Efficient simulation of epistatic interactions in case-parent trios

Qing Li, Holger Schwender, Thomas A. Louis, M. Daniele Fallin, Ingo Ruczinski

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)12-22
Number of pages11
JournalHuman Heredity
Issue number1
StatePublished - May 1 2013


  • Case-parent trios
  • Haplotypes
  • Interactions
  • Single nucleotide polymorphisms

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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