The Empirical Hierarchical Bayes Approach For Pathway Integration And Gene Environment Interactions In Genome Wide Association Studies
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The Empirical Hierarchical Bayes Approach for Pathway Integration and Gene-environment Interactions in Genome-wide Association Studies
Complex diseases such as cancer result from a complicated interplay of multiple genetic and environmental factors. To unveil their genetic component, the simple analysis of single-nucleotide polymorphisms (SNP) as done in genome-wide association studies (GWAS) is not sufficient. Complementary approaches considering the complexity of diseases, such as the incorporation of biological pathway information or detection of gene-environment interaction, are necessary. In this thesis we focus on an empirical hierarchical Bayes model proposed for the integration of external information into genome-w ...