Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Tunisia | 9.0000 | | 100 |
|
2 | B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Ireland South | 5.0000 | | 250 |
|
3 | B*57:01-C*06:02 | | USA Caucasian pop 2 | 4.0000 | | 265 |
|
4 | B*57:01-C*06:02 | | Ireland Northern | 3.7000 | | 1,000 |
|
5 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 3.6904 | | 11,446 |
|
6 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 3.6348 | | 2,492 |
|
7 | A*01:01-B*57:01-C*06:02 | | Ireland South | 3.5000 | | 250 |
|
8 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03 | | Brazil Puyanawa | 3.3333 | | 150 |
|
9 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Malaysia Peninsular Indian | 3.3210 | | 271 |
|
10 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Andhra Pradesh Telugu Speaking | 3.1035 | | 186 |
|
11 | A*01:01:01-B*57:01:01-C*06:02:01 | | South African Mixed ancestry | 3.0000 | | 50 |
|
12 | A*01:01:01-B*57:01:01-C*06:02:01 | | South African Indian population | 3.0000 | | 50 |
|
13 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:02 | | Tunisia | 3.0000 | | 100 |
|
14 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Ireland South | 3.0000 | | 250 |
|
15 | B*57:01-C*06:02 | | Tunisia | 2.5000 | | 100 |
|
16 | A*01-B*57-C*06:02 | | England London Ashkenazi Jews | 2.4000 | | 500 |
|
17 | A*01:01:01-B*57:01:01-C*06:02:01 | | England Blood Donors of Mixed Ethnicity | 2.2987 | | 519 |
|
18 | A*01:01:01-B*57:01:01-C*06:02-DRB1*07:01 | | South Africa Caucasians | 2.2200 | | 102 |
|
19 | A*01:01-B*57:01-C*06:02 | | USA Caucasian pop 2 | 2.2000 | | 265 |
|
20 | B*57:01-C*06:02 | | Uganda Kampala | 2.2000 | | 161 |
|
21 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03 | | USA NMDP South Asian Indian | 2.1760 | | 185,391 |
|
22 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | India West UCBB | 2.1605 | | 5,829 |
|
23 | A*01:01:01-B*57:01-C*06:02-DRB1*04:02-DQA1*03:01-DQB1*03:02 | | Morocco Atlantic Coast Chaouya | 2.1000 | | 98 |
|
24 | A*01:01-B*57:01-C*06:02 | | Ireland Northern | 2.1000 | | 1,000 |
|
25 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Vietnam Hanoi Kinh pop 2 | 2.1000 | | 170 |
|
26 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 2.0680 | | 356 |
|
27 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Karnataka Kannada Speaking | 2.0110 | | 174 |
|
28 | B*57:01-C*06:02 | | USA Asian pop 2 | 1.9900 | | 1,772 |
|
29 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | India East UCBB | 1.9642 | | 2,403 |
|
30 | A*01:01-B*57:01-C*06:02 | | Italy pop 5 | 1.8100 | | 975 |
|
31 | A*01:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 1.8000 | | 298 |
|
32 | B*57:01-C*06:02 | | USA North American Native | 1.8000 | | 187 |
|
33 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | India Central UCBB | 1.5366 | | 4,204 |
|
34 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01 | | Ireland South | 1.5000 | | 250 |
|
35 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03 | | USA NMDP Southeast Asian | 1.4914 | | 27,978 |
|
36 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*05:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
37 | A*01:01-B*57:01-C*06:02-DRB1*07:01 | | USA Italy Ancestry | 1.4650 | | 273 |
|
38 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01 | | India Karnataka Kannada Speaking | 1.4370 | | 174 |
|
39 | A*01:01-B*57:01-C*06:02-DRB1*07:01 | | Italy pop 5 | 1.4100 | | 975 |
|
40 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 1.3669 | | 5,849 |
|
41 | B*57:01-C*06:02 | | Italy pop 5 | 1.3400 | | 975 |
|
42 | A*01:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - Austria minority | 1.3270 | | 1,698 |
|
43 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01 | | Sri Lanka Colombo | 1.2605 | | 714 |
|
44 | A*01:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - United Kingdom minority | 1.2040 | | 1,043 |
|
45 | A*01:01-B*57:01-C*06:02 | | Uganda Kampala | 1.2000 | | 161 |
|
46 | A*02:01-B*57:01-C*06:02 | | Ireland South | 1.2000 | | 250 |
|
47 | A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Ireland South | 1.2000 | | 250 |
|
48 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Spain, Canary Islands, Gran canaria island | 1.1600 | | 215 |
|
49 | A*01:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - Netherlands minority | 1.1410 | | 1,374 |
|
50 | A*02:01:01-B*57:01:01-C*06:02:01 | | England Blood Donors of Mixed Ethnicity | 1.1377 | | 519 |
|
51 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*04:04:01-DQB1*03:02 | | Costa Rica Central Valley Mestizo (G) | 1.1312 | | 221 |
|
52 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 1.1181 | | 186 |
|
53 | B*57:01-C*06:02 | | USA Hispanic | 1.1000 | | 234 |
|
