Prevalence of Comorbidities in Individuals with Neurodevelopmental Disorders from the Aggregated Phenomics Data of 51,227 Pediatric Individuals

The prevalence of comorbidities in individuals with neurodevelopmental disorders (NDDs) is not well understood, yet these are important for accurate diagnosis and prognosis in routine care and for characterizing the clinical spectrum of NDD syndromes. We thus developed PhenomAD-NDD, an aggregated database containing the comorbid phenotypic data of 51,227 individuals with NDD, all harmonized into Human Phenotype Ontology (HPO), with in total 3,054 unique HPO terms. We demonstrate that almost all congenital anomalies are more prevalent in the NDD population than in the general population, and the NDD baseline prevalence allows for an approximation of the enrichment of symptoms. For example, such analyses of 33 genetic NDDs show that 32% of enriched phenotypes are currently not reported in the clinical synopsis in the Online Mendelian Inheritance in Man (OMIM). PhenomAD-NDD is open to all via a visualization online tool and allows us to determine the enrichment of symptoms in NDD. Data from pediatric populations with neurodevelopmental disorders, obtained through a combinatorial strategy of literature review scoping and in-patient appointments, were used to construct a Phenomics Aggregation Database (PhenomAD-NDD) that can aid clinical diagnosis of comorbidities.