Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
401 |
A*01 |  | United Kingdom Orkney | | 0.1829 |  | 88 | See |  |  | |
402 |
A*01 |  | United Kingdom pop 2 | | 0.2050 |  | 101 | See |  |  | |
403 |
A*01 |  | United Kingdom South West | | 0.1687 |  | 163 | See |  |  | |
404 |
A*01 |  | USA OPTN African American | | 0.0550 |  | 1,510 | See |  |  | |
405 |
A*01 |  | USA OPTN Asian | | 0.0320 |  | 261 | See |  |  | |
406 |
A*01 |  | USA OPTN Caucasian | | 0.1570 |  | 8,525 | See |  |  | |
407 |
A*01 |  | USA OPTN Hispanic | | 0.0630 |  | 1,580 | See |  |  | |
408 |
A*01 |  | Venezuela Caracas Mestizo | | 0.0700 |  | 50 | See |  |  | |
409 |
A*01 |  | Venezuela Colonia Tovar | | 0.1221 |  | 86 | See |  |  | |
410 |
A*01 |  | Venezuela Valencia and Maracaibo Caracus Mixed | | 0.0420 |  | 96 | See |  |  | |
411 |
A*01 |  | Venezuela Zulia Maracaibo Mixed | | 0.0250 |  | 20 | See |  |  | |
412 |
A*01 |  | Venezuela Zulia San Jose de Heras Mixed | | 0.0250 |  | 20 | See |  |  | |
413 |
A*01 |  | Vietnam Hanoi | | 0.0300 |  | 50 | See |  |  | |
414 |
A*01 |  | Wales | 37.4 | 0.2110 |  | 1,798 | See |  |  | |
415 |
A*01 |  | Wales pop 2 | 35.5 | 0.1970 |  | 39,979 | See |  |  | |
416 |
A*01:01 |  | Argentina Rosario Toba | 15.1 | 0.0760 |  | 86 | See |  |  | |
417 |
A*01:01 |  | Armenia combined Regions | | 0.1250 |  | 100 | See |  |  | |
418 |
A*01:01 |  | Australia Cape York Peninsula Aborigine | | 0.0530 |  | 103 | See |  |  | |
419 |
A*01:01 |  | Australia Groote Eylandt Aborigine | | 0.0270 |  | 75 | See |  |  | |
420 |
A*01:01 |  | Australia New South Wales Caucasian | | 0.1870 |  | 134 | See |  |  | |
421 |
A*01:01 |  | Australia Yuendumu Aborigine | | 0.0080 |  | 191 | See |  |  | |
422 |
A*01:01 |  | Austria | 27.0 | 0.1460 |  | 200 | See |  |  | |
423 |
A*01:01 |  | Azores Central Islands | | 0.0800 |  | 59 | See |  |  | |
424 |
A*01:01 |  | Azores Oriental Islands | | 0.1150 |  | 43 | See |  |  | |
425 |
A*01:01 |  | Azores Terceira Island | | 0.1090 |  | 130 | See |  |  | |
426 |
A*01:01 |  | Belgium | 29.2 | 0.1550 |  | 99 | See |  |  | |
427 |
A*01:01 |  | Belgium | 26.8 | 0.1445 |  | 31,412 | See |  |  |
|
428 |
A*01:01 |  | Brazil Puyanawa | 8.7 | 0.0430 |  | 150 | See |  |  |
|
429 |
A*01:01 |  | Brazil Belo Horizonte Caucasian | 13.7 | 0.0790 |  | 95 | See |  |  | |
430 |
A*01:01 |  | Brazil Mixed | | 0.0910 |  | 108 | See |  |  | |
431 |
A*01:01 |  | Brazil Vale do Ribeira Quilombos | 0.0420 | 0 |  | 144 | See |  |  | |
432 |
A*01:01 |  | Bulgaria Romani | | 0.3330 |  | 13 | See |  |  | |
433 |
A*01:01 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
434 |
A*01:01 |  | Cameroon Bamileke | | 0.0260 |  | 77 | See |  |  | |
435 |
A*01:01 |  | Cameroon Beti | | 0.0110 |  | 174 | See |  |  | |
436 |
A*01:01 |  | Cameroon Sawa | | 0 |  | 13 | See |  |  | |
437 |
A*01:01 |  | Cameroon Yaounde | | 0.0110 |  | 92 | See |  |  | |
438 |
A*01:01 |  | Central African Republic Mbenzele Pygmy | 0.0 | 0 |  | 36 | See |  |  | |
439 |
A*01:01 |  | Chile Mapuche | | 0.0615 |  | 66 | See |  |  |
|
440 |
A*01:01 |  | Chile Santiago Mixed | 11.0 | 0.0566 |  | 70 | See |  |  | |
441 |
A*01:01 |  | China Beijing | | 0.0370 |  | 67 | See |  |  | |
442 |
A*01:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0340 |  | 618 | See |  |  | |
443 |
A*01:01 |  | China Canton Han | | 0.0060 |  | 264 | See |  |  | |
444 |
A*01:01 |  | China Guangzhou | | 0.0100 |  | 102 | See |  |  | |
445 |
A*01:01 |  | China Guizhou Province Bouyei | | 0.0050 |  | 109 | See |  |  | |
446 |
A*01:01 |  | China Guizhou Province Miao pop 2 | | 0 |  | 85 | See |  |  | |
447 |
A*01:01 |  | China Guizhou Province Shui | | 0 |  | 153 | See |  |  | |
448 |
A*01:01 |  | China Hubei Han | 4.6 | 0.0229 |  | 3,732 | See |  |  |
|
449 |
A*01:01 |  | China Inner Mongolia Region | | 0.0540 |  | 102 | See |  |  | |
450 |
A*01:01 |  | China Jiangsu Han | | 0.0370 |  | 3,238 | See |  |  | |
451 |
A*01:01 |  | China Jiangsu Province Han | | 0.0174 |  | 334 | See |  |  | |
452 |
A*01:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
453 |
A*01:01 |  | China Qinghai Province Hui | | 0.0550 |  | 110 | See |  |  | |
454 |
A*01:01 |  | China Shanxi HIV negative | | 0.0910 |  | 22 | See |  |  | |
455 |
A*01:01 |  | China Sichuan HIV negative | | 0.0590 |  | 34 | See |  |  | |
456 |
A*01:01 |  | China South Han | | 0.0050 |  | 284 | See |  |  | |
457 |
A*01:01 |  | China Uyghur HIV negative | | 0.0260 |  | 19 | See |  |  | |
458 |
A*01:01 |  | China Yunnan Province Han | | 0.0150 |  | 101 | See |  |  | |
459 |
A*01:01 |  | Colombia Bogotá Cord Blood | 12.0 | 0.0608 |  | 1,463 | See |  |  | |
460 |
A*01:01 |  | Colombia North Chimila Amerindians | | 0.0212 |  | 47 | See |  |  |
|
461 |
A*01:01 |  | Colombia North Wiwa El Encanto | | 0.0192 |  | 52 | See |  |  |
|
462 |
A*01:01 |  | Croatia | | 0.0970 |  | 150 | See |  |  | |
463 |
A*01:01 |  | Croatia pop 4 | | 0.1244 |  | 4,000 | See |  |  | |
464 |
A*01:01 |  | Cuba Caucasian | 15.7 | 0.0790 |  | 70 | See |  |  | |
465 |
A*01:01 |  | Cuba Mixed Race | 14.3 | 0.0710 |  | 42 | See |  |  | |
466 |
A*01:01 |  | Czech Republic | | 0.1270 |  | 106 | See |  |  | |
467 |
A*01:01 |  | Czech Republic NMDR | | 0.1607 |  | 5,099 | See |  |  | |
468 |
A*01:01 |  | Ecuador Amerindians | | 0.0476 |  | 63 | See |  |  |
|
469 |
A*01:01 |  | England North West | 38.6 | 0.2080 |  | 298 | See |  |  | |
470 |
A*01:01 |  | Finland | | 0.0890 |  | 91 | See |  |  | |
471 |
