Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
 | Mexico Mexico City West | | 0.0597 |  | 33 | See |  |  |
|
 | Mexico Mexico City East | | 0.0375 |  | 79 | See |  |  |
|
 | Mexico Veracruz, Poza Rica | | 0.0333 |  | 45 | See |  |  |
|
 | Mexico Mexico City Mestizo pop 2 | | 0.0321 |  | 234 | See |  |  | |
 | Mexico Mixtec | | 0.0310 |  | 97 | See |  |  | |
 | Mexico Oaxaca Jamiltepec Mixtec | | 0.0310 |  | 96 | See |  |  |
|
 | Mexico Hidalgo Rural | | 0.0309 |  | 81 | See |  |  |
|
 | Mexico Tlaxcala, Tlaxcala city | | 0.0276 |  | 181 | See |  |  |
|
 | Mexico Mestizo | 4.9 | 0.0240 |  | 41 | See |  |  | |
 | Mexico Mexico City Mestizo population | | 0.0210 |  | 143 | See |  |  |
|
 | Mexico Mexico City Metropolitan Area Rural | | 0.0197 |  | 150 | See |  |  |
|
 | Mexico Guadalajara Mestizo pop 2 | | 0.0190 |  | 103 | See |  |  | |
 | Mexico Tlaxcala Rural | | 0.0169 |  | 830 | See |  |  |
|
 | Mexico San Luis Potosi, San Luis Potosi city | | 0.0167 |  | 30 | See |  |  |
|
 | Mexico Coahuila Rural | | 0.0161 |  | 216 | See |  |  |
|
 | Mexico Nayarit Rural | | 0.0156 |  | 64 | See |  |  |
|
 | Mexico Nayarit, Tepic | | 0.0155 |  | 97 | See |  |  |
|
 | Mexico Jalisco, Tonala | | 0.0143 |  | 35 | See |  |  |
|
 | Mexico Sinaloa Rural | | 0.0137 |  | 183 | See |  |  |
|
 | Mexico Zacatecas Rural | | 0.0130 |  | 266 | See |  |  |
|
 | Nicaragua Mestizo (G) | 2.6 | 0.0130 |  | 155 | See |  |  |
|
 | Mexico Jalisco, Guadalajara city | | 0.0126 |  | 1189 | See |  |  |
|
 | Argentina Rosario Toba | 2.3 | 0.0120 |  | 86 | See |  |  | |
 | Cuba Mixed Race | 2.4 | 0.0120 |  | 42 | See |  |  | |
 | Mexico Tamaulipas Rural | | 0.0119 |  | 125 | See |  |  |
|
 | USA NMDP Mexican or Chicano | | 0.0106 |  | 261235 | See |  |  | |
 | Mexico Guerrero state | | 0.0104 |  | 144 | See |  |  |
|
 | China North Han | | 0.0100 |  | 105 | See |  |  | |
 | China Guangdong Province Meizhou Han | | 0.0100 |  | 100 | See |  |  | |
 | Mexico Coahuila, Torreon | | 0.0100 |  | 396 | See |  |  |
|
 | Mexico Baja Californa, Mexicali | | 0.0100 |  | 100 | See |  |  |
|
 | Mexico Mexico City South | | 0.0096 |  | 52 | See |  |  |
|
 | Mexico Guanajuato Rural | | 0.0092 |  | 162 | See |  |  |
|
 | Mexico Puebla Rural | | 0.0090 |  | 833 | See |  |  |
|
 | Mexico Veracruz, Cordoba | | 0.0089 |  | 56 | See |  |  |
|
 | Mexico Nuevo Leon, Monterrey city | | 0.0089 |  | 226 | See |  |  |
|
 | Mexico Michoacan Rural | | 0.0086 |  | 348 | See |  |  |
|
 | Cape Verde Northwestern Islands | | 0.0080 |  | 62 | See |  |  | |
 | Mexico Mexico City North | | 0.0080 |  | 751 | See |  |  |
|
 | USA South Texas Hispanic | | 0.0080 |  | 194 | See |  |  | |