54 | A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Andhra Pradesh Telugu Speaking | 1.0944 | | 186 |
|
55 | A*01:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - France minority | 1.0730 | | 1,406 |
|
56 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01 | | USA San Diego | 1.0420 | | 496 |
|
57 | A*26:08-B*57:01-C*06:02-DRB1*01:01 | | Brazil Vale do Ribeira Quilombos | 1.0417 | | 144 |
|
58 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | India Northeast UCBB | 1.0135 | | 296 |
|
59 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01 | | Poland | 1.0000 | | 200 |
|
60 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Poland | 1.0000 | | 200 |
|
61 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01 | | Ireland South | 1.0000 | | 250 |
|
62 | A*02:06:01-B*57:01:01-C*06:02:01 | | South African Indian population | 1.0000 | | 50 |
|
63 | A*02:11:01-B*57:01:01-C*06:02:01 | | South African Indian population | 1.0000 | | 50 |
|
64 | A*34:01:01-B*57:01:01-C*06:02:01 | | South African Mixed ancestry | 1.0000 | | 50 |
|
65 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Italy pop 5 | 0.9600 | | 975 |
|
66 | A*30:02-B*57:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*03:03 | | United Arab Emirates Abu Dhabi | 0.9600 | | 52 |
|
67 | A*01:01-B*57:01-C*06:02-DRB1*14:04-DQB1*05:03 | | Malaysia Peninsular Indian | 0.9225 | | 271 |
|
68 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP South Asian Indian | 0.9040 | | 185,391 |
|
69 | A*01:01-B*57:01-C*06:02-DRB1*01:01-DQB1*05:01 | | Italy pop 5 | 0.8800 | | 975 |
|
70 | A*02:01-B*57:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*03:03:02 | | Portugal Azores Terceira Island | 0.8772 | | 130 |
|
71 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Vietnamese | 0.8648 | | 43,540 |
|
72 | A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.8643 | | 2,492 |
|
73 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01 | | India Karnataka Kannada Speaking | 0.8620 | | 174 |
|
74 | B*57:01-C*06:02 | | USA Hispanic pop 2 | 0.8520 | | 1,999 |
|
75 | A*02:01-B*57:01-C*06:02-DRB1*07:01 | | Poland DKMS | 0.8442 | | 20,653 |
|
76 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.8403 | | 119 |
|
77 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03 | | USA NMDP European Caucasian | 0.8280 | | 1,242,890 |
|
78 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03 | | USA NMDP Vietnamese | 0.8048 | | 43,540 |
|
79 | A*02:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.7956 | | 23,595 |
|
80 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Germany DKMS - Italy minority | 0.7880 | | 1,159 |
|
81 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03 | | USA NMDP North American Amerindian | 0.7823 | | 35,791 |
|
82 | A*02:61-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | Iran Gorgan | 0.7800 | | 64 |
|
83 | A*24:02-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03 | | Iran Gorgan | 0.7800 | | 64 |
|
84 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01 | | Sri Lanka Colombo | 0.7703 | | 714 |
|
85 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03 | | USA Asian pop 2 | 0.7550 | | 1,772 |
|
86 | A*02:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - Croatia minority | 0.7470 | | 2,057 |
|
87 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.7315 | | 23,595 |
|
88 | A*02:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - Netherlands minority | 0.7250 | | 1,374 |
|
89 | A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01 | | Russia Karelia | 0.7198 | | 1,075 |
|
90 | A*01:01-B*57:01-C*06:02-DRB1*07:01 | | Poland DKMS | 0.7176 | | 20,653 |
|
91 | A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.7043 | | 1,510 |
|
92 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*09:01 | | Sri Lanka Colombo | 0.7003 | | 714 |
|
93 | A*02:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - Bosnia and Herzegovina minority | 0.6980 | | 1,028 |
|
94 | A*02:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - United Kingdom minority | 0.6890 | | 1,043 |
|
95 | A*01:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - Romania minority | 0.6880 | | 1,234 |
|
96 | A*01-B*57-C*06:02-DRB1*07:01-DQB1*03 | | Russia Transbaikal Territory Buryats | 0.6670 | | 150 |
|
97 | A*01:01-B*57:01-C*06:02-DRB1*07:01 | | Germany DKMS - Bosnia and Herzegovina minority | 0.6570 | | 1,028 |
|
98 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Southeast Asian | 0.6335 | | 27,978 |
|
99 | A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*26:01 | | Sri Lanka Colombo | 0.6303 | | 714 |
|
100 | A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Andhra Pradesh Telugu Speaking | 0.5980 | | 186 |
|
* 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).