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

Genet Epidemiol 2009 ;33 Suppl 1:S58-67

Division of Statistical Genomics and Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63108, USA.

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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http://dx.doi.org/10.1002/gepi.20474DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692280PMC
March 2010
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