Skip to main content

The Role of Genetics in Bipolar Disorder

  • Chapter
  • First Online:
Bipolar Disorder: From Neuroscience to Treatment

Part of the book series: Current Topics in Behavioral Neurosciences ((CTBN,volume 48))

Abstract

Bipolar disorder (BP) is a highly heritable disease, with heritability estimated between 60 and 85% by twin studies. The underlying genetic architecture was poorly understood for years since the available technology was limited to the candidate gene approach that did not allow to explore the contribution of multiple loci throughout the genome. BP is a complex disorder, which pathogenesis is influenced by a number of genetic variants, each with small effect size, and environmental exposures. Genome-wide association studies (GWAS) provided meaningful insights into the genetics of BP, including replicated genetic variants, and allowed the development of novel multi-marker methods for gene/pathway analysis and for estimating the genetic overlap between BP and other traits. However, the existing GWAS had also relevant limitations. Notably insufficient statistical power and lack of consideration of rare variants, which may be responsible for the relatively low heritability explained (~20% in the largest GWAS) compared to twin studies. The availability of data from large biobanks and automated phenotyping from electronic health records or digital phenotyping represent key steps for providing samples with adequate power for genetic analysis. Next-generation sequencing is becoming more and more feasible in terms of costs, leading to the rapid growth in the number of samples with whole-genome or whole-exome sequence data. These recent and unprecedented resources are of key importance for a more comprehensive understanding of the specific genetic factors involved in BP and their mechanistic action in determining disease onset and prognosis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Arango C, Fraguas D, Parellada M (2014) Differential neurodevelopmental trajectories in patients with early-onset bipolar and schizophrenia disorders. Schizophr Bull 40(Suppl 2):S138–S146

    PubMed  Google Scholar 

  • Barnett JH, Smoller JW (2009) The genetics of bipolar disorder. Neuroscience 164(1):331–343

    CAS  PubMed  PubMed Central  Google Scholar 

  • Baum AE, Akula N, Cabanero M, Cardona I, Corona W, Klemens B et al (2008a) A genome-wide association study implicates diacylglycerol kinase eta (DGKH) and several other genes in the etiology of bipolar disorder. Mol Psychiatry 13(2):197–207

    CAS  PubMed  Google Scholar 

  • Baum AE, Hamshere M, Green E, Cichon S, Rietschel M, Noethen MM et al (2008b) Meta-analysis of two genome-wide association studies of bipolar disorder reveals important points of agreement. Mol Psychiatry 13(5):466–467

    CAS  PubMed  PubMed Central  Google Scholar 

  • Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium (2018) Genomic dissection of bipolar disorder and schizophrenia, including 28 subphenotypes. Cell 173(7):1705–1715.e16

    PubMed Central  Google Scholar 

  • Brainstorm Consortium, Anttila V, Bulik-Sullivan B, Finucane HK, Walters RK, Bras J et al (2018) Analysis of shared heritability in common disorders of the brain. Science 360(6395):eaap8757

    Google Scholar 

  • Bulik-Sullivan BK, Loh P-R, Finucane HK, Ripke S, Yang J, Patterson N et al (2015a) LD score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat Genet 47(3):291–295

    CAS  PubMed  PubMed Central  Google Scholar 

  • Bulik-Sullivan B, Finucane HK, Anttila V, Gusev A, Day FR, Loh P-R et al (2015b) An atlas of genetic correlations across human diseases and traits. Nat Genet 47(11):1236–1241

    CAS  PubMed  PubMed Central  Google Scholar 

  • Calafato MS, Thygesen JH, Ranlund S, Zartaloudi E, Cahn W, Crespo-Facorro B et al (2018) Use of schizophrenia and bipolar disorder polygenic risk scores to identify psychotic disorders. Br J Psychiatry 213(3):535–541

    PubMed  PubMed Central  Google Scholar 

  • Charney AW, Ruderfer DM, Stahl EA, Moran JL, Chambert K, Belliveau RA et al (2017) Evidence for genetic heterogeneity between clinical subtypes of bipolar disorder. Transl Psychiatry 7(1):e993

    CAS  PubMed  PubMed Central  Google Scholar 

  • Chen DT, Jiang X, Akula N, Shugart YY, Wendland JR, Steele CJM et al (2013) Genome-wide association study meta-analysis of European and Asian-ancestry samples identifies three novel loci associated with bipolar disorder. Mol Psychiatry 18(2):195–205

    CAS  PubMed  Google Scholar 

  • Chen C-Y, Lee PH, Castro VM, Minnier J, Charney AW, Stahl EA et al (2018) Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records. Transl Psychiatry 8(1):86

