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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 |  | Mexico Mexico City Mestizo pop 2 | | 0.0363 |  | 234 | See |  |  | |
202 |
A*01:01 |  | Zambia Lusaka | | 0.0350 |  | 44 | See |  |  | |
203 |
A*01:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0340 |  | 618 | See |  |  | |
204 |
A*01:01 |  | USA NMDP Vietnamese | | 0.0332 |  | 43,540 | See |  |  | |
205 |
A*01:01 |  | Singapore Riau Malay | | 0.0320 |  | 132 | See |  |  | |
206 |
A*01:01 |  | Iran Gorgan | | 0.0310 |  | 64 | See |  |  |
|
207 |
A*01:01 |  | Kenya | | 0.0310 |  | 144 | See |  |  | |
208 |
A*01:01 |  | Pakistan Baloch | | 0.0300 |  | 66 | See |  |  | |
209 |
A*01:01 |  | Sao Tome Island Forro | | 0.0300 |  | 66 | See |  |  | |
210 |
A*01:01 |  | Thailand | | 0.0280 |  | 142 | See |  |  | |
211 |
A*01:01 |  | Australia Groote Eylandt Aborigine | | 0.0270 |  | 75 | See |  |  | |
212 |
A*01:01 |  | Senegal Niokholo Mandenka | | 0.0270 |  | 165 | See |  |  | |
213 |
A*01:01 |  | Indonesia Java Western | 5.1 | 0.0260 |  | 236 | See |  |  | |
214 |
A*01:01 |  | Cameroon Bamileke | | 0.0260 |  | 77 | See |  |  | |
215 |
A*01:01 |  | China Uyghur HIV negative | | 0.0260 |  | 19 | See |  |  | |
216 |
A*01:01 |  | Malaysia Peninsular Malay | 4.5 | 0.0231 |  | 951 | See |  |  |
|
217 |
A*01:01 |  | China Hubei Han | 4.6 | 0.0229 |  | 3,732 | See |  |  |
|
218 |
A*01:01 |  | Ghana Ga-Adangbe | 4.6 | 0.0229 |  | 131 | See |  |  | |
219 |
A*01:01 |  | Guinea Bissau Bijago | | 0.0220 |  | 23 | See |  |  | |
220 |
A*01:01 |  | Mexico Oaxaca Zapotec | | 0.0220 |  | 90 | See |  |  | |
221 |
A*01:01 |  | Colombia North Chimila Amerindians | | 0.0212 |  | 47 | See |  |  |
|
222 |
A*01:01 |  | Guinea Bissau Balanta | | 0.0210 |  | 48 | See |  |  | |
223 |
A*01:01 |  | USA NMDP Korean | | 0.0208 |  | 77,584 | See |  |  | |
224 |
A*01:01 |  | Malaysia Patani | 4.0 | 0.0200 |  | 25 | See |  |  |
|
225 |
A*01:01 |  | Israel YemenJews | | 0.0199 |  | 15,542 | See |  |  |
|
226 |
A*01:01 |  | South Korea pop 10 | | 0.0195 |  | 4,128 | See |  |  | |
227 |
A*01:01 |  | Colombia North Wiwa El Encanto | | 0.0192 |  | 52 | See |  |  |
|
228 |
A*01:01 |  | Mexico Oaxaca Mixe | | 0.0190 |  | 55 | See |  |  | |
229 |
A*01:01 |  | Malaysia Kelantan | 3.6 | 0.0180 |  | 28 | See |  |  |
|
230 |
A*01:01 |  | Japan pop 5 | | 0.0180 |  | 117 | See |  |  | |
231 |
A*01:01 |  | South Korea pop 3 | | 0.0180 |  | 485 | See |  |  | |
232 |
A*01:01 |  | Mexico Veracruz Xalapa | 3.6 | 0.0179 |  | 84 | See |  |  |
|
233 |
A*01:01 |  | China Jiangsu Province Han | | 0.0174 |  | 334 | See |  |  | |
234 |
A*01:01 |  | Singapore SGVP Chinese CHS | | 0.0160 |  | 96 | See |  |  |
|
235 |
A*01:01 |  | China Yunnan Province Han | | 0.0150 |  | 101 | See |  |  | |
236 |
A*01:01 |  | USA Asian | | 0.0150 |  | 358 | See |  |  | |
237 |
A*01:01 |  | USA NMDP Chinese | | 0.0145 |  | 99,672 | See |  |  | |
238 |
A*01:01 |  | USA NMDP Filipino | | 0.0125 |  | 50,614 | See |  |  | |
239 |
A*01:01 |  | Singapore Chinese Han | | 0.0120 |  | 94 | See |  |  | |
240 |
A*01:01 |  | Taiwan pop 3 | | 0.0120 |  | 212 | See |  |  | |
241 |
A*01:01 |  | USA South Dakota Lakota Sioux | | 0.0120 |  | 302 | See |  |  | |
242 |
A*01:01 |  | Hong Kong Chinese | 2.1 | 0.0110 |  | 569 | See |  |  | |
243 |
A*01:01 |  | Cameroon Beti | | 0.0110 |  | 174 | See |  |  | |
244 |
A*01:01 |  | Cameroon Yaounde | | 0.0110 |  | 92 | See |  |  | |
245 |
A*01:01 |  | Venezuela Perja Mountain Bari | | 0.0110 |  | 55 | See |  |  | |
246 |
A*01:01 |  | China Guangzhou | | 0.0100 |  | 102 | See |  |  | |
247 |
A*01:01 |  | India West Coast Parsi | | 0.0100 |  | 50 | See |  |  | |
248 |
A*01:01 |  | Mexico Mixtec | | 0.0100 |  | 97 | See |  |  | |
249 |
A*01:01 |  | Mexico Oaxaca Jamiltepec Mixtec | | 0.0100 |  | 96 | See |  |  |
|
250 |
