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 73 (from 73) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 2  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.001823,595
 3  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03004,856
 4  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.05572,492
 5  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.06155,829
 6  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.020411,446
 7  A*01:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 1.560064
 8  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002823,595
 9  A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.12901,159
 10  A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.01165,849
 11  A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 12  A*02:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.18001,999
 13  A*02:01-B*35:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 14  A*02:04-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 15  A*02:05-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 16  A*02:07-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 17  A*02:17:02-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.001223,595
 18  A*02:50-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064
 19  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.07091,510
 20  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.033323,595
 21  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02204,856
 22  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 23  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India East UCBB 0.02272,403
 24  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.02535,829
 25  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.04055,849
 26  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.03703,456,066
 28  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02373,456,066
 29  A*03:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05651,075
 30  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002223,595
 31  A*03:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 32  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.021123,595
 33  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 34  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.08804,856
 35  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 36  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.02925,829
 37  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.07415,849
 38  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*11:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.14301,999
 40  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.016623,595
 41  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.08504,856
 42  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 43  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.02015,849
 44  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.007311,446
 45  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02204,204
 46  A*24:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.01405,829
 47  A*24:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 48  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 49  A*26:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.01735,829
 50  A*26:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 51  A*29:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05611,075
 52  A*30:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 53  A*31:01:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 54  A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.007811,446
 55  A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 56  A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 57  A*31:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 58  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006223,595
 59  A*32:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.07204,856
 60  A*32:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.013211,446
 61  A*32:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 62  A*33:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 63  A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.022111,446
 64  A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00885,829
 65  A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.00935,849
 66  A*33:03-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 67  A*36:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 68  A*68:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.00074002,492
 69  A*68:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.007611,446
 70  A*68:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.005223,595
 71  A*68:02-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 72  A*74:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.08702,411
 73  A*80:01-B*35:01-C*04:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411

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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