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Article

Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix.

Heredity - 1 Dec 2014

Gao H, Wu Y, Zhang T, Wu Y, Jiang L, Zhan J, Li J, Yang R

Abstract excerpt

Given the drawbacks of implementing multivariate analysis for mapping multiple traits in genome-wide association study (GWAS), principal component analysis (PCA) has been widely used to generate independent 'super traits' from the original multivariate phenotypic traits for the univariate analysis. However, parameter estimates in this framework may not be the same as those from the joint analysis of all traits,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 24984606
DOI: 10.1038/hdy.2014.57
PMCID: PMC4274615

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