PipeIT2: A tumor-only somatic variant calling workflow for molecular diagnostic Ion Torrent sequencing data.

Ion torrent Molecular diagnostics Next-generation sequencing Singularity Somatic mutations Variant calling cancer genomics

Journal

Genomics
ISSN: 1089-8646
Titre abrégé: Genomics
Pays: United States
ID NLM: 8800135

Informations de publication

Date de publication:
03 2023
Historique:
received: 31 12 2022
revised: 09 02 2023
accepted: 12 02 2023
pubmed: 17 2 2023
medline: 21 3 2023
entrez: 16 2 2023
Statut: ppublish

Résumé

Precision oncology relies on the accurate identification of somatic mutations in cancer patients. While the sequencing of the tumoral tissue is frequently part of routine clinical care, the healthy counterparts are rarely sequenced. We previously published PipeIT, a somatic variant calling workflow specific for Ion Torrent sequencing data enclosed in a Singularity container. PipeIT combines user-friendly execution, reproducibility and reliable mutation identification, but relies on matched germline sequencing data to exclude germline variants. Expanding on the original PipeIT, here we describe PipeIT2 to address the clinical need to define somatic mutations in the absence of germline control. We show that PipeIT2 achieves a > 95% recall for variants with variant allele fraction >10%, reliably detects driver and actionable mutations and filters out most of the germline mutations and sequencing artifacts. With its performance, reproducibility, and ease of execution, PipeIT2 is a valuable addition to molecular diagnostics laboratories.

Identifiants

pubmed: 36796655
pii: S0888-7543(23)00031-9
doi: 10.1016/j.ygeno.2023.110587
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

110587

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Desiree Schnidrig (D)

Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.

Andrea Garofoli (A)

Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, 4001 Basel, Switzerland.

Andrej Benjak (A)

Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.

Gunnar Rätsch (G)

SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland; Department of Computer Science, ETH Zurich.

Mark A Rubin (MA)

Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; Bern Center for Precision Medicine, Bern, Switzerland.

Salvatore Piscuoglio (S)

Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, 4001 Basel, Switzerland; Department of Biomedicine, University Hospital Basel, University of Basel, 4001 Basel, Switzerland.

Charlotte K Y Ng (CKY)

Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland; Bern Center for Precision Medicine, Bern, Switzerland. Electronic address: charlotte.ng@unibe.ch.

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Classifications MeSH