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Statistical Approaches to Gene X Environment Interactions for Complex Phenotypes
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Statistical Approaches to Gene X Environment Interactions for Complex Phenotypes

Michael Windle

Abstract

Findings from the Human Genome Project and from Genome-Wide Association (GWA) studies indicate that many diseases and traits manifest a more complex genomic pattern than previously assumed. These findings, and advances in high-throughput sequencing, suggest that there are many sources of influence—genetic, epigenetic, and environmental. This volume investigates the role of the interactions of genes and environment (G × E) in diseases and traits (referred to by the contributors as complex phenotypes) including depression, diabetes, obesity, and substance use.  The contributors first present dif ... More

Keywords: Human Genome Project, Genome-Wide Association (GWA), partial-least square (PLS) approach, Genes and Environment (G × E) interactions, complex phenotypes, genetic, epigenetic, environmental influences, research designs, diseases and traits

Bibliographic Information

Print publication date: 2016 Print ISBN-13: 9780262034685
Published to University Press Scholarship Online: May 2017 DOI:10.7551/mitpress/9780262034685.001.0001

Authors

Affiliations are at time of print publication.

Michael Windle, editor

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Contents

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Front Matter

8 Statistical Strategies for Modeling Gene × Environment Interactions in Longitudinal Cohort Studies

Bhramar Mukherjee, Yin-Hsiu Chen, Yi-An Ko, Zihuai He, Seunggeun Lee, Min Zhang, and Sung Kyun Park

End Matter