Neuropsychiatric disorders: Shared genetics of bipolar disorder and schizophrenia
ABSTRACT Bipolar disorder and schizophrenia share common clinical features, and antipsychotic medications can treat both conditions effectively. An assessment of 73,929 people with bipolar disorder and/or schizophrenia from a Swedish registry found evidence that the two disorders also share more than half of their genetic determinants.
Full-textDOI: · Available from: James B Potash, Feb 13, 2015
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- "Bipolar disorder is characterized by recurrent episodes of mania and depression, but is also often accompanied by cognitive deficits and psychotic symptoms. Recent epidemiological and genetic studies have suggested that schizophrenia and bipolar disorder have certain overlapping etiological factors , or share several chromosomal loci and genes[2,3]. Furthermore, there is growing evidence of similarity in the pattern of cognitive and neurobiological deficits in schizophrenia and bipolar disorder [4,5]. "
ABSTRACT: Whether schizophrenia and bipolar disorder are the clinical outcomes of discrete or shared causative processes is much debated in psychiatry. Several studies have demonstrated anomalous structural and functional superior temporal gyrus (STG) symmetries in schizophrenia. We examined bipolar patients to determine if they also have altered STG asymmetry. Whole-head magnetoencephalography (MEG) recordings of auditory evoked fields were obtained for 20 subjects with schizophrenia, 20 with bipolar disorder, and 20 control subjects. Neural generators of the M100 auditory response were modeled using a single equivalent current dipole for each hemisphere. The source location of the M100 response was used as a measure of functional STG asymmetry. Control subjects showed the typical M100 asymmetrical pattern with more anterior sources in the right STG. In contrast, both schizophrenia and bipolar disorder patients displayed a symmetrical M100 source pattern. There was no significant difference in the M100 latency and strength in bilateral hemispheres within three groups. Our results indicate that disturbed asymmetry of temporal lobe function may reflect a common deviance present in schizophrenia and bipolar disorder, suggesting the two disorders might share etiological and pathophysiological factors.PLoS ONE 12/2013; 8(12):e82682. DOI:10.1371/journal.pone.0082682 · 3.23 Impact Factor
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- "A variety of neurocognitive dysfunctions , in particular sustained attention (Braff, 1993 ; Chan et al. 2006a, b ; Arts et al. 2008), verbal and visual memory (Heaton et al. 2001 ; Chan et al. 2006a ; Hill et al. 2008), working memory (Gold et al. 1997 ; Chan et al. 2006b ; Glahn et al. 2007 ; Arts et al. 2008) and executive functions (Chan et al. 2004 ; Glahn et al. 2007), has been demonstrated in both disorders. Moreover, empirical findings from genetics, electrophysiology and neuroimaging (Shifman et al. 2004 ; Potash & Bienvenu, 2009 ; Ellison-Wright & Bullmore, 2010 ; Ivleva et al. 2010 ; Yu et al. 2010) have also converged to support the concept of unitary psychosis or continuum of psychosis (Crow, 1986 ; Linscott & van Os, 2010). "
ABSTRACT: Background: Prospective memory (PM) refers to the ability to remember to carry out an intended action in the future. PM is consistently found to be impaired in individuals with schizophrenia. Bipolar disorder and schizophrenia may represent conditions along a continuum, and share similar neurocognitive and genetic architecture. This study aimed to compare the nature and extent of PM impairment in individuals with schizophrenia and bipolar disorder. Method: Participants were 38 out-patients with schizophrenia and 40 out-patients with bipolar disorder in an early psychosis intervention programme, and 37 healthy controls. Time-, event- and activity-based PMs were assessed using a dual-task laboratory paradigm. Self-reported PM performance was gauged using the Prospective and Retrospective Memory Questionnaire. Analysis of covariance (ANCOVA), with intelligence quotient (IQ) and education included as covariates, was used to examine group difference on various types of PM. Repeated measures of ANCOVA were used to examine the group × PM type interaction effect. Correspondence between laboratory and self-reported PM measures was examined using correlational analysis. Results: The group × PM type interaction effect was not significant, but the main effect of group was significant. Patients with schizophrenia and patients with bipolar disorder both performed more poorly than healthy participants in PM. The two clinical groups did not significantly differ in PM. Laboratory and self-reported PM measures did not correlate significantly with each other. Conclusions: Patients with bipolar disorder shared a similar PM impairment with those with schizophrenia. Findings of this study extended the similarity in neurocognitive impairments between the two psychiatric disorders to PM.Psychological Medicine 10/2012; 43(8):1-11. DOI:10.1017/S003329171200236X · 5.94 Impact Factor
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- "Psychotic symptoms such as hallucinations and delusions are key manifestations of SC but also present in BAD. Furthermore, studies have confidently shown an increased risk of SC in relatives of patients suffering from bipolar disorder and vice versa –. Finally, genome wide association studies have shown the presence of overlap between genetic determinants of SC and bipolar disorder . "
ABSTRACT: There is general consensus that season of birth influences the risk of developing psychiatric conditions later in life. We aimed to investigate whether the risk of schizophrenia (SC), bipolar affective disorder (BAD) and recurrent depressive disorder (RDD) is influenced by month of birth in England to a similar extent as other countries using the largest cohort of English patients collected to date (n = 57,971). When cases were compared to the general English population (n = 29,183,034) all diseases showed a seasonal distribution of births (SC p = 2.48E-05; BAD p = 0.019; RDD p = 0.015). This data has implications for future strategies of disease prevention.PLoS ONE 04/2012; 7(4):e34866. DOI:10.1371/journal.pone.0034866 · 3.23 Impact Factor