Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
 | China Yunnan Bulang | | 0.3580 |  | 116 | See |  |  | |
 | China Yunnan Province Jinuo | | 0.2380 |  | 109 | See |  |  | |
 | Philippines Ivatan | 36.0 | 0.2200 |  | 50 | See |  |  | |
 | China Yunnan Province Wa | | 0.2100 |  | 119 | See |  |  | |
 | China Jingpo Minority | 33.0 | 0.1800 |  | 105 | See |  |  |
|
 | Taiwan Puyuma | 34.0 | 0.1800 |  | 50 | See |  |  | |
 | Malaysia Champa | 34.5 | 0.1720 |  | 29 | See |  |  |
|
 | Malaysia Pahang Semai | 31.6 | 0.1710 |  | 38 | See |  |  |
|
 | Malaysia Mandailing | 29.6 | 0.1670 |  | 27 | See |  |  |
|
 | Indonesia Java pop 2 | | 0.1670 |  | 36 | See |  |  | |
 | Malaysia Kelantan | 28.6 | 0.1610 |  | 28 | See |  |  |
|
 | Malaysia Sarawak Bau Bidayuh | | 0.1600 |  | 25 | See |  |  | |
 | China Guizhou Province Shui | | 0.1560 |  | 153 | See |  |  | |
 | China Guizhou Province Bouyei | | 0.1550 |  | 109 | See |  |  | |
 | Singapore SGVP Malay MAS | | 0.1550 |  | 89 | See |  |  |
|
 | China Guangxi Region Maonan | | 0.1480 |  | 108 | See |  |  | |
 | India Northeast UCBB | 26.0 | 0.1419 |  | 296 | See |  |  |
|
 | USA NMDP Vietnamese | | 0.1383 |  | 43540 | See |  |  | |
 | Vietnam Hanoi Kinh pop 2 | | 0.1350 |  | 170 | See |  |  | |
 | China Beijing pop 2 | | 0.1287 |  | 826 | See |  |  | |
 | China Yunnan Province Han | | 0.1240 |  | 101 | See |  |  | |
 | China Yunnan Province Lisu | | 0.1230 |  | 111 | See |  |  | |
 | Malaysia Peninsular Malay | 22.3 | 0.1225 |  | 951 | See |  |  |
|
 | Indonesia Java Western | 22.9 | 0.1220 |  | 236 | See |  |  | |
 | Taiwan Tao | 24.0 | 0.1200 |  | 50 | See |  |  | |
 | Singapore Chinese Han | | 0.1160 |  | 94 | See |  |  | |
 | China Guangzhou | | 0.1100 |  | 102 | See |  |  | |
 | Indonesia Sundanese and Javanese | | 0.1070 |  | 201 | See |  |  | |
 | Hong Kong Chinese | 19.8 | 0.1020 |  | 569 | See |  |  | |
 | China Yunnan Hani | | 0.1000 |  | 150 | See |  |  | |
 | Malaysia Patani | 20.0 | 0.1000 |  | 25 | See |  |  |
|
 | Hong Kong Chinese BMDR | | 0.0938 |  | 7595 | See |  |  |
|
 | Hong Kong Chinese cord blood registry | | 0.0912 |  | 3892 | See |  |  |
|
 | Singapore SGVP Chinese CHS | | 0.0910 |  | 96 | See |  |  |
|
 | China Yunnan Province Nu | | 0.0900 |  | 107 | See |  |  | |
 | Thailand | | 0.0850 |  | 142 | See |  |  | |
 | Thailand Northeast pop 2 | | 0.0840 |  | 400 | See |  |  | |
 | Singapore Riau Malay | | 0.0840 |  | 132 | See |  |  | |
 | Singapore Javaneses | | 0.0820 |  | 51 | See |  |  | |
 | Thailand pop 3 | | 0.0820 |  | 49 | See |  |  | |
 | China Canton Han | | 0.0730 |  | 264 | See |  |  | |
 | China South Han | | 0.0710 |  | 284 | See |  |  | |
 | China Southwest Dai | | 0.0690 |  | 124 | See |  |  | |
 | USA NMDP Chinese | | 0.0647 |  | 99672 | See |  |  | |
 | Malaysia Jelebu Temuan | | 0.0630 |  | 25 | See |  |  | |
 | Singapore Thai | | 0.0610 |  | 100 | See |  |  | |
 | Taiwan pop 3 | | 0.0600 |  | 212 | See |  |  | |
 | India Khandesh Region Pawra | | 0.0600 |  | 50 | See |  |  | |
 | Taiwan Minnan pop 1 | 10.8 | 0.0590 |  | 102 | See |  |  | |
 | Singapore Chinese | 11.4 | 0.0570 |  | 149 | See |  |  | |
 | Malaysia Peninsular Chinese | 11.3 | 0.0567 |  | 194 | See |  |  |
|
 | Taiwan pop 2 | | 0.0520 |  | 364 | See |  |  | |
 | China Marrow Donor Registry | | 0.0500 |  | 600 | See |  |  | |
 | USA Asian | | 0.0490 |  | 358 | See |  |  | |
 | India East UCBB | 9.3 | 0.0464 |  | 2403 | See |  |  |
|
 | Taiwan Han Chinese | | 0.0450 |  | 504 | See |  |  | |
 | Taiwan Tzu Chi Morrow Donor Registry | | 0.0444 |  | 46682 | See |  |  | |
 | Sudan Central Shaigiya Mixed | 8.3 | 0.0424 |  | 36 | See |  |  | |
 | USA NMDP Filipino | | 0.0421 |  | 50614 | See |  |  | |
 | Taiwan Tzu Chi Cord Blood Bank | | 0.0420 |  | 710 | See |  |  | |
 | China Guizhou Province Miao pop 2 | | 0.0420 |  | 85 | See |  |  | |
 | USA NMDP Southeast Asian | | 0.0403 |  | 27978 | See |  |  | |
 | India West Bhil | | 0.0400 |  | 50 | See |  |  | |
 | China Hubei Han | 7.6 | 0.0382 |  | 3732 | See |  |  |
|
 | Taiwan Pazeh | 7.3 | 0.0360 |  | 55 | See |  |  | |
 | USA Asian pop 2 | | 0.0357 |  | 1772 | See |  |  | |
 | China Guangdong Province Meizhou Han | | 0.0350 |  | 100 | See |  |  | |
 | Germany DKMS - China minority | | 0.0330 |  | 1282 | See |  |  | |
 | China Han HIV negative | | 0.0310 |  | 72 | See |  |  | |
 | China Henan HIV negative | | 0.0310 |  | 16 | See |  |  | |
 | South Africa Natal Tamil | | 0.0310 |  | 51 | See |  |  | |
 | Mexico Chiapas, Tuxtla Gutierrez | | 0.0283 |  | 52 | See |  |  |
|
 | Malaysia Peninsular Indian | 5.2 | 0.0277 |  | 271 | See |  |  |
|
 | Taiwan Hakka | 5.5 | 0.0270 |  | 55 | See |  |  | |
 | China Qinghai Province Hui | | 0.0270 |  | 110 | See |  |  | |
 | India West UCBB | 5.3 | 0.0266 |  | 5829 | See |  |  |
|
 | USA NMDP South Asian Indian | | 0.0256 |  | 185391 | See |  |  | |
 | Sri Lanka Colombo | 4.9 | 0.0250 |  | 714 | See |  |  |
|
 | China Beijing Shijiazhuang Tianjian Han | | 0.0240 |  | 618 | See |  |  | |
 | Taiwan Tzu Chi Morrow Donor Registry Aborigine | | 0.0236 |  | 233 | See |  |  | |
 | South Korea pop 8 | | 0.0220 |  | 7096 | See |  |  | |
 | China Jiangsu Han | | 0.0210 |  | 3238 | See |  |  | |
 | India Central UCBB | 4.0 | 0.0202 |  | 4204 | See |  |  |
|
 | Malaysia Perak Grik Jehai | | 0.0200 |  | 25 | See |  |  | |
 | China Jiangsu Province Han | | 0.0193 |  | 334 | See |  |  | |
 | China North Han | | 0.0190 |  | 105 | See |  |  | |
 | India Mumbai Maratha | | 0.0190 |  | 91 | See |  |  | |
 | Singapore SGVP. Indian INS | | 0.0190 |  | 86 | See |  |  |
|
 | Sudan East Rashaida | 3.7 | 0.0186 |  | 27 | See |  |  | |
 | India Tamil Nadu | | 0.0181 |  | 2492 | See |  |  |
|
 | India South UCBB | 3.2 | 0.0161 |  | 11446 | See |  |  |
|
 | India Delhi pop 2 | 3.3 | 0.0160 |  | 90 | See |  |  | |
 | Iran Gorgan | | 0.0160 |  | 64 | See |  |  |
|
 | South Africa Worcester | 3.0 | 0.0160 |  | 159 | See |  |  |
|
 | Mexico Mexico City Tlalpan | 3.0 | 0.0152 |  | 330 | See |  |  |
|
 | China Beijing | | 0.0150 |  | 67 | See |  |  | |
 | China Sichuan HIV negative | | 0.0150 |  | 34 | See |  |  | |
 | China Inner Mongolia Region | | 0.0150 |  | 102 | See |  |  | |
