Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*01:01-B*08:01-DRB1*04:01 | | Azores Oriental Islands | 2.6000 | | 43 |
|
2 | A*30:02-B*08:01-DRB1*04:01:01 | | Cape Verde Northwestern Islands | 2.4000 | | 62 |
|
3 | A*02:01:01-B*08:01-C*07:01-DRB1*04:01 | | South Africa Caucasians | 1.1100 | | 102 |
|
4 | A*01:01-B*08:01-DRB1*04:01 | | New Zealand Maori with Full Ancestry | 1.1000 | | 46 |
|
5 | A*02:01-B*08:01-C*06:02-DRB1*04:01-DQB1*02:01 | | Iran Gorgan | 0.7800 | | 64 |
|
6 | A*29:01-B*08:01-C*04:01-DRB1*04:01-DQB1*06:02 | | Iran Gorgan | 0.7800 | | 64 |
|
7 | A*01:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - Netherlands minority | 0.4900 | | 1,374 |
|
8 | A*01:01-B*08:01-DRB1*04:01 | | New Zealand Maori with Admixed History | 0.4762 | | 105 |
|
9 | A*02:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01 | | Costa Rica Guanacaste Mestizo (G) | 0.4545 | | 110 |
|
10 | A*01:01-B*08:01-C*02:10-DRB1*04:01-DQA1*02:01-DQB1*06:02-DPB1*17:01 | | South Africa Worcester | 0.3000 | | 159 |
|
11 | A*02:01-B*08:01-C*07:01-DRB1*04:01:01-DQB1*03:02:01 | | England North West | 0.3000 | | 298 |
|
12 | A*02:01-B*08:01-C*07:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:01 | | USA San Diego | 0.2600 | | 496 |
|
13 | A*01:01-B*08:01-C*07:01-DRB1*04:01:01-DQB1*03:01 | | England North West | 0.2000 | | 298 |
|
14 | A*32:01-B*08:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01 | | England North West | 0.2000 | | 298 |
|
15 | A*01:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - United Kingdom minority | 0.1750 | | 1,043 |
|
16 | A*01:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - Portugal minority | 0.1700 | | 1,176 |
|
17 | A*01:01-B*08:01-C*07:01-DRB1*04:01 | | Poland DKMS | 0.1697 | | 20,653 |
|
18 | A*01:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - Austria minority | 0.1570 | | 1,698 |
|
19 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.1139 | | 23,595 |
|
20 | A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:01 | | Germany DKMS - German donors | 0.1108 | | 3,456,066 |
|
21 | A*01:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - Croatia minority | 0.0950 | | 2,057 |
|
22 | A*01:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - Spain minority | 0.0900 | | 1,107 |
|
23 | A*02:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - United Kingdom minority | 0.0830 | | 1,043 |
|
24 | A*02:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - France minority | 0.0740 | | 1,406 |
|
25 | A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:01-DPB1*04:01 | | Germany DKMS - German donors | 0.0639 | | 3,456,066 |
|
26 | A*24:02-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - France minority | 0.0510 | | 1,406 |
|
27 | A*01:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - Bosnia and Herzegovina minority | 0.0490 | | 1,028 |
|
28 | A*26:01-B*08:01-C*07:02-DRB1*04:01 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
29 | A*26:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - Spain minority | 0.0470 | | 1,107 |
|
30 | A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
31 | A*11:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - France minority | 0.0440 | | 1,406 |
|
32 | A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
33 | A*03:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - Austria minority | 0.0390 | | 1,698 |
|
34 | A*01:01-B*08:01-DRB1*04:01 | | Israel USSR Jews | 0.0374 | | 45,681 |
|
35 | A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
36 | A*11:01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
37 | A*32:01:01-B*08:01:01-C*07:02:01:01-DRB1*04:01:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
38 | A*24:07-B*08:01-C*07:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0308 | | 2,492 |
|
39 | A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*02:01 | | Germany DKMS - German donors | 0.0263 | | 3,456,066 |
