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*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.2000485
 2  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 3.926724,582
 3  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Japan Central 3.6000371
 4  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 3.491577,584
 5  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 3.13003,078
 6  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 7  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.66701,772
 8  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.57671,734
 9  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*05:01  USA San Diego 0.5210496
 10  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.46003,078
 11  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  Japan pop 17 0.39003,078
 12  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*05:01  Japan pop 17 0.36003,078
 13  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*01:01  USA San Diego 0.2600496
 14  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Chinese 0.254799,672
 15  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 0.13003,078
 16  A*31:01-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 0.10003,078
 17  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:02  Japan pop 17 0.10003,078
 18  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*13:01  Japan pop 17 0.10003,078
 19  A*02:01-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 0.07003,078
 20  A*02:01-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.07003,078
 21  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:02  Japan pop 17 0.07003,078
 22  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*03:01  Japan pop 17 0.07003,078
 23  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*06:01  Japan pop 17 0.07003,078
 24  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 25  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 26  A*02:06:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.05771,734
 27  A*31:01-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.04401,772
 28  A*32:01-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 29  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 30  A*02:06-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 31  A*02:06-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 32  A*02:07-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 33  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 34  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 35  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 36  A*24:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 37  A*26:02-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 38  A*31:01-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 39  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 40  A*02:07:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.02881,734
 41  A*11:01:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.02881,734
 42  A*26:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.01102,411
 43  A*30:02-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.01102,411
 44  A*11:01-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 45  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Vietnamese 0.002943,540
 46  A*31:01:02-B*44:03:01-C*14:03-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 47  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Southeast Asian 0.000881027,978
 48  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Caribean Hispanic 0.0004330115,374
 49  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Filipino 0.000420050,614
 50  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Mexican or Chicano 0.0002320261,235
 51  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP South Asian Indian 0.0001040185,391
 52  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP African American pop 2 0.0000530416,581
 53  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP European Caucasian 0.00004231,242,890
 54  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Middle Eastern or North Coast of Africa 0.000008070,890

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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