ArticleNature genetics2026
Multiancestry conditional and joint analysis applied to GWAS summary statistics.
Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
6 authors.
Funding
Abstract
Conditional and joint (COJO) analysis of genome-wide association study (GWAS) data is a standard post-GWAS analysis for identifying statistically independent associations. Although GWAS meta-analyses are increasingly conducted across multiple ancestry groups, the optimal strategy for multiancestry COJO analysis remains unclear. Here we introduce Manc-COJO, a method for multiancestry COJO analysis. Simulations and real-data analyses show that Manc-COJO improves detection of independent association signals while reducing false positives compared with single-ancestry COJO implemented in genome-wide complex trait analysis (GCTA) and its ad-hoc multiancestry adaptations. We also introduce Manc-COJO:FIX, a follow-up algorithm to identify ancestry-specific independent associations. The C++ implementation of Manc-COJO is over 120-fold faster than GCTA-COJO and supports linkage disequilibrium references derived from either individual-level genotype data or pre-computed matrices, facilitating analyses when data sharing is limited.
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Registered trials
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