Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
 | South Africa Tswana | 9.7 | 0.0490 |  | 41 | See |  |  | |
 | South Africa Natal Zulu | 6.0 | 0.0300 |  | 100 | See |  |  | |
 | China Yunnan Province Han pop 2 | | 0.0120 |  | 129 | See |  |  | |
 | Albania | | 0.0060 |  | 160 | See |  |  | |
 | Malaysia Perak and Johor Banjar Bugis Jawa | | 0.0050 |  | 94 | See |  |  | |
 | Brazil Curitiba-Parana Mixed | | 0.0021 |  | 264 | See |  |  | |
 | Brazil Parana Cafuzo | 0.3 | 0.0020 |  | 319 | See |  |  | |
 | Mozambique | | 0.0020 |  | 202 | See |  |  | |
 | Mexico Durango Rural | | 0.0015 |  | 326 | See |  |  |
|
 | Albania pop 2 | 0.2 | 0.0012 |  | 432 | See |  |  | |
 | Brazil Parana Caucasian | 0.1 | 0.0010 |  | 2775 | See |  |  | |
 | Wales pop 2 | 0.1 | 0.0010 |  | 39979 | See |  |  | |
 | Russia Northwest | 0.1 | 0.0005 |  | 1011 | See |  |  | |
 | Romania pop 3 | 0.1 | 0.0003 |  | 1469 | See |  |  | |
 | Brazil Rio Grande do Sul Caucasoid | | 0.0003 |  | 4428 | See |  |  | |
 | Brazil REDOME Paraiba | | 0.0002 |  | 43868 | See |  |  | |
 | Brazil REDOME Rio de Janeiro | | 0.0002 |  | 139322 | See |  |  | |
 | Brazil REDOME Pernambuco | | 0.0002 |  | 92332 | See |  |  | |
 | Brazil REDOME Mato Grosso | | 0.0001 |  | 34649 | See |  |  | |
 | Brazil REDOME Federal District | | 0.0001 |  | 29549 | See |  |  | |
 | Brazil REDOME Espirito Santo | | 0.0001 |  | 88485 | See |  |  | |
 | Brazil REDOME Parana | | 0.0001 |  | 341639 | See |  |  | |
 | Brazil REDOME Sao Paulo | | 0.0001 |  | 800809 | See |  |  | |
 | Brazil REDOME Tocantins | | 0.0001 |  | 20692 | See |  |  | |
 | Brazil REDOME Rio Grande do Norte | | 0.0001 |  | 46603 | See |  |  | |
 | Brazil REDOME Para | | 0.0001 |  | 72637 | See |  |  | |
 | Brazil South East Cord Blood | | 0.0001 |  | 11409 | See |  |  |
|
 | Brazil Para State | 0.0 | 0.0001 |  | 5000 | See |  |  |
|
 | Italy | | 0.0001 |  | 159311 | See |  |  | |
 | Brazil REDOME Amapa | | 0.0001 |  | 17864 | See |  |  | |
 | Brazil REDOME Ceara | | 0.0001 |  | 101217 | See |  |  | |
 | Brazil REDOME Minas Gerais | | 0.0001 |  | 211275 | See |  |  | |
 | Brazil REDOME Alagoas | | 0.0001 |  | 25349 | See |  |  | |
 | Greece pop 7 | | 0.0001 |  | 11250 | See |  |  | |
 | Croatia | | 0.0000 |  | 150 | See |  |  | |
 | Croatia pop 2 | | 0.0000 |  | 100 | See |  |  | |
 | Iran Royan Cord Blood Bank | 0.0 | 0.0000 |  | 15600 | See |  |  | |
 | Israel Moroccan Jews | | 0.0000 |  | 113 | See |  |  | |
 | Israel Ashkenazi Jews pop 2 | | 0.0000 |  | 132 | See |  |  | |
 | Brazil REDOME Amazonas | | 0.0000 |  | 24129 | See |  |  | |
 | Brazil Rio Grande do Norte Mestizo | | 0.0000 |  | 12973 | See |  |  | |
 | Brazil Piaui Mixed | | 0.0000 |  | 21943 | See |  |  | |
