DNA helix rollercoaster representing the genetic search for bipolar disorder.

Unlocking Bipolar Disorder: Can Genetics Lead the Way?

"A new study dives deep into the exome to find potential genetic risk factors for bipolar disorder, offering hope for early detection and personalized treatments."


Bipolar I disorder (BD) is a complex mental health condition marked by dramatic shifts in mood, swinging between highs of mania and lows of depression. These mood swings can significantly disrupt daily life, impacting relationships, work, and overall well-being. The condition often emerges in early adulthood and can lead to severe consequences if left unmanaged; up to 15% of those affected may consider suicide.

While the exact causes of bipolar disorder are still being investigated, research strongly suggests a genetic component. Family, twin, and adoption studies have consistently shown that genes play a significant role in determining who develops the condition. This has spurred scientists to search for specific genes that contribute to the risk of bipolar disorder, hoping to unlock new avenues for treatment and prevention.

Now, a new study published in Translational Psychiatry explores the role of rare genetic variants in bipolar disorder. By sequencing the entire exome (the protein-coding part of the genome) of individuals with bipolar disorder and comparing them to healthy controls, researchers are uncovering potential genetic risk factors that could revolutionize our understanding and treatment of this challenging condition.

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Exome Sequencing: Promise and Limits

Exome sequencing has been used to investigate bipolar disorder (BD), whose genetic architecture remains elusive despite numerous genetic studies. One study sequenced eight multiplex families as an initial discovery strategy, then tested findings in a case-control meta-analysis of 3,541 BD cases and 4,774 controls. The analysis did not reach the exome-wide threshold for association, and its authors emphasized that larger samples are needed. The Bipolar Exome Sequencing (BipEx) consortium describes its work as an international effort to aggregate, generate, and analyze exome data to advance gene discovery.

Progress in Mapping Bipolar Disorder Genetics

Bipolar disorder is highly heritable, but identifying its genetic basis has been challenging. Genome-wide association studies (GWAS) have helped identify common-variant signals, and a 2025 review describes substantial recent progress in understanding genetic etiology and underlying biological processes. The latest GWAS polygenic score may provide a means to capture some of this genetic contribution. Researchers have also recognized that clinical heterogeneity and genetic overlap with schizophrenia, schizoaffective disorder, and major depressive disorder complicate the choice of phenotype for genetic studies.

Searching for Risk Genes in the Exome

DNA helix rollercoaster representing the genetic search for bipolar disorder.

The study, conducted by researchers in France, involved sequencing the exomes of 92 individuals diagnosed with bipolar I disorder and comparing them to 1051 control individuals of French ancestry. To increase the likelihood of finding relevant genetic variants, the researchers focused on individuals with an "extreme phenotype" – those who experienced an earlier onset of bipolar disorder and had a strong family history of mood disorders.

The researchers used a technique called "collapsing strategy" to analyze the data. This involved grouping together rare genetic variants within each gene and then comparing the overall burden of these rare variants between the bipolar disorder group and the control group. Only variants predicted to have a damaging effect on protein function were included in the analysis.

  • Whole-Exome Sequencing (WES): Analyzing the entire protein-coding region of the genome to identify rare variants.
  • Collapsing Strategy: Grouping rare variants within genes to increase statistical power.
  • Extreme Phenotype: Focusing on individuals with early onset and strong family history to enrich for genetic factors.
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An Evolving Picture of Genetic Architecture

A review of bipolar disorder genetics highlights its complex architecture across common and rare variants, while the supplied excerpt reports that a 2018 study with 92 cases and 1,051 controls found no exome-wide significant genes. Another review snippet notes an association between ARHGAP9 and bipolar disorder in research concerning early disease onset. These findings point to varied lines of investigation, but the supplied material does not establish a single genetic result as definitive. A 2026 paper is described as combining whole-exome sequencing with structural analysis in psychiatric research.

