AI Summary
The content provided discusses new research that aims to understand the biological drivers of heart disease risk. Over the years, researchers have identified many regions in the human genome associated with heart attack risk. However, there is a need for efficient methods to explore how these genetic variants are connected to cardiovascular disease on a molecular level. This has limited the development of potential therapeutics. To address this, a team of researchers used multiple sequencing and experimental techniques to map the relationship between known genetic variants associated with coronary artery disease (CAD) and the biological pathways they affect. The goal of this research is to gain a deeper understanding of the molecular mechanisms underlying heart disease and potentially develop more effective treatments.
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.