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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*01 |  | South Korea pop 8 | | 0.0190 |  | 7,096 | See |  |  | |
102 |
A*01 |  | Spain Arratia Valley Basque | | 0.1920 |  | 83 | See |  |  | |
103 |
A*01 |  | Spain Catalonia Girona | | 0.0860 |  | 88 | See |  |  | |
104 |
A*01 |  | Spain Gipuzkoa Basque | | 0.1350 |  | 100 | See |  |  | |
105 |
A*01 |  | Spain Ibiza | | 0.1380 |  | 88 | See |  |  | |
106 |
A*01 |  | Spain Majorca | | 0.1060 |  | 407 | See |  |  | |
107 |
A*01 |  | Spain Majorca and Minorca | | 0.0930 |  | 90 | See |  |  | |
108 |
A*01 |  | Spain Majorcans Jews | | 0.1590 |  | 103 | See |  |  | |
109 |
A*01 |  | Spain Minorca | | 0.0600 |  | 94 | See |  |  | |
110 |
A*01 |  | Spain Murcia | | 0.0950 |  | 173 | See |  |  | |
111 |
A*01 |  | Spain North Cabuerniga | | 0.0760 |  | 95 | See |  |  | |
112 |
A*01 |  | Spain North Cantabria | | 0.1080 |  | 83 | See |  |  | |
113 |
A*01 |  | Spain Pas Valley | | 0.0380 |  | 88 | See |  |  | |
114 |
A*01 |  | Sweden Stockholm | 25.7 | 0.1360 |  | 1,347 | See |  |  | |
115 |
A*01 |  | Sweden Uppsala | 24.3 | 0.1299 |  | 300 | See |  |  | |
116 |
A*01 |  | Taiwan Aborigine | | 0 |  | 111 | See |  |  | |
117 |
A*01 |  | Taiwan Chinese immigrants from Middle China | | 0.0090 |  | 211 | See |  |  | |
118 |
A*01 |  | Taiwan Chinese immigrants from North China | | 0.0300 |  | 152 | See |  |  | |
119 |
A*01 |  | Taiwan Chinese immigrants from South China | | 0.0150 |  | 172 | See |  |  | |
120 |
A*01 |  | Taiwan Hakka pop 2 | | 0.0020 |  | 714 | See |  |  | |
121 |
A*01 |  | Taiwan Minnan and Hakka | | 0.0030 |  | 190 | See |  |  | |
122 |
A*01 |  | Taiwan Minnan pop 2 | | 0.0030 |  | 7,137 | See |  |  | |
123 |
A*01 |  | Thailand Northeast | | 0.0240 |  | 66 | See |  |  | |
124 |
A*01 |  | Thailand Northeast pop 2 | | 0.0160 |  | 400 | See |  |  | |
125 |
A*01 |  | Thailand pop 4 | | 0.0220 |  | 16,807 | See |  |  | |
126 |
A*01 |  | Tunisia Ghannouch | | 0.1100 |  | 82 | See |  |  | |
127 |
A*01 |  | Tunisia pop 3 | | 0.0770 |  | 104 | See |  |  | |
128 |
A*01 |  | Turkey pop 2 | | 0.0660 |  | 228 | See |  |  | |
129 |
A*01 |  | United Kingdom pop 2 | | 0.2050 |  | 101 | See |  |  | |
130 |
A*01 |  | USA OPTN African American | | 0.0550 |  | 1,510 | See |  |  | |
131 |
A*01 |  | USA OPTN Asian | | 0.0320 |  | 261 | See |  |  | |
132 |
A*01 |  | USA OPTN Caucasian | | 0.1570 |  | 8,525 | See |  |  | |
133 |
A*01 |  | USA OPTN Hispanic | | 0.0630 |  | 1,580 | See |  |  | |
134 |
A*01 |  | Venezuela Caracas Mestizo | | 0.0700 |  | 50 | See |  |  | |
135 |
