Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 10,616) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 107  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*02:05-B*44:03-C*12:03-E*01:01:01-F*01:01:02-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*05:03  Portugal Azores Terceira Island 0.4386130
 602  A*03:01-B*35:27-C*12:02-E*01:01:01-F*01:01:01-G*01:06-DRB1*01:01-DQA1*01:02-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 603  A*03:02-B*51:01-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*15:01-DQA1*01:02-DQB1*06:02  Portugal Azores Terceira Island 0.4386130
 604  A*11:01-B*18:01-C*12:03-E*01:01:01-F*01:01:01-G*01:04-DRB1*13:05-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 605  A*11:01-B*35:27-C*12:03-E*01:01:01-F*01:01:02-G*01:01-DRB1*04:07-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 606  A*23:01-B*39:01-C*12:03-E*01:03:02-F*01:03:01-G*01:01-DRB1*16:01:01-DQA1*01:02-DQB1*05:02:01  Portugal Azores Terceira Island 0.4386130
 607  A*24:02-B*18:01-C*12:03-E*01:01:01-F*01:01:01-G*01:04-DRB1*15:01-DQA1*05:05-DQB1*06:02  Portugal Azores Terceira Island 0.4386130
 608  A*24:18-B*38:01-C*12:03-E*01:03:02-F*01:04-G*01:04-DRB1*13:01-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 609  A*25:01-B*44:03-C*12:03-E*01:03:02-F*01:01:01-G*01:01-DRB1*04:02-DQA1*03:01-DQB1*05:02:01  Portugal Azores Terceira Island 0.4386130
 610  A*25:01-B*51:32-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 611  A*26:01-B*14:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 612  A*26:01-B*38:06-C*12:03-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 613  A*26:01-B*39:01-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*12:01-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 614  A*30:01-B*18:01-C*12:03-E*01:03:02-F*01:01:01-G*01:05N-DRB1*11:04-DQA1*05:05-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 615  A*68:01-B*40:01-C*12:03-E*01:01:01-F*01:01:02-G*01:01-DRB1*11:03-DQA1*05:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 616  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.433411,446
 617  A*03:01-B*44:03-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Nicaragua Managua 0.4329339
 618  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Nicaragua Managua 0.4329339
 619  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*04:01  Nicaragua Managua 0.4329339
 620  A*11:02-B*27:04-C*12:02-DRB1*12:02  Hong Kong Chinese BMDR 0.43257,595
 621  A*26:01-B*38:01-C*12:03-DRB1*13:01  Poland DKMS 0.432520,653
 622  A*01:01:01-B*52:01:01-C*12:02:02  England Blood Donors of Mixed Ethnicity 0.4309519
 623  B*38:01-C*12:03-DRB1*04:02-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 624  B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4300234
 625  B*39:10-C*12:03-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4300234
 626  A*66:01-B*39:10-C*12:03-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4274234
 627  B*39:01-C*12:03  USA Hispanic pop 2 0.42601,999
 628  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.42472,492
 629  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.424423,595
 630  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 631  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.4210356
 632  A*01:01:01-B*08:01:01-C*12:03:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*06:02:01-DPA1*01:04:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 633  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
 634  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
 635  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*104:01  Russian Federation Vologda Region 0.4202119
 636  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*16:01:01-DQA1*01:04:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 637  A*02:01:01-B*27:02:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 638  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 639  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 640  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQA1*01:05:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 641  A*02:01:01-B*52:01:01-C*12:03:01-DRB1*11:03:01-DQA1*05:05:01-DQB1*06:01-DPA1*02:01:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 642  A*03:01:01-B*18:01:01-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
 643  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 644  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 645  A*11:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 646  A*23:01:01-B*13:02:01-C*12:03:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 647  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQA1*03:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 648  A*25:01:01-B*44:02:01-C*12:03:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 649  A*29:02:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Russian Federation Vologda Region 0.4202119
 650  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:03:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 651  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 652  A*32:01:01-B*39:01:24-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 653  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 654  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.4202714
 655  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.42003,078
 656  B*18:01-C*12:03  Mexico Mexico City Mestizo pop 2 0.4200234
 657  B*39:10-C*12:03  Mexico Mexico City Mestizo pop 2 0.4200234
 658  B*52:01-C*12:02  Mexico Mexico City Mestizo pop 2 0.4200234
 659  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP Caribean Indian 0.418114,339
 660  A*01:01:01:01-B*27:05:02-C*12:03:01:01-DRB1*15:01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 661  A*02:01:01:01-B*35:01:01:02-C*12:03:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 662  A*02:01:01-B*27:05:02-C*12:03:01:01-DRB1*11:04:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 663  A*02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 0.4167120
 664  A*03:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*07:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 665  A*23:01:01-B*18:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 666  A*24:02:01:01-B*38:01:01-C*12:03:01:01-DRB1*03:01:01-DQB1*04:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 667  A*24:02:01-B*13:02:01-C*12:03:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 668  A*24:02:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 669  A*24:02:01-B*38:01:01-C*12:03:01:01-DRB1*07:01-DQB1*02  Russia Bashkortostan, Bashkirs 0.4167120
 670  A*25:01:01-B*07:02:01-C*12:03:01:01-DRB1*13:02:01-DQB1*03:138  Russia Bashkortostan, Bashkirs 0.4167120
 671  A*25:01:01-B*18:01:01-C*12:02:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 672  A*25:01:01-B*51:01:01-C*12:03:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 673  A*26:01:01-B*13:02:01-C*12:03:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 674  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 675  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 676  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 677  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.4167120
 678  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 679  A*68:01:02:01-B*38:01:01-C*12:03:01:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 680  B*40:01-C*12:03  USA Asian pop 2 0.41301,772
 681  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 0.41065,926
 682  A*24:03-B*51:06-C*12:04-DRB1*12:02-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.408411,499
 683  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*14:01  Costa Rica Amerindians (G) 0.4080125
 684  A*11:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.40622,403
 685  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.40472,492
 686  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP Caribean Indian 0.404314,339
 687  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.403711,446
 688  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*07:01  Costa Rica Amerindians (G) 0.4032125
 689  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*14:01  Costa Rica Amerindians (G) 0.4032125
 690  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*10:01:01  Costa Rica Amerindians (G) 0.4032125
 691  A*01:01-B*27:05-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.4030124
 692  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  Kosovo 0.4030124
 693  A*02:01-B*18:01-C*12:03-DRB1*16:01-DQA1*01:01-DQB1*05:03  Kosovo 0.4030124
 694  A*02:01-B*38:01-C*12:03-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 0.4030124
 695  A*03:01-B*18:01-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*05:02  Kosovo 0.4030124
 696  A*03:01-B*27:02-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.4030124
 697  A*03:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 698  A*03:01-B*38:01-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 699  A*03:01-B*39:31-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 700  A*03:01-B*57:01-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.4030124

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 10,616) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 107  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional