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Wang Z, Li Z, Gao K, Fang Y. Association between brain-derived neurotrophic factor genetic polymorphism Val66Met and susceptibility to bipolar disorder: a meta-analysis. BMC Psychiatry 2014; 14:366. [PMID: 25539739 PMCID: PMC4297385 DOI: 10.1186/s12888-014-0366-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2014] [Accepted: 12/17/2014] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND In view of previous conflicting findings, this meta-analysis was performed to comprehensively determine the overall strength of associations between brain-derived neurotrophic factor (BDNF) genetic polymorphism Val66Met and susceptibility to bipolar disorders (BPD). METHODS Literatures published and cited in Pubmed and Wanfang Data was searched with terms of 'Val66Met', 'G196A', 'rs6265', 'BDNF', 'association', and 'bipolar disorder' up to March 2014. All original case-control association studies were meta-analyzed with a pooled OR to estimate the risk and 95% confidence interval (CI) to reflect the magnitude of variance. RESULTS Twenty-one case-control association studies met our criteria for the meta-analysis. Overall, there was no significant difference in allelic distribution of Val66Met polymorphism between patients and controls with a pooled OR = 1.03 (95% CI 0.98, 1.08) although there was a trend towards association between Val66Met polymorphism and BPD in Caucasians with an OR of 1.08 (95% CI 1.00, 1.16). However, subgroup analyses showed that there was a significant association of Val allele with decreased disease susceptibility for bipolar disorder type II with a pooled OR of 0.88 (95% CI 0.78, 0.99). CONCLUSIONS There is no compelling evidence to supportVal66Met polymorphism in BDNF gene playing an important role in the susceptibility to BPD across different ethnicities.
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Affiliation(s)
- Zuowei Wang
- Division of Mood Disorders, Hongkou District Mental Health Center of Shanghai, Shanghai, 200083, P. R. China. .,Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China.
| | - Zezhi Li
- Department of Neurology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, P. R. China.
| | - Keming Gao
- Department of Psychiatry, Mood and Anxiety Clinic in the Mood Disorders Program, University Hospitals Case Medical Center/Case Western Reserve University School of Medicine, Cleveland, Ohio, 44106, USA.
| | - Yiru Fang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China.
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Wu R, Fan J, Zhao J, Calabrese JR, Gao K. The relationship between neurotrophins and bipolar disorder. Expert Rev Neurother 2013; 14:51-65. [DOI: 10.1586/14737175.2014.863709] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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3
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Wong J, Duncan CE, Beveridge NJ, Webster MJ, Cairns MJ, Shannon Weickert C. Expression of NPAS3 in the human cortex and evidence of its posttranscriptional regulation by miR-17 during development, with implications for schizophrenia. Schizophr Bull 2013; 39:396-406. [PMID: 22228753 PMCID: PMC3576160 DOI: 10.1093/schbul/sbr177] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
NPAS3 is a developmentally important transcription factor that has been associated with psychiatric illness. Our aim is to better define the regulation of NPAS3 mRNA (messenger RNA) levels during normal human prefrontal cortical development and in schizophrenia. Utilizing postmortem tissue from 134 human brains, we assessed: 60 normal brains ranging in age from birth to adulthood, 37 chronic individuals with schizophrenia, and 37 matched controls. mRNA and microRNA (miRNA) expressions were measured by microarray and quantitative real-time PCR. Protein expression was measured by Western blotting. During human postnatal cortical development (neonate to adult), we found decreased NPAS3 mRNA yet increased NPAS3 protein expression, suggesting the involvement of posttranscriptional regulation. Through screening, we identified one NPAS-targeted miRNA (miR-17) that changed in a pattern consistent with the developmental regulation of NPAS3. Using luciferase reporter assays, we assessed the impact of miR-17 on NPAS3 translation and demonstrated that miR-17 alters NPAS3 biosynthesis by binding to the NPAS3 3'untranslated region (UTR). In schizophrenia prefrontal cortex, we found significant elevations in miR-17 expression. While NPAS3 mRNA was unaltered, reduced NPAS3 protein expression was detected in a subpopulation of people with schizophrenia. The reciprocal expression of NPAS3 mRNA and protein during postnatal development mediated by a schizophrenia-associated change in miR-17 suggests that there is complex control over NPAS3 synthesis in the human prefrontal cortex and that if NPAS3 is dysregulated in schizophrenia, it is not evident by large changes in NPAS3 expression. Further studies into how changes in NPAS3 or its miRNA regulator may influence the development of schizophrenia are warranted.
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Affiliation(s)
- Jenny Wong
- All 3 authors made equal contributions to the article
| | - Carlotta E. Duncan
- Schizophrenia Research Institute, Sydney, Australia,Neuroscience Research Australia, Randwick, New South Wales, Australia,All 3 authors made equal contributions to the article
| | - Natalie J. Beveridge
- Schizophrenia Research Institute, Sydney, Australia,School of Biomedical Sciences and Pharmacy, Faculty of Health, Centre for Brain and Mental Health Research and Hunter Medical Research Institute, The University of Newcastle, New South Wales, Australia,All 3 authors made equal contributions to the article
| | | | - Murray J. Cairns
- Schizophrenia Research Institute, Sydney, Australia,School of Biomedical Sciences and Pharmacy, Faculty of Health, Centre for Brain and Mental Health Research and Hunter Medical Research Institute, The University of Newcastle, New South Wales, Australia
| | - Cynthia Shannon Weickert
- Schizophrenia Research Institute, Sydney, Australia,Neuroscience Research Australia, Randwick, New South Wales, Australia,School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia,All 3 authors made equal contributions to the article
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4
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Gadelha A, Ota VK, Cano JP, Melaragno MI, Smith MAC, de Jesus Mari J, Bressan RA, Belangero SI, Breen G. Linkage replication for chromosomal region 13q32 in schizophrenia: evidence from a Brazilian pilot study on early onset schizophrenia families. PLoS One 2012; 7:e52262. [PMID: 23300629 PMCID: PMC3534097 DOI: 10.1371/journal.pone.0052262] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2012] [Accepted: 11/12/2012] [Indexed: 11/18/2022] Open
Abstract
We report analyses of a Brazilian study of early onset schizophrenia (BEOS) families. We genotyped 22 members of 4 families on a linkage SNP array and report here non-parametric linkage analyses using MERLIN® software. We found suggestive evidence for linkage on two chromosomal regions, 13q32 and 11p15.4. A LOD score of 2.71 was observed at 13q32 with a one LOD interval extending from 60.63–92.35 cM. From simulations, this LOD score gave a genome-wide empirical corrected p = 0.33, after accounting for all markers tested. Similarly 11p15.4 showed the same maximum LOD of 2.71 and a narrower one LOD interval of 4–14 cM. Of these, 13q32 has been reported to be linked to schizophrenia by multiple different studies. Thus, our study provides additional supporting evidence for an aetiological role of variants at 13q32 in schizophrenia.
