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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 235) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*26-B*49-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 102  A*32-B*49-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 103  A*68-B*49-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.08531,173
 104  A*03-B*49-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.08381,189
 105  A*02-B*49-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 106  A*23-B*49-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 107  A*30-B*49-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 108  A*01-B*49-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.07521,994
 109  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.07022,492
 110  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 111  A*02:01-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 112  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 113  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 114  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
 115  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
 116  A*30-B*49-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.06571,743
 117  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.06204,856
 118  A*26-B*49-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 119  A*30-B*49-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 120  A*68-B*49-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 121  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.06032,492
 122  A*24-B*49-DRB1*13-DQB1*06  Mexico Puebla Rural 0.0600833
 123  A*26-B*49-DRB1*13-DQB1*06  Mexico Puebla Rural 0.0600833
 124  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*15:01  Russia Karelia 0.05651,075
 125  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*14:01  Russia Karelia 0.05651,075
 126  A*24:02-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*04:02  Russia Karelia 0.05641,075
 127  A*26:01-B*49:01-C*01:02-DRB1*13:02-DQB1*06:04-DPB1*04:02  Russia Karelia 0.05611,075
 128  A*24:02-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 129  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.05204,856
 130  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.047711,446
 131  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 132  A*23:01-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 133  A*29:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 134  A*68:01-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 135  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.04614,204
 136  A*02:20-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.04401,772
 137  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 138  A*23:01-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 139  A*29:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 140  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 141  A*30-B*49-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 142  A*01-B*49-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 143  A*03:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.04104,856
 144  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 145  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.04012,492
 146  A*32-B*49-C*07-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03431,743
 147  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 148  A*25:01-B*49:01-C*07:04-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 149  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 150  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 151  A*02:01-B*49:01-C*06:02-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 152  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 153  A*24:02-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 154  A*29:02-B*49:01-C*06:02-DRB1*13:16-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 155  A*29:02-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 156  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 157  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 158  A*66:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 159  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
 160  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
 161  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
 162  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.03255,829
 163  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.03255,829
 164  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.03104,856
 165  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
 166  A*23:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02804,856
 167  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.02565,849
 168  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
 169  A*24-B*49-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 170  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.02384,204
 171  A*68:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.023011,446
 172  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.02202,411
 173  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.02201,772
 174  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.02202,411
 175  A*30:04-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.02104,856
 176  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India East UCBB 0.02082,403
 177  A*32:01-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.020811,446
 178  A*02:05-B*49:01-C*06:02-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.02012,492
 179  A*11:01-B*49:01-C*06:02-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.02012,492
 180  A*30-B*49-C*07-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.02004,510
 181  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01885,849
 182  A*32:01-B*49:01-C*04:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.017511,446
 183  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01715,849
 184  A*31:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.01715,849
 185  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
 186  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01554,204
 187  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
 188  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01404,856
 189  A*33:03-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.01375,829
 190  A*01:02-B*49:01-C*07:01-DRB1*13:01-DQB1*06:08  USA Hispanic pop 2 0.01201,999
 191  A*11:01-B*49:01-C*04:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.01201,999
 192  A*34:02-B*49:01-C*07:01-DRB1*13:01-DQB1*06:08  USA Hispanic pop 2 0.01201,999
 193  A*68:01-B*49:01-C*04:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.01201,999
 194  A*02:01-B*49:01-C*01:02-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01194,204
 195  A*03:219-B*49:01-C*07:06-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 196  A*26:01-B*49:01-C*03:04-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01194,204
 197  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
 198  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.011311,446
 199  A*03:02-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.01102,411
 200  A*23:01-B*49:01-C*07:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.01102,411

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 235) 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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