|
40 | A*25:01-B*08:01-C*07:01-DRB1*04:01 | | Germany DKMS - Croatia minority | 0.0240 | | 2,057 |
|
41 | A*02:11-B*08:01-C*07:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
42 | A*03:02-B*08:01-DRB1*04:01 | | Israel Ashkenazi Jews pop 3 | 0.0177 | | 4,625 |
|
43 | A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:02 | | Germany DKMS - German donors | 0.0173 | | 3,456,066 |
|
44 | A*01:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*03:01 | | Germany DKMS - German donors | 0.0156 | | 3,456,066 |
|
45 | A*03:02-B*08:01-DRB1*04:01 | | Israel Georgia Jews | 0.0126 | | 4,471 |
|
46 | A*03:01-B*08:01-C*07:02-DRB1*04:01-DQB1*03:02 | | Germany DKMS - Turkey minority | 0.0120 | | 4,856 |
|
47 | A*02:01-B*08:01-DRB1*04:01 | | Israel Argentina Jews | 0.0116 | | 4,307 |
|
48 | A*02:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
49 | A*34:02-B*08:01-C*07:01-DRB1*04:01-DQB1*03:01 | | USA African American pop 4 | 0.0110 | | 2,411 |
|
50 | A*02:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0107 | | 3,456,066 |
|
51 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0106 | | 23,595 |
|
52 | A*02:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0103 | | 23,595 |
|
53 | A*03:01-B*08:01-C*07:01-DRB1*04:01-DQB1*03:02 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
54 | A*01:01-B*08:01-DRB1*04:01 | | Hong Kong Chinese cord blood registry | 0.0094 | | 3,892 |
|
55 | A*02:17-B*08:01-DRB1*04:01 | | Israel Ashkenazi Jews pop 3 | 0.0091 | | 4,625 |
|
56 | A*26:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0059 | | 23,595 |
|
57 | A*23:01-B*08:01-C*07:01-DRB1*04:01 | | Poland DKMS | 0.0045 | | 20,653 |
|
58 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*02:01:01 | | Poland BMR | 0.0043 | | 23,595 |
|
59 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*05:04 | | Poland BMR | 0.0042 | | 23,595 |
|
60 | A*02:17-B*08:01-DRB1*04:01 | | Israel Morocco Jews | 0.0041 | | 36,718 |
|
61 | A*23:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
62 | A*03:02-B*08:01-C*07:02-DRB1*04:01 | | Poland DKMS | 0.0030 | | 20,653 |
|
63 | A*01:01-B*08:01-DRB1*04:01 | | Israel Morocco Jews | 0.0026 | | 36,718 |
|
64 | A*24:02-B*08:01-C*07:01-DRB1*04:01 | | Poland DKMS | 0.0025 | | 20,653 |
|
65 | A*02:01-B*08:01-C*02:02-DRB1*04:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
66 | A*32:01-B*08:01-C*07:01-DRB1*04:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
67 | A*25:01-B*08:01-DRB1*04:01 | | Israel USSR Jews | 0.0022 | | 45,681 |
|
68 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
69 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*04:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
70 | A*02:01:01-B*08:01:01-C*04:09N-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
71 | A*02:06:01-B*08:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
72 | A*24:02:01-B*08:01:01-C*03:04:01-DRB1*04:01:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
73 | A*32:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
74 | A*66:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0020 | | 23,595 |
|
75 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*06:03:01 | | Poland BMR | 0.0020 | | 23,595 |
|
76 | A*03:02-B*08:01-DRB1*04:01 | | Israel USSR Jews | 0.0019 | | 45,681 |
|
77 | A*23:01-B*08:01-DRB1*04:01 | | Israel USSR Jews | 0.0018 | | 45,681 |
|
78 | A*24:22-B*08:01-DRB1*04:01 | | Israel Poland Jews | 0.0018 | | 13,871 |
|
79 | A*24:30-B*08:01-DRB1*04:01 | | Israel Poland Jews | 0.0018 | | 13,871 |
|
80 | A*68:02-B*08:01-DRB1*04:01 | | Israel USSR Jews | 0.0014 | | 45,681 |
|
81 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*06:02:01 | | Poland BMR | 0.0013 | | 23,595 |
|
82 | A*02:17-B*08:01-DRB1*04:01 | | Israel USSR Jews | 0.0011 | | 45,681 |
|
* 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).