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Affiliation(s)
- Ary Gadelha
- Interdisciplinary Lab of Clinical Neurosciences (LiNC), and Schizophrenia Program (PROESQ), Department of Psychiatry, Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil.
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5
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Kranz TM, Ekawardhani S, Lin MK, Witzmann SR, Streit F, Schuelter U, Bauer H, Henseler D, Turner JD, Muller CP, Reif A, Schote AB, Meyer J. The chromosome 15q14 locus for bipolar disorder and schizophrenia: is C15orf53 a major candidate gene? J Psychiatr Res 2012; 46:1414-20. [PMID: 22944046 DOI: 10.1016/j.jpsychires.2012.08.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2012] [Revised: 06/10/2012] [Accepted: 08/10/2012] [Indexed: 10/27/2022]
Abstract
Bipolar disorder (BD) and schizophrenia are complexly inherited and highly heritable disorders with currently unknown etiologies. Recently, two independent genome-wide association studies for BD identified a small region on chromosome 15q14-15.1, pointing to a locus close to the gene C15orf53. Previously, this genomic region was also found to co-segregate with periodic catatonia (SCZD10, OMIM %605419), an unsystematic schizophrenia according to Leonhard's classification, in several multiplex families, thus pointing to overlapping etiologies of both conditions. A susceptibility locus on chromosome 15q14-15.1 was narrowed down to a 4.38 Mb region in these affected families followed by mutation and segregation analyses of C15orf53. Association analysis of individuals affected by BD and/or SCZD10 (n = 274) and controls (n = 230) and expression analyses in distinct post-mortem human limbic brain tissues were conducted. C15orf53 revealed no mutations in our SCZD10 family members, but segregation of two common haplotypes was found. No association of identified haplotypes was found in our case-control samples. Gene expression could be demonstrated for immune-system-derived cells but not for the post-mortem human limbic brain tissue. Our results indicate that C15orf53 is probably neither causative for the etiology of BD nor for SCZD10 in our samples.
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Affiliation(s)
- Thorsten M Kranz
- Department of Neurobehavioral Genetics, Institute of Psychobiology, University of Trier, Johanniterufer 15, 54290 Trier, Germany.
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Identification of chromosome abnormalities in screening of a family with manic depression and psoriasis: predisposition to aneuploidy. Asian J Psychiatr 2012; 5:169-74. [PMID: 22813662 DOI: 10.1016/j.ajp.2012.02.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2011] [Revised: 02/09/2012] [Accepted: 02/10/2012] [Indexed: 11/21/2022]
Abstract
Cytogenetic analysis is an important stage in understanding the genetic background of manic depression (MD), and may provide a valuable clue to the identification of target loci and successful search for major genes. In order to identify chromosomal regions we aimed to detect the relationships between chromosomal aberrations (CAs) and immunological markers in a family with MD and psoriasis. We used the cell cultivation and conventional G-banding. We found predominantly numerical aberrations. The most common aneuploidy was chromosome 8, followed by chromosome 22, 21, 15, X and Y. However, structural aberrations consisted of duplications, deletions, translocations and breaks, with a focus on: loci on del(1)(q12-q23), del(1)(q21.1-q24), del(1)(q21.1-q23), del(10)(p11.2-pter), der(2)t(2;4)(p25;p12), t(2;22)(p14;p13), t(19;Y)? and dup(10)(q26). The susceptibility genes of MD or psoriasis may be located on these loci. Numerical sex CAs included 4(5.8%) with 45,X, 3(4.3%) with 47,XXY, and 4(5.8%) with structural chromosome X; del(X)(q13); del(X)(p11-pter) del(X)(q21.3) and inv(Y)(q11.2). We also conducted an immunological study. According results of this study, the percentage of CD2+, CD4+ and CD8+ lymphocytes of the father were significantly higher, whereas CD4+ lymphocytes were decreased in the mother, when compared the healthy persons. The percentage of CD4 level of the son was decreased, whereas CD8+ lymphocytes were higher. The CD4/CD8 ratio of the father and the son was found to be significantly high. These results may suggest that MD and psoriasis have a significant impact on both genetic and immunological parameters.
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Evidence for association of the non-duplicated region of CHRNA7 gene with bipolar disorder but not with Schizophrenia. Psychiatr Genet 2011; 20:289-97. [PMID: 20463630 DOI: 10.1097/ypg.0b013e32833a9b7a] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Biological evidence in both human and animal studies suggests α7 neuronal nicotinic acetylcholine receptor subunit gene (CHRNA7) as a suitable functional candidate for genetic studies in psychiatric populations. This gene maps to chromosome 15q13-14, a major linkage hotspot for schizophrenia (SCH) and bipolar disorder (BD). In this study we examine the role of CHRNA7 in influencing the risk of SCH and BD. METHODS In the present investigation four SNPs of the non-duplicated region of CHRNA7 were genotyped: -86C/T variant, located in the 5'-upstream regulatory region; and three intronic polymorphisms (rs883473, rs6494223 and rs904952). Genetic analysis was performed on 510 patients diagnosed with SCH, 245 with BD and on 793 unrelated healthy controls. RESULTS SNP analysis suggested a significant difference in -86C/T allele (P=0.025) and genotype (P=0.03) frequencies between BD and control groups, although significance was lost after correction for multiple testing. Besides, the nucleotide change (T) in rs6494223 had a protective effect against BD [odds ratio (OR)=0.70 (0.57-0.87); P=0.001]. Genotype frequencies also showed significant association (P=0.001) [CT genotype OR=0.71 (0.5-0.96); TT genotype OR=0.47 (0.29-0.77)]. Haplotypic analysis revealed a positive association of the gene with BD (global-stat=24.18, P value=0.007) with a maximum effect in the region that covered introns 3 and 4. In contrast, no evidence of risk variants was found in the analysis of the SCH sample. CONCLUSION Our data support the non-duplicated region of CHRNA7 gene as a susceptibility region for BD but not for SCH. Further genotyping of this region may help to delimit the causal polymorphism.
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8
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Bergen SE, Fanous AH, Walsh D, O’Neill FA, Kendler KS. Polymorphisms in SLC6A4, PAH, GABRB3, and MAOB and modification of psychotic disorder features. Schizophr Res 2009; 109:94-7. [PMID: 19268543 PMCID: PMC2682723 DOI: 10.1016/j.schres.2009.02.009] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2008] [Revised: 02/09/2009] [Accepted: 02/10/2009] [Indexed: 12/01/2022]
Abstract
We tested four genes [phenylalanine hydroxylase (PAH), the serotonin transporter (SLC6A4), monoamine oxidase B (MAOB), and the gamma-aminobutyric acid A receptor beta-3 subunit (GABRB3)] for their impact on five schizophrenia symptom factors: delusions, hallucinations, mania, depression, and negative symptoms. In a 90 family subset of the Irish Study of High Density Schizophrenia Families, the PAH 232 bp microsatellite allele demonstrated significant association with the delusions factor using both QTDT (F=8.0, p=.031) and QPDTPHASE (chi-square=12.54, p=.028). Also, a significant association between the GABRB3 191 bp allele and the hallucinations factor was detected using QPDTPHASE (chi-square=15.51, p=.030), but not QTDT (chi-square=2.07, p=.560).
