Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
| Ivory Coast Adiopodoume Akan | | 0.0460 | | 44 | See | | | |
| Mexico Chiapas, Tuxtla Gutierrez | | 0.0377 | | 52 | See | | |
|
| Cameroon Bamileke | | 0.0320 | | 77 | See | | | |
| Mexico Sinaloa Mestizo | | 0.0270 | | 56 | See | | | |
| Ghana Ga-Adangbe | 5.3 | 0.0267 | | 131 | See | | | |
| Ghana Accre Asutuare Akan | | 0.0210 | | 429 | See | | | |
| USA NMDP Caribean Black | | 0.0205 | | 33328 | See | | | |
| USA African American pop 8 | | 0.0200 | | 605 | See | | | |
| Mexico Mexico City South | | 0.0192 | | 52 | See | | |
|
| USA African American pop 3 | | 0.0190 | | 564 | See | | | |
| USA NMDP African American pop 2 | | 0.0180 | | 416581 | See | | | |
| USA NMDP African | | 0.0179 | | 28557 | See | | | |
| USA African American pop 4 | | 0.0166 | | 2411 | See | | | |
| Italy South Campania Region | 3.2 | 0.0161 | | 1089 | See | | | |
| USA African American Bethesda | 3.2 | 0.0160 | | 187 | See | | | |
| USA NMDP Caribean Indian | | 0.0150 | | 14339 | See | | | |
| United Arab Emirates pop 2 | 2.9 | 0.0150 | | 373 | See | | | |
| Mexico Jalisco, Tonala | | 0.0143 | | 35 | See | | |
|
| Brazil Mixed | | 0.0140 | | 108 | See | | | |
| Azores Oriental Islands | | 0.0130 | | 43 | See | | | |
| Zimbabwe Harare Shona | | 0.0130 | | 230 | See | | | |
| Mexico Jalisco, Tlaquepaque | | 0.0128 | | 39 | See | | |
|
| Mexico Sonora Rural | | 0.0127 | | 197 | See | | |
|
| Gaza | 2.4 | 0.0119 | | 42 | See | | |
|
| Mali Bandiagara | | 0.0110 | | 138 | See | | | |
| Tunisia pop 3 | | 0.0110 | | 104 | See | | | |
| Cameroon Beti | | 0.0110 | | 174 | See | | | |
| Cameroon Yaounde | | 0.0110 | | 92 | See | | | |
| USA NMDP Caribean Hispanic | | 0.0108 | | 115374 | See | | | |
| Mexico Sonora, Hermosillo | | 0.0101 | | 99 | See | | |
|
| Kenya Nandi | | 0.0100 | | 240 | See | | | |
| USA African American | | 0.0100 | | 252 | See | | | |
| United Arab Emirates Abu Dhabi | | 0.0096 | | 52 | See | | |
|
| Mexico Chihuahua, Ciudad Juarez | | 0.0093 | | 106 | See | | |
|
| Mexico Guanajuato Rural | | 0.0092 | | 162 | See | | |
|
| Mexico Colima, Colima city | | 0.0082 | | 61 | See | | |
|
| Cape Verde Southeastern Islands | | 0.0080 | | 62 | See | | | |
| Mexico Tamaulipas Rural | | 0.0079 | | 125 | See | | |
|
| Mexico Mexico City Mestizo population | | 0.0070 | | 143 | See | | |
|
| Kenya | | 0.0070 | | 144 | See | | | |
| Mexico Oaxaca, Oaxaca city | | 0.0066 | | 151 | See | | |
|
| Panama | | 0.0066 | | 462 | See | | |
|
| Mexico Mexico City Center | | 0.0065 | | 152 | See | | |
|
| Mexico Guanajuato, Leon | | 0.0064 | | 78 | See | | |
|
| Mexico Morelos, Cuernavaca | | 0.0061 | | 82 | See | | |
|
| Nicaragua Managua | 1.2 | 0.0060 | | 339 | See | | |
|
| Uganda Kampala | | 0.0060 | | 161 | See | | | |
| Tunisia Gabes | | 0.0052 | | 95 | See | | | |
