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Vouga Ribeiro N, Tavares V, Bramon E, Toulopoulou T, Valli I, Shergill S, Murray R, Prata D. Effects of psychosis-associated genetic markers on brain volumetry: a systematic review of replicated findings and an independent validation. Psychol Med 2022; 52:1-16. [PMID: 36168994 PMCID: PMC9811278 DOI: 10.1017/s0033291722002896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 08/13/2022] [Accepted: 08/24/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Given psychotic illnesses' high heritability and associations with brain structure, numerous neuroimaging-genetics findings have been reported in the last two decades. However, few findings have been replicated. In the present independent sample we aimed to replicate any psychosis-implicated SNPs (single nucleotide polymorphisms), which had previously shown at least two main effects on brain volume. METHODS A systematic review for SNPs showing a replicated effect on brain volume yielded 25 studies implicating seven SNPs in five genes. Their effect was then tested in 113 subjects with either schizophrenia, bipolar disorder, 'at risk mental state' or healthy state, for whole-brain and region-of-interest (ROI) associations with grey and white matter volume changes, using voxel-based morphometry. RESULTS We found FWER-corrected (Family-wise error rate) (i.e. statistically significant) associations of: (1) CACNA1C-rs769087-A with larger bilateral hippocampus and thalamus white matter, across the whole brain; and (2) CACNA1C-rs769087-A with larger superior frontal gyrus, as ROI. Higher replication concordance with existing literature was found, in decreasing order, for: (1) CACNA1C-rs769087-A, with larger dorsolateral-prefrontal/superior frontal gyrus and hippocampi (both with anatomical and directional concordance); (2) ZNF804A-rs11681373-A, with smaller angular gyrus grey matter and rectus gyri white matter (both with anatomical and directional concordance); and (3) BDNF-rs6265-T with superior frontal and middle cingulate gyri volume change (with anatomical and allelic concordance). CONCLUSIONS Most literature findings were not herein replicated. Nevertheless, high degree/likelihood of replication was found for two genome-wide association studies- and one candidate-implicated SNPs, supporting their involvement in psychosis and brain structure.
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Affiliation(s)
- Nuno Vouga Ribeiro
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Vânia Tavares
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Elvira Bramon
- Division of Psychiatry, University College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Timothea Toulopoulou
- Department of Psychology & National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Centre (ASBAM), Bilkent University, Ankara, Turkey
| | - Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Sukhi Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
| | - Robin Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
| | - Diana Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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Priya I, Sharma I, Sharma S, Gupta S, Arora M, Bhat GR, Mahajan R, Kapoor N. Genetic association of DISC1 variant rs3738401 with susceptibility to Schizophrenia risk in North Indian population. Meta Gene 2021. [DOI: 10.1016/j.mgene.2021.100923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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Naghavi-Gargari B, Zahirodin A, Ghaderian SMH, Shirvani-Farsani Z. Significant increasing of DISC2 long non-coding RNA expression as a potential biomarker in bipolar disorder. Neurosci Lett 2018; 696:206-211. [PMID: 30599263 DOI: 10.1016/j.neulet.2018.12.044] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 12/07/2018] [Accepted: 12/28/2018] [Indexed: 11/18/2022]
Abstract
Bipolar disorder (BD) is a mental disorder that is often misdiagnosed with ineffective treatment. It has strong genetic component but unknown pathophysiology. Long non-coding RNAs (lncRNAs) have been recently recognized as one of the important genetic factors and are considered as one of the regulatory mechanisms of nervous system. Given that lncRNAs may be diagnostic biomarkers for BD, we aimed to quantify the levels of DISC1 and DISC2 lncRNA transcripts. The levels of DISC1 and DISC2 lncRNA were tested in peripheral blood mononuclear cells (PBMCs) of 50 BD and 50 controls by real-time PCR. In addition, we performed ROC curve analysis as well as correlation analysis between the gene expression and some clinical features of BD cases. Computational analysis of miRNAs binding sites and CpG Islands on DISC1 and DISC2 lncRNA was performed as well. Significant down-regulation of DISC1 and up-regulation of DISC2 were observed in BD cases compared with controls. The areas under the ROC curve (AUC) for DISC1 and DISC2 lncRNA were 0.76 and 0.68 respectively. There was no significant correlation between the levels of mRNA expression in PBMCs of BD patients and clinical features. These data demonstrated that DISC1 and DISC2 lncRNA expression was potentially associated with an increased risk of bipolar disorder and might involve several molecular mechanisms. Our results revealed that the transcript levels of DISC1 and DISC2 lncRNA could be considered as a good putative biomarker for individuals with bipolar disorder.
