Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
133,201 |
DRB1*10:01 | | Vietnam HoaBinh Muong | | 0.0300 | | 83 | See | | | |
133,202 |
DRB1*10:01 | | Western Samoa and Tokelau | | 0 | | 51 | See | | | |
133,203 |
DRB1*10:01 | | Zimbabwe Harare Shona | | 0.0370 | | 230 | See | | | |
133,204 |
DRB1*10:01:01 | | Brazil Barra Mansa Rio State Black | | 0.0137 | | 73 | See | | |
|
133,205 |
DRB1*10:01:01 | | Brazil Barra Mansa Rio State Caucasian | | 0.0198 | | 405 | See | | |
|
133,206 |
DRB1*10:01:01 | | Brazil Rio de Janeiro Black | | 0.0368 | | 68 | See | | |
|
133,207 |
DRB1*10:01:01 | | Brazil Rio de Janeiro Caucasian | | 0.0240 | | 521 | See | | |
|
133,208 |
DRB1*10:01:01 | | Brazil Rio de Janeiro Parda | | 0.0118 | | 170 | See | | |
|
133,209 |
DRB1*10:01:01 | | Bulgaria | | 0 | | 55 | See | | | |
133,210 |
DRB1*10:01:01 | | China Han Guandong Province | | 0.0190 | | 208 | See | | | |
133,211 |
DRB1*10:01:01 | | China Inner Mongolia Autonomous Region Northeast | 4.2 | 0.0210 | | 496 | See | | | |
133,212 |
DRB1*10:01:01 | | China Jingpo Minority | 3.1 | 0.0150 | | 105 | See | | |
|
133,213 |
DRB1*10:01:01 | | China Lijiang Naxi | | 0.0050 | | 100 | See | | | |
133,214 |
DRB1*10:01:01 | | China Shandong Province Han | | 0.0100 | | 98 | See | | | |
133,215 |
DRB1*10:01:01 | | China Wanwei, Wutou and Shanxin Islands Jing | | 0.0290 | | 138 | See | | | |
133,216 |
DRB1*10:01:01 | | China Yunnan Province Bai | | 0.0080 | | 128 | See | | | |
133,217 |
DRB1*10:01:01 | | China Yunnan Province Lisu | | 0.0050 | | 111 | See | | | |
133,218 |
DRB1*10:01:01 | | China Zhejiang Han | | 0.0124 | | 1,734 | See | | |
|
133,219 |
DRB1*10:01:01 | | Costa Rica African -Caribbean (G) | 4.0 (*) | 0.0200 (*) | | 102 | See | | |
|
133,220 |
DRB1*10:01:01 | | Costa Rica Amerindians (G) | 1.6 (*) | 0.0080 (*) | | 125 | See | | |
|
133,221 |
DRB1*10:01:01 | | Costa Rica Central Valley Mestizo (G) | 2.8 (*) | 0.0140 (*) | | 221 | See | | |
|
133,222 |
DRB1*10:01:01 | | Costa Rica Guanacaste Mestizo (G) | 3.7 (*) | 0.0230 (*) | | 110 | See | | |
|
133,223 |
DRB1*10:01:01 | | England North West | 1.3 | 0.0070 | | 298 | See | | | |
133,224 |
DRB1*10:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 3.0 | 0.0150 | | 5,266 | See | | |
|
133,225 |
DRB1*10:01:01 | | India Andhra Pradesh Telugu Speaking | 14.0 | 0.0726 | | 186 | See | | |
|
133,226 |
DRB1*10:01:01 | | India Karnataka Kannada Speaking | 9.8 | 0.0490 | | 174 | See | | |
|
133,227 |
DRB1*10:01:01 | | India Kerala Malayalam speaking | 13.5 | 0.0700 | | 356 | See | | |
|
133,228 |
DRB1*10:01:01 | | India Mumbai Maratha | | 0.0850 | | 91 | See | | | |
133,229 |
DRB1*10:01:01 | | Indonesia Java pop 2 | | 0.0420 | | 36 | See | | | |
133,230 |
DRB1*10:01:01 | | Libya Cyrenaica | | 0.0090 | | 118 | See | | | |
133,231 |
DRB1*10:01:01 | | Mexico Zapotec NA-DHS_7 (G) | 5.3 (*) | 0.0263 (*) | | 20 | See | | |
|
133,232 |
DRB1*10:01:01 | | Nicaragua Mestizo (G) | 1.4 (*) | 0.0070 (*) | | 155 | See | | |
