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Article

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

Bioinformatics (Oxford, England) - 1 Jul 2016

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

Abstract excerpt

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. Currently, modest sample sizes of individual cohorts, and restricted availability of individual-level...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 27153689
DOI: 10.1093/bioinformatics/btw052
PMCID: PMC4920109

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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