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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 | Brazil Para State | 15.1 | 0.0672 | 5,000 | 6_0_S_52_0_W |
| 2 | A*02 | Brazil Para State | 42.8 | 0.2380 | 5,000 | 6_0_S_52_0_W |
| 3 | A*03 | Brazil Para State | 14.4 | 0.0682 | 5,000 | 6_0_S_52_0_W |
| 4 | A*11 | Brazil Para State | 8.9 | 0.0390 | 5,000 | 6_0_S_52_0_W |
| 5 | A*23 | Brazil Para State | 11.2 | 0.0600 | 5,000 | 6_0_S_52_0_W |
| 6 | A*24 | Brazil Para State | 22.1 | 0.1241 | 5,000 | 6_0_S_52_0_W |
| 7 | A*25 | Brazil Para State | 0.8 | 0.0080 | 5,000 | 6_0_S_52_0_W |
| 8 | A*26 | Brazil Para State | 5.9 | 0.0304 | 5,000 | 6_0_S_52_0_W |
| 9 | A*29 | Brazil Para State | 9.2 | 0.0440 | 5,000 | 6_0_S_52_0_W |
| 10 | A*30 | Brazil Para State | 10.0 | 0.0510 | 5,000 | 6_0_S_52_0_W |
| 11 | A*31 | Brazil Para State | 18.4 | 0.0951 | 5,000 | 6_0_S_52_0_W |
| 12 | A*32 | Brazil Para State | 4.9 | 0.0250 | 5,000 | 6_0_S_52_0_W |
| 13 | A*33 | Brazil Para State | 5.2 | 0.0290 | 5,000 | 6_0_S_52_0_W |
| 14 | A*34 | Brazil Para State | 1.0 | 0.0098 | 5,000 | 6_0_S_52_0_W |
| 15 | A*36 | Brazil Para State | 0.4 | 0.0043 | 5,000 | 6_0_S_52_0_W |
| 16 | A*43 | Brazil Para State | 0.0 | 0.0001 | 5,000 | 6_0_S_52_0_W |
| 17 | A*66 | Brazil Para State | 0.9 | 0.0090 | 5,000 | 6_0_S_52_0_W |
| 18 | A*68 | Brazil Para State | 13.9 | 0.0710 | 5,000 | 6_0_S_52_0_W |
| 19 | A*69 | Brazil Para State | 0.2 | 0.0020 | 5,000 | 6_0_S_52_0_W |
| 20 | A*74 | Brazil Para State | 1.3 | 0.0130 | 5,000 | 6_0_S_52_0_W |
| 21 | A*80 | Brazil Para State | 0.2 | 0.0020 | 5,000 | 6_0_S_52_0_W |
| 22 | B*07 | Brazil Para State | 9.4 | 0.0550 | 5,000 | 6_0_S_52_0_W |
| 23 | B*08 | Brazil Para State | 6.8 | 0.0360 | 5,000 | 6_0_S_52_0_W |
| 24 | B*13 | Brazil Para State | 1.1 | 0.0109 | 5,000 | 6_0_S_52_0_W |
| 25 | B*14 | Brazil Para State | 9.3 | 0.0500 | 5,000 | 6_0_S_52_0_W |
| 26 | B*15 | Brazil Para State | 19.4 | 0.1036 | 5,000 | 6_0_S_52_0_W |
| 27 | B*18 | Brazil Para State | 6.1 | 0.0330 | 5,000 | 6_0_S_52_0_W |
| 28 | B*27 | Brazil Para State | 1.8 | 0.0180 | 5,000 | 6_0_S_52_0_W |
| 29 | B*35 | Brazil Para State | 27.3 | 0.1520 | 5,000 | 6_0_S_52_0_W |
| 30 | B*37 | Brazil Para State | 0.8 | 0.0076 | 5,000 | 6_0_S_52_0_W |
| 31 | B*38 | Brazil Para State | 4.2 | 0.0200 | 5,000 | 6_0_S_52_0_W |
| 32 | B*39 | Brazil Para State | 12.7 | 0.0637 | 5,000 | 6_0_S_52_0_W |
| 33 | B*40 | Brazil Para State | 12.6 | 0.0650 | 5,000 | 6_0_S_52_0_W |
| 34 | B*41 | Brazil Para State | 1.0 | 0.0100 | 5,000 | 6_0_S_52_0_W |
| 35 | B*42 | Brazil Para State | 1.3 | 0.0130 | 5,000 | 6_0_S_52_0_W |
| 36 | B*44 | Brazil Para State | 17.1 | 0.0960 | 5,000 | 6_0_S_52_0_W |
| 37 | B*45 | Brazil Para State | 3.9 | 0.0178 | 5,000 | 6_0_S_52_0_W |
| 38 | B*46 | Brazil Para State | 0.0 | 0.0002 | 5,000 | 6_0_S_52_0_W |
| 39 | B*47 | Brazil Para State | 0.2 | 0.0018 | 5,000 | 6_0_S_52_0_W |
| 40 | B*48 | Brazil Para State | 3.1 | 0.0148 | 5,000 | 6_0_S_52_0_W |
| 41 | B*49 | Brazil Para State | 4.8 | 0.0239 | 5,000 | 6_0_S_52_0_W |
| 42 | B*50 | Brazil Para State | 4.5 | 0.0226 | 5,000 | 6_0_S_52_0_W |
| 43 | B*51 | Brazil Para State | 15.7 | 0.0780 | 5,000 | 6_0_S_52_0_W |
| 44 | B*52 | Brazil Para State | 5.6 | 0.0280 | 5,000 | 6_0_S_52_0_W |
| 45 | B*53 | Brazil Para State | 4.2 | 0.0220 | 5,000 | 6_0_S_52_0_W |
| 46 | B*54 | Brazil Para State | 0.0 | 0.0003 | 5,000 | 6_0_S_52_0_W |
| 47 | B*55 | Brazil Para State | 0.8 | 0.0076 | 5,000 | 6_0_S_52_0_W |
| 48 | B*56 | Brazil Para State | 0.3 | 0.0030 | 5,000 | 6_0_S_52_0_W |
| 49 | B*57 | Brazil Para State | 3.8 | 0.0216 | 5,000 | 6_0_S_52_0_W |
| 50 | B*58 | Brazil Para State | 5.4 | 0.0260 | 5,000 | 6_0_S_52_0_W |
| 51 | B*73 | Brazil Para State | 0.1 | 0.0010 | 5,000 | 6_0_S_52_0_W |
| 52 | B*78 | Brazil Para State | 0.2 | 0.0020 | 5,000 | 6_0_S_52_0_W |
| 53 | B*81 | Brazil Para State | 0.0 | 0.0046 | 5,000 | 6_0_S_52_0_W |
| 54 | B*82 | Brazil Para State | 0.1 | 0.0010 | 5,000 | 6_0_S_52_0_W |
| 55 | DRB1*01 | Brazil Para State | 16.3 | 0.0869 | 5,000 | 6_0_S_52_0_W |
| 56 | DRB1*03 | Brazil Para State | 15.1 | 0.0754 | 5,000 | 6_0_S_52_0_W |
| 57 | DRB1*04 | Brazil Para State | 28.7 | 0.1500 | 5,000 | 6_0_S_52_0_W |
| 58 | DRB1*07 | Brazil Para State | 21.5 | 0.1123 | 5,000 | 6_0_S_52_0_W |
| 59 | DRB1*08 | Brazil Para State | 20.9 | 0.0977 | 5,000 | 6_0_S_52_0_W |
| 60 | DRB1*09 | Brazil Para State | 5.8 | 0.0270 | 5,000 | 6_0_S_52_0_W |
| 61 | DRB1*10 | Brazil Para State | 3.6 | 0.0189 | 5,000 | 6_0_S_52_0_W |
| 62 | DRB1*11 | Brazil Para State | 18.9 | 0.0946 | 5,000 | 6_0_S_52_0_W |
| 63 | DRB1*12 | Brazil Para State | 1.3 | 0.0129 | 5,000 | 6_0_S_52_0_W |
| 64 | DRB1*13 | Brazil Para State | 22.4 | 0.1219 | 5,000 | 6_0_S_52_0_W |
| 65 | DRB1*14 | Brazil Para State | 11.9 | 0.0648 | 5,000 | 6_0_S_52_0_W |
| 66 | DRB1*15 | Brazil Para State | 14.6 | 0.0749 | 5,000 | 6_0_S_52_0_W |
| 67 | DRB1*16 | Brazil Para State | 9.5 | 0.0627 | 5,000 | 6_0_S_52_0_W |
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.
support@allelefrequencies.net