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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 |
101 |
A*11:01 | | Iran Yazd | | 0.1161 | | 56 | See | | |
|
102 |
A*11:01 | | Ireland Northern | 15.0 | 0.0800 | | 1,000 | See | | | |
103 |
A*11:01 | | Ireland South | 11.2 | 0.0620 | | 250 | See | | | |
104 |
A*11:01 | | Israel Arab Druze | | 0.1100 | | 101 | See | | | |
105 |
A*11:01 | | Israel Arab pop 2 | | 0.0513 | | 12,301 | See | | |
|
106 |
A*11:01 | | Israel Argentina Jews | | 0.0571 | | 4,307 | See | | |
|
107 |
A*11:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0640 | | 146 | See | | | |
108 |
A*11:01 | | Israel Ashkenazi Jews pop 3 | | 0.0523 | | 4,625 | See | | |
|
109 |
A*11:01 | | Israel Bukhara Jews | | 0.0276 | | 2,317 | See | | |
|
110 |
A*11:01 | | Israel Druze | | 0.0690 | | 5,914 | See | | |
|
111 |
A*11:01 | | Israel Ethiopia Jews | | 0.0012 | | 5,928 | See | | |
|
112 |
A*11:01 | | Israel Georgia Jews | | 0.0357 | | 4,471 | See | | |
|
113 |
A*11:01 | | Israel Iran Jews | | 0.0724 | | 8,153 | See | | |
|
114 |
A*11:01 | | Israel Iraq Jews | | 0.0936 | | 13,270 | See | | |
|
115 |
A*11:01 | | Israel Kavkazi Jews | | 0.0296 | | 2,840 | See | | |
|
116 |
A*11:01 | | Israel Libya Jews | | 0.0999 | | 3,739 | See | | |
|
117 |
A*11:01 | | Israel Morocco Jews | | 0.0365 | | 36,718 | See | | |
|
118 |
A*11:01 | | Israel Poland Jews | | 0.0518 | | 13,871 | See | | |
|
119 |
A*11:01 | | Israel Tunisia Jews | | 0.0748 | | 9,070 | See | | |
|
120 |
A*11:01 | | Israel USA Jews | | 0.0541 | | 6,058 | See | | |
|
121 |
A*11:01 | | Israel USSR Jews | | 0.0557 | | 45,681 | See | | |
|
122 |
A*11:01 | | Israel YemenJews | | 0.0247 | | 15,542 | See | | |
|
123 |
A*11:01 | | Italy North pop 3 | 15.4 | 0.0770 | | 97 | See | | | |
124 |
A*11:01 | | Italy pop 5 | | 0.0460 | | 975 | See | | | |
125 |
A*11:01 | | Japan Central | | 0.0820 | | 371 | See | | | |
126 |
A*11:01 | | Japan Hokkaido Ainu | | 0.0100 | | 50 | See | | | |
127 |
A*11:01 | | Japan pop 16 | | 0.0912 | | 18,604 | See | | | |
128 |
A*11:01 | | Japan pop 3 | | 0.1020 | | 1,018 | See | | | |
129 |
A*11:01 | | Japan pop 5 | | 0.1110 | | 117 | See | | | |
130 |
A*11:01 | | Jordan Amman | | 0.0790 | | 146 | See | | | |
131 |
A*11:01 | | Kenya Luo | | 0 | | 265 | See | | | |
132 |
A*11:01 | | Kenya Nandi | | 0 | | 240 | See | | | |
133 |
A*11:01 | | Kosovo | 8.1 | 0.0403 | | 124 | See | | |
|
134 |
A*11:01 | | Macedonia pop 4 | | 0.0490 | | 216 | See | | | |
135 |
A*11:01 | | Malaysia Champa | 27.6 | 0.1720 | | 29 | See | | |
|
136 |
A*11:01 | | Malaysia Jelebu Temuan | | 0.2710 | | 25 | See | | | |
137 |
A*11:01 | | Malaysia Kedah Baling Kensiu | | 0.3400 | | 25 | See | | | |
138 |
A*11:01 | | Malaysia Kedah Kensiu | 28.6 | 0.1430 | | 21 | See | | |
|
139 |
A*11:01 | | Malaysia Kelantan | 21.4 | 0.1610 | | 28 | See | | |
|
140 |
A*11:01 | | Malaysia Mandailing | 22.2 | 0.1300 | | 27 | See | | |
|
141 |
A*11:01 | | Malaysia Pahang Semai | 7.9 | 0.0390 | | 38 | See | | |
|
142 |
A*11:01 | | Malaysia Patani | 20.0 | 0.1200 | | 25 | See | | |
|
143 |
A*11:01 | | Malaysia Peninsular Chinese | 50.0 | 0.2964 | | 194 | See | | |
|
144 |
A*11:01 | | Malaysia Peninsular Indian | 24.4 | 0.1310 | | 271 | See | | |
|
145 |
A*11:01 | | Malaysia Peninsular Malay | 30.7 | 0.1714 | | 951 | See | | |
|
146 |
A*11:01 | | Malaysia Perak Grik Jehai | | 0.0400 | | 25 | See | | | |
147 |
A*11:01 | | Malaysia Sarawak Bau Bidayuh | | 0.1000 | | 25 | See | | | |
148 |
A*11:01 | | Mali Bandiagara | | 0 | | 138 | See | | | |
149 |
A*11:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 6.8 | 0.0341 | | 88 | See | | |
|
150 |
A*11:01 | | Mexico Mestizo | 7.3 | 0.0370 | | 41 | See | | | |
151 |
A*11:01 | | Mexico Mexico City Mestizo pop 2 | | 0.0214 | | 234 | See | | | |
152 |
