Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01:01 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
2 | A*03:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
3 | DRB1*10:01-DQB1*05:01-DPB1*03:01 | | Gambia pop 3 | 0.6548 | | 939 |
|
4 | A*02:01-B*57:03-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*03:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
5 | A*74:01-B*45:01-C*04:01-DRB1*13:01-DQA1*02:01-DQB1*05:01-DPB1*03:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
6 | A*23:01-B*18:01-C*05:01-DRB1*10:01-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.4792 | | 336 |
|
7 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
8 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
9 | A*02:05:01-B*58:01:01-C*03:02:01-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01 | | South African Black | 0.3520 | | 142 |
|
10 | A*02:14-B*49:01:01-C*02:02:02-DRB1*03:02:01-DQB1*05:01:01-DPB1*03:01:01 | | South African Black | 0.3520 | | 142 |
|
11 | A*29:02:01-B*15:03:01-C*04:01:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*03:01:01 | | South African Black | 0.3520 | | 142 |
|
12 | A*30:02:01-B*57:03:01-C*18:02-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01 | | South African Black | 0.3520 | | 142 |
|
13 | A*02:01:01-B*14:02:01-C*03:04:01-DRB1*13:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*03:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
14 | A*02:01:01-B*14:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*03:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
15 | A*03:01:01-B*35:03:01-C*15:02:01-DRB1*01:01:01-DQA1*02:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
16 | A*11:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:07-DPB1*03:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
17 | A*24:02:01-B*07:06-C*15:05:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
18 | A*24:02:01-B*44:05:01-C*16:02:01-DRB1*04:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
19 | A*02:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01 | | USA San Diego | 0.2600 | | 496 |
|
20 | A*02:06-B*27:06-C*04:01-DRB1*16:09-DQA1*01:01-DQB1*05:01-DPB1*03:01 | | USA San Diego | 0.2600 | | 496 |
|
21 | A*03:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01 | | USA San Diego | 0.2600 | | 496 |
|
22 | A*24:02-B*51:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01 | | USA San Diego | 0.2600 | | 496 |
|
23 | A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01 | | Saudi Arabia pop 6 (G) | 0.2311 | | 28,927 |
|
24 | A*02:01-B*13:02-C*06:02-DRB1*01:01-DQA1*02:01-DQB1*05:01-DPB1*03:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
25 | A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01 | | Sri Lanka Colombo | 0.2101 | | 714 |
|
26 | A*02:01:01-B*50:01:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
27 | A*03:01:01-B*44:03:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
28 | A*11:01:01-B*39:02:02-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
29 | A*34:02-B*15:10-C*03:04-DRB1*13:02-DQB1*05:01-DPB1*03:01 | | Panama | 0.1900 | | 462 |
|
30 | A*01:03-B*47:01-C*06:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
31 | A*02:01-B*57:03-C*07:01-DRB1*14:54-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
32 | A*26:30-B*41:01-C*06:02-DRB1*07:01-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
33 | A*30:01-B*35:01-C*07:05-DRB1*13:01-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
34 | A*30:02-B*45:01-C*16:04-DRB1*03:01-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
35 | A*68:01-B*07:02-C*07:02-DRB1*01:02-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
36 | A*68:01-B*40:12-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
37 | A*68:02-B*13:02-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
38 | A*68:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
39 | DQB1*05:01-DPB1*03:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.1520 | | 496 |
|
40 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.1313 | | 1,075 |
|
41 | A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.1079 | | 1,075 |
|
42 | A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.1026 | | 1,075 |
|
43 | A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01 | | Saudi Arabia pop 6 (G) | 0.0960 | | 28,927 |
|
44 | A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0903 | | 3,456,066 |
|
45 | DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01 | | Hong Kong Chinese HKBMDR. DQ and DP | 0.0812 | | 1,064 |
|
46 | A*02:06-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
47 | A*11:01-B*15:05-C*03:03-DRB1*16:09-DQA1*01:02-DQB1*05:01-DPB1*03:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
48 | A*29:01-B*07:05-C*15:05-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
49 | A*33:03-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
50 | A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*03:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
51 | A*02:01-B*39:01-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.0633 | | 1,075 |
|
52 | A*11:01-B*52:01-C*12:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0579 | | 3,456,066 |
|
53 | A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.0574 | | 1,075 |
|
54 | A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.0570 | | 1,075 |
|
55 | A*31:01-B*15:01-C*03:03-DRB1*10:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
56 | A*03:01-B*44:05-C*02:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
57 | A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.0564 | | 1,075 |
|
58 | A*03:123-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Russia Karelia | 0.0563 | | 1,075 |
|
59 | A*02:01-B*51:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0516 | | 3,456,066 |
|
60 | A*03:01-B*51:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0503 | | 3,456,066 |
|
61 | A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0385 | | 3,456,066 |
|
62 | A*02:01-B*15:01-C*03:04-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0381 | | 3,456,066 |
|
63 | A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0370 | | 3,456,066 |
|
64 | A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0340 | | 3,456,066 |
|
65 | A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0338 | | 3,456,066 |
|
66 | DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*03:01 | | Hong Kong Chinese HKBMDR. DQ and DP | 0.0337 | | 1,064 |
|
67 | A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0313 | | 3,456,066 |
|
68 | A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
69 | A*26:03-B*35:01-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
70 | A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0295 | | 3,456,066 |
|
71 | A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0201 | | 3,456,066 |
|
72 | A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0185 | | 3,456,066 |
|
73 | A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0179 | | 3,456,066 |
|
74 | DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*03:01 | | Hong Kong Chinese HKBMDR. DQ and DP | 0.0140 | | 1,064 |
|
75 | A*02:01-B*27:05-C*02:02-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0139 | | 3,456,066 |
|
76 | A*32:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0114 | | 3,456,066 |
|
77 | A*02:01-B*40:01-C*03:04-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0110 | | 3,456,066 |
|
78 | A*68:01-B*44:02-C*07:04-DRB1*01:01-DQB1*05:01-DPB1*03:01 | | Germany DKMS - German donors | 0.0108 | | 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).