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dc.contributor.authorKamiza, Abram B
dc.contributor.authorToure, Sounkou M
dc.contributor.authorVujkovic, Marijana
dc.contributor.authorMachipisa, Tafadzwa
dc.contributor.authorSoremekun, Opeyemi S
dc.contributor.authorKintu, Christopher
dc.contributor.authorCorpas, Manuel
dc.contributor.authorPirie, Fraser
dc.contributor.authorYoung, Elizabeth
dc.contributor.authorGill, Dipender
dc.contributor.authorSandhu, Manjinder S
dc.contributor.authorKaleebu, Pontiano
dc.contributor.authorNyirenda, Moffat
dc.contributor.authorMotala, Ayesha A
dc.contributor.authorChikowore, Tinashe
dc.contributor.authorFatumo, Segun
dc.date.accessioned2022-06-17T16:01:07Z
dc.date.available2022-06-17T16:01:07Z
dc.date.issued2022-06-02
dc.date.submitted2021-08-18
dc.identifier.issn1078-8956
dc.identifier.others41591-022-01835-x
dc.identifier.other1835
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/338207
dc.description.abstractThe poor transferability of genetic risk scores (GRSs) derived from European ancestry data in diverse populations is a cause of concern. We set out to evaluate whether GRSs derived from data of African American individuals and multiancestry data perform better in sub-Saharan Africa (SSA) compared to European ancestry-derived scores. Using summary statistics from the Million Veteran Program (MVP), we showed that GRSs derived from data of African American individuals enhance polygenic prediction of lipid traits in SSA compared to European and multiancestry scores. However, our GRS prediction varied greatly within SSA between the South African Zulu (low-density lipoprotein cholesterol (LDL-C), R2 = 8.14%) and Ugandan cohorts (LDL-C, R2 = 0.026%). We postulate that differences in the genetic and environmental factors between these population groups might lead to the poor transferability of GRSs within SSA. More effort is required to optimize polygenic prediction in Africa.
dc.languageen
dc.publisherNature Publishing Group US
dc.subjectBrief Communication
dc.subject/631/208/1516
dc.subject/631/208/212
dc.subjectbrief-communication
dc.titleTransferability of genetic risk scores in African populations.
dc.typeArticle
dc.date.updated2022-06-17T16:01:07Z
prism.endingPage1166
prism.issueIdentifier6
prism.publicationNameNat Med
prism.startingPage1163
prism.volume28
dc.identifier.doi10.17863/CAM.85618
dcterms.dateAccepted2022-04-20
rioxxterms.versionofrecord10.1038/s41591-022-01835-x
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidVujkovic, Marijana [0000-0003-4924-5714]
dc.contributor.orcidMachipisa, Tafadzwa [0000-0002-4882-9067]
dc.contributor.orcidCorpas, Manuel [0000-0002-4417-1018]
dc.contributor.orcidGill, Dipender [0000-0001-7312-7078]
dc.contributor.orcidNyirenda, Moffat [0000-0003-2120-4806]
dc.contributor.orcidChikowore, Tinashe [0000-0002-6743-751X]
dc.contributor.orcidFatumo, Segun [0000-0003-4525-3362]
dc.identifier.eissn1546-170X
pubs.funder-project-idWellcome Trust (Wellcome) (220740/Z/20/Z)
pubs.funder-project-idU.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) (1U01HG011717, 1U01HG011717)


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