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Statistical genetics


Admission Requirements

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.

Course objectives

  • 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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For more information, watch the video or go the the 'help-page' in MyTimetable. Please note: Joint Degree students Leiden/Delft have to merge their two different timetables into one. This video explains how to do this.

Mode of Instruction

Lectures, practicals, and two assignments

Assessment method

  • Obligatory computer practicals

  • Oral examination

Reading List

  • Book “The Fundamentals of Modern Statistical Genetics”, Laird and Lange, Springer 2011 (L1 - L11)

  • Book “Phenotypes and Genotypes“, Frommlet, Bogdan, and Ramsey, Springer 2016


From the academic year 2022-2023 on every student has to register for courses with the new enrollment tool MyStudyMap. There are two registration periods per year: registration for the fall semester opens in July and registration for the spring semester opens in December. Please see this page for more information.

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Stefan Böhringer, email: