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 63 (from 63) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*35:01-DRB1*08:01-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 2  A*02:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  Italy pop 5 0.4300975
 3  A*23:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQA1*05:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 4  A*02:01:01:01-B*35:01:01:02-C*12:03:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 5  A*68:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.28121,075
 6  A*68:03-B*35:01-C*07:02-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 7  A*68:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 8  A*03:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.16621,075
 9  A*03:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1600975
 10  A*11:01-B*35:01-C*07:01-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 11  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.136823,595
 12  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 13  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.05751,075
 14  A*68:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*04:02  Russia Karelia 0.05651,075
 15  A*02:11-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Asian pop 2 0.04401,772
 16  A*03:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA African American pop 4 0.04402,411
 17  A*11:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.04301,159
 18  A*01:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India West UCBB 0.04295,829
 19  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.042623,595
 20  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.036223,595
 21  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India West UCBB 0.03435,829
 22  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India North UCBB 0.03425,849
 23  A*01:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*24:02-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 26  A*68:01:02:02-B*35:01:01:02-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 27  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.02853,456,066
 28  A*01:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India North UCBB 0.02565,849
 29  A*03:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India Central UCBB 0.02384,204
 30  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  USA Asian pop 2 0.02201,772
 31  A*03:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 32  A*68:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 33  A*03:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.018523,595
 34  A*03:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.01323,456,066
 35  A*02:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 36  A*11:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 37  A*24:02-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 38  A*30:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 39  A*34:02-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 40  A*68:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 41  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.012023,595
 42  A*01:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 43  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 44  A*02:06-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 45  A*02:131-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 46  A*03:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.01063,456,066
 47  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.010323,595
 48  A*30:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 49  A*68:01-B*35:01-C*01:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 50  A*32:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India North UCBB 0.00965,849
 51  A*24:07-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India West UCBB 0.00865,829
 52  A*31:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India North UCBB 0.00855,849
 53  A*68:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India North UCBB 0.00855,849
 54  A*68:01:02-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.007923,595
 55  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.007823,595
 56  A*26:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.005223,595
 57  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002423,595
 58  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002323,595
 59  A*31:01:02-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002323,595
 60  A*66:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002223,595
 61  A*03:01:01-B*35:01:01-C*04:29-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 62  A*11:01:79-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 63  A*68:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.000132523,595

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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