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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 |
401 |
A*24:02:01:01 |  | Saudi Arabia pop 5 | 15.8 | 0.0854 |  | 158 | See |  |  | |
402 |
A*24:02:01:01 |  | Singapore Chinese | 28.2 | 0.1540 |  | 149 | See |  |  | |
403 |
A*24:02:01:01 |  | Singapore Chinese Han | | 0.2150 |  | 94 | See |  |  | |
404 |
A*24:02:01:01 |  | Singapore Javaneses | | 0.1600 |  | 51 | See |  |  | |
405 |
A*24:02:01:01 |  | Singapore Riau Malay | | 0.1650 |  | 132 | See |  |  | |
406 |
A*24:02:01:01 |  | Singapore Thai | | 0.0820 |  | 100 | See |  |  | |
407 |
A*24:02:01:01 |  | South Africa Natal Tamil | | 0.1600 |  | 51 | See |  |  | |
408 |
A*24:02:01:01 |  | South Africa Natal Zulu | 2.0 | 0.0100 |  | 100 | See |  |  | |
409 |
A*24:02:01:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
410 |
A*24:02:01:01 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
411 |
A*24:02:01:01 |  | USA Arizona Pima | | 0.3600 |  | 100 | See |  |  | |
412 |
A*24:02:01:01 |  | USA Eastern European | | 0.1020 |  | 558 | See |  |  | |
413 |
A*24:02:01:01 |  | USA Italy Ancestry | | 0.0840 |  | 273 | See |  |  | |
414 |
A*24:02:01:01 |  | USA New Mexico Canoncito Navajo | | 0.3050 |  | 42 | See |  |  | |
415 |
A*24:02:01:01 |  | USA San Francisco Caucasian | | 0.0750 |  | 220 | See |  |  | |
416 |
A*24:02:01:01 |  | USA Spain Ancestry | | 0.0020 |  | 279 | See |  |  | |
417 |
A*24:02:01:01 |  | Venezuela Perja Mountain Bari | | 0.6020 |  | 55 | See |  |  | |
418 |
A*24:02:01:02L |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
419 |
A*24:02:01:02L |  | Bulgaria | | 0 |  | 55 | See |  |  | |
420 |
A*24:02:01:02L |  | China North Han | | 0 |  | 105 | See |  |  | |
421 |
A*24:02:01:02L |  | Cuba Caucasian | 0.0 | 0 |  | 70 | See |  |  | |
422 |
A*24:02:01:02L |  | Cuba Mixed Race | 0.0 | 0 |  | 42 | See |  |  | |
423 |
A*24:02:01:02L |  | Czech Republic | | 0 |  | 106 | See |  |  | |
424 |
A*24:02:01:02L |  | France French Bone Marrow Donor Registry | | 0.0025 |  | 42,623 | See |  |  | |
425 |
A*24:02:01:02L |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0 | 0.0000900 |  | 5,266 | See |  |  |
|
426 |
A*24:02:01:02L |  | India North pop 2 | | 0.0100 |  | 72 | See |  |  | |
427 |
A*24:02:01:02L |  | Ireland Northern | 0.0 | 0 |  | 1,000 | See |  |  | |
428 |
A*24:02:01:02L |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
429 |
A*24:02:01:02L |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
430 |
A*24:02:01:02L |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
431 |
A*24:02:01:02L |  | Oman | 0.9 | 0.0040 |  | 118 | See |  |  | |
432 |
A*24:02:01:02L |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
433 |
A*24:02:01:02L |  | Pakistan Brahui | | 0.0060 |  | 104 | See |  |  | |
434 |
A*24:02:01:02L |  | Pakistan Burusho | | 0 |  | 92 | See |  |  | |
435 |
A*24:02:01:02L |  | Pakistan Kalash | | 0.0170 |  | 69 | See |  |  | |
436 |
A*24:02:01:02L |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
437 |
A*24:02:01:02L |  | Pakistan Mixed Pathan | | 0.0050 |  | 100 | See |  |  | |
438 |
A*24:02:01:02L |  | Pakistan Mixed Sindhi | | 0.0060 |  | 101 | See |  |  | |
439 |
A*24:02:01:02L |  | Singapore Chinese | 0.0 | 0 |  | 149 | See |  |  | |
440 |
A*24:02:01:02L |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
441 |
A*24:02:01:02L |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
442 |
A*24:02:01:02L |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
443 |
A*24:02:02 |  | Brazil Rio de Janeiro Caucasian | | 0.0010 |  | 521 | See |  |  |
|
444 |
A*24:02:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
445 |
A*24:02:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
446 |
A*24:02:02 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
447 |
A*24:02:02 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
448 |
A*24:02:02 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
449 |
A*24:02:02 |  | Saudi Arabia pop 5 | 1.3 | 0.0063 |  | 158 | See |  |  | |
450 |
