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Salehi B, Khoz S, Sadeghi B, Amanat M, Salehi M. Genealogy Study of Three Generations of Patients with Bipolar Mood Disorder Type I. Indian J Psychol Med 2017; 39:475-480. [PMID: 28852243 PMCID: PMC5559997 DOI: 10.4103/ijpsym.ijpsym_300_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION The purpose of this research is genealogy examination of three generation of bipolar mood disorder Type I patients. METHODS Patients selected using Poisson sampling method from 100 patients with bipolar mood disorder Type I, referring to a psychiatric center of Amir Kabir Hospital of Arak, Iran. Examine issues such as physical ailments, psychological review of living and deceased family members of each patient, drawn family pedigree using pedigree chart, check the relationship of the different pattern of the autosomal dominant and recessive disease, sex-linked dominant and recessive and linked to Y chromosome have been performed on patients. Different methods used in this study are pedigree chart and young mania rating scale and SPSS and Pearson's correlation test for analyzing the data collected. RESULTS Among the studied inheritance patterns, the most common inheritance pattern was autosomal recessive. There was a significant relationship between age, number of generation, and inheritance patterns with physical ailments in families of patients with bipolar mood disorder (P < 0.05), but there was no significant association with mental illness (P > 0.05). Furthermore, there was a significant relation between generation and skin, gastrointestinal, ovarian, lung, coronary heart disease, diabetes mellitus, hypertension, Cerebrovascular accident (CVA), hyperlipidemia, cardiomyopathy, hypothyroidism, and kidney disease in patients with bipolar affective disorder Type I (P < 0.05). CONCLUSION The results showed that autosomal recessive was the most pattern of inheritance and there is a significant relationship between generation and some physical disorders in patients with bipolar mood disorder Type I.
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Affiliation(s)
- Bahman Salehi
- Department of Psychiatry, Arak University of Medical Sciences, Arak, Iran
| | - Sara Khoz
- Department of Psychiatry, Arak University of Medical Sciences, Arak, Iran
| | - Bahman Sadeghi
- Department of Social Medicine, Arak University of Medical Sciences, Arak, Iran
| | - Manouchehr Amanat
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mona Salehi
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
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Greenberg R. Pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections/pediatric acute-onset neuropsychiatric syndromes vs. pediatric bipolar disorder—A possible connection? ACTA ACUST UNITED AC 2014. [DOI: 10.1016/j.npbr.2014.06.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Machado-Vieira R, Soeiro-De-Souza MG, Richards EM, Teixeira AL, Zarate CA. Multiple levels of impaired neural plasticity and cellular resilience in bipolar disorder: developing treatments using an integrated translational approach. World J Biol Psychiatry 2014; 15:84-95. [PMID: 23998912 PMCID: PMC4180367 DOI: 10.3109/15622975.2013.830775] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVES This paper reviews the neurobiology of bipolar disorder (BD), particularly findings associated with impaired cellular resilience and plasticity. METHODS PubMed/Medline articles and book chapters published over the last 20 years were identified using the following keyword combinations: BD, calcium, cytokines, endoplasmic reticulum (ER), genetics, glucocorticoids, glutamate, imaging, ketamine, lithium, mania, mitochondria, neuroplasticity, neuroprotection, neurotrophic, oxidative stress, plasticity, resilience, and valproate. RESULTS BD is associated with impaired cellular resilience and synaptic dysfunction at multiple levels, associated with impaired cellular resilience and plasticity. These findings were partially prevented or even reversed with the use of mood stabilizers, but longitudinal studies associated with clinical outcome remain scarce. CONCLUSIONS Evidence consistently suggests that BD involves impaired neural plasticity and cellular resilience at multiple levels. This includes the genetic and intra- and intercellular signalling levels, their impact on brain structure and function, as well as the final translation into behaviour/cognitive changes. Future studies are expected to adopt integrated translational approaches using a variety of methods (e.g., microarray approaches, neuroimaging, genetics, electrophysiology, and the new generation of -omics techniques). These studies will likely focus on more precise diagnoses and a personalized medicine paradigm in order to develop better treatments for those who need them most.
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Affiliation(s)
- Rodrigo Machado-Vieira
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, NIH, Bethesda, MD, USA,Laboratory of Neuroscience, LIM27, Institute and Department of Psychiatry, School of Medicine, University of Sao Paulo, SP, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of Sao Paulo, SP, Brazil
| | - Marcio G. Soeiro-De-Souza
- Mood Disorders Unit (GRUDA), Institute and Department of Psychiatry, School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil
| | - Erica M. Richards
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - Antonio L. Teixeira
- Neurology Group, Department of Internal Medicine, School of Medicine, UFMG, Belo Horizonte, Brazil
| | - Carlos A. Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, NIH, Bethesda, MD, USA
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Zeschel E, Correll CU, Haussleiter IS, Krüger-Özgürdal S, Leopold K, Pfennig A, Bechdolf A, Bauer M, Juckel G. The bipolar disorder prodrome revisited: Is there a symptomatic pattern? J Affect Disord 2013; 151:551-560. [PMID: 23932736 DOI: 10.1016/j.jad.2013.06.043] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Revised: 06/16/2013] [Accepted: 06/17/2013] [Indexed: 01/16/2023]
Abstract
OBJECTIVES To assess the phenomenology and course of pre-(hypo)manic and pre-depressed prodromal symptoms, including mood swings, as precursors of bipolar disorder (BD) in a German multi-center study. METHODS Semi-structured interviews [Bipolar Prodrome Symptom Scale-Retrospective (BPSS-R); Semi-structured Interview for Mood Swings] were administered to patients within 8 years of BD (BD I, BD II) onset. RESULTS Forty two outpatients were included (40.5% male, mean age 35.1±10.0 years, illness onset at 30.5±9.5 years). Feeling extremely energetic (85.7%), racing thoughts (78.6%), physical agitation (76.2%), overtalkativeness (71.4%), and low sleep requirement (71.4%) occurred most frequently prior to the first (hypo)manic episode, whereas depressed mood (83.0%), reduced vitality (81.0%), physical exhaustion (78.6%), tiredness (76.2%), and insomnia (66.7%) preceded pre-depressively. Mood lability (p=.006), odd ideas (p=.003) and the psychosis index score (p=.003) differed significantly in prevalence depending on the episodes' mood. Extremely energetic (p=.046), overtalkativeness (p<.001), and racing thoughts (p=.013) lasted significantly longer prior to depression. Neither severity nor frequency of prodromal symptoms differed significantly. Most of the symptoms emerged during the proximal prodromal phase. Links between mood swings and subsequent BD were found. LIMITATIONS Symptoms were evaluated retrospectively with self-reporting tools in bipolar patients from academic treatment settings without comparison to clinical controls. CONCLUSIONS Not only specific depressive or manic but also general symptoms occurred prior to both affective episodes. The pre-depressive prodrome lasted longer than the pre-manic one, but severity and frequency did not differ significantly. Mood swings and disturbed diurnal rhythm occurred prior to both episodes as early signs of BD.
