Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
| Morocco Settat Chaouya | 39.4 | 0.1970 | | 98 | See | | | |
| Morocco Atlantic Coast Chaouya | | 0.1970 | | 98 | See | | | |
| Russia Bashkortostan, Bashkirs | 35.0 | 0.1875 | | 120 | See | | |
|
| Spain Malaga | 32.5 | 0.1784 | | 160 | See | | | |
| Spain Andalusia | | 0.1770 | | 99 | See | | | |
| Spain Granada | | 0.1760 | | 280 | See | | | |
| Tunisia | 32.0 | 0.1750 | | 100 | See | | | |
| Azores Terceira Island | | 0.1750 | | 130 | See | | | |
| Spain Murcia | | 0.1750 | | 173 | See | | | |
| Tunisia Ghannouch | | 0.1700 | | 82 | See | | | |
| Portugal Azores Terceira Island | 31.6 | 0.1667 | | 130 | See | | |
|
| Tunisia Gabes | | 0.1631 | | 95 | See | | | |
| Jordan Amman | | 0.1590 | | 146 | See | | | |
| Saudi Arabia Guraiat and Hail | 24.8 | 0.1560 | | 213 | See | | | |
| India East UCBB | 27.9 | 0.1521 | | 2403 | See | | |
|
| USA Philadelphia Caucasian | 25.5 | 0.1520 | | 141 | See | | | |
| Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 27.2 | 0.1481 | | 4335 | See | | |
|
| Russia, South Ural, Chelyabinsk region, Nagaybaks | 29.5 | 0.1470 | | 112 | See | | |
|
| United Arab Emirates Abu Dhabi | | 0.1442 | | 52 | See | | |
|
| Saudi Arabia pop 5 | 24.7 | 0.1424 | | 158 | See | | | |
| USA African American pop 7 | | 0.1400 | | 193 | See | | | |
| Gambia pop 3 | 25.0 | 0.1370 | | 939 | See | | |
|
| Spain Valencia | 25.5 | 0.1368 | | 577 | See | | | |
| Spain Las Alpujarras | | 0.1294 | | 85 | See | | |
|
| Brazil Southeast Caucasian | 25.2 | 0.1260 | | 103 | See | | | |
| Russia Bashkortostan, Tatars | 22.9 | 0.1250 | | 192 | See | | |
|
| India North UCBB | 22.9 | 0.1238 | | 5849 | See | | |
|
| India Mumbai Maratha | | 0.1200 | | 91 | See | | | |
| Brazil Paraná Caucasian | 22.6 | 0.1193 | | 641 | See | | |
|
| Mongolia Tsaatan | | 0.1180 | | 144 | See | | | |
| Switzerland Graubunden | | 0.1156 | | 759 | See | | | |
| USA San Antonio Caucasian | | 0.1149 | | 222 | See | | | |
| Switzerland Luzern | | 0.1141 | | 1553 | See | | | |
| Italy North pop 3 | 22.7 | 0.1140 | | 97 | See | | | |
| Brazil South Caucasian | | 0.1096 | | 73 | See | | | |
| Switzerland Bern | | 0.1093 | | 3545 | See | | | |
| Mexico Mestizo pop 4 | | 0.1081 | | 269 | See | | | |
| Czech Republic NMDR | | 0.1078 | | 5099 | See | | | |
| Brazil Southeast Mixed Race | 21.4 | 0.1070 | | 42 | See | | | |
| India Central UCBB | 21.2 | 0.1062 | | 4204 | See | | |
|
| Sri Lanka Colombo | 20.2 | 0.1050 | | 714 | See | | |
|
| USA San Diego | 19.7 | 0.1050 | | 496 | See | | |
|
| India West UCBB | 21.0 | 0.1050 | | 5829 | See | | |
|
| Russia Belgorod region | 19.6 | 0.1013 | | 153 | See | | |
|
| USA Caucasian pop 5 | | 0.1010 | | 268 | See | | | |
| Tunisia pop 3 | | 0.1010 | | 104 | See | | | |
| Ireland South | 17.6 | 0.0980 | | 250 | See | | | |
| Austria | 17.5 | 0.0980 | | 200 | See | | | |
| Switzerland Aargau-Solothurn | | 0.0969 | | 1838 | See | | | |
| India Northeast UCBB | 19.3 | 0.0963 | | 296 | See | | |
