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 12,273) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 123  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 2.2100496
 502  A*02-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 2.200095
 503  A*29:02:01-B*44:03-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 2.2000298
 504  A*29-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 2.200095
 505  B*58:01-DRB1*03:01-DQB1*02:01/02:02  South Korea pop 3 2.2000485
 506  DRB1*03:01-DQA1*03:01-DQB1*02:01  India Northeast Vaish 2.2000198
 507  DRB1*03:01-DQA1*05:01-DQB1*02:01  South Korea pop 1 2.2000324
 508  DRB1*04:05-DQA1*03:01-DQB1*02:01  Italy Sardinia Sorgono 2.200093
 509  DRB1*04:05-DQA1*03:01-DQB1*02:01  Italy Sardinia Sassari 2.200091
 510  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 2 2.2000207
 511  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 2.194370,890
 512  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 2.18365,849
 513  A*01-B*08-DRB1*07-DQB1*02  Mexico Tamaulipas, Ciudad Victoria 2.173923
 514  A*02-B*51-DRB1*07-DQB1*02  Mexico Tamaulipas, Ciudad Victoria 2.173923
 515  A*33-B*53-DRB1*09-DQB1*02  Mexico Tamaulipas, Ciudad Victoria 2.173923
 516  A*29-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 2.1611641
 517  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 2.15504,335
 518  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Campeche Rural 2.127747
 519  A*24:02-B*08:50-C*07:01-DRB1*03:01-DQB1*02:01  Colombia North Chimila Amerindians 2.127747
 520  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 2.12681,075
 521  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 2.1050186
 522  A*29-B*44-DRB1*07-DQB1*02  Mexico Chihuahua Chihuahua City 2.1008119
 523  A*01:01:01-B*50:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Morocco Atlantic Coast Chaouya 2.100098
 524  DRB1*03:01-DQB1*02:01-DPB1*01:01  Ireland South 2.1000250
 525  DRB1*07:01-DQB1*02:02-DPB1*13:01  South Korea pop 1 2.1000324
 526  A*29-B*44-DRB1*07-DQB1*02  Mexico Chihuahua Rural 2.0921236
 527  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 2.0833120
 528  DRB1*13-DQB1*02  Morocco pop 2 2.0800110
 529  DRB1*07:01:01:01-DQB1*02:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 2.0700496
 530  A*29-B*44-DRB1*07-DQB1*02  Mexico Coahuila Rural 2.0642216
 531  A*01:02-B*08:01-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 2.061997
 532  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Coahuila, Saltillo 2.054872
 533  A*31-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Saltillo 2.054872
 534  DQB1*02:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 2.0270496
 535  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 2.025499,672
 536  DRB1*03:01-DQB1*02:01  Cretan Islanders 2.0232124
 537  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Baja California, Tijuana 2.000025
 538  A*02-B*18-DRB1*03:01-DQB1*02  Mexico Baja Californa, Mexicali 2.0000100
 539  A*03-B*50-DRB1*07-DQB1*02  Mexico Baja California, Tijuana 2.000025
 540  A*23-B*07-DRB1*09-DQB1*02  Mexico Quintana Roo Rural 2.000050
 541  A*25-B*51-DRB1*07-DQB1*02  Mexico Baja California, Tijuana 2.000025
 542  A*26-B*51-DRB1*03:01-DQB1*02  Mexico Baja California Rural 2.000050
 543  A*29-B*44-DRB1*07-DQB1*02  Mexico Baja California, La Paz 2.000075
 544  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Tunisia 2.0000100
 545  A*68-B*15:10-DRB1*03:01-DQB1*02  Mexico Baja California, Tijuana 2.000025
 546  B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Ireland South 2.0000250
 547  DRB1*03:01-DQA1*05:01/05:03/05:05-DQB1*02:01/02:02  Russia Siberia Khabarovsk Evenki 2.000025
 548  DRB1*03:01-DQB1*02:01-DMB*01:01  Ecuadorean Amerindians 2.000075
 549  DRB1*03:01-DQB1*02:01-DPB1*04:01  South Korea pop 1 2.0000324
 550  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 1 2.0000324
