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 struc-
ture 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
Mode of Instruction
Lectures, practicals, and two assignments
See the Leiden University students' website for the Statistics and DataScience programme.
Book “The Fundamentals of Modern Statistical Genetics”, Laird and Lange, Springer
2011 (L1 - L11)
Book “Phenotypes and Genotypes“, Frommlet, Bogdan, and Ramsey, Springer 2016
Enroll in Usis for the course materials and course updates.
To be able to obtain a grade and the EC for the course, sign up for the (re-)exam in uSis ten calendar days before the actual (re-)exam will take place. Note, the student is expected to participate actively in all activities of the program and therefore uses and registers for the first exam opportunity.
Exchange and Study Abroad students, please see the Prospective students website for information on how to apply.
Stefan Böhringer, email: email@example.com
Visiting Address: Department of Biomedical Data Sciences, Section Medical Statistics and Bioinformatics, Leiden University Medical Center, Einthovenweg 20, 2333 ZC Leiden, The Netherlands