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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 |
59,301 |
DRB1*15:01 |  | Thailand Northeast pop 2 | | 0.0780 |  | 400 | See |  |  | |
59,302 |
DRB1*15:01 |  | Tunisia | 4.0 | 0.0200 |  | 100 | See |  |  | |
59,303 |
DRB1*15:01 |  | Tunisia Gabes Arab | | 0.0720 |  | 96 | See |  |  | |
59,304 |
DRB1*15:01 |  | Tunisia Ghannouch | | 0.0430 |  | 82 | See |  |  | |
59,305 |
DRB1*15:01 |  | Tunisia Jerba Berber | | 0.0390 |  | 55 | See |  |  | |
59,306 |
DRB1*15:01 |  | Tunisia Matmata Berber | | 0.1170 |  | 81 | See |  |  | |
59,307 |
DRB1*15:01 |  | Tunisia pop 2 | | 0.0100 |  | 111 | See |  |  | |
59,308 |
DRB1*15:01 |  | Tunisia pop 3 | | 0.0780 |  | 104 | See |  |  | |
59,309 |
DRB1*15:01 |  | USA African American pop 4 | | 0.0293 |  | 2,411 | See |  |  | |
59,310 |
DRB1*15:01 |  | USA African American pop 7 | | 0.0310 |  | 193 | See |  |  | |
59,311 |
DRB1*15:01 |  | USA Alaska Yupik | | 0.0080 |  | 252 | See |  |  | |
59,312 |
DRB1*15:01 |  | USA Asian pop 2 | | 0.0792 |  | 1,772 | See |  |  | |
59,313 |
DRB1*15:01 |  | USA Caucasian Houston | 24.4 | 0.1380 |  | 194 | See |  |  | |
59,314 |
DRB1*15:01 |  | USA Caucasian Pittsburgh | 21.0 | 0.1050 |  | 177 | See |  |  | |
59,315 |
DRB1*15:01 |  | USA Caucasian pop 4 | | 0.1394 |  | 1,070 | See |  |  | |
59,316 |
DRB1*15:01 |  | USA Caucasian pop 5 | | 0.1120 |  | 268 | See |  |  | |
59,317 |
DRB1*15:01 |  | USA Eastern European | | 0.1100 |  | 558 | See |  |  | |
59,318 |
DRB1*15:01 |  | USA Hawaii | | 0.0640 |  | 39 | See |  |  | |
59,319 |
DRB1*15:01 |  | USA Hispanic pop 2 | | 0.0668 |  | 1,999 | See |  |  | |
59,320 |
DRB1*15:01 |  | USA Mexican American Mestizo pop 3 | | 0.0390 |  | 116 | See |  |  | |
59,321 |
DRB1*15:01 |  | USA Minnesota Olmsted | | 0.1240 |  | 339 | See |  |  | |
59,322 |
DRB1*15:01 |  | USA Philippines | | 0.0290 |  | 105 | See |  |  | |
59,323 |
DRB1*15:01 |  | USA San Francisco Caucasian | | 0.1610 |  | 220 | See |  |  | |
59,324 |
DRB1*15:01 |  | USA Southern California Mestizo | 8.2 | 0.0418 |  | 73 | See |  |  | |
59,325 |
DRB1*15:01 |  | Vietnam Hanoi Kinh | | 0.0390 |  | 103 | See |  |  | |
59,326 |
DRB1*15:01 |  | Vietnam Hanoi Kinh pop 2 | | 0.0380 |  | 170 | See |  |  | |
59,327 |
DRB1*15:01 |  | Western Samoa and Tokelau | | 0.0390 |  | 51 | See |  |  | |
59,328 |
DRB1*15:01:01 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
59,329 |
DRB1*15:01:01 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
59,330 |
DRB1*15:01:01 |  | Bulgaria | | 0.0180 |  | 55 | See |  |  | |
59,331 |
DRB1*15:01:01 |  | Cape Verde Northwestern Islands | | 0.0320 |  | 62 | See |  |  | |
59,332 |
DRB1*15:01:01 |  | Cape Verde Southeastern Islands | | 0.0480 |  | 62 | See |  |  | |
59,333 |
DRB1*15:01:01 |  | China Guizhou Province Miao | | 0.1960 |  | 85 | See |  |  | |
59,334 |
