ArticleNature communications2020
Bayesian reassessment of the epigenetic architecture of complex traits.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers.
What it found
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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
39 citing papers in PubMed, 81 citations in OpenAlex.
- Blood-based DNA methylation captures variance in adult height.Genome biology · 2026Article
- FSBLUP: a novel strategy of fusion similarity matrix construction via optimally integrating intermediate omics data to enhance genomic prediction.Genome biology · 2026Article
- MAJA: multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes.Bioinformatics advances · 2026Article
- Methods for analysing wildlife DNA methylation data.Conservation physiology · 2026Article
- Methylome-wide association studies and epigenetic biomarker development for 133 mass spectrometry-assessed circulating proteins in 14,671 Generation Scotland participants.Genome biology · 2025Article
- Gene body methylation regulates gene expression and mediates phenotypic diversity in natural Arabidopsis populations.Nature plants · 2025Article
- Review
- A blood- and brain-based EWAS of smoking.Nature communications · 2025Article
- Blood-based epigenome-wide association study and prediction of alcohol consumption.Clinical epigenetics · 2025Article
- DNA methylation-based predictors of metabolic traits in Scottish and Singaporean cohorts.American journal of human genetics · 2025Article
- Influence of Altered Immune-Inflammatory Axis on the Risk of Osteomyelitis and Its Network Interaction Effect in European Population.Mediators of inflammation · 2025Article
- DNAm scores for serum GDF15 and NT-proBNP levels associate with a range of traits affecting the body and brain.Clinical epigenetics · 2024Article
- Cigarette Smoking and E-cigarette Use Induce Shared DNA Methylation Changes Linked to Carcinogenesis.Cancer research · 2024Article
- Methylome-wide studies of six metabolic traits.medRxiv : the preprint server for health sciences · 2024Article
- Blood-based epigenome-wide analyses of chronic low-grade inflammation across diverse population cohorts.Cell genomics · 2024Article
- Integration of datasets for individual prediction of DNA methylation-based biomarkers.Genome biology · 2023Article
- Blood-based genome-wide DNA methylation correlations across body-fat- and adiposity-related biochemical traits.American journal of human genetics · 2023Article
- Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals.PLoS medicine · 2023Review
- Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes.Nature communications · 2023Article
- An overview of DNA methylation-derived trait score methods and applications.Genome biology · 2023Review
Corrections and comments
- Erratum issued
Authors and funding
23 authors at 8 institutions in 4 countries.
Funding
Abstract
Linking epigenetic marks to clinical outcomes improves insight into molecular processes, disease prediction, and therapeutic target identification. Here, a statistical approach is presented to infer the epigenetic architecture of complex disease, determine the variation captured by epigenetic effects, and estimate phenotype-epigenetic probe associations jointly. Implicitly adjusting for probe correlations, data structure (cell-count or relatedness), and single-nucleotide polymorphism (SNP) marker effects, improves association estimates and in 9,448 individuals, 75.7% (95% CI 71.70-79.3) of body mass index (BMI) variation and 45.6% (95% CI 37.3-51.9) of cigarette consumption variation was captured by whole blood methylation array data. Pathway-linked probes of blood cholesterol, lipid transport and sterol metabolism for BMI, and xenobiotic stimuli response for smoking, showed >1.5 times larger associations with >95% posterior inclusion probability. Prediction accuracy improved by 28.7% for BMI and 10.2% for smoking over a LASSO model, with age-, and tissue-specificity, implying associations are a phenotypic consequence rather than causal.
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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.