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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 501 to 600 (from 6,284) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 63  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*68:01-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 502  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.5900975
 503  A*24:02-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.58981,376
 504  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
 505  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
 506  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
 507  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
 508  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
 509  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
 510  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
 511  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
 512  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
 513  A*02:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.58701,159
 514  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
 515  A*02:01-B*35:01-C*04:01-DRB1*14:01  Italy pop 5 0.5800975
 516  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Italy pop 5 0.5800975
 517  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
 518  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
 519  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.5700462
 520  A*24:02-B*35:01-C*04:01-DRB1*14:02-DQB1*03:01-DPB1*04:02  Panama 0.5700462
 521  A*02:01-B*35:01-DRB1*01:02-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 522  A*02:01-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 523  A*02:01-B*35:01-DRB1*04:13-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 524  A*02:01-B*35:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 525  A*02:01-B*35:01-DRB1*08:02-DQB1*04:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 526  A*02:01-B*35:01-DRB1*14:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 527  A*02:01-B*35:01-DRB1*14:01-DQB1*05:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 528  A*02:01-B*35:01-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 529  A*11:01-B*35:01-DRB1*15:01-DQB1*06:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 530  A*23:01-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 531  A*23:01-B*35:01-DRB1*11:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 532  A*24:02-B*35:01-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 533  A*24:02-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 534  A*24:02-B*35:01-DRB1*13:03-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 535  A*24:02-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 536  A*25:01-B*35:01-DRB1*04:04-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 537  A*26:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 538  A*31:01-B*35:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 539  A*31:01-B*35:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 540  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
 541  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.565424,582
 542  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
 543  A*34:02-B*35:01  USA African American pop 4 0.55602,411
 544  A*68:01-B*35:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.5535271
 545  B*35:01-DRB1*15:01  Italy pop 5 0.5500975
 546  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
 547  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Spain minority 0.54701,107
 548  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
 549  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.54001,028
 550  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
 551  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 552  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
 553  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
 554  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
 555  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
 556  A*02:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.53301,406
 557  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.53301,374
 558  A*26:01-B*35:01-DRB1*04:02  Israel Poland Jews 0.532013,871
 559  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.53104,856
 560  A*11:01-B*35:01-C*04:01-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.52904,856
 561  A*02:01-B*35:01  USA Asian pop 2 0.52101,772
 562  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
 563  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
 564  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
 565  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
 566  A*02:01-B*35:01-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 567  A*02:01-B*35:01-DRB1*14:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 568  A*02:06-B*35:01-DRB1*04:03  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 569  A*02:06-B*35:01-DRB1*16:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 570  B*35:01-DRB1*13:01  Italy pop 5 0.5200975
 571  A*01:01-B*35:01-DRB1*13:02-DQB1*06:04  Iran Tabriz Azeris 0.515597
 572  A*01:02-B*35:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 573  A*01:02-B*35:01-DRB1*14:02-DQB1*03:01  Iran Tabriz Azeris 0.515597
 574  A*02:50-B*35:01-DRB1*11:01-DQB1*04:01  Iran Tabriz Azeris 0.515597
 575  A*03:01-B*35:01-DRB1*01:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 576  A*03:01-B*35:01-DRB1*07:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 577  A*11:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 578  A*11:01-B*35:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 579  A*24:02-B*35:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 580  A*24:02-B*35:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 581  A*29:01-B*35:01-DRB1*11:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 582  A*30:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 583  A*30:01-B*35:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 584  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.51401,894
 585  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.51321,075
 586  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 587  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 588  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
 589  A*02:01-B*35:01-DRB1*12:01  Israel Ashkenazi Jews pop 3 0.50304,625
 590  A*03:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.5000298
 591  A*24:02-B*35:01-C*04:01-DRB1*01:03-DQB1*05:01:01  England North West 0.5000298
 592  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
 593  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
 594  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
 595  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
 596  B*35:01-DRB1*14:54  Italy pop 5 0.5000975
 597  A*02:01-B*35:01-DRB1*12:01  Israel Poland Jews 0.496013,871
 598  A*11:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.49601,043
 599  A*02:06:01-B*35:01:01-C*03:03:01-DRB1*08:03:02-DQB1*06:02:01  Vietnam Kinh 0.4950101
 600  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101

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 6,284) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 63  


   

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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