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Affiliation(s)
- Eike Zeschel
- Department of Psychiatry, Ruhr-University Bochum, LWL University Hospital, LWL-Universitätsklinikum Bochum, Germany.
| | - Christoph U Correll
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Ida S Haussleiter
- Department of Psychiatry, Ruhr-University Bochum, LWL University Hospital, LWL-Universitätsklinikum Bochum, Germany
| | - Seza Krüger-Özgürdal
- Department of Psychiatry, Ruhr-University Bochum, LWL University Hospital, LWL-Universitätsklinikum Bochum, Germany
| | - Karolina Leopold
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Andreas Bechdolf
- Department of Psychiatry and Psychotherapy, University of Cologne, Germany
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr-University Bochum, LWL University Hospital, LWL-Universitätsklinikum Bochum, Germany
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Greenwood TA, Nievergelt CM, Sadovnick AD, Remick RA, Keck PE, McElroy SL, Shekhtman T, McKinney R, Kelsoe JR. Further evidence for linkage of bipolar disorder to chromosomes 6 and 17 in a new independent pedigree series. Bipolar Disord 2012; 14:71-9. [PMID: 22329474 PMCID: PMC3965176 DOI: 10.1111/j.1399-5618.2011.00970.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES We have previously reported the results of a linkage analysis of bipolar disorder in an initial set of 20 pedigrees ascertained through collaboration among three sites. We now report the results of our genome-wide linkage analysis in an independent sample of 34 pedigrees segregating bipolar disorder. METHODS Families were ascertained through a bipolar I or II disorder proband for the presence of bipolar I disorder, bipolar II disorder, or recurrent major depression in at least two other family members. A total of 440 markers at an average spacing of 8 cM were genotyped in 229 family members using fluorescent methods. RESULTS Initial nonparametric analyses of chromosomes 6 and 17 provided evidence for a modest replication of linkage to these chromosomes previously reported in other studies. Additional analyses using multipoint parametric methods provided further evidence to support the 6q25 region with a heterogeneity logarithm of odds score of 3.28. Evidence from two-point parametric analyses also provides a modest replication of our previous findings of linkage to the 23 cM region of chromosome 22q13 in our original University of California, San Diego sample of 20 families and 57 families from the National Institute of Mental Health bipolar disorder sample. CONCLUSIONS Our results suggest replication of some reported linkage peaks, such as 6q25 and 17p12; however, other peaks from our own previous study, such as 5p15, 13q32, and 22q13, were either not replicated or were only modestly replicated in these analyses.
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Affiliation(s)
- Tiffany A Greenwood
- Department of Psychiatry, University of California, San Diego,Department of Psychiatry, San Diego Veterans Affairs Healthcare System, San Diego, CA, USA
| | | | - A Dessa Sadovnick
- Department of Medical Genetics, University of British Columbia, British Columbia, Canada,Faculty of Medicine, Division of Neurology, University of British Columbia, British Columbia, Canada
| | | | - Paul E Keck
- Lindner Center of HOPE, Mason,Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason,Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Tatyana Shekhtman
- Department of Psychiatry, University of California, San Diego,Department of Psychiatry, San Diego Veterans Affairs Healthcare System, San Diego, CA, USA
| | - Rebecca McKinney
- Department of Psychiatry, University of California, San Diego,Department of Psychiatry, San Diego Veterans Affairs Healthcare System, San Diego, CA, USA
| | - John R Kelsoe
- Department of Psychiatry, University of California, San Diego,Department of Psychiatry, San Diego Veterans Affairs Healthcare System, San Diego, CA, USA
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Keshavan MS, Diwadkar V, Rosenberg DR. Developmental biomarkers in schizophrenia and other psychiatric disorders: common origins, different trajectories? Epidemiol Psychiatr Sci 2011; 14:188-93. [PMID: 16396426 DOI: 10.1017/s1121189x00007934] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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[Heritability of bipolar affective disorder--family study]. VOJNOSANIT PREGL 2011; 68:332-5. [PMID: 21630521 DOI: 10.2298/vsp1104332o] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND/AIM Bipolar affective disorder is mental disorder with polygenic type of heredity. Heritability--relation between genetic and environmental variance is used to estimate the level of influence of genetic variance to phenotype variance. Study results show decreasing trend in the value of heritability of bipolar affective disorder, thus indicating that this disorder is a complex behavioral threshold characteristic. Therefore, the aim of this study was to estimate the contribution of genetic variance to phenotype variance of bipolar affective disorder, i.e. to estimate heritability of this disorder. METHODS By the use of a questionnaire, 80 patients with over crossed threshold for bipolar affective disorder were asked for functional information about the members of their families belonging to the first degree of relation (fathers, mothers and full-sibs). By using "Applet for calculating heritability for threshold traits (disease)", and regression analysis, heritability of bipolar affective disorder as well as its statistical significance, were estimated (chi2 test). RESULTS Heritability and relationship of genetic and environmental variance of bipolar affective disorder is 0.2 with statistically significant difference from zero (p < 0.001). CONCLUSION The estimated contribution of genetic variance to phenotype variance of bipolar affective disorder is low being 20%, while the contribution of environmental variance is 80%. This result contributes to the understanding of bipolar affective disorder as a complex behavioral threshold trait.
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Abstract
The adenylate cyclase-activating polypeptide 1 (ADCYAP1) gene encodes a neuropeptide with neurotransmission activity, which is known as the pituitary adenylate cyclase-activating polypeptide. Associations of two polymorphisms, rs1893154 and rs2856966 (Asp54Gly), in the ADCYAP1 gene with schizophrenia were reported earlier by a Japanese case-control study. In this study, we tried to confirm the association in 2027 Japanese patients with schizophrenia and 2058 controls. The power to detect an association was more than 0.9. However, we did not detect allelic associations of rs1893154 with schizophrenia (P=0.36). Although rs2856966 was nominally significant (P=0.045), the association was in the opposite direction from that reported earlier. Combined data and meta-analysis of the two studies comprising nearly 6000 Japanese case-control patients did not show significant associations (P=0.53-0.86). It is concluded that single-nucleotide polymorphisms, including Asp54Gly, of the ADCYAP1 gene are unlikely to play a sizeable role in the genetic susceptibility to schizophrenia.
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GABRB2 in schizophrenia and bipolar disorder: disease association, gene expression and clinical correlations. Biochem Soc Trans 2010; 37:1415-8. [PMID: 19909288 DOI: 10.1042/bst0371415] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The SCZ (schizophrenia)-associated GABA(A) receptor (gamma-aminobutyric acid type A receptor) beta(2) subunit gene GABRB2 was recently associated with BPD (bipolar disorder). Although weaker than its association with SCZ, significant association of GABRB2 with BPD was found in both German and Chinese, especially for the haplotypes rs1816071-rs187269 and rs1816072-rs187269 for which the M-M variants showed higher frequency in disease than the control. Significant genotype-dependent reduction in GABRB2 expression was shown for BPD, but to a lesser extent than that for SCZ. Temporal effects on GABRB2 expression were observed. Moreover, for the homozygous major genotypes of rs1816071, rs1816072 and rs187269, expression increased with time in CON but decreased in SCZ and BPD. The genotypes of these three SNPs (single nucleotide polymorphisms) were further correlated with antipsychotics dosage in SCZ cohorts. The findings highlight the importance of GABRB2 in neuropsychiatric disease aetiology, with respect to haplotype association, as well as reduction of and temporal effects on gene expression in both SCZ and BPD, but to a lesser extent in the latter, supporting the suggestion that functional psychosis can be conceptualized as a continuous spectrum of clinical phenotypes rather than as distinct categories.
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Hashimoto R, Hashimoto H, Shintani N, Ohi K, Hori H, Saitoh O, Kosuga A, Tatsumi M, Iwata N, Ozaki N, Kamijima K, Baba A, Takeda M, Kunugi H. Possible association between the pituitary adenylate cyclase-activating polypeptide (PACAP) gene and major depressive disorder. Neurosci Lett 2010; 468:300-2. [DOI: 10.1016/j.neulet.2009.11.019] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2009] [Revised: 10/28/2009] [Accepted: 11/07/2009] [Indexed: 01/03/2023]
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Hallam KT, Begg DP, Olver JS, Norman TR. Abnormal dose-response melatonin suppression by light in bipolar type I patients compared with healthy adult subjects. Acta Neuropsychiatr 2009; 21:246-255. [PMID: 26952772 DOI: 10.1111/j.1601-5215.2009.00416.x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE Among potential endophenotypes proposed for bipolar affective disorder focusing on circadian abnormalities associated with the illness has particularly high face validity. Melatonin sensitivity to light is one circadian endophenotype proposed as useful in bipolar disorder. The aim of this study was to investigate melatonin sensitivity to light over a range of light intensities in order to compare and contrast responses in bipolar I patients with those of healthy adult volunteers. METHODS The study included seven patients (4 females, 3 males) with bipolar I disorder and 34 control participants (22 females, 12 males) with no personal or family history of affective illness. Melatonin sensitivity to light was determined in all patients and participants across a range of light intensities (0, 200, 500 and 1000 lux). RESULTS The results indicated that patients showed melatonin super-sensitivity to light in comparison with controls, a response that was consistent across the entire light intensity range investigated. CONCLUSION The study provides further evidence for a super sensitive response in bipolar I patients and suggests that its potential usefulness as an endophenotypic marker of the illness is deserving of further research.
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Affiliation(s)
- Karen T Hallam
- 1Department of Psychiatry, University of Melbourne, Austin Hospital, Heidelberg, Victoria, Australia
| | - Denovan P Begg
- 1Department of Psychiatry, University of Melbourne, Austin Hospital, Heidelberg, Victoria, Australia
| | - James S Olver
- 1Department of Psychiatry, University of Melbourne, Austin Hospital, Heidelberg, Victoria, Australia
| | - Trevor R Norman
- 1Department of Psychiatry, University of Melbourne, Austin Hospital, Heidelberg, Victoria, Australia
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14
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Garber J, Frankel SA, Street BM. Construct validity of childhood bipolar disorder: A developmental perspective. ACTA ACUST UNITED AC 2009. [DOI: 10.1111/j.1468-2850.2009.01157.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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15
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Hashimoto R, Hashimoto H, Shintani N, Chiba S, Hattori S, Okada T, Nakajima M, Tanaka K, Kawagishi N, Nemoto K, Mori T, Ohnishi T, Noguchi H, Hori H, Suzuki T, Iwata N, Ozaki N, Nakabayashi T, Saitoh O, Kosuga A, Tatsumi M, Kamijima K, Weinberger DR, Kunugi H, Baba A. Pituitary adenylate cyclase-activating polypeptide is associated with schizophrenia. Mol Psychiatry 2007; 12:1026-32. [PMID: 17387318 DOI: 10.1038/sj.mp.4001982] [Citation(s) in RCA: 120] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Pituitary adenylate cyclase-activating polypeptide (PACAP, ADCYAP1: adenylate cyclase-activating polypeptide 1), a neuropeptide with neurotransmission modulating activity, is a promising schizophrenia candidate gene. Here, we provide evidence that genetic variants of the genes encoding PACAP and its receptor, PAC1, are associated with schizophrenia. We studied the effects of the associated polymorphism in the PACAP gene on neurobiological traits related to risk for schizophrenia. This allele of the PACAP gene, which is overrepresented in schizophrenia patients, was associated with reduced hippocampal volume and poorer memory performance. Abnormal behaviors in PACAP knockout mice, including elevated locomotor activity and deficits in prepulse inhibition of the startle response, were reversed by treatment with an atypical antipsychotic, risperidone. These convergent data suggest that alterations in PACAP signaling might contribute to the pathogenesis of schizophrenia.
