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 316) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*31:01:02-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 4.600044
 2  A*02-B*51-DRB1*08-DQB1*04  Mexico Hidalgo, Pachuca 3.658541
 3  A*68:01-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 4  A*02-B*51-DRB1*08-DQB1*04  Mexico Campeche Rural 3.191547
 5  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City South 2.884652
 6  A*24-B*51-DRB1*08-DQB1*04  Mexico Mexico City South 2.884652
 7  A*31:01:02-B*51:01-DRB1*08:11-DQB1*04:02  USA South Dakota Lakota Sioux 2.2000302
 8  A*02-B*51-DRB1*08:02-DQB1*04:02  Bolivia Quechua 2.170069
 9  A*68-B*51-DRB1*08-DQB1*04  Mexico Coahuila, Saltillo 2.054872
 10  A*02-B*51-DRB1*08-DQB1*04  Mexico Baja Californa, Mexicali 2.0000100
 11  A*02-B*51-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 1.9337181
 12  A*02-B*51-DRB1*08-DQB1*04  Mexico Coahuila Rural 1.8349216
 13  A*02-B*51-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 1.724187
 14  A*24:02-B*51:01-DRB1*08:01-DQB1*04:01  Iran Kurd pop 2 1.700060
 15  A*31-B*51-DRB1*08-DQB1*04  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 16  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City North 1.5272751
 17  A*02-B*51-DRB1*08-DQB1*04  Mexico Puebla Mestizo 1.500099
 18  A*31-B*51-DRB1*08-DQB1*04  Mexico Jalisco, Tonala 1.428635
 19  A*02:06-B*51:01-DRB1*08:11-DQB1*04:02  USA South Dakota Lakota Sioux 1.4000302
 20  A*02-B*51-DRB1*08-DQB1*04  Mexico Guerrero state 1.3889144
 21  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 1.3333150
 22  A*02-B*51-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.310087
 23  A*02-B*51-DRB1*08-DQA1*04:01-DQB1*04:02  Georgia Svaneti Region Svan 1.300080
 24  A*24-B*51-DRB1*08-DQB1*04  Ecuador Amazonia Mixed Ancestry 1.282139
 25  A*02-B*51-DRB1*08-DQB1*04  Mexico Zacatecas, Zacatecas city 1.190584
 26  A*03-B*51-DRB1*08-DQB1*04  Mexico Queretaro Rural 1.162843
 27  A*24-B*51-DRB1*08-DQB1*04  Mexico Coahuila Rural 1.1468216
 28  A*24-B*51-DRB1*08-DQB1*04  Mexico Queretaro, Queretaro city 1.111145
 29  A*02-B*51-DRB1*08-DQB1*04  Mexico Aguascalientes state 1.052695
 30  A*74-B*51-DRB1*08-DQB1*04  Mexico Quintana Roo, Cancun 1.041748
 31  A*02-B*51-DRB1*08-DQB1*04  Mexico Nayarit, Tepic 1.030997
 32  A*02-B*51-DRB1*08-DQB1*04  Mexico Sonora Rural 1.0152197
 33  A*31-B*51-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 1.010199
 34  A*03-B*51-DRB1*08-DQB1*04  Mexico Quintana Roo Rural 1.000050
 35  A*68-B*51-DRB1*08-DQB1*04  Mexico Baja California Rural 1.000050
 36  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City Metropolitan Area Rural 0.9868150
 37  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City Center 0.9740152
 38  A*24-B*51-DRB1*08-DQB1*04  Mexico Mexico City Center 0.9740152
 39  A*24-B*51-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 0.9524103
 40  A*02-B*51-DRB1*08-DQB1*04  Mexico Veracruz Rural 0.9242539
 41  A*02-B*51-DRB1*08-DQB1*04  Mexico Oaxaca Rural 0.9240485
 42  A*02-B*51-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 0.892956
 43  A*02-B*51-DRB1*08-DQB1*04  Mexico Jalisco, Zapopan 0.8929168
 44  A*03:01-B*51:01-DRB1*08:01-DQB1*04:01  Iran Yazd 0.892956
 45  A*24:02-B*51:01-DRB1*08:01-DQB1*04:01  Iran Yazd 0.892956
 46  A*02-B*51-DRB1*08-DQB1*04  Mexico Nuevo Leon, Monterrey city 0.8850226
 47  B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 48  A*24-B*51-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 0.858087
 49  A*02-B*51-DRB1*08-DQB1*04  Mexico Chihuahua Chihuahua City 0.8403119
 50  A*24-B*51-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 0.8287181
