Genetic and Cortical Cell-Type Liability Architecture of Autism
Renne, T.; Benitiere, F.; Poulain, C.; Dubuc, A.; Bourque, V.-R.; Huguet, G.; Nowakowski, T. J.; Jacquemont, S.
Show abstract
Autism Spectrum Disorders (ASD) can result from rare genetic variants interfering with brain development. Whether their effects converge on specific cortical cell types remains unresolved. Previous studies have focused on a narrow set of high-confidence ASD (hcASD) genes, which were enriched in neuronal cell types during prenatal development. By contrast, studies of postnatal cerebral cortex have repeatedly associated ASD with transcriptional changes in both neurons and glia. To comprehensively map ASD genetic liability across cortical cell types, we conducted a functional genetic burden analysis with 124,416 individuals, including ASD probands and unaffected family members. We examined six classes of rare gene-disrupting variants aggregated across a complete spectrum of transcriptomic cell types of the human prefrontal cortex throughout development. We show that cellular liabilities in ASD delineate a broad and developmentally dynamic architecture. Likewise, we uncover high dependency on classes of variants with Loss-of-Function (LoF) and de novo linked to prenatal cells, while duplications, missense, and inherited variants increase liability through postnatal and glial cell types. Notably, inherited LoF variants uncover the contribution of microglia to ASD liability, also supported by transcriptomic evidence from postmortem ASD brains. Finally, we show that overall, variants disrupting genes differentially expressed in postmortem ASD brains significantly contribute to ASD liability, demonstrating convergence between disrupted transcriptomes and genetic liability. Together, our study offers an integrative, cell-type-aware framework for interpreting ASD risk genetics.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Rare coding variation illuminates the allelic architecture, risk genes, cellular expression patterns, and phenotypic context of autism 98%
- Decomposition of phenotypic heterogeneity in autism reveals distinct and coherent genetic programs 98%
- A phenotypic spectrum of autism is attributable to the combined effects of rare variants, polygenic risk and sex 97%
Similar papers in this journal
- Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism 97%
- Genome-wide rare variant score associates with morphological subtypes of autism spectrum disorder 97%
- Identifying cell type specific driver genes in autism-associated copy number loci from cerebral organoids 96%
Similar papers in this journal
- Cord blood DNA methylome in newborns later diagnosed with autism spectrum disorder reflects early dysregulation of neurodevelopmental and X-linked genes 94%
- Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex 94%
- Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance 93%
Similar papers in this journal
- Connecting gene regulatory relationships to neurobiological mechanisms of brain disorders 95%
- Acetylated Chromatin Domains Link Chromosomal Organization to Cell- and Circuit-level Dysfunction in Schizophrenia and Bipolar Disorder 94%
- A common computational and neural anomaly across mouse models of autism 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.