Genomewide and fine-resolution association analysis of malaria in West Africa

dc.FacultyEndemic Diseasesen_US
dc.contributor.authorIbrahim, Muntaser E.
dc.contributor.authorAllen, Angela
dc.contributor.authorParker, Michael
dc.contributor.editoren_US
dc.contributor.otherMolecular Biologyen_US
dc.date2009-06
dc.date.accessioned2015-11-15T10:51:32Z
dc.date.available2015-11-15T10:51:32Z
dc.date.issued2015-11-15
dc.date.submitted2015
dc.description.abstractWe report a genome-wide association (GWA) study of severe malaria in The Gambia. The initial GWA scan included 2,500 children genotyped on the Affymetrix 500K GeneChip, and a replication study included 3,400 children. We used this to examine the performance of GWA methods in Africa. We found considerable population stratification, and also that signals of association at known malaria resistance loci were greatly attenuated owing to weak linkage disequilibrium (LD). To investigate possible solutions to the problem of low LD, we focused on the HbS locus, sequencing this region of the genome in 62 Gambian individuals and then using these data to conduct multipoint imputation in the GWA samples. This increased the signal of association, from P = 4 × 10−7 to P = 4 × 10−14, with the peak of the signal located precisely at the HbS causal variant. Our findings provide proof of principle that fine-resolution multipoint imputation, based on population-specific sequencing data, can substantially boost authentic GWA signals and enable fine mapping of causal variants in African populationsen_US
dc.identifier.urihttp://khartoumspace.uofk.edu/123456789/17101
dc.language.isoenen_US
dc.publisherUOFKen_US
dc.subjectGenomewideen_US
dc.subjectfine-resolutionen_US
dc.subjectmalariaen_US
dc.subjectWest Africaen_US
dc.titleGenomewide and fine-resolution association analysis of malaria in West Africaen_US
dc.typePublicationen_US

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