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 |
133,001 |
DRB1*10:01 | | Mongolia Oold | | 0.0190 | | 104 | See | | | |
133,002 |
DRB1*10:01 | | Mongolia Tarialan Khoton | | 0.0300 | | 85 | See | | | |
133,003 |
DRB1*10:01 | | Mongolia Tsaatan | | 0.0760 | | 144 | See | | | |
133,004 |
DRB1*10:01 | | Mongolia Ulaanbaatar Khalkha | | 0.0240 | | 41 | See | | | |
133,005 |
DRB1*10:01 | | Morocco | | 0.0310 | | 96 | See | | | |
133,006 |
DRB1*10:01 | | Morocco Atlantic Coast Chaouya | | 0.0450 | | 98 | See | | | |
133,007 |
DRB1*10:01 | | Morocco Nador Metalsa | | 0.0250 | | 99 | See | | | |
133,008 |
DRB1*10:01 | | Morocco Settat Chaouya | | 0.0460 | | 98 | See | | | |
133,009 |
DRB1*10:01 | | Morocco Souss Region | | 0.0310 | | 98 | See | | | |
133,010 |
DRB1*10:01 | | Nauru | | 0 | | 67 | See | | | |
133,011 |
DRB1*10:01 | | Netherlands | 1.3 | 0.0065 | | 447 | See | | | |
133,012 |
DRB1*10:01 | | Netherlands Leiden | | 0.0160 | | 1,305 | See | | | |
133,013 |
DRB1*10:01 | | Nicaragua Managua | 3.6 | 0.0180 | | 339 | See | | |
|
133,014 |
DRB1*10:01 | | Niue | | 0 | | 70 | See | | | |
133,015 |
DRB1*10:01 | | Norway | | 0.0100 | | 181 | See | | | |
133,016 |
DRB1*10:01 | | Pakistan Baloch | | 0.0190 | | 66 | See | | | |
133,017 |
DRB1*10:01 | | Pakistan Brahui | | 0.0250 | | 104 | See | | | |
133,018 |
DRB1*10:01 | | Pakistan Burusho | | 0.0650 | | 92 | See | | | |
133,019 |
DRB1*10:01 | | Pakistan Kalash | | 0.0510 | | 69 | See | | | |
133,020 |
DRB1*10:01 | | Pakistan Karachi Parsi | | 0.0110 | | 91 | See | | | |
133,021 |
DRB1*10:01 | | Pakistan Mixed Pathan | | 0.0500 | | 100 | See | | | |
133,022 |
DRB1*10:01 | | Pakistan Mixed Sindhi | | 0.0300 | | 101 | See | | | |
133,023 |
DRB1*10:01 | | Panama | | 0.0150 | | 462 | See | | |
|
133,024 |
DRB1*10:01 | | Papua New Guinea East New Britain Tolai | | 0 | | 48 | See | | | |
133,025 |
DRB1*10:01 | | Papua New Guinea Highland | | 0 | | 94 | See | | | |
133,026 |
DRB1*10:01 | | Papua New Guinea Highland pop2 | | 0 | | 28 | See | | | |
133,027 |
DRB1*10:01 | | Papua New Guinea Lowland | | 0 | | 47 | See | | | |
133,028 |
DRB1*10:01 | | Papua New Guinea Lowland Roro | | 0 | | 26 | See | | | |
133,029 |
DRB1*10:01 | | Papua New Guinea Lowland Wosera | | 0 | | 79 | See | | | |
133,030 |
DRB1*10:01 | | Papua New Guinea Trobriand Island | | 0 | | 81 | See | | | |
133,031 |
DRB1*10:01 | | Paraguay Lengua | | 0 | | 17 | See | | | |
133,032 |
DRB1*10:01 | | Philippines | | 0.0150 | | 34 | See | | | |
133,033 |
DRB1*10:01 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
133,034 |
DRB1*10:01 | | Poland | | 0.0230 | | 200 | See | | | |
