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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 |
23,301 |
A*33:03 | | Armenia combined Regions | | 0.0100 | | 100 | See | | | |
23,302 |
A*33:03 | | Australia New South Wales Caucasian | | 0.0040 | | 134 | See | | | |
23,303 |
A*33:03 | | Australia Yuendumu Aborigine | | 0 | | 191 | See | | | |
23,304 |
A*33:03 | | Austria | 1.0 | 0.0050 | | 200 | See | | | |
23,305 |
A*33:03 | | Azores Central Islands | | 0.0090 | | 59 | See | | | |
23,306 |
A*33:03 | | Azores Oriental Islands | | 0 | | 43 | See | | | |
23,307 |
A*33:03 | | Belgium | 2.1 | 0.0100 | | 99 | See | | | |
23,308 |
A*33:03 | | Brazil Belo Horizonte Caucasian | 3.2 | 0.0160 | | 95 | See | | | |
23,309 |
A*33:03 | | Brazil Mixed | | 0.0300 | | 108 | See | | | |
23,310 |
A*33:03 | | Brazil Vale do Ribeira Quilombos | 0.0170 | 0 | | 144 | See | | | |
23,311 |
A*33:03 | | Bulgaria | | 0 | | 55 | See | | | |
23,312 |
A*33:03 | | Cameroon Baka Pygmy | | 0.2500 | | 10 | See | | | |
23,313 |
A*33:03 | | Cameroon Bamileke | | 0.0450 | | 77 | See | | | |
23,314 |
A*33:03 | | Cameroon Beti | | 0.0230 | | 174 | See | | | |
23,315 |
A*33:03 | | Cameroon Sawa | | 0.2310 | | 13 | See | | | |
23,316 |
A*33:03 | | Cameroon Yaounde | | 0.0280 | | 92 | See | | | |
23,317 |
A*33:03 | | Cape Verde Northwestern Islands | | 0.0240 | | 62 | See | | | |
23,318 |
A*33:03 | | Cape Verde Southeastern Islands | | 0.0400 | | 62 | See | | | |
23,319 |
A*33:03 | | China Beijing | | 0.0300 | | 67 | See | | | |
23,320 |
A*33:03 | | China Beijing Shijiazhuang Tianjian Han | | 0.0620 | | 618 | See | | | |
23,321 |
A*33:03 | | China Guangdong Province Meizhou Han | | 0.0400 | | 100 | See | | | |
23,322 |
A*33:03 | | China Guangxi Region Maonan | | 0.0420 | | 108 | See | | | |
23,323 |
A*33:03 | | China Guangzhou | | 0.0540 | | 102 | See | | | |
23,324 |
A*33:03 | | China Han HIV negative | | 0.0940 | | 72 | See | | | |
23,325 |
A*33:03 | | China Henan HIV negative | | 0.0940 | | 16 | See | | | |
23,326 |
A*33:03 | | China Hubei Han | 14.8 | 0.0742 | | 3,732 | See | | |
|
23,327 |
A*33:03 | | China Jiangsu Han | | 0.1118 | | 3,238 | See | | | |
23,328 |
A*33:03 | | China Jiangsu Province Han | | 0.1045 | | 334 | See | | | |
23,329 |
A*33:03 | | China North Han | | 0 | | 105 | See | | | |
23,330 |
A*33:03 | | China Shanxi HIV negative | | 0.0450 | | 22 | See | | | |
23,331 |
A*33:03 | | China Sichuan HIV negative | | 0.0590 | | 34 | See | | | |
23,332 |
A*33:03 | | China South Han | | 0.1150 | | 284 | See | | | |
23,333 |
A*33:03 | | China Southwest Dai | | 0.1010 | | 124 | See | | | |
23,334 |
A*33:03 | | China Uyghur HIV negative | | 0.0260 | | 19 | See | | | |
23,335 |
A*33:03 | | China Yunnan Bulang | | 0.0090 | | 116 | See | | | |
23,336 |
A*33:03 | | China Yunnan Hani | | 0.0330 | | 150 | See | | | |
23,337 |
A*33:03 | | China Yunnan Province Han | | 0.0840 | | 101 | See | | | |
23,338 |
A*33:03 | | Colombia Bogotá Cord Blood | 2.3 | 0.0113 | | 1,463 | See | | | |
23,339 |
A*33:03 | | Colombia North Wiwa El Encanto | | 0.0096 | | 52 | See | | |
|
23,340 |
A*33:03 | | Croatia | | 0.0130 | | 150 | See | | | |
23,341 |
A*33:03 | | Cuba Caucasian | 0.0 | 0 | | 70 | See | | | |
23,342 |
A*33:03 | | Cuba Mixed Race | 11.9 | 0.0600 | | 42 | See | | | |
23,343 |
A*33:03 | | Czech Republic | | 0 | | 106 | See | | | |
23,344 |
A*33:03 | | Czech Republic NMDR | | 0.0044 | | 5,099 | See | | | |
23,345 |
A*33:03 | | Ecuador Amerindians | | 0.0079 | | 63 | See | | |
|
23,346 |
A*33:03 | | England North West | 0.7 | 0.0030 | | 298 | See | | | |
23,347 |
A*33:03 | | France French Bone Marrow Donor Registry | | 0.0026 | | 42,623 | See | | | |
23,348 |
A*33:03 | | Gaza | 4.8 | 0.0238 | | 42 | See | | |
|
23,349 |
A*33:03 | | Georgia Tibilisi | | 0.0100 | | 109 | See | | | |
23,350 |
A*33:03 | | Germany DKMS - Austria minority | | 0.0044 | | 1,698 | See | | | |
23,351 |
A*33:03 | | Germany DKMS - Bosnia and Herzegovina minority | | 0.0044 | | 1,028 | See | | | |
