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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 38 (from 38) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*15:01-C*03:03-E*01:01:01-F*01:01:01-G*01:04-DRB1*13:02:01-DQA1*01:02-DQB1*06:09  Portugal Azores Terceira Island 0.4386130
 2  A*01:01:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 3  A*33:01-B*15:01-C*03:03-DRB1*13:02-DQB1*06:05  Malaysia Peninsular Indian 0.1845271
 4  A*02:01-B*15:01-C*03:03-DRB1*13:02  Germany DKMS - Netherlands minority 0.07501,374
 5  A*24:02-B*15:01-C*03:03-DRB1*13:02  Germany DKMS - Netherlands minority 0.07101,374
 6  A*24:02-B*15:01-C*03:03-DRB1*13:02  Germany DKMS - Austria minority 0.06001,698
 7  A*68:01-B*15:01-C*03:03-DRB1*13:02  Germany DKMS - United Kingdom minority 0.04801,043
 8  A*26:01-B*15:01-C*03:03-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 9  A*01:01-B*15:01-C*03:03-DRB1*13:02  Germany DKMS - Spain minority 0.04501,107
 10  A*25:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 11  A*33:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 12  A*26:03-B*15:01-C*03:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 13  A*11:01-B*15:01-C*03:03-DRB1*13:02  Germany DKMS - Croatia minority 0.02402,057
 14  A*68:01-B*15:01-C*03:03-DRB1*13:02  Germany DKMS - Croatia minority 0.02402,057
 15  A*02:01-B*15:01-C*03:03-DRB1*13:02  Poland DKMS 0.013120,653
 16  A*24:02-B*15:01-C*03:03-DRB1*13:02  Poland DKMS 0.010820,653
 17  A*30:01-B*15:01-C*03:03-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 18  A*11:01-B*15:01-C*03:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.008711,446
 19  A*24:02-B*15:01-C*03:03-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 20  A*26:01-B*15:01-C*03:03-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 21  A*02:01-B*15:01-C*03:03-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 22  A*24:02-B*15:01-C*03:03-DRB1*13:02-DQB1*06:04  India North UCBB 0.00855,849
 23  A*03:01-B*15:01-C*03:03-DRB1*13:02  Poland DKMS 0.008220,653
 24  A*31:01-B*15:01-C*03:03-DRB1*13:02  Poland DKMS 0.007420,653
 25  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.006423,595
 26  A*02:06-B*15:01-C*03:03-DRB1*13:02  Japan pop 16 0.005018,604
 27  A*26:01-B*15:01-C*03:03-DRB1*13:02  Japan pop 16 0.005018,604
 28  A*26:03-B*15:01-C*03:03-DRB1*13:02  Japan pop 16 0.005018,604
 29  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004723,595
 30  A*24:02-B*15:01-C*03:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004511,446
 31  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002623,595
 32  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002223,595
 33  A*25:01-B*15:01-C*03:03-DRB1*13:02  Poland DKMS 0.002220,653
 34  A*33:03-B*15:01-C*03:03-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.00212,492
 35  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQB1*05:03:01  Poland BMR 0.002123,595
 36  A*32:01-B*15:01-C*03:03-DRB1*13:02  Poland DKMS 0.000600020,653
 37  A*33:03-B*15:01-C*03:03-DRB1*13:02-DQB1*06:05  India Tamil Nadu 0.00000032,492
 38  A*33:03-B*15:01-C*03:03-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.00000032,492

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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