ArticleHuman molecular genetics2022
Evaluation of nanopore sequencing for epigenetic epidemiology: a comparison with DNA methylation microarrays.
Article in Human molecular genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
The trial behind it
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, 17 citations in OpenAlex.
- Comparison of nanopore sequencing, MethylationEPIC array, and EM-Seq for DNA methylation detection.Computational biology and chemistry · 2026Article
- The potential of methylation signal detection in eDNA toward functional ecological monitoring.Communications biology · 2026Review
- Genome-wide DNA methylation signatures in blood associated with pediatric obesity.Clinical epigenetics · 2026Article
- Accurate prediction of oligonucleotide probe hybridization efficiency via a transformer-based model.BMC genomics · 2026Article
- DNA methylation as a biomarker of prenatal exposures: current challenges and opportunities.Environmental epigenetics · 2026Review
- Precision medicine in liver transplantation for hepatocellular carcinoma: applications and prospects of third-generation sequencing technology.Journal of cancer research and clinical oncology · 2025Review
- Cost-effective promoter methylation analysis via target long-read bisulfite sequencing: a case study in severe preterm birth.BMC medical genomics · 2025Article
- Investigating Aging and DNA Methylation: A Path to Improving Health Span?The Yale journal of biology and medicine · 2025Review
- DNA Sequencing and the Third-Generation Sequencing Revolution.Methods in molecular biology (Clifton, N.J.) · 2025Article
- DNA Methylation in Alzheimer's Disease.Current topics in behavioral neurosciences · 2025Review
- Genetic and epigenetic biomarkers in human biomonitoring: why needed and how can Oxford Nanopore sequencing contribute?Frontiers in public health · 2025Review
- Decoding the Epigenetic Landscape: Insights into 5mC and 5hmC Patterns in Mouse Cortical Cell Types.bioRxiv : the preprint server for biology · 2024Article
- Exploring early DNA methylation alterations in type 1 diabetes: implications of glycemic control.Frontiers in endocrinology · 2024Article
- Altered epigenetic landscape as infectious disease diagnostics.Epigenomics · 2024Article
- Oxford Nanopore Technology and its Application in Liquid Biopsies.Current genomics · 2023Review
- Detection of Biological Molecules Using Nanopore Sensing Techniques.Biomedicines · 2023Review
- Epigenetics and the Exposome: DNA Methylation as a Proxy for Health Impacts of Prenatal Environmental Exposures.Exposome · 2023Article
- Modification mapping by nanopore sequencing.Frontiers in genetics · 2022Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Most epigenetic epidemiology to date has utilized microarrays to identify positions in the genome where variation in DNA methylation is associated with environmental exposures or disease. However, these profile less than 3% of DNA methylation sites in the human genome, potentially missing affected loci and preventing the discovery of disrupted biological pathways. Third generation sequencing technologies, including Nanopore sequencing, have the potential to revolutionize the generation of epigenetic data, not only by providing genuine genome-wide coverage but profiling epigenetic modifications direct from native DNA. Here we assess the viability of using Nanopore sequencing for epidemiology by performing a comparison with DNA methylation quantified using the most comprehensive microarray available, the Illumina EPIC array. We implemented a CRISPR-Cas9 targeted sequencing approach in concert with Nanopore sequencing to profile DNA methylation in three genomic regions to attempt to rediscover genomic positions that existing technologies have shown are differentially methylated in tobacco smokers. Using Nanopore sequencing reads, DNA methylation was quantified at 1779 CpGs across three regions, providing a finer resolution of DNA methylation patterns compared to the EPIC array. The correlation of estimated levels of DNA methylation between platforms was high. Furthermore, we identified 12 CpGs where hypomethylation was significantly associated with smoking status, including 10 within the AHRR gene. In summary, Nanopore sequencing is a valid option for identifying genomic loci where large differences in DNAm are associated with a phenotype and has the potential to advance our understanding of the role differential methylation plays in the etiology of complex disease.
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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.