Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
301 |
A*01:01:01 | | Cape Verde Northwestern Islands | | 0.0480 | | 62 | See | | | |
302 |
A*01:01:01 | | Cape Verde Southeastern Islands | | 0.0480 | | 62 | See | | | |
303 |
A*01:01:01 | | China Jingpo Minority | 2.9 | 0.0145 | | 105 | See | | |
|
304 |
A*01:01:01 | | China North Han | | 0.0710 | | 105 | See | | | |
305 |
A*01:01:01 | | China Tibet Region Tibetan | | 0.0220 | | 158 | See | | | |
306 |
A*01:01:01 | | China Zhejiang Han | | 0.0153 | | 1,734 | See | | |
|
307 |
A*01:01:01 | | Costa Rica African -Caribbean (G) | 8.8 (*) | 0.0440 (*) | | 102 | See | | |
|
308 |
A*01:01:01 | | Costa Rica Amerindians (G) | 4.8 (*) | 0.0240 (*) | | 125 | See | | |
|
309 |
A*01:01:01 | | Costa Rica Central Valley Mestizo (G) | 15.3 (*) | 0.0790 (*) | | 221 | See | | |
|
310 |
A*01:01:01 | | Costa Rica Guanacaste Mestizo (G) | 9.2 (*) | 0.0460 (*) | | 110 | See | | |
|
311 |
A*01:01:01 | | England Blood Donors of Mixed Ethnicity | 37.4 | 0.2062 | | 519 | See | | |
|
312 |
A*01:01:01 | | Guinea Bissau | | 0.0460 | | 65 | See | | | |
313 |
A*01:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 2.0 | 0.0103 | | 5,266 | See | | |
|
314 |
A*01:01:01 | | India Andhra Pradesh Telugu Speaking | 28.5 | 0.1479 | | 186 | See | | |
|
315 |
A*01:01:01 | | India Karnataka Kannada Speaking | 30.5 | 0.1580 | | 174 | See | | |
|
316 |
A*01:01:01 | | India Kerala Malayalam speaking | 16.3 | 0.0857 | | 356 | See | | |
|
317 |
A*01:01:01 | | Iran Baloch | | 0.0170 | | 100 | See | | | |
318 |
A*01:01:01 | | Japan Okinawa Ryukyuan | | 0.0040 | | 143 | See | | | |
319 |
A*01:01:01 | | Madeira | | 0.0590 | | 185 | See | | | |
320 |
A*01:01:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.0680 | | 103 | See | | | |
321 |
A*01:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 8.3 | 0.0556 | | 72 | See | | | |
322 |
A*01:01:01 | | Mongolia Buryat | | 0.1140 | | 141 | See | | | |
323 |
A*01:01:01 | | Morocco Atlantic Coast Chaouya | | 0.1280 | | 98 | See | | | |
324 |
A*01:01:01 | | Morocco Nador Metalsa pop 2 | | 0.1370 | | 73 | See | | | |
325 |
A*01:01:01 | | Morocco Settat Chaouya | 25.6 | 0.1280 | | 98 | See | | | |
326 |
A*01:01:01 | | Nicaragua Mestizo (G) | 5.8 (*) | 0.0290 (*) | | 155 | See | | |
|
327 |
A*01:01:01 | | Poland BMR | 25.6 | 0.1372 | | 23,595 | See | | |
|
328 |
A*01:01:01 | | Russia Belgorod region | 19.0 | 0.0948 | | 153 | See | | |
|
329 |
A*01:01:01 | | Russia Bashkortostan, Bashkirs | 0.8 | 0.0083 | | 120 | See | | |
|
330 |
A*01:01:01 | | Russia Bashkortostan, Tatars | 0.5 | 0.0026 | | 192 | See | | |
|
331 |
A*01:01:01 | | Russia Nizhny Novgorod, Russians | 1.0 | 0.0050 | | 1,510 | See | | |
|
332 |
A*01:01:01 | | Russian Federation Vologda Region | 20.2 | 0.1050 | | 119 | See | | |
