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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 |
B*52 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
402 |
B*52 | | Taiwan Aborigine | | 0 | | 111 | See | | | |
403 |
B*52 | | Tanzania Dodoma Kongwa | | 0 | | 212 | See | | | |
404 |
B*52 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
405 |
B*52:01 | | China Yunnan Hani | | 0.1800 | | 150 | See | | | |
406 |
B*52:01 | | China Han HIV negative | | 0.1560 | | 72 | See | | | |
407 |
B*52:01 | | China Henan HIV negative | | 0.1560 | | 16 | See | | | |
408 |
B*52:01 | | Ghana Ga-Adangbe | 22.9 | 0.1221 | | 131 | See | | | |
409 |
B*52:01 | | Argentina Gran Chaco Eastern Toba | 21.6 | 0.1160 | | 135 | See | | | |
410 |
B*52:01 | | Japan pop 16 | | 0.1109 | | 18,604 | See | | | |
411 |
B*52:01 | | Japan pop 3 | | 0.1090 | | 1,018 | See | | | |
412 |
B*52:01 | | Argentina Gran Chaco Western Toba Pilaga | 21.4 | 0.1070 | | 19 | See | | | |
413 |
B*52:01 | | Japan Central | | 0.1070 | | 371 | See | | | |
414 |
B*52:01 | | Japan pop 5 | | 0.1040 | | 117 | See | | | |
415 |
B*52:01 | | Spain Andalusia Romani | | 0.1010 | | 99 | See | | | |
416 |
B*52:01 | | USA NMDP Japanese | | 0.0990 | | 24,582 | See | | | |
417 |
B*52:01 | | India Northeast UCBB | 16.9 | 0.0963 | | 296 | See | | |
|
418 |
B*52:01 | | India East UCBB | 18.6 | 0.0928 | | 2,403 | See | | |
|
419 |
B*52:01 | | India South UCBB | 18.5 | 0.0925 | | 11,446 | See | | |
|
420 |
B*52:01 | | India Central UCBB | 17.8 | 0.0888 | | 4,204 | See | | |
|
421 |
B*52:01 | | Israel Iran Jews | | 0.0831 | | 8,153 | See | | |
|
422 |
B*52:01 | | Mali Bandiagara | | 0.0830 | | 138 | See | | | |
423 |
B*52:01 | | Iran Tabriz Azeris | | 0.0825 | | 97 | See | | |
|
424 |
B*52:01 | | India North UCBB | 16.5 | 0.0822 | | 5,849 | See | | |
|
425 |
B*52:01 | | India West UCBB | 16.2 | 0.0809 | | 5,829 | See | | |
|
426 |
B*52:01 | | Malaysia Patani | 16.0 | 0.0800 | | 25 | See | | |
|
427 |
B*52:01 | | Singapore SGVP. Indian INS | | 0.0750 | | 86 | See | | |
|
428 |
B*52:01 | | USA NMDP South Asian Indian | | 0.0745 | | 185,391 | See | | | |
429 |
B*52:01 | | India Tamil Nadu | | 0.0713 | | 2,492 | See | | |
|
430 |
B*52:01 | | Israel Druze | | 0.0691 | | 5,914 | See | | |
|
431 |
B*52:01 | | China Shanxi HIV negative | | 0.0680 | | 22 | See | | | |
432 |
B*52:01 | | Sri Lanka Colombo | 12.9 | 0.0670 | | 714 | See | | |
|
433 |
B*52:01 | | Israel Kavkazi Jews | | 0.0665 | | 2,840 | See | | |
|
434 |
B*52:01 | | Israel Morocco Jews | | 0.0654 | | 36,718 | See | | |
|
435 |
B*52:01 | | Malaysia Peninsular Indian | 11.8 | 0.0627 | | 271 | See | | |
|
436 |
B*52:01 | | Iran Yazd | | 0.0625 | | 56 | See | | |
|
437 |
B*52:01 | | China Beijing | | 0.0610 | | 67 | See | | | |
438 |
B*52:01 | | USA NMDP Southeast Asian | | 0.0592 | | 27,978 | See | | | |
439 |
B*52:01 | | China Sichuan HIV negative | | 0.0590 | | 34 | See | | | |
440 |
B*52:01 | | United Arab Emirates Abu Dhabi | | 0.0577 | | 52 | See | | |
|
441 |
B*52:01 | | China Yunnan Bulang | | 0.0560 | | 116 | See | | | |
442 |
B*52:01 | | Israel Iraq Jews | | 0.0552 | | 13,270 | See | | |
|
443 |
B*52:01 | | Israel Bukhara Jews | | 0.0544 | | 2,317 | See | | |
|
444 |
B*52:01 | | China Uyghur HIV negative | | 0.0530 | | 19 | See | | | |
445 |
B*52:01 | | Israel Arab pop 2 | | 0.0522 | | 12,301 | See | | |
|
446 |
B*52:01 | | Israel YemenJews | | 0.0514 | | 15,542 | See | | |
|
447 |
B*52:01 | | Israel Tunisia Jews | | 0.0511 | | 9,070 | See | | |
|
448 |
B*52:01 | | Israel Argentina Jews | | 0.0491 | | 4,307 | See | | |
|
449 |
B*52:01 | | Mexico Mestizo | 9.8 | 0.0490 | | 41 | See | | | |
450 |
B*52:01 | | India Delhi pop 2 | 8.8 | 0.0490 | | 90 | See | | | |
451 |
