title: MultiMeta: an R package for meta-analyzing multi-phenotype genome-wide association studies.
abstract: As new methods for multivariate analysis of genome wide association studies become available, it is important to be able to combine results from different cohorts in a meta-analysis. The R package MultiMeta provides an implementation of the inverse-variance-based method for meta-analysis, generalized to an n-dimensional setting.
  
  
  METHODS
  The R package MultiMeta can be downloaded from CRAN.
  
  
  BACKGROUND
  dragana.vuckovic@burlo.trieste.it; vi1@sanger.ac.uk
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Medical, Surgical and Health Sciences, University of Trieste, 34100 Trieste, Italy.
authors.forename: D
authors.initials: D
authors.lastname: Vuckovic
authors.affiliation: Department of Medical, Surgical and Health Sciences, University of Trieste, 34100 Trieste, Italy, Medical Genetics, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", 34100 Trieste, Italy.
authors.forename: P
authors.initials: P
authors.lastname: Gasparini
authors.affiliation: Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, Department of Haematology, University of Cambridge, Cambridge CB2 0AH and.
authors.forename: N
authors.initials: N
authors.lastname: Soranzo
authors.affiliation: Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, EMBL-EBI, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK.
authors.forename: V
authors.initials: V
authors.lastname: Iotchkova
mesh_terms: D056426:Genetic Loci; D055106:Genome-Wide Association Study / Q000379:methods*; D006801:Humans; D015201:Meta-Analysis as Topic; D015999:Multivariate Analysis; D010641:Phenotype; D012984:Software