Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | B*58:01-C*07:01 | | Mexico Oaxaca Zapotec | 22.0000 | | 90 |
|
2 | B*58-C*03 | | Pakistan Baloch | 13.4000 | | 66 |
|
3 | B*58:02-C*06:02 | | Kenya Luo | 11.7000 | | 265 |
|
4 | A*33-B*58-C*03 | | Pakistan Baloch | 11.1000 | | 66 |
|
5 | B*58:01-C*03:02 | | Taiwan Hakka | 10.9000 | | 55 |
|
6 | A*33-B*58 | | Pakistan Baloch | 10.8000 | | 66 |
|
7 | B*58:02-C*06:02 | | Uganda Kampala pop 2 | 10.3000 | | 175 |
|
8 | B*58:01-C*03:02 | | Taiwan Minnan pop 1 | 8.8000 | | 102 |
|
9 | B*58:02-C*06:02 | | Kenya Nandi | 8.5000 | | 240 |
|
10 | A*33:03-B*58:01-DRB1*03:01 | | Taiwan Tzu Chi Morrow Donor Registry | 8.3610 | | 46,682 |
|
11 | A*33:03-B*58:01 | | Taiwan Hakka | 8.2000 | | 55 |
|
12 | A*33-B*58-DRB1*03 | | Pakistan Baloch | 8.2000 | | 66 |
|
13 | A*33:03-B*58:01 | | Singapore Chinese | 8.0000 | | 149 |
|
14 | A*33:03-B*58:01 | | Taiwan Minnan pop 1 | 7.8000 | | 102 |
|
15 | A*33:03-B*58:01-C*03:02 | | China Southwest Dai | 7.7000 | | 124 |
|
16 | A*33:03-B*58:01-C*03:02 | | China Canton Han | 7.4000 | | 264 |
|
17 | B*58:01-C*03:02 | | USA Asian | 7.2000 | | 358 |
|
18 | A*33:03-B*58:01-DRB1*03:01 | | Taiwan Tzu Chi Cord Blood Bank | 6.6000 | | 710 |
|
19 | A*33-B*58-C*03 | | Malaysia Perak Rawa | 6.5000 | | 23 |
|
20 | A*33:03-B*58:01 | | Hong Kong Chinese | 6.4000 | | 569 |
|
21 | B*58:01-DRB1*03:01:01 | | Taiwan Hakka | 6.4000 | | 55 |
|
22 | A*33:03-B*58:01 | | USA Asian | 6.1000 | | 358 |
|
23 | A*33:03-B*58:01-DRB1*03:01 | | Malaysia Patani | 6.0000 | | 25 |
|
24 | A*33:03-B*58:01-C*03:02 | | USA Asian | 5.9000 | | 358 |
|
25 | A*33:03-B*58:01-C*03:02 | | South Korea pop 3 | 5.8000 | | 485 |
|
26 | B*58-C*03 | | Pakistan Mixed Pathan | 5.8000 | | 100 |
|
27 | B*58:01-C*03:02 | | USA Asian pop 2 | 5.5430 | | 1,772 |
|
28 | A*33-B*58-C*03:02 | | South Korea pop 1 | 5.4000 | | 324 |
|
29 | B*58-C*03 | | Pakistan Brahui | 5.3000 | | 104 |
|
30 | A*66:01-B*58:02-C*06:02 | | Kenya Luo | 5.1000 | | 265 |
|
31 | A*33:03:01-B*58:01:01-C*03:02:02 | | South African Indian population | 5.0000 | | 50 |
|
32 | A*33:03-B*58:01 | | Taiwan Thao | 5.0000 | | 30 |
|
33 | B*58:01-C*03:02 | | Taiwan Thao | 5.0000 | | 30 |
|
34 | B*58:01-DRB1*03:01:01 | | Taiwan Thao | 5.0000 | | 30 |
|
35 | A*02-B*58:01-C*07 | | Italy Sardinia pop3 | 4.9000 | | 100 |
|
36 | A*66:01-B*58:02 | | Kenya Luo | 4.9000 | | 265 |
|
37 | B*58:01-C*03:02 | | Taiwan Siraya | 4.9000 | | 51 |
|
38 | B*58:01-DRB1*03:01:01 | | Taiwan Minnan pop 1 | 4.9000 | | 102 |
|
39 | A*33:03-B*58:01-C*03:02-DRB1*03:01 | | Hong Kong Chinese BMDR | 4.6429 | | 7,595 |
|
40 | A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01 | | USA NMDP Chinese | 4.6005 | | 99,672 |
|
41 | A*33-B*58 | | Pakistan Burusho | 4.6000 | | 92 |
|
42 | A*33-B*58-C*03 | | Pakistan Burusho | 4.6000 | | 92 |
|
43 | A*33-B*58-DRB1*03 | | Thailand pop 4 | 4.5400 | | 16,807 |
|
44 | A*33:03-B*58:01 | | USA Asian pop 2 | 4.5310 | | 1,772 |
|
45 | B*58-C*03 | | Pakistan Mixed Sindhi | 4.5000 | | 101 |
|
46 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Vietnam Kinh | 4.4550 | | 101 |
|
47 | A*33:03-B*58:01-C*03:02-DRB1*03:01 | | China Southwest Dai | 4.4000 | | 124 |
|
48 | A*33:03-B*58:01-DRB1*03:01 | | China Southwest Dai | 4.4000 | | 124 |
|
49 | B*58:01-C*03:02-DRB1*03:01 | | China Southwest Dai | 4.4000 | | 124 |
|
50 | B*58:02-C*06:02 | | Uganda Kampala | 4.4000 | | 161 |
|
51 | A*33-B*58 | | Pakistan Kalash | 4.3000 | | 69 |
|
52 | A*33-B*58-DRB1*03 | | Pakistan Kalash | 4.3000 | | 69 |
|
53 | B*58:01-C*07:01 | | Kenya Luo | 4.3000 | | 265 |
