A family study of bipolar I disorder in adolescence

Strober, Michael; Morrell, Wendy; Burroughs, Jane; Lampert, Carlyn; Danforth, Holly; Freeman, Roberta

doi:10.1016/0165-0327(88)90023-7

Cited by 317 publications

(16 citation statements)

References 55 publications

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“…In an uncontrolled study, Dwyer et al (Dwyer and Delong, 1985) showed an excess of bipolar disorder in the relatives of 20 outpatient children with DSM-III diagnosed bipolar disorder. The excess risk for bipolar disorder in 1 st degree relatives was replicated in subsequent family studies of child probands with DSM-III (Kutcher and Marton, 1991, Neuman et al , 1997, Strober et al , 1988), DSM-IIIR (Wozniak et al , 1995b), and DSM-IV bipolar disorder (Brotman et al , 2007, Findling et al , 2001, Geller et al , 2006, Wilens et al , 2007) that reported ranges of bipolar disorder in relatives of pediatric bipolar disorder probands ranging from 12%-35% with the risk of unipolar depression ranging from 15%-42%.…”

Section: Introductionmentioning

confidence: 78%

“…Three studies relied on family history methods rather than directly interviewing relatives and half of the available studies examined only parents or adult relatives (Brotman et al , 2007, Findling et al , 2001, Kutcher and Marton, 1991, Neuman et al , 1997, Strober et al , 1988, Wilens et al , 2007). Of the four studies utilizing DSM-IV criteria, two (Brotman et al , 2007, Geller et al , 2006) restricted recruitment of probands to children meeting a “narrow” phenotype (Leibenluft et al , 2003) excluding other children who may have otherwise fully met DSM-IV bipolar-I disorder.…”

Section: Introductionmentioning

confidence: 99%

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A controlled family study of children with DSM-IV bipolar-I disorder and psychiatric co-morbidity

et al. 2009

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Objective To estimate the spectrum of familial risk for psychopathology in first degree relatives of children with unabridged DSM-IV Bipolar-I Disorder (BP-I). Methods We conducted a blinded, controlled family study using structured diagnostic interviews of 157 children with BP-I probands (N=487 1st degree relatives), 162 ADHD (without BP-I) probands (N=511 1st degree relatives), and 136 healthy control (without ADHD or BP-I) probands (N=411 1st degree relatives). Results The morbid risk (MR) of BP-I disorder in relatives of BP-I probands (MR=0.18) was increased 4-fold (95%CI=2.3-6.9, p<0.001) over the risk to relatives of control probands (MR=0.05) and 3.5-fold (95%CI=2.1-5.8, p<0.001) over the risk to relatives of ADHD probands (MR=0.06). In addition, relatives of children with BP-I disorder had high rates of psychosis, major depression, multiple anxiety disorders, substance use disorders, ADHD, and antisocial disorders compared with relatives of Control probands. Only the effect for antisocial disorders lost significance after accounted for by the corresponding diagnosis in the proband. Familial rates of ADHD did not differ between ADHD and BP-I probands. Conclusions Our results document an increased familial risk for BP-I disorder in relatives of pediatric probands with DSM-IV BP-I disorder. Relatives of probands with BP-I disorder were also at increased risk for other psychiatric disorders frequently associated with pediatric BP-I disorder. These results support the validity of the diagnosis of BP-I in children as defined by DSM-IV. More work is needed to better understand the nature of the association between these disorders in probands and relatives.

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Section: Introductionmentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

A controlled family study of children with DSM-IV bipolar-I disorder and psychiatric co-morbidity

et al. 2009

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“…In contrast, lithium non-responders have a higher frequency of schizophrenia in their family members (Grof et al, 1994). Also, poor responders to lithium are more likely to exhibit an earlier age onset of bipolar disorder symptoms, often in their childhood (Strober et al, 1988). Taken together, manifesting a therapeutic response to lithium among individuals with bipolar disorder appears to be genetically influenced and evidence suggests that lithium-responsive bipolar disorder patients constitute a distinct subtype (Smeraldi et al, 1984; Smoller, 2003; Alda et al, 2005; Grof, 2010).…”

