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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 |
140,301 |
DRB1*13:07 | | Italy Rome | 0.0 | 0 | | 100 | See | | | |
140,302 |
DRB1*13:07 | | Japan Hyogo Osaka and Nagano | | 0 | | 195 | See | | | |
140,303 |
DRB1*13:07 | | Japan pop 16 | | 0.0000500 | | 18,604 | See | | | |
140,304 |
DRB1*13:07 | | Japan pop 2 | | 0.0010 | | 916 | See | | | |
140,305 |
DRB1*13:07 | | Japan pop 3 | | 0.0010 | | 1,018 | See | | | |
140,306 |
DRB1*13:07 | | Jordan Amman | | 0.0380 | | 146 | See | | | |
140,307 |
DRB1*13:07 | | Macedonia pop 1 | | 0.0030 | | 158 | See | | | |
140,308 |
DRB1*13:07 | | Macedonia pop 3 | | 0.0030 | | 172 | See | | | |
140,309 |
DRB1*13:07 | | Malaysia Peninsular Chinese | 0.5 | 0.0026 | | 194 | See | | |
|
140,310 |
DRB1*13:07 | | Malaysia Peninsular Indian | 0.4 | 0.0018 | | 271 | See | | |
|
140,311 |
DRB1*13:07 | | Mexico Highlands Mestizos | 0.0 | 0 | | 160 | See | | | |
140,312 |
DRB1*13:07 | | Mexico Nuevo Leon Mestizo | 0.0 | 0 | | 40 | See | | | |
140,313 |
DRB1*13:07 | | Mongolia Hoton | | 0 | | 85 | See | | | |
140,314 |
DRB1*13:07 | | Mongolia Khalkha pop 2 | | 0 | | 202 | See | | | |
140,315 |
DRB1*13:07 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
140,316 |
DRB1*13:07 | | Paraguay Lengua | | 0 | | 17 | See | | | |
140,317 |
DRB1*13:07 | | Poland Wielkopolska Region | | 0.0200 | | 99 | See | | | |
140,318 |
DRB1*13:07 | | Rwanda Kigali Hutu and Tutsi | | 0.0020 | | 281 | See | | | |
140,319 |
DRB1*13:07 | | Sao Tome Island Angolar | | 0.0160 | | 32 | See | | | |
140,320 |
DRB1*13:07 | | Sao Tome Island Forro | | 0 | | 66 | See | | | |
140,321 |
DRB1*13:07 | | Slovenia | 0.0 | 0 | | 100 | See | | | |
140,322 |
DRB1*13:07 | | South Korea pop 10 | | 0.0005 | | 4,128 | See | | | |
140,323 |
DRB1*13:07 | | South Korea pop 11 | | 0.0030 | | 149 | See | | | |
140,324 |
DRB1*13:07 | | South Korea pop 2 | 0.0 | 0 | | 207 | See | | | |
140,325 |
DRB1*13:07 | | Spain Barcelona | 0.0 | 0 | | 941 | See | | | |
140,326 |
DRB1*13:07 | | Spain Murcia | | 0 | | 173 | See | | | |
140,327 |
DRB1*13:07 | | Taiwan Han Chinese | | 0.0010 | | 504 | See | | | |
140,328 |
DRB1*13:07 | | USA African American Bethesda | 1.4 | 0.0070 | | 187 | See | | | |
140,329 |
DRB1*13:07 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
140,330 |
DRB1*13:07 | | USA Caucasian | 0.0 | 0 | | 61,655 | See | | | |
140,331 |
DRB1*13:07 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
140,332 |
DRB1*13:07 | | USA Caucasian Houston | 0.0 | 0 | | 194 | See | | | |
140,333 |
DRB1*13:07 | | USA Caucasian Pittsburgh | 0.0 | 0 | | 177 | See | | | |
140,334 |
DRB1*13:07 | | USA NMDP African | | 0.0000400 | | 28,557 | See | | | |
140,335 |
DRB1*13:07 | | USA NMDP African American pop 2 | | 0.0000020 | | 416,581 | See | | | |
140,336 |
DRB1*13:07 | | USA NMDP Chinese | | 0.0004 | | 99,672 | See | | | |
140,337 |
DRB1*13:07 | | USA NMDP Korean | | 0.0006 | | 77,584 | See | | | |
140,338 |
DRB1*13:07 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0000350 | | 70,890 | See | | | |
140,339 |
DRB1*13:07 | | USA NMDP South Asian Indian | | 0.0000030 | | 185,391 | See | | | |
140,340 |
DRB1*13:07 | | USA NMDP Vietnamese | | 0.0003 | | 43,540 | See | | | |
140,341 |
DRB1*13:07 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
140,342 |
DRB1*13:07 | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
140,343 |
DRB1*13:07 | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
140,344 |
DRB1*13:07:01 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
140,345 |
DRB1*13:07:01 | | Brazil Kaingang | | 0 | | 235 | See | | | |
140,346 |
DRB1*13:07:01 | | Bulgaria | | 0 | | 55 | See | | | |
140,347 |
DRB1*13:07:01 | | China Wanwei, Wutou and Shanxin Islands Jing | | 0.0040 | | 138 | See | | | |
140,348 |
DRB1*13:07:01 | | China Zhejiang Han | | 0.0003 | | 1,734 | See | | |
|
140,349 |
DRB1*13:07:01 | | France West | 0.0 | 0 | | 100 | See | | | |
140,350 |
