ReviewBritish journal of cancer2013
Review of processing and analysis methods for DNA methylation array data.
Review in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 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
116 citing papers in PubMed, 217 citations in OpenAlex.
- Methylation-derived Neutrophil-to-Lymphocyte Ratio and Lung Cancer Risk in Heavy Smokers.Cancer prevention research (Philadelphia, Pa.) · 2018Trial
- Multi-omics Data Integration.Advances in experimental medicine and biology · 2026Review
- Methods for analysing wildlife DNA methylation data.Conservation physiology · 2026Article
- Global DNA methylation signatures associated with chemoresistance and poor prognosis of high grade serous ovarian cancer.Scientific reports · 2025Article
- DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics.Clinical epigenetics · 2025Review
- Placental DNA methylation key topics: sex- and cell-type specificity, mediation, multi-omics, and biomarker discovery.Epigenomics · 2025Review
- High performance data integration for large-scale analyses of incomplete Omic profiles using Batch-Effect Reduction Trees (BERT).Nature communications · 2025Article
- The Open Pediatric Cancer Project.bioRxiv : the preprint server for biology · 2025Article
- Peripheral DNA Methylation of Cortisol- and Serotonin-Related Genes Predicts Hippocampal Volume in a Pediatric Population.Biological psychiatry global open science · 2025Article
- HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservation.BMC bioinformatics · 2025Article
- The Open Pediatric Cancer Project.GigaScience · 2025Article
- Prenatal opioid exposure alters pain perception and increases long-term health risks in infants with neonatal opioid withdrawal syndrome.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024Review
- Associations of epigenetic age acceleration at birth and age 12 years with adolescent cardiometabolic risk: the HOME study.Clinical epigenetics · 2024Article
- Technical considerations for placental tissue processing and the subsequent impact on genome-wide DNA methylation analysis.Clinical epigenetics · 2024Article
- An epigenetic candidate-gene association study of parental styles in suicide attempters with substance use disorders.Addiction biology · 2024Article
- Discovery of novel DNA methylation biomarker panels for the diagnosis and differentiation between common adenocarcinomas and their liver metastases.Scientific reports · 2024Article
- Prenatal opioid exposure significantly impacts placental protein kinase C (PKC) and drug transporters, leading to drug resistance and neonatal opioid withdrawal syndrome.Frontiers in neuroscience · 2024Article
- Article
- Gestational exposure to environmental chemicals and epigenetic alterations in the placenta and cord blood mononuclear cells.Epigenetics communications · 2024Article
56 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
9 authors at 5 institutions in 2 countries.
Funding
Abstract
The promise of epigenome-wide association studies and cancer-specific somatic DNA methylation changes in improving our understanding of cancer, coupled with the decreasing cost and increasing coverage of DNA methylation microarrays, has brought about a surge in the use of these technologies. Here, we aim to provide both a review of issues encountered in the processing and analysis of array-based DNA methylation data and a summary of the advantages of recent approaches proposed for handling those issues, focusing on approaches publicly available in open-source environments such as R and Bioconductor. We hope that the processing tools and analysis flowchart described herein will facilitate researchers to effectively use these powerful DNA methylation array-based platforms, thereby advancing our understanding of human health and disease.
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.