Next-Generation Sequencing for Screening Analysis of Cystic Fibrosis: Spectrum and Novel Variants in a South–Central Italian Cohort

Author:

De Paolis Elisa12,Tilocca Bruno3ORCID,Lombardi Carla2,De Bonis Maria1,Concolino Paola1ORCID,Onori Maria Elisabetta1ORCID,Ricciardi Tenore Claudio1,Perrucci Alessia1,Roncada Paola3ORCID,Capoluongo Ettore45ORCID,Urbani Andrea12,Minucci Angelo1ORCID,Santonocito Concetta12

Affiliation:

1. Departmental Unit of Molecular and Genomic Diagnostics, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy

2. Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Catholic University of Sacred Heart, 00168 Rome, Italy

3. Department of Health Science, University “Magna Graecia” of Catanzaro, 88100 Catanzaro, Italy

4. Department of Molecular Medicine and Medical Biotechnologies, University Federico II, 80138 Naples, Italy

5. Department of Clinical Pathology and Genomics, Ospedale Cannizzaro, 95021 Catania, Italy

Abstract

The incidence of cystic fibrosis (CF) and the spectrum of cystic fibrosis transmembrane conductance regulator (CFTR) gene variants differ among geographic regions. Differences in CF carrier distribution are also reported among Italian regions. We described the spectrum of the CFTR variants observed in a large group of subjects belonging from central–southern Italy. We also provide a predictive evaluation of the novel variants identified. CFTR screening was performed in a south–central Italian cohort of 770 subjects. We adopted a next-generation sequencing (NGS) approach using the Devyser CFTR NGS kit on the Illumina MiSeq System coupled with Amplicon Suite data analysis. Bioinformatics evaluation of the impact of novel variants was described. Overall, the presence of at least one alternative allele in the CFTR gene was recorded for 23% of the subjects, with a carrier frequency of CF pathogenic variants of 1:12. The largest sub-group corresponded to the heterozygous carriers of a variant with a conflicting interpretation of pathogenicity. The common CFTR p.(Phe508del) pathogenic variants were identified in 37% of mutated subjects. Bioinformatics prediction supported a potential damaging effect for the three novel CFTR variants identified: p.(Leu1187Phe), p.(Pro22Thr), and c.744-3C > G. NGS applied to CF screening had the benefit of: effectively identifying asymptomatic carriers. It lies in a wide overview of CFTR variants and gives a comprehensive picture of the carrier prevalence. The identification of a high number of unclassified variants may represent a challenge whilst at the same time being of interest and relevance for clinicians.

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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