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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Displaying 1 to 100 (from 205) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*44-DRB1*03:01-DQB1*02  Spain Arratia Valley Basque 3.300083
 2  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Campeche, Campeche city 2.941234
 3  A*02-B*44-DRB1*03:01-DQB1*02:01  Tunisia Ghannouch 2.400082
 4  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Nayarit Rural 1.562564
 5  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Zacatecas, Fresnillo 1.4286103
 6  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Hidalgo, Pachuca 1.219541
 7  A*02-B*44-DRB1*03:01-DQB1*02  Spain North Cantabria 1.200083
 8  A*23-B*44-DRB1*03:01-DQB1*02  Mexico Queretaro Rural 1.162843
 9  A*11-B*44-DRB1*03:01-DQB1*02  Mexico Colima Rural 1.136443
 10  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Quintana Roo, Cancun 1.041748
 11  A*24:02-B*44:02-DRB1*03:01-DQB1*02:01  Iran Yazd 0.892956
 12  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Coahuila, Saltillo 0.684972
 13  A*02-B*44-DRB1*03:01-DQB1*02  Ecuador Coast Mixed Ancestry 0.6303238
 14  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Hidalgo Rural 0.617381
 15  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 16  A*23-B*44-DRB1*03:01-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 17  A*11-B*44-DRB1*03:01-DQB1*02  Mexico Nayarit, Tepic 0.515597
 18  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Sonora, Hermosillo 0.505199
 19  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Mexico City North 0.4648751
 20  A*68:01-B*44:03-C*07:01-E*01:03:01-F*01:01:01-G*01:06-DRB1*03:01-DQA1*01:01-DQB1*02:03  Portugal Azores Terceira Island 0.4386130
 21  A*24:02-B*44:02-C*05:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.4329339
 22  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Michoacan Rural 0.4298348
 23  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Tamaulipas Rural 0.3968125
 24  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Tabasco Rural 0.3521142
 25  A*24-B*44-C*05:01-DRB1*03:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 26  A*02:01:01-B*44:02:01-C*03:04-DRB1*03:01:01-DQA1*04:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:02  Russia Belgorod region 0.3268153
 27  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 28  A*02-B*44-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.3120641
 29  A*29:01-B*44:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.3030330
 30  A*33-B*44-DRB1*03:01-DQB1*02  Mexico Jalisco, Zapopan 0.2976168
 31  A*24:02:01-B*44:03:01-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.2870174
 32  A*26:01:01-B*44:02:01:01-C*03:03:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 33  A*11-B*44-DRB1*03:01-DQB1*02  Mexico Jalisco Rural 0.2560585
 34  A*02-B*44-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.25581,173
 35  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 36  A*02:01:01-B*44:03:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 37  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 38  A*32:01:01-B*44:05-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 39  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Coahuila Rural 0.2294216
 40  A*30-B*44-DRB1*03:01-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 41  A*66:01-B*44:02-C*12:03-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 42  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 43  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 44  A*01:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Panama 0.1900462
 45  A*03:01-B*44:02-C*15:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 46  A*02:01-B*44:03-C*12:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 47  A*24:07-B*44:03-C*07:02-DRB1*03:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 48  A*02-B*44-DRB1*03:01-DQB1*02  Ecuador Andes Mixed Ancestry 0.1820824
 49  A*30:04-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 50  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.1529326
 51  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Durango Rural 0.1529326
 52  A*01:01-B*44:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 53  A*24:02-B*44:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 54  A*23-B*44-DRB1*03:01-DQB1*02  Mexico Michoacan Rural 0.1433348
 55  A*29:02-B*44:03-C*16:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 56  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.12561,189
 57  A*29-B*44-DRB1*03:01-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 58  A*23-B*44-DRB1*03:01-DQB1*02  Mexico Tlaxcala Rural 0.1205830
 59  A*23:01-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.10001,999
 60  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Jalisco Rural 0.0853585
 61  A*68:01-B*44:03-C*07:06-DRB1*03:01-DQB1*02:01  India North UCBB 0.07965,849
 62  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.07931,075
 63  A*23-B*44-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 64  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.076723,595
 65  A*33:03-B*44:03-C*07:06-DRB1*03:01-DQB1*02:01  India South UCBB 0.068611,446
 66  A*29:02-B*44:03-C*16:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 67  A*32:01-B*44:03-C*16:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 68  A*23:01-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.06104,856
 69  A*24-B*44-DRB1*03:01-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 70  A*29-B*44-DRB1*03:01-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 71  A*23:01-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.05641,075
 72  A*26:01-B*44:02-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05641,075
 73  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05601,075
 74  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.05401,999
 75  A*11:01-B*44:03-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 76  A*24:10-B*44:03-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 77  A*33:01-B*44:03-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 78  A*33:01-B*44:03-C*07:01-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 79  A*68:01-B*44:03-C*07:06-DRB1*03:01-DQB1*02:01  India West UCBB 0.05025,829
 80  A*33-B*44-DRB1*03:01-DQB1*02  Mexico Puebla, Puebla city 0.05011,994
 81  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.05001,772
 82  A*02:01-B*44:05-C*02:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 83  A*01:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 84  A*25:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 85  A*26:01-B*44:03-C*14:03-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 86  A*66:02-B*44:18-C*06:02-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 87  A*74:01-B*44:03-C*02:02-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 88  A*01:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 89  A*02:01-B*44:21-C*15:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 90  A*03:02-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 91  A*29:02-B*44:03-C*16:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 92  A*24-B*44-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 93  A*29-B*44-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 94  A*30-B*44-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 95  A*33:03-B*44:03-C*07:06-DRB1*03:01-DQB1*02:01  India West UCBB 0.04255,829
 96  A*02-B*44-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 97  A*23-B*44-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 98  A*26-B*44-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.04191,189
 99  A*03:01-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04104,856
 100  A*68:01-B*44:03-C*07:06-DRB1*03:01-DQB1*02:01  India Central UCBB 0.03794,204

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 205) 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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