Evidence map›Paper›PMID 37231022›Full record

ArticleScientific reports2023

Simple combination of multiple somatic variant callers to increase accuracy.

Alexander J Trevarton, Jeffrey T Chang, W Fraser Symmans

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Personalizing DNA Cancer Vaccines.Journal of personalized medicine · 2025
    Review
  6. Article
  7. Identifying genetic errors of immunity due to mosaicism.The Journal of experimental medicine · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

3 authors.

Alexander J TrevartonSchool of Biological Sciences, Faculty of Science, University of Auckland, Auckland, New Zealand. a.trevarton@auckland.ac.nz.
Jeffrey T ChangDepartment of Integrative Biology and Pharmacology, The University of Texas Health Sciences Center, Houston, USA.
W Fraser SymmansDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Publications comparing variant caller algorithms present discordant results with contradictory rankings. Caller performances are inconsistent and wide ranging, and dependent upon input data, application, parameter settings, and evaluation metric. With no single variant caller emerging as a superior standard, combinations or ensembles of variant callers have appeared in the literature. In this study, a whole genome somatic reference standard was used to derive principles to guide strategies for combining variant calls. Then, manually annotated variants called from the whole exome sequencing of a tumor were used to corroborate these general principles. Finally, we examined the ability of these principles to reduce noise in targeted sequencing.

Indexed as

High-Throughput Nucleotide SequencingNeoplasmsAlgorithmsExomeGenome, HumanHumansPolymorphism, Single NucleotideSoftware

Identifiers

PMID37231022
PMCPMC10212967

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.