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 601 to 700 (from 14,035) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 141  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005423,595
 602  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.006723,595
 603  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.002123,595
 604  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*07:01  Costa Rica Amerindians (G) 0.4032125
 605  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 606  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002223,595
 607  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.001923,595
 608  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006823,595
 609  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.003523,595
 610  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 611  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002623,595
 612  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.003923,595
 613  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 614  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 615  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.013523,595
 616  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002223,595
 617  A*01:01:01-B*18:01:01-C*12:04:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001123,595
 618  A*01:01:01-B*18:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 619  A*01:01:01-B*18:01:01-C*16:02:01-DRB1*03:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 620  A*01:01:01-B*18:01:01-DRB1*11:01:01  Portugal Center 2.000050
 621  A*01:01:01-B*18:03-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002523,595
 622  A*01:01:01-B*27:02:01-C*02:02:02  England Blood Donors of Mixed Ethnicity 0.0963519
 623  A*01:01:01-B*27:02:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002023,595
 624  A*01:01:01-B*27:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 625  A*01:01:01-B*27:02:01-C*02:02:02-DRB1*04:04:01-DQB1*02:02:01  Poland BMR 0.002123,595
 626  A*01:01:01-B*27:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005823,595
 627  A*01:01:01-B*27:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.011923,595
 628  A*01:01:01-B*27:02:01-C*02:02:02-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 629  A*01:01:01-B*27:02:01-C*02:02:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 630  A*01:01:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.022923,595
 631  A*01:01:01-B*27:02:01-C*05:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.001423,595
 632  A*01:01:01-B*27:02:01-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 633  A*01:01:01-B*27:02:01-C*07:01:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.001723,595
 634  A*01:01:01-B*27:02:01-C*07:01:01-DRB1*16:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 635  A*01:01:01-B*27:02:01-C*07:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.000398523,595
 636  A*01:01:01-B*27:03-C*02:02:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006423,595
 637  A*01:01:01-B*27:03-C*02:02:02-DRB1*11:04:01-DQB1*05:03:01  Poland BMR 0.002123,595
 638  A*01:01:01-B*27:03-C*02:02:02-DRB1*11:04:01-DQB1*06:03:01  Poland BMR 0.002123,595
 639  A*01:01:01-B*27:04:01-C*12:02:02-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01885,266
 640  A*01:01:01-B*27:04:01-C*12:02:02-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 641  A*01:01:01-B*27:05:02-C*01:02:01  England Blood Donors of Mixed Ethnicity 0.1135519
 642  A*01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.015323,595
 643  A*01:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 644  A*01:01:01-B*27:05:02-C*01:02:01-DRB1*08:04:01-DQB1*04:02:01  Poland BMR 0.002123,595
 645  A*01:01:01-B*27:05:02-C*01:02:01-DRB1*11:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 646  A*01:01:01-B*27:05:02-C*01:02:01-DRB1*14:02:01-DQB1*03:01:01  Poland BMR 0.002123,595
 647  A*01:01:01-B*27:05:02-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003223,595
 648  A*01:01:01-B*27:05:02-C*02:02:02  England Blood Donors of Mixed Ethnicity 0.2910519
 649  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.004923,595
 650  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.011423,595
 651  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.003423,595
 652  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004823,595
 653  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.3891521
 654  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002523,595
 655  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 656  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.008323,595
 657  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 658  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 659  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006623,595
 660  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.012523,595
 661  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 662  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009323,595
 663  A*01:01:01-B*27:05:02-C*03:03:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 664  A*01:01:01-B*27:05:02-C*03:03:01-DRB1*04:01:01-DQB1*05:03:01  Poland BMR 0.002123,595
 665  A*01:01:01-B*27:05:02-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 666  A*01:01:01-B*27:05:02-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 667  A*01:01:01-B*27:05:02-C*03:04:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.002023,595
 668  A*01:01:01-B*27:05:02-C*03:04:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 669  A*01:01:01-B*27:05:02-C*04:01:08-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 670  A*01:01:01-B*27:05:02-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 671  A*01:01:01-B*27:14-C*12:03:01-DRB1*15:02:01-DQA1*01:03:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 672  A*01:01:01-B*35:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001723,595
 673  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002023,595
 674  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*08:09:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 675  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00905,266
 676  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005623,595
 677  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 678  A*01:01:01-B*35:01:01-C*03:04:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 679  A*01:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 0.3313519
 680  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.000875123,595
 681  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.006723,595
 682  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.067523,595
 683  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002723,595
 684  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1041221
 685  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0718221
 686  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0503221
 687  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01  Costa Rica African -Caribbean (G) 1.4706102
 688  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 689  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.001823,595
 690  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002923,595
 691  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002223,595
 692  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 693  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*05:03:01  Poland BMR 0.002123,595
 694  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.006323,595
 695  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 696  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
 697  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.007323,595
 698  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.012023,595
 699  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.003423,595
 700  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595

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 601 to 700 (from 14,035) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 141  


   

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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