Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studies.
Aschard, Hugues
Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studies. [electronic resource] - American journal of human genetics May 2014 - 662-76 p. digital
Publication Type: Evaluation Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
1537-6605
10.1016/j.ajhg.2014.03.016 doi
Genome-Wide Association Study--statistics & numerical data
Humans
Models, Genetic
Phenotype
Polymorphism, Single Nucleotide
Principal Component Analysis--methods
Quantitative Trait, Heritable
Venous Thrombosis--genetics
Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studies. [electronic resource] - American journal of human genetics May 2014 - 662-76 p. digital
Publication Type: Evaluation Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
1537-6605
10.1016/j.ajhg.2014.03.016 doi
Genome-Wide Association Study--statistics & numerical data
Humans
Models, Genetic
Phenotype
Polymorphism, Single Nucleotide
Principal Component Analysis--methods
Quantitative Trait, Heritable
Venous Thrombosis--genetics