ArticleFrontiers in molecular neuroscience2018
Analysis of Gene Expression Variance in Schizophrenia Using Structural Equation Modeling.
Article in Frontiers in molecular neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 29 citations in OpenAlex.
- An increase in plasma brain derived neurotrophic factor levels is related to n-3 polyunsaturated fatty acid efficacy in first episode schizophrenia: secondary outcome analysis of the OFFER randomized clinical trial.Psychopharmacology · 2019Trial
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- ShinyDegSEM: an interactive application for pathway perturbation analysis in gene expression studiesPeerJ · 2025Article
- StellarPath: Hierarchical-vertical multi-omics classifier synergizes stable markers and interpretable similarity networks for patient profiling.PLoS computational biology · 2024Article
- Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024Review
- A differential diagnosis between uterine leiomyoma and leiomyosarcoma using transcriptome analysis.BMC cancer · 2023Article
- Use of random integration to test equality of high dimensional covariance matrices.Statistica Sinica · 2023Article
- Shifts in isoform usage underlie transcriptional differences in regulatory T cells in type 1 diabetes.Communications biology · 2023Article
- Subtyping Schizophrenia Patients Based on Patterns of Structural Brain Alterations.Schizophrenia bulletin · 2022Article
- Exploration of the relationship between hippocampus and immune system in schizophrenia based on immune infiltration analysis.Frontiers in immunology · 2022Article
- Understanding the metabolome and metagenome as extended phenotypes: The next frontier in macroalgae domestication and improvement.Journal of the World Aquaculture Society · 2021Article
- Randomness and nondeterminism: from genes to free will with implications for psychiatry.Journal of psychiatry & neuroscience : JPN · 2021Article
- TBL1XR1 Ensures Balanced Neural Development Through NCOR Complex-Mediated Regulation of the MAPK Pathway.Frontiers in cell and developmental biology · 2021Article
- Gene Expression in Patient-Derived Neural Progenitors Implicates WNT5A Signaling in the Etiology of Schizophrenia.Biological psychiatry · 2020Article
- Multi-trait multi-locus SEM model discriminates SNPs of different effects.BMC genomics · 2020Article
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
Schizophrenia (SCZ) is a psychiatric disorder of unknown etiology. There is evidence suggesting that aberrations in neurodevelopment are a significant attribute of schizophrenia pathogenesis and progression. To identify biologically relevant molecular abnormalities affecting neurodevelopment in SCZ we used cultured neural progenitor cells derived from olfactory neuroepithelium (CNON cells). Here, we tested the hypothesis that variance in gene expression differs between individuals from SCZ and control groups. In CNON cells, variance in gene expression was significantly higher in SCZ samples in comparison with control samples. Variance in gene expression was enriched in five molecular pathways: serine biosynthesis, PI3K-Akt, MAPK, neurotrophin and focal adhesion. More than 14% of variance in disease status was explained within the logistic regression model (C-value = 0.70) by predictors accounting for gene expression in 69 genes from these five pathways. Structural equation modeling (SEM) was applied to explore how the structure of these five pathways was altered between SCZ patients and controls. Four out of five pathways showed differences in the estimated relationships among genes: between KRAS and NF1, and KRAS and SOS1 in the MAPK pathway; between PSPH and SHMT2 in serine biosynthesis; between AKT3 and TSC2 in the PI3K-Akt signaling pathway; and between CRK and RAPGEF1 in the focal adhesion pathway. Our analysis provides evidence that variance in gene expression is an important characteristic of SCZ, and SEM is a promising method for uncovering altered relationships between specific genes thus suggesting affected gene regulation associated with the disease. We identified altered gene-gene interactions in pathways enriched for genes with increased variance in expression in SCZ. These pathways and loci were previously implicated in SCZ, providing further support for the hypothesis that gene expression variance plays important role in the etiology of SCZ.
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