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 801 to 900 (from 5,490) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 55  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*01:01:01-B*07:02:01-C*06:02:01-DRB1*12:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 802  A*01:01:01-B*07:02:01-C*12:02:02-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 803  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 804  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 805  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 806  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 807  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 808  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 809  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.26881,075
 810  A*03:01-B*07:02-C*07:02-DRB1*04:01  Germany DKMS - Austria minority 0.26701,698
 811  A*31:01:02-B*07:02:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.2662519
 812  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.26601,075
 813  A*02:01-B*07:02-C*07:02-DRB1*13:01  Germany DKMS - Portugal minority 0.26601,176
 814  A*03:01-B*07:02-C*07:02-DRB1*13:01  Germany DKMS - France minority 0.26601,406
 815  A*03:02-B*07:02-DRB1*15:01  Israel Poland Jews 0.265013,871
 816  A*02:01-B*07:02-C*07:02-DRB1*03:01  Germany DKMS - Bosnia and Herzegovina minority 0.26301,028
 817  A*03:01-B*07:02-C*07:02-DRB1*07:01  Germany DKMS - Spain minority 0.26201,107
 818  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.26202,411
 819  A*02:01:01:01-B*07:02:01-C*02:02:02:01-DRB1*15:01:01-DQB1*05:03:01  Russia Bashkortostan, Tatars 0.2604192
 820  A*02:01:01:01-B*07:02:01-C*03:03:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 821  A*02:01:01:01-B*07:02:01-C*03:04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 822  A*03:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 823  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*03:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 824  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 825  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 826  A*24:02:01:01-B*07:02:01-C*07:02:01-DRB1*12:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 827  A*24:02:01:01-B*07:02:01-C*12:03:01:01-DRB1*01:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 828  A*30-B*07:02:01-C*06:02:01:01-DRB1*03:01:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 829  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*09:01  USA San Diego 0.2600496
 830  A*02:01-B*07:02-C*07:02-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*04:01  USA San Diego 0.2600496
 831  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:01-DQB1*05:03-DPB1*04:01  USA San Diego 0.2600496
 832  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.2600496
 833  A*03:01-B*07:02-C*07:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 834  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 835  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 836  A*25:01-B*07:02-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*10:01  USA San Diego 0.2600496
 837  A*26:01-B*07:02-C*07:02-DRB1*01:03-DQA1*02:01-DQB1*02:02-DPB1*06:01  USA San Diego 0.2600496
 838  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.2600496
 839  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 840  A*31:01-B*07:02-C*07:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 841  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.25901,159
 842  A*03:01-B*07:02  USA Asian pop 2 0.25701,772
 843  A*32:01-B*07:02  USA African American pop 4 0.25702,411
 844  A*32:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.25701,698
 845  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.254623,595
 846  A*11:01:01-B*07:02:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.2534519
 847  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.2520356
 848  A*03:01-B*07:02-C*07:02-DRB1*11:01  Germany DKMS - Spain minority 0.25101,107
 849  A*02:01-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.250018,604
 850  A*02:06-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.250018,604
 851  A*11:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.24901,374
 852  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.248923,595
 853  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.24692,492
 854  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.24663,456,066
 855  A*11:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.24601,043
 856  A*02:02-B*07:02-DRB1*03:01  Israel Ethiopia Jews 0.24505,928
 857  A*02:01-B*07:02-C*07:02-DRB1*01:03  Germany DKMS - Spain minority 0.24401,107
 858  A*02:01-B*07:02-DRB1*04:05  Israel Poland Jews 0.244013,871
 859  A*03:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.24315,926
 860  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Caribean Black 0.241733,328
 861  A*02:01-B*07:02-C*07:02-DRB1*04:01  Germany DKMS - Bosnia and Herzegovina minority 0.24101,028
 862  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.24001,999
 863  A*68:02-B*07:02-DRB1*13:02  Israel Ethiopia Jews 0.24005,928
 864  B*07:02-DRB1*13:02  Italy pop 5 0.2400975
 865  A*02:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 866  A*03:01-B*07:02-C*07:02-DRB1*07:01  Germany DKMS - Austria minority 0.23901,698
 867  A*29:02-B*07:02  USA Hispanic pop 2 0.23801,999
 868  A*03:01-B*07:02-C*07:02-DRB1*04:04  Germany DKMS - United Kingdom minority 0.23701,043
 869  A*03:02-B*07:02-DRB1*11:04  Israel USA Jews 0.23706,058
 870  A*11:01-B*07:02-DRB1*15:01  Israel USA Jews 0.23706,058
 871  A*29:01-B*07:02-DRB1*14:01  Israel USSR Jews 0.237045,681
 872  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.23642,403
 873  A*01:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Romania minority 0.23601,234
 874  A*02:05-B*07:02-DRB1*03:01  Israel Ethiopia Jews 0.23605,928
 875  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - United Kingdom minority 0.23601,043
 876  A*24:02-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - China minority 0.23401,282
 877  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.23404,204
 878  A*23:01-B*07:02  USA Hispanic pop 2 0.23301,999
 879  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.23181,510
 880  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.231111,446
 881  A*03:01-B*07:02-C*07:02-DRB1*08:01  Germany DKMS - Netherlands minority 0.23101,374
 882  A*03:01-B*07:02-C*07:02-DRB1*13:01  Germany DKMS - Austria minority 0.23101,698
 883  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 884  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 885  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
 886  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.23003,078
 887  A*02:01-B*07:02-C*07:02-DRB1*08:01  Italy pop 5 0.2300975
 888  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:05:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 889  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:05:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 890  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 891  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 892  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 893  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
 894  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 895  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 896  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 897  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 898  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 899  A*24:02-B*07:02-C*07:02-DRB1*01:01  Poland DKMS 0.229520,653
 900  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.2294218

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 801 to 900 (from 5,490) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 55  


   

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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