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 82 (from 82) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*03:01-DPB1*04:02  Uganda Baganda 21.300047
 2  DPA1*03:01-DPB1*04:02  Cameroon Saa 18.0000172
 3  DPA1*03:01-DPB1*04:02  Ecuador African 12.900058
 4  DPA1*03:01-DPB1*04:02  Gambia 5.8000146
 5  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 6  A*29:11-B*13:02:01-C*08:02:01-DRB1*11:01:02-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 7  A*30:01:01-B*50:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*03:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 8  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
 9  DPA1*03:01-DPB1*04:01  Cameroon Saa 2.3000172
 10  DPA1*03:01-DPB1*60:01  Cameroon Saa 2.3000172
 11  DPA1*03:01-DPB1*55:01  Uganda Baganda 2.100047
 12  DPA1*03:01-DPB1*40:01  Gambia 1.7000146
 13  DPA1*03:02-DPB1*04:02  Cameroon Saa 1.7000172
 14  A*02:01:01-B*52:01:02-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 15  A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 16  DPA1*03:01-DPB1*40:01  Cameroon Saa 1.4000172
 17  DPA1*03:01-DPB1*02:01  Cameroon Saa 1.2000172
 18  DPA1*03:01-DPB1*01:01:01  Uganda Baganda 1.100047
 19  DPA1*03:01-DPB1*19:01  Uganda Baganda 1.100047
 20  DPA1*03:01-DPB1*75:01  Uganda Baganda 1.100047
 21  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*11:01:02-DQB1*03:19:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 22  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*15:03:01-DQB1*04:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 23  A*24:02:01-B*07:09:01-C*07:02:01-DRB1*15:03:01-DQB1*05:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 24  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 25  A*33:03:01-B*18:01:01-C*08:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 26  A*33:03:01-B*52:01:01-C*12:03:01-DRB1*14:02:01-DQB1*03:01:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 27  A*33:03:01-B*58:01:01-C*04:01:01-DRB1*11:02:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 28  A*74:01:01-B*07:02:01-C*07:02:01-DRB1*08:06-DQB1*06:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 29  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
 30  A*74:01:01-B*58:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 31  A*68:02:01-B*49:01:01-C*03:04:02-DRB1*15:03:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 32  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 33  A*03:01:01-B*35:01:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 34  A*29:02:01-B*50:01:01-C*06:02:01-DRB1*08:03:02-DQB1*06:02:01-DPA1*03:02-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 35  A*30:02:01-B*45:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 36  A*30:04:01-B*08:01:01-C*04:01:01-DRB1*13:02:01-DQB1*02:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 37  A*31:01:02-B*40:02:01-C*03:04:01-DRB1*08:07-DQB1*03:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 38  A*32:01:01-B*45:01:01-C*07:01:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 39  A*01:01:01-B*39:01:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 40  A*23:17:01-B*15:20-C*04:01:01-DRB1*15:03:01-DQB1*03:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 41  A*23:17:01-B*55:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 42  A*29:01:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*06:03:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 43  A*30:02:01-B*15:03:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 44  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 45  A*31:15-B*15:05:01-C*01:02:30-DRB1*03:01:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 46  A*68:01:01-B*07:09:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*03:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 47  A*02:01-B*45:01-C*06:02-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPA1*03:03-DPB1*04:02  United Arab Emirates Pop 1 0.0935570
 48  A*26:01-B*18:01-C*07:04-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPA1*03:03-DPB1*09:01  United Arab Emirates Pop 1 0.0935570
