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 129) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*39-DRB1*04:11-DQB1*04:02  Colombia Wayu from Guajira Peninsula 3.130048
 2  A*02-B*39-DRB1*04-DQB1*04  Mexico Veracruz, Orizaba 2.500060
 3  A*02-B*39-DRB1*04-DQB1*04  Mexico Guanajuato, Guanajuato city 2.272722
 4  A*02-B*39-DRB1*04-DQB1*04  Mexico Tamaulipas, Ciudad Victoria 2.173923
 5  A*02-B*39-DRB1*04-DQB1*04  Mexico Mexico City East 1.875079
 6  A*02-B*39-DRB1*04-DQB1*04  Mexico Oaxaca, Oaxaca city 1.3245151
 7  A*68-B*39-DRB1*04:11-DQB1*04:02  Colombia San Basilio de Palenque 1.191042
 8  A*02:06-B*39:02-C*03:04-DRB1*04:11-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 9  A*68:01-B*39:02-C*07:02-DRB1*04:11-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 10  A*68:01-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 11  A*68:01-B*39:01-C*03:04-DRB1*04:04-DQB1*04:03  Colombia North Chimila Amerindians 1.063847
 12  A*68:01-B*39:05-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 13  A*68:16-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 14  A*02-B*39-DRB1*04-DQB1*04  Mexico Quintana Roo, Cancun 1.041748
 15  A*68-B*39-DRB1*04-DQB1*04  Mexico Quintana Roo, Cancun 1.041748
 16  A*31-B*39-DRB1*04-DQB1*04  Mexico Quintana Roo Rural 1.000050
 17  A*02-B*39-DRB1*04-DQB1*04  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 18  A*68-B*39-DRB1*04-DQB1*04  Mexico Veracruz, Cordoba 0.892956
 19  A*68-B*39-DRB1*04-DQB1*04  Mexico Yucatan, Merida 0.7692192
 20  A*02-B*39-DRB1*04-DQB1*04  Mexico Nuevo Leon, Monterrey city 0.6637226
 21  A*26-B*39-DRB1*04-DQB1*04  Mexico Mexico City East 0.625079
 22  A*68-B*39-DRB1*04-DQB1*04  Mexico Mexico City East 0.625079
 23  A*24:02-B*39:01-DRB1*04:07-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 24  A*68-B*39-DRB1*04-DQB1*04  Mexico Zacatecas, Zacatecas city 0.595284
 25  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
 26  A*02-B*39-DRB1*04-DQB1*04  Mexico San Luis Potosi Rural 0.574787
 27  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
 28  A*02-B*39-DRB1*04-DQB1*04  Mexico Veracruz, Xalapa 0.5348187
 29  A*33:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 30  A*02-B*39-DRB1*04-DQB1*04  Ecuador Coast Mixed Ancestry 0.4202238
 31  A*02-B*39-DRB1*04-DQB1*04  Mexico Puebla Rural 0.4197833
 32  A*02-B*39-DRB1*04-DQB1*04  Mexico Mexico City Metropolitan Area Rural 0.3289150
 33  A*24-B*39-DRB1*04-DQB1*04  Mexico Mexico City Center 0.3247152
 34  A*68-B*39-DRB1*04-DQB1*04  Mexico Oaxaca Rural 0.3080485
 35  A*24-B*39-DRB1*04-DQB1*04  Mexico Tlaxcala, Tlaxcala city 0.2762181
 36  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
 37  A*24-B*39-DRB1*04-DQB1*04  Mexico Yucatan, Merida 0.2564192
 38  A*68-B*39-DRB1*04-DQB1*04  Mexico Sonora Rural 0.2538197
 39  A*02:01:01-B*39:08-C*07:02:01-DRB1*04:10:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 40  A*24:02:01-B*39:08-C*07:02:01-DRB1*04:10:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 41  A*03:01-B*39:08-C*07:02-DRB1*04:05-DQA1*03:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 42  A*24-B*39-DRB1*04-DQB1*04  Ecuador Coast Mixed Ancestry 0.2101238
 43  A*24-B*39-DRB1*04-DQB1*04  Mexico Oaxaca Rural 0.2053485
 44  A*02-B*39-DRB1*04-DQB1*04  Mexico Puebla, Puebla city 0.20041,994
 45  A*02:06-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 46  A*23:01-B*39:08-C*02:10-DRB1*04:01-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 47  A*24:02-B*39:08-C*07:02-DRB1*04:05-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 48  A*24:02-B*39:11-C*03:05-DRB1*04:07-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 49  A*31:01-B*39:08-C*04:01-DRB1*04:10-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 50  A*02-B*39-DRB1*04-DQB1*04  Mexico Tlaxcala Rural 0.1807830
 51  A*24-B*39-DRB1*04-DQB1*04  Mexico Tlaxcala Rural 0.1807830
