Course overview
- Study period
- Semester 2, 2025 (28/07/2025 - 22/11/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- The Environment School
This course will provide students with a foundation for understanding the genetic basis and evolution of traits that are influenced by both genetics and the environment. In many cases, these ‘complex’ traits are controlled by large numbers of genes and their genetic study requires a specialised approach. This course covers theory, methods, and applications of quantitative genetics. With a strong emphasis on phenotypic microevolution, the course will cover the evolution of complex traits, such as life histories, morphology, complex behaviours, and disease. The course centres around the study of two fundamental relationships; the genotype-phenotype map and the phenotype-fitness map. We cover the predictive theories for evolution by natural selection and the measurement of evolvability and constraints. Approaches for genetic dissection of complex traits including Quantitative Trait Locus (QTL) and Genome-wide Association Studies (GWAS) will be covered as well as specialised approaches for inferring causal relationships such as Mendelian Randomisation. Example topics include the evolution of life histories (e.g. ageing) and trade-offs, adaptive radiations, pleiotropy and its consequences, mutation and the maintenance of genetic variation. Case studies span natural variation in wild populations through to human disease. The human genetics module is delivered by leading human geneticists from UQ's Institute for Molecular Bioscience.
Only a very small fraction of traits are controlled by a single gene. Rather, the vast majority of traits are influenced by many different mutations in the genome residing within or around literally hundreds of genes. In many cases these so called ‘complex traits’ are the exact ones we need to understand for improving human health, developing productive crops and livestock, and understanding how species can mount evolutionary responses to environmental change.ᅠ This course introduces the field of complex trait genetics and genomics from both applied and evolutionary perspectives. We will help you to develop a deep understanding and practical skills in quantitative genetic analysis.ᅠ Thanks to an explosion of DNA sequence data, facilitated through the DNA sequencing revolution, many of the significant advances currently being made in human and evolutionary genetics are in this field and it is becoming increasingly important for geneticists to have training in this area. This course will build on and extend your genetic knowledge gained in Genetics (BIOL2202). As the field of complex trait genetics is of a statistical nature, we recommend students take at least second level statistics (BIOL2006). We have a very hands-on course structure, with only one formal lecture per week and the reminder of class time spent in interactive small group tutorial and lab sessions.
Course requirements
Assumed background
Students should have completed BIOL2006 and BIOL2202 before enrolling in this course.
Prerequisites
You'll need to complete the following courses before enrolling in this one:
BIOL2202 or BIOL2902
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
BIOL2006 or BIOL2106, BIOL2201
Recommended companion or co-requisite courses
We recommend completing the following courses at the same time:
BIOL3380
Course staff
Course coordinator
Lecturer
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
This course aims to provide a foundation for understanding the genetics and evolution of traits affected by multiple genes and the environment. The emphasis will be on the genetics and evolution of complex phenotypes such as life histories, performances including behaviour, and human diseases. We cover genetic analysis from basic variance components through to the genetic dissection of complex traits using Quantitative Trait Locus (QTL) and Genome-wide association studies (GWAS). Via a strong practical component, students will also acquire hands on skills with current techniques for the genetic analysis of complex traits.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Understand the theory for the evolution of complex traits by natural selection, genetic drift and mutation
LO2.
Apply the genetic concepts of trade-offs and pleiotropy to the evolution of life histories
LO3.
Apply approaches for measuring natural selection on phenotypic traits
LO4.
Critically assess the evolutionary genetics literature
LO5.
Perform lab-based phenotypic assays
LO6.
Analyse human disease and trait mapping datasets and draw evolutionary inferences from them
LO7.
Understand theories for the maintenance of genetic variation in complex traits and how to test them.
LO8.
Perform a non-model system genome-wide association study
LO9.
Design experiments to map complex traits
Assessment
Assessment summary
Category | Assessment task | Weight | Due date |
---|---|---|---|
Examination |
In Semester exam
|
30% |
26/08/2025
During the Workshop |
Paper/ Report/ Annotation |
Major assignment
|
30% |
9/10/2025 2:00 pm |
Examination |
End of Semester exam
|
40% |
End of Semester Exam Period 8/11/2025 - 22/11/2025 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
In Semester exam
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 30%
- Due date
26/08/2025
During the Workshop
- Other conditions
- Student specific, Time limited.
