ArticleNature communications2025
Atlas of imprinted and allele-specific DNA methylation in the human body.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
10 citing papers in PubMed.
- Monoallelic Gene Expression: Stochastic or Clonal? From Detection to Mechanisms and Clinical Significance.International journal of molecular sciences · 2026Review
- The genetic basis for DNA methylation variation across tissues and development.Nature communications · 2026Article
- Article
- Non-disruptive in vitro monitoring of cellular states with cell-free DNA methylation.Genome biology · 2026Article
- CMC-WDTK: CpG methylation change prediction by a weight-sharing dual-branch Transformer-Kolmogorov-Arnold network model.BMC genomics · 2026Article
- Emerging opportunities for DNA methylation biomarkers in cattle improvement.The Journal of reproduction and development · 2026Review
- Intermediately Methylated Regions in Normal Cells Are Epimutation Hotspots in Cancer.bioRxiv : the preprint server for biology · 2025Article
- Computational analysis of DNA methylation from long-read sequencing.Nature reviews. Genetics · 2025Review
- CanASM: a comprehensive database for genome-wide allele-specific DNA methylation identification and annotation in cancer.BMC genomics · 2025Article
- Comprehensive pan-cancer analysis reveals CGB5 is a potential promising predictive and immunotherapeutic biomarker.Frontiers in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Allele-specific DNA methylation reflects genetic variation and parentally-inherited changes, and is involved in gene regulation and pathologies. Yet, our knowledge of this phenomenon is largely limited to blood. Here we present a comprehensive atlas of allele-specific DNA methylation using deep whole-genome sequencing across 39 normal human cell types. We identified 325k regions, covering 6% of the genome and 11% of CpGs, that show a bimodal distribution of methylated and unmethylated molecules. In 34k of these regions, genetic variations at individual alleles segregate with methylation patterns, validating allele-specific methylation. We also identified 460 regions showing parental allele-specific methylation, the majority of which are novel, as well as 78 regions associated with known imprinted genes. Surprisingly, sequence-dependent and parental allele-dependent methylation is often restricted to specific cell types, revealing unappreciated variation of allele-specific methylation across the human body. Finally, we validate tissue-specific, maternal allele-specific methylation of CHD7, offering a potential mechanism for the paternal bias in the inheritance mode of CHARGE syndrome associated with this gene. The atlas provides a resource for studying allele-specific methylation and regulatory mechanisms underlying imprinted expression in specific human cell types.
Indexed as
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.