Evidence map›Paper›PMID 41651809›Full record

ArticleTranslational psychiatry2026

Convergence and divergence of genes informed by common and rare variants of autism spectrum disorders in tissue-specific pathways and gene networks.

Cameron Gill, Yanning Zuo, Daniel Sung-Min Ha, Russell Littman, Jason Hong, Jenny Cheng, Montgomery Blencowe, Susanna Sue-Ming Wang, Weizhe Hong, Ye Emily Wu and 1 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Cameron GillDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, USA.ORCID http://orcid.org/0000-0002-9419-0882
Yanning ZuoNeuroscience Interdepartmental Ph.D. Program, UCLA, Los Angeles, USA.
Daniel Sung-Min HaDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, USA.ORCID http://orcid.org/0000-0003-3945-8329
Russell LittmanDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, USA.
Jason HongDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, USA.
Jenny ChengDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, USA.
Montgomery BlencoweDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, USA.
Susanna Sue-Ming WangDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, USA.
Weizhe HongDepartment of Neurobiology, UCLA, Los Angeles, USA.ORCID http://orcid.org/0000-0003-1523-8575
Ye Emily WuDepartment of Neurobiology, UCLA, Los Angeles, USA.
Xia YangDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, USA. xyang123@ucla.edu.ORCID http://orcid.org/0000-0002-3971-038X

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Integrative Multiomics to Uncover Novel Genes and Networks in Pulmonary Arterial HypertensionK08HL169982 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jason Hong · 2023 to 2026
$706k
NHLBI NIH HHS K08 HL169982U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) UL1TR001881
6 · The paper itself

Abstract

The genetic heterogeneity of autism spectrum disorder (ASD) presents significant challenges in understanding its pathogenic mechanisms, as the genetic risk involves numerous common variants and rare de novo or inherited variants. Prior research has mainly focused on identifying rare variants and their impact on neurodevelopment and neuronal functions in cortical brain regions. By contrast, common variants, which contribute substantially to ASD heritability, remain understudied, suggesting a need to consider both variant types to understand ASD's genetic mechanisms. Previous studies have also implicated subcortical brain regions and peripheral digestive and immune systems, but tissue-specific mechanisms remain unclear. We address these knowledge gaps by identifying gene networks, pathways, and key regulators informed by ASD common variants in brain and peripheral tissues, further examining whether these networks also capture genes informed by rare variants. Our approach integrates genome wide association study (GWAS) summary statistics, tissue-level genetics of gene expression, and gene coexpression and transcriptional regulatory networks across ~50 tissues. Our multitissue, multiomics analysis reveals that key brain regions and networks crucial for synaptic signaling and neurodevelopment are enriched for both rare and common variants, whereas peripheral tissues, such as the digestive and immune systems, are primarily informed by common variants. This partitioning of key tissues and biological pathways into core (targeted by both variant types) and modifying components provide insight into ASD heterogeneity. We also identified central gene network regulators, such as SYT1 and ADD2, which may orchestrate the effects of both common and rare ASD genetic risk factors on ASD pathogenesis.

Indexed as

Autism Spectrum DisorderGene Regulatory NetworksBrainGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansMultiomics

Identifiers

PMID41651809
PMCPMC12923589

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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.