1. Pathogenesis of premature coronary artery disease: Focus on risk factors and genetic variants
- Author
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Zifan Liu, Lin Wang, Haomin Zhang, Junjie Shao, Jingjing Zhou, Yundai Chen, Qiang Xu, Xue-Chun Lu, Lejian Lin, Min Jiang, Xin Li, Haiming Wang, and Ran Zhang
- Subjects
0301 basic medicine ,Genetic variants ,Medicine (General) ,Premature coronary artery disease ,Genetic clinical applications ,Single-nucleotide polymorphism ,QH426-470 ,030204 cardiovascular system & hematology ,Biology ,Genome-wide association studies ,Single-nucleotide polymorphisms ,Biochemistry ,Pathogenesis ,03 medical and health sciences ,Race (biology) ,R5-920 ,0302 clinical medicine ,Genetics ,Genetic predisposition ,Molecular Biology ,Genetics (clinical) ,Genetic association ,Cell Biology ,Phenotype ,030104 developmental biology - Abstract
The development of premature coronary artery disease (PCAD) is dependent on both genetic predisposition and traditional risk factors. Strategies for unraveling the genetic basis of PCAD have evolved with the advent of modern technologies. Genome-wide association studies (GWASs) have identified a considerable number of common genetic variants that are associated with PCAD. Most of these genetic variants are attributable to lipid and blood pressure-related single-nucleotide polymorphisms (SNPs). The genetic variants that predispose individuals to developing PCAD may depend on race and ethnicity. Some characteristic genetic variants have been identified in Chinese populations. Although translating this genetic knowledge into clinical applications is still challenging, these genetic variants can be used for CAD phenotype identification, genetic prediction and therapy. In this article we will provide a comprehensive review of genetic variants detected by GWASs that are predicted to contribute to the development of PCAD. We will highlight recent findings regarding CAD-related genetic variants in Chinese populations and discuss the potential clinical utility of genetic variants for preventing and managing PCAD.
- Published
- 2022
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