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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 |
301 |
A*01 | | Peru Lamas City Lama | | 0.0120 | | 83 | See | | | |
302 |
A*01 | | Poland pop 3 | 29.2 | 0.1458 | | 2,907 | See | | | |
303 |
A*01 | | Portugal Aveiro | | 0.1080 | | 5,933 | See | | | |
304 |
A*01 | | Portugal Beja | | 0.0910 | | 699 | See | | | |
305 |
A*01 | | Portugal Braga | | 0.1200 | | 1,971 | See | | | |
306 |
A*01 | | Portugal Bragança | | 0.0900 | | 301 | See | | | |
307 |
A*01 | | Portugal Castelo Branco | | 0.1240 | | 327 | See | | | |
308 |
A*01 | | Portugal Center pop 2 | | 0.1090 | | 562 | See | | | |
309 |
A*01 | | Portugal Coimbra | | 0.1200 | | 5,057 | See | | | |
310 |
A*01 | | Portugal Evora | | 0.0860 | | 737 | See | | | |
311 |
A*01 | | Portugal Faro | | 0.0970 | | 1,242 | See | | | |
312 |
A*01 | | Portugal Guarda | | 0.1060 | | 797 | See | | | |
313 |
A*01 | | Portugal Leiria | | 0.1260 | | 1,847 | See | | | |
314 |
A*01 | | Portugal Lisbon | | 0.1070 | | 17,420 | See | | | |
315 |
A*01 | | Portugal North pop 2 | | 0.1121 | | 1,801 | See | | | |
316 |
A*01 | | Portugal Portalegre | | 0.1060 | | 1,254 | See | | | |
317 |
A*01 | | Portugal Porto | | 0.1110 | | 7,937 | See | | | |
318 |
A*01 | | Portugal Santarem | | 0.1070 | | 3,865 | See | | | |
319 |
A*01 | | Portugal Setubal | | 0.1040 | | 5,268 | See | | | |
320 |
A*01 | | Portugal South pop 2 | | 0.1130 | | 1,021 | See | | | |
321 |
A*01 | | Portugal Viana do Castelo | | 0.0910 | | 706 | See | | | |
322 |
A*01 | | Portugal Vila Real | | 0.1090 | | 1,167 | See | | | |
323 |
A*01 | | Portugal Viseu | | 0.1150 | | 2,915 | See | | | |
324 |
A*01 | | Romania | 23.0 | 0.1220 | | 348 | See | | | |
325 |
A*01 | | Romania pop 2 | | 0.1200 | | 6,936 | See | | | |
326 |
A*01 | | Romania pop 3 | 24.1 | 0.1288 | | 1,469 | See | | | |
327 |
A*01 | | Russia Arkhangelsk Pomor | | 0.1400 | | 63 | See | | | |
328 |
A*01 | | Russia Chuvash | | 0.0730 | | 82 | See | | | |
329 |
A*01 | | Russia Moscow | | 0.1140 | | 2,650 | See | | | |
330 |
A*01 | | Russia Moscow Pop 2 | 22.3 | 0.1194 | | 2,000 | See | | | |
331 |
A*01 | | Russia Murmansk Saomi Mixed | | 0.0400 | | 70 | See | | | |
332 |
A*01 | | Russia Nenet Mixed | | 0.0310 | | 55 | See | | | |
333 |
A*01 | | Russia North Ossetian | 22.8 | 0.1181 | | 127 | See | | |
|
334 |
A*01 | | Russia Northwest | 22.4 | 0.1190 | | 1,011 | See | | | |
335 |
A*01 | | Russia Northwest pop 3 | 17.0 | 0.0950 | | 100 | See | | | |
336 |
A*01 | | Russia Northwest pop 2 | 22.9 | 0.1220 | | 346 | See | | | |
337 |
A*01 | | Russia Sakhalin Island Nivkhi | | 0.0090 | | 53 | See | | | |
338 |
A*01 | | Russia Samara Region | | 0.1030 | | 2,500 | See | | | |
339 |
A*01 | | Russia South Ural Bashkir | 17.8 | 0.0890 | | 146 | See | | | |
340 |
A*01 | | Russia South Ural Russian | 31.9 | 0.1810 | | 207 | See | | | |
341 |
A*01 | | Russia South Ural Tatar | 22.2 | 0.1180 | | 135 | See | | | |
342 |
A*01 | | Russia Tatars | | 0.1098 | | 355 | See | | | |
343 |
A*01 | | Russia Transbaikal Territory Buryats | 20.0 | 0.1000 | | 150 | See | | |
|
344 |
A*01 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 18.8 | 0.0940 | | 112 | See | | |
|
345 |
A*01 | | Rwanda | | 0.1360 | | 280 | See | | | |
346 |
A*01 | | Saudi Arabia | 16.7 | 0.0873 | | 18 | See | | | |
347 |
A*01 | | Saudi Arabia pop 2 | | 0.0680 | | 383 | See | | | |
348 |
A*01 | | Saudi Arabia pop 4 | 13.6 | 0.0701 | | 499 | See | | | |
349 |
A*01 | | Scotland Orkney | 33.0 | 0.1700 | | 99 | See | | | |
350 |
A*01 | | Serbia | | 0.1320 | | 386 | See | | | |
