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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*01:02 | | Germany DKMS - Turkey minority | | 0.0002 | | 4,856 | See | | | |
302 |
A*01:02 | | Germany DKMS - United Kingdom minority | | 0.0010 | | 1,043 | See | | | |
303 |
A*01:02 | | Germany pop 6 | | 0.0002 | | 8,862 | See | | | |
304 |
A*01:02 | | Guinea Bissau | | 0.0080 | | 65 | See | | | |
305 |
A*01:02 | | Guinea Bissau Balanta | | 0.0210 | | 48 | See | | | |
306 |
A*01:02 | | Guinea Bissau Bijago | | 0 | | 23 | See | | | |
307 |
A*01:02 | | Guinea Bissau Fula | | 0 | | 31 | See | | | |
308 |
A*01:02 | | Guinea Bissau Papel | | 0.0200 | | 25 | See | | | |
309 |
A*01:02 | | India Delhi pop 2 | 6.7 | 0.0330 | | 90 | See | | | |
310 |
A*01:02 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
311 |
A*01:02 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
312 |
A*01:02 | | Italy pop 5 | | 0.0030 | | 975 | See | | | |
313 |
A*01:02 | | Kenya Luo | | 0.0040 | | 265 | See | | | |
314 |
A*01:02 | | Kenya Nandi | | 0.0270 | | 240 | See | | | |
315 |
A*01:02 | | Madeira | | 0.0080 | | 185 | See | | | |
316 |
A*01:02 | | Mali Bandiagara | | 0.0110 | | 138 | See | | | |
317 |
A*01:02 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
318 |
A*01:02 | | Mexico Mexico City Mestizo pop 2 | | 0.0043 | | 234 | See | | | |
319 |
A*01:02 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
320 |
A*01:02 | | Morocco Settat Chaouya | 1.4 | 0.0070 | | 98 | See | | | |
321 |
A*01:02 | | Oman | 0.0 | 0 | | 118 | See | | | |
322 |
A*01:02 | | Pakistan Baloch | | 0 | | 66 | See | | | |
323 |
A*01:02 | | Pakistan Brahui | | 0 | | 104 | See | | | |
324 |
A*01:02 | | Pakistan Burusho | | 0 | | 92 | See | | | |
325 |
A*01:02 | | Pakistan Kalash | | 0 | | 69 | See | | | |
326 |
A*01:02 | | Pakistan Karachi Parsi | | 0 | | 91 | See | | | |
327 |
A*01:02 | | Pakistan Mixed Pathan | | 0 | | 100 | See | | | |
328 |
A*01:02 | | Russia Tuva pop 2 | | 0.0030 | | 169 | See | | | |
329 |
A*01:02 | | Saudi Arabia pop 5 | 1.3 | 0.0063 | | 158 | See | | | |
330 |
A*01:02 | | Senegal Niokholo Mandenka | | 0.0160 | | 165 | See | | | |
331 |
A*01:02 | | Singapore Chinese | 0.0 | 0 | | 149 | See | | | |
332 |
A*01:02 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
333 |
A*01:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
334 |
A*01:02 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
335 |
A*01:02 | | Tunisia | 2.0 | 0.0100 | | 100 | See | | | |
336 |
A*01:02 | | Uganda Kampala | | 0.0030 | | 161 | See | | | |
337 |
A*01:02 | | Uganda Kampala pop 2 | | 0.0060 | | 175 | See | | | |
338 |
A*01:02 | | USA African American pop 3 | | 0.0070 | | 564 | See | | | |
339 |
A*01:02 | | USA African American pop 4 | | 0.0065 | | 2,411 | See | | | |
340 |
A*01:02 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
341 |
A*01:02 | | USA Asian pop 2 | | 0 | | 1,772 | See | | | |
342 |
A*01:02 | | USA Caucasian pop 4 | | 0.0009 | | 1,070 | See | | | |
343 |
A*01:02 | | USA Hispanic pop 2 | | 0.0030 | | 1,999 | See | | | |
344 |
A*01:02 | | Zambia Lusaka | | 0 | | 44 | See | | | |
345 |
A*01:03 | | Bulgaria | | 0 | | 55 | See | | | |
346 |
A*01:03 | | China Beijing Shijiazhuang Tianjian Han | | 0.0020 | | 618 | See | | | |
347 |
A*01:03 | | China Guangdong Province Meizhou Han | | 0.0050 | | 100 | See | | | |
348 |
A*01:03 | | China North Han | | 0 | | 105 | See | | | |
349 |
A*01:03 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
350 |
A*01:03 | | Germany DKMS - Austria minority | | 0.0009 | | 1,698 | See | | | |