Promising Leads, Not Settled Answers

A whole-exome sequencing study identified genes that its authors said could be considered potential bipolar disorder risk factors warranting further investigation. A 2024 review describes advances in genome-wide association studies, polygenic risk scores, and high-throughput sequencing as helping map the disorder’s genetic model, while noting that genetic clues and associations have been identified. The supplied evidence therefore supports ongoing discovery, but does not establish those candidate genes as confirmed causes. A separate review cautions that variants in well-known disease genes can produce very different clinical phenotypes depending on the variant’s position or type.

The study identified 13 genes that showed a suggestive association with bipolar disorder, meaning they had a higher burden of rare, damaging variants in the bipolar disorder group compared to the control group. While these genes didn't reach the stringent threshold required to declare genome-wide significance, they offer promising leads for future research.

What Does This Mean for Bipolar Disorder?

The identified genes are involved in various brain processes, some of which have been previously linked to bipolar disorder. Interestingly, several of these genes belong to pathways that are affected by lithium, a common mood stabilizer used to treat bipolar disorder. This suggests that these genes may play a role in how lithium exerts its therapeutic effects.

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Family Studies and Broader Testing

A 2018 study sought potential bipolar disorder susceptibility variants by combining exome sequencing and linkage analysis in six related cases from a four-generation family. A separate familial exome study examined rare variants that segregated in affected members of eight multiplex families, tested them in three independent samples, and then conducted association testing in a large case-control meta-analysis. Together, these examples show how family-based discovery can be followed by testing in broader samples. The supplied descriptions frame the findings as potential susceptibility variants and a research strategy, rather than established clinical explanations.

Investigating Rare and De Novo Variation

A review of bipolar disorder genetics points to exome sequencing as a way to study rare variation alongside common variants. It specifically highlights research on de novo loss-of-function and protein-altering mutations as relevant to bipolar disorder. This makes rare and newly arising variants a research direction for clarifying the disorder’s genetic architecture, though the supplied source does not establish a clinical application or a settled conclusion.

A Heritable Disorder with Broad Impact

Bipolar disorder is described as a complex neuropsychiatric condition involving recurrent episodes of mania and depression. The cited study reports a lifetime prevalence of 1% and estimated heritability of approximately 60–85%. It also notes that the World Health Organization ranks bipolar disorder among the largest contributors to the global burden of disease. These figures underscore why researchers are investigating genetic factors in a condition with substantial human and public-health impact.

While the study didn't pinpoint any single gene with conclusive evidence, it highlights the potential of using whole-exome sequencing to uncover genetic risk factors for bipolar disorder. The findings suggest that a combination of rare genetic variants may contribute to the development of the condition, rather than a single, dominant gene.

The researchers emphasize that larger studies are needed to confirm these findings and identify additional risk genes. However, this study represents an important step forward in understanding the genetic basis of bipolar disorder, paving the way for more targeted and personalized treatments in the future. Imagine a future where genetic testing can help identify individuals at risk for bipolar disorder, allowing for early intervention and potentially preventing the onset of the condition. This research brings us closer to that reality.

How large were the candidate-gene associations?

  • 3 to 23.7; three infinite odds ratioFor ten candidate genes, the reported odds ratios ranged from 3 to 23.7; three other genes had infinite odds ratios because no control participants carried variants in them. These estimates accompany suggestive signals, not associations that passed the study’s exome-wide significance threshold.[1] [2]Caveat: The associations did not reach the exome-wide threshold.

