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

Dragana Vuckovic | Zendy; Paolo Gasparini | Zendy; Nicole Soranzo | Zendy; Valentina Iotchkova | Zendy

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

Author(s) -

Dragana Vuckovic,

Paolo Gasparini,

Nicole Soranzo,

Valentina Iotchkova

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv222

Subject(s) - r package , computer science , multivariate statistics , genome wide association study , meta analysis , computational biology , data mining , biology , genotype , genetics , programming language , single nucleotide polymorphism , medicine , machine learning , gene

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.

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