Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 348) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 3.4900215
 2  A*26-B*14-DRB1*03  United Arab Emirates 1.9000298
 3  A*32-B*14:02-DRB1*03:01-DQB1*02  Mexico Veracruz, Cordoba 1.785756
 4  A*29-B*14:02-DRB1*03:01-DQB1*02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 5  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 6  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Campeche, Campeche city 1.470634
 7  A*29-B*14:02-DRB1*03:01-DQB1*02  Mexico Jalisco, Tonala 1.428635
 8  A*29-B*14:02-DRB1*03:01-DQB1*02  Mexico Guanajuato Rural 1.2270162
 9  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Hidalgo, Pachuca 1.219541
 10  A*33-B*14-DRB1*03:01-DQB1*02:01  Bolivia La Paz Aymaras 1.149087
 11  A*02:01:01-B*14:02-DRB1*03:01:01  Portugal Center 1.000050
 12  A*23:01-B*14:02-C*08:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 13  A*02-B*14:02-DRB1*03:01-DQB1*02  Mexico Mexico City Center 0.9740152
 14  A*01:01-B*14:02-C*08:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*03:01-DQA1*03:03-DQB1*02:03  Portugal Azores Terceira Island 0.8772130
 15  A*03-B*14:02-DRB1*03:01-DQB1*02  Mexico Nayarit Rural 0.781264
 16  A*33:01-B*14:02-C*08:02-DRB1*03:01  Germany DKMS - Bosnia and Herzegovina minority 0.76901,028
 17  A*02-B*14:02-DRB1*03:01-DQB1*02  Mexico Zacatecas Rural 0.7435266
 18  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
 19  A*32-B*14:02-DRB1*03:01-DQB1*02  Mexico Sonora, Ciudad Obregón 0.6993143
 20  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Mexico City Center 0.6494152
 21  A*01-B*14:01-DRB1*03:01-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 22  A*02-B*14:02-DRB1*03:01-DQB1*02  Mexico Zacatecas, Zacatecas city 0.595284
 23  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 24  A*02-B*14:02-DRB1*03:01-DQB1*02  Mexico San Luis Potosi Rural 0.574787
 25  A*01:01-B*14:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 26  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Sinaloa Rural 0.5464183
 27  A*30-B*14-C*08-DRB1*03-DQB1*03  Sudan Khartoum 0.510098
 28  A*32-B*14-C*17-DRB1*03-DQB1*06  Sudan Khartoum 0.510098
 29  A*68-B*14-C*06-DRB1*03-DQB1*02  Sudan Khartoum 0.510098
 30  A*30-B*14:02-DRB1*03:01-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 31  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Sinaloa, Culiacán 0.4854103
 32  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 33  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 34  A*24:02-B*14:02-C*07:01-E*01:01:01-F*01:01:01-G*01:04-DRB1*03:04-DQA1*01:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 35  A*32:01-B*14:02-C*08:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*03:04-DQA1*05:01-DQB1*02:03  Portugal Azores Terceira Island 0.4386130
 36  A*33:01-B*14:02-C*04:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.4329339
 37  B*14:02-C*08:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.4300234
 38  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Michoacan Rural 0.4298348
 39  A*03-B*14:02-DRB1*03:01-DQB1*02  Mexico Chihuahua Chihuahua City 0.4202119
 40  A*29-B*14:02-DRB1*03:01-DQB1*02  Mexico Chihuahua Chihuahua City 0.4202119
 41  A*23-B*14:02-DRB1*03:01-DQB1*02  Mexico Chiapas Rural 0.4132121
 42  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Chiapas Rural 0.4132121
 43  A*02:05:01-B*14:02:01-C*04:01:01-DRB1*03:01  Costa Rica Amerindians (G) 0.4032125
 44  A*33-B*14-C*08-DRB1*03  Iran pop 4 0.4000855
 45  A*33-B*14:02-DRB1*03:01-DQB1*02  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 46  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
 47  A*02-B*14:02-DRB1*03:01-DQB1*02  Mexico Yucatan Rural 0.3731132
 48  B*14:02-DRB1*03:01  Italy pop 5 0.3700975
 49  A*03:01-B*14:02-DRB1*03:01  Israel Ethiopia Jews 0.36305,928
 50  A*43:01-B*14:01:01-C*08:04:01-DRB1*03:01:01-DQB1*03:01:01-DPB1*04:01:01  South African Black 0.3520142
