title: Efficient simulation of epistatic interactions in case-parent trios.
abstract: Statistical approaches to evaluate interactions between single nucleotide polymorphisms (SNPs) and SNP-environment interactions are of great importance in genetic association studies, as susceptibility to complex disease might be related to the interaction of multiple SNPs and/or environmental factors. With these methods under active development, algorithms to simulate genomic data sets are needed to ensure proper type I error control of newly proposed methods and to compare power with existing methods. In this paper we propose an efficient method for a haplotype-based simulation of case-parent trios when the disease risk is thought to depend on possibly higher-order epistatic interactions or gene-environment interactions with binary exposures.
authors.affiliation: Statistical Genetics Section, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA.
authors.forename: Qing
authors.initials: Q
authors.lastname: Li
authors.forename: Holger
authors.initials: H
authors.lastname: Schwender
authors.forename: Thomas A
authors.initials: TA
authors.lastname: Louis
authors.forename: M Daniele
authors.initials: MD
authors.lastname: Fallin
authors.forename: Ingo
authors.initials: I
authors.lastname: Ruczinski
mesh_terms: D003198:Computer Simulation; D004843:Epistasis, Genetic; D059647:Gene-Environment Interaction; D020022:Genetic Predisposition to Disease; D006239:Haplotypes; D006801:Humans; D008957:Models, Genetic; D010290:Parents; D020641:Polymorphism, Single Nucleotide
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