Course level

Postgraduate Coursework

Faculty

Science

School

Mathematics & Physics School

Units

2

Duration

One Semester

Delivery mode

Internal

Class contact

2 Lecture hours, 2 Practical or Laboratory hours

Prerequisite

STAT2004 or STAT2203 or STAT7203 or a minimum grade of 5 in STAT7174 or equivalent

Assessment methods

Essay, presentation, project reports and examination.

Course coordinator

Dr Florian Rohart - f.rohart@uq.edu.au

Current course offerings

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