Article

Polygenic prediction of treatment efficacy with causal transfer learning

2025-10-17

Abstract excerpt

Therapeutic interventions often exhibit heterogeneous treatment effects (HTE) across individuals. A central goal of precision medicine is to enable personalized treatment recommendations based on patients’ measurable characteristics. Identifying factors that explain HTE is therefore essential. However, detecting HTE remains challenging due to limited sample size in randomized controlled trials (RCTs), often-missin...

Topics

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

Identifiers and source

Literature Corpus work: 98b73e67-f28a-5c43-a9b8-f107352e2611
DOI: 10.1101/2025.10.15.25338051

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Polygenic prediction of treatment efficacy with causal transfer learningDOI 10.1101/2025.10.15.25338051Read

Improving Polygenic Risk Score Based Drug Response Prediction Using Transfer LearningSemantic proximity Read

Characterizing the genetic architecture of drug response using gene-context interaction methods.Semantic proximity Read

Characterizing the genetic architecture of drug response using gene-context interaction methodsSemantic proximity Read

Machine Learning to Advance Human Genome‐Wide Association StudiesSemantic proximity Read

MRBEE-TL: improving causal effect estimation in multi-ancestry multivariable Mendelian randomization with transfer learning.Semantic proximity Read

Transfer Learning for Mendelian Randomization with Pleiotropic and Correlated High-Dimensional Exposures and Its Application to Trans-ethnic PopulationsSemantic proximity Read

Separating the genetics of disease, treatment and treatment response using graphical modeling and large-scale electronic health recordsSemantic proximity Read

Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health research.Semantic proximity Read

Policy gradient-guided ensemble learning for enhanced polygenic risk prediction in ultra-high-dimensional genomicsSemantic proximity Read

Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health researchSemantic proximity Read

SparsePro: An efficient fine-mapping method integrating summary statistics and functional annotations.Semantic proximity Read

Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis.Semantic proximity Read