Comparison of 2 models for gene–environment interactions: an example of simulated gene–medication interactions on systolic blood pressure in family-based data
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- 作者：Lindsay Fernández-Rhodes ; Chani J. Hodonsky ; Mariaelisa Graff…
- 刊名：BMC Proceedings
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：10
- 期：7-supp
- 页码：371-377
- 全文大小：421 KB
- 刊物主题：Medicine/Public Health, general;
- 出版者：BioMed Central
- ISSN：1753-6561
- 卷排序：10
文摘
BackgroundNearly half of adults in the United States who are diagnosed with hypertension use blood-pressure-lowering medications. Yet there is a large interindividual variability in the response to these medications. Two complementary gene–environment interaction methods have been published and incorporated into publicly available software packages to examine interaction effects, including whether genetic variants modify the association between medication use and blood pressure. The first approach uses a gene–environment interaction term to measure the change in outcome when both the genetic marker and medication are present (the “interaction model”). The second approach tests for effect-size differences between strata of an environmental exposure (the “med-diff” approach). However, no studies have quantitatively compared how these methods perform with respect to 1 or 2 degree of freedom (DF) tests or in family-based data sets. We evaluated these 2 approaches using simulated genotype–medication response interactions at 3 single nucleotide polymorphisms (SNPs) across a range of minor allele frequencies (MAFs 0.1–5.4 %) using the Genetic Analysis Workshop 19 family sample.