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 182 (from 182) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*11:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05651,075
 102  A*31:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05651,075
 103  A*03:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05641,075
 104  A*34:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0528951
 105  A*68:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 106  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP African 0.049928,557
 107  A*03:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.04902,403
 108  A*03:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 109  A*11:02:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.04621,734
 110  A*02:11-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.04425,829
 111  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 112  A*31:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 113  A*03:02-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.04162,403
 114  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP African American pop 2 0.0403416,581
 115  A*02:06-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.04005,829
 116  A*68:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.03954,204
 117  A*02:05-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03875,849
 118  A*02:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03785,849
 119  A*68:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03595,849
 120  A*68:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.03572,403
 121  A*02:16-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.03552,492
 122  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 123  A*24:02-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 124  A*11:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.03332,492
 125  A*01:01:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 126  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03304,856
 127  A*26:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03304,856
 128  A*03:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.03185,829
 129  A*24:07-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.03054,204
 130  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 131  A*03:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.02905,849
 132  A*29:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02734,204
 133  A*02:06-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.02585,849
 134  A*03:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02474,204
 135  A*31:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.02315,829
 136  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Hispanic South or Central American 0.0227146,714
 137  A*31:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.022511,446
 138  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP European Caucasian 0.02151,242,890
 139  A*02:11-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.02105,849
 140  A*26:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02082,492
 141  A*26:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 142  A*31:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 143  A*31:01:02-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.019123,595
 144  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Mexican or Chicano 0.0187261,235
 145  A*32:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01614,204
 146  A*02:06-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.015811,446
 147  A*03:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.015811,446
 148  A*32:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.01565,829
 149  A*26:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.014711,446
 150  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP North American Amerindian 0.014135,791
 151  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01403,456,066
 152  A*02:11-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.013111,446
 153  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Caribean Hispanic 0.0130115,374
 154  A*24:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.01285,849
 155  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01253,456,066
 156  A*02:05-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01224,204
 157  A*24:07-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.01212,403
 158  A*31:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 159  A*24:02-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01104,856
 160  A*24:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.01105,829
 161  A*69:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 162  A*02:11-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.00994,204
 163  A*68:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00975,829
 164  A*32:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.009611,446
 165  A*30:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.00935,849
 166  A*31:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.00925,849
 167  A*02:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.008911,446
 168  A*02:131-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.008711,446
 169  A*23:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 170  A*31:12-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.00855,849
 171  A*68:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.007911,446
 172  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006523,595
 173  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006423,595
 174  A*25:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006423,595
 175  A*02:20-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 176  A*24:17-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 177  A*29:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 178  A*30:02-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 179  A*33:119-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 180  A*33:160-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 181  A*24:02:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 182  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595

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 182 (from 182) 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