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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 |
138,101 |
DRB1*12 | | Saudi Arabia pop 2 | | 0.0040 | | 383 | See | | | |
138,102 |
DRB1*12 | | Saudi Arabia pop 4 | 0.2 | 0.0010 | | 499 | See | | | |
138,103 |
DRB1*12 | | Serbia | | 0.0210 | | 386 | See | | | |
138,104 |
DRB1*12 | | Serbia pop 3 | 3.8 | 0.0191 | | 1,992 | See | | | |
138,105 |
DRB1*12 | | Serbia Vojvodina | 4.2 | 0.0210 | | 400 | See | | | |
138,106 |
DRB1*12 | | Slovakia | | 0.0150 | | 146 | See | | | |
138,107 |
DRB1*12 | | Slovakia pop 2 | | 0.0274 | | 4,234 | See | | | |
138,108 |
DRB1*12 | | South Africa Limpopo Venda | | 0.0130 | | 117 | See | | | |
138,109 |
DRB1*12 | | South Korea pop 8 | | 0.0800 | | 7,096 | See | | | |
138,110 |
DRB1*12 | | Spain Catalonia Girona | | 0 | | 88 | See | | | |
138,111 |
DRB1*12 | | Spain Gipuzkoa Basque | | 0 | | 100 | See | | | |
138,112 |
DRB1*12 | | Spain Ibiza | | 0.0080 | | 88 | See | | | |
138,113 |
DRB1*12 | | Spain Majorca | | 0.0090 | | 407 | See | | | |
138,114 |
DRB1*12 | | Spain Majorcans Jews | | 0.0060 | | 103 | See | | | |
138,115 |
DRB1*12 | | Spain Minorca | | 0 | | 94 | See | | | |
138,116 |
DRB1*12 | | Spain North | 3.0 | 0.0151 | | 156 | See | | | |
138,117 |
DRB1*12 | | Spain Northwest | 2.0 | 0.0100 | | 1,818 | See | | | |
138,118 |
DRB1*12 | | Spain Valencia | 1.9 | 0.0095 | | 577 | See | | | |
138,119 |
DRB1*12 | | Spain, Castilla y Leon, Northwest, | 2.9 | 0.0124 | | 1,743 | See | | |
|
138,120 |
DRB1*12 | | Sri Lanka Colombo Sinhalese | | 0.0300 | | 101 | See | | | |
138,121 |
DRB1*12 | | Sudan Central Shaigiya Mixed | 2.7 | 0.0135 | | 36 | See | | | |
138,122 |
DRB1*12 | | Sweden pop 4 | 4.0 | 0.0202 | | 966 | See | | | |
138,123 |
DRB1*12 | | Sweden pop 5 | | 0.0200 | | 1,569 | See | | | |
138,124 |
DRB1*12 | | Sweden Stockholm | 2.2 | 0.0190 | | 1,347 | See | | | |
138,125 |
DRB1*12 | | Switzerland Aargau-Solothurn | | 0.0180 | | 1,838 | See | | | |
138,126 |
DRB1*12 | | Switzerland Basel | | 0.0188 | | 1,888 | See | | | |
138,127 |
DRB1*12 | | Switzerland Bern | | 0.0159 | | 3,545 | See | | | |
138,128 |
DRB1*12 | | Switzerland Geneva pop 2 | | 0.0147 | | 1,267 | See | | | |
138,129 |
DRB1*12 | | Switzerland Graubunden | | 0.0177 | | 759 | See | | | |
138,130 |
DRB1*12 | | Switzerland Lausanne | | 0.0156 | | 993 | See | | | |
138,131 |
DRB1*12 | | Switzerland Lugano | | 0.0146 | | 1,169 | See | | | |
138,132 |
DRB1*12 | | Switzerland Luzern | | 0.0145 | | 1,553 | See | | | |
138,133 |
DRB1*12 | | Switzerland Sion | | 0.0138 | | 832 | See | | | |
138,134 |
DRB1*12 | | Switzerland St Gallen | | 0.0136 | | 2,113 | See | | | |
