ArticleBMC bioinformatics2019
pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS).
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis 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
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prenatal medication exposure and epigenetic outcomes: a systematic literature review and recommendations for prenatal pharmacoepigenetic studies.Epigenetics · 2022Pooled it
- DNA methylation signatures of inflammation in youth living with perinatally-acquired HIV.Clinical epigenetics · 2026Article
- Novel epigenetic loci identified from an epigenome-wide association study underlying brain structural changes in bipolar disorder.Psychological medicine · 2026Article
- Novel epigenetic marks of insulin resistance trajectories in a longitudinal study of childhood obesity.Cardiovascular diabetology · 2026Article
- Blood and adipose tissue DNA methylation in adults born preterm with a very low birth weight - a sibling comparison study.Epigenomics · 2026Article
- Epigenome-wide association study of perceived discrimination in the Multi-Ethnic Study of Atherosclerosis (MESA).Epigenetics · 2025Article
- Do Glioma Cells Rewire Neural Circuits through Epigenetic Changes? DNA Methylation Analysis of Genes Involved in Neuron-Glioma Communication in the Human Frontal Cortex.Journal of molecular neuroscience : MN · 2025Article
- Genome-wide association and DNA methylation analyses of SSRI treatment response in major depressive disorder.BMC psychiatry · 2025Article
- Biological sex impacts immune cell proportions and epigenetic profiles in the developing pediatric immune system.Communications biology · 2025Article
- Association of placental weight and placental-fetal weight ratio with DNA methylation in placenta.Epigenomics · 2025Article
- Reframing Formalin: A Molecular Opportunity Enabling Historical Epigenomics and Retrospective Gene Expression Studies.Molecular ecology resources · 2025Review
- EpipwR: efficient power analysis for EWAS with continuous outcomes.Bioinformatics advances · 2025Article
- Nutriomics and artificial intelligence nutrition obesity cohort (NAINOC): a design paper for a prospective cohort for nutrition and obesity research.Clinical hypertension · 2025Article
- Critical evaluation of the reliability of DNA methylation probes on the Illumina MethylationEPIC v1.0 BeadChip microarrays.Epigenetics · 2024Article
- MethylCallR : a comprehensive analysis framework for Illumina Methylation Beadchip.Scientific reports · 2024Article
- Microbiome signature suggestive of lactose-intolerance in rhesus macaques (Macaca mulatta) with intermittent chronic diarrhea.Animal microbiome · 2024Article
- Genetic variation and pesticide exposure influence blood DNA methylation signatures in females with early-stage Parkinson's disease.NPJ Parkinson's disease · 2024Article
- A preliminary investigation of epigenome-wide DNA methylation and temperament during infancy.Developmental psychobiology · 2024Article
- Epigenetic link between Agent Orange exposure and type 2 diabetes in Korean veterans.Frontiers in endocrinology · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundWhen designing an epigenome-wide association study (EWAS) to investigate the relationship between DNA methylation (DNAm) and some exposure(s) or phenotype(s), it is critically important to assess the sample size needed to detect a hypothesized difference with adequate statistical power. However, the complex and nuanced nature of DNAm data makes direct assessment of statistical power challenging. To circumvent these challenges and to address the outstanding need for a user-friendly interface for EWAS power evaluation, we have developed pwrEWAS.
resultsThe current implementation of pwrEWAS accommodates power estimation for two-group comparisons of DNAm (e.g. case vs control, exposed vs non-exposed, etc.), where methylation assessment is carried out using the Illumina Human Methylation BeadChip technology. Power is calculated using a semi-parametric simulation-based approach in which DNAm data is randomly generated from beta-distributions using CpG-specific means and variances estimated from one of several different existing DNAm data sets, chosen to cover the most common tissue-types used in EWAS. In addition to specifying the tissue type to be used for DNAm profiling, users are required to specify the sample size, number of differentially methylated CpGs, effect size(s) (Δ
conclusionBoth under- and overpowered studies unnecessarily deplete resources and even risk failure of a study. With pwrEWAS, we provide a user-friendly tool to help researchers circumvent these risks and to assist in the design and planning of EWAS. AVAILABILITY: The web interface is written in the R statistical programming language using Shiny (RStudio Inc., 2016) and is available at https://biostats-shinyr.kumc.edu/pwrEWAS/ . The R package for pwrEWAS is publicly available at GitHub ( https://github.com/stefangraw/pwrEWAS ).
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.