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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 |
139,101 |
DRB1*13:02 | | Israel Iranian Jews | | 0.1500 | | 101 | See | | | |
139,102 |
DRB1*13:02 | | Israel Iraq Jews | | 0.0798 | | 13,270 | See | | |
|
139,103 |
DRB1*13:02 | | Israel Kavkazi Jews | | 0.0352 | | 2,840 | See | | |
|
139,104 |
DRB1*13:02 | | Israel Libya Jews | | 0.0488 | | 3,739 | See | | |
|
139,105 |
DRB1*13:02 | | Israel Libyan Jews | | 0.0390 | | 119 | See | | | |
139,106 |
DRB1*13:02 | | Israel Moroccan Jews | | 0.0320 | | 113 | See | | | |
139,107 |
DRB1*13:02 | | Israel Morocco Jews | | 0.0543 | | 36,718 | See | | |
|
139,108 |
DRB1*13:02 | | Israel Non Ashkenazi Jews | | 0.0510 | | 80 | See | | | |
139,109 |
DRB1*13:02 | | Israel Poland Jews | | 0.0721 | | 13,871 | See | | |
|
139,110 |
DRB1*13:02 | | Israel Tunisia Jews | | 0.0546 | | 9,070 | See | | |
|
139,111 |
DRB1*13:02 | | Israel USA Jews | | 0.0707 | | 6,058 | See | | |
|
139,112 |
DRB1*13:02 | | Israel USSR Jews | | 0.0580 | | 45,681 | See | | |
|
139,113 |
DRB1*13:02 | | Israel Yemenite Jews | | 0.0400 | | 76 | See | | | |
139,114 |
DRB1*13:02 | | Israel YemenJews | | 0.0549 | | 15,542 | See | | |
|
139,115 |
DRB1*13:02 | | Italy Bergamo | 5.9 | 0.0300 | | 101 | See | | | |
139,116 |
DRB1*13:02 | | Italy Central | | 0.0290 | | 380 | See | | | |
139,117 |
DRB1*13:02 | | Italy North pop 3 | 7.2 | 0.0360 | | 97 | See | | | |
139,118 |
DRB1*13:02 | | Italy pop 2 | | 0.0190 | | 53 | See | | | |
139,119 |
DRB1*13:02 | | Italy pop 4 | 8.6 | 0.0440 | | 4,575 | See | | | |
139,120 |
DRB1*13:02 | | Italy pop 5 | | 0.0480 | | 975 | See | | | |
139,121 |
DRB1*13:02 | | Italy Rome | 12.0 | 0.0600 | | 100 | See | | | |
139,122 |
DRB1*13:02 | | Japan | | 0.0900 | | 50 | See | | | |
139,123 |
DRB1*13:02 | | Japan Central | | 0.0770 | | 371 | See | | | |
139,124 |
DRB1*13:02 | | Japan Hokkaido Ainu | | 0.0100 | | 50 | See | | | |
139,125 |
DRB1*13:02 | | Japan Hokkaido Wajin | 7.0 | 0.0356 | | 71 | See | | | |
139,126 |
DRB1*13:02 | | Japan Hyogo | 9.4 | 0.0470 | | 32 | See | | | |
139,127 |
DRB1*13:02 | | Japan Hyogo Osaka and Nagano | | 0.0740 | | 195 | See | | | |
139,128 |
DRB1*13:02 | | Japan Kyoto and Osaka | | 0.0550 | | 165 | See | | | |
139,129 |
DRB1*13:02 | | Japan Nagano | 15.8 | 0.0823 | | 57 | See | | | |
139,130 |
DRB1*13:02 | | Japan pop 11 | 17.7 | 0.0928 | | 62 | See | | | |
139,131 |
DRB1*13:02 | | Japan pop 16 | | 0.0595 | | 18,604 | See | | | |
139,132 |
DRB1*13:02 | | Japan pop 17 | | 0.0641 | | 3,078 | See | | | |
139,133 |
DRB1*13:02 | | Japan pop 2 | | 0.0530 | | 916 | See | | | |
139,134 |
