Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases

Kimberly A. McAllister(National Institutes of Health), Leah E. Mechanic(National Institutes of Health), Christopher I. Amos(Dartmouth College), Hugues Aschard(Institut Pasteur), Ian A. Blair, Nilanjan Chatterjee(Johns Hopkins University), David V. Conti(Southern California University for Professional Studies), W. James Gauderman(University of Southern California), Li Hsu(Fred Hutch Cancer Center), Carolyn M. Hutter(National Institutes of Health), Marta M. Jankowska(University of California, San Diego), Jacqueline Kerr(University of California, San Diego), Peter Kraft(Harvard University Press), Stephen B. Montgomery(Stanford University), Bhramar Mukherjee(University of Michigan–Ann Arbor), George Papanicolaou(National Institutes of Health), Chirag J. Patel(Harvard University Press), Marylyn D. Ritchie(Pennsylvania State University), Beate Ritz(University of California, Los Angeles), Duncan C. Thomas(University of Southern California), Peng Wei(The University of Texas MD Anderson Cancer Center), John S. Witte(University of California, San Francisco), on behalf of workshop participants
American Journal of Epidemiology
June 8, 2017
10.1093/aje/kwx227
Cited by 218Open Access
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Abstract

Recently, many new approaches, study designs, and statistical and analytical methods have emerged for studying gene-environment interactions (G×Es) in large-scale studies of human populations. There are opportunities in this field, particularly with respect to the incorporation of -omics and next-generation sequencing data and continual improvement in measures of environmental exposures implicated in complex disease outcomes. In a workshop called "Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases," held October 17-18, 2014, by the National Institute of Environmental Health Sciences and the National Cancer Institute in conjunction with the annual American Society of Human Genetics meeting, participants explored new approaches and tools that have been developed in recent years for G×E discovery. This paper highlights current and critical issues and themes in G×E research that need additional consideration, including the improved data analytical methods, environmental exposure assessment, and incorporation of functional data and annotations.

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