Literature DB >> 32242544

Identification of two novel LDLR variants by Next Generation Sequencing.

Simona Moffa1, Giorgia Mazzuccato2, Maria De Bonis2, Elisa De Paolis2, Maria Elisabetta Onori2, Alfredo Pontecorvi1, Andrea Urbani3, Andrea Giaccari1, Ettore Capoluongo4, Angelo Minucci2.   

Abstract

INTRODUCTION: Familial hypercholesterolemia (FH) is an autosomal dominant inherited disease characterized by elevated plasma low-density lipoprotein cholesterol (LDL-C). Targeted Next Generation Sequencing (NGS) is a new opportunity to expand the existing pathogenic variants (PVs) spectrum associated to FH. Our aim was to report a diagnostic NGS-based approach to detect variants associated to FH.
METHODS: We report two patients: a 48-year-old Asian woman, without known history of hypercholesterolemia and a 46-year-old Caucasian man, with childhood hypercholesterolemia.
RESULTS: An effective NGS-based pipeline, FH-Devyser kit/Amplicon Suite, beginning from sequencing to data analysis, did not identify known PVs in the LDLR, APOB, APOE, LDLRAP1, STAP1 and PCSK9 genes, but revealed two novel LDLR variants (c.1564A>T, p.Ile522Phe and c.1688C>T, p.Pro563Leu). DISCUSSION AND
CONCLUSIONS: This study showed that an effective NGS-based pipeline led to a definitive diagnosis in two FH families, allowing to plan their therapeutic treatment. Although the functional consequence of the two LDLR variants needs to be assessed in vitro, the in silico analysis and high preservation of the two amino acid positions observed in the LDLR protein, across different animal species, suggest that both variants are deleterious.

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Year:  2020        PMID: 32242544     DOI: 10.4415/ANN_20_01_17

Source DB:  PubMed          Journal:  Ann Ist Super Sanita        ISSN: 0021-2571            Impact factor:   1.663


  1 in total

1.  A novel low-density lipoprotein receptor variant in a Ukrainian patient: a case report and overview of the disease-causing low-density lipoprotein receptor variants associated to familial hypercholesterolemia.

Authors:  Simona Moffa; Maria Elisabetta Onori; Elisa De Paolis; Claudio Ricciardi Tenore; Alessia Perrucci; Alfredo Pontecorvi; Andrea Giaccari; Andrea Urbani; Angelo Minucci
Journal:  Mol Biol Rep       Date:  2021-11-30       Impact factor: 2.316

  1 in total

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