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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*01:01:03 |  | Latvia | | 0.0038 |  | 266 | See |  |  |
|
| 402 |
A*01:01:03 |  | Poland BMR | 0.0042 | 0.0000210 |  | 23,595 | See |  |  |
|
| 403 |
A*01:01:03 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 404 |
A*01:01:09 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 405 |
A*01:01:11 |  | Pakistan Mixed Punjabi | 0.2 | 0.0013 |  | 389 | See |  |  |
|
| 406 |
A*01:01:12 |  | Pakistan Mixed Punjabi | 0.8 | 0.0039 |  | 389 | See |  |  |
|
| 407 |
A*01:01:13 |  | Russia Moscow Russians | 0.0380 | 0.0002 |  | 13,147 | See |  |  | |
| 408 |
A*01:01:13 |  | Russia Moscow Tatars | 0.0398 | 0.0002 |  | 2,512 | See |  |  | |
| 409 |
A*01:01:14 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 410 |
A*01:01:26 |  | Russia Moscow Russians | 0.0152 | 0.0000760 |  | 13,147 | See |  |  | |
| 411 |
A*01:01:27 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 412 |
A*01:01:33 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 413 |
A*01:01:33 |  | Russia Nizhny Novgorod, Russians | 0.0662 | 0.0003 |  | 1,510 | See |  |  |
|
| 414 |
A*01:01:38L |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  |
|
| 415 |
A*01:01:41 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 416 |
A*01:01:44 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 417 |
A*01:01:44 |  | Russia Moscow Similar genetically to Azerbaijan | 0.6 | 0.0029 |  | 170 | See |  |  | |
| 418 |
A*01:01:58 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 419 |
A*01:01:69 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 420 |
A*01:01:76 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 421 |
A*01:01:76 |  | Russia Moscow Tatars | 0.0398 | 0.0002 |  | 2,512 | See |  |  | |
| 422 |
A*01:01:78 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 423 |
A*01:01:81 |  | Russia Moscow Yakut | 0.4 | 0.0021 |  | 235 | See |  |  | |
| 424 |
A*01:01:83 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 425 |
A*01:01:85 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 426 |
A*01:01:86 |  | Pakistan Mixed Punjabi | 1.8 | 0.0090 |  | 389 | See |  |  |
|
| 427 |
A*01:01:101 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 428 |
A*01:01:103 |  | Russia Moscow Tatars | 0.0398 | 0.0002 |  | 2,512 | See |  |  | |
| 429 |
A*01:02:01 |  | Russia Moscow Russians | 0.2 | 0.0010 |  | 13,147 | See |  |  | |
| 430 |
A*01:02:01 |  | Russia Moscow Tatars | 0.0796 | 0.0004 |  | 2,512 | See |  |  | |
| 431 |
A*01:02 |  | Argentina Rosario Toba | 1.2 | 0.0060 |  | 86 | See |  |  | |
| 432 |
A*01:02 |  | Belgium pop 3 | 0.1 | 0.0006 |  | 31,412 | See |  |  |
|
| 433 |
A*01:02 |  | Brazil Barra Mansa Rio State Caucasian | | 0.0012 |  | 405 | See |  |  |
|
| 434 |
A*01:02 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 435 |
A*01:02 |  | Brazil Rio de Janeiro Caucasian | | 0.0010 |  | 521 | See |  |  |
|
| 436 |
A*01:02 |  | Brazil Vale do Ribeira Quilombos | 0.0030 | 0 |  | 144 | See |  |  | |
| 437 |
A*01:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 438 |
A*01:02 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
| 439 |
A*01:02 |  | Cameroon Bamileke | | 0 |  | 77 | See |  |  | |
| 440 |
A*01:02 |  | Cameroon Beti | | 0.0030 |  | 174 | See |  |  | |
| 441 |
A*01:02 |  | Cameroon Sawa | | 0 |  | 13 | See |  |  | |
| 442 |
A*01:02 |  | Cape Verde Northwestern Islands | | 0 |  | 62 | See |  |  | |
| 443 |
A*01:02 |  | Cape Verde Southeastern Islands | | 0.0160 |  | 62 | See |  |  | |
| 444 |
A*01:02 |  | Central African Republic Mbenzele Pygmy | 0.0 | 0 |  | 36 | See |  |  | |
| 445 |
A*01:02 |  | China Jiangsu Province Han | | 0.0018 |  | 334 | See |  |  | |
| 446 |
A*01:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 447 |
A*01:02 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 448 |
A*01:02 |  | Colombia Bogotá Cord Blood | 0.5 | 0.0027 |  | 1,463 | See |  |  | |
| 449 |
A*01:02 |  | Costa Rica African -Caribbean (G) | 2.0 (*) | 0.0100 (*) |  | 102 | See |  |  |
|
| 450 |
A*01:02 |  | Costa Rica Amerindians (G) | 1.6 (*) | 0.0080 (*) |  | 125 | See |  |  |
|
| 451 |
A*01:02 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 452 |
A*01:02 |  | Croatia pop 4 | | 0.0001 |  | 4,000 | See |  |  | |
| 453 |
A*01:02 |  | Cuba Caucasian | 0.0 | 0 |  | 70 | See |  |  | |
| 454 |
A*01:02 |  | Cuba Mixed Race | 0.0 | 0 |  | 42 | See |  |  | |
| 455 |
A*01:02 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 456 |
A*01:02 |  | Czech Republic NMDR | | 0.0001 |  | 5,099 | See |  |  | |
| 457 |
A*01:02 |  | France French Bone Marrow Donor Registry | | 0.0073 |  | 42,623 | See |  |  | |
| 458 |
A*01:02 |  | Germany DKMS - Croatia minority | | 0.0002 |  | 2,057 | See |  |  | |
| 459 |
A*01:02 |  | Germany DKMS - German donors | | 0.0000980 |  | 3,456,066 | See |  |  |
|
| 460 |
A*01:02 |  | Germany DKMS - Greece minority | | 0.0003 |  | 1,894 | See |  |  | |
| 461 |
A*01:02 |  | Germany DKMS - Italy minority | | 0.0022 |  | 1,159 | See |  |  | |
| 462 |
A*01:02 |  | Germany DKMS - Portugal minority | | 0.0013 |  | 1,176 | See |  |  | |
| 463 |
A*01:02 |  | Germany DKMS - Spain minority | | 0.0027 |  | 1,107 | See |  |  | |
| 464 |
A*01:02 |  | Germany DKMS - Turkey minority | | 0.0002 |  | 4,856 | See |  |  | |
| 465 |
A*01:02 |  | Germany DKMS - United Kingdom minority | | 0.0010 |  | 1,043 | See |  |  | |
| 466 |
A*01:02 |  | Germany pop 6 | | 0.0002 |  | 8,862 | See |  |  | |
| 467 |
A*01:02 |  | Germany pop 8 | | 0.0000900 |  | 39,689 | See |  |  | |
| 468 |
A*01:02 |  | Guinea Bissau | | 0.0080 |  | 65 | See |  |  | |
| 469 |
A*01:02 |  | Guinea Bissau Balanta | | 0.0210 |  | 48 | See |  |  | |
| 470 |
A*01:02 |  | Guinea Bissau Bijago | | 0 |  | 23 | See |  |  | |
| 471 |
A*01:02 |  | Guinea Bissau Fula | | 0 |  | 31 | See |  |  | |
| 472 |
A*01:02 |  | Guinea Bissau Papel | | 0.0200 |  | 25 | See |  |  | |
| 473 |
A*01:02 |  | Hong Kong Chinese | 0.0 | 0 |  | 569 | See |  |  | |
| 474 |
A*01:02 |  | India Delhi pop 2 | 6.7 | 0.0330 |  | 90 | See |  |  | |
| 475 |
A*01:02 |  | Iran Gorgan | | 0.0470 |  | 64 | See |  |  |
|
| 476 |
A*01:02 |  | Iran Kurd pop 2 | | 0.0250 |  | 60 | See |  |  |
|
| 477 |
A*01:02 |  | Iran Saqqez-Baneh Kurds | | 0.0250 |  | 60 | See |  |  |
|
| 478 |
A*01:02 |  | Iran Tabriz Azeris | | 0.0619 |  | 97 | See |  |  |
|
| 479 |
A*01:02 |  | Ireland Northern | 0.0 | 0 |  | 1,000 | See |  |  | |
| 480 |
A*01:02 |  | Israel Arab pop 2 | | 0.0000410 |  | 12,301 | See |  |  |
|
| 481 |
A*01:02 |  | Israel Argentina Jews | | 0.0000580 |  | 4,307 | See |  |  |
|
| 482 |
A*01:02 |  | Israel Bukhara Jews | | 0.0001 |  | 2,317 | See |  |  |
|
| 483 |
A*01:02 |  | Israel Georgia Jews | | 0.0000560 |  | 4,471 | See |  |  |
|
| 484 |
A*01:02 |  | Israel Iran Jews | | 0.0000200 |  | 8,153 | See |  |  |
|
| 485 |
A*01:02 |  | Israel Iraq Jews | | 0.0000190 |  | 13,270 | See |  |  |
|
| 486 |
A*01:02 |  | Israel Morocco Jews | | 0.0001 |  | 36,718 | See |  |  |
|
| 487 |
A*01:02 |  | Israel Poland Jews | | 0.0002 |  | 13,871 | See |  |  |
|
| 488 |
A*01:02 |  | Israel Tunisia Jews | | 0.0000140 |  | 9,070 | See |  |  |
|
| 489 |
A*01:02 |  | Israel USA Jews | | 0.0002 |  | 6,058 | See |  |  |
|
| 490 |
A*01:02 |  | Israel USSR Jews | | 0.0000770 |  | 45,681 | See |  |  |
|
| 491 |
A*01:02 |  | Israel YemenJews | | 0.0000640 |  | 15,542 | See |  |  |
|
| 492 |
A*01:02 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 493 |
A*01:02 |  | Italy pop 5 | | 0.0030 |  | 975 | See |  |  | |
| 494 |
A*01:02 |  | Kenya Luo | | 0.0040 |  | 265 | See |  |  | |
| 495 |
A*01:02 |  | Kenya Nandi | | 0.0270 |  | 240 | See |  |  | |
| 496 |
A*01:02 |  | Madeira | | 0.0080 |  | 185 | See |  |  | |
| 497 |
A*01:02 |  | Mali Bandiagara | | 0.0110 |  | 138 | See |  |  | |
| 498 |
A*01:02 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 499 |
A*01:02 |  | Mexico Mexico City Mestizo pop 2 | | 0.0043 |  | 234 | See |  |  | |
| 500 |
A*01:02 |  | Morocco Atlantic Coast Chaouya | | 0.0070 |  | 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
(from 161,835) records |
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