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 2,002) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*24:84N-B*40:01-C*03:04-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 602  A*26:01-B*40:06-C*07:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 603  A*32:01-B*40:01-C*04:03-DRB1*15:02-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 604  A*33:01-B*40:01-C*12:03-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 605  A*33:01-B*40:01-C*12:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 606  A*33:01-B*40:06-C*03:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 607  A*33:03-B*40:02-C*07:04-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 608  A*34:01-B*40:06-C*06:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 609  A*68:01-B*40:04-C*15:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 610  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.05232,492
 611  A*24:02-B*40:01-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.05185,829
 612  A*02:03:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05155,266
 613  A*11:01-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.05135,849
 614  A*02:01-B*40:06-DRB1*15:01  Israel Morocco Jews 0.051136,718
 615  A*24:02-B*40:01-C*03:04-DRB1*15:01  Germany DKMS - Austria minority 0.05101,698
 616  A*03:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.05072,492
 617  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05045,266
 618  A*02-B*40:01-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 619  A*03-B*40:01-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 620  A*68-B*40:02-DRB1*15-DQB1*06  Mexico Puebla, Puebla city 0.05011,994
 621  A*01:01-B*40:06-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.05002,403
 622  A*11:01-B*40:01-C*12:03-DRB1*15:02-DQB1*06:01  India North UCBB 0.04995,849
 623  A*68:01-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.04994,204
 624  A*01:01-B*40:06-C*15:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 625  A*02:01-B*40:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.04907,595
 626  A*03:01-B*40:01-C*03:04-DRB1*15:01  Germany DKMS - Netherlands minority 0.04901,374
 627  A*11:01-B*40:01-C*03:04-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 628  A*68-B*40-DRB1*15  Brazil South East Cord Blood 0.049011,409
 629  A*24:02-B*40:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.04855,829
 630  A*01:01-B*40:06-C*15:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.04801,043
 631  A*30:02-B*40:02-C*15:02-DRB1*15:19  Germany DKMS - United Kingdom minority 0.04801,043
 632  A*68:01-B*40:01-C*03:04-DRB1*15:01  Germany DKMS - United Kingdom minority 0.04801,043
 633  A*02:11-B*40:02-C*03:03-DRB1*15:02-DQB1*05:03  India Central UCBB 0.04764,204
 634  A*68:01-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.04764,204
 635  A*02:131-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.047411,446
 636  A*33:03:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04725,266
 637  A*02:01-B*40:02-C*02:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 638  A*11:01-B*40:01-C*15:02-DRB1*15:01  Hong Kong Chinese BMDR 0.04707,595
 639  A*24:02-B*40:06-C*08:01-DRB1*15:01  Japan pop 16 0.047018,604
 640  A*31:01-B*40:02-C*03:04-DRB1*15:01  Japan pop 16 0.047018,604
 641  A*32:01-B*40:02-C*02:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 642  A*33:03-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  USA Hispanic pop 2 0.04701,999
 643  A*11:01-B*40:01-C*03:04-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.04702,492
 644  A*33:03-B*40:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.04637,595
 645  A*02:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.04612,492
 646  A*24:02-B*40:06-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.04605,829
 647  A*24:02-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.04565,849
 648  A*02:01-B*40:01-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.04537,595
 649  A*02:01-B*40:01-C*03:04-DRB1*15:02  Germany DKMS - Greece minority 0.04501,894
 650  A*03:01-B*40:01-C*03:04-DRB1*15:01  Germany DKMS - Spain minority 0.04501,107
 651  A*32:01-B*40:06-C*15:02-DRB1*15:01  Germany DKMS - Spain minority 0.04501,107
 652  A*66:01-B*40:01-C*03:04-DRB1*15:01  Germany DKMS - Spain minority 0.04501,107
 653  A*11:01-B*40:01-C*03:04-DRB1*15:02-DQB1*06:01  India South UCBB 0.044711,446
 654  A*26:01-B*40:06-C*12:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.04442,492
 655  A*01:01-B*40:01-C*03:04-DRB1*15:01  Germany DKMS - Netherlands minority 0.04401,374
 656  A*02:01-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.04402,411
 657  A*02:01-B*40:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 658  A*02:01-B*40:02-C*15:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 659  A*02:01-B*40:02-C*15:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 660  A*02:03-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 661  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 662  A*11:01-B*40:01-C*03:04-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 663  A*11:01-B*40:01-C*04:01-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 664  A*11:01-B*40:01-C*07:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 665  A*11:01-B*40:06-C*07:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 666  A*23:01-B*40:01-C*02:02-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 667  A*24:02-B*40:01-C*03:04-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 668  A*24:02-B*40:02-C*03:04-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 669  A*24:02-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 670  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.04401,772
 671  A*24:07-B*40:02-C*14:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.04401,772
 672  A*26:02-B*40:06-C*08:01-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 673  A*31:01-B*40:01-C*03:04-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 674  A*31:01-B*40:02-C*04:01-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 675  A*31:01-B*40:06-C*08:01-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 676  A*33:03-B*40:01-C*03:03-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 677  A*33:03-B*40:01-C*03:04-DRB1*15:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 678  A*33:03-B*40:01-C*12:03-DRB1*15:02-DQB1*05:03  USA Asian pop 2 0.04401,772
 679  A*33:03-B*40:02-C*07:01-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.04401,772
 680  A*24:02-B*40:01-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.043411,446
 681  A*01-B*40-C*15-DRB1*15  Macedonia MBMDR - Macedonian 0.04301,283
 682  A*02:01-B*40:01-C*03:04-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 683  A*02:11-B*40:06-C*15:02-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 684  A*11:01-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 685  A*11:01-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.04304,204
 686  A*11:01-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.04305,829
 687  A*33:03-B*40:06-C*15:02-DRB1*15:02  Germany DKMS - Portugal minority 0.04301,176
 688  A*24:07-B*40:02-C*14:02-DRB1*15:02-DQB1*05:03  India West UCBB 0.04295,829
 689  A*31:08-B*40:01-DRB1*15:01  Israel USSR Jews 0.042945,681
 690  A*11:01-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02  India West UCBB 0.04285,829
 691  A*02:06-B*40:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.04273,892
 692  A*11:01-B*40:06-DRB1*15:01  Hong Kong Chinese cord blood registry 0.04263,892
 693  A*02:11-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.04255,849
 694  A*02:03-B*40:01-C*03:04-DRB1*15:01  Hong Kong Chinese BMDR 0.04217,595
 695  A*02:01-B*40:02-C*03:03-DRB1*15:01  Japan pop 16 0.042018,604
 696  A*24:02-B*40:02-C*03:03-DRB1*15:01  Japan pop 16 0.042018,604
 697  A*26:01-B*40:01-C*07:02-DRB1*15:01  Japan pop 16 0.042018,604
 698  A*24-B*40:01-DRB1*15-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 699  A*32-B*40-DRB1*15  Brazil Para State 0.04195,000
 700  A*33:03-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.04175,849

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 2,002) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  


   

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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