Combining genetic and clinical data to identify patients with bipolar disorder at risk for poor outcomes

Project: Research

Project Details

Description

Bipolar disorder (BD) is a rare and severe psychiatric disorder with a lifetime risk of 1-4%1,2. BD typically has an onset in young adulthood, and the lifetime personal, social and economic consequences for individuals suffering from this disorder are substantial.BD is highly genetic, with a heritability of around 85%4. Recent years have seen promising advances in our understanding of the underlying genetics of BD. Evidence suggests that like other psychiatric disorders, BD is highly polygenic meaning that genetic liability for BD is attributable to multiple loci spread across the genome, each contributing small effects. Recent studies suggest that polygenic risk scores (PRSs) can distinguish
between BD patients with different phenotypic presentations, but it has yet to be demonstrated that PRS can be used to directly improve patient outcomes and care. A prediction model that would aid clinicians in identifying which newly-diagnosed BD patients were most likely to experience negative outcomes could help to focus resources on the people who need them most, and ultimately reduce the negative impact and suffering caused by BD. My specific aims in this project are 1) to characterize the associations between PRSs and outcomes in patients with BD, and 2) to build prediction models with PRSs and
clinical/demographic risk factors to aid in identification of BD patients at risk for negative outcomes.
StatusFinished
Effective start/end date15/07/202114/07/2023

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