ArticleJournal of molecular neuroscience : MN2020
Integrative In Silico Analysis of Genome-Wide DNA Methylation Profiles in Schizophrenia.
Article in Journal of molecular neuroscience : MN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Pooled it
- LINC01094 exacerbates acute cerebral infarction by regulating miR-499a-5p.Metabolic brain disease · 2026Article
- Roles of NRXN1 in neuropsychiatric disorders: from genetic lesion to molecular mechanism.Frontiers in neuroscience · 2026Review
- Unconventional Non-rodent Models in Neurological Research: Exploring New Paths to Translational Insights.Journal of molecular neuroscience : MN · 2025Review
- Epigenetics factors in schizophrenia: future directions for etiologic and therapeutic study approaches.Annals of general psychiatry · 2025Review
- Transcriptome and DNA methylation analysis of the goat pineal gland during puberty.Scientific reports · 2025Article
- Impacts of Polyenvironmental Factors on DNA Methylation in Patients With Psychosis.Schizophrenia bulletin open · 2025Article
- Genome-wide DNA methylation analysis in schizophrenia with tardive dyskinesia: a preliminary study.Genes & genomics · 2023Article
- Schizophrenia as metabolic disease. What are the causes?Metabolic brain disease · 2023Review
- Article
- Research Progress on the Correlation Between Epigenetics and Schizophrenia.Frontiers in neuroscience · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Schizophrenia (SZ) is a complex and severe psychiatric disorder, which has a global lifetime prevalence of 0.4% and a heritability of around 0.81. A number of epigenome-wide association studies (EWAS) have been carried out for SZ, with discordant results. The main aim of this study was to carry out an integrative in silico analysis of available genome-wide DNA methylation profiles in schizophrenia. In this work, an integration of multiple lines of evidence (top candidate genes from several EWAS and genome-wide expression and association data) was carried out, in order to identify top differentially methylated (DM) genes for SZ. In addition, functional enrichment and protein-protein interaction analyses were carried out. Several top differentially methylated genes, such as APC, CACNB2, and PRKN, were found, and an enrichment of binding sites for brain-expressed transcription factors, such as FOXO1, MYB, and ZIC3, was also observed. Moreover, a protein-protein interaction network showed a central role for DISC1 and ZNF688 genes, and experimentally validated targets of MIR-137, such as and KCNB2, NRXN1, and SYN2, were identified among DM genes. This is the first integrative in silico analysis of available genome-wide DNA methylation profiles in schizophrenia. This work identified novel candidate genes and pathways for SZ and provides the basis to explore their role in the pathogenesis of SZ in future studies.
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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.