Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 59 (from 59) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01:02:02-B*51:01:01-C*15:02:01:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.8333120
 2  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 3  A*68:01:02:02-B*51:01:01-C*15:02:01:01-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 4  A*23:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 5  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 6  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 7  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 8  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.10704,856
 9  A*03:02-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.10251,463
 10  A*24:02-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.10161,075
 11  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.09101,159
 12  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.08201,999
 13  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.06831,075
 14  A*03:02-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 15  A*26:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 16  A*68:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.05801,999
 17  A*11:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05651,075
 18  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*05:01  Russia Karelia 0.05641,075
 19  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.044823,595
 20  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.03823,456,066
 21  A*11:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 22  A*23:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 23  A*23:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*25:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*31:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03404,856
 26  A*11:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.03363,456,066
 27  A*11:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 28  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.031823,595
 31  A*31:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.03073,456,066
 32  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 33  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 34  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 35  A*24:02-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 36  A*26:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 37  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.025023,595
 38  A*01:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01704,856
 39  A*01:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.01655,849
 40  A*11:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01504,204
 41  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.014323,595
 42  A*03:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01204,856
 43  A*11:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01204,856
 44  A*02:05-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 45  A*68:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 46  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009523,595
 47  A*01:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.009211,446
 48  A*26:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00925,849
 49  A*24:02-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.00884,204
 50  A*24:17-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 51  A*02:06-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 52  A*02:17:02-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008523,595
 53  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005223,595
 54  A*02:11-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 55  A*33:03-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 56  A*01:01:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004423,595
 57  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 58  A*11:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004011,446
 59  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595

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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