Gupta Lab
Principal Investigator: Rajat M Gupta
Institution: Broad Institute (Cambridge, MA)
Primary Subfield: Genetics/Genomics
Recruitment Status: ✅ Hiring Postdocs
Research Focus
ABSTRACT Despite effective therapies to control blood pressure and cholesterol, coronary artery disease (CAD) remains the leading cause of death in the United States and the world. Recent genome-wide association studies (GWAS) have identified >200 genetic loci significantly associated with CAD. The majority of these loci are not associated with hypertension or hyperlipidemia, but contain genes expressed in vascular cells, suggesting the presence of undiscovered CAD disease mechanisms operating through cells of the blood vessel wall. Identifying the biologic mechanisms of these loci is difficult because most of the common variants associated with CAD are non-coding, likely functioning through enhancers that can regulate multiple genes at great distances, and be highly cell-type specific. This has slowed discovery, so that only a few such loci have been ‘solved’, preventing the realization of the full potential of genetic studies for the development of much needed new classes of therapies for CAD. What is needed are much higher-throughput, unbiased methods to systematically dissect these loci, to identify molecular and cellular mechanisms of disease. To accomplish this goal, we have…
Active NIH Awards
- 5R01HL164811-04: High-throughput cellular genetics to connect noncoding variants to coronary artery disease genes (2026)
- 5R01HL164811-03: High-throughput cellular genetics to connect noncoding variants to coronary artery disease genes (2025)
- 3U01HL166060-03S1: Identifying the organotypic and disease-specific vascular cell populations by integrating single cell data with polygenic risk (2025)
- 5U01HL166060-04: Identifying the organotypic and disease-specific vascular cell populations by integrating single cell data with polygenic risk (2025)
- 5R01HL164811-02: High-throughput cellular genetics to connect noncoding variants to coronary artery disease genes (2024)
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