Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
| Ecuador African | | 0.1030 | | 58 | See | | | |
| Malaysia Perak Grik Jehai | | 0.0830 | | 25 | See | | | |
| Tanzania Maasai | 12.8 | 0.0672 | | 336 | See | | |
|
| Gambia pop 3 | 11.9 | 0.0624 | | 939 | See | | |
|
| Malaysia Sarawak Bau Bidayuh | | 0.0600 | | 25 | See | | | |
| Rwanda | | 0.0570 | | 280 | See | | | |
| Rwanda Kigali Hutu and Tutsi | | 0.0570 | | 281 | See | | | |
| Kenya, Nyanza Province, Luo tribe | 11.0 | 0.0550 | | 100 | See | | |
|
| Kenya | | 0.0530 | | 144 | See | | | |
| Uganda Baganda | | 0.0530 | | 47 | See | | | |
| Gambia | | 0.0440 | | 146 | See | | | |
| Congo Kinshasa Bantu | 7.8 | 0.0440 | | 90 | See | | | |
| China, Xinjiang Uyghur Autonomous Region Han | 8.6 | 0.0429 | | 70 | See | | |
|
| Mongolia Tsaatan | | 0.0420 | | 144 | See | | | |
| Russia Tuva pop 2 | | 0.0410 | | 169 | See | | | |
| China, Xinjiang Uyghur Autonomous Region Hui | 7.5 | 0.0375 | | 40 | See | | |
|
| South Korea pop 3 | | 0.0370 | | 485 | See | | | |
| South Korea pop 4 | 7.1 | 0.0361 | | 211 | See | | | |
| Cameroon Saa | | 0.0350 | | 172 | See | | | |
| USA African American pop 4 | | 0.0347 | | 2411 | See | | | |
| Ecuador African pop2 | | 0.0333 | | 45 | See | | | |
| South Africa Worcester | 6.0 | 0.0320 | | 159 | See | | |
|
| Taiwan pop 2 | | 0.0320 | | 364 | See | | | |
| Slovenia | 6.0 | 0.0304 | | 100 | See | | | |
| Tunisia | 6.0 | 0.0300 | | 100 | See | | | |
| Singapore SGVP Chinese CHS | | 0.0290 | | 96 | See | | |
|
| China, Xinjiang Uyghur Autonomous Region Kazakh | 5.8 | 0.0288 | | 52 | See | | |
|
| Mexico Oaxaca Zapotec | | 0.0280 | | 90 | See | | | |
| USA African American pop 7 | | 0.0280 | | 193 | See | | | |
| Kosovo | 4.8 | 0.0242 | | 124 | See | | |
|
| Tunisia Ghannouch | | 0.0240 | | 82 | See | | | |
| South Korea pop 2 | 4.3 | 0.0240 | | 207 | See | | | |
| Brazil Southeast Mixed Race | 4.8 | 0.0240 | | 42 | See | | | |
| Chile Mapuche | | 0.0238 | | 66 | See | | |
|
| Sri Lanka Colombo | 4.6 | 0.0230 | | 714 | See | | |
|
| Taiwan Han Chinese | | 0.0220 | | 504 | See | | | |
| Zimbabwe Harare Shona | | 0.0220 | | 230 | See | | | |
| China Marrow Donor Registry | | 0.0220 | | 600 | See | | | |
| China Zhejiang Han pop 2 | | 0.0210 | | 833 | See | | |
|
| USA Southern California Mestizo | 4.1 | 0.0207 | | 73 | See | | | |
| China Hubei Han | 4.1 | 0.0204 | | 3732 | See | | |
|
| Singapore SGVP. Indian INS | | 0.0200 | | 86 | See | | |
|
| Vietnam Hanoi Kinh | | 0.0200 | | 103 | See | | | |
| Cameroon | | 0.0190 | | 126 | See | | | |
| Brazil Southeast Caucasian | 3.9 | 0.0190 | | 103 | See | | | |
| China Canton Han | | 0.0190 | | 264 | See | | | |
