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 8,334) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 84  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 602  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*13:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 603  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 604  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*15:01:01-DQB1*03:03:02  Poland BMR 0.004223,595
 605  A*26:01:01-B*40:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 606  A*26:01:01-B*40:02:01-C*12:02:02-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 607  A*26:01:01-B*40:02:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 608  A*26:01:01-B*40:02:01-C*12:03:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*02:02:02-DPB1*06:01  Russia Belgorod region 0.3268153
 609  A*26:01:01-B*40:02:01-C*15:02:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 610  A*26:01:01-B*40:02:01-C*15:02:01-DRB1*09:01:02-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01855,266
 611  A*26:01:01-B*40:02:01-C*15:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 612  A*26:01:01-B*40:02:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 613  A*26:01:01-B*40:06:01-C*01:17-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 614  A*26:01:01-B*40:06:01-C*03:04:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 615  A*26:01:01-B*40:06:01-C*03:04:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 616  A*26:01:01-B*40:06:01-C*03:04:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 617  A*26:01:01-B*40:06:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.07051,734
 618  A*26:01:01-B*40:06:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 619  A*26:01:01-B*40:06:01-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.01601,734
 620  A*26:01:01-B*40:06:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 621  A*26:01:01-B*40:06:01-C*04:82-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 622  A*26:01:01-B*40:06:01-C*08:01:01-DRB1*04:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 623  A*26:01:01-B*40:06:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 624  A*26:01:01-B*40:06:01-C*08:01:01-DRB1*12:10-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 625  A*26:01:01-B*40:06:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 626  A*26:01:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 627  A*26:01:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 628  A*26:01:01-B*40:06:04-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 629  A*26:01:01-B*40:06:04-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 630  A*26:01:01-B*40:31-C*03:04:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 631  A*26:01:01-B*41:01:01-C*07:01:01-DRB1*08:04:01-DQB1*05:02:01  Poland BMR 0.002123,595
 632  A*26:01:01-B*41:01:01-C*17:01:01  South African Mixed ancestry 1.000050
 633  A*26:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 634  A*26:01:01-B*41:01:01-C*17:01:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.002123,595
 635  A*26:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*88:01  Russian Federation Vologda Region 0.4202119
 636  A*26:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 637  A*26:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 638  A*26:01:01-B*41:02:01-C*17:03-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.003123,595
 639  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 640  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 641  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.017223,595
 642  A*26:01:01-B*41:02:01-C*17:03-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.000563223,595
 643  A*26:01:01-B*44:02:01:01-C*03:03:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 644  A*26:01:01-B*44:02:01:01-C*05:01-DRB1*04:03:01-DQB1*03:05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 645  A*26:01:01-B*44:02:01:01-C*07:01:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 646  A*26:01:01-B*44:02:01:01-C*12:02:02-DRB1*11:03-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 647  A*26:01:01-B*44:02:01-C*03:03:01-DRB1*04:07:01-DQB1*03:01:01  Poland BMR 0.001523,595
 648  A*26:01:01-B*44:02:01-C*03:03:01-DRB1*11:03:01-DQB1*02:01:01  Poland BMR 0.002123,595
 649  A*26:01:01-B*44:02:01-C*03:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.094323,595
 650  A*26:01:01-B*44:02:01-C*03:03:01-DRB1*11:03:01-DQB1*05:01:01  Poland BMR 0.002123,595
 651  A*26:01:01-B*44:02:01-C*03:03:01-DRB1*11:03:01-DQB1*05:03:01  Poland BMR 0.004223,595
 652  A*26:01:01-B*44:02:01-C*03:03:01-DRB1*11:03:01-DQB1*06:02:01  Poland BMR 0.002123,595
 653  A*26:01:01-B*44:02:01-C*03:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002823,595
 654  A*26:01:01-B*44:02:01-C*03:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 655  A*26:01:01-B*44:02:01-C*03:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 656  A*26:01:01-B*44:02:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 657  A*26:01:01-B*44:02:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.1022519
 658  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.006323,595
 659  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*01:03-DQB1*02:01:01  Poland BMR 0.002123,595
 660  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002923,595
 661  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 662  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.009023,595
 663  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005623,595
 664  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 1.3575221
 665  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:05:01  Poland BMR 0.002123,595
 666  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.003023,595
 667  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*04:06:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 668  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.011123,595
 669  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 670  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.001523,595
 671  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 672  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003923,595
 673  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 674  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002523,595
 675  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*11:08:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 676  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.030223,595
 677  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 678  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*14:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 679  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009923,595
 680  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.007023,595
 681  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*16:01:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 682  A*26:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001323,595
 683  A*26:01:01-B*44:02:01-C*07:04:01-DRB1*13:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 684  A*26:01:01-B*44:02:01-C*16:04:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 685  A*26:01:01-B*44:02:01-C*16:04:01-DRB1*13:15-DQB1*03:01:01  Poland BMR 0.002123,595
 686  A*26:01:01-B*44:03:01-C*01:02:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 687  A*26:01:01-B*44:03:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.02881,734
 688  A*26:01:01-B*44:03:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 689  A*26:01:01-B*44:03:01-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 690  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002223,595
 691  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03891,510
 692  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014523,595
 693  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 694  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:10N-DQB1*02:02:01  Poland BMR 0.002123,595
 695  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 696  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002823,595
 697  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.001323,595
 698  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.001523,595
 699  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 700  A*26:01:01-B*44:03:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  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 8,334) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 84  


   

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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