|
333 |
A*01:01:01 | | Saudi Arabia pop 6 (G) | | 0.0712 (*) | | 28,927 | See | | | |
334 |
A*01:01:01 | | South Africa Caucasians | | 0.2000 | | 102 | See | | | |
335 |
A*01:01:01 | | South African Black | 5.6 | 0.0282 | | 142 | See | | |
|
336 |
A*01:01:01 | | South African Indian population | 24.0 | 0.1300 | | 50 | See | | |
|
337 |
A*01:01:01 | | South African Mixed ancestry | 24.0 | 0.1200 | | 50 | See | | |
|
338 |
A*01:01:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
339 |
A*01:01:01 | | Spain, Canary Islands, Gran canaria island | 20.0 | 0.1047 | | 215 | See | | |
|
340 |
A*01:01:01 | | USA African American pop 3 | | 0.0440 | | 564 | See | | | |
341 |
A*01:01:01 | | USA Arizona Gila River Pima | | 0.0009 | | 3,000 | See | | | |
342 |
A*01:01:01 | | USA Eastern European | | 0.1420 | | 558 | See | | | |
343 |
A*01:01:01 | | USA San Francisco Caucasian | | 0.1600 | | 220 | See | | | |
344 |
A*01:01:01 | | Vietnam Kinh | 3.0 | 0.0149 | | 101 | See | | |
|
345 |
A*01:01:01:01 | | Bolivia/Chile Aymara NA-DHS_13 (G) | 5.0 (*) | 0.0250 (*) | | 20 | See | | |
|
346 |
A*01:01:01:01 | | Canada Chipewyan NA-DHS_2 (G) | 8.0 (*) | 0.0400 (*) | | 25 | See | | |
|
347 |
A*01:01:01:01 | | Canada Cree NA-DHS_3 (G) | 11.1 (*) | 0.0556 (*) | | 18 | See | | |
|
348 |
A*01:01:01:01 | | Canada Ojibwa NA-DHS_4 (G) | 20.0 (*) | 0.1000 (*) | | 16 | See | | |
|
349 |
A*01:01:01:01 | | Chile Huilliche NA-DHS_14 (G) | 10.0 (*) | 0.0500 (*) | | 20 | See | | |
|
350 |
A*01:01:01:01 | | China Guangdong Province Meizhou Han | | 0.0150 | | 100 | See | | | |
351 |
A*01:01:01:01 | | Colombia Inga NA-DHS_11 (G) | 6.7 (*) | 0.0333 (*) | | 16 | See | | |
|
352 |
A*01:01:01:01 | | Colombia Wayuu NA-DHS_15 (G) | 6.7 (*) | 0.0333 (*) | | 15 | See | | |
|
353 |
A*01:01:01:01 | | Indonesia Java pop 2 | | 0.0280 | | 36 | See | | | |
354 |
A*01:01:01:01 | | Indonesia Sundanese and Javanese | | 0.0250 | | 201 | See | | | |
355 |
A*01:01:01:01 | | Libya Cyrenaica | | 0.1140 | | 118 | See | | | |
356 |
A*01:01:01:01 | | Mexico Mixe NA-DHS_6 (G) | 5.0 (*) | 0.0250 (*) | | 20 | See | | |
|
357 |
A*01:01:01:01 | | Russia Bashkortostan, Bashkirs | 16.7 | 0.0875 | | 120 | See | | |
|
358 |
A*01:01:01:01 | | Russia Bashkortostan, Tatars | 23.4 | 0.1276 | | 192 | See | | |
|
359 |
A*01:01:01:01 | | Russia Nizhny Novgorod, Russians | 22.6 | 0.1162 | | 1,510 | See | | |
|
360 |
A*01:01:01:01 | | Saudi Arabia pop 5 | 4.4 | 0.0222 | | 158 | See | | | |
361 |
A*01:01:01:01 | | USA Italy Ancestry | | 0.1520 | | 273 | See | | | |
362 |
A*01:01:01:01 | | USA Mexican American Mestizo | | 0.0820 | | 553 | See | | |
|
363 |
A*01:01:01:01 | | USA San Francisco Caucasian | | 0.1600 | | 220 | See | | | |
364 |
