ArticleEpigenetics2023
Pruning and thresholding approach for methylation risk scores in multi-ancestry populations.
Article in Epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Epigenetic and blood markers associated with response to electroconvulsive therapy in patients with depressive disorders.Translational psychiatry · 2025Pooled it
- Sex effects on DNA methylation affect discovery in epigenome-wide association study of schizophrenia.Molecular psychiatry · 2024Pooled it
- DNA methylation signatures associated with bipolar disorder in peripheral blood improve prediction models.EBioMedicine · 2026Article
- Consortium profile: the methylation, imaging and NeuroDevelopment (MIND) consortium.Molecular psychiatry · 2026Review
- A deep ensemble encoder network method for improved polygenic risk score prediction.BioData mining · 2026Article
- Scalable screening of ternary-code DNA methylation dynamics associated with human traits.Cell genomics · 2025Article
- Review
- Methylation Risk Scores in Psychiatric Disorders: Advancing Epigenetic Research in Mental Health.JMA journal · 2025Article
- AD-GCN: A novel graph convolutional network integrating multi-omics data for enhanced Alzheimer's disease diagnosis.PloS one · 2025Article
- Development of a metabolomic risk score for exposure to traffic-related air pollution: A multi-cohort study.Environmental research · 2024Article
- Epigenome-Wide and Methylation Risk Score Analysis of Body Mass Index Among People with HIV.Epigenomes · 2024Article
- A methylation risk score for chronic kidney disease: a HyperGEN study.Scientific reports · 2024Article
- DNA methylation as a potential mediator of the association between prenatal tobacco and alcohol exposure and child neurodevelopment in a South African birth cohort.Translational psychiatry · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Recent efforts have focused on developing methylation risk scores (MRS), a weighted sum of the individual's DNA methylation (DNAm) values of pre-selected CpG sites. Most of the current MRS approaches that utilize Epigenome-wide association studies (EWAS) summary statistics only include genome-wide significant CpG sites and do not consider co-methylation. New methods that relax the p-value threshold to include more CpG sites and account for the inter-correlation of DNAm might improve the predictive performance of MRS. We paired informed co-methylation pruning with P-value thresholding to generate pruning and thresholding (P+T) MRS and evaluated its performance among multi-ancestry populations. Through simulation studies and real data analyses, we demonstrated that pruning provides an improvement over simple thresholding methods for prediction of phenotypes. We demonstrated that European-derived summary statistics can be used to develop P+T MRS among other populations such as African populations. However, the prediction accuracy of P+T MRS may differ across multi-ancestry population due to environmental/cultural/social differences.
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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.