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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Displaying 1 to 100 (from 1,106) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24-B*35-DRB1*11-DQA1*05:01-DQB1*03:01  Georgia Svaneti Region Svan 5.700080
 2  A*24:02-B*35:01-DRB1*11:01-DQB1*03:01  Iran Tabriz Azeris 3.092897
 3  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Sinaloa Rural 2.7322183
 4  A*01:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Kurd pop 2 2.500060
 5  A*03:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 2.500060
 6  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Iran Gorgan 2.340064
 7  A*01-B*35-DRB1*11-DQB1*03:01  Mexico Quintana Roo Rural 2.000050
 8  A*02-B*35-DRB1*11-DQB1*03:01  Mexico Baja California, La Paz 2.000075
 9  A*03-B*35-DRB1*11-DQA1*05:01-DQB1*03:01  Georgia Svaneti Region Svan 1.900080
 10  A*01-B*35-DRB1*11:04-DQB1*03:01  Gaza Palestinians 1.8000165
 11  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Sinaloa Mestizo 1.800056
 12  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Veracruz, Cordoba 1.785756
 13  A*02:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Kurd pop 2 1.700060
 14  A*01:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 1.666760
 15  A*02:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 1.666760
 16  A*24-B*35-DRB1*11-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 17  A*03-B*35-DRB1*11-DQB1*03:01  Mexico Campeche, Campeche city 1.470634
 18  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 19  A*29-B*35-DRB1*11-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 20  A*24:02-B*35:01-DRB1*11:01-DQB1*03:01  USA South Dakota Lakota Sioux 1.4000302
 21  A*02-B*35-DRB1*11-DQB1*03:01  Mexico Guerrero state 1.3889144
 22  A*29-B*35-DRB1*11-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 23  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Chihuahua Chihuahua City 1.2605119
 24  A*03:01-B*35:01-C*04:01-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 1.2100124
 25  A*01-B*35-DRB1*11:01-DQB1*03:01  Gaza Palestinians 1.2000165
 26  A*24-B*35-DRB1*11:01-DQB1*03:01  Gaza Palestinians 1.2000165
 27  A*24-B*35-DRB1*11-DQB1*03:01  Mexico San Luis Potosi Rural 1.149487
 28  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Nuevo Leon Rural 1.1364439
 29  A*02-B*35-DRB1*11-DQB1*03:01  Mexico Queretaro, Queretaro city 1.111145
 30  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Queretaro, Queretaro city 1.111145
 31  A*30-B*35-DRB1*11-DQB1*03:01  Mexico Queretaro, Queretaro city 1.111145
 32  A*23-B*35-DRB1*11:01-DQA1*05:01-DQB1*03:01  Greece Crete 1.1000135
 33  B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 1.0490143
 34  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 1.04801,159
 35  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 1.0417192
 36  A*02:01-B*35:01-DRB1*11:01-DQB1*03:01  Iran Tabriz Azeris 1.030997
 37  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Middle Eastern or North Coast of Africa 1.003270,890
 38  A*01-B*35-DRB1*11-DQB1*03:01  Mexico Baja Californa, Mexicali 1.0000100
 39  A*02-B*35-DRB1*11-DQB1*03:01  Mexico Baja Californa, Mexicali 1.0000100
 40  A*02-B*35-DRB1*11-DQB1*03:01  Mexico Quintana Roo Rural 1.000050
 41  A*24:02-B*35:02-C*12:03-DRB1*11:04-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 42  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 43  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
 44  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.9259106
 45  A*32-B*35-DRB1*11-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.9259106
 46  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.9225271
 47  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.90404,856
 48  A*03-B*35-DRB1*11-DQB1*03:01  Mexico Jalisco, Zapopan 0.8929168
 49  A*11:01-B*35:27-DRB1*11:01-DQB1*03:01  Iran Yazd 0.892956
 50  A*24:02-B*35:01-DRB1*11:01-DQB1*03:01  Iran Yazd 0.892956
 51  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.8850226
 52  A*24:02-B*35:03-C*12:03-E*01:03:02-F*01:01:02-G*01:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.8772130
 53  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.87464,204
 54  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA NMDP Caribean Indian 0.859714,339
 55  A*68-B*35-DRB1*11-DQB1*03:01  Mexico Colima, Colima city 0.819761
 56  A*02:01-B*35:03-C*04:01-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 57  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 58  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Caribean Hispanic 0.7975115,374
 59  A*02-B*35-DRB1*11-DQB1*03:01  Mexico Tamaulipas Rural 0.7937125
 60  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Nayarit Rural 0.781264
 61  A*24:02-B*35:20-C*12:03-DRB1*11:01-DQB1*03:01  Iran Gorgan 0.780064
 62  A*01-B*35-DRB1*11-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 63  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 64  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Italy pop 5 0.7400975
 65  A*02-B*35-DRB1*11-DQB1*03:01  Mexico Michoacan Rural 0.7163348
 66  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.7020356
 67  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 68  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Guerrero state 0.6944144
 69  A*29-B*35-DRB1*11-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 70  A*03-B*35-DRB1*11-DQB1*03:01  Mexico Baja California, La Paz 0.666775
 71  A*01-B*35-DRB1*11-DQB1*03:01  Mexico Michoacan, Morelia 0.6623150
 72  A*02:01:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 73  A*02-B*35-DRB1*11-DQB1*03:01  Mexico Mexico City Center 0.6494152
 74  A*68-B*35-DRB1*11-DQB1*03:01  Mexico Mexico City Center 0.6494152
 75  A*01-B*35-DRB1*11-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 76  A*03-B*35-DRB1*11-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 77  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*14:01  Tanzania Maasai 0.6390336
 78  A*02-B*35-DRB1*11-DQB1*03:01  Mexico Chihuahua Rural 0.6276236
 79  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Hidalgo Rural 0.617381
 80  A*24-B*35-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 81  A*25-B*35-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 82  A*68-B*35-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 83  A*02-B*35-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.6106641
 84  A*31-B*35-DRB1*11-DQB1*03:01  Mexico Tabasco, Villahermosa 0.609882
 85  A*33-B*35-DRB1*11-DQB1*03:01  Mexico Morelos, Cuernavaca 0.609882
 86  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.60501,999
 87  A*03:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*01:01  South Africa Worcester 0.6000159
 88  A*03-B*35-DRB1*11-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 89  A*68:01-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 90  A*02-B*35-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.5921641
 91  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.5900975
 92  A*03:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.5900975
 93  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*126:01:01  Brazil Rio de Janeiro Parda 0.5882170
 94  A*68:01:02-B*35:08:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 95  A*68:02:01-B*35:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 96  A*11:01-B*35:03-C*04:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.58585,849
 97  A*32-B*35-DRB1*11-DQB1*03:01  Mexico Veracruz, Veracruz city 0.5814171
 98  A*02-B*35-DRB1*11:04-DQB1*03:01  Bolivia La Paz Aymaras 0.575087
 99  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Panama 0.5700462
 100  A*23:01-B*35:01-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288

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 1,106) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  


   

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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