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

D. Vuckovic, P. Gasparini, N. Soranzo, V. Iotchkova
doi: https://doi.org/10.1101/013920
D. Vuckovic
1Department of Medical, Surgical and Health Sciences, University of Trieste, 34100 Trieste, Italy
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  • For correspondence: Dragana.vuckovic@burlo.trieste.it Vi1@sanger.ac.uk
P. Gasparini
1Department of Medical, Surgical and Health Sciences, University of Trieste, 34100 Trieste, Italy
2Medical Genetics, Institute for Maternal and Child Health IRCCS “Burlo Garofolo”, 34100 Trieste, Italy
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N. Soranzo
3Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK
4Department of Haematology, University of Cambridge, Cambridge CB2 0AH, UK
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V. Iotchkova
3Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK
5European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK
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  • For correspondence: Dragana.vuckovic@burlo.trieste.it Vi1@sanger.ac.uk
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Abstract

Summary As new methods for multivariate analysis of Genome Wide Association Studies (GWAS) 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 The R package MultiMeta can be downloaded from CRAN Contact: dragana.vuckovic{at}burlo.trieste.it

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 16, 2015.
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MultiMeta: an R package for meta-analysing multi-phenotype genome-wide association studies
D. Vuckovic, P. Gasparini, N. Soranzo, V. Iotchkova
bioRxiv 013920; doi: https://doi.org/10.1101/013920
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MultiMeta: an R package for meta-analysing multi-phenotype genome-wide association studies
D. Vuckovic, P. Gasparini, N. Soranzo, V. Iotchkova
bioRxiv 013920; doi: https://doi.org/10.1101/013920

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