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ST418: Statistical Genetics with Advanced Topics

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.