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Affiliation(s)
- R Hashimoto
- The Osaka-Hamamatsu Joint Research Center for Child Mental Development, Osaka University Graduate School of Medicine, Yamadaoka, Suita, Osaka, Japan.
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He Z, Li Z, Shi Y, Tang W, Huang K, Ma G, Zhou J, Meng J, Li H, Feng G, He L. The PIP5K2A gene and schizophrenia in the Chinese population--a case-control study. Schizophr Res 2007; 94:359-65. [PMID: 17555944 DOI: 10.1016/j.schres.2007.04.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2006] [Revised: 03/27/2007] [Accepted: 04/22/2007] [Indexed: 02/07/2023]
Abstract
Results from a number of molecular and pharmacological studies suggest that the phosphatidylinositol-4-phosphate 5-kinase IIalpha (PIP5K2A) gene may be involved in the development of schizophrenia. A recent family-based transmission disequilibrium test in the German and Israeli populations found that four single nucleotide polymorphisms, rs1417374, rs10828317, rs746203 and rs8341 in this gene or nearby intergenic regions are significantly associated with schizophrenia. The objective of our study was to investigate whether these four SNPs are also associated with schizophrenia in the Chinese population. Our study found that SNP rs8341 (p=0.0045, Odds Ratio=1.415, 95%CI=1.113-1.799 for the minor allele) and a haplotype (p=0.0039, Odds Ratio=1.440, 95%CI=1.123-1.845) are significantly associated with schizophrenia. Our results confirm that the PIP5K2A gene merits further study as a susceptible gene for schizophrenia.
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Affiliation(s)
- ZangDong He
- Bio-X Life Science Research Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, PR China
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McClellan J, Kowatch R, Findling RL. Practice parameter for the assessment and treatment of children and adolescents with bipolar disorder. J Am Acad Child Adolesc Psychiatry 2007; 46:107-125. [PMID: 17195735 DOI: 10.1097/01.chi.0000242240.69678.c4] [Citation(s) in RCA: 280] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
This practice parameter reviews the literature on the assessment and treatment of children and adolescents with bipolar disorder. The parameter focuses primarily on bipolar 1 disorder because that is the type most often studied in juveniles. The presentation of bipolar disorder in youth, especially children, is often considered atypical compared with that of the classic adult disorder, which is characterized by distinct phases of mania and depression. Children who receive a diagnosis of bipolar disorder in community settings typically present with rapid fluctuations in mood and behavior, often associated with comorbid attention-deficit/hyperactivity disorder and disruptive behavior disorders. Thus, at this time it is not clear whether the atypical forms of juvenile mania and the classic adult form of the disorder represent the same illness. The question of diagnostic continuity has important treatment and prognostic implications. Although more controlled trials are needed, mood stabilizers and atypical antipsychotic agents are generally considered the first line of treatment. Although patients may respond to monotherapy, combination pharmacotherapy is necessary for some youth. Behavioral and psychosocial therapies are also generally indicated for juvenile mania to address disruptive behavior problems and the impact of the illness on family and community functioning.
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Verma R, Mukerji M, Grover D, B-Rao C, Das SK, Kubendran S, Jain S, Brahmachari SK. MLC1 gene is associated with schizophrenia and bipolar disorder in Southern India. Biol Psychiatry 2005; 58:16-22. [PMID: 15992519 DOI: 10.1016/j.biopsych.2005.03.027] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2004] [Revised: 03/02/2005] [Accepted: 03/16/2005] [Indexed: 11/24/2022]
Abstract
BACKGROUND Chromosome 22q13 has shown linkage with schizophrenia (SCZ) and bipolar affective disorder (BPAD). A missense mutation in MLC1 (putative cation-channel gene on 22q13) co-segregating with periodic catatonic schizophrenia has been reported. We have investigated the relationship of MLC1 with SCZ and BPAD in Southern India. METHODS All exons and flanking intronic sequences of MLC1 were screened for novel variations. Case-control (216 BPAD, 193 SCZ, 116 control subjects) and family-based analyses (113 BPAD, 107 SCZ families) were performed to evaluate association of MLC1 with these disorders. RESULTS We found 33 MLC1 sequence variations, including three novel mutations: Val210Ile, Leu308Gln, and Arg328His in six BPAD cases and Val210Ile in one control individual. Minor allele of a common variation, ss16339182 (in approximately 6 Kb Linkage-Disequilibrium [LD]-block) was associated with BPAD in case-control (p = .03) and family-based analyses (transmitted/nontransmitted [T/NT]-44/20; p = .003). Association was observed for rs2235349 and rs2076137 with SCZ and ss16339163 with BPAD in case-control study. Using Block 2 haplotype tagging single nucleotide polymorphisms (htSNPs), GC haplotype revealed association (p = .02) and excess transmission (p = .002) with BPAD. CONCLUSIONS Association of MLC1 with SCZ and BPAD suggests involvement of a common pathway. Rare missense mutations and common variants associated with BPAD favors hypothesis about likely involvement of both rare and common polymorphisms in etiology of this complex disorder.
