Evidence map›Paper›PMID 36150908›Full record

ArticleBiological psychiatry2023

Single-Nuclei RNA Sequencing of 5 Regions of the Human Prenatal Brain Implicates Developing Neuron Populations in Genetic Risk for Schizophrenia.

Darren Cameron, Da Mi, Ngoc-Nga Vinh, Caleb Webber, Meng Li, Oscar Marín, Michael C O'Donovan, Nicholas J Bray

Open access · hybridAbstract read
In one paragraph

Article in Biological psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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  9. Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia.Annals of clinical and translational neurology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Darren CameronMRC Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff, United Kingdom.
Da MiTsinghua-Peking Center for Life Sciences, IDG/McGovern Institute for Brain Research, School of Life Sciences, Tsinghua University, Beijing, China.
Ngoc-Nga VinhMRC Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff, United Kingdom.
Caleb WebberUK Dementia Research Institute, Cardiff University, Cardiff, United Kingdom.
Meng LiMRC Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff, United Kingdom; Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom.
Oscar MarínMRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom; Centre for Developmental Neurobiology, King's College London, London, United Kingdom.
Michael C O'DonovanMRC Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff, United Kingdom.
Nicholas J BrayMRC Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff, United Kingdom; Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom. Electronic address: BrayN3@Cardiff.ac.uk.
Cardiff University · GBCenter for Life Sciences · CNKing's College London · GBUK Dementia Research Institute · GB

Funding

Medical Research Council MR/L010305/1Medical Research Council MR/L020807/1Medical Research Council MR/N026063/1Medical Research Council MR/R006237/1Medical Research Council MR/S010785/1Medical Research Council MR/T002379/1Wellcome TrustWellcome Trust 099175/Z/12/Z
6 · The paper itself

Abstract

backgroundWhile a variety of evidence supports a prenatal component in schizophrenia, there are few data regarding the cell populations involved. We sought to identify cells of the human prenatal brain mediating genetic risk for schizophrenia by integrating cell-specific gene expression measures generated through single-nuclei RNA sequencing with recent large-scale genome-wide association study (GWAS) and exome sequencing data for the condition.

methodsSingle-nuclei RNA sequencing was performed on 5 brain regions (frontal cortex, ganglionic eminence, hippocampus, thalamus, and cerebellum) from 3 fetuses from the second trimester of gestation. Enrichment of schizophrenia common variant genetic liability and rare damaging coding variation was assessed in relation to gene expression specificity within each identified cell population.

resultsCommon risk variants were prominently enriched within genes with high expression specificity for developing neuron populations within the frontal cortex, ganglionic eminence, and hippocampus. Enrichments were largely independent of genes expressed in neuronal populations of the adult brain that have been implicated in schizophrenia through the same methods. Genes containing an excess of rare damaging variants in schizophrenia had higher expression specificity for developing glutamatergic neurons of the frontal cortex and hippocampus that were also enriched for common variant liability.

conclusionsWe found evidence for a distinct contribution of prenatal neuronal development to genetic risk for schizophrenia, involving specific populations of developing neurons within the second-trimester fetal brain. Our study significantly advances the understanding of the neurodevelopmental origins of schizophrenia and provides a resource with which to investigate the prenatal antecedents of other psychiatric and neurologic disorders.

Indexed as

SchizophreniaAdultBrainExome SequencingFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansNeuronsPregnancySequence Analysis, RNAGene expressionGeneticGenome-wide association study (GWAS)NeurodevelopmentSchizophreniaSingle-nuclei RNA sequencing

Identifiers

PMID36150908
PMCPMC10804933
OpenAlexW4285499757

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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.