| Sudan Mixed | 0.5 | 0.0050 | | 200 | See | | | |
| Tunisia | 1.0 | 0.0050 | | 100 | See | | | |
| USA San Diego | 1.0 | 0.0050 | | 496 | See | | |
|
| South Africa Natal Zulu | 1.0 | 0.0050 | | 100 | See | | | |
| South Africa Caucasians | | 0.0050 | | 102 | See | | | |
| Mexico Baja Californa, Mexicali | | 0.0050 | | 100 | See | | |
|
| Kenya, Nyanza Province, Luo tribe | 1.0 | 0.0050 | | 100 | See | | |
|
| Mexico Puebla Mestizo | | 0.0050 | | 99 | See | | | |
| Brazil Belo Horizonte Caucasian | 1.1 | 0.0050 | | 95 | See | | | |
| Switzerland Luzern | | 0.0049 | | 1553 | See | | | |
| Mexico Sinaloa, Culiacán | | 0.0049 | | 103 | See | | |
|
| Mexico Zacatecas, Fresnillo | | 0.0048 | | 103 | See | | |
|
| Mexico Durango Rural | | 0.0046 | | 326 | See | | |
|
| Mexico Coahuila Rural | | 0.0046 | | 216 | See | | |
|
| USA Hispanic pop 2 | | 0.0045 | | 1999 | See | | | |
| Mexico Chihuahua Chihuahua City | | 0.0042 | | 119 | See | | |
|
| Mexico Mexico City Mestizo | | 0.0040 | | 121 | See | | | |
| Kenya Luo | | 0.0040 | | 265 | See | | | |
| USA Spain Ancestry | | 0.0040 | | 279 | See | | | |
| Oman | 0.9 | 0.0040 | | 118 | See | | | |
| Mexico Tabasco Rural | | 0.0035 | | 142 | See | | |
|
| Mexico Sonora, Ciudad Obregón | | 0.0035 | | 143 | See | | |
|
| USA NMDP Hispanic South or Central American | | 0.0031 | | 146714 | See | | | |
| USA Mexican American Mestizo | | 0.0030 | | 553 | See | | | |
| USA North American Native | | 0.0030 | | 187 | See | | | |
| Uganda Kampala pop 2 | | 0.0030 | | 175 | See | | | |
| Madeira | | 0.0030 | | 185 | See | | | |
| South Africa Worcester | 1.0 | 0.0030 | | 159 | See | | |
|
| Mexico Michoacan Rural | | 0.0029 | | 348 | See | | |
|
| Germany DKMS - Portugal minority | | 0.0030 | | 1176 | See | | | |
| Israel Arab pop 2 | | 0.0026 | | 12301 | See | | |
|
| Greece pop 6 | | 0.0024 | | 242 | See | | | |
| Mexico Nuevo Leon, Monterrey city | | 0.0022 | | 226 | See | | |
|
| Mexico Mexico City Mestizo pop 2 | | 0.0021 | | 234 | See | | | |
| England North West | 0.3 | 0.0020 | | 298 | See | | | |
| Italy pop 5 | | 0.0020 | | 975 | See | | | |
| United Arab Emirates Pop 1 | | 0.0020 | | 570 | See | | |
|
| USA European American pop 2 | | 0.0020 | | 1245 | See | | | |
| USA Italy Ancestry | | 0.0020 | | 273 | See | | | |
| USA Hispanic | | 0.0020 | | 234 | See | | | |
| USA NMDP Mexican or Chicano | | 0.0019 | | 261235 | See | | | |
| USA Caucasian pop 4 | | 0.0019 | | 1070 | See | | | |
| Mexico Zacatecas Rural | | 0.0019 | | 266 | See | | |
|
| Switzerland Lausanne | | 0.0017 | | 993 | See | | | |
| Israel Poland Jews | | 0.0015 | | 13871 | See | | |
|
| Mexico Mexico City North | | 0.0013 | | 751 | See | | |
|
| Mexico Jalisco, Guadalajara city | | 0.0013 | | 1189 | See | | |
|
| Colombia Bogotá Cord Blood | 0.2 | 0.0010 | | 1463 | See | | | |
