Article

Vector2Variant: Discovery of Genetic Associations from ML Derived Representations without Phenotype Engineering

2026-04-14

Abstract excerpt

Genome-wide association studies (GWAS) have transformed our understanding of human biology, but are constrained by the need for predefined phenotypes. We introduce Vector2Variant (V2V), a general-purpose framework that transforms any set of high-dimensional measurements (such as machine learning embeddings) into a genome-wide scan for associations, without requiring rigid specification of a phenotype. Rather than...

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Literature Corpus work: 3985898e-23e4-5a9d-a2a9-62dbdb19d04d
DOI: 10.64898/2026.04.10.26350624

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