Evidence map›Paper›PMID 40196527›Full record

ArticlebioRxiv : the preprint server for biology2025

Genomic and Transcriptomic Signatures of SETD1A Disruption in Human Excitatory Neuron Development and Psychiatric Disease Risk.

Zhixiong Sun, Huixiang Zhu, Xiaofu He, Bas Lendemeijer, Zanxu Wang, Jack Fan, Yan Sun, Zhiguo Zhang, Sander Markx, Steven A Kushner and 2 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Zhixiong SunMortimer B. Zuckerman Mind Brain and Behavior Institute, Columbia University, New York, NY 10027, USA.
Huixiang ZhuDepartment of Psychiatry, Columbia University & New York State Psychiatric Institute, New York, NY 10032, USA.
Xiaofu HeDepartment of Psychiatry, Columbia University & New York State Psychiatric Institute, New York, NY 10032, USA.
Bas LendemeijerStavros Niarchos Foundation Center for Precision Psychiatry and Mental Health, New York, NY 10032, USA.
Zanxu WangDepartment of Psychiatry, Columbia University & New York State Psychiatric Institute, New York, NY 10032, USA.
Jack FanDepartment of Psychiatry, Columbia University & New York State Psychiatric Institute, New York, NY 10032, USA.
Yan SunDepartment of Psychiatry, Columbia University & New York State Psychiatric Institute, New York, NY 10032, USA.
Zhiguo ZhangDepartment of Genetics and Development, Columbia University, New York, NY 10032, USA.
Sander MarkxDepartment of Psychiatry, Columbia University & New York State Psychiatric Institute, New York, NY 10032, USA.
Steven A KushnerDepartment of Psychiatry, Columbia University & New York State Psychiatric Institute, New York, NY 10032, USA.
Bin XuDepartment of Psychiatry, Columbia University & New York State Psychiatric Institute, New York, NY 10032, USA.
Joseph A GogosMortimer B. Zuckerman Mind Brain and Behavior Institute, Columbia University, New York, NY 10027, USA.

Funding

Deciphering the role of histone methyltransferase SETD1A in schizophrenia susceptibilityR01MH112860 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GOGOS, JOSEPH A · 2017 to 2021
$2.8M
NIMH NIH HHS R01 MH112860
6 · The paper itself

Abstract

Genetic disruption of SETD1A markedly increases the risk for schizophrenia. To elucidate the underlying mechanisms, we generated isogenic organoid models of the developing human cerebral cortex harboring a

Identifiers

PMID40196527
PMCPMC11974865

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.