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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 |
| 64,001 |
DRB1*15:04 |  | India Northeast Lachung | | 0 |  | 58 | See |  |  | |
| 64,002 |
DRB1*15:04 |  | India Northeast Mathur | | 0.0130 |  | 155 | See |  |  | |
| 64,003 |
DRB1*15:04 |  | India Northeast Mech | | 0 |  | 63 | See |  |  | |
| 64,004 |
DRB1*15:04 |  | India Northeast Rajbanshi | | 0 |  | 98 | See |  |  | |
| 64,005 |
DRB1*15:04 |  | India Northeast Rastogi | | 0.0080 |  | 196 | See |  |  | |
| 64,006 |
DRB1*15:04 |  | India Northeast Shia | | 0.0050 |  | 190 | See |  |  | |
| 64,007 |
DRB1*15:04 |  | India Northeast Sunni | | 0.0030 |  | 188 | See |  |  | |
| 64,008 |
DRB1*15:04 |  | India Northeast Vaish | | 0.0080 |  | 198 | See |  |  | |
| 64,009 |
DRB1*15:04 |  | India Uttar Pradesh | | 0.0120 |  | 202 | See |  |  | |
| 64,010 |
DRB1*15:04 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 64,011 |
DRB1*15:04 |  | Italy Rome | 0.0 | 0 |  | 100 | See |  |  | |
| 64,012 |
DRB1*15:04 |  | Japan Hyogo Osaka and Nagano | | 0 |  | 195 | See |  |  | |
| 64,013 |
DRB1*15:04 |  | Japan pop 16 | | 0.0000500 |  | 18,604 | See |  |  | |
| 64,014 |
DRB1*15:04 |  | Macedonia pop 1 | | 0 |  | 158 | See |  |  | |
| 64,015 |
DRB1*15:04 |  | Malaysia Mandailing | 7.4 | 0.0370 |  | 27 | See |  |  |
|
| 64,016 |
DRB1*15:04 |  | Mexico Highlands Mestizos | 0.0 | 0 |  | 160 | See |  |  | |
| 64,017 |
DRB1*15:04 |  | Mexico Nuevo Leon Mestizo | 0.0 | 0 |  | 40 | See |  |  | |
| 64,018 |
DRB1*15:04 |  | Mongolia Hoton | | 0 |  | 85 | See |  |  | |
| 64,019 |
DRB1*15:04 |  | Mongolia Khalkha pop 2 | | 0.0050 |  | 202 | See |  |  | |
| 64,020 |
DRB1*15:04 |  | Morocco Nador Metalsa | | 0 |  | 99 | See |  |  | |
| 64,021 |
DRB1*15:04 |  | Morocco Settat Chaouya | | 0 |  | 98 | See |  |  | |
| 64,022 |
DRB1*15:04 |  | Poland Wielkopolska Region | | 0.0100 |  | 99 | See |  |  | |
| 64,023 |
DRB1*15:04 |  | Slovenia | 0.0 | 0 |  | 100 | See |  |  | |
| 64,024 |
DRB1*15:04 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 64,025 |
DRB1*15:04 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 64,026 |
DRB1*15:04 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 64,027 |
DRB1*15:04 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 64,028 |
DRB1*15:04 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 64,029 |
DRB1*15:05 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
| 64,030 |
DRB1*15:05 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
| 64,031 |
DRB1*15:05 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 64,032 |
DRB1*15:05 |  | Central African Republic Aka Pygmy | 0.0 | 0 |  | 93 | See |  |  | |
| 64,033 |
DRB1*15:05 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0040 |  | 618 | See |  |  | |
| 64,034 |
DRB1*15:05 |  | China Urumqi Uyghur | 0.0 | 0 |  | 57 | See |  |  | |
| 64,035 |
DRB1*15:05 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 64,036 |
DRB1*15:05 |  | Georgia Caucasus Tbilisi | | 0.0042 |  | 119 | See |  |  |
|
| 64,037 |
DRB1*15:05 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 64,038 |
DRB1*15:05 |  | Italy Rome | 0.0 | 0 |  | 100 | See |  |  | |
| 64,039 |
DRB1*15:05 |  | Jamaica | | 0 |  | 132 | See |  |  | |
| 64,040 |
DRB1*15:05 |  | Macedonia pop 1 | | 0 |  | 158 | See |  |  | |
| 64,041 |
DRB1*15:05 |  | Macedonia pop 3 | | 0.0030 |  | 172 | See |  |  | |
| 64,042 |
DRB1*15:05 |  | Mexico Highlands Mestizos | 0.0 | 0 |  | 160 | See |  |  | |
| 64,043 |
DRB1*15:05 |  | Mexico Nuevo Leon Mestizo | 0.0 | 0 |  | 40 | See |  |  | |
| 64,044 |
DRB1*15:05 |  | Morocco Nador Metalsa | | 0 |  | 99 | See |  |  | |
| 64,045 |
DRB1*15:05 |  | Morocco Settat Chaouya | | 0 |  | 98 | See |  |  | |
| 64,046 |
DRB1*15:05 |  | Sao Tome Island Angolar | | 0.0160 |  | 32 | See |  |  | |
| 64,047 |
DRB1*15:05 |  | Sao Tome Island Forro | | 0 |  | 66 | See |  |  | |
| 64,048 |
DRB1*15:05 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 64,049 |
DRB1*15:05 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 64,050 |
