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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 |
501 |
A*01:01 |  | Hong Kong Chinese BMDR | | 0.0084 |  | 7,595 | See |  |  |
|
502 |
A*01:01 |  | Hong Kong Chinese cord blood registry | | 0.0090 |  | 3,892 | See |  |  |
|
503 |
A*01:01 |  | India Andhra Pradesh Golla | | 0.1250 |  | 111 | See |  |  | |
504 |
A*01:01 |  | India Central UCBB | 25.9 | 0.1294 |  | 4,204 | See |  |  |
|
505 |
A*01:01 |  | India Delhi pop 2 | 20.0 | 0.1050 |  | 90 | See |  |  | |
506 |
A*01:01 |  | India East UCBB | 23.1 | 0.1267 |  | 2,403 | See |  |  |
|
507 |
A*01:01 |  | India Khandesh Region Pawra | | 0.0500 |  | 50 | See |  |  | |
508 |
A*01:01 |  | India Mumbai Maratha | | 0.1230 |  | 91 | See |  |  | |
509 |
A*01:01 |  | India New Delhi | | 0.0380 |  | 71 | See |  |  | |
510 |
A*01:01 |  | India North pop 2 | | 0.1150 |  | 72 | See |  |  | |
511 |
A*01:01 |  | India North UCBB | 22.7 | 0.1234 |  | 5,849 | See |  |  |
|
512 |
A*01:01 |  | India Northeast UCBB | 11.1 | 0.0557 |  | 296 | See |  |  |
|
513 |
A*01:01 |  | India South UCBB | 29.7 | 0.1618 |  | 11,446 | See |  |  |
|
514 |
A*01:01 |  | India Tamil Nadu | | 0.1593 |  | 2,492 | See |  |  |
|
515 |
A*01:01 |  | India Tamil Nadu Nadar | | 0.0900 |  | 61 | See |  |  | |
516 |
A*01:01 |  | India West Bhil | | 0 |  | 50 | See |  |  | |
517 |
A*01:01 |  | India West Coast Parsi | | 0.0100 |  | 50 | See |  |  | |
518 |
A*01:01 |  | India West UCBB | 26.8 | 0.1466 |  | 5,829 | See |  |  |
|
519 |
A*01:01 |  | Indonesia Java Western | 5.1 | 0.0260 |  | 236 | See |  |  | |
520 |
A*01:01 |  | Iran Gorgan | | 0.0310 |  | 64 | See |  |  |
|
521 |
A*01:01 |  | Iran Kurd pop 2 | | 0.0830 |  | 60 | See |  |  |
|
522 |
A*01:01 |  | Iran Saqqez-Baneh Kurds | | 0.0833 |  | 60 | See |  |  |
|
523 |
A*01:01 |  | Iran Tabriz Azeris | | 0.1186 |  | 97 | See |  |  |
|
524 |
A*01:01 |  | Iran Yazd | | 0.0893 |  | 56 | See |  |  |
|
525 |
A*01:01 |  | Ireland Northern | 36.4 | 0.2020 |  | 1,000 | See |  |  | |
526 |
A*01:01 |  | Ireland South | 44.8 | 0.2500 |  | 250 | See |  |  | |
527 |
A*01:01 |  | Israel Arab Druze | | 0.0400 |  | 101 | See |  |  | |
528 |
A*01:01 |  | Israel Arab pop 2 | | 0.1642 |  | 12,301 | See |  |  |
|
529 |
A*01:01 |  | Israel Argentina Jews | | 0.1296 |  | 4,307 | See |  |  |
|
530 |
A*01:01 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.1710 |  | 146 | See |  |  | |
531 |
A*01:01 |  | Israel Ashkenazi Jews pop 3 | | 0.1078 |  | 4,625 | See |  |  |
|
532 |
A*01:01 |  | Israel Bukhara Jews | | 0.0689 |  | 2,317 | See |  |  |
|
533 |
A*01:01 |  | Israel Druze | | 0.0886 |  | 5,914 | See |  |  |
