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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 |
B*52 | | Greece pop3 | 2.4 | 0.0120 | | 246 | See | | | |
302 |
B*52 | | France Southeast | 2.3 | 0.0120 | | 130 | See | | | |
303 |
B*52 | | Colombia San Basilio de Palenque | | 0.0120 | | 42 | See | | |
|
304 |
B*52 | | Peru Lamas City Lama | | 0.0120 | | 83 | See | | | |
305 |
B*52 | | United Kingdom Orkney | | 0.0120 | | 88 | See | | | |
306 |
B*52 | | Serbia pop 3 | 2.2 | 0.0118 | | 1,992 | See | | | |
307 |
B*52 | | Portugal Aveiro | | 0.0110 | | 5,933 | See | | | |
308 |
B*52 | | Portugal Lisbon | | 0.0110 | | 17,420 | See | | | |
309 |
B*52 | | Portugal Setubal | | 0.0110 | | 5,268 | See | | | |
310 |
B*52 | | Spain Minorca | | 0.0110 | | 94 | See | | | |
311 |
B*52 | | France Marseille | 2.2 | 0.0108 | | 1,000 | See | | | |
312 |
B*52 | | United Kingdom North | | 0.0108 | | 330 | See | | | |
313 |
B*52 | | Mexico Campeche Rural | | 0.0106 | | 47 | See | | |
|
314 |
B*52 | | Mexico Quintana Roo, Cancun | | 0.0104 | | 48 | See | | |
|
315 |
B*52 | | Spain North | 2.0 | 0.0100 | | 156 | See | | | |
316 |
B*52 | | France Reims | | 0.0100 | | 102 | See | | | |
317 |
B*52 | | Malaysia Negeri Sembilan Minangkabau | | 0.0100 | | 34 | See | | | |
318 |
B*52 | | Mexico Puebla Mestizo | | 0.0100 | | 99 | See | | | |
319 |
B*52 | | Philippines National Capital Region | | 0.0100 | | 51 | See | | |
|
320 |
B*52 | | Portugal Faro | | 0.0100 | | 1,242 | See | | | |
321 |
B*52 | | Portugal Leiria | | 0.0100 | | 1,847 | See | | | |
322 |
B*52 | | Portugal Portalegre | | 0.0100 | | 1,254 | See | | | |
323 |
B*52 | | Russia Murmansk Saomi Mixed | | 0.0100 | | 70 | See | | | |
324 |
B*52 | | France Lyon | 2.0 | 0.0099 | | 4,813 | See | | | |
325 |
B*52 | | France Grenoble | 2.0 | 0.0098 | | 1,000 | See | | | |
326 |
B*52 | | Mexico Mexico City Center | | 0.0097 | | 152 | See | | |
|
327 |
B*52 | | Argentina Chiriguano | 1.9 | 0.0090 | | 54 | See | | | |
328 |
B*52 | | Germany | 1.8 | 0.0090 | | 11,407 | See | | | |
329 |
B*52 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 1.8 | 0.0090 | | 112 | See | | |
|
330 |
B*52 | | Portugal Braga | | 0.0090 | | 1,971 | See | | | |
331 |
B*52 | | Portugal Castelo Branco | | 0.0090 | | 327 | See | | | |
332 |
B*52 | | Portugal Coimbra | | 0.0090 | | 5,057 | See | | | |
333 |
B*52 | | Portugal Santarem | | 0.0090 | | 3,865 | See | | | |
334 |
B*52 | | Sweden pop 4 | 1.7 | 0.0088 | | 966 | See | | | |
335 |
B*52 | | Mexico Sinaloa Capomos Mayo Yoremes | | 0.0083 | | 60 | See | | | |
336 |
B*52 | | Bosnia and Herzegovina pop 2 | 1.7 | 0.0083 | | 120 | See | | | |
337 |
B*52 | | Slovenia pop 3 | 1.5 | 0.0080 | | 130 | See | | | |
338 |
B*52 | | Cuba Mixed pop 2 | | 0.0080 | | 189 | See | | | |
339 |
B*52 | | Portugal Evora | | 0.0080 | | 737 | See | | | |
340 |
B*52 | | Portugal South pop 2 | | 0.0080 | | 1,021 | See | | | |
341 |
B*52 | | Portugal Viseu | | 0.0080 | | 2,915 | See | | | |
342 |
B*52 | | Taiwan Hakka pop 2 | | 0.0080 | | 714 | See | | | |
343 |
B*52 | | Taiwan Minnan pop 2 | | 0.0080 | | 7,137 | See | | | |
344 |
B*52 | | France Bordeaux | 1.6 | 0.0078 | | 990 | See | | | |
345 |
B*52 | | United Kingdom Central | | 0.0075 | | 135 | See | | | |
346 |
B*52 | | Australia West Caucasian | 1.5 | 0.0070 | | 891 | See | | | |
347 |
B*52 | | Peru Arequipa Mestizo | 1.4 | 0.0070 | | 168 | See | | | |
348 |
B*52 | | Cuba Mixed | | 0.0070 | | 78 | See | | | |
349 |
B*52 | | Mexico Mayan Pop 3 | | 0.0070 | | 66 | See | | | |
350 |
B*52 | | Pakistan Kalash | | 0.0070 | | 69 | See | | | |
