Limit search to available items
Book Cover
E-book

Title Statistical approaches to gene-environment interactions for complex phenotypes / Windle, Michael, ed
Published Cambridge, MA : The MIT Press, 2016
Online access available from:
EBSCO eBook Academic Collection    View Resource Record  

Copies

Description 1 online resource
Contents Machine generated contents note: 1. Introduction and Overview of Statistical Approaches to Gene x Environment Interactions for Complex Phenotypes / Michael Windle -- 2. Two-Stage Procedures for the Identification of Gene x Environment and Gene x Gene Interactions in Genome-Wide Association Studies / Li Hsu -- 3. Marker-Set Approaches for Assessing Gene x Environment Interactions at Gene Level / Arnab Maity -- 4. Set-Based Gene x Environment Interaction Tests for Complex Diseases with Application to Genome-Wide Association and Sequencing Studies / Shuo Jiao -- 5. Gene-Based Approach for Testing Gene x Gene and Gene x Environment Interactions / Tao Wang -- 6. Overview of the RELIEF Algorithm and Advancements / Alexandre Todorov -- 7. Gene x Environment Interaction in Obesity: The Contribution of Randomized Clinical Trials / Caroline Y. Doyle -- 8. Statistical Strategies for Modeling Gene x Environment Interactions in Longitudinal Cohort Studies / Sung Kyun Park -- 9. Cumulative Gene x Environment Influences on Neurobehavioral Development in Humans and Nonhuman Primates / Erin Loraine Kinnally -- 10. Complex Phenotypes and the Use of Polygenic Scores to Investigate Gene x Environment Interactions for Substance Use / Michael Windle -- 11. Statistical Framework for Mediation in Environmental Epigenetics / Duncan C. Thomas
Notes "This edited volume stemmed from the 3rd Annual Symposium of the University of Georgia's Center for Contextual Genetics and Prevention Science (CGAPS) ... was held on June 19-20, 2012 in Athens, GA"--Preface
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Genotype-environment interaction -- Statistical methods
Genetic Phenomena -- models, statistical
SCIENCE -- Life Sciences -- Evolution.
Form Electronic book
Author Windle, Michael T., editor.
ISBN 0262335522
0262335530
9780262335522
9780262335539