Vrablik, M;
Dlouha, D;
Todorovova, V;
Stefler, D;
Hubacek, JA;
(2021)
Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management?
International Journal of Molecular Sciences
, 22
(8)
, Article 4182. 10.3390/ijms22084182.
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Abstract
Despite the rapid progress in diagnosis and treatment of cardiovascular disease (CVD), this disease remains a major cause of mortality and morbidity. Recent progress over the last two decades in the field of molecular genetics, especially with new tools such as genome-wide association studies, has helped to identify new genes and their variants, which can be used for calculations of risk, prediction of treatment efficacy, or detection of subjects prone to drug side effects. Although the use of genetic risk scores further improves CVD prediction, the significance is not unambiguous, and some subjects at risk remain undetected. Further research directions should focus on the “second level” of genetic information, namely, regulatory molecules (miRNAs) and epigenetic changes, predominantly DNA methylation and gene-environment interactions.
Type: | Article |
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Title: | Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management? |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3390/ijms22084182 |
Publisher version: | https://doi.org/10.3390/ijms22084182 |
Language: | English |
Additional information: | This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | cardiovascular disease; gene; interaction; polymorphism; gene score; epigenetic |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10127153 |
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