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 112) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*51-DRB1*08-DQB1*04  Mexico Hidalgo, Pachuca 3.658541
 2  A*02-B*51-DRB1*08-DQB1*04  Mexico Campeche Rural 3.191547
 3  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City South 2.884652
 4  A*02-B*51-DRB1*08:02-DQB1*04:02  Bolivia Quechua 2.170069
 5  A*02-B*51-DRB1*08-DQB1*04  Mexico Baja Californa, Mexicali 2.0000100
 6  A*02-B*51-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 1.9337181
 7  A*02-B*51-DRB1*08-DQB1*04  Mexico Coahuila Rural 1.8349216
 8  A*02-B*51-DRB1*08-DQB1*04  Mexico San Luis Potosi Rural 1.724187
 9  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City North 1.5272751
 10  A*02-B*51-DRB1*08-DQB1*04  Mexico Puebla Mestizo 1.500099
 11  A*02:06-B*51:01-DRB1*08:11-DQB1*04:02  USA South Dakota Lakota Sioux 1.4000302
 12  A*02-B*51-DRB1*08-DQB1*04  Mexico Guerrero state 1.3889144
 13  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 1.3333150
 14  A*02-B*51-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.310087
 15  A*02-B*51-DRB1*08-DQA1*04:01-DQB1*04:02  Georgia Svaneti Region Svan 1.300080
 16  A*02-B*51-DRB1*08-DQB1*04  Mexico Zacatecas, Zacatecas city 1.190584
 17  A*02-B*51-DRB1*08-DQB1*04  Mexico Aguascalientes state 1.052695
 18  A*02-B*51-DRB1*08-DQB1*04  Mexico Nayarit, Tepic 1.030997
 19  A*02-B*51-DRB1*08-DQB1*04  Mexico Sonora Rural 1.0152197
 20  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City Metropolitan Area Rural 0.9868150
 21  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City Center 0.9740152
 22  A*02-B*51-DRB1*08-DQB1*04  Mexico Veracruz Rural 0.9242539
 23  A*02-B*51-DRB1*08-DQB1*04  Mexico Oaxaca Rural 0.9240485
 24  A*02-B*51-DRB1*08-DQB1*04  Mexico Veracruz, Cordoba 0.892956
 25  A*02-B*51-DRB1*08-DQB1*04  Mexico Jalisco, Zapopan 0.8929168
 26  A*02-B*51-DRB1*08-DQB1*04  Mexico Nuevo Leon, Monterrey city 0.8850226
 27  A*02-B*51-DRB1*08-DQB1*04  Mexico Chihuahua Chihuahua City 0.8403119
 28  A*02-B*51-DRB1*08-DQB1*04  Mexico Tlaxcala Rural 0.7831830
 29  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:01  Iran Gorgan 0.780064
 30  A*02-B*51-DRB1*08-DQB1*04  Mexico Puebla Rural 0.7794833
 31  A*02-B*51-DRB1*08-DQB1*04  Mexico Zacatecas Rural 0.7435266
 32  A*02-B*51-DRB1*08-DQB1*04  Mexico Sonora, Ciudad Obregón 0.6993143
 33  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
 34  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
 35  A*02-B*51-DRB1*08-DQB1*04  Mexico Jalisco Rural 0.6826585
 36  A*02-B*51-DRB1*08-DQB1*04  Mexico Nuevo Leon Rural 0.6818439
 37  A*02-B*51-DRB1*08-DQB1*04  Mexico Guanajuato, Leon 0.641078
 38  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City East 0.625079
 39  A*02-B*51-DRB1*08-DQB1*04  Mexico Hidalgo Rural 0.617381
 40  A*02:01-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 41  A*02-B*51-DRB1*08-DQB1*04  Mexico Veracruz, Veracruz city 0.5814171
 42  A*02-B*51-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.5731348
 43  A*02-B*51-DRB1*08-DQB1*04  Mexico Sonora, Hermosillo 0.505199
 44  A*02:01-B*51:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.5000105
 45  A*02-B*51-DRB1*08-DQB1*04  Mexico Zacatecas, Fresnillo 0.4762103
 46  A*02-B*51-DRB1*08-DQB1*04  Mexico Jalisco, Guadalajara city 0.46061,189
 47  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
 48  A*02:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 49  A*02-B*51-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.4248824
 50  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQA1*04:01-DQB1*04:02  Kosovo 0.4030124
 51  A*02-B*51-DRB1*08-DQB1*04  Mexico Tamaulipas Rural 0.3968125
 52  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 53  A*02-B*51-DRB1*08-DQB1*04  Mexico Coahuila, Torreon 0.3750396
 54  A*02-B*51-DRB1*08-DQB1*04  Mexico Tabasco Rural 0.3521142
 55  A*02-B*51-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.35071,994
 56  A*02-B*51-DRB1*08-DQB1*04  Mexico Oaxaca, Oaxaca city 0.3311151
 57  A*02-B*51-DRB1*08-DQB1*04  Mexico Michoacan, Morelia 0.3311150
 58  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 59  A*02-B*51-DRB1*08-DQB1*04  Ecuador Mixed Ancestry 0.29841,173
 60  A*02-B*51-DRB1*08-DQB1*04  Mexico Sinaloa Rural 0.2732183
 61  A*02-B*51-DRB1*08-DQB1*04  Mexico Veracruz, Xalapa 0.2674187
 62  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.22531,075
 63  A*02-B*51-DRB1*08-DQB1*04  Mexico Chihuahua Rural 0.2092236
 64  A*02:01-B*51:01-C*14:02:01-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 65  A*02:01-B*51:01-C*04:01-DRB1*08:11-DQB1*04:02-DPB1*11:01  Panama 0.1900462
 66  A*02:01-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 67  A*02:01-B*51:01-C*16:01-DRB1*08:01-DQB1*04:02  Italy pop 5 0.1400975
 68  A*02:06-B*51:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 69  A*02:01-B*51:10-C*15:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 70  A*02-B*51-C*14-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.13131,743
 71  A*02:01-B*51:01-C*02:02-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 72  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 73  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.089323,595
 74  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.08601,159
 75  A*02:13-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.07721,463
 76  A*02:22-B*51:01-C*02:02-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 77  A*02:01-B*51:01-C*01:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 78  A*02:01:01:01-B*51:01:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 79  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.06233,456,066
 80  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.05651,075
 81  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.04833,456,066
 82  A*02:06-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 83  A*02:13-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 84  A*02:01-B*51:01-C*04:01-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.04301,159
 85  A*02:01-B*51:02-C*15:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.04301,772
 86  A*02:01-B*51:01-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 87  A*02:01-B*51:01-C*04:01-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 88  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.03304,856
 89  A*02-B*51-C*16-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 90  A*02:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 91  A*02:06-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 92  A*02:06-B*51:02-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 93  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.023023,595
 94  A*02:01-B*51:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.02183,456,066
 95  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.018823,595
 96  A*02:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.017511,446
 97  A*02:01-B*51:01-C*14:02-DRB1*08:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01304,856
 98  A*02:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 99  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*02:01  Germany DKMS - German donors 0.01063,456,066
 100  A*02:11-B*51:01-C*14:02-DRB1*08:04-DQB1*04:02  India Tamil Nadu 0.01002,492

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 112) records   Pages: 1 2 of 2  


   

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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