 | Mexico Hidalgo, Pachuca | | 0.0122 |  | 41 | See |  |  |
|
 | Mexico Quintana Roo, Cancun | | 0.0104 |  | 48 | See |  |  |
|
 | India North pop 2 | | 0.0100 |  | 72 | See |  |  | |
 | Spain Andalusia Romani | | 0.0100 |  | 99 | See |  |  | |
 | American Samoa | | 0.0100 |  | 51 | See |  |  | |
 | Mexico Baja California Rural | | 0.0100 |  | 50 | See |  |  |
|
 | Taiwan Siraya | 2.0 | 0.0100 |  | 51 | See |  |  | |
 | Taiwan Tsou | 2.0 | 0.0100 |  | 51 | See |  |  | |
 | Mexico Michoacan, Morelia | | 0.0099 |  | 150 | See |  |  |
|
 | United Arab Emirates Abu Dhabi | | 0.0096 |  | 52 | See |  |  |
|
 | India North UCBB | 1.7 | 0.0086 |  | 5849 | See |  |  |
|
 | USA NMDP Hawaiian or other Pacific Islander | | 0.0081 |  | 11499 | See |  |  | |
 | Mexico Mexico City Mestizo | | 0.0080 |  | 121 | See |  |  | |
 | Australia Groote Eylandt Aborigine | | 0.0070 |  | 75 | See |  |  | |
 | Mexico Hidalgo Rural | | 0.0062 |  | 81 | See |  |  |
|
 | Mexico Tabasco, Villahermosa | | 0.0061 |  | 82 | See |  |  |
|
 | United Arab Emirates pop 2 | 1.1 | 0.0060 |  | 373 | See |  |  | |
 | Greece pop 8 | 1.2 | 0.0060 |  | 83 | See |  |  | |
 | Mexico Aguascalientes state | | 0.0053 |  | 95 | See |  |  | |
 | South Africa Caucasians | | 0.0050 |  | 102 | See |  |  | |
 | USA San Diego | 1.0 | 0.0050 |  | 496 | See |  |  |
|
 | Mexico Puebla Mestizo | | 0.0050 |  | 99 | See |  |  | |
 | Mexico Coahuila Rural | | 0.0046 |  | 216 | See |  |  |
|
 | Mexico Mexico City Mestizo pop 2 | | 0.0043 |  | 234 | See |  |  | |
 | Mexico Chiapas Rural | | 0.0041 |  | 121 | See |  |  |
|
 | United Arab Emirates Pop 1 | | 0.0040 |  | 570 | See |  |  |
|
 | Mexico Tamaulipas Rural | | 0.0040 |  | 125 | See |  |  |
|
 | USA NMDP Korean | | 0.0034 |  | 77584 | See |  |  | |
 | South Korea pop 10 | | 0.0033 |  | 4128 | See |  |  | |
 | Mexico Michoacan Rural | | 0.0029 |  | 348 | See |  |  |
|
 | Mexico Veracruz, Veracruz city | | 0.0029 |  | 171 | See |  |  |
|
 | Mexico Sinaloa Rural | | 0.0027 |  | 183 | See |  |  |
|
 | Mexico Veracruz, Xalapa | | 0.0027 |  | 187 | See |  |  |
|
 | Panama | | 0.0022 |  | 462 | See |  |  |
|
 | USA NMDP Alaska Native or Aleut | | 0.0020 |  | 1376 | See |  |  | |
 | USA NMDP Caribean Indian | | 0.0020 |  | 14339 | See |  |  | |
 | USA African American | | 0.0020 |  | 252 | See |  |  | |
 | USA Alaska Yupik | | 0.0020 |  | 252 | See |  |  | |
 | South Korea pop 3 | | 0.0020 |  | 485 | See |  |  | |
 | Mexico Durango Rural | | 0.0015 |  | 326 | See |  |  |
|
 | Mexico Mexico City North | | 0.0013 |  | 751 | See |  |  |
|
 | Mexico Nuevo Leon Rural | | 0.0011 |  | 439 | See |  |  |
|
 | Italy South Campania Region | 0.2 | 0.0010 |  | 1089 | See |  |  | |
 | Japan Central | | 0.0010 |  | 371 | See |  |  | |
 | Japan pop 3 | | 0.0010 |  | 1018 | See |  |  | |
 | Germany DKMS - Netherlands minority | | 0.0011 |  | 1374 | See |  |  | |
 | USA Mexican American Mestizo | | 0.0010 |  | 553 | See |  |  | |
 | USA NMDP American Indian South or Central America | | 0.0010 |  | 5926 | See |  |  | |
 | Mexico Jalisco Rural | | 0.0009 |  | 585 | See |  |  |
|
