ArticleLife science alliance2025
Accounting for differences between Infinium MethylationEPIC v2 and v1 in DNA methylation-based tools.
Article in Life science alliance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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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
9 citing papers in PubMed.
- Epigenetic Alterations in Meningiomas-A Review.Biomedicines · 2026Review
- Article
- Longitudinal Changes in Inflammation-Related Methylation Risk Score for C-Reactive Protein Among People with HIV.Epigenomes · 2026Article
- Strong concordance of DNA methylation measures between venous and capillary blood - Implications for human epigenome studies.iScience · 2026Article
- slideimp: efficient imputation of DNA methylation data.Bioinformatics (Oxford, England) · 2026Article
- Development and validation of MethylCog, a blood DNA methylation proxy for cognition.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- From population science to the clinic? Limits of epigenetic clocks as personal biomarkers.Epigenomics · 2025Article
- TranslAGE: A Comprehensive Platform for Systematic Validation of Epigenetic Aging Biomarkers.bioRxiv : the preprint server for biology · 2025Article
- iComBat: An incremental framework for batch effect correction in DNA methylation array data.Computational and structural biotechnology journal · 2025Article
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22 authors.
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Abstract
The recently launched Illumina Infinium MethylationEPIC v2.0 (EPICv2), successor of MethylationEPIC v1.0 (EPICv1), retains most of the probes in EPICv1, while expanding coverage of regulatory elements. The concordance between the two EPIC versions in DNA methylation-based tools has not yet been investigated. To address this, DNA methylation was profiled on both versions using matched blood samples across four cohorts spanning early to late adulthood. High concordance between versions at the array level but variable agreement at the individual probe level was noted. A significant contribution of the EPIC version to DNA methylation variation was observed, though it was to a smaller extent compared with sample relatedness and cell-type composition. Modest but significant differences in DNA methylation-based estimates between versions were observed, irrespective of the data preprocessing method used. Adjustments for EPIC version or calculation of estimates separately for each version largely mitigated these version-specific discordances. This work emphasizes the importance of accounting for EPIC version differences in research scenarios, especially in meta-analyses and longitudinal studies that require data harmonization across versions.
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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.