Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
| USA OPTN African American | | 0.4850 | | 1510 | See | | | |
| USA OPTN Asian | | 0.4470 | | 261 | See | | | |
| USA OPTN Caucasian | | 0.4050 | | 8525 | See | | | |
| Myanmar Kayin | 61.4 | 0.3977 | | 44 | See | | |
|
| Malaysia pop 2 | | 0.3710 | | 62 | See | | | |
| Malaysia Negeri Sembilan Minangkabau | | 0.3500 | | 34 | See | | | |
| Pakistan Baloch | | 0.3400 | | 66 | See | | | |
| Pakistan Brahui | | 0.3400 | | 104 | See | | | |
| Serbia pop 3 | 54.7 | 0.3302 | | 1992 | See | | | |
| Myanmar Bamar | 58.7 | 0.3261 | | 46 | See | | |
|
| China pop1 | 52.4 | 0.3100 | | 103 | See | | | |
| Romania pop 2 | | 0.3000 | | 6936 | See | | | |
| Venezuela Zulia San Jose de Heras Mixed | | 0.3000 | | 20 | See | | | |
| Sri Lanka Colombo Sinhalese | | 0.2980 | | 101 | See | | | |
| USA OPTN Hispanic | | 0.2970 | | 1580 | See | | | |
| Malaysia Perak and Johor Banjar Bugis Jawa | | 0.2930 | | 94 | See | | | |
| Turkey Ankara | | 0.2900 | | 50 | See | | | |
| Croatia pop 2 | | 0.2870 | | 100 | See | | | |
| Romania pop 3 | 48.8 | 0.2782 | | 1469 | See | | | |
| Albania | | 0.2760 | | 160 | See | | | |
| Turkey pop 2 | | 0.2730 | | 228 | See | | | |
| Serbia Vojvodina | 45.5 | 0.2720 | | 400 | See | | | |
| Vietnam Hanoi | | 0.2600 | | 50 | See | | | |
| Malaysia Perak Rawa | | 0.2600 | | 23 | See | | | |
| Pakistan Karachi Parsi | | 0.2530 | | 91 | See | | | |
| Albania pop 2 | 43.0 | 0.2525 | | 432 | See | | | |
| Albanian Kosovo | | 0.2458 | | 120 | See | | | |
| Croatia pop 3 | 49.2 | 0.2458 | | 120 | See | | | |
| Russia Northwest pop 2 | 41.5 | 0.2350 | | 346 | See | | | |
| South Africa Limpopo Venda | | 0.2350 | | 117 | See | | | |
| Turkey pop 3 | | 0.2300 | | 50 | See | | | |
| Tanzania Dodoma Kongwa | | 0.2280 | | 212 | See | | | |
| Russia Northwest pop 3 | 42.0 | 0.2250 | | 100 | See | | | |
| Pakistan Mixed Pathan | | 0.2250 | | 100 | See | | | |
| Russia Northwest | 41.5 | 0.2250 | | 1011 | See | | | |
| USA Southeast African American | 37.5 | 0.2230 | | 112 | See | | | |
| India Bikaner Raikas | 39.6 | 0.2230 | | 143 | See | | | |
| Iran pop 3 | | 0.2200 | | 100 | See | | | |
| Pakistan Burusho | | 0.2200 | | 92 | See | | | |
| Mexico San Luis Potosi, San Luis Potosi city | | 0.2167 | | 30 | See | | |
|
| Brazil North East Mixed | | 0.2150 | | 205 | See | | | |
| Brazil Sao Paulo Mixed | 38.3 | 0.2120 | | 239 | See | | | |
| Burkina Faso Mossi | | 0.2100 | | 53 | See | | | |
| Pakistan Kalash | | 0.2100 | | 69 | See | | | |
| Spain Majorca | | 0.2080 | | 407 | See | | | |
| France Southeast | 36.9 | 0.2060 | | 130 | See | | | |
| Spain Minorca | | 0.2050 | | 94 | See | | | |
| Italy pop 4 | 36.8 | 0.2050 | | 4575 | See | | | |
