title: eResponseNet: a package prioritizing candidate disease genes through cellular pathways.
abstract: BACKGROUND
  Although genome-wide association studies (GWAS) have found many common genetic variants associated with human diseases, it remains a challenge to elucidate the functional links between associated variants and complex traits.
  
  
  RESULTS
  We developed a package called eResponseNet by implementing and extending the existing ResponseNet algorithm for prioritizing candidate disease genes through cellular pathways. Using type II diabetes (T2D) as a study case, we demonstrate that eResponseNet outperforms currently available approaches in prioritizing candidate disease genes. More importantly, the package is instrumental in revealing cellular pathways underlying disease-associated genetic variations.
  
  
  BACKGROUND
  The eResponseNet package is freely downloadable at http://hanlab.genetics.ac.cn/eResponseNet.
  
  
  BACKGROUND
  jdhan@picb.ac.cn
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
authors.forename: Jialiang
authors.initials: J
authors.lastname: Huang
authors.forename: Yi
authors.initials: Y
authors.lastname: Liu
authors.forename: Wei
authors.initials: W
authors.lastname: Zhang
authors.forename: Hong
authors.initials: H
authors.lastname: Yu
authors.forename: Jing-Dong J
authors.initials: JD
authors.lastname: Han
mesh_terms: D000465:Algorithms; D003924:Diabetes Mellitus, Type 2 / Q000235:genetics; D004194:Disease / Q000235:genetics*; D005796:Genes; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D006801:Humans; D020641:Polymorphism, Single Nucleotide; D012984:Software