061 | | 23,595 |
|
30 | A*25:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0049 | | 23,595 |
|
31 | A*68:01:02-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0046 | | 23,595 |
|
32 | A*32:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0023 | | 23,595 |
|
33 | A*02:299-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | 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).