Project description
Improved risk prediction models for atherosclerotic cardiovascular disease events
Heart disease is the leading cause of death worldwide. The first visible sign of atherosclerotic cardiovascular disease (ASCVD) is often dramatic — stroke or a heart attack. Many factors increase the risk for atherosclerosis (hardening of the arteries), including high cholesterol, high blood pressure, and smoking. Current risk prediction models rely on prevalent risk factors without considering genetic risk factors, changes along the disease progression pathway, or the heterogeneity of ASCVD. The ERC-funded SECRET project aims to fill these gaps by gaining functional understanding of genetic risk mechanisms, causal variants, and gene regulatory networks via single-cell multi-omics profiling in unique patient cohorts and CRISPR-based gene perturbations. This information is used to build pioneering polygenic risk prediction models to minimize ASCVD events.
Objective
Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death worldwide. Aside from asymptomatic manifestations, the first sign of clinically significant ASCVD is often a severe clinical event, such as stroke or myocardial infarction. Thus, identification of people at high risk is central to battle the deadly consequences of ASCVD. The usefulness of current risk prediction models such as SCORE2 is unsatisfactory most likely since the score is built on prevalent risk factors rather than mechanistic changes occuring along the disease path. Especially, genetic risk factors acting already early in life and diverse longitudinal exposures accumulating during the lifetime of a person, lead to disturbance of gene regulatory networks which are not considered in the current risk models. In addition, the current models predict the combined risk of coronary and peripheral artery disease and ischemic stroke despite mounting evidence of ASCVD heterogeneity. To capture these missing aspects of ASCVD risk, we leverage the predictive ability of genetic variation provided to us by the world’s largest meta-analysis of GWAS for ASCVD and introduce a new disease mechanism-based stratification. In work package (WP) 1, we will map the transcriptomic and epigenetic effects of risk variants using single cell multiomics profiling of 500 human atherosclerotic tissue samples. In WP2, we infer disease associated genes, gene-gene interactions and gene regulatory networks using an innovative CRISPR-based experimental approach. In WP3, we will make use of the generated information to develop novel functionally informed polygenic risk models which are benchmarked against the conventional risk prediction models for predictive accuracy. Ultimately, this information will provide us with a mechanistic understanding of the genetic basis of disease while allowing construction of new gold standard polygenic risk prediction models for prevention of ASCVD events.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2023-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
70211 KUOPIO
Finland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.