Prostate Cancer PRS

PRS Prostate Cancer Analyzer for VCF risk percentile reporting.

This client sends a .vcf or .vcf.gz file to the backend, starts a job, tracks progress, and renders the PRS results grouped by study.

What this platform does

Research-oriented genomic interpretation.

Polygenic risk scores

A PRS combines many common genetic variants into a single model-based score. In this report, the percentile tells you where the sample falls relative to the reference population used by each study model.

Cross-study comparison

Different studies can disagree because they use different populations, variant sets, and statistical weights. This interface shows that disagreement instead of hiding it.

Functional follow-up

When available, the report also adds monogenic panel findings and AlphaGenome-based functional notes to help explain which signals may deserve closer attention in research.

How the PRS is calculated

Step-by-step overview of the scoring workflow.

How PRS is Calculated

Watch the animation...

How to read the report

Short guide to the main outputs.

Percentile

A higher percentile means the sample ranks higher within the reference distribution used by that specific PRS model. It is a comparative position, not a diagnosis.

Z-score

The study-level z-score reflects how far the sample's PRS sits from the model's reference average. Larger absolute values mean a more extreme score within that study.

Variant z-score

Variant-level z-scores indicate which matched variants contributed most strongly to the final PRS in a given study. They are contribution measures, not p-values.

AlphaGenome

AlphaGenome outputs are model-based functional predictions. They can help prioritize biologically interesting signals, but they are not clinical proof on their own.

Method summary

What happens after upload.

  1. Your VCF is normalized and matched against curated PRS study files compatible with the detected genome build.
  2. Each PRS model is scored separately, then converted into a percentile relative to its own study reference distribution.
  3. The backend highlights the strongest contributing variants, runs the configured monogenic panel, and optionally adds AlphaGenome notes.
  4. An English PDF report is generated for research interpretation and download.

PRS study references

Core score models currently included in the platform.

Jia G et al. JNCI Cancer Spectr (2020)
PGS000719 | PRS_Prostate | Trait: Prostate cancer
Open PGS Catalog entry
Karunamuni RA et al. Prostate Cancer Prostatic Dis (2021)
PGS000742 | PHS166 | Trait: Prostate cancer
Open PGS Catalog entry
Wang AW et al. Nature Genetics (2023)
PGS003765 | GRS.PCa.451 | Trait: Prostate cancer
Open PGS Catalog entry
Kim ES et al. NPJ Precis Oncol (2023)
PGS004251 | PRS125_prostate | Trait: Prostate cancer
Open PGS Catalog entry

Contact

Questions, collaboration, or feedback.

Research and technical contact

If you want to discuss methodology, report wording, or possible improvements to the platform, you can get in touch directly.

Email delgadoluisjavier1@gmail.com Scope

Research collaboration, bug reports, feature requests, and clarification about generated reports.