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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 88 (from 88) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Baja California, La Paz 2.000075
 2  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Baja California, Tijuana 2.000025
 3  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Quintana Roo Rural 2.000050
 4  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Mexico City East 1.875079
 5  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Hidalgo Rural 1.851981
 6  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Zacatecas, Zacatecas city 1.785784
 7  A*02-B*40:02-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 1.724187
 8  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Jalisco, Tlajomulco 1.666730
 9  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Mexico City Metropolitan Area Rural 1.6447150
 10  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Mexico City Center 1.6234152
 11  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Baja Californa, Mexicali 1.5000100
 12  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Jalisco, Tonala 1.428635
 13  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Nuevo Leon Rural 1.3636439
 14  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Jalisco, Tlaquepaque 1.282139
 15  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Tabasco, Villahermosa 1.219582
 16  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Tlaxcala Rural 1.2048830
 17  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Jalisco, Zapopan 1.1905168
 18  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Colima Rural 1.136443
 19  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Queretaro, Queretaro city 1.111145
 20  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Aguascalientes state 1.052695
 21  A*02-B*40:02-DRB1*08-DQB1*04  Ecuador Coast Mixed Ancestry 1.0504238
 22  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Jalisco Rural 1.0239585
 23  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 1.010199
 24  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Baja California Rural 1.000050
 25  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Mexico City South 0.961552
 26  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Zacatecas Rural 0.9294266
 27  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Chihuahua Chihuahua City 0.8403119
 28  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 0.8287181
 29  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Puebla Rural 0.7794833
 30  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Durango Rural 0.7645326
 31  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Jalisco, Guadalajara city 0.75381,189
 32  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Veracruz Rural 0.7394539
 33  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.7163348
 34  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 35  A*02:01:01-B*40:02:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 36  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Coahuila, Saltillo 0.684972
 37  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 0.6667150
 38  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.62631,994
 39  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Guanajuato Rural 0.6135162
 40  A*02:01-B*40:02-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 41  A*02:01-B*40:02-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 42  A*02-B*40:02-DRB1*08-DQB1*04  Ecuador Mixed Ancestry 0.55411,173
 43  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Sinaloa Rural 0.5464183
 44  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Mexico City North 0.5312751
 45  A*02-B*40:02-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.4854824
 46  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 0.4762103
 47  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Coahuila Rural 0.4587216
 48  A*02:01-B*40:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.4545330
 49  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Nuevo Leon, Monterrey city 0.4425226
 50  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 51  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Chihuahua Rural 0.4184236
 52  A*02:06-B*40:02-C*03:05-DRB1*08:02-DQB1*04:02-DPB1*14:01  Panama 0.3800462
 53  A*02:22-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.37511,463
 54  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Coahuila, Torreon 0.3750396
 55  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Tabasco Rural 0.3521142
 56  A*02:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 57  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Guerrero state 0.3472144
 58  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Michoacan, Morelia 0.3311150
 59  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Durango, Durango city 0.3226153
 60  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Veracruz, Veracruz city 0.2907171
 61  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Yucatan, Merida 0.2564192
 62  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Sonora Rural 0.2538197
 63  A*02:06-B*40:02-C*03:06-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.23401,999
 64  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 65  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 66  A*02:01:01-B*40:02:01-C*03:05-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 67  A*02:06:01-B*40:02:01-C*03:05-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 68  A*02:13-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.14651,463
 69  A*02-B*40:02-DRB1*08-DQB1*04  Mexico Oaxaca Rural 0.1027485
 70  A*02:01-B*40:02-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10221,463
 71  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 72  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.08901,772
 73  A*02:22-B*40:02-C*03:05-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 74  A*02:22-B*40:02-C*01:10-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.05131,463
 75  A*02:01-B*40:02-C*03:06-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 76  A*02:11-B*40:02-C*03:05-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 77  A*02:22-B*40:02-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 78  A*02:01-B*40:02-C*02:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 79  A*02:22-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 80  A*02:17-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03361,463
 81  A*02:01:01:01-B*40:02:01-C*03:04:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 82  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 83  A*02:06-B*40:02-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 84  A*02:01-B*40:02-C*02:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.01163,456,066
 85  A*02:01-B*40:02-C*03:03-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 86  A*02:01-B*40:02-C*15:02-DRB1*08:06-DQB1*04:02  USA African American pop 4 0.01102,411
 87  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 88  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.007923,595

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).




   

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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