The Human Genomics section focuses on developing methods to more efficiently analyse data from genetic association studies, and using these to improve our understanding of complex human traits. There are three main aims.

1. Detecting causal variants - finding the genetic variants that influence phenotypes (for example, make someone more likely to develop a particular disease).
2. Predicting complex traits - constructing models that can accurately predict an individual's phenotypes from their genetic information.
3. Understanding genetic architecture - investigate what types of genetic variants tend to influence phenotypes, and how.

A major area of focus is developing methods to be able to classify heterogeneous diseases, in particular psychiatric and neurological disorders such as Autism and epilepsy. Additionally, we are interested in cross-population prediction, deciphering how gene expression levels mediate complex traits, and gene-environment interactions. To validate and apply our methods, we use large-scale genetic databases such as UK Biobank and iPSYCH.