Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management?
Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články, přehledy
Grantová podpora
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
PubMed
33920733
PubMed Central
PMC8074003
DOI
10.3390/ijms22084182
PII: ijms22084182
Knihovny.cz E-zdroje
- Klíčová slova
- cardiovascular disease, epigenetic, gene, gene score, interaction, polymorphism,
- MeSH
- celogenomová asociační studie metody MeSH
- genetická predispozice k nemoci MeSH
- genetické testování metody MeSH
- individualizovaná medicína metody MeSH
- kardiovaskulární nemoci diagnóza genetika terapie MeSH
- lidé MeSH
- nutrigenomika metody MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy 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.
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