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Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks

机译:癌症PRSWEB:一个在线储存库具有多种癌症性状的多种癌症特征及其在两个独立的BIOBANK中的评估

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摘要

To facilitate scientific collaboration on polygenic risk scores (PRSs) research, we created an extensive PRS online repository for 35 common cancer traits integrating freely available genome-wide association studies (GWASs) summary statistics from three sources: published GWASs, the NHGRI-EBI GWAS Catalog, and UK Biobank-based GWASs. Our framework condenses these summary statistics into PRSs 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 PRSs 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 and discrimination. Besides PRS evaluation, the Cancer-PRSweb platform features construct downloads and phenome-wide PRS association study results (PRS-PheWAS) for predictive PRSs. We expect this integrated platform to accelerate PRS-related cancer research.
机译:为了促进科学合作对多基因风险分数(PRS)研究,我们在三种来源中集成了一项广泛的35种常见癌症特征的广泛PRS在线储存库(GWASS)总结统计数据:出版了Gwass,Nhgri-Ebi Gwas目录和英国Biobank的Gwass。我们的框架利用各种方法将这些汇总统计信息融入了PRSS,如连锁不平衡修剪/ P值阈值阈值(固定或数据适应性优化阈值)和惩罚,基因组宽效果尺寸加权。我们评估了两种生物人物的PRS:密歇根基因组学倡议(MGI),密歇根州医学的纵向生物养老努力以及基于人口的英国BioBank(UKB)。对于每个PRS构建,我们提供了关于预测性能和歧视的措施。除了PRS评估外,癌症 - PRSWEB平台还具有构建下载和苯胺 - 范围的PRS关联研究结果(PRS-PPEMAS),用于预测性PRS。我们预计这一综合平台将加速相关的PRS相关癌症研究。

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