| Burkina Faso Rimaibe | | 0.2000 | | 47 | See | | | |
| Trinidad South Asian | | 0.2000 | | 87 | See | | | |
| Russia Moscow | | 0.2000 | | 2650 | See | | | |
| Mexico Tamaulipas, Ciudad Victoria | | 0.1957 | | 23 | See | | |
|
| Spain Ibiza | | 0.1950 | | 88 | See | | | |
| Mexico Colima Rural | | 0.1932 | | 43 | See | | |
|
| United Kingdom South West | | 0.1844 | | 163 | See | | | |
| Spain Valencia | 33.3 | 0.1833 | | 577 | See | | | |
| Spain, Castilla y Leon, Northwest, | 33.8 | 0.1820 | | 1743 | See | | |
|
| India New Delhi pop 2 | | 0.1810 | | 102 | See | | | |
| Trinidad African | | 0.1800 | | 67 | See | | | |
| Portugal North pop 2 | | 0.1793 | | 1801 | See | | | |
| Mexico Sinaloa Mestizo | | 0.1790 | | 56 | See | | | |
| Iraq Kurdistan Region | 30.1 | 0.1750 | | 209 | See | | | |
| Jamaica | | 0.1740 | | 132 | See | | | |
| Ireland Wexford | 31.0 | 0.1700 | | 200 | See | | | |
| France West Breton | | 0.1670 | | 150 | See | | | |
| India Bikaner Non-Raikas | 30.3 | 0.1650 | | 127 | See | | | |
| Mexico Nayarit, Tepic | | 0.1649 | | 97 | See | | |
|
| Mexico Colima, Colima city | | 0.1639 | | 61 | See | | |
|
| Sweden pop 4 | 30.8 | 0.1630 | | 966 | See | | | |
| Venezuela Valencia and Maracaibo Caracus Mixed | | 0.1610 | | 96 | See | | | |
| Cuba Mixed | | 0.1600 | | 78 | See | | | |
| Mexico Guanajuato, Guanajuato city | | 0.1591 | | 22 | See | | |
|
| Mexico Sonora Rural | | 0.1574 | | 197 | See | | |
|
| Mexico Jalisco, Zapopan | | 0.1548 | | 168 | See | | |
|
| Mexico Sonora, Ciudad Obregón | | 0.1538 | | 143 | See | | |
|
| Mexico Queretaro Rural | | 0.1512 | | 43 | See | | |
|
| Mexico Sinaloa, Culiacán | | 0.1505 | | 103 | See | | |
|
| United Kingdom Central | | 0.1504 | | 135 | See | | | |
| United Kingdom North | | 0.1503 | | 330 | See | | | |
| United Kingdom pop 2 | | 0.1500 | | 101 | See | | | |
| Venezuela Zulia Maracaibo Mixed | | 0.1500 | | 20 | See | | | |
| England | 27.7 | 0.1497 | | 537 | See | | | |
| Norway pop 2 | | 0.1470 | | 576 | See | | | |
| Wales pop 2 | 26.7 | 0.1440 | | 39979 | See | | | |
| China Shandong Province Linqu County | 26.6 | 0.1432 | | 139 | See | | | |
| Mexico Michoacan, Morelia | | 0.1424 | | 150 | See | | |
|
| Mexico Veracruz, Orizaba | | 0.1417 | | 60 | See | | |
|
| Mexico Baja Californa, Mexicali | | 0.1400 | | 100 | See | | |
|
| Mexico Baja California, Tijuana | | 0.1400 | | 25 | See | | |
|
| Mexico Michoacan Rural | | 0.1390 | | 348 | See | | |
|
| Mexico Campeche Rural | | 0.1383 | | 47 | See | | |
|
| Norway ethnic Norwegians | 25.9 | 0.1381 | | 4510 | See | | |
|
| Norway Sami | | 0.1380 | | 200 | See | | | |
| United Kingdom East | | 0.1369 | | 163 | See | | | |
| Mexico Sonora, Hermosillo | | 0.1364 | | 99 | See | | |
|
