Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide.
Understanding the genetic factors contributing to CAD is critical for advancing both
diagnostic and therapeutic strategies. This paper reviews the current literature on the genetic
underpinnings of CAD, exploring key genetic loci and their implications for personalized
medicine. It discusses genome-wide association studies (GWAS), the role of single
nucleotide polymorphisms (SNPs), and the potential for genetic testing in clinical settings.
Additionally, the paper explores how personalized medicine, informed by genetic data, can
improve the prevention, diagnosis, and treatment of CAD, ultimately leading to better patient
outcomes. The integration of genetic insights into clinical practice has the potential to
transform CAD management, but challenges related to ethical considerations, cost, and
accessibility remain. This review underscores the promise of genetic research in CAD and
highlights the need for ongoing studies to refine and validate these findings.
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