title: TreeQTL: hierarchical error control for eQTL findings.
abstract: : Commonly used multiplicity adjustments fail to control the error rate for reported findings in many expression quantitative trait loci (eQTL) studies. TreeQTL implements a hierarchical multiple testing procedure which allows control of appropriate error rates defined relative to a grouping of the eQTL hypotheses.
  
  
  
  The R package TreeQTL is available for download at http://bioinformatics.org/treeqtl
  
  
  
  sabatti@stanford.edu
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Health Research and Policy, Stanford University, Stanford, CA 94305, USA.
authors.forename: C B
authors.initials: CB
authors.lastname: Peterson
authors.affiliation: Faculty of Industrial Engineering and Management, Technion, Haifa 32000, Israel.
authors.forename: M
authors.initials: M
authors.lastname: Bogomolov
authors.affiliation: Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 6997801, Israel.
authors.forename: Y
authors.initials: Y
authors.lastname: Benjamini
authors.affiliation: Departments of Biomedical Data Science and Statistics, Stanford University, Stanford, CA 94305, USA.
authors.forename: C
authors.initials: C
authors.lastname: Sabatti
mesh_terms: D006801:Humans; D040641:Quantitative Trait Loci; D012984:Software