4.5 Review

A systematic review of associations between functional MRI activity and polygenic risk for schizophrenia and bipolar disorder

Journal

BRAIN IMAGING AND BEHAVIOR
Volume 13, Issue 3, Pages 862-877

Publisher

SPRINGER
DOI: 10.1007/s11682-018-9879-z

Keywords

Polygenic risk score (PGRS); Functional magnetic resonance imaging (fMRI); Schizophrenia; Bipolar disorder; Psychosis; Cognition

Categories

Funding

  1. National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King's College London
  2. Psychiatry Research Trust [92 Branthwaite]
  3. Brain Behavior Foundation [22471]

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Genetic factors account for up to 80% of the liability for schizophrenia (SCZ) and bipolar disorder (BD). Genome-wide association studies have successfully identified several genes associated with increased risk for both disorders. This has allowed researchers to model the aggregate effect of genes associated with disease status and create a polygenic risk score (PGRS) for each individual. The interest in imaging genetics using PGRS has grown in recent years, with several studies now published. We have conducted a systematic review to examine the effects of PGRS of SCZ, BD and cross psychiatric disorders on brain function and connectivity using fMRI data. Results indicate that the effect of genetic load for SCZ and BD on brain function affects task-related recruitment, with frontal areas having a more prominent role, independent of task. Additionally, the results suggest that the polygenic architecture of psychotic disorders is not regionally confined but impacts on the task-dependent recruitment of multiple brain regions. Future imaging genetics studies with large samples, especially population studies, would be uniquely informative in mapping the spatial distribution of the genetic risk to psychiatric disorders on brain processes during various cognitive tasks and may lead to the discovery of biological pathways that could be crucial in mediating the link between genetic factors and alterations in brain networks.

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