ArticleScientific reports2018
Quantitative DNA Methylation Analysis of DLGAP2 Gene using Pyrosequencing in Schizophrenia with Tardive Dyskinesia: A Linear Mixed Model Approach.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Epigenetic mechanisms in schizophrenia and other psychotic disorders: a systematic review of empirical human findings.Molecular psychiatry · 2020Pooled it
- Genome-wide DNA methylation analysis in schizophrenia with tardive dyskinesia: a preliminary study.Genes & genomics · 2023Article
- Altered DNA methylation of CYP2E1 gene in schizophrenia patients with tardive dyskinesia.BMC medical genomics · 2022Article
- Review
- Methylome-wide Association Study of Patients with Recent-onset Psychosis.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022Article
- Methylome-wide association study of different responses to risperidone in schizophrenia.Frontiers in pharmacology · 2022Article
- Cataloging recent advances in epigenetic alterations in major mental disorders and autism.Epigenomics · 2021Article
- 8p23.2-pter Microdeletions: Seven New Cases Narrowing the Candidate Region and Review of the Literature.Genes · 2021Article
- Pyrosequencing analysis of IRS1 methylation levels in schizophrenia with tardive dyskinesia.Molecular medicine reports · 2020Article
- A Novel Schizophrenia Diagnostic Model Based on Statistically Significant Changes in Gene Methylation in Specific Brain Regions.BioMed research international · 2020Article
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
Tardive dyskinesia (TD) is a side effect of antipsychotic medications used to treat schizophrenia (SCZ) and other mental health disorders. No study has previously used pyrosequencing to quantify DNA methylation levels of the DLGAP2 gene; while the quantitative methylation levels among CpG sites within a gene may be correlated. To deal with the correlated measures among three CpG sites within the DLGAP2 gene, this study analyzed DNA methylation levels of the DLGAP2 gene using a linear mixed model (LMM) in a Chinese sample consisting of 35 SCZ patients with TD, 35 SCZ without TD (NTD) and 34 healthy controls (HCs) collected in Beijing, China. The initial analysis using the non-parametric Kruskal-Wallis test revealed that three groups (TD, NTD and HC) had significant differences in DNA methylation level for CpG site 2 (p = 0.0119). Furthermore, the average methylation levels among the three CpG sites showed strong correlations (all p values < 0.0001). In addition, using the LMM, three groups had significant differences in methylation level (p = 0.0027); while TD, NTD and TD + NTD groups showed higher average methylation levels than the HC group (p = 0.0024, 0.0151, and 0.0007, respectively). In conclusion, the LMM can accommodate a covariance structure. The findings of this study provide first evidence of DNA methylation levels in DLGAP2 associated with SCZ with TD in Chinese population. However, TD just showed borderline significant differences to NTD in this study.
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