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 200 (from 796) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*24:02-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.3501714
 102  A*01:01:01-B*57:01:01-C*04:01:01-DRB1*04:03:01-DQA1*02:01:01-DQB1*03:02-DPA1*02:01:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 103  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*02:01:04-DPB1*13:01  Russia Belgorod region 0.3268153
 104  A*02:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*13:01  Russia Belgorod region 0.3268153
 105  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 106  A*24:02:01-B*18:01:01-C*03:03:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 107  A*24:02:01-B*50:01:01-C*01:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:01-DPA1*02:01:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 108  A*24:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 109  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:01:04-DPB1*13:01  Russia Belgorod region 0.3268153
 110  A*29:02-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*13:01  Tanzania Maasai 0.3195336
 111  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:03-DPB1*13:01  Tanzania Maasai 0.3195336
 112  DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.31711,064
 113  A*02:02:01-B*15:16:01-C*14:02:01-DRB1*12:01:01-DQB1*05:01:01-DPA1*02:01:07-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 114  A*02:05:01-B*49:01:01-C*07:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 115  A*02:05:01-B*49:01:01-C*15:05:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:07-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 116  A*03:01:01-B*57:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 117  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 118  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*16:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 119  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 120  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 121  A*29:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 122  A*32:01:01-B*49:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 123  A*32:01:02-B*51:01:01-C*15:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 124  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.30655,266
 125  DRB1*08:03:02-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.3020496
 126  DRB1*08:03:02-DQB1*06:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.3020496
 127  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.3001833
 128  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.3001833
 129  A*02:05-B*58:01-C*07:01-DRB1*11:02-DQA1*01:02-DQB1*06:02-DPB1*13:01  South Africa Worcester 0.3000159
 130  A*11:01-B*18:01-C*07:04-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  South Africa Worcester 0.3000159
 131  A*11:01-B*53:01-C*04:01-DRB1*08:04-DQA1*04:01-DQB1*06:01-DPB1*13:01  South Africa Worcester 0.3000159
 132  A*23:01-B*07:02-C*07:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*13:01  South Africa Worcester 0.3000159
 133  A*23:01-B*15:16-C*02:02-DRB1*03:02-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 0.3000159
 134  A*23:13-B*52:01-C*16:01-DRB1*04:03-DQA1*05:02-DQB1*03:02-DPB1*13:01  South Africa Worcester 0.3000159
 135  A*24:02-B*35:05-C*06:02-DRB1*16:02-DQA1*01:01-DQB1*05:03-DPB1*13:01  South Africa Worcester 0.3000159
 136  A*24:02-B*51:02-C*03:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Africa Worcester 0.3000159
 137  A*29:02-B*15:10-C*16:01-DRB1*11:01-DQA1*01:02-DQB1*06:04-DPB1*13:01  South Africa Worcester 0.3000159
 138  A*30:02-B*07:02-C*07:01-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 0.3000159
 139  A*32:01-B*15:03-C*02:10-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Africa Worcester 0.3000159
 140  A*66:01-B*14:06-C*02:10-DRB1*03:01-DQA1*05:01-DQB1*05:03-DPB1*13:01  South Africa Worcester 0.3000159
 141  A*66:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 0.3000159
 142  A*68:02-B*53:01-C*18:01-DRB1*15:03-DQA1*01:01-DQB1*06:02-DPB1*13:01  South Africa Worcester 0.3000159
 143  A*68:02-B*58:02-C*07:01-DRB1*13:01-DQA1*03:01-DQB1*06:02-DPB1*13:01  South Africa Worcester 0.3000159
 144  DQA1*01:03-DQB1*06:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.28201,064
 145  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.2801714
 146  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.2801714
 147  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.2753833
 148  DQB1*05:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.2680496
 149  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*06:03-DPB1*13:01  USA San Diego 0.2600496
 150  A*02:01-B*15:01-C*04:04-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*13:01  USA San Diego 0.2600496
 151  A*02:01-B*40:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  USA San Diego 0.2600496
 152  A*02:01-B*50:01-C*03:03-DRB1*11:01-DQA1*05:02-DQB1*05:03-DPB1*13:01  USA San Diego 0.2600496
 153  A*11:01-B*40:02-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  USA San Diego 0.2600496
 154  A*11:02-B*58:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  USA San Diego 0.2600496
 155  A*24:02-B*46:01-C*01:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*13:01  USA San Diego 0.2600496
 156  A*26:01-B*13:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  USA San Diego 0.2600496
 157  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  USA San Diego 0.2600496
 158  A*68:01-B*51:01-C*02:02-DRB1*14:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  USA San Diego 0.2600496
 159  DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.24751,064
 160  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.23095,266
 161  DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.22761,064
 162  DRB1*11:02-DQB1*03:19-DPB1*13:01  Gambia pop 3 0.2226939
 163  DQA1*01:02-DQB1*06:09-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.22041,064
 164  DRB1*03:02-DQB1*04:02-DPB1*13:01  Gambia pop 3 0.2177939
 165  DRB1*08:06-DQB1*03:01-DPB1*13:01  Gambia pop 3 0.2177939
 166  A*01:01-B*14:02-C*16:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 167  A*01:01-B*51:01-C*15:02-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*13:01  Nicaragua Managua 0.2165339
 168  A*02:05-B*51:01-C*16:01-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 169  A*03:01-B*35:01-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 170  A*24:02-B*15:03-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Nicaragua Managua 0.2165339
 171  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:06-DQB1*06:04-DPB1*13:01  Nicaragua Managua 0.2165339
 172  A*31:01-B*49:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 173  A*66:01-B*40:32-C*07:02-DRB1*07:01-DQA1*01:02-DQB1*05:02-DPB1*13:01  Nicaragua Managua 0.2165339
 174  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.2144833
 175  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.2101714
 176  A*68:01-B*07:05-C*07:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.2101714
 177  DQA1*03:03-DQB1*04:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.20861,064
 178  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.2042833
 179  DQA1*01:02-DQB1*05:02-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.20411,064
 180  DRB1*15:02:01-DQB1*05:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 181  DRB1*15:02:01-DQB1*06:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 182  A*01:01:01-B*51:01:01-C*15:13:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 183  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 184  A*02:01:01-B*40:02:01-C*15:02:01-DRB1*14:06:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 185  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 186  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*12:02:02-DQB1*06:03:01-DPA1*02:02:02-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 187  A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 188  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 189  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 190  A*23:17:01-B*52:01:01-C*02:10:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 191  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 192  A*33:03:01-B*58:01:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 193  A*36:01-B*55:01:01-C*03:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 194  A*68:01:02-B*41:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 195  A*68:02:01-B*45:01:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 196  DQA1*01:02-DQB1*06:02-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.19401,064
 197  A*01:01-B*40:01-C*03:02-DRB1*13:01-DQB1*06:04-DPB1*13:01  Panama 0.1900462
 198  A*01:01-B*57:01-C*06:02-DRB1*03:01-DQB1*03:02-DPB1*13:01  Panama 0.1900462
 199  A*02:01-B*35:01-C*04:01-DRB1*09:01-DQB1*03:03-DPB1*13:01  Panama 0.1900462
 200  A*02:01-B*40:01-C*03:04-DRB1*07:01-DQB1*06:09-DPB1*13:01  Panama 0.1900462

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 200 (from 796) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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