ArticleMolecular psychiatry2021
Epigenetic prediction of major depressive disorder.
Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.
- Decoding depression: a comprehensive multi-cohort exploration of blood DNA methylation using machine learning and deep learning approaches.Translational psychiatry · 2024Pooled it
- Epigenome-wide association study of global cortical volumes in generation Scotland: Scottish family health study.Epigenetics · 2022Pooled it
- Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression.Translational psychiatry · 2021Pooled it
- Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial.Translational psychiatry · 2022Trial
- DNA methylation-based surrogate markers of C-reactive protein and their associations with health-related traits.GeroScience · 2026Article
- DNA methylation signatures associated with bipolar disorder in peripheral blood improve prediction models.EBioMedicine · 2026Article
- Article
- Interplay between the HPA axis and inflammation as mechanisms therapeutic targets ofFrontiers in pharmacology · 2026Review
- Posttraumatic stress disorder and epigenetic signatures of inflammation in middle-aged women.Psychoneuroendocrinology · 2025Article
- DNA methylation of the IL6R gene moderates the association between biopsychosocial factors and depression.Translational psychiatry · 2025Article
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- DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics.Clinical epigenetics · 2025Review
- Psychological distress in older adults: associations with epigenetic markers of ageing, inflammation, and depression, and joint effects on mortality.Brain, behavior, & immunity - health · 2025Article
- Brain Neurotrophins and Plant Polyphenols: A Powerful Connection.Molecules (Basel, Switzerland) · 2025Review
- Methylation Risk Score Modelling in Endometriosis: Evidence for Non-Genetic DNA Methylation Effects in a Case-Control Study.International journal of molecular sciences · 2025Article
- A methylome-wide association study of major depression with out-of-sample case-control classification and trans-ancestry comparison.Nature. Mental health · 2025Article
- LncRNA of peripheral blood mononuclear cells: HYMAI acts as a potential diagnostic and therapeutic biomarker for female major depressive disorder.Frontiers in psychiatry · 2025Article
- Technical variability across the 450K, EPICv1, and EPICv2 DNA methylation arrays: lessons learned for clinical and longitudinal studies.Clinical epigenetics · 2024Article
- A methylation risk score for chronic kidney disease: a HyperGEN study.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 3 countries.
Funding
Abstract
Variation in DNA methylation (DNAm) is associated with lifestyle factors such as smoking and body mass index (BMI) but there has been little research exploring its ability to identify individuals with major depressive disorder (MDD). Using penalised regression on genome-wide CpG methylation, we tested whether DNAm risk scores (MRS), trained on 1223 MDD cases and 1824 controls, could discriminate between cases (n = 363) and controls (n = 1417) in an independent sample, comparing their predictive accuracy to polygenic risk scores (PRS). The MRS explained 1.75% of the variance in MDD (β = 0.338, p = 1.17 × 10
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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.