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Affiliation(s)
- Ranjana Verma
- Functional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), Delhi, India
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Winterer G, Hariri AR, Goldman D, Weinberger DR. Neuroimaging and Human Genetics. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2005; 67:325-83. [PMID: 16291027 DOI: 10.1016/s0074-7742(05)67010-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Georg Winterer
- Genes, Cognition and Psychosis Program, National Institute of Mental Health National Institutes of Health, Bethesda, Maryland 20892, USA
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LaSalle VH, Cromer KR, Nelson KN, Kazuba D, Justement L, Murphy DL. Diagnostic interview assessed neuropsychiatric disorder comorbidity in 334 individuals with obsessive-compulsive disorder. Depress Anxiety 2004; 19:163-73. [PMID: 15129418 DOI: 10.1002/da.20009] [Citation(s) in RCA: 100] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Is obsessive-compulsive disorder (OCD) a discrete disorder? Three hundred thirty-four individuals with OCD were interviewed using the Structured Clinical Interview for DSM (SCID). Results demonstrate that OCD is highly comorbid with other neuropsychiatric disorders, with 92% of OCD study participants receiving one or more additional Axis I DSM diagnoses. Among these additional diagnoses, lifetime mood disorders (81%) and anxiety disorders (53%) were the most prevalent. With the exception of substance-related disorders and specific phobias, all disorders assessed were found in considerably higher frequency than in the general population, indicating that OCD is associated with highly complex comorbidity. These data have implications for genetic studies of OCD and disorders related to OCD, as well as for specific psychotherapeutic and psychopharmacologic interventions.
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Affiliation(s)
- V Holland LaSalle
- Laboratory of Clinical Science, National Institute of Mental Health, Bethesda, Maryland, 20892, USA.
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21
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Abdolmaleky HM, Smith CL, Faraone SV, Shafa R, Stone W, Glatt SJ, Tsuang MT. Methylomics in psychiatry: Modulation of gene-environment interactions may be through DNA methylation. Am J Med Genet B Neuropsychiatr Genet 2004; 127B:51-9. [PMID: 15108180 DOI: 10.1002/ajmg.b.20142] [Citation(s) in RCA: 146] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Fine-tuning of neuronal connections during development is regulated through environmental interactions. Some fine-tuning occurs through changes in gene expression and/or epigenetic gene-specific DNA methylation states. DNA methylation occurs by transfer of a methyl group from S-adenosyl methionine to cytosine residues in the dinucleotide sequence CpG. Although CpG sequences spread throughout the genome are usually heavily methylated, those occurring in CpG islands in the promoter regions of genes are less methylated. In most cases, the extent of DNA methylation correlates with the extent of gene inactivation. Other known epigenetic mechanisms include histone deacetylation and chromatin remodeling, RNA inhibition, RNA modification, and DNA rearrangement. Exposure memory expressed as epigenetic DNA modifications allows genomic plasticity and short-term adaptation of each generation to their environment. Environmental factors that affect DNA methylation include diet, proteins, drugs, and hormones. Induced methylation changes may produce altered gene response upon subsequent hormonal stimulation. The gene-specific DNA methylation state may be preserved upon transmission through mitosis and meiosis. An increasing amount of data implicates a role for DNA methylation in multi-factorial psychiatric disorders. For example, L-methionine treatment can exacerbate psychosis; while valproate, a drug producing hypomethylated DNA, reduces such symptoms. Hypermethylation of the promoter region of the RELN gene correlates with reduced gene expression. This gene's protein Reelin, which is necessary for neuronal migration and synaptogenesis, is reduced in schizophrenia and bipolar disorder, suggesting hypermethylation of the promoter region in these disorders. Some evidence implicates methylation of the promoter regions of the DRD2 and HTR2A genes in schizophrenia and mood disorders as well. DNA methylation usually increases with age, although hypomethylation of the promoter region of the amyloid A4 precursor gene during aging may play a role in Alzheimer's disease. More studies are needed to define the role of methylomics and other epigenetic phenomena in the nervous system.
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Affiliation(s)
- Hamid Mostafavi Abdolmaleky
- Department of Psychiatry, Harvard Medical School at Massachusetts Mental Health Center, Boston, Massachusetts 02115, USA
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22
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Stassen HH, Bridler R, Hell D, Weisbrod M, Scharfetter C. Ethnicity-independent genetic basis of functional psychoses: a genotype-to-phenotype approach. Am J Med Genet B Neuropsychiatr Genet 2004; 124B:101-12. [PMID: 14681924 DOI: 10.1002/ajmg.b.20081] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The functional psychoses schizophrenia, schizoaffective disorder, and bipolar illness represent complex clinical syndromes that are characterized by phenotypic heterogeneity. Yet evidence from numerous studies suggests that (1) the prevalence of schizophrenia and bipolar illness is with 1% very similar across ethnicities, and (2) a strong genetic component is involved in the disorders' pathogenesis. Using data from different US-American ethnicities (77 families with a total of 17 unaffected and 170 affected sib pairs; 276 marker loci), we searched for ethnicity-independent oligogenic susceptibility loci for which the between-sib genetic similarity in affected sib pairs deviated from the expected values. Specifically, we addressed the question of the extent to which genetic risk factors and their interactions constitute multigenic inheritance of functional psychoses across populations and might constitute universal targets for treatment. Our novel multivariate genotype-to-phenotype search strategy was based on a genetic similarity function that allowed us to quantify the inter-individual genetic distances d(x(i), x(j)) between the allelic genotype patterns x(i), x(j) of any two subjects i, j with respect to n loci l(1), l(2), em leader l(n). Thus, we were able to assess the between-ethnicity, the within-ethnicity, and the within-family genetic similarities. The problem of ethnicity-independent vulnerability was addressed by treating the Afro-American families as "training" samples, while the non-Afro-American families served as independent "test" samples. We evaluated the between-sib similarities, which were expected to deviate from "0.5" in affected sib pairs if the region of interest contained markers close to vulnerability genes. The reference value "0.5" was derived from the parent-offspring similarities that are always 0.5, irrespective of the affection status of parents and offspring. We found 12 vulnerability loci on chromosomes 1, 4, 5, 6, 13, 14, 18, and 20, that were reproducible across the two samples under comparison and therefore, likely to constitute an ethnicity-independent, oligogenic vulnerability model of functional psychoses. The elevated vulnerability appeared to be unspecific and to act in such a way that exogenous factors become more likely to trigger the onset of psychiatric illnesses.