351 |
B*52 | | Portugal Porto | | 0.0070 | | 7,937 | See | | | |
352 |
B*52 | | USA OPTN Caucasian | | 0.0070 | | 8,525 | See | | | |
353 |
B*52 | | France Rennes pop 4 | 1.4 | 0.0067 | | 1,000 | See | | | |
354 |
B*52 | | Mexico Mexico City East | | 0.0063 | | 79 | See | | |
|
355 |
B*52 | | Germany Essen | 1.2 | 0.0060 | | 174 | See | | | |
356 |
B*52 | | France Grenoble, Nantes and Rennes | | 0.0060 | | 6,094 | See | | | |
357 |
B*52 | | Madeira pop 3 | | 0.0060 | | 538 | See | | | |
358 |
B*52 | | Portugal Center pop 2 | | 0.0060 | | 562 | See | | | |
359 |
B*52 | | Portugal Vila Real | | 0.0060 | | 1,167 | See | | | |
360 |
B*52 | | Spain Ibiza | | 0.0060 | | 88 | See | | | |
361 |
B*52 | | Spain North Cantabria | | 0.0060 | | 83 | See | | | |
362 |
B*52 | | Mexico San Luis Potosi Rural | | 0.0057 | | 87 | See | | |
|
363 |
B*52 | | England Newcastle | 1.1 | 0.0055 | | 2,739 | See | | | |
364 |
B*52 | | England Manchester | 1.0 | 0.0050 | | 1,640 | See | | | |
365 |
B*52 | | Wales pop 2 | 1.0 | 0.0050 | | 39,979 | See | | | |
366 |
B*52 | | France Rennes pop 3 | | 0.0050 | | 200 | See | | | |
367 |
B*52 | | Mozambique | | 0.0050 | | 202 | See | | | |
368 |
B*52 | | Portugal Bragança | | 0.0050 | | 301 | See | | | |
369 |
B*52 | | Portugal Viana do Castelo | | 0.0050 | | 706 | See | | | |
370 |
B*52 | | Taiwan Minnan and Hakka | | 0.0050 | | 190 | See | | | |
371 |
B*52 | | United Kingdom pop 2 | | 0.0050 | | 101 | See | | | |
372 |
B*52 | | England Sheffield | 0.9 | 0.0045 | | 4,755 | See | | | |
373 |
B*52 | | Wales | 0.9 | 0.0040 | | 1,798 | See | | | |
374 |
B*52 | | England Leeds | 0.8 | 0.0040 | | 5,024 | See | | | |
375 |
B*52 | | Azores | | 0.0040 | | 1,050 | See | | | |
376 |
B*52 | | Macedonia MBMDR - Albanian | 0.8 | 0.0039 | | 128 | See | | |
|
377 |
B*52 | | Portugal North pop 2 | | 0.0037 | | 1,801 | See | | | |
378 |
B*52 | | United Kingdom East | | 0.0031 | | 163 | See | | | |
379 |
B*52 | | Ireland South pop 2 | | 0.0030 | | 17,624 | See | | | |
380 |
B*52 | | Portugal Guarda | | 0.0030 | | 797 | See | | | |
381 |
B*52 | | Spain Majorca | | 0.0030 | | 407 | See | | | |
382 |
B*52 | | Taiwan Chinese immigrants from South China | | 0.0030 | | 172 | See | | | |
383 |
B*52 | | Norway ethnic Norwegians | 0.5 | 0.0024 | | 4,510 | See | | |
|
384 |
B*52 | | England Liverpool | 0.4 | 0.0020 | | 1,343 | See | | | |
385 |
B*52 | | Sweden Uppsala | 0.3 | 0.0015 | | 300 | See | | | |
386 |
B*52 | | England Lancaster | 0.2 | 0.0010 | | 545 | See | | | |
387 |
B*52 | | USA NMDP Black South or Central American | | 0.0001 | | 4,889 | See | | | |
388 |
B*52 | | Argentina La Plata | 0.0 | 0 | | 100 | See | | | |
389 |
B*52 | | China North Han | | 0 | | 105 | See | | | |
390 |
B*52 | | India Kerala Hindu Ezhava | | 0 | | 24 | See | | | |
391 |
B*52 | | India Kerala Hindu Pulaya | | 0 | | 16 | See | | | |
392 |
B*52 | | India Kerala Kurichiya | | 0 | | 10 | See | | | |
393 |
B*52 | | Mexico Chiapas, Tuxtla Gutierrez | | 0 | | 52 | See | | |
|
394 |
B*52 | | Mexico Guanajuato, Guanajuato city | | 0 | | 22 | See | | |
|
395 |
B*52 | | Mexico Morelos Rural | | 0 | | 30 | See | | |
|
396 |
B*52 | | Mexico Queretaro Rural | | 0 | | 43 | See | | |
|
397 |
B*52 | | Portugal North | | 0 | | 46 | See | | | |
398 |
B*52 | | Russia Nenet Mixed | | 0 | | 55 | See | | | |
399 |
B*52 | | Saudi Arabia | 0.0 | 0 | | 18 | See | | | |
400 |
B*52 | | Scotland Orkney | 0.0 | 0 | | 99 | 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 995) records |
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