A*24:02:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
451 |
A*24:02:02 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
452 |
A*24:02:03Q |  | Bulgaria | | 0 |  | 55 | See |  |  |
|
453 |
A*24:02:03Q |  | China North Han | | 0 |  | 105 | See |  |  |
|
454 |
A*24:02:03Q |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  |
|
455 |
A*24:02:03Q |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  |
|
456 |
A*24:02:04 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
457 |
A*24:02:04 |  | China North Han | | 0 |  | 105 | See |  |  | |
458 |
A*24:02:04 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
459 |
A*24:02:04 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
460 |
A*24:02:04 |  | Pakistan Mixed Punjabi | 1.8 | 0.0090 |  | 389 | See |  |  |
|
461 |
A*24:02:04 |  | Saudi Arabia pop 6 (G) | | 0.0002 (*) |  | 28,927 | See |  |  | |
462 |
A*24:02:05 |  | China North Han | | 0 |  | 105 | See |  |  | |
463 |
A*24:02:05 |  | India Karnataka Kannada Speaking | 0.6 | 0.0030 |  | 174 | See |  |  |
|
464 |
A*24:02:05 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
465 |
A*24:02:05 |  | Pakistan Mixed Punjabi | 5.3 | 0.0270 |  | 389 | See |  |  |
|
466 |
A*24:02:05 |  | Saudi Arabia pop 6 (G) | | 0.0008 (*) |  | 28,927 | See |  |  | |
467 |
A*24:02:06 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
468 |
A*24:02:07 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
469 |
A*24:02:08 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
470 |
A*24:02:08 |  | Pakistan Mixed Punjabi | 1.2 | 0.0064 |  | 389 | See |  |  |
|
471 |
A*24:02:09 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
472 |
A*24:02:10 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
473 |
A*24:02:10 |  | Poland BMR | 0.0042 | 0.0000210 |  | 23,595 | See |  |  |
|
474 |
A*24:02:11 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
475 |
A*24:02:11 |  | Pakistan Mixed Punjabi | 0.2 | 0.0013 |  | 389 | See |  |  |
|
476 |
A*24:02:12 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
477 |
A*24:02:13 |  | India Andhra Pradesh Telugu Speaking | 2.7 | 0.0134 |  | 186 | See |  |  |
|
478 |
A*24:02:13 |  | India Kerala Malayalam speaking | 0.3 | 0.0010 |  | 356 | See |  |  |
|
479 |
A*24:02:13 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
480 |
A*24:02:13 |  | Poland BMR | 0.0127 | 0.0000640 |  | 23,595 | See |  |  |
|
481 |
A*24:02:13 |  | Russia Bashkortostan, Bashkirs | 0.8 | 0.0042 |  | 120 | See |  |  |
|
482 |
A*24:02:13 |  | Russia Nizhny Novgorod, Russians | 0.1 | 0.0007 |  | 1,510 | See |  |  |
|
483 |
A*24:02:13 |  | Vietnam Kinh | 1.0 | 0.0050 |  | 101 | See |  |  |
|
484 |
A*24:02:14 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
485 |
A*24:02:15 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
486 |
A*24:02:16 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
487 |
A*24:02:17 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
488 |
A*24:02:18 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
489 |
A*24:02:19 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
490 |
A*24:02:19 |  | Poland BMR | 0.0042 | 0.0000210 |  | 23,595 | See |  |  |
|
491 |
A*24:02:19 |  | Saudi Arabia pop 6 (G) | | 0.0000170 (*) |  | 28,927 | See |  |  | |
492 |
A*24:02:20 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
493 |
A*24:02:21 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
494 |
A*24:02:22 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
495 |
A*24:02:23 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
496 |
A*24:02:23 |  | Pakistan Mixed Punjabi | 0.2 | 0.0013 |  | 389 | See |  |  |
|
497 |
A*24:02:24 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
498 |
A*24:02:25 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
499 |
A*24:02:26 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
500 |
A*24:02:27 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | 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 401 to 500
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