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Affiliation(s)
- H H Stassen
- Psychiatric University Hospital, Zurich, Switzerland.
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23
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Dick DM, Foroud T, Flury L, Bowman ES, Miller MJ, Rau NL, Moe PR, Samavedy N, El-Mallakh R, Manji H, Glitz DA, Meyer ET, Smiley C, Hahn R, Widmark C, McKinney R, Sutton L, Ballas C, Grice D, Berrettini W, Byerley W, Coryell W, DePaulo R, MacKinnon DF, Gershon ES, Kelsoe JR, McMahon FJ, McInnis M, Murphy DL, Reich T, Scheftner W, Nurnberger Jr. JI. Genomewide linkage analyses of bipolar disorder: a new sample of 250 pedigrees from the National Institute of Mental Health Genetics Initiative. Am J Hum Genet 2003; 73:107-14. [PMID: 12772088 PMCID: PMC1180573 DOI: 10.1086/376562] [Citation(s) in RCA: 170] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2003] [Accepted: 04/17/2003] [Indexed: 11/03/2022] Open
Abstract
We conducted genomewide linkage analyses on 1,152 individuals from 250 families segregating for bipolar disorder and related affective illnesses. These pedigrees were ascertained at 10 sites in the United States, through a proband with bipolar I affective disorder and a sibling with bipolar I or schizoaffective disorder, bipolar type. Uniform methods of ascertainment and assessment were used at all sites. A 9-cM screen was performed by use of 391 markers, with an average heterozygosity of 0.76. Multipoint, nonparametric linkage analyses were conducted in affected relative pairs. Additionally, simulation analyses were performed to determine genomewide significance levels for this study. Three hierarchical models of affection were analyzed. Significant evidence for linkage (genomewide P<.05) was found on chromosome 17q, with a peak maximum LOD score of 3.63, at the marker D17S928, and on chromosome 6q, with a peak maximum LOD score of 3.61, near the marker D6S1021. These loci met both standard and simulation-based criteria for genomewide significance. Suggestive evidence of linkage was observed in three other regions (genomewide P<.10), on chromosomes 2p, 3q, and 8q. This study, which is based on the largest linkage sample for bipolar disorder analyzed to date, indicates that several genes contribute to bipolar disorder.
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Affiliation(s)
- Danielle M. Dick
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Tatiana Foroud
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Leah Flury
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Elizabeth S. Bowman
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Marvin J. Miller
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - N. Leela Rau
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - P. Ryan Moe
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Nalini Samavedy
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Rif El-Mallakh
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Husseini Manji
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Debra A. Glitz
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Eric T. Meyer
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Carrie Smiley
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Rhoda Hahn
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Clifford Widmark
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Rebecca McKinney
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Laura Sutton
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Christos Ballas
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Dorothy Grice
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Wade Berrettini
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - William Byerley
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - William Coryell
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Raymond DePaulo
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Dean F. MacKinnon
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Elliot S. Gershon
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - John R. Kelsoe
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Francis J. McMahon
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Melvin McInnis
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Dennis L. Murphy
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - Theodore Reich
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - William Scheftner
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
| | - John I. Nurnberger Jr.
- 1Indiana University, Indianapolis; 2University of Louisville, Louisville, KY; 3Mood and Anxiety Program, National Institute of Mental Health, National Institutes of Health, U. S. Department of Health and Human Services, Bethesda; 4Wayne State University, Detroit; 5University of California Irvine, Irvine; 6University of California San Diego, and 7San Diego Veterans Affairs Healthcare System, San Diego; 8University of Pennsylvania, Philadelphia; 9University of Iowa, Iowa City; 10Johns Hopkins University, Baltimore; 11University of Chicago and 12Rush-Presbyterian Medical Center, Chicago; and 13Washington University, St. Louis
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Abstract
Until relatively recently, the prevailing view was that mania was uncommon in preadolescent children. In the past 15 years, however, there has been increasing interest in the idea that mania may be much more common at younger ages than previously recognized. This article is concerned with the issue of whether preadolescent mania represents the same kind of problem as adult mania. It reviews concepts of bipolar disorder and mania in adults and preadolescents, some of the issue that arise in diagnosing mania in children, and the evidence for continuities between preadolescent and adult mania. The diagnosis of mania in preadolescent children often requires that inferences are made about the meaning of some symptoms but it is not always clear that these inferences are valid. It is concluded that the extant evidence does not provide a clear conclusion about the links between preadolescent and adult mania. More work is needed on the phenomenology and diagnosis of mania in children, on its natural history and on its familial correlates.
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Affiliation(s)
- Richard Harrington
- University Department of Child and Adolescent Psychiatry, Royal Manchester Children's Hospital, Pendlebury, Manchester, United Kingdom
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25
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Brown JS. Identification of candidate genes for schizophrenia based on natural resistance to infectious diseases. Acta Neuropsychiatr 2003; 15:108-14. [PMID: 26983352 DOI: 10.1034/j.1601-5215.2003.00018.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Identification of candidate genes for schizophrenia may be more successful than genome screens as the latter have not found consistent linkages. OBJECTIVE To assist in the gene search, a model of schizophrenia based on resistance to infectious diseases, rather than susceptibility, is proposed. The theory blends the geography of schizophrenia with the assumption that genes that cause schizophrenia likely evolved and persist from selection pressure. The theory includes the notion that schizophrenia enhances biological survival at the cost of psychological and social functioning. METHOD To demonstrate the utility of using this model, the Medline literature was searched for resistance genes, mostly identified in mice. RESULTS Based on homologous locations in the human genome, these resistance genes are shown to be located in human chromosome regions linked significantly, in at least one genome screen, with schizophrenia or some physiologically related function or condition associated with schizophrenia. CONCLUSIONS The infectious disease resistance theory of schizophrenia is offered as a viable model for understanding the origins of schizophrenia. The theory also allows for the inclusion of persistent infections, seasonal variability and translational pathophysiology to contribute to the etiology of schizophrenia.
