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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 |
34,001 |
DRB1*15:03 | | Germany pop 6 | | 0.0001 | | 8,862 | See | | | |
34,002 |
DRB1*15:03 | | Germany pop 8 | | 0.0004 | | 39,689 | See | | | |
34,003 |
DRB1*15:03 | | Greece pop3 | 0.4 | 0.0020 | | 246 | See | | | |
34,004 |
DRB1*15:03 | | Hong Kong Chinese BMDR | | 0.0001 | | 7,595 | See | | |
|
34,005 |
DRB1*15:03 | | Hong Kong Chinese cord blood registry | | 0.0003 | | 3,892 | See | | |
|
34,006 |
DRB1*15:03 | | India Northeast Kayastha | | 0.0210 | | 190 | See | | | |
34,007 |
DRB1*15:03 | | India Northeast Lachung | | 0 | | 58 | See | | | |
34,008 |
DRB1*15:03 | | India Northeast Mathur | | 0.0300 | | 155 | See | | | |
34,009 |
DRB1*15:03 | | India Northeast Mech | | 0 | | 63 | See | | | |
34,010 |
DRB1*15:03 | | India Northeast Rajbanshi | | 0 | | 98 | See | | | |
34,011 |
DRB1*15:03 | | India Northeast Rastogi | | 0.0180 | | 196 | See | | | |
34,012 |
DRB1*15:03 | | India Northeast Shia | | 0.0050 | | 190 | See | | | |
34,013 |
DRB1*15:03 | | India Northeast Sunni | | 0.0100 | | 188 | See | | | |
34,014 |
DRB1*15:03 | | India Northeast Vaish | | 0.0170 | | 198 | See | | | |
34,015 |
DRB1*15:03 | | India South UCBB | 0.0300 | 0.0002 | | 11,446 | See | | |
|
34,016 |
DRB1*15:03 | | India Tamil Nadu | | 0.0006 | | 2,492 | See | | |
|
34,017 |
DRB1*15:03 | | India Uttar Pradesh | | 0.0150 | | 202 | See | | | |
34,018 |
DRB1*15:03 | | India West UCBB | 0.0200 | 0.0000900 | | 5,829 | See | | |
|
34,019 |
DRB1*15:03 | | Indonesia Moluccan Islands | | 0 | | 24 | See | | | |
34,020 |
DRB1*15:03 | | Indonesia Nusa Tenggara Islands | | 0 | | 49 | See | | | |
34,021 |
DRB1*15:03 | | Indonesia Singaporean | | 0.0300 | | 50 | See | | | |
34,022 |
DRB1*15:03 | | Iran Fars Parsi | | 0.0070 | | 73 | See | | | |
34,023 |
DRB1*15:03 | | Iran Yazd Zoroastrian | | 0 | | 65 | See | | | |
34,024 |
DRB1*15:03 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
34,025 |
DRB1*15:03 | | Israel Arab | | 0.0050 | | 109 | See | | | |
34,026 |
DRB1*15:03 | | Israel Arab pop 2 | | 0.0147 | | 12,301 | See | | |
|
34,027 |
DRB1*15:03 | | Israel Argentina Jews | | 0.0002 | | 4,307 | See | | |
|
34,028 |
DRB1*15:03 | | Israel Ashkenazi Jews pop 3 | | 0.0002 | | 4,625 | See | | |
|
34,029 |
DRB1*15:03 | | Israel Druze | | 0.0002 | | 5,914 | See | | |
|
34,030 |
DRB1*15:03 | | Israel Ethiopia Jews | | 0.0990 | | 5,928 | See | | |
|
34,031 |
DRB1*15:03 | | Israel Ethiopian Jews | | 0.1040 | | 122 | See | | | |
34,032 |
DRB1*15:03 | | Israel Iranian Jews | | 0 | | 101 | See | | | |
34,033 |
