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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Displaying 1 to 100 (from 441) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*02:01:01-B*53:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:08-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 4  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 5  A*03:02:01-B*51:01:01-C*03:04:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 6  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 7  A*11:01:01-B*55:01:01-C*03:03:01-DRB1*04:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 8  A*24:02:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 9  A*29:11-B*13:02:01-C*08:02:01-DRB1*11:01:02-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 10  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 1.7647170
 11  A*03:01:01-B*08:01:01-C*02:10:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 12  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
 13  A*23:01:01-B*42:01:01-C*08:02:01-DRB1*04:05:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 14  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 15  A*29:02:01-B*15:03:01-C*02:10:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 16  A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 17  A*31:01:02-B*18:01:01-C*05:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 18  A*33:01:01-B*35:01:01-C*04:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 19  DRB1*16:01-DQB1*05:02-DPB1*10:01  Greece pop3 1.2000246
 20  DPA1*02:01-DPB1*10:01  Spain Navarre Basques 1.1000116
 21  A*29:11-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 1.0560142
 22  DPA1*02:01:01-DPB1*10:01  Tokelau 1.000050
 23  A*68:02-B*15:10-C*08:04-DRB1*13:01-DQB1*06:03-DPB1*105:01  Tanzania Maasai 0.7987336
 24  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
 25  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.7040142
 26  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*105:01:01  South African Black 0.7040142
 27  A*29:11-B*15:10:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*105:01:01  South African Black 0.7040142
 28  A*34:02:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.7040142
 29  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.7040142
 30  DRB1*11:02-DQB1*03:19-DPB1*105:01  Gambia pop 3 0.6578939
 31  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 32  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 33  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
 34  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 35  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
 36  A*02:06:01-B*39:01:03-C*07:02:01-DRB1*11:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 0.5882170
 37  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 38  A*23:17:01-B*44:03:01-C*05:01:01-DRB1*09:01:02-DQB1*02:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 39  A*24:02:01-B*07:09:01-C*07:02:01-DRB1*15:03:01-DQB1*05:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 40  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 41  A*24:05:01-B*13:02:01-C*06:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 42  A*26:01:01-B*57:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 43  A*33:03:01-B*18:01:01-C*08:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 44  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 0.5882170
 45  A*36:01-B*44:50:01-C*04:01:01-DRB1*08:06-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 46  A*68:01:01-B*45:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 0.5882170
 47  A*74:01:01-B*07:02:01-C*07:02:01-DRB1*08:06-DQB1*06:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 48  A*74:01:01-B*15:03:01-C*03:04:02-DRB1*03:01:01-DQB1*06:09:01-DPA1*02:01:08-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 49  A*74:01:01-B*58:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 50  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 51  DRB1*03:01-DQB1*02:01-DPB1*10:01  Gambia pop 3 0.5806939
 52  DRB1*13:01-DQB1*06:03-DPB1*10:01  Gambia pop 3 0.5806939
 53  DRB1*04:05-DQB1*02:02-DPB1*10:01  Gambia pop 3 0.5080939
 54  A*02:02-B*58:02-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.4792336
 55  A*03:01-B*44:02-C*05:01-DRB1*04:04-DQA1*03:01-DQB1*05:02-DPB1*10:01  Nicaragua Managua 0.4329339
 56  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*104:01  Russian Federation Vologda Region 0.4202119
 57  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*10:01  Russian Federation Vologda Region 0.4202119
 58  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*10:01  Russian Federation Vologda Region 0.4202119
 59  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 60  A*02:01:01-B*58:02:01-C*15:05:02-DRB1*13:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*106:01  Brazil Rio de Janeiro Caucasian 0.3891521
 61  A*33:01:01-B*14:01:01-C*08:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 62  A*68:02:01-B*49:01:01-C*03:04:02-DRB1*15:03:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 63  A*23:01-B*15:03-C*02:10-DRB1*07:01-DQB1*02:02-DPB1*105:01  Panama 0.3800462
 64  DRB1*03:01-DQB1*02:01-DPB1*105:01  Gambia pop 3 0.3628939
 65  A*01:01:01-B*15:10:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*105:01:01  South African Black 0.3520142
 66  A*01:01:01-B*58:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*105:01:01  South African Black 0.3520142
 67  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
 68  A*02:02:01-B*15:10:01-C*03:04:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 69  A*02:05:01-B*07:02:01-C*02:10:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*105:01:01  South African Black 0.3520142
 70  A*02:05:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.3520142
 71  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
 72  A*23:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*05:01:01-DPB1*104:01:01  South African Black 0.3520142
 73  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01-DPB1*105:01:01  South African Black 0.3520142
 74  A*23:17-B*44:03:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*105:01:01  South African Black 0.3520142
 75  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
 76  A*29:02:01-B*44:03:02-C*07:01:01-DRB1*11:01:02-DQB1*03:01:01-DPB1*104:01:01  South African Black 0.3520142
 77  A*29:02:01-B*57:03:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*104:01:01  South African Black 0.3520142
 78  A*30:01:01-B*07:02:01-C*17:01:01-DRB1*08:04:01-DQB1*03:01:01-DPB1*105:01:01  South African Black 0.3520142
 79  A*30:01:01-B*15:10:01-C*03:04:02-DRB1*13:02:01-DQB1*06:09:01-DPB1*105:01:01  South African Black 0.3520142
 80  A*30:01:01-B*42:02:01-C*17:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 81  A*30:01:01-B*58:01:01-C*07:18-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 82  A*30:02:01-B*15:10:01-C*03:04:02-DRB1*03:01:01-DQB1*02:01:01-DPB1*105:01:01  South African Black 0.3520142
 83  A*30:02:01-B*18:01:01-C*07:04:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*105:01:01  South African Black 0.3520142
 84  A*30:04:01-B*44:03:01-C*02:10:01-DRB1*13:01:01-DQB1*06:02:01-DPB1*105:01:01  South African Black 0.3520142
 85  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
 86  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*02:02:01-DPB1*104:01:01  South African Black 0.3520142
 87  A*33:03:01-B*15:16:01-C*14:02:01-DRB1*03:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 88  A*33:03:01-B*53:01:01-C*04:01:01-DRB1*04:04:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.3520142
 89  A*34:02:01-B*07:02:01-C*18:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 90  A*68:01:01-B*58:02:01-C*07:01:02-DRB1*11:02:01-DQB1*03:01:01-DPB1*105:01:01  South African Black 0.3520142
 91  A*68:02:01-B*15:03:01-C*02:10:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*105:01:01  South African Black 0.3520142
 92  A*68:02:01-B*15:03:01-C*03:04:02-DRB1*03:01:01-DQB1*05:01:01-DPB1*104:01:01  South African Black 0.3520142
 93  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*13:01:01-DQB1*05:01:01-DPB1*106:01  South African Black 0.3520142
 94  A*68:02:01-B*15:10:01-C*08:01:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*104:01:01  South African Black 0.3520142
 95  A*68:02:01-B*40:01:02-C*08:02:01-DRB1*08:01:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.3520142
 96  A*68:02:01-B*42:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*105:01:01  South African Black 0.3520142
 97  A*68:02:01-B*58:02:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPB1*105:01:01  South African Black 0.3520142
 98  A*74:01:01-B*15:03:01-C*02:10:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 99  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQA1*01:03:01-DQB1*02:02-DPA1*02:02:02-DPB1*104:01:01  Russia Belgorod region 0.3268153
 100  A*01:01:01-B*50:01:01-C*07:01:01-DRB1*10:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*104:01:01  Russia Belgorod region 0.3268153

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).


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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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