Genetic testing for BRCA1/2 germline mutations in hereditary breast/ovarian cancer patients requires screening for single nucleotide variants, small insertions/deletions and large genomic rearrangements (LGRs). These studies have long been run by Sanger sequencing and multiplex ligation-dependent probe amplification (MLPA). The recent introduction of next-generation sequencing (NGS) platforms dramatically improved the speed and the efficiency of DNA testing for nucleotide variants, while the possibility to correctly detect LGRs by this mean is still debated. The purpose of this study was to establish whether and to which extent the development of an analytical algorithm could help us translating NGS sequencing via an Ion Torrent PGM platform into a tool suitable to identify LGRs in hereditary breast-ovarian cancer patients.

Identification of novel BRCA1 large genomic rearrangements by a computational algorithm of amplicon-based Next-Generation Sequencing data / Nicolussi, Arianna; Belardinilli, Francesca; Silvestri, Valentina; Mahdavian, Yasaman; Valentini, Virginia; D'Inzeo, Sonia; Petroni, Marialaura; Zani, Massimo; Ferraro, Sergio; Di Giulio, Stefano; Fabretti, Francesca; Fratini, Beatrice; Gradilone, Angela; Ottini, Laura; Giannini, Giuseppe; Coppa, Anna; Capalbo, Carlo. - In: PEERJ. - ISSN 2167-8359. - 7:(2019). [10.7717/peerj.7972]

Identification of novel BRCA1 large genomic rearrangements by a computational algorithm of amplicon-based Next-Generation Sequencing data

Nicolussi, Arianna;Belardinilli, Francesca;Silvestri, Valentina;Mahdavian, Yasaman;Valentini, Virginia;D'Inzeo, Sonia;Petroni, Marialaura;Zani, Massimo;Ferraro, Sergio;Di Giulio, Stefano;Fabretti, Francesca;Fratini, Beatrice;Gradilone, Angela;Ottini, Laura;Giannini, Giuseppe
;
Coppa, Anna
;
Capalbo, Carlo
2019

Abstract

Genetic testing for BRCA1/2 germline mutations in hereditary breast/ovarian cancer patients requires screening for single nucleotide variants, small insertions/deletions and large genomic rearrangements (LGRs). These studies have long been run by Sanger sequencing and multiplex ligation-dependent probe amplification (MLPA). The recent introduction of next-generation sequencing (NGS) platforms dramatically improved the speed and the efficiency of DNA testing for nucleotide variants, while the possibility to correctly detect LGRs by this mean is still debated. The purpose of this study was to establish whether and to which extent the development of an analytical algorithm could help us translating NGS sequencing via an Ion Torrent PGM platform into a tool suitable to identify LGRs in hereditary breast-ovarian cancer patients.
2019
Analytical validation; BRCA1 LGRs; DQ analysis; Deep coverage; MLPA; NGS
01 Pubblicazione su rivista::01a Articolo in rivista
Identification of novel BRCA1 large genomic rearrangements by a computational algorithm of amplicon-based Next-Generation Sequencing data / Nicolussi, Arianna; Belardinilli, Francesca; Silvestri, Valentina; Mahdavian, Yasaman; Valentini, Virginia; D'Inzeo, Sonia; Petroni, Marialaura; Zani, Massimo; Ferraro, Sergio; Di Giulio, Stefano; Fabretti, Francesca; Fratini, Beatrice; Gradilone, Angela; Ottini, Laura; Giannini, Giuseppe; Coppa, Anna; Capalbo, Carlo. - In: PEERJ. - ISSN 2167-8359. - 7:(2019). [10.7717/peerj.7972]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1343153
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