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 39 (from 39) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*15:01-C*04:01-DRB1*04:03  South Korea pop 3 1.3000485
 2  A*11:01-B*15:01-C*04:01-DRB1*04:03  Hong Kong Chinese BMDR 0.20737,595
 3  A*24:02-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 4  A*02:06-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 5  A*33:03-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 6  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Russia Karelia 0.11211,075
 7  A*31:01-B*15:01-C*04:01-DRB1*04:03  Germany DKMS - Spain minority 0.09001,107
 8  A*24:02-B*15:01-C*04:01-DRB1*04:03  Hong Kong Chinese BMDR 0.07617,595
 9  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 10  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 11  A*02:01-B*15:01-C*04:01-DRB1*04:03  Hong Kong Chinese BMDR 0.04507,595
 12  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 13  A*69:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 14  A*02:01-B*15:01-C*04:01-DRB1*04:03  Germany DKMS - Austria minority 0.02901,698
 15  A*26:01-B*15:01-C*04:01-DRB1*04:03  Germany DKMS - Austria minority 0.02901,698
 16  A*11:01-B*15:01-C*04:01-DRB1*04:03  Japan pop 16 0.026018,604
 17  A*68:01-B*15:01-C*04:01-DRB1*04:03  Germany DKMS - Greece minority 0.02601,894
 18  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 19  A*32:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 20  A*02:03-B*15:01-C*04:01-DRB1*04:03-DQB1*03:05  India Tamil Nadu 0.02012,492
 21  A*24:02-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 22  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.01875,829
 23  A*02:01-B*15:01-C*04:01-DRB1*04:03  Poland DKMS 0.016420,653
 24  A*24:02-B*15:01-C*04:01-DRB1*04:03  Japan pop 16 0.016018,604
 25  A*31:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 26  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01153,456,066
 27  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.010823,595
 28  A*32:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 29  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 30  A*32:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 31  A*02:11-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.007411,446
 32  A*02:06-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.00705,829
 33  A*24:02:01-B*15:01:01-C*04:01:01-DRB1*04:03:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 34  A*68:01-B*15:01-C*04:01-DRB1*04:03  Poland DKMS 0.005720,653
 35  A*02:06-B*15:01-C*04:01-DRB1*04:03  Japan pop 16 0.005018,604
 36  A*24:07-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 37  A*11:01-B*15:01-C*04:01-DRB1*04:03  Poland DKMS 0.002120,653
 38  A*26:08-B*15:01-C*04:01-DRB1*04:03  Poland DKMS 0.002120,653
 39  A*03:01:01-B*15:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.000951623,595

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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