Article
Genetic background shapes AI-predicted variant effects
2026-04-07
Abstract excerpt
<h4>ABSTRACT</h4> Predicting the consequences of genetic variants remains a major goal in biomedicine. Conventional approaches typically assess single-nucleotide variants in the context of a single reference genome, without accounting for genetic diversity that can modulate variant effects. Here we introduce the personalized variant effect predictor (pVEP) framework, which quantifies how genetic background across...
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Identifiers and source
- Literature Corpus work
- bf65d65e-90aa-51d9-a154-4ece94546046
- DOI
- 10.64898/2026.04.04.715328