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Affiliation(s)
- Bahar Naghavi-Gargari
- Department of Basic Science, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Alireza Zahirodin
- Behavioral Science Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | | | - Zeinab Shirvani-Farsani
- Department of Cellular and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University G.C., Tehran, Islamic Republic of Iran.
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Gene polymorphisms of DISC1 is associated with schizophrenia: Evidence from a meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:64-73. [PMID: 29031911 DOI: 10.1016/j.pnpbp.2017.10.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 10/08/2017] [Accepted: 10/08/2017] [Indexed: 01/08/2023]
Abstract
BACKGROUND Previous studies suggest an association between Disrupted in schizophrenia 1 (DISC1) polymorphisms and schizophrenia (SCZ). However, the available data are often inconsistent, regarding the difference in sample size, ethnicity, genotyping method, etc. Thus, we carried out a meta-analysis to determine whether DISC1 polymorphisms contributed susceptibility to SCZ. METHODS A methodical literature review was operated using the English and Chinese core electronic databases. Odds ratios (ORs) with 95% confidence intervals (CIs) were applied to determine the correlation between DISC1 gene polymorphisms and SCZ susceptibility. Subgroup analyses were carried out by stratification of ethnicity. P values were Bonferroni adjusted to account for multiple testing. Publication bias was evaluated by funnel plots, Egger's test and the trim and fill method. RESULTS Meta-analyses results suggested that DISC1 polymorphisms (rs821616 and rs821597) increased SCZ risk in overall populations. In subgroups of ethnicity, DISC1 polymorphisms (rs821616 and rs821597) was associated with susceptibility to SCZ among the Chinese population (for rs821616: TT+AT vs. AA: OR=1.338, 95% CI=1.124-1.592, P=0.001; T vs. A: OR=1.300, 95% CI=1.124-1.504, P<0.000; for rs821597: AA+AG vs. GG: OR=1.508, 95% CI=1.268-1.794, P<0.001; A vs. G: OR=1.345, 95% CI=1.184-1.527, P<0.001). A positive correlation was also observed between the single marker rs821616 and SCZ among the Japanese population in the recessive model (TT vs. AT+AA: OR=1.524, 95% CI=1.185-1.959, P=0.001). There was no significant relationship between other DISC1 polymorphisms (rs3738401, rs2273890, rs3738398, rs3738402, rs2492367, rs843979, rs3737597, rs4658971, rs1538979, rs1000731 and rs3738399) and SCZ. CONCLUSIONS DISC1 polymorphisms increased a risk of SCZ, especially in the Chinese population. In order to further corroborate our findings, large well-designed epidemiological studies are needed.
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Thomson PA, Duff B, Blackwood DHR, Romaniuk L, Watson A, Whalley HC, Li X, Dauvermann MR, Moorhead TWJ, Bois C, Ryan NM, Redpath H, Hall L, Morris SW, van Beek EJR, Roberts N, Porteous DJ, St Clair D, Whitcher B, Dunlop J, Brandon NJ, Hughes ZA, Hall J, McIntosh A, Lawrie SM. Balanced translocation linked to psychiatric disorder, glutamate, and cortical structure/function. NPJ SCHIZOPHRENIA 2016; 2:16024. [PMID: 27602385 PMCID: PMC4994153 DOI: 10.1038/npjschz.2016.24] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Revised: 06/30/2016] [Accepted: 07/01/2016] [Indexed: 01/01/2023]
Abstract
Rare genetic variants of large effect can help elucidate the pathophysiology of brain disorders. Here we expand the clinical and genetic analyses of a family with a (1;11)(q42;q14.3) translocation multiply affected by major psychiatric illness and test the effect of the translocation on the structure and function of prefrontal, and temporal brain regions. The translocation showed significant linkage (LOD score 6.1) with a clinical phenotype that included schizophrenia, schizoaffective disorder, bipolar disorder, and recurrent major depressive disorder. Translocation carriers showed reduced cortical thickness in the left temporal lobe, which correlated with general psychopathology and positive psychotic symptom severity. They showed reduced gyrification in prefrontal cortex, which correlated with general psychopathology severity. Translocation carriers also showed significantly increased activation in the caudate nucleus on increasing verbal working memory load, as well as statistically significant reductions in the right dorsolateral prefrontal cortex glutamate concentrations. These findings confirm that the t(1;11) translocation is associated with a significantly increased risk of major psychiatric disorder and suggest a general vulnerability to psychopathology through altered cortical structure and function, and decreased glutamate levels.
