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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 247) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*48-DRB1*04:03-DQB1*03:02  Peru Lamas City Lama 7.800083
 2  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 6.557461
 3  A*02-B*48-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 5.000030
 4  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 4.687564
 5  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Guanajuato city 4.545522
 6  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Guanajuato city 4.545522
 7  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 4.109672
 8  A*02-B*48-DRB1*04:04-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 3.333360
 9  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlaquepaque 2.564139
 10  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 2.4793121
 11  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 2.439082
 12  A*02-B*48-DRB1*04:07-DQB1*03:02  Peru Lamas City Lama 2.400083
 13  A*02-B*48-DRB1*04:11-DQB1*03:02  Peru Lamas City Lama 2.400083
 14  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 2.3810125
 15  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Guanajuato city 2.272722
 16  A*24:02-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 2.2300105
 17  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 2.222245
 18  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 2.222245
 19  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 2.222245
 20  A*24:02-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 2.2000105
 21  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Quintana Roo, Cancun 2.083348
 22  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 2.000075
 23  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 1.9737150
 24  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Zacatecas, Zacatecas city 1.785784
 25  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 1.785756
 26  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 1.7699226
 27  A*02-B*48-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 28  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 29  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Tlajomulco 1.666730
 30  A*31-B*48-DRB1*04:07-DQB1*03:02  Bolivia La Paz Aymaras 1.632087
 31  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 1.6129153
 32  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 1.546497
 33  A*02:01-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.5400105
 34  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Yucatan, Merida 1.5385192
 35  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 1.470634
 36  A*02-B*48-DRB1*04:07-DQB1*03:02  Bolivia Quechua 1.450069
 37  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 1.3889106
 38  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 1.3812181
 39  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 1.3761216
 40  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 1.369972
 41  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 1.34001,189
 42  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 1.3369187
 43  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Baja California, La Paz 1.333375
 44  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 1.3253830
 45  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 1.2903153
 46  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 1.2894348
 47  A*02-B*48-DRB1*04-DQB1*03:02  Ecuador Amazonia Mixed Ancestry 1.282139
 48  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Leon 1.282178
 49  A*24-B*48-DRB1*04-DQB1*03:02  Ecuador Amazonia Mixed Ancestry 1.282139
 50  A*31-B*48-DRB1*04-DQB1*03:02  Ecuador Amazonia Mixed Ancestry 1.282139
 51  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato, Leon 1.282178
 52  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 1.2605119
 53  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 54  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City East 1.250079
 55  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 1.2500396
 56  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 57  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro Rural 1.162843
 58  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 1.111145
 59  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 1.1092585
 60  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.0929183
 61  A*31:01-B*48:01-C*08:03-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 62  A*31:01-B*48:01-C*15:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 63  B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 1.0490143
 64  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit, Tepic 1.030997
 65  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Baja Californa, Mexicali 1.0000100
 66  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Baja California Rural 1.000050
 67  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.9709103
 68  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City South 0.961552
 69  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 70  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 71  A*31-B*48-DRB1*04:11-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 72  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.9294266
 73  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.9174216
 74  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.9174216
 75  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 0.892955
 76  A*02-B*48-DRB1*04:07-DQB1*03:02  Bolivia La Paz Aymaras 0.856087
 77  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 78  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 0.8368236
 79  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 0.8287181
 80  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 81  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.7955439
 82  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 0.7937125
 83  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.7831830
 84  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 0.781264
 85  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.7614197
 86  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.7614197
 87  A*68:01-B*48:01-C*08:03-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 88  A*68:03-B*48:01-C*08:03-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 89  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.7304751
 90  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.7229830
 91  A*24-B*48-DRB1*04:08-DQB1*03:02  Bolivia Quechua 0.720069
 92  A*31-B*48-DRB1*04:04-DQB1*03:02  Bolivia Quechua 0.720069
 93  A*31-B*48-DRB1*04:07-DQB1*03:02  Bolivia Quechua 0.720069
 94  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
 95  A*31:01:02-B*48:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 96  A*66:01:01-B*48:01:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 97  A*68:01:01-B*48:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 98  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.6944144
 99  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.67001,189
 100  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.6623150

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 247) 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.

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