Task description
This exam will consist of a 5 minute reading time plus 60 minutes exam time. Questions will require short written answers, and cover content up to and including week 5.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Exam details
Planning time | 5 minutes |
---|---|
Duration | 60 minutes |
Calculator options | (In person) Casio FX82 series only or UQ approved and labelled calculator |
Open/closed book | Closed book examination - specified written materials permitted |
Materials | Unmarked paper bilingual dictionary |
Exam platform | Paper based |
Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Major assignment
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 30%
- Due date
9/10/2025 2:00 pm
- Other conditions
- Student specific.
Task description
This short report will assess the data analysis and interpretation skills you develop over the first 7 weeks of the course, alongside your ability to understand and interpret the primary literature. Further details will be provided during the course.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted.
1. Access the Assessment folder on the course Blackboard site.
2. Check that you have the correct file - the final version of your report.
3. Upload an electronic version through the assessment Turnitin site.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 14 days. Extensions are given in multiples of 24 hours.
A maximum of 14 days extension may be permitted as feedback is released after 14 days & review of the assessment is discussed in class. Timely release of the feedback from this assessment is important as future learning material expands on ideas presented in this assessment and may be featured in the final exam.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
End of Semester exam
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 40%
- Due date
End of Semester Exam Period
8/11/2025 - 22/11/2025
- Other conditions
- Student specific, Time limited.
Task description
This will be an on-campus, closed-book, invigilated examination.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Hurdle requirements
See ADDITIONAL COURSE GRADING INFORMATION for the hurdle relating to this assessment item.Exam details
Planning time | 10 minutes |
---|---|
Duration | 120 minutes |
Calculator options | (In person) Casio FX82 series only or UQ approved and labelled calculator |
Open/closed book | Closed book examination - specified written materials permitted |
Materials | Unmarked paper bilingual dictionary |
Exam platform | Paper based |
Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
Grade | Description |
---|---|
1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 0% |
2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 30% |
3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: The minimum percentage required for this grade is: 45% |
4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 50% |
5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 65% |
6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 75% |
7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 85% |
Additional course grading information
Assessment Hurdle
In order to pass this course, you must meet the following requirements (if you do not meet these requirements, the maximum grade you will receive will be a 3):
- You must obtain 50% or more on the End of Semester exam.
Supplementary assessment
Supplementary assessment is available for this course.
Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to the UQ website for information on supplementary assessment and how to apply.
Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.
If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.
Supplementary assessment can take any form (such as a written report, oral presentation, examination or other appropriate assessment) and may test specific learning outcomes tailored to the individual student, or all learning outcomes.
To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment.
Additional assessment information
Applications for Extensions to Assessment Due Dates
Read the information contained in the following links carefully before submitting an application for extension to assessment due date.
For guidance on applying for an extension, information is available here: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension
For the policy relating to extensions, information is available here (Part D): https://policies.uq.edu.au/document/view-current.php?id=184
Please note the University's requirements for medical certificates here: https://my.uq.edu.au/information-and-services/manage-my-program/uq-policies-and-rules/requirements-medical-certificates
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Find the required and recommended resources for this course on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
Learning period | Activity type | Topic |
---|---|---|
Week 1 (28 Jul - 03 Aug) |