 551  DRB1*07:01-DQB1*02:02  Sweden Southern Sami 2.0000130
 552  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 1.99493,456,066
 553  A*29-B*44-DRB1*07-DQB1*02  Mexico Durango Rural 1.9878326
 554  A*23-B*50-C*06:02-DRB1*03-DQB1*02  Russia North Ossetian 1.9700127
 555  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 1.96533,456,066
 556  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Filipino 1.950950,614
 557  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Guanajuato, Leon 1.923178
 558  A*02:01-B*51:01-C*16:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 1.920052
 559  A*29-B*44-DRB1*07-DQB1*02  Mexico Zacatecas, Fresnillo 1.9048103
 560  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01/02:02  South Korea pop 3 1.9000485
 561  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 1.9000159
 562  DRB1*03:01-DQA1*03:01-DQB1*02:01  India Northeast Mathur 1.9000155
 563  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*17:01  China Canton Han 1.9000264
 564  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 1.89865,849
 565  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 1.880143,540
 566  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 1.87691,463
 567  A*29-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 1.8750396
 568  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Veracruz, Xalapa 1.8717187
 569  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 1.8600215
 570  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 1.8581296
 571  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.84081,075
 572  A*29-B*44-DRB1*07-DQB1*02  Mexico Guanajuato Rural 1.8405162
 573  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 1.8230496
 574  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 1.8200261,235
 575  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.81111,075
 576  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 1.8041194
 577  A*01-B*50-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 578  A*02-B*15:03-DRB1*03:02-DQB1*02:01  Tunisia pop 3 1.8000104
 579  A*02-B*44-DRB1*07:01-DQB1*02  Spain North Cantabria 1.800083
 580  A*02-B*50-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 581  A*02-B*50-DRB1*07:01-DQB1*02:02  Tunisia Ghannouch 1.800082
 582  A*02-B*51-DRB1*03:01-DQB1*02:01  Tunisia pop 3 1.8000104
 583  A*24-B*44-DRB1*07:01-DQA1*02-DQB1*02  Russia Tuva 1.8000190
 584  A*24-B*44-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 585  DRB1*03:01:01-DQB1*02:01-DPB1*04:01  China Lijiang Naxi 1.8000100
 586  DRB1*03:01-DQA1*03:01-DQB1*02:01  India Northeast Kayastha 1.8000190
 587  DRB1*03:01-DRB3*02-DQB1*02:01  Macedonia pop 2 1.800080
 588  DRB1*07:01-DQA1*03:01-DQB1*02:01  Gabon Haut-Ogooue Dienga 1.8000167
 589  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Francisco Caucasian 1.8000220
 590  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Francisco Caucasian 1.8000220
 591  A*30-B*50-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.7900112
 592  A*02:01-B*51:01-DRB1*15:01-DQB1*02:01  Iran Yazd 1.785756
 593  A*11:01-B*35:01-DRB1*03:01-DQB1*02:01  Iran Yazd 1.785756
 594  A*30:01-B*13:01-DRB1*07:01-DQB1*02:01  Iran Yazd 1.785756
 595  A*30-B*13-DRB1*07-DQB1*02  Mexico Veracruz, Cordoba 1.785756
 596  A*32-B*14:02-DRB1*03:01-DQB1*02  Mexico Veracruz, Cordoba 1.785756
 597  A*33-B*14:01-DRB1*07-DQB1*02  Mexico Veracruz, Coatzacoalcos 1.785755
 598  A*33-B*58-DRB1*07-DQB1*02  Mexico Veracruz, Cordoba 1.785756
 599  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 1.78401,999
 600  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 1.775923,595

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 12,273) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 123  


   

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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