Literature DB >> 32036093

Setup and Validation of a Targeted Next-Generation Sequencing Approach for the Diagnosis of Lysosomal Storage Disorders.

Alessandra Zanetti1, Francesca D'Avanzo1, Loris Bertoldi2, Guido Zampieri2, Erika Feltrin2, Fabio De Pascale2, Angelica Rampazzo3, Monica Forzan4, Giorgio Valle2, Rosella Tomanin5.   

Abstract

Lysosomal storage disorders (LSDs) are monogenic diseases, due to accumulation of specific undegraded substrates into lysosomes. LSD diagnosis could take several years because of both poor knowledge of these diseases and shared clinical features. The diagnostic approach includes clinical evaluations, biochemical tests, and genetic analysis of the suspected gene. In this study, we evaluated an LSD targeted sequencing panel as a tool capable to potentially reverse this classic diagnostic route. The panel includes 50 LSD genes and 230 intronic sequences conserved among 33 placental mammals. For the validation phase, 56 positive controls, 13 biochemically diagnosed patients, and nine undiagnosed patients were analyzed. Disease-causing variants were identified in 66% of the positive control alleles and in 62% of the biochemically diagnosed patients. Three undiagnosed patients were diagnosed. Eight patients undiagnosed by the panel were analyzed by whole exome sequencing: for two of them, the disease-causing variants were identified. Five patients, undiagnosed by both panel and exome analyses, were investigated through array comparative genomic hybridization: one of them was diagnosed. Conserved intronic fragment analysis, performed in cases unresolved by the first-level analysis, evidenced no candidate intronic variants. Targeted sequencing has low sequencing costs and short sequencing time. However, a coverage >60× to 80× must be ensured and/or Sanger validation should be performed. Moreover, it must be supported by a thorough clinical phenotyping.
Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32036093     DOI: 10.1016/j.jmoldx.2020.01.010

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


  7 in total

Review 1.  Splicing Modulation as a Promising Therapeutic Strategy for Lysosomal Storage Disorders: The Mucopolysaccharidoses Example.

Authors:  Juliana Inês Santos; Mariana Gonçalves; Liliana Matos; Luciana Moreira; Sofia Carvalho; Maria João Prata; Maria Francisca Coutinho; Sandra Alves
Journal:  Life (Basel)       Date:  2022-04-19

2.  Detecting lysosomal storage disorders by glycomic profiling using liquid chromatography mass spectrometry.

Authors:  Justin Mak; Tina M Cowan
Journal:  Mol Genet Metab       Date:  2021-08-21       Impact factor: 4.204

Review 3.  Highlights on Genomics Applications for Lysosomal Storage Diseases.

Authors:  Valentina La Cognata; Maria Guarnaccia; Agata Polizzi; Martino Ruggieri; Sebastiano Cavallaro
Journal:  Cells       Date:  2020-08-14       Impact factor: 6.600

4.  A Comprehensive, Targeted NGS Approach to Assessing Molecular Diagnosis of Lysosomal Storage Diseases.

Authors:  Valentina La Cognata; Sebastiano Cavallaro
Journal:  Genes (Basel)       Date:  2021-10-30       Impact factor: 4.096

5.  Diagnosis, treatment, and follow-up of a case of Wolman disease with hemophagocytic lymphohistiocytosis.

Authors:  Federico Baronio; Francesca Conti; Angela Miniaci; Filomena Carfagnini; Valeria Di Natale; Giulio Di Donato; Matthias Testi; Camilla Totaro; Alessandro De Fanti; Sara Boenzi; Carlo Dionisi-Vici; Susanna Esposito; Andrea Pession
Journal:  Mol Genet Metab Rep       Date:  2021-12-20

Review 6.  Detection of Structural Variants by NGS: Revealing Missing Alleles in Lysosomal Storage Diseases.

Authors:  Valentina La Cognata; Sebastiano Cavallaro
Journal:  Biomedicines       Date:  2022-07-29

Review 7.  Gene Therapy for Mucopolysaccharidosis Type II-A Review of the Current Possibilities.

Authors:  Paweł Zapolnik; Antoni Pyrkosz
Journal:  Int J Mol Sci       Date:  2021-05-23       Impact factor: 5.923

  7 in total

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