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Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two
Lars G Fritsche1, Snehal Patil2, Lauren J Beesley3
1Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA; Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA; Center for Precision Health Data Science, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA; University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA.
A new online repository offers polygenic risk scores (PRSs) for 35 cancer types, integrating diverse genome-wide association studies data. This resource aids PRS research and cancer risk prediction.
Area of Science:
- Genetics
- Genomics
- Cancer Research
Background:
- Polygenic risk scores (PRSs) are crucial for understanding genetic contributions to complex diseases like cancer.
- Integrating diverse genome-wide association studies (GWASs) data is essential for robust PRS development.
- A centralized resource for cancer-related PRSs is needed to facilitate research and clinical translation.
Purpose of the Study:
- To develop and present an integrated online repository of polygenic risk scores (PRSs) for 35 common cancer traits.
- To provide a platform for accessing and evaluating PRSs derived from multiple GWASs summary statistics sources.
- To accelerate polygenic risk score research and application in cancer by facilitating collaboration and data accessibility.
Main Methods:
- Compiled GWASs summary statistics from published studies, NHGRI-EBI GWAS Catalog, and UK Biobank.
- Constructed PRSs using linkage disequilibrium pruning/p-value thresholding and penalized, genome-wide effect size weighting.
- Evaluated PRS predictive performance and discrimination in the Michigan Genomics Initiative (MGI) and UK Biobank (UKB) cohorts.
Main Results:
- An extensive PRS repository for 35 cancer traits was created, integrating data from multiple GWASs sources.
- PRSs were evaluated for predictive performance and discrimination in independent biobanks (MGI and UKB).
- The Cancer-PRSweb platform offers PRS downloads and phenome-wide association study (PheWAS) results for predictive PRSs.
Conclusions:
- The Cancer-PRSweb platform provides a valuable, integrated resource for polygenic risk score research in cancer.
- This repository facilitates PRS development, evaluation, and application, potentially accelerating cancer risk prediction and prevention strategies.
- The platform supports scientific collaboration and advances the use of PRSs in understanding cancer genetics.
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