DRB1*13:02 | | Japan pop 3 | | 0.0640 | | 1,018 | See | | | |
139,135 |
DRB1*13:02 | | Japan pop 4 | 12.4 | 0.0640 | | 525 | See | | | |
139,136 |
DRB1*13:02 | | Japan pop 6 | 11.6 | 0.0597 | | 129 | See | | | |
139,137 |
DRB1*13:02 | | Japan South | 13.6 | 0.0704 | | 125 | See | | | |
139,138 |
DRB1*13:02 | | Jordan Amman | | 0.0030 | | 146 | See | | | |
139,139 |
DRB1*13:02 | | Kenya, Nyanza Province, Luo tribe | 9.0 | 0.0450 | | 100 | See | | |
|
139,140 |
DRB1*13:02 | | Kiribati | | 0 | | 62 | See | | | |
139,141 |
DRB1*13:02 | | Kosovo | 12.9 | 0.0645 | | 124 | See | | |
|
139,142 |
DRB1*13:02 | | Lebanon Kafar Zubian | | 0.0160 | | 94 | See | | | |
139,143 |
DRB1*13:02 | | Lebanon Niha el Shouff | | 0.0510 | | 61 | See | | | |
139,144 |
DRB1*13:02 | | Lebanon Yuhmur | | 0.0190 | | 82 | See | | | |
139,145 |
DRB1*13:02 | | Macedonia pop 1 | | 0.0320 | | 158 | See | | | |
139,146 |
DRB1*13:02 | | Macedonia pop 2 | | 0.0440 | | 80 | See | | | |
139,147 |
DRB1*13:02 | | Macedonia pop 3 | | 0.0230 | | 172 | See | | | |
139,148 |
DRB1*13:02 | | Madeira pop 2 | | 0.0380 | | 173 | See | | | |
139,149 |
DRB1*13:02 | | Malaysia | | 0.0130 | | 74 | See | | | |
139,150 |
DRB1*13:02 | | Malaysia Jelebu Temuan | | 0.0420 | | 25 | See | | | |
139,151 |
DRB1*13:02 | | Malaysia Kelantan | 3.6 | 0.0180 | | 28 | See | | |
|
139,152 |
DRB1*13:02 | | Malaysia Patani | 8.0 | 0.0400 | | 25 | See | | |
|
139,153 |
DRB1*13:02 | | Malaysia Peninsular Chinese | 2.6 | 0.0129 | | 194 | See | | |
|
139,154 |
DRB1*13:02 | | Malaysia Peninsular Indian | 6.6 | 0.0332 | | 271 | See | | |
|
139,155 |
DRB1*13:02 | | Malaysia Peninsular Malay | 3.3 | 0.0163 | | 951 | See | | |
|
139,156 |
DRB1*13:02 | | Malaysia Perak Grik Jehai | | 0.0800 | | 25 | See | | | |
139,157 |
DRB1*13:02 | | Malaysia Sabah Dusun | | 0.0100 | | 48 | See | | | |
139,158 |
DRB1*13:02 | | Malaysia Sarawak Bau Bidayuh | | 0.0600 | | 25 | See | | | |
139,159 |
DRB1*13:02 | | Malaysia Sarawak Iban | | 0.0100 | | 51 | See | | | |
139,160 |
DRB1*13:02 | | Martinique | | 0.0500 | | 100 | See | | | |
139,161 |
DRB1*13:02 | | Mexico Chiapas Lacandon Mayans | | 0.0023 | | 218 | See | | |
|
139,162 |
DRB1*13:02 | | Mexico Chihuahua Chihuahua City Pop 2 | 1.1 | 0.0057 | | 88 | See | | |
|
139,163 |
DRB1*13:02 | | Mexico Guanajuato and Jalisco Mestizo | 5.0 | 0.0250 | | 101 | See | | | |
139,164 |
DRB1*13:02 | | Mexico Highlands Mestizos | 4.4 | 0.0220 | | 160 | See | | | |
139,165 |
DRB1*13:02 | | Mexico Mexico City Mestizo pop 2 | | 0.0214 | | 234 | See | | | |
139,166 |
DRB1*13:02 | | Mexico Mexico City Mestizo population | | 0.0105 | | 143 | See | | |
|
139,167 |
DRB1*13:02 | | Mexico Mexico City Tlalpan | 2.1 | 0.0106 | | 330 | See | | |
