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.
Original language | English (US) |
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Pages (from-to) | 12-22 |
Number of pages | 11 |
Journal | Human Heredity |
Volume | 75 |
Issue number | 1 |
DOIs | |
State | Published - May 2013 |
Keywords
- Case-parent trios
- Haplotypes
- Interactions
- Single nucleotide polymorphisms
ASJC Scopus subject areas
- Genetics
- Genetics(clinical)