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Affiliation(s)
- Sarah E. Bergen
- Virginia Commonwealth University, Department of Human and Molecular Genetics, Richmond, Virginia, USA,Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Ayman H. Fanous
- Virginia Commonwealth University, Department of Psychiatry, Richmond, Virginia, USA,Washington VA Medical Center, Washington, DC, USA,Georgetown University Medical Center, Department of Psychiatry, Washington, DC, USA,Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Dermot Walsh
- Health Research Board and St. Loman’s Hospital, Dublin, Ireland
| | | | - Kenneth S. Kendler
- Virginia Commonwealth University, Department of Human and Molecular Genetics, Richmond, Virginia, USA,Virginia Commonwealth University, Department of Psychiatry, Richmond, Virginia, USA,Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
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9
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Crespi B. Genomic imprinting in the development and evolution of psychotic spectrum conditions. Biol Rev Camb Philos Soc 2008; 83:441-93. [PMID: 18783362 DOI: 10.1111/j.1469-185x.2008.00050.x] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
I review and evaluate genetic and genomic evidence salient to the hypothesis that the development and evolution of psychotic spectrum conditions have been mediated in part by alterations of imprinted genes expressed in the brain. Evidence from the genetics and genomics of schizophrenia, bipolar disorder, major depression, Prader-Willi syndrome, Klinefelter syndrome, and other neurogenetic conditions support the hypothesis that the etiologies of psychotic spectrum conditions commonly involve genetic and epigenetic imbalances in the effects of imprinted genes, with a bias towards increased relative effects from imprinted genes with maternal expression or other genes favouring maternal interests. By contrast, autistic spectrum conditions, including Kanner autism, Asperger syndrome, Rett syndrome, Turner syndrome, Angelman syndrome, and Beckwith-Wiedemann syndrome, commonly engender increased relative effects from paternally expressed imprinted genes, or reduced effects from genes favouring maternal interests. Imprinted-gene effects on the etiologies of autistic and psychotic spectrum conditions parallel the diametric effects of imprinted genes in placental and foetal development, in that psychotic spectrum conditions tend to be associated with undergrowth and relatively-slow brain development, whereas some autistic spectrum conditions involve brain and body overgrowth, especially in foetal development and early childhood. An important role for imprinted genes in the etiologies of psychotic and autistic spectrum conditions is consistent with neurodevelopmental models of these disorders, and with predictions from the conflict theory of genomic imprinting.
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Affiliation(s)
- Bernard Crespi
- Department of Biosciences, Simon Fraser University, Burnaby BCV5A1S6, Canada.
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Marcheco-Teruel B, Flint TJ, Wikman FP, Torralbas M, González L, Blanco L, Tan Q, Ewald H, Orntoft T, Kruse TA, Børglum AD, Mors O. A genome-wide linkage search for bipolar disorder susceptibility loci in a large and complex pedigree from the eastern part of Cuba. Am J Med Genet B Neuropsychiatr Genet 2006; 141B:833-43. [PMID: 16917938 DOI: 10.1002/ajmg.b.30314] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
We present results from a genome-wide scan of a six generation pedigree with 28 affected members with apparently dominant bipolar I disorder from eastern Cuba. Genotypes were obtained using the early access version of the Genechip Mapping 10K Xba array from AFFYMETRIX. Parametric and non-parametric linkage analyses under dominant and recessive models were performed using GENEHUNTER v2.1r5. Two phenotypic models were included in the analyses: bipolar I disorder and recurrent depressive disorder, or bipolar I disorder only. LOD scores were calculated for the entire family combined, and for four subdivisions of the family. For the entire family a suggestive parametric LOD score was obtained under the dominant model and the broader phenotype at 14q11.2-12 (LOD = 2.05). In the same region, a non-parametric LOD score close to genome-wide significance was also obtained, based on the entire family (NPL = 7.31, P-value = 0.07). For two individual branches of the pedigree, genome-wide significance (P < 0.005) was obtained with NPL scores of 8.71 and 12.99, respectively, also in the same region on chromosome 14. Chromosome 5q21.3-22.3 also showed close to genome-wide significant linkage for the complete pedigree (NPL = 7.26, P = 0.07), also supported by significant linkage in one individual branch (NPL = 9.86, P < 0.005). In addition, genome-wide significant nonparametric results (P-values <0.005) were obtained for individual branches at 5p13.1-q12.3, 6p22.3, 8q13.3-21.13, and 10q22.3-23.32. Finally, 2p25.1-25.3, 2p13.3-14, 3p14.2, 6p22.3-24.1, 7p14.1-14.2, 8q12.2-12.3, 10q21.1-21.2, 14q13.1-21.1, 15q15.1-21.2, and 22q12.3-13.32 showed suggestive linkage in the complete family. Most of these potential susceptibility loci overlap with, or are close, to previous linkage findings. The locus on 5q may, however, represent a novel susceptibility locus.
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Affiliation(s)
- B Marcheco-Teruel
- National Center of Medical Genetics, Reparto Cubanacán, Playa, Havana, Cuba.
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11
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Brunskill EW, Ehrman LA, Williams MT, Klanke J, Hammer D, Schaefer TL, Sah R, Dorn GW, Potter SS, Vorhees CV. Abnormal neurodevelopment, neurosignaling and behaviour in Npas3-deficient mice. Eur J Neurosci 2005; 22:1265-76. [PMID: 16190882 DOI: 10.1111/j.1460-9568.2005.04291.x] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Npas3 is a member of the bHLH-PAS superfamily of transcription factors that is expressed broadly in the developing neuroepithelium. To study the function of this gene, mice deficient in Npas3 were generated and characterized. Npas3-/- mice were growth-retarded and exhibited developmental brain abnormalities that included a reduction in size of the anterior hippocampus, hypoplasia of the corpus callosum and enlargement of the ventricles. A number of behavioural abnormalities were identified in Npas3-/- mice including locomotor hyperactivity, subtle gait defects, impairment of prepulse inhibition of acoustic startle, deficit in recognition memory and altered anxiety-related responses. Characterization of neurosignaling pathways using several pharmacological agents revealed dysfunctional glutamate, dopamine and serotonin neurotransmitter signaling. Consistent with these findings, we identified a significant alteration in cortical PSD-95 expression, a PDZ-containing protein that has been shown to be involved in postsynaptic signal transduction. Together, our observations indicate an important role for Npas3 in controlling normal brain development and neurosignaling pathways.
