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Multi-Omics

Definition
AI-generated

Multi-omics jointly measures and integrates two or more molecular layers—commonly genome, transcriptome, proteome, metabolome, epigenome, and microbiome—within the same individuals or matched cohorts.

Topics
Sequencing and omics tech
Related
Epigenome Genomics Pan-Omics

Why it matters in GWAS

Combining layers helps prioritize causal genes (e.g. genotype → eQTL → protein → metabolite chains), refine pathway models, and reduce false interpretation from any single assay modality.

Example usage

"Multi-Omics appears in the methods to support interpretation of the primary results."

Epigenome Genomics Pan-Omics Metabolome Microbiome Multi-Omic Single-Cell Integration Proteome Transcriptome
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Hasin Y, Seldin M, Lusis A. (2017). Multi-omics approaches to disease. Genome Biol.
← Multi-Omic Single-Cell Integration Multi-Trait GWAS →

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