A General Model for Multilocus Epistatic Interactions in Case-Control Studies

Zhong Wang, Tian Liu, Zhenwu Lin, John Hegarty, Walter A Koltun and Rongling Wu

PLOS ONE, 2010, vol. 5, issue 8, 1-9

Abstract: Background: Epistasis, i.e., the interaction of alleles at different loci, is thought to play a central role in the formation and progression of complex diseases. The complexity of disease expression should arise from a complex network of epistatic interactions involving multiple genes. Methodology: We develop a general model for testing high-order epistatic interactions for a complex disease in a case-control study. We incorporate the quantitative genetic theory of high-order epistasis into the setting of cases and controls sampled from a natural population. The new model allows the identification and testing of epistasis and its various genetic components. Conclusions: Simulation studies were used to examine the power and false positive rates of the model under different sampling strategies. The model was used to detect epistasis in a case-control study of inflammatory bowel disease, in which five SNPs at a candidate gene were typed, leading to the identification of a significant three-locus epistasis.

Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0011384

DOI: 10.1371/journal.pone.0011384

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