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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 |
1,101 |
A*02:05 | | Germany DKMS - Italy minority | | 0.0224 | | 1,159 | See | | | |
1,102 |
A*02:05 | | Germany DKMS - Netherlands minority | | 0.0051 | | 1,374 | See | | | |
1,103 |
A*02:05 | | Germany DKMS - Portugal minority | | 0.0179 | | 1,176 | See | | | |
1,104 |
A*02:05 | | Germany DKMS - Romania minority | | 0.0073 | | 1,234 | See | | | |
1,105 |
A*02:05 | | Germany DKMS - Spain minority | | 0.0122 | | 1,107 | See | | | |
1,106 |
A*02:05 | | Germany DKMS - Turkey minority | | 0.0181 | | 4,856 | See | | | |
1,107 |
A*02:05 | | Germany DKMS - United Kingdom minority | | 0.0086 | | 1,043 | See | | | |
1,108 |
A*02:05 | | Germany pop 6 | | 0.0064 | | 8,862 | See | | | |
1,109 |
A*02:05 | | Ghana Ga-Adangbe | 2.3 | 0.0153 | | 131 | See | | | |
1,110 |
A*02:05 | | Greece pop 6 | | 0.0062 | | 242 | See | | | |
1,111 |
A*02:05 | | Guinea Bissau | | 0 | | 65 | See | | | |
1,112 |
A*02:05 | | Guinea Bissau Balanta | | 0.0100 | | 48 | See | | | |
1,113 |
A*02:05 | | Guinea Bissau Bijago | | 0.0220 | | 23 | See | | | |
1,114 |
A*02:05 | | Guinea Bissau Fula | | 0 | | 31 | See | | | |
1,115 |
A*02:05 | | Guinea Bissau Papel | | 0 | | 25 | See | | | |
1,116 |
A*02:05 | | India Delhi pop 2 | 2.2 | 0.0110 | | 90 | See | | | |
1,117 |
A*02:05 | | India North pop 2 | | 0.0100 | | 72 | See | | | |
1,118 |
A*02:05 | | Iran Baloch | | 0.0060 | | 100 | See | | | |
1,119 |
A*02:05 | | Ireland Northern | 2.4 | 0.0120 | | 1,000 | See | | | |
1,120 |
A*02:05 | | Italy Bergamo | 4.0 | 0.0210 | | 101 | See | | | |
1,121 |
A*02:05 | | Italy North pop 3 | 11.5 | 0.0580 | | 97 | See | | | |
1,122 |
A*02:05 | | Italy pop 5 | | 0.0230 | | 975 | See | | | |
1,123 |
A*02:05 | | Kenya Luo | | 0.0260 | | 265 | See | | | |
1,124 |
A*02:05 | | Kenya Nandi | | 0.0870 | | 240 | See | | | |
1,125 |
A*02:05 | | Madeira | | 0.0220 | | 185 | See | | | |
1,126 |
A*02:05 | | Mali Bandiagara | | 0.0220 | | 138 | See | | | |
1,127 |
A*02:05 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
1,128 |
A*02:05 | | Mexico Mexico City Mestizo pop 2 | | 0.0171 | | 234 | See | | | |
1,129 |
A*02:05 | | Mexico Oaxaca Mixtec | | 0.0100 | | 103 | See | | | |
1,130 |
A*02:05 | | Mexico Oaxaca Zapotec | | 0 | | 90 | See | | | |
1,131 |
A*02:05 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
1,132 |
A*02:05 | | Morocco Settat Chaouya | 2.8 | 0.0140 | | 98 | See | | | |
1,133 |
A*02:05 | | Oman | 4.2 | 0.0210 | | 118 | See | | | |
1,134 |
A*02:05 | | Pakistan Baloch | | 0 | | 66 | See | | | |
1,135 |
A*02:05 | | Pakistan Brahui | | 0.0060 | | 104 | See | | | |
1,136 |
A*02:05 | | Pakistan Burusho | | 0 | | 92 | See | | | |
1,137 |
A*02:05 | | Pakistan Kalash | | 0 | | 69 | See | | | |
1,138 |
A*02:05 | | Pakistan Karachi Parsi | | 0.0060 | | 91 | See | | | |
1,139 |
A*02:05 | | Pakistan Mixed Pathan | | 0.0050 | | 100 | See | | | |
1,140 |
A*02:05 | | Pakistan Mixed Sindhi | | 0.0250 | | 101 | See | | | |
1,141 |
A*02:05 | | Poland | | 0.0100 | | 200 | See | | | |
1,142 |
A*02:05 | | Poland DKMS | | 0.0066 | | 20,653 | See | | | |
1,143 |
A*02:05 | | Portugal Center | | 0.0100 | | 50 | See | | | |
1,144 |
A*02:05 | | Portugal North | | 0.0110 | | 46 | See | | | |
1,145 |
A*02:05 | | Portugal South | | 0.0100 | | 49 | See | | | |
1,146 |
A*02:05 | | Russia Tuva pop 2 | | 0.0080 | | 169 | See | | | |
1,147 |
A*02:05 | | Sao Tome Island Angolar | | 0.0160 | | 32 | See | | | |
1,148 |
A*02:05 | | Sao Tome Island Forro | | 0.0380 | | 66 | See | | | |
1,149 |
A*02:05 | | Senegal Niokholo Mandenka | | 0.0110 | | 165 | See | | | |
1,150 |
A*02:05 | | Singapore Chinese | 0.0 | 0 | | 149 | See | | | |
1,151 |
A*02:05 | | South Africa Natal Zulu | 11.0 | 0.0550 | | 100 | See | | | |
1,152 |
A*02:05 | | South Korea pop 3 | | 0 | | 485 | See | | | |
