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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 |
133,701 |
DRB1*11:04:01 | | Libya Cyrenaica | | 0.0170 | | 118 | See | | | |
133,702 |
DRB1*11:04:01 | | Madeira | | 0.0550 | | 185 | See | | | |
133,703 |
DRB1*11:04:01 | | Morocco Atlantic Coast Chaouya | | 0.0100 | | 98 | See | | | |
133,704 |
DRB1*11:04:01 | | Morocco Nador Metalsa | | 0.0150 | | 99 | See | | | |
133,705 |
DRB1*11:04:01 | | Morocco Settat Chaouya | | 0.0100 | | 98 | See | | | |
133,706 |
DRB1*11:04:01 | | New Zealand Maori | | 0.0030 | | 200 | See | | | |
133,707 |
DRB1*11:04:01 | | Nicaragua Mestizo (G) | 4.0 (*) | 0.0200 (*) | | 155 | See | | |
|
133,708 |
DRB1*11:04:01 | | Paraguay/Argentina Guarani NA-DHS_23 (G) | 20.0 (*) | 0.1000 (*) | | 10 | See | | |
|
133,709 |
DRB1*11:04:01 | | Poland BMR | 8.0 | 0.0413 | | 23,595 | See | | |
|
133,710 |
DRB1*11:04:01 | | Russia Belgorod region | 12.4 | 0.0654 | | 153 | See | | |
|
133,711 |
DRB1*11:04:01 | | Russia Bashkortostan, Bashkirs | 5.0 | 0.0250 | | 120 | See | | |
|
133,712 |
DRB1*11:04:01 | | Russia Bashkortostan, Tatars | 12.0 | 0.0599 | | 192 | See | | |
|
133,713 |
DRB1*11:04:01 | | Russia Nizhny Novgorod, Russians | 8.3 | 0.0427 | | 1,510 | See | | |
|
133,714 |
DRB1*11:04:01 | | Russian Federation Vologda Region | 11.8 | 0.0588 | | 119 | See | | |
|
133,715 |
DRB1*11:04:01 | | Saudi Arabia pop 5 | 5.1 | 0.0253 | | 158 | See | | | |
133,716 |
DRB1*11:04:01 | | Saudi Arabia pop 6 (G) | | 0.0284 (*) | | 28,927 | See | | | |
133,717 |
DRB1*11:04:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
133,718 |
DRB1*11:04:01 | | Spain, Canary Islands, Gran canaria island | 5.1 | 0.0256 | | 215 | See | | |
|
133,719 |
DRB1*11:04:01 | | Taiwan Pazeh | 1.8 | 0.0090 | | 55 | See | | | |
133,720 |
DRB1*11:04:01 | | USA African American pop 3 | | 0.0030 | | 564 | See | | | |
133,721 |
DRB1*11:04:01 | | USA Arizona Gila River Pima | | 0.0006 | | 3,000 | See | | | |
133,722 |
DRB1*11:04:01 | | USA Italy Ancestry | | 0.0490 | | 273 | See | | | |
133,723 |
DRB1*11:04:01 | | USA Mexican American Mestizo | | 0.0410 | | 553 | See | | | |
133,724 |
DRB1*11:04:01 | | USA San Francisco Caucasian | | 0.0230 | | 220 | See | | | |
133,725 |
DRB1*11:04:01 | | USA Spain Ancestry | | 0.0160 | | 279 | See | | | |
133,726 |
DRB1*11:04:02 | | Brazil Barra Mansa Rio State Black | | 0.0068 | | 73 | See | | |
|
133,727 |
DRB1*11:04:02 | | Brazil Kaingang | | 0 | | 235 | See | | | |
133,728 |
DRB1*11:04:02 | | Bulgaria | | 0 | | 55 | See | | | |
133,729 |
DRB1*11:04:02 | | Costa Rica African -Caribbean (G) | 1.0 (*) | 0.0050 (*) | | 102 | See | | |
|
133,730 |
DRB1*11:04:02 | | Morocco Nador Metalsa | | 0 | | 99 | See | | | |
