ArticleNucleic acids research2011
Genome-wide quantitative assessment of variation in DNA methylation patterns.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 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
72 citing papers in PubMed, 124 citations in OpenAlex.
- Decoding coupled epigenetic-fragmentomic signals in circulating cell-free DNA for interpretable cancer diagnosis.Genome medicine · 2026Article
- Pattools‑implemented methylation vector analysis reveals aberrant subtype‑specific methylation in lung cancer across tissue and plasma cfDNA.Clinical and translational medicine · 2026Article
- Multiomic characterization of DNA released after airway exposure to allergens and nanoparticles reveals selective export of repetitive and fragile site DNA.Physiological genomics · 2026Article
- A systematic benchmarking framework and dual-view optimization strategy for single-cell DNA methylation imputation.Briefings in bioinformatics · 2026Article
- DNA Methylation Stochasticity Is Linked to Transcriptional Variability and Convergent Epigenetic Disruption across Genetic Subtypes of Acute Myeloid Leukemia.Cancer research · 2026Article
- DNA methylation patterns re-establish during clonal expansion restoring cell-to-cell epialleles heterogeneity.Biology direct · 2026Article
- DNA methylation heterogeneity in complex tumor microenvironment: Quantitative methods, influencing factors, and clinical implications.Genes & diseases · 2026Review
- Methylation entropy as a novel dimension in liquid biopsy: enhanced multimodal framework for cancer detection and tissue-of-origin classification.Journal of translational medicine · 2026Article
- MPCI: A novel metric for quantifying DNA methylation patterns in NGS data.PLoS computational biology · 2026Article
- Retroelement expansions underlie genome evolution in stingless bees.BMC genomics · 2026Article
- Local Promoter Methylation Disorder algorithm reveals bidirectional epigenetic disruption in DNMT3A-mutated AML and predicts azacitidine treatment response.Frontiers in oncology · 2026Article
- PoreMeth2 for decoding the evolution of methylome alterations with nanopore sequencing.Genome research · 2025Article
- Aging by the clock and yet without a program.Nature aging · 2025Review
- Computational analysis of DNA methylation from long-read sequencing.Nature reviews. Genetics · 2025Review
- DNA Methylation Epitypes of Burkitt Lymphoma with Distinct Molecular and Clinical Features.Blood cancer discovery · 2025Article
- A Novel Framework for the Design of Minimized Epigenetic Clocks Using the Analysis of DNA Methylation Heterogeneity.International journal of molecular sciences · 2025Article
- High-resolution, noninvasive single-cell lineage tracing in mice and humans based on DNA methylation epimutations.Nature methods · 2025Article
- DNA methylation in mammalian development and disease.Nature reviews. Genetics · 2025Review
- Low-pass nanopore sequencing for measurement of global methylation levels in plants.BMC genomics · 2024Article
- EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data.Genome biology · 2024Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
Genomic DNA methylation contributes substantively to transcriptional regulations that underlie mammalian development and cellular differentiation. Much effort has been made to decipher the molecular mechanisms governing the establishment and maintenance of DNA methylation patterns. However, little is known about genome-wide variation of DNA methylation patterns. In this study, we introduced the concept of methylation entropy, a measure of the randomness of DNA methylation patterns in a cell population, and exploited it to assess the variability in DNA methylation patterns of Alu repeats and promoters. A few interesting observations were made: (i) within a cell population, methylation entropy varies among genomic loci; (ii) among cell populations, the methylation entropies of most genomic loci remain constant; (iii) compared to normal tissue controls, some tumors exhibit greater methylation entropies; (iv) Alu elements with high methylation entropy are associated with high GC content but depletion of CpG dinucleotides and (v) Alu elements in the intronic regions or far from CpG islands are associated with low methylation entropy. We further identified 12 putative allelic-specific methylated genomic loci, including four Alu elements and eight promoters. Lastly, using subcloned normal fibroblast cells, we demonstrated the highly variable methylation patterns are resulted from low fidelity of DNA methylation inheritance.
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.