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
Tuesday 12 March, 1–2pm, Dr Garrett Hellenthal, ‘Identifying and dating historical admixture events in humans using DNA’
4 March 2013
Gavin de Beer LT, Anatomy Building, UCL
Abstract:
We describe a new method that uses DNA to identify historical events that have shaped present-day populations. In particular, the approach exploits modern large-scale genetic collections to unearth times in the past where two or more genetically distinct groups interacted and exchanged DNA. The method dates precisely when such events occurred, characterizes the amount of DNA exchange, and describes the genetic composition of the (perhaps extinct) groups involved. We highlight the model’s advantages over currently available techniques in the field, including its improved parameter estimation and the additional information it contributes beyond any available methods. Our inference, based entirely on DNA, provides a powerful complement to anthropological resources, helping to resolve existing archaeological controversies, determine precisely how much DNA exchange accompanied known historical periods, and discover previously unknown events. We describe an application to data collected from 95 world-wide geographic regions, in which we characterize over 100 DNA exchange events occurring in the past 3000 years.
Page last modified on 04 mar 13 13:32


