Genome-wide Interaction Analysis Guided by A Priori Information

Tim Becker & Christine Herold
Complex diseases are caused by interacting genetic and environmental factors. Due to computational burden, genome-wide association studies (GWAS) are typically limited to single-marker analysis. We present an approach for genome-wide interaction analysis that overcomes the computational issue by prioritizing[for full text, please go to the a.m. URL]