Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F21%3A10428118" target="_blank" >RIV/00216208:11110/21:10428118 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00064165:_____/21:10428118

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=k90aldpCdZ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=k90aldpCdZ</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ijms22084182" target="_blank" >10.3390/ijms22084182</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management?

Popis výsledku v původním jazyce

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 &quot;second level&quot; of genetic information, namely, regulatory molecules (miRNAs) and epigenetic changes, predominantly DNA methylation and gene-environment interactions.

Název v anglickém jazyce

Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management?

Popis výsledku anglicky

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 &quot;second level&quot; of genetic information, namely, regulatory molecules (miRNAs) and epigenetic changes, predominantly DNA methylation and gene-environment interactions.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30202 - Endocrinology and metabolism (including diabetes, hormones)

Projekt

<a href="/cs/project/NV17-28882A" target="_blank" >NV17-28882A: Genetické polymorfismy, MiRNA a vybrané bioindikátory aktivity - vzájemné vztahy při diagnostice a léčbě těžké familiární hypercholesterolemie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Molecular Sciences [online]

ISSN

1422-0067

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

19

Strana od-do

4182

Kód UT WoS článku

000644350900001

EID výsledku v databázi Scopus

2-s2.0-85104327517