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 54 (from 54) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06261,510
 2  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 3  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 4  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.007323,595
 5  A*01:01:01-B*35:01:01-DRB1*07:01:01  Portugal Center 1.500050
 6  A*02:01:01:01-B*35:01:01:02-C*08:03:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 7  A*02:01:01-B*35:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 8  A*02:01:01-B*35:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 9  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 10  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Vietnam Kinh 0.9900101
 11  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002323,595
 12  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 13  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.029623,595
 14  A*02:01:01-B*35:01:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 15  A*02:01:01-B*35:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 16  A*02:06:01-B*35:01:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 17  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.10481,510
 18  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:30  Russia Nizhny Novgorod, Russians 0.03311,510
 19  A*03:01:01-B*35:01:01-C*02:02:02-DRB1*07:01:01-DQA1*02:01:01-DQB1*05:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 20  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQA1*01:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 21  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.023423,595
 22  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*39:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.021623,595
 24  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.003423,595
 25  A*03:01:01-B*35:01:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 26  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06721,510
 27  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.033323,595
 28  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 29  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 30  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 31  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*24:02:01-B*35:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 33  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Barra Mansa Rio State Black 2.381073
 34  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 35  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014923,595
 36  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 37  A*24:02:01-B*35:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000879223,595
 38  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004223,595
 39  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 40  A*26:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 41  A*26:01:40-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 42  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.003123,595
 43  A*30:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:02  India Kerala Malayalam speaking 0.1400356
 44  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 45  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 46  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.008323,595
 47  A*31:01:02-B*35:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 48  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 49  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 50  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 51  A*33:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 52  A*33:03:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 53  A*68:01:01:02-B*35:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 54  A*68:01:02-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002223,595

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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