Genetics in Drug Development, December 2024Info Location Attendee Categories Contact More Info Event Information
DescriptionThe majority of biologic and small molecule drugs perturb protein targets to exert their effects. With the recent explosion in the availability of large-scale genetic association data, it is increasingly feasible to identify genetic variants that proxy the effect of perturbing a protein drug target. Leveraging such genetic data thus offers an efficient and cost-effective approach for identifying drug targets and studying their effects. This short course “Genetics in drug development” will provide theoretical and practical advice on using genetic data to: University of Cambridge Students and Staff, whose department will be covering the participation cost, please contact Admin Team at [email protected] to arrange an internal crosscharge and obtain an access passcode to use this booking system. PO number and Access Passcode is required during the booking process.
Event Location
Attendee Categories1. UoC Student/Staff Registration: Internal Crosscharge
Additional ItemsContactEmily Bassett More InformationThe course will be held online over one week and will consist of a series of recorded video lectures, live interactive sessions with practical examples, and participation in an online community that allows for interaction with peers and tutors throughout the course. Course tutors Dr Dipender Gill, Advanced Clinical Research Fellow, Imperial College London Dr Ville Karhunen, Senior Research Associate, MRC Biostatistics Unit, University of Cambridge Dr David Ryan, NIHR Academic Clinical Fellow and ST2 in Clinical Pharmacology and Therapeutics, University College London Dr Stephen Burgess, MRC Biostatistics Unit Group Leader and Senior Scientist in the Cardiovascular Epidemiology Unit, University of Cambridge Intended audience Prerequisites: Previous experience of using the R statistical software is desirable, although not essential. All code for the practical examples used during the course will be provided for R.
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