Advanced Epigenetic Epidemiology
An online short course
This course aims to build on the knowledge and skills acquired in 'Epigenetic Epidemiology' by introducing students to more advanced approaches in epigenetic epidemiology and to provide students with the knowledge and skills necessary to design, execute and interpret more advanced epigenetic epidemiological analyses.
Please ensure you meet the following prerequisites before booking:
|Knowledge||You should be very familiar with the topics presented in our Epigenetic Epidemiology short course. This includes, in particular, practical knowledge of using R to analyse microarray data.|
|Software||Prior to the course, attendees should have installed R on their computer.|
This 1-day course will be online and consist of live lectures followed by practical sessions using R.
- design, execute and interpret non-standard epigenome-wide association studies (EWAS) (e.g. of repeated measures);
- derive and apply epigenetic models for detecting exposure and predicting outcomes;
- design, execute and interpret EWAS meta-analyses;
- use appropriate databases and tools to interpret EWAS findings;
- understand the specific challenges of missing data and imputation in EWAS;
- estimate the contribution of epigenetic factors to trait variability and the heritability of epigenetic factors;
- design, execute and interpret tests of mediation by epigenetic factors.
Who the course is intended for
This course is intended for individuals engaged in population-based epigenetic studies who would like an introduction to analysis approaches to answer more advanced questions. They should therefore be very familiar with the topics presented in our Epigenetic Epidemiology short course. This includes, in particular, practical knowledge of using R to analyse microarray data.
- non-standard EWAS: identifying variance differences, testing interactions, handling repeated epigenetic measurements;
- detection and prediction: uncovering exposure histories and predicting future outcomes using epigenetic profiles;
- meta-analysis: combining summary statistics from multiple EWAS studies to improve statistical power;
- biological interpretation: evaluating possible biological implications of EWAS findings;
- missing data: maximising EWAS power when covariates include missing values;
- contribution and heritability: estimating the proportion of variation explained by genetic and epigenetic profiles;
- mediation: evaluating the evidence that an epigenetic mark mediates a given effect.
Online Course Bookings
Bookings are open for online courses running in 2021.
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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).