| India North Gujarat | 27.3 | 0.1364 | | 338 | See | | | |
| Mexico Mexico City Mestizo | | 0.1360 | | 121 | See | | | |
| Mexico Veracruz, Coatzacoalcos | | 0.1339 | | 55 | See | | |
|
| Iraq Erbil | 25.6 | 0.1329 | | 372 | See | | |
|
| Ireland Donegal | 24.0 | 0.1310 | | 200 | See | | | |
| Mexico Puebla Mestizo | | 0.1310 | | 99 | See | | | |
| Mexico Jalisco, Guadalajara city | | 0.1294 | | 1189 | See | | |
|
| Mexico Zacatecas Rural | | 0.1264 | | 266 | See | | |
|
| Mexico Zacatecas, Zacatecas city | | 0.1250 | | 84 | See | | |
|
| Spain Majorcans Jews | | 0.1250 | | 103 | See | | | |
| Mexico Zacatecas, Fresnillo | | 0.1238 | | 103 | See | | |
|
| Saudi Arabia pop 4 | 22.2 | 0.1233 | | 499 | See | | | |
| Mexico Guanajuato Rural | | 0.1227 | | 162 | See | | |
|
| Mexico Veracruz, Poza Rica | | 0.1222 | | 45 | See | | |
|
| Mexico Mexico City East | | 0.1188 | | 79 | See | | |
|
| Mexico Tapachula, Chiapas Mestizo Population | 19.4 | 0.1181 | | 72 | See | | |
|
| Mexico Sinaloa Rural | | 0.1175 | | 183 | See | | |
|
| Saudi Arabia pop 2 | | 0.1170 | | 383 | See | | | |
| Mexico Morelos Rural | | 0.1167 | | 30 | See | | |
|
| Mexico Veracruz, Veracruz city | | 0.1163 | | 171 | See | | |
|
| Mexico Coahuila, Torreon | | 0.1138 | | 396 | See | | |
|
| Mexico Chiapas Rural | | 0.1116 | | 121 | See | | |
|
| Pakistan Mixed Sindhi | | 0.1110 | | 101 | See | | | |
| United Kingdom Orkney | | 0.1105 | | 88 | See | | | |
| Mexico Mexico City Center | | 0.1104 | | 152 | See | | |
|
| Mexico Quintana Roo Rural | | 0.1100 | | 50 | See | | |
|
| Mexico Nayarit Rural | | 0.1094 | | 64 | See | | |
|
| Mexico Chihuahua Chihuahua City | | 0.1092 | | 119 | See | | |
|
| Russia Transbaikal Territory Buryats | 21.0 | 0.1070 | | 150 | See | | |
|
| Mexico Veracruz Rural | | 0.1063 | | 539 | See | | |
|
| Mexico Jalisco Rural | | 0.1058 | | 585 | See | | |
|
| Mexico Chiapas, Tuxtla Gutierrez | | 0.1038 | | 52 | See | | |
|
| Mexico San Luis Potosi Rural | | 0.1034 | | 87 | See | | |
|
| Mexico Durango, Durango city | | 0.1032 | | 153 | See | | |
|
| Russia North Ossetian | 20.5 | 0.1024 | | 127 | See | | |
|
| Mexico Nuevo Leon Rural | | 0.1023 | | 439 | See | | |
|
| Mexico Baja California Rural | | 0.1000 | | 50 | See | | |
|
| Mexico Aguascalientes state | | 0.1000 | | 95 | See | | | |
| Georgia Kurds | | 0.1000 | | 30 | See | | |
|
| Ecuador Coast Mixed Ancestry | | 0.0987 | | 238 | See | | |
|
| Mexico Durango Rural | | 0.0979 | | 326 | See | | |
|
| Mexico Coahuila Rural | | 0.0963 | | 216 | See | | |
|
| Guatemala, Guatemala City Mixed Ancestry | 15.8 | 0.0945 | | 127 | See | | |
|
| Mexico Oaxaca Rural | | 0.0945 | | 485 | See | | |
|
| Mexico Quintana Roo, Cancun | | 0.0938 | | 48 | See | | |
|
