title: geneAttribution: trait agnostic identification of candidate genes associated with noncoding variation.
abstract: We have developed geneAttribution, an R package that assigns candidate causal gene(s) to a risk variant identified by a genetic association study such as a GWAS. The method combines user-supplied functional annotation such as expression quantitative trait loci (eQTL) or Hi-C genome conformation data and reports the most likely candidate genes. In the absence of annotation data, geneAttribution relies on the distances between the genes and the input variant.
  
  
  
  The package is freely available from http://www.bioconductor.org/ . A quick-start vignette is included with the package.
  
  
  
  wustera@gene.com.
authors.affiliation: Department of Human Genetics.|Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA 94080, USA.
authors.forename: Arthur
authors.initials: A
authors.lastname: Wuster
authors.affiliation: Department of Human Genetics.
authors.forename: Diana
authors.initials: D
authors.lastname: Chang
authors.affiliation: Department of Human Genetics.
authors.forename: Timothy W
authors.initials: TW
authors.lastname: Behrens
authors.affiliation: Department of Human Genetics.|Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA 94080, USA.
authors.forename: Tushar R
authors.initials: TR
authors.lastname: Bhangale
mesh_terms: D056726:Genetic Association Studies / Q000379:methods*; D015894:Genome, Human; D006801:Humans; D010641:Phenotype; D011110:Polymorphism, Genetic; D011401:Promoter Regions, Genetic; D040641:Quantitative Trait Loci; D012984:Software