Evidence map›Paper›PMID 41282157›Full record

ArticleResearch square2025

Spatiotemporal Brain Transcriptomics Reveal Risk Gene Hot-Spots in Major Neuropsychiatric Disorders.

Weiqing Liu, Tomomi Shimogori

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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

2 authors.

Weiqing LiuShanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University.ORCID 0000-0002-5808-1785
Tomomi ShimogoriRIKEN Center for Brain Science.

Funding

Developmental cell census of human and non-human primate brainU01MH124619 · NIMH · YALE UNIVERSITY · PI SESTAN, NENAD · 2020 to 2022
$3.3M
NIMH NIH HHS U01 MH124619
6 · The paper itself

Abstract

The temporal onset of polygenic brain disorders has been closely linked to the developmental dynamics of genome-wide risk gene expression. In this study, we systematically characterized the spatiotemporal expression patterns of these risk genes and their relevance in differentiating major neuropsychiatric disorders. We analyzed genome-wide risk gene sets for Intelligence Quotient (IQ), Autism Spectrum Disorders (ASD), Attention Deficit Hyperactive Disorder (ADHD), Tourette's Syndrome (TS), Obsessive Compulsive Disorder (OCD), Anorexia Nervosa (ANO), Neuroticism, Panic disorder, Major Depressive Disorder (MDD), Bipolar Disorder (BIP), Schizophrenia (SZ), Epilepsy, Alzheimer's Disease (AD), and Parkinson's Disease (PD). Our results reveal distinct patterns of spatiotemporal enrichment across these traits, allowing their classification into three clusters. To validate the biological significance of these enrichment patterns, we integrated clinical MRI datasets and confirmed structural alterations within the identified spatiotemporal "hot-spots". Furthermore, by combining gene co-expression network analysis and single-cell transcriptomic data, we delineated the cell-type specificity and functional pathways underlying risk gene enrichment.

Identifiers

PMID41282157
PMCPMC12632723

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Registered trials

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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.