ReviewNature methods2013
Recommendations for the design and analysis of epigenome-wide association studies.
Review in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 222 papers, 14 of them syntheses that pooled it.
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
222 citing papers in PubMed, 14 syntheses or guidelines pooled it, 402 citations in OpenAlex.
- Pooled it
- Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use.Molecular psychiatry · 2024Pooled it
- A systematic review of neuroimaging epigenetic research: calling for an increased focus on development.Molecular psychiatry · 2023Pooled it
- DNA methylation analysis is used to identify novel genetic loci associated with circulating fibrinogen levels in blood.Journal of thrombosis and haemostasis : JTH · 2023Pooled it
- Brain-derived neurotrophic factor (BDNF) epigenomic modifications and brain-related phenotypes in humans: A systematic review.Neuroscience and biobehavioral reviews · 2023Pooled it
- A multi-ethnic epigenome-wide association study of leukocyte DNA methylation and blood lipids.Nature communications · 2021Pooled it
- Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders.Genome biology · 2021Pooled it
- Systematic review supports the role of DNA methylation in the pathophysiology of preeclampsia: a call for analytical and methodological standardization.Biology of sex differences · 2020Pooled it
- Prognostic DNA methylation markers for hormone receptor breast cancer: a systematic review.Breast cancer research : BCR · 2020Pooled it
- The Role of DNA Methylation in Ischemic Stroke: A Systematic Review.Frontiers in neurology · 2020Pooled it
- DNA methylation studies of depression with onset in the peripartum: A critical systematic review.Neuroscience and biobehavioral reviews · 2019Pooled it
- Pooled it
- Blood DNA methylation as a potential biomarker of dementia: A systematic review.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2018Pooled it
- An empirically driven data reduction method on the human 450K methylation array to remove tissue specific non-variable CpGs.Clinical epigenetics · 2017Pooled it
- Epigenetic impact of a 1-week intensive multimodal group program for adolescents with multiple adverse childhood experiences.Scientific reports · 2022Trial
- Maternal fatty acid concentrations and newborn DNA methylation.The American journal of clinical nutrition · 2020Trial
- Multi-omics characterization of chronic social defeat stress recall-activated nuclei in Arc-GFP mice.Molecular psychiatry · 2026Article
- A Critical Review of Longitudinal DNA Methylomic Changes Associated with Treatment Response in Major Depressive Disorder.International journal of molecular sciences · 2026Review
- Inflammatory and Epigenetic Biomarkers in Prostate Disease: Current Evidence, Clinical Limitations, and Future Multimarker Strategies.Diagnostics (Basel, Switzerland) · 2026Review
- Diagnostic potential of circular RNAs in carotid atherosclerotic plaque vulnerability.Non-coding RNA research · 2026Article
162 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
14 authors at 13 institutions in 5 countries.
Funding
Abstract
Epigenome-wide association studies (EWAS) hold promise for the detection of new regulatory mechanisms that may be susceptible to modification by environmental and lifestyle factors affecting susceptibility to disease. Epigenome-wide screening methods cover an increasing number of CpG sites, but the complexity of the data poses a challenge to separating robust signals from noise. Appropriate study design, a detailed a priori analysis plan and validation of results are essential to minimize the danger of false positive results and contribute to a unified approach. Epigenome-wide mapping studies in homogenous cell populations will inform our understanding of normal variation in the methylome that is not associated with disease or aging. Here we review concepts for conducting a stringent and powerful EWAS, including the choice of analyzed tissue, sources of variability and systematic biases, outline analytical solutions to EWAS-specific problems and highlight caveats in interpretation of data generated from samples with cellular heterogeneity.
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.