Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
25,501 |
A*66 | | China Shaanxi Province Han | | 0.0010 | | 10,000 | See | | | |
25,502 |
A*66 | | China Shandong Province | 0.2 | 0.0010 | | 7,418 | See | | | |
25,503 |
A*66 | | China Shandong Province Linqu County | 1.4 | 0.0070 | | 139 | See | | | |
25,504 |
A*66 | | China Shanghai | | 0.0004 | | 26,266 | See | | | |
25,505 |
A*66 | | China Yunnan Province Han pop 2 | | 0.0290 | | 129 | See | | | |
25,506 |
A*66 | | China Yunnan Province Naxi | | 0 | | 118 | See | | | |
25,507 |
A*66 | | Colombia Barranquilla | | 0.0185 | | 188 | See | | |
|
25,508 |
A*66 | | Colombia San Basilio de Palenque | | 0.0120 | | 42 | See | | |
|
25,509 |
A*66 | | Croatia pop 2 | | 0 | | 100 | See | | | |
25,510 |
A*66 | | Croatia pop 3 | 1.7 | 0.0083 | | 120 | See | | | |
25,511 |
A*66 | | Cuba Mixed | | 0.0080 | | 78 | See | | | |
25,512 |
A*66 | | Cuba Mixed pop 2 | | 0.0270 | | 189 | See | | | |
25,513 |
A*66 | | Cuba Mixed Race | 4.8 | 0.0230 | | 42 | See | | | |
25,514 |
A*66 | | Czech Republic Kurd | 5.4 | 0.0270 | | 74 | See | | | |
25,515 |
A*66 | | Czech Republic Romani pop 2 | 2.2 | 0.0109 | | 46 | See | | | |
25,516 |
A*66 | | Ecuador Amazonia Mixed Ancestry | | 0 | | 39 | See | | |
|
25,517 |
A*66 | | Ecuador Andes Mixed Ancestry | | 0.0036 | | 824 | See | | |
|
25,518 |
A*66 | | Ecuador Coast Mixed Ancestry | | 0.0063 | | 238 | See | | |
|
25,519 |
A*66 | | Ecuador Mixed Ancestry | | 0.0038 | | 1,173 | See | | |
|
25,520 |
A*66 | | England Lancaster | 0.4 | 0.0020 | | 545 | See | | | |
25,521 |
A*66 | | England Leeds | 0.4 | 0.0020 | | 5,024 | See | | | |
25,522 |
A*66 | | England Liverpool | 0.7 | 0.0035 | | 1,343 | See | | | |
25,523 |
A*66 | | England London Ashkenazi Jews | | 0.0070 | | 500 | See | | | |
25,524 |
A*66 | | England Manchester | 0.8 | 0.0040 | | 1,640 | See | | | |
25,525 |
A*66 | | England Newcastle | 0.7 | 0.0035 | | 2,739 | See | | | |
25,526 |
A*66 | | England North West Mixed pop 2 | 0.5 | 0.0026 | | 379 | See | | | |
25,527 |
A*66 | | England Sheffield | 0.6 | 0.0030 | | 4,755 | See | | | |
25,528 |
A*66 | | France Bordeaux | 0.5 | 0.0027 | | 990 | See | | | |
25,529 |
A*66 | | France Corsica Island | | 0 | | 100 | See | | | |
25,530 |
A*66 | | France Grenoble | 0.9 | 0.0043 | | 1,000 | See | | | |
25,531 |
A*66 | | France Grenoble, Nantes and Rennes | | 0.0030 | | 6,094 | See | | | |
25,532 |
A*66 | | France Lyon | 1.0 | 0.0051 | | 4,813 | See | | | |
25,533 |
A*66 | | France Marseille | 0.6 | 0.0032 | | 1,000 | See | | | |
25,534 |
A*66 | | France Reims | | 0.0050 | | 102 | See | | | |
25,535 |
A*66 | | France Rennes pop 4 | 1.4 | 0.0070 | | 1,000 | See | | | |
25,536 |
A*66 | | France Southeast | 0.8 | 0.0040 | | 130 | See | | | |
25,537 |
A*66 | | Gaza Palestinians | | 0.0090 | | 165 | See | | |
|
25,538 |
A*66 | | Germany | 0.8 | 0.0040 | | 11,407 | See | | | |
25,539 |
A*66 | | Ghana Accre Asutuare Akan | | 0.0320 | | 429 | See | | | |
25,540 |
A*66 | | Greece North | | 0.0070 | | 500 | See | | | |
25,541 |
A*66 | | Greece pop 7 | | 0.0056 | | 11,250 | See | | | |
25,542 |
A*66 | | Greece pop3 | 0.4 | 0.0020 | | 246 | See | | | |
25,543 |
A*66 | | Guatemala, Guatemala City Mixed Ancestry | 1.6 | 0.0079 | | 127 | See | | |
|
25,544 |
A*66 | | India North pop 3 | | 0.0009 | | 587 | See | | | |
25,545 |
A*66 | | India sub-Himalayan West Bengal Kami | 0.6 | 0.0032 | | 158 | See | | |
|
25,546 |
A*66 | | Iran pop 4 | | 0.0099 | | 855 | See | | |
|
25,547 |
A*66 | | Iran Royan Cord Blood Bank | 1.0 | 0.0050 | | 15,600 | See | | | |
25,548 |
A*66 | | Iraq Arabs | 1.3 | 0.0067 | | 149 | See | | |
|
25,549 |
A*66 | | Iraq Erbil | 0.5 | 0.0027 | | 372 | See | | |
|
25,550 |
A*66 | | Iraq Kurdistan Region | 1.0 | 0.0050 | | 209 | See | | | |
