ArticleGenome research2008
Comprehensive high-throughput arrays for relative methylation (CHARM).
Article in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 252 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
252 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Disease classification for whole-blood DNA methylation: Meta-analysis, missing values imputation, and XAI.GigaScience · 2022Pooled it
- The applications of DNA methylation as a biomarker in kidney transplantation: a systematic review.Clinical epigenetics · 2022Pooled it
- Epigenome-wide meta-analysis of DNA methylation differences in prefrontal cortex implicates the immune processes in Alzheimer's disease.Nature communications · 2020Pooled it
- Epigenetic blind spots - the role of DNA methylation dynamics in stem cell-based models of embryogenesis.FEBS letters · 2026Article
- CRISPR-Cas9-induced double-strand breaks disrupt maintenance of epigenetic information.Genome biology · 2025Article
- DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics.Clinical epigenetics · 2025Review
- Nonparametric Bayes Differential Analysis of Multigroup DNA Methylation Data.Bayesian analysis · 2025Article
- De novo non-canonical nanopore basecalling enables private communication using heavily-modified DNA data at single-molecule level.Nature communications · 2025Article
- Evolution of genome-wide methylation profiling technologies.Genome research · 2025Review
- Mitochondrial DNA and the largest nuclear-mitochondrial DNA in Arabidopsis can be separated by their methylation levels.Plant physiology · 2025Article
- Critical evaluation of the reliability of DNA methylation probes on the Illumina MethylationEPIC v1.0 BeadChip microarrays.Epigenetics · 2024Article
- Implementation of the Methyl-Seq platform to identify tissue- and sex-specific DNA methylation differences in the rat epigenome.Epigenetics · 2024Article
- Tissue of origin detection for cancer tumor using low-depth cfDNA samples through combination of tumor-specific methylation atlas and genome-wide methylation density in graph convolutional neural networks.Journal of translational medicine · 2024Article
- Promoter DNA methylation patterns in oral, laryngeal and oropharyngeal anatomical regions are associated with tumor differentiation, nodal involvement and survival.Oncology letters · 2024Article
- Hypermethylated ITGA8 Facilitate Bladder Cancer Cell Proliferation and Metastasis.Applied biochemistry and biotechnology · 2024Article
- Epigenetic associations ofFrontiers in psychiatry · 2024Article
- EpiTyping: analysis of epigenetic aberrations in parental imprinting and X-chromosome inactivation using RNA-seq.Nature protocols · 2023Review
- Multi-ancestry epigenome-wide analyses identify methylated sites associated with aortic augmentation index in TOPMed MESA.Scientific reports · 2023Article
- Critical evaluation of the reliability of DNA methylation probes on the Illumina MethylationEPIC BeadChip microarrays.Research square · 2023Article
- Parallel shift of DNA methylation and gene expression toward the mean in mouse spleen with aging.Aging · 2023Article
192 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
This study was originally conceived to test in a rigorous way the specificity of three major approaches to high-throughput array-based DNA methylation analysis: (1) MeDIP, or methylated DNA immunoprecipitation, an example of antibody-mediated methyl-specific fractionation; (2) HELP, or HpaII tiny fragment enrichment by ligation-mediated PCR, an example of differential amplification of methylated DNA; and (3) fractionation by McrBC, an enzyme that cuts most methylated DNA. These results were validated using 1466 Illumina methylation probes on the GoldenGate methylation assay and further resolved discrepancies among the methods through quantitative methylation pyrosequencing analysis. While all three methods provide useful information, there were significant limitations to each, specifically bias toward CpG islands in MeDIP, relatively incomplete coverage in HELP, and location imprecision in McrBC. However, we found that with an original array design strategy using tiling arrays and statistical procedures that average information from neighboring genomic locations, much improved specificity and sensitivity could be achieved, e.g., approximately 100% sensitivity at 90% specificity with McrBC. We term this approach "comprehensive high-throughput arrays for relative methylation" (CHARM). While this approach was applied to McrBC analysis, the array design and computational algorithms are fractionation method-independent and make this a simple, general, relatively inexpensive tool suitable for genome-wide analysis, and in which individual samples can be assayed reliably at very high density, allowing locus-level genome-wide epigenetic discrimination of individuals, not just groups of samples. Furthermore, unlike the other approaches, CHARM is highly quantitative, a substantial advantage in application to the study of human disease.
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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.