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Non-coding Regulatory Variants in ASD (Autism Spectrum Disorders) Disrupt CTCF Domains and Shape Cell-Type-Specific
Sara Dominguez-Alonso1, P Carballo-Pacoret1, Jr Paul Trotta2
1Universidad de Santiago de Compostela, Santiago de Compostela A Coruña.
Research Square
|June 12, 2026
Summary
Non-coding variants in Autism Spectrum Disorder (ASD) disrupt gene regulation, impacting specific cell types and developmental stages. These findings highlight the role of regulatory mutations in ASD pathogenesis.
Area of Science:
- Genetics
- Neuroscience
- Genomics
Background:
- Autism Spectrum Disorder (ASD) has significant genetic heterogeneity, with non-coding regulatory variants being largely unexplored.
- Understanding the functional impact of these variants at the single-cell level and in organoid models is crucial for ASD pathogenesis research.
Purpose of the Study:
- To investigate the role of non-coding regulatory variants in ASD pathogenesis.
- To characterize the impact of these variants on gene expression in specific cell types and developmental stages.
Main Methods:
- Targeted sequencing of active cis-regulatory elements (cCREs) in individuals with ASD.
- Utilizing the Sei deep learning framework to predict regulatory impact scores for variants.
- Integrating single-nucleus RNA-seq data from ASD brains and human cortical organoid data for gene expression analysis.
Main Results:
- Identified and prioritized de novo and ultra-rare inherited variants with significant regulatory impact.
- Found enrichment of de novo variants in promoter-like sequences and CTCF-mediated chromatin boundaries.
- Observed distinct cellular and temporal gene expression patterns for genes affected by de novo versus inherited variants.
Conclusions:
- Non-coding mutations significantly contribute to ASD risk by disrupting gene regulation, particularly CTCF domains.
- De novo regulatory mutations primarily affect dynamically expressed genes, while inherited variants impact constitutively expressed genes.
- The study validates dosage sensitivity mechanisms and highlights the overlap between regulatory and coding mutations in ASD.
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