2017
DOI: 10.1016/j.ijpddr.2017.03.001
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Genetic diversity of next generation antimalarial targets: A baseline for drug resistance surveillance programmes

Abstract: Drug resistance is a recurrent problem in the fight against malaria. Genetic and epidemiological surveillance of antimalarial resistant parasite alleles is crucial to guide drug therapies and clinical management. New antimalarial compounds are currently at various stages of clinical trials and regulatory evaluation. Using ∼2000 Plasmodium falciparum genome sequences, we investigated the genetic diversity of eleven gene-targets of promising antimalarial compounds and assessed their potential efficiency across m… Show more

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Cited by 12 publications
(15 citation statements)
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“…The results tabulated by Gomes et al [5] are different to the results of this research. In particular, Gomes et al [5] do not report the PfATP4 synonymous SNP G223G (C669A, 35% of all isolates) characteristic of the Pf strain Dd2 [14] or G223S (G667A, 8.9% of all isolates) present in African populations. It should be noted that the G667A and C669A SNPs (GGC→AGA) occuring together produce the G223R resistance mutation.…”
Section: Introductioncontrasting
confidence: 99%
See 2 more Smart Citations
“…The results tabulated by Gomes et al [5] are different to the results of this research. In particular, Gomes et al [5] do not report the PfATP4 synonymous SNP G223G (C669A, 35% of all isolates) characteristic of the Pf strain Dd2 [14] or G223S (G667A, 8.9% of all isolates) present in African populations. It should be noted that the G667A and C669A SNPs (GGC→AGA) occuring together produce the G223R resistance mutation.…”
Section: Introductioncontrasting
confidence: 99%
“…It should be noted that the G667A and C669A SNPs (GGC→AGA) occuring together produce the G223R resistance mutation. The probable reason for the difference between Gomes et al [5] and this research appears to be different variant calling methodology. Whereas Gomes et al [5] use Delly (Rausch et al [13]) to call variants, this research does not attempt to independently discover variants, but uses the Pf3k VCF files generated by MalariaGen using GATK.…”
Section: Introductioncontrasting
confidence: 70%
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“…Antimalarial drug resistance represents a major focus of research for many partner studies within the Pf Community Project, and this dataset therefore contains a significant body of data that have appeared in previous reports on drug resistance. Readers are referred to these publications for more detailed analyses of local patterns of resistance [9][10][11][12][13][14][16][17][18][19][20][21][22] and of resistance to specific drugs including chloroquine 16,21 , sulfadoxine-pyrimethamine 16,19,21 and artemisinin combination therapy [9][10][11][13][14][15]17,18,21,22 .…”
Section: Classification Of Samples Based On Markers Of Drug Resistancementioning
confidence: 99%
“…9 Data produced by the Pf Community Project have been used to address a broad range of research questions, both by the groups that generated samples and data and by the wider research community, and have generated over 50 previous publications (refs . These data have become a key resource for the epidemiology and population genetics of antimalarial drug resistance [9][10][11][12][13][14][15][16][17][18][19][20][21][22] and an important platform for the discovery of new genetic markers and mechanisms of resistance through genome-wide association studies [23][24][25][26][27] and combined genome-transcriptome analysis. 28 The data have also been used to study gene deletions that cause failure of rapid diagnostic tests 29 ; to characterise genetic variation in malaria vaccine antigens 30,31 ; to screen for new vaccine candidates 32 ; to investigate specific host-parasite interactions 33,34 ; and to describe the evolutionary adaptation and diversification of local parasite populations.…”
Section: Introductionmentioning
confidence: 99%