Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Displaying 501 to 600 (from 5,232) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 53  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*31:01-B*35:17-C*03:03-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 502  A*68:03-B*52:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 503  A*68:05-B*35:17-C*03:03-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 504  A*68:05-B*52:01-C*03:03-DRB1*04:11-DQA1*03:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.2165339
 505  A*11:01-B*55:01-C*03:03-DRB1*04:07  Germany DKMS - Portugal minority 0.21301,176
 506  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 0.21155,926
 507  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA NMDP Caribean Indian 0.211514,339
 508  A*11:01-B*55:01-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 509  A*24:02-B*15:01-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.2101714
 510  B*13:02-C*03:03  Mexico Mexico City Mestizo pop 2 0.2100234
 511  B*15:01-C*03:03  Mexico Mexico City Mestizo pop 2 0.2100234
 512  B*35:01-C*03:03  Mexico Mexico City Mestizo pop 2 0.2100234
 513  B*35:12-C*03:03  Mexico Mexico City Mestizo pop 2 0.2100234
 514  B*37:01-C*03:03  Mexico Mexico City Mestizo pop 2 0.2100234
 515  B*55:01-C*03:03  Mexico Mexico City Mestizo pop 2 0.2100234
 516  A*11:01-B*55:01-C*03:03-DRB1*14:01  Germany DKMS - Greece minority 0.20801,894
 517  A*02:01-B*15:01-C*03:03-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.20465,926
 518  A*02:01-B*15:01-C*03:03-DRB1*04:01  Poland DKMS 0.204320,653
 519  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.20181,734
 520  A*01:01-B*15:01-C*03:03-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 521  A*01:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 522  A*01:01-B*35:03-C*03:03-DRB1*14:01-DQB1*05:03:01  England North West 0.2000298
 523  A*01:01-B*55:01-C*03:03-DRB1*14:01-DQB1*05:03:01  England North West 0.2000298
 524  A*02:01-B*15:01-C*03:03-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 525  A*02:01-B*15:01-C*03:03-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 526  A*02:01-B*15:01-C*03:03-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 527  A*02:01-B*15:01-C*03:03-DRB1*11:03-DQB1*03:01  England North West 0.2000298
 528  A*02:01-B*18:01-C*03:03-DRB1*16:02:01-DQB1*05:02:01  England North West 0.2000298
 529  A*02:01-B*55:01-C*03:03-DRB1*12:01-DQB1*06:03:01  England North West 0.2000298
 530  A*02:06-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 531  A*03:01-B*55:01-C*03:03-DRB1*07:01  Italy pop 5 0.2000975
 532  A*11:01-B*55:01-C*03:03-DRB1*04:03:01-DQB1*03:02:01  England North West 0.2000298
 533  A*11:01-B*55:01-C*03:03-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 534  A*23:01-B*15:01-C*03:03-DRB1*04:01:01-DQB1*06:02:01  England North West 0.2000298
 535  A*24:02-B*15:01-C*03:03-DRB1*04:07:01-DQB1*05:01:01  England North West 0.2000298
 536  A*24:02-B*15:07-C*03:03-DRB1*04:04-DQB1*03:02:01  England North West 0.2000298
 537  A*24:02-B*55:01-C*03:03-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 538  A*24:02-B*55:01-C*03:03-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 539  A*26:01-B*38:01:01-C*03:03-DRB1*11:03-DQB1*05:01:01  England North West 0.2000298
 540  A*26:01-C*03:03  Italy pop 5 0.2000975
 541  A*26:02-B*15:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.20003,078
 542  A*29:02:01-B*07:02-C*03:03-DRB1*13:01:01-DQB1*06:03:01  England North West 0.2000298
 543  A*29:02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 544  A*30:01-B*55:01-C*03:03-DRB1*04:01:01-DQB1*03:01  England North West 0.2000298
 545  A*31:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 546  A*32:01-B*27:05-C*03:03-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 547  A*32:01-B*55:01-C*03:03-DRB1*09:01:02-DQB1*03:03:02  England North West 0.2000298
 548  A*66:01-B*15:03-C*03:03-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 549  A*02:01-B*55:01-C*03:03-DRB1*14:01  Germany DKMS - Spain minority 0.19901,107
 550  A*24:02-B*15:01-C*03:03-DRB1*11:01  Germany DKMS - Netherlands minority 0.19801,374
 551  A*24:02-B*35:01-C*03:03-DRB1*09:01  Japan pop 16 0.198018,604
 552  A*24:02-B*55:01-C*03:03-DRB1*13:01  Germany DKMS - Greece minority 0.19801,894
 553  A*03:01-B*15:01-C*03:03-DRB1*03:01  Germany DKMS - Spain minority 0.19701,107
