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 220) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*02:01:01-DPB1*01:01:01  Ecuador African 33.600058
 2  DPA1*02:01:01-DPB1*01:01:01  Gambia 17.1000146
 3  DPA1*02:02:02-DPB1*01:01:01  Uganda Baganda 16.000047
 4  DPA1*02:02:02-DPB1*01:01:01  Ecuador African 13.800058
 5  DRB1*15:02:01-DPB1*01:01:01  Taiwan Orchid Island Yami 13.300050
 6  DPA1*02:02:02-DPB1*01:01:01  Gambia 11.0000146
 7  DPA1*02:01:01-DPB1*01:01:01  Uganda Baganda 10.600047
 8  DPA1*02:02:02-DPB1*01:01:01  Cameroon Saa 9.6000172
 9  DRB1*11:01:01-DPB1*01:01:01  Taiwan Orchid Island Yami 8.000050
 10  DPA1*02:01:01-DPB1*01:01:01  Cameroon Saa 7.6000172
 11  DPA1*02:02:02-DPB1*01:01:01  India Bombay 4.200059
 12  DPA1*02:01:02-DPB1*01:01:01  France Ceph 3.2000124
 13  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 2.4650142
 14  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 15  A*02:01:01-B*81:01:01-C*08:04:01-DRB1*11:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 16  A*03:01:01-B*07:02:01-C*06:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 17  A*03:01:01-B*08:01:01-C*07:06:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 18  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*03:01:01-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 19  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 1.7610142
 20  DPA1*02:01:01-DPB1*01:01:01  India Bombay 1.700059
 21  A*03:01:01-B*14:02:01-C*17:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 22  A*23:01:01-B*42:01:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 23  A*23:01:01-B*50:01:01-C*02:10:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 24  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 25  A*23:17:01-B*15:03:01-C*07:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 26  A*30:01:01-B*38:01:01-C*17:01:01-DRB1*03:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 27  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 28  A*30:02:01-B*37:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 29  A*74:01:01-B*42:01:01-C*17:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 30  A*02:01:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 1.4080142
 31  DPA1*02:01:01-DPB1*01:01:01  Papua New Guinea Highland pop2 1.300028
 32  A*32:01:01-B*42:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 1.1765170
 33  DPA1*03:01-DPB1*01:01:01  Uganda Baganda 1.100047
 34  A*34:02:01-B*08:01:01-C*07:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 1.0560142
 35  DPA1*02:01:02-DPB1*01:01:01  Gambia 1.0000146
 36  DPA1*02:02:01-DPB1*01:01:01  Gambia 1.0000146
 37  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 38  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.8403119
 39  A*23:17-B*41:01:01-C*17:01:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*01:01:01  South African Black 0.7040142
 40  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.7040142
 41  A*43:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.7040142
 42  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:07:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 43  A*01:01:01-B*14:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 44  A*01:01:01-B*44:03:02-C*15:13:01-DRB1*04:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 45  A*02:01:01-B*15:04:01-C*02:10:01-DRB1*14:54:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 46  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 47  A*02:01:01-B*42:01:01-C*16:01:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 48  A*03:01:01-B*58:01:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 49  A*11:01:01-B*27:02:01-C*02:02:02-DRB1*08:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 50  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 51  A*23:01:01-B*42:01:01-C*17:01:01-DRB1*11:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 52  A*26:01:01-B*15:10:01-C*03:04:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 53  A*30:02:01-B*53:01:01-C*07:18:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 54  A*33:01:01-B*15:03:01-C*03:03:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 55  A*33:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 56  A*66:02-B*58:01:01-C*07:18:01-DRB1*15:03:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 57  A*68:02:01-B*13:02:01-C*08:04:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 58  A*68:02:01-B*53:01:01-C*02:02:02-DRB1*03:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 59  A*74:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 60  A*74:01:01-B*15:10:01-C*02:10:01-DRB1*13:02:01-DQB1*02:01:01-DPA1*03:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 61  A*74:01:01-B*50:01:01-C*06:02:01-DRB1*16:02:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 62  A*74:01:01-B*53:01:01-C*04:01:01-DRB1*15:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 63  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*02:01:02-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 64  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 65  A*02:01:01-B*13:02:01-C*02:02:02-DRB1*07:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 66  A*02:01:01-B*44:05:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01-DQB1*03:03:02-DPA1*02:01:02-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 67  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 68  A*02:01:01-B*15:10:01-C*03:04:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 69  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 70  A*01:01:01-B*15:10:01-C*03:04:02-DRB1*04:01:01-DQB1*03:02:01-DPB1*01:01:01  South African Black 0.3520142
 71  A*01:01:01-B*58:02:01-C*06:02:01-DRB1*14:54:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 72  A*02:01:01-B*08:01:01-C*07:18-DRB1*10:01:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 73  A*02:01:01-B*14:02:01-C*03:04:01-DRB1*13:03:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 74  A*02:01:01-B*15:03:01-C*04:01:01-DRB1*08:04:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 75  A*02:01:01-B*15:03:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 76  A*02:01:01-B*15:10:01-C*06:02:01-DRB1*15:03:01-DQB1*03:01:01-DPB1*01:01:01  South African Black 0.3520142
 77  A*02:01:01-B*44:03:02-C*07:06:01-DRB1*04:01:01-DQB1*06:09:01-DPB1*01:01:01  South African Black 0.3520142
 78  A*02:02:01-B*15:16:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*01:01:01  South African Black 0.3520142
 79  A*02:02:01-B*53:01:01-C*02:10:01-DRB1*01:02:01-DQB1*03:01:01-DPB1*01:01:01  South African Black 0.3520142
 80  A*02:05:01-B*15:10:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 81  A*02:05:01-B*39:10:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 82  A*02:05:01-B*39:10:01-C*18:02-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 83  A*02:05:01-B*81:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01  South African Black 0.3520142
 84  A*03:01:01-B*39:10:01-C*12:03:01-DRB1*15:03:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 85  A*03:01:01-B*44:03:02-C*07:06:01-DRB1*11:01:02-DQB1*02:02:01-DPB1*01:01:01  South African Black 0.3520142
 86  A*03:01:01-B*49:01:01-C*07:01:02-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 87  A*03:01:01-B*81:01-C*04:01:01-DRB1*08:04:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 88  A*23:01:01-B*15:03:01-C*07:01:01-DRB1*10:01:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 89  A*23:01:01-B*53:01:01-C*18:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 90  A*23:17-B*15:01:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 91  A*23:17-B*18:01:01-C*02:02:02-DRB1*13:02:01-DQB1*02:02:01-DPB1*01:01:01  South African Black 0.3520142
 92  A*29:02:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 93  A*29:11-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 94  A*29:11-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 95  A*30:01:01-B*08:01:01-C*07:01:01-DRB1*07:01:01-DQB1*06:04:01-DPB1*01:01:01  South African Black 0.3520142
 96  A*30:01:01-B*08:01:01-C*07:01:01-DRB1*08:04:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 97  A*30:01:01-B*14:01:01-C*02:10:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 98  A*30:01:01-B*18:01:01-C*02:02:02-DRB1*07:01:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 99  A*30:01:01-B*18:01:01-C*07:04:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 100  A*30:01:01-B*45:01:01-C*16:01:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142

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 220) 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