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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*01:07 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
402 |
A*01:07 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
403 |
A*01:07 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
404 |
A*01:07 | | South Korea pop 3 | | 0 | | 485 | See | | | |
405 |
A*01:08 | | Bulgaria | | 0 | | 55 | See | | | |
406 |
A*01:08 | | China North Han | | 0 | | 105 | See | | | |
407 |
A*01:08 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
408 |
A*01:08 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
409 |
A*01:08 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
410 |
A*01:08 | | South Korea pop 3 | | 0 | | 485 | See | | | |
411 |
A*01:09 | | Bulgaria | | 0 | | 55 | See | | | |
412 |
A*01:09 | | China North Han | | 0 | | 105 | See | | | |
413 |
A*01:09 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
414 |
A*01:09 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
415 |
A*01:09 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
416 |
A*01:09 | | Uganda Kampala pop 2 | | 0.0030 | | 175 | See | | | |
417 |
A*01:10 | | China North Han | | 0 | | 105 | See | | | |
418 |
A*01:10 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
419 |
A*01:10 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
420 |
A*01:11N | | China North Han | | 0 | | 105 | See | | | |
421 |
A*01:11N | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
422 |
A*01:11N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
423 |
A*01:11N | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
424 |
A*01:12 | | China North Han | | 0 | | 105 | See | | | |
425 |
A*01:12 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
426 |
A*01:12 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
427 |
A*01:13 | | China North Han | | 0 | | 105 | See | | | |
428 |
A*01:13 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
429 |
A*01:13 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
430 |
A*01:14 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
431 |
A*01:15N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
432 |
A*01:16N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
433 |
A*01:16N | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
434 |
A*01:16N | | USA African American pop 4 | | 0 | | 2,411 | See | | | |
435 |
A*01:16N | | USA Asian pop 2 | | 0 | | 1,772 | See | | | |
436 |
A*01:16N | | USA Hispanic pop 2 | | 0 | | 1,999 | See | | | |
437 |
A*01:17 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
438 |
A*01:18N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
439 |
A*01:18N | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
440 |
A*01:19 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
441 |
A*01:20 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
442 |
A*01:21 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
443 |
A*01:22N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
444 |
A*01:23 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
445 |
A*01:23 | | Uganda Kampala pop 2 | | 0.0030 | | 175 | See | | | |
446 |
A*01:24 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
447 |
A*01:25 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
448 |
A*01:25 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
449 |
A*01:26 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
450 |
A*01:27N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
451 |
A*01:28 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
452 |
A*01:29 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
453 |
A*01:30 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
454 |
A*01:31N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
455 |
A*01:32 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
456 |
A*01:33 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
457 |
A*01:35 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
458 |
A*01:36 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
459 |
A*01:37 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
460 |
A*01:38 | | Germany DKMS - Turkey minority | | 0.0001 | | 4,856 | See | | | |
461 |
A*01:38 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
462 |
A*01:39 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
463 |
A*01:40 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
464 |
A*01:41 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
465 |
A*01:42 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
466 |
A*01:43 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
467 |
A*01:44 | | Germany DKMS - Turkey minority | | 0.0001 | | 4,856 | See | | | |
468 |
A*01:44 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
469 |
A*01:45 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
470 |
A*01:46 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
471 |
A*01:47 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
472 |
A*01:48 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
473 |
A*01:49 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
474 |
A*01:50 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
475 |
A*01:51 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
476 |
A*02 | | Albania | | 0.3060 | | 160 | See | | | |
477 |
A*02 | | Albanian Kosovo | | 0.3250 | | 120 | See | | | |
478 |
A*02 | | Algeria pop 2 | 43.0 | 0.2450 | | 106 | See | | | |
479 |
A*02 | | Bangladesh Dhaka Bangalee | | 0.1450 | | 141 | See | | | |
480 |
A*02 | | Brazil Parana Afro Brazilian | 32.5 | 0.1620 | | 77 | See | | | |
481 |
A*02 | | Brazil Parana Cafuzo | 40.4 | 0.2020 | | 319 | See | | | |
482 |
A*02 | | Brazil Parana Caucasian | 46.5 | 0.2320 | | 2,775 | See | | | |
483 |
A*02 | | Brazil Parana Mixed race | 45.7 | 0.2280 | | 186 | See | | | |
484 |
A*02 | | Brazil Parana Oriental | 36.4 | 0.1820 | | 33 | See | | | |
485 |
A*02 | | Brazil Pernambuco Mixed | | 0.2870 | | 101 | See | | | |
486 |
A*02 | | Brazil South Ribeirao Preto | | 0.2170 | | 184 | See | | | |
487 |
A*02 | | Burkina Faso Mossi | | 0.2070 | | 53 | See | | | |
488 |
A*02 | | Cameroon Bakola Pygmy | 50.0 | 0.2928 | | 50 | See | | | |
489 |
A*02 | | Cameroon Bamileke 2 | | 0.0860 | | 35 | See | | | |
490 |
A*02 | | Cameroon Ewondo | | 0.1840 | | 38 | See | | | |
491 |
A*02 | | Cameroon Podokwo | | 0.2330 | | 43 | See | | | |
492 |
A*02 | | Cameroon Uldeme | | 0.3140 | | 35 | See | | | |
493 |
A*02 | | Central African Republic Mbenzele Pygmy | 37.0 | 0.2062 | | 36 | See | | | |
494 |
A*02 | | China Guangdong Province | 51.4 | 0.3028 | | 403 | See | | | |
495 |
A*02 | | China Jiangsu Province | | 0.2960 | | 20,248 | See | | | |
496 |
A*02 | | China North Han | | 0 | | 105 | See | | | |
497 |
A*02 | | China Shaanxi Province Han | | 0.2970 | | 10,000 | See | | | |
498 |
A*02 | | China Shandong Province Linqu County | 61.2 | 0.3771 | | 139 | See | | | |
499 |
A*02 | | China Wuhan | 52.9 | 0.3100 | | 121 | See | | | |
500 |
A*02 | | China Yunnan Province Han pop 2 | | 0.1930 | | 129 | 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
(from 60,683) records |
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