ArticleDevelopment and psychopathology2020
Transcriptional subtyping explains phenotypic variability in genetic subtypes of autism spectrum disorder.
Article in Development and psychopathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Zebrafish behavioral phenomics reveals functional subtypes of autism risk genes.Molecular psychiatry · 2026Article
- Patient-derived brain organoids reveal divergent neuronal activity across subpopulations of autism spectrum disorder.Translational psychiatry · 2026Article
- Article
- Characterizing the autism spectrum phenotype in DYRK1A-related syndrome.Autism research : official journal of the International Society for Autism Research · 2023Article
- Reconsidering animal models used to study autism spectrum disorder: Current state and optimizing future.Genes, brain, and behavior · 2022Review
- Reflections on the genetics-first approach to advancements in molecular genetic and neurobiological research on neurodevelopmental disorders.Journal of neurodevelopmental disorders · 2021Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder characterized by deficits in social communication and presence of restricted, repetitive behaviors, and interests. However, individuals with ASD vary significantly in their challenges and abilities in these and other developmental domains. Gene discovery in ASD has accelerated in the past decade, and genetic subtyping has yielded preliminary evidence of utility in parsing phenotypic heterogeneity through genomic subtypes. Recent advances in transcriptomics have provided additional dimensions with which to refine genetic subtyping efforts. In the current study, we investigate phenotypic differences among transcriptional subtypes defined by neurobiological spatiotemporal co-expression patterns. Of the four transcriptional subtypes examined, participants with mutations to genes typically expressed highly in all brain regions prenatally, and those with differential postnatal cerebellar expression relative to other brain regions, showed lower cognitive and adaptive skills, higher severity of social communication deficits, and later acquisition of speech and motor milestones, compared to those with mutations to genes highly expressed during the postnatal period across brain regions. These findings suggest higher-order characterization of genetic subtypes based on neurobiological expression patterns may be a promising approach to parsing phenotypic heterogeneity among those with ASD and related neurodevelopmental disorders.
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Registered trials
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