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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Veröffentlicht in:	American journal of human genetics Jg. 94; H. 5; S. 662
Hauptverfasser:	Aschard, Hugues, Vilhjálmsson, Bjarni J, Greliche, Nicolas, Morange, Pierre-Emmanuel, Trégouët, David-Alexandre, Kraft, Peter
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.05.2014
Schlagworte:	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
Online-Zugang:	Weitere Angaben
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