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 36 (from 36) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*38:02:01-C*07:02:01-DRB1*11:06:01  China Jingpo Minority 1.0420105
 2  A*24-B*38-C*07-DRB1*11  Myanmar Kachin 0.794063
 3  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*11:06:01  China Jingpo Minority 0.5210105
 4  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 5  A*03:01-B*38:01-C*07:01-DRB1*11:04  Russia Bering Island Aleuts 0.4808104
 6  A*24:03-B*38:01-C*07:01-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 7  A*02:03-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  India Northeast UCBB 0.3378296
 8  A*11:01-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  India Northeast UCBB 0.3378296
 9  A*26:01:01-B*38:01:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 10  A*02:01-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 11  A*02:03-B*38:02-C*07:02-DRB1*11:01  Germany DKMS - China minority 0.13501,282
 12  A*02:03-B*38:02-C*07:02-DRB1*11:01  Hong Kong Chinese BMDR 0.12757,595
 13  A*03:01-B*38:01-C*07:01-DRB1*11:04  Italy pop 5 0.1000975
 14  A*11:01-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  USA Asian pop 2 0.08901,772
 15  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05685,266
 16  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04555,266
 17  A*02:07-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 18  A*11:01-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 19  A*29:01-B*38:02-C*07:02-DRB1*11:06-DQB1*03:01  USA Asian pop 2 0.04401,772
 20  A*24:10-B*38:02-C*07:02-DRB1*11:01  Germany DKMS - China minority 0.03901,282
 21  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.03011,734
 22  A*33:03-B*38:01-C*07:01-DRB1*11:02  Germany DKMS - Greece minority 0.02601,894
 23  A*02:03-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 24  A*26:01:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 25  A*02:03-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.010611,446
 26  A*24:02-B*38:02-C*07:02-DRB1*11:01  Hong Kong Chinese BMDR 0.01027,595
 27  A*33:03:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 28  A*02:01:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 29  A*02:03-B*38:02-C*07:02-DRB1*11:19  Hong Kong Chinese BMDR 0.00667,595
 30  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*11:06:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00645,266
 31  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 32  A*11:01-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 33  A*24:33-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 34  A*32:01-B*38:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 35  A*31:01:02-B*38:01:01-C*07:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 36  A*31:08-B*38:01:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595

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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