Show simple item record

dc.contributor.authorLibiseller-Egger, Julian
dc.contributor.authorPhelan, Jody E.
dc.contributor.authorAttia, Zachi I.
dc.contributor.authorBenavente, Ernest Diez
dc.contributor.authorCampino, Susana
dc.contributor.authorFriedman, Paul A.
dc.contributor.authorLopez-Jimenez, Francisco
dc.contributor.authorLeon, David A.
dc.contributor.authorClark, Taane G.
dc.date.accessioned2023-01-18T07:36:32Z
dc.date.available2023-01-18T07:36:32Z
dc.date.issued2022-12-31
dc.description.abstractArtifcial intelligence (AI)-based approaches can now use electrocardiograms (ECGs) to provide expertlevel performance in detecting heart abnormalities and diagnosing disease. Additionally, patient age predicted from ECGs by AI models has shown great potential as a biomarker for cardiovascular age, where recent work has found its deviation from chronological age (“delta age”) to be associated with mortality and co-morbidities. However, despite being crucial for understanding underlying individual risk, the genetic underpinning of delta age is unknown. In this work we performed a genome-wide association study using UK Biobank data (n=34,432) and identifed eight loci associated with delta age (p ≤ 5 × 10<sup>−8</sup>), including genes linked to cardiovascular disease (CVD) (e.g. SCN5A) and (heart) muscle development (e.g. TTN). Our results indicate that the genetic basis of cardiovascular ageing is predominantly determined by genes directly involved with the cardiovascular system rather than those connected to more general mechanisms of ageing. Our insights inform the epidemiology of CVD, with implications for preventative and precision medicine.en_US
dc.identifier.citationLibiseller-Egger, Phelan, Attia, Benavente, Campino, Friedman, Lopez-Jimenez, Leon, Clark. Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes. Scientific Reports. 2022;12(1)en_US
dc.identifier.cristinIDFRIDAID 2107327
dc.identifier.doi10.1038/s41598-022-27254-z
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/10037/28285
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.relation.journalScientific Reports
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleDeep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypesen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


File(s) in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record

Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)