Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 189 (from 189) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*11:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 102  A*26:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 103  A*03:01-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.067220,653
 104  A*68:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Netherlands minority 0.06501,374
 105  A*02:01-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.063420,653
 106  A*03:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.062223,595
 107  A*01:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Spain minority 0.05901,107
 108  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05731,075
 109  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.05673,456,066
 110  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.05001,159
 111  A*02:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Croatia minority 0.04902,057
 112  A*30:02-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 113  A*02:05-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - United Kingdom minority 0.04801,043
 114  A*29:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 115  A*68:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 116  A*01:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - France minority 0.04601,406
 117  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 118  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 119  A*11:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04401,159
 120  A*32:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 121  A*03:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Portugal minority 0.04301,176
 122  A*32:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 123  A*68:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Portugal minority 0.04301,176
 124  A*11:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 125  A*24:02-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Romania minority 0.04101,234
 126  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04104,856
 127  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.04013,456,066
 128  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.03763,456,066
 129  A*02:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Netherlands minority 0.03701,374
 130  A*11:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Netherlands minority 0.03601,374
 131  A*68:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - France minority 0.03601,406
 132  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.03593,456,066
 133  A*01:01:01:01-B*18:01:01-C*05:01:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03531,510
 134  A*29:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 135  A*32:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 136  A*01:08-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 137  A*29:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 138  A*32:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 139  A*33:03-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 140  A*68:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 141  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Filipino 0.033950,614
 142  A*02:01:01:01-B*18:01:01-C*05:01:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 143  A*30:02:01:01-B*18:01:01:01-C*05:01:01:01-DRB1*03:01:01:02-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 144  A*30:02:01:01-B*18:01:01:01-C*05:01:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 145  A*02:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Greece minority 0.03101,894
 146  A*24:02-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.028820,653
 147  A*68:01:02-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.026823,595
 148  A*26:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Greece minority 0.02601,894
 149  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.02573,456,066
 150  A*02:05-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Croatia minority 0.02402,057
 151  A*03:01-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Croatia minority 0.02402,057
 152  A*29:02-B*18:01-C*05:01-DRB1*03:01  Germany DKMS - Croatia minority 0.02402,057
 153  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.02383,456,066
 154  A*68:01-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.022720,653
 155  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 156  A*68:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02043,456,066
 157  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Japanese 0.020324,582
 158  A*01:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.018423,595
 159  A*01:01-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.015720,653
 160  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Germany DKMS - German donors 0.01543,456,066
 161  A*26:01-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.015120,653
 162  A*03:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.01383,456,066
 163  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01353,456,066
 164  A*11:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Germany DKMS - German donors 0.01163,456,066
 165  A*01:01-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 166  A*02:01-B*18:01-C*05:01-DRB1*03:01-DQB1*05:01  USA African American pop 4 0.01102,411
 167  A*24:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.01102,411
 168  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*05:01  USA African American pop 4 0.01102,411
 169  A*02:17-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.009620,653
 170  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 171  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 172  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Vietnamese 0.008043,540
 173  A*30:02-B*18:01-C*05:01-DRB1*03:01  Hong Kong Chinese BMDR 0.00627,595
 174  A*68:02-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.004820,653
 175  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Southeast Asian 0.003627,978
 176  A*32:01-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.002520,653
 177  A*03:02-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.002420,653
 178  A*23:01-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.002220,653
 179  A*30:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002223,595
 180  A*33:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 181  A*02:17:02-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 182  A*11:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 183  A*29:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 184  A*68:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 185  A*11:01:79-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002023,595
 186  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP South Asian Indian 0.0018185,391
 187  A*02:02-B*18:01-C*05:01-DRB1*03:01  Poland DKMS 0.001220,653
 188  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Korean 0.000092077,584
 189  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Chinese 0.000069099,672

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 189 (from 189) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional