RT Journal Article SR Electronic T1 Towards a molecular systems model of coronary artery disease JF bioRxiv FD Cold Spring Harbor Laboratory SP 003525 DO 10.1101/003525 A1 Gad Abraham A1 Oneil G. Bhalala A1 Paul I.W. de Bakker A1 Samuli Ripatti A1 Michael Inouye YR 2014 UL http://biorxiv.org/content/early/2014/03/23/003525.abstract 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.