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 65 (from 65) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02:01  England North West 0.3000298
 2  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02-DPB1*01:01  Panama 0.1900462
 3  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 4  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.13951,075
 5  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.13655,849
 6  A*11:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.09401,028
 7  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.08334,204
 8  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 9  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.065423,595
 10  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.06242,403
 11  A*11:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.060620,653
 12  A*03:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.059220,653
 13  A*02:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.058720,653
 14  A*01:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Austria minority 0.05701,698
 15  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.055923,595
 16  A*03:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Croatia minority 0.04902,057
 17  A*24:03-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.04801,043
 18  A*26:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Spain minority 0.04501,107
 19  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 20  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 21  A*01:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 22  A*26:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 23  A*31:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Romania minority 0.04101,234
 24  A*02:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Austria minority 0.03601,698
 25  A*03:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 26  A*30:02-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 27  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.035223,595
 28  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*32:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*68:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02  Germany DKMS - Turkey minority 0.03104,856
 31  A*11:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Austria minority 0.02901,698
 32  A*32:01-B*56:01-C*01:02-DRB1*15:01  Germany DKMS - Austria minority 0.02901,698
 33  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.02575,829
 34  A*02:11-B*56:01-C*01:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 35  A*26:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 36  A*33:03-B*56:01-C*01:02-DRB1*15:01-DQB1*02:02  India East UCBB 0.02082,403
 37  A*11:01-B*56:01-C*01:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01937,595
 38  A*02:03:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01835,266
 39  A*11:02-B*56:01-C*01:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01777,595
 40  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01613,456,066
 41  A*02:03-B*56:01-C*01:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01567,595
 42  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.015123,595
 43  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01403,456,066
 44  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01333,456,066
 45  A*32:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:03  India Central UCBB 0.01194,204
 46  A*30:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.009120,653
 47  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008823,595
 48  A*26:01-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.008720,653
 49  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 50  A*02:20-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 51  A*31:01:02-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008323,595
 52  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 53  A*24:02-B*56:01-C*01:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00657,595
 54  A*25:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006123,595
 55  A*02:06-B*56:01-C*01:02-DRB1*15:01  Japan pop 16 0.005018,604
 56  A*11:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004511,446
 57  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00362,492
 58  A*01:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003523,595
 59  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00292,492
 60  A*24:02-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00252,492
 61  A*24:03:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 62  A*32:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 63  A*26:01:40-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001723,595
 64  A*24:02-B*56:01-C*01:02-DRB1*15:01  Poland DKMS 0.001520,653
 65  A*02:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00001112,492

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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