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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 501 to 600 (from 7,027) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 71  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*68:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 502  A*68:01-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 503  A*68:01-B*35:01-DRB1*14:01-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 504  A*68:01-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 505  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.5900975
 506  A*24:02-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.58981,376
 507  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 508  A*02:01:01-B*35:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 509  A*03:01:01-B*35:01:01-C*03:02:02-DRB1*11:01:02-DQB1*03:19:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 510  A*11:01:01-B*35:01:01-C*12:03:01-DRB1*04:11:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 511  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 512  A*29:02:01-B*35:01:01-C*16:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 513  A*30:02:01-B*35:01:01-C*17:01:01-DRB1*04:03:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 514  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 515  A*29:02:01-B*35:01:01-C*16:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 516  A*02:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.58701,159
 517  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 518  A*02:01-B*35:01-C*04:01-DRB1*14:01  Italy pop 5 0.5800975
 519  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Italy pop 5 0.5800975
 520  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 521  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.5750174
 522  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.5700462
 523  A*24:02-B*35:01-C*04:01-DRB1*14:02-DQB1*03:01-DPB1*04:02  Panama 0.5700462
 524  A*02:01-B*35:01-DRB1*01:02-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 525  A*02:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 526  A*02:01-B*35:01-DRB1*04:13-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 527  A*02:01-B*35:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 528  A*02:01-B*35:01-DRB1*08:02-DQB1*04:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 529  A*02:01-B*35:01-DRB1*14:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 530  A*02:01-B*35:01-DRB1*14:01-DQB1*05:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 531  A*02:01-B*35:01-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 532  A*11:01-B*35:01-DRB1*15:01-DQB1*06:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 533  A*23:01-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 534  A*23:01-B*35:01-DRB1*11:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 535  A*24:02-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 536  A*24:02-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 537  A*24:02-B*35:01-DRB1*13:03-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 538  A*24:02-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 539  A*25:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 540  A*26:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 541  A*31:01-B*35:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 542  A*31:01-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 543  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.56671,242,890
 544  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.565424,582
 545  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.5620356
 546  A*34:02-B*35:01  USA African American pop 4 0.55602,411
 547  A*68:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.5535271
 548  B*35:01-DRB1*15:01  Italy pop 5 0.5500975
 549  A*24:02-B*35:01-C*04:01-DRB1*14:02-DQB1*03:01  USA NMDP American Indian South or Central America 0.54955,926
 550  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Spain minority 0.54701,107
 551  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.544670,890
 552  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.54001,028
 553  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.53963,456,066
 554  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 555  A*02:11:01-B*35:01:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 556  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:02:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 557  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 558  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 559  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.53301,406
 560  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.53301,374
 561  A*26:01-B*35:01-DRB1*04:02  Israel Poland Jews 0.532013,871
 562  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.53104,856
 563  A*11:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.52904,856
 564  A*02:01-B*35:01  USA Asian pop 2 0.52101,772
 565  A*11:01-B*35:01-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*03:01  USA San Diego 0.5210496
 566  A*11:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.5210496
 567  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 568  A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 569  A*02:01-B*35:01-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 570  A*02:01-B*35:01-DRB1*14:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 571  A*02:06-B*35:01-DRB1*04:03  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 572  A*02:06-B*35:01-DRB1*16:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 573  B*35:01-DRB1*13:01  Italy pop 5 0.5200975
 574  A*01:01-B*35:01-DRB1*13:02-DQB1*06:04  Iran Tabriz Azeris 0.515597
 575  A*01:02-B*35:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 576  A*01:02-B*35:01-DRB1*14:02-DQB1*03:01  Iran Tabriz Azeris 0.515597
 577  A*02:50-B*35:01-DRB1*11:01-DQB1*04:01  Iran Tabriz Azeris 0.515597
 578  A*03:01-B*35:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 579  A*03:01-B*35:01-DRB1*07:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 580  A*11:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 581  A*11:01-B*35:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 582  A*24:02-B*35:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 583  A*24:02-B*35:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 584  A*29:01-B*35:01-DRB1*11:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 585  A*30:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 586  A*30:01-B*35:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 587  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.51401,894
 588  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.51321,075
 589  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 590  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 591  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.51175,829
 592  A*01:01-B*35:01-C*04:01-DRB1*12:02-DQB1*05:02  India Northeast UCBB 0.5068296
 593  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.5057146,714
 594  A*02:01-B*35:01-DRB1*12:01  Israel Ashkenazi Jews pop 3 0.50304,625
 595  A*03:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.5000298
 596  A*24:02-B*35:01-C*04:01-DRB1*01:03-DQB1*05:01:01  England North West 0.5000298
 597  A*29:02-B*35:01-C*04:01-DRB1*15:03-DQA1*05:01-DQB1*06:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 598  A*30:01-B*35:01-C*07:05-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 599  A*34:02-B*35:01-C*08:04-DRB1*15:03-DQA1*01:01-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 600  A*66:01-B*35:01-C*03:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100

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 7,027) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 71  


   

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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