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Cardiovascular pharmacogenetics and genetic biomarkers offer opportunities for personalized diagnostic and drug selection, though underlying pathological mechanisms remain incompletely understood.
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Genetic variations may influence CVD development and inter-individual responses to cardiovascular drugs, offering potential for personalized medicine.
Cardiovascular disease (CVD) is the leading cause of death worldwide. The basic causes of CVD are not fully understood yet. Substantial evidence suggests that genetic predisposition plays a vital role in the physiopathology of this complex disease. Hence, identification of genetic contributors to CVD will likely add diagnostic accuracy and better prediction of an individual's risk. With high-throughput genetics and genomics technology and newer genome-wide study approaches, a number of genetic variations across the human genome were uncovered. Evidence suggests that genetic defects could influence CVD development and inter-individual responses to widely used cardiovascular drugs like clopidogrel, aspirin, warfarin, and statins, and therefore, they may be integrated into clinical practice. If clinically validated, better understanding of these genetic variations may provide new opportunities for personalized diagnostic, pharmacogenetic-based drug selection and best treatment in personalized medicine. However, numerous gaps remain unsolved due to the lack of underlying pathological mechanisms for how genetic predisposition could contribute to CVD. This review provides an overview of the extraordinary scientific progress in our understanding of genetic and genomic basis of CVD as well as the development of relevant genetic biomarkers for this disease. Some of the actual limitations to the promise of these markers and their translation for the benefit of patients will be discussed.
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Zaiou et al. (2016) conducted a review in Cardiovascular disease (CVD). Cardiovascular pharmacogenetics and genetic biomarkers was evaluated. Cardiovascular pharmacogenetics and genetic biomarkers offer opportunities for personalized diagnostic and drug selection, though underlying pathological mechanisms remain incompletely understood.
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