Genome-Wide Pathway Association Studies of Multiple Correlated Quantitative Phenotypes Using Principle Component Analyses

• Main Authors: Zhang F., Guo X., Wu S., Han J., Liu Y., Shen H., Deng H.-W.
• Other Authors: MICROBIOLOGY AND IMMUNOLOGY
• Format: Article
• Published: 2019
• Subjects: article; bone density; error; genetic association; heredity; hip; human; multiphenotypes pathway association study; phenotype; power analysis; principal component analysis; quantitative analysis; sample size; simulation; single nucleotide polymorphism; spine; trend study; Automatic Data Processing; Bone Density; Computer Simulation; Female; Genetic Predisposition to Disease; Genome-Wide Association Study; HapMap Project; Hip; Humans; Male; Metabolic Networks and Pathways; Phenotype; Principal Component Analysis; Quantitative Trait Loci; Spine
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/161356
• Institution: National University of Singapore

10.1371/journal.pone.0053320