Bayesian inference of genetic pleiotropy identifies drug targets and repurposable medicines for human complex diseases

Abstract excerpt

<h4>Summary</h4> Complex diseases share heritable components which can be leveraged to identify drug targets with low side effect or high repurposing potential, but current methods cannot efficiently make these inferences at scale using public data. We introduce a Bayesian model to estimate the polygenic structure of a trait using GWAS summary data (BPACT). Across 32 complex traits, we estimated that 69.5 to 97.5%...

Topics

Open a Topic to create a Post that cites this publication.

• Bayes Theorem
• Disease
• Genetic Diseases, Inborn
• Genetic Variation
• Genome-Wide Association Study
• Models, Genetic
• Polymorphism, Single Nucleotide
• Quantitative Trait, Heritable

Identifiers and source

Literature Corpus work

0f014685-b9fa-5b3f-afb4-771f3d0d433a

DOI

10.1101/2025.03.17.25324106