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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920109/
https://www.ncbi.nlm.nih.gov/pubmed/27153689
http://dx.doi.org/10.1093/bioinformatics/btw052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920109/
https://www.ncbi.nlm.nih.gov/pubmed/27153689
http://dx.doi.org/10.1093/bioinformatics/btw052

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