Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 517) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 2.777872
 2  A*68:03:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 2.777872
 3  A*24:02:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 2.083372
 4  A*03:01:01-B*39:01:01-C*07:04:01-DRB1*12:10-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 5  A*24:02:01-B*39:01:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 6  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 7  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 8  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Parda 1.1765170
 9  A*01:01:01-B*39:01:01-DRB1*08:01:01  Portugal North 1.100046
 10  A*02:01:01-B*39:01:01-DRB1*11:01:01  Portugal North 1.100046
 11  A*31:01:02-B*39:01:01-DRB1*15:01:01  Portugal North 1.100046
 12  A*02:01:01-B*39:01:01-DRB1*13:02:01  Portugal South 1.000049
 13  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 14  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.86321,734
 15  A*01:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 16  A*01:01:01-B*39:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 17  A*01:01:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 18  A*01:01:01-B*39:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 19  A*02:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 20  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 21  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 22  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 23  A*11:01:01-B*39:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 24  A*24:02:01-B*39:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 25  A*24:02:01-B*39:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 26  A*24:02:01-B*39:01:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 27  A*24:02:01-B*39:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 28  A*31:01:02-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 29  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 30  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 31  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 32  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 33  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 34  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  India Karnataka Kannada Speaking 0.5750174
 35  A*02:03:01-B*39:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 36  A*24:02:01:01-B*39:01:01:03-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.52751,510
 37  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 38  A*11:01:01-B*39:01:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 39  B*39:01:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 40  B*39:01:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 41  A*11:01:01-B*39:01:01  China Jingpo Minority 0.4950105
 42  A*11:01:01-B*39:01:01-C*07:02:01  China Jingpo Minority 0.4950105
 43  A*11:02:01-B*39:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:02:01  Vietnam Kinh 0.4950101
 44  A*33:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 45  B*39:01:01-C*07:02:01  China Jingpo Minority 0.4900105
 46  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 47  A*11:01:01-B*39:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 48  A*24:02:01-B*39:01:01-C*08:02:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 49  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.4210356
 50  A*03:01:01-B*39:01:01-C*02:02:02-DRB1*11:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 51  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DQA1*03:02:01-DQB1*03:03:02-DPA1*02:02:02-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 52  A*24:02:01-B*39:01:01-C*03:03:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 53  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*15:01:01  Russian Federation Vologda Region 0.4202119
 54  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 55  A*30:01:01-B*39:01:01-C*06:02:01-DRB1*01:01:01-DQA1*01:03:01-DQB1*05:01-DPA1*01:03:01-DPB1*16:01  Russian Federation Vologda Region 0.4202119
 56  A*31:01:02-B*39:01:01-C*02:02:02-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 57  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
 58  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
 59  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
 60  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 61  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
 62  A*24:02:01-B*39:01:01-C*08:02:01-DRB1*08:02:01  Costa Rica Amerindians (G) 0.4032125
 63  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 64  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 65  A*03:01:14-B*39:01:01-C*07:02:01-DRB1*08:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 66  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 67  A*25:01:01-B*39:01:01-C*12:03:01-DRB1*04:02:01-DQA1*03:01:01-DQB1*03:02-DPA1*02:01:01-DPB1*11:01:01  Russia Belgorod region 0.3268153
 68  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 69  A*02:01:01-B*39:01:01-C*05:37-DRB1*03:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*350:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 70  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 71  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 72  A*68:01:01-B*39:01:01-C*12:03:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 73  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 74  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 75  A*33:03:01-B*39:01:01-C*12:04:02-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 76  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.27741,734
 77  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*13:02:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 78  A*24:33-B*39:01:01-C*12:04:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 79  A*68:01:02-B*39:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 80  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 81  A*11:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*08:03:02-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 82  A*24:02:01:01-B*39:01:01-C*12:03:01:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 83  A*24:02:01:01-B*39:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 84  A*30:01:01-B*39:01:01:03-C*07:02:01-DRB1*13:02:01-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 85  A*30:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 86  A*01:01:01-B*39:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 87  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 88  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 0.2300215
 89  A*24:02:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 90  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 91  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*14:01:01-DQB1*05:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 92  A*32:01:01-B*39:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 93  A*68:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 94  A*01:01:01-B*39:01:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 95  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 96  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*02:07:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 97  A*24:02:01-B*39:01:01-C*05:01:01-DRB1*12:10-DQB1*03:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 98  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 99  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
 100  A*33:03:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:02:01  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 517) records   Pages: 1 2 3 4 5 6 of 6  


   

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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