Evidence map›Paper›PMID 20185568›Full record

ArticleNucleic acids research2010

Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays.

Charlie Wah Heng Lee, Chee Wee Koh, Yang Sun Chan, Pauline Poh Kim Aw, Kuan Hon Loh, Bing Ling Han, Pei Ling Thien, Geraldine Yi Wen Nai, Martin L Hibberd, Christopher W Wong and 1 more

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Pathogen chip for respiratory tract infections.Journal of clinical microbiology · 2013
    Article
  4. Review
  5. Article
  6. Article
  7. Article
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.

Charlie Wah Heng LeeGenome Institute of Singapore, Genome, 60 Biopolis Street, Singapore.
Chee Wee Koh
Yang Sun Chan
Pauline Poh Kim Aw
Kuan Hon Loh
Bing Ling Han
Pei Ling Thien
Geraldine Yi Wen Nai
Martin L Hibberd
Christopher W Wong
Wing-Kin Sung

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In April 2009, a new influenza A (H1N1 2009) virus emerged that rapidly spread around the world. While current variants of this virus have caused widespread disease, particularly in vulnerable groups, there remains the possibility that future variants may cause increased virulence, drug resistance or vaccine escape. Early detection of these virus variants may offer the chance for increased containment and potentially prevention of the virus spread. We have developed and field-tested a resequencing kit that is capable of interrogating all eight segments of the 2009 influenza A(H1N1) virus genome and its variants, with added focus on critical regions such as drug-binding sites, structural components and mutation hotspots. The accompanying base-calling software (EvolSTAR) introduces novel methods that utilize neighbourhood hybridization intensity profiles and substitution bias of probes on the microarray for mutation confirmation and recovery of ambiguous base queries. Our results demonstrate that EvolSTAR is highly accurate and has a much improved call rate. The high throughput and short turn-around time from sample to sequence and analysis results (30 h for 24 samples) makes this kit an efficient large-scale evolutionary biosurveillance tool.

Indexed as

Sequence Analysis, DNAAlgorithmsDNA PrimersEvolution, MolecularHumansInfluenza A Virus, H1N1 SubtypeMutationOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionSoftwareDNA Primers

Identifiers

PMID20185568
PMCPMC2874996

What OpenQuestion holds

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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.