Section: Pharmacogenetic Approach To Understanding Lithium Actionmentioning

confidence: 99%

Molecular actions and clinical pharmacogenetics of lithium therapy

Can

Schulze

Gould

2014

Pharmacology Biochemistry and Behavior

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Mood disorders, including bipolar disorder and depression, are relatively common human diseases for which pharmacological treatment options are often not optimal. Among existing pharmacological agents and mood stabilizers used for the treatment of mood disorders, lithium has a unique clinical profile. Lithium has efficacy in the treatment of bipolar disorder generally, and in particular mania, while also being useful in the adjunct treatment of refractory depression. In addition to antimanic and adjunct antidepressant efficacy, lithium is also proven effective in the reduction of suicide and suicidal behaviors. However, only a subset of patients manifests beneficial responses to lithium therapy and the underlying genetic factors of response are not exactly known. Here we discuss preclinical research suggesting mechanisms likely to underlie lithium’s therapeutic actions including direct targets inositol monophosphatase and glycogen synthase kinase-3 (GSK-3) among others, as well as indirect actions including modulation of neurotrophic and neurotransmitter systems and circadian function. We follow with a discussion of current knowledge related to the pharmacogenetic underpinnings of effective lithium therapy in patients within this context. Progress in elucidation of genetic factors that may be involved in human response to lithium pharmacology has been slow, and there is still limited conclusive evidence for the role of a particular genetic factor. However, the development of new approaches such as genome-wide association studies (GWAS), and increased use of genetic testing and improved identification of mood disorder patients sub-groups will lead to improved elucidation of relevant genetic factors in the future.

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“…Age of illness onset is also an important factor to take into consideration as early/preadolescence onset of psychopathologies typically correlate with worse prognosis and more severe clinical symptoms (166, 167). Moreover, in BD, early onset is seen to be linked to more comorbid disorders (e.g., anxiety, substance abuse), shorter euthymic periods, and more attempts of suicide (168, 169).…”

Section: Challenges Pitfalls and Methodological Recommendations Formentioning

confidence: 99%

Alterations of Intrinsic Brain Connectivity Patterns in Depression and Bipolar Disorders: A Critical Assessment of Magnetoencephalography-Based Evidence

et al. 2017

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Despite being the object of a thriving field of clinical research, the investigation of intrinsic brain network alterations in psychiatric illnesses is still in its early days. Because the pathological alterations are predominantly probed using functional magnetic resonance imaging (fMRI), many questions about the electrophysiological bases of resting-state alterations in psychiatric disorders, particularly among mood disorder patients, remain unanswered. Alongside important research using electroencephalography (EEG), the specific recent contributions and future promise of magnetoencephalography (MEG) in this field are not fully recognized and valued. Here, we provide a critical review of recent findings from MEG resting-state connectivity within major depressive disorder (MDD) and bipolar disorder (BD). The clinical MEG resting-state results are compared with those previously reported with fMRI and EEG. Taken together, MEG appears to be a promising but still critically underexploited technique to unravel the neurophysiological mechanisms that mediate abnormal (both hyper- and hypo-) connectivity patterns involved in MDD and BD. In particular, a major strength of MEG is its ability to provide source-space estimations of neuromagnetic long-range rhythmic synchronization at various frequencies (i.e., oscillatory coupling). The reviewed literature highlights the relevance of probing local and interregional rhythmic synchronization to explore the pathophysiological underpinnings of each disorder. However, before we can fully take advantage of MEG connectivity analyses in psychiatry, several limitations inherent to MEG connectivity analyses need to be understood and taken into account. Thus, we also discuss current methodological challenges and outline paths for future research. MEG resting-state studies provide an important window onto perturbed spontaneous oscillatory brain networks and hence supply an important complement to fMRI-based resting-state measurements in psychiatric populations.

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A family study of bipolar I disorder in adolescence

Cited by 317 publications

References 55 publications

A controlled family study of children with DSM-IV bipolar-I disorder and psychiatric co-morbidity

A controlled family study of children with DSM-IV bipolar-I disorder and psychiatric co-morbidity

Molecular actions and clinical pharmacogenetics of lithium therapy

Alterations of Intrinsic Brain Connectivity Patterns in Depression and Bipolar Disorders: A Critical Assessment of Magnetoencephalography-Based Evidence

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