Power and predictive accuracy of polygenic risk scores.
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ABSTRACT: Polygenic scores have recently been used to summarise genetic effects among an ensemble of markers that do not individually achieve significance in a large-scale association study. Markers are selected using an initial training sample and used to construct a score in an independent replication sample by forming the weighted sum of associated alleles within each subject. Association between a trait and this composite score implies that a genetic signal is present among the selected markers, and the score can then be used for prediction of individual trait values. This approach has been used to obtain evidence of a genetic effect when no single markers are significant, to establish a common genetic basis for related disorders, and to construct risk prediction models. In some cases, however,
SUBMITTER: Dudbridge F
PROVIDER: S-EPMC3605113 | biostudies-literature | 2013 Mar
REPOSITORIES: biostudies-literature
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