A*01:01:01:01 | | USA Spain Ancestry | | 0.0750 | | 279 | See | | | |
365 |
A*01:01:01:02N | | Poland BMR | 0.0085 | 0.0000420 | | 23,595 | See | | |
|
366 |
A*01:01:02 | | Bulgaria | | 0 | | 55 | See | | | |
367 |
A*01:01:02 | | China North Han | | 0 | | 105 | See | | | |
368 |
A*01:01:02 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
369 |
A*01:01:02 | | Saudi Arabia pop 5 | 1.3 | 0.0063 | | 158 | See | | | |
370 |
A*01:01:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
371 |
A*01:01:03 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
372 |
A*01:01:33 | | Russia Nizhny Novgorod, Russians | 0.0662 | 0.0003 | | 1,510 | See | | |
|
373 |
A*01:01:38L | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | |
|
374 |
A*01:02 | | Argentina Rosario Toba | 1.2 | 0.0060 | | 86 | See | | | |
375 |
A*01:02 | | Brazil Barra Mansa Rio State Caucasian | | 0.0012 | | 405 | See | | |
|
376 |
A*01:02 | | Brazil Belo Horizonte Caucasian | 0.0 | 0 | | 95 | See | | | |
377 |
A*01:02 | | Brazil Rio de Janeiro Caucasian | | 0.0010 | | 521 | See | | |
|
378 |
A*01:02 | | Brazil Vale do Ribeira Quilombos | 0.0030 | 0 | | 144 | See | | | |
379 |
A*01:02 | | Bulgaria | | 0 | | 55 | See | | | |
380 |
A*01:02 | | Cameroon Baka Pygmy | | 0 | | 10 | See | | | |
381 |
A*01:02 | | Cameroon Bamileke | | 0 | | 77 | See | | | |
382 |
A*01:02 | | Cameroon Beti | | 0.0030 | | 174 | See | | | |
383 |
A*01:02 | | Cameroon Sawa | | 0 | | 13 | See | | | |
384 |
A*01:02 | | Cape Verde Northwestern Islands | | 0 | | 62 | See | | | |
385 |
A*01:02 | | Cape Verde Southeastern Islands | | 0.0160 | | 62 | See | | | |
386 |
A*01:02 | | Central African Republic Mbenzele Pygmy | 0.0 | 0 | | 36 | See | | | |
387 |
A*01:02 | | China Jiangsu Province Han | | 0.0018 | | 334 | See | | | |
388 |
A*01:02 | | China North Han | | 0 | | 105 | See | | | |
389 |
A*01:02 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
390 |
A*01:02 | | Colombia Bogotá Cord Blood | 0.5 | 0.0027 | | 1,463 | See | | | |
391 |
A*01:02 | | Costa Rica African -Caribbean (G) | 2.0 (*) | 0.0100 (*) | | 102 | See | | |
|
392 |
A*01:02 | | Costa Rica Amerindians (G) | 1.6 (*) | 0.0080 (*) | | 125 | See | | |
|
393 |
A*01:02 | | Croatia | | 0 | | 150 | See | | | |
394 |
A*01:02 | | Croatia pop 4 | | 0.0001 | | 4,000 | See | | | |
395 |
A*01:02 | | Cuba Caucasian | 0.0 | 0 | | 70 | See | | | |
396 |
A*01:02 | | Cuba Mixed Race | 0.0 | 0 | | 42 | See | | | |
397 |
A*01:02 | | Czech Republic | | 0 | | 106 | See | | | |
398 |
A*01:02 | | Czech Republic NMDR | | 0.0001 | | 5,099 | See | | | |
399 |
A*01:02 | | France French Bone Marrow Donor Registry | | 0.0073 | | 42,623 | See | | | |
400 |
A*01:02 | | Germany DKMS - Croatia minority | | 0.0002 | | 2,057 | 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.