Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
1,501 |
A*01:106 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,502 |
A*01:106 |  | Saudi Arabia pop 6 (G) | | 0.0000170 (*) |  | 28,927 | See |  |  | |
1,503 |
A*01:109 |  | India Central UCBB | 0.0200 | 0.0001 |  | 4,204 | See |  |  |
|
1,504 |
A*01:109 |  | India South UCBB | 0.0100 | 0.0000400 |  | 11,446 | See |  |  |
|
1,505 |
A*01:109 |  | India West UCBB | 0.0200 | 0.0000900 |  | 5,829 | See |  |  |
|
1,506 |
A*01:109 |  | Poland BMR | 0.0042 | 0.0000210 |  | 23,595 | See |  |  |
|
1,507 |
A*01:113 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,508 |
A*01:115 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,509 |
A*01:117 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,510 |
A*01:118 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,511 |
A*01:123N |  | Germany DKMS - German donors | | 0.0000010 |  | 3,456,066 | See |  |  |
|
1,512 |
A*01:124 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,513 |
A*01:126 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,514 |
A*01:128 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,515 |
A*01:134 |  | Russian Federation Vologda Region | 0.8 | 0.0042 |  | 119 | See |  |  |
|
1,516 |
A*01:136 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,517 |
A*01:136 |  | India Tamil Nadu | | 0.0005 |  | 2,492 | See |  |  |
|
1,518 |
A*01:144 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,519 |
A*01:157 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,520 |
A*01:166 |  | Latvia | | 0.0019 |  | 266 | See |  |  |
|
1,521 |
A*01:167 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,522 |
A*01:170 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,523 |
A*01:173 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,524 |
A*01:184 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,525 |
A*01:190 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,526 |
A*01:191 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,527 |
A*01:196 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,528 |
A*01:198 |  | Germany DKMS - German donors | | 0.0000010 |  | 3,456,066 | See |  |  |
|
1,529 |
A*01:202 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,530 |
A*01:208Q |  | Germany DKMS - German donors | | 0.0000010 |  | 3,456,066 | See |  |  |
|
1,531 |
A*01:209 |  | Pakistan Mixed Punjabi | 0.2 | 0.0013 |  | 389 | See |  |  |
|
1,532 |
A*01:211 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,533 |
A*01:218 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,534 |
A*01:219 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,535 |
A*01:220 |  | Germany DKMS - German donors | | 0.0000010 |  | 3,456,066 | See |  |  |
|
1,536 |
A*01:223 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,537 |
A*01:225 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,538 |
A*01:227 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,539 |
A*01:228Q |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,540 |
A*01:229 |  | Germany DKMS - German donors | | 0.0000010 |  | 3,456,066 | See |  |  |
|
1,541 |
A*01:229 |  | Poland BMR | 0.0042 | 0.0000210 |  | 23,595 | See |  |  |
|
1,542 |
A*01:231 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,543 |
A*01:232 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,544 |
A*01:247N |  | Germany DKMS - German donors | | 0.0000020 |  | 3,456,066 | See |  |  |
|
1,545 |
A*01:257 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,546 |
A*01:258N |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,547 |
A*01:259 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,548 |
A*01:260 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,549 |
A*01:284 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
1,550 |
A*02 |  | Albania | | 0.3060 |  | 160 | See |  |  | |
1,551 |
A*02 |  | Albania pop 2 | 56.3 | 0.3275 |  | 432 | See |  |  | |
