Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 66 (from 66) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*38-DRB1*16-DQB1*05  Mexico Tabasco, Villahermosa 1.219582
 2  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 1.0309194
 3  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Chinese 0.902599,672
 4  A*02:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.7732194
 5  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.66271,734
 6  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.39801,772
 7  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 8  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*23:01:01  Russia Belgorod region 0.3268153
 9  A*26-B*38-DRB1*16-DQB1*05  Mexico Mexico City Center 0.3247152
 10  A*33:01-B*38:02-C*07:01-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 11  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Vietnamese 0.244643,540
 12  A*68-B*38-DRB1*16-DQB1*05  Mexico Coahuila Rural 0.2294216
 13  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.14421,734
 14  A*02:01-B*38:01-C*04:01-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 15  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 0.131350,614
 16  A*02:01-B*38:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.12901,159
 17  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Southeast Asian 0.125927,978
 18  A*26-B*38-DRB1*16-DQB1*05  Mexico Veracruz Rural 0.0924539
 19  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India Central UCBB 0.06934,204
 20  A*26-B*38-DRB1*16-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 21  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.05771,734
 22  A*30:01-B*38:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*03:01  Russia Karelia 0.05651,075
 23  A*03:01-B*38:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*02:01  Russia Karelia 0.05641,075
 24  A*02:02-B*38:01-C*03:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 25  A*34:01-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 26  A*02:07-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04601,772
 27  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.045023,595
 28  A*24:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 29  A*26:01-B*38:01-C*12:03-DRB1*16:02-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 30  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.04295,829
 31  A*26-B*38-DRB1*16-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 32  A*29:02-B*38:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 33  A*03:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 35  A*68:01:01:02-B*38:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 36  A*68:01:02:01-B*38:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 37  A*68:01:02:02-B*38:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*03-B*38-C*12-DRB1*16-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 39  A*30:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.025923,595
 40  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India North UCBB 0.02565,849
 41  A*03:01-B*38:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.02104,856
 42  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India East UCBB 0.02082,403
 43  A*11:01-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India East UCBB 0.02082,403
 44  A*02:01-B*38:01-C*12:03-DRB1*16:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01404,856
 45  A*01:01-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01394,204
 46  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.013111,446
 47  A*03:01-B*38:01-C*12:03-DRB1*16:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 48  A*24:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 49  A*68:01-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 50  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.008623,595
 51  A*02:11-B*38:01-C*03:04-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 52  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.007123,595
 53  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP South Asian Indian 0.0061185,391
 54  A*02:11-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.004411,446
 55  A*33:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.004411,446
 56  A*68:01:02-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003923,595
 57  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 58  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002923,595
 59  A*31:01:02-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002323,595
 60  A*66:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002223,595
 61  A*02:01:01-B*38:01:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 62  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP African 0.001828,557
 63  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Korean 0.001377,584
 64  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP African American pop 2 0.0002190416,581
 65  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Caribean Hispanic 0.0001440115,374
 66  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Hispanic South or Central American 0.0000120146,714

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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