Course level

Undergraduate

Faculty

Science

School

Mathematics & Physics School

Units

2

Duration

One Semester

Class contact

2 Lecture hours, 2 Practical or Laboratory hours

Prerequisite

STAT2004 or STAT2203 or equivalent.

Assessment methods

Project reports and examinations.

Course coordinator

Dr Allan McRae

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