 | China North Han | | 0.0000 |  | 105 | See |  |  | |
 | Malaysia pop 2 | | 0.0000 |  | 62 | See |  |  | |
 | Malaysia Negeri Sembilan Minangkabau | | 0.0000 |  | 34 | See |  |  | |
 | Malaysia Perak Rawa | | 0.0000 |  | 23 | See |  |  | |
 | Pakistan Burusho | | 0.0000 |  | 92 | See |  |  | |
 | Pakistan Mixed Sindhi | | 0.0000 |  | 101 | See |  |  | |
 | Portugal South pop 2 | | 0.0000 |  | 1021 | See |  |  | |
 | Romania | 0.0 | 0.0000 |  | 348 | See |  |  | |
 | China Shanghai | | 0.0000 |  | 26266 | See |  |  | |
 | China Yunnan Province Naxi | | 0.0000 |  | 118 | See |  |  | |
 | Cuba Mixed Race | 0.0 | 0.0000 |  | 42 | See |  |  | |
 | Ecuador Coast Mixed Ancestry | | 0.0000 |  | 238 | See |  |  |
|
 | Ecuador Amazonia Mixed Ancestry | | 0.0000 |  | 39 | See |  |  |
|
 | Ecuador Andes Mixed Ancestry | | 0.0000 |  | 824 | See |  |  |
|
 | Ecuador Mixed Ancestry | | 0.0000 |  | 1173 | See |  |  |
|
 | Spain Majorca | | 0.0000 |  | 407 | See |  |  | |
 | Spain Minorca | | 0.0000 |  | 94 | See |  |  | |
 | Spain Ibiza | | 0.0000 |  | 88 | See |  |  | |
 | Spain Majorcans Jews | | 0.0000 |  | 103 | See |  |  | |
 | Spain Murcia | | 0.0000 |  | 173 | See |  |  | |
 | Spain, Castilla y Leon, Northwest, | 0.0 | 0.0000 |  | 1743 | See |  |  |
|
 | France Southeast | 0.0 | 0.0000 |  | 130 | See |  |  | |
 | Greece North | | 0.0000 |  | 500 | See |  |  | |
 | Mexico Coahuila Rural | | 0.0000 |  | 216 | See |  |  |
|
 | Mexico Zacatecas Rural | | 0.0000 |  | 266 | See |  |  |
|
 | Mexico Sinaloa, Culiacán | | 0.0000 |  | 103 | See |  |  |
|
 | Mexico Sonora, Hermosillo | | 0.0000 |  | 99 | See |  |  |
|
 | Mexico Sonora, Ciudad Obregón | | 0.0000 |  | 143 | See |  |  |
|
 | Mexico Baja California, La Paz | | 0.0000 |  | 75 | See |  |  |
|
 | Mexico Baja Californa, Mexicali | | 0.0000 |  | 100 | See |  |  |
|
 | Mexico Baja California Rural | | 0.0000 |  | 50 | 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 Chihuahua, Ciudad Juarez | | 0.0000 |  | 106 | See |  |  |
|
 | Mexico Chihuahua Chihuahua City | | 0.0000 |  | 119 | See |  |  |
|
 | Mexico Jalisco, Tonala | | 0.0000 |  | 35 | See |  |  |
|
 | Mexico Jalisco, Tlaquepaque | | 0.0000 |  | 39 | See |  |  |
|
 | Mexico Jalisco, Tlajomulco | | 0.0000 |  | 30 | See |  |  |
|
 | Mexico Jalisco, Guadalajara city | | 0.0000 |  | 1189 | See |  |  |
|
 | Mexico Nayarit, Tepic | | 0.0000 |  | 97 | See |  |  |
|
 | Mexico Zacatecas, Fresnillo | | 0.0000 |  | 103 | See |  |  |
|
 | Mexico Nuevo Leon, Monterrey city | | 0.0000 |  | 226 | See |  |  |
|
 | Mexico Colima, Colima city | | 0.0000 |  | 61 | See |  |  |
|
 | Mexico Guanajuato, Leon | | 0.0000 |  | 78 | See |  |  |
|
 | Mexico Guanajuato, Guanajuato city | | 0.0000 |  | 22 | See |  |  |
