Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
| South Africa Limpopo Venda | | 0.4370 | | 117 | See | | | |
| Tanzania Dodoma Kongwa | | 0.4200 | | 212 | See | | | |
| Sudan Khartoum | | 0.4184 | | 98 | See | | |
|
| Trinidad South Asian | | 0.3700 | | 87 | See | | | |
| India Bikaner Non-Raikas | 58.0 | 0.3520 | | 127 | See | | | |
| Russia North Ossetian | 54.3 | 0.3425 | | 127 | See | | |
|
| Pakistan Burusho | | 0.3280 | | 92 | See | | | |
| Colombia Antioquia Paisa | | 0.3230 | | 100 | See | | | |
| Sudan Mixed | 60.5 | 0.3180 | | 200 | See | | | |
| China Shandong Province Linqu County | 53.2 | 0.3158 | | 139 | See | | | |
| Sri Lanka Colombo Sinhalese | | 0.3080 | | 101 | See | | | |
| Norway ethnic Norwegians | 51.2 | 0.3034 | | 4510 | See | | |
|
| USA Southeast African American | 37.5 | 0.2950 | | 112 | See | | | |
| Russia Northwest pop 2 | 50.0 | 0.2930 | | 346 | See | | | |
| Burkina Faso Mossi | | 0.2900 | | 53 | See | | | |
| India Bikaner Raikas | 48.5 | 0.2820 | | 143 | See | | | |
| Norway pop 2 | | 0.2820 | | 576 | See | | | |
| France West Breton | | 0.2800 | | 150 | See | | | |
| Russia Northwest | 50.0 | 0.2740 | | 1011 | See | | | |
| United Kingdom Orkney | | 0.2733 | | 88 | See | | | |
| Pakistan Mixed Pathan | | 0.2700 | | 100 | See | | | |
| Saudi Arabia pop 2 | | 0.2690 | | 383 | See | | | |
| Sweden pop 4 | 47.5 | 0.2676 | | 966 | See | | | |
| Spain Minorca | | 0.2650 | | 94 | See | | | |
| Morocco pop 2 | | 0.2640 | | 110 | See | | | |
| Iraq Arabs | 45.0 | 0.2617 | | 149 | See | | |
|
| Trinidad African | | 0.2600 | | 67 | See | | | |
| United Kingdom Central | | 0.2594 | | 135 | See | | | |
| United Kingdom North | | 0.2531 | | 330 | See | | | |
| India New Delhi pop 2 | | 0.2500 | | 102 | See | | | |
| Brazil Sao Paulo Mixed | 47.3 | 0.2500 | | 239 | See | | | |
| Venezuela Zulia San Jose de Heras Mixed | | 0.2500 | | 20 | See | | | |
| Russia Northwest pop 3 | 45.0 | 0.2500 | | 100 | See | | | |
| Belgium | 47.5 | 0.2480 | | 99 | See | | | |
| France Southeast | 43.1 | 0.2460 | | 130 | See | | | |
| Saudi Arabia pop 4 | 40.5 | 0.2456 | | 499 | See | | | |
| India North Gujarat | 42.4 | 0.2424 | | 338 | See | | | |
| England | 42.6 | 0.2423 | | 537 | See | | | |
| Turkey pop 3 | | 0.2400 | | 50 | See | | | |
| Norway Sami | | 0.2380 | | 200 | See | | | |
| Mexico Baja California, La Paz | | 0.2333 | | 75 | See | | |
|
| Wales pop 2 | 41.0 | 0.2320 | | 39979 | See | | | |
| United Kingdom South West | | 0.2250 | | 163 | See | | | |
| Mexico Sinaloa Mestizo | | 0.2230 | | 56 | See | | | |
| Russia Moscow | | 0.2220 | | 2650 | See | | | |
| Burkina Faso Rimaibe | | 0.2200 | | 47 | See | | | |
