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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.