High Performance of a Dominant/X-Linked Gene Panel in Patients with Neurodevelopmental Disorders

Author:

Spataro Nino12ORCID,Trujillo-Quintero Juan Pablo13,Manso Carmen13,Gabau Elisabeth3,Capdevila Nuria13ORCID,Martinez-Glez Victor1ORCID,Berenguer-Llergo Antoni4ORCID,Reyes Sara2,Brunet Anna12,Baena Neus12,Guitart Miriam2,Ruiz Anna12ORCID

Affiliation:

1. Center for Genomic Medicine, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 08208 Sabadell, Spain

2. Genetics Unit, Laboratory Service, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 08208 Sabadell, Spain

3. Paediatric Unit, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 08208 Sabadell, Spain

4. Rheumatology Department, Biostatistics and Bioinformatics at Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 08208 Sabadell, Spain

Abstract

Neurodevelopmental disorders (NDDs) affect 2–5% of the population and approximately 50% of cases are due to genetic factors. Since de novo pathogenic variants account for the majority of cases, a gene panel including 460 dominant and X-linked genes was designed and applied to 398 patients affected by intellectual disability (ID)/global developmental delay (GDD) and/or autism (ASD). Pathogenic variants were identified in 83 different genes showing the high genetic heterogeneity of NDDs. A molecular diagnosis was established in 28.6% of patients after high-depth sequencing and stringent variant filtering. Compared to other available gene panel solutions for NDD molecular diagnosis, our panel has a higher diagnostic yield for both ID/GDD and ASD. As reported previously, a significantly higher diagnostic yield was observed: (i) in patients affected by ID/GDD compared to those affected only by ASD, and (ii) in females despite the higher proportion of males among our patients. No differences in diagnostic rates were found between patients affected by different levels of ID severity. Interestingly, patients harboring pathogenic variants presented different phenotypic features, suggesting that deep phenotypic profiling may help in predicting the presence of a pathogenic variant. Despite the high performance of our panel, whole exome-sequencing (WES) approaches may represent a more robust solution. For this reason, we propose the list of genes included in our customized gene panel and the variant filtering procedure presented here as a first-tier approach for the molecular diagnosis of NDDs in WES studies.

Funder

Institut d’investigació i Innovació Parc Taulí I3PT

CERCA Programme/Generalitat de Catalunya

Instituto de Salud Carlos III-FEDER

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

Reference50 articles.

1. Trends in the prevalence of developmental disabilities in US children, 1997–2008;Boyle;Pediatrics,2011

2. Mental health surveillance among children—United States, 2005–2011;Perou;MMWR Suppl.,2013

3. DSM Library (2023, January 04). Diagnostic and Statistical Manual of Mental Disorders. Available online: https://dsm.psychiatryonline.org/doi/book/10.1176/appi.books.9780890425596.

4. The genetic basis of non-syndromic intellectual disability: A review;Kaufman;J. Neurodev. Disord.,2010

5. Health and problem behavior among people with intellectual disabilities;May;Behav. Anal. Pract.,2010

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