Publication:
A genome wide association study of Plasmodium falciparum susceptibility to 22 antimalarial drugs in Kenya

dc.contributor.authorJason P. Wendleren_US
dc.contributor.authorJohn Okomboen_US
dc.contributor.authorRoberto Amatoen_US
dc.contributor.authorOlivo Miottoen_US
dc.contributor.authorSteven M. Kiaraen_US
dc.contributor.authorLeah Mwaien_US
dc.contributor.authorLewa Poleen_US
dc.contributor.authorJohn O'Brienen_US
dc.contributor.authorMagnus Manskeen_US
dc.contributor.authorDan Alcocken_US
dc.contributor.authorEleanor Druryen_US
dc.contributor.authorMandy Sandersen_US
dc.contributor.authorSamuel O. Oyolaen_US
dc.contributor.authorCinzia Malangoneen_US
dc.contributor.authorDushyanth Jyothien_US
dc.contributor.authorAlistair Milesen_US
dc.contributor.authorKirk A. Rocketten_US
dc.contributor.authorBronwyn L. MacInnisen_US
dc.contributor.authorKevin Marshen_US
dc.contributor.authorPhilip Bejonen_US
dc.contributor.authorAlexis Nzilaen_US
dc.contributor.authorDominic P. Kwiatkowskien_US
dc.contributor.otherUniversity of Oxforden_US
dc.contributor.otherKenya Medical Research Instituteen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherWellcome Trust Sanger Instituteen_US
dc.contributor.otherWellcome Trust Centre for Human Geneticsen_US
dc.contributor.otherKing Fahd University of Petroleum and Mineralsen_US
dc.date.accessioned2018-11-09T01:44:45Z
dc.date.available2018-11-09T01:44:45Z
dc.date.issued2014-05-08en_US
dc.description.abstractBackground: Drug resistance remains a chief concern for malaria control. In order to determine the genetic markers of drug resistant parasites, we tested the genome-wide associations (GWA) of sequence-based genotypes from 35 Kenyan P. falciparum parasites with the activities of 22 antimalarial drugs. Methods and Principal Findings: Parasites isolated from children with acute febrile malaria were adapted to culture, and sensitivity was determined by in vitro growth in the presence of anti-malarial drugs. Parasites were genotyped using whole genome sequencing techniques. Associations between 6250 single nucleotide polymorphisms (SNPs) and resistance to individual anti-malarial agents were determined, with false discovery rate adjustment for multiple hypothesis testing. We identified expected associations in the pfcrt region with chloroquine (CQ) activity, and other novel loci associated with amodiaquine, quinazoline, and quinine activities. Signals for CQ and primaquine (PQ) overlap in and around pfcrt, and interestingly the phenotypes are inversely related for these two drugs. We catalog the variation in dhfr, dhps, mdr1, nhe, and crt, including novel SNPs, and confirm the presence of a dhfr-164L quadruple mutant in coastal Kenya. Mutations implicated in sulfadoxine-pyrimethamine resistance are at or near fixation in this sample set. Conclusions/Significance: Sequence-based GWA studies are powerful tools for phenotypic association tests. Using this approach on falciparum parasites from coastal Kenya we identified known and previously unreported genes associated with phenotypic resistance to anti-malarial drugs, and observe in high-resolution haplotype visualizations a possible signature of an inverse selective relationship between CQ and PQ. © 2014 Wendler et al.en_US
dc.identifier.citationPLoS ONE. Vol.9, No.5 (2014)en_US
dc.identifier.doi10.1371/journal.pone.0096486en_US
dc.identifier.issn19326203en_US
dc.identifier.other2-s2.0-84901490769en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/33021
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84901490769&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.titleA genome wide association study of Plasmodium falciparum susceptibility to 22 antimalarial drugs in Kenyaen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84901490769&origin=inwarden_US

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