TY - JOUR
T1 - Gene-environment interactions in cancer epidemiology
T2 - A national cancer institute think tank report
AU - Hutter, Carolyn M.
AU - Mechanic, Leah E.
AU - Chatterjee, Nilanjan
AU - Kraft, Peter
AU - Gillanders, Elizabeth M.
AU - Abnet, Christian C.
AU - Amos, Christopher
AU - Balshaw, David
AU - Bickeböller, Heike
AU - Bierut, Laura Jean
AU - Boffetta, Paolo
AU - Bondy, Melissa
AU - Chanock, Stephen
AU - Chen, Huann Sheng
AU - Cox, Nancy
AU - Vivo, Immaculata De
AU - Divi, Rao
AU - Dupuis, Josee
AU - Ellison, Gary
AU - Fallin, Margaret Daniele
AU - Gauderman, W. James
AU - Gillanders, Elizabeth
AU - Haiman, Christopher
AU - Hutter, Carolyn
AU - Simonds, Naoko Ishibe
AU - Iversen, Edwin
AU - Khoury, Muin J.
AU - Marchand, Loic Le
AU - McAllister, Kimberly
AU - Mechanic, Leah
AU - Peters, Ulrike
AU - Prentice, Ross
AU - Rebbeck, Timothy
AU - Reedy, Jill
AU - Rothman, Nathaniel
AU - Schully, Sheri
AU - Seminara, Daniela
AU - Shaughnessy, Daniel
AU - Shete, Sanjay
AU - Spiegelman, Donna
AU - Stram, Daniel O.
AU - Thomas, Duncan
AU - Wang, Molin
AU - Wang, Wendy
AU - Weinberg, Clarice
AU - Winn, Deborah M.
AU - Witte, John S.
PY - 2013/11
Y1 - 2013/11
N2 - Cancer risk is determined by a complex interplay of genetic and environmental factors. Genome-wide association studies (GWAS) have identified hundreds of common (minor allele frequency [MAF] > 0.05) and less common (0.01 < MAF < 0.05) genetic variants associated with cancer. The marginal effects of most of these variants have been small (odds ratios: 1.1-1.4). There remain unanswered questions on how best to incorporate the joint effects of genes and environment, including gene-environment (G × E) interactions, into epidemiologic studies of cancer. To help address these questions, and to better inform research priorities and allocation of resources, the National Cancer Institute sponsored a "Gene-Environment Think Tank" on January 10-11, 2012. The objective of the Think Tank was to facilitate discussions on (1) the state of the science, (2) the goals of G × E interaction studies in cancer epidemiology, and (3) opportunities for developing novel study designs and analysis tools. This report summarizes the Think Tank discussion, with a focus on contemporary approaches to the analysis of G × E interactions. Selecting the appropriate methods requires first identifying the relevant scientific question and rationale, with an important distinction made between analyses aiming to characterize the joint effects of putative or established genetic and environmental factors and analyses aiming to discover novel risk factors or novel interaction effects. Other discussion items include measurement error, statistical power, significance, and replication. Additional designs, exposure assessments, and analytical approaches need to be considered as we move from the current small number of success stories to a fuller understanding of the interplay of genetic and environmental factors.
AB - Cancer risk is determined by a complex interplay of genetic and environmental factors. Genome-wide association studies (GWAS) have identified hundreds of common (minor allele frequency [MAF] > 0.05) and less common (0.01 < MAF < 0.05) genetic variants associated with cancer. The marginal effects of most of these variants have been small (odds ratios: 1.1-1.4). There remain unanswered questions on how best to incorporate the joint effects of genes and environment, including gene-environment (G × E) interactions, into epidemiologic studies of cancer. To help address these questions, and to better inform research priorities and allocation of resources, the National Cancer Institute sponsored a "Gene-Environment Think Tank" on January 10-11, 2012. The objective of the Think Tank was to facilitate discussions on (1) the state of the science, (2) the goals of G × E interaction studies in cancer epidemiology, and (3) opportunities for developing novel study designs and analysis tools. This report summarizes the Think Tank discussion, with a focus on contemporary approaches to the analysis of G × E interactions. Selecting the appropriate methods requires first identifying the relevant scientific question and rationale, with an important distinction made between analyses aiming to characterize the joint effects of putative or established genetic and environmental factors and analyses aiming to discover novel risk factors or novel interaction effects. Other discussion items include measurement error, statistical power, significance, and replication. Additional designs, exposure assessments, and analytical approaches need to be considered as we move from the current small number of success stories to a fuller understanding of the interplay of genetic and environmental factors.
KW - Complex phenotypes
KW - Gene-environment interactions
KW - Genetic epidemiology
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U2 - 10.1002/gepi.21756
DO - 10.1002/gepi.21756
M3 - Article
C2 - 24123198
AN - SCOPUS:84885843711
SN - 0741-0395
VL - 37
SP - 643
EP - 657
JO - Genetic epidemiology
JF - Genetic epidemiology
IS - 7
ER -