A*01 |  | Venezuela Colonia Tovar | | 0.1221 |  | 86 | See |  |  | |
136 |
A*01 |  | Vietnam Hanoi | | 0.0300 |  | 50 | See |  |  | |
137 |
A*01 |  | Wales | 37.4 | 0.2110 |  | 1,798 | See |  |  | |
138 |
A*01:01 |  | Australia Cape York Peninsula Aborigine | | 0.0530 |  | 103 | See |  |  | |
139 |
A*01:01 |  | Australia Groote Eylandt Aborigine | | 0.0270 |  | 75 | See |  |  | |
140 |
A*01:01 |  | Australia New South Wales Caucasian | | 0.1870 |  | 134 | See |  |  | |
141 |
A*01:01 |  | Australia Yuendumu Aborigine | | 0.0080 |  | 191 | See |  |  | |
142 |
A*01:01 |  | Azores Central Islands | | 0.0800 |  | 59 | See |  |  | |
143 |
A*01:01 |  | Azores Oriental Islands | | 0.1150 |  | 43 | See |  |  | |
144 |
A*01:01 |  | Belgium | 29.2 | 0.1550 |  | 99 | See |  |  | |
145 |
A*01:01 |  | Brazil Belo Horizonte Caucasian | 13.7 | 0.0790 |  | 95 | See |  |  | |
146 |
A*01:01 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
147 |
A*01:01 |  | Cameroon Bamileke | | 0.0260 |  | 77 | See |  |  | |
148 |
A*01:01 |  | Cameroon Beti | | 0.0110 |  | 174 | See |  |  | |
149 |
A*01:01 |  | Cameroon Sawa | | 0 |  | 13 | See |  |  | |
150 |
A*01:01 |  | Cameroon Yaounde | | 0.0110 |  | 92 | See |  |  | |
151 |
A*01:01 |  | Central African Republic Mbenzele Pygmy | 0.0 | 0 |  | 36 | See |  |  | |
152 |
A*01:01 |  | China Beijing | | 0.0370 |  | 67 | See |  |  | |
153 |
A*01:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0340 |  | 618 | See |  |  | |
154 |
A*01:01 |  | China Canton Han | | 0.0060 |  | 264 | See |  |  | |
155 |
A*01:01 |  | China Guangzhou | | 0.0100 |  | 102 | See |  |  | |
156 |
A*01:01 |  | China Guizhou Province Bouyei | | 0.0050 |  | 109 | See |  |  | |
157 |
A*01:01 |  | China Guizhou Province Miao pop 2 | | 0 |  | 85 | See |  |  | |
158 |
A*01:01 |  | China Guizhou Province Shui | | 0 |  | 153 | See |  |  | |
159 |
A*01:01 |  | China Inner Mongolia Region | | 0.0540 |  | 102 | See |  |  | |
160 |
A*01:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
161 |
A*01:01 |  | China Qinghai Province Hui | | 0.0550 |  | 110 | See |  |  | |
162 |
A*01:01 |  | China Yunnan Province Han | | 0.0150 |  | 101 | See |  |  | |
163 |
A*01:01 |  | Cuba Caucasian | 15.7 | 0.0790 |  | 70 | See |  |  | |
164 |
A*01:01 |  | Cuba Mixed Race | 14.3 | 0.0710 |  | 42 | See |  |  | |
165 |
A*01:01 |  | England North West | 38.6 | 0.2080 |  | 298 | See |  |  | |
166 |
A*01:01 |  | Georgia Svaneti Region Svan | | 0.0560 |  | 80 | See |  |  | |
167 |
A*01:01 |  | Germany DKMS - Austria minority | | 0.1561 |  | 1,698 | See |  |  | |
168 |
A*01:01 |  | Germany DKMS - Bosnia and Herzegovina minority | | 0.1513 |  | 1,028 | See |  |  | |
