Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.

A hypothesis behind our approach is that although the impact of individual SNP on an endpoint is small, combining contributions of highly significant SNPs and those that are relatively weakly significant into a robust model can improve the capability of the model in predicting the risk of the endpoint.

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