|Course code EPID6450||Units 10||Level 6000||Faculty of Health and MedicineSchool of Medicine and Public Health|
Provides a medium to follow and build on the concepts introduced in Molecular Epidemiology (EPID6440). Where molecular epidemiology assumes that a genetic determinant of disease is present, and has a candidate gene or marker to test, genetic epidemiology seeks to quantitate genetic contribution to disease, estimate the number of genes involved and isolate them.
Not available in 2014
|Previously offered in 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004|
|Objectives||1. To familiarise the student with the basic research methods in genetic epidemiology, and|
2. To develop an appreciation of the advantages, disadvantages and sources of bias of these basic research methods.
|Content||Module 1: Understanding the Disease Part 1: Is there a genetic component? Methods of addressing whether a disease clusters, and whether that clustering is due to genetic effects. Covers lambda, adoption studies, twin studies, migration studies, admixture, and heritability analysis.|
Module 2: Understanding the Disease Part 2: How many genes are involved? What is the best genetic model to explain the genetic effects? Covers classical and complex segregation analysis.
Module 3: Gene Discovery Part 1: Linkage and Mendelian Disease. What region of the genome is involved? Covers linkage analysis, pedigrees, and LOD scores for Mendelian disease.
Module 4: Gene Discovery Part 2: Model-free methods and complex disease. What region of the genome is involved? Covers designs for complex disease including concordant and discordant sib pairs, trios, parametric and nonparametric LOD scores, model-free methods and Transmission dysequilibrium test.
Module 5: Gene Discovery Part 3: Quantitative trait loci: What region of the genome is involved? Includes extensions of the above methods for complex traits measured on a continuous scale.
Module 6 - Gene Discover Part 4: Fine mapping. Narrowing down region of the genome with the gene of interest.
Module 7 - Gene Characterisation: Genes at the population level. Once a gene has been identified, its contribution to disease causation at a population level has to be assessed. Designs for this include variations of the case-control and cohort designs. Gene-environment interactions can also be addressed using specific designs, e.g. case-only, countermatching and co-twin design
|Assumed Knowledge||EPID6440 Molecular Epidemiology|
|Modes of Delivery||Distance Learning : IT Based|
Distance Learning : Paper Based
|Teaching Methods||Email Discussion Group|
Self Directed Learning
|Contact Hours||Email Discussion Group: for 2 hour(s) per Week for Full Term|
Self Directed Learning: for 8 hour(s) per Week for Full Term