| United Kingdom East | | 0.2134 | | 163 | See | | | |
| Portugal North pop 2 | | 0.2131 | | 1801 | See | | | |
| Spain, Castilla y Leon, Northwest, | 37.1 | 0.2124 | | 1743 | See | | |
|
| Albanian Kosovo | | 0.2083 | | 120 | See | | | |
| Serbia Vojvodina | 36.7 | 0.2080 | | 400 | See | | | |
| United Kingdom pop 2 | | 0.2050 | | 101 | See | | | |
| Spain Valencia | 36.2 | 0.2012 | | 577 | See | | | |
| Croatia pop 3 | 40.0 | 0.2000 | | 120 | See | | | |
| Albania | | 0.1930 | | 160 | See | | | |
| Cuba Mixed | | 0.1920 | | 78 | See | | | |
| Pakistan Kalash | | 0.1880 | | 69 | See | | | |
| Albania pop 2 | 35.0 | 0.1850 | | 432 | See | | | |
| Croatia pop 2 | | 0.1840 | | 100 | See | | | |
| Spain Majorca | | 0.1830 | | 407 | See | | | |
| Mexico Chihuahua Rural | | 0.1820 | | 236 | See | | |
|
| Spain Majorcans Jews | | 0.1800 | | 103 | See | | | |
| Brazil North East Mixed | | 0.1800 | | 205 | See | | | |
| Romania pop 2 | | 0.1800 | | 6936 | See | | | |
| Russia Transbaikal Territory Buryats | 33.0 | 0.1770 | | 150 | See | | |
|
| Pakistan Mixed Sindhi | | 0.1770 | | 101 | See | | | |
| Malaysia pop 2 | | 0.1720 | | 62 | See | | | |
| Burkina Faso Fulani | | 0.1700 | | 49 | See | | | |
| Mexico Sinaloa, Culiacán | | 0.1699 | | 103 | See | | |
|
| Venezuela Valencia and Maracaibo Caracus Mixed | | 0.1670 | | 96 | See | | | |
| Iraq Kurdistan Region | 30.1 | 0.1670 | | 209 | See | | | |
| Guatemala, Guatemala City Mixed Ancestry | 29.9 | 0.1654 | | 127 | See | | |
|
| Iran pop 3 | | 0.1650 | | 100 | See | | | |
| Mexico Sonora Rural | | 0.1624 | | 197 | See | | |
|
| Mexico Tapachula, Chiapas Mestizo Population | 30.6 | 0.1597 | | 72 | See | | |
|
| Romania pop 3 | 29.2 | 0.1587 | | 1469 | See | | | |
| Pakistan Karachi Parsi | | 0.1550 | | 91 | See | | | |
| Italy pop 4 | 28.6 | 0.1550 | | 4575 | See | | | |
| Iraq Erbil | 29.3 | 0.1519 | | 372 | See | | |
|
| Mexico Veracruz, Coatzacoalcos | | 0.1518 | | 55 | See | | |
|
| Mexico Tamaulipas Rural | | 0.1508 | | 125 | See | | |
|
| Mexico Baja Californa, Mexicali | | 0.1500 | | 100 | See | | |
|
| Mexico Jalisco Rural | | 0.1459 | | 585 | See | | |
|
| Serbia pop 3 | 27.0 | 0.1447 | | 1992 | See | | | |
| Spain Ibiza | | 0.1440 | | 88 | See | | | |
| China Inner Mongolia Region Ewenki | | 0.1430 | | 94 | See | | | |
| Mexico Zacatecas, Zacatecas city | | 0.1429 | | 84 | See | | |
|
| Mexico Jalisco, Tonala | | 0.1429 | | 35 | See | | |
|
| Mexico Sinaloa Rural | | 0.1421 | | 183 | See | | |
|
| Pakistan Baloch | | 0.1420 | | 66 | See | | | |
| Mexico Sonora, Hermosillo | | 0.1414 | | 99 | See | | |
|
| Mexico Jalisco, Tlaquepaque | | 0.1410 | | 39 | See | | |
|
