The challenge of detecting epistasis (G x G interactions): Genetic Analysis Workshop 16.

Genetic Epidemiology
Ping AnMichael A Province

Abstract

Interest is increasing in epistasis as a possible source of the unexplained variance missed by genome-wide association studies. The Genetic Analysis Workshop 16 Group 9 participants evaluated a wide variety of classical and novel analytical methods for detecting epistasis, in both the statistical and machine learning paradigms, applied to both real and simulated data. Because the magnitude of epistasis is clearly relative to scale of penetrance, and therefore to some extent, to the choice of model framework, it is not surprising that strong interactions under one model might be minimized or even disappear entirely under a different modeling framework.

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Citations

Jul 10, 2013·Journal of Cardiovascular Translational Research·David E LanfearHani N Sabbah
Oct 5, 2010·PLoS Genetics·Xuesen WuMomiao Xiong
Feb 22, 2012·PLoS Genetics·Marit Ackermann, Andreas Beyer
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Nov 20, 2009·Genetic Epidemiology·Duncan C Thomas

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