Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
301 |
A*03 | | Mexico Veracruz, Orizaba | | 0.0500 | | 60 | See | | |
|
302 |
A*03 | | Ecuador Andes Mixed Ancestry | | 0.0479 | | 824 | See | | |
|
303 |
A*03 | | China Shaanxi Province Han | | 0.0470 | | 10,000 | See | | | |
304 |
A*03 | | Mexico Nayarit, Tepic | | 0.0464 | | 97 | See | | |
|
305 |
A*03 | | Ecuador Mixed Ancestry | | 0.0456 | | 1,173 | See | | |
|
306 |
A*03 | | Brazil Parana Oriental | 9.1 | 0.0450 | | 33 | See | | | |
307 |
A*03 | | Mexico Guanajuato, Leon | | 0.0449 | | 78 | See | | |
|
308 |
A*03 | | Sudan South Nuba | 8.7 | 0.0444 | | 46 | See | | | |
309 |
A*03 | | Mexico Campeche, Campeche city | | 0.0441 | | 34 | See | | |
|
310 |
A*03 | | China Harbin Manchu | | 0.0440 | | 172 | See | | | |
311 |
A*03 | | Mexico Hidalgo Rural | | 0.0432 | | 81 | See | | |
|
312 |
A*03 | | China Shandong Province | 8.3 | 0.0430 | | 7,418 | See | | | |
313 |
A*03 | | Taiwan Chinese immigrants from North China | | 0.0430 | | 152 | See | | | |
314 |
A*03 | | Mexico Tabasco Rural | | 0.0423 | | 142 | See | | |
|
315 |
A*03 | | Mexico Mexico City Center | | 0.0422 | | 152 | See | | |
|
316 |
A*03 | | Mexico Mexico City Mestizo | | 0.0410 | | 121 | See | | | |
317 |
A*03 | | Cameroon Bakola Pygmy | 8.0 | 0.0408 | | 50 | See | | | |
318 |
A*03 | | Mexico Veracruz, Xalapa | | 0.0401 | | 187 | See | | |
|
319 |
A*03 | | Russia Transbaikal Territory Buryats | 8.0 | 0.0400 | | 150 | See | | |
|
320 |
A*03 | | Cameroon Ewondo | | 0.0400 | | 38 | See | | | |
321 |
A*03 | | Mexico Baja California, La Paz | | 0.0400 | | 75 | See | | |
|
322 |
A*03 | | Mexico Quintana Roo Rural | | 0.0400 | | 50 | See | | |
|
323 |
A*03 | | Ecuador Coast Mixed Ancestry | | 0.0399 | | 238 | See | | |
|
324 |
A*03 | | Mexico Guanajuato Rural | | 0.0399 | | 162 | See | | |
|
325 |
A*03 | | Mexico Mexico City Metropolitan Area Rural | | 0.0395 | | 150 | See | | |
|
326 |
A*03 | | Mexico Jalisco, Zapopan | | 0.0387 | | 168 | See | | |
|
327 |
A*03 | | India Kerala Hindu Namboothiri | | 0.0380 | | 40 | See | | | |
328 |
A*03 | | Mongolia Ulaanbaatar Khalkha | | 0.0380 | | 41 | See | | | |
329 |
A*03 | | Mexico Yucatan Rural | | 0.0373 | | 132 | See | | |
|
330 |
A*03 | | Mexico Chiapas Rural | | 0.0372 | | 121 | See | | |
|
331 |
A*03 | | Mexico Michoacan Rural | | 0.0372 | | 348 | See | | |
|
332 |
A*03 | | China Wuhan | 7.4 | 0.0370 | | 121 | See | | | |
333 |
A*03 | | Brazil Parana Japanese | 7.0 | 0.0370 | | 192 | See | | |
|
334 |
A*03 | | Mexico Aguascalientes state | | 0.0368 | | 95 | See | | | |
335 |
A*03 | | Italy Sardinia pop3 | | 0.0360 | | 100 | See | | | |
336 |
A*03 | | Guatemala, Guatemala City Mixed Ancestry | 6.3 | 0.0354 | | 127 | See | | |
|
337 |
A*03 | | Mexico Durango Rural | | 0.0352 | | 326 | See | | |
|
338 |
A*03 | | Bangladesh Dhaka Bangalee | | 0.0350 | | 141 | See | | | |
339 |
A*03 | | Cameroon Podokwo | | 0.0350 | | 43 | See | | | |
340 |
A*03 | | Sri Lanka Colombo Sinhalese | | 0.0350 | | 101 | See | | | |
341 |
A*03 | | Mexico Guerrero state | | 0.0347 | | 144 | See | | |
|
342 |
A*03 | | China Shandong Province Linqu County | 6.5 | 0.0330 | | 139 | See | | | |
343 |
A*03 | | Mexico Mexico City North | | 0.0325 | | 751 | See | | |
|
344 |
A*03 | | Mexico Veracruz Rural | | 0.0323 | | 539 | See | | |
|
345 |
A*03 | | Mexico Mexico City East | | 0.0313 | | 79 | See | | |
|
346 |
A*03 | | Mexico Quintana Roo, Cancun | | 0.0313 | | 48 | See | | |
|
347 |
A*03 | | Mexico Puebla, Puebla city | | 0.0303 | | 1,994 | See | | |
|
348 |
A*03 | | Malaysia Negeri Sembilan Minangkabau | | 0.0300 | | 34 | See | | | |
349 |
A*03 | | Mongolia Khalkha pop 2 | | 0.0300 | | 202 | See | | | |
350 |
A*03 | | Mexico Veracruz, Veracruz city | | 0.0291 | | 171 | See | | |
|
351 |
A*03 | | Mexico Yucatan, Merida | | 0.0282 | | 192 | See | | |