| USA Asian pop 2 | | 0.0189 | | 1772 | See | | | |
| USA NMDP Vietnamese | | 0.0183 | | 43540 | See | | | |
| Morocco Atlantic Coast Chaouya | | 0.0180 | | 98 | See | | | |
| Russia Tuva | | 0.0180 | | 190 | See | | | |
| Morocco Settat Chaouya | 3.6 | 0.0180 | | 98 | See | | | |
| England North West | 3.0 | 0.0170 | | 298 | See | | | |
| Netherlands | 3.3 | 0.0166 | | 447 | See | | | |
| France Southeast | 3.1 | 0.0160 | | 130 | See | | | |
| Saudi Arabia Guraiat and Hail | 3.2 | 0.0160 | | 213 | See | | | |
| USA NMDP Caribean Indian | | 0.0160 | | 14339 | See | | | |
| Hong Kong Chinese HKBMDR. DQ and DP | 3.1 | 0.0155 | | 1064 | See | | |
|
| China Inner Mongolia Autonomous Region Northeast | 3.0 | 0.0150 | | 496 | See | | | |
| Ireland Donegal | 3.0 | 0.0150 | | 200 | See | | | |
| Mongolia Khalkha | | 0.0150 | | 200 | See | | | |
| Algeria Oran | | 0.0150 | | 100 | See | | | |
| Vietnam Kinh DQB1 | 1.7 | 0.0149 | | 2076 | See | | |
|
| Malaysia Peninsular Indian | 3.0 | 0.0148 | | 271 | See | | |
|
| Switzerland Graubunden | | 0.0147 | | 759 | See | | | |
| China, Xinjiang Uyghur Autonomous Region Uyghur | 2.8 | 0.0141 | | 71 | See | | |
|
| USA NMDP American Indian South or Central America | | 0.0140 | | 5926 | See | | | |
| Spain Tenerife Island | | 0.0140 | | 83 | See | | |
|
| USA San Francisco Caucasian | | 0.0140 | | 220 | See | | | |
| Tunisia pop 3 | | 0.0140 | | 104 | See | | | |
| USA Philadelphia Caucasian | 2.8 | 0.0140 | | 141 | See | | | |
| China Lijiang Naxi | | 0.0140 | | 100 | See | | | |
| India South UCBB | 2.7 | 0.0136 | | 11446 | See | | |
|
| Ecuadorean Amerindians | | 0.0133 | | 75 | See | | |
|
| Portugal Azores Terceira Island | 2.6 | 0.0132 | | 130 | See | | |
|
| India West UCBB | 2.6 | 0.0130 | | 5829 | See | | |
|
| Saudi Arabia pop 5 | 2.5 | 0.0127 | | 158 | See | | | |
| India North UCBB | 2.5 | 0.0123 | | 5849 | See | | |
|
| Malaysia Peninsular Malay | 2.4 | 0.0121 | | 951 | See | | |
|
| Azores Terceira Island | | 0.0120 | | 130 | See | | | |
| Greece pop2 | 2.4 | 0.0120 | | 120 | See | | | |
| Tunisia Matmata Berber | | 0.0120 | | 81 | See | | | |
| Thailand pop 2 | | 0.0120 | | 124 | See | | | |
| United Arab Emirates Pop 1 | | 0.0120 | | 570 | See | | |
|
| Colombia Bogotá Cord Blood | 2.3 | 0.0116 | | 1463 | See | | | |
| Switzerland Lugano | | 0.0114 | | 1169 | See | | | |
| Singapore SGVP Malay MAS | | 0.0110 | | 89 | See | | |
|
| USA San Diego | 2.2 | 0.0110 | | 496 | See | | |
|
| India Tamil Nadu | | 0.0105 | | 2492 | See | | |
|
| India Central UCBB | 2.1 | 0.0102 | | 4204 | See | | |
|
| Argentina Mapuche | | 0.0100 | | 48 | See | | | |
| Peru Arequipa Mestizo | 2.1 | 0.0100 | | 168 | See | | | |
