- Title Pages
1Introduction and Overview of Statistical Approaches to Gene × Environment Interactions for Complex Phenotypes
2Two-Stage Procedures for the Identification of Gene × Environment and Gene × Gene Interactions in Genome-Wide Association Studies
3Marker-Set Approaches for Assessing Gene × Environment Interactions at Gene Level
4Set-Based Gene × Environment Interaction Tests for Complex Diseases with Application to Genome-Wide Association and Sequencing Studies
5A Gene-Based Approach for Testing Gene × Gene and Gene × Environment Interactions
6An Overview of the RELIEF Algorithm and Advancements
7Gene × Environment Interaction in Obesity: The Contribution of Randomized Clinical Trials
8Statistical Strategies for Modeling Gene × Environment Interactions in Longitudinal Cohort Studies
9Cumulative Gene × Environment Influences on Neurobehavioral Development in Humans and Nonhuman Primates
10Complex Phenotypes and the Use of Polygenic Scores to Investigate Gene × Environment Interactions for Substance Use
11A Statistical Framework for Mediation in Environmental Epigenetics
- Statistical Approaches to Gene X Environment Interactions for Complex Phenotypes
- Michael Windle
- The MIT Press
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