ArticleEpigenetics2022
Spatiotemporal specificity of correlated DNA methylation and gene expression pairs across different human tissues and stages of brain development.
Article in Epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- DNMT3A in cancer: from epigenetic writer to oncogenic driver.Clinical epigenetics · 2026Review
- Prenatal Alcohol Exposure and Mental Health Outcomes: A Two-Sample Mendelian Randomization Study of DNA Methylation Signatures.medRxiv : the preprint server for health sciences · 2026Article
- Oncogenic lncRNA transgene transcription modulates epigenetic memory at a naïve chromosomal locus.Nucleus (Austin, Tex.) · 2025Article
- Epigenome-wide association study of incident type 2 diabetes in Black and White participants from the Atherosclerosis Risk in Communities Study.Diabetologia · 2025Article
- Direction-aware functional class scoring enrichment analysis of infinium DNA methylation data.Epigenetics · 2024Article
- A higher dysregulation burden of brain DNA methylation in female patients implicated in the sex bias of Schizophrenia.Molecular psychiatry · 2023Article
- Article
- A Higher Dysregulation Burden of Brain DNA Methylation in Female Patients Implicated in the Sex Bias of Schizophrenia.Research square · 2023Article
- Evaluating the challenges and reproducibility of studies investigating DNA methylation signatures of psychological stress.Epigenomics · 2022Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
DNA methylation (DNAm) that occurs on promoter regions is primarily considered to repress gene expression. Previous studies indicated that DNAm could also show positive correlations with gene expression. Both DNAm and gene expression profiles are known to be tissue- and development-specific. This study aims to investigate how DNAm and gene expression are coordinated across different human tissues and developmental stages, as well as the biological significance of such correlations. By analyzing 2,239 samples with both DNAm and gene expression data in the same human subjects obtained from six published datasets, we evaluated the correlations between gene and CpG pairs (GCPs) at cis-regions and compared significantly correlated GCPs (cGCPs) across different tissues and brains at different age groups. A total of 37,363 cGCPs was identified in the six datasets; approximately 38% of the cGCPs were positively correlated. The majority (>90%) of cGCPs was tissue- or development-specific. We also observed that the correlation direction can be opposite in different tissues and ages. Further analysis highlights the importance of cGCPs for their cellular functions and potential roles in complex traits and human diseases. For instance, the early developmental brain possessed a highly unique set of cGCPs that were associated with neurogenesis and psychiatric disorders. By assessing the epigenetic factors involved in cGCPs, we discovered novel regulatory mechanisms of positive cGCPs distinct from negative cGCPs, which were related to multiple factors, such as H3K27me3, CTCF, and JARD2. The catalogue of cGCPs compiled can be used to guide functional interpretation of genetic and epigenetic studies.
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