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Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
30,201 |
A*80 |  | Mexico Veracruz, Xalapa | | 0.0027 |  | 187 | See |  |  |
|
30,202 |
A*80 |  | Mexico Yucatan Rural | | 0 |  | 132 | See |  |  |
|
30,203 |
A*80 |  | Mexico Yucatan, Merida | | 0 |  | 192 | See |  |  |
|
30,204 |
A*80 |  | Mexico Zacatecas Rural | | 0 |  | 266 | See |  |  |
|
30,205 |
A*80 |  | Mexico Zacatecas, Fresnillo | | 0 |  | 103 | See |  |  |
|
30,206 |
A*80 |  | Mexico Zacatecas, Zacatecas city | | 0 |  | 84 | See |  |  |
|
30,207 |
A*80 |  | Morocco pop 2 | | 0.0090 |  | 110 | See |  |  | |
30,208 |
A*80 |  | Mozambique | | 0.0070 |  | 202 | See |  |  | |
30,209 |
A*80 |  | Nigeria | 1.6 | 0.0078 |  | 258 | See |  |  | |
30,210 |
A*80 |  | Pakistan Burusho | | 0 |  | 92 | See |  |  | |
30,211 |
A*80 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
30,212 |
A*80 |  | Pakistan Mixed Sindhi | | 0 |  | 101 | See |  |  | |
30,213 |
A*80 |  | Peru Arequipa Mestizo | 1.4 | 0.0070 |  | 168 | See |  |  | |
30,214 |
A*80 |  | Portugal Aveiro | | 0.0010 |  | 5,933 | See |  |  | |
30,215 |
A*80 |  | Portugal Beja | | 0.0010 |  | 699 | See |  |  | |
30,216 |
A*80 |  | Portugal Braga | | 0.0010 |  | 1,971 | See |  |  | |
30,217 |
A*80 |  | Portugal Bragança | | 0.0020 |  | 301 | See |  |  | |
30,218 |
A*80 |  | Portugal Castelo Branco | | 0 |  | 327 | See |  |  | |
30,219 |
A*80 |  | Portugal Center pop 2 | | 0.0010 |  | 562 | See |  |  | |
30,220 |
A*80 |  | Portugal Coimbra | | 0.0010 |  | 5,057 | See |  |  | |
30,221 |
A*80 |  | Portugal Evora | | 0.0030 |  | 737 | See |  |  | |
30,222 |
A*80 |  | Portugal Faro | | 0.0010 |  | 1,242 | See |  |  | |
30,223 |
A*80 |  | Portugal Guarda | | 0 |  | 797 | See |  |  | |
30,224 |
A*80 |  | Portugal Leiria | | 0.0010 |  | 1,847 | See |  |  | |
30,225 |
A*80 |  | Portugal Lisbon | | 0.0010 |  | 17,420 | See |  |  | |
30,226 |
A*80 |  | Portugal Portalegre | | 0 |  | 1,254 | See |  |  | |
30,227 |
A*80 |  | Portugal Porto | | 0.0010 |  | 7,937 | See |  |  | |
30,228 |
A*80 |  | Portugal Santarem | | 0.0010 |  | 3,865 | See |  |  | |
30,229 |
A*80 |  | Portugal Setubal | | 0.0010 |  | 5,268 | See |  |  | |
30,230 |
A*80 |  | Portugal South pop 2 | | 0 |  | 1,021 | See |  |  | |
30,231 |
A*80 |  | Portugal Viana do Castelo | | 0.0010 |  | 706 | See |  |  | |
30,232 |
A*80 |  | Portugal Vila Real | | 0 |  | 1,167 | See |  |  | |
30,233 |
A*80 |  | Portugal Viseu | | 0 |  | 2,915 | See |  |  | |
30,234 |
A*80 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
30,235 |
A*80 |  | Romania pop 3 | 0.1 | 0.0003 |  | 1,469 | See |  |  | |
30,236 |
A*80 |  | Russia Arkhangelsk Pomor | | 0 |  | 63 | See |  |  | |
30,237 |
A*80 |  | Russia Moscow | | 0 |  | 2,650 | See |  |  | |
30,238 |
A*80 |  | Russia Murmansk Saomi Mixed | | 0 |  | 70 | See |  |  | |
30,239 |
A*80 |  | Russia Nenet Mixed | | 0 |  | 55 | See |  |  | |
30,240 |
A*80 |  | Russia Northwest pop 3 | 0.0 | 0 |  | 100 | See |  |  | |
30,241 |
A*80 |  | Russia South Ural Bashkir | 0.0 | 0 |  | 146 | See |  |  | |
30,242 |
A*80 |  | Russia South Ural Russian | 0.0 | 0 |  | 207 | See |  |  | |
30,243 |
A*80 |  | Russia South Ural Tatar | 0.0 | 0 |  | 135 | See |  |  | |
30,244 |
A*80 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
30,245 |
A*80 |  | South Africa Tswana | 2.4 | 0.0120 |  | 41 | See |  |  | |
30,246 |
A*80 |  | South Korea pop 1 | | 0 |  | 324 | See |  |  | |
30,247 |
A*80 |  | Spain Ibiza | | 0 |  | 88 | See |  |  | |
30,248 |
A*80 |  | Spain Majorca | | 0.0010 |  | 407 | See |  |  | |
30,249 |
A*80 |  | Spain Majorcans Jews | | 0 |  | 103 | See |  |  | |
30,250 |
A*80 |  | Spain Minorca | | 0.0110 |  | 94 | See |  |  | |
30,251 |
A*80 |  | Spain Murcia | | 0 |  | 173 | See |  |  | |
30,252 |
A*80 |  | Spain Sevilla | 0.4 | 0.0018 |  | 278 | See |  |  | |
30,253 |
A*80 |  | Spain, Castilla y Leon, Northwest, | 0.4 | 0.0020 |  | 1,743 | See |  |  |
|
30,254 |
A*80 |  | Trinidad African | | 0.0100 |  | 67 | See |  |  | |
30,255 |
A*80 |  | Trinidad South Asian | | 0 |  | 87 | See |  |  | |
30,256 |
A*80 |  | Turkey pop 5 | | 0.0070 |  | 142 | See |  |  | |
30,257 |
A*80 |  | United Arab Emirates pop 2 | 0.5 | 0.0030 |  | 373 | See |  |  | |
30,258 |
A*80 |  | USA OPTN African American | | 0.0100 |  | 1,510 | See |  |  | |
30,259 |
A*80 |  | USA OPTN Asian | | 0 |  | 261 | See |  |  | |
30,260 |
A*80 |  | USA OPTN Caucasian | | 0 |  | 8,525 | See |  |  | |
30,261 |
A*80 |  | USA OPTN Hispanic | | 0.0010 |  | 1,580 | See |  |  | |
30,262 |
A*80 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
30,263 |
A*80 |  | Venezuela Valencia and Maracaibo Caracus Mixed | | 0.0100 |  | 96 | See |  |  | |
30,264 |
A*80 |  | Wales | 0.0 | 0 |  | 1,798 | See |  |  | |
30,265 |
A*80 |  | Wales pop 2 | 0.0200 | 0.0010 |  | 39,979 | See |  |  | |
30,266 |
A*80:01 |  | Belgium | 0.1 | 0.0006 |  | 31,412 | See |  |  |
|
30,267 |
A*80:01 |  | Brazil Belo Horizonte Caucasian | 1.1 | 0.0050 |  | 95 | See |  |  | |
30,268 |
A*80:01 |  | Brazil Mixed | | 0.0050 |  | 108 | See |  |  | |
30,269 |
A*80:01 |  | Brazil Pernambuco Mixed | | 0.0050 |  | 101 | See |  |  | |
30,270 |
A*80:01 |  | Brazil Vale do Ribeira Quilombos | 0.0140 | 0 |  | 144 | See |  |  | |
30,271 |
A*80:01 |  | Bulgaria | | 0.0090 |  | 55 | See |  |  | |
30,272 |
A*80:01 |  | Burkina Faso Fulani | | 0.0100 |  | 49 | See |  |  | |
30,273 |
A*80:01 |  | Burkina Faso Mossi | | 0 |  | 53 | See |  |  | |
30,274 |
