Evidence map›Paper›PMID 33658988›Full record

ArticleFrontiers in microbiology2021

Genome-Wide Association Studies for the Detection of Genetic Variants Associated With Daptomycin and Ceftaroline Resistance in

Robert E Weber, Stephan Fuchs, Franziska Layer, Anna Sommer, Jennifer K Bender, Andrea Thürmer, Guido Werner, Birgit Strommenger

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

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  15. Mutations in theMicrobial genomics · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Robert E WeberDepartment of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.
Stephan FuchsMethodology and Research Infrastructure, Bioinformatics, Robert Koch-Institute, Berlin, Germany.
Franziska LayerDepartment of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.
Anna SommerDepartment of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.
Jennifer K BenderDepartment of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.
Andrea ThürmerMethodology and Research Infrastructure, Bioinformatics, Robert Koch-Institute, Berlin, Germany.
Guido WernerDepartment of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.
Birgit StrommengerDepartment of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.
Robert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs next generation sequencing (NGS) technologies have experienced a rapid development over the last decade, the investigation of the bacterial genetic architecture reveals a high potential to dissect causal loci of antibiotic resistance phenotypes. Although genome-wide association studies (GWAS) have been successfully applied for investigating the basis of resistance traits, complex resistance phenotypes have been omitted so far. For MATERIALS/

methodsTo conduct microbial GWAS, we selected cases and controls according to their clonal background, date of isolation, and geographical origin. Association testing was performed with PLINK and SEER analysis. By using

resultsGWAS revealed MprF P314L and L826F to be significantly associated with DAP resistance. These mutations were found to be homogenously distributed among clonal lineages suggesting convergent evolution. Additionally, rare and yet undescribed single nucleotide polymorphisms could be identified within

conclusionWe hereby confirmed the potential of GWAS to identify genetic variants that are associated with antibiotic resistance traits in

Indexed as

antibiotic resistanceceftarolinedaptomycinGWASPLINKS. aureusSEER

Identifiers

PMID33658988
PMCPMC7917082
OpenAlexW3132716326

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.