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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 184 (from 184) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*01:01-B*51:02-C*07:02-DRB1*16:01-DQB1*05:02  India Tamil Nadu 0.02012,492
 102  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.019823,595
 103  A*01:01-B*51:01-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.01725,829
 104  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.016523,595
 105  A*11:01:01-B*51:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.014823,595
 106  A*02:01-B*51:01-C*16:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01304,856
 107  A*24:02-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01304,856
 108  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.012723,595
 109  A*01:01-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01204,856
 110  A*02:01-B*51:08-C*16:02-DRB1*16:02-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 111  A*24:02-B*51:08-C*16:02-DRB1*16:02-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 112  A*30:02-B*51:01-C*02:02-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 113  A*30:02-B*51:02-C*08:01-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 114  A*31:01-B*51:01-C*02:02-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 115  A*31:01-B*51:02-C*08:01-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 116  A*01:01-B*51:01-C*04:01-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 117  A*11:01-B*51:01-C*14:02-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 118  A*11:01-B*51:06-C*14:02-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 119  A*11:03-B*51:06-C*14:02-DRB1*16:02-DQB1*05:02  India Central UCBB 0.01194,204
 120  A*33:03-B*51:01-C*04:01-DRB1*16:01-DQB1*05:02  India Central UCBB 0.01194,204
 121  A*23:01-B*51:01-C*02:02-DRB1*16:02-DQB1*05:02  USA African American pop 4 0.01102,411
 122  A*26:01-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01104,856
 123  A*32:01-B*51:01-C*02:02-DRB1*16:02-DQB1*05:02  USA African American pop 4 0.01102,411
 124  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.010923,595
 125  A*01:06-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 126  A*02-B*51-C*14-DRB1*16-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.01004,510
 127  A*03:01-B*51:01-C*05:01-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 128  A*24-B*51-C*12-DRB1*16-DQB1*05-DPB1*11  Norway ethnic Norwegians 0.01004,510
 129  A*26:01-B*51:01-C*01:02-DRB1*16:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 130  A*32:01-B*51:01-C*16:02-DRB1*16:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 131  A*33:03-B*51:01-C*03:03-DRB1*16:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 132  A*66:01-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 133  A*68:01-B*51:01-C*16:02-DRB1*16:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 134  A*74:01-B*51:07-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 135  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.008723,595
 136  A*03:01-B*51:01-C*14:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 137  A*24:33-B*51:06-C*12:04-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 138  A*26:01-B*51:06-C*12:04-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 139  A*02:01-B*51:01-C*07:02-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 140  A*02:01-B*51:01-C*15:02-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 141  A*02:11-B*51:01-C*14:02-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 142  A*32:01-B*51:06-C*12:04-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 143  A*68:01-B*51:01-C*07:02-DRB1*16:02-DQB1*05:02  India North UCBB 0.00855,849
 144  A*03:01:01-B*51:01:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.007623,595
 145  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006023,595
 146  A*68:01:01-B*51:01:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006023,595
 147  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.005323,595
 148  A*03:01-B*51:01-C*15:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.004911,446
 149  A*02:11-B*51:06-C*14:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.004411,446
 150  A*24:02-B*51:01-C*15:02-DRB1*16:01-DQB1*05:02  India South UCBB 0.004411,446
 151  A*31:01-B*51:01-C*14:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.004411,446
 152  A*33:03-B*51:01-C*14:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.004411,446
 153  A*68:01-B*51:01-C*14:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.004411,446
 154  A*30:01:01-B*51:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 155  A*32:01:01-B*51:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 156  A*03:01:01-B*51:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004123,595
 157  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004123,595
 158  A*24:02:01-B*51:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004023,595
 159  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003923,595
 160  A*24:02-B*51:01-C*14:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.003811,446
 161  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 162  A*32:01:01-B*51:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 163  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 164  A*01:01-B*51:06-C*14:02-DRB1*16:02-DQB1*05:02  India South UCBB 0.002911,446
 165  A*02:01:01-B*51:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002423,595
 166  A*68:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002423,595
 167  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002323,595
 168  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002223,595
 169  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.002123,595
 170  A*24:02:01-B*51:01:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 171  A*02:01:01-B*51:01:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 172  A*26:01:01-B*51:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 173  A*01:01:01-B*51:01:01-C*15:02:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.002123,595
 174  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.002123,595
 175  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 176  A*11:01:01-B*51:01:01-C*14:04-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 177  A*24:02:01-B*51:01:01-C*02:02:02-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.002123,595
 178  A*24:02:01-B*51:01:01-C*15:06:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.002123,595
 179  A*24:02:01-B*51:08:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 180  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 181  A*68:01:02-B*51:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 182  A*31:01:02-B*51:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 183  A*26:01:01-B*51:01:01-C*14:02:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.002123,595
 184  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595

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 184 (from 184) 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.

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