Gene regulatory network approaches to interpreting breast cancer GWAS results

Abstract:: Abstract Six years after the publication of the first breast cancer GWAS, skepticism is expressed about the usefulness of the results. The GWAS loci identified to date explain only a minority of the estimated genetic variance, and the risks conferred by even the strongest individual variants are small. Classical biochemical pathway approaches to elucidating mechanism have had modest success. I will argue that an attempt to examine the combined effects by common and rare variants and their interactions through analysis based on gene regulatory networks may yield new and useful information. Although still speculative, I will present initial data that provide support for this approach. Citation Format: Bruce A. J. Ponder, Kerstin Meyer, Michael Fletcher, Florian Markowetz, Ines de Santiago, Mauro Castro. Gene regulatory network approaches to interpreting breast cancer GWAS results. [abstract]. In: Proceedings of the AACR Special Conference: Cancer Susceptibility and Cancer Susceptibility Syndromes; Jan 29-Feb 1, 2014; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(23 Suppl):Abstract nr IA01. doi:10.1158/1538-7445.CANSUSC14-IA01

Authors:: BAJ Ponder, K Meyer, M Fletcher, F Markowetz, I de Santiago, M Castro

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