{"product_id":"statistical-approaches-to-gene-x-environment-interactions-for-complex-phenotypes-michael-windle-978","title":"Statistical Approaches to Gene X Environment Interactions for Complex Phenotypes","description":"\u003cp\u003e\u003cb\u003eDiverse methodological and statistical approaches for investigating the role of gene-environment interactions in a range of complex diseases and traits.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eFindings 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. \u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eContributors\u003c\/b\u003e\u003cbr\u003eFatima 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\u003c\/p\u003e","brand":"MIT Press","offers":[{"title":"Default Title","offer_id":48817334878401,"sku":"9780262034685","price":50.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0781\/5512\/0833\/files\/9780262034685.jpg?v=1733127036","url":"https:\/\/www.porchlightbooks.com\/products\/statistical-approaches-to-gene-x-environment-interactions-for-complex-phenotypes-michael-windle-978","provider":"Porchlight Book Company","version":"1.0","type":"link"}