ArticleBioinformatics (Oxford, England)2024
methscore: a comprehensive R function for DNA methylation-based health predictors.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methylation profile of individuals with sickle cell trait.Epigenetics · 2025Pooled it
- DNA methylation-based surrogate markers of C-reactive protein and their associations with health-related traits.GeroScience · 2026Article
- Biological age-acceleration in relation to muscle mass, strength and function: findings from the Hertfordshire Cohort Study.Aging clinical and experimental research · 2026Article
- Arsenic exposure at birth, socioeconomic status, and epigenetic aging among adults in northern Chile.Environmental research · 2026Article
- Epigenetic Age Acceleration, Neurocognition and Oral Health in Nigerian Adolescents With and Without HIV.The Pediatric infectious disease journal · 2026Article
- Article
- Multi-Ancestry Epigenome-Wide Meta-Analysis Identifies Novel Bulk and Cell-Type-Specific Epigenetic Markers of Asthma with Severe Exacerbations.medRxiv : the preprint server for health sciences · 2026Article
- Blood DNA methylation-predicted plasma protein levels and colorectal cancer survival.Clinical epigenetics · 2026Article
- Association of Epigenetic Aging Biomarkers With Risk of MASLD-Related HCC.Liver international : official journal of the International Association for the Study of the Liver · 2026Article
- DNA methylation-predicted protein differences between Yakutian and Central Russian populations.Epigenomics · 2025Article
- Social relationships and epigenetic markers of aging in middle-aged and older adults: cross-sectional and prospective analyses.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- TranslAGE: A Comprehensive Platform for Systematic Validation of Epigenetic Aging Biomarkers.bioRxiv : the preprint server for biology · 2025Article
- Cumulative Epigenetic Aging From Birth to Young Adulthood and Prospective Associations With Cardiometabolic Health in the CHAMACOS Study.Journal of the American Heart Association · 2025Article
- DNA methylation-based health predictors: advances, applications, and perspectives.Epigenomics · 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
- Association of Epigenetic Markers of Aging With Prevalent and Incident Type 2 Diabetes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits.PLoS computational biology · 2025Article
- Early-life exposure to secondhand smoke and polycyclic aromatic hydrocarbons: associations with epigenetic aging among children.Environmental epigenetics · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
motivationDNA methylation-based predictors of various biological metrics have been widely published and are becoming valuable tools in epidemiologic studies of epigenetics and personalized medicine. However, generating these predictors from original source software and web servers is complex and time consuming. Furthermore, different predictors were often derived based on data from different types of arrays, where array differences and batch effects can make predictors difficult to compare across studies.
resultsWe integrate these published methods into a single R function to produce 158 previously published predictors for chronological age, biological age, exposures, lifestyle traits and serum protein levels using both classical and principal component-based methods. To mitigate batch and array differences, we also provide a modified RCP method (ref-RCP) that normalize input DNA methylation data to reference data prior to estimation. Evaluations in real datasets show that this approach improves estimate precision and comparability across studies. AVAILABILITY AND IMPLEMENTATION: The function was included in software package ENmix, and is freely available from Bioconductor website (https://www.bioconductor.org/packages/release/bioc/html/ENmix.html).
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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.