B*52:01 | | Israel Ashkenazi Jews pop 3 | | 0.0489 | | 4,625 | See | | |
|
452 |
B*52:01 | | Israel Poland Jews | | 0.0487 | | 13,871 | See | | |
|
453 |
B*52:01 | | Argentina Rosario Toba | 9.3 | 0.0470 | | 86 | See | | | |
454 |
B*52:01 | | USA South Texas Hispanic | | 0.0470 | | 194 | See | | | |
455 |
B*52:01 | | Mexico Oaxaca Zapotec | | 0.0450 | | 90 | See | | | |
456 |
B*52:01 | | USA Hispanic | | 0.0450 | | 234 | See | | | |
457 |
B*52:01 | | Israel USSR Jews | | 0.0438 | | 45,681 | See | | |
|
458 |
B*52:01 | | Israel USA Jews | | 0.0425 | | 6,058 | See | | |
|
459 |
B*52:01 | | Greece pop 8 | 8.4 | 0.0422 | | 83 | See | | | |
460 |
B*52:01 | | Iran Kurd pop 2 | | 0.0420 | | 60 | See | | |
|
461 |
B*52:01 | | Malaysia Jelebu Temuan | | 0.0420 | | 25 | See | | | |
462 |
B*52:01 | | Singapore SGVP Malay MAS | | 0.0420 | | 89 | See | | |
|
463 |
B*52:01 | | China Jiangsu Province Han | | 0.0418 | | 334 | See | | | |
464 |
B*52:01 | | Iran Saqqez-Baneh Kurds | | 0.0417 | | 60 | See | | |
|
465 |
B*52:01 | | China Jiangsu Han | | 0.0400 | | 3,238 | See | | | |
466 |
B*52:01 | | Israel Libya Jews | | 0.0400 | | 3,739 | See | | |
|
467 |
B*52:01 | | Malaysia Peninsular Malay | 11.9 | 0.0394 | | 951 | See | | |
|
468 |
B*52:01 | | Russia Bering Island Aleuts | | 0.0385 | | 104 | See | | |
|
469 |
B*52:01 | | Israel Georgia Jews | | 0.0380 | | 4,471 | See | | |
|
470 |
B*52:01 | | Oman | 6.8 | 0.0380 | | 118 | See | | | |
471 |
B*52:01 | | Brazil Puyanawa | 7.3 | 0.0370 | | 150 | See | | |
|
472 |
B*52:01 | | Mexico Oaxaca Mixe | | 0.0370 | | 55 | See | | | |
473 |
B*52:01 | | USA Asian pop 2 | | 0.0368 | | 1,772 | See | | | |
474 |
B*52:01 | | Mexico Mixtec | | 0.0360 | | 97 | See | | | |
475 |
B*52:01 | | Mexico Oaxaca Jamiltepec Mixtec | | 0.0360 | | 96 | See | | |
|
476 |
B*52:01 | | Gaza | 7.1 | 0.0357 | | 42 | See | | |
|
477 |
B*52:01 | | Thailand | | 0.0350 | | 142 | See | | | |
478 |
B*52:01 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0331 | | 70,890 | See | | | |
479 |
B*52:01 | | Italy North pop 3 | 6.7 | 0.0330 | | 97 | See | | | |
480 |
B*52:01 | | Argentina Gran Chaco Mataco Wichi | 6.5 | 0.0330 | | 49 | See | | | |
481 |
B*52:01 | | Sudan Mixed | 6.5 | 0.0330 | | 200 | See | | | |
482 |
B*52:01 | | Romania | 6.3 | 0.0320 | | 348 | See | | | |
483 |
B*52:01 | | USA NMDP Caribean Indian | | 0.0320 | | 14,339 | See | | | |
484 |
B*52:01 | | Switzerland Graubunden | | 0.0303 | | 759 | See | | | |
485 |
B*52:01 | | Switzerland Aargau-Solothurn | | 0.0302 | | 1,838 | See | | | |
486 |
B*52:01 | | Armenia combined Regions | | 0.0300 | | 100 | See | | | |
487 |
B*52:01 | | South Korea pop 10 | | 0.0298 | | 4,128 | See | | | |
488 |
B*52:01 | | Switzerland St Gallen | | 0.0284 | | 2,113 | See | | | |
489 |
B*52:01 | | China Guangzhou Han | | 0.0280 | | 106 | See | | | |
490 |
B*52:01 | | China Southwest Dai | | 0.0280 | | 124 | See | | | |
491 |
B*52:01 | | Mexico Mexico City Mestizo population | | 0.0280 | | 143 | See | | |
|
492 |
B*52:01 | | South Korea pop 3 | | 0.0280 | | 485 | See | | | |
493 |
B*52:01 | | Switzerland Geneva pop 2 | | 0.0270 | | 1,267 | See | | | |
494 |
B*52:01 | | USA Hispanic pop 2 | | 0.0268 | | 1,999 | See | | | |
495 |
B*52:01 | | USA NMDP Mexican or Chicano | | 0.0260 | | 261,235 | See | | | |
496 |
B*52:01 | | Germany DKMS - Turkey minority | | 0.0256 | | 4,856 | See | | | |
497 |
B*52:01 | | Germany DKMS - Greece minority | | 0.0253 | | 1,894 | See | | | |
498 |
B*52:01 | | USA NMDP Korean | | 0.0252 | | 77,584 | See | | | |
499 |
B*52:01 | | Tunisia | 5.0 | 0.0250 | | 100 | See | | | |
500 |
B*52:01 | | Switzerland Lugano | | 0.0247 | | 1,169 | 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 995) records |
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