Novel SYNGAP1 Variant in an Adult Individual Affected by Intellectual Disability and Epilepsy: A Cold Case Solved through Whole-Exome Sequencing

Mol Syndromol. 2023 Oct;14(5):433-438. doi: 10.1159/000529408. Epub 2023 May 9.

Abstract

Introduction: Nowadays, whole-exome sequencing (WES) analysis is an essential part in the diagnostic pathway of individuals with complex phenotypes when routine exams, such as array-CGH and gene panels, have proved inconclusive. However, data on the diagnostic rate of WES analysis in adult individuals, negative to first-tier tests, are lacking. This is because initiatives with the aim of diagnosing rare diseases focus mainly on pediatric unsolved cases.

Case presentation: We hereby present a 45-year-old woman with severe intellectual disability, previous psychomotor developmental delay, behavioral disorders, stereotypies, nonconvulsive epilepsy, and dysmorphisms. The proband first came to our attention when she was 4 years old (in 1982); since then, she has undergone several clinical and instrumental assessments, without reaching a genetic diagnosis. At last, through WES analysis, a novel de novo variant in SYNGAP1 was found. The clinical characteristics associated with SYNGAP1 are similar to those presented by the proband.

Conclusion: The variant is predicted to be deleterious and is most probably the cause of the proband's phenotype. The perseverance of the clinicians and the family allowed us to reach a diagnosis in a woman with a more than 30-year history of clinical evaluations, instrumental assessments, and genetic tests. This diagnosis was of significant relevance in genetic counseling for family members and the proband herself.

Keywords: Adult patient; Dysmorphic facial features; Epilepsy; Neurodevelopmental disorder; Rare disorder; SYNGAP1; Whole-exome sequencing.

Publication types

  • Case Reports

Grants and funding

Funding for this research was provided by Italian Ministero della Salute (Project N. RF-2016-02361949 to A.P.; “Cinque per Mille” and Ricerca Corrente) and, in part, by Italian Ministero dell'Istruzione dell'Università e della Ricerca (PRIN Project N. 20203P8C3X_001 to F.Z. and A.P.). This work was developed within the framework of the DINOGMI Department of Excellence (MIUR 2018-2022, Legge 232 del 2016).