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 248) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*48:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 2  A*01-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 3  A*02:01-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 4  A*02:01-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 5  A*02:01-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 6  A*02:01-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.5400105
 7  A*02:01-B*48:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 8  A*02:01-B*48:01-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.1600105
 9  A*02:01-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 10  A*02:02-B*48:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 11  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.006423,595
 12  A*02:06-B*48:01-C*07:02-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*14:01  Nicaragua Managua 0.2165339
 13  A*02:06-B*48:01-C*08:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.2600496
 14  A*02:06-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.18701,999
 15  A*02:06-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 16  A*02:06-B*48:01-C*12:03-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 17  A*02:11:01-B*48:02:01-C*04:01:01-DRB1*04:11:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.1105221
 18  A*02-B*48-DRB1*04:03-DQB1*03:02  Peru Lamas City Lama 7.800083
 19  A*02-B*48-DRB1*04:04-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 3.333360
 20  A*02-B*48-DRB1*04:07-DQB1*03:02  Bolivia La Paz Aymaras 0.856087
 21  A*02-B*48-DRB1*04:07-DQB1*03:02  Bolivia Quechua 1.450069
 22  A*02-B*48-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 23  A*02-B*48-DRB1*04:07-DQB1*03:02  Peru Lamas City Lama 2.400083
 24  A*02-B*48-DRB1*04:11-DQB1*03:02  Peru Lamas City Lama 2.400083
 25  A*02-B*48-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.46891,173
 26  A*02-B*48-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.4854824
 27  A*02-B*48-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.4202238
 28  A*02-B*48-DRB1*04-DQB1*03:02  Ecuador Amazonia Mixed Ancestry 1.282139
 29  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.3247152
 30  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 0.526395
 31  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.60121,994
 32  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 0.8287181
 33  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 0.515597
 34  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Zacatecas, Zacatecas city 1.785784
 35  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.3750396
 36  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 4.109672
 37  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.6623150
 38  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 39  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.67001,189
 40  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 1.3369187
 41  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 42  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.5312751
 43  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 44  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 45  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Leon 1.282178
 46  A*02-B*48-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 5.000030
 47  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 2.222245
 48  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.4425226
 49  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 0.2053485
 50  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.5396833
 51  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 2.4793121
 52  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.7614197
 53  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.0929183
 54  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro Rural 1.162843
 55  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 0.7937125
 56  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.6470539
 57  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.0000100
 58  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 1.6129153
 59  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.4202119
 60  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 2.000075
 61  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.4545439
 62  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 1.3253830
 63  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.5731348
 64  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.6135162
 65  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 66  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.9174216
 67  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.9294266
 68  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 0.781264
 69  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.5973585
 70  A*03-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.3067162
 71  A*03-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.04191,189
 72  A*11:01-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 73  A*23:01-B*48:01-C*01:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 74  A*23:01-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 75  A*23-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City East 0.625079
 76  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 77  A*24:02-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 78  A*24:02-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 79  A*24:02-B*48:01-C*08:01-DRB1*04:03-DQB1*03:02  USA NMDP Hawaiian or other Pacific Islander 0.189011,499
 80  A*24:02-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.15531,463
 81  A*24:02-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 82  A*24:02-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.28101,999
 83  A*24:02-B*48:01-C*08:01-DRB1*04:06-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 84  A*24:02-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 85  A*24:02-B*48:01-C*08:01-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 86  A*24:02-B*48:01-C*08:01-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 87  A*24:02-B*48:01-C*08:03-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.02201,772
 88  A*24:02-B*48:01-C*08:162-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 89  A*24:02-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 2.2000105
 90  A*24:02-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 2.2300105
 91  A*24:02-B*48:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 92  A*24:02-B*48:01-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.2900105
 93  A*24:02-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 94  A*24:02-B*48:01-DRB1*04:11-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 95  A*24:08-B*48:01:01-C*08:03:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 96  A*24:25-B*48:01-C*08:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 97  A*24:25-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 98  A*24-B*48-DRB1*04:08-DQB1*03:02  Bolivia Quechua 0.720069
 99  A*24-B*48-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.34101,173
 100  A*24-B*48-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.6303238

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 248) records   Pages: 1 2 3 of 3  


   

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