Skip to content

Pathway Analysis

Definition
AI-generated

Pathway (or gene-set) analysis aggregates association evidence across variants mapped to genes and then to predefined sets (pathways, GO terms, curated disease sets), testing whether a set is enriched for association signal.

Topics
Post-GWAS
Related
Genome-Wide Association Study (GWAS) Multiple Testing Correction Variant Annotation

Why it matters in GWAS

It can implicate biological processes when single-variant signals are dispersed and highlights genes with modest individual effects that share function.

Example usage

"Pathway Analysis was used to harmonize feature labels before enrichment and downstream interpretation."

Genome-Wide Association Study (GWAS) Multiple Testing Correction Variant Annotation
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

  • Watanabe K, et al. (2017). A global overview of pleiotropy and genetic architecture in complex traits. Nat Genet.
  • GWASTutorial: Gene / Gene-set tests by MAGMA.
← Pathogenicity PCR amplification →

Last updated (UTC · Git history)