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Affiliation(s)
- Eric W Brunskill
- Division of Cardiology, University of Cincinnati College of Medicine, 231 Albert Sabin Way, Cincinnati, OH 45267, USA.
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12
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Kealey C, Roche S, Claffey E, McKeon P. Linkage and candidate gene analysis of 14q22-24 in bipolar disorder: support for GCHI as a novel susceptibility gene. Am J Med Genet B Neuropsychiatr Genet 2005; 136B:75-80. [PMID: 15909293 DOI: 10.1002/ajmg.b.30192] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Using a collection of Irish sib-pair nuclear families, we previously obtained modest evidence of linkage implicating 14q22-24 in bipolar disorder (BPD). To follow-up on this preliminary finding, an extended linkage analysis was performed which employed thirteen microsatellite markers, spanning a total distance of 85 cM on 14q. Effectively, P-values <0.05 were observed for a region extending over 41.88 cM, with the marker D14S281 displaying a peak multipoint non-parametric lod (NPL) score of 2.72 and an associated P-value of 0.003. Support for this finding was also obtained from flanking markers indicating excess allele sharing at 14q22-24 in Irish bipolar sib-pairs. A web-based candidate gene search of 14q22-24 resulted in the selection of GTP cyclohydrolase I (GCHI), located 200 kb 3' of D14S281, as the best plausible candidate gene for involvement in BPD. GCHI is the rate-limiting enzyme in the biosynthesis of tetrahydrobiopterin (BH(4)), a natural cofactor for tyrosine and tryptophan hydroxylases. These enzymes play an essential role in the biosynthesis of various hormones and neurotransmitters such as dopamine, noradrenaline, adrenaline, and serotonin. Numerous studies have also suggested that the clinical symptoms of depression might be related to a deficiency of BH(4). An association study between BPD and a novel single nucleotide polymorphism (SNP) in GCHI (G to A at position -959 bp, upstream of the ATG codon), is also presented here. This study revealed that the variant A allele is preferentially transmitted to BPI probands (chi(2) = 4.54, P = 0.033) suggesting that variants within GCHI may contribute to BPD in the Irish population.
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Affiliation(s)
- Carmel Kealey
- Department of Pharmacology and Centre for Pharmacogenetics, University of Pennsylvania School of Medicine, Philadelphia, 19104, USA.
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13
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Green E, Craddock N. Brain-derived neurotrophic factor as a potential risk locus for bipolar disorder: Evidence, limitations, and implications. ACTA ACUST UNITED AC 2004. [DOI: 10.1007/bf02629417] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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14
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Green E, Craddock N. Brain-derived neurotrophic factor as a potential risk locus for bipolar disorder: evidence, limitations, and implications. Curr Psychiatry Rep 2003; 5:469-76. [PMID: 14609502 DOI: 10.1007/s11920-003-0086-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Brain-derived neurotrophic factor (BDNF) plays an important role in promoting and modifying growth, development, and survival of neuronal populations, and, in the mature nervous system, is involved in activity-dependent neuronal plasticity. Based on several lines of evidence, BDNF has been hypothesized to play an important role in the pathogenesis of mood disorder and the therapeutic action of at least some effective treatments. The gene encoding BDNF lies on the short arm of chromosome 11 in a region where some linkage studies of bipolar disorder have reported evidence for a susceptibility gene. BDNF can, thus, be considered as an attractive candidate gene for involvement in the pathogenesis of bipolar disorder, and two recent family-based association studies have provided evidence that one or more sequence variants within or near the BDNF gene show an association with disease susceptibility. These findings are of great interest and may open up a new chapter in the understanding of the causation and treatment of bipolar disorder. However, it is still early in the genetic investigation of BDNF in bipolar disorder, and it is important that these findings are replicated in large independent samples and that functional studies can confirm and characterize the pathogenic relevance of this genetic variation.
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Affiliation(s)
- Elaine Green
- Neuropsychiatric Genetics Unit, Department of Psychological Medicine, University of Wales College of Medicine, Heath Park, Cardiff, CF14 4XN, UK
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15
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McInnis MG, Dick DM, Willour VL, Avramopoulos D, MacKinnon DF, Simpson SG, Potash JB, Edenberg HJ, Bowman ES, McMahon FJ, Smiley C, Chellis JL, Huo Y, Diggs T, Meyer ET, Miller M, Matteini AT, Rau NL, DePaulo JR, Gershon ES, Badner JA, Rice JP, Goate AM, Detera-Wadleigh SD, Nurnberger JI, Reich T, Zandi PP, Foroud TM. Genome-wide scan and conditional analysis in bipolar disorder: evidence for genomic interaction in the National Institute of Mental Health genetics initiative bipolar pedigrees. Biol Psychiatry 2003; 54:1265-73. [PMID: 14643094 DOI: 10.1016/j.biopsych.2003.08.001] [Citation(s) in RCA: 71] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND In 1989 the National Institute of Mental Health began a collaborative effort to identify genes for bipolar disorder. The first 97 pedigrees showed evidence of linkage to chromosomes 1, 6, 7, 10, 16, and 22 (Nurnberger et al 1997). An additional 56 bipolar families have been genotyped, and the combined sample of 153 pedigrees studied. METHODS Three hierarchical affection status models were analyzed with 513 simple sequence repeat markers; 298 were common across all pedigrees. The primary analysis was a nonparametric genome-wide scan. We performed conditional analyses based on epistasis or heterogeneity for five regions. RESULTS One region, on 16p13, was significant at the genome-wide p <.05 level. Four additional chromosomal regions (20p12, 11p15, 6q24, and 10p12) showed nominally significant linkage findings (p </=.01). Conditional analysis assuming epistasis identified a significant increase in linkage at four regions. Families linked to 6q24 showed a significant increase in nonparametric logarithms of the odds (NPL) scores at 5q11 and 7q21. Epistasis also was observed between 20p12 and 13q21, and 16p13 and 9q21. CONCLUSIONS The findings are presented in rank order of nominal significance. Several of these regions have been previously implicated in independent studies of either bipolar disorder or schizophrenia. The strongest finding is at 16p13 at D16S748 with an NPL of 3.3, there is evidence of epistasis between this locus and 9q21. Application of conditional analyses is potentially useful in larger sample collections to identify susceptibility genes of modest influence that may not be identified in a genome-wide scan aimed to identify single gene effects.
