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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 |
135,601 |
DRB1*11:07 | | Slovenia | 0.0 | 0 | | 100 | See | | | |
135,602 |
DRB1*11:07 | | South Korea pop 3 | | 0 | | 485 | See | | | |
135,603 |
DRB1*11:07 | | Spain Barcelona | 0.0 | 0 | | 941 | See | | | |
135,604 |
DRB1*11:07 | | Spain Murcia | | 0 | | 173 | See | | | |
135,605 |
DRB1*11:07 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
135,606 |
DRB1*11:07 | | Switzerland Basel | | 0 | | 1,888 | See | | | |
135,607 |
DRB1*11:07 | | Switzerland Bern | | 0 | | 3,545 | See | | | |
135,608 |
DRB1*11:07 | | Switzerland Geneva pop 2 | | 0.0020 | | 1,267 | See | | | |
135,609 |
DRB1*11:07 | | Switzerland Graubunden | | 0 | | 759 | See | | | |
135,610 |
DRB1*11:07 | | Switzerland Lausanne | | 0 | | 993 | See | | | |
135,611 |
DRB1*11:07 | | Switzerland Lugano | | 0 | | 1,169 | See | | | |
135,612 |
DRB1*11:07 | | Switzerland Luzern | | 0 | | 1,553 | See | | | |
135,613 |
DRB1*11:07 | | Switzerland Sion | | 0 | | 832 | See | | | |
135,614 |
DRB1*11:07 | | Switzerland St Gallen | | 0 | | 2,113 | See | | | |
135,615 |
DRB1*11:07 | | Switzerland Zurich | | 0 | | 4,875 | See | | | |
135,616 |
DRB1*11:07 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
135,617 |
DRB1*11:07 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
135,618 |
DRB1*11:07 | | USA Caucasian | 0.0 | 0 | | 61,655 | See | | | |
135,619 |
DRB1*11:07 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
135,620 |
DRB1*11:07 | | USA Caucasian Houston | 0.0 | 0 | | 194 | See | | | |
135,621 |
DRB1*11:07 | | USA Caucasian Pittsburgh | 0.0 | 0 | | 177 | See | | | |
135,622 |
DRB1*11:07 | | USA NMDP African | | 0.0000200 | | 28,557 | See | | | |
135,623 |
DRB1*11:07 | | USA NMDP Caribean Hispanic | | 0.0000130 | | 115,374 | See | | | |
135,624 |
DRB1*11:07 | | USA NMDP European Caucasian | | 0.0000080 | | 1,242,890 | See | | | |
135,625 |
DRB1*11:07 | | USA NMDP Hispanic South or Central American | | 0.0000170 | | 146,714 | See | | | |
135,626 |
DRB1*11:07 | | USA NMDP Mexican or Chicano | | 0.0000110 | | 261,235 | See | | | |
135,627 |
DRB1*11:07 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0000070 | | 70,890 | See | | | |
135,628 |
DRB1*11:07 | | USA NMDP North American Amerindian | | 0.0000300 | | 35,791 | See | | | |
135,629 |
DRB1*11:07 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
135,630 |
DRB1*11:07 | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
135,631 |
DRB1*11:07 | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
135,632 |
DRB1*11:07:01 | | Brazil Rio de Janeiro Parda | | 0.0030 | | 170 | See | | |
|
135,633 |
DRB1*11:08 | | Argentina Buenos Aires | 0.5 | 0.0020 | | 466 | See | | | |
135,634 |
DRB1*11:08 | | Argentina Chubut Tehuelche | | 0 | | 23 | See | | | |
135,635 |
DRB1*11:08 | | Argentina Rio Negro Mapuche | | 0 | | 34 | See | | | |
135,636 |
DRB1*11:08 | | Argentina Salta Wichi | | 0 | | 24 | See | | | |
135,637 |
DRB1*11:08 | | Brazil Kaingang | | 0 | | 235 | See | | | |
135,638 |
DRB1*11:08 | | Brazil North East Mixed | | 0 | | 205 | See | | | |
135,639 |
DRB1*11:08 | | Brazil Southeast Caucasian | 0.0 | 0 | | 103 | See | | | |
135,640 |
DRB1*11:08 | | Brazil Southeast Mixed Race | 0.0 | 0 | | 42 | See | | | |
135,641 |
DRB1*11:08 | | Central African Republic Aka Pygmy | 0.0 | 0 | | 93 | See | | | |
135,642 |
DRB1*11:08 | | Chile Santiago | | 0.0002 | | 920 | See | | |
|
135,643 |
DRB1*11:08 | | China Harbin Korean | | 0 | | 201 | See | | | |
135,644 |
DRB1*11:08 | | China Harbin Manchu | | 0 | | 172 | See | | | |
135,645 |
DRB1*11:08 | | China Urumqi Uyghur | 0.0 | 0 | | 57 | See | | | |
135,646 |
DRB1*11:08 | | Congo Kinshasa Bantu | 0.0 | 0 | | 90 | See | | | |
135,647 |
DRB1*11:08 | | Czech Republic | | 0 | | 106 | See | | | |
135,648 |
DRB1*11:08 | | France West | 0.0 | 0 | | 100 | See | | | |
135,649 |
DRB1*11:08 | | Germany DKMS - Austria minority | | 0.0003 | | 1,698 | See | | | |
135,650 |
