MultiMeta: an R package for meta-analyzing multi-phenotype genome-wide association studies

D Vuckovic; P Gasparini; N Soranzo; V Iotchkova

doi:10.1093/bioinformatics/btv222

MultiMeta: an R package for meta-analyzing multi-phenotype genome-wide association studies

Bioinformatics. 2015 Aug 15;31(16):2754-6. doi: 10.1093/bioinformatics/btv222. Epub 2015 Apr 22.

Authors

D Vuckovic¹, P Gasparini², N Soranzo³, V Iotchkova⁴

Affiliations

¹ Department of Medical, Surgical and Health Sciences, University of Trieste, 34100 Trieste, Italy.
² 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.
³ Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, Department of Haematology, University of Cambridge, Cambridge CB2 0AH and.
⁴ Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, EMBL-EBI, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK.

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.

Availability and implementation: The R package MultiMeta can be downloaded from CRAN.

Contact: dragana.vuckovic@burlo.trieste.it; vi1@sanger.ac.uk

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Genetic Loci
Genome-Wide Association Study / methods*
Humans
Meta-Analysis as Topic*
Multivariate Analysis
Phenotype
Software*

Abstract

Publication types

MeSH terms

Grants and funding