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Update on research into the genetics and pharmacogenetics of bipolar disorder
1Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, München - Germany
2MSc in Bioinformatics for Health Sciences, Pompeu Fabra University, Barcelona - Spain
Dusunen Adam The Journal of Psychiatry and Neurological Sciences 2017; 3(30): 165-169 DOI: 10.5350/DAJPN20173003001
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Genetic Epidemiology of Bipolar Disorder

Bipolar disorder (BD) is a severe mental disorder that is characterized by recurrent episodes of mania, and depression. The phenotypic expression can be complemented by suicidal behavior, psychosis, comorbid anxiety, substance abuse, and rapid cycling (1). With a prevalence of ~1% and high risk of morbidity, it is a major health problem (2).

BD has been shown to be a highly heritable disease, with concordance rates being ~85% within twin studies (3). As in other psychiatric disorders, polygenic components have a role in the liability of the disorder. The combination of both genetic and environmental effects influence the risk of developing the disorder. Up to date, there have been several studies of BD including linkage analysis, candidate gene studies, and genome-wide association studies (GWAS). Moreover, it has been established that there is a genetic correlation between BD and schizophrenia conferred by common genetic variation, so called single nucleotide polymorphisms (SNPs), suggesting a shared genetic etiology between these diagnostic entities (4). Yet, our knowledge of the role of genetic factors in susceptibility of BD is still limited.

Given the fact that BD is a highly heterogeneous disorder, studies with more homogenized groups that gather samples with more specific properties, such as subphenotypes of BD or patients positively responsive to specific drug treatments, may help improve the efficiency of studies.

Main challenges in the treatment of BD, as in other disorders, are the differences of response to treatment within patients. Furthermore, adverse events and metabolic conditions caused by mood stabilizers and/or antipsychotic drugs can affect the treatment procedure of a patient (5).

Genetic Studies of the Bipolar Disorder


Genetic studies of bipolar disorder initially focused on candidate gene studies. With the turn of the millennium, large-scale genome-wide association studies (GWAS) have increasingly replaced small and thus underpowered case-control candidate gene association studies (4). Up to date, GWAS have robustly identified 18 significant loci (6). One of the most important and well-known GWAS findings were CACNA1C and ANK3 (7). CACNA1C encodes a plasma membrane L-type Ca2+ channel whereas ANK3 encodes ankyrin G that anchors sodium and potassium channels in neurons.

Pharmacogenetic Studies in Bipolar Disorder

Pharmacogenetics aims to identify how genetic variations affect the response to drugs and adverse events observed during the treatment. By doing so, the ultimate goal is to fulfill the promise of personalized treatment, also known as precision medicine. For pharmacogenetics studies to be successful, large sample sizes are required (as is true for any psychiatric genetic study). Furthermore, in pharmacogenetic studies, it is imperative to follow a strict research protocol and stringent phenotype characterization that can be reliably be performed across collaborating centers (5).

For more than 60 years, lithium has been used as first-line medication in treatment of BD as a mood stabilizer (8). Lithium is suggested to be involved in several signaling pathways and in the modulation processes of apoptosis, neuroprotection, neural plasticity, neurotransmission and circadian rhythms (9). The exact mechanism of action, however, has remained elusive thus far. One of the very first hypotheses for explaining how lithium acts is through inositol depletion (10). Lithium causes reduction of IMPase and phosphatases inositol-1,4 biphosphate 1-phosphatase; which are two crucial enzymes of inositol phosphate pathway. This results in an overall reduction of myoinositol levels in the system. Compared with other mood stabilizers, myoinositol levels have been reported to decrease only under lithium administration. Nevertheless, the relationship between this pathway and clinical responses of BD is still unclear (10).

Another well-studied target of lithium is glycogen synthase kinase 3 enzyme. When the enzyme is inhibited in the system, lithium affects several transcription factors and the Wnt signaling pathway, which are the downstream targets of this enzyme. Furthermore, lithium acts upon voltage-gated sodium channels and causes reduction of sodium influx, leading to decreased intracellular sodium levels, a property that has been observed for other mood stabilizers as well. Several other studies suggest that lithium has a role in neuroprotection and neural plasticity through reducing glutamergic activity, inhibiting pro-apoptotic factors, increasing antioxidant enzyme levels, and modulating mitochondrial activity (9).

Treatment response to lithium is quite heterogeneous, with roughly one third of patients showing excellent response and the remainder showing only partial response or no response at all. Patients may respond to lithium treatment in a short or long time, and there are varying adverse effects such as weight gain, tremor, chronic kidney disease, or hypothyroidism (9). Furthermore; response to lithium varies according to family history which underscores the important role of genetic factors; BD patients responding well to lithium typically show a high familial loading for BD (11). Other studies focusing on response to other treatments of BD, such as lamotrigine or divalproex, proposed that patients responding well to these drugs have a clinical phenotype and underlying biology that are completely different from those of lithium responders. Identification of heritable factors in relation to response to treatment is therefore important, and such information may eventually be used to guide the choice of medication choice (8).

