Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
26,401 |
A*68 | | England London Ashkenazi Jews | | 0.0640 | | 500 | See | | | |
26,402 |
A*68 | | England Manchester | 6.7 | 0.0340 | | 1,640 | See | | | |
26,403 |
A*68 | | England Newcastle | 8.1 | 0.0413 | | 2,739 | See | | | |
26,404 |
A*68 | | England North West Mixed pop 2 | 11.4 | 0.0567 | | 379 | See | | | |
26,405 |
A*68 | | England Sheffield | 7.7 | 0.0392 | | 4,755 | See | | | |
26,406 |
A*68 | | France Bordeaux | 5.8 | 0.0290 | | 990 | See | | | |
26,407 |
A*68 | | France Grenoble | 8.3 | 0.0420 | | 1,000 | See | | | |
26,408 |
A*68 | | France Grenoble, Nantes and Rennes | | 0.0380 | | 6,094 | See | | | |
26,409 |
A*68 | | France Lyon | 8.5 | 0.0433 | | 4,813 | See | | | |
26,410 |
A*68 | | France Marseille | 8.6 | 0.0429 | | 1,000 | See | | | |
26,411 |
A*68 | | France Reims | | 0.0440 | | 102 | See | | | |
26,412 |
A*68 | | France Rennes pop 3 | | 0.0500 | | 200 | See | | | |
26,413 |
A*68 | | France Rennes pop 4 | 8.2 | 0.0415 | | 1,000 | See | | | |
26,414 |
A*68 | | France Southeast | 10.8 | 0.0550 | | 130 | See | | | |
26,415 |
A*68 | | Gaza Palestinians | | 0.0360 | | 165 | See | | |
|
26,416 |
A*68 | | Georgia Kurds | | 0.0860 | | 30 | See | | |
|
26,417 |
A*68 | | Germany | 8.1 | 0.0413 | | 11,407 | See | | | |
26,418 |
A*68 | | Germany Essen | 12.1 | 0.0610 | | 174 | See | | | |
26,419 |
A*68 | | Ghana Accre Asutuare Akan | | 0.1460 | | 429 | See | | | |
26,420 |
A*68 | | Greece Crete | | 0.0150 | | 135 | See | | | |
26,421 |
A*68 | | Greece North | | 0.0480 | | 500 | See | | | |
26,422 |
A*68 | | Greece pop 7 | | 0.0404 | | 11,250 | See | | | |
26,423 |
A*68 | | Greece pop3 | 6.9 | 0.0351 | | 246 | See | | | |
26,424 |
A*68 | | Guatemala Mayan | | 0.1580 | | 132 | See | | | |
26,425 |
A*68 | | Guatemala, Guatemala City Mixed Ancestry | 30.7 | 0.1654 | | 127 | See | | |
|
26,426 |
A*68 | | India Kerala Hindu Ezhava | | 0.0420 | | 24 | See | | | |
26,427 |
A*68 | | India Kerala Hindu Nair | | 0.0490 | | 41 | See | | | |
26,428 |
A*68 | | India Kerala Hindu Namboothiri | | 0.1130 | | 40 | See | | | |
26,429 |
A*68 | | India Kerala Hindu Pulaya | | 0 | | 16 | See | | | |
26,430 |
A*68 | | India Kerala Malabar Muslim | | 0.0290 | | 34 | See | | | |
26,431 |
A*68 | | India Kerala Syrian Christian | | 0.0320 | | 31 | See | | | |
26,432 |
A*68 | | India North Gujarat | 5.6 | 0.0296 | | 338 | See | | | |
26,433 |
A*68 | | India North pop 3 | | 0.0500 | | 587 | See | | | |
26,434 |
A*68 | | India sub-Himalayan West Bengal Kami | 5.1 | 0.0253 | | 158 | See | | |
|
26,435 |
A*68 | | Iran pop 1 | | 0.0470 | | 64 | See | | | |
26,436 |
A*68 | | Iran pop 4 | | 0.0509 | | 855 | See | | |
|
26,437 |
A*68 | | Iran Royan Cord Blood Bank | 7.9 | 0.0400 | | 15,600 | See | | | |
26,438 |
A*68 | | Iraq Arabs | 10.1 | 0.0503 | | 149 | See | | |
|
26,439 |
A*68 | | Iraq Erbil | 9.4 | 0.0471 | | 372 | See | | |
|
26,440 |
A*68 | | Iraq Kurdistan Region | 7.7 | 0.0380 | | 209 | See | | | |
26,441 |
A*68 | | Ireland South pop 2 | | 0.0360 | | 17,624 | See | | | |
26,442 |
A*68 | | Israel Ashkenazi Jews pop 2 | | 0.0930 | | 132 | See | | | |
26,443 |
A*68 | | Israel Jews pop 2 | 8.6 | 0.0440 | | 23,000 | See | | | |
26,444 |
A*68 | | Israel Moroccan Jews | | 0.0540 | | 113 | See | | | |
26,445 |
A*68 | | Italy | | 0.0390 | | 159,311 | See | | | |
26,446 |
A*68 | | Italy East Sicily | 8.0 | 0.0400 | | 50 | See | | |
|
26,447 |
A*68 | | Italy Lombardy | 7.7 | 0.0400 | | 674 | See | | |
|
26,448 |
A*68 | | Italy North Pavia | | 0.0560 | | 81 | See | | | |
26,449 |
A*68 | | Italy North Pavia pop 2 | 7.0 | 0.0360 | | 2,416 | See | | | |
26,450 |
A*68 | | Italy North Pavia pop 3 | | 0.0398 | | 685 | See | | | |
26,451 |
A*68 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
26,452 |
A*68 | | Italy pop 6 | 7.1 | 0.0353 | | 184 | See | | | |
26,453 |
A*68 | | Italy Rome | 10.0 | 0.0500 | | 100 | See | | | |
26,454 |
A*68 | | Italy South Campania Region | 4.3 | 0.0217 | | 1,089 | See | | | |
26,455 |
A*68 | | Japan Hyogo Osaka and Nagano | | 0 | | 195 | See | | | |
26,456 |
A*68 | | Jordan | | 0.0480 | | 15,141 | See | | | |
26,457 |
A*68 | | Jordan Amman | | 0.0620 | | 146 | See | | | |
26,458 |
A*68 | | Macedonia | | 0.0437 | | 286 | See | | |
|
26,459 |
A*68 | | Macedonia MBMDR - Albanian | 12.5 | 0.0625 | | 128 | See | | |
|
26,460 |
A*68 | | Macedonia MBMDR - Macedonian | 8.4 | 0.0425 | | 1,283 | See | | |
|
26,461 |
A*68 | | Macedonia MBMDR - Macedonian Muslims | 7.9 | 0.0395 | | 76 | See | | |
|
26,462 |
A*68 | | Macedonia pop 3 | | 0.0380 | | 172 | See | | | |
26,463 |
A*68 | | Macedonia pop 4 | | 0.0490 | | 216 | See | | | |
26,464 |
A*68 | | Madeira pop 2 | | 0.0780 | | 173 | See | | | |
26,465 |
A*68 | | Madeira pop 3 | | 0.0590 | | 538 | See | | | |
26,466 |
A*68 | | Malaysia Negeri Sembilan Minangkabau | | 0 | | 34 | See | | | |
26,467 |
A*68 | | Malaysia Perak and Johor Banjar Bugis Jawa | | 0 | | 94 | See | | | |
26,468 |
A*68 | | Malaysia Perak Rawa | | 0 | | 23 | See | | | |
26,469 |
A*68 | | Malaysia pop 2 | | 0.0160 | | 62 | See | | | |
26,470 |
A*68 | | Malaysia pop 3 | | 0.0070 | | 1,445 | See | | | |
26,471 |
A*68 | | Martinique | | 0.0700 | | 100 | See | | | |
26,472 |
A*68 | | Mexico Aguascalientes state | | 0.0842 | | 95 | See | | | |
26,473 |
A*68 | | Mexico Baja Californa, Mexicali | | 0.1450 | | 100 | See | | |
|
26,474 |
A*68 | | Mexico Baja California Rural | | 0.1800 | | 50 | See | | |
|
26,475 |
A*68 | | Mexico Baja California, La Paz | | 0.1200 | | 75 | See | | |
|
26,476 |
A*68 | | Mexico Baja California, Tijuana | | 0.1200 | | 25 | See | | |
|
26,477 |
A*68 | | Mexico Campeche Rural | | 0.1915 | | 47 | See | | |
|
26,478 |
A*68 | | Mexico Campeche, Campeche city | | 0.2500 | | 34 | See | | |
|
26,479 |
A*68 | | Mexico Chiapas Rural | | 0.1901 | | 121 | See | | |
|
26,480 |
A*68 | | Mexico Chiapas, Tuxtla Gutierrez | | 0.1415 | | 52 | See | | |
|
26,481 |
A*68 | | Mexico Chihuahua Chihuahua City | | 0.0840 | | 119 | See | | |
|
26,482 |
A*68 | | Mexico Chihuahua Rural | | 0.0941 | | 236 | See | | |
|
26,483 |
A*68 | | Mexico Chihuahua, Ciudad Juarez | | 0.1111 | | 106 | See | | |
|
26,484 |
A*68 | | Mexico Coahuila Rural | | 0.0826 | | 216 | See | | |
|
26,485 |
A*68 | | Mexico Coahuila, Saltillo | | 0.1712 | | 72 | See | | |
|
26,486 |
A*68 | | Mexico Coahuila, Torreon | | 0.0938 | | 396 | See | | |
|
26,487 |
A*68 | | Mexico Colima Rural | | 0.1023 | | 43 | See | | |
|
26,488 |
A*68 | | Mexico Colima, Colima city | | 0.2541 | | 61 | See | | |
|
26,489 |
A*68 | | Mexico Durango Rural | | 0.0994 | | 326 | See | | |
|
26,490 |
A*68 | | Mexico Durango, Durango city | | 0.1000 | | 153 | See | | |
|
26,491 |
A*68 | | Mexico Guanajuato Rural | | 0.0982 | | 162 | See | | |
|
26,492 |
A*68 | | Mexico Guanajuato, Guanajuato city | | 0.2273 | | 22 | See | | |
|
26,493 |
A*68 | | Mexico Guanajuato, Leon | | 0.1474 | | 78 | See | | |
|
26,494 |
A*68 | | Mexico Guerrero state | | 0.1424 | | 144 | See | | |
|
26,495 |
A*68 | | Mexico Hidalgo Rural | | 0.1605 | | 81 | See | | |
|
26,496 |
A*68 | | Mexico Hidalgo, Pachuca | | 0.1098 | | 41 | See | | |
|
26,497 |
A*68 | | Mexico Huasteca Region Teenek | | 0.3420 | | 55 | See | | | |
26,498 |
A*68 | | Mexico Jalisco Rural | | 0.1160 | | 585 | See | | |
|
26,499 |
A*68 | | Mexico Jalisco, Guadalajara city | | 0.1269 | | 1,189 | See | | |
|
26,500 |
A*68 | | Mexico Jalisco, Tlajomulco | | 0.1333 | | 30 | See | | |
|
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
: 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).
were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
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
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.