Literature DB >> 28529006

Validation of a Next-Generation Sequencing Pipeline for the Molecular Diagnosis of Multiple Inherited Cancer Predisposing Syndromes.

Paula Paulo1, Pedro Pinto1, Ana Peixoto2, Catarina Santos2, Carla Pinto2, Patrícia Rocha2, Isabel Veiga2, Gabriela Soares3, Catarina Machado4, Fabiana Ramos5, Manuel R Teixeira6.   

Abstract

Despite the growing knowledge of the genetic background behind the cancers that occur in a context of hereditary predisposition, personal or family cancer history may not be clear enough to support directional gene testing. Defined targeted next-generation sequencing gene panels allow identification of the causative disease mutations of multigene syndromes and differential diagnosis for syndromes with phenotypically overlapping characteristics. Herein, we established a next-generation sequencing analysis pipeline for the molecular diagnosis of multiple inherited cancer predisposing syndromes using the commercially available target sequencing panel TruSight Cancer. To establish the analysis pipeline, we included 22 control samples with deleterious mutations covering all genes currently analyzed at our institution by standard Sanger sequencing. We tested the pipeline using 51 samples from patients with a clinical diagnosis of neurofibromatosis type 1 (NF1), 10 of which without previous molecular characterization of the causative NF1 mutations. We propose a thoroughly validated analysis pipeline that combines Isaac Enrichment, Burrows-Wheeler Aligner Enrichment, and NextGENe for the alignment and variant calling, and GeneticistAssistant for variant annotation and prioritization. This pipeline allowed the identification of disease-causing mutations in all 73 patients, including a large duplication of 37 bp in NF1. We show that high sensitivity and specificity can be achieved by using multiple bioinformatic tools for alignment and variant calling and careful variant filtering, having in mind the clinical question.
Copyright © 2017 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28529006     DOI: 10.1016/j.jmoldx.2017.05.001

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  5 in total

1.  Targeted next generation sequencing identifies functionally deleterious germline mutations in novel genes in early-onset/familial prostate cancer.

Authors:  Paula Paulo; Sofia Maia; Carla Pinto; Pedro Pinto; Augusta Monteiro; Ana Peixoto; Manuel R Teixeira
Journal:  PLoS Genet       Date:  2018-04-16       Impact factor: 5.917

2.  The ICR639 CPG NGS validation series: A resource to assess analytical sensitivity of cancer predisposition gene testing.

Authors:  Shazia Mahamdallie; Elise Ruark; Esty Holt; Emma Poyastro-Pearson; Anthony Renwick; Ann Strydom; Sheila Seal; Nazneen Rahman
Journal:  Wellcome Open Res       Date:  2018-06-12

Review 3.  Hereditary Predisposition to Prostate Cancer: From Genetics to Clinical Implications.

Authors:  Andreia Brandão; Paula Paulo; Manuel R Teixeira
Journal:  Int J Mol Sci       Date:  2020-07-16       Impact factor: 5.923

4.  Performance evaluation of pipelines for mapping, variant calling and interval padding, for the analysis of NGS germline panels.

Authors:  Maria Zanti; Kyriaki Michailidou; Maria A Loizidou; Christina Machattou; Panagiota Pirpa; Kyproula Christodoulou; George M Spyrou; Kyriacos Kyriacou; Andreas Hadjisavvas
Journal:  BMC Bioinformatics       Date:  2021-04-28       Impact factor: 3.169

5.  The role of TP53 pathogenic variants in early-onset HER2-positive breast cancer.

Authors:  Carla Escudeiro; Carla Pinto; Joana Vieira; Ana Peixoto; Pedro Pinto; Manuela Pinheiro; Catarina Santos; Joana Guerra; Susana Lisboa; Rui Santos; João Silva; Conceição Leal; Nuno Coimbra; Paula Lopes; Marco Ferreira; Ana B Sousa; Manuel R Teixeira
Journal:  Fam Cancer       Date:  2020-10-14       Impact factor: 2.375

  5 in total

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