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Updated: May 21, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Clinical signatures of SYNGAP1-related disorders through data integration
Jillian L McKee1, Jan H Magielski2, Julie Xian2
1Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA; The Epilepsy NeuroGenetics Initiative (ENGIN), Children's Hospital of Philadelphia, Philadelphia, PA; Department of Biomedical and Health Informatics (DBHi), Children's Hospital of Philadelphia, Philadelphia, PA; Epilepsy and Neurodevelopmental Disorders Center (ENDD), Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Purpose:
SYNGAP1 is a genetic neurodevelopmental disorder characterized by generalized epilepsy, autism, and intellectual disability. Despite a comparatively high prevalence, the longitudinal landscape remains relatively unexplored, and complete characterization is essential for clinical trial readiness.
Methods:
We combined electronic medical record data (n = 158) with insurance claims data (n = 246) to evaluate longitudinal progression of symptoms.
Results:
Phenotypes associated with SYNGAP1 included behavioral abnormalities (odds ratio [OR]: 12.35, 95% CI: 9.21-16.78), generalized-onset seizures (OR: 1.56, 95% CI: 1.20-2.02), autism (OR: 12.23, 95% CI: 9.29-16.24), and a developmental profile with prominent deficits in verbal skill acquisition. Several clinical features showed distinct age-related patterns, such as a more than 5-fold risk of autistic behavior emerging between 27 and 30 months. Generalized-onset seizures were significantly increased (OR: 4.05, 95% CI: 2.02-7.59) after 3 years of age and persisted over time. Valproic acid and clobazam were commonly used for epilepsy treatment, whereas risperidone, aripiprazole, and guanfacine were commonly used for behavior management. Valproate and lamotrigine were more effective at reducing seizure frequencies or maintaining seizure freedom than other antiseizure medications.
Conclusion:
We delineated the seizure, developmental, and behavioral trajectories in SYNGAP1-related disorders, to improve diagnosis, prognosis, and clinical care, and facilitating clinical trial readiness.
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