Statistics and probability
Linear & generalized linear models and linear algebra
Statistical computing with R
Statistical genetics is an important topic within the Life and Behavioral Sciences. The structure within families (pedigrees) and the dependency structure between genetic markers at the genome require specific statistical models and software packages for analysis. The topics addressed during this course will be: estimation of heritability, detecting new genetic factors using genome wide linkage and association studies, the analysis of candidate genes, data bases such as Hapmap. Data sets from human genetics and from animal and plant breeding will be analyzed.
Basic methods of human linkage analysis
Analysis and interpretation of human genome wide data for association studies
Design and analysis of breeding experiments in plant and animal genetics
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Mode of Instruction
Lectures, practicals, and two assignments
Obligatory computer practicals
Book “The Fundamentals of Modern Statistical Genetics”, Laird and Lange, Springer 2011 (L1 - L11)
Book “Phenotypes and Genotypes“, Frommlet, Bogdan, and Ramsey, Springer 2016
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Stefan Böhringer, email: firstname.lastname@example.org