Limits raised by the study and related work

  • Rare variants are difficult to assess in case–control comparisons because many occur too infrequently to support reliable association estimates.[1]
  • The authors said the sample size was insufficient for firm association claims and that larger samples would be needed.[2]
  • Comparisons with ExAC could not support firm conclusions because population differences, coverage biases, and missing individual-level allele data complicated the estimates.[1]
  • A separate analysis could not compare MYOE1 with the ExAC reference because that population had too few variants in the gene.[1]
Study at a glance
Study designObservational study[2]
Sample size92 BD patients and 1051 controls[2]
SettingCentre Hospitalier du Rouvray and Centre Hospitalier Saint-Anne[2]
Comparison1051 controls[2]
Main outcomeBurden of rare predicted damaging variants in cases versus controls at the gene level[2]
Effect sizeOdds ratios ranged from 3 to 23.7 for 10 genes; three genes had infinite odds ratios[2]
Fundingla Fondation de l’Avenir[2]
Conflicts of interestThe authors declare that they have no conflict of interest.[2]
Times cited21[2]

How this study fits into bipolar genetics

Other exome studies have pursued different designs: one examined de novo mutations in affected probands, while another sequenced members of multiplex families to investigate rare variants. These approaches broaden the search beyond this study’s unrelated case–control comparison.[2] [3] [4]

Questions the findings leave open

  • Do rare variants contribute consistently across genes, or do their effects depend on particular clinical or family contexts?[5]
  • How do rare-variant findings relate to de novo mutations and the gene sets explored in other sequencing studies?[5] [6]

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

This article is based on research published under:

DOI-LINK: 10.1038/s41398-018-0291-7, Alternate LINK

Title: Identification Of Potential Genetic Risk Factors For Bipolar Disorder By Whole-Exome Sequencing

Subject: Biological Psychiatry

Journal: Translational Psychiatry

Publisher: Springer Science and Business Media LLC

Authors: Thomas Husson, Jean-Baptiste Duboc, Olivier Quenez, Camille Charbonnier, Maud Rotharmel, Macarena Cuenca, Xavier Jegouzo, Anne-Claire Richard, Thierry Frebourg, Jean-François Deleuze, Anne Boland, Emmanuelle Genin, Stéphanie Debette, Christophe Tzourio, Dominique Campion, Gaël Nicolas, Olivier Guillin

Published: 2018-12-01

Everything You Need To Know

1

What exactly is Bipolar I disorder, and what are the implications of the condition?

Bipolar I disorder (BD) is a complex mental health condition characterized by dramatic shifts in mood, including periods of mania and depression. The implications of this condition include significant disruptions to daily life, relationships, and overall well-being. Untreated, Bipolar I disorder can lead to severe consequences including suicidal ideation.

2

What is Whole-Exome Sequencing (WES), and how is it used in studying Bipolar I disorder?

Whole-Exome Sequencing (WES) is a technique used to analyze the entire protein-coding region of the genome, called the exome. In the context of understanding Bipolar I disorder, WES is used to identify rare genetic variants that may contribute to the risk of developing the condition. By analyzing the exome, researchers can pinpoint specific genes that could be linked to the disorder, paving the way for targeted treatments.

3

What is the Collapsing Strategy, and why is it used in this research?

The Collapsing Strategy is a method used in genetic studies to analyze the data. It involves grouping together rare genetic variants within each gene and then comparing the overall burden of these variants between different groups of individuals. Researchers used this method to compare individuals with Bipolar I disorder to control individuals. This strategy increases the statistical power to detect associations between genetic variants and the disorder.

4

What is meant by an Extreme Phenotype in the context of this study?

An Extreme Phenotype refers to the characteristics of individuals with an earlier onset of Bipolar I disorder and a strong family history of mood disorders. Researchers focused on this group to enrich for genetic factors, increasing the likelihood of finding relevant genetic variants associated with the condition. This approach helps to narrow the search and identify genes with a greater impact on the development of Bipolar I disorder.

5

What were the key findings regarding the genes associated with Bipolar I disorder?

The study identified 13 genes that showed a suggestive association with Bipolar I disorder. The genes are involved in various brain processes and some have previously been linked to the disorder. Notably, several of these genes belong to pathways that are affected by lithium, a common mood stabilizer. This suggests that the identified genes may play a role in how Lithium exerts its therapeutic effects.

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