DRB1*15:05 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 64,051 |
DRB1*15:05 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 64,052 |
DRB1*15:05 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 64,053 |
DRB1*15:05 |  | Vietnam Hanoi Kinh | | 0.0050 |  | 103 | See |  |  | |
| 64,054 |
DRB1*15:06 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
| 64,055 |
DRB1*15:06 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
| 64,056 |
DRB1*15:06 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 64,057 |
DRB1*15:06 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0010 |  | 618 | See |  |  | |
| 64,058 |
DRB1*15:06 |  | China Urumqi Uyghur | 0.0 | 0 |  | 57 | See |  |  | |
| 64,059 |
DRB1*15:06 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 64,060 |
DRB1*15:06 |  | India North pop 2 | | 0.0370 |  | 72 | See |  |  | |
| 64,061 |
DRB1*15:06 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 64,062 |
DRB1*15:06 |  | Italy Rome | 0.0 | 0 |  | 100 | See |  |  | |
| 64,063 |
DRB1*15:06 |  | Macedonia pop 1 | | 0 |  | 158 | See |  |  | |
| 64,064 |
DRB1*15:06 |  | Mexico Highlands Mestizos | 0.0 | 0 |  | 160 | See |  |  | |
| 64,065 |
DRB1*15:06 |  | Mexico Nuevo Leon Mestizo | 0.0 | 0 |  | 40 | See |  |  | |
| 64,066 |
DRB1*15:06 |  | Morocco Nador Metalsa | | 0 |  | 99 | See |  |  | |
| 64,067 |
DRB1*15:06 |  | Morocco Settat Chaouya | | 0 |  | 98 | See |  |  | |
| 64,068 |
DRB1*15:06 |  | Saudi Arabia Guraiat and Hail | 0.5 | 0.0020 |  | 213 | See |  |  | |
| 64,069 |
DRB1*15:06 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 64,070 |
DRB1*15:06 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 64,071 |
DRB1*15:06 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 64,072 |
DRB1*15:06 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 64,073 |
DRB1*15:06 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 64,074 |
DRB1*15:06 |  | Vietnam HoaBinh Muong | | 0.0120 |  | 83 | See |  |  | |
| 64,075 |
DRB1*15:07 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
| 64,076 |
DRB1*15:07 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
| 64,077 |
DRB1*15:07 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 64,078 |
DRB1*15:07 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0010 |  | 618 | See |  |  | |
| 64,079 |
DRB1*15:07 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 64,080 |
DRB1*15:07 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 64,081 |
DRB1*15:07 |  | Italy Rome | 0.0 | 0 |  | 100 | See |  |  | |
| 64,082 |
DRB1*15:07 |  | Macedonia pop 1 | | 0 |  | 158 | See |  |  | |
| 64,083 |
DRB1*15:07 |  | Mexico Highlands Mestizos | 0.0 | 0 |  | 160 | See |  |  | |
| 64,084 |
DRB1*15:07 |  | Mexico Nuevo Leon Mestizo | 0.0 | 0 |  | 40 | See |  |  | |
| 64,085 |
DRB1*15:07 |  | Morocco Nador Metalsa | | 0 |  | 99 | See |  |  | |
| 64,086 |
DRB1*15:07 |  | Morocco Settat Chaouya | | 0 |  | 98 | See |  |  | |
| 64,087 |
DRB1*15:07 |  | Sao Tome Island Angolar | | 0 |  | 32 | See |  |  | |
| 64,088 |
DRB1*15:07 |  | Sao Tome Island Forro | | 0.0080 |  | 66 | See |  |  | |
| 64,089 |
DRB1*15:07 |  | South Africa Caucasians | | 0.0050 |  | 102 | See |  |  | |
| 64,090 |
DRB1*15:07 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 64,091 |
DRB1*15:07 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 64,092 |
DRB1*15:07 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 64,093 |
DRB1*15:07 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 64,094 |
DRB1*15:07 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 64,095 |
DRB1*15:08 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
| 64,096 |
DRB1*15:08 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
| 64,097 |
DRB1*15:08 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 64,098 |
DRB1*15:08 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 64,099 |
DRB1*15:08 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 64,100 |
DRB1*15:08 |  | Italy Rome | 0.0 | 0 |  | 100 | 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.