title: QCGWAS: A flexible R package for automated quality control of genome-wide association results.
abstract: QCGWAS is an R package that automates the quality control of genome-wide association result files. Its main purpose is to facilitate the quality control of a large number of such files before meta-analysis. Alternatively, it can be used by individual cohorts to check their own result files. QCGWAS is flexible and has a wide range of options, allowing rapid generation of high-quality input files for meta-analysis of genome-wide association studies.
  
  
  
  http://cran.r-project.org/web/packages/QCGWAS CONTACT: i.m.nolte@umcg.nl Supplementary information: Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK.
authors.forename: Peter J
authors.initials: PJ
authors.lastname: van der Most
authors.affiliation: Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK.
authors.forename: Ahmad
authors.initials: A
authors.lastname: Vaez
authors.affiliation: Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK.
authors.forename: Bram P
authors.initials: BP
authors.lastname: Prins
authors.affiliation: Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK.
authors.forename: M Loretto
authors.initials: ML
authors.lastname: Munoz
authors.affiliation: Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK.
authors.forename: Harold
authors.initials: H
authors.lastname: Snieder
authors.affiliation: Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK.
authors.forename: Behrooz Z
authors.initials: BZ
authors.lastname: Alizadeh
authors.affiliation: Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK.
authors.forename: Ilja M
authors.initials: IM
authors.lastname: Nolte
mesh_terms: D019295:Computational Biology / Q000379:methods*; D055106:Genome-Wide Association Study; D006801:Humans; D011786:Quality Control; D012984:Software