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Affiliation(s)
- Melvin G McInnis
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21287-7463, USA
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16
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Gerber DJ, Hall D, Miyakawa T, Demars S, Gogos JA, Karayiorgou M, Tonegawa S. Evidence for association of schizophrenia with genetic variation in the 8p21.3 gene, PPP3CC, encoding the calcineurin gamma subunit. Proc Natl Acad Sci U S A 2003; 100:8993-8. [PMID: 12851458 PMCID: PMC166426 DOI: 10.1073/pnas.1432927100] [Citation(s) in RCA: 193] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Schizophrenia is a severe psychiatric disorder characterized by a complex mode of inheritance. Forebrain-specific CNB knockout mice display a spectrum of behavioral abnormalities related to altered behaviors observed in schizophrenia patients. To examine whether calcineurin dysfunction is involved in schizophrenia etiology, we undertook studies of an initial subset of calcineurin-related genes, prioritizing ones that map to loci previously implicated in schizophrenia by linkage studies. Transmission disequilibrium studies in a large sample of affected families detected association of the PPP3CC gene, which encodes the calcineurin gamma catalytic subunit, with disease. Our results identify PPP3CC, located at 8p21.3, as a potential schizophrenia susceptibility gene and support the proposal that alterations in calcineurin signaling contribute to schizophrenia pathogenesis.
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Affiliation(s)
- David J Gerber
- Howard Hughes Medical Institute, RIKEN/Massachusetts Institute of Technology Neuroscience Research Center, The Picower Center for Learning and Memory, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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17
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Serretti A, Cusin C, Cristina S, Lorenzi C, Lilli R, Lattuada E, Grieco G, Costa A, Santorelli F, Barale F, Smeraldi E, Nappi G. Psychiatr Genet 2003; 13:121-126. [DOI: 10.1097/00041444-200306000-00012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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18
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Abstract
Schizophrenia is a common and debilitating illness, characterized by chronic psychotic symptoms and psychosocial impairment that exact considerable human and economic costs. The literature in electronic databases as well as citations and major articles are reviewed with respect to the phenomenology, pathology, treatment, genetics and neurobiology of schizophrenia. Although studied extensively from a clinical, psychological, biological and genetic perspective, our expanding knowledge of schizophrenia provides only an incomplete understanding of this complex disorder. Recent advances in neuroscience have allowed the confirmation or refutation of earlier findings in schizophrenia, and permit useful comparisons between the different levels of organization from which the illness has been studied. Schizophrenia is defined as a clinical syndrome that may include a collection of diseases that share a common presentation. Genetic factors are the most important in the etiology of the disease, with unknown environmental factors potentially modulating the expression of symptoms. Schizophrenia is a complex genetic disorder in which many genes may be implicated, with the possibility of gene-gene interactions and a diversity of genetic causes in different families or populations. A neurodevelopmental rather than degenerative process has received more empirical support as a general explanation of the pathophysiology, although simple dichotomies are not particularly helpful in such a complicated disease. Structural brain changes are present in vivo and post-mortem, with both histopathological and imaging studies in overall agreement that the temporal and frontal lobes of the cerebral cortex are the most affected. Functional imaging, neuropsychological testing and clinical observation are also generally consistent in demonstrating deficits in cognitive ability that correlate with abnormalities in the areas of the brain with structural abnormalities. The dopamine and other neurotransmitter systems are certainly involved in the treatment or modulation of psychotic symptoms. These broad findings represent the distillation of a large body of disparate data, but firm and specific findings are sparse, and much about schizophrenia remains unknown.
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Affiliation(s)
- Albert Hung Choy Wong
- Centre for Addiction and Mental Health, 250 College Street, M5T 1R8, Toronto, Ont., Canada.
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19
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PRASAD SUMAN, SEMWAL PRACHI, DESHPANDE SMITA, BHATIA TRIPTISH, NIMGAONKAR VL, THELMA BK. Molecular genetics of schizophrenia: past, present and future. J Biosci 2002; 27:35-52. [PMID: 11927776 PMCID: PMC11483222 DOI: 10.1007/bf02703682] [Citation(s) in RCA: 41] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Schizophrenia is a severe neuropsychiatric disorder with a polygenic mode of inheritance which is also governed by non-genetic factors. Candidate genes identified on the basis of biochemical and pharmacological evidence are being tested for linkage and association studies. Neurotransmitters, especially dopamine and serotonin have been widely implicated in its etiology. Genome scan of all human chromosomes with closely spaced polymorphic markers is being used for linkage studies. The completion and availability of the first draft of Human Genome Sequence has provided a treasure-trove that can be utilized to gain insight into the so far inaccessible regions of the human genome. Significant technological advances for identification of single nucleo-tide polymorphisms (SNPs) and use of microarrays have further strengthened research methodologies for genetic analysis of complex traits. In this review, we summarize the evolution of schizophrenia genetics from the past to the present, current trends and future direction of research.
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Affiliation(s)
- SUMAN PRASAD
- Department of Genetics, University of Delhi South Campus, Benito Juarez Road, New Delhi 110 021, India
- Department of Psychiatry, Dr Ram Manohar Lohia Hospital, New Delhi 110 001, India
- Department of Psychiatry and Human Genetics, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, PA 15213, USA
| | - PRACHI SEMWAL
- Department of Genetics, University of Delhi South Campus, Benito Juarez Road, New Delhi 110 021, India
- Department of Psychiatry, Dr Ram Manohar Lohia Hospital, New Delhi 110 001, India
- Department of Psychiatry and Human Genetics, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, PA 15213, USA
| | - SMITA DESHPANDE
- Department of Psychiatry, Dr Ram Manohar Lohia Hospital, New Delhi 110 001, India
| | - TRIPTISH BHATIA
- Department of Genetics, University of Delhi South Campus, Benito Juarez Road, New Delhi 110 021, India
- Department of Psychiatry, Dr Ram Manohar Lohia Hospital, New Delhi 110 001, India
- Department of Psychiatry and Human Genetics, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, PA 15213, USA
| | - V L NIMGAONKAR
- Department of Psychiatry and Human Genetics, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, PA 15213, USA
| | - B K THELMA
- Corresponding author (Fax, 91-11-6885270; )
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20
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Abstract
Association studies in outbred populations represent an important paradigm for investigation of complex traits, such as bipolar disorder, both to follow-up regions of interest from linkage studies (by systematic linkage disequilibrium mapping and positional candidate studies) and for pure functional studies. The advantages of the association method include its relative robustness to genetic heterogeneity and the ability to detect much smaller effect sizes than are detectable using feasible sample sizes in linkage studies. The candidate gene approach is potentially very powerful, particularly when used within the context of a VAPSE (variation affecting protein structure or expression) paradigm, but a major problem is that the efficiency in the choice of candidates is inevitably a function of the level of previous understanding of disease pathophysiology. To date, most candidate gene studies in bipolar disorder have focussed on the major neurotransmitter systems that are influenced by medication used in clinical management of the disorder. Early studies often used anonymous markers in the hope of detecting linkage disequilibrium but recently direct examination of polymorphisms of known or presumed functional relevance has become more usual. Most studies in the literature have been of the unrelated case-control design with samples rarely exceeding 200-300 subjects. No definitive findings have yet emerged although there have been some interesting preliminary findings including those with polymorphisms within the genes encoding catechol-o-methyl transferase (COMT), monoamine oxidase A (MAOA) and the serotonin transporter (hSERT; 5-HTT). In this article we critically review the current status of the literature within the context of the important methodological issues and limitations inherent in the use of association studies for genetic dissection of bipolar disorder. We conclude by examining likely future directions and developments in the field.
