Evidence map›Paper›PMID 20499094›Full record

ArticleParasitology research2010

Malaria parasite genome scan: insights into antimalarial resistance.

Bhavna Gupta, Gauri Awasthi, Aparup Das

Abstract read
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In one paragraph

Article in Parasitology research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Genetics of chloroquine-resistant malaria: a haplotypic view.Memorias do Instituto Oswaldo Cruz · 2013
    Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bhavna GuptaEvolutionary Genomics and Bioinformatics Laboratory, Division of Genomics and Bioinformatics, National Institute of Malaria Research (NIMR), Sector-8, Dwarka, New Delhi, 110 077, India.
Gauri Awasthi
Aparup Das

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome scan and genotype-phenotype association study offer excellent opportunities to unearth drug/vaccine targets in human pathogens including malaria parasites. A recently conducted such study in worldwide isolates in the most devastating malaria parasite Plasmodium falciparum has reported important genomic information on genetic basis of antimalarial resistance. Several unknown genes were also found to be under strong influence of natural selection. The findings provide important insights into the malaria parasite genome evolution in general and to use this information to develop more focused malaria control strategies, in particular.

Indexed as

Drug ResistanceGenes, ProtozoanGenome, ProtozoanAntimalarialsHumansMalaria, FalciparumMalaria VaccinesPlasmodium falciparumAntimalarialsMalaria Vaccines

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.