Literature DB >> 27714756

Cardiovascular pharmacogenetics: a promise for genomically-guided therapy and personalized medicine.

M Zaiou1, H El Amri2.   

Abstract

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.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Genome Wide Association Studies; biomarkers; cardiovascular disease; genetic testing; personalized medicine; precision medicine; translational medicine

Mesh:

Substances:

Year:  2016        PMID: 27714756     DOI: 10.1111/cge.12881

Source DB:  PubMed          Journal:  Clin Genet        ISSN: 0009-9163            Impact factor:   4.438


  10 in total

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Authors:  Fasil Tekola-Ayele; Emmanuel Peprah
Journal:  Glob Heart       Date:  2017-03-13

Review 3.  Opportunities and Challenges in Cardiovascular Pharmacogenomics: From Discovery to Implementation.

Authors:  Dan M Roden; Sara L Van Driest; Quinn S Wells; Jonathan D Mosley; Joshua C Denny; Josh F Peterson
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

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Authors:  Xinqiang Han; Yun Zhou; Wendi Liu
Journal:  NPJ Precis Oncol       Date:  2017-09-12

Review 5.  Precision Medicine in Non Communicable Diseases.

Authors:  Mandana Hasanzad; Negar Sarhangi; Hamid Reza Aghaei Meybodi; Shekoufeh Nikfar; Fatemeh Khatami; Bagher Larijani
Journal:  Int J Mol Cell Med       Date:  2019-07-25

6.  Effect of CYP2C19 genetic polymorphism on the pharmacodynamics and clinical outcomes for patients treated with ticagrelor: a systematic review with qualitative and quantitative meta-analysis.

Authors:  Qiufen Xie; Qian Xiang; Zhiyan Liu; Guangyan Mu; Shuang Zhou; Zhuo Zhang; Lingyue Ma; Yanjun Gong; Jie Jiang; Yimin Cui
Journal:  BMC Cardiovasc Disord       Date:  2022-03-17       Impact factor: 2.298

7.  Dissecting miRNA-Gene Networks to Map Clinical Utility Roads of Pharmacogenomics-Guided Therapeutic Decisions in Cardiovascular Precision Medicine.

Authors:  Fani Chatzopoulou; Konstantinos A Kyritsis; Christos I Papagiannopoulos; Eleftheria Galatou; Nikolaos Mittas; Nikoleta F Theodoroula; Andreas S Papazoglou; Efstratios Karagiannidis; Maria Chatzidimitriou; Anna Papa; Georgios Sianos; Lefteris Angelis; Dimitrios Chatzidimitriou; Ioannis S Vizirianakis
Journal:  Cells       Date:  2022-02-10       Impact factor: 6.600

Review 8.  Genome-Wide Studies in Ischaemic Stroke: Are Genetics Only Useful for Finding Genes?

Authors:  Cristina Gallego-Fabrega; Elena Muiño; Jara Cárcel-Márquez; Laia Llucià-Carol; Miquel Lledós; Jesús M Martín-Campos; Natalia Cullell; Israel Fernández-Cadenas
Journal:  Int J Mol Sci       Date:  2022-06-20       Impact factor: 6.208

9.  Metabolomics and Biomarkers for Drug Discovery.

Authors:  Pollen K Yeung
Journal:  Metabolites       Date:  2018-01-31

10.  The Alpha-2A Adrenergic Receptor Gene -1291C/G Single Nucleotide Polymorphism is Associated with the Efficacy of Methylphenidate in Treating Taiwanese Children and Adolescents with Attention-Deficit Hyperactivity Disorder.

Authors:  Hui-Ching Huang; Lawrence Shih-Hsin Wu; Shun-Chieh Yu; Bo-Jian Wu; Ahai Chang Lua; Shin-Min Lee; Chao-Zong Liu
Journal:  Psychiatry Investig       Date:  2018-02-28       Impact factor: 2.505

  10 in total

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