Article

Leveraging pleiotropy to improve genetic risk prediction across diseases

2025-06-16

Abstract excerpt

<h4>Background</h4> Polygenic scores (PGSs) have shown promise in predicting disease risk, but their predictive accuracy remains limited for many complex diseases. Leveraging the shared genetic architecture among correlated traits may improve prediction performance. <h4>Methods</h4> We developed a flexible framework for constructing multi-trait PGSs by integrating candidate PGSs (N=2,651) derived from publicly ava...

Topics

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

Identifiers and source

Literature Corpus work: af4464c4-f10f-5d08-83f9-6f0697d4a368
DOI: 10.1101/2025.06.16.25329688

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Leveraging pleiotropy to improve genetic risk prediction across diseasesDOI 10.1101/2025.06.16.25329688Read

Leveraging pleiotropy to improve genetic risk prediction across diseases.Semantic proximity Read

Integrative polygenic risk score improves the prediction accuracy of complex traits and diseasesSemantic proximity Read

Integrative polygenic risk score improves the prediction accuracy of complex traits and diseasesSemantic proximity Read

Polygenic risk score portability for common diseases across genetically diverse populationsSemantic proximity Read

Optimization of Multi-Ancestry Polygenic Risk Score Disease Prediction ModelsSemantic proximity Read

Polygenic risk score portability for common diseases across genetically diverse populations.Semantic proximity Read

Integration of risk factor polygenic risk score with disease polygenic risk score for disease prediction.Semantic proximity Read

Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction.Semantic proximity Read

Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations.Semantic proximity Read

Bridging traditional risk factors and genetic insights: A review on polygenic risk scores in cardiovascular diseasesSemantic proximity Read

A linear weighted combination of polygenic scores for a broad range of traits improves prediction of coronary heart disease.Semantic proximity Read

Polygenic risk vectors (PRV) improve genetic risk stratification for cardio-metabolic diseasesSemantic proximity Read