Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | Germany DKMS - Italy minority | 1.0480 | | 1,159 |
|
2 | A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01 | | Russia Bashkortostan, Tatars | 1.0417 | | 192 |
|
3 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Middle Eastern or North Coast of Africa | 1.0032 | | 70,890 |
|
4 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | Germany DKMS - Turkey minority | 0.9040 | | 4,856 |
|
5 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | USA NMDP Caribean Indian | 0.8597 | | 14,339 |
|
6 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Caribean Hispanic | 0.7975 | | 115,374 |
|
7 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | Italy pop 5 | 0.7400 | | 975 |
|
8 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.6993 | | 143 |
|
9 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*14:01 | | Tanzania Maasai | 0.6390 | | 336 |
|
10 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | USA Hispanic pop 2 | 0.6050 | | 1,999 |
|
11 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01 | | Panama | 0.5700 | | 462 |
|
12 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Mexican or Chicano | 0.4533 | | 261,235 |
|
13 | A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
14 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Hispanic South or Central American | 0.3827 | | 146,714 |
|
15 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | India North UCBB | 0.3736 | | 5,849 |
|
16 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP South Asian Indian | 0.3732 | | 185,391 |
|
17 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Southeast Asian | 0.3686 | | 27,978 |
|
18 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.3420 | | 4,335 |
|
19 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*55:01 | | Tanzania Maasai | 0.3195 | | 336 |
|
20 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | USA NMDP Hawaiian or other Pacific Islander | 0.3191 | | 11,499 |
|
21 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP European Caucasian | 0.3096 | | 1,242,890 |
|
22 | A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.2635 | | 1,510 |
|
23 | A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04-DQB1*03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
24 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:01 | | USA San Diego | 0.2600 | | 496 |
|
25 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01 | | Russia Karelia | 0.2525 | | 1,075 |
|
26 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | India West UCBB | 0.2392 | | 5,829 |
|
27 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | India Central UCBB | 0.2326 | | 4,204 |
|
28 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.2051 | | 1,463 |
|
29 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | USA NMDP American Indian South or Central America | 0.1705 | | 5,926 |
|
30 | A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1692 | | 28,927 |
|
31 | A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.1516 | | 23,595 |
|
32 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | USA NMDP Black South or Central American | 0.1347 | | 4,889 |
|
33 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | USA Asian pop 2 | 0.1330 | | 1,772 |
|
34 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP North American Amerindian | 0.1302 | | 35,791 |
|
35 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*03:01 | | Russia Karelia | 0.1129 | | 1,075 |
|
36 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*04:01 | | Germany DKMS - German donors | 0.1077 | | 3,456,066 |
|
37 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | USA African American pop 4 | 0.0870 | | 2,411 |
|
38 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*04:01 | | Russia Karelia | 0.0852 | | 1,075 |
|
39 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP African | 0.0565 | | 28,557 |
|
40 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01 | | Germany DKMS - German donors | 0.0488 | | 3,456,066 |
|
41 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Chinese | 0.0334 | | 99,672 |
|
42 | A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
43 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*04:02 | | Germany DKMS - German donors | 0.0323 | | 3,456,066 |
|
44 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Caribean Black | 0.0305 | | 33,328 |
|
45 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | India South UCBB | 0.0262 | | 11,446 |
|
46 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0212 | | 3,456,066 |
|
47 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP African American pop 2 | 0.0211 | | 416,581 |
|
48 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Filipino | 0.0210 | | 50,614 |
|
49 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
50 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Vietnamese | 0.0149 | | 43,540 |
|
51 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Korean | 0.0121 | | 77,584 |
|
52 | A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01 | | USA NMDP Japanese | 0.0061 | | 24,582 |
|
* 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).