Show simple item record

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.accessioned2022-07-04T01:02:27Z
dc.date.available2022-07-04T01:02:27Z
dc.date.issued2022-06
dc.identifier.issn1078-8956
dc.identifier.otherPMC9205766
dc.identifier.other35654908
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/338723
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.languageeng
dc.publisherSpringer Science and Business Media LLC
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 1546-170X
dc.sourcenlmid: 9502015
dc.subjectHumans
dc.subjectRisk Factors
dc.subjectPopulation Groups
dc.subjectCholesterol, LDL
dc.subjectGenome-Wide Association Study
dc.subjectBlacks
dc.titleTransferability of genetic risk scores in African populations.
dc.typeArticle
dc.date.updated2022-07-04T01:02:27Z
prism.endingPage1166
prism.issueIdentifier6
prism.publicationNameNat Med
prism.startingPage1163
prism.volume28
dc.identifier.doi10.17863/CAM.86136
dcterms.dateAccepted2022-04-20
rioxxterms.versionofrecord10.1038/s41591-022-01835-x
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://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 (220740/Z/20/Z, 214205/Z/18/Z)
pubs.funder-project-idU.S. Department of Health &amp (1U01HG011717)
pubs.funder-project-idU.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) (1U01HG011717)
pubs.funder-project-idBritish Heart Foundation (RE/18/4/34215)
cam.issuedOnline2022-06-02


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International