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Affiliation(s)
- Pippa A Thomson
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, University of Edinburgh, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital , Edinburgh, UK
| | - Barbara Duff
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Douglas H R Blackwood
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Liana Romaniuk
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Andrew Watson
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Heather C Whalley
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Xiang Li
- Clinical Research Imaging Centre (CRIC), The Queen's Medical Research Institute, University of Edinburgh , UK
| | - Maria R Dauvermann
- McGovern Institute for Brain Research, Massachusetts Institute of Technology , Cambridge, MA, USA
| | - T William J Moorhead
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Catherine Bois
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Niamh M Ryan
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, University of Edinburgh, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital , Edinburgh, UK
| | - Holly Redpath
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Lynsey Hall
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Stewart W Morris
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, University of Edinburgh, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital , Edinburgh, UK
| | - Edwin J R van Beek
- Clinical Research Imaging Centre (CRIC), The Queen's Medical Research Institute, University of Edinburgh , UK
| | - Neil Roberts
- Clinical Research Imaging Centre (CRIC), The Queen's Medical Research Institute, University of Edinburgh , UK
| | - David J Porteous
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, University of Edinburgh, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Western General Hospital , Edinburgh, UK
| | - David St Clair
- Institute of Medical Sciences, University of Aberdeen , Aberdeen, UK
| | - Brandon Whitcher
- Clinical & Translational Imaging Group, Pfizer Global Research , Cambridge, MA, USA
| | - John Dunlop
- Neuroscience Research Unit, Pfizer Global Research, Cambridge, MA, USA; AstraZeneca Neuroscience, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, MA, USA
| | - Nicholas J Brandon
- Neuroscience Research Unit, Pfizer Global Research, Cambridge, MA, USA; AstraZeneca Neuroscience, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, MA, USA
| | - Zoë A Hughes
- Neuroscience Research Unit, Pfizer Global Research , Cambridge, MA, USA
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building , Cardiff, UK
| | - Andrew McIntosh
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Deanery of Clinical Sciences, University of Edinburgh, Royal Edinburgh Hospital, Morningside Park , Edinburgh, UK
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Kayyal M, Movafagh A, Hashemi M, Sayad A, Emamalizadeh B, PourIran K, Kayyal M, Amirabadi MRE, Zamani M, Darvish H. Association analysis of DISC1 gene polymorphisms with Attention-Deficit Hyperactivity Disorder in Iranian population. Pak J Med Sci 2015; 31:1162-6. [PMID: 26649006 PMCID: PMC4641275 DOI: 10.12669/pjms.315.8132] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background & Objectives: Attention deficit hyperactivity disorder (ADHD) is a common heritable psychiatric disorder with a worldwide prevalence of 5%. The etiology of ADHD is still incompletely understood, but several studies, consistently indicate the strong role of genetic factors on this disorder. The aim of this study was to determine the effect of three SNPs rs11122319, rs11122330 and rs6675281 in the etiology of ADHD in an Iranian children Methods: In this research work, for the first time, we investigated the association of three SNPs (rs11122330, rs6675281 and rs11122319) in the DISC1 gene with ADHD in Iranian population. Two hundred fourthy subjects composed of 120 patients and 120 healthy controls were included and tetra-primer ARMS PCR technique was used for genotyping all selected SNPs. Results: We found differences in genotype and allele distributions of rs 6675281 polymorphism between our patients and controls. The A, T and A alleles were the more frequent alleles in rs11122319, rs6675281 and rs11122330 polymorphisms in both case and control groups respectively. The TT genotype was more frequent in control group compared to patients. (P value = 0.008, OR= 1.5837, 95% CI= 1.1012 to 2.2776). Conclusion: Our findings strengthens the role of DISC1 gene as a susceptibility locus for ADHD and indicate that rs6675281 polymorphism is a susceptibility factor for ADHD for the first time in children reported in an Iranian population in this part of the world.