    PubMed  PubMed Central  Google Scholar 

  • Cichon S, Mühleisen TW, Degenhardt FA, Mattheisen M, Miró X, Strohmaier J et al (2011) Genome-wide association study identifies genetic variation in neurocan as a susceptibility factor for bipolar disorder. Am J Hum Genet 88(3):372–381

    CAS  PubMed  PubMed Central  Google Scholar 

  • Cruceanu C, Schmouth J-F, Torres-Platas SG, Lopez JP, Ambalavanan A, Darcq E et al (2018) Rare susceptibility variants for bipolar disorder suggest a role for G protein-coupled receptors. Mol Psychiatry 23(10):2050–2056

    CAS  PubMed  Google Scholar 

  • Ferreira MAR, O’Donovan MC, Meng YA, Jones IR, Ruderfer DM, Jones L et al (2008) Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder. Nat Genet 40(9):1056–1058

    CAS  PubMed  PubMed Central  Google Scholar 

  • Fries GR, Li Q, McAlpin B, Rein T, Walss-Bass C, Soares JC et al (2016) The role of DNA methylation in the pathophysiology and treatment of bipolar disorder. Neurosci Biobehav Rev 68:474–488

    CAS  PubMed  PubMed Central  Google Scholar 

  • Green EK, Hamshere M, Forty L, Gordon-Smith K, Fraser C, Russell E et al (2013) Replication of bipolar disorder susceptibility alleles and identification of two novel genome-wide significant associations in a new bipolar disorder case-control sample. Mol Psychiatry 18(12):1302–1307

    CAS  PubMed  Google Scholar 

  • Green EK, Rees E, Walters JTR, Smith K-G, Forty L, Grozeva D et al (2016) Copy number variation in bipolar disorder. Mol Psychiatry 21(1):89–93

    CAS  PubMed  Google Scholar 

  • Hou L, Bergen SE, Akula N, Song J, Hultman CM, Landén M et al (2016) Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder. Hum Mol Genet 25(15):3383–3394

    CAS  PubMed  PubMed Central  Google Scholar 

  • Ikeda M, Takahashi A, Kamatani Y, Okahisa Y, Kunugi H, Mori N et al (2018) A genome-wide association study identifies two novel susceptibility loci and trans population polygenicity associated with bipolar disorder. Mol Psychiatry 23(3):639–647

    CAS  PubMed  Google Scholar 

  • Insel TR (2018) Digital phenotyping: a global tool for psychiatry. World Psychiatry 17(3):276–277

    PubMed  PubMed Central  Google Scholar 

  • Keller MC (2018) Evolutionary perspectives on genetic and environmental risk factors for psychiatric disorders. Annu Rev Clin Psychol 14:471–493

    PubMed  Google Scholar 

  • Lewis CM, Vassos E (2017) Prospects for using risk scores in polygenic medicine. Genome Med 9(1):96

    PubMed  PubMed Central  Google Scholar 

  • Lobo I (2008) Three individuals carry the same disease-causing mutation; two suffer from the disease but exhibit different symptoms, while the third is completely unaffected. Why? Nat Educ 1(1):64

    Google Scholar 

  • Mertens J, Wang Q-W, Kim Y, Yu DX, Pham S, Yang B et al (2015) Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder. Nature 527(7576):95–99

    CAS  PubMed  PubMed Central  Google Scholar 

  • Misiak B, Stramecki F, Gawęda Ł, Prochwicz K, Sąsiadek MM, Moustafa AA et al (2018) Interactions between variation in candidate genes and environmental factors in the etiology of schizophrenia and bipolar disorder: a systematic review. Mol Neurobiol 55(6):5075–5100

    CAS  PubMed  Google Scholar 

  • Mühleisen TW, Leber M, Schulze TG, Strohmaier J, Degenhardt F, Treutlein J et al (2014) Genome-wide association study reveals two new risk loci for bipolar disorder. Nat Commun 5:3339

    PubMed  Google Scholar 

  • National Institute of Health (NIH) (2019) All of us. https://www.joinallofus.org/en/biobank. Accessed 21 Nov 2019

  • Pagoni P, Dimou NL, Murphy N, Stergiakouli E (2019) Using Mendelian randomisation to assess causality in observational studies. Evid Based Ment Health 22(2):67–71

    PubMed  Google Scholar 

  • Plomin R, Deary IJ (2015) Genetics and intelligence differences: five special findings. Mol Psychiatry 20(1):98–108

    CAS  PubMed  Google Scholar 

  • Psychiatric GWAS Consortium Bipolar Disorder Working Group (2011) Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nat Genet 43(10):977–983

