Non-coding Regulatory Variants in ASD (Autism Spectrum Disorders) Disrupt CTCF Domains and Shape Cell-Type-Specific Neurodevelopmental Landscapes Revealed by Single-Cell Analyses and Cortical Organoids
Abstract
BACKGROUND: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with substantial genetic heterogeneity. While coding variants have been extensively studied, non-coding regulatory variants-which constitute approximately 99% of the human genome-remain largely underexplored. Their functional impact, particularly at the single-cell level and in organoid models, requires further characterization to better understand how these variants contribute to ASD pathogenesis.
METHODS: We performed targeted sequencing of 85,394 active cis-regulatory elements (cCREs) from ENCODE v2 in 600 samples (200 trios) previously negative for pathogenic coding variants. Using the Sei deep learning framework, we predicted regulatory impact scores for de novo and ultra-rare inherited variants. Gene mapping of regulatory variants was done using the T Gene tool which assigns target genes by integrating expression data. Differential gene expression was assessed using single-nucleus RNA-seq data from ASD and control brains (n = 64 individuals, ~ 600,000) from Wembley et al, 2023 and temporal gene expression dynamics was characterized in human cortical organoids scRNA seq data across four developmental stages (23 days to 6 months) from the Cortical Organoid Atlas (Broad Institute).
RESULTS: We identified 164 de novo variants in 103 probands and 53,023 ultra-rare inherited variants in 199 probands. Following Sei-based prioritization, 47 de novo variants in 44 probands and 13,258 inherited…
How strong is the evidence?
Evidence Hub reads this as a preprint, done in cell cultures (in vitro), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health. Reported size: 64 participants or records.
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