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Affiliation(s)
- N Craddock
- Division of Neuroscience, University of Birmingham, Birmingham, UK.
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21
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Kealey C, Reynolds A, Mynett-Johnson L, Claffey E, McKeon P. No evidence to support an association between the oestrogen receptor beta gene and bipolar disorder. Psychiatr Genet 2001; 11:223-6. [PMID: 11807414 DOI: 10.1097/00041444-200112000-00008] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Oestrogen, a sex steroid hormone, has long been hypothesized to be involved in alterations to pathways involved in neurotransmission, and therefore may be involved in neuropsychiatric conditions including bipolar disorder. Indeed, certain depressive disorders in women have been found to be associated with low levels of oestrogen and can be much improved by the administration of this hormone. As the effects of oestrogen are most probably mediated through the oestrogen receptors (ER alpha and ER beta), the genes encoding these receptors may be possible candidates for association studies with bipolar disorder and other neuropsychiatric disorders. A number of studies, including previous results from this group, have reported modest evidence of linkage between both bipolar disorder and schizophrenia and a region of chromosome 14 (q22-q24), where the ER beta gene has been localized. In the present study, a sample of 102 Irish parent-proband trios were genotyped for a single nucleotide polymorphism within the ER beta gene (3' untranslated region, A1730G). However, the transmission/disequilibrium test failed to reveal evidence of a distortion in allele transmission to bipolar I (BPI) probands.
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Affiliation(s)
- C Kealey
- Department of Genetics, Smurfit Institute, Trinity College, Dublin, Ireland.
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22
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Leonard S, Adler LE, Benhammou K, Berger R, Breese CR, Drebing C, Gault J, Lee MJ, Logel J, Olincy A, Ross RG, Stevens K, Sullivan B, Vianzon R, Virnich DE, Waldo M, Walton K, Freedman R. Smoking and mental illness. Pharmacol Biochem Behav 2001; 70:561-70. [PMID: 11796154 DOI: 10.1016/s0091-3057(01)00677-3] [Citation(s) in RCA: 195] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Patients with mental illness have a higher incidence of smoking than the general population and are the major consumers of tobacco products. This population includes subjects with schizophrenia, manic depression, depression, posttraumatic stress disorder (PTSD), attention-deficit disorder (ADD), and several other less common diseases. Smoking cessation treatment in this group of patients is difficult, often leading to profound depression. Several recent findings suggest that increased smoking in the mentally ill may have an underlying biological etiology. The mental illness schizophrenia has been most thoroughly studied in this regard. Nicotine administration normalizes several sensory-processing deficits seen in this disease. Animal models of sensory deficits have been used to identify specific nicotinic receptor subunits that are involved in these brain pathways, indicating that the alpha 7 nicotinic receptor subunit may play a role. Genetic linkage in schizophrenic families also supports a role for the alpha 7 subunit with linkage at the alpha 7 locus on chromosome 15. Bipolar disorder has some phenotypes in common with schizophrenia and also exhibits genetic linkage to the alpha 7 locus, suggesting that these two disorders may share a gene defect. The alpha 7 receptor is decreased in expression in schizophrenia. [(3)H]-Nicotine binding studies in postmortem brain indicate that high-affinity nicotinic receptors may also be affected in schizophrenia.
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Affiliation(s)
- S Leonard
- Department of Psychiatry, University of Colorado Health Sciences Center, Box C-268-71, 4200 East 9th Avenue, Denver, CO 80262, USA.
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23
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Turecki G, Grof P, Grof E, D'Souza V, Lebuis L, Marineau C, Cavazzoni P, Duffy A, Bétard C, Zvolský P, Robertson C, Brewer C, Hudson TJ, Rouleau GA, Alda M. Mapping susceptibility genes for bipolar disorder: a pharmacogenetic approach based on excellent response to lithium. Mol Psychiatry 2001; 6:570-8. [PMID: 11526471 DOI: 10.1038/sj.mp.4000888] [Citation(s) in RCA: 126] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2000] [Revised: 01/22/2001] [Accepted: 01/24/2001] [Indexed: 11/08/2022]
Abstract
Genetic mapping studies in bipolar disorder (BD) have been hampered by the unclear boundaries of the phenotypic spectrum, and possibly, by the complexity of the underlying genetic mechanisms, and heterogeneity. Among the suggested approaches to circumvent these problems, a pharmacogenetic strategy has been increasingly proposed. Several studies have indicated that patients with BD who respond well to lithium prophylaxis constitute a biologically distinct subgroup. In this study we have conducted a complete genome scan using 378 markers spaced at an average distance of 10 cM in 31 families ascertained through excellent lithium responders. Response to lithium was evaluated prospectively with an average follow-up of 12 years. Evidence for linkage was found with a locus on chromosome 15q14 (ACTC, lod score = 3.46, locus-specific P-value = 0.000014) and suggestive results were observed for another marker on chromosome 7q11.2 (D7S1816, lod score = 2.68, locus-specific P-value = 0.00011). Other interesting findings were obtained with markers on chromosomes 6 and 22, namely D6S1050 (lod score = 2.0, locus-specific P-value = 0.00004) and D22S420 (lod score = 1.91). Nonparametric linkage analysis provided additional support for the role of these loci. Further analyses of these results suggested that the locus on chromosome 15q14 may be implicated in the etiology of BD, whereas the 7q11.2 locus may be relevant for lithium response. In conclusion, our results provide original evidence suggesting that loci on 15q14 and 7q11.2 may be implicated in the pathogenesis of BD responsive to lithium.
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Affiliation(s)
- G Turecki
- Douglas Hospital Research Institute, McGill University Health Centre, Montreal, Canada
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24
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Abstract
There is a rapidly accumulating body of evidence from family, adoption and twin studies suggestive of a genetic component to many common mental disorders. In some cases, the transmission of abnormalities has been shown to be dependent upon the sex of the parent from whom they are inherited. Such 'parent-of-origin effects' may be explained by a number of genetic mechanisms, one of which is 'genomic imprinting'. In imprinted genes one allele is silenced according to its parental origin. This in turn means that imprinted traits are passed down the maternal or paternal line, in contrast to the more frequent Mendelian mode of inheritance that is indifferent to the parental origin of the allele. In the present review, we survey the evidence for the influence of imprinted genes on a number of mental disorders, ranging from explicit imprinted conditions, where in some cases abnormalities have been mapped to particular gene candidates, to examples where the evidence for parent-of-origin effects is less strong. We also consider, briefly, the wider implications of imprinted effects on mental dysfunction, in particular with respect to evolutionary pressures on mammalian brain development and function.
