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Article

Bridging ancestry gaps in genomic risk prediction with tabular foundation models.

Bioinformatics (Oxford, England) - 1 Jul 2026

Das Anirban, Cui Yan

Abstract excerpt

MOTIVATION: Models deployed for genomic prediction of diseases perform unevenly across populations, limiting clinical utility. Two factors drive this limitation: large imbalances in sample availability across ancestry groups and non-stationarity of genotype-phenotype effect sizes across the ancestry continuum. While tabular foundation models with in-context learning (ICL) have shown strong sample efficiency in...

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PMID: 42412803
DOI: 10.1093/bioinformatics/btag217
PMCID: PMC13340263

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