|
534 |
A*01:01 |  | Israel Ethiopia Jews | | 0.0391 |  | 5,928 | See |  |  |
|
535 |
A*01:01 |  | Israel Georgia Jews | | 0.0408 |  | 4,471 | See |  |  |
|
536 |
A*01:01 |  | Israel Iran Jews | | 0.2180 |  | 8,153 | See |  |  |
|
537 |
A*01:01 |  | Israel Iraq Jews | | 0.1829 |  | 13,270 | See |  |  |
|
538 |
A*01:01 |  | Israel Kavkazi Jews | | 0.0635 |  | 2,840 | See |  |  |
|
539 |
A*01:01 |  | Israel Libya Jews | | 0.1462 |  | 3,739 | See |  |  |
|
540 |
A*01:01 |  | Israel Morocco Jews | | 0.1971 |  | 36,718 | See |  |  |
|
541 |
A*01:01 |  | Israel Poland Jews | | 0.1294 |  | 13,871 | See |  |  |
|
542 |
A*01:01 |  | Israel Tunisia Jews | | 0.1712 |  | 9,070 | See |  |  |
|
543 |
A*01:01 |  | Israel USA Jews | | 0.1313 |  | 6,058 | See |  |  |
|
544 |
A*01:01 |  | Israel USSR Jews | | 0.1205 |  | 45,681 | See |  |  |
|
545 |
A*01:01 |  | Israel YemenJews | | 0.0199 |  | 15,542 | See |  |  |
|
546 |
A*01:01 |  | Italy North pop 3 | 26.9 | 0.1540 |  | 97 | See |  |  | |
547 |
A*01:01 |  | Italy pop 5 | | 0.1020 |  | 975 | See |  |  | |
548 |
A*01:01 |  | Japan Central | | 0.0090 |  | 371 | See |  |  | |
549 |
A*01:01 |  | Japan Hokkaido Ainu | | 0 |  | 50 | See |  |  | |
550 |
A*01:01 |  | Japan pop 16 | | 0.0040 |  | 18,604 | See |  |  | |
551 |
A*01:01 |  | Japan pop 3 | | 0.0020 |  | 1,018 | See |  |  | |
552 |
A*01:01 |  | Japan pop 5 | | 0.0180 |  | 117 | See |  |  | |
553 |
A*01:01 |  | Jordan Amman | | 0.0790 |  | 146 | See |  |  | |
554 |
A*01:01 |  | Kenya | | 0.0310 |  | 144 | See |  |  | |
555 |
A*01:01 |  | Kenya Luo | | 0.0740 |  | 265 | See |  |  | |
556 |
A*01:01 |  | Kenya Nandi | | 0.1180 |  | 240 | See |  |  | |
557 |
A*01:01 |  | Kenya, Nyanza Province, Luo tribe | 9.0 | 0.0450 |  | 100 | See |  |  |
|
558 |
A*01:01 |  | Kosovo | 21.0 | 0.1048 |  | 124 | See |  |  |
|
559 |
A*01:01 |  | Malaysia Champa | 13.8 | 0.0690 |  | 29 | See |  |  |
|
560 |
A*01:01 |  | Malaysia Kelantan | 3.6 | 0.0180 |  | 28 | See |  |  |
|
561 |
A*01:01 |  | Malaysia Mandailing | 7.4 | 0.0370 |  | 27 | See |  |  |
|
562 |
A*01:01 |  | Malaysia Patani | 4.0 | 0.0200 |  | 25 | See |  |  |
|
563 |
A*01:01 |  | Malaysia Peninsular Chinese | 1.0 | 0.0052 |  | 194 | See |  |  |
|
564 |
A*01:01 |  | Malaysia Peninsular Indian | 28.8 | 0.1642 |  | 271 | See |  |  |
|
565 |
A*01:01 |  | Malaysia Peninsular Malay | 4.5 | 0.0231 |  | 951 | See |  |  |
|
566 |
A*01:01 |  | Mali Bandiagara | | 0.0070 |  | 138 | See |  |  | |
567 |
A*01:01 |  | Mexico Chiapas Lacandon Mayans | | 0.0023 |  | 218 | See |  |  |
|
568 |
A*01:01 |  | Mexico Chihuahua Chihuahua City Pop 2 | 18.2 | 0.0909 |  | 88 | See |  |  |
