Tutorial for variant interrogation in tumor samples

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.

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Publication Details

Journal
PLoS Computational Biology
Published
2026-02-17
DOI
https://doi.org/10.1371/journal.pcbi.1013924
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Tutorial for variant interrogation in tumor samples

Jeanette E. Boudreau, Riley J. Arseneau, Daniel Gaston, Leah K. MacLean
PLoS Computational Biology
Cancer Genomics and Diagnostics
article

Tutorial for variant interrogation in tumor samples

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

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.

PLoS Computational BiologyVol. 22(2)
Dalhousie University (CA), Nova Scotia Health Authority (CA), Beatrice Hunter Cancer Research Institute (CA)
Openalex Percentile: Top 55%
Cancer Genomics and Diagnostics
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