133,035 |
DRB1*10:01 | | Poland DKMS | | 0.0093 | | 20,653 | See | | | |
133,036 |
DRB1*10:01 | | Poland Wielkopolska Region | | 0.0100 | | 99 | See | | | |
133,037 |
DRB1*10:01 | | Portugal Azores Terceira Island | 1.8 | 0.0088 | | 130 | See | | |
|
133,038 |
DRB1*10:01 | | Portugal Center | | 0 | | 50 | See | | | |
133,039 |
DRB1*10:01 | | Portugal North | | 0 | | 46 | See | | | |
133,040 |
DRB1*10:01 | | Portugal South | | 0.0200 | | 49 | See | | | |
133,041 |
DRB1*10:01 | | Russia Bashkortostan, Bashkirs | 1.7 | 0.0083 | | 120 | See | | |
|
133,042 |
DRB1*10:01 | | Russia Bering Island Aleuts | | 0.0096 | | 104 | See | | |
|
133,043 |
DRB1*10:01 | | Russia Karelia | | 0.0117 | | 1,075 | See | | |
|
133,044 |
DRB1*10:01 | | Russia Northwest Slavic | | 0.0080 | | 200 | See | | | |
133,045 |
DRB1*10:01 | | Russia Sakhalin Island Nivkhi | | 0.0090 | | 53 | See | | | |
133,046 |
DRB1*10:01 | | Russia Siberia Chukchi | | 0.0080 | | 71 | See | | | |
133,047 |
DRB1*10:01 | | Russia Siberia Eskimo | | 0 | | 70 | See | | | |
133,048 |
DRB1*10:01 | | Russia Siberia Irkutsk Tofalar | | 0.0120 | | 43 | See | | | |
133,049 |
DRB1*10:01 | | Russia Siberia Khabarovsk Evenki | | 0 | | 25 | See | | | |
133,050 |
DRB1*10:01 | | Russia Siberia Khanty Mansi | | 0.0150 | | 68 | See | | | |
133,051 |
DRB1*10:01 | | Russia Siberia Kushun Buryat | | 0.0800 | | 25 | See | | | |
133,052 |
DRB1*10:01 | | Russia Siberia Negidal | | 0 | | 35 | See | | | |
133,053 |
DRB1*10:01 | | Russia Siberia Ulchi | | 0.0340 | | 73 | See | | | |
133,054 |
DRB1*10:01 | | Russia Transbaikal Territory Buryats | 6.0 | 0.0300 | | 150 | See | | |
|
133,055 |
DRB1*10:01 | | Russia Tuva | | 0.0330 | | 190 | See | | | |
133,056 |
DRB1*10:01 | | Russia Tuva pop 2 | | 0.0340 | | 169 | See | | | |
133,057 |
DRB1*10:01 | | Russia Tuva pop3 | | 0 | | 44 | See | | | |
133,058 |
DRB1*10:01 | | Russia Tuva Todja | | 0 | | 22 | See | | | |
133,059 |
DRB1*10:01 | | Rwanda | | 0.0360 | | 280 | See | | | |
133,060 |
DRB1*10:01 | | Rwanda Kigali Hutu and Tutsi | | 0.0360 | | 281 | See | | | |
133,061 |
DRB1*10:01 | | Samoa | | 0 | | 29 | See | | | |
133,062 |
DRB1*10:01 | | Samoa West | | 0 | | 22 | See | | | |
133,063 |
DRB1*10:01 | | Sao Tome Island Angolar | | 0.0160 | | 32 | See | | | |
133,064 |
DRB1*10:01 | | Sao Tome Island Forro | | 0.0230 | | 66 | See | | | |
133,065 |
DRB1*10:01 | | Saudi Arabia Guraiat and Hail | 3.4 | 0.0170 | | 213 | See | | | |
133,066 |
DRB1*10:01 | | Saudi Arabia pop 3 | | 0.0400 | | 50 | See | | | |
133,067 |
DRB1*10:01 | | Scotland Orkney | 1.0 | 0.0050 | | 99 | See | | | |
133,068 |
