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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 42 (from 42) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.5210496
 2  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 3  B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 4  A*11:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*02:01:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 5  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Russia Karelia 0.28231,075
 6  A*68:02-B*14:02:01-C*08:02-DRB1*13:03:01-DQB1*03:01  England North West 0.2000298
 7  A*68:02:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.19871,510
 8  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  USA NMDP American Indian South or Central America 0.18415,926
 9  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.175823,595
 10  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.17433,456,066
 11  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 12  A*24:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 13  A*33:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 14  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 15  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.06833,456,066
 16  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*09:01  Russia Karelia 0.05651,075
 17  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*05:01  Russia Karelia 0.05651,075
 18  A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05641,075
 19  A*33:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*14:01  Russia Karelia 0.05571,075
 20  A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 21  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.043123,595
 22  A*24:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 23  A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*32:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*33:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 26  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*02:01:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 28  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 30  A*24:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.02301,999
 31  A*03:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01243,456,066
 32  A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01143,456,066
 33  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.011323,595
 34  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01103,456,066
 35  A*03:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 36  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.008523,595
 37  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004523,595
 38  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004523,595
 39  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  India South UCBB 0.004411,446
 40  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 41  A*26:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 42  A*03:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  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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