DRB1*11:08 | | Germany DKMS - German donors | | 0.0000380 | | 3,456,066 | See | | |
|
135,651 |
DRB1*11:08 | | Germany DKMS - Romania minority | | 0.0008 | | 1,234 | See | | | |
135,652 |
DRB1*11:08 | | Germany DKMS - Turkey minority | | 0.0001 | | 4,856 | See | | | |
135,653 |
DRB1*11:08 | | Germany pop 6 | | 0.0001 | | 8,862 | See | | | |
135,654 |
DRB1*11:08 | | Germany pop 8 | | 0.0000600 | | 39,689 | See | | | |
135,655 |
DRB1*11:08 | | India Central UCBB | 0.2 | 0.0012 | | 4,204 | See | | |
|
135,656 |
DRB1*11:08 | | India East UCBB | 0.4 | 0.0019 | | 2,403 | See | | |
|
135,657 |
DRB1*11:08 | | India Lucknow | 0.8 | 0.0040 | | 123 | See | | | |
135,658 |
DRB1*11:08 | | India North UCBB | 0.2 | 0.0009 | | 5,849 | See | | |
|
135,659 |
DRB1*11:08 | | India Northeast Kayastha | | 0 | | 190 | See | | | |
135,660 |
DRB1*11:08 | | India Northeast Lachung | | 0 | | 58 | See | | | |
135,661 |
DRB1*11:08 | | India Northeast Mathur | | 0 | | 155 | See | | | |
135,662 |
DRB1*11:08 | | India Northeast Mech | | 0 | | 63 | See | | | |
135,663 |
DRB1*11:08 | | India Northeast Rajbanshi | | 0 | | 98 | See | | | |
135,664 |
DRB1*11:08 | | India Northeast Rastogi | | 0 | | 196 | See | | | |
135,665 |
DRB1*11:08 | | India Northeast Shia | | 0.0030 | | 190 | See | | | |
135,666 |
DRB1*11:08 | | India Northeast Sunni | | 0 | | 188 | See | | | |
135,667 |
DRB1*11:08 | | India Northeast UCBB | 0.3 | 0.0017 | | 296 | See | | |
|
135,668 |
DRB1*11:08 | | India Northeast Vaish | | 0.0030 | | 198 | See | | | |
135,669 |
DRB1*11:08 | | India South UCBB | 0.2 | 0.0011 | | 11,446 | See | | |
|
135,670 |
DRB1*11:08 | | India Tamil Nadu | | 0.0008 | | 2,492 | See | | |
|
135,671 |
DRB1*11:08 | | India Uttar Pradesh | | 0.0030 | | 202 | See | | | |
135,672 |
DRB1*11:08 | | India West UCBB | 0.3 | 0.0014 | | 5,829 | See | | |
|
135,673 |
DRB1*11:08 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
135,674 |
DRB1*11:08 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
135,675 |
DRB1*11:08 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
135,676 |
DRB1*11:08 | | Italy pop 5 | | 0 | | 975 | See | | | |
135,677 |
DRB1*11:08 | | Italy Rome | 0.0 | 0 | | 100 | See | | | |
135,678 |
DRB1*11:08 | | Japan Hyogo Osaka and Nagano | | 0 | | 195 | See | | | |
135,679 |
DRB1*11:08 | | Japan pop 16 | | 0.0000500 | | 18,604 | See | | | |
135,680 |
DRB1*11:08 | | Japan pop 17 | | 0.0003 | | 3,078 | See | | | |
135,681 |
DRB1*11:08 | | Malaysia Peninsular Chinese | 0.5 | 0.0026 | | 194 | See | | |
|
135,682 |
DRB1*11:08 | | Malaysia Peninsular Indian | 0.7 | 0.0037 | | 271 | See | | |
|
135,683 |
DRB1*11:08 | | Mexico Highlands Mestizos | 0.0 | 0 | | 160 | See | | | |
135,684 |
DRB1*11:08 | | Mexico Nuevo Leon Mestizo | 0.0 | 0 | | 40 | See | | | |
135,685 |
DRB1*11:08 | | Mongolia Hoton | | 0.0060 | | 85 | See | | | |
135,686 |
DRB1*11:08 | | Mongolia Khalkha pop 2 | | 0 | | 202 | See | | | |
135,687 |
DRB1*11:08 | | Morocco Nador Metalsa | | 0 | | 99 | See | | | |
135,688 |
DRB1*11:08 | | Morocco Settat Chaouya | | 0 | | 98 | See | | | |
135,689 |
DRB1*11:08 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
135,690 |
DRB1*11:08 | | Paraguay Lengua | | 0 | | 17 | See | | | |
135,691 |
DRB1*11:08 | | Rwanda Kigali Hutu and Tutsi | | 0.0040 | | 281 | See | | | |
135,692 |
DRB1*11:08 | | Saudi Arabia pop 6 (G) | | 0.0000860 (*) | | 28,927 | See | | | |
135,693 |
DRB1*11:08 | | Slovenia | 0.0 | 0 | | 100 | See | | | |
135,694 |
DRB1*11:08 | | South Korea pop 10 | | 0.0002 | | 4,128 | See | | | |
135,695 |
DRB1*11:08 | | South Korea pop 4 | 0.5 | 0.0025 | | 211 | See | | | |
135,696 |
DRB1*11:08 | | Spain Barcelona | 0.0 | 0 | | 941 | See | | | |
135,697 |
DRB1*11:08 | | Spain Murcia | | 0 | | 173 | See | | | |
135,698 |
DRB1*11:08 | | Tunisia Gabes Arab | | 0 | | 96 | See | | | |
135,699 |
DRB1*11:08 | | Tunisia Jerba Berber | | 0 | | 55 | See | | | |
135,700 |
DRB1*11:08 | | Tunisia Matmata Berber | | 0.0060 | | 81 | 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.