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Affiliation(s)
- James S Brown
- 1McGuire Veterans Affairs Medical Center, Richmond, Virginia, USA
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26
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Abstract
Schizophrenia is a highly heritable, neurobehavioral disorder; however, the mode of inheritance is complex, and linkage findings have been difficult to replicate. Some consistent linkage findings have emerged on chromosomes 1, 6, 8, 11, 13, 15, and 22. New methods are being developed for candidate gene identification, including the use of neurobiologic phenotypes observed in relatives of persons with schizophrenia. Neuroimaging studies of relatives implicate abnormal hippocampal structure and inefficient prefrontal network functioning, probably representing mild variants of the abnormalities observed in schizophrenia. These characteristics may represent stable markers of vulnerability to schizophrenia, because they are not confounded by effects of antipsychotic drugs or psychosis. Recent studies provide evidence for a small role of the catechol-O-methyltransferase gene on 22q, and the serotonin receptor transporter gene on 17q11-q12 in the development of schizophrenia. Linking genes and brain regions or networks is an important step in identification of the pathophysiology of schizophrenia.
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MESH Headings
- Brain/abnormalities
- Brain/physiopathology
- Brain-Derived Neurotrophic Factor/genetics
- Carrier Proteins/genetics
- Catechol O-Methyltransferase/genetics
- Chromosomes, Human, Pair 1/genetics
- Chromosomes, Human, Pair 11/genetics
- Chromosomes, Human, Pair 13/genetics
- Chromosomes, Human, Pair 15/genetics
- Chromosomes, Human, Pair 17/genetics
- Chromosomes, Human, Pair 22/genetics
- Chromosomes, Human, Pair 6/genetics
- Chromosomes, Human, Pair 8/genetics
- Hippocampus/abnormalities
- Hippocampus/physiopathology
- Humans
- Membrane Glycoproteins/genetics
- Membrane Transport Proteins
- Nerve Tissue Proteins
- Prefrontal Cortex/abnormalities
- Prefrontal Cortex/physiopathology
- Schizophrenia/genetics
- Schizophrenia/physiopathology
- Serotonin Plasma Membrane Transport Proteins
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Affiliation(s)
- Larry J Seidman
- Neuropsychology Laboratory, Massachusetts Mental Health Center, 74 Fenwood Road, Boston, MA 02115, USA.
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Abstract
Clinical depression and other mood disorders are relatively common mental illnesses but therapy for a substantial number of patients is unsatisfactory. For many years clinicians and neuroscientists believed that the evidence pointed toward alterations in brain monoamine function as the underlying cause of depression. This point of view is still valid. Indeed, much of current drug therapy appears to be targeted at central monoamine function. Other results, though, indicate that GABAergic mechanisms also might play a role in depression. Such indications stem from both direct and indirect evidence. Direct evidence has been gathered in the clinic from brain scans or postmortem brain samples, and cerebrospinal fluid (CSF) and serum analysis in depressed patients. Indirect evidence comes from interaction of antidepressant drugs with GABAergic system as assessed by in vivo and in vitro studies in animals. Most of the data from direct and indirect studies are consistent with GABA involvement in depression.
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Affiliation(s)
- G Tunnicliff
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, 8600 University Boulevard, Evansville, Indiana 47712, USA.
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Zandi PP, Willour VL, Huo Y, Chellis J, Potash JB, MacKinnon DF, Simpson SG, McMahon FJ, Gershon E, Reich T, Foroud T, Nurnberger J, DePaulo JR, McInnis MG. Genome scan of a second wave of NIMH genetics initiative bipolar pedigrees: chromosomes 2, 11, 13, 14, and X. Am J Med Genet B Neuropsychiatr Genet 2003; 119B:69-76. [PMID: 12707942 DOI: 10.1002/ajmg.b.10063] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
As part of the on-going NIMH Genetics Initiative on Bipolar Disorder, we have ascertained 153 multiplex bipolar pedigrees and genotyped them in two waves. We report here the genome scan results for chromosomes 2, 11, 13, 14, and X in the second wave of 56 families. A total of 354 individuals were genotyped and included in the current analyses, including 5 with schizoaffective/bipolar (SA/BP), 139 with bipolar I disorder (BPI), 41 with bipolar II disorder (BPII), and 43 with recurrent unipolar depression (RUP). Linkage analyses were carried out with multi-point parametric and non-parametric affected relative pair methods using three different definitions of the affected phenotype: (model 1) SA/BP and BPI; (model 2) SA/BP, BPI, and BPII; and (model 3) SA/BP, BPI, BPII, and RUP. The best findings were on 11p15.5 (NPL = 2.96, P = 0.002) and Xp11.3 (NPL = 2.19, P = 0.01). These findings did not reach conventional criteria for significance, but they were located near regions that have been identified in previous genetic studies of bipolar disorder. The relatively modest but consistent findings across studies may suggest that these loci harbor susceptibility genes of modest effect in a subset of families. Large samples such as that being collected by the NIMH Initiative will be necessary to examine the heterogeneity and identify these susceptibility genes.
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MESH Headings
- Bipolar Disorder/classification
- Bipolar Disorder/genetics
- Chromosomes, Human
- Chromosomes, Human, Pair 11
- Chromosomes, Human, Pair 13
- Chromosomes, Human, Pair 14
- Chromosomes, Human, Pair 2
- Chromosomes, Human, X
- Genetic Heterogeneity
- Genetic Linkage
- Genetic Predisposition to Disease
- Genome, Human
- Genotype
- Humans
- National Institute of Mental Health (U.S.)
