Understanding cardiovascular disease: a journey through the genome (and what we found there)
Enrique Lara-Pezzi1, Ana Dopazo, Miguel Manzanares
1Cardiovascular Development and Repair Department, Centro Nacional de Investigaciones, Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain. elara@cnic.es
Insights
Genomic research is crucial for understanding unexplained cardiovascular disease (CVD) risk. Integrating genetic variations with gene regulation mechanisms will improve CVD prediction and therapies.
Area of Science:
- Genomics
- Molecular Biology
- Cardiovascular Medicine
Background:
- Cardiovascular disease (CVD) is a leading global cause of death and hospitalization.
- Identified risk factors explain only a portion of CVD cases, prompting research into genetics and genomics.
- Previous genetic studies, except for Mendelian conditions, faced challenges in pinpointing specific CVD-related genomic components.
Purpose of the Study:
- To explore the role of genomics in understanding the unexplained risk factors for cardiovascular disease.
- To bridge the gap between genetic variations identified by genome-wide association studies (GWAS) and underlying molecular mechanisms.
- To investigate how multilayered gene expression regulation influences CVD development.
Main Methods:
- Review of genetic and genomic research in cardiovascular disease.
- Analysis of genome-wide association studies (GWAS) findings.
- Exploration of regulatory mechanisms including chromatin remodeling, regulatory elements, microRNAs, and alternative splicing.
Main Results:
- Genome-wide association studies (GWAS) are beginning to elucidate molecular mechanisms linked to genetic variations.
- Understanding gene regulation layers (chromatin, regulatory elements, microRNAs, splicing) is essential for interpreting genetic associations.
- The complex interplay between DNA information and regulatory layers is key to CVD pathogenesis.
Conclusions:
- Genomic insights are vital for unraveling the complex causes of cardiovascular disease.
- Connecting genetic variations with gene expression regulation offers a path to better CVD prediction.
- This integrated approach holds promise for developing more effective cardiovascular therapies.
Abstract:
Cardiovascular disease (CVD) is a major cause of mortality and hospitalization worldwide. Several risk factors have been identified that are strongly associated with the development of CVD. However, these explain only a fraction of cases, and the focus of research into the causes underlying the unexplained risk has shifted first to genetics and more recently to genomics. A genetic contribution to CVD has long been recognized; however, with the exception of certain conditions that show Mendelian inheritance, it has proved more challenging than anticipated to identify the precise genomic components responsible for the development of CVD. Genome-wide association studies (GWAS) have provided information about specific genetic variations associated with disease, but these are only now beginning to reveal the underlying molecular mechanisms. To fully understand the biological implications of these associations, we need to relate them to the exquisite, multilayered regulation of protein expression, which includes chromatin remodeling, regulatory elements, microRNAs and alternative splicing. Understanding how the information contained in the DNA relates to the operation of these regulatory layers will allow us not only to better predict the development of CVD but also to develop more effective therapies.
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