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SNPic: SNP Topic Modeling for Interpretable Clustering of Complex Phenotypes

2026-04-24

Abstract excerpt

Genome-wide association studies (GWAS) have cataloged thousands of disease-associated variants, yet a central challenge remains: decoding the shared, pleiotropic architecture that links complex phenotypes. Existing approaches, including dimensionality reduction methods and regression genetic models, either lack interpretability or rely on external linkage disequilibrium (LD) reference panels, limiting their abilit...

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Literature Corpus work
6880909d-2a74-53ba-aba2-f1c2a8705d25
DOI
10.64898/2026.04.22.720106
Open publication

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SNPic: SNP Topic Modeling for Interpretable Clustering of Complex PhenotypesDOI 10.64898/2026.04.22.720106
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