Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 191) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*04:04:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  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
 3  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*30:01:01  Brazil Rio de Janeiro Black 1.470668
 4  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 1.35381,734
 5  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 1.1240356
 6  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 7  A*24:02:01-B*15:03:01-C*02:10:01-DRB1*11:01:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 8  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
 9  A*66:02-B*58:01:01-C*07:18:01-DRB1*15:03:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 10  A*68:01:02-B*51:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 11  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
 12  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.5620356
 13  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.547128,927
 14  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 15  A*26:01:01-B*38:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 16  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 17  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.4210356
 18  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*02:02:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 19  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 20  A*68:01:02-B*18:01:01-C*07:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*02:02:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 21  A*02:01:01-B*44:03:02-C*07:06:01-DRB1*04:01:01-DQB1*06:09:01-DPB1*01:01:01  South African Black 0.3520142
 22  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
 23  A*30:02:01-B*15:220-C*03:02:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*584:01  South African Black 0.3520142
 24  A*30:02:01-B*42:02:01-C*17:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*13:01:01  South African Black 0.3520142
 25  A*30:02:02-B*45:07-C*16:01:01-DRB1*13:01:01-DQB1*06:09:01-DPB1*18:01  South African Black 0.3520142
 26  A*30:04:01-B*15:10:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*02:01:19  South African Black 0.3520142
 27  A*36:01-B*44:03:02-C*07:06:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*01:01:01  South African Black 0.3520142
 28  A*68:02:01-B*07:02:01-C*04:01:01-DRB1*15:03:01-DQB1*06:09:01-DPB1*11:01:01  South African Black 0.3520142
 29  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
 30  A*74:01:01-B*15:03:01-C*02:10:01-DRB1*13:01:01-DQB1*06:09:01-DPB1*02:01:19  South African Black 0.3520142
 31  A*01:01:01-B*07:05:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 32  A*02:01:01-B*51:32-C*16:01:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 33  A*01:01:01-B*13:01:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 34  A*02:01:01-B*55:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 35  A*03:01:01-B*35:01:01-C*03:02:01-DRB1*15:02:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 36  A*24:02:01-B*07:05:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 37  A*24:02:01-B*35:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 38  A*68:01:02-B*18:01:01-C*07:06-DRB1*13:02:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 39  A*68:01:02-B*40:06:01-C*12:02:01-DRB1*11:01:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 40  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.2810356
 41  A*02:11:01-B*58:01:01-C*04:01:01-DRB1*08:02:01-DQB1*06:09:01  India Andhra Pradesh Telugu Speaking 0.2688186
 42  A*68:01:02-B*51:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:09:01  India Andhra Pradesh Telugu Speaking 0.2688186
 43  A*23:01:01-B*51:01:01-C*04:01:01-DRB1*14:54:01-DQB1*06:09:01  Russia Bashkortostan, Tatars 0.2604192
 44  A*33:03:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:02:01-DQB1*06:09:01  Russia Bashkortostan, Tatars 0.2604192
 45  A*33:03:01-B*58:01:01-C*08:22-DRB1*13:02:01-DQB1*06:09:01  Russia Bashkortostan, Tatars 0.2604192
 46  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*08:03:02-DQB1*06:09:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 47  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:07-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 48  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 49  A*24:02:01-B*57:01:01-C*07:02:01-DRB1*07:01:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 50  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*15:03:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 51  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 52  A*68:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 53  A*74:01:01-B*15:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 54  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.17321,734
 55  A*02:01:01-B*40:06:01-C*03:02:01-DRB1*15:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 56  A*02:01:01-B*56:01:01-C*04:03:01-DRB1*14:04:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 57  A*03:01:01-B*38:02:01-C*14:02:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 58  A*24:02:01-B*13:01:01-C*04:03:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 59  A*26:01:01-B*15:18:01-C*16:02:01-DRB1*10:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 60  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 61  A*30:02:01-B*58:01:01-C*03:146-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 62  A*31:01:02-B*51:01:01-C*07:04:01-DRB1*14:04:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 63  A*31:01:02-B*52:01:01-C*03:02:01-DRB1*13:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 64  A*31:01:02-B*58:34-C*03:02:01-DRB1*15:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 65  A*32:01:01-B*40:06:01-C*03:02:02-DRB1*04:10:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 66  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 67  A*68:01:02-B*07:06:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 68  A*03:01:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.13251,510
 69  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.120623,595
 70  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.1175221
 71  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0994221
 72  A*32:01:01-B*39:24-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.099428,927
 73  A*03:01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.09931,510
 74  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0854221
 75  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0746221
 76  A*23:01:01-B*53:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0687221
 77  A*30:02:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0614221
 78  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.05771,734
 79  A*30:02:01-B*15:01:01-C*03:04:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0383221
 80  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0355221
 81  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 82  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 83  A*11:01:01-B*18:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 84  A*25:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 85  A*25:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 86  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 87  A*26:01:01-B*58:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 88  A*29:02:01:01-B*51:08:01-C*16:02:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 89  A*31:01:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 90  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 91  A*68:13:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 92  A*31:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02951,734
 93  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02941,734
 94  A*30:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02891,734
 95  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 96  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 97  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 98  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 99  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 100  A*24:02:01-B*58:01:01-C*03:04:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734

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 191) 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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