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Beyond 850K: Accessing the Full Methylome with dWMS

As multi-omics trial designs become standard, dWMS provides the methylome layer required to complement transcriptomic and proteomic data without the technical debt or revalidation demands of legacy platforms.

The Post-Array Era of Epigenomic Discovery

For over a decade, Illumina’s high-density methylation arrays have defined the landscape of clinical epigenomics. The EPIC 850K Array, often considered the gold standard, enabled large methylation studies at scale, generating data that built today’s methylation knowledge base1

But that foundation came with a ceiling. Arrays capture fewer than 3% of the 28 million CpG sites in the human genome, largely biased toward promoter regions and previously characterized regulatory elements2,3. This design inherently limits discovery, leaving extra-array areas like enhancer regions, long non-coding RNAs, and subtelomeric sites largely invisible to array-based profiling4.

To unlock the remaining 97% of the methylome, clinical epigenomics needs to move beyond probe panels toward native, base-resolution sequencing.

Wasatch BioLabs’ Direct Whole Methylome Sequencing (dWMS) service breaks through that limitation. Built on Oxford Nanopore’s long-read technology, dWMS sequences DNA in its native state, without bisulfite conversion, amplification, or information loss5,6

By reading methylation directly from native DNA strands, dWMS captures more than 97% of CpG sites genome-wide, encompassing enhancers, intragenic regions, long non-coding RNAs, and regulatory hotspots that arrays cannot access. The result is a single-assay workflow that delivers both genetic and epigenetic data with true single-base resolution.

Because dWMS is panel-free, the same data can be re-queried as new biology emerges, making it a future-proof foundation for discovery and translational research.

What the Data Show

Nanopore sequencing enables direct, chemical-free mapping of methylation and other base modifications that array chemistries often miss7. Whole-methylome studies have demonstrated base-resolution calls at ~26–28 million CpG sites, representing >92% of all CpGs, with the added ability to resolve allele- and haplotype-specific methylation6,8.

Comparative studies show that even the highest-density arrays fail to capture more than half of the genome’s methylation signals, particularly in enhancer regions influencing transcriptional regulation9. Nanopore-derived methylation estimates not only align more closely with bisulfite benchmarks but also deliver broader coverage and finer resolution10

These long-read approaches are already connecting methylation dynamics with gene expression in cancer and neurological disease, linking molecular mechanisms directly to phenotype7,11.

Strategic Advantages Across the Clinical Pipeline

Discovery Without Boundaries
In exploratory trials and early-phase research, dWMS empowers discovery of methylation biomarkers far beyond canonical promoter regions. It enables comprehensive analysis of enhancer networks, chromatin modifiers, and intergenic regulatory loci that often drive disease heterogeneity and therapy resistance12.

Validation and Companion Diagnostics
For biomarker validation, dWMS produces reproducible, quantitative methylation data suitable for integration with machine-learning classifiers and genomic risk models. Because the workflow is independent of predefined probes, evolving biomarker panels can be expanded without re-engineering the assay, accelerating companion diagnostic development and regulatory readiness13.

Precision Stratification
Comprehensive methylome data strengthen molecular stratification within heterogeneous patient cohorts. Even in the absence of canonical promoter methylation changes, dWMS can detect subtle subgroup signatures that inform enrollment and therapeutic targeting in trials.

Technical Edge: From Subtlety to Specificity

Arrays infer while dWMS resolves. These capabilities extend beyond research-use assays into the emerging domain of sequencing-based diagnostics and regulatory-grade analytics. That shift enables insights unreachable by any probe-based method.

Eliminated panel biases:
Every genomic region, coding or non-coding, proximal or distal, is measurable.

Allele- and haplotype-specific detection:
Reveals imprinting, mosaicism, and cis-regulatory variation influencing disease risk or drug response6.

Single-base precision:
Captures subtle methylation shifts within enhancer-driven gene-regulatory networks.

The Market Shift Is Already Underway

Demand for sequencing-based methylation analysis is accelerating. Market projections indicate the methylation sequencing sector will exceed $1.3 billion by 2025, driven by ~17% compound annual growth in clinical and translational applications14,15

Regulators across North America, Europe, and Asia-Pacific are increasingly recognizing sequencing-based methylation biomarkers as viable components of in vitro diagnostic submissions16.

As multi-omics trial designs become standard, dWMS provides the methylome layer required to complement transcriptomic and proteomic data without the technical debt or revalidation demands of legacy platforms.

Wasatch BioLabs: Powering the Next Wave of Epigenomic Insight

Wasatch BioLabs combines proprietary wet-lab optimization, Oxford Nanopore technology, and tailored bioinformatics pipelines to deliver end-to-end, direct whole methylome sequencing.

Our dWMS platform supports translational research, biomarker discovery, and clinical trial enablement., helping teams uncover the 97% of the methylome that arrays can’t see with scalable coverage to match your research and discovery. Whether you’re validating a biomarker, stratifying patients, or designing next-generation diagnostics, dWMS provides a scalable, future-ready foundation for precision epigenomics.

Ready to move beyond the 850K?Contact Wasatch BioLabs at support@wasatchbiolabs.com to integrate dWMS into your next discovery or clinical project

  1. Bibikova M, Barnes B, Tsan C, et al. High density DNA methylation array with single CpG site resolution. Genomics. 2011/10/01/ 2011;98(4):288-295. doi: https://doi.org/10.1016/j.ygeno.2011.07.007
  2. Pidsley R, Zotenko E, Peters TJ, et al. Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome biology. 2016;17:1-17.
  3. Nakabayashi K. The Illumina Infinium methylation assay for genome-wide methylation analyses. Epigenetics Methods. Elsevier; 2020:117-140.
  4. Hoheisel JD. Microarray technology: beyond transcript profiling and genotype analysis. Nature reviews genetics. 2006;7(3):200-210.
  5. Simpson JT, Workman RE, Zuzarte P, David M, Dursi L, Timp W. Detecting DNA cytosine methylation using nanopore sequencing. Nature methods. 2017;14(4):407-410.
  6. Kolmogorov M, Billingsley KJ, Mastoras M, et al. Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation. Nature methods. 2023;20(10):1483-1492.
  7. Zhang J, Xie S, Xu J, Liu H, Wan S. Cancer biomarkers discovery of methylation modification with direct high-throughput nanopore sequencing. Frontiers in Genetics. 2021;12:672804.
  8. Silva C, Machado M, Ferrão J, Sebastião Rodrigues A, Vieira L. Whole human genome 5’-mC methylation analysis using long read nanopore sequencing. Epigenetics. 2022;17(13):1961-1975.
  9. Sigurpalsdottir BD, Stefansson OA, Holley G, et al. A comparison of methods for detecting DNA methylation from long-read sequencing of human genomes. Genome Biology. 2024;25(1):69.
  10. Flynn R, Washer S, Jeffries AR, et al. Evaluation of nanopore sequencing for epigenetic epidemiology: a comparison with DNA methylation microarrays. Human Molecular Genetics. 2022;31(18):3181-3190. doi:10.1093/hmg/ddac112
  11. Sigurpalsdottir BD, Stefansson OA, Holley G, et al. A comparison of methods for detecting DNA methylation from long-read sequencing of human genomes. Genome Biology. 2024/03/11 2024;25(1):69. doi:10.1186/s13059-024-03207-9
  12. Deacon S, Cahyani I, Holmes N, et al. ROBIN: A unified nanopore-based sequencing assay integrating real-time, intraoperative methylome classification and next-day comprehensive molecular brain tumour profiling for ultra-rapid tumour diagnostics. medRxiv. 2024:2024.09. 10.24313398.
  13. Dyshlovoy SA, Paigin S, Afflerbach A-K, et al. Applications of Nanopore sequencing in precision cancer medicine. International Journal of Cancer. 2024/12/15 2024;155(12):2129-2140. doi:https://doi.org/10.1002/ijc.35100
  14. AMR. Archive Market Research. Methylation Analysis 2025-2033 Trends: Unveiling Growth.; 2024. Accessed September 1, 2025. https://www.archivemarketresearch.com/reports/methylation-analysis-58561
  15. DiMarket. DNA Methylation Sequencing Market Dynamics: Drivers and Barriers to Growth 2025-2033.; 2025. Accessed September 1, 2025. https://www.datainsightsmarket.com/reports/dna-methylation-sequencing-576295
  16. Taryma-Leśniak O, Sokolowska KE, Wojdacz TK. Current status of development of methylation biomarkers for in vitro diagnostic IVD applications. Clin Epigenetics.BioMed Central. 2020;12(1). doi:10.1186/s13148-020-00886-6

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