|
| Russia Nizhny Novgorod, Russians | 18.6 | 0.0960 | | 1510 | See | | |
|
| Switzerland St Gallen | | 0.0952 | | 2113 | See | | | |
| South Africa Worcester | 17.0 | 0.0950 | | 159 | See | | |
|
| Croatia Gorski Kotar Region | | 0.0950 | | 63 | See | | | |
| Italy Bergamo | 18.8 | 0.0950 | | 101 | See | | | |
| Panama | | 0.0945 | | 462 | See | | |
|
| Switzerland Zurich | | 0.0938 | | 4875 | See | | | |
| Poland | | 0.0930 | | 200 | See | | | |
| Netherlands | 17.5 | 0.0917 | | 447 | See | | | |
| Mexico Chihuahua Chihuahua City Pop 2 | 18.2 | 0.0909 | | 88 | See | | |
|
| USA San Francisco Caucasian | | 0.0890 | | 220 | See | | | |
| France West | 17.0 | 0.0889 | | 100 | See | | | |
| India South UCBB | 17.6 | 0.0882 | | 11446 | See | | |
|
| Mexico Mexico City Mestizo population | | 0.0874 | | 143 | See | | |
|
| Switzerland Geneva pop 2 | | 0.0866 | | 1267 | See | | | |
| Czech Republic pop 3 | 16.7 | 0.0860 | | 180 | See | | |
|
| Switzerland Basel | | 0.0852 | | 1888 | See | | | |
| Switzerland Lausanne | | 0.0824 | | 993 | See | | | |
| Nicaragua Managua | 15.4 | 0.0811 | | 339 | See | | |
|
| USA Minnesota Olmsted | | 0.0810 | | 339 | See | | | |
| Spain Andalusia Romani | | 0.0800 | | 99 | See | | | |
| Switzerland Sion | | 0.0800 | | 832 | See | | | |
| Russia Karelia | | 0.0800 | | 1075 | See | | |
|
| Belgium pop 2 | 15.1 | 0.0780 | | 715 | See | | | |
| Italy pop 5 | | 0.0770 | | 975 | See | | | |
| Kosovo | 12.9 | 0.0766 | | 124 | See | | |
|
| Kenya, Nyanza Province, Luo tribe | 15.0 | 0.0750 | | 100 | See | | |
|
| Italy Rome | 15.0 | 0.0750 | | 100 | See | | | |
| Malaysia Peninsular Malay | 13.3 | 0.0726 | | 951 | See | | |
|
| Netherlands Leiden | | 0.0720 | | 1305 | See | | | |
| Cameroon | | 0.0710 | | 126 | See | | | |
| Switzerland Lugano | | 0.0692 | | 1169 | See | | | |
| USA South Texas Hispanic | | 0.0690 | | 194 | See | | | |
| China Inner Mongolia Autonomous Region Northeast | 12.9 | 0.0680 | | 496 | See | | | |
| Colombia North Wiwa El Encanto | | 0.0673 | | 52 | See | | |
|
| Thailand | | 0.0670 | | 142 | See | | | |
| Mongolia Oold | | 0.0670 | | 104 | See | | | |
| Malaysia Peninsular Indian | 12.5 | 0.0664 | | 271 | See | | |
|
| China Marrow Donor Registry | | 0.0650 | | 600 | See | | | |
| South Korea pop 2 | 12.1 | 0.0650 | | 207 | See | | | |
| Taiwan pop 2 | | 0.0650 | | 364 | See | | | |
| Cretan Islanders | | 0.0645 | | 124 | See | | |
|
| Brazil Puyanawa | 12.7 | 0.0630 | | 150 | See | | |
|
| Tanzania Maasai | 11.6 | 0.0627 | | 336 | See | | |
|
| Netherlands UMCU | 10.9 | 0.0625 | | 64 | See | | | |
| Greece pop 6 | | 0.0620 | | 242 | See | | | |
| Mongolia Khalkha | | 0.0600 | | 200 | See | | | |
| Mexico Mexico City Mestizo pop 2 | | 0.0598 | | 234 | See | | | |
| Greece pop2 | 11.3 | 0.0580 | | 120 | See | | | |
| USA South Dakota Lakota Sioux | | 0.0570 | | 302 | See | | | |
| China Hubei Han | 11.2 | 0.0557 | | 3732 | See | | |
|
| Mexico Mexico City Tlalpan | 10.9 | 0.0545 | | 330 | See | | |
