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 100 (from 214) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*13:04-DQB1*03:19-DPB1*17:01  Gambia pop 3 6.7949939
 2  DRB1*13:04-DQB1*03:19-DPB1*131:01  Gambia pop 3 4.0556939
 3  A*02:05:01-B*58:01:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 2.4650142
 4  A*68:02:01-B*15:10:01-C*15:02:01-DRB1*08:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*416:01:01  Brazil Barra Mansa Rio State Black 2.381073
 5  DRB1*11:02-DQB1*03:19-DPB1*01:01  Gambia pop 3 2.1653939
 6  DRB1*13:04-DQB1*03:19-DPB1*01:01  Gambia pop 3 2.1588939
 7  A*03:01:01-B*15:10:01-C*17:03:01-DRB1*13:03:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Black 1.470668
 8  A*23:17:01-B*15:03:01-C*07:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 9  A*33:03:01-B*53:01:01-C*04:01:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*01:01:02  South African Black 1.4080142
 10  DRB1*08:04-DQB1*03:19-DPB1*01:01  Gambia pop 3 1.3474939
 11  DRB1*11:02-DQB1*03:19-DPB1*02:01  Gambia pop 3 1.0167939
 12  DRB1*11:01-DQB1*03:19-DPB1*01:01  Gambia pop 3 1.0130939
 13  A*01:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:05-DQB1*03:19  United Arab Emirates Abu Dhabi 0.960052
 14  A*02:01-B*35:02-C*02:10-DRB1*10:01-DQA1*01:05-DQB1*03:19  United Arab Emirates Abu Dhabi 0.960052
 15  A*02:01-B*50:01-C*07:01-DRB1*11:01-DQA1*05:05-DQB1*03:19  United Arab Emirates Abu Dhabi 0.960052
 16  A*74:01-B*15:03-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:19  United Arab Emirates Abu Dhabi 0.960052
 17  A*02:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.9585336
 18  DRB1*11:01-DQB1*03:19-DPB1*13:01  Gambia pop 3 0.9468939
 19  DRB1*11:01-DQB1*03:19  Mexico Mexico City Mestizo pop 2 0.8600234
 20  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:19  Mexico Tixcacaltuyub Maya 0.746367
 21  A*01:01:01-B*81:01-C*18:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.7040142
 22  A*23:01:01-B*15:10:01-C*16:01:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.7040142
 23  DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.6993143
 24  DRB1*13:04-DQB1*03:19  Mexico Mexico City Mestizo population 0.6993143
 25  A*29:01-B*81:01-C*18:01-DRB1*08:04-DQA1*04:01-DQB1*03:19  Brazil Puyanawa 0.6667150
 26  DRB1*11:02-DQB1*03:19-DPB1*105:01  Gambia pop 3 0.6578939
 27  DRB1*11:02-DQB1*03:19-DPB1*04:01  Gambia pop 3 0.6388939
 28  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*11:01:02-DQB1*03:19:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 29  DRB1*11:01-DQB1*03:19-DPB1*17:01  Gambia pop 3 0.5985939
 30  A*02:01:01-B*53:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 31  A*03:01:01-B*35:01:01-C*03:02:02-DRB1*11:01:02-DQB1*03:19:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 32  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 33  DRB1*08:04-DQB1*03:19-DPB1*02:01  Gambia pop 3 0.5394939
 34  DRB1*13:04-DQB1*03:19-DPB1*463:01  Gambia pop 3 0.5168939
 35  DRB1*11:02-DQB1*03:19-DPB1*463:01  Gambia pop 3 0.4989939
 36  A*23:01-B*81:01-C*18:01-DRB1*11:02-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.4792336
 37  A*68:02-B*07:02-C*07:02-DRB1*11:01-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.4792336
 38  DRB1*13:04-DQB1*03:19-DPB1*04:02  Gambia pop 3 0.4354939
 39  B*18:01-C*05:01-DRB1*11:01-DQB1*03:19  Mexico Mexico City Mestizo pop 2 0.4300234
 40  DRB1*13:04-DQB1*03:19-DPB1*03:01  Gambia pop 3 0.3987939
 41  A*01:01:01-B*58:02:01-C*06:02:01-DRB1*14:54:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 42  A*02:01:01-B*14:02:01-C*03:04:01-DRB1*13:03:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 43  A*02:01:01-B*53:01:01-C*04:01:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.3520142
 44  A*02:05:01-B*45:01:01-C*03:04:01-DRB1*13:01:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 45  A*03:01:01-B*41:01:01-C*17:01:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*106:01  South African Black 0.3520142
 46  A*03:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*03:19:01-DPB1*131:01  South African Black 0.3520142
 47  A*23:01:01-B*42:01:01-C*17:01:01-DRB1*11:02:01-DQB1*03:19:01-DPB1*835:01:01  South African Black 0.3520142
 48  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*01:02:01-DQB1*03:19:01-DPB1*02:01:02  South African Black 0.3520142
 49  A*23:01:01-B*53:01:01-C*18:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 50  A*23:17-B*58:01:01-C*03:02:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*01:01:02  South African Black 0.3520142
 51  A*24:02:01-B*58:01:01-C*02:10:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*02:01:02  South African Black 0.3520142
