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HLA » Allele Frequency Search
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| Line | Allele | Population | % of individuals that have the allele |
Allele Frequency |
Sample Size |
Location |
|---|---|---|---|---|---|---|
| 1 | A*01:01 | China Shanxi HIV negative | 0.0910 | 22 | 36_5_N_111_50_E | |
| 2 | A*02:01 | China Shanxi HIV negative | 0.2270 | 22 | 36_5_N_111_50_E | |
| 3 | A*02:03 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 4 | A*02:06 | China Shanxi HIV negative | 0.0450 | 22 | 36_5_N_111_50_E | |
| 5 | A*02:07 | China Shanxi HIV negative | 0.0680 | 22 | 36_5_N_111_50_E | |
| 6 | A*02:10 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 7 | A*03:01 | China Shanxi HIV negative | 0.0910 | 22 | 36_5_N_111_50_E | |
| 8 | A*11:01 | China Shanxi HIV negative | 0.1820 | 22 | 36_5_N_111_50_E | |
| 9 | A*23:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 10 | A*24:02 | China Shanxi HIV negative | 0.0680 | 22 | 36_5_N_111_50_E | |
| 11 | A*30:01 | China Shanxi HIV negative | 0.0910 | 22 | 36_5_N_111_50_E | |
| 12 | A*33:03 | China Shanxi HIV negative | 0.0450 | 22 | 36_5_N_111_50_E | |
| 13 | A*34:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 14 | B*13:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 15 | B*13:02 | China Shanxi HIV negative | 0.1140 | 22 | 36_5_N_111_50_E | |
| 16 | B*15:01 | China Shanxi HIV negative | 0.1140 | 22 | 36_5_N_111_50_E | |
| 17 | B*15:02:01 | China Shanxi HIV negative | 0.0450 | 22 | 36_5_N_111_50_E | |
| 18 | B*18:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 19 | B*35:01 | China Shanxi HIV negative | 0.0680 | 22 | 36_5_N_111_50_E | |
| 20 | B*35:03 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 21 | B*37:01 | China Shanxi HIV negative | 0.0450 | 22 | 36_5_N_111_50_E | |
| 22 | B*40:01 | China Shanxi HIV negative | 0.1140 | 22 | 36_5_N_111_50_E | |
| 23 | B*40:02 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 24 | B*40:06 | China Shanxi HIV negative | 0.0450 | 22 | 36_5_N_111_50_E | |
| 25 | B*44:02 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 26 | B*44:03 | China Shanxi HIV negative | 0.0450 | 22 | 36_5_N_111_50_E | |
| 27 | B*46:01 | China Shanxi HIV negative | 0.0680 | 22 | 36_5_N_111_50_E | |
| 28 | B*48:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 29 | B*51:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 30 | B*52:01 | China Shanxi HIV negative | 0.0680 | 22 | 36_5_N_111_50_E | |
| 31 | B*54:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 32 | B*55:02 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 33 | B*57:01 | China Shanxi HIV negative | 0.0450 | 22 | 36_5_N_111_50_E | |
| 34 | B*58:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 35 | C*01:02 | China Shanxi HIV negative | 0.1590 | 22 | 36_5_N_111_50_E | |
| 36 | C*03:02 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 37 | C*03:03 | China Shanxi HIV negative | 0.0680 | 22 | 36_5_N_111_50_E | |
| 38 | C*03:04 | China Shanxi HIV negative | 0.1590 | 22 | 36_5_N_111_50_E | |
| 39 | C*04:01 | China Shanxi HIV negative | 0.0680 | 22 | 36_5_N_111_50_E | |
| 40 | C*05:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 41 | C*06:02 | China Shanxi HIV negative | 0.2050 | 22 | 36_5_N_111_50_E | |
| 42 | C*07:01 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 43 | C*07:02 | China Shanxi HIV negative | 0.0450 | 22 | 36_5_N_111_50_E | |
| 44 | C*07:06 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 45 | C*07:27 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 46 | C*08:01 | China Shanxi HIV negative | 0.1140 | 22 | 36_5_N_111_50_E | |
| 47 | C*12:02 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 48 | C*12:03 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E | |
| 49 | C*14:02 | China Shanxi HIV negative | 0.0230 | 22 | 36_5_N_111_50_E |
Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.
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