ReviewGenome biology2023
An overview of DNA methylation-derived trait score methods and applications.
Review in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 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
40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 84 citations in OpenAlex.
- Paediatric DNA methylation profile scores: a systematic review and open-source atlas.EBioMedicine · 2026Pooled it
- Epigenome-wide association study, meta-analysis, and multiscore profiling of whole blood in Parkinson's disease.Annals of clinical and translational neurology · 2025Pooled it
- DNA methylation risk score for type 2 diabetes is associated with gestational diabetes.Cardiovascular diabetology · 2024Pooled it
- A Predictive Tool Based on DNA Methylation Data for Personalized Weight Loss through Different Dietary Strategies: A Pilot Study.Nutrients · 2023Trial
- Article
- DNA methylation as proxy of genetic, prenatal and perinatal psychiatric risk factors.medRxiv : the preprint server for health sciences · 2026Article
- Consortium profile: the methylation, imaging and NeuroDevelopment (MIND) consortium.Molecular psychiatry · 2026Review
- TP53BP2 Promotes Placental Autophagy and Preeclampsia via G9a and DNMT1 Cooperatively Modulating E2F1.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Epigenetics of Childhood Obesity.Hormone research in paediatrics · 2026Review
- Methods for analysing wildlife DNA methylation data.Conservation physiology · 2026Article
- Article
- Pathway information on methylation analysis using deep neural network (PROMINENT): An interpretable deep learning method with pathway prior for phenotype prediction using gene-level DNA methylation.Artificial intelligence in medicine · 2025Article
- Article
- Fasting and Postprandial DNA Methylation Signatures in Adipose Tissue from Asymptomatic Individuals with Metabolic Alterations.International journal of molecular sciences · 2025Article
- An Integrative Polygenic and Epigenetic Risk Score for Overweight-related Hypertension in Chinese Population.Genomics, proteomics & bioinformatics · 2025Article
- Biological sex impacts immune cell proportions and epigenetic profiles in the developing pediatric immune system.Communications biology · 2025Article
- A comprehensive guide to genomeZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Review
- Epigenetic clocks and DNA methylation biomarkers of brain health and disease.Nature reviews. Neurology · 2025Review
- A Scoping Review of Epigenetic Signatures of Diet and Diet-related Metabolites: Insights from Epigenome-Wide Association Studies and Their Implications for Cardiometabolic Health and Diseases.The Yale journal of biology and medicine · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Microarray technology has been used to measure genome-wide DNA methylation in thousands of individuals. These studies typically test the associations between individual DNA methylation sites ("probes") and complex traits or diseases. The results can be used to generate methylation profile scores (MPS) to predict outcomes in independent data sets. Although there are many parallels between MPS and polygenic (risk) scores (PGS), there are key differences. Here, we review motivations, methods, and applications of DNA methylation-based trait prediction, with a focus on common diseases. We contrast MPS with PGS, highlighting where assumptions made in genetic modeling may not hold in epigenetic data.
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.