Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | Ireland South | 1.2000 | | 250 |
|
2 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Ireland South | 1.2000 | | 250 |
|
3 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01 | | USA San Diego | 0.5210 | | 496 |
|
4 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*05:05:01-DQB1*06:02-DPA1*01:03:01-DPB1*23:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
5 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
6 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | USA African American pop 4 | 0.2620 | | 2,411 |
|
7 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.2489 | | 23,595 |
|
8 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | USA Hispanic pop 2 | 0.2400 | | 1,999 |
|
9 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Italy minority | 0.1980 | | 1,159 |
|
10 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.1730 | | 1,734 |
|
11 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
12 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | USA NMDP American Indian South or Central America | 0.1597 | | 5,926 |
|
13 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.1556 | | 3,456,066 |
|
14 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1370 | | 4,335 |
|
15 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Russia Karelia | 0.1333 | | 1,075 |
|
16 | A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.1100 | | 1,510 |
|
17 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | India West UCBB | 0.1079 | | 5,829 |
|
18 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | India East UCBB | 0.0832 | | 2,403 |
|
19 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0743 | | 11,446 |
|
20 | A*11:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
21 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | India North UCBB | 0.0528 | | 5,849 |
|
22 | A*11:01:79-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0458 | | 23,595 |
|
23 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | Colombia Bogotá Cord Blood | 0.0357 | | 1,463 |
|
24 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | India Tamil Nadu | 0.0235 | | 2,492 |
|
25 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01 | | Germany DKMS - German donors | 0.0227 | | 3,456,066 |
|
26 | A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02 | | Germany DKMS - German donors | 0.0118 | | 3,456,066 |
|
* 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).