This article is available online at http://www.jlr.org provided insight into the many different genetic factors that contribute to the disease ( 3-7 ). Using data acquired from thousands of patients and healthy controls, these studies have collectively identifi ed 35 genetic loci associated with CAD ( 8, 9 ). Although 10 of the recently identifi ed CAD risk loci work through known risk factors, such as lipids and blood pressure, this is not the case for the majority of loci ( 3 ), implying that key pathways leading to coronary atherosclerosis are yet to be discovered. Given their fi rm association with disease risk, novel CAD loci provide a solid foundation to unravel disease networks.As GWAS results do not provide functional information on the loci identifi ed, additional studies are needed to determine the candidate genes and their role in disease. The immediate challenges associated with the validation of GWAS candidate genes include identifying the likely cell types in which the risk variants and genes function, determining which of the multiple candidate genes represented by each CAD locus contribute to disease, and defi ning the functions of poorly annotated candidate genes. Expression analyses of candidate genes under defi ned conditions in model organisms and their associations with risk variants in human samples provide a powerful way to address these issues and predict the causal candidate genes.It is likely that at least some of the novel genes (that is, those not affecting known risk factors, such as plasma lipids or blood pressure) are perturbing vessel wall or infl ammatory cell functions. Endothelial cells (EC) play a critical role in the initiation and progression of atherosclerosis.
Abstract Recent genome-wide association studies (GWAS)have identifi ed 35 loci that signifi cantly associate with coronary artery disease (CAD) susceptibility. The majority of the genes represented in these loci have not previously been studied in the context of atherosclerosis. To characterize the roles of these candidate genes in the vessel wall, we determined their expression levels in endothelial, smooth muscle, and macrophage cells isolated from healthy, prelesioned, and lesioned mouse aortas. We also performed expression quantitative locus (eQTL) mapping of these genes in human endothelial cells under control and proatherogenic conditions. Of the 57 genes studied, 31 were differentially expressed in one or more cell types in disease state in mice, and the expression levels of 8 were signifi cantly associated with the CAD SNPs in human cells, 7 of which were also differentially expressed in mice. By integrating human and mouse results, we predict that PPAP2B , GALNT4 , MAPKAPK5 , TCTN1 , SRR , SNF8 , and ICAM1 play a causal role in the susceptibility to atherosclerosis through a role in the vasculature. Additionally, we highlight the genetic complexity of a subset of CAD loci through the differential expression of multiple candidate genes per locus and the involvement of genes that lie outside linkage disequilib...