Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans
- PMID: 22596931
- PMCID: PMC3481885
- DOI: 10.1093/ije/dys010
Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans
Abstract
We propose guidelines to evaluate the cumulative evidence of gene-environment (G × E) interactions in the causation of human cancer. Our approach has its roots in the HuGENet and IARC Monographs evaluation processes for genetic and environmental risk factors, respectively, and can be applied to common chronic diseases other than cancer. We first review issues of definitions of G × E interactions, discovery and modelling methods for G × E interactions, and issues in systematic reviews of evidence for G × E interactions, since these form the foundation for appraising the credibility of evidence in this contentious field. We then propose guidelines that include four steps: (i) score the strength of the evidence for main effects of the (a) environmental exposure and (b) genetic variant; (ii) establish a prior score category and decide on the pattern of interaction to be expected; (iii) score the strength of the evidence for interaction between the environmental exposure and the genetic variant; and (iv) examine the overall plausibility of interaction by combining the prior score and the strength of the evidence and interpret results. We finally apply the scheme to the interaction between NAT2 polymorphism and tobacco smoking in determining bladder cancer risk.
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Comment in
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Commentary: thoughts on assessing evidence for gene by environment interaction.Int J Epidemiol. 2012 Jun;41(3):705-7. doi: 10.1093/ije/dys048. Epub 2012 May 16. Int J Epidemiol. 2012. PMID: 22596932 Free PMC article. No abstract available.
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Commentary: reporting and assessing evidence for interaction: why, when and how?Int J Epidemiol. 2012 Jun;41(3):707-10. doi: 10.1093/ije/dys069. Epub 2012 May 16. Int J Epidemiol. 2012. PMID: 22596933 Free PMC article. No abstract available.
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