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 101 to 164 (from 164) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*02:01:01-B*18:01:01-C*02:10:01-DRB1*11:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 102  A*02:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 103  A*02:06:01-B*48:01:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 104  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
 105  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
 106  A*24:02:01-B*57:01:01-C*07:02:01-DRB1*07:01:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 107  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
 108  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
 109  A*33:01:01-B*14:02:01-C*12:03:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 110  A*74:01:01-B*15:03:01-C*02:10:01-DRB1*13:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 111  A*74:01:01-B*35:01:01-C*02:10:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 112  A*01:01-B*49:01-C*07:28-DRB1*01:02-DQB1*05:01-DPB1*105:01  Panama 0.1900462
 113  A*02:01-B*35:12-C*07:01-DRB1*08:02-DQB1*04:02-DPB1*105:01  Panama 0.1900462
 114  A*02:02-B*15:16-C*14:02-DRB1*04:05-DQB1*03:02-DPB1*105:01  Panama 0.1900462
 115  A*02:06-B*18:01-C*07:04-DRB1*11:01-DQB1*06:02-DPB1*105:01  Panama 0.1900462
 116  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*105:01  Panama 0.1900462
 117  A*24:02-B*40:02-C*18:01-DRB1*16:02-DQB1*03:01-DPB1*105:01  Panama 0.1900462
 118  A*24:02-B*44:03-C*01:02-DRB1*04:07-DQB1*03:02-DPB1*105:01  Panama 0.1900462
 119  A*33:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02-DPB1*105:01  Panama 0.1900462
 120  A*66:01-B*51:01-C*18:01-DRB1*12:01-DQB1*03:01-DPB1*105:01  Panama 0.1900462
 121  A*68:01-B*44:03-C*07:02-DRB1*15:03-DQB1*06:02-DPB1*105:01  Panama 0.1900462
 122  A*01:01-B*14:02-C*08:02-DRB1*08:04-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 123  A*02:01-B*40:16-C*06:02-DRB1*01:02-DQB1*02:02-DPB1*105:01  Tanzania Maasai 0.1597336
 124  A*02:01-B*57:02-C*08:13-DRB1*13:02-DQB1*06:09-DPB1*105:01  Tanzania Maasai 0.1597336
 125  A*02:02-B*41:01-C*06:02-DRB1*03:01-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 126  A*02:14-B*18:03-C*04:01-DRB1*04:10-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 127  A*03:01-B*49:01-C*03:04-DRB1*12:01-DQB1*03:02-DPB1*105:01  Tanzania Maasai 0.1597336
 128  A*03:01-B*53:01-C*04:01-DRB1*08:04-DQB1*03:19-DPB1*105:01  Tanzania Maasai 0.1597336
 129  A*03:01-B*58:02-C*07:05-DRB1*15:03-DQB1*06:04-DPB1*105:01  Tanzania Maasai 0.1597336
 130  A*23:01-B*15:17-C*07:04-DRB1*07:01-DQB1*02:01-DPB1*105:01  Tanzania Maasai 0.1597336
 131  A*23:01-B*57:02-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*105:01  Tanzania Maasai 0.1597336
 132  A*26:12-B*07:02-C*07:02-DRB1*08:04-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 133  A*29:02-B*15:17-C*17:01-DRB1*10:01-DQB1*06:09-DPB1*105:01  Tanzania Maasai 0.1597336
 134  A*29:02-B*53:01-C*02:02-DRB1*11:02-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 135  A*30:02-B*45:01-C*06:02-DRB1*11:01-DQB1*03:19-DPB1*105:01  Tanzania Maasai 0.1597336
 136  A*30:02-B*53:01-C*04:01-DRB1*01:02-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 137  A*30:02-B*58:02-C*16:01-DRB1*01:02-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 138  A*32:01-B*40:12-C*08:04-DRB1*08:04-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 139  A*33:03-B*14:01-C*08:02-DRB1*13:02-DQB1*06:04-DPB1*105:01  Tanzania Maasai 0.1597336
 140  A*33:03-B*58:02-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 141  A*34:02-B*18:01-C*02:10-DRB1*11:01-DQB1*03:19-DPB1*105:01  Tanzania Maasai 0.1597336
 142  A*34:02-B*40:12-C*04:04-DRB1*13:02-DQB1*06:09-DPB1*105:01  Tanzania Maasai 0.1597336
 143  A*34:02-B*40:12-C*04:04-DRB1*13:02-DQB1*06:88-DPB1*105:01  Tanzania Maasai 0.1597336
 144  A*36:01-B*53:01-C*04:01-DRB1*03:02-DQB1*02:02-DPB1*105:01  Tanzania Maasai 0.1597336
 145  A*36:01-B*53:01-C*07:02-DRB1*08:04-DQB1*06:02-DPB1*105:01  Tanzania Maasai 0.1597336
 146  A*36:01-B*81:01-C*03:04-DRB1*08:04-DQB1*04:02-DPB1*105:01  Tanzania Maasai 0.1597336
 147  A*68:01-B*49:01-C*04:04-DRB1*13:02-DQB1*06:04-DPB1*105:01  Tanzania Maasai 0.1597336
 148  A*68:01-B*81:01-C*08:04-DRB1*12:01-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 149  A*68:02-B*15:10-C*03:04-DRB1*04:05-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 150  A*68:02-B*58:01-C*07:01-DRB1*07:01-DQB1*02:02-DPB1*105:01  Tanzania Maasai 0.1597336
 151  A*74:01-B*13:02-C*17:01-DRB1*01:02-DQB1*02:01-DPB1*105:01  Tanzania Maasai 0.1597336
 152  A*74:01-B*15:03-C*02:02-DRB1*03:01-DQB1*02:01-DPB1*105:01  Tanzania Maasai 0.1597336
 153  A*74:01-B*58:02-C*06:02-DRB1*11:02-DQB1*03:01-DPB1*105:01  Tanzania Maasai 0.1597336
 154  DRB1*13:02-DQB1*02:01-DPB1*105:01  Gambia pop 3 0.1451939
 155  DRB1*15:03-DQB1*06:02-DPB1*105:01  Gambia pop 3 0.1227939
 156  DRB1*03:02-DQB1*04:02-DPB1*105:01  Gambia pop 3 0.0775939
 157  DRB1*04:05-DQB1*06:04-DPB1*105:01  Gambia pop 3 0.0726939
 158  DRB1*08:04-DQB1*04:02-DPB1*105:01  Gambia pop 3 0.0726939
 159  DRB1*11:01-DQB1*04:02-DPB1*105:01  Gambia pop 3 0.0726939
 160  DRB1*11:02-DQB1*03:01-DPB1*105:01  Gambia pop 3 0.0726939
 161  DRB1*13:02-DQB1*06:04-DPB1*105:01  Gambia pop 3 0.0726939
 162  DRB1*13:04-DQB1*03:01-DPB1*105:01  Gambia pop 3 0.0726939
 163  DRB1*14:54-DQB1*06:02-DPB1*105:01  Gambia pop 3 0.0726939
 164  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*105:01  Japan pop 17 0.03003,078

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 101 to 164 (from 164) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional