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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
(from 30,451) records |
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