Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26929
Title: The impact of correlated genetic markers on large-scale DNA-based gene-gene interaction studies
Authors: Joiret, Marc
Advisors: SHKEDY, Ziv
VAN STEEN, Kristel
Issue Date: 2018
Publisher: tUL
Abstract: Master thesis in Biostatistics - specialization in Bioinformatics. Title : The impact of correlated genetic merkers on large scale DNA-based gene-gene interaction studies. Author : Marc Joiret Supervisors : Prof. Ziv Shkedy, Prof. Kristel Van Steen. The performances of MB-MDR (model based multifactor dimensionality reduction) in detecting gene-gene interaction in genome wide association studies is poorly documented in the literature. In this work, we aimed at building different simulated datasets harboring known hidden pairs of epistatic genetic markers. The objective is to use these simulated datasets to measure the power of MB-MDR in different configurations of the embedded hidden pair of markers. Two main concerns in building the simulation datasets require to incorporate realistic human genome linkage disequilibrium patterns and to control population stratification because both confound gene-gene interaction effect on the phenotype (trait or disease).
Notes: Master of Statistics-Bioinformatics
Document URI: http://hdl.handle.net/1942/26929
Category: T2
Type: Theses and Dissertations
Appears in Collections:Master theses

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