Evidence map›Paper›PMID 27008882›Full record

ArticleJournal of clinical microbiology2016

A Method for Amplicon Deep Sequencing of Drug Resistance Genes in Plasmodium falciparum Clinical Isolates from India.

Pavitra N Rao, Swapna Uplekar, Sriti Kayal, Prashant K Mallick, Nabamita Bandyopadhyay, Sonal Kale, Om P Singh, Akshaya Mohanty, Sanjib Mohanty, Samuel C Wassmer and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 4% of its field
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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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  16. Analysis of drug resistance marker genes ofJournal of biosciences · 2021
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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

11 authors at 6 institutions in 2 countries.

Pavitra N RaoCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, USA.
Swapna UplekarCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, USA.
Sriti KayalNational Institute of Technology, Raurkela, Odisha, India.
Prashant K MallickNational Institute of Malaria Research, Indian Council of Medical Research, Dwarka, New Delhi, India.
Nabamita BandyopadhyayNational Institute of Malaria Research, Indian Council of Medical Research, Dwarka, New Delhi, India.
Sonal KaleNational Institute of Malaria Research, Indian Council of Medical Research, Dwarka, New Delhi, India.
Om P SinghNational Institute of Malaria Research, Indian Council of Medical Research, Dwarka, New Delhi, India.
Akshaya MohantyInstitute of Life Sciences, Bhubaneswar, Odisha, India.
Sanjib MohantyIspat General Hospital, Raurkela, Odisha, India.
Samuel C WassmerDepartment of Microbiology, Division of Parasitology, New York University School of Medicine, New York, New York, USA.
Jane M CarltonCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, USA jane.carlton@nyu.edu.
New York University · USIndian Council of Medical Research · INNational Institute of Malaria Research · INInstitute of Life Sciences · INIspat General Hospital · INNational Institute of Technology Rourkela · IN

Funding

Using Next-Generation Genomics to Study Antimalarial Drug Resistance in IndiaU19AI089676 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CARLTON, JANE M · 2010 to 2023
$22.6M
NIAID NIH HHS U19 AI089676
6 · The paper itself

Abstract

A major challenge to global malaria control and elimination is early detection and containment of emerging drug resistance. Next-generation sequencing (NGS) methods provide the resolution, scalability, and sensitivity required for high-throughput surveillance of molecular markers of drug resistance. We have developed an amplicon sequencing method on the Ion Torrent PGM platform for targeted resequencing of a panel of six Plasmodium falciparum genes implicated in resistance to first-line antimalarial therapy, including artemisinin combination therapy, chloroquine, and sulfadoxine-pyrimethamine. The protocol was optimized using 12 geographically diverse P. falciparum reference strains and successfully applied to multiplexed sequencing of 16 clinical isolates from India. The sequencing results from the reference strains showed 100% concordance with previously reported drug resistance-associated mutations. Single-nucleotide polymorphisms (SNPs) in clinical isolates revealed a number of known resistance-associated mutations and other nonsynonymous mutations that have not been implicated in drug resistance. SNP positions containing multiple allelic variants were used to identify three clinical samples containing mixed genotypes indicative of multiclonal infections. The amplicon sequencing protocol has been designed for the benchtop Ion Torrent PGM platform and can be operated with minimal bioinformatics infrastructure, making it ideal for use in countries that are endemic for the disease to facilitate routine large-scale surveillance of the emergence of drug resistance and to ensure continued success of the malaria treatment policy.

Indexed as

Drug ResistanceAllelesAntimalarialsComputational BiologyGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansIndiaMalaria, FalciparumPlasmodium falciparumPolymorphism, Single NucleotideSequence Analysis, DNAAntimalarials

Identifiers

PMID27008882
PMCPMC4879288
OpenAlexW2305491340

What OpenQuestion holds

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Registered trials

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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.