Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 204) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24-B*35-DRB1*04:05  Malaysia Sarawak Iban 3.900051
 2  A*68:01-B*35:03-C*04:01-DRB1*04:05-DQA1*03:03-DQB1*03:02  United Arab Emirates Abu Dhabi 1.920052
 3  A*68:01:01-B*35:01:01-DRB1*04:05:01  Cape Verde Northwestern Islands 1.600062
 4  A*03:01:01-B*35:01:01-DRB1*04:05:01  Guinea Bissau 1.500065
 5  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:04  Costa Rica Amerindians (G) 1.2239125
 6  A*02:01-B*35:01-C*04:01-DRB1*04:05-DQB1*03:02-DPB1*04:02  Panama 0.9500462
 7  A*02:22:01-B*35:01:01-C*04:01:01-DRB1*04:05:04  Costa Rica Amerindians (G) 0.8065125
 8  A*74:01-B*35:01-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Africa Worcester 0.6000159
 9  A*02:22:01-B*35:01:01-C*04:01:01-DRB1*04:05:04  Costa Rica Guanacaste Mestizo (G) 0.4545110
 10  A*24:02:01-B*35:01:01-C*17:01:01-DRB1*04:05:04  Costa Rica Guanacaste Mestizo (G) 0.4545110
 11  A*68:01-B*35:01-C*04:01-DRB1*04:05-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 12  B*35:01-C*04:01-DRB1*04:05-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 13  A*23:01-B*35:01-C*07:01-DRB1*04:05-DQA1*03:02-DQB1*03:01  Brazil Puyanawa 0.3333150
 14  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:04  Nicaragua Mestizo (G) 0.3226155
 15  A*11:01-B*35:08-DRB1*04:05  Israel USA Jews 0.30906,058
 16  A*02:22-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.30621,463
 17  A*31:08-B*35:08-DRB1*04:05  Israel Argentina Jews 0.26604,307
 18  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 19  A*68:03-B*35:17-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*04:01  Nicaragua Managua 0.2165339
 20  A*68:01:01-B*35:03:01-C*04:01:01-DRB1*04:05-DQB1*03:02:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.200328,927
 21  A*24-B*35-DRB1*04:05  Chile Santiago 0.1974920
 22  A*02:22-B*35:01-C*03:04-DRB1*04:05-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 23  A*02:22-B*35:01-C*04:01-DRB1*04:05-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 24  A*11:01-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.188018,604
 25  A*24:02-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.183018,604
 26  A*02:01-B*35:01-DRB1*04:05-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 27  A*24:02-B*35:01-DRB1*04:05-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 28  A*68:01:01-B*35:03:01-C*04:01:01-DRB1*04:05-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.130728,927
 29  A*11:01-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 30  A*68:02-B*35:01-DRB1*04:05  Israel Ethiopia Jews 0.12405,928
 31  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1150221
 32  A*24:14-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 33  A*68:01-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 34  A*24:02-B*35:03-C*04:01-DRB1*04:05  Italy pop 5 0.1000975
 35  A*68:01:01-B*35:03:01-C*04:01:01-DRB1*04:05-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.089528,927
 36  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:05:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.0882221
 37  A*68:02-B*35:08-DRB1*04:05  Israel Ethiopia Jews 0.08465,928
 38  A*01-B*35-DRB1*04:05-DQA1*03:01-DQB1*02:02  Brazil Paraná Caucasian 0.0780641
 39  A*02:06-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.078018,604
 40  A*23-B*35-DRB1*04:05-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 41  A*02:01-B*35:01-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 42  A*02:06-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 43  A*24:02-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 44  A*31:01-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.07003,078
 45  A*01:01-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 46  A*24:02-B*35:12-C*04:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 47  A*24:02-B*35:31-C*03:04-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 48  A*30:01-B*35:08-DRB1*04:05  Israel Libya Jews 0.05993,739
 49  A*26:01-B*35:01-C*04:01-DRB1*04:05-DQB1*03:02-DPB1*04:01  Russia Karelia 0.05651,075
 50  A*03-B*35-DRB1*04:05  Chile Santiago 0.0563920