A*01:01 |  | USA NMDP Japanese | | 0.0100 |  | 24,582 | See |  |  | |
251 |
A*01:01 |  | Japan Central | | 0.0090 |  | 371 | See |  |  | |
252 |
A*01:01 |  | Taiwan Tzu Chi Cord Blood Bank | | 0.0090 |  | 710 | See |  |  | |
253 |
A*01:01 |  | Hong Kong Chinese cord blood registry | | 0.0090 |  | 3,892 | See |  |  |
|
254 |
A*01:01 |  | Hong Kong Chinese BMDR | | 0.0084 |  | 7,595 | See |  |  |
|
255 |
A*01:01 |  | Australia Yuendumu Aborigine | | 0.0080 |  | 191 | See |  |  | |
256 |
A*01:01 |  | Mali Bandiagara | | 0.0070 |  | 138 | See |  |  | |
257 |
A*01:01 |  | China Canton Han | | 0.0060 |  | 264 | See |  |  | |
258 |
A*01:01 |  | Taiwan pop 2 | | 0.0060 |  | 364 | See |  |  | |
259 |
A*01:01 |  | USA Arizona Pima | | 0.0060 |  | 100 | See |  |  | |
260 |
A*01:01 |  | Malaysia Peninsular Chinese | 1.0 | 0.0052 |  | 194 | See |  |  |
|
261 |
A*01:01 |  | Taiwan Minnan pop 1 | 1.0 | 0.0050 |  | 102 | See |  |  | |
262 |
A*01:01 |  | China Guizhou Province Bouyei | | 0.0050 |  | 109 | See |  |  | |
263 |
A*01:01 |  | China South Han | | 0.0050 |  | 284 | See |  |  | |
264 |
A*01:01 |  | Peru Titikaka Lake Uro | | 0.0050 |  | 105 | See |  |  | |
265 |
A*01:01 |  | Peru Titikaka Lake Uros | | 0.0050 |  | 105 | See |  |  |
|
266 |
A*01:01 |  | Singapore Thai | | 0.0050 |  | 100 | See |  |  | |
267 |
A*01:01 |  | USA Hawaii Okinawa | | 0.0050 |  | 106 | See |  |  | |
268 |
A*01:01 |  | Japan pop 16 | | 0.0040 |  | 18,604 | See |  |  | |
269 |
A*01:01 |  | Taiwan Han Chinese | | 0.0040 |  | 504 | See |  |  | |
270 |
A*01:01 |  | USA Alaska Yupik | | 0.0040 |  | 252 | See |  |  | |
271 |
A*01:01 |  | USA Arizona Gila River Amerindian | | 0.0040 |  | 492 | See |  |  | |
272 |
A*01:01 |  | Zimbabwe Harare Shona | | 0.0040 |  | 230 | See |  |  | |
273 |
A*01:01 |  | Singapore Chinese | 0.7 | 0.0030 |  | 149 | See |  |  | |
274 |
A*01:01 |  | Mexico Chiapas Lacandon Mayans | | 0.0023 |  | 218 | See |  |  |
|
275 |
A*01:01 |  | Japan pop 3 | | 0.0020 |  | 1,018 | See |  |  | |
276 |
A*01:01 |  | Brazil Vale do Ribeira Quilombos | 0.0420 | 0 |  | 144 | See |  |  | |
277 |
A*01:01 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
278 |
A*01:01 |  | Cameroon Sawa | | 0 |  | 13 | See |  |  | |
279 |
A*01:01 |  | Central African Republic Mbenzele Pygmy | 0.0 | 0 |  | 36 | See |  |  | |
280 |
A*01:01 |  | China Guizhou Province Miao pop 2 | | 0 |  | 85 | See |  |  | |
281 |
A*01:01 |  | China Guizhou Province Shui | | 0 |  | 153 | See |  |  | |
282 |
A*01:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
283 |
A*01:01 |  | India West Bhil | | 0 |  | 50 | See |  |  | |
284 |
A*01:01 |  | Japan Hokkaido Ainu | | 0 |  | 50 | See |  |  | |
285 |
A*01:01 |  | Mexico Oaxaca Mixtec | | 0 |  | 103 | See |  |  | |
286 |
A*01:01 |  | Pakistan Kalash | | 0 |  | 69 | See |  |  | |
287 |
A*01:01 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
288 |
A*01:01 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
289 |
A*01:01 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
290 |
A*01:01 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
291 |
A*01:01 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
292 |
A*01:01 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
293 |
A*01:01 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
294 |
A*01:01 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
295 |
A*01:01 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
296 |
A*01:01 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
297 |
A*01:01 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
298 |
A*01:01 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
299 |
A*01:01 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
300 |
A*01:01 |  | Taiwan Thao | 0.0 | 0 |  | 30 | 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 301) records |
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