Please specify your search by selecting options from boxes. Then, click "Search" to find HLA allele frequencies
that match your criteria. Remember at least one option must be selected.
Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
25,101 |
A*36:01 | | Israel Morocco Jews | | 0.0000140 | | 36,718 | See | | |
|
25,102 |
A*36:01 | | Israel Tunisia Jews | | 0.0002 | | 9,070 | See | | |
|
25,103 |
A*36:01 | | Israel USA Jews | | 0.0000500 | | 6,058 | See | | |
|
25,104 |
A*36:01 | | Israel USSR Jews | | 0.0000020 | | 45,681 | See | | |
|
25,105 |
A*36:01 | | Israel YemenJews | | 0.0000060 | | 15,542 | See | | |
|
25,106 |
A*36:01 | | Italy pop 5 | | 0.0010 | | 975 | See | | | |
25,107 |
A*36:01 | | Italy Sardinia pop3 | | 0 | | 100 | See | | | |
25,108 |
A*36:01 | | Jordan Amman | | 0.0240 | | 146 | See | | | |
25,109 |
A*36:01 | | Kenya | | 0.0700 | | 144 | See | | | |
25,110 |
A*36:01 | | Kenya Luo | | 0.0300 | | 265 | See | | | |
25,111 |
A*36:01 | | Kenya Nandi | | 0.0130 | | 240 | See | | | |
25,112 |
A*36:01 | | Kenya, Nyanza Province, Luo tribe | 5.0 | 0.0250 | | 100 | See | | |
|
25,113 |
A*36:01 | | Madeira | | 0.0030 | | 185 | See | | | |
25,114 |
A*36:01 | | Malaysia Peninsular Indian | 0.4 | 0.0018 | | 271 | See | | |
|
25,115 |
A*36:01 | | Mali Bandiagara | | 0 | | 138 | See | | | |
25,116 |
A*36:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.0050 | | 103 | See | | | |
25,117 |
A*36:01 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
25,118 |
A*36:01 | | Mexico Mexico City Mestizo population | | 0.0035 | | 143 | See | | |
|
25,119 |
A*36:01 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
25,120 |
A*36:01 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
25,121 |
A*36:01 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
25,122 |
A*36:01 | | Nicaragua Managua | 0.6 | 0.0030 | | 339 | See | | |
|
25,123 |
A*36:01 | | Oman | 0.9 | 0.0040 | | 118 | See | | | |
25,124 |
A*36:01 | | Pakistan Baloch | | 0 | | 66 | See | | | |
25,125 |
A*36:01 | | Pakistan Brahui | | 0 | | 104 | See | | | |
25,126 |
A*36:01 | | Pakistan Burusho | | 0 | | 92 | See | | | |
25,127 |
A*36:01 | | Pakistan Kalash | | 0 | | 69 | See | | | |
25,128 |
A*36:01 | | Pakistan Karachi Parsi | | 0 | | 91 | See | | | |
25,129 |
A*36:01 | | Pakistan Mixed Pathan | | 0 | | 100 | See | | | |
25,130 |
A*36:01 | | Pakistan Mixed Sindhi | | 0 | | 101 | See | | | |
25,131 |
A*36:01 | | Panama | | 0.0045 | | 462 | See | | |
|
25,132 |
A*36:01 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
25,133 |
A*36:01 | | Poland DKMS | | 0.0000200 | | 20,653 | See | | | |
25,134 |
A*36:01 | | Romania | 0.0 | 0 | | 348 | See | | | |
25,135 |
A*36:01 | | Rwanda | | 0.0300 | | 280 | See | | | |
25,136 |
A*36:01 | | Sao Tome Island Angolar | | 0.0630 | | 32 | See | | | |
25,137 |
A*36:01 | | Sao Tome Island Forro | | 0.0300 | | 66 | See | | | |
25,138 |
A*36:01 | | Saudi Arabia pop 6 (G) | | 0.0017 (*) | | 28,927 | See | | | |
25,139 |
A*36:01 | | Scotland Orkney | 0.0 | 0 | | 99 | See | | | |
25,140 |
A*36:01 | | Singapore Chinese | 0.0 | 0 | | 149 | See | | | |
25,141 |
A*36:01 | | South Africa Caucasians | | 0 | | 102 | See | | | |
25,142 |
A*36:01 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
25,143 |
A*36:01 | | South Africa Worcester | 1.0 | 0.0060 | | 159 | See | | |
|
25,144 |
A*36:01 | | South African Black | 1.4 | 0.0070 | | 142 | See | | |
|
25,145 |
A*36:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
25,146 |
A*36:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0700 | 0.0003 | | 4,335 | See | | |
|
25,147 |
A*36:01 | | Spain Catalonia Girona | | 0 | | 88 | See | | | |
25,148 |
A*36:01 | | Spain Gipuzkoa Basque | | 0 | | 100 | See | | | |
25,149 |
A*36:01 | | Spain Majorca and Minorca | | 0 | | 90 | See | | | |
25,150 |
A*36:01 | | Spain, Canary Islands, Gran canaria island | 0.5 | 0.0023 | | 215 | See | | |
|
25,151 |
A*36:01 | | Sudan Central Shaigiya Mixed | 2.7 | 0.0135 | | 36 | See | | | |
25,152 |
A*36:01 | | Sudan Mixed | 0.5 | 0.0030 | | 200 | See | | | |
25,153 |
