ArticleEpigenetics & chromatin2020
Comparison of methylation capture sequencing and Infinium MethylationEPIC array in peripheral blood mononuclear cells.
Article in Epigenetics & chromatin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Entorhinal cortex epigenome-wide association study highlights four novel loci showing differential methylation in Alzheimer's disease.Alzheimer's research & therapy · 2023Pooled it
- Epigenome-wide meta-analysis of PTSD symptom severity in three military cohorts implicates DNA methylation changes in genes involved in immune system and oxidative stress.Molecular psychiatry · 2022Pooled it
- A Guide to Enzymatic Targeted Methylation Sequencing Bioinformatics Workflow: Best Practices.Current protocols · 2026Article
- Genome-wide extraction of differentially methylated DNA regions using adapter-anchored proximity primers.Nucleic acids research · 2026Article
- An optimized protocol to detect high-throughput DNA methylation from custom targeted sequences on 96 samples simultaneously.FEBS open bio · 2025Article
- Placental epigenetic clocks derived from crowdsourcing: Implications for the study of accelerated aging in obstetrics.iScience · 2025Article
- Optimization of methylation capture sequencing workflow in formalin fixed tissue from oral squamous cell carcinoma patients.Oral oncology · 2025Article
- Incorporating local ancestry information to predict genetically associated DNA methylation in admixed populations.Briefings in bioinformatics · 2025Observational
- Assessing Metabolic Ageing via DNA Methylation Surrogate Markers: A Multicohort Study in Britain, Ireland and the USA.Aging cell · 2025Article
- Cost-effective solutions for high-throughput enzymatic DNA methylation sequencing.PLoS genetics · 2025Article
- Aberrant DNA methylation of genes regulating CD4+ T cell HIV-1 reservoir in women with HIV.Clinical and translational medicine · 2025Article
- MethylBERT enables read-level DNA methylation pattern identification and tumour deconvolution using a Transformer-based model.Nature communications · 2025Article
- Clinical application of PBMCs in breast cancer: detection, treatment evaluation and prognosis.Frontiers in cell and developmental biology · 2025Review
- Genome-Wide DNA Methylation Markers Associated With Metabolic Liver Cancer.Gastro hep advances · 2025Article
- Resistance and aerobic training increases genome-wide DNA methylation in women with polycystic ovary syndrome.Epigenetics · 2024Article
- Association of DNA Methylation with Infant Birth Weight in Women with Gestational Diabetes.Metabolites · 2024Review
- Cortico-striatal differences in the epigenome in attention-deficit/ hyperactivity disorder.Translational psychiatry · 2024Article
- A novel approach toward optimal workflow selection for DNA methylation biomarker discovery.BMC bioinformatics · 2024Article
- Differential methylation region detection via an array-adaptive normalized kernel-weighted model.PloS one · 2024Article
- Integrative transcriptome- and DNA methylation analysis of brain tissue from the temporal pole in suicide decedents and their controls.Molecular psychiatry · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundEpigenome-wide association studies (EWAS) have been widely applied to identify methylation CpG sites associated with human disease. To date, the Infinium MethylationEPIC array (EPIC) is commonly used for high-throughput DNA methylation profiling. However, the EPIC array covers only 30% of the human methylome. Methylation Capture bisulfite sequencing (MC-seq) captures target regions of methylome and has advantages of extensive coverage in the methylome at an affordable price.
methodsEpigenome-wide DNA methylation in four peripheral blood mononuclear cell samples was profiled by using SureSelectXT Methyl-Seq for MC-seq and EPIC platforms separately. CpG site-based reproducibility of MC-seq was assessed with DNA sample inputs ranging in quantity of high (> 1000 ng), medium (300-1000 ng), and low (150 ng-300 ng). To compare the performance of MC-seq and the EPIC arrays, we conducted a Pearson correlation and methylation value difference at each CpG site that was detected by both MC-seq and EPIC. We compared the percentage and counts in each CpG island and gene annotation between MC-seq and the EPIC array.
resultsAfter quality control, an average of 3,708,550 CpG sites per sample were detected by MC-seq with DNA quantity > 1000 ng. Reproducibility of DNA methylation in MC-seq-detected CpG sites was high among samples with high, medium, and low DNA inputs (r > 0.96). The EPIC array captured an average of 846,464 CpG sites per sample. Compared with the EPIC array, MC-seq detected more CpGs in coding regions and CpG islands. Among the 472,540 CpG sites captured by both platforms, methylation of a majority of CpG sites was highly correlated in the same sample (r: 0.98-0.99). However, methylation for a small proportion of CpGs (N = 235) differed significantly between the two platforms, with differences in beta values of greater than 0.5.
conclusionsOur results show that MC-seq is an efficient and reliable platform for methylome profiling with a broader coverage of the methylome than the array-based platform. Although methylation measurements in majority of CpGs are highly correlated, a number of CpG sites show large discrepancy between the two platforms, which warrants further investigation and needs cautious interpretation.
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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.