138,135 |
DRB1*12 | | Switzerland Zurich | | 0.0156 | | 4,875 | See | | | |
138,136 |
DRB1*12 | | Taiwan Aborigine | | 0.0860 | | 111 | See | | | |
138,137 |
DRB1*12 | | Taiwan Chinese immigrants from Middle China | | 0.1290 | | 211 | See | | | |
138,138 |
DRB1*12 | | Taiwan Chinese immigrants from North China | | 0.1280 | | 152 | See | | | |
138,139 |
DRB1*12 | | Taiwan Chinese immigrants from South China | | 0.1270 | | 172 | See | | | |
138,140 |
DRB1*12 | | Taiwan Hakka pop 2 | | 0.1290 | | 714 | See | | | |
138,141 |
DRB1*12 | | Taiwan Minnan pop 2 | | 0.1410 | | 7,137 | See | | | |
138,142 |
DRB1*12 | | Tanzania Dodoma Kongwa | | 0.0380 | | 212 | See | | | |
138,143 |
DRB1*12 | | Thailand pop 2 | | 0.1690 | | 124 | See | | | |
138,144 |
DRB1*12 | | Thailand pop 4 | | 0.1690 | | 16,807 | See | | | |
138,145 |
DRB1*12 | | Trinidad African | | 0.0200 | | 67 | See | | | |
138,146 |
DRB1*12 | | Trinidad South Asian | | 0.0100 | | 87 | See | | | |
138,147 |
DRB1*12 | | Turkey Ankara | | 0.0100 | | 50 | See | | | |
138,148 |
DRB1*12 | | Turkey Istanbul | 6.4 | 0.0325 | | 250 | See | | | |
138,149 |
DRB1*12 | | Turkey pop 2 | | 0.0040 | | 228 | See | | | |
138,150 |
DRB1*12 | | Ukraine Khmelnytskyi | | 0.0220 | | 138 | See | | | |
138,151 |
DRB1*12 | | Ukraine Lvov | | 0.0100 | | 102 | See | | | |
138,152 |
DRB1*12 | | United Arab Emirates pop 2 | 2.4 | 0.0120 | | 373 | See | | | |
138,153 |
DRB1*12 | | United Kingdom Central | | 0.0113 | | 135 | See | | | |
138,154 |
DRB1*12 | | United Kingdom East | | 0.0220 | | 163 | See | | | |
138,155 |
DRB1*12 | | United Kingdom North | | 0.0260 | | 330 | See | | | |
138,156 |
DRB1*12 | | United Kingdom Orkney | | 0.0184 | | 88 | See | | | |
138,157 |
DRB1*12 | | United Kingdom pop 2 | | 0 | | 101 | See | | | |
138,158 |
DRB1*12 | | United Kingdom South West | | 0.0187 | | 163 | See | | | |
138,159 |
DRB1*12 | | USA OPTN African American | | 0.0470 | | 1,510 | See | | | |
138,160 |
DRB1*12 | | USA OPTN Asian | | 0.1130 | | 261 | See | | | |
138,161 |
DRB1*12 | | USA OPTN Caucasian | | 0.0160 | | 8,525 | See | | | |
138,162 |
DRB1*12 | | USA OPTN Hispanic | | 0.0130 | | 1,580 | See | | | |
138,163 |
DRB1*12 | | USA Southeast African American | 9.8 | 0.0540 | | 112 | See | | | |
138,164 |
DRB1*12 | | Venezuela Zulia Maracaibo Mixed | | 0.0250 | | 20 | See | | | |
138,165 |
DRB1*12 | | Vietnam Hanoi | | 0.2700 | | 50 | See | | | |
138,166 |
DRB1*12 | | Wales | 3.1 | 0.0150 | | 1,798 | See | | | |
138,167 |
DRB1*12 | | Wales pop 2 | 3.4 | 0.0170 | | 39,979 | See | | | |
138,168 |
DRB1*12:01 | | Algeria | | 0.0250 | | 97 | See | | | |