133,731 |
DRB1*11:04:02 | | Morocco Settat Chaouya | | 0 | | 98 | See | | | |
133,732 |
DRB1*11:04:02 | | Nigeria | 1.6 | 0.0078 | | 258 | See | | | |
133,733 |
DRB1*11:04:02 | | Saudi Arabia pop 6 (G) | | 0.0002 (*) | | 28,927 | See | | | |
133,734 |
DRB1*11:04:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
133,735 |
DRB1*11:04:02 | | USA African American pop 3 | | 0.0020 | | 564 | See | | | |
133,736 |
DRB1*11:04:09 | | USA NMDP Black South or Central American | | 0.0191 | | 4,889 | See | | | |
133,737 |
DRB1*11:05 | | Argentina Chubut Tehuelche | | 0 | | 23 | See | | | |
133,738 |
DRB1*11:05 | | Argentina Rio Negro Mapuche | | 0 | | 34 | See | | | |
133,739 |
DRB1*11:05 | | Argentina Salta Wichi | | 0 | | 24 | See | | | |
133,740 |
DRB1*11:05 | | Brazil Kaingang | | 0 | | 235 | See | | | |
133,741 |
DRB1*11:05 | | Brazil North East Mixed | | 0 | | 205 | See | | | |
133,742 |
DRB1*11:05 | | Brazil Southeast Caucasian | 0.0 | 0 | | 103 | See | | | |
133,743 |
DRB1*11:05 | | Brazil Southeast Mixed Race | 0.0 | 0 | | 42 | See | | | |
133,744 |
DRB1*11:05 | | Bulgaria | | 0 | | 55 | See | | | |
133,745 |
DRB1*11:05 | | Central African Republic Aka Pygmy | 0.0 | 0 | | 93 | See | | | |
133,746 |
DRB1*11:05 | | China Beijing Shijiazhuang Tianjian Han | | 0.0010 | | 618 | See | | | |
133,747 |
DRB1*11:05 | | China Guizhou Province Miao | | 0 | | 85 | See | | | |
133,748 |
DRB1*11:05 | | China Jiangsu Province Han | | 0.0018 | | 334 | See | | | |
133,749 |
DRB1*11:05 | | China Urumqi Uyghur | 0.0 | 0 | | 57 | See | | | |
133,750 |
DRB1*11:05 | | China Yunnan Province Drung | | 0 | | 70 | See | | | |
133,751 |
DRB1*11:05 | | China Yunnan Province Lahu | | 0 | | 70 | See | | | |
133,752 |
DRB1*11:05 | | China Yunnan Province Yao | | 0.0080 | | 66 | See | | | |
133,753 |
DRB1*11:05 | | Colombia Bogota and Medellin Mestizo | | 0 | | 65 | See | | | |
133,754 |
DRB1*11:05 | | Congo Kinshasa Bantu | 0.0 | 0 | | 90 | See | | | |
133,755 |
DRB1*11:05 | | Czech Republic | | 0 | | 106 | See | | | |
133,756 |
DRB1*11:05 | | France West | 0.0 | 0 | | 100 | See | | | |
133,757 |
DRB1*11:05 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
133,758 |
DRB1*11:05 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0 | 0.0000900 | | 5,266 | See | | |
|
133,759 |
DRB1*11:05 | | India Northeast Kayastha | | 0 | | 190 | See | | | |
133,760 |
DRB1*11:05 | | India Northeast Lachung | | 0 | | 58 | See | | | |
133,761 |
DRB1*11:05 | | India Northeast Mathur | | 0 | | 155 | See | | | |
133,762 |
DRB1*11:05 | | India Northeast Mech | | 0 | | 63 | See | | | |
133,763 |
DRB1*11:05 | | India Northeast Rajbanshi | | 0 | | 98 | See | | | |
133,764 |
DRB1*11:05 | | India Northeast Rastogi | | 0 | | 196 | See | | | |