| Mexico Nuevo Leon, Monterrey city | | 0.0929 | | 226 | See | | |
|
| Mexico Guanajuato, Leon | | 0.0897 | | 78 | See | | |
|
| Mexico Jalisco, Tlaquepaque | | 0.0897 | | 39 | See | | |
|
| Mexico Queretaro, Queretaro city | | 0.0889 | | 45 | See | | |
|
| Mexico Tamaulipas Rural | | 0.0873 | | 125 | See | | |
|
| Mexico Baja California, La Paz | | 0.0867 | | 75 | See | | |
|
| Mexico Chihuahua Rural | | 0.0858 | | 236 | See | | |
|
| Mexico Hidalgo, Pachuca | | 0.0854 | | 41 | See | | |
|
| Mexico Tabasco, Villahermosa | | 0.0854 | | 82 | See | | |
|
| Mexico Guerrero state | | 0.0833 | | 144 | See | | |
|
| Ecuador Mixed Ancestry | | 0.0831 | | 1173 | See | | |
|
| Mexico Veracruz, Xalapa | | 0.0829 | | 187 | See | | |
|
| Mexico Coahuila, Saltillo | | 0.0822 | | 72 | See | | |
|
| Mexico Yucatan Rural | | 0.0821 | | 132 | See | | |
|
| Ecuador Andes Mixed Ancestry | | 0.0819 | | 824 | See | | |
|
| Burkina Faso Fulani | | 0.0800 | | 49 | See | | | |
| Mexico Puebla, Puebla city | | 0.0782 | | 1994 | See | | |
|
| Sudan Khartoum | | 0.0765 | | 98 | See | | |
|
| Mexico Mexico City Metropolitan Area Rural | | 0.0757 | | 150 | See | | |
|
| Mexico Yucatan, Merida | | 0.0744 | | 192 | See | | |
|
| Mexico Tabasco Rural | | 0.0739 | | 142 | See | | |
|
| Iraq Arabs | 14.8 | 0.0738 | | 149 | See | | |
|
| Mexico Mexico City West | | 0.0735 | | 33 | See | | |
|
| Mexico Puebla Rural | | 0.0731 | | 833 | See | | |
|
| Mexico Jalisco, Tonala | | 0.0714 | | 35 | See | | |
|
| Morocco pop 2 | | 0.0690 | | 110 | See | | | |
| Mexico Tlaxcala Rural | | 0.0675 | | 830 | See | | |
|
| Mexico Morelos, Cuernavaca | | 0.0610 | | 82 | See | | |
|
| Mexico Mexico City North | | 0.0578 | | 751 | See | | |
|
| Mexico Chihuahua, Ciudad Juarez | | 0.0556 | | 106 | See | | |
|
| Mexico Hidalgo Rural | | 0.0556 | | 81 | See | | |
|
| Mexico Veracruz, Cordoba | | 0.0536 | | 56 | See | | |
|
| Mexico Jalisco, Tlajomulco | | 0.0500 | | 30 | See | | |
|
| Mexico Tlaxcala, Tlaxcala city | | 0.0497 | | 181 | See | | |
|
| Mexico Mexico City South | | 0.0481 | | 52 | See | | |
|
| Mexico Oaxaca, Oaxaca city | | 0.0464 | | 151 | See | | |
|
| Brazil Guarani Nandeva | | 0.0350 | | 86 | See | | | |
| Ecuador Amazonia Mixed Ancestry | | 0.0256 | | 39 | See | | |
|
| Colombia Antioquia Paisa | | 0.0250 | | 100 | See | | | |
| Argentina Salta Wichi pop 2 | 0.0 | 0.0000 | | 19 | See | | | |
| Mexico Huasteca Region Teenek | | 0.0000 | | 55 | See | | | |
| Mexico Campeche, Campeche city | | 0.0000 | | 34 | 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)
* Phenotype Frequency: Percentage of individuals who have the allele or gene (Individuals / n).
were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
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.