UGI Seminars and Events Publication
- Tuesday 15 May, 9:45 - 5:30, EBI enzyme and metabolite resources training workshop
- BCGES seminar, 29 May 2012 at 1pm, Dr Chris Spencer & Dr Matti Pirinen, Bayesian methods for modelling effect heterogeneity in genetic association studies
- Seminar: ‘Genetic constellations of HLA and KIR and their role in scarring trachoma’, 22 May 2012, 1pm
- Seminar: Dissecting the genetic architecture of cardiometabolic risk, 28 May, 1pm
- Bloomsbury Centre for Genetic Epidemiology and Statistics Annual Scientific Meeting, 12 June, 2-6:30pm
- 2 July - Pipelines for analysis of next generation exome sequence data, Beer & Pizza evening
- Gene Ontology Annotation Workshop: 10-11 September 2012
- BCGES short courses September 2012
- UGI Seminar: Drug safety pharmacogenomics: challenges and opportunities, Prof Munir Pirmohamed
- 2 UGI seminars: Weds 19 Sept, 2-3pm
- Journal Club: Wednesday 10 October, 1pm
- "Genome wide gene pathway analysis-statistical methods and applications", 11 Dec at 1pm
- UGI Seminar: Prof David Curtis - "25 years searching for the gene for schizophrenia", 29 Nov at 1pm
- Course:Introduction to bioinformatics and resources and Gene Ontology, 18-19. April
- Progress Educational Trust's public debate-'Receiving:The Recipient Parent Perspective', 24 January 2013
- Tuesday 12 March, 1–2pm, Dr Garrett Hellenthal, ‘Identifying and dating historical admixture events in humans using DNA’
- EBI Roadshow at UCL, 28-30 May 2013
- UGI Seminar - John Overington, EBI, 23rd April @ 1pm
- Tue 7 May, "Beer & Pizza" Metabolism and Pharmacokinetics Science evening
- Annotating the Genome, BCGES Annual Meeting, 11 June 2013
Seminars and Events
BCGES seminar, 29 May 2012 at 1pm, Dr Chris Spencer & Dr Matti Pirinen, Bayesian methods for modelling effect heterogeneity in genetic association studies
1 May 2012
Venue: Room B15 – Biochemistry LT, Darwin building (UCL)
Dr Chris Spencer and Dr. Matti Pirinen, Wellcome Trust Centre for Human Genetics, Oxford University
Abstract:
Genome-wide association studies are aimed at detecting the effect of genetic variants on susceptibility to particular traits and diseases. When combining data from different studies or collections standard statistical methods often assume a genetic variant to have the same effect on risk. In many situations, for example when analysing data from different populations, or studies of different phenotypes, it may be beneficial to relax this assumption for the purpose of identify new associations. Moreover, it is often of interest to compare statistical models directly in order to quantify the evidence for similarities in and differences in effect between studies. We use examples from ischemic stroke, malaria susceptibility and auto-immune disease to illustrate the utility of the Bayesian approach.
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