| France West | 2.0 | 0.0100 | | 100 | See | | | |
| Italy Rome | 2.0 | 0.0100 | | 100 | See | | | |
| Panama | | 0.0098 | | 462 | See | | |
|
| Colombia North Wiwa El Encanto | | 0.0096 | | 52 | See | | |
|
| USA NMDP Hispanic South or Central American | | 0.0093 | | 146714 | See | | | |
| Belgium | 1.8 | 0.0092 | | 31412 | See | | |
|
| Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 1.8 | 0.0090 | | 4335 | See | | |
|
| USA Caucasian pop 5 | | 0.0090 | | 268 | See | | | |
| China Yunnan Province Yao | | 0.0090 | | 66 | See | | | |
| Brazil Paraná Caucasian | 1.7 | 0.0086 | | 641 | See | | |
|
| India East UCBB | 1.7 | 0.0085 | | 2403 | See | | |
|
| Mexico Sinaloa Capomos Mayo Yoremes | | 0.0083 | | 60 | See | | | |
| Greece pop 6 | | 0.0083 | | 242 | See | | | |
| Germany DKMS - Italy minority | | 0.0082 | | 1159 | See | | | |
| Croatia Gorski Kotar Region | | 0.0080 | | 63 | See | | | |
| Poland | | 0.0080 | | 200 | See | | | |
| China Yunnan Province Bai | | 0.0080 | | 128 | See | | | |
| China Wanwei, Wutou and Shanxin Islands Jing | | 0.0080 | | 138 | See | | | |
| Czech Republic pop 3 | 1.7 | 0.0080 | | 180 | See | | |
|
| Ireland Northern pop 2 | 1.6 | 0.0080 | | 122 | See | | | |
| India Bombay | | 0.0080 | | 59 | See | | | |
| Spain Murcia | | 0.0080 | | 173 | See | | | |
| Netherlands UMCU | 1.6 | 0.0078 | | 64 | See | | | |
| Malaysia Peninsular Chinese | 1.6 | 0.0077 | | 194 | See | | |
|
| Switzerland Basel | | 0.0073 | | 1888 | See | | | |
| Netherlands Leiden | | 0.0070 | | 1305 | See | | | |
| Italy pop 5 | | 0.0070 | | 975 | See | | | |
| Spain Granada | | 0.0070 | | 280 | See | | | |
| Mexico Nahua/Aztec Santo Domingo Ocotitlan | | 0.0068 | | 73 | See | | |
|
| USA Hispanic pop 2 | | 0.0065 | | 1999 | See | | | |
| Switzerland Bern | | 0.0062 | | 3545 | See | | | |
| Greece pop 8 | 1.2 | 0.0060 | | 83 | See | | | |
| Spain Andalusia Romani | | 0.0060 | | 99 | See | | | |
| Madeira pop 2 | | 0.0060 | | 173 | See | | | |
| Italy North pop 3 | 1.0 | 0.0060 | | 97 | See | | | |
| Italy Bergamo | 1.0 | 0.0060 | | 101 | See | | | |
| Japan Fukuoka | | 0.0060 | | 86 | See | | | |
| Mexico Veracruz Xalapa | 1.2 | 0.0060 | | 84 | See | | |
|
| Mexico Mestizo pop 4 | | 0.0058 | | 269 | See | | | |
| Switzerland Geneva pop 2 | | 0.0057 | | 1267 | See | | | |
| Switzerland Luzern | | 0.0057 | | 1553 | See | | | |
| Japan pop 17 | | 0.0052 | | 3078 | See | | | |
| Germany DKMS - Turkey minority | | 0.0051 | | 4856 | See | | | |
| India Northeast UCBB | 1.0 | 0.0051 | | 296 | See | | |
|
| Austria | 1.0 | 0.0050 | | 200 | See | | | |
| China pop1 | 1.0 | 0.0050 | | 103 | See | | | |
| Mexico Oaxaca Mixtec | | 0.0050 | | 103 | See | | | |
| USA South Texas Hispanic | | 0.0050 | | 194 | See | | | |
| China Yunnan Province Nu | | 0.0050 | | 107 | See | | | |
| China Shandong Province Han | | 0.0050 | | 98 | See | | | |
| Morocco | | 0.0050 | | 96 | See | | | |
| Germany DKMS - German donors | | 0.0048 | | 3456066 | See | | |
|
| Russia Karelia | | 0.0047 | | 1075 | See | | |
|
| Germany pop 3 | 0.9 | 0.0045 | | 111 | See | | | |
| USA San Antonio Caucasian | | 0.0045 | | 222 | See | | | |
| Switzerland St Gallen | | 0.0044 | | 2113 | See | | | |
| Georgia Caucasus Tbilisi | | 0.0042 | | 119 | See | | |
|
| Czech Republic NMDR | | 0.0041 | | 5099 | See | | | |
| France Ceph | | 0.0040 | | 124 | See | | | |
| Japan Central | | 0.0040 | | 371 | See | | | |
| Cretan Islanders | | 0.0040 | | 124 | See | | |
|
| Nicaragua Managua | 0.8 | 0.0039 | | 339 | See | | |
|
| Slovenia pop 2 | 0.7 | 0.0035 | | 140 | See | | | |
| Mexico Mexico City Mestizo population | | 0.0035 | | 143 | See | | |
|
| Mexico Mexico City Tlalpan | 0.6 | 0.0030 | | 330 | See | | |
|
| Ireland Wexford | 0.5 | 0.0030 | | 200 | See | | | |
| Macedonia pop 3 | | 0.0030 | | 172 | See | | | |
| Mexico Highlands Mestizos | 0.6 | 0.0030 | | 160 | See | | | |
| USA NMDP Hawaiian or other Pacific Islander | | 0.0027 | | 11499 | See | | | |
| USA NMDP Alaska Native or Aleut | | 0.0020 | | 1376 | See | | | |
| Ireland South | 0.4 | 0.0020 | | 250 | See | | | |
| Switzerland Zurich | | 0.0019 | | 4875 | See | | | |
| Switzerland Sion | | 0.0000 | | 832 | See | | | |
| Switzerland Lausanne | | 0.0000 | | 993 | See | | | |
| Brazil South Caucasian | | 0.0000 | | 73 | See | | | |
| China Yunnan Province Lahu | | 0.0000 | | 70 | See | | | |
| China Yunnan Province Drung | | 0.0000 | | 70 | See | | | |
| Switzerland Aargau-Solothurn | | 0.0000 | | 1838 | See | | | |
| Mexico Nuevo Leon Mestizo | 0.0 | 0.0000 | | 40 | See | | | |
| China Guizhou Province Miao | | 0.0000 | | 85 | See | | | |
| Tunisia Gabes Arab | | 0.0000 | | 96 | See | | | |
| Papua New Guinea Highland pop2 | | 0.0000 | | 28 | See | | | |
| Tunisia Jerba Berber | | 0.0000 | | 55 | See | | | |
| Central African Republic Aka Pygmy | 0.0 | 0.0000 | | 93 | See | | | |
| Colombia Bogota and Medellin Mestizo | | 0.0000 | | 65 | See | | | |
| China Urumqi Uyghur | 0.0 | 0.0000 | | 57 | See | | | |
| Argentina Kolla | | 0.0000 | | 61 | See | | | |
| Jamaica | | 0.0000 | | 132 | See | | | |
| USA Alaska Yupik | | 0.0000 | | 252 | See | | | |
| Brazil North East Mixed | | 0.0000 | | 205 | See | | | |
| Mongolia Oold | | 0.0000 | | 104 | See | | | |
| Brazil Guarani M bya | | 0.0000 | | 93 | See | | | |
| Brazil Kaingang | | 0.0000 | | 235 | 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.