Statistical Analysis of Genetic Data (STAT7306)
Information valid for Semester 2, 2025
Course level
Postgraduate Coursework
Faculty
School
Mathematics & Physics School
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Lecture 2 Hours/ Week
Applied Class 2 Hours/ Week
Incompatible
STAT3306 (co-taught)
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 enquiries
Doctor Jian Zeng (Semester 2, Regular, St Lucia, In person)
Dr Jian Zeng
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | 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.
