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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 |
| 64,301 |
DRB1*16:01 |  | Mexico Tixcacaltuyub Maya | | 0.0075 |  | 67 | See |  |  |
|
| 64,302 |
DRB1*16:01 |  | Mongolia Hoton | | 0.0120 |  | 85 | See |  |  | |
| 64,303 |
DRB1*16:01 |  | Mongolia Khalkha pop 2 | | 0 |  | 202 | See |  |  | |
| 64,304 |
DRB1*16:01 |  | Mongolia Tarialan Khoton | | 0.0120 |  | 85 | See |  |  | |
| 64,305 |
DRB1*16:01 |  | Mongolia Ulaanbaatar Khalkha | | 0 |  | 41 | See |  |  | |
| 64,306 |
DRB1*16:01 |  | Morocco | | 0.0100 |  | 96 | See |  |  | |
| 64,307 |
DRB1*16:01 |  | Morocco Atlantic Coast Chaouya | | 0.0100 |  | 98 | See |  |  | |
| 64,308 |
DRB1*16:01 |  | Morocco Nador Metalsa | | 0.0050 |  | 99 | See |  |  | |
| 64,309 |
DRB1*16:01 |  | Morocco Settat Chaouya | | 0.0100 |  | 98 | See |  |  | |
| 64,310 |
DRB1*16:01 |  | Morocco Souss Region | | 0.0200 |  | 98 | See |  |  | |
| 64,311 |
DRB1*16:01 |  | New Zealand Maori | | 0.0030 |  | 200 | See |  |  | |
| 64,312 |
DRB1*16:01 |  | Papua New Guinea East New Britain Tolai | | 0 |  | 48 | See |  |  | |
| 64,313 |
DRB1*16:01 |  | Papua New Guinea Highland pop2 | | 0.0180 |  | 28 | See |  |  | |
| 64,314 |
DRB1*16:01 |  | Papua New Guinea Lowland Roro | | 0.0190 |  | 26 | See |  |  | |
| 64,315 |
DRB1*16:01 |  | Papua New Guinea Trobriand Island | | 0 |  | 81 | See |  |  | |
| 64,316 |
DRB1*16:01 |  | Paraguay Lengua | | 0 |  | 17 | See |  |  | |
| 64,317 |
DRB1*16:01 |  | Poland | | 0.0480 |  | 200 | See |  |  | |
| 64,318 |
DRB1*16:01 |  | Poland Wielkopolska Region | | 0.0250 |  | 99 | See |  |  | |
| 64,319 |
DRB1*16:01 |  | Portugal Center | | 0.0200 |  | 50 | See |  |  | |
| 64,320 |
DRB1*16:01 |  | Portugal North | | 0.0110 |  | 46 | See |  |  | |
| 64,321 |
DRB1*16:01 |  | Portugal South | | 0.0310 |  | 49 | See |  |  | |
| 64,322 |
DRB1*16:01 |  | Russia Bering Island Aleuts | | 0.0048 |  | 104 | See |  |  |
|
| 64,323 |
DRB1*16:01 |  | Russia Chuvash | | 0.0120 |  | 82 | See |  |  | |
| 64,324 |
DRB1*16:01 |  | Russia Tuva | | 0.0100 |  | 190 | See |  |  | |
| 64,325 |
DRB1*16:01 |  | Russia Tuva pop 2 | | 0.0110 |  | 169 | See |  |  | |
| 64,326 |
DRB1*16:01 |  | Samoa West | | 0 |  | 22 | See |  |  | |
| 64,327 |
DRB1*16:01 |  | Sao Tome Island Angolar | | 0.0160 |  | 32 | See |  |  | |
| 64,328 |
DRB1*16:01 |  | Sao Tome Island Forro | | 0.0080 |  | 66 | See |  |  | |
| 64,329 |
DRB1*16:01 |  | Scotland Orkney | 2.9 | 0.0140 |  | 99 | See |  |  | |
| 64,330 |
DRB1*16:01 |  | Slovenia | 18.0 | 0.0944 |  | 100 | See |  |  | |
| 64,331 |
DRB1*16:01 |  | South Africa Caucasians | | 0.0160 |  | 102 | See |  |  | |
| 64,332 |
DRB1*16:01 |  | Spain Tenerife Island | | 0.0140 |  | 83 | See |  |  |
|
| 64,333 |
DRB1*16:01 |  | Taiwan Aborigine pop 2 | | 0 |  | 48 | See |  |  | |
| 64,334 |
DRB1*16:01 |  | Tunisia | 1.0 | 0.0050 |  | 100 | See |  |  | |
