Browsing by Author "Mohamed, Salma"

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    Stratifying Bipolar Disorder Patients Based on Prototypicality Using the Bipolarity Index
    (2021-08-05) Mohamed, Salma; University of Gothenburg / Institute of Medicine; Göteborgs universitet / Institutionen för medicin
    Background: The term bipolarity describes clinical and genetic traits that are specific to bipolar disorder. The polygenic risk score reflects genetic bipolarity while the Bipolarity index, a diagnostic scale, measures clinical bipolarity. Clinical and genetic bipolarity can stratify bipolar disorder patients to facilitate further research and improve clinical practice. Aim: To estimate a bipolarity index for subjects in the Swedish Bipolar Collection cohort and investigate whether it correlated with the polygenic risk score for bipolar disorder. Methods: 3924 study subjects were extracted from the Swedish Bipolar Collection cohort. A bipolarity index score was estimated for the rest of the subjects in SWEBIC using variables from the cohort that corresponded to the Bipolarity Index questions. The estimation was then compared to an internal comparison group's bipolarity index (N=219), using linear regression. ANOVA was performed to investigate the correlation between the estimated bipolarity index score and the polygenic risk score for bipolar disorder. Results: A significant correlation was found between the bipolarity index score for the internal comparison group and the rest of the cohort. Similarly, a significant correlation was found between the bipolarity index score and the polygenic risk score. An r squared value of 0.008 was obtained, signifying that the bipolarity index determined 0.8 % of the polygenic risk score variation. Conclusion: In previous studies, the polygenic risk score has been shown to account for only <2% of the total clinical bipolarity variance. Therefore, 0.8 % is a reasonable proportion. The results establish the bipolarity index as a suitable basis for stratifying bipolar disorder patients.