|
 | Mexico Michoacan, Morelia | | 0.0000 |  | 150 | See |  |  |
|
 | Mexico Jalisco, Zapopan | | 0.0000 |  | 168 | 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 Aguascalientes state | | 0.0000 |  | 95 | See |  |  | |
 | Mexico Mexico City Center | | 0.0000 |  | 152 | 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 Veracruz, Cordoba | | 0.0000 |  | 56 | See |  |  |
|
 | Mexico Guerrero state | | 0.0000 |  | 144 | See |  |  |
|
 | Mexico Puebla, Puebla city | | 0.0000 |  | 1994 | See |  |  |
|
 | Mexico Tlaxcala, Tlaxcala city | | 0.0000 |  | 181 | See |  |  |
|
 | Mexico Mexico City South | | 0.0000 |  | 52 | See |  |  |
|
 | Mexico Mexico City North | | 0.0000 |  | 751 | See |  |  |
|
 | Mexico Mexico City East | | 0.0000 |  | 79 | See |  |  |
|
 | Mexico Yucatan, Merida | | 0.0000 |  | 192 | See |  |  |
|
 | Mexico Campeche, Campeche city | | 0.0000 |  | 34 | See |  |  |
|
 | Mexico Chiapas, Tuxtla Gutierrez | | 0.0000 |  | 52 | See |  |  |
|
 | Mexico Tabasco, Villahermosa | | 0.0000 |  | 82 | See |  |  |
|
 | Mexico Morelos, Cuernavaca | | 0.0000 |  | 82 | See |  |  |
|
 | Mexico Oaxaca, Oaxaca city | | 0.0000 |  | 151 | See |  |  |
|
 | Macedonia pop 4 | | 0.0000 |  | 216 | See |  |  | |
 | Italy Rome | 0.0 | 0.0000 |  | 100 | See |  |  | |
 | Italy North pop 3 | 0.0 | 0.0000 |  | 97 | See |  |  | |
 | Italy Bergamo | 0.0 | 0.0000 |  | 101 | See |  |  | |
 | Italy South Campania Region | 0.0 | 0.0000 |  | 1089 | See |  |  | |
 | Jordan | | 0.0000 |  | 15141 | See |  |  | |
 | South Korea pop 1 | | 0.0000 |  | 324 | See |  |  | |
 | Morocco Casablanca | | 0.0000 |  | 100 | See |  |  | |
 | Morocco pop 2 | | 0.0000 |  | 110 | See |  |  | |
 | Mexico Mestizo | 0.0 | 0.0000 |  | 41 | See |  |  | |
 | Mexico Mexico City Mestizo | | 0.0000 |  | 121 | See |  |  | |
 | Mexico Puebla Mestizo | | 0.0000 |  | 99 | See |  |  | |
 | Mexico Sinaloa Mestizo | | 0.0000 |  | 56 | See |  |  | |
 | Mexico Quintana Roo, Cancun | | 0.0000 |  | 48 | See |  |  |
|
 | Mexico Mexico City West | | 0.0000 |  | 33 | 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 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 |  |  |
|
 | Mexico Tabasco Rural | | 0.0000 |  | 142 | See |  |  |
|
 | Mexico Chiapas Rural | | 0.0000 |  | 121 | See |  |  |
|
 | Mexico Queretaro Rural | | 0.0000 |  | 43 | See |  |  |
|
 | Mexico Tamaulipas Rural | | 0.0000 |  | 125 | See |  |  |
|
 | Mexico San Luis Potosi Rural | | 0.0000 |  | 87 | See |  |  |
|
 | Mexico Veracruz Rural | | 0.0000 |  | 539 | See |  |  |
|
 | Mexico Hidalgo Rural | | 0.0000 |  | 81 | See |  |  |
|
 | Mexico Mexico City Metropolitan Area Rural | | 0.0000 |  | 150 | See |  |  |
|
 | Mexico Nayarit Rural | | 0.0000 |  | 64 | See |  |  |
|