|
352 |
A*03 | | Burkina Faso Mossi | | 0.0280 | | 53 | See | | | |
353 |
A*03 | | China Yunnan Province Naxi | | 0.0280 | | 118 | See | | | |
354 |
A*03 | | Russia Sakhalin Island Nivkhi | | 0.0280 | | 53 | See | | | |
355 |
A*03 | | Mexico Tamaulipas Rural | | 0.0278 | | 125 | See | | |
|
356 |
A*03 | | Mexico Oaxaca, Oaxaca city | | 0.0265 | | 151 | See | | |
|
357 |
A*03 | | Mexico Puebla Rural | | 0.0264 | | 833 | See | | |
|
358 |
A*03 | | Macedonia MBMDR - Macedonian Muslims | 5.3 | 0.0263 | | 76 | See | | |
|
359 |
A*03 | | USA OPTN Asian | | 0.0260 | | 261 | See | | | |
360 |
A*03 | | Ecuador Amazonia Mixed Ancestry | | 0.0256 | | 39 | See | | |
|
361 |
A*03 | | China Yunnan Province Han pop 2 | | 0.0250 | | 129 | See | | | |
362 |
A*03 | | Mexico Colima, Colima city | | 0.0246 | | 61 | See | | |
|
363 |
A*03 | | Mexico Tabasco, Villahermosa | | 0.0244 | | 82 | See | | |
|
364 |
A*03 | | Mexico Mestizo | 4.9 | 0.0240 | | 41 | See | | | |
365 |
A*03 | | China Jiangsu Province | | 0.0240 | | 20,248 | See | | | |
366 |
A*03 | | Malaysia pop 2 | | 0.0240 | | 62 | See | | | |
367 |
A*03 | | Myanmar Mon | 4.7 | 0.0234 | | 64 | See | | |
|
368 |
A*03 | | Mexico Nayarit Rural | | 0.0234 | | 64 | See | | |
|
369 |
A*03 | | Mexico Chihuahua, Ciudad Juarez | | 0.0231 | | 106 | See | | |
|
370 |
A*03 | | Mexico San Luis Potosi Rural | | 0.0230 | | 87 | See | | |
|
371 |
A*03 | | Myanmar Kayin | 4.5 | 0.0227 | | 44 | See | | |
|
372 |
A*03 | | Mexico Oaxaca Rural | | 0.0226 | | 485 | See | | |
|
373 |
A*03 | | Mexico Tlaxcala Rural | | 0.0223 | | 830 | See | | |
|
374 |
A*03 | | China Harbin Korean | | 0.0220 | | 201 | See | | | |
375 |
A*03 | | Bolivia Quechua | | 0.0217 | | 69 | See | | |
|
376 |
A*03 | | China Guangdong Province | 4.2 | 0.0212 | | 403 | See | | | |
377 |
A*03 | | Burkina Faso Rimaibe | | 0.0210 | | 47 | See | | | |
378 |
A*03 | | Mexico Tapachula, Chiapas Mestizo Population | 4.2 | 0.0208 | | 72 | See | | |
|
379 |
A*03 | | Burkina Faso Fulani | | 0.0200 | | 49 | See | | | |
380 |
A*03 | | Malaysia Perak Rawa | | 0.0200 | | 23 | See | | | |
381 |
A*03 | | Philippines National Capital Region | | 0.0200 | | 51 | See | | |
|
382 |
A*03 | | South Korea pop 1 | | 0.0200 | | 324 | See | | | |
383 |
A*03 | | South Korea pop 8 | | 0.0200 | | 7,096 | See | | | |
384 |
A*03 | | Mexico Tlaxcala, Tlaxcala city | | 0.0193 | | 181 | See | | |
|
385 |
A*03 | | China Shanghai | | 0.0190 | | 26,266 | See | | | |
386 |
A*03 | | Guatemala Mayan | | 0.0190 | | 132 | See | | | |
387 |
A*03 | | Malaysia pop 3 | | 0.0190 | | 1,445 | See | | | |
388 |
A*03 | | Mexico Morelos, Cuernavaca | | 0.0183 | | 82 | See | | |
|
389 |
A*03 | | Tunisia Ghannouch | | 0.0180 | | 82 | See | | | |
390 |
A*03 | | Mexico Veracruz, Cordoba | | 0.0179 | | 56 | See | | |
|
391 |
A*03 | | Argentina Rosario Toba | 3.5 | 0.0170 | | 86 | See | | | |
392 |
A*03 | | Taiwan Chinese immigrants from Middle China | | 0.0170 | | 211 | See | | | |
393 |
A*03 | | Mexico Sinaloa Capomos Mayo Yoremes | | 0.0167 | | 60 | See | | | |
394 |
A*03 | | Japan Hyogo | 3.1 | 0.0160 | | 32 | See | | | |
395 |
A*03 | | Central African Republic Mbenzele Pygmy | 3.0 | 0.0151 | | 36 | See | | | |
396 |
A*03 | | Mexico Hidalgo, Pachuca | | 0.0122 | | 41 | See | | |
|
397 |
A*03 | | Peru Lamas City Lama | | 0.0120 | | 83 | See | | | |
398 |
A*03 | | Mexico Queretaro, Queretaro city | | 0.0111 | | 45 | See | | |
|
399 |
A*03 | | Mexico Veracruz, Poza Rica | | 0.0111 | | 45 | See | | |
|
400 |
A*03 | | Myanmar Bamar | 2.2 | 0.0109 | | 46 | See | | |
|
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
: 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).
were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
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
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.