|
569 |
A*01:01 |  | Mexico Mestizo | 14.6 | 0.0850 |  | 41 | See |  |  | |
570 |
A*01:01 |  | Mexico Mexico City Mestizo pop 2 | | 0.0363 |  | 234 | See |  |  | |
571 |
A*01:01 |  | Mexico Mexico City Mestizo population | | 0.0874 |  | 143 | See |  |  |
|
572 |
A*01:01 |  | Mexico Mexico City Tlalpan | 12.1 | 0.0606 |  | 330 | See |  |  |
|
573 |
A*01:01 |  | Mexico Mixtec | | 0.0100 |  | 97 | See |  |  | |
574 |
A*01:01 |  | Mexico Oaxaca Jamiltepec Mixtec | | 0.0100 |  | 96 | See |  |  |
|
575 |
A*01:01 |  | Mexico Oaxaca Mixe | | 0.0190 |  | 55 | See |  |  | |
576 |
A*01:01 |  | Mexico Oaxaca Mixtec | | 0 |  | 103 | See |  |  | |
577 |
A*01:01 |  | Mexico Oaxaca Zapotec | | 0.0220 |  | 90 | See |  |  | |
578 |
A*01:01 |  | Mexico Veracruz Xalapa | 3.6 | 0.0179 |  | 84 | See |  |  |
|
579 |
A*01:01 |  | Netherlands Leiden | | 0.1750 |  | 1,305 | See |  |  | |
580 |
A*01:01 |  | Netherlands UMCU | 37.5 | 0.1953 |  | 64 | See |  |  | |
581 |
A*01:01 |  | New Zealand Maori with Admixed History | 12.4 | 0.0620 |  | 105 | See |  |  |
|
582 |
A*01:01 |  | New Zealand Maori with Full Ancestry | 8.7 | 0.0440 |  | 46 | See |  |  |
|
583 |
A*01:01 |  | New Zealand Polynesians with Admixed History | 11.1 | 0.0560 |  | 27 | See |  |  |
|
584 |
A*01:01 |  | New Zealand Polynesians with Full Ancestry | 9.5 | 0.0480 |  | 21 | See |  |  |
|
585 |
A*01:01 |  | Nicaragua Managua | 7.2 | 0.0374 |  | 339 | See |  |  |
|
586 |
A*01:01 |  | Oman | 14.4 | 0.0720 |  | 118 | See |  |  | |
587 |
A*01:01 |  | Pakistan Baloch | | 0.0300 |  | 66 | See |  |  | |
588 |
A*01:01 |  | Pakistan Brahui | | 0.0630 |  | 104 | See |  |  | |
589 |
A*01:01 |  | Pakistan Burusho | | 0.0540 |  | 92 | See |  |  | |
590 |
A*01:01 |  | Pakistan Kalash | | 0 |  | 69 | See |  |  | |
591 |
A*01:01 |  | Pakistan Karachi Parsi | | 0.0830 |  | 91 | See |  |  | |
592 |
A*01:01 |  | Pakistan Mixed Pathan | | 0.1280 |  | 100 | See |  |  | |
593 |
A*01:01 |  | Pakistan Mixed Sindhi | | 0.1330 |  | 101 | See |  |  | |
594 |
A*01:01 |  | Panama | | 0.0396 |  | 462 | See |  |  |
|
595 |
A*01:01 |  | Peru Titikaka Lake Uro | | 0.0050 |  | 105 | See |  |  | |
596 |
A*01:01 |  | Peru Titikaka Lake Uros | | 0.0050 |  | 105 | See |  |  |
|
597 |
A*01:01 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
598 |
A*01:01 |  | Poland | | 0.1330 |  | 200 | See |  |  | |
599 |
A*01:01 |  | Poland DKMS | | 0.1377 |  | 20,653 | See |  |  | |
600 |
A*01:01 |  | Portugal Azores Terceira Island | 21.9 | 0.1096 |  | 130 | 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 501 to 600
(from 30,451) records |
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