An information-gain approach to detecting three-way epistatic interactions in genetic association studies.

doi:10.1136/amiajnl-2012-001525

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Article

An information-gain approach to detecting three-way epistatic interactions in genetic association studies.

Journal of the American Medical Informatics Association : JAMIA - 1 Jan 2000

Hu Ting, Chen Yuanzhu, Kiralis Jeff W, Collins Ryan L, Wejse Christian, Sirugo Giorgio, Williams Scott M, Moore Jason H

Abstract excerpt

BACKGROUND: Epistasis has been historically used to describe the phenomenon that the effect of a given gene on a phenotype can be dependent on one or more other genes, and is an essential element for understanding the association between genetic and phenotypic variations. Quantifying epistasis of orders higher than two is very challenging due to both the computational complexity of enumerating all possible...

Topics

Computational Biology
Epistasis, Genetic
Genetic Association Studies
Genetic Predisposition to Disease
Humans
Information Theory
Statistics, Nonparametric

Source

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Identifiers

PMID: 23396514
DOI: 10.1136/amiajnl-2012-001525
PMCID: PMC3721169

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