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.