|
133,233 |
DRB1*10:01:01 | | Nigeria | 3.1 | 0.0156 | | 258 | See | | | |
133,234 |
DRB1*10:01:01 | | Poland BMR | 1.6 | 0.0080 | | 23,595 | See | | |
|
133,235 |
DRB1*10:01:01 | | Russia Belgorod region | 2.0 | 0.0098 | | 153 | See | | |
|
133,236 |
DRB1*10:01:01 | | Russia Bashkortostan, Bashkirs | 2.5 | 0.0125 | | 120 | See | | |
|
133,237 |
DRB1*10:01:01 | | Russia Bashkortostan, Tatars | 2.6 | 0.0130 | | 192 | See | | |
|
133,238 |
DRB1*10:01:01 | | Russia Nizhny Novgorod, Russians | 2.1 | 0.0106 | | 1,510 | See | | |
|
133,239 |
DRB1*10:01:01 | | Russian Federation Vologda Region | 2.5 | 0.0126 | | 119 | See | | |
|
133,240 |
DRB1*10:01:01 | | Saudi Arabia pop 5 | 8.2 | 0.0443 | | 158 | See | | | |
133,241 |
DRB1*10:01:01 | | Saudi Arabia pop 6 (G) | | 0.0473 (*) | | 28,927 | See | | | |
133,242 |
DRB1*10:01:01 | | South African Black | 3.5 | 0.0176 | | 142 | See | | |
|
133,243 |
DRB1*10:01:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
133,244 |
DRB1*10:01:01 | | Spain, Canary Islands, Gran canaria island | 1.9 | 0.0093 | | 215 | See | | |
|
133,245 |
DRB1*10:01:01 | | Taiwan Ami pop 2 | | 0.0100 | | 50 | See | | | |
133,246 |
DRB1*10:01:01 | | Taiwan Atayal pop 2 | | 0.0300 | | 50 | See | | | |
133,247 |
DRB1*10:01:01 | | Taiwan Bunun pop 2 | | 0 | | 50 | See | | | |
133,248 |
DRB1*10:01:01 | | Taiwan Han | | 0.0200 | | 50 | See | | | |
133,249 |
DRB1*10:01:01 | | Taiwan Minnan and Hakka | | 0.0110 | | 190 | See | | | |
133,250 |
DRB1*10:01:01 | | Taiwan Orchid Island Yami | | 0 | | 50 | See | | | |
133,251 |
DRB1*10:01:01 | | Taiwan Paiwan pop 2 | | 0 | | 50 | See | | | |
133,252 |
DRB1*10:01:01 | | Taiwan Puyuma pop 2 | | 0 | | 50 | See | | | |
133,253 |
DRB1*10:01:01 | | Taiwan Rukai pop 2 | | 0 | | 50 | See | | | |
133,254 |
DRB1*10:01:01 | | Taiwan Saisiat pop 2 | | 0.0100 | | 50 | See | | | |
133,255 |
DRB1*10:01:01 | | Taiwan Tsou pop 2 | | 0 | | 50 | See | | | |
133,256 |
DRB1*10:01:01 | | USA African American pop 3 | | 0.0170 | | 564 | See | | | |
133,257 |
DRB1*10:01:01 | | USA Arizona Gila River Pima | | 0.0006 | | 3,000 | See | | | |
133,258 |
DRB1*10:01:01 | | USA Italy Ancestry | | 0.0150 | | 273 | See | | | |
133,259 |
DRB1*10:01:01 | | USA Mexican American Mestizo | | 0.0110 | | 553 | See | | | |
133,260 |
DRB1*10:01:01 | | USA San Francisco Caucasian | | 0.0090 | | 220 | See | | | |
133,261 |
DRB1*10:01:01 | | USA Spain Ancestry | | 0.0180 | | 279 | See | | | |
133,262 |
DRB1*10:01:01 | | Vietnam Kinh | 16.0 | 0.0792 | | 101 | See | | |
|
133,263 |
DRB1*10:01:02 | | Bulgaria | | 0 | | 55 | See | | | |
133,264 |
DRB1*10:01:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
133,265 |
DRB1*10:01:08 | | Saudi Arabia pop 6 (G) | | 0.0000350 (*) | | 28,927 | See | | | |
133,266 |
DRB1*10:02 | | Argentina Chubut Tehuelche | | 0 | | 23 | See | | | |
133,267 |
DRB1*10:02 | | Argentina Rio Negro Mapuche | | 0 | | 34 | See | | | |
