Fig. 1: XMAP overview. | Nature Communications

Fig. 1: XMAP overview.

From: XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias

Fig. 1

XMAP takes the summary statistics and reference genotypes from multiple populations as inputs. XMAP can improve the statistical power of fine-mapping by leveraging the distinct LD pattern across populations while reducing false positives by accounting for confounding bias in GWAS summary statistics. Paired with a fast algorithm, XMAP is able to efficiently identify multiple causal signals. The fine-mapped SNPs can be integrated with single-cell datasets to identify trait-relevant cells.

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