A*01:01 |  | France French Bone Marrow Donor Registry | | 0.1301 |  | 42,623 | See |  |  | |
472 |
A*01:01 |  | France Southeast | 27.7 | 0.1500 |  | 130 | See |  |  | |
473 |
A*01:01 |  | Gaza | 33.3 | 0.1786 |  | 42 | See |  |  |
|
474 |
A*01:01 |  | Georgia Svaneti Region Svan | | 0.0560 |  | 80 | See |  |  | |
475 |
A*01:01 |  | Georgia Tibilisi | | 0.0570 |  | 109 | See |  |  | |
476 |
A*01:01 |  | Georgia Tibilisi Kurd | | 0.0670 |  | 31 | See |  |  | |
477 |
A*01:01 |  | Germany DKMS - Austria minority | | 0.1561 |  | 1,698 | See |  |  | |
478 |
A*01:01 |  | Germany DKMS - Bosnia and Herzegovina minority | | 0.1513 |  | 1,028 | See |  |  | |
479 |
A*01:01 |  | Germany DKMS - China minority | | 0.0380 |  | 1,282 | See |  |  | |
480 |
A*01:01 |  | Germany DKMS - Croatia minority | | 0.1213 |  | 2,057 | See |  |  | |
481 |
A*01:01 |  | Germany DKMS - France minority | | 0.1376 |  | 1,406 | See |  |  | |
482 |
A*01:01 |  | Germany DKMS - German donors | | 0.1537 |  | 3,456,066 | See |  |  |
|
483 |
A*01:01 |  | Germany DKMS - Greece minority | | 0.1038 |  | 1,894 | See |  |  | |
484 |
A*01:01 |  | Germany DKMS - Italy minority | | 0.1330 |  | 1,159 | See |  |  | |
485 |
A*01:01 |  | Germany DKMS - Netherlands minority | | 0.1681 |  | 1,374 | See |  |  | |
486 |
A*01:01 |  | Germany DKMS - Portugal minority | | 0.1158 |  | 1,176 | See |  |  | |
487 |
A*01:01 |  | Germany DKMS - Romania minority | | 0.1457 |  | 1,234 | See |  |  | |
488 |
A*01:01 |  | Germany DKMS - Spain minority | | 0.1189 |  | 1,107 | See |  |  | |
489 |
A*01:01 |  | Germany DKMS - Turkey minority | | 0.1032 |  | 4,856 | See |  |  | |
490 |
A*01:01 |  | Germany DKMS - United Kingdom minority | | 0.1803 |  | 1,043 | See |  |  | |
491 |
A*01:01 |  | Germany pop 6 | | 0.1541 |  | 8,862 | See |  |  | |
492 |
A*01:01 |  | Germany pop 8 | | 0.1507 |  | 39,689 | See |  |  | |
493 |
A*01:01 |  | Ghana Ga-Adangbe | 4.6 | 0.0229 |  | 131 | See |  |  | |
494 |
A*01:01 |  | Greece pop 6 | | 0.1136 |  | 242 | See |  |  | |
495 |
A*01:01 |  | Greece pop 8 | 25.3 | 0.1446 |  | 83 | See |  |  | |
496 |
A*01:01 |  | Guinea Bissau Balanta | | 0.0210 |  | 48 | See |  |  | |
497 |
A*01:01 |  | Guinea Bissau Bijago | | 0.0220 |  | 23 | See |  |  | |
498 |
A*01:01 |  | Guinea Bissau Fula | | 0.0810 |  | 31 | See |  |  | |
499 |
A*01:01 |  | Guinea Bissau Papel | | 0.0800 |  | 25 | See |  |  | |
500 |
A*01:01 |  | Hong Kong Chinese | 2.1 | 0.0110 |  | 569 | See |  |  | |
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
: 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).
were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
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
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.