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

Assessment of polygenic risk score performance in East Asian populations for ten common diseases

5 Mar 2025

Abstract excerpt

Polygenic risk score (PRS) uses genetic variants to assess disease susceptibility. While PRS performance is well-studied in Europeans, its accuracy in East Asians is less explored. This study evaluated PRSs for ten diseases in the Health Examinees (HEXA) cohort (n = 55,870) in Korea. Single-population PRSs were constructed using PRS-CS, LDpred2, and Lassosum based on East Asian GWAS summary statistics (sample...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Associations and Epidemiology
Share to Lipid metabolism and disorders
Share to Liver Disease Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40045046
DOI: 10.1038/s42003-025-07767-9

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

Assessment of polygenic risk score performance in East Asian populations for ten common diseasesPMID 40045046Read ↗

Assessment of polygenic risk score performance in East Asian populations for ten common diseases: A Korean cohort studySemantic proximity Read ↗

Evaluation of optimal methods and ancestries for calculating polygenic risk scores in East Asian population.Semantic proximity Read ↗

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

Polygenic risk score portability for common diseases across genetically diverse populationsSemantic 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 ↗

Evaluation of optimal methods and ancestries for calculating polygenic risk scores in East Asian populationSemantic proximity Read ↗

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

A comprehensive investigation of statistical and machine learning approaches for predicting complex human diseases on genomic variants.Semantic proximity Read ↗

A comprehensive investigation of statistical and machine learning approaches for predicting complex human diseases on genomic variantsSemantic proximity Read ↗

Integrating polygenic and transcriptional risk scores improves risk prediction of nine common diseases in the underrepresented Vietnamese populationSemantic proximity Read ↗

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

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