Evaluation of polygenic risk scores for predicting breast and prostate cancer risk.
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ABSTRACT: Recently, polygenic risk scores (PRS) have been shown to be associated with certain complex diseases. The approach has been based on the contribution of counting multiple alleles associated with disease across independent loci, without requiring compelling evidence that every locus had already achieved definitive genome-wide statistical significance. Whether PRS assist in the prediction of risk of common cancers is unknown. We built PRS from lists of genetic markers prioritized by their association with breast cancer (BCa) or prostate cancer (PCa) in a training data set and evaluated whether these scores could improve current genetic prediction of these specific cancers in independent test samples. We used genome-wide association data on 1,145 BCa cases and 1,142 controls from the Nurses'
SUBMITTER: Machiela MJ
PROVIDER: S-EPMC4089860 | biostudies-literature | 2011 Sep
REPOSITORIES: biostudies-literature
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