Genome-wide and fine-resolution association analysis of malaria in west Africa

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dc.contributor.authorJallow, M.
dc.contributor.authorTeo, Y.Y.
dc.contributor.authorSmall, K. S.
dc.contributor.authorKoram, K.A.
dc.contributor.authorDeloukas, P.
dc.contributor.authorClark, T.G.
dc.contributor.authorKivinen, K.
dc.contributor.authorBojang, K.A.
dc.contributor.authorConway, D.J.
dc.contributor.authorPinder, M.
dc.contributor.authorSirugo, G.
dc.contributor.authorSisay-Joof, F.
dc.contributor.authorUsen, S.
dc.contributor.authorAuburn, S.
dc.contributor.authorBumpstead, S.J.
dc.contributor.authorCampino, S.
dc.contributor.authorCoffey, A.
dc.contributor.authorDunham, A.
dc.contributor.authorFry, A.E.
dc.contributor.authorGreen, A.
dc.contributor.authorGwilliam, R.
dc.contributor.authorHurt, S.E.
dc.contributor.authorInouye, M.
dc.contributor.authorJeffreys, A.E.
dc.contributor.authorMendy, A.
dc.contributor.authorPalotie, A.
dc.contributor.authorPotter, S.
dc.contributor.authorRagoussis, J.
dc.contributor.authorRogers, J.
dc.contributor.authorRowlands, K.
dc.contributor.authorSomaskantharajah, E.
dc.contributor.authorWhittaker, P.
dc.contributor.authorWilson, M.
dc.contributor.authorKwiatkowski, D.P.
dc.date.accessioned2013-06-26T19:42:07Z
dc.date.accessioned2017-10-16T13:03:57Z
dc.date.available2013-06-26T19:42:07Z
dc.date.available2017-10-16T13:03:57Z
dc.date.issued2009-06
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 populations.en_US
dc.identifier.citationJallow, M., Teo, Y. Y., Small, K. S., Koram, K. A., Deloukas, P., Clark, T. G., . . . Kwiatkowski, D. P. (2009). Genome-wide and fine-resolution association analysis of malaria in west Africa. Nature Genetics, 41(6), 657-665.en_US
dc.identifier.issn10614036
dc.identifier.urihttp://197.255.68.203/handle/123456789/4217
dc.language.isoenen_US
dc.subjectEMTREE medical terms: article; child; controlled study; Gambia; gene linkage disequilibrium; gene locus; genetic association; human; infection resistance; major clinical study; malaria; population structure; priority journalen_US
dc.titleGenome-wide and fine-resolution association analysis of malaria in west Africaen_US
dc.typeArticleen_US

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