Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Polygenic risk scores improve CAD risk prediction in individuals at borderline and intermediate clinical risk

1 May 2025

Abstract excerpt

Polygenic risk scores (PRSs) can improve clinical risk tools for coronary artery disease (CAD). This study assessed a risk model integrating PRS across populations, focusing on individuals with borderline/intermediate clinical risk. We developed ancestry-specific ensemble models combining multi-ancestry PRSs for CAD and type 2 diabetes. The cross-ancestry PRS (caPRS) was integrated with the Pooled Cohort...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Colorectal Cancer Screening and Detection
Share to Genetic Associations and Epidemiology
Share to Health Systems, Economic Evaluations, Quality of Life

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 41775875
DOI: 10.1038/s44325-025-00049-7

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Polygenic risk scores improve CAD risk prediction in individuals at borderline and intermediate clinical riskPMID 41775875Read ↗

A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease.Semantic 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 ↗

Polygenic score informed by genome-wide association studies of multiple ancestries and related traits improves risk prediction for coronary artery diseaseSemantic proximity Read ↗

Polygenic risk score refines cardiovascular disease risk in individuals with type 2 diabetes at borderline or intermediate risk.Semantic proximity Read ↗

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

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

Polygenic risk and incident coronary heart disease in a large multiethnic cohortSemantic proximity Read ↗

Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease.Semantic proximity Read ↗

Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups.Semantic proximity Read ↗

Meta-Prediction of Coronary Artery Disease RiskSemantic proximity Read ↗

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

⌁Select a neighboring publication to make it the new centre.