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◇ medRxiv2026-08-11· genetic and genomic medicine

A unified framework for local-ancestry-aware genetic association analysis across biobanks

L. Hu, T. Tan, K. Yuan, Y. Wang, B. L. Gorissen, Y.-S. Lin, P. Kore, W. Lu, R. Mandla, Z. Shi, K. Hou, K. J. Karczewski, H. Huang, B. M. Neale, M. J. Daly, A. R. Martin, B. Pasaniuc, E. G. Atkinson, W. Zhou

原始摘要(英文原文)· Original abstract
Biobanks increasingly include individuals with admixed genomes, yet conventional genome-wide association study frameworks either exclude participants who cannot be confidently assigned to a discrete ancestry group or ignore ancestry-specific effects. We present FELIX, a scalable framework for local-ancestry-aware genetic analysis that retains all participants without requiring discrete ancestry assignment. FELIX combines a compact ancestry-resolved genotype representation (FELIXla) with an adaptive association test that jointly evaluates shared-effect and ancestry-specific models at each variant (FELIXassoc). Simulations demonstrated well-calibrated inference under case-control imbalance and power that adapted to the locus-optimal model. Across 24 phenotypes in 240,038 All of Us participants, FELIX analyzed the 12.1% of individuals excluded by global-ancestry clustering and identified 15.4% more genome-wide significant loci than global-ancestry meta-analysis. Additional discoveries arose from recovering ancestry-specific haplotypes carried by admixed participants and from detecting ancestry-dependent marginal effects. Full-cohort effect estimates also improved polygenic score prediction across ancestries and traits.
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