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 184 (from 184) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*68-B*41-DRB1*13-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 102  A*66-B*41-DRB1*13-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.08381,189
 103  A*01-B*41-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 104  A*24-B*41-DRB1*13:05-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 105  A*66-B*41-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 106  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 107  A*02:05-B*41:01-C*07:01-DRB1*13:05-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 108  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 109  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 110  A*02:05-B*41:01-C*07:01-DRB1*13:05-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 111  A*01-B*41-DRB1*13-DQB1*03:01  Mexico Mexico City North 0.0664751
 112  A*23-B*41-DRB1*13-DQB1*03:01  Mexico Mexico City North 0.0664751
 113  A*23:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 114  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.06293,456,066
 115  A*24-B*41-DRB1*13-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 116  A*32-B*41-DRB1*13-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.0607824
 117  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.05651,075
 118  A*24:02-B*41:01-C*07:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 119  A*31:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05601,075
 120  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.04943,456,066
 121  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.04573,456,066
 122  A*68:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 123  A*80:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 124  A*24-B*41-DRB1*13-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 125  A*32-B*41-DRB1*13-DQB1*03:01  Ecuador Mixed Ancestry 0.04261,173
 126  A*30-B*41-DRB1*13-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 127  A*32-B*41-DRB1*13-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.04191,189
 128  A*01:01-B*41:01-C*07:01-DRB1*13:05-DQB1*03:01  Germany DKMS - Turkey minority 0.04104,856
 129  A*24:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.040523,595
 130  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.04023,456,066
 131  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03904,856
 132  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03801,510
 133  A*25:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 134  A*01:01-B*41:01-C*07:01-DRB1*13:05-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 135  A*31:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 136  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 137  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:03-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 138  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 139  A*31:01:02:01-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 140  A*02:05-B*41:01-C*07:01-DRB1*13:05-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 141  A*24-B*41-DRB1*13-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 142  A*30-B*41-DRB1*13-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 143  A*32-B*41-DRB1*13-DQB1*03:01  Mexico Puebla, Puebla city 0.02511,994
 144  A*01:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India Central UCBB 0.02384,204
 145  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India Central UCBB 0.02384,204
 146  A*02:01-B*41:01-C*07:01-DRB1*13:05-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 147  A*02:01-B*41:01-C*17:01-DRB1*13:05-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 148  A*23:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 149  A*29:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 150  A*29:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India East UCBB 0.02082,403
 151  A*01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.020823,595
 152  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01963,456,066
 153  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01783,456,066
 154  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.017223,595
 155  A*01:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India North UCBB 0.01715,849
 156  A*03:02-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India North UCBB 0.01715,849
 157  A*31:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.013123,595
 158  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01283,456,066
 159  A*11:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.012623,595
 160  A*02:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India Central UCBB 0.01194,204
 161  A*02:05-B*41:01-C*07:01-DRB1*13:05-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01193,456,066
 162  A*26:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 163  A*68:02-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.01102,411
 164  A*74:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.01102,411
 165  A*02:05:01-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01:01  Poland BMR 0.010623,595
 166  A*02:05-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 167  A*32:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India West UCBB 0.00865,829
 168  A*68:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India West UCBB 0.00865,829
 169  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India North UCBB 0.00855,849
 170  A*23:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.007623,595
 171  A*25:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.005523,595
 172  A*03:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004723,595
 173  A*03:02-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India South UCBB 0.004411,446
 174  A*33:03-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India South UCBB 0.004411,446
 175  A*29:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004423,595
 176  A*68:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004323,595
 177  A*02:17:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 178  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 179  A*02:01:01-B*41:01:01-C*07:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 180  A*11:01:01-B*41:02:01-C*12:02:02-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 181  A*25:01:01-B*41:02:01-C*07:04:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 182  A*32:01:01-B*41:02:01-C*02:02:02-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 183  A*02:30:01-B*41:02:01-C*17:03-DRB1*13:14:01-DQB1*03:01:01  Poland BMR 0.001623,595
 184  A*66:17-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.001623,595

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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