DRB1*10:01 | | Senegal Dakar | 33.3 | 0.1890 | | 112 | See | | | |
133,069 |
DRB1*10:01 | | Singapore Riau Malay | | 0.0090 | | 132 | See | | | |
133,070 |
DRB1*10:01 | | Singapore SGVP Chinese CHS | | 0 | | 96 | See | | |
|
133,071 |
DRB1*10:01 | | Singapore SGVP Malay MAS | | 0 | | 89 | See | | |
|
133,072 |
DRB1*10:01 | | Singapore SGVP. Indian INS | | 0.0640 | | 86 | See | | |
|
133,073 |
DRB1*10:01 | | Slovakia | | 0.0230 | | 146 | See | | | |
133,074 |
DRB1*10:01 | | Slovenia | 1.0 | 0.0050 | | 100 | See | | | |
133,075 |
DRB1*10:01 | | Slovenia pop 2 | 1.4 | 0.0070 | | 140 | See | | | |
133,076 |
DRB1*10:01 | | South Africa Caucasians | | 0 | | 102 | See | | | |
133,077 |
DRB1*10:01 | | South Africa Limpopo Venda | | 0.0040 | | 117 | See | | | |
133,078 |
DRB1*10:01 | | South Africa Worcester | 4.0 | 0.0190 | | 159 | See | | |
|
133,079 |
DRB1*10:01 | | South Korea pop 1 | | 0.0140 | | 324 | See | | | |
133,080 |
DRB1*10:01 | | South Korea pop 10 | | 0.0164 | | 4,128 | See | | | |
133,081 |
DRB1*10:01 | | South Korea pop 11 | | 0.0030 | | 149 | See | | | |
133,082 |
DRB1*10:01 | | South Korea pop 2 | 4.3 | 0.0220 | | 207 | See | | | |
133,083 |
DRB1*10:01 | | South Korea pop 3 | | 0.0170 | | 485 | See | | | |
133,084 |
DRB1*10:01 | | South Korea pop 4 | 3.8 | 0.0191 | | 211 | See | | | |
133,085 |
DRB1*10:01 | | South Korea pop 6 | | 0.0120 | | 800 | See | | | |
133,086 |
DRB1*10:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 2.8 | 0.0140 | | 4,335 | See | | |
|
133,087 |
DRB1*10:01 | | Spain Andalusia | | 0.0150 | | 99 | See | | | |
133,088 |
DRB1*10:01 | | Spain Andalusia Romani | | 0.0460 | | 99 | See | | | |
133,089 |
DRB1*10:01 | | Spain Arratia Valley Basque | | 0.0130 | | 83 | See | | | |
133,090 |
DRB1*10:01 | | Spain Barcelona | 2.9 | 0.0140 | | 941 | See | | | |
133,091 |
DRB1*10:01 | | Spain Catalonia Girona | | 0 | | 88 | See | | | |
133,092 |
DRB1*10:01 | | Spain Gipuzkoa Basque | | 0 | | 100 | See | | | |
133,093 |
DRB1*10:01 | | Spain Granada | | 0.0200 | | 280 | See | | | |
133,094 |
DRB1*10:01 | | Spain Las Alpujarras | | 0.0235 | | 85 | See | | |
|
133,095 |
DRB1*10:01 | | Spain Murcia | | 0.0080 | | 173 | See | | | |
133,096 |
DRB1*10:01 | | Spain North Cabuerniga | | 0.0100 | | 95 | See | | | |
133,097 |
DRB1*10:01 | | Spain North Cantabria | | 0.0120 | | 83 | See | | | |
133,098 |
DRB1*10:01 | | Spain Pas Valley | | 0.0160 | | 88 | See | | | |
133,099 |
DRB1*10:01 | | Spain Tenerife Island | | 0.0140 | | 83 | See | | |
|
133,100 |
DRB1*10:01 | | Sri Lanka Colombo | 12.0 | 0.0640 | | 714 | 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.