Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
301 |
B*51:01:01 | | USA Eastern European | | 0.0530 | | 558 | See | | | |
302 |
B*51:01:01 | | USA Italy Ancestry | | 0.0530 | | 273 | See | | | |
303 |
B*51:01:01 | | USA Mexican American Mestizo | | 0.0530 | | 553 | See | | | |
304 |
B*51:01:01 | | Guatemala Kaqchikel NA-DHS_8 (G) | 10.5 (*) | 0.0526 (*) | | 19 | See | | |
|
305 |
B*51:01:01 | | Brazil Rio de Janeiro Black | | 0.0522 | | 68 | See | | |
|
306 |
B*51:01:01 | | Brazil Mixed | | 0.0510 | | 108 | See | | | |
307 |
B*51:01:01 | | Colombia Waunana NA-DHS_20 (G) | 10.0 (*) | 0.0500 (*) | | 20 | See | | |
|
308 |
B*51:01:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.0490 | | 103 | See | | | |
309 |
B*51:01:01 | | USA New Mexico Canoncito Navajo | | 0.0490 | | 42 | See | | | |
310 |
B*51:01:01 | | China Zhejiang Han | | 0.0484 | | 1,734 | See | | |
|
311 |
B*51:01:01 | | Brazil Barra Mansa Rio State Black | | 0.0479 | | 73 | See | | |
|
312 |
B*51:01:01 | | Bolivia/Peru Quechua NA-DHS_12 (G) | 9.5 (*) | 0.0476 (*) | | 21 | See | | |
|
313 |
B*51:01:01 | | Poland BMR | 9.2 | 0.0467 | | 23,595 | See | | |
|
314 |
B*51:01:01 | | Costa Rica Guanacaste Mestizo (G) | 9.2 (*) | 0.0460 (*) | | 110 | See | | |
|
315 |
B*51:01:01 | | China South Han | | 0.0460 | | 284 | See | | | |
316 |
B*51:01:01 | | South Africa Caucasians | | 0.0460 | | 102 | See | | | |
317 |
B*51:01:01 | | Nicaragua Mestizo (G) | 9.0 (*) | 0.0450 (*) | | 155 | See | | |
|
318 |
B*51:01:01 | | England Blood Donors of Mixed Ethnicity | 8.3 | 0.0424 | | 519 | See | | |
|
319 |
B*51:01:01 | | China Yunnan Province Wa | | 0.0420 | | 119 | See | | | |
320 |
B*51:01:01 | | Russia Bashkortostan, Tatars | 8.3 | 0.0417 | | 192 | See | | |
|
321 |
B*51:01:01 | | Morocco Settat Chaouya | 8.2 | 0.0410 | | 98 | See | | | |
322 |
B*51:01:01 | | Morocco Atlantic Coast Chaouya | | 0.0410 | | 98 | See | | | |
323 |
B*51:01:01 | | South African Indian population | 8.0 | 0.0400 | | 50 | See | | |
|
324 |
B*51:01:01 | | Taiwan Minnan pop 1 | 7.8 | 0.0390 | | 102 | See | | | |
325 |
B*51:01:01 | | USA San Francisco Caucasian | | 0.0390 | | 220 | See | | | |
326 |
B*51:01:01 | | India North pop 2 | | 0.0380 | | 72 | See | | | |
327 |
B*51:01:01 | | Colombia Embera NA-DHS_19 (G) | 7.1 (*) | 0.0357 (*) | | 14 | See | | |
|
328 |
B*51:01:01 | | Colombia Inga NA-DHS_11 (G) | 7.1 (*) | 0.0357 (*) | | 16 | See | | |
|
329 |
B*51:01:01 | | Russia Nizhny Novgorod, Russians | 6.6 | 0.0334 | | 1,510 | See | | |
|
330 |
B*51:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 6.5 | 0.0330 | | 5,266 | See | | |
|
331 |
B*51:01:01 | | Indonesia Sundanese and Javanese | | 0.0320 | | 201 | See | | | |
332 |
