Ancestryaligned polygenic scores combined with conventional risk factors improve prediction of cardiometabolic outcomes in African populations

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dc.article.end-page17en
dc.article.start-page1en
dc.citation.doi10.1186/S13073-024-01377-6en
dc.contributor.authorMichelle Kampen
dc.contributor.authorO Painen
dc.contributor.authorCM Lewisen
dc.contributor.authorMichele Ramsayen
dc.date.accessioned2025-03-04T18:23:30Z
dc.facultyFACULTY OF HEALTH SCIENCESen
dc.identifier.citationWOSen
dc.identifier.issn1756-994Xen
dc.identifier.urihttps://hdl.handle.net/10539/44085
dc.journal.titleAncestryaligned polygenic scores combined with conventional risk factors improve prediction of cardiometabolic outcomes in African populationsen
dc.journal.volume16en
dc.publisherBIOMED CENTRAL LTDen
dc.titleAncestryaligned polygenic scores combined with conventional risk factors improve prediction of cardiometabolic outcomes in African populationsen
dc.typeJournal Articleen

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