Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 787) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*10:01:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*32:01:01-B*39:09:01-C*07:02:01-DRB1*08:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*32:01:01-B*27:03-C*02:02:02-DRB1*08:04:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Black 1.470668
 4  A*32:01:01-B*57:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 5  A*32:01:01-B*48:04:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 1.3441186
 6  A*32:01:01-B*42:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 1.1765170
 7  A*32:01:01-B*07:02:01-C*02:10  South African Mixed ancestry 1.000050
 8  A*32:01:01-B*44:03:01-C*08:02:01  South African Indian population 1.000050
 9  A*32:01:01-B*51:01:01-C*16:02:01  South African Indian population 1.000050
 10  A*32:01:01-B*57:01:01-C*14:02:01  South African Indian population 1.000050
 11  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 12  A*32:01:01-B*42:02-C*17:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 13  A*32:01:01-B*53:01:01-C*04:01:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 14  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 15  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*04:02:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 16  A*32:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 17  A*32:01:01-B*14:01:01-C*08:02:01  England Blood Donors of Mixed Ethnicity 0.6686519
 18  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01  Nicaragua Mestizo (G) 0.6452155
 19  A*32:01:01-B*51:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 20  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:08:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 21  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 22  A*32:01:01-B*35:02:01-C*04:01:01-DRB1*10:01:01-DQB1*05:103-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 23  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 24  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.5750174
 25  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.5620356
 26  A*32:01:01-B*15:32:01-C*12:03:01-DRB1*11:06:01  China Jingpo Minority 0.5210105
 27  A*32:01:01-B*58:01:01-DRB1*03:01:01  China Jingpo Minority 0.5210105
 28  A*32:01:01-B*07:02:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.5208192
 29  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.5208192
 30  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 31  A*32:01:01-C*12:03:01-DRB1*11:06:01  China Jingpo Minority 0.5150105
 32  A*32:01:01-B*44:02:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.5128519
 33  A*32:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 34  A*32:01:01-B*58:01:01  China Jingpo Minority 0.4950105
 35  A*32:01:01-B*58:01:01-C*03:02:01  China Jingpo Minority 0.4950105
 36  A*32:01:01-B*51:01:01-C*16:01:01-DRB1*11:01:02  Costa Rica African -Caribbean (G) 0.4902102
 37  A*32:01:01-B*53:01:01-C*04:01:01-DRB1*10:01:01  Costa Rica African -Caribbean (G) 0.4902102
 38  A*32:01:01-C*03:02:01  China Jingpo Minority 0.4850105
 39  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 40  A*32:01:01-B*37:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 41  A*32:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 42  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*04:04:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 43  A*32:01:01-B*40:119-C*02:02:02-DRB1*16:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 44  A*32:01:01-B*41:02:01-C*02:10-DRB1*01:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 45  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 46  A*32:01:01-B*18:01:01-C*07:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.4525221
 47  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*11:04:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 48  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4210356
 49  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQA1*02:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 50  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 51  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*15:02:01-DQA1*05:05:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 52  A*32:01:01-B*35:01:10-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 53  A*32:01:01-B*39:01:01-C*07:02:01-DRB1*08:01:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 54  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:03:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 55  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 56  A*32:01:01-B*39:01:24-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*17:01:01  Russian Federation Vologda Region 0.4202119
 57  A*32:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 58  A*32:01:01-B*47:01:01-C*06:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 59  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 60  A*32:01:01-B*15:01:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 61  A*32:01:01-B*15:15-C*03:03:01-DRB1*04:04:01-DQB1*04:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 62  A*32:01:01-B*18:01:01-C*01:02:01-DRB1*01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.4167120
 63  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 64  A*32:01:01-B*40:06:01:02-C*06:02:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 65  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 66  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 67  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 68  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 69  A*32:01:01-B*38:01:01-C*02:02:02-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*05:01  Russia Belgorod region 0.3268153
 70  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 71  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*12:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 72  A*32:01:01-B*15:15-C*01:02:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 73  A*32:01:01-B*27:02:01-C*02:02:02-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 74  A*32:01:01-B*35:03:01-C*07:01:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 75  A*32:01:01-B*35:03:01-C*16:02:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 76  A*32:01:01-B*35:08:01-C*04:01:01-DRB1*11:01  Nicaragua Mestizo (G) 0.3226155
 77  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*07:01  Nicaragua Mestizo (G) 0.3226155
 78  A*32:01:01-B*07:02:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 79  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 80  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 81  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*15:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 82  A*32:01:01-B*18:01:01-C*05:01:01-DRB1*10:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 83  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*04:07:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 84  A*32:01:01-B*45:01:01-C*07:01:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 85  A*32:01:01-B*49:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 86  A*32:01:01-B*49:01:01-C*12:03:01-DRB1*04:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 87  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 88  A*32:01:01-B*15:02:01-C*08:01:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 89  A*32:01:01-B*18:01:01-C*07:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 90  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 91  A*32:01:01-B*35:03:01-C*07:01:01-DRB1*13:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 92  A*32:01:01-B*52:01:01-C*12:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 93  A*32:01:01-B*55:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.2854519
 94  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2760356
 95  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 96  A*32:01:01-B*18:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 97  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 98  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 99  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 100  A*32:01:01-B*48:04:01-C*04:01:01-DRB1*04:05:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186

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 787) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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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