Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction.

ABSTRACT:

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Background

Multifactor Dimensionality Reduction (MDR) has been widely applied to detect gene-gene (GxG) interactions associated with complex diseases. Existing MDR methods summarize disease risk by a dichotomous predisposing model (high-risk/low-risk) from one optimal GxG interaction, which does not take the accumulated effects from multiple GxG interactions into account.

Results

We propose an Aggregated-Multifactor Dimensionality Reduction (A-MDR) method that exhaustively searches for and detects significant GxG interactions to generate an epistasis enriched gene network. An aggregated epistasis enriched risk score, which takes into account multiple GxG interactions simultaneously, replaces the dichotomous predisposing risk variable and provides higher re

SUBMITTER: Dai H 

PROVIDER: S-EPMC3560267 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature