Active Genetics & Molecular Biology Heart, Stroke & Blood

Large-scale integrative molecular studies of CVDs in multi-ethnic cohorts

In plain English

AI plain-English summary

Researchers will sequence the genomes of thousands of people who developed heart disease unusually young, then track the molecular chain of events—from RNA to proteins to metabolites—that leads from a genetic variant to a blocked artery. Heart disease remains the world’s leading cause of death, yet most treatments target the same few pathways. Many drugs that work in theory fail in trials because the underlying biology is poorly understood. This project tackles that gap by treating the human genome as a natural experiment. By identifying people who carry naturally occurring “knockouts”—mutations that disable a gene without causing disease—the team can predict which drug targets are likely to be safe and effective before a single molecule is synthesised. If successful, this work could shift cardiovascular drug development from trial-and-error to a genetics-first pipeline. The same Mendelian randomisation framework used here to prioritise targets could also be applied to other common diseases, reducing the cost and failure rate of clinical trials. This is fundamental science with a clear translational route: understanding the causal chain from DNA to disease, rather than just statistical associations, is what makes a drug target worth betting on.

View original technical description
Through large-scale integrative studies of multi-omic traits, we will advance understanding of CVD aetiology, contributing to CVD prevention and development of new medicines. First, we will identify new risk factors for a range of CVDs (including cardiometabolic conditions) by sequencing early-onset disease in multi-ethnic cohorts and mega-consortia. Second, we will identify causal pathways through multi-omic analysis of the “expressed genome” (eg, RNA, proteins, metabolites) to help elucidate the molecular chain of events that link genetic variation with clinical CVDs. Third, we will identify human genetic “knockouts” (which are valuable models of pharmacological inhibition) in populations enriched for autozygosity, and then characterise their molecular and clinical phenotypes to help identify and validate novel therapeutic targets. Fourth, as a complementary approach to therapeutic target prioritisation, we will use a comprehensive framework based on Mendelian randomisation (MR) principles to evaluate potential targets for clinical utility.

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Researchers

John Danesh (EPMC Awardee)

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Original classification

Programme Grant

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