TY - JOUR
T1 - Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases
AU - McAllister, Kimberly
AU - Mechanic, Leah E.
AU - Amos, Christopher
AU - Aschard, Hugues
AU - Blair, Ian A.
AU - Chatterjee, Nilanjan
AU - Conti, David
AU - Gauderman, W. James
AU - Hsu, Li
AU - Hutter, Carolyn M.
AU - Jankowska, Marta M.
AU - Kerr, Jacqueline
AU - Kraft, Peter
AU - Montgomery, Stephen B.
AU - Mukherjee, Bhramar
AU - Papanicolaou, George J.
AU - Patel, Chirag J.
AU - Ritchie, Marylyn D.
AU - Ritz, Beate R.
AU - Thomas, Duncan C.
AU - Wei, Peng
AU - Witte, John S.
N1 - Funding Information:
Author affiliations: Genes, Environment, and Health Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina (Kimberly McAllister); Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland (Leah E. Mechanic); Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire (Christopher Amos); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Hugues Aschard, Peter Kraft); Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France (Hugues Aschard); Center of Excellence in Environmental Toxicology and Penn SRP Center, Perelman School of Medicine, University of Pennsylvania Philadelphia, Pennsylvania (Ian A. Blair); Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania Philadelphia, Pennsylvania (Ian A. Blair); Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland (Nilanjan Chatterjee); Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, Maryland (Nilanjan Chatterjee); Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California (David Conti, W. James Gauderman, Duncan C. Thomas); Biostatistics and Biomathematics Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington (Li Hsu); Division of Genome Sciences, National Human
Funding Information:
The National Institute of Environmental Health Sciences provided funds to support “Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.” Research reported in this publication was supported by the National Cancer Institute (grants U19CA203654 and U01CA196386 to C.A.; R01CA140561, R01CA201407, and P01CA196569 to D.C.; P01CA196569 and R01CA201407 to W.J.G.; R01CA189532, R01CA195789, and P01CA53996 to L.H.; R21CA169535 and R01CA179977 to J.K.; R01CA169122 to P.W; R01CA169122; and R01CA201358 to J.S.W.), National Heart, Lung, and Blood Institute (grants R01HL116720 and R21HL126032 to P.W.), National Human Genome Research Institute (grant R21HG007687 to H.A.), the National Institute of Environmental Health Sciences (grants P30ES07048, and R21ES024844 to WJG; R21ES020811 to B.M.; R00ES023504 and R21ES025052 to C.J.P.) of the National Institutes of Health, and the National Science Foundation (grant NSF DMS 1406712 to B.M.). S.B.M. is supported by the National Institutes of Health (grants R01HG008150, R01MH101814, U01HG007436, and U01HG009080). This work is funded, in part, under a grant with the Pennsylvania Department of Health (grant SAP 4100070267) to M.D.R. We thank the participants in the workshop “Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.” The Pennsylvania Department of Health specifically disclaims responsibility for any analyses, interpretations, or conclusions. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Conflict of interest: none declared.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - 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.
AB - 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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U2 - 10.1093/aje/kwx227
DO - 10.1093/aje/kwx227
M3 - Article
C2 - 28978193
AN - SCOPUS:85030627250
VL - 186
SP - 753
EP - 761
JO - American Journal of Epidemiology
JF - American Journal of Epidemiology
SN - 0002-9262
IS - 7
ER -