 | USA Hispanic pop 2 | | 0.0078 |  | 1999 | See |  |  | |
 | Mexico Jalisco Rural | | 0.0077 |  | 585 | See |  |  |
|
 | USA Mexican American Mestizo | | 0.0070 |  | 553 | See |  |  | |
 | USA Spain Ancestry | | 0.0070 |  | 279 | See |  |  | |
 | Mexico Oaxaca, Oaxaca city | | 0.0066 |  | 151 | See |  |  |
|
 | Mexico Michoacan, Morelia | | 0.0066 |  | 150 | See |  |  |
|
 | Mexico Durango, Durango city | | 0.0065 |  | 153 | See |  |  |
|
 | USA San Antonio Caucasian | | 0.0060 |  | 222 | See |  |  | |
 | Mexico Puebla, Puebla city | | 0.0060 |  | 1994 | See |  |  |
|
 | Mexico San Luis Potosi Rural | | 0.0057 |  | 87 | See |  |  |
|
 | Mexico Aguascalientes state | | 0.0053 |  | 95 | See |  |  | |
 | Mexico Veracruz, Xalapa | | 0.0053 |  | 187 | See |  |  |
|
 | Costa Rica Central Valley Mestizo (G) | 1.0 | 0.0050 |  | 221 | See |  |  |
|
 | Mexico Chihuahua, Ciudad Juarez | | 0.0046 |  | 106 | See |  |  |
|
 | Nicaragua Managua | 0.9 | 0.0045 |  | 339 | See |  |  |
|
 | USA NMDP Hispanic South or Central American | | 0.0043 |  | 146714 | See |  |  | |
 | Mexico Chihuahua Chihuahua City | | 0.0042 |  | 119 | See |  |  |
|
 | Mexico Chihuahua Rural | | 0.0042 |  | 236 | See |  |  |
|
 | Russia Bashkortostan, Bashkirs | 0.8 | 0.0042 |  | 120 | See |  |  |
|
 | Mexico Chiapas Rural | | 0.0041 |  | 121 | See |  |  |
|
 | USA Hispanic | | 0.0040 |  | 234 | See |  |  | |
 | China Beijing pop 2 | | 0.0037 |  | 826 | See |  |  | |
 | Mexico Tabasco Rural | | 0.0035 |  | 142 | See |  |  |
|
 | Mexico Mexico City Center | | 0.0032 |  | 152 | See |  |  |
|
 | Mexico Oaxaca Rural | | 0.0031 |  | 485 | See |  |  |
|
 | Mexico Jalisco, Zapopan | | 0.0030 |  | 168 | See |  |  |
|
 | USA North American Native | | 0.0030 |  | 187 | See |  |  | |
 | USA Asian | | 0.0030 |  | 358 | See |  |  | |
 | Mexico Veracruz, Veracruz city | | 0.0029 |  | 171 | See |  |  |
|
 | Switzerland Geneva pop 2 | | 0.0025 |  | 1267 | See |  |  | |
 | Brazil Barra Mansa Rio State Caucasian | | 0.0025 |  | 405 | See |  |  |
|
 | USA San Diego | 0.3 | 0.0020 |  | 496 | See |  |  |
|
 | USA African American | | 0.0020 |  | 252 | See |  |  | |
 | Mexico Veracruz Rural | | 0.0018 |  | 539 | See |  |  |
|
 | Mexico Durango Rural | | 0.0015 |  | 326 | See |  |  |
|
 | Hong Kong Chinese | 0.2 | 0.0010 |  | 569 | See |  |  | |
 | USA NMDP Caribean Hispanic | | 0.0008 |  | 115374 | See |  |  | |
 | USA NMDP Hawaiian or other Pacific Islander | | 0.0002 |  | 11499 | See |  |  | |
 | USA Arizona Gila River Pima | | 0.0002 |  | 3000 | See |  |  | |
 | Israel Argentina Jews | | 0.0001 |  | 4307 | See |  |  |
|
 | Taiwan Tzu Chi Morrow Donor Registry | | 0.0001 |  | 46682 | See |  |  | |
 | USA NMDP Korean | | 0.0001 |  | 77584 | See |  |  | |
 | USA NMDP Japanese | | 0.0001 |  | 24582 | See |  |  | |
 | USA NMDP African | | 0.0001 |  | 28557 | See |  |  | |
 | USA NMDP North American Amerindian | | 0.0001 |  | 35791 | See |  |  | |
 | Israel USA Jews | | 0.0001 |  | 6058 | See |  |  |
|
 | Israel Georgia Jews | | 0.0000 |  | 4471 | See |  |  |
|
 | USA NMDP Caribean Black | | 0.0000 |  | 33328 | See |  |  | |
 | USA NMDP Filipino | | 0.0000 |  | 50614 | See |  |  | |
 | USA NMDP Chinese | | 0.0000 |  | 99672 | See |  |  | |
 | USA NMDP European Caucasian | | 0.0000 |  | 1242890 | See |  |  | |
 | Israel Iran Jews | | 0.0000 |  | 8153 | See |  |  |
|
 | USA NMDP South Asian Indian | | 0.0000 |  | 185391 | See |  |  | |
 | Germany DKMS - German donors | | 0.0000 |  | 3456066 | See |  |  |
|
 | Germany pop 8 | | 0.0000 |  | 39689 | See |  |  | |
 | Guinea Bissau | | 0.0000 |  | 65 | See |  |  | |
 | Croatia | | 0.0000 |  | 150 | See |  |  | |
 | Ireland Northern | 0.0 | 0.0000 |  | 1000 | See |  |  | |
 | Italy Bergamo | 0.0 | 0.0000 |  | 101 | See |  |  | |
 | South Korea pop 3 | | 0.0000 |  | 485 | See |  |  | |
 | Bulgaria | | 0.0000 |  | 55 | See |  |  | |
 | Burkina Faso Fulani | | 0.0000 |  | 49 | See |  |  | |
 | Burkina Faso Rimaibe | | 0.0000 |  | 47 | See |  |  | |
 | Cape Verde Southeastern Islands | | 0.0000 |  | 62 | See |  |  | |
 | Brazil Belo Horizonte Caucasian | 0.0 | 0.0000 |  | 95 | See |  |  | |
 | China Inner Mongolia Region | | 0.0000 |  | 102 | See |  |  | |
 | China Qinghai Province Hui | | 0.0000 |  | 110 | See |  |  | |
 | China Tibet Region Tibetan | | 0.0000 |  | 158 | See |  |  | |
 | Cuba Caucasian | 0.0 | 0.0000 |  | 70 | See |  |  | |
 | Czech Republic | | 0.0000 |  | 106 | 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 |  |  |
|
 | Mexico Baja California, Tijuana | | 0.0000 |  | 25 | See |  |  |
|
 | Mexico Baja California Rural | | 0.0000 |  | 50 | See |  |  |
|
 | Mexico Sonora Rural | | 0.0000 |  | 197 | See |  |  |
|
 | Mexico Colima Rural | | 0.0000 |  | 43 | See |  |  |
|
 | Mexico Nuevo Leon Rural | | 0.0000 |  | 439 | See |  |  |
|
 | Mexico Queretaro Rural | | 0.0000 |  | 43 | See |  |  |
|
 | Mexico Morelos Rural | | 0.0000 |  | 30 | See |  |  |
|
 | Mexico Campeche Rural | | 0.0000 |  | 47 | See |  |  |
|
 | Mexico Yucatan Rural | | 0.0000 |  | 132 | See |  |  |
|
 | Mexico Quintana Roo Rural | | 0.0000 |  | 50 | See |  |  |
|
 | Mexico Quintana Roo, Cancun | | 0.0000 |  | 48 | 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 |  |  |
|
