ArticleNucleic acids research2012
DiseaseMeth: a human disease methylation database.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.
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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.
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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
56 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-Analysis for Epigenome-Wide Association Studies.Methods in molecular biology (Clifton, N.J.) · 2022Pooled it
- Computational resources associating diseases with genotypes, phenotypes and exposures.Briefings in bioinformatics · 2019Pooled it
- Expression quantitative trait methylation across multiple cancer types with functional and therapeutic characterization using Onco-eQTM.NAR genomics and bioinformatics · 2026Article
- DiffMethylTools: a toolbox for the detection, annotation, and visualization of differential methylation.Life science alliance · 2026Article
- Comprehensive review of publicly accessible databases for gastrointestinal cancer and future challenges in database construction.Discover oncology · 2026Review
- Enhancing Molecular Network-Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities.Journal of cellular and molecular medicine · 2025Review
- The Oncogenic Role of Cyclin-Dependent Kinase Inhibitor 2C in Lower-Grade Glioma.Journal of molecular neuroscience : MN · 2023Article
- Expression profile and prognostic values of Chromobox family members in human glioblastoma.Aging · 2022Article
- DiseaseMeth version 3.0: a major expansion and update of the human disease methylation database.Nucleic acids research · 2022Article
- Diverse Chromobox Family Members: Potential Prognostic Biomarkers and Therapeutic Targets in Head and Neck Squamous Cell Carcinoma.International journal of general medicine · 2022Article
- Prognostic Value and Therapeutic Potential of CBX Family Members in Ovarian Cancer.Frontiers in cell and developmental biology · 2022Article
- Article
- Epigenetic dysregulation of immune-related pathways in cancer: bioinformatics tools and visualization.Experimental & molecular medicine · 2021Review
- MethHC 2.0: information repository of DNA methylation and gene expression in human cancer.Nucleic acids research · 2021Article
- ALKBH1-8 and FTO: Potential Therapeutic Targets and Prognostic Biomarkers in Lung Adenocarcinoma Pathogenesis.Frontiers in cell and developmental biology · 2021Article
- SNX20AR/MiRNA-301a-3p/SNX20 Axis Associated With Cell Proliferation and Immune Infiltration in Lung Adenocarcinoma.Frontiers in molecular biosciences · 2021Article
- Integrated Analysis of Nine Prognostic RNA-Binding Proteins in Soft Tissue Sarcoma.Frontiers in oncology · 2021Article
- Identification of hub genes in papillary thyroid carcinoma: robust rank aggregation and weighted gene co-expression network analysis.Journal of translational medicine · 2020Article
- Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma.Frontiers in oncology · 2020Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation is an important epigenetic modification for genomic regulation in higher organisms that plays a crucial role in the initiation and progression of diseases. The integration and mining of DNA methylation data by methylation-specific PCR and genome-wide profiling technology could greatly assist the discovery of novel candidate disease biomarkers. However, this is difficult without a comprehensive DNA methylation repository of human diseases. Therefore, we have developed DiseaseMeth, a human disease methylation database (http://bioinfo.hrbmu.edu.cn/diseasemeth). Its focus is the efficient storage and statistical analysis of DNA methylation data sets from various diseases. Experimental information from over 14,000 entries and 175 high-throughput data sets from a wide number of sources have been collected and incorporated into DiseaseMeth. The latest release incorporates the gene-centric methylation data of 72 human diseases from a variety of technologies and platforms. To facilitate data extraction, DiseaseMeth supports multiple search options such as gene ID and disease name. DiseaseMeth provides integrated gene methylation data based on cross-data set analysis for disease and normal samples. These can be used for in-depth identification of differentially methylated genes and the investigation of gene-disease relationship.
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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.