Course overview
- Study period
- Semester 2, 2024 (22/07/2024 - 18/11/2024)
- Study level
- Postgraduate Coursework
- Location
- External
- Attendance mode
- Online
- Units
- 2
- Administrative campus
- Herston
- Coordinating unit
- Public Health School
Statistical genomics is the application of statistical methods to understanding genomes, their structure, function and evolutionary history, in many different scientific contexts, include: understanding biological mechanisms in health and disease, predicting outcomes and identifying individuals and their relatedness. The course will also cover aspects of Genomic epidemiology, an overlapping field in which statistical genomics methods are used with family or population data to study causes of disease.
This course is part of the Biostatistics Collaboration of Australia. If you are not enrolled in a Biostatistics Program at UQ, please contact the Program Director, Dr Michael Waller, to seek permission before enrolling.
This course begins with a brief review of elementary molecular biology; and statistical genetics. It then covers some bioinformatics relevant to gene discovery: sequence alignment and database searching, concentrating on the statistics used to guard against false discovery.
The Study Guide is available from the following link:ᅠᅠhttps://www.bca.edu.au/wp-content/uploads/SGX_Study_Guide_2021.pdf
Course requirements
Prerequisites
You'll need to complete the following courses before enrolling in this one:
STAT7603 + STAT7607 or STAT7618
Course contact
Course staff
Lecturer
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
Bioinformatics addresses problems related to the storage, retrieval and analysis of information about biological structure. This unit provides a broad-ranging study of this application of quantitative methods in biology.ᅠ
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Describe core mechanisms and central dogma of genetics
LO2.
Perform sequence analysis using hidden Markov models
LO3.
Access genomic data from public databases
LO4.
Perform a genetic association analysis, including the assessment of possible confounding
LO5.
Explain the concept of heritability and its estimation
LO6.
Use genome-wide SNP data to develop prediction models
LO7.
Explain key features of data, statistical models and methods used in the fields of transcriptomics, epigenetics and single-cell omics
LO8.
Effectively communicate results of statistical analyses in genomics and related areas.
Assessment
Assessment summary
Category | Assessment task | Weight | Due date |
---|---|---|---|
Computer Code |
Assignment 1
|
20% |
23/08/2024 11:59 pm
refer to Study Guide. |
Computer Code |
Assignment 2
|
20% |
13/09/2024 11:59 pm
refer to Study Guide |
Computer Code |
Assignment 3
|
20% |
18/10/2024 11:59 pm
refer to Study Guide |
Computer Code, Paper/ Report/ Annotation |
Take Home Exam
|
40% |
1/11/2024 - 5/11/2024
To be completed over 4 days, from 1 to 5 November 2024, due at 5pm on 5 November 2024, refer to Study Guide |
Assessment details
Assignment 1
- Online
- Mode
- Written
- Category
- Computer Code
- Weight
- 20%
- Due date
23/08/2024 11:59 pm
refer to Study Guide.
- Learning outcomes
- L01, L04, L08
Task description
Modules 1 & 2, refer to Study Guide
Submission guidelines
Deferral or extension
You may be able to apply for an extension.
Please see 10. Policies & Guidelines
Assignment 2
- Online
- Mode
- Written
- Category
- Computer Code
- Weight
- 20%
- Due date
13/09/2024 11:59 pm
refer to Study Guide
- Learning outcomes
- L01, L02, L05, L06, L08
Task description
Modules 3 & 4, refer to Study Guide
Submission guidelines
Deferral or extension
You may be able to apply for an extension.
Please see 10. Policies & Guidelines
Assignment 3
- Online
- Mode
- Written
- Category
- Computer Code
- Weight
- 20%
- Due date
18/10/2024 11:59 pm
refer to Study Guide
- Learning outcomes
- L01, L07, L08
Task description
Modules 5 & 6, refer to Study Guide
Submission guidelines
Deferral or extension
You may be able to apply for an extension.
Please see 10. Policies & Guidelines
Take Home Exam
- Online
- Mode
- Written
- Category
- Computer Code, Paper/ Report/ Annotation
- Weight
- 40%
- Due date
1/11/2024 - 5/11/2024
To be completed over 4 days, from 1 to 5 November 2024, due at 5pm on 5 November 2024, refer to Study Guide
- Learning outcomes
- L01, L02, L03, L04, L05, L06, L07, L08
Task description
Modules, 1 - 8, refer to Study Guide
Submission guidelines
Deferral or extension
You may be able to apply for an extension.
Please see 10. Policies & Guidelines
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: (typically 0 - 19%) |
2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: (typically 20 - 44%) |
3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: (typically 45 - 49%) |
4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: (typically 50 - 64%) |
5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: (typically 65 - 74%) |
6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: (typically 75 - 84%) |
7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: (typically 85 - 100%) |
Supplementary assessment
Supplementary assessment is available for this course.
The final grade awarded will be based on the results of the supplementary assessment only, and a passing grade will be awarded if, and only if, the student receives at least 50% of the marks on the supplementary assessment.
