Review of Statistical Methods for Gene-Environment Interaction Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
http://link.springer.com/article/10.1007/s40471-018-0135-2/fulltext.html
Reference39 articles.
1. Eichler EE, Flint J, Gibson G, Kong A, Leal SM, Moore JH, et al. Missing heritability and strategies for finding the underlying causes of complex disease. Nat Rev Genet. 2010;11(6):446–50. https://doi.org/10.1038/nrg2809 .
2. Thompson WD. Effect modification and the limits of biological inference from epidemiologic data. J Clin Epidemiol. 1991;44(3):221–32. https://doi.org/10.1016/0895-4356(91)90033-6 .
3. Ottman R. Gene–environment interaction: definitions and study design. Prev Med. 1996;25(6):764–70. https://doi.org/10.1006/pmed.1996.0117 .
4. • Hutter CM, Mechanic LE, Chatterjee N, Kraft P, Gillanders EM. Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank Report. Genet Epidemiol. 2013;37(7):643–57. Summarizes contemporary analytic methods for G × E interactions, provides an overview of motivation for performing G × E analysis, and discusses key considerations for analysis in case-control or nested case-control studies, and comments on interpretation of G × E interactions. https://doi.org/10.1002/gepi.21756 .
5. • Maas P, Barrdahl M, Joshi AD, Auer PL, Gaudet MM, Milne RL, et al. Breast cancer risk from modifiable and nonmodifiable risk factors among white women in the United States. JAMA Oncol. 2016;2(10):1295–302. Evaluates combined risk stratification utility of common low penetrant single nucleotide polymorphisms (SNPs) and epidemiologic risk factors for breast cancer. Their model for absolute risk of breast cancer including SNPs can provide stratification for the population of white women in the United States and also can identify subsets of the population at an elevated risk that would benefit most from risk-reduction strategies based on altering modifiable factors. https://doi.org/10.1001/jamaoncol.2016.1025 .
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