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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 |
59,701 |
DRB1*15:03 | | India Northeast Lachung | | 0 | | 58 | See | | | |
59,702 |
DRB1*15:03 | | India Northeast Mathur | | 0.0300 | | 155 | See | | | |
59,703 |
DRB1*15:03 | | India Northeast Mech | | 0 | | 63 | See | | | |
59,704 |
DRB1*15:03 | | India Northeast Rajbanshi | | 0 | | 98 | See | | | |
59,705 |
DRB1*15:03 | | India Northeast Rastogi | | 0.0180 | | 196 | See | | | |
59,706 |
DRB1*15:03 | | India Northeast Shia | | 0.0050 | | 190 | See | | | |
59,707 |
DRB1*15:03 | | India Northeast Sunni | | 0.0100 | | 188 | See | | | |
59,708 |
DRB1*15:03 | | India Northeast Vaish | | 0.0170 | | 198 | See | | | |
59,709 |
DRB1*15:03 | | India Uttar Pradesh | | 0.0150 | | 202 | See | | | |
59,710 |
DRB1*15:03 | | Indonesia Moluccan Islands | | 0 | | 24 | See | | | |
59,711 |
DRB1*15:03 | | Indonesia Nusa Tenggara Islands | | 0 | | 49 | See | | | |
59,712 |
DRB1*15:03 | | Indonesia Singaporean | | 0.0300 | | 50 | See | | | |
59,713 |
DRB1*15:03 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
59,714 |
DRB1*15:03 | | Israel Arab | | 0.0050 | | 109 | See | | | |
59,715 |
DRB1*15:03 | | Israel Ethiopian Jews | | 0.1040 | | 122 | See | | | |
59,716 |
DRB1*15:03 | | Israel Iranian Jews | | 0 | | 101 | See | | | |
59,717 |
DRB1*15:03 | | Israel Libyan Jews | | 0 | | 119 | See | | | |
59,718 |
DRB1*15:03 | | Israel Yemenite Jews | | 0 | | 76 | See | | | |
59,719 |
DRB1*15:03 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
59,720 |
DRB1*15:03 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
59,721 |
DRB1*15:03 | | Italy pop 5 | | 0.0010 | | 975 | See | | | |
59,722 |
DRB1*15:03 | | Italy Rome | 1.0 | 0.0050 | | 100 | See | | | |
59,723 |
DRB1*15:03 | | Jamaica | | 0.2010 | | 132 | See | | | |
59,724 |
DRB1*15:03 | | Macedonia pop 1 | | 0 | | 158 | See | | | |
59,725 |
DRB1*15:03 | | Madeira pop 2 | | 0.0030 | | 173 | See | | | |
59,726 |
DRB1*15:03 | | Malaysia | | 0 | | 74 | See | | | |
59,727 |
DRB1*15:03 | | Martinique | | 0.0800 | | 100 | See | | | |
59,728 |
DRB1*15:03 | | Mexico Guanajuato and Jalisco Mestizo | 1.0 | 0.0050 | | 101 | See | | | |
59,729 |
DRB1*15:03 | | Mexico Highlands Mestizos | 1.3 | 0.0060 | | 160 | See | | | |
59,730 |
DRB1*15:03 | | Mexico Mexico City Mestizo pop 2 | | 0.0021 | | 234 | See | | | |
59,731 |
DRB1*15:03 | | Morocco | | 0.0100 | | 96 | See | | | |
59,732 |
DRB1*15:03 | | Morocco Nador Metalsa | | 0.0050 | | 99 | See | | | |
59,733 |
DRB1*15:03 | | Morocco Settat Chaouya | | 0.0150 | | 98 | See | | | |
59,734 |
DRB1*15:03 | | Papua New Guinea Highland | | 0 | | 94 | See | | | |
59,735 |
DRB1*15:03 | | Papua New Guinea Lowland | | 0.2080 | | 47 | See | | | |
59,736 |
DRB1*15:03 | | Papua New Guinea Lowland Wosera | | 0 | | 79 | See | | | |
59,737 |
DRB1*15:03 | | Philippines | | 0 | | 34 | See | | | |
59,738 |
DRB1*15:03 | | Poland DKMS | | 0.0002 | | 20,653 | See | | | |
59,739 |
DRB1*15:03 | | Rwanda | | 0.1680 | | 280 | See | | | |
59,740 |
DRB1*15:03 | | Samoa | | 0 | | 29 | See | | | |
59,741 |
DRB1*15:03 | | Sao Tome Island Angolar | | 0.1090 | | 32 | See | | | |
59,742 |
DRB1*15:03 | | Sao Tome Island Forro | | 0.1100 | | 66 | See | | | |
59,743 |
DRB1*15:03 | | Senegal Dakar | 4.4 | 0.0220 | | 112 | See | | | |
59,744 |
DRB1*15:03 | | Slovenia | 0.0 | 0 | | 100 | See | | | |
59,745 |
DRB1*15:03 | | South Korea pop 2 | 0.0 | 0 | | 207 | See | | | |
59,746 |
DRB1*15:03 | | South Korea pop 3 | | 0 | | 485 | See | | | |
59,747 |
DRB1*15:03 | | Spain Barcelona | 0.1 | 0.0005 | | 941 | See | | | |
59,748 |
DRB1*15:03 | | Spain Murcia | | 0 | | 173 | See | | | |
59,749 |
DRB1*15:03 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
59,750 |
DRB1*15:03 | | Tunisia | 3.0 | 0.0150 | | 100 | See | | | |
59,751 |
DRB1*15:03 | | Tunisia pop 3 | | 0.0390 | | 104 | See | | | |
59,752 |
