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Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management
M. Vrablik, D. Dlouha, V. Todorovova, D. Stefler, JA. Hubacek
Language English Country Switzerland
Document type Journal Article, Review
Grant support
IN 00023001
Ministerstvo Zdravotnictví Ceské Republiky
NV18-01-00046
Ministerstvo Zdravotnictví Ceské Republiky
NV17-28882A
Ministerstvo Zdravotnictví Ceské Republiky
NU-20-06-00061
Ministerstvo Zdravotnictví Ceské Republiky
conceptual development of research organization 64165
Ministerstvo Zdravotnictví Ceské Republiky
NLK
Free Medical Journals
from 2000
Freely Accessible Science Journals
from 2000
PubMed Central
from 2007
Europe PubMed Central
from 2007
ProQuest Central
from 2000-03-01
Open Access Digital Library
from 2000-01-01
Open Access Digital Library
from 2007-01-01
Health & Medicine (ProQuest)
from 2000-03-01
ROAD: Directory of Open Access Scholarly Resources
from 2000
PubMed
33920733
DOI
10.3390/ijms22084182
Knihovny.cz E-resources
- MeSH
- Genome-Wide Association Study methods MeSH
- Genetic Predisposition to Disease MeSH
- Genetic Testing methods MeSH
- Precision Medicine methods MeSH
- Cardiovascular Diseases diagnosis genetics therapy MeSH
- Humans MeSH
- Nutrigenomics methods MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
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.
References provided by Crossref.org
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