23,352 |
A*33:03 | | Germany DKMS - China minority | | 0.0764 | | 1,282 | See | | | |
23,353 |
A*33:03 | | Germany DKMS - Croatia minority | | 0.0063 | | 2,057 | See | | | |
23,354 |
A*33:03 | | Germany DKMS - France minority | | 0.0061 | | 1,406 | See | | | |
23,355 |
A*33:03 | | Germany DKMS - German donors | | 0.0037 | | 3,456,066 | See | | |
|
23,356 |
A*33:03 | | Germany DKMS - Greece minority | | 0.0077 | | 1,894 | See | | | |
23,357 |
A*33:03 | | Germany DKMS - Italy minority | | 0.0069 | | 1,159 | See | | | |
23,358 |
A*33:03 | | Germany DKMS - Netherlands minority | | 0.0038 | | 1,374 | See | | | |
23,359 |
A*33:03 | | Germany DKMS - Portugal minority | | 0.0068 | | 1,176 | See | | | |
23,360 |
A*33:03 | | Germany DKMS - Romania minority | | 0.0069 | | 1,234 | See | | | |
23,361 |
A*33:03 | | Germany DKMS - Spain minority | | 0.0020 | | 1,107 | See | | | |
23,362 |
A*33:03 | | Germany DKMS - Turkey minority | | 0.0142 | | 4,856 | See | | | |
23,363 |
A*33:03 | | Germany DKMS - United Kingdom minority | | 0.0038 | | 1,043 | See | | | |
23,364 |
A*33:03 | | Germany pop 6 | | 0.0044 | | 8,862 | See | | | |
23,365 |
A*33:03 | | Germany pop 8 | | 0.0053 | | 39,689 | See | | | |
23,366 |
A*33:03 | | Greece pop 6 | | 0.0124 | | 242 | See | | | |
23,367 |
A*33:03 | | Greece pop 8 | 2.4 | 0.0121 | | 83 | See | | | |
23,368 |
A*33:03 | | Guinea Bissau | | 0.0850 | | 65 | See | | | |
23,369 |
A*33:03 | | Guinea Bissau Balanta | | 0.0830 | | 48 | See | | | |
23,370 |
A*33:03 | | Guinea Bissau Bijago | | 0.0650 | | 23 | See | | | |
23,371 |
A*33:03 | | Guinea Bissau Fula | | 0.0480 | | 31 | See | | | |
23,372 |
A*33:03 | | Guinea Bissau Papel | | 0.1600 | | 25 | See | | | |
23,373 |
A*33:03 | | Hong Kong Chinese | 18.9 | 0.1000 | | 569 | See | | | |
23,374 |
A*33:03 | | Hong Kong Chinese BMDR | | 0.1047 | | 7,595 | See | | |
|
23,375 |
A*33:03 | | Hong Kong Chinese cord blood registry | | 0.1010 | | 3,892 | See | | |
|
23,376 |
A*33:03 | | India Andhra Pradesh Golla | | 0.0630 | | 111 | See | | | |
23,377 |
A*33:03 | | India Central UCBB | 18.3 | 0.0915 | | 4,204 | See | | |
|
23,378 |
A*33:03 | | India East UCBB | 25.7 | 0.1400 | | 2,403 | See | | |
|
23,379 |
A*33:03 | | India Khandesh Region Pawra | | 0.0300 | | 50 | See | | | |
23,380 |
A*33:03 | | India Mumbai Maratha | | 0.1300 | | 91 | See | | | |
23,381 |
A*33:03 | | India New Delhi | | 0.0610 | | 71 | See | | | |
23,382 |
A*33:03 | | India North pop 2 | | 0.0870 | | 72 | See | | | |
23,383 |
A*33:03 | | India North UCBB | 16.6 | 0.0832 | | 5,849 | See | | |
|
23,384 |
A*33:03 | | India Northeast UCBB | 24.7 | 0.1318 | | 296 | See | | |
|
23,385 |
A*33:03 | | India South UCBB | 16.9 | 0.0847 | | 11,446 | See | | |
|
23,386 |
A*33:03 | | India Tamil Nadu | | 0.0867 | | 2,492 | See | | |
|
23,387 |
A*33:03 | | India Tamil Nadu Nadar | | 0.0660 | | 61 | See | | | |
23,388 |
A*33:03 | | India West Bhil | | 0.1800 | | 50 | See | | | |
23,389 |
A*33:03 | | India West Coast Parsi | | 0.1400 | | 50 | See | | | |
23,390 |
A*33:03 | | India West UCBB | 20.2 | 0.1011 | | 5,829 | See | | |
|
23,391 |
A*33:03 | | Indonesia Java Western | 29.7 | 0.1620 | | 236 | See | | | |
23,392 |
A*33:03 | | Iran Baloch | | 0.0560 | | 100 | See | | | |
23,393 |
A*33:03 | | Ireland Northern | 0.5 | 0.0030 | | 1,000 | See | | | |
23,394 |
A*33:03 | | Ireland South | 1.2 | 0.0060 | | 250 | See | | | |
23,395 |
A*33:03 | | Israel Arab Druze | | 0.0100 | | 101 | See | | | |
23,396 |
A*33:03 | | Israel Arab pop 2 | | 0.0000810 | | 12,301 | See | | |
|
23,397 |
A*33:03 | | Israel Argentina Jews | | 0.0001 | | 4,307 | See | | |
|
23,398 |
A*33:03 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0640 | | 146 | See | | | |
23,399 |
A*33:03 | | Israel Ashkenazi Jews pop 3 | | 0.0003 | | 4,625 | See | | |
|
23,400 |
A*33:03 | | Israel Bukhara Jews | | 0.0004 | | 2,317 | 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.