 554  A*24:02-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - China minority 0.19701,282
 555  A*02:01-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - Austria minority 0.19601,698
 556  A*24:02-B*15:01-C*03:03-DRB1*15:01  Germany DKMS - United Kingdom minority 0.19501,043
 557  A*26:01-B*44:02-C*03:03-DRB1*11:03  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 558  A*01:01:01-B*15:30:01-C*03:03:01-DRB1*15:06:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 559  A*02:01:01-B*13:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 560  A*02:01:01-B*18:01:01-C*03:03:01-DRB1*11:04:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 561  A*02:01:01-B*41:02:01-C*03:03:01-DRB1*04:04:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 562  A*02:01:01-B*42:01:01-C*03:03:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 563  A*02:01:01-B*81:01:01-C*03:03:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:05-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 564  A*02:04-B*15:04:01-C*03:03:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 565  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 566  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 567  A*11:01:01-B*14:01:01-C*03:03:01-DRB1*07:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 568  A*11:01:01-B*55:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 569  A*25:01:01-B*35:03:01-C*03:03:01-DRB1*13:02:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*09:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 570  A*26:01:01-B*55:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 571  A*26:01:01-B*55:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 572  A*29:02:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 573  A*31:01:02-B*15:04:01-C*03:03:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*416:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 574  A*32:01:01-B*58:02:01-C*03:03:01-DRB1*11:02:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 575  A*36:01-B*55:01:01-C*03:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 576  A*68:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 577  A*02:06:01-B*27:05:02-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.1927519
 578  A*11:01:01-B*51:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.1927519
 579  A*68:01:01-B*15:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.1927519
 580  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.19211,376
 581  A*01:01-B*55:01-C*03:03-DRB1*01:01  Germany DKMS - United Kingdom minority 0.19201,043
 582  A*24:02-B*55:01-C*03:03-DRB1*13:02  Germany DKMS - United Kingdom minority 0.19201,043
 583  B*15:05-C*03:03  USA Asian pop 2 0.19201,772
 584  A*03:01:01-B*55:01:01-C*03:03:01-DRB1*14:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.1914221
 585  A*24:02-B*15:01-C*03:03-DRB1*11:03-DQB1*03:01-DPB1*04:01  Panama 0.1900462
 586  A*24:02-B*15:03-C*03:03-DRB1*15:03-DQB1*03:01-DPB1*14:01  Panama 0.1900462
 587  A*29:02-B*55:01-C*03:03-DRB1*14:01-DQB1*05:03-DPB1*04:01  Panama 0.1900462
 588  A*66:03-B*53:01-C*03:03-DRB1*04:05-DQB1*02:02-DPB1*03:01  Panama 0.1900462
 589  A*68:01-B*07:02-C*03:03-DRB1*13:02-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 590  A*31:01:02-B*15:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.1888519
 591  A*03:01-B*15:01-C*03:03-DRB1*13:01  Germany DKMS - Netherlands minority 0.18801,374
 592  A*11:01-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.188018,604
 593  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.18701,772
 594  A*24:02:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.18541,510
 595  A*02:01-B*35:03-C*03:03-DRB1*14:01-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 596  A*02:06-B*15:01-C*03:03-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 597  A*02:11-B*15:01-C*03:03-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 0.1845271
 598  A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 599  A*11:01-B*15:05-C*03:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 600  A*24:02-B*15:01-C*03:03-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271

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 5,232) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 53  


   

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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