Towards a Change in the Diagnostic Algorithm of Autism Spectrum Disorders: Evidence Supporting Whole Exome Sequencing as a First-Tier Test.
Ana Arteche-LópezMaria José Gómez RodríguezMaria Teresa Sánchez-CalvínJuan Francisco Quesada-EspinosaJose Miguel Lezana RosalesCarmen Palma MillaIrene Gomez-ManjonIrene Hidalgo MayoralRubén Pérez de la FuenteArancha Díaz de BustamanteMaría Teresa DarnaudeBelén Gil-FournierSoraya Ramiro LeónPatricia Ramos GómezOlalla Sierra TomilloAlexandra Juárez RufiánMaria Isabel Arranz CanoRebeca Villares AlonsoPablo Morales-PérezAlejandro Segura-TudelaAna CamachoNoemí NuñezRogelio SimónMarta Moreno-GarcíaMaria Isabel Alvarez-MoraPublished in: Genes (2021)
Autism spectrum disorder (ASD) is a prevalent and extremely heterogeneous neurodevelopmental disorder (NDD) with a strong genetic component. In recent years, the clinical relevance of de novo mutations to the aetiology of ASD has been demonstrated. Current guidelines recommend chromosomal microarray (CMA) and a FMR1 testing as first-tier tests, but there is increasing evidence that support the use of NGS for the diagnosis of NDDs. Specifically in ASD, it has not been extensively evaluated and, thus, we performed and compared the clinical utility of CMA, FMR1 testing, and/or whole exome sequencing (WES) in a cohort of 343 ASD patients. We achieved a global diagnostic rate of 12.8% (44/343), the majority of them being characterised by WES (33/44; 75%) compared to CMA (9/44; 20.4%) or FMR1 testing (2/44; 4.5%). Taking into account the age at which genetic testing was carried out, we identified a causal genetic alteration in 22.5% (37/164) of patients over 5 years old, but only in 3.9% (7/179) of patients under this age. Our data evidence the higher diagnostic power of WES compared to CMA in the study of ASD and support the implementation of WES as a first-tier test for the genetic diagnosis of this disorder, when there is no suspicion of fragile X syndrome.
Keyphrases
- autism spectrum disorder
- end stage renal disease
- attention deficit hyperactivity disorder
- intellectual disability
- ejection fraction
- chronic kidney disease
- newly diagnosed
- healthcare
- prognostic factors
- primary care
- gene expression
- peritoneal dialysis
- copy number
- working memory
- machine learning
- case report
- patient reported
- neural network