Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 501 to 600 (from 3,651) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 37  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*11-B*40-DRB1*04:05  USA NMDP Asian and Pacific Islander 0.2000359,423
 502  A*23-B*44-DRB1*04:05  USA NMDP Hispanic 0.2000449,844
 503  A*24:02-B*40:02-C*03:04-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.20003,078
 504  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 505  A*24-B*59-DRB1*04:05  USA NMDP Asian and Pacific Islander 0.2000359,423
 506  A*24-B*35-DRB1*04:05  Chile Santiago 0.1974920
 507  A*30:01-B*39:10-DRB1*04:05  Israel Ethiopia Jews 0.19705,928
 508  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*02:01:01-DPA1*02:01:08-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 509  A*03:01:01-B*50:01:01-C*14:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 510  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 511  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 512  A*24:03:01-B*40:02:01-C*14:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 513  A*26:01:01-B*07:06:01-C*06:02:01-DRB1*04:05:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 514  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 515  A*66:01:01-B*07:06:01-C*06:02:01-DRB1*04:05:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 516  A*30:10-B*41:01-C*06:02-DRB1*04:05-DQB1*02:01  USA NMDP Caribean Indian 0.194014,339
 517  A*24:02-B*52:01-C*12:02-DRB1*04:05  Japan pop 16 0.193018,604
 518  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.19275,266
 519  A*02:05-B*49:01-C*07:01-DRB1*04:05  Germany DKMS - United Kingdom minority 0.19201,043
 520  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.19071,734
 521  A*01:01-B*58:01-C*07:01-DRB1*04:05-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 522  A*02:01-B*44:03-C*14:03-DRB1*04:05-DQB1*06:04-DPB1*04:02  Panama 0.1900462
 523  A*02:02-B*15:16-C*14:02-DRB1*04:05-DQB1*03:02-DPB1*105:01  Panama 0.1900462
 524  A*02:02-B*41:01-C*17:01-DRB1*04:05-DQB1*02:01-DPB1*02:01  Panama 0.1900462
 525  A*02:02-B*57:01-C*06:02-DRB1*04:05-DQB1*06:03-DPB1*02:01  Panama 0.1900462
 526  A*02:13-B*40:02-C*01:02-DRB1*04:05-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 527  A*02:22-B*35:01-C*03:04-DRB1*04:05-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 528  A*02:22-B*35:01-C*04:01-DRB1*04:05-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 529  A*23:01-B*15:03-C*02:02-DRB1*04:05-DQB1*02:02-DPB1*01:01  Panama 0.1900462
 530  A*24:02-B*08:01-C*05:01-DRB1*04:05-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 531  A*24:02-B*39:08-C*07:02-DRB1*04:05-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 532  A*24:02-B*40:01-C*01:02-DRB1*04:05-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 533  A*24:02-B*57:02-C*14:02-DRB1*04:05-DQB1*03:02-DPB1*03:01  Panama 0.1900462
 534  A*30:02-B*51:01-C*04:01-DRB1*04:05-DQB1*03:02-DPB1*21:01  Panama 0.1900462
 535  A*66:03-B*53:01-C*03:03-DRB1*04:05-DQB1*02:02-DPB1*03:01  Panama 0.1900462
 536  A*68:02-B*49:01-C*07:01-DRB1*04:05-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 537  A*74:01-B*15:01-C*01:02-DRB1*04:05-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 538  A*11:01-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.188018,604
 539  A*26:01-B*54:01-C*01:02-DRB1*04:05  Japan pop 16 0.188018,604
 540  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.18635,266
 541  A*01:01-B*57:01-C*15:08-DRB1*04:05-DQB1*03:03  Malaysia Peninsular Indian 0.1845271
 542  A*02:01-B*40:04-C*15:02-DRB1*04:05-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 543  A*02:11-B*40:04-C*15:02-DRB1*04:05-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 544  A*11:01-B*51:01-C*14:02-DRB1*04:05-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 545  A*30:01-B*13:02-C*07:02-DRB1*04:05-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 546  A*24:02-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.183018,604
 547  A*24:02-B*54:01-C*08:03-DRB1*04:05  Japan pop 16 0.183018,604
 548  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*14:01  China Zhejiang Han pop 2 0.1801833
 549  A*11:01-B*55:02-C*01:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.17901,772
 550  A*24:02-B*40:01-C*03:04-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.17801,772