169 |
A*01:01 |  | Germany DKMS - China minority | | 0.0380 |  | 1,282 | See |  |  | |
170 |
A*01:01 |  | Germany DKMS - Croatia minority | | 0.1213 |  | 2,057 | See |  |  | |
171 |
A*01:01 |  | Germany DKMS - France minority | | 0.1376 |  | 1,406 | See |  |  | |
172 |
A*01:01 |  | Germany DKMS - Greece minority | | 0.1038 |  | 1,894 | See |  |  | |
173 |
A*01:01 |  | Germany DKMS - Italy minority | | 0.1330 |  | 1,159 | See |  |  | |
174 |
A*01:01 |  | Germany DKMS - Netherlands minority | | 0.1681 |  | 1,374 | See |  |  | |
175 |
A*01:01 |  | Germany DKMS - Portugal minority | | 0.1158 |  | 1,176 | See |  |  | |
176 |
A*01:01 |  | Germany DKMS - Romania minority | | 0.1457 |  | 1,234 | See |  |  | |
177 |
A*01:01 |  | Germany DKMS - Spain minority | | 0.1189 |  | 1,107 | See |  |  | |
178 |
A*01:01 |  | Germany DKMS - Turkey minority | | 0.1032 |  | 4,856 | See |  |  | |
179 |
A*01:01 |  | Germany DKMS - United Kingdom minority | | 0.1803 |  | 1,043 | See |  |  | |
180 |
A*01:01 |  | Germany pop 6 | | 0.1541 |  | 8,862 | See |  |  | |
181 |
A*01:01 |  | Ghana Ga-Adangbe | 4.6 | 0.0229 |  | 131 | See |  |  | |
182 |
A*01:01 |  | Greece pop 6 | | 0.1136 |  | 242 | See |  |  | |
183 |
A*01:01 |  | Guinea Bissau Balanta | | 0.0210 |  | 48 | See |  |  | |
184 |
A*01:01 |  | Guinea Bissau Bijago | | 0.0220 |  | 23 | See |  |  | |
185 |
A*01:01 |  | Guinea Bissau Fula | | 0.0810 |  | 31 | See |  |  | |
186 |
A*01:01 |  | Guinea Bissau Papel | | 0.0800 |  | 25 | See |  |  | |
187 |
A*01:01 |  | India Delhi pop 2 | 20.0 | 0.1050 |  | 90 | See |  |  | |
188 |
A*01:01 |  | India Khandesh Region Pawra | | 0.0500 |  | 50 | See |  |  | |
189 |
A*01:01 |  | India Mumbai Maratha | | 0.1230 |  | 91 | See |  |  | |
190 |
A*01:01 |  | India North pop 2 | | 0.1150 |  | 72 | See |  |  | |
191 |
A*01:01 |  | India Tamil Nadu Nadar | | 0.0900 |  | 61 | See |  |  | |
192 |
A*01:01 |  | India West Bhil | | 0 |  | 50 | See |  |  | |
193 |
A*01:01 |  | India West Coast Parsi | | 0.0100 |  | 50 | See |  |  | |
194 |
A*01:01 |  | Indonesia Java Western | 5.1 | 0.0260 |  | 236 | See |  |  | |
195 |
A*01:01 |  | Ireland Northern | 36.4 | 0.2020 |  | 1,000 | See |  |  | |
196 |
A*01:01 |  | Italy North pop 3 | 26.9 | 0.1540 |  | 97 | See |  |  | |
197 |
A*01:01 |  | Italy pop 5 | | 0.1020 |  | 975 | See |  |  | |
198 |
A*01:01 |  | Japan Central | | 0.0090 |  | 371 | See |  |  | |
199 |
A*01:01 |  | Japan Hokkaido Ainu | | 0 |  | 50 | See |  |  | |
200 |
A*01:01 |  | Japan pop 3 | | 0.0020 |  | 1,018 | 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
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