B*51:01:01 | | Thailand pop 3 | | 0.0310 | | 49 | See | | | |
333 |
B*51:01:01 | | South African Mixed ancestry | 6.0 | 0.0300 | | 50 | See | | |
|
334 |
B*51:01:01 | | Mexico Zapotec NA-DHS_7 (G) | 5.9 (*) | 0.0294 (*) | | 20 | See | | |
|
335 |
B*51:01:01 | | Costa Rica Amerindians (G) | 5.8 (*) | 0.0290 (*) | | 125 | See | | |
|
336 |
B*51:01:01 | | Costa Rica Central Valley Mestizo (G) | 5.8 (*) | 0.0290 (*) | | 221 | See | | |
|
337 |
B*51:01:01 | | Indonesia Java pop 2 | | 0.0280 | | 36 | See | | | |
338 |
B*51:01:01 | | Costa Rica Guaymi NA-DHS_10 (G) | 5.6 (*) | 0.0278 (*) | | 18 | See | | |
|
339 |
B*51:01:01 | | Taiwan Hakka | 5.5 | 0.0270 | | 55 | See | | | |
340 |
B*51:01:01 | | Russian Federation Vologda Region | 5.0 | 0.0252 | | 119 | See | | |
|
341 |
B*51:01:01 | | Bolivia/Chile Aymara NA-DHS_13 (G) | 5.0 (*) | 0.0250 (*) | | 20 | See | | |
|
342 |
B*51:01:01 | | Mexico Mixtec NA-DHS_5 (G) | 5.0 (*) | 0.0250 (*) | | 20 | See | | |
|
343 |
B*51:01:01 | | China Jingpo Minority | 4.9 | 0.0240 | | 105 | See | | |
|
344 |
B*51:01:01 | | Ivory Coast Adiopodoume Akan | | 0.0230 | | 44 | See | | | |
345 |
B*51:01:01 | | Singapore Chinese Han | | 0.0230 | | 94 | See | | | |
346 |
B*51:01:01 | | Costa Rica African -Caribbean (G) | 4.0 (*) | 0.0200 (*) | | 102 | See | | |
|
347 |
B*51:01:01 | | Taiwan Saisiat | 3.9 | 0.0200 | | 51 | See | | | |
348 |
B*51:01:01 | | Singapore Javaneses | | 0.0200 | | 51 | See | | | |
349 |
B*51:01:01 | | Vietnam Kinh | 4.0 | 0.0198 | | 101 | See | | |
|
350 |
B*51:01:01 | | Kenya | | 0.0170 | | 144 | See | | | |
351 |
B*51:01:01 | | Cameroon Yaounde | | 0.0160 | | 92 | See | | | |
352 |
B*51:01:01 | | Senegal Niokholo Mandenka | | 0.0160 | | 165 | See | | | |
353 |
B*51:01:01 | | Guinea Bissau | | 0.0150 | | 65 | See | | | |
354 |
B*51:01:01 | | South African Black | 2.1 | 0.0141 | | 142 | See | | |
|
355 |
B*51:01:01 | | China Yunnan Province Jinuo | | 0.0140 | | 109 | See | | | |
356 |
B*51:01:01 | | USA Arizona Pima | | 0.0110 | | 100 | See | | | |
357 |
B*51:01:01 | | Venezuela Perja Mountain Bari | | 0.0110 | | 55 | See | | | |
358 |
B*51:01:01 | | Taiwan Pazeh | 1.8 | 0.0090 | | 55 | See | | | |
359 |
B*51:01:01 | | USA Spain Ancestry | | 0.0090 | | 279 | See | | | |
360 |
B*51:01:01 | | China Guangdong Province Meizhou Han | | 0.0050 | | 100 | See | | | |
361 |
B*51:01:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0050 | | 146 | See | | | |
362 |
B*51:01:01 | | Singapore Thai | | 0.0050 | | 100 | See | | | |
363 |
B*51:01:01 | | USA Arizona Gila River Pima | | 0.0020 | | 3,000 | See | | | |
364 |
B*51:01:01 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
365 |
B*51:01:01 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