|
| Greece pop 8 | 10.8 | 0.0542 | | 83 | See | | | |
| South Korea pop 1 | | 0.0540 | | 324 | See | | | |
| France Southeast | 10.0 | 0.0510 | | 130 | See | | | |
| USA Southern California Mestizo | 9.6 | 0.0492 | | 73 | See | | | |
| China Zhejiang Han pop 2 | | 0.0456 | | 833 | See | | |
|
| Greece pop 5 | | 0.0450 | | 500 | See | | | |
| Vietnam Kinh DQB1 | 7.9 | 0.0421 | | 2076 | See | | |
|
| Hong Kong Chinese HKBMDR. DQ and DP | 7.5 | 0.0381 | | 1064 | See | | |
|
| Hong Kong Chinese HKBMDR HLA 11 loci | 7.0 | 0.0357 | | 5266 | See | | |
|
| Chile Santiago Mixed | 7.0 | 0.0356 | | 70 | See | | | |
| Mexico Tixcacaltuyub Maya | | 0.0299 | | 67 | See | | |
|
| Russian Federation Vologda Region | 5.0 | 0.0294 | | 119 | See | | |
|
| Finland | | 0.0290 | | 91 | See | | | |
| Sweden Southern Sami | | 0.0260 | | 130 | See | | | |
| Taiwan Han Chinese | | 0.0240 | | 504 | See | | | |
| Malaysia Peninsular Chinese | 4.6 | 0.0232 | | 194 | See | | |
|
| India Delhi | 4.5 | 0.0227 | | 112 | See | | | |
| Mexico Hidalgo Mezquital Valley/ Otomi | 4.2 | 0.0208 | | 72 | See | | | |
| Ecuadorean Amerindians | | 0.0200 | | 75 | See | | |
|
| Italy Central | | 0.0190 | | 380 | See | | | |
| New Zealand Maori | | 0.0180 | | 200 | See | | | |
| Mexico Veracruz Xalapa | 3.6 | 0.0179 | | 84 | See | | |
|
| Congo Kinshasa Bantu | 2.2 | 0.0170 | | 90 | See | | | |
| Mexico Mexico City Mestizo pop 3 | | 0.0140 | | 256 | See | | | |
| Spain Tenerife Island | | 0.0140 | | 83 | See | | |
|
| Macedonia pop 2 | | 0.0120 | | 80 | See | | | |
| Ecuador African pop2 | | 0.0111 | | 45 | See | | | |
| Colombia North Chimila Amerindians | | 0.0106 | | 47 | See | | |
|
| Slovenia | 2.0 | 0.0100 | | 100 | See | | | |
| Iran Saqqez-Baneh Kurds | | 0.0083 | | 60 | See | | |
|
| Iran Kurd pop 2 | | 0.0080 | | 60 | See | | |
|
| Mexico Chiapas Lacandon Mayans | | 0.0069 | | 218 | See | | |
|
| Germany Essen | 1.2 | 0.0060 | | 174 | See | | | |
| Japan Central | | 0.0030 | | 371 | See | | | |
| Sweden Northern Sami | | 0.0030 | | 154 | See | | | |
| United Arab Emirates Pop 1 | | 0.0030 | | 570 | See | | |
|
| Japan pop 17 | | 0.0026 | | 3078 | See | | | |
| Rwanda | | 0.0020 | | 280 | See | | | |
| Rwanda Kigali Hutu and Tutsi | | 0.0020 | | 281 | See | | | |
| Belgium | 0.2 | 0.0009 | | 31412 | See | | |
|
| Samoa | | 0.0000 | | 29 | See | | | |
| Papua New Guinea Lowland Wosera | | 0.0000 | | 79 | See | | | |
| Mexico Highlands Mestizos | 0.0 | 0.0000 | | 160 | See | | | |
| Mexico Nuevo Leon Mestizo | 0.0 | 0.0000 | | 40 | See | | | |
| South Korea pop 3 | | 0.0000 | | 485 | See | | | |
| Russia Siberia Negidal | | 0.0000 | | 35 | See | | | |
| Spain Malaga Romani | 0.0 | 0.0000 | | 80 | See | | | |
| USA Alaska Yupik | | 0.0000 | | 252 | See | | | |
| Russia Nenet Mixed | | 0.0000 | | 55 | See | | | |
| Russia Arkhangelsk Pomor | | 0.0000 | | 63 | See | | | |
| Russia Murmansk Saomi Mixed | | 0.0000 | | 70 | 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.