Please specify your search by selecting options from boxes. Then, click "Search" to find HLA allele frequencies
that match your criteria. Remember at least one option must be selected.
Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
101 |
A*02:01 | | Guinea Bissau Papel | | 0.0400 | | 25 | See | | | |
102 |
A*02:01 | | Hong Kong Chinese | 11.9 | 0.0620 | | 569 | See | | | |
103 |
A*02:01 | | Hong Kong Chinese BMDR | | 0.1891 | | 7,595 | See | | |
|
104 |
A*02:01 | | Hong Kong Chinese cord blood registry | | 0.1867 | | 3,892 | See | | |
|
105 |
A*02:01 | | India Andhra Pradesh Golla | | 0.0340 | | 111 | See | | | |
106 |
A*02:01 | | India Central UCBB | 7.7 | 0.0384 | | 4,204 | See | | |
|
107 |
A*02:01 | | India Delhi pop 2 | 3.3 | 0.0170 | | 90 | See | | | |
108 |
A*02:01 | | India East UCBB | 7.3 | 0.0364 | | 2,403 | See | | |
|
109 |
A*02:01 | | India Khandesh Region Pawra | | 0 | | 50 | See | | | |
110 |
A*02:01 | | India Mumbai Maratha | | 0.0190 | | 91 | See | | | |
111 |
A*02:01 | | India New Delhi | | 0.0610 | | 71 | See | | | |
112 |
A*02:01 | | India North pop 2 | | 0.0580 | | 72 | See | | | |
113 |
A*02:01 | | India North UCBB | 9.1 | 0.0455 | | 5,849 | See | | |
|
114 |
A*02:01 | | India Northeast UCBB | 7.8 | 0.0389 | | 296 | See | | |
|
115 |
A*02:01 | | India South UCBB | 9.3 | 0.0467 | | 11,446 | See | | |
|
116 |
A*02:01 | | India Tamil Nadu | | 0.0539 | | 2,492 | See | | |
|
117 |
A*02:01 | | India West Bhil | | 0 | | 50 | See | | | |
118 |
A*02:01 | | India West Coast Parsi | | 0 | | 50 | See | | | |
119 |
A*02:01 | | India West UCBB | 7.9 | 0.0395 | | 5,829 | See | | |
|
120 |
A*02:01 | | Indonesia Java Western | 12.7 | 0.0660 | | 236 | See | | | |
121 |
A*02:01 | | Iran Gorgan | | 0.1090 | | 64 | See | | |
|
122 |
A*02:01 | | Iran Kurd pop 2 | | 0.1250 | | 60 | See | | |
|
123 |
A*02:01 | | Iran Saqqez-Baneh Kurds | | 0.1250 | | 60 | See | | |
|
124 |
A*02:01 | | Iran Tabriz Azeris | | 0.1340 | | 97 | See | | |
|
125 |
A*02:01 | | Iran Yazd | | 0.1875 | | 56 | See | | |
|
126 |
A*02:01 | | Ireland Northern | 46.8 | 0.2740 | | 1,000 | See | | | |
127 |
A*02:01 | | Ireland South | 43.6 | 0.2460 | | 250 | See | | | |
128 |
A*02:01 | | Israel Arab Druze | | 0.1550 | | 101 | See | | | |
129 |
A*02:01 | | Israel Arab pop 2 | | 0.1498 | | 12,301 | See | | |
|
130 |
A*02:01 | | Israel Argentina Jews | | 0.1839 | | 4,307 | See | | |
|
131 |
A*02:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.1280 | | 146 | See | | | |
132 |
A*02:01 | | Israel Ashkenazi Jews pop 3 | | 0.1539 | | 4,625 | See | | |
|
133 |
A*02:01 | | Israel Bukhara Jews | | 0.0531 | | 2,317 | See | | |
|
134 |
A*02:01 | | Israel Druze | | 0.0302 | | 5,914 | See | | |
|
135 |
A*02:01 | | Israel Ethiopia Jews | | 0.0628 | | 5,928 | See | | |
|
136 |
A*02:01 | | Israel Georgia Jews | | 0.1520 | | 4,471 | See | | |
|
137 |
A*02:01 | | Israel Iran Jews | | 0.0126 | | 8,153 | See | | |
|
138 |
A*02:01 | | Israel Iraq Jews | | 0.0192 | | 13,270 | See | | |
|
139 |
A*02:01 | | Israel Kavkazi Jews | | 0.0998 | | 2,840 | See | | |
|
140 |
A*02:01 | | Israel Libya Jews | | 0.2012 | | 3,739 | See | | |
|
141 |
A*02:01 | | Israel Morocco Jews | | 0.0248 | | 36,718 | See | | |
|
142 |
A*02:01 | | Israel Poland Jews | | 0.1839 | | 13,871 | See | | |
|
143 |
A*02:01 | | Israel Tunisia Jews | | 0.0296 | | 9,070 | See | | |
|
144 |
A*02:01 | | Israel USA Jews | | 0.1896 | | 6,058 | See | | |
|
145 |
A*02:01 | | Israel USSR Jews | | 0.2168 | | 45,681 | See | | |
|
146 |
A*02:01 | | Israel YemenJews | | 0.0271 | | 15,542 | See | | |
|
147 |
A*02:01 | | Italy Bergamo | 46.5 | 0.2800 | | 101 | See | | | |
148 |
A*02:01 | | Italy North Pavia | | 0.0060 | | 81 | See | | | |
149 |
A*02:01 | | Italy North pop 3 | 53.8 | 0.2890 | | 97 | See | | | |
150 |
A*02:01 | | Italy pop 5 | | 0.2410 | | 975 | See | | | |
151 |
A*02:01 | | Japan Central | | 0.1150 | | 371 | See | | | |
152 |
A*02:01 | | Japan Hokkaido Ainu | | 0.2000 | | 50 | See | | | |
153 |
A*02:01 | | Japan pop 16 | | 0.1162 | | 18,604 | See | | | |
154 |
A*02:01 | | Japan pop 3 | | 0.1160 | | 1,018 | See | | | |
155 |
A*02:01 | | Japan pop 5 | | 0.1060 | | 117 | See | | | |
156 |
A*02:01 | | Jordan Amman | | 0.1340 | | 146 | See | | | |
157 |
A*02:01 | | Kenya Luo | | 0.1150 | | 265 | See | | | |
158 |
A*02:01 | | Kenya Nandi | | 0.1180 | | 240 | See | | | |
159 |
A*02:01 | | Kenya, Nyanza Province, Luo tribe | 27.0 | 0.1450 | | 100 | See | | |
|
160 |
A*02:01 | | Kosovo | 52.4 | 0.3186 | | 124 | See | | |
|
161 |
A*02:01 | | Malaysia Champa | 6.9 | 0.0340 | | 29 | See | | |
|
162 |
A*02:01 | | Malaysia Jelebu Temuan | | 0.1460 | | 25 | See | | |
|
163 |
A*02:01 | | Malaysia Kedah Baling Kensiu | | 0.2000 | | 25 | See | | |
|
164 |
A*02:01 | | Malaysia Kedah Kensiu | 57.0 | 0.4050 | | 21 | See | | |
|
165 |
A*02:01 | | Malaysia Kelantan | 3.6 | 0.0180 | | 28 | See | | |
|
166 |
A*02:01 | | Malaysia Mandailing | 55.6 | 0.2960 | | 27 | See | | |
|
167 |
A*02:01 | | Malaysia Pahang Semai | 10.5 | 0.0660 | | 38 | See | | |
|
168 |
A*02:01 | | Malaysia Patani | 16.0 | 0.1000 | | 25 | See | | |
|
169 |
A*02:01 | | Malaysia Peninsular Chinese | 25.3 | 0.1418 | | 194 | See | | |
