Evidence map›Paper›PMID 41701771›Full record

ArticlePLoS computational biology2026

Tutorial for variant interrogation in tumor samples.

Riley J Arseneau, Leah K MacLean, Jeanette E Boudreau, Daniel Gaston

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Riley J ArseneauDepartment of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0003-1379-1211
Leah K MacLeanDepartment of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.
Jeanette E BoudreauDepartment of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0003-0203-2180
Daniel GastonDepartment of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0003-2841-8057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing accessibility of next-generation sequencing has empowered researchers to investigate somatic mutations in cancer. The complexity of variant analysis pipelines, terminology, and tool selection remains a major barrier, especially for those new to the field or working in translational settings. To address this challenge, we present a practical framework that guides researchers through the critical steps of variant interrogation in tumor samples. This guide is broken into four phases: Planning-laying the foundation for thoughtful experimental design and a clear understanding of sequencing outputs; Gathering Resources-assembling the tools, reference data, and variant annotation sets required for analysis; Filtering and Validation-executing a systematic approach to prioritize meaningful variants; and Dissemination and Storage-ensuring findings are reproducible and accessible through transparent reporting and data sharing. Developed with an emphasis on accessibility, reproducibility, and clinical relevance, this framework equips researchers with the guidance to navigate variant analysis with confidence and rigor.

Indexed as

Genetic VariationHigh-Throughput Nucleotide SequencingNeoplasmsComputational BiologyHumansMutationReproducibility of Results

Identifiers

PMID41701771
PMCPMC12912624

What OpenQuestion holds

Textmetadata
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.