| 64,335 |
DRB1*16:01 |  | Tunisia Gabes | | 0.0105 |  | 95 | See |  |  | |
| 64,336 |
DRB1*16:01 |  | Tunisia Gabes Arab | | 0.0100 |  | 96 | See |  |  | |
| 64,337 |
DRB1*16:01 |  | Tunisia Jerba Berber | | 0.0270 |  | 55 | See |  |  | |
| 64,338 |
DRB1*16:01 |  | Tunisia Matmata Berber | | 0 |  | 81 | See |  |  | |
| 64,339 |
DRB1*16:01 |  | Tunisia pop 3 | | 0.0190 |  | 104 | See |  |  | |
| 64,340 |
DRB1*16:01 |  | Turkey pop 1 | | 0.0600 |  | 250 | See |  |  | |
| 64,341 |
DRB1*16:01 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 64,342 |
DRB1*16:01 |  | USA Caucasian pop 4 | | 0.0067 |  | 1,070 | See |  |  | |
| 64,343 |
DRB1*16:01 |  | USA Philadelphia Caucasian | 2.8 | 0.0180 |  | 141 | See |  |  | |
| 64,344 |
DRB1*16:01 |  | USA San Antonio Caucasian | | 0.0135 |  | 222 | See |  |  | |
| 64,345 |
DRB1*16:01 |  | USA South Dakota Sioux | | 0.0050 |  | 101 | See |  |  | |
| 64,346 |
DRB1*16:01 |  | USA South Texas Hispanic | | 0.0020 |  | 194 | See |  |  | |
| 64,347 |
DRB1*16:01:01 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
| 64,348 |
DRB1*16:01:01 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
| 64,349 |
DRB1*16:01:01 |  | Bulgaria | | 0.1550 |  | 55 | See |  |  | |
| 64,350 |
DRB1*16:01:01 |  | Canada Chipewyan NA-DHS_2 (G) | 16.0 (*) | 0.0800 (*) |  | 25 | See |  |  |
|
| 64,351 |
DRB1*16:01:01 |  | Costa Rica Central Valley Mestizo (G) | 1.8 (*) | 0.0090 (*) |  | 221 | See |  |  |
|
| 64,352 |
DRB1*16:01:01 |  | India Mumbai Maratha | | 0.0190 |  | 91 | See |  |  | |
| 64,353 |
DRB1*16:01:01 |  | Libya Cyrenaica | | 0.0170 |  | 118 | See |  |  | |
| 64,354 |
DRB1*16:01:01 |  | Madeira | | 0.0220 |  | 185 | See |  |  | |
| 64,355 |
DRB1*16:01:01 |  | Mexico Mixtec NA-DHS_5 (G) | 5.0 (*) | 0.0250 (*) |  | 20 | See |  |  |
|
| 64,356 |
DRB1*16:01:01 |  | Nicaragua Mestizo (G) | 0.6 (*) | 0.0030 (*) |  | 155 | See |  |  |
|
| 64,357 |
DRB1*16:01:01 |  | Russia Tundra Nentsi NA-DHS_1 (G) | 6.3 (*) | 0.0313 (*) |  | 16 | See |  |  |
|
| 64,358 |
DRB1*16:01:01 |  | Saudi Arabia pop 3 | | 0.0300 |  | 50 | See |  |  | |
| 64,359 |
DRB1*16:01:01 |  | Saudi Arabia pop 5 | 6.3 | 0.0317 |  | 158 | See |  |  | |
| 64,360 |
DRB1*16:01:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 64,361 |
DRB1*16:01:01 |  | Spain, Canary Islands, Gran canaria island | 2.8 | 0.0140 |  | 215 | See |  |  |
|
| 64,362 |
DRB1*16:01:02 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
| 64,363 |
DRB1*16:01:02 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
| 64,364 |
DRB1*16:01:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 64,365 |
DRB1*16:01:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 64,366 |
DRB1*16:02 |  | Algeria | | 0.0050 |  | 97 | See |  |  | |
| 64,367 |
DRB1*16:02 |  | Algeria Oran | | 0.0100 |  | 100 | See |  |  | |
| 64,368 |
