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Fine-Mapping

Definition
AI-generated

Fine-mapping uses statistical or functional evidence to prioritize likely causal variants within associated loci.

Topics
Population genetics
Related
Causal Configuration CARMA Fine-Mapping Credible Set

Why it matters in GWAS

It helps move from broad association signals toward biological interpretation and target discovery.

Example usage

"Fine-mapping reduced the 95% credible set from 42 variants to 4 candidates."

Causal Configuration CARMA Fine-Mapping Credible Set FINEMAP Fine-Mapping from Summary Statistics Functional Fine-Mapping Global-Local Shrinkage Prior Model Space PAINTOR Variational Inference (VI) SLALOM SuSiE SuSiE-inf TWAS Fine-Mapping XMAP Multi-Ancestry Fine-Mapping Colocalization Conditional Association Analysis Joint Fine-Mapping Linkage Disequilibrium (LD) LiftOver Transcriptome-Wide Association Study (TWAS) Variant Annotation Genome-Wide Association Study (GWAS)
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

  • Li Z, Zhou X. (2025). Towards improved fine-mapping of candidate causal variants. Nat Rev Genet. https://doi.org/10.1038/s41576-025-00869-4
  • Schaid DJ, et al. (2018). From genome-wide associations to candidate causal variants.
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