Genetics in cardiovascular diseases

Published: 6 September 2019
Abstract Views: 1548
PDF: 924
HTML: 115
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Cardiovascular diseases (CVDs) are a wide group of disorders affecting the heart and blood vessels, including coronary artery, valve, pericardial, conduction system, myocardial and vascular diseases, either congenital or acquired, which can be also heritable. The advent of next generation sequencing (NGS) was accompanied by quick advances in understanding the genetic basis of human diseases, prompting translation of genetics to the clinic. Precision medicine is based on these findings and on the role of genetic testing to improve the diagnosis, to identify individuals with previously unrecognized disease and family members at risk of future disease development which require longitudinal follow-up. However, the probabilistic nature of genetic testing and the subjectivity of genetic variants classification weighted on current evidence, making this powerful clinical tool difficult to be applied in precision diagnostics and therapeutics. Here, we reviewed systematically the genetic basis of CVDs with special emphasis on the current role of NGS in clinical diagnosis and risk assessment, underlying the need of multidisciplinary cardio-genetic referral centers.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

PlumX Metrics

PlumX Metrics  provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

Citations

How to Cite

Celeghin, R., Thiene, G., Bauce, B., Basso, C., & Pilichou, K. (2019). Genetics in cardiovascular diseases. Italian Journal of Medicine, 13(3), 137–151. https://doi.org/10.4081/itjm.2019.1186