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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Displaying 1 to 78 (from 78) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 2  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 3  A*01:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.00855,849
 4  A*01:01-B*48:01-C*08:22-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 5  A*01:01-B*48:01-C*15:04-DRB1*09:01-DQB1*03:03  India East UCBB 0.02082,403
 6  A*02:01:01:01-B*48:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 7  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 8  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 9  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 10  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 11  A*02:01-B*48:01-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 12  A*02:01-B*48:01-C*07:02-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 13  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.00745,849
 14  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004311,446
 15  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 16  A*02:01-B*48:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4000105
 17  A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 18  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 19  A*02:06:01-B*48:01:01-C*08:22:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05771,734
 20  A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 21  A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 22  A*02:06-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03-DPB1*02:01  Russia Karelia 0.11291,075
 23  A*02:07:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02411,734
 24  A*02:11-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.003511,446
 25  A*02:11-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 26  A*02-B*48-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 1.688087
 27  A*02-B*48-DRB1*09:01-DQB1*03:03  Bolivia Quechua 2.100069
 28  A*03:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*03:01:01-B*48:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 30  A*03:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 31  A*03:01-B*48:01-C*04:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 32  A*03:01-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 33  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 34  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 35  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 36  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.01105,849
 37  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 38  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13301,772
 39  A*11:01-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  India Tamil Nadu 0.02012,492
 40  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11531,734
 41  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.03351,734
 42  A*24:02-B*48:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 43  A*24:02-B*48:01-C*03:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 44  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 45  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 46  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 47  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 48  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.04925,849
 49  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.03574,204
 50  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 51  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.209511,499
 52  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 53  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 54  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.02104,856
 55  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  India North UCBB 0.00855,849
 56  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 57  A*26:01:01-B*48:01:01-C*07:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 58  A*26:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 59  A*26:02-B*48:01-C*04:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 60  A*26:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 61  A*26:03-B*48:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 62  A*30:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 63  A*31:01:02-B*48:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 64  A*31:01-B*48:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 65  A*31:01-B*48:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 66  A*31:01-B*48:01-C*04:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 67  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 1.0000150
 68  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 69  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 70  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.005311,446
 71  A*31:01-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 0.3333150
 72  A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.01785,849
 73  A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 74  A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 75  A*34-B*48-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 76  A*68:01-B*48:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  England North West 0.2000298
 77  A*68-B*48-DRB1*09:01-DQA1*01:02-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 78  A*69:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446

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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