Asymptotic distribution for epistatic tests in case-control studies

Tian Liu, A. Thalamuthu, J. J. Liu, C. Chen, Zhong Wang, Rongling Wu

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

We propose a statistical model for dissecting a multilocus genotypic value into its main (additive and dominant) effects and epistatic effects between different loci in a case-control association study. The model can discern four different kinds of epistasis, additive×additive, additive×dominant, dominant×additive, and dominant×dominant interactions. To test each kind of epistasis, a X 2 test statistic was computed for a two by two contingency table derived from combined genotypes in both case and control groups. We derived an analytical approach for estimating the asymptotic distribution of the X 2 test statistic for epistatic tests under the null hypothesis, with the result being consistent with that from Monte Carlo simulations. The new model was used to analyze a case-control data set for candidate gene studies of stroke, leading to the identification of several significant interactions between causal SNPs on this disease.

Original languageEnglish (US)
Pages (from-to)145-151
Number of pages7
JournalGenomics
Volume98
Issue number2
DOIs
StatePublished - Aug 1 2011

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Case-Control Studies
Statistical Models
Single Nucleotide Polymorphism
Stroke
Genotype
Control Groups
Genes
Datasets

All Science Journal Classification (ASJC) codes

  • Genetics

Cite this

Liu, Tian ; Thalamuthu, A. ; Liu, J. J. ; Chen, C. ; Wang, Zhong ; Wu, Rongling. / Asymptotic distribution for epistatic tests in case-control studies. In: Genomics. 2011 ; Vol. 98, No. 2. pp. 145-151.
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Liu, T, Thalamuthu, A, Liu, JJ, Chen, C, Wang, Z & Wu, R 2011, 'Asymptotic distribution for epistatic tests in case-control studies', Genomics, vol. 98, no. 2, pp. 145-151. https://doi.org/10.1016/j.ygeno.2011.05.001

Asymptotic distribution for epistatic tests in case-control studies. / Liu, Tian; Thalamuthu, A.; Liu, J. J.; Chen, C.; Wang, Zhong; Wu, Rongling.

In: Genomics, Vol. 98, No. 2, 01.08.2011, p. 145-151.

Research output: Contribution to journalArticle

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