 52  A*29:02:01-B*08:01:01-C*16:01:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 53  A*29:02:01-B*18:01:01-C*06:02:01-DRB1*03:02:01-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.3520142
 54  A*29:02:01-B*44:03:02-C*06:02:01-DRB1*07:01:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 55  A*29:11-B*13:02:01-C*06:02:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*665:01  South African Black 0.3520142
 56  A*29:11-B*58:01:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 57  A*30:01:01-B*14:01:01-C*02:10:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 58  A*30:01:01-B*15:03:01-C*02:10:01-DRB1*01:02:01-DQB1*03:19:01-DPB1*665:01  South African Black 0.3520142
 59  A*30:01:01-B*15:03:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 60  A*30:01:01-B*18:01:01-C*02:02:02-DRB1*07:01:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 61  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*11:02:01-DQB1*03:19:01-DPB1*34:01:01  South African Black 0.3520142
 62  A*30:01:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:19:01-DPB1*18:01  South African Black 0.3520142
 63  A*30:02:01-B*14:02:01-C*02:10:01-DRB1*15:03:01-DQB1*03:19:01-DPB1*04:01:01  South African Black 0.3520142
 64  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 65  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*61:01N  South African Black 0.3520142
 66  A*30:02:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*03:19:01-DPB1*18:01  South African Black 0.3520142
 67  A*32:106-B*58:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.3520142
 68  A*43:01-B*39:10:01-C*05:01:01-DRB1*15:03:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 69  A*68:01:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*03:19:01-DPB1*02:01:02  South African Black 0.3520142
 70  A*68:02:01-B*15:03:01-C*02:02:02-DRB1*11:01:02-DQB1*03:19:01-DPB1*18:01  South African Black 0.3520142
 71  A*68:02:01-B*15:16:01-C*03:04:02-DRB1*03:02:01-DQB1*03:19:01-DPB1*15:01:01  South African Black 0.3520142
 72  A*74:01:01-B*15:03:01-C*02:10:01-DRB1*11:02:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 73  A*11:01-B*58:01-C*03:02-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 74  A*24:02-B*35:01-C*04:01-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 75  A*32:01-B*35:01-C*04:01-DRB1*13:04-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 76  A*68:02-B*15:01-C*03:03-DRB1*13:04-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 77  B*15:01-C*03:03-DRB1*13:04-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 78  B*35:01-C*04:01-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 79  B*35:01-C*04:01-DRB1*13:04-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 80  B*58:01-C*03:02-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 81  A*02:01-B*15:03-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*39:01  Tanzania Maasai 0.3195336
 82  A*23:01-B*81:01-C*04:01-DRB1*11:02-DQB1*03:19-DPB1*01:01  Tanzania Maasai 0.3195336
 83  A*02:01:01-B*58:01:01-C*07:18:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 84  A*03:01:01-B*81:01:01-C*08:04:01-DRB1*08:04:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*01:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 85  A*24:02:01-B*58:01:01-C*07:18:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 86  A*31:01:02-B*14:02:01-C*04:01:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 87  A*68:02:01-B*81:01:01-C*18:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 88  A*29:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*03:19-DPB1*01:01  South Africa Worcester 0.3000159
 89  A*29:02-B*15:03-C*02:10-DRB1*11:02-DQA1*05:05-DQB1*03:19-DPB1*34:01  South Africa Worcester 0.3000159
 90  DRB1*11:02-DQB1*03:19-DPB1*17:01  Gambia pop 3 0.2868939
 91  A*33:03-B*58:01-C*08:01-DRB1*11:01-DQB1*03:19  Malaysia Peninsular Chinese 0.2577194
 92  DRB1*13:04-DQB1*03:19-DPB1*85:01  Gambia pop 3 0.2503939
 93  DRB1*13:02-DQB1*03:19-DPB1*17:01  Gambia pop 3 0.2254939
 94  DRB1*11:02-DQB1*03:19-DPB1*13:01  Gambia pop 3 0.2226939
 95  DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo pop 2 0.2200234
 96  DRB1*08:04-DQB1*03:19-DPB1*39:01  Gambia pop 3 0.2177939
 97  DRB1*13:04-DQB1*03:19-DPB1*40:01  Gambia pop 3 0.2152939
 98  DRB1*13:04-DQB1*03:19-DPB1*04:01  Gambia pop 3 0.1951939
 99  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 100  A*02:01:01-B*15:17:01-C*16:01:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521

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 214) records   Pages: 1 2 3 of 3  


   

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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