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Etiologic Puzzle of Coronary Artery Disease: How Important Is Genetic Component?
Lăcrămioara Ionela Butnariu1, Laura Florea2, Minerva Codruta Badescu3,4
1Department of Medical Genetics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iași, Romania.
Insights
Genetic factors significantly contribute to coronary artery disease (CAD) etiology. Advanced genomic analyses like Genome-Wide Association Studies (GWAS) and Whole Exome Sequencing (WES) identify new targets for personalized treatments and early prevention strategies.
Area of Science:
- Cardiovascular Genetics
- Genomics
- Molecular Medicine
Background:
- Coronary artery disease (CAD) is a leading global cause of mortality.
- CAD exhibits significant phenotypic variability due to complex genetic and environmental interactions.
- Understanding the genetic basis of CAD is crucial for improving patient outcomes.
Purpose of the Study:
- To review genetic factors implicated in the etiology of coronary artery disease.
- To explore the relationship between genetic factors and CAD pathogenic mechanisms.
- To highlight the role of advanced genomic studies in understanding CAD.
Main Methods:
- Literature review of genetic association studies.
- Analysis of candidate gene studies.
- Inclusion of Genome-Wide Association Studies (GWAS) and Whole Exome Sequencing (WES) data.
Main Results:
- A substantial number of genetic factors are associated with CAD etiology.
- GWAS and WES have revealed novel genetic insights into CAD pathophysiology.
- Polygenic risk scores (PRS) show promise for identifying high-risk individuals.
Conclusions:
- Deciphering CAD's genetic architecture via GWAS/WES can identify new therapeutic targets.
- Genomic analysis facilitates the development of novel CAD treatments.
- PRS enable early prophylactic measures and personalized therapy for improved CAD prognosis.
Abstract:
In the modern era, coronary artery disease (CAD) has become the most common form of heart disease and, due to the severity of its clinical manifestations and its acute complications, is a major cause of morbidity and mortality worldwide. The phenotypic variability of CAD is correlated with the complex etiology, multifactorial (caused by the interaction of genetic and environmental factors) but also monogenic. The purpose of this review is to present the genetic factors involved in the etiology of CAD and their relationship to the pathogenic mechanisms of the disease. Method: we analyzed data from the literature, starting with candidate gene-based association studies, then continuing with extensive association studies such as Genome-Wide Association Studies (GWAS) and Whole Exome Sequencing (WES). The results of these studies revealed that the number of genetic factors involved in CAD etiology is impressive. The identification of new genetic factors through GWASs offers new perspectives on understanding the complex pathophysiological mechanisms that determine CAD. In conclusion, deciphering the genetic architecture of CAD by extended genomic analysis (GWAS/WES) will establish new therapeutic targets and lead to the development of new treatments. The identification of individuals at high risk for CAD using polygenic risk scores (PRS) will allow early prophylactic measures and personalized therapy to improve their prognosis.
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