PT - JOURNAL ARTICLE AU - Gad Abraham AU - Oneil G. Bhalala AU - Paul I.W. de Bakker AU - Samuli Ripatti AU - Michael Inouye TI - Towards a molecular systems model of coronary artery disease AID - 10.1101/003525 DP - 2014 Jan 01 TA - bioRxiv PG - 003525 4099 - http://biorxiv.org/content/early/2014/03/23/003525.short 4100 - http://biorxiv.org/content/early/2014/03/23/003525.full AB - Coronary artery disease (CAD) is a complex disease driven by myriad interactions of genetics and environmental factors. Traditionally, studies have analyzed only one disease factor at a time, providing useful but limited understanding of the underlying etiology. Recent advances in cost-effective and high-throughput technologies, such as single nucleotide polymorphism (SNP) genotyping, exome/genome sequencing, gene expression microarrays and metabolomics assays have enabled the collection of millions of data points in many thousands of individuals. In order to make sense of such ‘omics’ data, effective analytical methods are needed. We review and highlight some of the main results in this area, focusing on integrative approaches that consider multiple modalities simultaneously. Such analyses have the potential to uncover the genetic basis of CAD, produce genomic risk scores (GRS) for disease prediction, disentangle the complex interactions underlying disease, and predict response to treatment.