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 1 to 30 (from 30) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*44:03:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 2 2.2000207
 3  DRB1*07:01-DQB1*02:02-DPB1*13:01  South Korea pop 1 2.1000324
 4  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 1 2.0000324
 5  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 11 1.3000149
 6  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Parda 1.1765170
 7  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.6303714
 8  DRB1*09:01-DQB1*02:02-DPB1*13:01  Gambia pop 3 0.6129939
 9  A*69:01:01-B*44:02:01-C*15:02:01-DRB1*11:04:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 10  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 11  DRB1*07:01:01:01-DQB1*02:02-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.4120496
 12  DQB1*02:02-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.3930496
 13  A*68:02:01-B*15:03:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*13:01:01  South African Black 0.3520142
 14  A*32:01:01-B*49:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 15  A*24:02-B*51:02-C*03:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Africa Worcester 0.3000159
 16  A*32:01-B*15:03-C*02:10-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Africa Worcester 0.3000159
 17  A*26:01-B*13:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  USA San Diego 0.2600496
 18  A*68:01-B*07:05-C*07:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.2101714
 19  A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 20  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*68:02:01-B*45:01:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*26:01-B*47:03-C*07:01-DRB1*07:01-DQB1*02:02-DPB1*13:01  Tanzania Maasai 0.1597336
 24  A*29:01-B*53:01-C*06:02-DRB1*13:02-DQB1*02:02-DPB1*13:01  Tanzania Maasai 0.1597336
 25  DQA1*02:01-DQB1*02:02-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12541,064
 26  DRB1*10:01-DQB1*02:02-DPB1*13:01  Gambia pop 3 0.0726939
 27  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 28  A*23:01-B*44:03-C*04:01-DRB1*10:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 29  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.0600833
 30  DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.01081,064

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).




   

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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