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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 |
| 63,101 |
DRB1*14:83 |  | Argentina Chubut Tehuelche | | 0 |  | 23 | See |  |  | |
| 63,102 |
DRB1*14:83 |  | Argentina Rio Negro Mapuche | | 0 |  | 34 | See |  |  | |
| 63,103 |
DRB1*14:83 |  | Argentina Salta Wichi | | 0 |  | 24 | See |  |  | |
| 63,104 |
DRB1*14:83 |  | Paraguay Lengua | | 0 |  | 17 | See |  |  | |
| 63,105 |
DRB1*14:84 |  | Argentina Chubut Tehuelche | | 0 |  | 23 | See |  |  | |
| 63,106 |
DRB1*14:84 |  | Argentina Rio Negro Mapuche | | 0 |  | 34 | See |  |  | |
| 63,107 |
DRB1*14:84 |  | Argentina Salta Wichi | | 0 |  | 24 | See |  |  | |
| 63,108 |
DRB1*14:84 |  | Paraguay Lengua | | 0 |  | 17 | See |  |  | |
| 63,109 |
DRB1*14:85 |  | Argentina Chubut Tehuelche | | 0 |  | 23 | See |  |  | |
| 63,110 |
DRB1*14:85 |  | Argentina Rio Negro Mapuche | | 0 |  | 34 | See |  |  | |
| 63,111 |
DRB1*14:85 |  | Argentina Salta Wichi | | 0 |  | 24 | See |  |  | |
| 63,112 |
DRB1*14:85 |  | Paraguay Lengua | | 0 |  | 17 | See |  |  | |
| 63,113 |
DRB1*14:86 |  | Argentina Chubut Tehuelche | | 0 |  | 23 | See |  |  | |
| 63,114 |
DRB1*14:86 |  | Argentina Rio Negro Mapuche | | 0 |  | 34 | See |  |  | |
| 63,115 |
DRB1*14:86 |  | Argentina Salta Wichi | | 0 |  | 24 | See |  |  | |
| 63,116 |
DRB1*14:86 |  | Paraguay Lengua | | 0 |  | 17 | See |  |  | |
| 63,117 |
DRB1*15 |  | Albania | | 0.0760 |  | 160 | See |  |  | |
| 63,118 |
DRB1*15 |  | Albania pop 2 | 15.7 | 0.0810 |  | 432 | See |  |  | |
| 63,119 |
DRB1*15 |  | Argentina Chubut Tehuelche | | 0.0220 |  | 23 | See |  |  | |
| 63,120 |
DRB1*15 |  | Argentina Kolla | | 0 |  | 61 | See |  |  | |
| 63,121 |
DRB1*15 |  | Argentina Rio Negro Mapuche | | 0.0150 |  | 34 | See |  |  | |
| 63,122 |
DRB1*15 |  | Argentina Salta Wichi pop 2 | 0.0 | 0 |  | 19 | See |  |  | |
| 63,123 |
DRB1*15 |  | Azores Terceira Island | | 0.0620 |  | 130 | See |  |  | |
| 63,124 |
DRB1*15 |  | Bangladesh Dhaka Bangalee | | 0.2900 |  | 141 | See |  |  | |
| 63,125 |
DRB1*15 |  | Belarus Brest Region | | 0.1330 |  | 105 | See |  |  | |
| 63,126 |
DRB1*15 |  | Belarus Gomel Region | | 0.1210 |  | 100 | See |  |  | |
| 63,127 |
DRB1*15 |  | Belarus Vitebsk Region | | 0.1850 |  | 70 | See |  |  | |
| 63,128 |
DRB1*15 |  | Belgium | 27.3 | 0.1420 |  | 99 | See |  |  | |
| 63,129 |
DRB1*15 |  | Brazil Curitiba-Parana Mixed | | 0.1380 |  | 264 | See |  |  | |
| 63,130 |
DRB1*15 |  | Brazil East Amazon | | 0 |  | 41 | See |  |  | |
| 63,131 |
DRB1*15 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
| 63,132 |
DRB1*15 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
| 63,133 |
DRB1*15 |  | Burkina Faso Fulani | | 0.0100 |  | 49 | See |  |  | |
| 63,134 |
DRB1*15 |  | Burkina Faso Mossi | | 0.1300 |  | 53 | See |  |  | |
| 63,135 |
DRB1*15 |  | Burkina Faso Rimaibe | | 0.1500 |  | 47 | See |  |  | |
| 63,136 |
DRB1*15 |  | Chile Huilliche | | 0.0880 |  | 40 | See |  |  | |
| 63,137 |
DRB1*15 |  | China Beijing and Guangzhou | | 0.1560 |  | 1,592 | See |  |  | |
| 63,138 |
DRB1*15 |  | Colombia Antioquia Paisa | | 0.1200 |  | 100 | See |  |  | |
| 63,139 |
DRB1*15 |  | Croatia Gorski Kotar Region | | 0.1020 |  | 63 | See |  |  | |
| 63,140 |
DRB1*15 |  | Finland | | 0.0830 |  | 91 | See |  |  | |
| 63,141 |
DRB1*15 |  | France Southeast | 18.5 | 0.0970 |  | 130 | See |  |  | |
| 63,142 |
DRB1*15 |  | Gabon Haut-Ogooue Dienga | | 0.3110 |  | 167 | See |  |  | |
| 63,143 |
DRB1*15 |  | India Andhra Pradesh Brahmin | 9.1 | 0.1730 |  | 98 | See |  |  | |
| 63,144 |
DRB1*15 |  | India Andhra Pradesh Sunni | 11.7 | 0.2200 |  | 100 | See |  |  | |
| 63,145 |
DRB1*15 |  | India sub-Himalayan West Bengal Kami | 68.4 | 0.4114 |  | 158 | See |  |  |
|
| 63,146 |
DRB1*15 |  | Italy Central | | 0.0630 |  | 380 | See |  |  | |
| 63,147 |
DRB1*15 |  | Malaysia Negeri Sembilan Minangkabau | | 0.3700 |  | 34 | See |  |  | |
| 63,148 |
DRB1*15 |  | Malaysia Perak and Johor Banjar Bugis Jawa | | 0.2290 |  | 94 | See |  |  | |
| 63,149 |
DRB1*15 |  | Malaysia Perak Rawa | | 0.1500 |  | 23 | See |  |  | |
| 63,150 |
DRB1*15 |  | Malaysia pop 2 | | 0.3780 |  | 62 | See |  |  | |
| 63,151 |
DRB1*15 |  | Mexico Huasteca Region Teenek | | 0 |  | 55 | See |  |  | |
| 63,152 |
DRB1*15 |  | Mexico Mestizo pop 4 | | 0.0651 |  | 269 | See |  |  | |
| 63,153 |
DRB1*15 |  | Morocco pop 2 | | 0.1480 |  | 110 | See |  |  | |
| 63,154 |
DRB1*15 |  | Norway pop 2 | | 0.1570 |  | 576 | See |  |  | |
| 63,155 |
DRB1*15 |  | Norway Sami | | 0.1050 |  | 200 | See |  |  | |
| 63,156 |
DRB1*15 |  | Pakistan Baloch | | 0.0940 |  | 66 | See |  |  | |
| 63,157 |
DRB1*15 |  | Pakistan Brahui | | 0.1350 |  | 104 | See |  |  | |
| 63,158 |
DRB1*15 |  | Pakistan Karachi Parsi | | 0.1150 |  | 91 | See |  |  | |
| 63,159 |
DRB1*15 |  | Paraguay Aché | | 0 |  | 87 | See |  |  | |
| 63,160 |
DRB1*15 |  | Peru Quechua | | 0.0230 |  | 44 | See |  |  | |
| 63,161 |
DRB1*15 |  | Portugal North pop 2 | | 0.0737 |  | 1,801 | See |  |  | |
| 63,162 |
DRB1*15 |  | Russia Arkhangelsk | | 0.1980 |  | 81 | See |  |  | |
| 63,163 |
DRB1*15 |  | Russia Arkhangelsk Pomor | | 0.1790 |  | 63 | See |  |  | |
| 63,164 |
DRB1*15 |  | Russia Kostroma Region | | 0.1350 |  | 126 | See |  |  | |
| 63,165 |
DRB1*15 |  | Russia Mari | | 0.1060 |  | 202 | See |  |  | |
| 63,166 |
DRB1*15 |  | Russia Murmansk Saomi Mixed | | 0.1170 |  | 70 | See |  |  | |
| 63,167 |
DRB1*15 |  | Russia Nenet Mixed | | 0.0450 |  | 55 | See |  |  | |
| 63,168 |
DRB1*15 |  | Russia Smolensk | | 0.1540 |  | 156 | See |  |  | |