|
139,168 |
DRB1*13:02 | | Mexico Mixtec | | 0.0050 | | 97 | See | | | |
139,169 |
DRB1*13:02 | | Mexico Nahua/Aztec Santo Domingo Ocotitlan | | 0.0068 | | 73 | See | | |
|
139,170 |
DRB1*13:02 | | Mexico Nuevo Leon Mestizo | 2.5 | 0.0120 | | 40 | See | | | |
139,171 |
DRB1*13:02 | | Mexico Oaxaca Jamiltepec Mixtec | | 0.0050 | | 96 | See | | |
|
139,172 |
DRB1*13:02 | | Mexico Oaxaca Mixtec | | 0.0050 | | 103 | See | | | |
139,173 |
DRB1*13:02 | | Mexico Oaxaca Zapotec | | 0.0280 | | 90 | See | | | |
139,174 |
DRB1*13:02 | | Mexico Tixcacaltuyub Maya | | 0.0224 | | 67 | See | | |
|
139,175 |
DRB1*13:02 | | Mexico Veracruz Xalapa | 2.4 | 0.0119 | | 84 | See | | |
|
139,176 |
DRB1*13:02 | | Mongolia Hoton | | 0.0180 | | 85 | See | | | |
139,177 |
DRB1*13:02 | | Mongolia Khalkha | | 0.0350 | | 200 | See | | | |
139,178 |
DRB1*13:02 | | Mongolia Khalkha pop 2 | | 0.0150 | | 202 | See | | | |
139,179 |
DRB1*13:02 | | Mongolia Oold | | 0.0480 | | 104 | See | | | |
139,180 |
DRB1*13:02 | | Mongolia Tarialan Khoton | | 0.0180 | | 85 | See | | | |
139,181 |
DRB1*13:02 | | Mongolia Tsaatan | | 0.0560 | | 144 | See | | | |
139,182 |
DRB1*13:02 | | Mongolia Ulaanbaatar Khalkha | | 0.0370 | | 41 | See | | | |
139,183 |
DRB1*13:02 | | Morocco | | 0.0920 | | 96 | See | | | |
139,184 |
DRB1*13:02 | | Morocco Atlantic Coast Chaouya | | 0.0600 | | 98 | See | | | |
139,185 |
DRB1*13:02 | | Morocco Nador Metalsa | | 0.1110 | | 99 | See | | | |
139,186 |
DRB1*13:02 | | Morocco Settat Chaouya | | 0.0560 | | 98 | See | | | |
139,187 |
DRB1*13:02 | | Morocco Souss Region | | 0.0560 | | 98 | See | | | |
139,188 |
DRB1*13:02 | | Nauru | | 0.0150 | | 67 | See | | | |
139,189 |
DRB1*13:02 | | Netherlands | 11.4 | 0.0587 | | 447 | See | | | |
139,190 |
DRB1*13:02 | | Netherlands Leiden | | 0.0480 | | 1,305 | See | | | |
139,191 |
DRB1*13:02 | | Netherlands UMCU | 15.6 | 0.0781 | | 64 | See | | | |
139,192 |
DRB1*13:02 | | New Zealand Maori | | 0.0130 | | 200 | See | | | |
139,193 |
DRB1*13:02 | | New Zealand Maori with Admixed History | 1.9 | 0.0100 | | 105 | See | | |
|
139,194 |
DRB1*13:02 | | New Zealand Polynesians with Admixed History | 3.7 | 0.0190 | | 27 | See | | |
|
139,195 |
DRB1*13:02 | | Nicaragua Managua | 6.6 | 0.0344 | | 339 | See | | |
|
139,196 |
DRB1*13:02 | | Niue | | 0 | | 70 | See | | | |
139,197 |
DRB1*13:02 | | Norway | | 0.0500 | | 181 | See | | | |
139,198 |
DRB1*13:02 | | Pakistan Baloch | | 0 | | 66 | See | | | |
139,199 |
DRB1*13:02 | | Pakistan Brahui | | 0 | | 104 | See | | | |
139,200 |
DRB1*13:02 | | Pakistan Burusho | | 0 | | 92 | 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.