DRB1*15:01:01 |  | China Inner Mongolia Region Ewenki | | 0.0640 |  | 94 | See |  |  | |
59,335 |
DRB1*15:01:01 |  | China Jiangxi Province | | 0.1630 |  | 98 | See |  |  | |
59,336 |
DRB1*15:01:01 |  | China Lijiang Naxi | | 0.0210 |  | 100 | See |  |  | |
59,337 |
DRB1*15:01:01 |  | China Shandong Province Han | | 0.1630 |  | 98 | See |  |  | |
59,338 |
DRB1*15:01:01 |  | China Wanwei, Wutou and Shanxin Islands Jing | | 0.0510 |  | 138 | See |  |  | |
59,339 |
DRB1*15:01:01 |  | China Yunnan Province Bai | | 0.0900 |  | 128 | See |  |  | |
59,340 |
DRB1*15:01:01 |  | China Yunnan Province Jinuo | | 0.0410 |  | 109 | See |  |  | |
59,341 |
DRB1*15:01:01 |  | China Yunnan Province Lisu | | 0.0680 |  | 111 | See |  |  | |
59,342 |
DRB1*15:01:01 |  | China Yunnan Province Nu | | 0.0540 |  | 107 | See |  |  | |
59,343 |
DRB1*15:01:01 |  | China Yunnan Province Wa | | 0 |  | 119 | See |  |  | |
59,344 |
DRB1*15:01:01 |  | China Yunnan Province Yao | | 0.1270 |  | 66 | See |  |  | |
59,345 |
DRB1*15:01:01 |  | Cook Islands | | 0.0100 |  | 50 | See |  |  | |
59,346 |
DRB1*15:01:01 |  | Guinea Bissau | | 0.0080 |  | 65 | See |  |  | |
59,347 |
DRB1*15:01:01 |  | India Mumbai Maratha | | 0.1940 |  | 91 | See |  |  | |
59,348 |
DRB1*15:01:01 |  | India North pop 2 | | 0.1480 |  | 72 | See |  |  | |
59,349 |
DRB1*15:01:01 |  | India Tamil Nadu Dravidian | | 0.1600 |  | 156 | See |  |  | |
59,350 |
DRB1*15:01:01 |  | Indonesia Java pop 2 | | 0.0420 |  | 36 | See |  |  | |
59,351 |
DRB1*15:01:01 |  | Indonesia Sundanese and Javanese | | 0.0420 |  | 201 | See |  |  | |
59,352 |
DRB1*15:01:01 |  | Ireland Northern | 32.9 | 0.1820 |  | 1,000 | See |  |  | |
59,353 |
DRB1*15:01:01 |  | Madeira | | 0.0890 |  | 185 | See |  |  | |
59,354 |
DRB1*15:01:01 |  | Mexico Chihuahua Tarahumara | | 0.0230 |  | 44 | See |  |  | |
59,355 |
DRB1*15:01:01 |  | Morocco Nador Metalsa | | 0.0960 |  | 99 | See |  |  | |
59,356 |
DRB1*15:01:01 |  | Morocco Settat Chaouya | | 0.1280 |  | 98 | See |  |  | |
59,357 |
DRB1*15:01:01 |  | New Zealand Maori | | 0.0530 |  | 200 | See |  |  | |
59,358 |
DRB1*15:01:01 |  | Samoa pop2 | | 0.0300 |  | 50 | See |  |  | |
59,359 |
DRB1*15:01:01 |  | Saudi Arabia pop 3 | | 0.1200 |  | 50 | See |  |  | |
59,360 |
DRB1*15:01:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
59,361 |
DRB1*15:01:01 |  | Taiwan Minnan and Hakka | | 0.0870 |  | 190 | See |  |  | |
59,362 |
DRB1*15:01:01 |  | Tokelau | | 0 |  | 50 | See |  |  | |
59,363 |
DRB1*15:01:01 |  | Tonga | | 0.0300 |  | 50 | See |  |  | |
59,364 |
DRB1*15:01:01 |  | USA African American pop 3 | | 0.0250 |  | 564 | See |  |  | |
59,365 |
DRB1*15:01:01 |  | USA Mexican American Mestizo | | 0.0680 |  | 553 | See |  |  | |
59,366 |
DRB1*15:01:01 |  | USA San Francisco Caucasian | | 0.1590 |  | 220 | See |  |  | |
59,367 |