 | Mexico Jalisco Rural | | 0.0000 |  | 585 | See |  |  |
|
 | Mexico Michoacan Rural | | 0.0000 |  | 348 | See |  |  |
|
 | Mexico Guanajuato Rural | | 0.0000 |  | 162 | See |  |  |
|
 | Mexico Colima Rural | | 0.0000 |  | 43 | See |  |  |
|
 | Mexico Nuevo Leon Rural | | 0.0000 |  | 439 | See |  |  |
|
 | Mexico Sonora Rural | | 0.0000 |  | 197 | See |  |  |
|
 | Mexico Sinaloa Rural | | 0.0000 |  | 183 | See |  |  |
|
 | Mexico Chihuahua Rural | | 0.0000 |  | 236 | See |  |  |
|
 | Brazil REDOME Rio Grande do Sul | | 0.0000 |  | 241329 | See |  |  | |
 | Brazil REDOME Rondonia | | 0.0000 |  | 54396 | See |  |  | |
 | Brazil REDOME Santa Catarina | | 0.0000 |  | 106673 | See |  |  | |
 | Brazil Parana Mixed race | 0.0 | 0.0000 |  | 186 | See |  |  | |
 | Brazil Parana Afro Brazilian | 0.0 | 0.0000 |  | 77 | See |  |  | |
 | Brazil Parana Oriental | 0.0 | 0.0000 |  | 33 | See |  |  | |
 | United Arab Emirates pop 2 | 0.0 | 0.0000 |  | 373 | See |  |  | |
 | Argentina La Plata | 0.0 | 0.0000 |  | 100 | See |  |  | |
 | Argentina Rosario Toba | 0.0 | 0.0000 |  | 86 | See |  |  | |
 | Argentina Chiriguano | 0.0 | 0.0000 |  | 54 | See |  |  | |
 | Argentina Salta Wichi pop 2 | 0.0 | 0.0000 |  | 19 | See |  |  | |
 | Argentina Buenos Aires pop 2 | 0.0 | 0.0000 |  | 1216 | See |  |  | |
 | Argentina Cuyo Region | 0.0 | 0.0000 |  | 420 | See |  |  | |
 | Argentina Corrientes | 0.0 | 0.0000 |  | 155 | See |  |  | |
 | Australia West Caucasian | 0.0 | 0.0000 |  | 891 | See |  |  | |
 | Bosnia and Herzegovina | | 0.0000 |  | 134 | See |  |  | |
 | Brazil Sao Paulo Mixed | 0.0 | 0.0000 |  | 239 | See |  |  | |
 | Brazil Sao Paulo Bauru Mixed | | 0.0000 |  | 3542 | See |  |  | |
 | Brazil REDOME Goias | | 0.0000 |  | 88574 | See |  |  | |
 | Brazil REDOME Mato Grosso do Sul | | 0.0000 |  | 95667 | See |  |  | |
 | Brazil REDOME Piaui | | 0.0000 |  | 46140 | See |  |  | |
 | Russia Nenet Mixed | | 0.0000 |  | 55 | See |  |  | |
 | Russia Arkhangelsk Pomor | | 0.0000 |  | 63 | See |  |  | |
 | Russia Murmansk Saomi Mixed | | 0.0000 |  | 70 | See |  |  | |
 | Russia Moscow | | 0.0000 |  | 2650 | See |  |  | |
 | Russia South Ural Russian | 0.0 | 0.0000 |  | 207 | See |  |  | |
 | Russia South Ural Bashkir | 0.0 | 0.0000 |  | 146 | See |  |  | |
 | Russia South Ural Tatar | 0.0 | 0.0000 |  | 135 | See |  |  | |
 | Russia Northwest pop 3 | 0.0 | 0.0000 |  | 100 | See |  |  | |
 | Saudi Arabia pop 2 | | 0.0000 |  | 383 | See |  |  | |
 | Turkey pop 5 | | 0.0000 |  | 142 | See |  |  | |
 | USA San Antonio Caucasian | | 0.0000 |  | 222 | See |  |  | |
 | USA South Texas Hispanic | | 0.0000 |  | 194 | See |  |  | |
 | Wales | 0.0 | 0.0000 |  | 1798 | 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.