Rapid detection of copy number variations and point mutations in BRCA1/2 genes using a single workflow by ion semiconductor sequencing pipeline

Molecular analysis of ( # and ( #600185) genes is essential for familial breast and ovarian cancer prevention and treatment. An efficient, rapid, cost-effective accurate strategy for the detection of pathogenic variants is crucial. Mutations detection of genes includes screening for single nucleotid...

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Veröffentlicht in:Oncotarget 2018-09, Vol.9 (72), p.33648-33655
Hauptverfasser: Germani, Aldo, Libi, Fabio, Maggi, Stefano, Stanzani, Gianluca, Lombardi, Augusto, Pellegrini, Patrizia, Mattei, Mauro, De Marchis, Laura, Amanti, Claudio, Pizzuti, Antonio, Torrisi, Maria Rosaria, Piane, Maria
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Sprache:eng
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Zusammenfassung:Molecular analysis of ( # and ( #600185) genes is essential for familial breast and ovarian cancer prevention and treatment. An efficient, rapid, cost-effective accurate strategy for the detection of pathogenic variants is crucial. Mutations detection of genes includes screening for single nucleotide variants (SNVs), small insertions or deletions (indels), and Copy Number Variations (CNVs). Sanger sequencing is unable to identify CNVs and therefore Multiplex Ligation Probe amplification (MLPA) or Multiplex Amplicon Quantification (MAQ) is used to complete the genes analysis. The rapid evolution of Next Generation Sequencing (NGS) technologies allows the search for point mutations and CNVs with a single platform and workflow. In this study we test the possibilities of NGS technology to simultaneously detect point mutations and CNVs in genes, using the Oncomine BRCA Research Assay on Personal Genome Machine (PGM) Platform with Ion Reporter Software for sequencing data analysis (Thermo Fisher Scientific). Comparison between the NGS-CNVs, MLPA and MAQ results shows how the NGS approach is the most complete and fast method for the simultaneous detection of all mutations, avoiding the usual time consuming multistep approach in the routine diagnostic testing of hereditary breast and ovarian cancers.
ISSN:1949-2553
1949-2553
DOI:10.18632/oncotarget.26000