Statistical Approaches To Gene X Environment Interactions For Complex Phenotypes by Michael WindleStatistical Approaches To Gene X Environment Interactions For Complex Phenotypes by Michael Windle

Statistical Approaches To Gene X Environment Interactions For Complex Phenotypes

EditorMichael Windle

Hardcover | July 8, 2016

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Diverse methodological and statistical approaches for investigating the role of gene-environment interactions in a range of complex diseases and traits.

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 different statistical approaches or strategies to address G × E and G × G interactions with high-throughput sequenced data, including two-stage procedures to identify G × E and G × G interactions, marker-set approaches to assessing interactions at the gene level, and the use of a partial-least square (PLS) approach. The contributors then turn to specific complex phenotypes, research designs, or combined methods that may advance the study of G × E interactions, considering such topics as randomized clinical trials in obesity research, longitudinal research designs and statistical models, and the development of polygenic scores to investigate G × E interactions.

ContributorsFatima Umber Ahmed, Yin-Hsiu Chen, James Y. Dai, Caroline Y. Doyle, Zihuai He, Li Hsu, Shuo Jiao, Erin Loraine Kinnally, Yi-An Ko, Charles Kooperberg, Seunggeun Lee, Arnab Maity, Jeanne M. McCaffery, Bhramar Mukherjee, Sung Kyun Park, Duncan C. Thomas, Alexandre Todorov, Jung-Ying Tzeng, Tao Wang, Michael Windle, Min Zhang

Michael Windle is Professor of Public Health in the Department of Behavioral Sciences and Health Education at Emory University.
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Title:Statistical Approaches To Gene X Environment Interactions For Complex PhenotypesFormat:HardcoverDimensions:304 pages, 9 × 6 × 0.56 inPublished:July 8, 2016Publisher:The MIT PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0262034689

ISBN - 13:9780262034685

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