TY - JOUR T1 - Cancer PRSweb – an Online Repository with Polygenic Risk Scores (PRS) for Major Cancer Traits and Their Phenome-wide Exploration in Two Independent Biobanks JF - bioRxiv DO - 10.1101/2020.01.22.915751 SP - 2020.01.22.915751 AU - Lars G. Fritsche AU - Snehal Patil AU - Lauren J. Beesley AU - Peter VandeHaar AU - Maxwell Salvatore AU - Robert B. Peng AU - Daniel Taliun AU - Xiang Zhou AU - Bhramar Mukherjee Y1 - 2020/01/01 UR - http://biorxiv.org/content/early/2020/01/24/2020.01.22.915751.abstract N2 - To facilitate scientific collaboration on polygenic risk scores (PRS) research, we created an extensive PRS online repository for 49 common cancer traits integrating freely available genome-wide association studies (GWAS) summary statistics from three sources: published GWAS, the NHGRI-EBI GWAS Catalog, and UK Biobank-based GWAS. Our framework condenses these summary statistics into PRS using various approaches such as linkage disequilibrium pruning / p-value thresholding (fixed or data-adaptively optimized thresholds) and penalized, genome-wide effect size weighting. We evaluated the PRS in two biobanks: the Michigan Genomics Initiative (MGI), a longitudinal biorepository effort at Michigan Medicine, and the population-based UK Biobank (UKB). For each PRS construct, we provide measures on predictive performance, calibration, and discrimination. Besides PRS evaluation, the Cancer-PRSweb platform features construct downloads and phenome-wide PRS association study results (PRS-PheWAS) for predictive PRS. We expect this integrated platform to accelerate PRS-related cancer research. ER -