Advancing the prediction of factors associated with bipolar disorder risk: utilizing early recognition tools and polygenic risk scores.

ABSTRACT: Bipolar disorder (BD) is a highly heritable mental illness that affects ∼ 1-2% of the world's population and has complex genetic and environmental underpinnings. Early detection is critical to improving treatment outcomes, but current strategies have limited predictive power. Early detection tools such as the Early Phase Inventory for Bipolar Disorder (EPIbipolar) and the Bipolar At-Risk (BARS) criteria assess phenotypic risk factors, including family history (FH) and subthreshold mood problems. Polygenic risk scores (PRS) are a quantitative metric of genetic susceptibility. This study examined the associations between BD-PRS and screening tools in order to assess their combined potential to identify individuals at risk of BD with improved predictive accuracy. The analysis included 1068 pa

SUBMITTER: Biere S 

PROVIDER: S-EPMC12804565 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature