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 100 (from 141) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24-B*55-DRB1*04-DQB1*03:02  Mexico Morelos Rural 3.333330
 2  A*32-B*55-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 3  A*02:52-B*55:01-C*07:01-DRB1*04:01-DQB1*03:02  Iran Gorgan 0.780064
 4  A*01-B*55-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.6637226
 5  A*02-B*55-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 0.526395
 6  A*02-B*55-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.4854103
 7  A*02-B*55-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 8  A*26:01:01-B*55:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*68:01:01-B*55:01:04-C*01:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 10  A*02-B*55-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 0.2674187
 11  A*02:06-B*55:02-C*04:01-DRB1*04:06-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 12  A*11-B*55-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 0.2564192
 13  A*03:01:01-B*55:01:01-C*03:03:01-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 14  A*11:01-B*55:01-C*03:03-DRB1*04:03:01-DQB1*03:02:01  England North West 0.2000298
 15  A*24:02-B*55:01-C*03:03-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 16  A*02:06-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 17  A*01:01-B*55:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 18  A*24:02-B*55:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 19  A*68:01-B*55:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 20  A*26:01-B*55:01-C*04:01-DRB1*04:03-DQB1*03:02  Italy pop 5 0.1400975
 21  A*24:02:01-B*55:02:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.11531,734
 22  A*02-B*55-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 23  A*24-B*55-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 24  A*68-B*55-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 25  A*11:01-B*55:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 26  A*11-B*55-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.0607824
 27  A*26:01-B*55:01-C*03:03-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.05641,075
 28  A*03:01-B*55:01-C*01:02-DRB1*04:04-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 29  A*02-B*55-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.05011,994
 30  A*26:01-B*55:01-C*03:04-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 31  A*24:02-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.04602,403
 32  A*02:03-B*55:12-C*03:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 33  A*11:02-B*55:02-C*07:02-DRB1*04:04-DQB1*03:02  USA Asian pop 2 0.04401,772
 34  A*24:02-B*55:02-C*03:03-DRB1*04:04-DQB1*03:02  USA Asian pop 2 0.04401,772
 35  A*31:01-B*55:02-C*01:02-DRB1*04:05-DQB1*03:02  USA Asian pop 2 0.04401,772
 36  A*03:01-B*55:01-C*01:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 37  A*69:01-B*55:01-C*03:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 38  A*11-B*55-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.04261,173
 39  A*11-B*55-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.04191,189
 40  A*33:03-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04012,492
 41  A*24:02-B*55:01-C*01:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.04004,856
 42  A*68:01-B*55:01-C*03:05-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 43  A*29:02-B*55:01-C*03:03-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*11:01-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.033811,446
 45  A*24:02:01:01-B*55:01:01-C*03:03:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*26:01:01-B*55:01:01-C*03:03:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*02:06-B*55:02-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 48  A*24:02-B*55:02-C*01:02-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 49  A*24:20-B*55:02-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 50  A*02:01:01-B*55:02:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 51  A*02:01:01-B*55:21-C*01:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 52  A*02:06:01-B*55:02:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 53  A*02:07:01-B*55:02:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 54  A*11:01:01-B*55:02:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 55  A*24:02:01-B*55:02:01-C*03:03:01-DRB1*04:08:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 56  A*24:02:01-B*55:02:01-C*03:04:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 57  A*31:01:02-B*55:02:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 58  A*26:01-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.025511,446
 59  A*24-B*55-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.02511,994
 60  A*24:02-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.02504,856
 61  A*02:01:01-B*55:02:01-C*01:02:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02341,734
 62  A*24:02-B*55:01-C*03:03-DRB1*04:05-DQB1*03:02  USA Hispanic pop 2 0.02301,999
 63  A*02:01-B*55:01-C*03:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.02265,829
 64  A*02:01-B*55:01-C*03:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.02201,772
 65  A*24:02-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02082,492
 66  A*24:02-B*55:01-C*01:02-DRB1*04:18-DQB1*03:02  India East UCBB 0.02082,403
 67  A*68:01-B*55:01-C*01:02-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 68  A*68:01-B*55:01-C*03:03-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 69  A*02:01-B*55:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 70  A*31:01-B*55:01-C*01:02-DRB1*04:35-DQB1*03:02  India Tamil Nadu 0.02012,492
 71  A*68:01-B*55:01-C*07:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 72  A*01:01-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.01905,829
 73  A*11:01-B*55:01-C*01:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01804,856
 74  A*02:01-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.01725,829
 75  A*03:01-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.01685,829
 76  A*24:02-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.016811,446
 77  A*01:01-B*55:01-C*01:02-DRB1*04:01-DQB1*03:02  India West UCBB 0.01575,829
 78  A*24:02-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.01565,849
 79  A*26:01:01-B*55:01:01-C*03:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.014623,595
 80  A*24:02-B*55:01-C*01:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.013111,446
 81  A*24:02-B*55:01-C*03:03-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 82  A*68:01-B*55:01-C*03:03-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 83  A*32:01:01-B*55:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.011923,595
 84  A*02:11-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 85  A*11:01-B*55:01-C*01:02-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 86  A*02:06-B*55:01-C*01:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01104,856
 87  A*26:01-B*55:01-C*01:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01104,856
 88  A*26:01-B*55:01-C*03:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.01085,829
 89  A*32:01-B*55:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01053,456,066
 90  A*68:01-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.01035,829
 91  A*01:01-B*55:01-C*01:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 92  A*02:01-B*55:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 93  A*02:01-B*55:01-C*03:03-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 94  A*02:01-B*55:01-C*15:02-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 95  A*03:01-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.010011,446
 96  A*23:01-B*55:01-C*01:02-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 97  A*24:02-B*55:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 98  A*24:02-B*55:04-C*03:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 99  A*29:01-B*55:01-C*01:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 100  A*01:01-B*55:01-C*01:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.009811,446

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).


Displaying 1 to 100 (from 141) records   Pages: 1 2 of 2  


   

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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