- Pedigree
- Phenotype
- United States
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Affiliation(s)
- Peter P Zandi
- Department of Mental Hygiene, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland 21204, USA.
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Abstract
The recent completion of a working draft of the human genome sequence promises to provide unprecedented opportunities to explore the genetic basis of individual differences in complex behaviours and vulnerability to neuropsychiatric illness. Functional neuroimaging, because of its unique ability to assay information processing at the level of brain within individuals, provides a powerful approach to such functional genomics. Recent fMRI studies have established important physiological links between functional genetic polymorphisms and robust differences in information processing within distinct brain regions and circuits that have been linked to the manifestation of various disease states such as Alzheimer's disease, schizophrenia and anxiety disorders. Importantly, all of these biological relationships have been revealed in relatively small samples of healthy volunteers and in the absence of observable differences at the level of behaviour, underscoring the power of a direct assay of brain physiology like fMRI in exploring the functional impact of genetic variation.
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Affiliation(s)
- Ahmad R Hariri
- Clinical Brain Disorders Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA
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Bellivier F, Leroux M, Henry C, Rayah F, Rouillon F, Laplanche JL, Leboyer M. Serotonin transporter gene polymorphism influences age at onset in patients with bipolar affective disorder. Neurosci Lett 2002; 334:17-20. [PMID: 12431765 DOI: 10.1016/s0304-3940(02)01029-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Serotonin transporter (SLC6A4) gene polymorphism is associated with several behavioral and psychiatric traits. In bipolar affective disorder, two polymorphisms of the SLC6A4 gene, a variable number of tandem repeats in the second intron and a 44 bp insertion/deletion in the serotonin transporter gene linked polymorphic region (5-HTTLPR), have been extensively studied. The findings are conflicting possibly because of the heterogeneity of bipolar disorder. Early-onset bipolar disorder appears to be clinically and genetically more homogeneous and was recently suggested to be associated with the 5-HTTLPR polymorphism. We tested the association between two polymorphisms of the SLC6A4 gene and age at onset (AAO) in a sample of bipolar patients. For both SLC6A4 gene polymorphisms, AAO of subjects with different genotypes were compared. SLC6A4 genotype distributions of different AAO groups were also compared. The variable number of tandem repeats (VNTR) polymorphism significantly influences the AAO but the serotonin transporter gene linked polymorphic region (5-HTTLPR) polymorphism did not. Patients carrying at least one VNTR STin2.12 allele began their illness later whereas patients carrying the 'ss' genotype tended to begin their illness earlier. Differential sampling procedures may influence the proportion of AAO subgroups in a given association study, and therefore these results may explain the conflicting results obtained in studies of the association between the SLC6A4 gene polymorphism and bipolar affective disorder (BPAD).
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Affiliation(s)
- Frank Bellivier
- Service de Psychiatrie, Hôpital Henri Mondor et Albert Chenevier, Assistance Publique-Hôpitaux de Paris, Créteil, France.
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31
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Nurnberger JI. Implications of multifactorial inheritance for identification of genetic mechanisms in major psychiatric disorders. Psychiatr Genet 2002; 12:121-6. [PMID: 12218654 DOI: 10.1097/00041444-200209000-00001] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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32
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Dick DM, Foroud T, Edenberg HJ, Miller M, Bowman E, Rau NL, DePaulo JR, McInnis M, Gershon E, McMahon F, Rice JP, Bierut LJ, Reich T, Nurnberger J. Apparent replication of suggestive linkage on chromosome 16 in the NIMH genetics initiative bipolar pedigrees. AMERICAN JOURNAL OF MEDICAL GENETICS 2002; 114:407-12. [PMID: 11992562 DOI: 10.1002/ajmg.10380] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Analyses of a replication sample of families collected as part of the National Institute of Mental Health (NIMH) Genetics Initiative for bipolar disorder provide further evidence for linkage to a region of chromosome 16. Families who had a bipolar I (BPI) proband and at least one BPI or schizoaffective, bipolar type (SABP) first-degree relative were ascertained for the purpose of identifying genes involved in bipolar affective disorder. A series of hierarchical models of affected status was used in linkage analyses. Initial genetic analyses of chromosomes 3, 5, 15, 16, 17, and 22, completed at Indiana University in 540 subjects from 97 families, suggested evidence of linkage to chromosomes 5, 16, and 22 [Edenberg et al., 1997: Am J Med Genet 74:238-246]. Genotyping was subsequently performed on these chromosomes in a replication sample of 353 individuals from 56 families. Nonparametric linkage analyses were performed using both affected relative and sibling pair methods. Analyses in the new sample on chromosome 16, using the broadest model of affected status, corroborate previously reported suggestive linkage to the marker D16S2619. Combining the initial and replication samples further increased the evidence of linkage to this region, with a peak lod score of 2.8.
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Affiliation(s)
- Danielle M Dick
- Indiana University School of Medicine, Indianapolis, Indiana 46202-4887, USA
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33
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Abstract
Bipolar disease features states of severe depression that usually fluctuate with at least one episode of intense elation or mania. It is a disorder that has been thought for some time to have a heritable component. The lifetime prevalence of bipolar disease in the general population is approximately 1%. In contrast, family studies have shown the approximate lifetime risk of a first-degree relative of a bipolar proband to be 5% to 10%. Moreover, studies of monozygotic twins show that their risk of contracting the disease is as much as 75 times greater than that for the general population. In addition, adoption studies have demonstrated that biological relatives of bipolar patients are substantially more likely to have the disorder than are adoptive relatives.
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Affiliation(s)
- Levi Taylor
- Harvard Medical School, Department of Psychiatry at the Massachusetts Mental Health Center, 74 Fenwood Road, Boston, MA 02115, USA
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