Entry requirements

Entry requirements: 120 credits including Genome bioinformatics and Molecular evolution and phylogenetic analysis.

Learning outcomes

The aim of the course is to provide the student with knowledge in theory and analytical methods in population genetics and quantitative genetics. After having passed the course the student should be able to

• Solve biological problems with the help of population genetics and quantitative genetics
• Explain the principles of population genetics and quantitative genetics
• Identify relevant question formulations in population genetics and propose strategies to solve the problems
• Use previously acquired knowledge (mathematics, statistics and programming) to solve genetic problems

Content

The course begins with an introduction to genetic heritance and mendelian genetics, followed by three main parts

• The principles of population genetics: allele frequencies, spectrum of allele frequencies, linkage disequilibrium, genetic diversity and measures of diversity, Wright-Fisher model, coalescense theory, inbreeding, population structure and selection.
• Analysis of population genetics: coalescense theory and simulations, estimation of parameters (mutational and recombination rates) and neutrality tests. Examples of complex models.
• Quantitative genetics: basal models for quantitative genetics, analysis of quantitative traits, QTL and association studies, heritability.

Instruction

The teaching is done in the form of lectures, seminars and exercises (mathematical problems, analytical problems and computer exercises.

Assessment

Theory test 2 credits; seminars and exercises 3 credits. For passing the course, the student should be present in at least 80% of the seminars. All the analytical problems should be solved and the solutions presented in an written form should be given a passing grade by the teacher. The theory part is examined by a written examination.