|
54 | A*33:03-B*58:01-DRB1*03:01 | | Hong Kong Chinese cord blood registry | 4.2004 | | 3,892 |
|
55 | B*58:01-C*03:02 | | Kenya Nandi | 4.2000 | | 240 |
|
56 | B*58:01-C*07:01 | | Kenya Nandi | 4.2000 | | 240 |
|
57 | A*33-B*58-C*03-DRB1*03 | | Myanmar Rakhine | 4.1670 | | 48 |
|
58 | A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01 | | Malaysia Peninsular Chinese | 4.1237 | | 194 |
|
59 | A*02-B*58-DRB1*11 | | Mozambique | 4.1000 | | 202 |
|
60 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01 | | China Zhejiang Han | 4.0152 | | 1,734 |
|
61 | A*03:01:01-B*58:02-DRB1*03:01:01 | | Cape Verde Northwestern Islands | 4.0000 | | 62 |
|
62 | B*58:02-C*06:02 | | USA African American pop 4 | 3.9640 | | 2,411 |
|
63 | A*01:01-B*58:01-C*07:01:01 | | India Mumbai Maratha | 3.9000 | | 91 |
|
64 | A*33:03-B*58:01-C*03:02-DRB1*03:01 | | Taiwan pop 2 | 3.9000 | | 364 |
|
65 | B*58:01-DRB1*03:01:01 | | Taiwan Siraya | 3.9000 | | 51 |
|
66 | A*33-B*58-DRB1*03 | | United Arab Emirates | 3.8000 | | 298 |
|
67 | A*33-B*58-C*03-DRB1*15 | | Myanmar Shan | 3.7040 | | 54 |
|
68 | A*33:03-B*58:01-DRB1*03:01 | | China Guangxi Region Maonan | 3.7000 | | 108 |
|
69 | A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01 | | USA NMDP Vietnamese | 3.6681 | | 43,540 |
|
70 | A*33:03-B*58:01 | | Taiwan Pazeh | 3.6000 | | 55 |
|
71 | B*58:01-C*03:02 | | Taiwan Pazeh | 3.6000 | | 55 |
|
72 | B*58:01-DRB1*03:01:01 | | Taiwan Pazeh | 3.6000 | | 55 |
|
73 | B*58:01-DRB1*13:02 | | Taiwan Hakka | 3.6000 | | 55 |
|
74 | A*30-B*58 | | Mongolia Tarialan Khoton | 3.5000 | | 85 |
|
75 | A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01 | | Vietnam Hanoi Kinh pop 2 | 3.5000 | | 170 |
|
76 | B*58:01-C*07:01 | | Tunisia | 3.5000 | | 100 |
|
77 | A*33:03-B*58:01-DRB1*03:01 | | Malaysia Champa | 3.4483 | | 29 |
|
78 | A*33-B*58 | | Pakistan Mixed Pathan | 3.4000 | | 100 |
|
79 | B*58:01-DRB1*13:02 | | Taiwan Minnan pop 1 | 3.4000 | | 102 |
|
80 | B*58:02-C*06:02 | | USA African American | 3.4000 | | 252 |
|
81 | B*58:01-C*03:02-DRB1*13:02 | | South Korea pop 3 | 3.3000 | | 485 |
|
82 | B*58:01-DRB1*13:02-DQB1*06:09 | | South Korea pop 3 | 3.3000 | | 485 |
|
83 | A*33-B*58-DRB1*03 | | Pakistan Burusho | 3.2000 | | 92 |
|
84 | B*58:01-C*07:01 | | USA African American | 3.2000 | | 252 |
|
85 | A*30:02-B*58:02-DRB1*03:02 | | Sao Tome Island Angolar | 3.1000 | | 32 |
|
86 | A*33-B*58-DRB1*13:02 | | South Korea pop 1 | 3.1000 | | 324 |
|
87 | A*30-B*58:01-C*07 | | France Corsica Island | 3.0000 | | 100 |
|
88 | A*33:03-B*58:01-C*03:02-DRB1*03:01 | | China Yunnan Province Han | 3.0000 | | 101 |
|
89 | A*33:03-B*58:01-C*03:02-DRB1*13:02 | | China Yunnan Province Han | 3.0000 | | 101 |
|
90 | A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09 | | South Korea pop 3 | 3.0000 | | 485 |
|
91 | A*33:03-B*58:01-DRB1*13:02 | | South Korea pop 3 | 3.0000 | | 485 |
|
92 | A*33:03-B*58:01-DRB1*13:02 | | South Korea pop 10 | 3.0000 | | 4,128 |
|
93 | A*33-B*58-C*03 | | Pakistan Mixed Pathan | 3.0000 | | 100 |
|
94 | A*33-B*58-DRB1*03 | | Malaysia pop 3 | 3.0000 | | 1,445 |
|
95 | A*33:03-B*58:01 | | Taiwan Siraya | 2.9000 | | 51 |
|
96 | A*33:03-B*58:01-C*03:02-DRB1*03:01 | | Iran Baloch | 2.9000 | | 100 |
|
97 | A*33-B*58-C*03 | | Pakistan Brahui | 2.9000 | | 104 |
|
98 | A*33-B*58-DRB1*03 | | Philippines National Capital Region | 2.9000 | | 51 |
|
99 | A*66:01-B*58:02 | | Kenya Nandi | 2.9000 | | 240 |
|
100 | A*66:01-B*58:02-C*06:02 | | Kenya Nandi | 2.9000 | | 240 |
|
* 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).