Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independence
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چکیده
منابع مشابه
Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independence.
It is important to investigate whether genetic susceptibility variants exercise the same effects in populations that are differentially exposed to environmental risk factors. Here, we assess the power of four two-stage case-control design strategies for assessing multiplicative gene-environment (G-E) interactions or for assessing genetic or environmental effects in the presence of G-E interacti...
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To detect gene-environment interactions, a logistic regression model is typically fitted to a set of case-control data, and the focus is on testing of the cross-product terms (gene × environment) in the model. A significant result is indicative of a gene-environment interaction under a multiplicative model for disease odds. Based on the sufficient-cause model for rates, in this paper we put for...
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Many diseases result from the interactions between genes and the environment. An efficient method has been proposed for a case-control study to estimate the genetic and environmental main effects and their interactions, which exploits the assumptions of gene-environment independence and Hardy-Weinberg equilibrium. To estimate the absolute and relative risks, one needs to resort to an alternativ...
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Hardy-Weinberg equilibrium (HWE) holds when, in a closed population with random mating and without mutation and natural selection, genotype frequencies at any locus is a simple function of allele frequencies. Testing for HWE is now a common practice in population genetics and genetic association studies of non-communicable diseases; however, it is less-regarded, or sometimes miss-interpreted, i...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2012
ISSN: 0277-6715
DOI: 10.1002/sim.4460