The work presented in this thesis can be divided into two components: a methodological development component and a practical application component. Having presented the general introduction in PART 1, we present the methodological aspects of the thesis in PART 2, consisting of 3 chapters. In chapter 1, we investigate the power of MB-MDR to detect gene–
gene interactions in the absence or presence of error sources or noise (including genotyping errors, missing genotypes, phenotypic mixtures and genetic heterogeneity). In Chapter 2, we assess the performance of different corrective measures for lower-order genetic effects in MB-MDR epistasis detection. In Chapter 3, we evaluate the cumulative effect of deviations from normality and homoscedasticity on the overall performance of MB-MDR giving leads on the importance of adhering to general assumptions related to the implemented tests for association. We present practical applications in PART 3. In PART 4, we give a general discussion and future perspectives. Lastly, PART 5 presents a short curriculum vitae and the list of publications related to the author of this thesis.
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