Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 257) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*03:01-B*27:02-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.4030124
 102  A*03:01-B*57:01-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.4030124
 103  A*26:01-B*55:01-C*03:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.4030124
 104  A*26:02-B*07:02-C*02:02-DRB1*15:01-DQA1*01:02-DQB1*05:02  Kosovo 0.4030124
 105  A*31:01-B*15:01-C*03:03-DRB1*14:01-DQA1*01:02-DQB1*05:02  Kosovo 0.4030124
 106  A*01:01:01-B*44:05:01-C*02:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 107  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 108  A*02:01:01-B*37:01:01-C*07:04:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:06-DPB1*02:01:02  Russia Belgorod region 0.3268153
 109  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:07-DPB1*19:01  Russia Belgorod region 0.3268153
 110  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 111  A*03:01:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 112  A*11:01:01-B*27:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 113  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*05:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 114  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 115  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*23:01:01  Russia Belgorod region 0.3268153
 116  A*25:01:01-B*27:02:01-C*06:02:01-DRB1*07:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 117  A*30:01:01-B*44:05:01-C*02:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 118  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*16:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 119  A*01:23-B*58:01-C*04:01-DRB1*14:07-DQA1*01:02-DQB1*05:02-DPB1*04:01  South Africa Worcester 0.3000159
 120  A*30:02-B*51:01-C*01:02-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*04:02  South Africa Worcester 0.3000159
 121  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.2831833
 122  A*01:01-B*38:02-C*07:02-DRB1*15:02-DQA1*01:02-DQB1*05:02-DPB1*04:01  USA San Diego 0.2600496
 123  A*02:01-B*27:02-C*02:02-DRB1*11:04-DQA1*01:02-DQB1*05:02-DPB1*04:02  USA San Diego 0.2600496
 124  A*02:01-B*35:12-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*05:01  USA San Diego 0.2600496
 125  A*11:01-B*38:02-C*07:02-DRB1*04:05-DQA1*01:02-DQB1*05:02-DPB1*01:01  USA San Diego 0.2600496
 126  A*11:01-B*51:01-C*14:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*05:01  USA San Diego 0.2600496
 127  A*02-B*51-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.2528641
 128  DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*21:01  Hong Kong Chinese HKBMDR. DQ and DP 0.24691,064
 129  DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.24051,064
 130  A*03-B*07-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.2340641
 131  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.2287833
 132  DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.22761,064
 133  DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*01:01  Hong Kong Chinese HKBMDR. DQ and DP 0.22671,064
 134  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.2206833
 135  A*01:01-B*18:05-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02-DPB1*04:01  Nicaragua Managua 0.2165339
 136  A*02:01-B*35:43-C*01:02-DRB1*16:01-DQA1*01:02-DQB1*05:02-DPB1*04:02  Nicaragua Managua 0.2165339
 137  A*03:01-B*52:01-C*08:02-DRB1*11:01-DQA1*01:02-DQB1*05:02-DPB1*30:01  Nicaragua Managua 0.2165339
 138  A*24:02-B*18:05-C*02:02-DRB1*11:04-DQA1*01:02-DQB1*05:02-DPB1*01:01  Nicaragua Managua 0.2165339
 139  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
 140  A*68:01-B*55:01-C*03:04-DRB1*16:01-DQA1*01:02-DQB1*05:02-DPB1*03:01  Nicaragua Managua 0.2165339
 141  A*68:02-B*49:01-C*07:27-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*02:01  Nicaragua Managua 0.2165339
 142  A*03:01-B*15:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 143  A*03:01-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 144  DRB1*16:02-DQA1*01:02-DQB1*05:02  USA European American 0.21001,899
 145  DQA1*01:02-DQB1*05:02-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.20411,064
 146  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1936833
 147  DRB1*12:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*21:01  China Zhejiang Han pop 2 0.1801833
 148  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*05:01  China Zhejiang Han pop 2 0.1794833
 149  A*02-B*44-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.1560641
 150  A*03-B*35-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.1560641
 151  A*24-B*35-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.1560641
 152  A*03:01-B*15:05-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.1401714
 153  A*11:01-B*44:03-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*26:01  Sri Lanka Colombo 0.1401714
 154  A*11:01-B*56:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 155  A*24:02-B*35:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 156  A*33:03-B*35:01-C*04:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*26:01  Sri Lanka Colombo 0.1401714
 157  A*33:03-B*44:03-C*07:01-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.1401714
 158  DRB1*15:01-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1384833
 159  A*24-B*39-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.1372641
 160  DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.13571,064
 161  DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12611,064
 162  DQA1*01:02-DQB1*05:02-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12061,064
 163  DRB1*15:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1200833
 164  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.1200833
 165  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.1200833
 166  DRB1*15:01-DQA1*01:02-DQB1*05:02  USA European American 0.11001,899
 167  A*11:01-B*67:01-C*07:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:02  Japan pop 17 0.10003,078
 168  A*01-B*18-DRB1*07:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 169  A*01-B*18-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 170  A*01-B*53-DRB1*11:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 171  A*02-B*07-DRB1*13:02-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 172  A*02-B*15-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 173  A*02-B*18-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 174  A*02-B*53-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 175  A*03-B*40-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 176  A*03-B*53-DRB1*03:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 177  A*11-B*44-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 178  A*11-B*55-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 179  A*24-B*44-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 180  A*24-B*56-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 181  A*26-B*07-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 182  A*26-B*53-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 183  A*26-B*55-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 184  A*30-B*18-DRB1*11:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 185  A*30-B*18-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 186  A*30-B*37-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 187  A*30-B*44-DRB1*15:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 188  A*30-B*49-DRB1*04:05-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 189  A*31-B*38-DRB1*12:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 190  A*32-B*35-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 191  A*36-B*07-DRB1*16:02-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 192  A*66-B*07-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 193  A*68-B*39-DRB1*11:04-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 194  A*68-B*44-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 195  A*68-B*51-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 196  A*02:01-B*35:01-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 197  A*02:01-B*37:01-C*12:02-DRB1*07:01-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 198  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 199  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 200  A*03:01-B*40:01-C*03:04-DRB1*15:06-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714

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 257) 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.

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