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Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies

Many cardiovascular diseases are facilitated by strong inheritance. For example, large-scale genetic studies identified hundreds of genomic loci that affect the risk of coronary artery disease. At each of these loci, common variants are associated with disease risk with robust statistical evidence b...

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Autores principales: Kessler, Thorsten, Schunkert, Heribert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326228/
https://www.ncbi.nlm.nih.gov/pubmed/34368511
http://dx.doi.org/10.1016/j.jacbts.2021.04.001
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author Kessler, Thorsten
Schunkert, Heribert
author_facet Kessler, Thorsten
Schunkert, Heribert
author_sort Kessler, Thorsten
collection PubMed
description Many cardiovascular diseases are facilitated by strong inheritance. For example, large-scale genetic studies identified hundreds of genomic loci that affect the risk of coronary artery disease. At each of these loci, common variants are associated with disease risk with robust statistical evidence but individually small effect sizes. Only a minority of candidate genes found at these loci are involved in the pathophysiology of traditional risk factors, but experimental research is making progress in identifying novel, and, in part, unexpected mechanisms. Targets identified by genome-wide association studies have already led to the development of novel treatments, specifically in lipid metabolism. This review summarizes recent genetic and experimental findings in this field. In addition, the development and possible clinical usefulness of polygenic risk scores in risk prediction and individualization of treatment, particularly in lipid metabolism, are discussed.
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spelling pubmed-83262282021-08-06 Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies Kessler, Thorsten Schunkert, Heribert JACC Basic Transl Sci State-of-the-Art Review Many cardiovascular diseases are facilitated by strong inheritance. For example, large-scale genetic studies identified hundreds of genomic loci that affect the risk of coronary artery disease. At each of these loci, common variants are associated with disease risk with robust statistical evidence but individually small effect sizes. Only a minority of candidate genes found at these loci are involved in the pathophysiology of traditional risk factors, but experimental research is making progress in identifying novel, and, in part, unexpected mechanisms. Targets identified by genome-wide association studies have already led to the development of novel treatments, specifically in lipid metabolism. This review summarizes recent genetic and experimental findings in this field. In addition, the development and possible clinical usefulness of polygenic risk scores in risk prediction and individualization of treatment, particularly in lipid metabolism, are discussed. Elsevier 2021-07-26 /pmc/articles/PMC8326228/ /pubmed/34368511 http://dx.doi.org/10.1016/j.jacbts.2021.04.001 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle State-of-the-Art Review
Kessler, Thorsten
Schunkert, Heribert
Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies
title Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies
title_full Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies
title_fullStr Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies
title_full_unstemmed Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies
title_short Coronary Artery Disease Genetics Enlightened by Genome-Wide Association Studies
title_sort coronary artery disease genetics enlightened by genome-wide association studies
topic State-of-the-Art Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326228/
https://www.ncbi.nlm.nih.gov/pubmed/34368511
http://dx.doi.org/10.1016/j.jacbts.2021.04.001
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