metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis

Motivation: A dominant approach to genetic association studies is to perform univariate tests between genotype-phenotype pairs. However, analyzing related traits together increases statistical power, and certain complex associations become detectable only when several variants are tested jointly. Cu...

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Bibliografiska uppgifter
I publikationen:Bioinformatics
Huvudupphovsmän: Cichonska, Anna, Rousu, Juho, Marttinen, Pekka, Kangas, Antti J., Soininen, Pasi, Lehtimäki, Terho, Raitakari, Olli T., Järvelin, Marjo-Riitta, Salomaa, Veikko, Ala-Korpela, Mika, Ripatti, Samuli, Pirinen, Matti
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2016
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Original Papers
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4920109/
https://ncbi.nlm.nih.gov/pubmed/27153689
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw052
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