DRB1*15:03 | | USA African American pop 3 | | 0.1220 | | 564 | See | | | |
59,753 |
DRB1*15:03 | | USA African American pop 4 | | 0.1175 | | 2,411 | See | | | |
59,754 |
DRB1*15:03 | | USA African American pop 7 | | 0.1220 | | 193 | See | | | |
59,755 |
DRB1*15:03 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
59,756 |
DRB1*15:03 | | USA Asian pop 2 | | 0.0006 | | 1,772 | See | | | |
59,757 |
DRB1*15:03 | | USA Caucasian Houston | 0.0 | 0 | | 194 | See | | | |
59,758 |
DRB1*15:03 | | USA Caucasian Pittsburgh | 0.0 | 0 | | 177 | See | | | |
59,759 |
DRB1*15:03 | | USA Caucasian pop 4 | | 0.0010 | | 1,070 | See | | | |
59,760 |
DRB1*15:03 | | USA Caucasian pop 5 | | 0.0020 | | 268 | See | | | |
59,761 |
DRB1*15:03 | | USA Eastern European | | 0.0020 | | 558 | See | | | |
59,762 |
DRB1*15:03 | | USA Hispanic pop 2 | | 0.0113 | | 1,999 | See | | | |
59,763 |
DRB1*15:03 | | USA Mexican American Mestizo | | 0.0120 | | 553 | See | | | |
59,764 |
DRB1*15:03 | | USA Mexican American Mestizo pop 3 | | 0.0040 | | 116 | See | | | |
59,765 |
DRB1*15:03 | | USA Southern California Mestizo | 2.7 | 0.0135 | | 73 | See | | | |
59,766 |
DRB1*15:03:01:01 | | Saudi Arabia pop 5 | 3.8 | 0.0190 | | 158 | See | | | |
59,767 |
DRB1*15:04 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
59,768 |
DRB1*15:04 | | Brazil Kaingang | | 0 | | 235 | See | | | |
59,769 |
DRB1*15:04 | | Brazil North East Mixed | | 0 | | 205 | See | | | |
59,770 |
DRB1*15:04 | | Bulgaria | | 0 | | 55 | See | | | |
59,771 |
DRB1*15:04 | | Central African Republic Aka Pygmy | 0.0 | 0 | | 93 | See | | | |
59,772 |
DRB1*15:04 | | China Beijing Shijiazhuang Tianjian Han | | 0.0020 | | 618 | See | | | |
59,773 |
DRB1*15:04 | | China Guizhou Province Miao | | 0 | | 85 | See | | | |
59,774 |
DRB1*15:04 | | China Lijiang Naxi | | 0.0370 | | 100 | See | | | |
59,775 |
DRB1*15:04 | | China Shandong Province Han | | 0.0050 | | 98 | See | | | |
59,776 |
DRB1*15:04 | | China Southwest Dai | | 0.0040 | | 124 | See | | | |
59,777 |
DRB1*15:04 | | China Urumqi Uyghur | 0.0 | 0 | | 57 | See | | | |
59,778 |
DRB1*15:04 | | China Yunnan Province Bai | | 0.0080 | | 128 | See | | | |
59,779 |
DRB1*15:04 | | China Yunnan Province Jinuo | | 0.0050 | | 109 | See | | | |
59,780 |
DRB1*15:04 | | China Yunnan Province Lisu | | 0.0360 | | 111 | See | | | |
59,781 |
DRB1*15:04 | | China Yunnan Province Nu | | 0.0950 | | 107 | See | | | |
59,782 |
DRB1*15:04 | | China Yunnan Province Wa | | 0.1340 | | 119 | See | | | |
59,783 |
DRB1*15:04 | | China Yunnan Province Yao | | 0.0080 | | 66 | See | | | |
59,784 |
DRB1*15:04 | | Germany DKMS - China minority | | 0.0008 | | 1,282 | See | | | |
59,785 |
DRB1*15:04 | | Germany DKMS - Croatia minority | | 0.0002 | | 2,057 | See | | | |
59,786 |
DRB1*15:04 | | Germany DKMS - Turkey minority | | 0.0001 | | 4,856 | See | | | |
59,787 |
DRB1*15:04 | | India Lucknow | 2.5 | 0.0120 | | 123 | See | | | |
59,788 |
DRB1*15:04 | | India North pop 2 | | 0.0090 | | 72 | See | | | |
59,789 |
DRB1*15:04 | | India Northeast Kayastha | | 0.0080 | | 190 | See | | | |
59,790 |
DRB1*15:04 | | India Northeast Lachung | | 0 | | 58 | See | | | |
59,791 |
DRB1*15:04 | | India Northeast Mathur | | 0.0130 | | 155 | See | | | |
59,792 |
DRB1*15:04 | | India Northeast Mech | | 0 | | 63 | See | | | |
59,793 |
DRB1*15:04 | | India Northeast Rajbanshi | | 0 | | 98 | See | | | |
59,794 |
DRB1*15:04 | | India Northeast Rastogi | | 0.0080 | | 196 | See | | | |
59,795 |
DRB1*15:04 | | India Northeast Shia | | 0.0050 | | 190 | See | | | |
59,796 |
DRB1*15:04 | | India Northeast Sunni | | 0.0030 | | 188 | See | | | |
59,797 |
DRB1*15:04 | | India Northeast Vaish | | 0.0080 | | 198 | See | | | |
59,798 |
DRB1*15:04 | | India Uttar Pradesh | | 0.0120 | | 202 | See | | | |
59,799 |
DRB1*15:04 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
59,800 |
DRB1*15:04 | | 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.