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Curricular information is subject to change
On completion of this module students will be able to:
• Understand the theory of, and choice of statistical test for the analysis of hypotheses concerning genetic effects on phenotypes
• Use dedicated software for the analysis of genetic linkage in pedigrees
• Use dedicated or generic software for the analysis of genetic association between a trait or disease status and single locus
• Be able to estimate haplotypes in pedigree or unrelated samples using dedicated software, and understand the limitations of the methods
• Understand the concept of population stratification and be aware of the methods used to model this
• Demonstrate understanding of the issues surrounding the analysis of rare variants or private mutations, and the methods developed to circumvent these
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 3 |
Specified Learning Activities | 100 |
Autonomous Student Learning | 123 |
Total | 250 |
Students are recommended to be familiar with the basic principles of inheritance and human genetics.
Students are recommended to have taken an introductory statistics course or module prior to enrolling which covered basic probability and hypothesis testing at a minimum, and ideally up to linear and logistic regression.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: End-of-semester Assignment | Coursework (End of Trimester) | n/a | Standard conversion grade scale 40% | No | 50 |
Project: Practical report 2 | Varies over the Trimester | n/a | Standard conversion grade scale 40% | No | 15 |
Class Test: Online MCQ | Week 12 | n/a | Standard conversion grade scale 40% | No | 20 |
Project: Practical report 1 | Varies over the Trimester | n/a | Standard conversion grade scale 40% | No | 15 |
Resit In | Terminal Exam |
---|---|
Summer | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Feedback for the in-semester assignments will be given individually to students, electronically. There will also be general feedback on the class performance, on areas of weakness and strength. The MCQ exam will have immediate feedback. There will be regularly spaced summative short MCQs to provide on-going feedback on learning progression.