GENETICS AND TREATMENT OF BIPOLAR-SPECTRUM DISORDERS
From Advances in Psychopharmacology Throughout the Lifespan, presented by the University of California, San
Diego,School of Medicine
Educational Objectives
The goal of this program is to improve diagnosis and treatment of bipolar-spectrum disorders through a greater understanding
of the role of genetics. After hearing and assimilating this program, the clinician will be better able to:
 | 1. List the possible applications of genetics to psychiatry.
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 | 2. Explain why bipolar disorders are considered part of a spectrum of related mental illnesses.
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 | 3. Describe current research into the genetics of bipolar-spectrum disorders and into treatment response.
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 | 4. Discuss the pharmacogenetics of bipolar-spectrum disorders.
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 | 5. Incorporate genetic information into clinical practice.
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Faculty Disclosure
In adherence to ACCME Standards for Commercial Support, Audio-Digest requires all faculty and members of the planning
committee to disclose relevant financial relationships within the past 12 months that might create any personal conflicts
of interest. Any identified conflicts were resolved to ensure that this educational activity promotes quality in health
care and not a proprietary business or commercial interest. For this program, the following has been disclosed: Dr. Kelsoe is
a stockholder and member of the board of Psynomics. The planning committee reported nothing to disclose.
Acknowledgements
Dr. Kelsoe was recorded at Advances in Psychopharmacology Throughout the Lifespan, held April 24-26, 2008, in
San Diego, CA, and sponsored by the University of California, San Diego, School of Medicine. The Audio-Digest
Foundation thanks Dr. Kelsoe and UCSD School of Medicine for their cooperation in the production of this program.
John R. Kelsoe, MD
Professor of Psychiatry, University of California, San Diego, School of Medicine, La Jolla, CA
| Introduction: pharmacologic treatment of bipolar disorder associated with challenges; limited or incomplete response
in 30% to 50% of patientsinsufficient knowledge of pathophysiology limits rational drug design; current
medications access only limited number of disease targets in brain; limited predictive value of diagnosislimited
longitudinal stability of diagnostic criteria; limited ability to predict treatment response; probably bears limited relationship
to underlying biologic disorder; individual variation in treatment responsecurrently, no effective
method to predict response; treatment process based on trial and error; antidepressant-induced mania
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| Possible applications of genetics to clinical practice: susceptibility geneselucidate disease mechanisms;
find novel targets for drugs that have different mechanisms of action; mechanism-based diagnostic system
treatment more specific to diagnosis; may cut across (ie, complement and supplement) current syndromic diagnoses;
pharmacogenomicsgenetic component to individual variation in response to treatment; identification of
gene variants involved in drug response may enable panel of DNA tests to predict drug response; personalized psycho-pharmacology
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| Bipolar disorder is diagnostic challenge: survey shows 69% of patients misdiagnosed initially; time to accurate
diagnosis averages 7 yr from onset of symptoms; during that time, patients see average of 4 physicians and receive
average of 3.5 inaccurate diagnoses (most commonly depression, followed by anxiety disorder, schizophrenia, borderline
personality disorder (BPD), and antisocial personality disorder)
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| What is the bipolar spectrum? bipolar disorder appears to have relationship to many other psychiatric disorders,
including attention-deficit/hyperactivity disorder (ADHD), panic and anxiety disorders, major depression, migraine,
BPD, and schizophrenia, but those relationships unclear; relationships between bipolar II disorder,
bipolar I disorder, and major depression suggest quantitative aspect to illness
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 | Is bipolar disorder genetic? familial (studies show that family members of person with bipolar disorder are at 7-fold
increased risk of having affective illness, compared to general population); ≈65% of identical twins share bipolar
disorder (concordance rate in fraternal twins, 15%); however, environment also contributes, suggesting disorder
not wholly genetic (currently estimated that bipolar disorder 65% genetic); data show genetic overlap between
subforms of bipolar disorder (Danish study showed bipolar-bipolar and unipolar-unipolar patterns most common
in twins, but there was a significant occurrence of bipolar-unipolar; spectrum disorders are partially genetically
distinct
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| Genetics of bipolar II disorder: what is relationship between bipolar II and bipolar I disorders? bipolar II occurs
more often than bipolar I in families of bipolar II probands, suggesting partial genetic overlap between these disorders;
literature also suggests that other forms of bipolar disorder may be somewhat genetically distinct, eg,
study found elevated rate of psychotic mania in families of probands with psychotic mania; bipolar disorder with
anxiety and suicidality also appear to run in families; different forms of illness and presentations, as well as different
degrees of severity of illness
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 | Genetics of bipolar temperament: questionnaire found more dysthymia, cyclothymia, hyperthymia, and anxiety in
bipolar II than in bipolar I; questionnaire scores of unaffected relatives approximately midway between scores of
ill relatives and scores of unrelated controls; controls scored higher in hyperthymia, which may reflect cultural
biases favoring attributes such as getting by with less sleep, and being talkative, charming, and charismatic
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 | Bipolar spectrum partially overlaps with other psychiatric disorders: according to study, relatives of probands with
schizophrenia have increased rates of schizophrenia and bipolar disorder; relatives of probands with mania have
increased rates of mania and schizophrenia; studies in twins also point to genetic overlap between bipolar disorder
and schizophrenia
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| Genetic features of bipolar spectrum: family members have 7-fold increased risk for illness; only ≈65% of
what causes bipolar disorder inherited (reduced penetrance); milder forms of bipolar phenotype frequently
found in relatives of bipolar probands; some aspects of bipolar spectrum more like quantitative traits, while other
traits of bipolar spectrum are, in part, genetically distinct; bipolar spectrum overlaps with other psychiatric disorders
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 | Models of genetic transmission: single major locus effectone gene of large effect transmits trait; Mendelian patterns
of transmission; heterogeneity (different genes in different families); polygenic or multifactorial
transmissionmany genes each contribute small effect; traits are quantitative, additive, and/or epistatic;
mixed modelalmost certainly whats going to play out
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 | Polygenic quantitative traits, multifactorial threshold model: spectrum of illness ranges (in order of severity)
from affective temperament to major depression to bipolar II disorder to bipolar I disorder to schizoaffective
disorder to schizophrenia; the more bipolar genes an individual inherits, the farther they move along this spectrum;
in practice, however, model only partially fits observed data
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 | Why does bipolar disorder exist? if deleterious to species, would be expected to eventually disappear; however,
rate of ≈1% remarkably constant around the world; additionally, vulnerability factors very old, dating far
back in human evolution; theory of balanced selectionposits that some of these alleles have both advantages
and disadvantages; therefore, retained in given determined frequency that is optimal within environment; if
model true, then most genes for bipolar disorder carried in population by individuals who do not have illness,
ie, these genes modulate something else, and bipolar disorder probably uncommon side effect; speakers
observationbipolar disorder is social, ie, many of traits related to humanhuman interaction; speaker posits
that there is advantage to social group to have certain mixture of personality styles (if everybody were
manic theyd all kill each other; but if everybody were depressed, then nothing would ever happen)
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| The universe of bipolar genes: according to one hypothesis, large set of genes predisposes to depression, which
is ≈5 times more common than bipolar disorder; also, genes that predispose to bipolar I, bipolar II, or bipolar III
disorder (variously defined as unipolar disorder that for some reason resembles bipolar disorder); instead of asking
what these disorders have in common, research must ask how they differ; theories include allelic heterogeneity
(one gene with 2 mutations; one mutation results in bipolar disorder, other in schizophrenia), genegene
interactions (one gene screws up your brain in a relatively nonspecific way), and geneenvironment interactions
(nonspecific set of genes that results in bipolar disorder in one type of environment and in schizophrenia in
different type of environment)
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 | How do we find those genes? Human Genome Project has sequenced all 3 million base pairs in human genome, establishing
that humans have ≈18,000 genes; second stage of Human Genome Project attempting to identify
which base pairs vary among human population; simplest type of genetic variant single nucleotide polymorphism
(SNP), >20 million of which have been identified; HapMap Project (haplotype of human genome) has found that
variation not random across genome, but tends to be bunched together in haplotype blocks; first step in genetic
mapping involves linkage (determines which regions of chromosomes inherited along with illness; resolution 5-
20 million base pairs); association studies determine whether variation occurs more often in people who have
specific illness (resolution 5-25 thousand base pairs); with further study, resolution eventually narrowed to 1 base
pair and allows for functional testing; success achieved when variant found that affects function of gene and that
is associated with illness
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 | Mapping gene for bipolar disorder on chromosome 22: genomes of 20 large families with bipolar disorder
screened, with ≈400 markers spaced evenly across all chromosomes; evidence for gene on chromosome 22; candidate
gene GRK3 (G protein receptor kinase 3), which mediates homologous desensitization, identified as suspicious;
after sequencing, SNPs found in promoter of GRK3; this mutation occurred more frequently in people who
had bipolar disorder than in those who did not, and affects function of GRK3 (but in manner opposite from that
expected); speakers group trying to develop these findings in animal model
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| Genome-wide association studies (GWAS): association has greater power to detect genes with small effect;
common disease, common variant (CDCV) model asserts that if disease common, then alleles that cause it also probably
common (accuracy of model questionable); screen entire genome with high density of markers (microarray
technologies make this very inexpensive; large number of SNPs identified by HapMap Project; one million SNPs
now routinely screened); technique has little power if many rare SNPs of strong effect involved; results to date
limited success, possibly due to inadequate sample size (goal to screen 500,000 markers in 10,000 patients; only
