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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*02:01 | | Pakistan Burusho | | 0.0540 | | 92 | See | | | |
202 |
A*02:01 | | Pakistan Kalash | | 0.1580 | | 69 | See | | | |
203 |
A*02:01 | | Pakistan Karachi Parsi | | 0.0280 | | 91 | See | | | |
204 |
A*02:01 | | Pakistan Mixed Pathan | | 0.0820 | | 100 | See | | | |
205 |
A*02:01 | | Pakistan Mixed Sindhi | | 0.0700 | | 101 | See | | | |
206 |
A*02:01 | | Panama | | 0.1493 | | 462 | See | | |
|
207 |
A*02:01 | | Papua New Guinea East New Britain Rabaul | | 0 | | 60 | See | | | |
208 |
A*02:01 | | Papua New Guinea Eastern Highlands Goroka Asaro | | 0 | | 57 | See | | | |
209 |
A*02:01 | | Papua New Guinea Karimui Plateau Pawaia | | 0 | | 80 | See | | | |
210 |
A*02:01 | | Papua New Guinea Madang | | 0 | | 65 | See | | | |
211 |
A*02:01 | | Papua New Guinea Wanigela Keapara | | 0.0210 | | 66 | See | | | |
212 |
A*02:01 | | Papua New Guinea West Schrader Ranges Haruai | | 0 | | 55 | See | | | |
213 |
A*02:01 | | Papua New Guinea Wosera Abelam | | 0 | | 131 | See | | | |
214 |
A*02:01 | | Peru Titikaka Lake Uro | | 0.5000 | | 105 | See | | | |
215 |
A*02:01 | | Peru Titikaka Lake Uros | | 0.5000 | | 105 | See | | |
|
216 |
A*02:01 | | Philippines Ivatan | 48.0 | 0.3000 | | 50 | See | | | |
217 |
A*02:01 | | Poland | | 0.1930 | | 200 | See | | | |
218 |
A*02:01 | | Poland DKMS | | 0.2849 | | 20,653 | See | | | |
219 |
A*02:01 | | Portugal Azores Terceira Island | 42.1 | 0.2325 | | 130 | See | | |
|
220 |
A*02:01 | | Portugal Center | | 0.2600 | | 50 | See | | | |
221 |
A*02:01 | | Portugal North | | 0.2930 | | 46 | See | | | |
222 |
A*02:01 | | Portugal South | | 0.2350 | | 49 | See | | | |
223 |
A*02:01 | | Romania | 43.7 | 0.2500 | | 348 | See | | | |
224 |
A*02:01 | | Russia Belgorod region | 0.7 | 0.0033 | | 153 | See | | |
|
225 |
A*02:01 | | Russia Bering Island Aleuts | | 0.2260 | | 104 | See | | |
|
226 |
A*02:01 | | Russia Karelia | | 0.2963 | | 1,075 | See | | |
|
227 |
A*02:01 | | Russia Tuva pop 2 | | 0.1430 | | 169 | See | | | |
228 |
A*02:01 | | Sao Tome Island Angolar | | 0.0630 | | 32 | See | | | |
229 |
A*02:01 | | Sao Tome Island Forro | | 0.1280 | | 66 | See | | | |
230 |
A*02:01 | | Saudi Arabia Guraiat and Hail | 33.3 | 0.1900 | | 213 | See | | | |
231 |
A*02:01 | | Senegal Niokholo Mandenka | | 0.0810 | | 165 | See | | | |
232 |
A*02:01 | | Singapore Chinese | 19.5 | 0.1040 | | 149 | See | | | |
233 |
A*02:01 | | Singapore Chinese Han | | 0.0760 | | 94 | See | | | |
234 |
A*02:01 | | Singapore Javaneses | | 0.0400 | | 51 | See | | | |
235 |
A*02:01 | | Singapore Riau Malay | | 0.0650 | | 132 | See | | | |
236 |
A*02:01 | | Singapore SGVP Chinese CHS | | 0.1090 | | 96 | See | | |
|
237 |
A*02:01 | | Singapore SGVP Malay MAS | | 0.1190 | | 89 | See | | |
|
238 |
A*02:01 | | Singapore SGVP. Indian INS | | 0.0750 | | 86 | See | | |
|
239 |
A*02:01 | | Singapore Thai | | 0.0310 | | 100 | See | | | |
240 |
A*02:01 | | South Africa Natal Tamil | | 0.0100 | | 51 | See | | | |
241 |
A*02:01 | | South Africa Natal Zulu | 5.0 | 0.0250 | | 100 | See | | | |
242 |
A*02:01 | | South Africa Worcester | 14.0 | 0.0750 | | 159 | See | | |
|
243 |
A*02:01 | | South Korea pop 10 | | 0.1548 | | 4,128 | See | | | |
244 |
A*02:01 | | South Korea pop 3 | | 0.1650 | | 485 | See | | | |
245 |
A*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 41.7 | 0.2368 | | 4,335 | See | | |
|
246 |
A*02:01 | | Spain Catalonia Girona | | 0.2990 | | 88 | See | | | |
247 |
A*02:01 | | Spain Gipuzkoa Basque | | 0.2700 | | 100 | See | | | |
248 |
A*02:01 | | Sri Lanka Colombo | 6.6 | 0.0340 | | 714 | See | | |
|
249 |
A*02:01 | | Sri Lanka Colombo Sinhalese | | 0.0490 | | 101 | See | | | |