|
170 |
A*02:01 | | Malaysia Peninsular Indian | 11.4 | 0.0627 | | 271 | See | | |
|
171 |
A*02:01 | | Malaysia Peninsular Malay | 11.6 | 0.0610 | | 951 | See | | |
|
172 |
A*02:01 | | Malaysia Perak Grik Jehai | | 0.1400 | | 25 | See | | |
|
173 |
A*02:01 | | Malaysia Sarawak Bau Bidayuh | | 0.0200 | | 25 | See | | |
|
174 |
A*02:01 | | Mali Bandiagara | | 0.0830 | | 138 | See | | | |
175 |
A*02:01 | | Mexico Chiapas Lacandon Mayans | | 0.0940 | | 218 | See | | |
|
176 |
A*02:01 | | Mexico Chichen Itza Maya (prehispanic) | | 0.0745 | | 47 | See | | |
|
177 |
A*02:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 46.6 | 0.2727 | | 88 | See | | |
|
178 |
A*02:01 | | Mexico Mestizo | 56.1 | 0.3410 | | 41 | See | | | |
179 |
A*02:01 | | Mexico Mexico City Mestizo pop 2 | | 0.2286 | | 234 | See | | | |
180 |
A*02:01 | | Mexico Mexico City Mestizo population | | 0.2028 | | 143 | See | | |
|
181 |
A*02:01 | | Mexico Mexico City Tlalpan | 44.5 | 0.2591 | | 330 | See | | |
|
182 |
A*02:01 | | Mexico Mixtec | | 0.2530 | | 97 | See | | | |
183 |
A*02:01 | | Mexico Oaxaca Jamiltepec Mixtec | | 0.2550 | | 96 | See | | |
|
184 |
A*02:01 | | Mexico Oaxaca Mixe | | 0.3110 | | 55 | See | | | |
185 |
A*02:01 | | Mexico Oaxaca Mixtec | | 0.2840 | | 103 | See | | | |
186 |
A*02:01 | | Mexico Oaxaca Zapotec | | 0.2840 | | 90 | See | | | |
187 |
A*02:01 | | Mexico Sonora Seri | | 0.5450 | | 34 | See | | | |
188 |
A*02:01 | | Mexico Tixcacaltuyub Maya | | 0.0299 | | 67 | See | | |
|
189 |
A*02:01 | | Mexico Veracruz Xalapa | 47.6 | 0.2738 | | 84 | See | | |
|
190 |
A*02:01 | | Netherlands Leiden | | 0.2920 | | 1,305 | See | | | |
191 |
A*02:01 | | Netherlands UMCU | 45.3 | 0.2812 | | 64 | See | | | |
192 |
A*02:01 | | New Caledonia | | 0.0240 | | 65 | See | | | |
193 |
A*02:01 | | New Zealand Maori with Admixed History | 16.2 | 0.0810 | | 105 | See | | |
|
194 |
A*02:01 | | New Zealand Maori with Full Ancestry | 6.5 | 0.0330 | | 46 | See | | |
|
195 |
A*02:01 | | New Zealand Polynesians with Admixed History | 22.2 | 0.1110 | | 27 | See | | |
|
196 |
A*02:01 | | New Zealand Polynesians with Full Ancestry | 19.0 | 0.0950 | | 21 | See | | |
|
197 |
A*02:01 | | Nicaragua Managua | 32.0 | 0.1766 | | 339 | See | | |
|
198 |
A*02:01 | | Oman | 39.8 | 0.2160 | | 118 | See | | | |
199 |
A*02:01 | | Pakistan Baloch | | 0.0950 | | 66 | See | | | |
200 |
A*02:01 | | Pakistan Brahui | | 0.1150 | | 104 | 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.
Displaying 101 to 200
(from 330) records |
|
Pages: |
|
|
1 2 3 4 of 4
|
|
|
|
|
|
|