Genome-wide Association Studies of Lithium


Pharmacogenomics studies of BD have so far focused mostly on lithium response. Most findings from candidate gene studies highlighted genes involved in inositol signaling pathway, circadian signaling system and several transmitter systems such as adrenergic, noradrenergic, dopaminergic etc (5). However, most of these findings were based on extremely small samples and failed to withstand correction for multiple testing or could not be replicated.

With regards to GWAS of lithium response, the first published study was based on 1,177 BD patients who received lithium, in which no SNP was found to reach genome-wide significance threshold (12). Subsequently, three other GWAS have been published on lithium response. One of them was a genome-wide study performed on 52 BD patients who were at the extreme ends of a 10-point treatment response scale of lithium. Among associated SNPs identified, selected ones were validated. The ACCN1 gene was found to play a possible role in lithium response, although the necessity of replication in a larger sample size was noted as well (13). The second GWAS in this list is from a Taiwanese group; they reported genome-wide significance for a SNP in the glutamate decarboxylase-like protein 1 gene (GADL1) that is only present in Asians. However, this finding could not be replicated in other independent samples from Asia (14). Finally, the largest GWAS of lithium response so far is the study of the Consortium on Lithium Genetics (ConLiGen; www.ConLiGen.org). ConLiGen was founded to conduct high quality, well-powered association studies of lithium treatment response (4). The ConLiGen study included over 2500 BD patients from more than 20 centers from 4 continents. Four SNPs in high linkage disequilibrium with each other reached genome-wide significance; they are located in a region coding for long, non-coding RNA (lncRNA) on chromosome 21 (15). While the specific role of this locus for lithium’s mechanism of action has yet to be elucidated in subsequent studies, lncRNAs have been implicated in mechanisms of DNA regulation (16,17).

The Next Frontier: Next Generation

Sequencing of Bipolar Disorder

The rapid advances in DNA sequencing technologies, followed by decrease in cost, have propelled large-scale sequencing studies. Whole exome sequencing (WES) and whole genome sequencing (WGS) technologies offer the prospect of major advances in the field, such as detecting the frequency and penetrance of variants, clarifying the relationship within the variants, further examining the importance of interaction between gene and environment. This kind of information is crucial for psychiatric genetics as it may help to further our understanding of etiology and to personalize therapies and potentially risk predictions (18). Many studies of WES and WGS are ongoing, and several informative preliminary data related with pathways involved in BD have already been published (19).

Whole Exome Sequencing

One of the first WES blended sequencing with pathway analyses in around 300 samples to analyze rare variants. The most significant pathway they found was MAPK signaling, in which genes coding for neuronal synapses were located, including CACNA1C (20).

Another study conducted WES on families with high incidence of BD and good response to lithium monotherapy. Samples from multigenerational family members with 36 total individuals per family were sampled and sequenced along with unaffected members who were used as controls (1). A missense mutation was identified in gene ZNF259, segregating in affected individuals only within the family, which further requires validation in a larger cohort (2).

The role of rare variants within BD was proposed by several studies, including a WGS study of 200 individuals from 41 bipolar families in which rare variants are shown to influence the neuronal excitability related genes such as calcium channel encoding ones (21). In addition, recent studies focused on the contribution of de novo mutations to the risk of BD, including de novo copy number variations (CNVs), which have been reported by many studies to have correlation with early onset of BD, compared to non-carriers (22,23). A WES study of BD, investigating the effect of de novo mutations upon disease etiology, identified 71 de novo point mutations and one de novo CNV in 79 BD probands, analyzing 237 exomes. Among these, loss-of-function and protein-altering mutations were located at genes that are highly intolerant to functional variations. While large-scale studies are required to truly understand their pathogenic role, considering the statistical significance and similar WES results of de novo mutations in autism and schizophrenia, these observations are a promising first step (24,25).

Whole Genome Sequencing

Thus far, two studies have been reported on whole genome sequencing of BD patients (4). The first was performed in an isolated population, the Old Order Amish in North America. Applying a parent-child trio design, 50 individuals were selected for WGS from the pedigree. 30 non-synonymous, possibly deleterious variants were identified, which were rare according to the 1000 Genomes Project but found in 10-30% of patients and their first-degree relatives (26). Another study used BD whole genome sequence data to focus on variants in intronic and non-coding regions of CACNA1C and ANK3, two best-replicated susceptible genes of BD. The study was based on 99 individuals with an early age at onset and positive family history of BD. Based on the phenotypic observations of BD, in which there is full recovery between two states, it was suggested that the etiological base-pair changes could be affecting gene expression and mRNA translation rather than causing structural changes in proteins. Potential novel variants identified further need replication and validation in independent samples (27).


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