Population |
Phenotype Frequency (%) |
Allele Frequency (in_decimals) |
Sample Size |
IMGT/HLA¹ Database |
Distribution² |
Haplotype³ Association |
Notesª |
| Singapore Thai | | 0.0350 | | 100 | See | | | |
| Singapore Javaneses | | 0.0200 | | 51 | See | | | |
| Singapore Riau Malay | | 0.0150 | | 132 | See | | | |
| Zambia Lusaka | | 0.0110 | | 44 | See | | | |
| Uganda Kampala pop 2 | | 0.0110 | | 175 | See | | | |
| Serbia pop 2 | 2.0 | 0.0100 | | 102 | See | | | |
| Iran Baloch | | 0.0100 | | 100 | See | | | |
| Kenya, Nyanza Province, Luo tribe | 2.0 | 0.0100 | | 100 | See | | |
|
| Bulgaria | | 0.0090 | | 55 | See | | | |
| Greece pop 6 | | 0.0071 | | 242 | See | | | |
| Greece pop 8 | 1.2 | 0.0060 | | 83 | See | | | |
| Kenya Luo | | 0.0060 | | 265 | See | | | |
| Singapore Chinese Han | | 0.0060 | | 94 | See | | | |
| Germany DKMS - Croatia minority | | 0.0058 | | 2057 | See | | | |
| Russia Bashkortostan, Tatars | 1.0 | 0.0052 | | 192 | See | | |
|
| Belgium | 1.0 | 0.0050 | | 99 | See | | | |
| Germany DKMS - Greece minority | | 0.0048 | | 1894 | See | | | |
| Russia Bashkortostan, Bashkirs | 0.8 | 0.0042 | | 120 | See | | |
|
| France Southeast | 0.8 | 0.0040 | | 130 | See | | | |
| Germany DKMS - Bosnia and Herzegovina minority | | 0.0039 | | 1028 | See | | | |
| Uganda Kampala | | 0.0030 | | 161 | See | | | |
| Tanzania Maasai | 0.6 | 0.0030 | | 336 | See | | |
|
| Poland DKMS | | 0.0029 | | 20653 | See | | | |
| Germany DKMS - Italy minority | | 0.0026 | | 1159 | See | | | |
| Poland BMR | 0.5 | 0.0024 | | 23595 | See | | |
|
| Czech Republic NMDR | | 0.0020 | | 5099 | See | | | |
| Italy pop 5 | | 0.0020 | | 975 | See | | | |
| USA Eastern European | | 0.0020 | | 558 | See | | | |
| China South Han | | 0.0020 | | 284 | See | | | |
| China Canton Han | | 0.0020 | | 264 | See | | | |
| Germany DKMS - Romania minority | | 0.0016 | | 1234 | See | | | |
| Russia Karelia | | 0.0014 | | 1075 | See | | |
|
| Germany DKMS - France minority | | 0.0011 | | 1406 | See | | | |
| USA European American pop 2 | | 0.0010 | | 1245 | See | | | |
| Ireland Northern | 0.1 | 0.0010 | | 1000 | See | | | |
| England Blood Donors of Mixed Ethnicity | 0.2 | 0.0010 | | 519 | See | | |
|
| Germany pop 8 | | 0.0010 | | 39689 | See | | | |
| Russia Nizhny Novgorod, Russians | 0.2 | 0.0010 | | 1510 | See | | |
|
| Germany DKMS - German donors | | 0.0009 | | 3456066 | See | | |
|
| USA Caucasian pop 4 | | 0.0009 | | 1070 | See | | | |
| Germany DKMS - Portugal minority | | 0.0010 | | 1176 | See | | | |
| Germany pop 6 | | 0.0006 | | 8862 | See | | | |
| Belgium | 0.1 | 0.0005 | | 31412 | See | | |
|
| Germany DKMS - United Kingdom minority | | 0.0005 | | 1043 | See | | | |
| Colombia Bogotá Cord Blood | 0.1 | 0.0003 | | 1463 | See | | | |
| Germany DKMS - Netherlands minority | | 0.0004 | | 1374 | See | | | |
| USA NMDP Middle Eastern or North Coast of Africa | | 0.0003 | | 70890 | See | | | |
| Croatia pop 4 | | 0.0002 | | 4000 | See | | | |
| Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1 | 0.0002 | | 4335 | See | | |
|
| Germany DKMS - Turkey minority | | 0.0002 | | 4856 | See | | | |
| USA Hispanic pop 2 | | 0.0003 | | 1999 | See | | | |
| Israel USSR Jews | | 0.0002 | | 45681 | See | | |
|
| Israel Poland Jews | | 0.0002 | | 13871 | See | | |
|
| USA NMDP European Caucasian | | 0.0001 | | 1242890 | See | | | |
| USA NMDP African | | 0.0001 | | 28557 | See | | | |
| Israel Argentina Jews | | 0.0001 | | 4307 | See | | |
|
| Israel Ashkenazi Jews pop 3 | | 0.0001 | | 4625 | See | | |
|
| USA NMDP Caribean Hispanic | | 0.0001 | | 115374 | See | | | |
| USA NMDP Caribean Black | | 0.0001 | | 33328 | See | | | |
| USA NMDP Mexican or Chicano | | 0.0001 | | 261235 | See | | | |
| Saudi Arabia pop 6 (G) | | 0.0001 | | 28927 | See | | | |
| USA NMDP Hawaiian or other Pacific Islander | | 0.0000 | | 11499 | See | | | |
| Israel Tunisia Jews | | 0.0000 | | 9070 | See | | |
|
| USA NMDP Hispanic South or Central American | | 0.0000 | | 146714 | See | | | |
| Israel Morocco Jews | | 0.0000 | | 36718 | See | | |
|
| USA NMDP North American Amerindian | | 0.0000 | | 35791 | See | | | |
| USA NMDP African American pop 2 | | 0.0000 | | 416581 | See | | | |
| USA NMDP Chinese | | 0.0000 | | 99672 | See | | | |
| Netherlands Leiden | | 0.0000 | | 1305 | See | | | |
| USA African American pop 8 | | 0.0000 | | 605 | See | | | |
| USA African American pop 4 | | 0.0000 | | 2411 | See | | | |
| USA Asian pop 2 | | 0.0000 | | 1772 | See | | | |
| China Tibet Region Tibetan | | 0.0000 | | 158 | See | | | |
| Morocco Nador Metalsa pop 2 | | 0.0000 | | 73 | See | | | |
| South Korea pop 3 | | 0.0000 | | 485 | See | | | |
| USA Philadelphia Caucasian | 0.0 | 0.0000 | | 141 | See | | | |
| China North Han | | 0.0000 | | 105 | See | | | |
| Hong Kong Chinese | 0.0 | 0.0000 | | 569 | See | | | |
| Mali Bandiagara | | 0.0000 | | 138 | See | | | |
| Romania | 0.0 | 0.0000 | | 348 | See | | | |
| USA Caucasian Bethesda | 0.0 | 0.0000 | | 307 | See | | | |
| USA African American Bethesda | 0.0 | 0.0000 | | 187 | See | | | |
| Czech Republic | | 0.0000 | | 106 | See | | | |
| Morocco Settat Chaouya | 0.0 | 0.0000 | | 98 | See | | | |
| Kenya Nandi | | 0.0000 | | 240 | See | | | |
| Croatia | | 0.0000 | | 150 | See | | | |
| Italy North pop 3 | 0.0 | 0.0000 | | 97 | See | | | |
| Italy Bergamo | 0.0 | 0.0000 | | 101 | See | | | |
| USA San Antonio Caucasian | | 0.0000 | | 222 | See | | | |
| USA South Texas Hispanic | | 0.0000 | | 194 | See | | | |
| USA Alaska Yupik | | 0.0000 | | 252 | 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 | | | |
| Philippines Ivatan | 0.0 | 0.0000 | | 50 | See | | | |
| Brazil Belo Horizonte Caucasian | 0.0 | 0.0000 | | 95 | See | | | |
| Cuba Mixed Race | 0.0 | 0.0000 | | 42 | See | | | |
| Cuba Caucasian | 0.0 | 0.0000 | | 70 | See | | | |
| Mexico Mestizo | 0.0 | 0.0000 | | 41 | See | | | |
| Oman | 0.0 | 0.0000 | | 118 | See | | | |
| Singapore Chinese | 0.0 | 0.0000 | | 149 | See | | | |
| South Africa Natal Zulu | 0.0 | 0.0000 | | 100 | 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.