Course level





Mathematics & Physics School




One Semester

Delivery mode


Class contact

2 Lecture hours, 2 Practical or Laboratory hours


STAT2004 or STAT2203 or equivalent.

Assessment methods

Project reports and examinations.

Course coordinator

Dr Florian Rohart -

Current course offerings

Course offerings Location Mode Course Profile
Semester 2, 2019 St Lucia Internal Profile unavailable

Please Note: Course profiles marked as not available may still be in development.

Course description

This course teaches the why and how of statistical methods and their computer applications to analyse genome-wide genetic data and phenotypes on large numbers of individuals. Genetic data sets are usually large comprising thousands of individuals. Examples of typical genetic data sets include phenotypic records with a recorded pedigree structure of relationships between individuals or disease cases and controls with DNA polymorphisms measured at millions of locations in the genome. Major topics include: linear mixed models for estimation and prediction, genome-wide association studies, multiple trait analyses. The course focusses on applications in human and livestock genetics and genomics. There is a strong element of hands-on analyses of real-world datasets using R and GCTA.

Archived offerings

Course offerings Location Mode Course Profile
Semester 2, 2018 St Lucia Internal Course Profile
Semester 2, 2017 St Lucia Internal Course Profile