Over the past 15 years, researchers have identified hundreds of regions in the human genome associated with heart attack risk. However, researchers lack efficient ways to explore how these genetic variants are molecularly connected to cardiovascular disease, limiting efforts to develop therapeutics. To streamline analysis of hundreds of genetic variants associated with coronary artery disease (CAD), a team of researchers combined multiple sequencing and experimental techniques to map the relationship between known CAD variants and the biological pathways they impact.