ArticleEpigenetics2023
A novel principal component based method for identifying differentially methylated regions in Illumina Infinium MethylationEPIC BeadChip data.
Article in Epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed.
- Genetic and epigenetic analysis of plasma glial fibrillary acidic protein (GFAP) levels in PTSD.Molecular psychiatry · 2026Article
- PCBS: an R package for fast and accurate analysis of bisulfite sequencing data.Bioinformatics (Oxford, England) · 2024Article
- Differential methylation region detection via an array-adaptive normalized kernel-weighted model.PloS one · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
Differentially methylated regions (DMRs) are genomic regions with methylation patterns across multiple CpG sites that are associated with a phenotype. In this study, we proposed a Principal Component (PC) based DMR analysis method for use with data generated using the Illumina Infinium MethylationEPIC BeadChip (EPIC) array. We obtained methylation residuals by regressing the M-values of CpGs within a region on covariates, extracted PCs of the residuals, and then combined association information across PCs to obtain regional significance. Simulation-based genome-wide false positive (GFP) rates and true positive rates were estimated under a variety of conditions before determining the final version of our method, which we have named DMR
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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 Socratic graph.