 551  A*02:06-B*51:01-C*14:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.17701,772
 552  A*30:01-B*07:02-DRB1*04:05  Israel Ethiopia Jews 0.17705,928
 553  DRB1*04:05-DQB1*03:02  USA Asian pop 2 0.17501,772
 554  A*02:01-B*40:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.17423,892
 555  A*11:02-B*27:04-DRB1*04:05  Hong Kong Chinese cord blood registry 0.17343,892
 556  A*02:01-B*73:01-C*15:05-DRB1*04:05-DQB1*02:01  Germany DKMS - Italy minority 0.17301,159
 557  A*02:01-B*40:01-C*03:04-DRB1*04:05  Japan pop 16 0.172018,604
 558  DRB1*04:05:01-DQB1*04:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1720496
 559  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.1714833
 560  A*02:05-B*49:01-C*07:01-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 561  DRB1*04:05-DQB1*03:01  Italy pop 5 0.1700975
 562  A*02:03-B*15:08-C*01:02-DRB1*04:05-DQB1*04:01  India Northeast UCBB 0.1689296
 563  A*03:01-B*35:03-C*04:01-DRB1*04:05-DQB1*06:03  India Northeast UCBB 0.1689296
 564  A*24:02-B*40:01-C*07:02-DRB1*04:05-DQB1*05:01  India Northeast UCBB 0.1689296
 565  A*26:01-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02  India Northeast UCBB 0.1689296
 566  A*68:01-B*35:01-C*12:02-DRB1*04:05-DQB1*02:02  India Northeast UCBB 0.1689296
 567  A*11:01-B*40:01-C*03:04-DRB1*04:05  Hong Kong Chinese BMDR 0.16847,595
 568  A*11:01:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.16755,266
 569  A*02:01-B*54:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.16643,892
 570  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.1655833
 571  DRB1*04:05:01-DPB1*14:01  China Inner Mongolia Autonomous Region Northeast 0.1640496
 572  DRB1*04:05-DQB1*03:01  USA Hispanic pop 2 0.16401,999
 573  DRB1*04:05:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1630496
 574  A*02:10-B*40:06-C*08:01-DRB1*04:05  Japan pop 16 0.162018,604
 575  A*02:01-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 576  B*14:02-DRB1*04:05  Italy pop 5 0.1600975
 577  A*01:01-B*39:10-C*12:03-DRB1*04:05-DQB1*02:02-DPB1*03:01  Tanzania Maasai 0.1597336
 578  A*01:01-B*58:02-C*07:249-DRB1*04:05-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 579  A*01:03-B*57:02-C*06:02-DRB1*04:05-DQB1*03:02-DPB1*124:01  Tanzania Maasai 0.1597336
 580  A*02:01-B*53:01-C*06:02-DRB1*04:05-DQB1*02:02-DPB1*03:01  Tanzania Maasai 0.1597336
 581  A*03:01-B*53:01-C*04:39-DRB1*04:05-DQB1*03:02-DPB1*04:02  Tanzania Maasai 0.1597336
 582  A*03:01-B*53:01-C*06:02-DRB1*04:05-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.1597336
 583  A*26:01-B*58:02-C*04:01-DRB1*04:05-DQB1*06:03-DPB1*04:01  Tanzania Maasai 0.1597336
 584  A*29:02-B*49:01-C*07:65-DRB1*04:05-DQB1*03:01-DPB1*17:01  Tanzania Maasai 0.1597336
 585  A*30:01-B*41:01-C*07:01-DRB1*04:05-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 586  A*30:04-B*41:01-C*07:249-DRB1*04:05-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.1597336
 587  A*30:08-B*41:01-C*07:01-DRB1*04:05-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.1597336
 588  A*32:01-B*41:01-C*06:137-DRB1*04:05-DQB1*03:02-DPB1*55:01  Tanzania Maasai 0.1597336
 589  A*68:02-B*15:10-C*03:04-DRB1*04:05-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 590  A*68:02-B*18:09-C*07:04-DRB1*04:05-DQB1*06:04-DPB1*107:01  Tanzania Maasai 0.1597336
 591  A*80:01-B*58:01-C*04:01-DRB1*04:05-DQB1*03:02-DPB1*463:01  Tanzania Maasai 0.1597336
 592  A*02:01-B*54:01-C*01:02-DRB1*04:05  Hong Kong Chinese BMDR 0.15947,595
 593  A*02:01:01-B*51:01:01-C*16:01:01-DRB1*04:05-DQB1*02:01:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.158328,927
 594  A*11:01-B*54:01-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.15797,595
 595  A*11:01-B*18:01-C*07:04-DRB1*04:05-DQB1*04:02  Malaysia Peninsular Malay 0.1577951
 596  A*02-B*49-DRB1*04:05-DQA1*03:02-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 597  A*24:02-B*51:01-C*14:02-DRB1*04:05  Japan pop 16 0.156018,604
 598  A*24-B*15-DRB1*04:05-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.1560641
 599  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*135:01  China Zhejiang Han pop 2 0.1550833
 600  A*02:17-B*41:01-DRB1*04:05  Israel YemenJews 0.153015,542

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 501 to 600 (from 3,651) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 37  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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