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Updated: Aug 25, 2025

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis
Aino Siltari1, Ragnar Lönnerbro2, Karl Pang3
1Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Faculty of Medicine, Pharmacology, University of Helsinki, Helsinki, Finland.
Polygenic risk scores (PRS) show modest ability in predicting prostate cancer (PCa) risk alone. Combining PRS with clinical data significantly improves PCa risk prediction accuracy in Caucasian men.
Area of Science:
- Genetics
- Oncology
- Epidemiology
Background:
- Genome-wide association studies have identified over 200 genetic loci associated with prostate cancer (PCa) susceptibility.
- Polygenic risk scores (PRS) aggregate these loci to predict an individual's PCa risk.
Conclusions:
- Polygenic risk scores alone offer mediocre performance for prostate cancer risk prediction, comparable to PSA or family history.
- The combination of PRS with clinical variables significantly enhances the prediction of prostate cancer risk.
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