Article

Bridging Ancestry Gaps in Genomic Risk Prediction with Tabular Foundation Models

2026-06-02

Abstract excerpt

<h4>Motivation</h4> 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 efficien...

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Literature Corpus work: 38256d83-e763-5eaf-9129-1274d9a66a61
DOI: 10.64898/2026.05.29.728877

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