133,268 |
DRB1*10:02 | | Argentina Salta Wichi | | 0 | | 24 | See | | | |
133,269 |
DRB1*10:02 | | Brazil Paraná Caucasian | 0.2 | 0.0008 | | 641 | See | | |
|
133,270 |
DRB1*10:02 | | Germany DKMS - German donors | | 0.0000010 | | 3,456,066 | See | | |
|
133,271 |
DRB1*10:02 | | Germany DKMS - Italy minority | | 0.0004 | | 1,159 | See | | | |
133,272 |
DRB1*10:02 | | Germany pop 8 | | 0.0000100 | | 39,689 | See | | | |
133,273 |
DRB1*10:02 | | India South UCBB | 0.0400 | 0.0002 | | 11,446 | See | | |
|
133,274 |
DRB1*10:02 | | India Tamil Nadu | | 0.0020 | | 2,492 | See | | |
|
133,275 |
DRB1*10:02 | | Italy pop 5 | | 0 | | 975 | See | | | |
133,276 |
DRB1*10:02 | | Malaysia Peninsular Indian | 0.7 | 0.0037 | | 271 | See | | |
|
133,277 |
DRB1*10:02 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
133,278 |
DRB1*10:02 | | Paraguay Lengua | | 0 | | 17 | See | | | |
133,279 |
DRB1*10:02 | | Poland DKMS | | 0.0000500 | | 20,653 | See | | | |
133,280 |
DRB1*10:02 | | USA NMDP African American pop 2 | | 0.0000010 | | 416,581 | See | | | |
133,281 |
DRB1*10:02 | | USA NMDP European Caucasian | | 0.0000004 | | 1,242,890 | See | | | |
133,282 |
DRB1*10:02 | | USA NMDP South Asian Indian | | 0.0000050 | | 185,391 | See | | | |
133,283 |
DRB1*10:03 | | Argentina Chubut Tehuelche | | 0 | | 23 | See | | | |
133,284 |
DRB1*10:03 | | Argentina Rio Negro Mapuche | | 0 | | 34 | See | | | |
133,285 |
DRB1*10:03 | | Argentina Salta Wichi | | 0 | | 24 | See | | | |
133,286 |
DRB1*10:03 | | Brazil Paraná Caucasian | 0.3 | 0.0016 | | 641 | See | | |
|
133,287 |
DRB1*10:03 | | India Tamil Nadu | | 0.0002 | | 2,492 | See | | |
|
133,288 |
DRB1*10:03 | | Malaysia Peninsular Indian | 0.4 | 0.0018 | | 271 | See | | |
|
133,289 |
DRB1*10:03 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
133,290 |
DRB1*10:03 | | Paraguay Lengua | | 0 | | 17 | See | | | |
133,291 |
DRB1*10:03 | | USA NMDP Caribean Hispanic | | 0.0000040 | | 115,374 | See | | | |
133,292 |
DRB1*10:03 | | USA NMDP European Caucasian | | 0.0000004 | | 1,242,890 | See | | | |
133,293 |
DRB1*10:04 | | Chile Santiago | | 0.0002 | | 920 | See | | |
|
133,294 |
DRB1*10:06 | | Chile Santiago | | 0.0007 | | 920 | See | | |
|
133,295 |
DRB1*10:06 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
133,296 |
DRB1*10:11 | | Colombia Barranquilla | | 0.0025 | | 188 | See | | |
|
133,297 |
DRB1*10:12 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
133,298 |
DRB1*10:13 | | Saudi Arabia pop 6 (G) | | 0.0000170 (*) | | 28,927 | See | | | |
133,299 |
DRB1*10:25 | | India South UCBB | 0.0200 | 0.0000900 | | 11,446 | See | | |
|
133,300 |
DRB1*11 | | Albania | | 0.2750 | | 160 | See | | | |
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
: 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).
were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
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
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.