 | Mexico Veracruz Rural | | 0.0009 |  | 539 | See |  |  |
|
 | USA NMDP Caribean Black | | 0.0009 |  | 33328 | See |  |  | |
 | USA African American pop 4 | | 0.0008 |  | 2411 | See |  |  | |
 | Mexico Tlaxcala Rural | | 0.0006 |  | 830 | See |  |  |
|
 | Mexico Puebla Rural | | 0.0006 |  | 833 | See |  |  |
|
 | USA NMDP Japanese | | 0.0006 |  | 24582 | See |  |  | |
 | Mexico Puebla, Puebla city | | 0.0005 |  | 1994 | See |  |  |
|
 | USA NMDP Middle Eastern or North Coast of Africa | | 0.0004 |  | 70890 | See |  |  | |
 | USA NMDP African | | 0.0004 |  | 28557 | See |  |  | |
 | Mexico Jalisco, Guadalajara city | | 0.0004 |  | 1189 | See |  |  |
|
 | Germany DKMS - Italy minority | | 0.0004 |  | 1159 | See |  |  | |
 | USA NMDP African American pop 2 | | 0.0003 |  | 416581 | See |  |  | |
 | Japan pop 16 | | 0.0003 |  | 18604 | See |  |  | |
 | USA NMDP Mexican or Chicano | | 0.0003 |  | 261235 | See |  |  | |
 | USA NMDP Hispanic South or Central American | | 0.0003 |  | 146714 | See |  |  | |
 | Belgium | 0.1 | 0.0003 |  | 31412 | See |  |  |
|
 | Israel Morocco Jews | | 0.0003 |  | 36718 | See |  |  |
|
 | USA NMDP North American Amerindian | | 0.0002 |  | 35791 | See |  |  | |
 | USA Hispanic pop 2 | | 0.0003 |  | 1999 | See |  |  | |
 | Germany DKMS - Greece minority | | 0.0003 |  | 1894 | See |  |  | |
 | Germany DKMS - Turkey minority | | 0.0002 |  | 4856 | See |  |  | |
 | Germany pop 8 | | 0.0002 |  | 39689 | See |  |  | |
 | Israel Kavkazi Jews | | 0.0002 |  | 2840 | See |  |  |
|
 | USA NMDP Caribean Hispanic | | 0.0002 |  | 115374 | See |  |  | |
 | Israel Tunisia Jews | | 0.0001 |  | 9070 | See |  |  |
|
 | Czech Republic NMDR | | 0.0001 |  | 5099 | See |  |  | |
 | Germany pop 6 | | 0.0002 |  | 8862 | See |  |  | |
 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0 | 0.0001 |  | 4335 | See |  |  |
|
 | Germany DKMS - German donors | | 0.0001 |  | 3456066 | See |  |  |
|
 | Israel Iraq Jews | | 0.0001 |  | 13270 | See |  |  |
|
 | Israel Poland Jews | | 0.0001 |  | 13871 | See |  |  |
|
 | Israel USA Jews | | 0.0001 |  | 6058 | See |  |  |
|
 | Israel Georgia Jews | | 0.0000 |  | 4471 | See |  |  |
|
 | USA NMDP European Caucasian | | 0.0000 |  | 1242890 | See |  |  | |
 | Israel YemenJews | | 0.0000 |  | 15542 | See |  |  |
|
 | Israel Iran Jews | | 0.0000 |  | 8153 | See |  |  |
|
 | Israel USSR Jews | | 0.0000 |  | 45681 | See |  |  |
|
 | Italy Bergamo | 0.0 | 0.0000 |  | 101 | 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 |  |  | |
 | Mexico Oaxaca Rural | | 0.0000 |  | 485 | See |  |  |
|
 | Mexico Morelos Rural | | 0.0000 |  | 30 | See |  |  |
|
 | Mexico Tabasco Rural | | 0.0000 |  | 142 | See |  |  |
|
 | Mexico Queretaro Rural | | 0.0000 |  | 43 | See |  |  |
|
 | Mexico Mexico City Metropolitan Area Rural | | 0.0000 |  | 150 | See |  |  |
|
 | Mexico Sinaloa Mestizo | | 0.0000 |  | 56 | 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 Chihuahua Chihuahua City | | 0.0000 |  | 119 | 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 Zacatecas, Fresnillo | | 0.0000 |  | 103 | 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 Jalisco, Zapopan | | 0.0000 |  | 168 | See |  |  |
