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Multi-omics epigenome-wide association study/Evidence
Method evidence record

Multi-omics epigenome-wide association study

A multi-omics epigenome-wide association study (multi-omics EWAS) systematically scans the entire epigenome — typically DNA methylation at CpG sites — for associations with a phenotype of interest, then integrates findings across additional omics layers such as transcriptomics, genomics, proteomics, or metabolomics. By linking epigenetic variation to molecular changes at multiple biological levels simultaneously, this approach identifies regulatory mechanisms and biomarkers that single-omics EWAS cannot resolve.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Multi-Omics Epigenome-Wide Association Study
Taxonomic method record · process-pipeline / bioinformatics
  • Rakyan, V. K., Down, T. A., Balding, D. J., & Beck, S. (2011). Epigenome-wide association studies for common human diseases. Nature Reviews Genetics, 12(8), 529–541. · DOI 10.1038/nrg3000
  • Hawe, J. S., Theis, F. J., & Heinig, M. (2019). Inferring interaction networks from multi-omics data. Frontiers in Genetics, 10, 535. · URL
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketEpigenome-wide association studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketeQTL Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketGenome-wide association studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPathway Enrichment Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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