351 |
A*01 | | Serbia pop 3 | 26.3 | 0.1426 | | 1,992 | See | | | |
352 |
A*01 | | Serbia Vojvodina | 25.2 | 0.1350 | | 400 | See | | | |
353 |
A*01 | | Slovakia pop 2 | | 0.1438 | | 4,234 | See | | | |
354 |
A*01 | | Slovenia pop 3 | 17.7 | 0.0930 | | 130 | See | | | |
355 |
A*01 | | South Africa Natal Zulu | 8.0 | 0.0400 | | 100 | See | | | |
356 |
A*01 | | South Africa Tswana | 2.5 | 0.0120 | | 41 | See | | | |
357 |
A*01 | | South Korea pop 1 | | 0.0110 | | 324 | See | | | |
358 |
A*01 | | South Korea pop 8 | | 0.0190 | | 7,096 | See | | | |
359 |
A*01 | | Spain Andalusia | | 0.1140 | | 99 | See | | | |
360 |
A*01 | | Spain Andalusia Romani | | 0.2790 | | 99 | See | | | |
361 |
A*01 | | Spain Arratia Valley Basque | | 0.1920 | | 83 | See | | | |
362 |
A*01 | | Spain Catalonia Girona | | 0.0860 | | 88 | See | | | |
363 |
A*01 | | Spain Gipuzkoa Basque | | 0.1350 | | 100 | See | | | |
364 |
A*01 | | Spain Ibiza | | 0.1380 | | 88 | See | | | |
365 |
A*01 | | Spain Majorca | | 0.1060 | | 407 | See | | | |
366 |
A*01 | | Spain Majorca and Minorca | | 0.0930 | | 90 | See | | | |
367 |
A*01 | | Spain Majorcans Jews | | 0.1590 | | 103 | See | | | |
368 |
A*01 | | Spain Minorca | | 0.0600 | | 94 | See | | | |
369 |
A*01 | | Spain Murcia | | 0.0950 | | 173 | See | | | |
370 |
A*01 | | Spain North Cabuerniga | | 0.0760 | | 95 | See | | | |
371 |
A*01 | | Spain North Cantabria | | 0.1080 | | 83 | See | | | |
372 |
A*01 | | Spain Pas Valley | | 0.0380 | | 88 | See | | | |
373 |
A*01 | | Spain Sevilla | 21.2 | 0.1097 | | 278 | See | | | |
374 |
A*01 | | Spain, Castilla y Leon, Northwest, | 19.4 | 0.1063 | | 1,743 | See | | |
|
375 |
A*01 | | Sudan East Rashaida | 14.8 | 0.0769 | | 27 | See | | | |
376 |
A*01 | | Sudan Khartoum | | 0.0563 | | 98 | See | | |
|
377 |
A*01 | | Sudan South Nuba | 8.7 | 0.0444 | | 46 | See | | | |
378 |
A*01 | | Sweden pop 4 | 26.1 | 0.1392 | | 966 | See | | | |
379 |
A*01 | | Sweden Stockholm | 25.7 | 0.1360 | | 1,347 | See | | | |
380 |
A*01 | | Sweden Uppsala | 24.3 | 0.1299 | | 300 | See | | | |
381 |
A*01 | | Taiwan Aborigine | | 0 | | 111 | See | | | |
382 |
A*01 | | Taiwan Chinese immigrants from Middle China | | 0.0090 | | 211 | See | | | |
383 |
A*01 | | Taiwan Chinese immigrants from North China | | 0.0300 | | 152 | See | | | |
384 |
A*01 | | Taiwan Chinese immigrants from South China | | 0.0150 | | 172 | See | | | |
385 |
A*01 | | Taiwan Hakka pop 2 | | 0.0020 | | 714 | See | | | |
386 |
A*01 | | Taiwan Minnan and Hakka | | 0.0030 | | 190 | See | | | |
387 |
A*01 | | Taiwan Minnan pop 2 | | 0.0030 | | 7,137 | See | | | |
388 |
A*01 | | Thailand Northeast | | 0.0240 | | 66 | See | | | |
389 |
A*01 | | Thailand Northeast pop 2 | | 0.0160 | | 400 | See | | | |
390 |
A*01 | | Thailand pop 4 | | 0.0220 | | 16,807 | See | | | |
391 |
A*01 | | Trinidad African | | 0.0600 | | 67 | See | | | |
392 |
A*01 | | Trinidad South Asian | | 0.1100 | | 87 | See | | | |
393 |
A*01 | | Tunisia Ghannouch | | 0.1100 | | 82 | See | | | |
394 |
A*01 | | Tunisia pop 3 | | 0.0770 | | 104 | See | | | |
395 |
A*01 | | Turkey pop 2 | | 0.0660 | | 228 | See | | | |
396 |
A*01 | | Turkey pop 5 | | 0.1090 | | 142 | See | | | |
397 |
A*01 | | United Arab Emirates pop 2 | 12.1 | 0.0620 | | 373 | See | | | |
398 |
A*01 | | United Kingdom Central | | 0.1910 | | 135 | See | | | |
399 |
A*01 | | United Kingdom East | | 0.1718 | | 163 | See | | | |
400 |
A*01 | | United Kingdom North | | 0.1770 | | 330 | 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 301 to 400
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