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

10.1371/journal.pone.0053320

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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
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1613562024-03-27T08:10:59Z Genome-Wide Pathway Association Studies of Multiple Correlated Quantitative Phenotypes Using Principle Component Analyses Zhang F. Guo X. Wu S. Han J. Liu Y. Shen H. Deng H.-W. MICROBIOLOGY AND IMMUNOLOGY 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 10.1371/journal.pone.0053320 PLoS ONE 7 12 e53320 2019-11-04T06:32:16Z 2019-11-04T06:32:16Z 2012 Article Zhang F., Guo X., Wu S., Han J., Liu Y., Shen H., Deng H.-W. (2012). Genome-Wide Pathway Association Studies of Multiple Correlated Quantitative Phenotypes Using Principle Component Analyses. PLoS ONE 7 (12) : e53320. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0053320 19326203 https://scholarbank.nus.edu.sg/handle/10635/161356 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	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
spellingShingle	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 Zhang F. Guo X. Wu S. Han J. Liu Y. Shen H. Deng H.-W. Genome-Wide Pathway Association Studies of Multiple Correlated Quantitative Phenotypes Using Principle Component Analyses
description	10.1371/journal.pone.0053320
author2	MICROBIOLOGY AND IMMUNOLOGY
author_facet	MICROBIOLOGY AND IMMUNOLOGY Zhang F. Guo X. Wu S. Han J. Liu Y. Shen H. Deng H.-W.
format	Article
author	Zhang F. Guo X. Wu S. Han J. Liu Y. Shen H. Deng H.-W.
author_sort	Zhang F.
title	Genome-Wide Pathway Association Studies of Multiple Correlated Quantitative Phenotypes Using Principle Component Analyses
title_short	Genome-Wide Pathway Association Studies of Multiple Correlated Quantitative Phenotypes Using Principle Component Analyses
title_full	Genome-Wide Pathway Association Studies of Multiple Correlated Quantitative Phenotypes Using Principle Component Analyses
title_fullStr	Genome-Wide Pathway Association Studies of Multiple Correlated Quantitative Phenotypes Using Principle Component Analyses
title_full_unstemmed	Genome-Wide Pathway Association Studies of Multiple Correlated Quantitative Phenotypes Using Principle Component Analyses
title_sort	genome-wide pathway association studies of multiple correlated quantitative phenotypes using principle component analyses
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/161356
_version_	1795300770092941312

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

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