Dual Deep Sequencing Improves the Accuracy of Low-Frequency Somatic Mutation Detection in Cancer Gene Panel Testing.
cancer gene panel testing
clinical sequencing
mosaic mutation
next generation sequencing
somatic variant caller
somatic variant detection
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
16 May 2020
16 May 2020
Historique:
received:
01
05
2020
revised:
14
05
2020
accepted:
14
05
2020
entrez:
21
5
2020
pubmed:
21
5
2020
medline:
13
2
2021
Statut:
epublish
Résumé
Cancer gene panel testing requires accurate detection of somatic mosaic mutations, as the test sample consists of a mixture of cancer cells and normal cells; each minor clone in the tumor also has different somatic mutations. Several studies have shown that the different types of software used for variant calling for next generation sequencing (NGS) can detect low-frequency somatic mutations. However, the accuracy of these somatic variant callers is unknown. We performed cancer gene panel testing in duplicate experiments using three different high-fidelity DNA polymerases in pre-capture amplification steps and analyzed by three different variant callers, Strelka2, Mutect2, and LoFreq. We selected six somatic variants that were detected in both experiments with more than two polymerases and by at least one variant caller. Among them, five single nucleotide variants were verified by CEL nuclease-mediated heteroduplex incision with polyacrylamide gel electrophoresis and silver staining (CHIPS) and Sanger sequencing. In silico analysis indicated that the
Identifiants
pubmed: 32429412
pii: ijms21103530
doi: 10.3390/ijms21103530
pmc: PMC7278996
pii:
doi:
Substances chimiques
DNA-Directed DNA Polymerase
EC 2.7.7.7
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Kanazawa Medical University
ID : No. 11181, 26699
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