Evidence map›Paper›PMID 42281968›Full record

ArticleResearch square2026

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.

Sara Dominguez-Alonso, P Carballo-Pacoret, Jr Paul Trotta, J Gonzalez-Peñas, M Parellada, C Arango, A Carracedo, C Rodriguez-Fontenla

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In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sara Dominguez-AlonsoUniversidad de Santiago de Compostela, Santiago de Compostela A Coruña.
P Carballo-PacoretUniversidad de Santiago de Compostela, Santiago de Compostela A Coruña.
Jr Paul TrottaCNAG-CRG, Barcelona Institute of Science and Technology (BIST).
J Gonzalez-PeñasHospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Universidad Complutense.
M ParelladaHospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Universidad Complutense.
C ArangoHospital Universitario La Paz, Universidad Autónoma de Madrid, CIBERSAM.
A CarracedoUniversidad de Santiago de Compostela, Santiago de Compostela A Coruña.
C Rodriguez-FontenlaUniversidad de Santiago de Compostela, Santiago de Compostela A Coruña.

Funding

ProNET: Psychosis-Risk Outcomes NetworkU01MH124639 · NIMH · YALE UNIVERSITY · PI CARRIE E BEARDEN, JOHN M KANE · 2020 to 2026
$81.2M
Randomized controlled trial of enhanced coordinated specialty care (CSC 2.0)P50MH115846 · NIMH · MCLEAN HOSPITAL · PI Dost Ongur · 2019 to 2026
$16.9M
NIMH NIH HHS P50 MH115846NIMH NIH HHS U01 MH124639
6 · The paper itself

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 variants in 198 probands showed significant regulatory impact score > 1.1. De novo variants were enriched in promoter-like sequences (PLS) (p = 0.02), with 53.19% affecting CTCF-mediated chromatin boundaries. Inherited variants showed significant enrichment for CTCF-binding loss (p = 1.55×10 Conclusions: Our analysis of regulatory variants in ASD indicates that non-coding mutations significantly contribute to ASD risk by disrupting CTCF domains, leading to alterations in cell type-specific gene regulation. Most de novo regulatory mutations predominantly target genes whose expression is dynamic, varying across different cell types and neurodevelopmental stages, whereas inherited regulatory variants affect constitutively expressed genes across multiple cell types, with stable expression throughout development with the exception of CLU. We also found that genes affected by de novo regulatory variants substantially overlap with those harboring pathogenic coding mutations identified in large-scale sequencing studies. These.

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PMID42281968
PMCPMC13252571

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