DRB1*15:03 | | Israel Iraq Jews | | 0.0000380 | | 13,270 | See | | |
|
34,034 |
DRB1*15:03 | | Israel Libya Jews | | 0.0001 | | 3,739 | See | | |
|
34,035 |
DRB1*15:03 | | Israel Libyan Jews | | 0 | | 119 | See | | | |
34,036 |
DRB1*15:03 | | Israel Morocco Jews | | 0.0000950 | | 36,718 | See | | |
|
34,037 |
DRB1*15:03 | | Israel Poland Jews | | 0.0000360 | | 13,871 | See | | |
|
34,038 |
DRB1*15:03 | | Israel USA Jews | | 0.0008 | | 6,058 | See | | |
|
34,039 |
DRB1*15:03 | | Israel USSR Jews | | 0.0000660 | | 45,681 | See | | |
|
34,040 |
DRB1*15:03 | | Israel Yemenite Jews | | 0 | | 76 | See | | | |
34,041 |
DRB1*15:03 | | Israel YemenJews | | 0.0012 | | 15,542 | See | | |
|
34,042 |
DRB1*15:03 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
34,043 |
DRB1*15:03 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
34,044 |
DRB1*15:03 | | Italy pop 5 | | 0.0010 | | 975 | See | | | |
34,045 |
DRB1*15:03 | | Italy Rome | 1.0 | 0.0050 | | 100 | See | | | |
34,046 |
DRB1*15:03 | | Jamaica | | 0.2010 | | 132 | See | | | |
34,047 |
DRB1*15:03 | | Kenya, Nyanza Province, Luo tribe | 34.0 | 0.1850 | | 100 | See | | |
|
34,048 |
DRB1*15:03 | | Macedonia pop 1 | | 0 | | 158 | See | | | |
34,049 |
DRB1*15:03 | | Madeira pop 2 | | 0.0030 | | 173 | See | | | |
34,050 |
DRB1*15:03 | | Malaysia | | 0 | | 74 | See | | | |
34,051 |
DRB1*15:03 | | Malaysia Champa | 3.5 | 0.0170 | | 29 | See | | |
|
34,052 |
DRB1*15:03 | | Malaysia Kedah Kensiu | 4.8 | 0.0240 | | 21 | See | | |
|
34,053 |
DRB1*15:03 | | Malaysia Mandailing | 3.7 | 0.0190 | | 27 | See | | |
|
34,054 |
DRB1*15:03 | | Martinique | | 0.0800 | | 100 | See | | | |
34,055 |
DRB1*15:03 | | Mexico Guanajuato and Jalisco Mestizo | 1.0 | 0.0050 | | 101 | See | | | |
34,056 |
DRB1*15:03 | | Mexico Highlands Mestizos | 1.3 | 0.0060 | | 160 | See | | | |
34,057 |
DRB1*15:03 | | Mexico Mazatecan | | 0.0070 | | 89 | See | | | |
34,058 |
DRB1*15:03 | | Mexico Mexico City Mestizo pop 2 | | 0.0021 | | 234 | See | | | |
34,059 |
DRB1*15:03 | | Mexico Mexico City Mestizo population | | 0.0140 | | 143 | See | | |
|
34,060 |
DRB1*15:03 | | Mexico Mexico City Tlalpan | 0.3 | 0.0015 | | 330 | See | | |
|
34,061 |
DRB1*15:03 | | Mexico Mixtec | | 0.0100 | | 97 | See | | | |
34,062 |
DRB1*15:03 | | Mexico Oaxaca Jamiltepec Mixtec | | 0.0100 | | 96 | See | | |
|
34,063 |
DRB1*15:03 | | Mexico Veracruz Xalapa | 2.4 | 0.0119 | | 84 | See | | |
|
34,064 |
DRB1*15:03 | | Morocco | | 0.0100 | | 96 | See | | | |
34,065 |
DRB1*15:03 | | Morocco Atlantic Coast Chaouya | | 0.0150 | | 98 | See | | | |
34,066 |
DRB1*15:03 | | Morocco Nador Metalsa | | 0.0050 | | 99 | See | | | |