366 |
B*51:01:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
367 |
B*51:01:01 | | Taiwan Ami | 0.0 | 0 | | 98 | See | | | |
368 |
B*51:01:01 | | Taiwan Atayal | 0.0 | 0 | | 106 | See | | | |
369 |
B*51:01:01 | | Taiwan Bunun | 0.0 | 0 | | 101 | See | | | |
370 |
B*51:01:01 | | Taiwan Paiwan | 0.0 | 0 | | 51 | See | | | |
371 |
B*51:01:01 | | Taiwan Puyuma | 0.0 | 0 | | 50 | See | | | |
372 |
B*51:01:01 | | Taiwan Rukai | 0.0 | 0 | | 50 | See | | | |
373 |
B*51:01:01 | | Taiwan Siraya | 0.0 | 0 | | 51 | See | | | |
374 |
B*51:01:01 | | Taiwan Tao | 0.0 | 0 | | 50 | See | | | |
375 |
B*51:01:01 | | Taiwan Taroko | 0.0 | 0 | | 55 | See | | | |
376 |
B*51:01:01 | | Taiwan Thao | 0.0 | 0 | | 30 | See | | | |
377 |
B*51:01:01 | | Taiwan Tsou | 0.0 | 0 | | 51 | See | | | |
378 |
B*51:01:01:01 | | Russia Bashkortostan, Bashkirs | 0.8 | 0.0042 | | 120 | See | | |
|
379 |
B*51:01:01:01 | | Russia Nizhny Novgorod, Russians | 0.7 | 0.0036 | | 1,510 | See | | |
|
380 |
B*51:01:01:01 | | Russia Bashkortostan, Tatars | 0.5 | 0.0026 | | 192 | See | | |
|
381 |
B*51:01:02 | | Malaysia Kedah Baling Kensiu | | 0.1000 | | 25 | See | | | |
382 |
B*51:01:02 | | Malaysia Perak Grik Jehai | | 0.0400 | | 25 | See | | | |
383 |
B*51:01:02 | | Singapore Thai | | 0.0300 | | 100 | See | | | |
384 |
B*51:01:02 | | Iran Baloch | | 0.0250 | | 100 | See | | | |
385 |
B*51:01:02 | | Singapore Riau Malay | | 0.0150 | | 132 | See | | | |
386 |
B*51:01:02 | | South African Mixed ancestry | 2.0 | 0.0100 | | 50 | See | | |
|
387 |
B*51:01:02 | | China Guangdong Province Meizhou Han | | 0.0100 | | 100 | See | | | |
388 |
B*51:01:02 | | India Khandesh Region Pawra | | 0.0100 | | 50 | See | | | |
389 |
B*51:01:02 | | Cape Verde Northwestern Islands | | 0.0080 | | 62 | See | | | |
390 |
B*51:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 1.0 | 0.0051 | | 5,266 | See | | |
|
391 |
B*51:01:02 | | China Inner Mongolia Region | | 0.0050 | | 102 | See | | | |
392 |
B*51:01:02 | | China North Han | | 0.0050 | | 105 | See | | | |
393 |
B*51:01:02 | | China Qinghai Province Hui | | 0.0050 | | 110 | See | | | |
394 |
B*51:01:02 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0050 | | 146 | See | | | |
395 |
B*51:01:02 | | China South Han | | 0.0040 | | 284 | See | | | |
396 |
B*51:01:02 | | Saudi Arabia pop 5 | 0.6 | 0.0032 | | 158 | See | | | |
397 |
B*51:01:02 | | China Zhejiang Han | | 0.0029 | | 1,734 | See | | |
|
398 |
B*51:01:02 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
399 |
B*51:01:02 | | Saudi Arabia pop 6 (G) | | 0.0000170 (*) | | 28,927 | See | | | |
400 |
B*51:01:02 | | Bulgaria | | 0 | | 55 | 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.