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 185) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 3.3333150
 2  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 2.5600215
 3  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Tunisia 2.0000100
 4  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 1.74404,335
 5  B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 1.3986143
 6  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 1.0490143
 7  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Italy pop 5 1.0300975
 8  B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Ireland South 1.0000250
 9  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia North Wiwa El Encanto 0.961552
 10  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.95531,463
 11  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.94901,159
 12  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.78801,999
 13  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Mexican or Chicano 0.6992261,235
 14  A*24:02:01-B*40:01:05-C*05:01:01-DRB1*03:01:01-DQB1*02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 15  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 16  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Hispanic South or Central American 0.6762146,714
 17  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.6400234
 18  B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.6400234
 19  A*30:02:01-B*51:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 20  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.5700462
 21  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Diego 0.5210496
 22  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.52085,926
 23  A*30:02-B*18:01-C*05:01-DRB1*03:01:01-DQB1*02:01  England North West 0.5000298
 24  A*74:03-B*18:01-C*05:01-DRB1*03:01-DQA1*01:01-DQB1*02:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 25  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Caribean Hispanic 0.4848115,374
 26  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.47904,335
 27  A*24:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 28  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 29  A*03:01-B*08:01-C*05:01-E*01:01:01-F*01:01:02-G*01:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 30  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
 31  A*26:01:01-B*40:01:02-C*05:01:01-DRB1*03:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 32  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 33  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Panama 0.3800462
 34  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP North American Amerindian 0.373235,791
 35  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP European Caucasian 0.35241,242,890
 36  A*02:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*18:01  South African Black 0.3520142
 37  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 38  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.34341,463
 39  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 40  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.29401,159
 41  A*32:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.2900975
 42  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.265914,339
 43  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.26355,926
 44  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.249614,339
 45  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.247370,890
 46  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 47  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 48  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 49  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
 50  A*23:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 51  A*02:01-B*15:03-C*05:01-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 52  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 53  A*01:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Panama 0.1900462
 54  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.18701,999
 55  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.18701,999
 56  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP Black South or Central American 0.17724,889
 57  A*31:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.17301,159
 58  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Caribean Black 0.143133,328
 59  A*31:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 60  A*01:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 61  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.13102,411
 62  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Germany DKMS - German donors 0.12783,456,066
 63  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP Black South or Central American 0.11174,889
 64  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.10431,075
 65  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 66  A*31:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 67  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP African American pop 2 0.1026416,581
 68  A*11:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10251,463
 69  A*03:01:01-B*18:01:01-C*05:01:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.09721,510
 70  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.07931,075
 71  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.077423,595
 72  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
 73  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP African 0.074328,557
 74  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 75  A*11:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 76  A*26:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 77  A*03:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.062223,595
 78  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05731,075
 79  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.05673,456,066
 80  A*01:01-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.05621,075
 81  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05601,075
 82  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.05401,999
 83  A*02:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.05001,772
 84  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.05001,159
 85  A*29:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 86  A*68:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 87  A*01:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 88  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 89  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 90  A*11:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04401,159
 91  A*25:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 92  A*30:02-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 93  A*32:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 94  A*01:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 95  A*32:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 96  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04104,856
 97  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.04013,456,066
 98  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.03763,456,066
 99  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.03593,456,066
 100  A*32:01-B*44:02-C*05:01-DRB1*03:01-DQB1*02:01  India Central UCBB 0.03574,204

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 185) 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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