Article

Multi-trait polygenic risk scores improve genomic prediction of atrial fibrillation across diverse ancestries

2025-10-03

Abstract excerpt

<title>Abstract</title> <p> Polygenic scores (PGSs) can improve atrial fibrillation (AF) risk prediction, both alone and alongside clinical scores, offering potential for guiding targeted screening. However, their limited accuracy and cross-ancestry transferability remain major barriers to clinical translation. Here, we explored several multi-PGS approaches to generate ancestry-optimized PGSs for AF, and tested...

Topics

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

Identifiers and source

Literature Corpus work: a65682cd-4800-5264-8159-78700a82cbf8
DOI: 10.21203/rs.3.rs-7713077/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-trait polygenic risk scores improve genomic prediction of atrial fibrillation across diverse ancestriesDOI 10.21203/rs.3.rs-7713077/v1Read

Multi-trait polygenic risk scores improve genomic prediction of atrial fibrillation across diverse ancestries.Semantic proximity Read

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

Combining clinical and polygenic risk improves stroke prediction among individuals with atrial fibrillationSemantic proximity Read

Polygenic risk scores in atrial fibrillation: Associations and clinical utility in disease prediction.Semantic proximity Read

Combining polygenic and clinical risk scores in atrial fibrillation risk prediction: Implications for population screening.Semantic proximity Read

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

Trans-ancestry genome-wide analysis of atrial fibrillation provides new insights into disease biology and enables polygenic prediction of cardioembolic riskSemantic proximity Read

Using Multi-Ancestry Polygenic Risk Scores for Coronary Artery Disease as Risk Enhancers for a 10 Year Cardiovascular Risk Assessment ToolSemantic proximity Read

A Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific OptimizationSemantic proximity Read

S4-Multi: enhancing polygenic score prediction in ancestrally diverse populationsSemantic proximity Read

Genetic analyses across cardiovascular traits: leveraging genetic correlations to empower locus discovery and prediction in common cardiovascular diseasesSemantic proximity Read

Benchmarking PRS methods for risk prediction of 36 complex traits in UK Biobank by establishment of a large-scale PRS computation platform PRS-hubSemantic proximity Read