Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 101 to 200 (from 261) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*25:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.05831,510
 102  A*24:02-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05651,075
 103  A*02:01-B*18:03-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*10:01  Russia Karelia 0.05651,075
 104  A*24:02-B*18:02-C*07:04-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 105  A*26:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 106  A*03:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04764,204
 107  A*11:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04714,204
 108  A*01:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 109  A*11:01-B*18:03-C*07:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 110  A*26:01-B*18:06-C*07:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 111  A*32:01-B*18:01-C*07:01-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 112  A*02:01-B*18:01-C*07:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Caribean Black 0.046133,328
 113  A*03:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04604,856
 114  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 115  A*01:01-B*18:01-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 116  A*02:01-B*18:01-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 117  A*24:02-B*18:03-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 118  A*33:01-B*18:03-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 119  A*11:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.04162,403
 120  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.040223,595
 121  A*02-B*18-C*07-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.04004,510
 122  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.038023,595
 123  A*02:01:01:01-B*18:01:01-C*07:01:01-DRB1*11:04-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03801,510
 124  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.037023,595
 125  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.036423,595
 126  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03431,510
 127  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 128  A*02:01-B*18:01-C*07:36-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 129  A*11:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 130  A*11:01-B*18:03-C*07:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 131  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 132  A*24:02-B*18:18-C*07:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 133  A*32:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 134  A*02:01:01:01-B*18:01:01-C*07:01:01-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 135  A*11:01:01:01-B*18:03-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 136  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 137  A*26:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 138  A*26-B*18-C*07-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 139  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03213,456,066
 140  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.03085,849
 141  A*02:01-B*18:01-C*07:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP African American pop 2 0.0308416,581
 142  A*03:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.03065,849
 143  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03004,856
 144  A*24-B*18-C*07-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.03004,510
 145  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.02993,456,066
 146  A*03:01:01:01-B*18:01:01-C*07:01:01-DRB1*11:04-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.02821,510
 147  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.027823,595
 148  A*24:02-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02403,456,066
 149  A*11:01:01-B*18:03-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.023723,595
 150  A*11:01-B*18:03-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.02263,456,066
 151  A*03:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.02255,829
 152  A*11:01:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.022323,595
 153  A*11:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.02204,856
 154  A*02:11-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 155  A*24:02-B*18:114-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 156  A*24:07-B*18:01-C*07:01-DRB1*11:08-DQB1*03:01  India East UCBB 0.02082,403
 157  A*32:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 158  A*02:01-B*18:01-C*07:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Southeast Asian 0.020627,978
 159  A*03-B*18-C*07-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.02004,510
 160  A*26:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.02004,856
 161  A*31-B*18-C*07-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.02004,510
 162  A*68:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01904,856
 163  A*02:11-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.01765,829
 164  A*01:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01723,456,066
 165  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01704,856
 166  A*68:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01704,856
 167  A*02:01:01-B*18:03-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.016723,595
 168  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.015811,446
 169  A*02:01-B*18:01-C*07:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Japanese 0.015824,582
 170  A*02:08-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01563,456,066
 171  A*30:04-B*18:01-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01504,856
 172  A*32:01:01-B*18:01:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014823,595
 173  A*03:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01473,456,066
 174  A*02:01-B*18:01-C*07:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Filipino 0.014150,614
 175  A*02:06-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.01382,403
 176  A*03:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01363,456,066
 177  A*11:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01323,456,066
 178  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.012811,446
 179  A*02:01-B*18:01-C*07:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP African 0.012728,557
 180  A*32:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01274,204
 181  A*02:01-B*18:01-C*07:01-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 182  A*30:01-B*18:01-C*07:01-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 183  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 184  A*02:20-B*18:01-C*07:04-DRB1*11:04-DQB1*03:01  India Central UCBB 0.01194,204
 185  A*11:01-B*18:01-C*07:01-DRB1*11:06-DQB1*03:01  India Central UCBB 0.01194,204
 186  A*33:03-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 187  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01163,456,066
 188  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.011523,595
 189  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01104,856
 190  A*32:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 191  A*31:01:02-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.010823,595
 192  A*26:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01063,456,066
 193  A*24:03:01-B*18:03-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.010623,595
 194  A*02:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01053,456,066
 195  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01023,456,066
 196  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01003,456,066
 197  A*01-B*18-C*07-DRB1*11-DQB1*03-DPB1*02  Norway ethnic Norwegians 0.01004,510
 198  A*03:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 199  A*11:01-B*18:01-C*07:01-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 200  A*23:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856

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 261) 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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