250 |
A*02:01 | | Sudan Central Shaigiya Mixed | 11.1 | 0.0571 | | 36 | See | | | |
251 |
A*02:01 | | Sudan East Rashaida | 18.5 | 0.0972 | | 27 | See | | | |
252 |
A*02:01 | | Sudan Mixed | 33.0 | 0.1730 | | 200 | See | | | |
253 |
A*02:01 | | Sweden Northern Sami | | 0.2360 | | 154 | See | | | |
254 |
A*02:01 | | Sweden Southern Sami | | 0.2600 | | 130 | See | | | |
255 |
A*02:01 | | Taiwan Ami | 5.1 | 0.0260 | | 98 | See | | | |
256 |
A*02:01 | | Taiwan Atayal | 13.2 | 0.0660 | | 106 | See | | | |
257 |
A*02:01 | | Taiwan Bunun | 7.9 | 0.0400 | | 101 | See | | | |
258 |
A*02:01 | | Taiwan Hakka | 10.9 | 0.0550 | | 55 | See | | | |
259 |
A*02:01 | | Taiwan Han Chinese | | 0.0920 | | 504 | See | | | |
260 |
A*02:01 | | Taiwan Minnan pop 1 | 17.6 | 0.0880 | | 102 | See | | | |
261 |
A*02:01 | | Taiwan Paiwan | 7.8 | 0.0390 | | 51 | See | | | |
262 |
A*02:01 | | Taiwan Pazeh | 10.9 | 0.0550 | | 55 | See | | | |
263 |
A*02:01 | | Taiwan pop 2 | | 0.1290 | | 364 | See | | | |
264 |
A*02:01 | | Taiwan pop 3 | | 0.0990 | | 212 | See | | | |
265 |
A*02:01 | | Taiwan Puyuma | 4.0 | 0.0200 | | 50 | See | | | |
266 |
A*02:01 | | Taiwan Rukai | 6.0 | 0.0300 | | 50 | See | | | |
267 |
A*02:01 | | Taiwan Saisiat | 21.6 | 0.1080 | | 51 | See | | | |
268 |
A*02:01 | | Taiwan Siraya | 7.8 | 0.0390 | | 51 | See | | | |
269 |
A*02:01 | | Taiwan Tao | 4.0 | 0.0200 | | 50 | See | | | |
270 |
A*02:01 | | Taiwan Taroko | 36.4 | 0.1910 | | 55 | See | | | |
271 |
A*02:01 | | Taiwan Thao | 13.3 | 0.0670 | | 30 | See | | | |
272 |
A*02:01 | | Taiwan Tsou | 5.9 | 0.0290 | | 51 | See | | | |
273 |
A*02:01 | | Taiwan Tzu Chi Cord Blood Bank | | 0.1040 | | 710 | See | | | |
274 |
A*02:01 | | Tanzania Maasai | 21.2 | 0.1180 | | 336 | See | | |
|
275 |
A*02:01 | | Thailand | | 0.0180 | | 142 | See | | | |
276 |
A*02:01 | | Tunisia | 32.0 | 0.1750 | | 100 | See | | | |
277 |
A*02:01 | | Tunisia Gabes | | 0.1579 | | 95 | See | | | |
278 |
A*02:01 | | Turkey pop 5 | | 0.2570 | | 142 | See | | | |
279 |
A*02:01 | | Uganda Kampala | | 0.1840 | | 161 | See | | | |
280 |
A*02:01 | | Uganda Kampala pop 2 | | 0.1140 | | 175 | See | | | |
281 |
A*02:01 | | United Arab Emirates Abu Dhabi | | 0.2019 | | 52 | See | | |
|
282 |
A*02:01 | | USA African American | | 0.1230 | | 252 | See | | | |
283 |
A*02:01 | | USA African American Bethesda | 16.8 | 0.0840 | | 187 | See | | | |
284 |
A*02:01 | | USA African American pop 2 | | 0.1070 | | 149 | See | | | |
285 |
A*02:01 | | USA African American pop 3 | | 0.1210 | | 564 | See | | | |
286 |
A*02:01 | | USA African American pop 4 | | 0.1246 | | 2,411 | See | | | |
287 |
A*02:01 | | USA Alaska Yupik | | 0.0240 | | 252 | See | | | |
288 |
A*02:01 | | USA Arizona Gila River Amerindian | | 0.4740 | | 492 | See | | | |
289 |
A*02:01 | | USA Arizona Pima | | 0.4360 | | 100 | See | | | |
290 |
A*02:01 | | USA Asian | | 0.0950 | | 358 | See | | | |
291 |
A*02:01 | | USA Asian pop 2 | | 0.0946 | | 1,772 | See | | | |
292 |
A*02:01 | | USA Caucasian | 0.0 | 0 | | 61,655 | See | | | |
293 |
A*02:01 | | USA Caucasian Bethesda | 47.8 | 0.2610 | | 307 | See | | | |
294 |
A*02:01 | | USA Caucasian pop 2 | | 0.2720 | | 265 | See | | | |
295 |
A*02:01 | | USA Caucasian pop 3 | | 0.2220 | | 88 | See | | | |
296 |
A*02:01 | | USA Caucasian pop 4 | | 0.2944 | | 1,070 | See | | | |
297 |
A*02:01 | | USA Hawaii Okinawa | | 0.0900 | | 106 | See | | | |
298 |
A*02:01 | | USA Hispanic | | 0.2310 | | 234 | See | | | |
299 |
A*02:01 | | USA Hispanic pop 2 | | 0.1940 | | 1,999 | See | | | |
300 |
A*02:01 | | USA NMDP African | | 0.1146 | | 28,557 | 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 330) records |
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