Fun ways to analyse genetic data using mixed models

Thursday, 30 April 2015
9.30am - 10.30am
Room 515, Level 5, Melbourne School of Population & Global Health, Melbourne University
207 Bouverie St
Carlton 3052

In 2010, Jian Yang and Peter Visscher showed how by applying mixed models to genome-wide association study data, it was possible to estimate how much of a trait's heritability is explained by all (common) genetic variants, and to partition this by, say, chromosome or variant function. But these are just two of the many ways mixed models allow us to better understand the genetic architectures of complex phenotypes. I will show how they can be used for performing single and multi-variant tests of association, for constructing effective prediction models, and for sub-phenotype classification ... in fact, it will probably be quicker to tell you what they can't do!

Dr Doug Speed

Dr Doug Speed

MRC Biostatistics Fellow
Genetics Institute at University College, London

Dr Doug Speed studied for his PhD under Simon Tavare at the University of Cambridge, developing Sparse Partitioning, a method for identifying interactions from association study data. He then moved to University College London, where under the guidance of David Balding, he realised searching for interactions is a thankless waste of time, so focused on additivity instead. Since then he has been developing LDAK, software for better understanding and predicting complex traits, and has recently been awarded a MRC Career Fellowship in Biostatistics. He is currently seeking help for an addiction to mixed model analysis.

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