351 |
A*01:03 | | Germany DKMS - France minority | | 0.0007 | | 1,406 | See | | | |
352 |
A*01:03 | | Germany DKMS - Greece minority | | 0.0008 | | 1,894 | See | | | |
353 |
A*01:03 | | Germany DKMS - Netherlands minority | | 0.0004 | | 1,374 | See | | | |
354 |
A*01:03 | | Germany DKMS - Portugal minority | | 0.0004 | | 1,176 | See | | | |
355 |
A*01:03 | | Germany DKMS - Spain minority | | 0.0005 | | 1,107 | See | | | |
356 |
A*01:03 | | Germany DKMS - Turkey minority | | 0.0009 | | 4,856 | See | | | |
357 |
A*01:03 | | Germany pop 6 | | 0.0002 | | 8,862 | See | | | |
358 |
A*01:03 | | Iran Baloch | | 0.0060 | | 100 | See | | | |
359 |
A*01:03 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
360 |
A*01:03 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
361 |
A*01:03 | | Kenya Luo | | 0 | | 265 | See | | | |
362 |
A*01:03 | | Kenya Nandi | | 0.0170 | | 240 | See | | | |
363 |
A*01:03 | | Mali Bandiagara | | 0 | | 138 | See | | | |
364 |
A*01:03 | | Mexico Mexico City Mestizo pop 2 | | 0.0021 | | 234 | See | | | |
365 |
A*01:03 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
366 |
A*01:03 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
367 |
A*01:03 | | Poland DKMS | | 0.0002 | | 20,653 | See | | | |
368 |
A*01:03 | | Saudi Arabia pop 5 | 1.3 | 0.0063 | | 158 | See | | | |
369 |
A*01:03 | | South Korea pop 3 | | 0 | | 485 | See | | | |
370 |
A*01:03 | | Taiwan Han Chinese | | 0.0020 | | 504 | See | | | |
371 |
A*01:03 | | Tunisia | 0.0 | 0 | | 100 | See | | | |
372 |
A*01:03 | | Uganda Kampala | | 0 | | 161 | See | | | |
373 |
A*01:03 | | Uganda Kampala pop 2 | | 0.0030 | | 175 | See | | | |
374 |
A*01:03 | | USA African American pop 4 | | 0.0002 | | 2,411 | See | | | |
375 |
A*01:03 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
376 |
A*01:03 | | USA Asian pop 2 | | 0 | | 1,772 | See | | | |
377 |
A*01:03 | | USA Hispanic pop 2 | | 0 | | 1,999 | See | | | |
378 |
A*01:03 | | Zambia Lusaka | | 0 | | 44 | See | | | |
379 |
A*01:04N | | Bulgaria | | 0 | | 55 | See | | | |
380 |
A*01:04N | | China North Han | | 0 | | 105 | See | | | |
381 |
A*01:04N | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
382 |
A*01:04N | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
383 |
A*01:04N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
384 |
A*01:04N | | South Korea pop 3 | | 0 | | 485 | See | | | |
385 |
A*01:04N | | USA Alaska Yupik | | 0 | | 252 | See | | | |
386 |
A*01:06 | | Bulgaria | | 0 | | 55 | See | | | |
387 |
A*01:06 | | China North Han | | 0 | | 105 | See | | | |
388 |
A*01:06 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
389 |
A*01:06 | | England North West | 0.3 | 0.0020 | | 298 | See | | | |
390 |
A*01:06 | | Germany DKMS - Turkey minority | | 0.0001 | | 4,856 | See | | | |
391 |
A*01:06 | | India Khandesh Region Pawra | | 0.0100 | | 50 | See | | | |
392 |
A*01:06 | | India Mumbai Maratha | | 0 | | 91 | See | | | |
393 |
A*01:06 | | India West Bhil | | 0 | | 50 | See | | | |
394 |
A*01:06 | | India West Coast Parsi | | 0.0800 | | 50 | See | | | |
395 |
A*01:06 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
396 |
A*01:06 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
397 |
A*01:06 | | Poland DKMS | | 0.0000700 | | 20,653 | See | | | |
398 |
A*01:06 | | South Korea pop 3 | | 0 | | 485 | See | | | |
399 |
A*01:07 | | Bulgaria | | 0 | | 55 | See | | | |
400 |
A*01:07 | | China North Han | | 0 | | 105 | 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 60,683) records |
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