16 - 18 March 2020
3 days (approximately 19.5 hours of teaching).
Registration will start at 8.30am on the first day, the course will finish by 5pm on the last day.
The aim of this course is to provide an overview of epidemiological principles that are relevant to epigenetic studies. The course will provide attendees with the knowledge, skills and code necessary to design, execute and interpret population-based epigenetic studies.
By the end of the short course participants should be able to
- discuss the utility of epigenetics in epidemiological studies;
- outline the strengths and weaknesses of various epigenetic epidemiological study designs;
- choose and apply appropriate statistical methods for different analyses of epigenetic data;
- interpret findings of epigenetic epidemiological studies;
- critically appraise epigenetic epidemiology literature;
- design epigenetic epidemiology studies and justify choice of design;
- discuss and apply possible approaches such as Mendelian randomization to strengthen causal inference in epigenetic epidemiology.
Who the course is intended for
This course is intended for individuals engaged in population-based studies who wish to incorporate epigenetic measures into their research. Attendees may have a background in epidemiology, molecular genetics, statistics, public health or a clinical speciality. A basic knowledge of epidemiology is required and some understanding of molecular genetics terminology would be advantageous. Some practical knowledge of R would be helpful. The course includes information on laboratory based methods but this will be aimed at the non-specialist (i.e. those without first-hand lab experience).
Please note that this course attracts a highly multi-disciplinary audience. We do our utmost to accommodate this and ask that if in any doubt, prospective participants enquire prior to booking to check that the course is targeted at the right level for their needs.
Topics to be covered include:
- the various uses of epigenetic data in epidemiology (including as an exposure, outcome, mediator, indicator and predictor);
- the role of epigenetics in development and disease;
- key considerations in the design of epigenetic epidemiological studies (including choosing appropriate technologies and statistical analyses);
- interpreting epigenetic data (including genetics and epigenetics, region-based approaches, integration with gene expression, the use of bioinformatics);
- strengths and weaknesses of epigenetic studies, and critical appraisal of epigenetic epidemiology literature;
- causality in epigenetics (including the importance of establishing causality to address certain research questions, examples of causal inference techniques, applying Mendelian randomization in epigenetic epidemiology).
Please note: Practical sessions of this course will be held in a computer lab, so you will not need to bring a laptop. This course makes use of R software.
- Sharp GC, Relton CL. Epigenetics and noncommunicable diseases. Epigenomics 2017; 9(6): 789-791
- Relton CL, Davey Smith G. Is epidemiology ready for epigenetics? Int J Epidemiol 2012; 41(1): 5-9.
- Mill J, Heijmans BT. From promises to practical strategies in epigenetic epidemiology. Nat Rev Genet 2013; 14(8): 585-94.
- Horvath S. DNA methylation age of human tissues and cell types. Genome Biol 2013; 14(10): R115.
- Joubert BR et al. DNA methylation in newborns and maternal smoking in pregnancy: Genome-wide consortium meta-analysis. Am J Hum Genet 2016 Mar 30.
Make a booking
Bookings are open
More information on course fees, fee waivers and reduced prices.
Bristol Medical School
39 Whatley Road
We provide morning and afternoon refreshment breaks, including tea and coffee, biscuits and fresh fruit.
If you have specific dietary needs we ask that you let us know in advance.
Lunch is not included. There are a range of local cafes and supermarkets nearby for students to purchase lunch.
Information about accommodation in the area.
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