 49  A*01:01-B*52:01-C*12:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*03:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 50  A*02:01-B*15:03-C*07:01-DRB1*03:01-DQA1*01:02-DQB1*05:01-DPA1*03:02-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 51  A*02:01-B*15:16-C*16:01-DRB1*12:01-DQA1*05:01-DQB1*03:01-DPA1*03:02-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 52  A*02:01-B*35:08-C*04:01-DRB1*07:01-DQA1*03:01-DQB1*02:01-DPA1*03:03-DPB1*03:01  United Arab Emirates Pop 1 0.0467570
 53  A*02:01-B*41:01-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*04:02-DPA1*03:02-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 54  A*02:01-B*51:01-C*02:02-DRB1*12:01-DQA1*01:01-DQB1*05:01-DPA1*03:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 55  A*02:01-B*51:01-C*16:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPA1*03:01-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 56  A*02:01-B*57:01-C*07:01-DRB1*07:01-DQA1*01:03-DQB1*06:01-DPA1*03:02-DPB1*80:01  United Arab Emirates Pop 1 0.0467570
 57  A*02:05-B*18:01-C*07:04-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*03:02-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 58  A*02:22-B*41:01-C*17:01-DRB1*15:03-DQA1*01:02-DQB1*06:03-DPA1*03:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 59  A*03:02-B*13:02-C*06:02-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPA1*03:02-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 60  A*03:02-B*50:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*03:03-DPB1*55:01  United Arab Emirates Pop 1 0.0467570
 61  A*11:01-B*49:01-C*04:01-DRB1*04:05-DQA1*01:05-DQB1*03:02-DPA1*03:01-DPB1*05:01  United Arab Emirates Pop 1 0.0467570
 62  A*24:02-B*55:01-C*01:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*03:02-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 63  A*24:07-B*58:01-C*07:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*03:02-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 64  A*26:30-B*15:03-C*04:01-DRB1*10:01-DQA1*02:01-DQB1*02:01-DPA1*03:03-DPB1*17:01  United Arab Emirates Pop 1 0.0467570
 65  A*29:02-B*15:03-C*02:10-DRB1*11:01-DQA1*01:01-DQB1*06:02-DPA1*03:02-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 66  A*30:01-B*53:01-C*04:01-DRB1*03:01-DQA1*01:02-DQB1*02:01-DPA1*03:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 67  A*30:02-B*07:02-C*15:05-DRB1*12:16-DQA1*01:02-DQB1*06:02-DPA1*03:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 68  A*30:02-B*08:01-C*07:04-DRB1*03:01-DQA1*01:02-DQB1*06:02-DPA1*03:02-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 69  A*30:02-B*14:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*03:03-DPB1*17:01  United Arab Emirates Pop 1 0.0467570
 70  A*30:04-B*15:03-C*02:10-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPA1*03:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 71  A*30:04-B*15:123-C*07:01-DRB1*11:01-DQA1*01:02-DQB1*06:09-DPA1*03:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 72  A*32:01-B*58:01-C*06:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPA1*03:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 73  A*33:03-B*58:02-C*06:02-DRB1*11:02-DQA1*04:01-DQB1*04:02-DPA1*03:01-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 74  A*68:01-B*35:01-C*04:01-DRB1*03:01-DQA1*01:02-DQB1*06:02-DPA1*03:02-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 75  A*68:01-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*03:02-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 76  A*68:01-B*40:06-C*07:04-DRB1*13:02-DQA1*01:02-DQB1*03:02-DPA1*03:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 77  A*68:01-B*41:01-C*08:02-DRB1*04:05-DQA1*02:01-DQB1*02:01-DPA1*03:02-DPB1*18:01  United Arab Emirates Pop 1 0.0467570
 78  A*68:02-B*13:02-C*06:02-DRB1*12:01-DQA1*01:01-DQB1*05:01-DPA1*03:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 79  A*68:02-B*45:01-C*16:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*03:02-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 80  A*68:02-B*57:02-C*04:01-DRB1*08:04-DQA1*05:01-DQB1*03:01-DPA1*03:02-DPB1*03:01  United Arab Emirates Pop 1 0.0467570
 81  A*68:02-B*58:01-C*03:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPA1*03:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 82  A*69:01-B*35:01-C*16:01-DRB1*11:01-DQA1*05:01-DQB1*05:01-DPA1*03:01-DPB1*04:02  United Arab Emirates Pop 1 0.0467570

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).




   

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