1,153 |
A*02:05 | | Spain Catalonia Girona | | 0.0230 | | 88 | See | | | |
1,154 |
A*02:05 | | Spain Gipuzkoa Basque | | 0.0100 | | 100 | See | | | |
1,155 |
A*02:05 | | Taiwan pop 2 | | 0.0020 | | 364 | See | | | |
1,156 |
A*02:05 | | Taiwan Tzu Chi Cord Blood Bank | | 0 | | 710 | See | | | |
1,157 |
A*02:05 | | Thailand Northeast | | 0.0040 | | 66 | See | | | |
1,158 |
A*02:05 | | Thailand Northeast pop 2 | | 0.0020 | | 400 | See | | | |
1,159 |
A*02:05 | | Tunisia | 5.0 | 0.0250 | | 100 | See | | | |
1,160 |
A*02:05 | | Uganda Kampala | | 0.0220 | | 161 | See | | | |
1,161 |
A*02:05 | | Uganda Kampala pop 2 | | 0.0140 | | 175 | See | | | |
1,162 |
A*02:05 | | USA African American pop 2 | | 0.0170 | | 149 | See | | | |
1,163 |
A*02:05 | | USA African American pop 3 | | 0.0220 | | 564 | See | | | |
1,164 |
A*02:05 | | USA African American pop 4 | | 0.0187 | | 2,411 | See | | | |
1,165 |
A*02:05 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
1,166 |
A*02:05 | | USA Asian pop 2 | | 0.0034 | | 1,772 | See | | | |
1,167 |
A*02:05 | | USA Caucasian pop 3 | | 0.0110 | | 88 | See | | | |
1,168 |
A*02:05 | | USA Caucasian pop 4 | | 0.0075 | | 1,070 | See | | | |
1,169 |
A*02:05 | | USA Eastern European | | 0.0160 | | 558 | See | | | |
1,170 |
A*02:05 | | USA Hispanic pop 2 | | 0.0148 | | 1,999 | See | | | |
1,171 |
A*02:05 | | USA Mexican American Mestizo | | 0.0140 | | 553 | See | | | |
1,172 |
A*02:05 | | USA San Francisco Caucasian | | 0.0090 | | 220 | See | | | |
1,173 |
A*02:05 | | Zambia Lusaka | | 0 | | 44 | See | | | |
1,174 |
A*02:05:01 | | Saudi Arabia pop 5 | 6.3 | 0.0380 | | 158 | See | | | |
1,175 |
A*02:05:01 | | USA San Francisco Caucasian | | 0.0090 | | 220 | See | | | |
1,176 |
A*02:05:03 | | Saudi Arabia pop 5 | 0.6 | 0.0032 | | 158 | See | | | |
1,177 |
A*02:06 | | Australia New South Wales Caucasian | | 0 | | 134 | See | | | |
1,178 |
A*02:06 | | Australia Yuendumu Aborigine | | 0 | | 191 | See | | | |
1,179 |
A*02:06 | | Brazil Belo Horizonte Caucasian | 0.0 | 0 | | 95 | See | | | |
1,180 |
A*02:06 | | Bulgaria | | 0 | | 55 | See | | | |
1,181 |
A*02:06 | | China Beijing | | 0.0480 | | 67 | See | | | |
1,182 |
A*02:06 | | China Beijing Shijiazhuang Tianjian Han | | 0.0470 | | 618 | See | | | |
1,183 |
A*02:06 | | China Canton Han | | 0.0380 | | 264 | See | | | |
1,184 |
A*02:06 | | China Guangxi Region Maonan | | 0.0460 | | 108 | See | | | |
1,185 |
A*02:06 | | China Guangzhou | | 0.0400 | | 102 | See | | | |
1,186 |
A*02:06 | | China North Han | | 0.0710 | | 105 | See | | | |
1,187 |
A*02:06 | | China Southwest Dai | | 0.0080 | | 124 | See | | | |
1,188 |
A*02:06 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
1,189 |
A*02:06 | | China Yunnan Province Han | | 0.0590 | | 101 | See | | | |
1,190 |
A*02:06 | | Cuba Caucasian | 0.0 | 0 | | 70 | See | | | |
1,191 |
A*02:06 | | Cuba Mixed Race | 0.0 | 0 | | 42 | See | | | |
1,192 |
A*02:06 | | Germany DKMS - Austria minority | | 0.0021 | | 1,698 | See | | | |
1,193 |
A*02:06 | | Germany DKMS - China minority | | 0.0543 | | 1,282 | See | | | |
1,194 |
A*02:06 | | Germany DKMS - Croatia minority | | 0.0015 | | 2,057 | See | | | |
1,195 |
A*02:06 | | Germany DKMS - France minority | | 0.0023 | | 1,406 | See | | | |
1,196 |
A*02:06 | | Germany DKMS - Greece minority | | 0.0005 | | 1,894 | See | | | |
1,197 |
A*02:06 | | Germany DKMS - Italy minority | | 0.0004 | | 1,159 | See | | | |
1,198 |
A*02:06 | | Germany DKMS - Netherlands minority | | 0.0022 | | 1,374 | See | | | |
1,199 |
A*02:06 | | Germany DKMS - Portugal minority | | 0.0006 | | 1,176 | See | | | |
1,200 |
A*02:06 | | Germany DKMS - Romania minority | | 0.0012 | | 1,234 | 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.
Displaying 1,101 to 1,200
(from 60,683) records |
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