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 45 (from 45) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68-B*56-DRB1*11-DQB1*03:01  Mexico Tamaulipas, Ciudad Victoria 4.347823
 2  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*02-B*56-DRB1*11-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 4  A*24:02-B*56:04-C*01:02-DRB1*11:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.853611,499
 5  A*66:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 6  A*11:01-B*56:01-C*01:02-DRB1*11:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.252511,499
 7  A*24:02-B*56:02-C*01:02-DRB1*11:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.221411,499
 8  A*03-B*56-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 9  A*02-B*56-DRB1*11-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 10  A*11:01-B*56:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.08032,492
 11  A*29-B*56-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 12  A*68:01-B*56:01-C*01:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 13  A*68:01-B*56:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 14  A*26:01-B*56:01-C*07:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:02  Japan pop 17 0.07003,078
 15  A*03-B*56-DRB1*11-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 16  A*03:01-B*56:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 17  A*31:01-B*56:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 18  A*02-B*56-DRB1*11-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 19  A*03-B*56-DRB1*11-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 20  A*11:01-B*56:01-C*04:10-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.04012,492
 21  A*11:01-B*56:01-C*01:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 22  A*24:02-B*56:01-C*01:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 23  A*02:01:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 24  A*32:01:01-B*56:01:01:02-C*01:02:01-DRB1*11:28:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 25  A*24:02-B*56:01-C*12:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 26  A*31:01-B*56:01-C*07:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 27  A*02:01:01-B*56:03-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 28  A*68:01-B*56:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 29  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.017223,595
 30  A*32:01-B*56:01-C*04:01-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 31  A*33:03-B*56:01-C*03:02-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 32  A*02:01-B*56:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01163,456,066
 33  A*01:01-B*56:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 34  A*03:02-B*56:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 35  A*29:02-B*56:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 36  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.009223,595
 37  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.008723,595
 38  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006623,595
 39  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006423,595
 40  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004823,595
 41  A*01:01:01-B*56:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 42  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*11:69-DQB1*03:01:01  Poland BMR 0.002123,595
 43  A*23:01:01-B*56:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 44  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000516223,595
 45  A*30:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.000239523,595

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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