 51  A*02-B*51-DRB1*08-DQB1*04  Mexico Tlaxcala Rural 0.7831830
 52  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:01  Iran Gorgan 0.780064
 53  A*66-B*51-C*17:01-DRB1*08-DQB1*04  Russia North Ossetian 0.7800127
 54  A*02-B*51-DRB1*08-DQB1*04  Mexico Puebla Rural 0.7794833
 55  A*03:01-B*51:01-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 56  A*24-B*51-DRB1*08-DQB1*04  Mexico Coahuila, Torreon 0.7500396
 57  A*02-B*51-DRB1*08-DQB1*04  Mexico Zacatecas Rural 0.7435266
 58  A*02-B*51-DRB1*08-DQB1*04  Mexico Sonora, Ciudad Obregón 0.6993143
 59  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 60  A*02:01:01-B*51:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 61  A*02-B*51-DRB1*08-DQB1*04  Mexico Jalisco Rural 0.6826585
 62  A*02-B*51-DRB1*08-DQB1*04  Mexico Nuevo Leon Rural 0.6818439
 63  A*68-B*51-DRB1*08-DQB1*04  Mexico Baja California, La Paz 0.666775
 64  A*68-B*51-DRB1*08-DQB1*04  Mexico Oaxaca, Oaxaca city 0.6623151
 65  A*24-B*51-DRB1*08-DQB1*04  Mexico Mexico City Metropolitan Area Rural 0.6579150
 66  A*24-B*51-DRB1*08-DQB1*04  Mexico Durango, Durango city 0.6452153
 67  A*02-B*51-DRB1*08-DQB1*04  Mexico Guanajuato, Leon 0.641078
 68  A*24-B*51-DRB1*08-DQB1*04  Mexico Guanajuato, Leon 0.641078
 69  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City East 0.625079
 70  A*02-B*51-DRB1*08-DQB1*04  Mexico Hidalgo Rural 0.617381
 71  A*31-B*51-DRB1*08-DQB1*04  Mexico Morelos, Cuernavaca 0.609882
 72  A*68-B*51-DRB1*08-DQB1*04  Mexico Morelos, Cuernavaca 0.609882
 73  A*02:01-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 74  A*03:01-B*51:01-DRB1*08:01-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 75  A*03:01-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 76  A*02-B*51-DRB1*08-DQB1*04  Mexico Veracruz, Veracruz city 0.5814171
 77  A*02-B*51-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.5731348
 78  A*24:02-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 79  A*24:02-B*51:01-DRB1*08:01-DQB1*04:01  Iran Tabriz Azeris 0.515597
 80  A*68-B*51-DRB1*08-DQB1*04  Mexico Yucatan, Merida 0.5128192
 81  A*68-B*51-C*04-DRB1*08-DQB1*04  Sudan Khartoum 0.510098
 82  A*24-B*51-DRB1*08-DQB1*04  Mexico Sonora Rural 0.5076197
 83  A*02-B*51-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 0.505199
 84  A*02:01-B*51:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.5000105
 85  A*68-B*51-DRB1*08-DQB1*04  Mexico Sinaloa, Culiacán 0.4854103
 86  A*02-B*51-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 0.4762103
 87  A*03-B*51-DRB1*08-DQB1*04  Mexico Chihuahua, Ciudad Juarez 0.4630106
 88  A*31-B*51-DRB1*08-DQB1*04  Mexico Chihuahua, Ciudad Juarez 0.4630106
 89  A*02-B*51-DRB1*08-DQB1*04  Mexico Jalisco, Guadalajara city 0.46061,189
 90  A*24-B*51-DRB1*08-DQB1*04  Mexico Durango Rural 0.4587326
 91  A*24-B*51-DRB1*08-DQB1*04  Mexico Nuevo Leon, Monterrey city 0.4425226
 92  A*02:01-B*51:01-C*14:02-E*01:03:01-F*01:01:01-G*01:01-DRB1*08:01-DQA1*04:01-DQB1*04:02  Portugal Azores Terceira Island 0.4386130
 93  B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 94  A*02:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 95  A*02-B*51-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.4248824
 96  A*24-B*51-DRB1*08-DQB1*04  Mexico Chihuahua Rural 0.4184236
 97  A*26-B*51-DRB1*08-DQB1*04  Mexico Chiapas Rural 0.4132121
 98  A*68-B*51-DRB1*08-DQB1*04  Mexico Chiapas Rural 0.4132121
 99  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQA1*04:01-DQB1*04:02  Kosovo 0.4030124
 100  A*02-B*51-DRB1*08-DQB1*04  Mexico Tamaulipas Rural 0.3968125

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 316) 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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