A*80:01 |  | Burkina Faso Rimaibe | | 0 |  | 47 | See |  |  | |
30,275 |
A*80:01 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
30,276 |
A*80:01 |  | Cameroon Bakola Pygmy | 2.0 | 0.0100 |  | 50 | See |  |  | |
30,277 |
A*80:01 |  | Cameroon Bamileke | | 0.0190 |  | 77 | See |  |  | |
30,278 |
A*80:01 |  | Cameroon Beti | | 0.0060 |  | 174 | See |  |  | |
30,279 |
A*80:01 |  | Cameroon Sawa | | 0 |  | 13 | See |  |  | |
30,280 |
A*80:01 |  | Cape Verde Northwestern Islands | | 0 |  | 62 | See |  |  | |
30,281 |
A*80:01 |  | Cape Verde Southeastern Islands | | 0.0080 |  | 62 | See |  |  | |
30,282 |
A*80:01 |  | Central African Republic Mbenzele Pygmy | 0.0 | 0 |  | 36 | See |  |  | |
30,283 |
A*80:01 |  | Chile Mapuche | | 0.0077 |  | 66 | See |  |  |
|
30,284 |
A*80:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
30,285 |
A*80:01 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
30,286 |
A*80:01 |  | Colombia Bogotá Cord Blood | 0.1 | 0.0007 |  | 1,463 | See |  |  | |
30,287 |
A*80:01 |  | Croatia pop 4 | | 0.0007 |  | 4,000 | See |  |  | |
30,288 |
A*80:01 |  | Cuba Caucasian | 0.0 | 0 |  | 70 | See |  |  | |
30,289 |
A*80:01 |  | Cuba Mixed Race | 0.0 | 0 |  | 42 | See |  |  | |
30,290 |
A*80:01 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
30,291 |
A*80:01 |  | Czech Republic NMDR | | 0.0002 |  | 5,099 | See |  |  | |
30,292 |
A*80:01 |  | Ecuador Amerindians | | 0.0079 |  | 63 | See |  |  |
|
30,293 |
A*80:01 |  | England Manchester | 0.1 | 0.0005 |  | 1,640 | See |  |  | |
30,294 |
A*80:01 |  | France Corsica Island | | 0 |  | 100 | See |  |  | |
30,295 |
A*80:01 |  | France Grenoble, Nantes and Rennes | | 0 |  | 6,094 | See |  |  | |
30,296 |
A*80:01 |  | France Rennes pop 3 | | 0 |  | 200 | See |  |  | |
30,297 |
A*80:01 |  | Germany DKMS - Croatia minority | | 0.0005 |  | 2,057 | See |  |  | |
30,298 |
A*80:01 |  | Germany DKMS - France minority | | 0.0011 |  | 1,406 | See |  |  | |
30,299 |
A*80:01 |  | Germany DKMS - German donors | | 0.0002 |  | 3,456,066 | See |  |  |
|
30,300 |
A*80:01 |  | Germany DKMS - Greece minority | | 0.0003 |  | 1,894 | See |  |  | |
Notes:
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* % of individuals that have the allele: Percentage of individuals who have the allele in the population (Individuals / n).
* Allele Frequencies shown in
green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
AF = 1-square_root(1-PF)
PF = 1-(1-AF)
2
AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
* Allele Frequencies marked with (*) were calculated from all alleles in the corresponding
G group.
¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.
Displaying 30,201 to 30,300
(from 30,451) records |
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