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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 |
201 |
A*01:01 |  | Japan pop 5 | | 0.0180 |  | 117 | See |  |  | |
202 |
A*01:01 |  | Jordan Amman | | 0.0790 |  | 146 | See |  |  | |
203 |
A*01:01 |  | Kenya Luo | | 0.0740 |  | 265 | See |  |  | |
204 |
A*01:01 |  | Kenya Nandi | | 0.1180 |  | 240 | See |  |  | |
205 |
A*01:01 |  | Mali Bandiagara | | 0.0070 |  | 138 | See |  |  | |
206 |
A*01:01 |  | Mexico Mestizo | 14.6 | 0.0850 |  | 41 | See |  |  | |
207 |
A*01:01 |  | Mexico Mexico City Mestizo pop 2 | | 0.0363 |  | 234 | See |  |  | |
208 |
A*01:01 |  | Mexico Oaxaca Mixe | | 0.0190 |  | 55 | See |  |  | |
209 |
A*01:01 |  | Mexico Oaxaca Mixtec | | 0 |  | 103 | See |  |  | |
210 |
A*01:01 |  | Mexico Oaxaca Zapotec | | 0.0220 |  | 90 | See |  |  | |
211 |
A*01:01 |  | Oman | 14.4 | 0.0720 |  | 118 | See |  |  | |
212 |
A*01:01 |  | Pakistan Baloch | | 0.0300 |  | 66 | See |  |  | |
213 |
A*01:01 |  | Pakistan Brahui | | 0.0630 |  | 104 | See |  |  | |
214 |
A*01:01 |  | Pakistan Burusho | | 0.0540 |  | 92 | See |  |  | |
215 |
A*01:01 |  | Pakistan Kalash | | 0 |  | 69 | See |  |  | |
216 |
A*01:01 |  | Pakistan Karachi Parsi | | 0.0830 |  | 91 | See |  |  | |
217 |
A*01:01 |  | Pakistan Mixed Pathan | | 0.1280 |  | 100 | See |  |  | |
218 |
A*01:01 |  | Pakistan Mixed Sindhi | | 0.1330 |  | 101 | See |  |  | |
219 |
A*01:01 |  | Peru Titikaka Lake Uro | | 0.0050 |  | 105 | See |  |  | |
220 |
A*01:01 |  | Poland | | 0.1330 |  | 200 | See |  |  | |
221 |
A*01:01 |  | Poland DKMS | | 0.1377 |  | 20,653 | See |  |  | |
222 |
A*01:01 |  | Portugal Center | | 0.1300 |  | 50 | See |  |  | |
223 |
A*01:01 |  | Portugal North | | 0.0760 |  | 46 | See |  |  | |
224 |
A*01:01 |  | Portugal South | | 0.0510 |  | 49 | See |  |  | |
225 |
A*01:01 |  | Russia Tuva pop 2 | | 0.0660 |  | 169 | See |  |  | |
226 |
A*01:01 |  | Sao Tome Island Angolar | | 0.0470 |  | 32 | See |  |  | |
227 |
A*01:01 |  | Sao Tome Island Forro | | 0.0300 |  | 66 | See |  |  | |
228 |
A*01:01 |  | Senegal Niokholo Mandenka | | 0.0270 |  | 165 | See |  |  | |
229 |
A*01:01 |  | Singapore Chinese | 0.7 | 0.0030 |  | 149 | See |  |  | |
230 |
A*01:01 |  | South Africa Natal Zulu | 8.0 | 0.0400 |  | 100 | See |  |  | |
231 |
A*01:01 |  | South Korea pop 3 | | 0.0180 |  | 485 | See |  |  | |
232 |
A*01:01 |  | Sri Lanka Colombo Sinhalese | | 0.1090 |  | 101 | See |  |  | |
233 |
A*01:01 |  | Sweden Northern Sami | | 0.0830 |  | 154 | See |  |  | |
234 |
A*01:01 |  | Sweden Southern Sami | | 0.0930 |  | 130 | See |  |  | |
235 |
A*01:01 |  | Switzerland Aargau-Solothurn | | 0.1165 |  | 1,838 | See |  |  | |
236 |
A*01:01 |  | Taiwan Han Chinese | | 0.0040 |  | 504 | See |  |  | |
237 |
A*01:01 |  | Taiwan pop 2 | | 0.0060 |  | 364 | See |  |  | |
238 |
A*01:01 |  | Taiwan pop 3 | | 0.0120 |  | 212 | See |  |  | |
239 |
A*01:01 |  | Taiwan Tzu Chi Cord Blood Bank | | 0.0090 |  | 710 | See |  |  | |
240 |
A*01:01 |  | Thailand | | 0.0280 |  | 142 | See |  |  | |
241 |
A*01:01 |  | Tunisia | 21.0 | 0.1120 |  | 100 | See |  |  | |
242 |
A*01:01 |  | Uganda Kampala | | 0.0830 |  | 161 | See |  |  | |
243 |
A*01:01 |  | Uganda Kampala pop 2 | | 0.0660 |  | 175 | See |  |  | |
244 |
A*01:01 |  | USA African American pop 2 | | 0.0540 |  | 149 | See |  |  | |
245 |
A*01:01 |  | USA African American pop 4 | | 0.0474 |  | 2,411 | See |  |  | |
246 |
A*01:01 |  | USA Alaska Yupik | | 0.0040 |  | 252 | See |  |  | |
247 |
A*01:01 |  | USA Arizona Gila River Amerindian | | 0.0040 |  | 492 | See |  |  | |
248 |
A*01:01 |  | USA Asian pop 2 | | 0.0508 |  | 1,772 | See |  |  | |
249 |
A*01:01 |  | USA Caucasian pop 3 | | 0.1360 |  | 88 | See |  |  | |
250 |
A*01:01 |  | USA Caucasian pop 4 | | 0.1682 |  | 1,070 | See |  |  | |
251 |
A*01:01 |  | USA Hispanic pop 2 | | 0.0670 |  | 1,999 | See |  |  | |
252 |
A*01:01 |  | USA San Francisco Caucasian | | 0.1600 |  | 220 | See |  |  | |