 51  A*01:01-B*14:01-C*08:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 52  A*33:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 53  B*14:01-C*08:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 54  B*14:02-C*08:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 55  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Oaxaca, Oaxaca city 0.3311151
 56  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Michoacan, Morelia 0.3311150
 57  A*33:01-B*14:02-C*08:02-DRB1*03:01  Germany DKMS - Spain minority 0.32901,107
 58  A*33:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.322714,339
 59  A*33:01-B*14:02-C*08:02-DRB1*03:01  Germany DKMS - Croatia minority 0.31402,057
 60  A*02:01:01-B*14:02:01-C*03:03:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 61  A*33-B*14-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.3120641
 62  A*33:01-B*14:02-C*08:02-DRB1*03:01  Germany DKMS - Portugal minority 0.31101,176
 63  A*30-B*14:01-DRB1*03:01-DQB1*02  Mexico Guanajuato Rural 0.3067162
 64  A*30-B*14:02-DRB1*03:01-DQB1*02  Mexico Guanajuato Rural 0.3067162
 65  A*32-B*14-DRB1*03  Brazil South Ribeirao Preto 0.3000184
 66  A*33:01-B*14:02-C*08:02-DRB1*03:01  Italy pop 5 0.3000975
 67  A*33-B*14-DRB1*03  Brazil South Ribeirao Preto 0.3000184
 68  A*66:01-B*14:06-C*02:10-DRB1*03:01-DQA1*05:01-DQB1*05:03-DPB1*13:01  South Africa Worcester 0.3000159
 69  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Jalisco, Zapopan 0.2976168
 70  A*33:01-B*14:02-C*08:02-DRB1*03:01  Germany DKMS - Austria minority 0.29401,698
 71  A*33:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.2900975
 72  A*30-B*14:02-DRB1*03:01-DQB1*02  Mexico Sinaloa Rural 0.2732183
 73  A*23-B*14-DRB1*03:01  Colombia Barranquilla 0.2700188
 74  A*24-B*14-DRB1*03:02  Colombia Barranquilla 0.2700188
 75  A*03-B*14:02-DRB1*03:01-DQB1*02  Mexico Yucatan, Merida 0.2564192
 76  A*26-B*14:01-DRB1*03:01-DQB1*02  Mexico Yucatan, Merida 0.2564192
 77  A*24-B*14:02-DRB1*03:01-DQB1*02  Mexico Coahuila, Torreon 0.2500396
 78  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Coahuila, Torreon 0.2500396
 79  A*33-B*14-DRB1*03:01  Chile Santiago 0.2479920
 80  A*33:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 81  A*33-B*14-C*08-DRB1*03-DQA1*05-DQB1*02  Spain, Castilla y Leon, Northwest, 0.23451,743
 82  A*02:01-B*14:02-C*08:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*17:01  Nicaragua Managua 0.2165339
 83  A*02-B*14-DRB1*03  Brazil Para Cord Blood Unit 0.2160841
 84  A*33:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.21601,159
 85  A*03-B*14:02-DRB1*03:01-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 86  A*24-B*14:02-DRB1*03:01-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 87  A*02-B*14:02-DRB1*03:01-DQB1*02  Mexico Oaxaca Rural 0.2053485
 88  A*33:01-B*14:02-C*08:02-DRB1*03:01  Germany DKMS - Romania minority 0.20301,234
 89  A*01:01-B*14:02:01-C*08:02-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 90  A*03-B*14-DRB1*03  Iraq Erbil 0.2000372
 91  A*33-B*14-DRB1*03:01  USA NMDP Hispanic 0.2000449,844
 92  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.1980221
 93  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 94  A*31:01:02-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 95  A*11:01-B*14:02-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*10:01  Panama 0.1900462
 96  A*23:01-B*14:02-C*08:02-DRB1*03:02-DQB1*02:02-DPB1*01:01  Panama 0.1900462
 97  A*23:01-B*14:03-C*01:02-DRB1*03:02-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 98  A*02:01-B*14:02-DRB1*03:01  Israel Ethiopia Jews 0.18705,928
 99  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Zacatecas Rural 0.1859266
 100  A*03:02-B*14:02-DRB1*03:01  Israel Ethiopia Jews 0.17505,928

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 348) records   Pages: 1 2 3 4 of 4  


   

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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