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

D. Vuckovic, P. Gasparini, N. Soranzo, V. Iotchkova

IRCCS pediatrico Burlo Garofolo

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	2754-2756
Number of pages	3
Journal	Bioinformatics
Volume	31
Issue number	16
DOIs	https://doi.org/10.1093/bioinformatics/btv222
Publication status	Published - Jan 19 2015

ASJC Scopus subject areas

Biochemistry
Molecular Biology
Computational Theory and Mathematics
Computer Science Applications
Computational Mathematics
Statistics and Probability

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10.1093/bioinformatics/btv222

Cite this

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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.",

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

Abstract

ASJC Scopus subject areas

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