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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.

SUBMITTER: Li Q 

PROVIDER: S-EPMC3800020 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Efficient simulation of epistatic interactions in case-parent trios.

Li Qing Q   Schwender Holger H   Louis Thomas A TA   Fallin M Daniele MD   Ruczinski Ingo I  

Human heredity 20130327 1


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  ...[more]

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