 | Taiwan Tzu Chi Morrow Donor Registry Aborigine | | 0.0000 |  | 233 | See |  |  | |
 | Mexico Coahuila, Saltillo | | 0.0000 |  | 72 | See |  |  |
|
 | Singapore Chinese | 0.0 | 0.0000 |  | 149 | See |  |  | |
 | South Africa Natal Zulu | 0.0 | 0.0000 |  | 100 | See |  |  | |
 | Switzerland Aargau-Solothurn | | 0.0000 |  | 1838 | See |  |  | |
 | Switzerland Bern | | 0.0000 |  | 3545 | See |  |  | |
 | Switzerland Basel | | 0.0000 |  | 1888 | See |  |  | |
 | Oman | 0.0 | 0.0000 |  | 118 | See |  |  | |
 | Philippines Ivatan | 0.0 | 0.0000 |  | 50 | See |  |  | |
 | Romania | 0.0 | 0.0000 |  | 348 | See |  |  | |
 | Switzerland Graubunden | | 0.0000 |  | 759 | See |  |  | |
 | Switzerland Lugano | | 0.0000 |  | 1169 | See |  |  | |
 | Switzerland Lausanne | | 0.0000 |  | 993 | See |  |  | |
 | Switzerland Luzern | | 0.0000 |  | 1553 | See |  |  | |
 | Switzerland St Gallen | | 0.0000 |  | 2113 | See |  |  | |
 | Switzerland Sion | | 0.0000 |  | 832 | See |  |  | |
 | Switzerland Zurich | | 0.0000 |  | 4875 | 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 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 |  |  | |
 | Taiwan Pazeh | 0.0 | 0.0000 |  | 55 | See |  |  | |
 | Taiwan Siraya | 0.0 | 0.0000 |  | 51 | See |  |  | |
 | Taiwan Thao | 0.0 | 0.0000 |  | 30 | See |  |  | |
 | Mexico Tamaulipas, Ciudad Victoria | | 0.0000 |  | 23 | See |  |  |
|
 | Mexico Queretaro, Queretaro city | | 0.0000 |  | 45 | 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 Hidalgo, Pachuca | | 0.0000 |  | 41 | See |  |  |
|
 | Mexico Veracruz, Orizaba | | 0.0000 |  | 60 | See |  |  |
|
 | Mexico Veracruz, Coatzacoalcos | | 0.0000 |  | 55 | See |  |  |
|
 | Mexico Jalisco, Tlaquepaque | | 0.0000 |  | 39 | See |  |  |
|
 | Mexico Jalisco, Tlajomulco | | 0.0000 |  | 30 | See |  |  |
|
 | Mexico Zacatecas, Fresnillo | | 0.0000 |  | 103 | See |  |  |
|
 | Mexico Zacatecas, Zacatecas city | | 0.0000 |  | 84 | 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 |  |  |
|
 | Morocco Settat Chaouya | 0.0 | 0.0000 |  | 98 | See |  |  | |
 | Morocco Nador Metalsa pop 2 | | 0.0000 |  | 73 | See |  |  | |
 | Netherlands Leiden | | 0.0000 |  | 1305 | See |  |  | |
 | USA African American pop 4 | | 0.0000 |  | 2411 | See |  |  | |
 | USA Asian pop 2 | | 0.0000 |  | 1772 | See |  |  | |
 | USA Philadelphia Caucasian | 0.0 | 0.0000 |  | 141 | See |  |  | |
 | USA Alaska Yupik | | 0.0000 |  | 252 | See |  |  | |
 | USA Caucasian Bethesda | 0.0 | 0.0000 |  | 307 | See |  |  | |
 | USA African American Bethesda | 0.0 | 0.0000 |  | 187 | See |  |  | |
 | USA Caucasian pop 2 | | 0.0000 |  | 265 | 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.