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Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
24,901 |
A*36:01 | | Cameroon Bakola Pygmy | 2.0 | 0.0100 | | 50 | See | | | |
24,902 |
A*36:01 | | Cameroon Bamileke | | 0.0260 | | 77 | See | | | |
24,903 |
A*36:01 | | Cameroon Beti | | 0.0370 | | 174 | See | | | |
24,904 |
A*36:01 | | Cameroon Sawa | | 0 | | 13 | See | | | |
24,905 |
A*36:01 | | Cameroon Yaounde | | 0.0220 | | 92 | See | | | |
24,906 |
A*36:01 | | Central African Republic Mbenzele Pygmy | 0.0 | 0 | | 36 | See | | | |
24,907 |
A*36:01 | | China North Han | | 0 | | 105 | See | | | |
24,908 |
A*36:01 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
24,909 |
A*36:01 | | Colombia Bogotá Cord Blood | 0.1 | 0.0007 | | 1,463 | See | | | |
24,910 |
A*36:01 | | Colombia North Wiwa El Encanto | | 0.0096 | | 52 | See | | |
|
24,911 |
A*36:01 | | Costa Rica African -Caribbean (G) | 5.0 (*) | 0.0250 (*) | | 102 | See | | |
|
24,912 |
A*36:01 | | Costa Rica Amerindians (G) | 0.8 (*) | 0.0040 (*) | | 125 | See | | |
|
24,913 |
A*36:01 | | Costa Rica Central Valley Mestizo (G) | 0.4 (*) | 0.0020 (*) | | 221 | See | | |
|
24,914 |
A*36:01 | | Costa Rica Guanacaste Mestizo (G) | 3.6 (*) | 0.0180 (*) | | 110 | See | | |
|
24,915 |
A*36:01 | | Croatia | | 0 | | 150 | See | | | |
24,916 |
A*36:01 | | Cuba Caucasian | 0.0 | 0 | | 70 | See | | | |
24,917 |
A*36:01 | | Cuba Mixed Race | 0.0 | 0 | | 42 | See | | | |
24,918 |
A*36:01 | | Czech Republic | | 0 | | 106 | See | | | |
24,919 |
A*36:01 | | France Corsica Island | | 0 | | 100 | See | | | |
24,920 |
A*36:01 | | Germany DKMS - Bosnia and Herzegovina minority | | 0.0005 | | 1,028 | See | | | |
24,921 |
A*36:01 | | Germany DKMS - German donors | | 0.0000730 | | 3,456,066 | See | | |
|
24,922 |
A*36:01 | | Germany DKMS - Netherlands minority | | 0.0004 | | 1,374 | See | | | |
24,923 |
A*36:01 | | Germany DKMS - Portugal minority | | 0.0017 | | 1,176 | See | | | |
24,924 |
A*36:01 | | Germany DKMS - Turkey minority | | 0.0003 | | 4,856 | See | | | |
24,925 |
A*36:01 | | Germany DKMS - United Kingdom minority | | 0.0005 | | 1,043 | See | | | |
24,926 |
A*36:01 | | Germany pop 6 | | 0.0001 | | 8,862 | See | | | |
24,927 |
A*36:01 | | Germany pop 8 | | 0.0000400 | | 39,689 | See | | | |
24,928 |
A*36:01 | | Ghana Ga-Adangbe | 1.5 | 0.0076 | | 131 | See | | | |
24,929 |
A*36:01 | | Hong Kong Chinese | 0.0 | 0 | | 569 | See | | | |
24,930 |
A*36:01 | | India Mumbai Maratha | | 0 | | 91 | See | | | |
24,931 |
A*36:01 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
24,932 |
A*36:01 | | Israel Arab pop 2 | | 0.0022 | | 12,301 | See | | |
|
24,933 |
A*36:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0040 | | 146 | See | | | |
24,934 |
A*36:01 | | Israel Ashkenazi Jews pop 3 | | 0.0000220 | | 4,625 | See | | |
|
24,935 |
A*36:01 | | Israel Druze | | 0.0155 | | 5,914 | See | | |
|
24,936 |
A*36:01 | | Israel Georgia Jews | | 0.0003 | | 4,471 | See | | |
|
24,937 |
A*36:01 | | Israel Iran Jews | | 0.0000120 | | 8,153 | See | | |
|
24,938 |
A*36:01 | | Israel Iraq Jews | | 0.0000380 | | 13,270 | See | | |
|
24,939 |
A*36:01 | | Israel Libya Jews | | 0.0000270 | | 3,739 | See | | |
|
24,940 |
A*36:01 | | Israel Morocco Jews | | 0.0000140 | | 36,718 | See | | |
|
24,941 |
A*36:01 | | Israel Tunisia Jews | | 0.0002 | | 9,070 | See | | |
|
24,942 |
A*36:01 | | Israel USA Jews | | 0.0000500 | | 6,058 | See | | |
|
24,943 |
A*36:01 | | Israel USSR Jews | | 0.0000020 | | 45,681 | See | | |
|
24,944 |
A*36:01 | | Israel YemenJews | | 0.0000060 | | 15,542 | See | | |
|
24,945 |
A*36:01 | | Italy pop 5 | | 0.0010 | | 975 | See | | | |
24,946 |
A*36:01 | | Italy Sardinia pop3 | | 0 | | 100 | See | | | |
24,947 |
A*36:01 | | Jordan Amman | | 0.0240 | | 146 | See | | | |
24,948 |
A*36:01 | | Kenya | | 0.0700 | | 144 | See | | | |
24,949 |
A*36:01 | | Kenya Luo | | 0.0300 | | 265 | See | | | |
24,950 |
A*36:01 | | Kenya Nandi | | 0.0130 | | 240 | See | | | |
24,951 |
A*36:01 | | Kenya, Nyanza Province, Luo tribe | 5.0 | 0.0250 | | 100 | See | | |
|
24,952 |
A*36:01 | | Madeira | | 0.0030 | | 185 | See | | | |
24,953 |
A*36:01 | | Malaysia Peninsular Indian | 0.4 | 0.0018 | | 271 | See | | |
|
24,954 |
A*36:01 | | Mali Bandiagara | | 0 | | 138 | See | | | |
24,955 |
A*36:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.0050 | | 103 | See | | | |
24,956 |
A*36:01 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
24,957 |
A*36:01 | | Mexico Mexico City Mestizo population | | 0.0035 | | 143 | See | | |
|
24,958 |
A*36:01 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
24,959 |
A*36:01 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
24,960 |
A*36:01 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
24,961 |
A*36:01 | | Nicaragua Managua | 0.6 | 0.0030 | | 339 | See | | |
|
24,962 |
A*36:01 | | Oman | 0.9 | 0.0040 | | 118 | See | | | |
24,963 |
A*36:01 | | Pakistan Baloch | | 0 | | 66 | See | | | |
24,964 |
A*36:01 | | Pakistan Brahui | | 0 | | 104 | See | | | |
24,965 |
A*36:01 | | Pakistan Burusho | | 0 | | 92 | See | | | |
24,966 |
A*36:01 | | Pakistan Kalash | | 0 | | 69 | See | | | |
24,967 |
A*36:01 | | Pakistan Karachi Parsi | | 0 | | 91 | See | | | |
24,968 |
A*36:01 | | Pakistan Mixed Pathan | | 0 | | 100 | See | | | |
24,969 |
A*36:01 | | Pakistan Mixed Sindhi | | 0 | | 101 | See | | | |
24,970 |
A*36:01 | | Panama | | 0.0045 | | 462 | See | | |
|
24,971 |
A*36:01 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
24,972 |
A*36:01 | | Poland DKMS | | 0.0000200 | | 20,653 | See | | | |
24,973 |
A*36:01 | | Romania | 0.0 | 0 | | 348 | See | | | |
24,974 |
A*36:01 | | Rwanda | | 0.0300 | | 280 | See | | | |
24,975 |
A*36:01 | | Sao Tome Island Angolar | | 0.0630 | | 32 | See | | | |
24,976 |
A*36:01 | | Sao Tome Island Forro | | 0.0300 | | 66 | See | | | |
24,977 |
A*36:01 | | Saudi Arabia pop 6 (G) | | 0.0017 (*) | | 28,927 | See | | | |
24,978 |
A*36:01 | | Scotland Orkney | 0.0 | 0 | | 99 | See | | | |
24,979 |
A*36:01 | | Singapore Chinese | 0.0 | 0 | | 149 | See | | | |
24,980 |
A*36:01 | | South Africa Caucasians | | 0 | | 102 | See | | | |
24,981 |
A*36:01 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
24,982 |
A*36:01 | | South Africa Worcester | 1.0 | 0.0060 | | 159 | See | | |
|
24,983 |
A*36:01 | | South African Black | 1.4 | 0.0070 | | 142 | See | | |
|
24,984 |
A*36:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
24,985 |
A*36:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0700 | 0.0003 | | 4,335 | See | | |
|
24,986 |
A*36:01 | | Spain Catalonia Girona | | 0 | | 88 | See | | | |
24,987 |
A*36:01 | | Spain Gipuzkoa Basque | | 0 | | 100 | See | | | |
24,988 |
A*36:01 | | Spain Majorca and Minorca | | 0 | | 90 | See | | | |
24,989 |
A*36:01 | | Spain, Canary Islands, Gran canaria island | 0.5 | 0.0023 | | 215 | See | | |
|
24,990 |
A*36:01 | | Sudan Central Shaigiya Mixed | 2.7 | 0.0135 | | 36 | See | | | |
24,991 |
A*36:01 | | Sudan Mixed | 0.5 | 0.0030 | | 200 | See | | | |
24,992 |
A*36:01 | | Sudan South Nuba | 2.2 | 0.0110 | | 46 | See | | | |
24,993 |
A*36:01 | | Taiwan Ami | 0.0 | 0 | | 98 | See | | | |
24,994 |
A*36:01 | | Taiwan Atayal | 0.0 | 0 | | 106 | See | | | |
24,995 |
A*36:01 | | Taiwan Bunun | 0.0 | 0 | | 101 | See | | | |
24,996 |
A*36:01 | | Taiwan Hakka | 0.0 | 0 | | 55 | See | | | |
24,997 |
A*36:01 | | Taiwan Minnan pop 1 | 0.0 | 0 | | 102 | See | | | |
24,998 |
A*36:01 | | Taiwan Paiwan | 0.0 | 0 | | 51 | See | | | |
24,999 |
A*36:01 | | Taiwan Pazeh | 0.0 | 0 | | 55 | See | | | |
25,000 |
A*36:01 | | Taiwan Puyuma | 0.0 | 0 | | 50 | 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.