Your browser doesn't support javascript.
loading
PipeIT2: A tumor-only somatic variant calling workflow for molecular diagnostic Ion Torrent sequencing data.
Schnidrig, Desiree; Garofoli, Andrea; Benjak, Andrej; Rätsch, Gunnar; Rubin, Mark A; Piscuoglio, Salvatore; Ng, Charlotte K Y.
Afiliação
  • Schnidrig D; Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Garofoli A; Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, 4001 Basel, Switzerland.
  • Benjak A; Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Rätsch G; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland; Department of Computer Science, ETH Zurich.
  • Rubin MA; Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; Bern Center for Precision Medicine, Bern, Switzerland.
  • 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.
  • 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.
Genomics ; 115(2): 110587, 2023 03.
Article em En | MEDLINE | ID: mdl-36796655
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Genomics Assunto da revista: GENETICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Genomics Assunto da revista: GENETICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça