Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
| Saudi Arabia | 11.1 | 0.0571 | | 18 | See | | | |
| Canada Ojibwa NA-DHS_4 (G) | 6.7 | 0.0333 | | 16 | See | | |
|
| Brazil Mixed | | 0.0220 | | 108 | See | | | |
| Senegal Niokholo Mandenka | | 0.0160 | | 165 | See | | | |
| Sudan Mixed | 3.0 | 0.0150 | | 200 | See | | | |
| South Africa Worcester | 3.0 | 0.0130 | | 159 | See | | |
|
| Cameroon Bamileke | | 0.0130 | | 77 | See | | | |
| Gaza | 2.4 | 0.0119 | | 42 | See | | |
|
| Spain, Canary Islands, Gran canaria island | 2.3 | 0.0116 | | 215 | See | | |
|
| Ghana Ga-Adangbe | 2.3 | 0.0115 | | 131 | See | | | |
| Zimbabwe Harare Shona | | 0.0110 | | 230 | See | | | |
| Cameroon Bakola Pygmy | 2.0 | 0.0100 | | 50 | See | | | |
| Costa Rica African -Caribbean (G) | 2.0 | 0.0100 | | 102 | See | | |
|
| Costa Rica Guanacaste Mestizo (G) | 1.8 | 0.0090 | | 110 | See | | |
|
| USA African American pop 3 | | 0.0090 | | 564 | See | | | |
| Uganda Kampala | | 0.0090 | | 161 | See | | | |
| Portugal Azores Terceira Island | 1.8 | 0.0088 | | 130 | See | | |
|
| Guinea Bissau | | 0.0080 | | 65 | See | | | |
| Cape Verde Southeastern Islands | | 0.0080 | | 62 | See | | | |
| Azores Terceira Island | | 0.0080 | | 130 | See | | | |
| USA NMDP Caribean Black | | 0.0076 | | 33328 | See | | | |
| USA NMDP African American pop 2 | | 0.0073 | | 416581 | See | | | |
| USA African American pop 4 | | 0.0073 | | 2411 | See | | | |
| USA NMDP African | | 0.0070 | | 28557 | See | | | |
| Morocco Nador Metalsa pop 2 | | 0.0070 | | 73 | See | | | |
| Tunisia Gabes | | 0.0052 | | 95 | See | | | |
| Singapore Riau Malay | | 0.0050 | | 132 | See | | | |
| USA African American pop 8 | | 0.0050 | | 605 | See | | | |
| Kenya, Nyanza Province, Luo tribe | 1.0 | 0.0050 | | 100 | See | | |
|
| Israel Ashkenazi and Non Ashkenazi Jews | | 0.0050 | | 146 | See | | | |
| Kenya Luo | | 0.0040 | | 265 | See | | | |
| France Southeast | 0.8 | 0.0040 | | 130 | See | | | |
| Panama | | 0.0033 | | 462 | See | | |
|
| USA NMDP Caribean Hispanic | | 0.0031 | | 115374 | See | | | |
| Uganda Kampala pop 2 | | 0.0030 | | 175 | See | | | |
| Kenya | | 0.0030 | | 144 | See | | | |
| Jordan Amman | | 0.0030 | | 146 | See | | | |
| Cameroon Beti | | 0.0030 | | 174 | See | | | |
| Brazil Puyanawa | 0.7 | 0.0030 | | 150 | See | | |
|
| Mexico Chiapas Lacandon Mayans | | 0.0023 | | 218 | See | | |
|
| Ireland South | 0.4 | 0.0020 | | 250 | See | | | |
| United Arab Emirates Pop 1 | | 0.0020 | | 570 | See | | |
|
| USA NMDP Caribean Indian | | 0.0020 | | 14339 | See | | | |
| USA San Diego | 0.3 | 0.0020 | | 496 | See | | |
|
| USA Hispanic pop 2 | | 0.0020 | | 1999 | See | | | |
| USA NMDP Hispanic South or Central American | | 0.0019 | | 146714 | See | | | |
| Tanzania Maasai | 0.3 | 0.0015 | | 336 | See | | |
|
| Nicaragua Managua | 0.3 | 0.0015 | | 339 | See | | |
|
| Colombia Bogotá Cord Blood | 0.2 | 0.0014 | | 1463 | See | | | |
| USA NMDP Mexican or Chicano | | 0.0010 | | 261235 | See | | | |
| Germany DKMS - United Kingdom minority | | 0.0010 | | 1043 | See | | | |
| Israel Tunisia Jews | | 0.0007 | | 9070 | See | | |
|
| Israel Arab pop 2 | | 0.0005 | | 12301 | See | | |
|
| Israel YemenJews | | 0.0005 | | 15542 | See | | |
|
| Czech Republic NMDR | | 0.0004 | | 5099 | See | | | |
| Germany DKMS - Austria minority | | 0.0003 | | 1698 | See | | | |
| USA NMDP Middle Eastern or North Coast of Africa | | 0.0003 | | 70890 | See | | | |
| USA NMDP North American Amerindian | | 0.0002 | | 35791 | See | | | |
| Israel Argentina Jews | | 0.0002 | | 4307 | See | | |
|
| Israel Bukhara Jews | | 0.0002 | | 2317 | See | | |
|
| Germany DKMS - Greece minority | | 0.0003 | | 1894 | See | | | |
| Belgium | 0.0 | 0.0002 | | 31412 | See | | |
|
| Israel USA Jews | | 0.0002 | | 6058 | See | | |
|
| Germany DKMS - German donors | | 0.0001 | | 3456066 | See | | |
|
| USA NMDP Filipino | | 0.0001 | | 50614 | See | | | |
| USA NMDP European Caucasian | | 0.0001 | | 1242890 | See | | | |
| Poland DKMS | | 0.0001 | | 20653 | See | | | |
| Germany DKMS - Turkey minority | | 0.0001 | | 4856 | See | | | |
| Germany pop 8 | | 0.0001 | | 39689 | See | | | |
| Germany pop 6 | | 0.0001 | | 8862 | See | | | |
| Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0 | 0.0001 | | 4335 | See | | |
|
| Israel Libya Jews | | 0.0001 | | 3739 | See | | |
|
| USA NMDP Southeast Asian | | 0.0001 | | 27978 | See | | | |
| Israel Morocco Jews | | 0.0000 | | 36718 | See | | |
|
| USA NMDP Chinese | | 0.0000 | | 99672 | See | | | |
| USA NMDP Vietnamese | | 0.0000 | | 43540 | See | | | |
| USA NMDP South Asian Indian | | 0.0000 | | 185391 | See | | | |
| Israel USSR Jews | | 0.0000 | | 45681 | See | | |
|
| Israel Kavkazi Jews | | 0.0000 | | 2840 | See | | |
|
| Italy pop 5 | | 0.0000 | | 975 | See | | | |
| Kenya Nandi | | 0.0000 | | 240 | See | | | |
| Romania | 0.0 | 0.0000 | | 348 | See | | | |
| Mali Bandiagara | | 0.0000 | | 138 | See | | | |
| Philippines Ivatan | 0.0 | 0.0000 | | 50 | See | | | |
| Ireland Northern | 0.0 | 0.0000 | | 1000 | See | | | |
| Netherlands Leiden | | 0.0000 | | 1305 | See | | | |
| Oman | 0.0 | 0.0000 | | 118 | See | | | |
| South Korea pop 3 | | 0.0000 | | 485 | See | | | |
| Morocco Settat Chaouya | 0.0 | 0.0000 | | 98 | See | | | |
| Mexico Mestizo | 0.0 | 0.0000 | | 41 | See | | | |
| France Grenoble, Nantes and Rennes | | 0.0000 | | 6094 | See | | | |
| Hong Kong Chinese | 0.0 | 0.0000 | | 569 | See | | | |
| Cape Verde Northwestern Islands | | 0.0000 | | 62 | See | | | |
| Bulgaria | | 0.0000 | | 55 | See | | | |
| Brazil Belo Horizonte Caucasian | 0.0 | 0.0000 | | 95 | See | | | |
| Central African Republic Mbenzele Pygmy | 0.0 | 0.0000 | | 36 | See | | | |
| China North Han | | 0.0000 | | 105 | See | | | |
| China Tibet Region Tibetan | | 0.0000 | | 158 | See | | | |
| Cameroon Sawa | | 0.0000 | | 13 | See | | | |
| Cameroon Baka Pygmy | | 0.0000 | | 10 | See | | | |
| Cuba Mixed Race | 0.0 | 0.0000 | | 42 | See | | | |
| Cuba Caucasian | 0.0 | 0.0000 | | 70 | See | | | |
| Czech Republic | | 0.0000 | | 106 | See | | | |
| USA European American pop 2 | | 0.0000 | | 1245 | See | | | |
| South Africa Natal Zulu | 0.0 | 0.0000 | | 100 | See | | | |
| South Africa Caucasians | | 0.0000 | | 102 | See | | | |
| USA Asian pop 2 | | 0.0000 | | 1772 | See | | | |
| Zambia Lusaka | | 0.0000 | | 44 | See | | | |
| Singapore Chinese | 0.0 | 0.0000 | | 149 | See | | | |
| Scotland Orkney | 0.0 | 0.0000 | | 99 | 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 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 | | | |
| 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 | | | |
* 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.