133,765 |
DRB1*11:05 | | India Northeast Shia | | 0.0130 | | 190 | See | | | |
133,766 |
DRB1*11:05 | | India Northeast Sunni | | 0.0050 | | 188 | See | | | |
133,767 |
DRB1*11:05 | | India Northeast Vaish | | 0 | | 198 | See | | | |
133,768 |
DRB1*11:05 | | Iran pop 2 | | 0.0170 | | 120 | See | | | |
133,769 |
DRB1*11:05 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
133,770 |
DRB1*11:05 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
133,771 |
DRB1*11:05 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
133,772 |
DRB1*11:05 | | Italy pop 5 | | 0 | | 975 | See | | | |
133,773 |
DRB1*11:05 | | Italy Rome | 0.0 | 0 | | 100 | See | | | |
133,774 |
DRB1*11:05 | | Lebanon pop 2 | | 0.0090 | | 191 | See | | | |
133,775 |
DRB1*11:05 | | Macedonia pop 1 | | 0 | | 158 | See | | | |
133,776 |
DRB1*11:05 | | Malaysia Kelantan | 7.1 | 0.0360 | | 28 | See | | |
|
133,777 |
DRB1*11:05 | | Malaysia Patani | 4.0 | 0.0200 | | 25 | See | | |
|
133,778 |
DRB1*11:05 | | Malaysia Peninsular Malay | 0.8 | 0.0042 | | 951 | See | | |
|
133,779 |
DRB1*11:05 | | Malaysia Sarawak Bidayuh | | 0.0100 | | 50 | See | | | |
133,780 |
DRB1*11:05 | | Malaysia Sarawak Iban | | 0.0290 | | 51 | See | | | |
133,781 |
DRB1*11:05 | | Mexico Highlands Mestizos | 0.0 | 0 | | 160 | See | | | |
133,782 |
DRB1*11:05 | | Mexico Nuevo Leon Mestizo | 0.0 | 0 | | 40 | See | | | |
133,783 |
DRB1*11:05 | | Morocco Nador Metalsa | | 0 | | 99 | See | | | |
133,784 |
DRB1*11:05 | | Morocco Settat Chaouya | | 0 | | 98 | See | | | |
133,785 |
DRB1*11:05 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
133,786 |
DRB1*11:05 | | Paraguay Lengua | | 0 | | 17 | See | | | |
133,787 |
DRB1*11:05 | | Slovenia | 0.0 | 0 | | 100 | See | | | |
133,788 |
DRB1*11:05 | | South Korea pop 3 | | 0 | | 485 | See | | | |
133,789 |
DRB1*11:05 | | Spain Barcelona | 0.0 | 0 | | 941 | See | | | |
133,790 |
DRB1*11:05 | | Spain Murcia | | 0 | | 173 | See | | | |
133,791 |
DRB1*11:05 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
133,792 |
DRB1*11:05 | | Switzerland Basel | | 0 | | 1,888 | See | | | |
133,793 |
DRB1*11:05 | | Switzerland Bern | | 0 | | 3,545 | See | | | |
133,794 |
DRB1*11:05 | | Switzerland Geneva pop 2 | | 0 | | 1,267 | See | | | |
133,795 |
DRB1*11:05 | | Switzerland Graubunden | | 0 | | 759 | See | | | |
133,796 |
DRB1*11:05 | | Switzerland Lausanne | | 0 | | 993 | See | | | |
133,797 |
DRB1*11:05 | | Switzerland Lugano | | 0 | | 1,169 | See | | | |
133,798 |
DRB1*11:05 | | Switzerland Luzern | | 0 | | 1,553 | See | | | |
133,799 |
DRB1*11:05 | | Switzerland Sion | | 0 | | 832 | See | | | |
133,800 |
DRB1*11:05 | | Switzerland St Gallen | | 0 | | 2,113 | 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.