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*31:01:02-B*44:02:01-C*14:02:01-DRB1*01:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 2  A*23:01-B*44:03-C*14:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*10:01  USA San Diego 0.2600496
 3  A*24:02-B*44:03-C*14:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*05:01  USA San Diego 0.2600496
 4  B*44:02-C*14:02  Italy pop 5 0.1400975
 5  A*02:05-B*44:02-C*14:02-DRB1*09:01  Italy pop 5 0.1000975
 6  B*44:03-C*14:02  Italy pop 5 0.0700975
 7  A*33:03-B*44:03-C*14:02-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 8  A*01:01-B*44:02-C*14:02-DRB1*04:01  Germany DKMS - Portugal minority 0.04301,176
 9  A*02:01-B*44:02-C*14:02-DRB1*12:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 10  A*11:01-B*44:02-C*14:02-DRB1*15:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 11  B*44:03-C*14:02  USA Asian pop 2 0.02801,772
 12  A*02:01-B*44:02-C*14:02-DRB1*11:04  Germany DKMS - Greece minority 0.02601,894
 13  A*11:01-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.02565,849
 14  A*02:01-B*44:02-C*14:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 15  A*02:01-B*44:03-C*14:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 16  A*33:03-B*44:03-C*14:02-DRB1*13:02  Hong Kong Chinese BMDR 0.01967,595
 17  A*02:05-B*44:03-C*14:02-DRB1*12:01-DQB1*03:01  India Central UCBB 0.01194,204
 18  A*02:01-B*44:02-C*14:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 19  A*02:05-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 20  A*33:03-B*44:03-C*14:02-DRB1*14:05  Hong Kong Chinese BMDR 0.00527,595
 21  A*02:05-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 22  A*11:01-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 23  A*02:06-B*44:03-C*14:02-DRB1*13:02  Hong Kong Chinese BMDR 0.00437,595
 24  A*02:01:01-B*44:27:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002623,595
 25  A*02:01-B*44:02-C*14:02-DRB1*15:01  Poland DKMS 0.002420,653
 26  A*02:01:01-B*44:02:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 27  A*11:01:01-B*44:03:01-C*14:02:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 28  A*26:01:01-B*44:27:01-C*14:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 29  A*03:01:01-B*44:27:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 30  A*11:01:01-B*44:27:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001623,595
 31  A*32:01-B*44:02-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00083702,492
 32  A*32:01-B*44:03-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00083702,492
 33  A*32:02-B*44:02-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00083702,492
 34  A*32:02-B*44:03-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00083702,492
 35  A*32:08-B*44:02-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00083702,492
 36  A*32:08-B*44:03-C*14:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00083702,492
 37  A*32:01-B*44:02-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 38  A*32:01-B*44:03-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 39  A*32:02-B*44:02-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 40  A*32:02-B*44:03-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 41  A*32:08-B*44:02-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 42  A*32:08-B*44:03-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 43  A*32:01-B*44:02-C*14:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00013902,492
 44  A*32:01-B*44:02-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 45  A*32:01-B*44:03-C*14:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00013902,492
 46  A*32:01-B*44:03-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 47  A*32:02-B*44:02-C*14:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00013902,492
 48  A*32:02-B*44:02-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 49  A*32:02-B*44:03-C*14:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00013902,492
 50  A*32:02-B*44:03-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 51  A*32:08-B*44:02-C*14:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00013902,492
 52  A*32:08-B*44:02-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 53  A*32:08-B*44:03-C*14:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00013902,492
 54  A*32:08-B*44:03-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492

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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