DRB1*16:02 |  | Algeria pop 2 | 0.0 | 0 |  | 106 | See |  |  | |
| 64,369 |
DRB1*16:02 |  | Argentina Buenos Aires | 1.4 | 0.0070 |  | 466 | See |  |  | |
| 64,370 |
DRB1*16:02 |  | Argentina Chiriguano | 33.9 | 0.1790 |  | 54 | See |  |  | |
| 64,371 |
DRB1*16:02 |  | Argentina Chubut Tehuelche | | 0.0220 |  | 23 | See |  |  | |
| 64,372 |
DRB1*16:02 |  | Argentina Gran Chaco Eastern Toba | | 0.0230 |  | 135 | See |  |  | |
| 64,373 |
DRB1*16:02 |  | Argentina Gran Chaco Mataco Wichi | | 0 |  | 49 | See |  |  | |
| 64,374 |
DRB1*16:02 |  | Argentina Gran Chaco Western Toba Pilaga | | 0 |  | 19 | See |  |  | |
| 64,375 |
DRB1*16:02 |  | Argentina Mapuche | | 0.1630 |  | 48 | See |  |  | |
| 64,376 |
DRB1*16:02 |  | Argentina Rio Negro Mapuche | | 0.1610 |  | 34 | See |  |  | |
| 64,377 |
DRB1*16:02 |  | Argentina Rosario Toba | 1.2 | 0.0060 |  | 86 | See |  |  | |
| 64,378 |
DRB1*16:02 |  | Argentina Salta Wichi | | 0 |  | 24 | See |  |  | |
| 64,379 |
DRB1*16:02 |  | Australia Cape York Peninsula Aborigine | | 0.0100 |  | 103 | See |  |  | |
| 64,380 |
DRB1*16:02 |  | Australia Kimberly Aborigine | | 0.0120 |  | 41 | See |  |  | |
| 64,381 |
DRB1*16:02 |  | Azores Central Islands | | 0.0090 |  | 59 | See |  |  | |
| 64,382 |
DRB1*16:02 |  | Azores Oriental Islands | | 0 |  | 43 | See |  |  | |
| 64,383 |
DRB1*16:02 |  | Belgium | 1.0 | 0.0050 |  | 99 | See |  |  | |
| 64,384 |
DRB1*16:02 |  | Bolivia La Paz Aymaras | | 0.0400 |  | 87 | See |  |  |
|
| 64,385 |
DRB1*16:02 |  | Bolivia/Peru Quechua NA-DHS_12 (G) | 9.5 (*) | 0.0476 (*) |  | 21 | See |  |  |
|
| 64,386 |
DRB1*16:02 |  | Borneo Bandjarmasin | | 0.0710 |  | 21 | See |  |  | |
| 64,387 |
DRB1*16:02 |  | Brazil Central Plateau Xavante | | 0.3030 |  | 74 | See |  |  | |
| 64,388 |
DRB1*16:02 |  | Brazil East Amazon | | 0.0730 |  | 41 | See |  |  | |
| 64,389 |
DRB1*16:02 |  | Brazil Guarani Kaiowa | | 0.3390 |  | 155 | See |  |  | |
| 64,390 |
DRB1*16:02 |  | Brazil Guarani M bya | | 0.3710 |  | 93 | See |  |  | |
| 64,391 |
DRB1*16:02 |  | Brazil Guarani Nandeva | | 0.2960 |  | 86 | See |  |  | |
| 64,392 |
DRB1*16:02 |  | Brazil Kaingang | | 0.1250 |  | 235 | See |  |  | |
| 64,393 |
DRB1*16:02 |  | Brazil Mixed | | 0.0100 |  | 108 | See |  |  | |
| 64,394 |
DRB1*16:02 |  | Brazil Terena | 47.5 | 0.2710 |  | 60 | See |  |  | |
| 64,395 |
DRB1*16:02 |  | Brazil Ticuna | | 0.2450 |  | 50 | See |  |  | |
| 64,396 |
DRB1*16:02 |  | Brazil Vale do Ribeira Quilombos | 0.0140 | 0 |  | 144 | See |  |  | |
| 64,397 |
DRB1*16:02 |  | Central African Republic Aka Pygmy | 0.0 | 0 |  | 93 | See |  |  | |
| 64,398 |
DRB1*16:02 |  | China Beijing and Xian | | 0.0230 |  | 171 | See |  |  | |
| 64,399 |
DRB1*16:02 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0240 |  | 618 | See |  |  | |
| 64,400 |
DRB1*16:02 |  | China Canton Han | | 0.0530 |  | 264 | 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.