| USA Asian | | 0.0010 | | 358 | See | | | |
| USA NMDP American Indian South or Central America | | 0.0010 | | 5926 | See | | | |
| Saudi Arabia pop 6 (G) | | 0.0010 | | 28927 | See | | | |
| Israel Argentina Jews | | 0.0009 | | 4307 | See | | |
|
| Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.2 | 0.0009 | | 4335 | See | | |
|
| Germany DKMS - United Kingdom minority | | 0.0010 | | 1043 | See | | | |
| Mexico Veracruz Rural | | 0.0009 | | 539 | See | | |
|
| USA NMDP North American Amerindian | | 0.0009 | | 35791 | See | | | |
| Israel USSR Jews | | 0.0008 | | 45681 | See | | |
|
| USA NMDP Middle Eastern or North Coast of Africa | | 0.0007 | | 70890 | See | | | |
| Israel USA Jews | | 0.0007 | | 6058 | See | | |
|
| Israel Ashkenazi Jews pop 3 | | 0.0006 | | 4625 | See | | |
|
| Ecuador Andes Mixed Ancestry | | 0.0006 | | 824 | See | | |
|
| USA NMDP European Caucasian | | 0.0006 | | 1242890 | See | | | |
| Belgium | 0.1 | 0.0005 | | 31412 | See | | |
|
| USA NMDP Hawaiian or other Pacific Islander | | 0.0005 | | 11499 | See | | | |
| Mexico Puebla, Puebla city | | 0.0005 | | 1994 | See | | |
|
| Ecuador Mixed Ancestry | | 0.0004 | | 1173 | See | | |
|
| Germany DKMS - Spain minority | | 0.0005 | | 1107 | See | | | |
| Switzerland Bern | | 0.0004 | | 3545 | See | | | |
| Germany DKMS - Italy minority | | 0.0004 | | 1159 | See | | | |
| Israel YemenJews | | 0.0002 | | 15542 | See | | |
|
| Germany DKMS - German donors | | 0.0002 | | 3456066 | See | | |
|
| Germany pop 8 | | 0.0002 | | 39689 | See | | | |
| Czech Republic NMDR | | 0.0002 | | 5099 | See | | | |
| Germany pop 6 | | 0.0001 | | 8862 | See | | | |
| Poland DKMS | | 0.0001 | | 20653 | See | | | |
| Israel Ethiopia Jews | | 0.0001 | | 5928 | See | | |
|
| Israel Iraq Jews | | 0.0001 | | 13270 | See | | |
|
| Israel Morocco Jews | | 0.0001 | | 36718 | See | | |
|
| Israel Iran Jews | | 0.0001 | | 8153 | See | | |
|
| Israel Tunisia Jews | | 0.0001 | | 9070 | See | | |
|
| USA NMDP Vietnamese | | 0.0000 | | 43540 | See | | | |
| USA NMDP South Asian Indian | | 0.0000 | | 185391 | See | | | |
| USA NMDP Filipino | | 0.0000 | | 50614 | See | | | |
| USA NMDP Southeast Asian | | 0.0000 | | 27978 | See | | | |
| USA NMDP Chinese | | 0.0000 | | 99672 | See | | | |
| Singapore Chinese | 0.0 | 0.0000 | | 149 | See | | | |
| USA Asian pop 2 | | 0.0000 | | 1772 | See | | | |
| USA Philadelphia Caucasian | 0.0 | 0.0000 | | 141 | See | | | |
| USA Caucasian Bethesda | 0.0 | 0.0000 | | 307 | See | | | |
| Philippines Ivatan | 0.0 | 0.0000 | | 50 | See | | | |
| Ireland Northern | 0.0 | 0.0000 | | 1000 | See | | | |
| Netherlands Leiden | | 0.0000 | | 1305 | See | | | |
| Azores Central Islands | | 0.0000 | | 59 | See | | | |
| Romania | 0.0 | 0.0000 | | 348 | See | | | |
| USA San Antonio Caucasian | | 0.0000 | | 222 | See | | | |
