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 66 (from 66) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*51-C*15-DRB1*07-DQB1*02  Albania pop 2 0.6800432
 2  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 3  A*03:01-B*51:01-C*15:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*07:01-DQA1*05:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 4  A*31:01-B*51:01-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.3333150
 5  A*03:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 6  A*11:01-B*51:01-C*15:02-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 7  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.148628,927
 8  A*11:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.13671,463
 9  A*02:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10251,463
 10  A*24:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09901,999
 11  A*11-B*51-C*15-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.09851,743
 12  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.093028,927
 13  A*68:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.07004,856
 14  A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 15  A*24-B*51-C*15-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.06631,743
 16  A*32-B*51-C*15-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.06571,743
 17  A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.06041,075
 18  A*33:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 19  A*30:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 20  A*30:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 21  A*30:02-B*51:01-C*15:07-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 22  A*24:03-B*51:01-C*15:04-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04104,856
 23  A*11:01-B*51:10-C*15:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 24  A*02:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 26  A*11:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*24:02:01-B*51:01:01-C*15:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 28  A*33:03-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02585,829
 29  A*03:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02512,492
 30  A*11:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.02201,772
 31  A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.021911,446
 32  A*02:06-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 33  A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 34  A*33:03-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 35  A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.01765,849
 36  A*02:01-B*51:01-C*15:04-DRB1*07:01-DQB1*02:02  India West UCBB 0.01725,829
 37  A*03:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.01515,849
 38  A*25:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014423,595
 39  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014423,595
 40  A*11:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.012111,446
 41  A*31:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01214,204
 42  A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 43  A*24:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 44  A*24:07-B*51:01-C*15:04-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 45  A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01104,856
 46  A*31:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01104,856
 47  A*02-B*51-C*15-DRB1*07-DQB1*02-DPB1*04  Norway ethnic Norwegians 0.01004,510
 48  A*11:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 49  A*23-B*51-C*15-DRB1*07-DQB1*02-DPB1*11  Norway ethnic Norwegians 0.01004,510
 50  A*33:03-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.009711,446
 51  A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 52  A*24:07-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 53  A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:110  India North UCBB 0.00855,849
 54  A*03:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:110  India North UCBB 0.00855,849
 55  A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005511,446
 56  A*24:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005411,446
 57  A*02:06-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004511,446
 58  A*02:131-B*51:01-C*15:04-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 59  A*68:01-B*51:01-C*15:04-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 60  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004423,595
 61  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003523,595
 62  A*23:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 63  A*03:01:01-B*51:01:01-C*15:06:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 64  A*01:01:01-B*51:01:19-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 65  A*33:03:01-B*51:01:01-C*15:06:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 66  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000225223,595

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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