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An Efficient Gatekeeper Algorithm for Detecting GxE

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2823 Article Views

Publication Date: 12 May 2010

Journal: Cancer Informatics

Citation: Cancer Informatics 2010:9 115-120

doi: 10.4137/CIN.S4731

CI journal

689,482 Article Views

8,102,578 Libertas Article Views

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Abstract

The risk for many complex diseases is believed to be a result of the interactive effects of genetic and environmental factors. Developing efficient techniques to identify gene-environment interactions (GxE) is important for unraveling the etiologic basis of many modern day diseases including cancer. The problem of false positives and false negatives continues to pose significant roadblocks to detecting GxE and informing targeted public health screening and intervention. A heuristic gatekeeper method is presented to guide the selection of single nucleotide polymorphisms (SNPs) in the design phase of a GxE study.


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