Evidence map›Paper›PMID 42680562›Full record

ArticleGenome research2026

De novo structural variants in autism spectrum disorder disrupt distal regulatory interactions of neuronal genes.

Ketrin Gjoni, Xingjie Ren, Amanda Everitt, Yin Shen, Katherine S Pollard

Abstract read
In one paragraph

Article in Genome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ketrin GjoniGladstone Institute of Data Science and Biotechnology, San Francisco, California 94158, USA.ORCID http://orcid.org/0000-0001-5833-1089
Xingjie RenInstitute for Human Genetics, University of California San Francisco, San Francisco, California 94143, USA.
Amanda EverittGladstone Institute of Data Science and Biotechnology, San Francisco, California 94158, USA.
Yin ShenInstitute for Human Genetics, University of California San Francisco, San Francisco, California 94143, USA.
Katherine S PollardGladstone Institute of Data Science and Biotechnology, San Francisco, California 94158, USA; katherine.pollard@gladstone.ucsf.edu.ORCID http://orcid.org/0000-0002-9870-6196

Funding

Genetic determinants of 4D genome folding in human cardiac developmentU01HL157989 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BRUNEAU, BENOIT GAETAN, POLLARD, KATHERINE S. · 2020 to 2024
$3.8M
Deciphering the 3D genome of pediatric brain tumorsR03OD034499 · OD · WEILL MEDICAL COLL OF CORNELL UNIV · PI DAHMANE, NADIA, POLLARD, KATHERINE S. · 2022 to 2022
$391k
NHLBI NIH HHS U01 HL157989NIH HHS R03 OD034499
6 · The paper itself

Abstract

Three-dimensional genome organization plays a critical role in gene regulation, and disruptions can lead to developmental disorders by altering the contact between genes and their distal regulatory elements. Structural variants (SVs) can disturb local genome organization, such as the merging of topologically associating domains upon boundary deletion. Testing large numbers of SVs experimentally for their effects on chromatin structure and gene expression is time and cost prohibitive. To address this, we propose a computational approach to predict SV impacts on genome folding, which can help prioritize causal hypotheses for functional testing. We develop a weighted scoring method that measures chromatin contact changes specifically affecting regions of interest, such as regulatory elements or promoters, and implement it in the SuPreMo-Akita software. With this tool, we rank hundreds of de novo SVs (dnSVs) from autism spectrum disorder (ASD) individuals and their unaffected siblings based on predicted disruptions to nearby neuronal regulatory interactions. This reveals that putative

Indexed as

Autism Spectrum DisorderGenomic Structural VariationNeuronsChromatinGene Expression RegulationHumansPromoter Regions, GeneticRegulatory Sequences, Nucleic AcidSoftwareChromatin

Identifiers

PMID42680562
PMCPMC13534236

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.