POPH90111: ace the component, not just read the notes
Your complete guide to University of Melbourne's genetic epidemiology unit. See where the marks are, work real practice questions, and study with an AI tutor that knows POPH90111.
Sia generates POPH90111 practice questions, works through them step by step, and quizzes you on the material the component that weights most heavily.
Sharpen your argument
Researchers want to know whether higher lifelong LDL cholesterol causes heart disease, but observational studies are confounded by lifestyle. They use genetic variants that raise LDL as instruments. Which method is this, and what is its key assumption?
Genetic variants are randomly assigned at conception, so they are largely independent of the lifestyle confounders that bias observational studies.
Its validity rests on the instrument affecting the outcome only through the exposure (no horizontal pleiotropy) and being independent of confounders.
So this is Mendelian randomisation, and the key assumption is the exclusion restriction (no pleiotropic path to the outcome).
The weaker choice: Calling it a randomised controlled trial because it uses random assignment. The randomisation here is natural (genotype at conception), not experimental; it is Mendelian randomisation, and its results are only valid if the no-pleiotropy assumption holds. watch this!
One component decides 50% of your grade. This whole page is built around that.
Overview
What POPH90111 is, and where it sits
POPH90111 Genetic Epidemiology is the University of Melbourne's postgraduate subject on how genetic and environmental factors contribute to disease in populations, taught in the Melbourne School of Population and Global Health. It covers the foundations of genetic epidemiology, heritability, genetic association studies, Mendelian randomisation, penetrance and expressivity, gene-environment interaction, and genetic screening.
The subject is method-focused and assessed almost entirely through written analysis: two substantial take-home assignments (40% and 50%) plus a short online quiz. There is no traditional exam, so the emphasis is on applying genetic-epidemiology methods to real study designs, interpreting results correctly, and understanding what each method (especially Mendelian randomisation) can and cannot establish about causation.
Official outline: handbook.unimelb.edu.au · POPH90111 outline. Always treat the official outline and the exam timetable as authoritative.
Difficulty & time commitment
Is POPH90111 hard, and how much time does it take?
POPH90111 is manageable if you keep a weekly rhythm and treat the back half as the main event. The pattern is consistent: it starts gently and steepens, and the heaviest assessment is the part that separates grades.
The difficulty curve and the assessment weighting point the same way: the back half is harder and worth more. Front-loading effort there is the highest-return decision in the unit.
Is this unit for you
Who tends to do well, and who tends to struggle
You will likely do well if
- You can apply genetic-epidemiology methods to a study design and interpret the results carefully.
- You engage with the causal logic, especially what Mendelian randomisation can and cannot prove.
- You start the two take-home assignments early, since they are substantial written analyses.
You may struggle if
- You memorise method names without understanding their assumptions and limits.
- You leave the 40% and 50% assignments late; they reward careful, iterated analysis.
- You confuse association with causation, which the subject is precisely about disentangling.
- For each method, write down its design, its key assumption, and what it can validly conclude.
- Treat the assignments as analyses: state the method, check its assumptions, interpret cautiously.
- Pay special attention to Mendelian randomisation's assumptions, a frequent focus.
Syllabus
The 7 topics, topic by topic
The exam-weight marker on each topic shows where the marks concentrate. The amber topics carry the highest exam weight.
T1 · Genetic Epidemiology Foundations
Genes vs environment · HWE · LD · pedigrees · familial aggregation (OR/RR/SMR)
T2 · Heritability
Variance partition · twin studies · Falconer · ACE model · liability threshold
T3 · Genetic Association Studies
Case-control SNP · allelic χ² · GWAS · 5×10⁻⁸ · Manhattan & QQ plots
T4 · Mendelian Randomisation
Instrumental variables · the three IV assumptions · the Wald ratio · pleiotropy
T5 · Penetrance and Expressivity
Age-specific penetrance · ascertainment bias · the synthetic cohort · modifiers
T6 · Gene–Environment Interaction
Additive vs multiplicative scale · the case-only design · precision prevention
T7 · Genetic Screening
Wilson–Jungner · sensitivity/specificity/PPV · ROC/AUC · NNT & NNS
How it's assessed
Assessment structure
| Component | Weight | Format & timing |
|---|---|---|
| Online MCQ | 10% | Open-book · ~30-min LMS quiz of ~10 questions · Introduction + Module 1 · completable any time within a one-week window. |
| Assignment 1 (written, take-home) | 40% | Modules 1–3 · submitted online over a multi-week window. |
| Assignment 2 (written, take-home) | 50% | Modules 4–8 · submitted online over a multi-week window — confirm the exact weights and dates in your subject guide. |
- Pass on a weighted average of at least 50%. No single-component hurdle unless noted; confirm against the official subject page.
This is a coursework unit. Coursework carries 100% of the grade and the assignment 2 (written, take-home) is the single heaviest piece at 50%, so steady work across the semester decides your result more than any one sitting.
How to actually pass it
A weekly rhythm, two checklists, and the traps to avoid
The unit rewards consistency over cramming, and practice over re-reading. Here is the loop that works, then what to have nailed before each exam.
The weekly loop
Before the mid-semester checklist
Before the final heaviest topics
- Consolidate heritability, association and Mendelian randomisation and their assumptions.
- Rehearse interpreting genetic-epidemiology results without over-claiming causation.
- Review penetrance, expressivity and gene-environment interaction concepts.
- Ensure both take-home assignments are complete, careful analyses (they are 90% of the grade).
The mistakes that cost marks
Over-claiming causation. Association is not causation; even Mendelian randomisation needs its assumptions to hold. Over-claiming is the central error the subject trains you to avoid.
Ignoring method assumptions. Each design is valid only under specific assumptions (e.g. no pleiotropy). Applying a method without checking them undermines the analysis.
Backloading the assignments. The two take-home assignments are 90% of the grade and reward careful, iterated work; leaving them late costs heavily.
Teaching team
Who teaches POPH90111
No teaching staff are publicly listed for this offering. Check the official course page for the current coordinator and lecturers.
Where it fits
Prerequisites, related units & why it matters
Postgraduate population-health subject; check the UniMelb Handbook for program prerequisites.
Your POPH90111 study toolkit
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FAQ
Frequently asked questions
Is POPH90111 hard?
It is a mid-moderate postgraduate subject. It is method- and analysis-focused rather than exam-heavy, so the challenge is applying genetic-epidemiology methods correctly and interpreting causal claims cautiously across two substantial take-home assignments.
How is POPH90111 assessed?
A 10% online multiple-choice quiz and two written take-home assignments worth 40% and 50%. There is no traditional exam, and the components sum to 100%.
What does it cover?
Foundations of genetic epidemiology, heritability, genetic association studies, Mendelian randomisation, penetrance and expressivity, gene-environment interaction, and genetic screening.
How quantitative is it?
Moderately: it uses statistical-genetics methods (heritability estimation, association, Mendelian randomisation), but the emphasis is on correct application and interpretation rather than derivation.
What is Mendelian randomisation?
An instrumental-variable method that uses genetic variants, randomly assigned at conception, to assess whether an exposure causes an outcome, valid only if the variants affect the outcome solely through that exposure.
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