Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits

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dc.contributor.authorAnanyo Choudhury
dc.contributor.authorJean-Tristan Brandenburg
dc.contributor.authorTinashe Chikowore
dc.contributor.authorDhriti Sengupta
dc.contributor.authorPalwende Romuald Boua
dc.contributor.authorNigel J. Crowther
dc.contributor.authorGodfred Agongo
dc.contributor.authorGershim Asik
dc.contributor.authorF. Xavier Gómez-Olivé
dc.contributor.authorIsaac Kisiangani
dc.contributor.authorEric Maimela
dc.contributor.authorMatshane Masemola-Maphutha
dc.contributor.authorLisa K. Micklesfield
dc.contributor.authorEngelbert A. Nonterah
dc.contributor.authorShane A. Norris
dc.contributor.authorHermann Sorgho
dc.contributor.authorHalidou Tinto
dc.contributor.authorStephen Tollman
dc.contributor.authorSarah E. Graham
dc.contributor.authorCristen J. Willer
dc.contributor.authorAWI-Gen study
dc.contributor.authorH3Africa Consortium
dc.contributor.authorScott Hazelhurst
dc.contributor.authorMichèle Ramsay
dc.date.accessioned2023-10-05T09:29:18Z
dc.date.available2023-10-05T09:29:18Z
dc.date.issued2022-05-11
dc.departmentSA-MRC/Wits Agincourt UnitE
dc.description.abstractGenetic associations for lipid traits have identified hundreds of variants with clear differences across European, Asian and African studies. Based on a sub-Saharan-African GWAS for lipid traits in the population cross-sectional AWI-Gen cohort (N = 10,603) we report a novel LDL-C association in the GATB region (P-value=1.56 × 10−8). Meta-analysis with four other African cohorts (N = 23,718) provides supporting evidence for the LDL-C association with the GATB/FHIP1A region and identifies a novel triglyceride association signal close to the FHIT gene (P-value =2.66 × 10−8). Our data enable fine-mapping of several well-known lipid-trait loci including LDLR, PMFBP1 and LPA. The transferability of signals detected in two large global studies (GLGC and PAGE) consistently improves with an increase in the size of the African replication cohort. Polygenic risk score analysis shows increased predictive accuracy for LDL-C levels with the narrowing of genetic distance between the discovery dataset and our cohort. Novel discovery is enhanced with the inclusion of African data.
dc.description.librarianPM2023
dc.identifier.urihttps://hdl.handle.net/10539/36355
dc.language.isoen
dc.schoolPublic HealthE
dc.titleMeta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits
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