DRB1*15:01:01 |  | USA South Dakota Lakota Sioux | | 0.0170 |  | 302 | See |  |  | |
59,368 |
DRB1*15:01:01:01 |  | Saudi Arabia pop 5 | 12.0 | 0.0633 |  | 158 | See |  |  | |
59,369 |
DRB1*15:01:01:01 |  | USA San Francisco Caucasian | | 0.1590 |  | 220 | See |  |  | |
59,370 |
DRB1*15:01:02 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
59,371 |
DRB1*15:01:02 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
59,372 |
DRB1*15:01:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
59,373 |
DRB1*15:01:02 |  | Ireland Northern | 0.0 | 0 |  | 1,000 | See |  |  | |
59,374 |
DRB1*15:01:02 |  | Morocco Nador Metalsa | | 0 |  | 99 | See |  |  | |
59,375 |
DRB1*15:01:02 |  | Morocco Settat Chaouya | | 0 |  | 98 | See |  |  | |
59,376 |
DRB1*15:01:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
59,377 |
DRB1*15:01:02 |  | USA San Francisco Caucasian | | 0.0020 |  | 220 | See |  |  | |
59,378 |
DRB1*15:01:03 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
59,379 |
DRB1*15:01:04 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
59,380 |
DRB1*15:01:06 |  | India Mumbai Maratha | | 0.0040 |  | 91 | See |  |  | |
59,381 |
DRB1*15:02 |  | Algeria pop 2 | 6.0 | 0.0304 |  | 106 | See |  |  | |
59,382 |
DRB1*15:02 |  | Argentina Gran Chaco Eastern Toba | | 0 |  | 135 | See |  |  | |
59,383 |
DRB1*15:02 |  | Argentina Gran Chaco Mataco Wichi | | 0.0110 |  | 49 | See |  |  | |
59,384 |
DRB1*15:02 |  | Argentina Gran Chaco Western Toba Pilaga | | 0.0300 |  | 19 | See |  |  | |
59,385 |
DRB1*15:02 |  | Australia Cape York Peninsula Aborigine | | 0.0510 |  | 103 | See |  |  | |
59,386 |
DRB1*15:02 |  | Australia Kimberly Aborigine | | 0.1340 |  | 41 | See |  |  | |
59,387 |
DRB1*15:02 |  | Australia Yuendumu Aborigine | | 0.0380 |  | 191 | See |  |  | |
59,388 |
DRB1*15:02 |  | Azores Central Islands | | 0.0090 |  | 59 | See |  |  | |
59,389 |
DRB1*15:02 |  | Azores Oriental Islands | | 0.0130 |  | 43 | See |  |  | |
59,390 |
DRB1*15:02 |  | Brazil Central Plateau Xavante | | 0 |  | 74 | See |  |  | |
59,391 |
DRB1*15:02 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
59,392 |
DRB1*15:02 |  | Brazil Guarani Nandeva | | 0 |  | 86 | See |  |  | |
59,393 |
DRB1*15:02 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
59,394 |
DRB1*15:02 |  | Brazil North East Mixed | | 0.0020 |  | 205 | See |  |  | |
59,395 |
DRB1*15:02 |  | Canada British Columbia Athabaskan | | 0 |  | 62 | See |  |  | |
59,396 |
DRB1*15:02 |  | Canada British Columbia Penutian | | 0.0190 |  | 26 | See |  |  | |
59,397 |
DRB1*15:02 |  | Central African Republic Aka Pygmy | 1.2 | 0.0060 |  | 93 | See |  |  | |
59,398 |
DRB1*15:02 |  | China Beijing and Xian | | 0.0530 |  | 171 | See |  |  | |
59,399 |
DRB1*15:02 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0230 |  | 618 | See |  |  | |
59,400 |
DRB1*15:02 |  | 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.