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Dataset Information

Prediction of individual genetic risk to prostate cancer using a polygenic score.


ABSTRACT:

Background

Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer. For prostate cancer it is unknown if inclusion of genetic markers that have so far not been associated with prostate cancer risk at a genome-wide significant level will improve disease prediction.

Methods

We built polygenic risk scores in a large training set comprising over 25,000 individuals. Initially 65 established prostate cancer susceptibility variants were selected. After LD pruning additional variants were prioritized based on their association with prostate cancer. Six-fold cross validation was performed to assess genetic risk scores and optimize the number of additional variants to be includ

SUBMITTER: Szulkin R 

PROVIDER: S-EPMC7745998 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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