ArticleNPJ schizophrenia2020
Overdispersed gene expression in schizophrenia.
Article in NPJ schizophrenia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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.
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Who cites it
18 citing papers in PubMed, 29 citations in OpenAlex.
- Host Prior Exposure Augments Gene Expression Heterogeneity of Both Host and Pathogen During In Vivo Infection.Molecular ecology · 2026Article
- Analysis of Transcript Expression and Core Promoter DNA Sequences of Brain, Adipose Tissues and Testis in Human and Fruit Fly.International journal of molecular sciences · 2025Article
- Host prior exposure augments heterogeneity in gene expression in both host and pathogen duringbioRxiv : the preprint server for biology · 2025Article
- lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression.BMC genomics · 2025Article
- Blood-Brain Barrier Disruption in Schizophrenia: Insights, Mechanisms, and Future Directions.International journal of molecular sciences · 2025Review
- Article
- A network-based method for associating genes with autism spectrum disorder.Frontiers in bioinformatics · 2024Article
- Allele biased transcription factor binding across human brain regions gives mechanistic insight into eQTLs.bioRxiv : the preprint server for biology · 2023Article
- Dysregulation of Long Intergenic Non-Coding RNA Expression in the Schizophrenia Brain.Consortium psychiatricum · 2023Article
- Vascular-related biomarkers in psychosis: a systematic review and meta-analysis.Frontiers in psychiatry · 2023Review
- Single-nucleus RNA sequencing of midbrain blood-brain barrier cells in schizophrenia reveals subtle transcriptional changes with overall preservation of cellular proportions and phenotypes.Molecular psychiatry · 2022Article
- Schizophrenia-derived hiPSC brain microvascular endothelial-like cells show impairments in angiogenesis and blood-brain barrier function.Molecular psychiatry · 2022Article
- Evaluation of mRNA expression level of the ATP synthase membrane subunit c locus 1 (Biochemistry and biophysics reports · 2022Article
- Article
- It takes two to tango: Widening our understanding of the onset of schizophrenia from a neuro-angiogenic perspective.Frontiers in cell and developmental biology · 2022Review
- Molecular mechanisms of synaptogenesis.Frontiers in synaptic neuroscience · 2022Review
- Impact of SARS-CoV-2 on Host Factors Involved in Mental Disorders.Frontiers in microbiology · 2022Review
- Structural and Functional Features of Developing Brain Capillaries, and Their Alteration in Schizophrenia.Frontiers in cellular neuroscience · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Schizophrenia (SCZ) is a severe, highly heterogeneous psychiatric disorder with varied clinical presentations. The polygenic genetic architecture of SCZ makes identification of causal variants a daunting task. Gene expression analyses hold the promise of revealing connections between dysregulated transcription and underlying variants in SCZ. However, the most commonly used differential expression analysis often assumes grouped samples are from homogeneous populations and thus cannot be used to detect expression variance differences between samples. Here, we applied the test for equality of variances to normalized expression data, generated by the CommonMind Consortium (CMC), from brains of 212 SCZ and 214 unaffected control (CTL) samples. We identified 87 genes, including VEGFA (vascular endothelial growth factor) and BDNF (brain-derived neurotrophic factor), that showed a significantly higher expression variance among SCZ samples than CTL samples. In contrast, only one gene showed the opposite pattern. To extend our analysis to gene sets, we proposed a Mahalanobis distance-based test for multivariate homogeneity of group dispersions, with which we identified 110 gene sets with a significantly higher expression variability in SCZ, including sets of genes encoding phosphatidylinositol 3-kinase (PI3K) complex and several others involved in cerebellar cortex morphogenesis, neuromuscular junction development, and cerebellar Purkinje cell layer development. Taken together, our results suggest that SCZ brains are characterized by overdispersed gene expression-overall gene expression variability among SCZ samples is significantly higher than that among CTL samples. Our study showcases the application of variability-centric analyses in SCZ research.
Identifiers
What OpenQuestion holds
Registered trials
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.