Abstract

Bipolar disorder (BD) is a highly heritable mental disorder and is estimated to affect about 50 million people worldwide. Our understanding of the genetic etiology of BD has greatly increased in recent years with advances in technology and methodology as well as the adoption of international consortiums and large population-based biobanks. It is clear that BD is also highly heterogeneous and polygenic and shows substantial genetic overlap with other psychiatric disorders. Genetic studies of BD suggest that the number of associated loci is expected to substantially increase in larger future studies and with it, improved genetic prediction of the disorder. Still, a number of challenges remain to fully characterize the genetic architecture of BD. First among these is the need to incorporate ancestrally-diverse samples to move research away from a Eurocentric bias that has the potential to exacerbate health disparities already seen in BD. Furthermore, incorporation of population biobanks, registry data, and electronic health records will be required to increase the sample size necessary for continued genetic discovery, while increased deep phenotyping is necessary to elucidate subtypes within BD. Lastly, the role of rare variation in BD remains to be determined. Meeting these challenges will enable improved identification of causal variants for the disorder and also allow for equitable future clinical applications of both genetic risk prediction and therapeutic interventions.

Highlights

  • Affective disorders are classified along a spectrum from unipolar depression to bipolar disorder (BD) type II and type I (Carvalho, Firth, & Vieta, 2020; Grande, Berk, Birmaher, & Vieta, 2016)

  • It has been well-established that familial risk of BD correlates with increased familial risk of other psychiatric disorders such as schizophrenia, depression, anxiety, drug abuse, attentiondeficit hyperactivity disorder (ADHD), personality disorders, and autism spectrum disorder (ASD) (Craddock & Sklar, 2013; Kendler et al, 2020; Song et al, 2015)

  • Computationally-efficient methods, such as linkage disequilibrium score regression (LDSC), have been developed to estimate both heritability and genetic correlation captured by the single nucleotide polymorphisms (SNPs) which are common locations in the genome where variation occurs between individuals and are measured on a genotyping array (Bulik-Sullivan et al, 2015a)

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Summary

Invited Review

Cite this article: O’Connell KS, Coombes BJ (2021). Genetic contributions to bipolar disorder: current status and future directions. Received: 6 October 2020 Revised: 12 March 2021 Accepted: 19 March 2021 First published online: 21 April 2021

Definition of illness
Family studies
Common variants
Genetic overlap
European European
Rare variants
Copy number variants
Genetic interactions
Clinical implications
Risk prediction
Clinical heterogeneity
Future directions
Diverse phenotype ascertainment
Increased deep phenotyping
Larger sequencing efforts
Findings
Conclusion
Full Text
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