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Affiliation(s)
- W Davies
- Neurobiology and Developmental Genetics Programmes, The Babraham Institute, Cambridge, UK
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25
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Shapiro BK. Specific reading disability: a multiplanar view. MENTAL RETARDATION AND DEVELOPMENTAL DISABILITIES RESEARCH REVIEWS 2001; 7:13-20. [PMID: 11241878 DOI: 10.1002/1098-2779(200102)7:1<13::aid-mrdd1003>3.0.co;2-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In the past three decades a revolution has altered the way society approaches people with disabilities. Social changes resulted in a significant increase in fundamental and applied research that seeks to improve the lives of people with disabilities by facilitating better understanding of the mechanisms, manifestations, prevention, and treatment of functional impairment. Specific Reading Disability (SRD) has benefited from this revolution. This review focuses on the evolution of SRD, new information in its neurobiology and management, and the challenges that remain. Evidence from a wide spectrum of research provides strong support for the role of phonology in Specific Reading Disability. Despite the mounting evidence, the case is far from completely established. Adults with compensated SRD read but still demonstrate disordered phonology (Felton et al. [1990] Brain Language 39:485-497). Whether poor phonology is causal or a covariant remains to be demonstrated. Of children with poor phonology, it is not known how many are poor readers. While phonology is associated with SRD, other studies have questioned the uniqueness of SRD. Challenges have been made to the method of classification, the uniqueness of phonological dysfunction as a mechanism in SRD and the response to treatment. In the final analysis all poor readers may have a common core of dysphonology, independent of whether their reading is discrepant from their IQ.
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Affiliation(s)
- B K Shapiro
- The Johns Hopkins University School of Medicine, Kennedy Krieger Institute, Baltimore, Maryland 21205, USA.
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26
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Papadimitriou GN, Dikeos DG, Karadima G, Avramopoulos D, Daskalopoulou EG, Stefanis CN. GABA-A receptor beta3 and alpha5 subunit gene cluster on chromosome 15q11-q13 and bipolar disorder: a genetic association study. AMERICAN JOURNAL OF MEDICAL GENETICS 2001; 105:317-20. [PMID: 11378843 DOI: 10.1002/ajmg.1354] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
There is accumulated evidence that the genes coding for the receptor of gamma aminobutyric acid (GABA), the most important inhibitory neurotransmitter in the CNS, may be involved in the pathogenesis of affective disorders. In a previous study, we have found a genetic association between the GABA-A receptor alpha5 subunit gene locus (GABRA5) on chromosome 15q11-of 13 and bipolar affective disorder. The aim of the present study was to examine the same subjects to see if there exists a genetic association between bipolar affective disorder and the GABA receptor beta3 subunit gene (GABRB3), which is located within 100 kb from GABRA5. The sample consisted of 48 bipolar patients compared to 44 controls (blood donors). All subjects were Greek, unrelated, and personally interviewed. Diagnosis was based on DSM-IV and ICD-10 criteria. The marker used was a dinucleotide (CA) repeat polymorphism with 12 alleles 179 to 201 bp long; genotyping was successful in all patients and 43 controls. The distribution of GABRB3 genotypes among the controls did not deviate significantly from the Hardy-Weinberg equilibrium. No differences in allelic frequencies between bipolar patients and controls were found for GABRB3, while this locus and GABRA5 did not seem to be in significant linkage disequilibrium. In conclusion, the GABRB3 CA-repeat polymorphism we investigated does not present the observed association between bipolar affective illness and GABRA5. This could be due to higher mutation rate in the GABRB3 CA-repeat polymorphism, but it might also signify that GABRA5 is the gene actually associated with the disease.
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Affiliation(s)
- G N Papadimitriou
- Department of Psychiatry, Clinical and Molecular Neurogenetics Unit, Eginition Hospital, Athens University Medical School, Athens, Greece.
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27
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Abstract
Genetic factors undoubtedly play an important role in determining vulnerability to bipolar disorder but the task of finding susceptibility genes is not trivial. Candidate gene studies, usually employing the association approach, offer the potential to discover the genes of relatively modest effect size that are expected for a complex genetic disorder. Candidate gene approaches depend crucially on our current understanding of disease pathophysiology, and attention has consequently been focussed on a limited range of neurotransmitter systems implicated by the action of drug treatments. Despite no unequivocal, consistently replicated findings, a number of intriguing results have emerged in the literature, both for bipolar disorder in general and for subtypes such as bipolar affective puerperal psychosis and rapid cycling bipolar illness. Genes of particular current interest include those encoding the serotonin transporter, monoamine oxidase A (MAOA) and catechol-O-methyl transferase (COMT). As susceptibility genes are found and knowledge of aetiology advanced it is likely that many more candidate genes in novel biological systems will attract attention.
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Affiliation(s)
- I Jones
- Division of Neuroscience, University of Birmingham, UK
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28
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Murphy VE, Mynett-Johnson LA, Claffey E, Bergin P, McAuliffe M, Kealey C, McKeon P. Search for bipolar disorder susceptibility loci: the application of a modified genome scan concentrating on gene-rich regions. AMERICAN JOURNAL OF MEDICAL GENETICS 2000; 96:728-32. [PMID: 11121170 DOI: 10.1002/1096-8628(20001204)96:6<728::aid-ajmg6>3.0.co;2-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Conducting genome wide screens for evidence of genetic linkage has become a well-established method for identifying regions of the human genome harboring susceptibility loci for complex disorders. For bipolar disorder, a number of such studies have been performed, and several regions of the genome have potentially been implicated in the disorder. The classic design for a genome screen involves examining polymorphic genetic markers spaced at regular intervals throughout the genome, typically every 10 cM, for evidence of linkage. An alternative design, based on the observation that genes do not appear to be evenly distributed, was proposed, enabling the number of markers examined in a genome wide screen to be reduced. This article describes the application of such a modified screen to a collection of 48 Irish families with bipolar disorder, comprising a total of 82 affected sib-pairs. From the results obtained a number of regions are highlighted for further study. One of these regions (17q11.1-q12) coincides with the location of a candidate gene, the serotonin transporter, whereas others concur with the findings of published studies. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 96:728-732, 2000.