138,169 |
DRB1*12:01 | | Algeria pop 2 | 1.0 | 0.0050 | | 106 | See | | | |
138,170 |
DRB1*12:01 | | Argentina Buenos Aires | 1.9 | 0.0100 | | 466 | See | | | |
138,171 |
DRB1*12:01 | | Argentina Chiriguano | 8.9 | 0.0450 | | 54 | See | | | |
138,172 |
DRB1*12:01 | | Argentina Gran Chaco Eastern Toba | | 0 | | 135 | See | | | |
138,173 |
DRB1*12:01 | | Argentina Gran Chaco Mataco Wichi | | 0 | | 49 | See | | | |
138,174 |
DRB1*12:01 | | Argentina Gran Chaco Western Toba Pilaga | | 0 | | 19 | See | | | |
138,175 |
DRB1*12:01 | | Armenia combined Regions | | 0.0050 | | 100 | See | | | |
138,176 |
DRB1*12:01 | | Australia Cape York Peninsula Aborigine | | 0.0050 | | 103 | See | | | |
138,177 |
DRB1*12:01 | | Australia Kimberly Aborigine | | 0.0370 | | 41 | See | | | |
138,178 |
DRB1*12:01 | | Australia Yuendumu Aborigine | | 0.1180 | | 191 | See | | | |
138,179 |
DRB1*12:01 | | Austria | 2.5 | 0.0120 | | 200 | See | | | |
138,180 |
DRB1*12:01 | | Azores Central Islands | | 0.0360 | | 59 | See | | | |
138,181 |
DRB1*12:01 | | Azores Oriental Islands | | 0.0260 | | 43 | See | | | |
138,182 |
DRB1*12:01 | | Azores Terceira Island | | 0.0200 | | 130 | See | | | |
138,183 |
DRB1*12:01 | | Belgium | 2.0 | 0.0100 | | 99 | See | | | |
138,184 |
DRB1*12:01 | | Borneo Bandjarmasin | | 0.0470 | | 21 | See | | | |
138,185 |
DRB1*12:01 | | Brazil Paraná Caucasian | 2.2 | 0.0109 | | 641 | See | | |
|
138,186 |
DRB1*12:01 | | Brazil Puyanawa | 1.3 | 0.0070 | | 150 | See | | |
|
138,187 |
DRB1*12:01 | | Brazil Central Plateau Xavante | | 0 | | 74 | See | | | |
138,188 |
DRB1*12:01 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
138,189 |
DRB1*12:01 | | Brazil Kaingang | | 0 | | 235 | See | | | |
138,190 |
DRB1*12:01 | | Brazil Mato Grosso do Sul | | 0.0100 | | 203 | See | | | |
138,191 |
DRB1*12:01 | | Brazil Mixed | | 0.0150 | | 108 | See | | | |
138,192 |
DRB1*12:01 | | Brazil North East Mixed | | 0.0150 | | 205 | See | | | |
138,193 |
DRB1*12:01 | | Brazil South Caucasian | | 0.0625 | | 73 | See | | | |
138,194 |
DRB1*12:01 | | Brazil Southeast Caucasian | 1.9 | 0.0100 | | 103 | See | | | |
138,195 |
DRB1*12:01 | | Brazil Southeast Mixed Race | 7.1 | 0.0360 | | 42 | See | | | |
138,196 |
DRB1*12:01 | | Brazil Terena | 1.7 | 0.0090 | | 60 | See | | | |
138,197 |
DRB1*12:01 | | Brazil Vale do Ribeira Quilombos | 0.0380 | 0 | | 144 | See | | | |
138,198 |
DRB1*12:01 | | Bulgaria | | 0 | | 55 | See | | | |
138,199 |
DRB1*12:01 | | Cameroon | | 0.0590 | | 126 | See | | | |
138,200 |
DRB1*12:01 | | Canada British Columbia Athabaskan | | 0.0890 | | 62 | 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.