1,552 |
A*02 |  | Albanian Kosovo | | 0.3250 |  | 120 | See |  |  | |
1,553 |
A*02 |  | Algeria pop 2 | 43.0 | 0.2450 |  | 106 | See |  |  | |
1,554 |
A*02 |  | Argentina Buenos Aires | 45.1 | 0.2600 |  | 466 | See |  |  | |
1,555 |
A*02 |  | Argentina Buenos Aires pop 2 | 47.2 | 0.2580 |  | 1,216 | See |  |  | |
1,556 |
A*02 |  | Argentina Chiriguano | 45.3 | 0.2640 |  | 54 | See |  |  | |
1,557 |
A*02 |  | Argentina Corrientes | 44.5 | 0.2640 |  | 155 | See |  |  | |
1,558 |
A*02 |  | Argentina Cuyo Region | 43.2 | 0.2470 |  | 420 | See |  |  | |
1,559 |
A*02 |  | Argentina La Plata | 47.0 | 0.2700 |  | 100 | See |  |  | |
1,560 |
A*02 |  | Argentina Rosario Toba | 45.3 | 0.2850 |  | 86 | See |  |  | |
1,561 |
A*02 |  | Argentina Salta Wichi pop 2 | 47.4 | 0.2890 |  | 19 | See |  |  | |
1,562 |
A*02 |  | Armenia Ghegharkunik | | 0.1880 |  | 242 | See |  |  | |
1,563 |
A*02 |  | Armenia living in Iran | | 0.1880 |  | 85 | See |  |  | |
1,564 |
A*02 |  | Armenia living in Karabakh | | 0.1930 |  | 445 | See |  |  | |
1,565 |
A*02 |  | Armenia living in Lebanon | | 0.1850 |  | 368 | See |  |  | |
1,566 |
A*02 |  | Armenia living in USA | | 0.2000 |  | 233 | See |  |  | |
1,567 |
A*02 |  | Armenia Lori | | 0.1670 |  | 102 | See |  |  | |
1,568 |
A*02 |  | Armenia Shirak | | 0.2500 |  | 76 | See |  |  | |
1,569 |
A*02 |  | Armenia Syunik | | 0.1880 |  | 117 | See |  |  | |
1,570 |
A*02 |  | Armenia Yerevan | | 0.1800 |  | 445 | See |  |  | |
1,571 |
A*02 |  | Australia West Caucasian | 46.5 | 0.2680 |  | 891 | See |  |  | |
1,572 |
A*02 |  | Austria | 49.5 | 0.3120 |  | 200 | See |  |  | |
1,573 |
A*02 |  | Azores | | 0.2720 |  | 1,050 | See |  |  | |
1,574 |
A*02 |  | Azores Terceira Island | | 0.3030 |  | 130 | See |  |  | |
1,575 |
A*02 |  | Bangladesh Dhaka Bangalee | | 0.1450 |  | 141 | See |  |  | |
1,576 |
A*02 |  | Bolivia La Paz Aymaras | | 0.6030 |  | 87 | See |  |  |
|
1,577 |
A*02 |  | Bolivia Quechua | | 0.5072 |  | 69 | See |  |  |
|
1,578 |
A*02 |  | Bosnia and Herzegovina | | 0.3470 |  | 134 | See |  |  | |
1,579 |
A*02 |  | Bosnia and Herzegovina pop 2 | 61.7 | 0.3750 |  | 120 | See |  |  | |
1,580 |
A*02 |  | Brazil Paraná Caucasian | 47.7 | 0.2785 |  | 641 | See |  |  |
|
1,581 |
A*02 |  | Brazil Curitiba-Parana Mixed | | 0.2418 |  | 264 | See |  |  | |
1,582 |
A*02 |  | Brazil Minas Gerais State Mixed | 41.6 | 0.2360 |  | 1,000 | See |  |  | |
1,583 |
A*02 |  | Brazil Para State | 42.8 | 0.2380 |  | 5,000 | See |  |  |
|
1,584 |
A*02 |  | Brazil Parana Afro Brazilian | 32.5 | 0.1620 |  | 77 | See |  |  | |
1,585 |
A*02 |  | Brazil Parana Cafuzo | 40.4 | 0.2020 |  | 319 | See |  |  | |
1,586 |
A*02 |  | Brazil Parana Caucasian | 46.5 | 0.2320 |  | 2,775 | See |  |  | |
1,587 |
A*02 |  | Brazil Parana Japanese | 47.0 | 0.2708 |  | 192 | See |  |  |
|
1,588 |
A*02 |  | Brazil Parana Mixed race | 45.7 | 0.2280 |  | 186 | See |  |  | |
1,589 |
A*02 |  | Brazil Parana Oriental | 36.4 | 0.1820 |  | 33 | See |  |  | |
1,590 |
A*02 |  | Brazil Pernambuco Mixed | | 0.2870 |  | 101 | See |  |  | |
1,591 |
A*02 |  | Brazil Piaui Mixed | | 0.2550 |  | 21,943 | See |  |  | |
1,592 |
A*02 |  | Brazil REDOME Acre | | 0.2340 |  | 859 | See |  |  | |
1,593 |
A*02 |  | Brazil REDOME Alagoas | | 0.2505 |  | 25,349 | See |  |  | |
1,594 |
A*02 |  | Brazil REDOME Amapa | | 0.2550 |  | 17,864 | See |  |  | |
1,595 |
A*02 |  | Brazil REDOME Amazonas | | 0.2700 |  | 24,129 | See |  |  | |
1,596 |
A*02 |  | Brazil REDOME Bahia | | 0.2367 |  | 47,399 | See |  |  | |
1,597 |
A*02 |  | Brazil REDOME Ceara | | 0.2595 |  | 101,217 | See |  |  | |
1,598 |
A*02 |  | Brazil REDOME Espirito Santo | | 0.2535 |  | 88,485 | See |  |  | |
1,599 |
A*02 |  | Brazil REDOME Federal District | | 0.2604 |  | 29,549 | See |  |  | |
1,600 |
A*02 |  | Brazil REDOME Goias | | 0.2616 |  | 88,574 | 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.