A*36:01 | | Sudan South Nuba | 2.2 | 0.0110 | | 46 | See | | | |
25,154 |
A*36:01 | | Taiwan Ami | 0.0 | 0 | | 98 | See | | | |
25,155 |
A*36:01 | | Taiwan Atayal | 0.0 | 0 | | 106 | See | | | |
25,156 |
A*36:01 | | Taiwan Bunun | 0.0 | 0 | | 101 | See | | | |
25,157 |
A*36:01 | | Taiwan Hakka | 0.0 | 0 | | 55 | See | | | |
25,158 |
A*36:01 | | Taiwan Minnan pop 1 | 0.0 | 0 | | 102 | See | | | |
25,159 |
A*36:01 | | Taiwan Paiwan | 0.0 | 0 | | 51 | See | | | |
25,160 |
A*36:01 | | Taiwan Pazeh | 0.0 | 0 | | 55 | See | | | |
25,161 |
A*36:01 | | Taiwan Puyuma | 0.0 | 0 | | 50 | See | | | |
25,162 |
A*36:01 | | Taiwan Rukai | 0.0 | 0 | | 50 | See | | | |
25,163 |
A*36:01 | | Taiwan Saisiat | 0.0 | 0 | | 51 | See | | | |
25,164 |
A*36:01 | | Taiwan Siraya | 0.0 | 0 | | 51 | See | | | |
25,165 |
A*36:01 | | Taiwan Tao | 0.0 | 0 | | 50 | See | | | |
25,166 |
A*36:01 | | Taiwan Taroko | 0.0 | 0 | | 55 | See | | | |
25,167 |
A*36:01 | | Taiwan Thao | 0.0 | 0 | | 30 | See | | | |
25,168 |
A*36:01 | | Taiwan Tsou | 0.0 | 0 | | 51 | See | | | |
25,169 |
A*36:01 | | Tanzania Maasai | 4.8 | 0.0269 | | 336 | See | | |
|
25,170 |
A*36:01 | | Tunisia | 3.0 | 0.0150 | | 100 | See | | | |
25,171 |
A*36:01 | | Tunisia Gabes | | 0.0052 | | 95 | See | | | |
25,172 |
A*36:01 | | Tunisia Ghannouch | | 0.0300 | | 82 | See | | | |
25,173 |
A*36:01 | | Tunisia pop 3 | | 0.0110 | | 104 | See | | | |
25,174 |
A*36:01 | | Uganda Kampala | | 0.0120 | | 161 | See | | | |
25,175 |
A*36:01 | | Uganda Kampala pop 2 | | 0.0290 | | 175 | See | | | |
25,176 |
A*36:01 | | United Arab Emirates Pop 1 | | 0.0050 | | 570 | See | | |
|
25,177 |
A*36:01 | | USA African American | | 0.0320 | | 252 | See | | | |
25,178 |
A*36:01 | | USA African American Bethesda | 7.9 | 0.0500 | | 187 | See | | | |
25,179 |
A*36:01 | | USA African American pop 2 | | 0.0200 | | 149 | See | | | |
25,180 |
A*36:01 | | USA African American pop 3 | | 0.0310 | | 564 | See | | | |
25,181 |
A*36:01 | | USA African American pop 4 | | 0.0241 | | 2,411 | See | | | |
25,182 |
A*36:01 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
25,183 |
A*36:01 | | USA Asian | | 0 | | 358 | See | | | |
25,184 |
A*36:01 | | USA Asian pop 2 | | 0 | | 1,772 | See | | | |
25,185 |
A*36:01 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
25,186 |
A*36:01 | | USA Caucasian pop 2 | | 0 | | 265 | See | | | |
25,187 |
A*36:01 | | USA Caucasian pop 3 | | 0 | | 88 | See | | | |
25,188 |
A*36:01 | | USA Caucasian pop 4 | | 0 | | 1,070 | See | | | |
25,189 |
A*36:01 | | USA Eastern European | | 0.0010 | | 558 | See | | | |
25,190 |
A*36:01 | | USA Hispanic | | 0.0040 | | 234 | See | | | |
25,191 |
A*36:01 | | USA Hispanic pop 2 | | 0.0028 | | 1,999 | See | | | |
25,192 |
A*36:01 | | USA Mexican American Mestizo | | 0.0040 | | 553 | See | | | |
25,193 |
A*36:01 | | USA NMDP African | | 0.0295 | | 28,557 | See | | | |
25,194 |
A*36:01 | | USA NMDP African American pop 2 | | 0.0253 | | 416,581 | See | | | |
25,195 |
A*36:01 | | USA NMDP American Indian South or Central America | | 0.0020 | | 5,926 | See | | | |
25,196 |
A*36:01 | | USA NMDP Caribean Black | | 0.0335 | | 33,328 | See | | | |
25,197 |
A*36:01 | | USA NMDP Caribean Hispanic | | 0.0040 | | 115,374 | See | | | |
25,198 |
A*36:01 | | USA NMDP Caribean Indian | | 0.0060 | | 14,339 | See | | | |
25,199 |
A*36:01 | | USA NMDP Chinese | | 0.0000350 | | 99,672 | See | | | |
25,200 |
A*36:01 | | USA NMDP European Caucasian | | 0.0001 | | 1,242,890 | See | | | |
Notes:
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* % of individuals that have the allele: Percentage of individuals who have the allele in the population (Individuals / n).
* Allele Frequencies shown in
green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
AF = 1-square_root(1-PF)
PF = 1-(1-AF)
2
AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
* Allele Frequencies marked with (*) were calculated from all alleles in the corresponding
G group.
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.
ª Notes - See notes for ambiguous combinations of alleles.