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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 30,407) records |
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