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Psychiatric disorders have enormous consequences for patients and their families, and a substantial proportion of risk can be attributed to genetic factors. Even though we can measure genetics directly today, turning this into clinically relevant risk estimates remains challenging. Therefore, it is likely that diagnoses in genetic relatives will play an important role if genetic prediction models are to be implemented in a clinical setting. Such models, however, build on assumptions about the underlying genetic architecture within and across diagnostic categories and these associations remain poorly understood.    

In this project, Morten D. Krebs will use data from Danish registers and biobanks to investigate how different prediction models based on diagnoses in genetic relatives and based on genotypic data individually and together can contribute to improvements in genetic risk estimates.