A*11:01 | | Mexico Mexico City Mestizo population | | 0.0524 | | 143 | See | | |
|
153 |
A*11:01 | | Mexico Mexico City Tlalpan | 5.5 | 0.0273 | | 330 | See | | |
|
154 |
A*11:01 | | Mexico Mixtec | | 0.0050 | | 97 | See | | | |
155 |
A*11:01 | | Mexico Oaxaca Jamiltepec Mixtec | | 0.0050 | | 96 | See | | |
|
156 |
A*11:01 | | Mexico Oaxaca Mixtec | | 0.0290 | | 103 | See | | | |
157 |
A*11:01 | | Mexico Oaxaca Zapotec | | 0 | | 90 | See | | | |
158 |
A*11:01 | | Mexico Tixcacaltuyub Maya | | 0.0299 | | 67 | See | | |
|
159 |
A*11:01 | | Mexico Veracruz Xalapa | 3.6 | 0.0179 | | 84 | See | | |
|
160 |
A*11:01 | | Netherlands Leiden | | 0.0520 | | 1,305 | See | | | |
161 |
A*11:01 | | Netherlands UMCU | 9.4 | 0.0469 | | 64 | See | | | |
162 |
A*11:01 | | New Caledonia | | 0.1310 | | 65 | See | | | |
163 |
A*11:01 | | New Zealand Maori with Admixed History | 29.5 | 0.1670 | | 105 | See | | |
|
164 |
A*11:01 | | New Zealand Maori with Full Ancestry | 30.4 | 0.1630 | | 46 | See | | |
|
165 |
A*11:01 | | New Zealand Polynesians with Admixed History | 29.6 | 0.1480 | | 27 | See | | |
|
166 |
A*11:01 | | New Zealand Polynesians with Full Ancestry | 38.1 | 0.1910 | | 21 | See | | |
|
167 |
A*11:01 | | Nicaragua Managua | 5.1 | 0.0254 | | 339 | See | | |
|
168 |
A*11:01 | | Oman | 21.2 | 0.1140 | | 118 | See | | | |
169 |
A*11:01 | | Pakistan Baloch | | 0.2220 | | 66 | See | | | |
170 |
A*11:01 | | Pakistan Brahui | | 0.2520 | | 104 | See | | | |
171 |
A*11:01 | | Pakistan Burusho | | 0.1250 | | 92 | See | | | |
172 |
A*11:01 | | Pakistan Kalash | | 0.0080 | | 69 | See | | | |
173 |
A*11:01 | | Pakistan Karachi Parsi | | 0.1280 | | 91 | See | | | |
174 |
A*11:01 | | Pakistan Mixed Pathan | | 0.1630 | | 100 | See | | | |
175 |
A*11:01 | | Pakistan Mixed Sindhi | | 0.1960 | | 101 | See | | | |
176 |
A*11:01 | | Panama | | 0.0305 | | 462 | See | | |
|
177 |
A*11:01 | | Papua New Guinea East New Britain Rabaul | | 0.2600 | | 60 | See | | | |
178 |
A*11:01 | | Papua New Guinea Eastern Highlands Goroka Asaro | | 0.0260 | | 57 | See | | | |
179 |
A*11:01 | | Papua New Guinea Karimui Plateau Pawaia | | 0.1790 | | 80 | See | | | |
180 |
A*11:01 | | Papua New Guinea Madang | | 0.6360 | | 65 | See | | | |
181 |
A*11:01 | | Papua New Guinea West Schrader Ranges Haruai | | 0.5500 | | 55 | See | | | |
182 |
A*11:01 | | Papua New Guinea Wosera Abelam | | 0.3850 | | 131 | See | | | |
183 |
A*11:01 | | Philippines Ivatan | 14.0 | 0.0700 | | 50 | See | | | |
184 |
A*11:01 | | Poland | | 0.0680 | | 200 | See | | | |
185 |
A*11:01 | | Poland DKMS | | 0.0623 | | 20,653 | See | | | |
186 |
A*11:01 | | Portugal Azores Terceira Island | 13.2 | 0.0702 | | 130 | See | | |
|
187 |
A*11:01 | | Portugal Center | | 0.0500 | | 50 | See | | | |
188 |
A*11:01 | | Portugal North | | 0.0540 | | 46 | See | | | |
189 |
A*11:01 | | Portugal South | | 0.1330 | | 49 | See | | | |
190 |
A*11:01 | | Romania | 15.8 | 0.0820 | | 348 | See | | | |
191 |
A*11:01 | | Russia Belgorod region | 0.7 | 0.0033 | | 153 | See | | |
|
192 |
A*11:01 | | Russia Bering Island Aleuts | | 0.0433 | | 104 | See | | |
|
193 |
A*11:01 | | Russia Karelia | | 0.0628 | | 1,075 | See | | |
|
194 |
A*11:01 | | Russia Nizhny Novgorod, Russians | 0.5 | 0.0023 | | 1,510 | See | | |
|
195 |
A*11:01 | | Russia Tuva pop 2 | | 0.0870 | | 169 | See | | | |
196 |
A*11:01 | | Russian Federation Vologda Region | 3.4 | 0.0168 | | 119 | See | | |
|
197 |
A*11:01 | | Sao Tome Island Angolar | | 0.0310 | | 32 | See | | | |
198 |
A*11:01 | | Sao Tome Island Forro | | 0 | | 66 | See | | | |
199 |
A*11:01 | | Saudi Arabia Guraiat and Hail | 5.6 | 0.0280 | | 213 | See | | | |
200 |
A*11:01 | | Singapore Chinese | 47.7 | 0.2650 | | 149 | 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 386) records |
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