Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studies

Many human traits are highly correlated. This correlation can be leveraged to improve the power of genetic association tests to identify markers associated with one or more of the traits. Principal component analysis (PCA) is a useful tool that has been widely used for the multivariate analysis of c...

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Vydané v:	American journal of human genetics Ročník 94; číslo 5; s. 662
Hlavní autori:	Aschard, Hugues, Vilhjálmsson, Bjarni J, Greliche, Nicolas, Morange, Pierre-Emmanuel, Trégouët, David-Alexandre, Kraft, Peter
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.05.2014
Predmet:	Genome-Wide Association Study - statistics & numerical data Humans Models, Genetic Phenotype Polymorphism, Single Nucleotide Principal Component Analysis - methods Quantitative Trait, Heritable Venous Thrombosis - genetics
ISSN:	1537-6605, 1537-6605
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