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Investigating associations between genetic risk for bipolar disorder and cognitive functioning in childhood

Mistry, Sumit, Escott-Price, Valentina ORCID:, Di Florio, Arianna ORCID:, Smith, Daniel and Zammit, Stanley ORCID: 2019. Investigating associations between genetic risk for bipolar disorder and cognitive functioning in childhood. Journal of Affective Disorders 259 , pp. 112-120. 10.1016/j.jad.2019.08.040

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Introduction Identifying phenotypic manifestations of genetic risk for bipolar disorder (BD) in childhood could increase our understanding of aetiological mechanisms. Aims To examine whether BD genetic risk is associated with childhood (age 8 years) cognitive function. Methods Using data from the Avon Longitudinal Study of Parents and Children, we examined associations between polygenic risk scores for BD (BD-PRS) derived using Psychiatric Genomics Consortium summary data at p-thresholds (PT) ≤0.01 (primary) and ≤0.5 (secondary) and several cognitive domains (sample sizes 5,613 to 5,936). We also examined whether associations were due to SNPs that have shared risk effects on schizophrenia (SZ). Results At PT≤0.01, the BD-PRS was associated with poorer executive functioning (ß= -0.03, 95%CI -0.06, -0.01; p = 0.013), and, more weakly with poorer processing speed (ß = -0.02, 95%CI -0.05, 0.02; p = 0.075). Evidence of association with both poorer processing speed (p = 0.016) and performance IQ (p = 0.018) was stronger at PT≤0.5. Associations with performance IQ and processing speed were primarily driven by genetic effects that are shared with SZ risk, but there was some evidence of bipolar-specific genetic effects on childhood executive functioning. Limitations The BD-PRS still explains only a small proportion of the variance for BD which will have reduced power to detect associations. Conclusions Genetic risk for BD manifests as impaired cognition in childhood, and this is driven by risk SNPs that are also shared with SZ genetic risk. Further elucidation of which cognitive domains are most affected by genetic risk for BD could help understanding of aetiology and improve prediction of BD.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Publisher: Elsevier
ISSN: 0165-0327
Date of First Compliant Deposit: 21 August 2019
Date of Acceptance: 17 August 2019
Last Modified: 16 Nov 2023 18:30

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