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
Library resources are available 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 |
---|---|---|
Multiple weeks |
Tutorial |
Module 2 Genetic Association Analysis include GWAS Introduction to Population Genetics Introduction to Genetic Association Analysis Imputation in GWAS Intro to GWAS replication and meta analysis Learning outcomes: L01, L04, L08 |
Tutorial |
Module 4 Sequence analysis using hidden Markov models Intro to hidden Markov models Modelling protein families using HMM Learning outcomes: L01, L02, L05, L06, L08 |
|
Tutorial |
Module 5 Introduction to transcriptomics data Intro to next-gen sequencing technology Models and methods for transcriptomics data analysis Challenges in transcriptomics data analysis Learning outcomes: L01, L07, L08 |
|
Tutorial |
Module 7 Introduction to single-cell Omics Data Intro to single-cell transcriptomics Models and methods for analysis of single-cell transcriptomics data Challenges in analysis of single-cell transcriptomics data Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 |
|
Tutorial |
Module 1 Basics of human genetics and genetic epidemiology, review of R Introduction to Human Genetics Basic Statistics for Genetics Overview of Genetic Epidemiology Learning outcomes: L01, L04, L08 |
|
Tutorial |
Module 3 Heritability and genomic prediction Traditional heritability SNP-based heritability Genomic prediction Learning outcomes: L01, L02, L05, L06, L08 |
|
Tutorial |
Module 6 Introduction to epigenetics data Intro to epigenetics Models and methods for analysis of DNA methylation data Challenges in analysis of DNA methylation data Learning outcomes: L01, L07, L08 |
|
Tutorial |
Module 8 Genomic Medicine Variant interpretation and Genomic Medicine Intro to databases and software in Genomic Medicine Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 |
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 - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.
Course guidelines
School of Public Health (SPH) Guidelines for late submission of progressive assessment - Preamble
To apply for an extension to the due date for a piece of progressive assessment (eg assignments, oral presentations and computer-based assignments) students should complete the online request at https://my.uq.edu.au/node/218/1
Information regarding deferral of in-semester exams and end-of-semester exams is available from https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/deferring-exam
If requesting an extension on medical grounds, a medical certificate must be provided. The extension will be approved for the number of days included in the medical certificate that the student was not fit to study or work, eg if the medical certificate is for 3 days, an extension will be approved for 3 days maximum regardless of the student's request.
If requesting an extension using a Student Access Plan for Disability (SAPD) as evidence, a maximum of 7-day extension will be approved in the first instance. Updated medical documentation, as well as a copy of the SAPD, is required if requesting an extension for more than 7 days.
The maximum time for an in-semester extension is four weeks.
The following SPH guidelines are consistent with the UQ policy. However, the SPH Guidelines contain specific rules and interpretations for SPH courses, and requests for extension and penalties for late submissions will be judged according to the guidelines outlined in this document. You should read both the information in your my.UQ at the following link: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension?p=1#1 and the SPH guidelines (below) before submitting a request for an extension. The SPH Guidelines apply to all courses offered by the School of Public Health unless the ECP explicitly states otherwise.
SPH Guidelines for late submission of progressive assessment
Initial extension for an individual item of assessment – the SPH Teaching & Assessment Support Team and/or the Course Coordinator decides.
This could be for medical or compassionate reasons, or if, in the opinion of the Course Coordinator, there are exceptional circumstances.
Acceptable and unacceptable reasons for an extension are listed at the following link, along with the required evidence to be provided: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension?p=1#1
All requests should be lodged at least 24 hours prior to the due date for the assessment.
If applying for an extension after the due date and time of the assessment item, your request may not be approved. An explanation as to why your request was not submitted prior must be included.
If approved, a new due date will be set. This would generally be no later than 7 days after the original due date, however this can be modified to take account of the circumstances of the request and the time that would have been lost from studies.
If the new due date is past the date for submission of end-of-semester results, the student will receive an INC (incomplete) result.
Second and all subsequent extensions for an individual item of assessment – the SPH Teaching & Assessment Support Team and/or the Program Director together with the Course Coordinator decides.
This would only be approved for exceptional circumstance with supporting documentation.
- Online requests must be made at least 24 hours prior to the due date from the first extension.
- The SPH Teaching & Assessment Support Team and/or the Course Coordinator will consult with the Program Director, who will make the final decision.
- If approved, the new due date would generally be no later than 7 days after the first extension due date.
- The Program Director should consider if remedial or other support should be offered to the student.
- The Program Director should provide a report on these matters as needed at SPH Examiners’ Meetings.
Please Note: In order to support course progression, extensions that total more than 14 calendar days from the original due date of an assessment item will only be approved in very exceptional circumstances. These requests are assessed and approved or denied on a case-by-case basis.
If you have been ill or unable to attend class for more than 14 days, we advise you to carefully consider whether you are capable of successfully completing your courses this semester. You might be eligible to withdraw without academic penalty.
Penalty for late submission
Submission of assignments, practical reports, workbooks, and other types of written assessments after the due date specified in the Electronic Course Profile (ECP) will receive a penalty.
The penalty will be a deduction of 10% RELATIVE PERCENTAGE per day (24 hour period or part thereof, including weekends and public holidays) or for work graded on a 1-7 scale, a deduction of one grade per day, e.g If the original mark is 73%, then 10% relative percentage is 10% of this value, ie 7.3%, The final mark for this assessment item after applying the penalty for 1 day late submission would be 73 -7.3 = 65.7% The same outcome is achieved by multiplying the original score by .9; ie 73 x .9 = 65.7%
The penalty for multiple days late is the relative percentage multiplied by the number of days late.
A submission that is not made within 10 days of the due date will receive a mark of 0% for that assessment item.
Where a student has sought more than one extension, the due date for calculating the penalty will be the due date for the most recently approved extension.
Submission of Medical Certificates
Students are responsible for ensuring that any medical documentation they submit is authentic and signed by a registered medical practitioner. Such practitioners can be identified via the AHPRA website. Also note that:
- Not all online medical services are staffed by registered practitioners
- If the registration status of the practitioner cannot be verified, then an alternative practitioner should be sought
- Students will be held fully responsible for all documentation they submit, even if done so in ignorance of the practitioner's registration status
Medical documentation may be subjected to an audit by the University.
SPH Assessment Guidelines
The School of Public Health assessment tasks have been designed to be challenging, authentic and complex. While students may us AI technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
A failure to reference AI use may constitute student misconduct under the Student Code of Conduct.
To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of AI tools.