| Vietnam Hanoi | | 0.1400 | | 50 | See | | | |
| Mexico Tabasco, Villahermosa | | 0.1341 | | 82 | See | | |
|
| Mexico Nuevo Leon, Monterrey city | | 0.1327 | | 226 | See | | |
|
| Mexico Chiapas, Tuxtla Gutierrez | | 0.1321 | | 52 | See | | |
|
| Mexico Durango Rural | | 0.1315 | | 326 | See | | |
|
| Mexico Coahuila Rural | | 0.1307 | | 216 | See | | |
|
| Mexico Chihuahua Chihuahua City | | 0.1303 | | 119 | See | | |
|
| Mexico Chihuahua, Ciudad Juarez | | 0.1296 | | 106 | See | | |
|
| Mexico Sonora, Ciudad Obregón | | 0.1294 | | 143 | See | | |
|
| Malaysia Perak and Johor Banjar Bugis Jawa | | 0.1280 | | 94 | See | | | |
| Mexico Mexico City Center | | 0.1266 | | 152 | See | | |
|
| Mexico Michoacan Rural | | 0.1261 | | 348 | See | | |
|
| Mexico Nayarit Rural | | 0.1250 | | 64 | See | | |
|
| Mexico Jalisco, Zapopan | | 0.1250 | | 168 | See | | |
|
| Mexico Jalisco, Guadalajara city | | 0.1198 | | 1189 | See | | |
|
| Ecuador Coast Mixed Ancestry | | 0.1176 | | 238 | See | | |
|
| Mexico Zacatecas Rural | | 0.1171 | | 266 | See | | |
|
| Mexico Jalisco, Tlajomulco | | 0.1167 | | 30 | See | | |
|
| Mexico Guanajuato, Guanajuato city | | 0.1136 | | 22 | See | | |
|
| Mexico Coahuila, Saltillo | | 0.1096 | | 72 | See | | |
|
| Mexico Guanajuato, Leon | | 0.1090 | | 78 | See | | |
|
| Mexico Mexico City Mestizo | | 0.1070 | | 121 | See | | | |
| Mexico Campeche Rural | | 0.1064 | | 47 | See | | |
|
| Mexico Coahuila, Torreon | | 0.1063 | | 396 | See | | |
|
| Mexico Tabasco Rural | | 0.1056 | | 142 | See | | |
|
| Mexico Aguascalientes state | | 0.1053 | | 95 | See | | | |
| Mexico Veracruz, Xalapa | | 0.1043 | | 187 | See | | |
|
| Ecuador Amazonia Mixed Ancestry | | 0.1026 | | 39 | See | | |
|
| Malaysia Negeri Sembilan Minangkabau | | 0.1000 | | 34 | See | | | |
| Mexico Durango, Durango city | | 0.1000 | | 153 | See | | |
|
| Venezuela Zulia Maracaibo Mixed | | 0.1000 | | 20 | See | | | |
| Mexico Nuevo Leon Rural | | 0.0989 | | 439 | See | | |
|
| Mexico Veracruz, Cordoba | | 0.0982 | | 56 | See | | |
|
| Mexico Yucatan Rural | | 0.0970 | | 132 | See | | |
|
| Ecuador Mixed Ancestry | | 0.0955 | | 1173 | See | | |
|
| Mexico Zacatecas, Fresnillo | | 0.0952 | | 103 | See | | |
|
| Mexico Queretaro Rural | | 0.0930 | | 43 | See | | |
|
| Mexico Nayarit, Tepic | | 0.0928 | | 97 | See | | |
|
| Mexico Oaxaca, Oaxaca city | | 0.0927 | | 151 | See | | |
|
| Mexico Hidalgo Rural | | 0.0926 | | 81 | See | | |
|
| Mexico Guanajuato Rural | | 0.0920 | | 162 | See | | |
|
| Mexico Veracruz, Orizaba | | 0.0917 | | 60 | See | | |
|
| Mexico Puebla Mestizo | | 0.0910 | | 99 | See | | | |
| Mexico Guerrero state | | 0.0903 | | 144 | See | | |