34,067 |
DRB1*15:03 | | Morocco Settat Chaouya | | 0.0150 | | 98 | See | | | |
34,068 |
DRB1*15:03 | | Netherlands Leiden | | 0.0010 | | 1,305 | See | | | |
34,069 |
DRB1*15:03 | | Nicaragua Managua | 4.2 | 0.0225 | | 339 | See | | |
|
34,070 |
DRB1*15:03 | | Nicaragua Mestizo (G) | 6.6 (*) | 0.0330 (*) | | 155 | See | | |
|
34,071 |
DRB1*15:03 | | Nigeria | 34.2 | 0.1907 | | 258 | See | | | |
34,072 |
DRB1*15:03 | | Panama | | 0.0376 | | 462 | See | | |
|
34,073 |
DRB1*15:03 | | Papua New Guinea Highland | | 0 | | 94 | See | | | |
34,074 |
DRB1*15:03 | | Papua New Guinea Lowland | | 0.2080 | | 47 | See | | | |
34,075 |
DRB1*15:03 | | Papua New Guinea Lowland Wosera | | 0 | | 79 | See | | | |
34,076 |
DRB1*15:03 | | Philippines | | 0 | | 34 | See | | | |
34,077 |
DRB1*15:03 | | Poland DKMS | | 0.0002 | | 20,653 | See | | | |
34,078 |
DRB1*15:03 | | Poland Wielkopolska Region | | 0.0100 | | 99 | See | | | |
34,079 |
DRB1*15:03 | | Russia Karelia | | 0.0009 | | 1,075 | See | | |
|
34,080 |
DRB1*15:03 | | Rwanda | | 0.1680 | | 280 | See | | | |
34,081 |
DRB1*15:03 | | Rwanda Kigali Hutu and Tutsi | | 0.1680 | | 281 | See | | | |
34,082 |
DRB1*15:03 | | Samoa | | 0 | | 29 | See | | | |
34,083 |
DRB1*15:03 | | Sao Tome Island Angolar | | 0.1090 | | 32 | See | | | |
34,084 |
DRB1*15:03 | | Sao Tome Island Forro | | 0.1100 | | 66 | See | | | |
34,085 |
DRB1*15:03 | | Saudi Arabia Guraiat and Hail | 2.9 | 0.0170 | | 213 | See | | | |
34,086 |
DRB1*15:03 | | Senegal Dakar | 4.4 | 0.0220 | | 112 | See | | | |
34,087 |
DRB1*15:03 | | Slovenia | 0.0 | 0 | | 100 | See | | | |
34,088 |
DRB1*15:03 | | South Africa Caucasians | | 0.0110 | | 102 | See | | | |
34,089 |
DRB1*15:03 | | South Africa Worcester | 16.0 | 0.0820 | | 159 | See | | |
|
34,090 |
DRB1*15:03 | | South Korea pop 10 | | 0.0001 | | 4,128 | See | | | |
34,091 |
DRB1*15:03 | | South Korea pop 2 | 0.0 | 0 | | 207 | See | | | |
34,092 |
DRB1*15:03 | | South Korea pop 3 | | 0 | | 485 | See | | | |
34,093 |
DRB1*15:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1 | 0.0006 | | 4,335 | See | | |
|
34,094 |
DRB1*15:03 | | Spain Barcelona | 0.1 | 0.0005 | | 941 | See | | | |
34,095 |
DRB1*15:03 | | Spain Murcia | | 0 | | 173 | See | | | |
34,096 |
DRB1*15:03 | | Sudan Mixed | 11.5 | 0.0600 | | 200 | See | | | |
34,097 |
DRB1*15:03 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
34,098 |
DRB1*15:03 | | Switzerland Basel | | 0 | | 1,888 | See | | | |
34,099 |
DRB1*15:03 | | Switzerland Bern | | 0 | | 3,545 | See | | | |
34,100 |
DRB1*15:03 | | Switzerland Geneva pop 2 | | 0 | | 1,267 | 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.