Genetic Epidemiology

An online short course

This course aims to provide a grounding in a wide range of cutting-edge genetic epidemiological methods for complex traits.

Course date 24 - 28 May 2021
Course fee £1,100
Course Organisers Dr Josine Min

 

Prerequisites

Please ensure you meet the following prerequisites before booking:

Knowledge This course will require students to use analytical software in a command-line Linux environment. We will include all instructions, but do recommend that you have some experience of this computer environment before the course.
Software This course has computing practicals, which you need to run on your own computer/laptop. The operating system can be either Windows or Mac and participants should consider having a fast internet speed for synchronous/live sessions and for downloading data and scripts.

Participants who would like to do the practicals need to have the following software installed in advance of the course:

Windows: putty, winscp
Mac: filezilla

Course format

This 5-day course will be online and consist of learning activities set by the tutor including lectures (synchronous and asynchronous), small group work, discussions, individual tasks, and computing practicals. Participants can do the computing practicals on their own computer in breakout rooms. Breakout rooms will have helpers to help participants with issues. Tutors will provide a demo for the computing practicals. All teaching will be conducted online using Blackboard.

Course objectives

By the end of the course participants should be able to:

  1. understand the major sources of genetic variation in the genome;
  2. infer the genetic architecture of a trait using results from family studies, association studies and whole genome approaches;
  3. carry-out a genetic association analysis for a single nucleotide polymorphism;
  4. design and analyse a basic genome-wide association study using appropriate software;
  5. consider population structure and its application to genetic association studies;
  6. work with a range of genetic data types: e.g. genotyped, imputed, sequenced, polygenic risk scores;
  7. utilise online bioinformatic resources to explore the functional properties of genetic variation;
  8. interpret results from studies of molecular gene regulation (e.g. expression and methylation);
  9. utilise results from genetic association studies to investigate genetic correlation and causality in epidemiological associations.

Who the course is intended for

The course is intended for Epidemiologists, Statisticians, Molecular biologists, Clinicians and Psychologists. 

Please note: This course will require students to use analytical software in a command-line Linux environment. We will include all instructions, but do recommend that you have some experience of this computer environment before the course.

Course outline

  • Introduction to genetics (optional pre-course videos):
    • molecular structure
    • variation & population structure

  • Introduction to data types and formats:
    • genotyping
    • imputed genetic data
    • sequence data
    • other ‘omics (e.g. expression, methylation)
    • use of summary statistics

  • Heritability and genetic architecture of complex traits:
    • twin studies
    • whole genome approaches

  • Genetic association of complex traits:
    • statistical tests for association
    • genome-wide association study (GWAS) analysis
    • study design, confounding, statistical power
    • construction & use of polygenic risk scores
    • Next Generation Sequence analysis
    • bioinformatic follow-up of results to explore functional mechanisms

  • Related study designs:
    • other ‘omics (e.g. expression, methylation)
    • Mendelian randomization for causal inference in epidemiology
    • recall by genotype studies


Please note: This course will have computing practicals, which you need to run on your own computer/laptop.

Online Course Bookings


Bookings are open for online courses running in 2021.

Overall, the course content was great and cutting edge. It was inspiring to learn from experts in the field.

Course feedback, June 2019

Coronavirus (COVID-19)

We may need to make responsive changes to our courses at short notice in order to follow the latest Public Health, Government and University guidance on coronavirus (COVID-19).

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