|
| Mexico Colima, Colima city | | 0.0902 | | 61 | See | | |
|
| Mexico Veracruz, Veracruz city | | 0.0901 | | 171 | See | | |
|
| Mexico Baja California Rural | | 0.0900 | | 50 | See | | |
|
| Mexico Veracruz Rural | | 0.0896 | | 539 | See | | |
|
| Mexico Michoacan, Morelia | | 0.0894 | | 150 | See | | |
|
| Mexico Queretaro, Queretaro city | | 0.0889 | | 45 | See | | |
|
| Mexico Campeche, Campeche city | | 0.0882 | | 34 | See | | |
|
| Myanmar Bamar | 17.4 | 0.0870 | | 46 | See | | |
|
| Mexico Tamaulipas, Ciudad Victoria | | 0.0870 | | 23 | See | | |
|
| Ecuador Andes Mixed Ancestry | | 0.0868 | | 824 | See | | |
|
| Mexico Mexico City Metropolitan Area Rural | | 0.0822 | | 150 | See | | |
|
| Mexico San Luis Potosi Rural | | 0.0805 | | 87 | See | | |
|
| Mexico Puebla Rural | | 0.0761 | | 833 | See | | |
|
| Mexico Mexico City East | | 0.0750 | | 79 | See | | |
|
| Mexico Chiapas Rural | | 0.0744 | | 121 | See | | |
|
| Mexico Tlaxcala, Tlaxcala city | | 0.0718 | | 181 | See | | |
|
| Pakistan Brahui | | 0.0700 | | 104 | See | | | |
| Turkey Ankara | | 0.0700 | | 50 | See | | | |
| Mexico Colima Rural | | 0.0682 | | 43 | See | | |
|
| Mexico Mexico City South | | 0.0673 | | 52 | See | | |
|
| Mexico Yucatan, Merida | | 0.0667 | | 192 | See | | |
|
| Mexico Puebla, Puebla city | | 0.0656 | | 1994 | See | | |
|
| Mexico Tlaxcala Rural | | 0.0639 | | 830 | See | | |
|
| Mexico Mexico City North | | 0.0624 | | 751 | See | | |
|
| Mexico Baja California, Tijuana | | 0.0600 | | 25 | See | | |
|
| Mexico Mexico City West | | 0.0588 | | 33 | See | | |
|
| Peru Quechua | | 0.0570 | | 44 | See | | | |
| Mexico Oaxaca Rural | | 0.0544 | | 485 | See | | |
|
| Mexico Veracruz, Poza Rica | | 0.0444 | | 45 | See | | |
|
| Malaysia Perak Rawa | | 0.0400 | | 23 | See | | | |
| Mexico Quintana Roo Rural | | 0.0400 | | 50 | See | | |
|
| Mexico Hidalgo, Pachuca | | 0.0366 | | 41 | See | | |
|
| Mexico San Luis Potosi, San Luis Potosi city | | 0.0333 | | 30 | See | | |
|
| Mexico Quintana Roo, Cancun | | 0.0313 | | 48 | See | | |
|
| Mexico Morelos, Cuernavaca | | 0.0305 | | 82 | See | | |
|
| Croatia Krk Island Dubasnica | | 0.0240 | | 23 | See | | | |
| Georgia Kurds | | 0.0170 | | 30 | See | | |
|
| Finland | | 0.0140 | | 91 | See | | | |
| Brazil Guarani Nandeva | | 0.0060 | | 86 | See | | | |
| Chile Santiago Mixed | 1.0 | 0.0050 | | 70 | See | | | |
| Argentina Salta Wichi pop 2 | 0.0 | 0.0000 | | 19 | See | | | |
| Mexico Huasteca Region Teenek | | 0.0000 | | 55 | See | | | |
| Mexico Morelos Rural | | 0.0000 | | 30 | See | | |
|
| Paraguay Aché | | 0.0000 | | 87 | 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.