 52  A*68-B*39-DRB1*04-DQB1*04  Mexico Puebla, Puebla city 0.17541,994
 53  A*24-B*39-DRB1*04-DQB1*04  Mexico Durango Rural 0.1529326
 54  A*02:01-B*39:11-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 55  A*68-B*39-DRB1*04-DQB1*04  Ecuador Andes Mixed Ancestry 0.1214824
 56  A*24-B*39-DRB1*04-DQB1*04  Mexico Nuevo Leon Rural 0.1136439
 57  A*02-B*39-DRB1*04-DQB1*04  Mexico Oaxaca Rural 0.1027485
 58  A*31-B*39-DRB1*04-DQB1*04  Mexico Oaxaca Rural 0.1027485
 59  A*24:02-B*39:06-C*07:02-DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 60  A*02-B*39-DRB1*04-DQB1*04  Mexico Veracruz Rural 0.0924539
 61  A*68-B*39-DRB1*04-DQB1*04  Mexico Veracruz Rural 0.0924539
 62  A*02-B*39-DRB1*04-DQB1*04  Mexico Jalisco Rural 0.0853585
 63  A*02-B*39-DRB1*04-DQB1*04  Ecuador Mixed Ancestry 0.08531,173
 64  A*24-B*39-DRB1*04-DQB1*04  Ecuador Mixed Ancestry 0.08531,173
 65  A*24-B*39-DRB1*04-DQB1*04  Mexico Jalisco Rural 0.0853585
 66  A*66-B*39-DRB1*04-DQB1*04  Mexico Jalisco Rural 0.0853585
 67  A*68-B*39-DRB1*04-DQB1*04  Ecuador Mixed Ancestry 0.08531,173
 68  A*02:01-B*39:01-C*07:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.07003,078
 69  A*02:03-B*39:01-C*03:03-DRB1*04:05-DQB1*04:01  India South UCBB 0.069811,446
 70  A*68:01-B*39:05-C*07:02-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 71  A*02-B*39-DRB1*04-DQB1*04  Mexico Mexico City North 0.0664751
 72  A*02:01:01-B*39:11-C*07:02:01-DRB1*04:11:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.0646221
 73  A*24-B*39-DRB1*04-DQB1*04  Mexico Puebla Rural 0.0600833
 74  A*30-B*39-DRB1*04-DQB1*04  Mexico Puebla Rural 0.0600833
 75  A*68-B*39-DRB1*04-DQB1*04  Mexico Puebla Rural 0.0600833
 76  A*02:03:01-B*39:09:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.05771,734
 77  A*24:02-B*39:08-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.05671,463
 78  A*01-B*39-DRB1*04-DQB1*04  Mexico Puebla, Puebla city 0.05011,994
 79  A*02:01-B*39:08-C*07:17-DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 80  A*02:06-B*39:02-C*03:04-DRB1*04:11-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 81  A*24:14-B*39:08-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.04581,463
 82  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.04541,734
 83  A*11:01-B*39:05-C*07:02-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.04401,772
 84  A*24-B*39-DRB1*04-DQB1*04  Mexico Jalisco, Guadalajara city 0.04191,189
 85  A*02:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India East UCBB 0.04162,403
 86  A*02:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India Central UCBB 0.03574,204
 87  A*02:01-B*39:11-C*07:02-DRB1*04:03-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 88  A*02:01-B*39:11-C*07:02-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 89  A*02:22-B*39:11-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 90  A*24:14-B*39:05-C*07:02-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 91  A*32:01-B*39:08-C*07:02-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 92  A*02:01-B*39:11-C*07:02-DRB1*04:10-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 93  A*02:01-B*39:04-C*07:02-DRB1*04:03-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 94  A*02:06-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 95  A*02:06-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 96  A*02:06-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 97  A*11:01-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 98  A*24:02-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 99  A*24:02-B*39:01-C*12:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 100  A*02:01:01-B*39:01:01-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  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 129) 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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