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GWAS summary-based pathway analysis correcting for the genetic confounding impact of environmental exposures.

Briefings in bioinformatics - 28 Sept 2018

Fan Qianrui, Zhang Feng, Wang Wenyu, Xu Jiawen, Hao Jingcan, He Awen, Wen Yan, Li Ping, Liang Xiao, Du Yanan, Liu Li, Wu Cuiyan, Wang Sen, Wang Xi, Ning Yujie, Guo Xiong

Abstract excerpt

Genome-wide association study (GWAS)-based pathway association analysis is a powerful approach for the genetic studies of human complex diseases. However, the genetic confounding effects of environment exposure-related genes can decrease the accuracy of GWAS-based pathway association analysis of target diseases. In this study, we developed a pathway association analysis approach, named Mendelian...

Topics

Cardiovascular Diseases
Computational Biology
Computer Simulation
Environmental Exposure
Genetic Variation
Genome-Wide Association Study
Humans
Models, Genetic
Multifactorial Inheritance
Polymorphism, Single Nucleotide

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Smoking

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PMID: 28334273
DOI: 10.1093/bib/bbx025

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