Evidence map›Paper›PMID 34346861›Full record

ArticleMicrobial genomics2021

Generalizable characteristics of false-positive bacterial variant calls.

Stephen J Bush

Abstract read
In one paragraph

Article in Microbial genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Resistance to disinfection emerges inCurrent research in microbial sciences · 2026
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  12. SynonymousNAR genomics and bioinformatics · 2024
    Article
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  14. Whole genome sequencing distinguishes skin colonizing from infection-associatedFrontiers in cellular and infection microbiology · 2024
    Article
  15. The complex genomic diversity ofEcology and evolution · 2023
    Article
  16. Emergence and Evolution of OXA-23-Producing ST46Antibiotics (Basel, Switzerland) · 2023
    Article
  17. Article
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  19. Identification of novel, crypticMicrobial genomics · 2022
    Article
  20. 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

1 author.

Stephen J BushNuffield Department of Medicine, University of Oxford, Oxford, UK.

Funding

Department of Health HPRU-2012-10041Wellcome Trust
6 · The paper itself

Abstract

Minimizing false positives is a critical issue when variant calling as no method is without error. It is common practice to post-process a variant-call file (VCF) using hard filter criteria intended to discriminate true-positive (TP) from false-positive (FP) calls. These are applied on the simple principle that certain characteristics are disproportionately represented among the set of FP calls and that a user-chosen threshold can maximize the number detected. To provide guidance on this issue, this study empirically characterized all false SNP and indel calls made using real Illumina sequencing data from six disparate species and 166 variant-calling pipelines (the combination of 14 read aligners with up to 13 different variant callers, plus four 'all-in-one' pipelines). We did not seek to optimize filter thresholds but instead to draw attention to those filters of greatest efficacy and the pipelines to which they may most usefully be applied. In this respect, this study acts as a coda to our previous benchmarking evaluation of bacterial variant callers, and provides general recommendations for effective practice. The results suggest that, of the pipelines analysed in this study, the most straightforward way of minimizing false positives would simply be to use Snippy. We also find that a disproportionate number of false calls, irrespective of the variant-calling pipeline, are located in the vicinity of indels, and highlight this as an issue for future development.

Indexed as

BacteriaBacteriological TechniquesComputational BiologyFalse Positive ReactionsHigh-Throughput Nucleotide SequencingPolymorphism, Single Nucleotidebenchmarkingbest practicefalse positivevariant calling

Identifiers

PMID34346861
PMCPMC8549357

What OpenQuestion holds

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LicenceCC BY
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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.