ArticleEpigenomics2026
A comparison of differential DNA methylation analysis methods for continuous outcomes: implications for epigenetic studies.
Article in Epigenomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundUnivariate methods are widely employed in epigenome-wide association studies to identify CpGs associated with phenotypic traits. However, their performance has not been thoroughly evaluated.
methodsWe compared commonly used methods- limma, Spearman's correlation (SC), and quantile regression (QR)- for analysis of methylation changes with gestational and individual age across multiple cohorts. The comparison was based on reproducibility, genomic location distribution, and predictive accuracy of CpGs identified as differentially methylated.
resultsLimma identified more consistent gestational age-associated CpGs (
conclusionThe findings of this study indicate that the choice of differential methylation analysis method impacts CpG-level reproducibility, within chromosome co-location, and predictive accuracy. Overall, limma offers a strong balance of reproducibility and predictive value.
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.