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 100 (from 302) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City West 5.882433
 2  A*24-B*39:05-DRB1*14:02-DQA1*05:01-DQB1*03:01  Colombia Jaidukama 5.800039
 3  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City South 4.807752
 4  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Puebla Rural 4.4964833
 5  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Poza Rica 4.444445
 6  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Quintana Roo, Cancun 4.166748
 7  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Baja California, Tijuana 4.000025
 8  A*02-B*39-DRB1*14:02-DQB1*03:01  Peru Lamas City Lama 3.600083
 9  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Cordoba 3.571456
 10  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Cordoba 3.571456
 11  B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo pop 2 3.4200234
 12  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Colima Rural 3.409143
 13  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco, Tlajomulco 3.333330
 14  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 3.3149181
 15  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City East 3.125079
 16  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Nayarit, Tepic 3.092897
 17  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Oaxaca, Oaxaca city 2.9801151
 18  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City Center 2.9221152
 19  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 2.7721485
 20  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 2.7711830
 21  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 2.60521,994
 22  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo pop 2 2.5600234
 23  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Orizaba 2.500060
 24  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Colima, Colima city 2.459061
 25  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas, Zacatecas city 2.381084
 26  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Nayarit Rural 2.343864
 27  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Veracruz city 2.3256171
 28  A*02:01-B*39:09-DRB1*14:02-DQB1*03:01  Chile Mapuche 2.310066
 29  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Guanajuato, Guanajuato city 2.272722
 30  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Coahuila, Torreon 2.2500396
 31  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 2.2305266
 32  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Queretaro, Queretaro city 2.222245
 33  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 2.1008119
 34  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Sonora Rural 2.0305197
 35  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Quintana Roo Rural 2.000050
 36  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Baja Californa, Mexicali 2.0000100
 37  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Michoacan, Morelia 1.9868150
 38  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Tamaulipas Rural 1.9841125
 39  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 1.9737150
 40  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Sinaloa Rural 1.9126183
 41  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 1.886852
 42  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Xalapa 1.8717187
 43  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Yucatan Rural 1.8657132
 44  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 1.8519106
 45  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Hidalgo Rural 1.851981
 46  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Coahuila Rural 1.8349216
 47  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Morelos, Cuernavaca 1.829382
 48  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Yucatan, Merida 1.7949192
 49  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco, Zapopan 1.7857168
 50  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco, Guadalajara city 1.75881,189
 51  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Sonora, Ciudad Obregón 1.7483143
 52  A*24-B*39-DRB1*14-DQB1*03:01  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 53  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City North 1.6600751
 54  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Michoacan Rural 1.5759348
 55  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 1.5663830
 56  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Nayarit Rural 1.562564
 57  A*68:01-B*39:01-DRB1*14:02-DQB1*03:01  Chile Mapuche 1.540066
 58  A*68:01-B*39:09-DRB1*14:02-DQB1*03:01  Chile Mapuche 1.540066
 59  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Durango Rural 1.5291326
 60  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Campeche, Campeche city 1.470634
 61  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Campeche, Campeche city 1.470634
 62  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 63  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Tabasco Rural 1.4085142
 64  B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 1.3986143
 65  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City North 1.3944751
 66  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 67  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 1.3889106
 68  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 1.3812181
 69  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 1.3812181
 70  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Xalapa 1.3369187
 71  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Baja California, La Paz 1.333375
 72  A*68-B*39-DRB1*14:02-DQB1*03:01  Bolivia La Paz Aymaras 1.310087
 73  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 1.3011266
 74  A*02-B*39-DRB1*14-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 75  A*24-B*39-DRB1*14-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 76  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Hidalgo Rural 1.234681
 77  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 1.2320485
 78  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Guanajuato Rural 1.2270162
 79  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 80  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 81  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 82  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco Rural 1.1945585
 83  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco, Zapopan 1.1905168
 84  A*31-B*39-DRB1*14-DQB1*03:01  Mexico San Luis Potosi Rural 1.149487
 85  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Colima Rural 1.136443
 86  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Poza Rica 1.111145
 87  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Queretaro, Queretaro city 1.111145
 88  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 1.1062226
 89  A*02-B*39-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 1.0922824
 90  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 1.07721,994
 91  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Xalapa 1.0695187
 92  A*24:02-B*39:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 93  A*24:02-B*39:05-C*07:02-DRB1*14:02-DQA1*05:01-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 94  A*24:02-B*39:06-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 95  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Campeche Rural 1.063847
 96  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Tabasco Rural 1.0563142
 97  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Aguascalientes state 1.052695
 98  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Aguascalientes state 1.052695
 99  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Aguascalientes state 1.052695
 100  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco Rural 1.0239585

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 302) 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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