25,551 |
A*66 | | Ireland South pop 2 | | 0.0027 | | 17,624 | See | | | |
25,552 |
A*66 | | Israel Jews pop 2 | 2.7 | 0.0130 | | 23,000 | See | | | |
25,553 |
A*66 | | Italy | | 0.0010 | | 159,311 | See | | | |
25,554 |
A*66 | | Italy Lombardy | 1.6 | 0.0080 | | 674 | See | | |
|
25,555 |
A*66 | | Italy North Pavia pop 2 | 1.3 | 0.0060 | | 2,416 | See | | | |
25,556 |
A*66 | | Italy North Pavia pop 3 | | 0.0066 | | 685 | See | | | |
25,557 |
A*66 | | Italy pop 6 | 1.1 | 0.0054 | | 184 | See | | | |
25,558 |
A*66 | | Italy Rome | 1.0 | 0.0050 | | 100 | See | | | |
25,559 |
A*66 | | Italy Sardinia pop3 | | 0 | | 100 | See | | | |
25,560 |
A*66 | | Italy South Campania Region | 0.6 | 0.0030 | | 1,089 | See | | | |
25,561 |
A*66 | | Japan Hyogo Osaka and Nagano | | 0 | | 195 | See | | | |
25,562 |
A*66 | | Jordan | | 0.0080 | | 15,141 | See | | | |
25,563 |
A*66 | | Macedonia | | 0.0017 | | 286 | See | | |
|
25,564 |
A*66 | | Macedonia MBMDR - Macedonian | 0.7 | 0.0035 | | 1,283 | See | | |
|
25,565 |
A*66 | | Macedonia pop 4 | | 0.0020 | | 216 | See | | | |
25,566 |
A*66 | | Madeira pop 2 | | 0.0060 | | 173 | See | | | |
25,567 |
A*66 | | Madeira pop 3 | | 0.0070 | | 538 | See | | | |
25,568 |
A*66 | | Malaysia Negeri Sembilan Minangkabau | | 0.0100 | | 34 | See | | | |
25,569 |
A*66 | | Malaysia Perak and Johor Banjar Bugis Jawa | | 0.0160 | | 94 | See | | | |
25,570 |
A*66 | | Malaysia Perak Rawa | | 0 | | 23 | See | | | |
25,571 |
A*66 | | Malaysia pop 2 | | 0 | | 62 | See | | | |
25,572 |
A*66 | | Mexico Aguascalientes state | | 0.0053 | | 95 | See | | | |
25,573 |
A*66 | | Mexico Baja Californa, Mexicali | | 0.0150 | | 100 | See | | |
|
25,574 |
A*66 | | Mexico Baja California Rural | | 0.0100 | | 50 | See | | |
|
25,575 |
A*66 | | Mexico Baja California, La Paz | | 0.0067 | | 75 | See | | |
|
25,576 |
A*66 | | Mexico Baja California, Tijuana | | 0 | | 25 | See | | |
|
25,577 |
A*66 | | Mexico Campeche Rural | | 0 | | 47 | See | | |
|
25,578 |
A*66 | | Mexico Campeche, Campeche city | | 0 | | 34 | See | | |
|
25,579 |
A*66 | | Mexico Chiapas Rural | | 0.0165 | | 121 | See | | |
|
25,580 |
A*66 | | Mexico Chiapas, Tuxtla Gutierrez | | 0 | | 52 | See | | |
|
25,581 |
A*66 | | Mexico Chihuahua Chihuahua City | | 0.0042 | | 119 | See | | |
|
25,582 |
A*66 | | Mexico Chihuahua Rural | | 0.0105 | | 236 | See | | |
|
25,583 |
A*66 | | Mexico Chihuahua, Ciudad Juarez | | 0 | | 106 | See | | |
|
25,584 |
A*66 | | Mexico Coahuila Rural | | 0.0069 | | 216 | See | | |
|
25,585 |
A*66 | | Mexico Coahuila, Saltillo | | 0 | | 72 | See | | |
|
25,586 |
A*66 | | Mexico Coahuila, Torreon | | 0.0025 | | 396 | See | | |
|
25,587 |
A*66 | | Mexico Colima Rural | | 0 | | 43 | See | | |
|
25,588 |
A*66 | | Mexico Colima, Colima city | | 0 | | 61 | See | | |
|
25,589 |
A*66 | | Mexico Durango Rural | | 0.0138 | | 326 | See | | |
|
25,590 |
A*66 | | Mexico Durango, Durango city | | 0 | | 153 | See | | |
|
25,591 |
A*66 | | Mexico Guanajuato Rural | | 0.0031 | | 162 | See | | |
|
25,592 |
A*66 | | Mexico Guanajuato, Guanajuato city | | 0 | | 22 | See | | |
|
25,593 |
A*66 | | Mexico Guanajuato, Leon | | 0 | | 78 | See | | |
|
25,594 |
A*66 | | Mexico Guerrero state | | 0.0035 | | 144 | See | | |
|
25,595 |
A*66 | | Mexico Hidalgo Rural | | 0 | | 81 | See | | |
|
25,596 |
A*66 | | Mexico Hidalgo, Pachuca | | 0 | | 41 | See | | |
|
25,597 |
A*66 | | Mexico Huasteca Region Teenek | | 0.0090 | | 55 | See | | | |
25,598 |
A*66 | | Mexico Jalisco Rural | | 0.0085 | | 585 | See | | |
|
25,599 |
A*66 | | Mexico Jalisco, Guadalajara city | | 0.0029 | | 1,189 | See | | |
|
25,600 |
A*66 | | Mexico Jalisco, Tlajomulco | | 0.0167 | | 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.