| USA South Texas Hispanic | | 0.0000 | | 194 | See | | | |
| USA Alaska Yupik | | 0.0000 | | 252 | See | | | |
| USA Caucasian pop 2 | | 0.0000 | | 265 | See | | | |
| Taiwan Minnan pop 1 | 0.0 | 0.0000 | | 102 | See | | | |
| Taiwan Hakka | 0.0 | 0.0000 | | 55 | See | | | |
| Taiwan Atayal | 0.0 | 0.0000 | | 106 | See | | | |
| Taiwan Taroko | 0.0 | 0.0000 | | 55 | See | | | |
| Taiwan Saisiat | 0.0 | 0.0000 | | 51 | See | | | |
| Taiwan Bunun | 0.0 | 0.0000 | | 101 | See | | | |
| Taiwan Pazeh | 0.0 | 0.0000 | | 55 | See | | | |
| Taiwan Siraya | 0.0 | 0.0000 | | 51 | See | | | |
| Taiwan Thao | 0.0 | 0.0000 | | 30 | See | | | |
| Taiwan Tsou | 0.0 | 0.0000 | | 51 | See | | | |
| Taiwan Rukai | 0.0 | 0.0000 | | 50 | See | | | |
| Taiwan Paiwan | 0.0 | 0.0000 | | 51 | See | | | |
| Taiwan Ami | 0.0 | 0.0000 | | 98 | See | | | |
| Taiwan Puyuma | 0.0 | 0.0000 | | 50 | See | | | |
| Taiwan Tao | 0.0 | 0.0000 | | 50 | See | | | |
| Zambia Lusaka | | 0.0000 | | 44 | See | | | |
| Hong Kong Chinese | 0.0 | 0.0000 | | 569 | See | | | |
| Croatia | | 0.0000 | | 150 | See | | | |
| Ecuador Coast Mixed Ancestry | | 0.0000 | | 238 | See | | |
|
| Ecuador Amazonia Mixed Ancestry | | 0.0000 | | 39 | See | | |
|
| Guinea Bissau | | 0.0000 | | 65 | See | | | |
| South Korea pop 3 | | 0.0000 | | 485 | See | | | |
| Morocco Settat Chaouya | 0.0 | 0.0000 | | 98 | See | | | |
| Morocco Nador Metalsa pop 2 | | 0.0000 | | 73 | See | | | |
| Mexico Mestizo | 0.0 | 0.0000 | | 41 | See | | | |
| Cape Verde Northwestern Islands | | 0.0000 | | 62 | See | | | |
| Cuba Mixed Race | 0.0 | 0.0000 | | 42 | See | | | |
| Cuba Caucasian | 0.0 | 0.0000 | | 70 | See | | | |
| Czech Republic | | 0.0000 | | 106 | See | | | |
| Cameroon Sawa | | 0.0000 | | 13 | See | | | |
| Cameroon Baka Pygmy | | 0.0000 | | 10 | See | | | |
| Switzerland Basel | | 0.0000 | | 1888 | See | | | |
| Switzerland Geneva pop 2 | | 0.0000 | | 1267 | See | | | |
| Switzerland Graubunden | | 0.0000 | | 759 | See | | | |
| Switzerland Lugano | | 0.0000 | | 1169 | See | | | |
| Burkina Faso Fulani | | 0.0000 | | 49 | See | | | |
| Bulgaria | | 0.0000 | | 55 | See | | | |
| Brazil Vale do Ribeira Quilombos | 0.0 | 0.0000 | | 144 | See | | | |
| Switzerland Aargau-Solothurn | | 0.0000 | | 1838 | See | | | |
| Switzerland St Gallen | | 0.0000 | | 2113 | See | | | |
| Switzerland Sion | | 0.0000 | | 832 | See | | | |
| Switzerland Zurich | | 0.0000 | | 4875 | See | | | |
| China North Han | | 0.0000 | | 105 | See | | | |
| China Tibet Region Tibetan | | 0.0000 | | 158 | See | | | |
| Mexico Tlaxcala, Tlaxcala city | | 0.0000 | | 181 | See | | |
|
| Mexico Guerrero state | | 0.0000 | | 144 | See | | |
|
| Mexico Hidalgo, Pachuca | | 0.0000 | | 41 | See | | |
|
| Mexico Veracruz, Xalapa | | 0.0000 | | 187 | See | | |
|