| 63,169 |
DRB1*15 |  | Russia South Ural Bashkir | 18.5 | 0.0920 |  | 146 | See |  |  | |
| 63,170 |
DRB1*15 |  | Russia South Ural Russian | 28.5 | 0.1470 |  | 207 | See |  |  | |
| 63,171 |
DRB1*15 |  | Russia South Ural Tatar | 20.7 | 0.1110 |  | 135 | See |  |  | |
| 63,172 |
DRB1*15 |  | Russia Vologda | | 0.1440 |  | 121 | See |  |  | |
| 63,173 |
DRB1*15 |  | Russia, South Ural, Chelyabinsk region, Nagaybaks | 15.2 | 0.0760 |  | 112 | See |  |  |
|
| 63,174 |
DRB1*15 |  | South Korea pop 8 | | 0.1120 |  | 7,096 | See |  |  | |
| 63,175 |
DRB1*15 |  | Sri Lanka Colombo Sinhalese | | 0.2130 |  | 101 | See |  |  | |
| 63,176 |
DRB1*15 |  | Sudan Central Shaigiya Mixed | 33.3 | 0.1833 |  | 36 | See |  |  | |
| 63,177 |
DRB1*15 |  | Sudan East Rashaida | 11.1 | 0.0571 |  | 27 | See |  |  | |
| 63,178 |
DRB1*15 |  | Sudan Khartoum | | 0.1327 |  | 98 | See |  |  |
|
| 63,179 |
DRB1*15 |  | Sudan South Nuba | 19.6 | 0.1033 |  | 46 | See |  |  | |
| 63,180 |
DRB1*15 |  | Trinidad African | | 0.1900 |  | 67 | See |  |  | |
| 63,181 |
DRB1*15 |  | Trinidad South Asian | | 0.2800 |  | 87 | See |  |  | |
| 63,182 |
DRB1*15 |  | Turkey pop 2 | | 0.0540 |  | 228 | See |  |  | |
| 63,183 |
DRB1*15 |  | Ukraine Khmelnytskyi | | 0.1010 |  | 138 | See |  |  | |
| 63,184 |
DRB1*15 |  | Ukraine Lvov | | 0.0980 |  | 102 | See |  |  | |
| 63,185 |
DRB1*15 |  | United Kingdom Central | | 0.1316 |  | 135 | See |  |  | |
| 63,186 |
DRB1*15 |  | United Kingdom East | | 0.1226 |  | 163 | See |  |  | |
| 63,187 |
DRB1*15 |  | United Kingdom North | | 0.1636 |  | 330 | See |  |  | |
| 63,188 |
DRB1*15 |  | United Kingdom Orkney | | 0.2086 |  | 88 | See |  |  | |
| 63,189 |
DRB1*15 |  | United Kingdom South West | | 0.1215 |  | 163 | See |  |  | |
| 63,190 |
DRB1*15 |  | Venezuela Zulia Maracaibo Mixed | | 0.0750 |  | 20 | See |  |  | |
| 63,191 |
DRB1*15 |  | Venezuela Zulia San Jose de Heras Mixed | | 0.2250 |  | 20 | See |  |  | |
| 63,192 |
DRB1*15:01 |  | Algeria | | 0.1340 |  | 97 | See |  |  | |
| 63,193 |
DRB1*15:01 |  | Algeria Oran | | 0.0300 |  | 100 | See |  |  | |
| 63,194 |
DRB1*15:01 |  | Algeria pop 2 | 22.0 | 0.1168 |  | 106 | See |  |  | |
| 63,195 |
DRB1*15:01 |  | Argentina Buenos Aires | 14.0 | 0.0700 |  | 466 | See |  |  | |
| 63,196 |
DRB1*15:01 |  | Argentina Chiriguano | 1.8 | 0.0090 |  | 54 | See |  |  | |
| 63,197 |
DRB1*15:01 |  | Argentina Gran Chaco Eastern Toba | | 0.0040 |  | 135 | See |  |  | |
| 63,198 |
DRB1*15:01 |  | Argentina Gran Chaco Mataco Wichi | | 0.0110 |  | 49 | See |  |  | |
| 63,199 |
DRB1*15:01 |  | Argentina Gran Chaco Western Toba Pilaga | | 0.0930 |  | 19 | See |  |  | |
| 63,200 |
DRB1*15:01 |  | Argentina Mapuche | | 0.0350 |  | 48 | 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.