DRB1*13:07:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0 | 0.0000900 | | 5,266 | See | | |
|
140,351 |
DRB1*13:07:01 | | India Mumbai Maratha | | 0.0040 | | 91 | See | | | |
140,352 |
DRB1*13:07:01 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
140,353 |
DRB1*13:07:01 | | Morocco Nador Metalsa | | 0 | | 99 | See | | | |
140,354 |
DRB1*13:07:01 | | Morocco Settat Chaouya | | 0 | | 98 | See | | | |
140,355 |
DRB1*13:07:01 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
140,356 |
DRB1*13:07:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
140,357 |
DRB1*13:07:02 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
140,358 |
DRB1*13:07:02 | | Brazil Kaingang | | 0 | | 235 | See | | | |
140,359 |
DRB1*13:07:02 | | Bulgaria | | 0 | | 55 | See | | | |
140,360 |
DRB1*13:07:02 | | France West | 0.0 | 0 | | 100 | See | | | |
140,361 |
DRB1*13:07:02 | | India North pop 2 | | 0.0090 | | 72 | See | | | |
140,362 |
DRB1*13:07:02 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
140,363 |
DRB1*13:07:02 | | Morocco Nador Metalsa | | 0 | | 99 | See | | | |
140,364 |
DRB1*13:07:02 | | Morocco Settat Chaouya | | 0 | | 98 | See | | | |
140,365 |
DRB1*13:07:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
140,366 |
DRB1*13:08 | | Argentina Chubut Tehuelche | | 0 | | 23 | See | | | |
140,367 |
DRB1*13:08 | | Argentina Rio Negro Mapuche | | 0 | | 34 | See | | | |
140,368 |
DRB1*13:08 | | Argentina Salta Wichi | | 0 | | 24 | See | | | |
140,369 |
DRB1*13:08 | | Brazil Paraná Caucasian | 0.2 | 0.0008 | | 641 | See | | |
|
140,370 |
DRB1*13:08 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
140,371 |
DRB1*13:08 | | Brazil Kaingang | | 0 | | 235 | See | | | |
140,372 |
DRB1*13:08 | | Brazil North East Mixed | | 0 | | 205 | See | | | |
140,373 |
DRB1*13:08 | | Brazil Southeast Caucasian | 0.0 | 0 | | 103 | See | | | |
140,374 |
DRB1*13:08 | | Brazil Southeast Mixed Race | 0.0 | 0 | | 42 | See | | | |
140,375 |
DRB1*13:08 | | Bulgaria | | 0 | | 55 | See | | | |
140,376 |
DRB1*13:08 | | Central African Republic Aka Pygmy | 0.0 | 0 | | 93 | See | | | |
140,377 |
DRB1*13:08 | | China Urumqi Uyghur | 0.0 | 0 | | 57 | See | | | |
140,378 |
DRB1*13:08 | | Colombia Bogota and Medellin Mestizo | | 0 | | 65 | See | | | |
140,379 |
DRB1*13:08 | | Congo Kinshasa Bantu | 1.1 | 0.0060 | | 90 | See | | | |
140,380 |
DRB1*13:08 | | Czech Republic | | 0 | | 106 | See | | | |
140,381 |
DRB1*13:08 | | France West | 0.0 | 0 | | 100 | See | | | |
140,382 |
DRB1*13:08 | | Georgia Svaneti Region Svan | | 0.0060 | | 80 | See | | | |
140,383 |
DRB1*13:08 | | Germany DKMS - German donors | | 0.0000070 | | 3,456,066 | See | | |
|
140,384 |
DRB1*13:08 | | Germany pop 8 | | 0.0000700 | | 39,689 | See | | | |
140,385 |
DRB1*13:08 | | India Lucknow | 0.8 | 0.0040 | | 123 | See | | | |
140,386 |
DRB1*13:08 | | India Northeast Kayastha | | 0.0030 | | 190 | See | | | |
140,387 |
DRB1*13:08 | | India Northeast Lachung | | 0 | | 58 | See | | | |
140,388 |
DRB1*13:08 | | India Northeast Mathur | | 0 | | 155 | See | | | |
140,389 |
DRB1*13:08 | | India Northeast Mech | | 0 | | 63 | See | | | |
140,390 |
DRB1*13:08 | | India Northeast Rajbanshi | | 0 | | 98 | See | | | |
140,391 |
DRB1*13:08 | | India Northeast Rastogi | | 0.0030 | | 196 | See | | | |
140,392 |
DRB1*13:08 | | India Northeast Shia | | 0 | | 190 | See | | | |
140,393 |
DRB1*13:08 | | India Northeast Sunni | | 0 | | 188 | See | | | |
140,394 |
DRB1*13:08 | | India Northeast Vaish | | 0.0030 | | 198 | See | | | |
140,395 |
DRB1*13:08 | | India Uttar Pradesh | | 0.0030 | | 202 | See | | | |
140,396 |
DRB1*13:08 | | Iran Gorgan | | 0.0080 | | 64 | See | | |
|
140,397 |
DRB1*13:08 | | Iran pop 2 | | 0.0170 | | 120 | See | | | |
140,398 |
DRB1*13:08 | | Iran Tabriz Azeris | | 0.0052 | | 97 | See | | |
|
140,399 |
DRB1*13:08 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
140,400 |
DRB1*13:08 | | Italy Bergamo | 0.0 | 0 | | 101 | 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.