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 52 (from 52) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*44-DRB1*09-DQB1*03:03  Mexico Coahuila Rural 0.6881216
 2  A*03:01:01-B*44:02:01-C*15:02:01-DRB1*09:01:02-DQB1*03:03:02-DPB1*04:01:01  South African Black 0.3520142
 3  A*02-B*44-DRB1*09-DQB1*03:03  Mexico Jalisco, Zapopan 0.2976168
 4  A*25:01:01-B*44:03:02-C*07:06-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 5  A*02:01-B*44:02-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 6  A*32:01-B*44:03-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  USA San Diego 0.2600496
 7  A*02:01-B*44:02-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  Nicaragua Managua 0.2165339
 8  A*02-B*44-DRB1*09-DQB1*03:03  Ecuador Coast Mixed Ancestry 0.2101238
 9  A*02-B*44-DRB1*09-DQB1*03:03  Mexico Zacatecas Rural 0.1859266
 10  A*29:01-B*44:02-DRB1*09:01-DQB1*03:03  Mexico Mexico City Tlalpan 0.1515330
 11  A*33:03-B*44:03-C*14:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 12  A*02-B*44-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.08531,173
 13  A*02:01-B*44:02-C*05:01-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 14  A*01:01:01:01-B*44:02:01:03-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 15  A*02-B*44-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.0607824
 16  A*30-B*44-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.0607824
 17  A*02-B*44-DRB1*09-DQB1*03:03  Mexico Puebla Rural 0.0600833
 18  A*01:01-B*44:02-C*05:01-DRB1*09:01-DQB1*03:03-DPB1*04:02  Russia Karelia 0.05651,075
 19  A*32:01-B*44:02-C*05:01-DRB1*09:01-DQB1*03:03  Germany DKMS - Italy minority 0.04301,159
 20  A*30-B*44-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.04261,173
 21  A*29:02-B*44:03-C*16:01-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 22  A*01:01:01:01-B*44:03:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 23  A*03:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 24  A*02:07-B*44:03-C*14:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 25  A*32:01-B*44:02-C*05:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 26  A*33:03-B*44:03-C*14:03-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 27  A*33:03-B*44:03-C*14:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 28  A*11:01-B*44:03-C*07:06-DRB1*09:01-DQB1*03:03  India West UCBB 0.02065,829
 29  A*33:03-B*44:03-C*07:01-DRB1*09:01-DQB1*03:03  India Tamil Nadu 0.02012,492
 30  A*32:01-B*44:02-C*05:01-DRB1*09:01-DQB1*03:03-DPB1*02:01  Germany DKMS - German donors 0.01583,456,066
 31  A*33:03-B*44:03-C*07:06-DRB1*09:01-DQB1*03:03  India West UCBB 0.01375,829
 32  A*01:01-B*44:02-C*05:01-DRB1*09:01-DQB1*03:03  USA Hispanic pop 2 0.01201,999
 33  A*02:01-B*44:02-C*05:01-DRB1*09:01-DQB1*03:03  USA Hispanic pop 2 0.01201,999
 34  A*02:01-B*44:02-C*07:04-DRB1*09:01-DQB1*03:03  USA Hispanic pop 2 0.01201,999
 35  A*68:03-B*44:02-C*07:04-DRB1*09:01-DQB1*03:03  USA Hispanic pop 2 0.01201,999
 36  A*02:06-B*44:03-C*07:06-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 37  A*11:01-B*44:02-C*05:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 38  A*24:07-B*44:03-C*07:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 39  A*02:06-B*44:03-C*14:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 40  A*33:03-B*44:03-C*14:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 41  A*02:01-B*44:02-C*07:04-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 42  A*03:01-B*44:02-C*05:01-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 43  A*23:01-B*44:03-C*04:01-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 44  A*01:01-B*44:03-C*07:06-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 45  A*02:11-B*44:03-C*07:06-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 46  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002223,595
 47  A*01:01:01-B*44:03:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 48  A*24:72-B*44:02:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 49  A*25:01:01-B*44:02:01-C*05:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 50  A*68:01:02-B*44:03:01-C*06:02:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 51  A*31:01:02-B*44:02:01-C*05:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 52  A*11:01:01-B*44:02:01-C*05:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.001623,595

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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