Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 101 to 200 (from 316) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 102  A*31:01:02-B*49:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 103  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*01:03-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1337221
 104  A*01:01:01-B*49:01:01-C*06:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1326221
 105  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.13251,510
 106  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.126623,595
 107  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.123923,595
 108  A*24:02:01-B*49:01:01-C*07:01:01  England Blood Donors of Mixed Ethnicity 0.1024519
 109  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.09931,510
 110  A*30:04:01-B*49:01:01-C*07:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 111  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.093628,927
 112  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*01:03-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0926221
 113  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*08:04-DQB1*03:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.089228,927
 114  A*01:01:01-B*49:01:01-C*06:02:01-DRB1*11:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0858221
 115  A*01:01:01-B*49:01:01-C*07:01:01  England Blood Donors of Mixed Ethnicity 0.0681519
 116  A*01:01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 117  A*03:01:01:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 118  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 119  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 120  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06041,510
 121  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  China Zhejiang Han 0.05771,734
 122  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.048523,595
 123  A*32:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.041123,595
 124  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.041023,595
 125  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.037523,595
 126  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.036023,595
 127  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.035823,595
 128  A*68:02:01-B*49:01:01-C*07:01:01-DRB1*03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0335221
 129  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.033323,595
 130  A*01:02-B*49:01:01-C*14:02:01-DRB1*03:01:01:02-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 131  A*02:01:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 132  A*02:01:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 133  A*02:01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 134  A*02:06:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 135  A*03:01:01:01-B*49:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 136  A*11:01:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 137  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 138  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 139  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 140  A*24:02:01:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 141  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 142  A*25:01:01-B*49:01:01-C*07:04:01-DRB1*01:01:01-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.03311,510
 143  A*31:01:02:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.03311,510
 144  A*31:01:02:01-B*49:01:01-C*07:01:01-DRB1*11:04-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 145  A*32:01:01-B*49:01:01-C*07:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 146  A*33:03:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 147  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 148  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.02881,734
 149  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.027823,595
 150  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.025923,595
 151  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.025323,595
 152  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.024823,595
 153  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.019223,595
 154  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.018723,595
 155  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.017723,595
 156  A*11:01:01-B*49:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.017023,595
 157  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.016823,595
 158  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.016523,595
 159  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.016123,595
 160  A*01:01:01-B*49:01:01-C*06:02:01-DRB1*11:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0156221
 161  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.014723,595
 162  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.014423,595
 163  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.013523,595
 164  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.012523,595
 165  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02:02  Poland BMR 0.012223,595
 166  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.011623,595
 167  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.011123,595
 168  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.011023,595
 169  A*66:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010723,595
 170  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.010723,595
 171  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010723,595
 172  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.010523,595
 173  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.010023,595
 174  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.009423,595
 175  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.008723,595
 176  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.008123,595
 177  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.007823,595
 178  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.007723,595
 179  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.007223,595
 180  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.007023,595
 181  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.006923,595
 182  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006623,595
 183  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02:02  Poland BMR 0.006423,595
 184  A*24:02:01-B*49:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006423,595
 185  A*32:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.006323,595
 186  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.006323,595
 187  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006123,595
 188  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.005923,595
 189  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005823,595
 190  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005623,595
 191  A*02:01:01-B*49:01:01-C*07:02:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.005223,595
 192  A*66:01:01-B*49:01:01-C*07:01:01-DRB1*04:06:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 193  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.004823,595
 194  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004623,595
 195  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.004323,595
 196  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004323,595
 197  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 198  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*14:04:01-DQB1*05:03:01  Poland BMR 0.004223,595
 199  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004223,595
 200  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.004223,595

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 200 (from 316) records   Pages: 1 2 3 4 of 4  


   

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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