Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*80:01-B*44:03-DRB1*13:02-DQB1*06:09 | | Chile Mapuche | 0.7700 | | 66 |
|
2 | A*30:01:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01 | | Costa Rica Central Valley Mestizo (G) | 0.4525 | | 221 |
|
3 | A*36:01-B*44:03:02-C*07:06:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
4 | A*34:02-B*44:03-C*07:01-DRB1*13:02-DQB1*06:09-DPB1*105:01 | | Tanzania Maasai | 0.3195 | | 336 |
|
5 | A*02:01-B*44:03-C*04:113-DRB1*13:02-DQB1*06:09-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
6 | A*80:01-B*44:03-C*04:01-DRB1*13:02-DQB1*06:09 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1370 | | 4,335 |
|
7 | A*02:01-B*44:03-C*04:01-DRB1*13:02-DQB1*06:09 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
8 | A*24:02-B*44:03-C*04:01-DRB1*13:02-DQB1*06:09 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
9 | A*24:02-B*44:03-C*07:01-DRB1*13:02-DQB1*06:09 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
10 | A*29:02-B*44:03-C*16:01-DRB1*13:02-DQB1*06:09 | | USA African American pop 4 | 0.0470 | | 2,411 |
|
11 | A*80:01-B*44:03-C*04:01-DRB1*13:02-DQB1*06:09 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
12 | A*02:01-B*44:03-C*07:01-DRB1*13:02-DQB1*06:09 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
13 | A*24:02-B*44:03-C*04:01-DRB1*13:02-DQB1*06:09 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
14 | A*30:01-B*44:03-C*04:01-DRB1*13:02-DQB1*06:09 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
15 | A*33:03-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09 | | India East UCBB | 0.0421 | | 2,403 |
|
16 | A*02:01-B*44:03-C*05:01-DRB1*13:02-DQB1*06:09 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
17 | A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
18 | A*68:01:02-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
19 | A*24:02-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09 | | India West UCBB | 0.0172 | | 5,829 |
|
20 | A*02:05-B*44:03-C*07:01-DRB1*13:02-DQB1*06:09 | | India Central UCBB | 0.0119 | | 4,204 |
|
21 | A*33:03-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09 | | India Central UCBB | 0.0119 | | 4,204 |
|
22 | A*01:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:09 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
23 | A*34:02-B*44:03-C*07:01-DRB1*13:02-DQB1*06:09 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
24 | A*24:02-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09 | | India North UCBB | 0.0097 | | 5,849 |
|
25 | A*02:11-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09 | | India West UCBB | 0.0087 | | 5,829 |
|
26 | A*23:01-B*44:03-C*06:02-DRB1*13:02-DQB1*06:09 | | India West UCBB | 0.0086 | | 5,829 |
|
27 | A*11:01-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09 | | India South UCBB | 0.0084 | | 11,446 |
|
28 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0048 | | 23,595 |
|
29 | A*01:01-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09 | | India South UCBB | 0.0044 | | 11,446 |
|
30 | A*02:11-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09 | | India South UCBB | 0.0043 | | 11,446 |
|
* 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).