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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 |
B*58:01 | | India North UCBB | 9.6 | 0.0479 | | 5,849 | See | | |
|
102 |
B*58:01 | | India Northeast UCBB | 6.4 | 0.0321 | | 296 | See | | |
|
103 |
B*58:01 | | India South UCBB | 6.9 | 0.0347 | | 11,446 | See | | |
|
104 |
B*58:01 | | India Tamil Nadu | | 0.0366 | | 2,492 | See | | |
|
105 |
B*58:01 | | India West Bhil | | 0.0900 | | 50 | See | | | |
106 |
B*58:01 | | India West Coast Parsi | | 0.0300 | | 50 | See | | | |
107 |
B*58:01 | | India West UCBB | 7.7 | 0.0385 | | 5,829 | See | | |
|
108 |
B*58:01 | | Indonesia Java pop 2 | | 0.0420 | | 36 | See | | | |
109 |
B*58:01 | | Indonesia Java Western | 11.4 | 0.0590 | | 236 | See | | | |
110 |
B*58:01 | | Indonesia Sundanese and Javanese | | 0.0600 | | 201 | See | | | |
111 |
B*58:01 | | Iran Baloch | | 0.0400 | | 100 | See | | | |
112 |
B*58:01 | | Iran Gorgan | | 0.0080 | | 64 | See | | |
|
113 |
B*58:01 | | Iran Kurd pop 2 | | 0.0500 | | 60 | See | | |
|
114 |
B*58:01 | | Iran Saqqez-Baneh Kurds | | 0.0500 | | 60 | See | | |
|
115 |
B*58:01 | | Iran Tabriz Azeris | | 0.0258 | | 97 | See | | |
|
116 |
B*58:01 | | Iran Yazd | | 0.0089 | | 56 | See | | |
|
117 |
B*58:01 | | Ireland Northern | 0.6 | 0.0030 | | 1,000 | See | | | |
118 |
B*58:01 | | Ireland South | 0.8 | 0.0040 | | 250 | See | | | |
119 |
B*58:01 | | Israel Arab Druze | | 0.0150 | | 101 | See | | | |
120 |
B*58:01 | | Israel Arab pop 2 | | 0.0230 | | 12,301 | See | | |
|
121 |
B*58:01 | | Israel Argentina Jews | | 0.0187 | | 4,307 | See | | |
|
122 |
B*58:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0320 | | 146 | See | | | |
123 |
B*58:01 | | Israel Ashkenazi Jews pop 3 | | 0.0248 | | 4,625 | See | | |
|
124 |
B*58:01 | | Israel Bukhara Jews | | 0.0222 | | 2,317 | See | | |
|
125 |
B*58:01 | | Israel Druze | | 0.0170 | | 5,914 | See | | |
|
126 |
B*58:01 | | Israel Ethiopia Jews | | 0.0398 | | 5,928 | See | | |
|
127 |
B*58:01 | | Israel Georgia Jews | | 0.0037 | | 4,471 | See | | |
|
128 |
B*58:01 | | Israel Iran Jews | | 0.0205 | | 8,153 | See | | |
|
129 |
B*58:01 | | Israel Iraq Jews | | 0.0106 | | 13,270 | See | | |
|
130 |
B*58:01 | | Israel Kavkazi Jews | | 0.0121 | | 2,840 | See | | |
|
131 |
B*58:01 | | Israel Libya Jews | | 0.0100 | | 3,739 | See | | |
|
132 |
B*58:01 | | Israel Morocco Jews | | 0.0108 | | 36,718 | See | | |
|
133 |
B*58:01 | | Israel Poland Jews | | 0.0231 | | 13,871 | See | | |
|
134 |
B*58:01 | | Israel Tunisia Jews | | 0.0081 | | 9,070 | See | | |
|
135 |
B*58:01 | | Israel USA Jews | | 0.0219 | | 6,058 | See | | |
|
136 |
B*58:01 | | Israel USSR Jews | | 0.0151 | | 45,681 | See | | |
|
137 |
B*58:01 | | Israel YemenJews | | 0.0555 | | 15,542 | See | | |
|
138 |
B*58:01 | | Italy North pop 3 | 6.7 | 0.0330 | | 97 | See | | | |
139 |
B*58:01 | | Italy pop 5 | | 0.0160 | | 975 | See | | | |
140 |
B*58:01 | | Italy Sardinia pop3 | | 0.0640 | | 100 | See | | | |
141 |
B*58:01 | | Ivory Coast Adiopodoume Akan | | 0.0230 | | 44 | See | | | |
142 |
B*58:01 | | Japan Central | | 0.0040 | | 371 | See | | | |
143 |
B*58:01 | | Japan pop 16 | | 0.0058 | | 18,604 | See | | | |
144 |
B*58:01 | | Japan pop 3 | | 0.0050 | | 1,018 | See | | | |
145 |
B*58:01 | | Jordan Amman | | 0.0140 | | 146 | See | | | |
146 |
B*58:01 | | Kenya | | 0.0800 | | 144 | See | | | |
147 |
B*58:01 | | Kenya Luo | | 0.0700 | | 265 | See | | | |
148 |
B*58:01 | | Kenya Nandi | | 0.1000 | | 240 | See | | | |
149 |
B*58:01 | | Kenya, Nyanza Province, Luo tribe | 14.0 | 0.0750 | | 100 | See | | |
|
150 |
B*58:01 | | Kosovo | 2.4 | 0.0121 | | 124 | See | | |
|
151 |
B*58:01 | | Macedonia pop 4 | | 0.0090 | | 216 | See | | | |
152 |
B*58:01 | | Madeira | | 0.0160 | | 185 | See | | | |
153 |
B*58:01 | | Malaysia Champa | 10.3 | 0.0520 | | 29 | See | | |
|
154 |
B*58:01 | | Malaysia Jelebu Temuan | | 0.1040 | | 25 | See | | | |
155 |
B*58:01 | | Malaysia Kelantan | 7.1 | 0.0360 | | 28 | See | | |
|
156 |
B*58:01 | | Malaysia Mandailing | 3.7 | 0.0190 | | 27 | See | | |
|
157 |
B*58:01 | | Malaysia Patani | 20.0 | 0.1000 | | 25 | See | | |
|
158 |
B*58:01 | | Malaysia Peninsular Chinese | 22.2 | 0.1211 | | 194 | See | | |
|
159 |
B*58:01 | | Malaysia Peninsular Indian | 5.9 | 0.0295 | | 271 | See | | |
|
160 |
B*58:01 | | Malaysia Peninsular Malay | 11.3 | 0.0584 | | 951 | See | | |
|
161 |
B*58:01 | | Malaysia Perak Grik Jehai | | 0.0600 | | 25 | See | | | |
162 |
B*58:01 | | Malaysia Sarawak Bau Bidayuh | | 0.1400 | | 25 | See | | | |
163 |
B*58:01 | | Mali Bandiagara | | 0.0220 | | 138 | See | | | |
164 |
B*58:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 2.3 | 0.0114 | | 88 | See | | |
|
165 |
B*58:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.0100 | | 103 | See | | | |
166 |
B*58:01 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
167 |
B*58:01 | | Mexico Mexico City Mestizo pop 2 | | 0.0064 | | 234 | See | | | |
168 |
B*58:01 | | Mexico Mexico City Mestizo population | | 0.0070 | | 143 | See | | |
|
169 |
B*58:01 | | Mexico Mexico City Tlalpan | 0.3 | 0.0015 | | 330 | See | | |
|
170 |
B*58:01 | | Mexico Oaxaca Mixtec | | 0 | | 103 | See | | | |
171 |
B*58:01 | | Mexico Oaxaca Zapotec | | 0.0220 | | 90 | See | | | |
172 |
B*58:01 | | Mexico Veracruz Xalapa | 3.6 | 0.0179 | | 84 | See | | |
|
173 |
B*58:01 | | Morocco Atlantic Coast Chaouya | | 0.0340 | | 98 | See | | | |
174 |
B*58:01 | | Morocco Nador Metalsa pop 2 | | 0.0140 | | 73 | See | | | |
175 |
B*58:01 | | Morocco Settat Chaouya | 6.8 | 0.0340 | | 98 | See | | | |
176 |
B*58:01 | | Netherlands Leiden | | 0.0060 | | 1,305 | See | | | |
177 |
B*58:01 | | New Zealand Maori with Admixed History | 1.0 | 0.0050 | | 105 | See | | |
|
178 |
B*58:01 | | Nicaragua Managua | 3.6 | 0.0181 | | 339 | See | | |
|
179 |
B*58:01 | | Oman | 13.6 | 0.0680 | | 118 | See | | | |
180 |
B*58:01 | | Panama | | 0.0364 | | 462 | See | | |
|
181 |
B*58:01 | | Poland | | 0.0100 | | 200 | See | | | |
182 |
B*58:01 | | Poland DKMS | | 0.0065 | | 20,653 | See | | | |
183 |
B*58:01 | | Portugal Azores Terceira Island | 2.6 | 0.0132 | | 130 | See | | |
|
184 |
B*58:01 | | Portugal Center | | 0.0200 | | 50 | See | | | |
185 |
B*58:01 | | Portugal North | | 0.0220 | | 46 | See | | | |
186 |
B*58:01 | | Portugal South | | 0.0200 | | 49 | See | | | |
187 |
B*58:01 | | Romania | 2.6 | 0.0130 | | 348 | See | | | |
188 |
B*58:01 | | Russia Bering Island Aleuts | | 0.0048 | | 104 | See | | |
|
189 |
B*58:01 | | Russia Karelia | | 0.0094 | | 1,075 | See | | |
|
190 |
B*58:01 | | Russia Tuva pop 2 | | 0.0670 | | 169 | See | | | |
191 |
B*58:01 | | Sao Tome Island Angolar | | 0.0470 | | 32 | See | | | |
192 |
B*58:01 | | Sao Tome Island Forro | | 0.0300 | | 66 | See | | | |
193 |
B*58:01 | | Saudi Arabia Guraiat and Hail | 9.3 | 0.0460 | | 213 | See | | | |
194 |
B*58:01 | | Scotland Orkney | 0.0 | 0 | | 99 | See | | | |
195 |
B*58:01 | | Senegal Niokholo Mandenka | | 0.0690 | | 165 | See | | | |
196 |
B*58:01 | | Serbia pop 2 | 1.0 | 0.0050 | | 102 | See | | | |
197 |
B*58:01 | | Singapore Chinese | 20.1 | 0.1040 | | 149 | See | | | |
198 |
B*58:01 | | Singapore Chinese Han | | 0.0580 | | 94 | See | | | |
199 |
B*58:01 | | Singapore Javaneses | | 0.0310 | | 51 | See | | | |
200 |
B*58:01 | | Singapore Riau Malay | | 0.0500 | | 132 | 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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