Genetic and Genomic Insights into Cardiovascular Disease
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Genetics and Genomics".
Deadline for manuscript submissions: 15 May 2026 | Viewed by 21
Special Issue Editors
Interests: atherosclerosis; epigenetics; epigenomics; cardiovascular therapy; mouse models
Special Issues, Collections and Topics in MDPI journals
Interests: lipids; cardiovascular risk factors; genomics and genetics; DNA and RNA therapies; intracellular transport and pseudokinases
Special Issue Information
Dear Colleagues,
This Special Issue is designed to publish a series of articles that advance our mechanistic understanding of the role of genetic variants and epigenetic modifications that contribute to cardiovascular disease (CVD) pathogenesis. The reason for this is three-fold: first, the wealth of genetic data that has emerged from genome-wide association studies that have identified variants associated with the development of CVD risk factors, and the development of in vitro and in vivo models to determine their functionality at the individual cell level, in specific genetic settings, and in a temporal and spatial manner; second, the increasing availability of large-scale single-cell epigenomic data and RNA sequencing datasets for analysing gene expression profiles in multiple cell populations that populate healthy and atherosclerotic vascular tissue; third, the significant advancements in computational methodologies to evaluate the cellular connections between CVD risk phenotypes, atheroma, CVD progression and regression. In this Special Issue, original research articles and reviews are welcome.
Prof. Dr. Silvio Zaina
Prof. Dr. Carol C. Shoulders
Guest Editors
Manuscript Submission Information
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Keywords
- coronary and carotid atheroma
- lipids
- thrombosis
- inflammation
- vascular calcification
- vascular smooth muscle cells
- foam cells
- endothelium
- immune cells
- epigenetics
- genetic variation
- gene expression and proteomics
- cell and disease models
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