|
 | Mexico Jalisco, Tonala | | 0.0000 |  | 35 | See |  |  |
|
 | Mexico Jalisco, Tlaquepaque | | 0.0000 |  | 39 | See |  |  |
|
 | Mexico Jalisco, Tlajomulco | | 0.0000 |  | 30 | 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 |  |  |
|
 | Cuba Mixed Race | 0.0 | 0.0000 |  | 42 | See |  |  | |
 | Cuba Caucasian | 0.0 | 0.0000 |  | 70 | See |  |  | |
 | Czech Republic | | 0.0000 |  | 106 | See |  |  | |
 | Croatia | | 0.0000 |  | 150 | See |  |  | |
 | India West Coast Parsi | | 0.0000 |  | 50 | See |  |  | |
 | Burkina Faso Fulani | | 0.0000 |  | 49 | See |  |  | |
 | Burkina Faso Rimaibe | | 0.0000 |  | 47 | See |  |  | |
 | Bulgaria | | 0.0000 |  | 55 | See |  |  | |
 | Brazil Belo Horizonte Caucasian | 0.0 | 0.0000 |  | 95 | See |  |  | |
 | Australia Yuendumu Aborigine | | 0.0000 |  | 191 | See |  |  | |
 | Australia New South Wales Caucasian | | 0.0000 |  | 134 | See |  |  | |
 | China Tibet Region Tibetan | | 0.0000 |  | 158 | See |  |  | |
 | USA North American Native | | 0.0000 |  | 187 | See |  |  | |
 | South Africa Natal Zulu | 0.0 | 0.0000 |  | 100 | See |  |  | |
 | USA Caucasian Bethesda | 0.0 | 0.0000 |  | 307 | See |  |  | |
 | USA African American Bethesda | 0.0 | 0.0000 |  | 187 | See |  |  | |
 | USA Philadelphia Caucasian | 0.0 | 0.0000 |  | 141 | See |  |  | |
 | USA Hispanic | | 0.0000 |  | 234 | See |  |  | |
 | USA Caucasian pop 2 | | 0.0000 |  | 265 | See |  |  | |
 | USA San Antonio Caucasian | | 0.0000 |  | 222 | See |  |  | |
 | USA South Texas Hispanic | | 0.0000 |  | 194 | 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 Thao | 0.0 | 0.0000 |  | 30 | 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 |  |  | |
 | Mexico Nayarit, Tepic | | 0.0000 |  | 97 | See |  |  |
|
 | Mexico Chihuahua Rural | | 0.0000 |  | 236 | See |  |  |
|
 | Mexico Sonora Rural | | 0.0000 |  | 197 | See |  |  |
|
 | Mexico San Luis Potosi Rural | | 0.0000 |  | 87 | See |  |  |
|
 | Mexico Guanajuato Rural | | 0.0000 |  | 162 | See |  |  |
|
 | Mexico Colima Rural | | 0.0000 |  | 43 | See |  |  |
|
 | Mexico Zacatecas Rural | | 0.0000 |  | 266 | See |  |  |
|
 | Mexico Nayarit Rural | | 0.0000 |  | 64 | See |  |  |
|
 | Mexico Veracruz, Poza Rica | | 0.0000 |  | 45 | See |  |  |
|
 | Mexico Oaxaca, Oaxaca city | | 0.0000 |  | 151 | See |  |  |
|
 | Mexico Guerrero state | | 0.0000 |  | 144 | 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 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 Mexico City Center | | 0.0000 |  | 152 | See |  |  |
|
 | Mexico Tlaxcala, Tlaxcala city | | 0.0000 |  | 181 | See |  |  |
|
 | Mexico Mexico City South | | 0.0000 |  | 52 | 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 Morelos, Cuernavaca | | 0.0000 |  | 82 | See |  |  |
|
 | Ireland Northern | 0.0 | 0.0000 |  | 1000 | See |  |  | |
 | Netherlands Leiden | | 0.0000 |  | 1305 | See |  |  | |
 | Oman | 0.0 | 0.0000 |  | 118 | See |  |  | |
 | Poland DKMS | | 0.0000 |  | 20653 | See |  |  | |
 | Romania | 0.0 | 0.0000 |  | 348 | 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.