The Impact of Variant Calling on Substitution Mutational Signature Inference

Identifying mutational signatures is a key component of cancer genomics studies, yet the influence of variant calling strategies on signature extraction has not been systematically evaluated. Here, we analyzed over 8,900 whole exomes from The Cancer Genome Atlas (TCGA) and over 1,800 whole genomes from the Pan-Cancer Analysis of Whole Genomes (PCAWG) consortium to assess how mutation callers shape <i>de novo</i> single-base substitution (SBS) signatures. We found that consensus calling yielded stable <i>de novo</i> signatures across reference genomes and pipeline versions, whereas individual callers introduced false-positive SBSs that manifested as artifactual signatures that were reproducibly detected by three independent signatures extraction tools. A minimal consensus approach requiring agreement between only two variant calling algorithms effectively removed these artifacts while preserving true biological signal. Together, these results establish consensus variant calling as essential for robust inference of <i>de novo</i> SBS mutational signatures and provide practical guidelines for distinguishing genuine mutational processes from technical artifacts.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2025-12-12
DOI
https://doi.org/10.64898/2025.12.09.693327
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

The Impact of Variant Calling on Substitution Mutational Signature Inference

bioRxiv (Cold Spring Harbor Laboratory)
Cancer Genomics and Diagnostics
article

The Impact of Variant Calling on Substitution Mutational Signature Inference

article en

Abstract

Identifying mutational signatures is a key component of cancer genomics studies, yet the influence of variant calling strategies on signature extraction has not been systematically evaluated. Here, we analyzed over 8,900 whole exomes from The Cancer Genome Atlas (TCGA) and over 1,800 whole genomes from the Pan-Cancer Analysis of Whole Genomes (PCAWG) consortium to assess how mutation callers shape <i>de novo</i> single-base substitution (SBS) signatures. We found that consensus calling yielded stable <i>de novo</i> signatures across reference genomes and pipeline versions, whereas individual callers introduced false-positive SBSs that manifested as artifactual signatures that were reproducibly detected by three independent signatures extraction tools. A minimal consensus approach requiring agreement between only two variant calling algorithms effectively removed these artifacts while preserving true biological signal. Together, these results establish consensus variant calling as essential for robust inference of <i>de novo</i> SBS mutational signatures and provide practical guidelines for distinguishing genuine mutational processes from technical artifacts.

bioRxiv (Cold Spring Harbor Laboratory)
University of California San Diego (US), Spanish National Cancer Research Centre (ES), La Jolla Bioengineering Institute (US)
Openalex Percentile: Top 35%
Cancer Genomics and Diagnostics
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The Impact of Variant Calling on Substitution Mutational Signature Inference · bioRxiv (Cold Spring Harbor Laboratory) (2025) | TGRS Research Map | TGRS