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 5,331) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 54  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*33:03:01-B*37:01:01-C*06:02:01-DRB1*15:02:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 602  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 603  A*68:01:02-B*13:01:01-C*04:03:01-DRB1*15:02:02-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 604  A*68:01:02-B*40:06:01-C*01:02:01-DRB1*15:02:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 605  A*01:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.26791,510
 606  A*34:01-B*15:02-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.2639951
 607  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.2639261,235
 608  A*11:01-B*15:25-C*07:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.2629951
 609  A*24:02-B*15:13-C*08:01-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.2629951
 610  A*24:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 611  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.26225,849
 612  A*02:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Bosnia and Herzegovina minority 0.26201,028
 613  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.26054,204
 614  A*02:01:01:01-B*27:05:02-C*02:02:02-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 615  A*03:01:01:01-B*44:03:02-C*07:06-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 616  A*03:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*15:02-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 617  A*24:02:01:01-B*40:06:01-C*08:01:01-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 618  A*24:02:01:01-B*48:01:01-C*06:02:01:01-DRB1*15:02-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 619  A*26:01:01-B*52:01:01:02-C*12-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 620  A*33:03:01-B*35:03:01-C*03:02:02-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 621  A*01:01-B*08:01-C*07:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  USA San Diego 0.2600496
 622  A*01:01-B*38:02-C*07:02-DRB1*15:02-DQA1*01:02-DQB1*05:02-DPB1*04:01  USA San Diego 0.2600496
 623  A*02:05-B*44:02-C*07:01-DRB1*15:02-DQA1*01:03-DQB1*03:02-DPB1*04:01  USA San Diego 0.2600496
 624  A*24:02-B*15:01-C*03:03-DRB1*15:02-DQA1*03:01-DQB1*03:03-DPB1*05:01  USA San Diego 0.2600496
 625  A*24:02-B*35:05-C*03:04-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*05:01  USA San Diego 0.2600496
 626  A*34:01-B*15:35-C*07:02-DRB1*15:02-DQA1*03:01-DQB1*04:02-DPB1*01:01  USA San Diego 0.2600496
 627  A*34:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.259211,499
 628  A*02:02-B*52:01-DRB1*15:02  Israel Tunisia Jews 0.25909,070
 629  A*02:01-B*40:01-C*03:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 630  A*02:01-B*52:01-C*03:03-DRB1*15:02-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 631  A*02:02-B*35:03-C*12:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 632  A*02:02-B*55:02-C*01:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 633  A*02:03-B*27:04-C*03:03-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 634  A*02:03-B*38:02-C*03:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 635  A*02:03-B*40:01-C*07:02-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 636  A*02:06-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 637  A*11:01-B*15:11-C*03:02-DRB1*15:02-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 638  A*11:02-B*55:02-C*01:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 639  A*23:01-B*55:32-C*03:03-DRB1*15:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 640  A*30:01-B*13:02-C*06:02-DRB1*15:02-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 641  A*33:12-B*40:65-C*01:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 642  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.254911,446
 643  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.2543261,235
 644  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.25135,849
 645  A*11:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2485951
 646  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.2485833
 647  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.24804,204
 648  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.24791,463
 649  A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.24652,403
 650  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.24655,849
 651  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.24632,492
 652  A*02-B*52-DRB1*15:02  Chile Santiago 0.2454920
 653  A*24:02-B*18:02-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2454951
 654  A*24:02-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2454951
 655  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Croatia minority 0.24402,057
 656  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Romania minority 0.24301,234
 657  A*11:01-B*35:01-C*04:01-DRB1*15:02-DQB1*06:01  India West UCBB 0.24085,829
 658  A*32:01-B*52:01-DRB1*15:02  Israel Ashkenazi Jews pop 3 0.23804,625
 659  A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.23791,510
 660  A*24:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.237811,499
 661  A*24:02-B*52:01-DRB1*15:02  Israel Arab pop 2 0.236012,301
 662  A*33:03-B*35:01-C*04:01-DRB1*15:02-DQB1*06:01  India East UCBB 0.23602,403
 663  A*11:01-B*35:01-C*04:01-DRB1*15:02-DQB1*06:01  India Central UCBB 0.23464,204
 664  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - China minority 0.23401,282
 665  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 666  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 667  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 668  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.22881,734
 669  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Portugal minority 0.22801,176
 670  A*01:01-B*52:01-DRB1*15:02  Israel Georgia Jews 0.22704,471
 671  A*29:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 672  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.22201,772
 673  A*24:02-B*52:01-DRB1*15:02  Israel Morocco Jews 0.222036,718
 674  DRB1*15:02:01-DQB1*06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.2210496
 675  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.21822,403
 676  A*32:01-B*41:02-DRB1*15:02  Israel Arab pop 2 0.218012,301
 677  A*11:01-B*40:01-C*03:04-DRB1*15:02-DQB1*06:01  India East UCBB 0.21652,403
 678  A*69:01-B*38:01-C*12:03-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Nicaragua Managua 0.2165339
 679  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP American Indian South or Central America 0.21385,926
 680  A*01:01-B*37:01-C*06:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.21244,204
 681  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.21201,159
 682  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.21204,856
 683  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Russia Karelia 0.21171,075
 684  A*01-B*52-DRB1*15:02  Chile Santiago 0.2109920
 685  A*02:02-B*18:02-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2103951
 686  A*24:02-B*18:01-C*07:04-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2103951
 687  A*34:01-B*13:01-C*03:04-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.2103951
 688  A*34:01-B*15:21-C*04:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.2103951
 689  A*24:02-B*18:01-C*07:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 690  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.2101714
 691  DRB1*15:02-DQB1*03:01  Italy pop 5 0.2100975
 692  A*31:08-B*52:01-DRB1*15:02  Israel Druze 0.20905,914
 693  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.208311,446
 694  A*32:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - China minority 0.20801,282
 695  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.20584,204
 696  A*02:03-B*40:01-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.20567,595
 697  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 698  A*24:02-B*15:06-C*04:03-DRB1*15:02-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.205011,499
 699  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.20484,204
 700  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.20352,403

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 5,331) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 54  


   

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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