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Affiliation(s)
- V E Murphy
- Department of Genetics, Smurfit Institute of Genetics, Trinity College, Dublin, Ireland
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29
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Stöber G, Saar K, Rüschendorf F, Meyer J, Nürnberg G, Jatzke S, Franzek E, Reis A, Lesch KP, Wienker TF, Beckmann H. Splitting schizophrenia: periodic catatonia-susceptibility locus on chromosome 15q15. Am J Hum Genet 2000; 67:1201-7. [PMID: 11001582 PMCID: PMC1288562 DOI: 10.1016/s0002-9297(07)62950-4] [Citation(s) in RCA: 84] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2000] [Accepted: 08/17/2000] [Indexed: 10/22/2022] Open
Abstract
The nature of subtypes in schizophrenia and the meaning of heterogeneity in schizophrenia have been considered a principal controversy in psychiatric research. We addressed these issues in periodic catatonia, a clinical entity derived from Leonhard's classification of schizophrenias, in a genomewide linkage scan. Periodic catatonia is characterized by qualitative psychomotor disturbances during acute psychotic outbursts and by long-term outcome. On the basis of our previous findings of a lifetime morbidity risk of 26.9% of periodic catatonia in first-degree relatives, we conducted a genome scan in 12 multiplex pedigrees with 135 individuals, using 356 markers with an average spacing of 11 cM. In nonparametric multipoint linkage analyses (by GENEHUNTER-PLUS), significant evidence for linkage was obtained on chromosome 15q15 (P = 2.6 x 10(-5); nonparametric LOD score [LOD*] 3.57). A further locus on chromosome 22q13 with suggestive evidence for linkage (P = 1.8 x 10(-3); LOD* 1.85) was detected, which indicated genetic heterogeneity. Parametric linkage analysis under an autosomal dominant model (affecteds-only analysis) provided independent confirmation of nonparametric linkage results, with maximum LOD scores 2.75 (recombination fraction [theta].04; two-point analysis) and 2.89 (theta =.029; four-point analysis), at the chromosome 15q candidate region. Splitting the complex group of schizophrenias on the basis of clinical observation and genetic analysis, we identified periodic catatonia as a valid nosological entity. Our findings provide evidence that periodic catatonia is associated with a major disease locus, which maps to chromosome 15q15.
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Affiliation(s)
- G Stöber
- 1Department of Psychiatry and Psychotherapy, University of Würzburg, 97080 Würzburg, Germany.
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30
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Stober G, Saar K, Ruschendorf F, Meyer J, Nurnberg G, Jatzke S, Franzek E, Reis A, Lesch K, Wienker TF, Beckmann H. Splitting Schizophrenia: Periodic Catatonia–Susceptibility Locus on Chromosome 15q15. Am J Hum Genet 2000. [DOI: 10.1086/321183] [Citation(s) in RCA: 83] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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31
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Bennett CN, Horrobin DF. Gene targets related to phospholipid and fatty acid metabolism in schizophrenia and other psychiatric disorders: an update. Prostaglandins Leukot Essent Fatty Acids 2000; 63:47-59. [PMID: 10970713 DOI: 10.1054/plef.2000.0191] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Phospholipids make up about 60% of the brain's dry weight and play key roles in many brain signal tranduction mechanisms. A recent review(1)identified the increasing evidence that abnormal phospholipid and related fatty acid metabolism may contribute to illnesses such as schizophrenia, bipolar disorder, depression and attention deficit hyperactivity disorder. This current paper reviews the main pathways of phospholipid metabolism, emphasizing the role of phospholipases of the A2 in signal tranduction processes. It also updates the chromosomal locations of regions likely to be involved in these disorders, and relates these to the known locations of genes directly or indirectly involved in phospholipid and fatty acid metabolism.
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32
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DeLisi LE, Craddock NJ, Detera-Wadleigh S, Foroud T, Gejman P, Kennedy JL, Lendon C, Macciardi F, McKeon P, Mynett-Johnson L, Nurnberger JI, Paterson A, Schwab S, Van Broeckhoven C, Wildenauer D, Crow TJ. Update on chromosomal locations for psychiatric disorders: report of the interim meeting of chromosome workshop chairpersons from the VIIth World Congress of Psychiatric Genetics, Monterey, California, October 14-18, 1999. AMERICAN JOURNAL OF MEDICAL GENETICS 2000; 96:434-49. [PMID: 10898931 DOI: 10.1002/1096-8628(20000612)96:3<434::aid-ajmg40>3.0.co;2-c] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- L E DeLisi
- Department of Psychiatry, SUNY Stony Brook, NY 11794, USA.
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33
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Leonard S, Breese C, Adams C, Benhammou K, Gault J, Stevens K, Lee M, Adler L, Olincy A, Ross R, Freedman R. Smoking and schizophrenia: abnormal nicotinic receptor expression. Eur J Pharmacol 2000; 393:237-42. [PMID: 10771019 DOI: 10.1016/s0014-2999(00)00035-2] [Citation(s) in RCA: 120] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Biological and genetic evidence suggests a role for the neuronal nicotinic receptors in the neuropathophysiology of schizophrenia. Nicotine normalizes an auditory evoked potential deficit seen in subjects who suffer from the disease. Nicotinic receptors with both high and low affinity for nicotine are decreased in postmortem brain of schizophrenics compared to control subjects. The chromosomal locus of the human alpha-7 gene (15q14) is linked to the gating deficit with a lod of 5.3, and antagonists of the alpha-7 receptor (alpha-bungarotoxin and methyllycaconitine) induce a loss of gating in rodents. We have cloned the human alpha-7 gene and found it to be partially duplicated proximal to the full-length gene. The duplication is expressed in both the brain and in peripheral blood cells of normal subjects, but is missing in some schizophrenic subjects. The results of these studies suggest the presence of abnormal expression and function of the neuronal nicotinic receptor gene family in schizophrenia.
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Affiliation(s)
- S Leonard
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver, CO 80262, USA.
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Friddle C, Koskela R, Ranade K, Hebert J, Cargill M, Clark CD, McInnis M, Simpson S, McMahon F, Stine OC, Meyers D, Xu J, MacKinnon D, Swift-Scanlan T, Jamison K, Folstein S, Daly M, Kruglyak L, Marr T, DePaulo JR, Botstein D. Full-genome scan for linkage in 50 families segregating the bipolar affective disease phenotype. Am J Hum Genet 2000; 66:205-15. [PMID: 10631152 PMCID: PMC1288327 DOI: 10.1086/302697] [Citation(s) in RCA: 64] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/1999] [Accepted: 10/26/1999] [Indexed: 11/03/2022] Open
Abstract
A genome scan of approximately 12-cM initial resolution was done on 50 of a set of 51 carefully ascertained unilineal multiplex families segregating the bipolar affective disorder phenotype. In addition to standard multipoint linkage analysis methods, a simultaneous-search algorithm was applied in an attempt to surmount the problem of genetic heterogeneity. The results revealed no linkage across the genome. The results exclude monogenic models and make it unlikely that two genes account for the disease in this sample. These results support the conclusion that at least several hundred kindreds will be required in order to establish linkage of susceptibility loci to bipolar disorder in heterogeneous populations.
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Affiliation(s)
- Carl Friddle
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Rebecca Koskela
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Koustubh Ranade
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Joan Hebert
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Michele Cargill
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Chris D. Clark
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Melvin McInnis
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Sylvia Simpson
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Francis McMahon
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - O. Colin Stine
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Deborah Meyers
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Jianfeng Xu
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Dean MacKinnon
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Theresa Swift-Scanlan
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Kay Jamison
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Susan Folstein
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Mark Daly
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Leonid Kruglyak
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Thomas Marr
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - J. Raymond DePaulo
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - David Botstein
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
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