Testing multiple gene interactions by the ordered combinatorial partitioning method in case–control studies | Zendy

Xing Hua | Zendy; Han Zhang | Zendy; Hong Zhang | Zendy; Yaning Yang | Zendy; Anthony Y. C. Kuk | Zendy

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Testing multiple gene interactions by the ordered combinatorial partitioning method in case–control studies

Author(s) -

Xing Hua,

Han Zhang,

Hong Zhang,

Yaning Yang,

Anthony Y. C. Kuk

Publication year - 2010

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btq290

Subject(s) - multifactor dimensionality reduction , locus (genetics) , curse of dimensionality , computer science , exponential function , genotype , mathematics , mathematical optimization , statistics , algorithm , gene , biology , genetics , mathematical analysis , single nucleotide polymorphism

The multifactor-dimensionality reduction (MDR) method has been widely used in multi-locus interaction analysis. It reduces dimensionality by partitioning the multi-locus genotypes into a high-risk group and a low-risk group according to whether the genotype-specific risk ratio exceeds a fixed threshold or not. Alternatively, one can maximize the chi(2) value exhaustively over all possible ways of partitioning the multi-locus genotypes into two groups, and we aim to show that this is computationally feasible.

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