Epistasis Blog

From the Artificial Intelligence Innovation Lab at Cedars-Sinai Medical Center (www.epistasis.org)

Monday, June 09, 2014

Validated context-dependent associations of coronary heart disease risk with genotype variation

An absolutely fabulous paper from Charlie Sing and Andy Clark on the context-dependent effects of GWAS hits. A must read for anyone that believes, as I do, that the assumption of simplicity of genetic architecture is not realistic for most biological traits in humans. I have included below a paper for the PRIM method they used. Also worth a read.

Lusk CM, Dyson G, Clark AG, Ballantyne CM, Frikke-Schmidt R, Tybj√¶rg-Hansen A, Boerwinkle E, Sing CF. Validated context-dependent associations of coronary heart disease risk with genotype variation in the chromosome 9p21 region: the Atherosclerosis Risk in Communities study. Hum Genet. 2014 Jun 3. [PubMed]

Dyson G, Sing CF. Efficient identification of context dependent subgroups of risk from genome-wide association studies. Stat Appl Genet Mol Biol. 2014 Apr 1;13(2):217-26. [PubMed]

Dyson G, Frikke-Schmidt R, Nordestgaard BG, Tybjaerg-Hansen A, Sing CF. Modifications to the Patient Rule-Induction Method that utilize non-additive combinations of genetic and environmental effects to define partitions that predict ischemic heart disease. Genet Epidemiol. 2009 May;33(4):317-24. [PubMed]