Skip to content

Joint Fine-Mapping

Definition
AI-generated

Joint fine-mapping analyzes association signals for two or more traits in the same locus simultaneously—using shared summary statistics, correlated priors, or multi-trait Bayes factors—to narrow credible sets and assess whether traits share causal variants.

Topics
Post-GWAS
Related
PAINTOR Credible Set SuSiE

Why it matters in GWAS

Pleiotropic loci often involve multiple correlated traits; joint modeling borrows strength across traits and can improve resolution over separate single-trait fine-mapping.

Example usage

"We applied joint fine-mapping of BMI and WHR to obtain a smaller credible set at the chromosome 1 locus."

PAINTOR Credible Set SuSiE Colocalization Fine-Mapping Multi-Trait GWAS Pleiotropy Dissection
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

  • Jee J, et al. (2026). The pleiotropic landscape of the human genome. Nat Rev Genet. https://doi.org/10.1038/s41576-025-00908-0
  • Schaid DJ, et al. (2018). From genome-wide associations to candidate causal variants.
← Jackknife Joint genotyping →

Last updated (UTC · Git history)