253 |
A*01:01 |  | USA South Dakota Lakota Sioux | | 0.0120 |  | 302 | See |  |  | |
254 |
A*01:01 |  | Vietnam Hanoi Kinh pop 2 | | 0.0380 |  | 170 | See |  |  | |
255 |
A*01:01 |  | Zambia Lusaka | | 0.0350 |  | 44 | See |  |  | |
256 |
A*01:01:01 |  | Bulgaria | | 0.0730 |  | 55 | See |  |  | |
257 |
A*01:01:01 |  | Cape Verde Northwestern Islands | | 0.0480 |  | 62 | See |  |  | |
258 |
A*01:01:01 |  | Cape Verde Southeastern Islands | | 0.0480 |  | 62 | See |  |  | |
259 |
A*01:01:01 |  | China North Han | | 0.0710 |  | 105 | See |  |  | |
260 |
A*01:01:01 |  | China Tibet Region Tibetan | | 0.0220 |  | 158 | See |  |  | |
261 |
A*01:01:01 |  | Guinea Bissau | | 0.0460 |  | 65 | See |  |  | |
262 |
A*01:01:01 |  | Iran Baloch | | 0.0170 |  | 100 | See |  |  | |
263 |
A*01:01:01 |  | Madeira | | 0.0590 |  | 185 | See |  |  | |
264 |
A*01:01:01 |  | Mexico Guadalajara Mestizo pop 2 | | 0.0680 |  | 103 | See |  |  | |
265 |
A*01:01:01 |  | Morocco Nador Metalsa pop 2 | | 0.1370 |  | 73 | See |  |  | |
266 |
A*01:01:01 |  | Morocco Settat Chaouya | 25.6 | 0.1280 |  | 98 | See |  |  | |
267 |
A*01:01:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
268 |
A*01:01:01 |  | USA African American pop 3 | | 0.0440 |  | 564 | See |  |  | |
269 |
A*01:01:01 |  | USA Eastern European | | 0.1420 |  | 558 | See |  |  | |
270 |
A*01:01:01 |  | USA San Francisco Caucasian | | 0.1600 |  | 220 | See |  |  | |
271 |
A*01:01:01:01 |  | China Guangdong Province Meizhou Han | | 0.0150 |  | 100 | See |  |  | |
272 |
A*01:01:01:01 |  | Indonesia Java pop 2 | | 0.0280 |  | 36 | See |  |  | |
273 |
A*01:01:01:01 |  | Indonesia Sundanese and Javanese | | 0.0250 |  | 201 | See |  |  | |
274 |
A*01:01:01:01 |  | Saudi Arabia pop 5 | 4.4 | 0.0222 |  | 158 | See |  |  | |
275 |
A*01:01:01:01 |  | USA Mexican American Mestizo | | 0.0820 |  | 553 | See |  |  |
|
276 |
A*01:01:01:01 |  | USA San Francisco Caucasian | | 0.1600 |  | 220 | See |  |  | |
277 |
A*01:01:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
278 |
A*01:01:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
279 |
A*01:01:02 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
280 |
A*01:01:02 |  | Saudi Arabia pop 5 | 1.3 | 0.0063 |  | 158 | See |  |  | |
281 |
A*01:01:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
282 |
A*01:01:38L |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  |
|
283 |
A*01:02 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
284 |
A*01:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
285 |
A*01:02 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
286 |
A*01:02 |  | Cameroon Bamileke | | 0 |  | 77 | See |  |  | |
287 |
A*01:02 |  | Cameroon Beti | | 0.0030 |  | 174 | See |  |  | |
288 |
A*01:02 |  | Cameroon Sawa | | 0 |  | 13 | See |  |  | |
289 |
A*01:02 |  | Cape Verde Northwestern Islands | | 0 |  | 62 | See |  |  | |
290 |
A*01:02 |  | Cape Verde Southeastern Islands | | 0.0160 |  | 62 | See |  |  | |
291 |
A*01:02 |  | Central African Republic Mbenzele Pygmy | 0.0 | 0 |  | 36 | See |  |  | |
292 |
A*01:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
293 |
A*01:02 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
294 |
A*01:02 |  | Cuba Caucasian | 0.0 | 0 |  | 70 | See |  |  | |
295 |
A*01:02 |  | Cuba Mixed Race | 0.0 | 0 |  | 42 | See |  |  | |
296 |
A*01:02 |  | Germany DKMS - Croatia minority | | 0.0002 |  | 2,057 | See |  |  | |
297 |
A*01:02 |  | Germany DKMS - Greece minority | | 0.0003 |  | 1,894 | See |  |  | |
298 |
A*01:02 |  | Germany DKMS - Italy minority | | 0.0022 |  | 1,159 | See |  |  | |
299 |
A*01:02 |  | Germany DKMS - Portugal minority | | 0.0013 |  | 1,176 | See |  |  | |
300 |
A*01:02 |  | Germany DKMS - Spain minority | | 0.0027 |  | 1,107 | 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 201 to 300
(from 60,683) records |
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