Lecturer(s): Dr Jere Koskela
Prerequisite(s): ST115 Introduction to Probability, ST218 Mathematical Statistics A, ST219 Mathematical Statistics B
Commitment: 3 hours of lectures per week. This module will run in Term 2.
Content: The module will introduce students to probabilistic models and statistical methods used in the analysis of genetic data.
Aims: Students will gain a basic understanding of the rapidly growing field of genome-wide association studies, and be exposed to practical applications of common statistical tests.
Objectives: By the end of the course students should be able to
- describe simple discrete-time reproductive models and use them to derive the standard coalescent model
- use coalescent theory to relate DNA sequence variation to genealogical history
- evaluate, from simple datasets, evidence for linkage disequilibrium and disease assocations using basic association tests
- discuss the wider issues involved in applying association tests to whole genomes.
Students will be given selected advanced material for further study and examination.
Assessment: 80% by a 2-hour exam. 20% by coursework. Coursework will consist of two written assignments worth 10% each.
Deadlines: Assignment 1: week 7 of Term 2, Assignment 2: week 10 of Term 2.
Feedback: Feedback on both assignment 1 and 2 will be returned after 2 weeks, following submission.
Resources for current ST418 students (restricted access)