Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 59 (from 59) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.9804102
 2  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 3  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 4  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 5  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.4902102
 6  A*34:02:01-B*07:02:01-C*07:02:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 7  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01  Costa Rica Amerindians (G) 0.4216125
 8  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*01:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 9  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*02:01:02-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 10  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 11  A*02:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 12  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 13  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*06:02:01-DPA1*02:01:04-DPB1*350:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 14  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 15  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.26911,510
 16  A*30:04:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 17  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.174023,595
 18  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.16631,510
 19  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.16151,510
 20  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.115728,927
 21  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.101523,595
 22  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.080323,595
 23  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06731,510
 24  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.060323,595
 25  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.05771,734
 26  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 27  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.05701,510
 28  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.050223,595
 29  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.044323,595
 30  A*01:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03321,510
 31  A*03:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*23:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.027223,595
 34  A*25:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.02711,510
 35  A*26:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.02051,510
 36  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.018123,595
 37  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.017423,595
 38  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.013123,595
 39  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 40  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.009223,595
 41  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 42  A*02:06:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.006423,595
 43  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 44  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.004423,595
 45  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 46  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.003923,595
 47  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003723,595
 48  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.003623,595
 49  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002723,595
 50  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 51  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.002423,595
 52  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 53  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 54  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 55  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 56  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002023,595
 57  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.001723,595
 58  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.000844623,595
 59  A*03:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000356923,595

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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