Genomic and neuroimaging approaches to bipolar disorder

• Published in: BJPsych open Vol. 8; no. 2; p. e36
• Main Authors: Oraki Kohshour, Mojtaba, Papiol, Sergi, Ching, Christopher R. K., Schulze, Thomas G.
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 01.03.2022
• Subjects: Bipolar disorder; Brain research; Gene expression; Genetics; genome-wide association studies; Genomes; Health risk assessment; Heart attacks; Mental disorders; Neuroimaging; Polymorphism; Power; Review; Sample size; whole-exome sequencing; whole-genome sequencing; Bipolar disorder; genome-wide association studies; whole-exome sequencing; whole-genome sequencing; neuroimaging
• ISSN: 2056-4724; 2056-4724
• DOI: 10.1192/bjo.2021.1082

To date, besides genome-wide association studies, a variety of other genetic analyses (e.g. polygenic risk scores, whole-exome sequencing and whole-genome sequencing) have been conducted, and a large amount of data has been gathered for investigating the involvement of common, rare and very rare types of DNA sequence variants in bipolar disorder. Also, non-invasive neuroimaging methods can be used to quantify changes in brain structure and function in patients with bipolar disorder. To provide a comprehensive assessment of genetic findings associated with bipolar disorder, based on the evaluation of different genomic approaches and neuroimaging studies. We conducted a PubMed search of all relevant literatures from the beginning to the present, by querying related search strings. ANK3, CACNA1C, SYNE1, ODZ4 and TRANK1 are five genes that have been replicated as key gene candidates in bipolar disorder pathophysiology, through the investigated studies. The percentage of phenotypic variance explained by the identified variants is small (approximately 4.7%). Bipolar disorder polygenic risk scores are associated with other psychiatric phenotypes. The ENIGMA-BD studies show a replicable pattern of lower cortical thickness, altered white matter integrity and smaller subcortical volumes in bipolar disorder. The low amount of explained phenotypic variance highlights the need for further large-scale investigations, especially among non-European populations, to achieve a more complete understanding of the genetic architecture of bipolar disorder and the missing heritability. Combining neuroimaging data with genetic data in large-scale studies might help researchers acquire a better knowledge of the engaged brain regions in bipolar disorder.