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 222) records   Pages: 1 2 3 of 3  

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  A*30:02-B*18:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 6  B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 1.3986143
 7  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 1.0490143
 8  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Italy pop 5 1.0300975
 9  B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Ireland South 1.0000250
 10  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia North Wiwa El Encanto 0.961552
 11  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.95531,463
 12  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.94901,159
 13  A*24:02-B*18:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 0.833360
 14  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.78801,999
 15  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
 16  A*01:01:01-B*18:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 17  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
 18  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
 19  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.6400234
 20  B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.6400234
 21  A*30:01-B*18:01-DRB1*03:01-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 22  A*24:314-B*18:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:04-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 23  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.5700462
 24  A*02:01-B*18:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 25  A*30:01-B*18:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 26  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
 27  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
 28  A*30:02-B*18:01-C*05:01-DRB1*03:01:01-DQB1*02:01  England North West 0.5000298
 29  A*32:01-B*18:01-C*17:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 30  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
 31  A*02:07:01-B*18:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Vietnam Kinh 0.4950101
 32  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
 33  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.47904,335
 34  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
 35  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
 36  A*02:02-B*18:01-C*07:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 37  A*24:02-B*18:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 38  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
 39  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Panama 0.3800462
 40  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
 41  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
 42  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
 43  A*30:02:01-B*18:01:01-C*07:04:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 0.3520142
 44  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 45  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.34341,463
 46  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
 47  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.29401,159
 48  A*32:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.2900975
 49  A*32:01:01-B*18:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 50  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.265914,339
 51  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
 52  A*30:02:01:01-B*18:01:01:01-C*06:02:01-DRB1*03:01:01:02-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 53  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.249614,339
 54  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
 55  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 56  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
 57  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
 58  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
 59  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.1939221
 60  A*11:01-B*18:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Panama 0.1900462
 61  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.18701,999
 62  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.18701,999
 63  A*11:01-B*18:01-C*12:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 64  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
 65  A*31:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.17301,159
 66  A*11:01-B*18:01-C*04:01-DRB1*03:01-DQB1*02:01  India Northeast UCBB 0.1689296
 67  A*24:02-B*18:01-C*07:91-DRB1*03:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 68  A*02:01-B*18:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 69  A*11:04-B*18:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 70  A*26:01-B*18:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 71  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
 72  A*31:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 73  A*01:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 74  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.13102,411
 75  A*02:01-B*18:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.13001,159
 76  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
 77  A*02:01-B*18:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.11301,075
 78  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
 79  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.10431,075
 80  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 81  A*31:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 82  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
 83  A*11:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10251,463
 84  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
 85  A*24:26-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 86  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.084623,595
 87  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
 88  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP African 0.074328,557
 89  A*32:01-B*18:01-C*07:01-DRB1*03:01-DQB1*02:01  India Central UCBB 0.07144,204
 90  A*02:01-B*18:01-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 91  A*33:03-B*18:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 92  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 93  A*11:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 94  A*26:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 95  A*32:01-B*18:01-C*07:01-DRB1*03:01-DQB1*02:01  India East UCBB 0.06242,403
 96  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
 97  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05731,075
 98  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
 99  A*02:01-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01-DPB1*09:01  Russia Karelia 0.05641,075
 100  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.05001,159

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 222) 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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