| Mexico Veracruz, Veracruz city | | 0.0000 | | 171 | See | | |
|
| Mexico Veracruz, Poza Rica | | 0.0000 | | 45 | See | | |
|
| Mexico Mexico City West | | 0.0000 | | 33 | See | | |
|
| Mexico Yucatan, Merida | | 0.0000 | | 192 | See | | |
|
| Mexico Campeche, Campeche city | | 0.0000 | | 34 | See | | |
|
| Mexico Tabasco, Villahermosa | | 0.0000 | | 82 | See | | |
|
| Mexico Nayarit, Tepic | | 0.0000 | | 97 | See | | |
|
| Mexico Aguascalientes state | | 0.0000 | | 95 | See | | | |
| Mexico Jalisco, Tlajomulco | | 0.0000 | | 30 | See | | |
|
| Mexico Baja California, La Paz | | 0.0000 | | 75 | See | | |
|
| Mexico Jalisco, Zapopan | | 0.0000 | | 168 | See | | |
|
| Mexico Guanajuato, Guanajuato city | | 0.0000 | | 22 | See | | |
|
| Mexico Michoacan, Morelia | | 0.0000 | | 150 | See | | |
|
| Mexico Veracruz, Cordoba | | 0.0000 | | 56 | See | | |
|
| Mexico Veracruz, Orizaba | | 0.0000 | | 60 | See | | |
|
| Mexico Veracruz, Coatzacoalcos | | 0.0000 | | 55 | See | | |
|
| Mexico San Luis Potosi, San Luis Potosi city | | 0.0000 | | 30 | See | | |
|
| Mexico Tamaulipas, Ciudad Victoria | | 0.0000 | | 23 | See | | |
|
| Mexico Queretaro, Queretaro city | | 0.0000 | | 45 | See | | |
|
| Mexico Mexico City East | | 0.0000 | | 79 | See | | |
|
| Mexico Hidalgo Rural | | 0.0000 | | 81 | See | | |
|
| Mexico Nayarit Rural | | 0.0000 | | 64 | See | | |
|
| Mexico Jalisco Rural | | 0.0000 | | 585 | See | | |
|
| Mexico Colima Rural | | 0.0000 | | 43 | See | | |
|
| Mexico Baja California Rural | | 0.0000 | | 50 | See | | |
|
| Mexico Sinaloa Rural | | 0.0000 | | 183 | See | | |
|
| Mexico Chihuahua Rural | | 0.0000 | | 236 | See | | |
|
| Mexico Zacatecas, Zacatecas city | | 0.0000 | | 84 | See | | |
|
| Mexico Coahuila, Torreon | | 0.0000 | | 396 | See | | |
|
| Mexico Coahuila, Saltillo | | 0.0000 | | 72 | See | | |
|
| Mexico Durango, Durango city | | 0.0000 | | 153 | See | | |
|
| Mexico Quintana Roo, Cancun | | 0.0000 | | 48 | See | | |
|
| Mexico Chiapas Rural | | 0.0000 | | 121 | See | | |
|
| Mexico Campeche Rural | | 0.0000 | | 47 | See | | |
|
| Mexico Yucatan Rural | | 0.0000 | | 132 | See | | |
|
| Mexico Quintana Roo Rural | | 0.0000 | | 50 | See | | |
|
| Mexico Baja California, Tijuana | | 0.0000 | | 25 | See | | |
|
| Mexico Nuevo Leon Rural | | 0.0000 | | 439 | See | | |
|
| Mexico Queretaro Rural | | 0.0000 | | 43 | See | | |
|
| Mexico San Luis Potosi Rural | | 0.0000 | | 87 | See | | |
|
| Mexico Mexico City Metropolitan Area Rural | | 0.0000 | | 150 | See | | |
|
| Mexico Tlaxcala Rural | | 0.0000 | | 830 | See | | |
|
| Mexico Puebla Rural | | 0.0000 | | 833 | See | | |
|
| Mexico Oaxaca Rural | | 0.0000 | | 485 | See | | |
|
| Mexico Morelos Rural | | 0.0000 | | 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)
* 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.