Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 165) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*35-DRB1*13:04-DQB1*03:01  Colombia San Basilio de Palenque 4.762042
 2  A*02-B*35-DRB1*13:03-DQB1*03:01  Colombia San Basilio de Palenque 2.381042
 3  A*24-B*35-DRB1*13-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.7900112
 4  A*01-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco, Tlajomulco 1.666730
 5  A*01-B*35-DRB1*13-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 6  A*31-B*35-DRB1*13-DQB1*03:01  Mexico Aguascalientes state 1.052695
 7  A*30-B*35-DRB1*13-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 8  A*02-B*35-DRB1*13-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 9  A*68-B*35-DRB1*13:01-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 10  A*02-B*35-DRB1*13-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 11  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 12  A*68-B*35-DRB1*13-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 13  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Nayarit, Tepic 0.515597
 14  A*01-B*35-DRB1*13-DQB1*03:01  Mexico Yucatan, Merida 0.5128192
 15  A*23-B*35-DRB1*13-DQB1*03:01  Mexico Baja Californa, Mexicali 0.5000100
 16  A*02:01-B*35:05-DRB1*13:02-DQB1*03:01  Peru Titikaka Lake Uros 0.4800105
 17  A*80:01:01-B*35:01:01-C*04:01:01-DRB1*13:04-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 18  A*11:01-B*35:01:01-C*14:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 19  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 20  A*24:02-B*35:01-C*04:01-DRB1*13:03-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 21  A*66-B*35-DRB1*13-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 22  A*68-B*35-DRB1*13-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 23  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Yucatan Rural 0.3731132
 24  A*03-B*35-DRB1*13-DQB1*03:01  Mexico Guerrero state 0.3472144
 25  A*23-B*35-DRB1*13-DQB1*03:01  Mexico Guerrero state 0.3472144
 26  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.3311151
 27  A*74-B*35-DRB1*13-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 28  A*02:01:01-B*35:01:01-C*15:13-DRB1*13:03:01-DQA1*03:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 29  A*30:01-B*35:01-C*07:05-DRB1*13:03-DQB1*03:01-DPB1*11:01  Tanzania Maasai 0.3195336
 30  A*30-B*35-DRB1*13-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 31  A*24:02:01-B*35:01:01-C*03:02:01-DRB1*13:02:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 32  A*30-B*35-DRB1*13-DQB1*03:01  Mexico Veracruz, Xalapa 0.2674187
 33  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Sonora Rural 0.2538197
 34  A*32-B*35-DRB1*13-DQB1*03:01  Mexico Coahuila, Torreon 0.2500396
 35  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 36  A*01-B*35-DRB1*13-DQB1*03:01  Mexico Coahuila Rural 0.2294216
 37  A*02:02-B*35:08:01-C*04:01:01-DRB1*13:04-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 38  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.2212226
 39  A*01:01-B*35:01-C*07:02-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 40  A*02:01-B*35:01-C*04:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 41  A*01-B*35-DRB1*13-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.2101238
 42  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Oaxaca Rural 0.2053485
 43  A*24-B*35-DRB1*13-DQB1*03:01  Mexico Oaxaca Rural 0.2053485
 44  A*01:01:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 45  A*02:20:01-B*35:20:01-C*04:01:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 46  A*30:02:01-B*35:08:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:04  Brazil Rio de Janeiro Caucasian 0.1946521
 47  A*02:02-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*17:01  Panama 0.1900462
 48  A*30:01-B*35:01-C*07:02-DRB1*13:02-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 49  A*24:02-B*35:03-C*07:24-DRB1*13:02-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 50  A*24-B*35-DRB1*13-DQB1*03:01  Mexico Tlaxcala Rural 0.1807830
 51  A*01-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 52  A*23-B*35-DRB1*13-DQB1*03:01  Mexico Durango Rural 0.1529326
 53  A*02:01-B*35:01-DRB1*13:03-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 54  A*02:02-B*35:01-DRB1*13:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 55  A*03:01-B*35:01-DRB1*13:03-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 56  A*03:01-B*35:02-C*04:01-DRB1*13:01-DQB1*03:01  Italy pop 5 0.1400975
 57  A*69-B*35-DRB1*13-DQB1*03:01  Mexico Coahuila, Torreon 0.1250396
 58  A*24-B*35-DRB1*13-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1214824
 59  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 60  A*68-B*35-DRB1*13-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 61  A*24-B*35-DRB1*13-DQB1*03:01  Mexico Puebla Rural 0.1199833
 62  A*03-B*35-DRB1*13-DQB1*03:01  Mexico Nuevo Leon Rural 0.1136439
 63  A*32:01-B*35:01-C*04:01-DRB1*13:05-DQB1*03:01  Germany DKMS - Turkey minority 0.10004,856
 64  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 65  A*03:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.08702,411
 66  A*30:02-B*35:01-C*07:01-DRB1*13:04-DQB1*03:01  USA African American pop 4 0.08702,411
 67  A*11-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 68  A*24-B*35-DRB1*13-DQB1*03:01  Ecuador Mixed Ancestry 0.08531,173
 69  A*24-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.08381,189
 70  A*01:01-B*35:02-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.08004,856
 71  A*01-B*35-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 72  A*23-B*35-DRB1*13:05-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 73  A*32-B*35-DRB1*13:03-DQA1*01:03-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 74  A*01-B*35-DRB1*13-DQB1*03:01  Mexico Mexico City North 0.0664751
 75  A*24:02-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*06:01  Russia Karelia 0.05601,075
 76  A*03:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.05561,075
 77  A*24:02-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.05104,856
 78  A*69:01-B*35:08-C*12:03-DRB1*13:05-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 79  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.046323,595
 80  A*02:01-B*35:01-C*16:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.04402,411
 81  A*30:02-B*35:01-C*04:01-DRB1*13:04-DQB1*03:01  USA African American pop 4 0.04402,411
 82  A*66:02-B*35:01-C*04:01-DRB1*13:04-DQB1*03:01  USA African American pop 4 0.04402,411
 83  A*03:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 84  A*11:01-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 85  A*23:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 86  A*32:01-B*35:01-C*04:01-DRB1*13:05-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 87  A*68:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 88  A*01-B*35-DRB1*13-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 89  A*02-B*35-DRB1*13-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 90  A*01-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 91  A*02-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 92  A*03-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 93  A*26-B*35-DRB1*13-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 94  A*02:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  India East UCBB 0.04162,403
 95  A*03:01-B*35:02-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03604,856
 96  A*01:01-B*35:01-C*04:01-DRB1*13:05-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 97  A*02:22-B*35:31-C*03:04-DRB1*13:05-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 98  A*23:01-B*35:08-C*04:01-DRB1*13:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 99  A*26:01-B*35:01-C*02:02-DRB1*13:05-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 100  A*02:01-B*35:08-C*04:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335

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 165) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional