30 Apr 2015 10:00am

Fun ways to analyse genetic data using mixed models


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!