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Colocalization

Definition
AI-generated

Colocalization tests whether two association signals (e.g. a GWAS trait and an eQTL in the same region) plausibly share the same causal variant, often by comparing posterior probabilities over causal configurations in a locus (e.g. coloc, eCAVIAR).

Topics
Post-GWAS
Related
eCAVIAR Expression Quantitative Trait Locus (eQTL) Fine-Mapping

Why it matters in GWAS

Strong colocalization supports sharing of molecular mechanism between a trait and gene regulation, prioritizing genes at GWAS loci for follow-up.

Example usage

"Colocalization analysis supported a shared causal signal between the GWAS locus and the cis-eQTL peak."

eCAVIAR Expression Quantitative Trait Locus (eQTL) Fine-Mapping Single-Cell Expression Quantitative Trait Locus (sc-eQTL) Joint Fine-Mapping Linkage Disequilibrium (LD) Pleiotropy Dissection Transcriptome-Wide Association Study (TWAS)
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

  • Giambartolomei C, et al. (2014). Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet.
  • GWASTutorial: Colocalization.
← Collider Bias Combined Annotation Dependent Depletion (CADD) →

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