Abstract
What causes variation in prediction accuracy and underlying pathoetiology is key to precision medicine but cannot be resolved by population level estimates. The types of genetic effects that can define subgroups not represented by population-level estimates include non-additive gene–gene and gene-environment interactions and genetic heterogeneity. Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach.
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