 51  A*33:03-B*35:03-C*04:01-DRB1*04:05  Germany DKMS - Greece minority 0.05301,894
 52  A*24:02-B*35:05-C*04:31-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Malay 0.0526951
 53  A*24:07-B*35:01-C*07:04-DRB1*04:05-DQB1*04:02  Malaysia Peninsular Malay 0.0526951
 54  A*24:07-B*35:01-C*15:02-DRB1*04:05-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 55  A*24:07-B*35:05-C*04:01-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Malay 0.0526951
 56  A*02:01-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.052018,604
 57  A*03:01-B*35:03-C*04:01-DRB1*04:05  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 58  A*26:01-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.047018,604
 59  A*26:01-B*35:03-C*12:03-DRB1*04:05  Germany DKMS - Spain minority 0.04501,107
 60  A*69:01-B*35:08-C*12:03-DRB1*04:05  Germany DKMS - Spain minority 0.04501,107
 61  A*11:01-B*35:01-C*04:01-DRB1*04:05-DQB1*05:02  USA Asian pop 2 0.04401,772
 62  A*30:01-B*35:01-C*04:01-DRB1*04:05-DQB1*03:02  USA African American pop 4 0.04402,411
 63  A*31:01-B*35:01-C*04:01-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.04401,772
 64  A*11:01-B*35:08-DRB1*04:05  Israel Poland Jews 0.043313,871
 65  A*03:01-B*35:03-C*04:01-DRB1*04:05  Germany DKMS - Portugal minority 0.04301,176
 66  A*11:01-B*35:01-C*04:01-DRB1*04:05-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 67  A*24:02-B*35:02-C*04:01-DRB1*04:05-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 68  A*31:01-B*35:01-C*03:03-DRB1*04:05  Japan pop 16 0.042018,604
 69  A*68:01-B*35:03-C*04:01-DRB1*04:05  Germany DKMS - Romania minority 0.04101,234
 70  A*24:02-B*35:01-C*03:03-DRB1*04:05  Germany DKMS - China minority 0.03901,282
 71  A*31:01-B*35:01-C*04:01-DRB1*04:05  Japan pop 16 0.037018,604
 72  A*68-B*35-DRB1*04:05  Chile Santiago 0.0366920
 73  A*02:01-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03551,463
 74  A*01:01-B*35:31-C*03:04-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 75  A*01:01-B*35:43-C*01:02-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 76  A*02:01-B*35:31-C*03:04-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 77  A*24:142-B*35:43-C*01:02-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 78  A*26:01-B*35:03-C*04:01-DRB1*04:05-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 79  A*03:01-B*35:03-C*04:01-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 80  A*11:01-B*35:01-C*04:01-DRB1*04:05-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 81  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03405,266
 82  A*02:01-B*35:08-DRB1*04:05  Israel Argentina Jews 0.03344,307
 83  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 84  A*11:01:01-B*35:01:01-C*04:01:01:05-DRB1*04:05:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 85  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 86  A*11:01-B*35:01-C*03:03-DRB1*04:05  Hong Kong Chinese BMDR 0.03197,595
 87  A*11:01-B*35:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.03003,892
 88  A*02:01-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 89  A*02:06-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 90  A*02:06-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 91  A*02:06-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 92  A*02:06-B*35:01-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 93  A*11:01-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 94  A*24:02-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 95  A*24:20-B*35:01-C*03:04-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 96  A*26:01-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 97  A*26:01-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 98  A*31:01-B*35:01-C*03:03-DRB1*04:05-DQA1*03:01-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 99  A*31:01-B*35:01-C*04:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 100  A*11:02:01-B*35:03:01-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734

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 204) 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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional