Article
MGAS: a powerful tool for multivariate gene-based genome-wide association analysis.
Bioinformatics (Oxford, England) - 1 Apr 2015
Van der Sluis Sophie, Dolan Conor V, Li Jiang, Song Youqiang, Sham Pak, Posthuma Danielle, Li Miao-Xin
Abstract excerpt
MOTIVATION: Standard genome-wide association studies, testing the association between one phenotype and a large number of single nucleotide polymorphisms (SNPs), are limited in two ways: (i) traits are often multivariate, and analysis of composite scores entails loss in statistical power and (ii) gene-based analyses may be preferred, e.g. to decrease the multiple testing problem. RESULTS: Here we present a new...
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