Discover Community Create You

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

Enhancing polygenic risk prediction by modeling quantile-specific genetic effects.

Scientific reports - 6 Apr 2026

Kim Suin, Goo Taewan, Park Taesung, Park Mira

Abstract excerpt

Polygenic risk scores (PRSs) quantify an individual's genetic susceptibility to complex traits and diseases. Conventional PRSs, which are based on linear models, perform poorly for phenotypes with skewed distributions or with genetic effects that vary across the distribution. We propose a quantile regression-based PRS (QPRS) that can capture quantile-specific genetic effects. While existing PRSs provide only a...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Genetic Risk Score
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Multifactorial Inheritance

Share to Polymorphism, Single Nucleotide

Share to Prediction Algorithms

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 41942696
DOI: 10.1038/s41598-026-47082-9
PMCID: PMC13061970

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Enhancing polygenic risk prediction by modeling quantile-specific genetic effects.PMID 41942696Read ↗

Enhancing Polygenic Risk Prediction by Modeling Quantile-Specific Genetic EffectsSemantic proximity Read ↗

Beyond predictive R2: Quantile regression and non-equivalence tests reveal complex relationships of traits and polygenic scores.Semantic proximity Read ↗

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

XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis.Semantic proximity Read ↗

Prediction of Polygenic Risks by Screening Thousands of Polygenic ScoresSemantic proximity Read ↗

Genome-wide discovery for biomarkers using quantile regression at biobank scale.Semantic proximity Read ↗

Statistical genetics and polygenic risk score for precision medicineSemantic proximity Read ↗

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

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

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

Quantile Regression for biomarkers in the UK BiobankSemantic proximity Read ↗

Exploring the predictive power of polygenic scores derived from genome-wide association studies: a study of 10 complex traits.Semantic proximity Read ↗

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