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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Displaying 101 to 200 (from 219) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*30-B*49-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 102  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.08381,189
 103  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.08133,456,066
 104  A*11:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.07901,159
 105  A*24-B*49-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 106  A*24-B*49-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 107  A*25-B*49-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 108  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.07204,856
 109  A*01:01-B*49:01-C*06:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 110  A*01:01-B*49:01-C*06:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 111  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 112  A*11:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 113  A*26:08-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 114  A*29-B*49-DRB1*11-DQB1*03:01  Mexico Mexico City North 0.0664751
 115  A*68-B*49-DRB1*11-DQB1*03:01  Mexico Mexico City North 0.0664751
 116  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
 117  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
 118  A*23-B*49-DRB1*11-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 119  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
 120  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 121  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.05401,159
 122  A*01:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.05201,159
 123  A*02:05-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.05201,159
 124  A*02:05-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 125  A*02:05-B*49:01-C*07:02-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 126  A*03:01-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 127  A*33:03-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 128  A*36:01-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 129  A*66:01-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 130  A*02:02-B*49:01-C*07:35-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 131  A*02:05-B*49:01-C*07:35-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 132  A*68:02-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.04402,411
 133  A*80:01-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.04402,411
 134  A*02:11-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 135  A*02:55-B*49:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 136  A*03:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 137  A*24:02-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 138  A*30:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 139  A*32:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 140  A*66:01-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 141  A*23-B*49-DRB1*11-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 142  A*26-B*49-DRB1*11-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 143  A*69-B*49-DRB1*11-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 144  A*03-B*49-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 145  A*32-B*49-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 146  A*69-B*49-DRB1*11-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 147  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
 148  A*33:03-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04104,856
 149  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
 150  A*02:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.03504,856
 151  A*01:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 152  A*01:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 153  A*02:01-B*49:01-C*06:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 154  A*02:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 155  A*11:01-B*49:01-C*01:02-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 156  A*24:02-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 157  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
 158  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
 159  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
 160  A*02:05-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02904,856
 161  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
 162  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 163  A*03-B*49-DRB1*11-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 164  A*32:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.02304,856
 165  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.02203,456,066
 166  A*03:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02204,856
 167  A*03:01-B*49:01-C*07:35-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.02202,411
 168  A*24:02-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.02201,772
 169  A*30:01-B*49:01-C*07:35-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.02202,411
 170  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
 171  A*02:01-B*49:01-C*12:03-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01893,456,066
 172  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
 173  A*02:05-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01-DPB1*15:01  Germany DKMS - German donors 0.01813,456,066
 174  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
 175  A*02:17-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01704,856
 176  A*01:01-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01693,456,066
 177  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01663,456,066
 178  A*01:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01204,856
 179  A*01:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01204,856
 180  A*11:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01204,856
 181  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01193,456,066
 182  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 183  A*32:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 184  A*03:02-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 185  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
 186  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
 187  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
 188  A*02:17-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 189  A*03:01-B*49:01-C*07:01-DRB1*11:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 190  A*03:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 191  A*25:01-B*49:01-C*01:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 192  A*26:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 193  A*02:05-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 194  A*32:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 195  A*32:01-B*49:01-C*07:01-DRB1*11:11-DQB1*03:01  India West UCBB 0.00865,829
 196  A*01:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 197  A*32:01-B*49:01-C*07:01-DRB1*11:11-DQB1*03:01  India North UCBB 0.00855,849
 198  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00815,829
 199  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
 200  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

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 219) 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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