Lecture |
Welcome & course overview History of complex trait genetics and genomics Lecturer: Katrina McGuigan |
Workshop |
Anatomy of a scientific paper Lecturer: Katrina McGuigan |
|
Practical |
Collecting Data Measuring complex traits in zebrafish Lecturer: Katrina McGuigan For this week ONLY - closed shoes, lab coats & safety classes are required |
|
Week 2 (04 Aug - 10 Aug) |
Lecture |
How neutral processes shape genetic variation Lecturer: Katrina McGuigan |
Workshop |
Neutral processes How neutral processes shape genetic variation Lecturer: Katrina McGuigan |
|
Practical |
Fundamentals Class Means, Values, and Variances - foundations of trait inheritence Lecturer: Katrina McGuigan |
|
Week 3 (11 Aug - 17 Aug) |
Lecture |
The context dependence of genetic variation I Pleiotropy and genetic correlations between traits Lecturer: Katrina McGuigan |
Workshop |
Multivariate genetics Multivariate genetics and trait correlations Lecturer: Katrina McGuigan |
|
Practical |
Quantifying genetic variation 1 Coancestry and variance components Lecturer: Katrina McGuigan |
|
Week 4 (18 Aug - 24 Aug) |
Lecture |
The context dependence of genetic variation II Genotype-environment interactions (GEI) Lecturer: Katrina McGuigan |
Workshop |
G x E interactions How do genetic effects change with environment and why does it matter? Lecturer: Katrina McGuigan |
|
Practical |
Quantifying genetic variation 2 Estimating genetic variance & heritability in zebrafish Lecturer: Katrina McGuigan |
|
Week 5 (25 Aug - 31 Aug) |
Lecture |
What maintains genetic variation? How do mutation, selection, drift and migration shape heritable trait variation? Lecturer: Katrina McGuigan |
Workshop |
EXAM & Maintenance of genetic variance Lecturer: Katrina McGuigan First part of Workshop will be used for mid-sem Exam 2nd part we will continue to explore the question of why there is genetic variance |
|
Practical |
Quantifying genetic variation 3 Estimating Genetic Correlations in Zebrafish Lecturer: Katrina McGuigan |
|
Week 6 (01 Sep - 07 Sep) |
Lecture |
Natural selection on quantitative traits Lecturer: Steve Chenoweth |
Workshop |
Natural selection How much natural selection is there? How to measure natural selection over space and time Lecturer: Steve Chenoweth |
|
Practical |
Form, function and fitness Estimating natural selection in zebrafish. Lecturer: Steve Chenoweth |
|
Week 7 (08 Sep - 14 Sep) |
Lecture |
The context dependence of genetic variation III Genotype-sex interactions and the evolution of sex differences (GSI). Lecturer: Steve Chenoweth |
Workshop |
Genotype-sex interactions Between sex pleiotropy and the battle of the sexes Lecturer: Steve Chenoweth |
|
Practical |
Predicting Evolution Estimating trait responses to selection |
|
Week 8 (15 Sep - 21 Sep) |
Lecture |
Evolutionary Genomics Connecting adaptive phenotypic variation to genomic variation Lecturer: Steve Chenoweth |
Workshop |
Evolutionary genomics Dissecting complex traits in non-model organisms Lecturer: Steve Chenoweth |
|
Practical |
Genome-wide association study Genome-wide association study of fruit fly behaviour Lecturer: Steve Chenoweth |
|
Week 9 (22 Sep - 28 Sep) |
No student involvement (Breaks, information) |
Week 9 - Teaching Free Week No class for this course this week - use the time to revise Week 6, 7 & 8 content, and to work on your Report. |
Mid Sem break (29 Sep - 05 Oct) |
No student involvement (Breaks, information) |
Mid-semester Break no classes |
Week 10 (06 Oct - 12 Oct) |
No student involvement (Breaks, information) |
Week 10 - Teaching Free Week Monday Public Holiday No classes this week. Please use the additional time to complete your Report |
Week 11 (13 Oct - 19 Oct) |
Lecture |
Human Complex Trait Genetics 1 Lecturer: David Evans |
Workshop |
Human Complex Trait genetics 1 Mendelian randomization Lecturer: David Evans |
|
Practical |
Human Complex Trait genetics 1 Mendelian randomization Lecturer: David Evans |
|
Week 12 (20 Oct - 26 Oct) |
Lecture |
Human Complex Trait genetics 2 Genome-wide association studies Lecturer: David Evans |
Workshop |
Human Complex Trait genetics 2 Genome-wide association studies Lecturer: David Evans |
|
Practical |
Human Complex Trait genetics 2 Genome-wide association studies Lecturer: David Evans |
|
Week 13 (27 Oct - 02 Nov) |
Lecture |
Human Complex Trait genetics 3 Twin studies and calculating heritability in human populations Lecturer: David Evans |
Workshop |
Human Complex Trait genetics 3 Twin studies and calculating heritability in human populations Lecturer: David Evans |
|
Practical |
Human Complex Trait genetics 3 Twin studies and calculating heritability in human populations Lecturer: David Evans |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments for Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.
You'll also need to be aware of the following policies and procedures while completing this course:
- Laboratory Occupational Health and Safety