Journal of Medical GeneticsGenomicsPeer-reviewed journal article
Gene discoveries in autism are biased towards comorbidity with intellectual disability
Abstract
Autism typically presents with a highly heterogeneous set of features, including frequent comorbidity with intellectual disability (ID). The overlap between these two phenotypes has confounded the accurate diagnosis and discovery of genetic factors associated with autism. We analyzed genetic variants in 2,290 individuals with autism from the Simons Simplex Collection (SSC) who have either ID or normal cognitive function to determine whether genes associated with autism also contribute towards ID comorbidity. We found that individuals who carried variants in a set of 173 reported autism-associated genes showed decreased IQ (p=5.49x10-6) and increased autism severity (p=0.013) compared with individuals without such variants. A subset of autism-associated genes also showed strong evidence for ID comorbidity in published case reports. We also found that individuals with high-functioning autism (IQ>100) had lower frequencies of CNVs (p=0.065) and LGD variants (p=0.021) compared with individuals who manifested both autism and ID (IQ<70). These data indicated that de novo LGD variants conferred a 1.53-fold higher risk (p=0.035) towards comorbid ID, while LGD mutations specifically disrupting autism-associated genes conferred a 4.85-fold increased risk (p=0.011) for comorbid ID. Furthermore, de novo LGD variants in individuals with high-functioning autism were more likely to disrupt genes with little functional relevance towards neurodevelopment, as demonstrated by evidence from pathogenicity metrics, expression patterns in the developing brain, and mouse model phenotypes. Overall, our data suggest that de novo pathogenic variants disrupting genes associated with autism contribute towards autism and ID comorbidity, while other genetic factors are likely to be causal for high-functioning autism.
- organism: human
- assay: whole-exome sequencing
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 15
- FWCI
- 1.61
- Field percentile
- top 19%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A general framework for identifying rare variant combinations in complex disorders
Vijay Kumar Pounraja, Santhosh Girirajan·Genome ResearchPeer-reviewed·Mar 17, 2022
- The impact of comorbidity of intellectual disability on estimates of autism prevalence among children enrolled in US special education
Andrew Polyak, Richard M Kubina, Santhosh Girirajan·American Journal of Medical Genetics Part B: Neuropsychiatric GeneticsPeer-reviewed·Oct 1, 2015
- Sub-diagnostic effects of genetic variants associated with autism
Thomas Rolland, Freddy Cliquet, … Thomas Bourgeron·European NeuropsychopharmacologyPeer-reviewed·Sep 23, 2022
- Rare variation illuminates the distinct and pleiotropic genetic architecture of autism across neuropsychiatric traits
F. Kyle Satterstrom, Chiara Auwerx, … Mark J. Daly·medRxiv·Aug 26, 2026
- Calculating the Effects of Autism Risk Gene Variants on Dysfunction of Biological Processes Identifies Clinically-Useful Information
Olivia J. Veatch, Diego R. Mazzotti, … Allan I Pack·bioRxiv·Oct 22, 2018
- Characterization of Intellectual disability and Autism comorbidity through gene panel sequencing
Maria Cristina Aspromonte, Mariagrazia Bellini, … Emanuela Leonardi·Human MutationPeer-reviewed·Jun 18, 2019