    Google Scholar 

  • Ransohoff JD, Wei Y, Khavari PA (2018) The functions and unique features of long intergenic non-coding RNA. Nat Rev Mol Cell Biol 19(3):143–157

    CAS  PubMed  Google Scholar 

  • Rao AR, Yourshaw M, Christensen B, Nelson SF, Kerner B (2017) Rare deleterious mutations are associated with disease in bipolar disorder families. Mol Psychiatry 22(7):1009–1014

    CAS  PubMed  Google Scholar 

  • Scott LJ, Muglia P, Kong XQ, Guan W, Flickinger M, Upmanyu R et al (2009) Genome-wide association and meta-analysis of bipolar disorder in individuals of European ancestry. Proc Natl Acad Sci U S A 106(18):7501–7506

    CAS  PubMed  PubMed Central  Google Scholar 

  • Sklar P, Smoller JW, Fan J, MAR F, Perlis RH, Chambert K et al (2008) Whole-genome association study of bipolar disorder. Mol Psychiatry 13(6):558–569

    CAS  PubMed  PubMed Central  Google Scholar 

  • Smith EN, Bloss CS, Badner JA, Barrett T, Belmonte PL, Berrettini W et al (2009) Genome-wide association study of bipolar disorder in European American and African American individuals. Mol Psychiatry 14(8):755–763

    CAS  PubMed  PubMed Central  Google Scholar 

  • Smoller JW, Finn CT (2003) Family, twin, and adoption studies of bipolar disorder. Am J Med Genet C Semin Med Genet 123C(1):48–58

    PubMed  Google Scholar 

  • So H-C, Chau K-L, Ao F-K, Mo C-H, Sham P-C (2019) Exploring shared genetic bases and causal relationships of schizophrenia and bipolar disorder with 28 cardiovascular and metabolic traits. Psychol Med 49(8):1286–1298

    PubMed  Google Scholar 

  • Stahl EA, Breen G, Forstner AJ, McQuillin A, Ripke S, Trubetskoy V et al (2019) Genome-wide association study identifies 30 loci associated with bipolar disorder. Nat Genet 51(5):793–803

    CAS  PubMed  PubMed Central  Google Scholar 

  • Sullivan PF, Agrawal A, Bulik CM, Andreassen OA, Børglum AD, Breen G et al (2018) Psychiatric genomics: an update and an agenda. Am J Psychiatry 175(1):15–27

    PubMed  Google Scholar 

  • The 1000 Genomes Project Consortium (2015) A global reference for human genetic variation. Nature 526(7571): 68–74

    Google Scholar 

  • UK Biobank (2019) UK Biobank: improving the health of future generations. https://www.ukbiobank.ac.uk. Accessed 21 Nov 2019

  • Viñas-Jornet M, Esteba-Castillo S, Gabau E, Ribas-Vidal N, Baena N, San J et al (2014) A common cognitive, psychiatric, and dysmorphic phenotype in carriers of NRXN1 deletion. Mol Genet Genomic Med 2(6):512–521

    PubMed  PubMed Central  Google Scholar 

  • Viñas-Jornet M, Esteba-Castillo S, Baena N, Ribas-Vidal N, Ruiz A, Torrents-Rodas D et al (2018) High incidence of copy number variants in adults with intellectual disability and co-morbid psychiatric disorders. Behav Genet 48(4):323–336

    PubMed  PubMed Central  Google Scholar 

  • Visscher PM, Wray NR, Zhang Q, Sklar P, McCarthy MI, Brown MA et al (2017) 10 years of GWAS discovery: biology, function, and translation. Am J Hum Genet 101(1):5–22

    CAS  PubMed  PubMed Central  Google Scholar 

  • Vreeker A, Boks MPM, Abramovic L, Verkooijen S, van Bergen AH, Hillegers MHJ et al (2016) High educational performance is a distinctive feature of bipolar disorder: a study on cognition in bipolar disorder, schizophrenia patients, relatives and controls. Psychol Med 46(4):807–818

    CAS  PubMed  Google Scholar 

  • Wellcome Trust Case Control Consortium (2007) Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447(7145):661–678

    Google Scholar 

  • Zwicker A, Denovan-Wright EM, Uher R (2018) Gene-environment interplay in the etiology of psychosis. Psychol Med 48(12):1925–1936

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chiara Fabbri .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Fabbri, C. (2020). The Role of Genetics in Bipolar Disorder. In: Young, A.H., Juruena, M.F. (eds) Bipolar Disorder: From Neuroscience to Treatment. Current Topics in Behavioral Neurosciences, vol 48. Springer, Cham. https://doi.org/10.1007/7854_2020_153

Download citation

Publish with us

Policies and ethics