Characterization of intellectual disability and autism comorbidity through gene panel sequencing.
Maria Cristina AspromonteMariagrazia BelliniAlessandra GaspariniMarco CarraroElisa BettellaRoberta PolliFederica CescaStefania BigoniStefania BoniOmbretta CarletSusanna NegrinIsabella MammiDonatella MilaniAngela PeronStefano SartoriIrene ToldoFiorenza SoliLicia TurollaFranco StanzialFrancesco BenedicentiCristina Marino-BusljeSilvio C E TosattoAlessandra MurgiaEmanuela LeonardiPublished in: Human mutation (2019)
Intellectual disability (ID) and autism spectrum disorder (ASD) are clinically and genetically heterogeneous diseases. Recent whole exome sequencing studies indicated that genes associated with different neurological diseases are shared across disorders and converge on common functional pathways. Using the Ion Torrent platform, we developed a low-cost next-generation sequencing gene panel that has been transferred into clinical practice, replacing single disease-gene analyses for the early diagnosis of individuals with ID/ASD. The gene panel was designed using an innovative in silico approach based on disease networks and mining data from public resources to score disease-gene associations. We analyzed 150 unrelated individuals with ID and/or ASD and a confident diagnosis has been reached in 26 cases (17%). Likely pathogenic mutations have been identified in another 15 patients, reaching a total diagnostic yield of 27%. Our data also support the pathogenic role of genes recently proposed to be involved in ASD. Although many of the identified variants need further investigation to be considered disease-causing, our results indicate the efficiency of the targeted gene panel on the identification of novel and rare variants in patients with ID and ASD.
Keyphrases
- autism spectrum disorder
- intellectual disability
- copy number
- genome wide
- attention deficit hyperactivity disorder
- genome wide identification
- end stage renal disease
- healthcare
- low cost
- chronic kidney disease
- emergency department
- electronic health record
- newly diagnosed
- genome wide analysis
- gene expression
- dna methylation
- high throughput
- cancer therapy
- machine learning
- transcription factor
- artificial intelligence
- brain injury
- deep learning
- single cell
- blood brain barrier
- molecular docking
- cord blood
- big data