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XMAP

Definition
AI-generated

XMAP is a cross-population fine-mapping method that uses genetic diversity across ancestries and explicit modeling of confounding to refine causal variant evidence within a locus, complementing single-ancestry fine-mapping and multi-ancestry SuSiE-type approaches.

Topics
Population genetics GWAS
Related
Cross-Population Effect Heterogeneity Fine-Mapping Linkage Disequilibrium (LD)

Why it matters in GWAS

Where LD differs between populations, trans-ancestry information can break alternative explanations that remain ambiguous in one panel—supporting the broader theme that diverse reference and study data improve resolution of association signals.

Example usage

"We compared single-ancestry SuSiE credible sets with XMAP using European and African ancestry summary statistics and matched LD references."

Cross-Population Effect Heterogeneity Fine-Mapping Linkage Disequilibrium (LD) Multi-Ancestry Fine-Mapping Sum of Single Effects Model (SuSiE)
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References

  • Cai M, et al. (2023). XMAP: cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias. Nat Commun.
  • 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
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