4000 patients screened to date); CDCV model may be wrong model (are there, instead, numerous rare strong mutations?);
uncertain what role copy-number variation plays; meta-analysis of all bipolar GWAS data worldwide now
under way
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| Summary of bipolar genetics: genes explain ≈65% of cause of bipolar disorder; affective temperaments and bipolar-spectrum
disorders genetically related to bipolar disorder; some bipolar genes likely play role in other psychiatric
disorders; numerous genes likely interact to produce spectrum of bipolar-related traits; GWAS promises
discovery of many new genes, which may lead to new system of diagnosis and new, more specific treatments
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| Pharmacogenetics: science of identifying genes that influence drugs; lithiumcurrently under study because it
has best clinical predictors of response; first mood-stabilizing medication for bipolar disorder; strongest evidence
for efficacy; evidence for reduction of suicide risk; inexpensive; side effects include weight gain, acne, polydipsia,
and hypothyroidism; large number of patients have excellent response to lithium; largely supplanted by val-
proic acid in United States; great need in clinical practice for method that identifies good responders to lithium
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 | Clinical predictors of response to lithium: family history of bipolar disorder; predictors of poor response to lithium
include mixed state or dysphoric or irritable mania
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 | Lithium response may be genetically distinct: interindividual variation in response to mood stabilizers; response associated
with positive family history; response to lithium may be familial; lithium-responsive bipolar disorder may
represent genetically distinct form of illness
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 | Speakers study: found association between lithium response and variation within gene NTRK2; people with dysphoric
mania had poor response (30%) to lithium; those with euphoric mania with 1 copy of variant had ≈60%
response, and those with 2 copies had 80% response; speaker concludes that in patients with euphoric mania,
number of mutations in NTRK2 gene robustly predicts probability of response to lithium
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| What is NTRK2? codes for tyrosine kinase receptor Trkb (receptor for brain-derived neurotrophic factor [BDNF]);
BDNF involved in brain development and neuronal maintenance; antidepressants and lithium increase BDNF;
BDNF necessary for antidepressant and lithium action in BDNF-knockout mouse; hypothesis that increased glucocorticoids
during stress toxic to neurons, and antidepressants and lithium work by increasing BDNF and repairing
neurons
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| Bipolar clinic of tomorrow: personalized psychopharmacology; patient provides DNA in sputum or blood for
chip-based assay of hundreds of SNPs, which may result in biology-based diagnosis and prognosis and prediction
of response to medication
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| Clinical and treatment implications: new understanding of basic pathophysiology of bipolar disorder; reduction
of stigma associated with mental illness; new methods of diagnosis, with new classification of diseases based on
pathophysiology (which may subdivide or cut across behavioral definition of diseases); new medications with
novel targets; pharmacogenomics can be used to guide treatment decisions; gene therapy has not lived up to its
promise; ethical issues related to risk testing
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Suggested Reading
Baum AE et al: Metaanalysis of two genome-wide association studies of bipolar disorder reveals important points of agreement.
Mol Psychiatry 13:466, 2008; Cowan WM et al: The human genome project and its impact on psychiatry. Annu Rev
Neurosci 25:1, 2002; Dilsaver SC et al: Dose-response relationship between number of comorbid anxiety disorders in adolescent
bipolar/unipolar disorders, and psychosis, suicidality, substance abuse and familiality. J Affect Disord 96:249, 2006; Escamilla
MA, Zavala JM: Genetics of bipolar disorder. Dialogues Clin Neurosci 10:141, 2008; Evans KL et al: Nuts
and bolts of psychiatric genetics: building on the Human Genome Project. Trends Genet 17:35, 2001; Fisfalen ME et al: Familial
variation in episode frequency in bipolar affective disorder. Am J Psychiatry 162:1266, 2005; Goes FS et al: The genetics
of psychotic bipolar disorder. Curr Psychiatry Rep 10:178, 2008; Kelsoe JR, Niculescu AB 3rd: Finding genes
for bipolar disorder in the functional genomics era: from convergent functional genomics to phenomics and back. CNS Spectr
7:215, 2002; Kelsoe JR: Genomics and the Human Genome Project: implications for psychiatry. Int Rev Psychiatry 16:294,
2004; Konneker T et al: A searchable database of genetic evidence for psychiatric disorders. Am J Med Genet B Neuropsychiatr
Genet 147B:671, 2008; Low NC et al: Specificity of familial transmission of anxiety and comorbid disorders. J
Psychiatr Res 42:596, 2008; McGrath JA et al: Five latent factors underlying schizophrenia: analysis and relationship to illnesses
in relatives. Schizophr Bull 30:855, 2004; Perugi G et al: Is unipolar mania a distinct subtype? Compr Psychiatry
48:213, 2007; Pfuhlmann B et al: Cycloid psychoses are not part of a bipolar affective spectrum: results of a controlled family
study. J Affect Disord 83:11, 2004; Porteous D: Genetic causality in schizophrenia and bipolar disorder: out with the old
and in with the new. Curr Opin Genet Dev 2008, Aug 29. [Epub ahead of print]; Potash JB, DePaulo JR Jr: Searching
high and low: a review of the genetics of bipolar disorder. Bipolar Disord 2:8, 2000; Schork NJ et al: Statistical genetics
concepts and approaches in schizophrenia and related neuropsychiatric research. Schizophr Bull 33:95, 2007; Walker EF et
al: Plasma hormones and catecholamine metabolites in monozygotic twins discordant for psychosis. Neuropsychiatry Neuropsychol
Behav Neurol 15:10, 2002.
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