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 57 (from 57) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 2  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01-DPB1*04:01:01  South African Black 0.3520142
 3  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*26:01:02  Russia Belgorod region 0.3268153
 4  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*08:01-DQA1*04:01:01-DQB1*04:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 5  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 6  A*26:01-B*07:02-C*07:02-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPB1*04:01  Nicaragua Managua 0.2165339
 7  A*31:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 8  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.192123,595
 9  A*03:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.16231,075
 10  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.15911,075
 11  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.150623,595
 12  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 13  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.13481,510
 14  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  USA NMDP American Indian South or Central America 0.12975,926
 15  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 16  A*24:02-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 17  A*03:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 18  A*03:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.06303,456,066
 19  A*03:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.06133,456,066
 20  A*03:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  USA Asian pop 2 0.04401,772
 21  A*03:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India East UCBB 0.04162,403
 22  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.04101,510
 23  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.04053,456,066
 24  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.04004,856
 25  A*24:02-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.03961,463
 26  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.037023,595
 27  A*33:03-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India Central UCBB 0.03574,204
 28  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.03493,456,066
 29  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 30  A*01:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 31  A*31:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 32  A*02:07:01-B*07:02:01-C*07:02:01:03-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*26:01:01-B*07:02:01-C*07:02:01:03-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*11:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.03104,856
 35  A*11:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India Central UCBB 0.02384,204
 36  A*03:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 37  A*68:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 38  A*02:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  USA Asian pop 2 0.02201,772
 39  A*11:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India East UCBB 0.02082,403
 40  A*24:02-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India North UCBB 0.02065,849
 41  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.020123,595
 42  A*01:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.01973,456,066
 43  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.018723,595
 44  A*24:02-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.01863,456,066
 45  A*01:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India West UCBB 0.01725,829
 46  A*24:02-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.01653,456,066
 47  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.013823,595
 48  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.012823,595
 49  A*01:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 50  A*33:03-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India West UCBB 0.00865,829
 51  A*11:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India North UCBB 0.00855,849
 52  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.007023,595
 53  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.006723,595
 54  A*11:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India South UCBB 0.004411,446
 55  A*01:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  India South UCBB 0.004311,446
 56  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.003423,595
 57  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.000997323,595

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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