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Affiliation(s)
- Matin Kayyal
- Matin Kayyal, Department of Molecular Genetics, Tehran Medical Branch, Islamic Azad University, Tehran, Iran
| | - Abolfazl Movafagh
- Abolfazl Movafagh, Dept. of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehrdad Hashemi
- Mehrdad Hashemi, Department of Molecular Genetics, Tehran Medical Branch, Islamic Azad University, Tehran, Iran
| | - Arezou Sayad
- Arezou Sayad, Dept. of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Babak Emamalizadeh
- Babak Emamalizadeh, Dept. of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Khashayar PourIran
- Khashayar pourIran, Dept. of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammadmoien Kayyal
- Mohammadmoien Kayyal, Department of Molecular Genetics, Tehran Medical Branch, Islamic Azad University, Tehran, Iran
| | - Mohammad Reza Eslami Amirabadi
- Mohammad Reza Eslami Amirabadi, Department of Psychiatry, Imam Hossein Medical Hospital, Shahid Behashti University of Medical Sciences, Tehran, Iran
| | - Mahdi Zamani
- Mahdi Zamani Department of Medical Genetics, School of Medicine, Department of Neurology, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Darvish
- Hossein Darvish, Dept. of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Variations in Disrupted-in-Schizophrenia 1 gene modulate long-term longitudinal differences in cortical thickness in patients with a first-episode of psychosis. Brain Imaging Behav 2015. [DOI: 10.1007/s11682-015-9433-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Is there an association between cortical thickness, age of onset, and duration of illness in schizophrenia? CNS Spectr 2013; 18:315-21. [PMID: 23739259 DOI: 10.1017/s1092852913000333] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Several studies have shown cortical volume loss in frontotemporal regions in schizophrenia patients, and it is known that these reductions may be associated with disease symptoms and cognitive deficits. The aim of this study was to investigate possible cortical thickness correlations in frontotemporal regions in relation to age at onset and duration of illness. METHODS One hundred forty-eight schizophrenia patients (97 males; age and SD 36.30 ± 10.06) and 87 (57 males; age and SD 36.48 ± 10.10) age-matched healthy subjects underwent a brain MRI scan. Cortical segmentation and surface statistical analysis were performed using the FreeSurfer software package. Results were corrected for multiple comparisons using the Monte Carlo method considering a cluster-corrected Type I Error of 5%. RESULTS Compared to controls, schizophrenia patients presented significant cortical thinning in the frontotemporal, parietal, and occipital cortices. No correlation between prefrontal cortex thickness and duration of illness in patients with schizophrenia or between frontotemporal cortical thickness and age at onset was found. However, a significant interaction between age and diagnosis was observed on frontal cortical thickness with patients presenting a thinner cortex than expected for age. CONCLUSION Although there was no correlation between age of onset and duration of illness with brain volume, our findings suggest that there is an accelerated cortical loss in schizophrenia, thus reinforcing the progressive processes of the disease.
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Kremen WS, Fennema-Notestine C, Eyler LT, Panizzon MS, Chen CH, Franz CE, Lyons MJ, Thompson WK, Dale AM. Genetics of brain structure: contributions from the Vietnam Era Twin Study of Aging. Am J Med Genet B Neuropsychiatr Genet 2013; 162B:751-61. [PMID: 24132907 PMCID: PMC4754776 DOI: 10.1002/ajmg.b.32162] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2012] [Accepted: 03/15/2013] [Indexed: 11/09/2022]
Abstract
Understanding the genetics of neuropsychiatric disorders requires an understanding of the genetics of brain structure and function. The Vietnam Era Twin Study of Aging (VETSA) is a longitudinal behavioral genetic study focused on cognitive and brain aging. Here, we describe basic science work carried out within the VETSA MRI study that provides meaningful contributions toward the study of neuropsychiatric disorders. VETSA produced the first comprehensive assessment of the heritability of cortical and subcortical brain structure sizes, all within the same individuals. We showed that neocortical thickness and surface area are largely genetically distinct. With continuous neocortical thickness maps, we demonstrated regional specificity of genetic influences, and that genetic factors did not conform to traditional regions of interest (ROIs). However, there was some evidence for different genetic factors accounting for different types of cortex, and for genetic relationships across cortical regions corresponding to anatomical and functional connectivity and brain maturation patterns. With continuous neocortical surface area maps, we confirmed the anterior-posterior gradient of genetic influences on cortical area patterning demonstrated in animal models. Finally, we used twin methods to create the first map of cortical ROIs based entirely on genetically informative data. We conclude that these genetically based cortical phenotypes may be more appropriate for genetic studies than traditional ROIs based on structure or function. Our results also suggest that cortical volume-the product of thickness and surface area-is a problematic phenotype for genetic studies because two independent sets of genes may be obscured. Examples supporting the validity of these conclusions are provided.
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Affiliation(s)
- William S. Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, California,Correspondence to: William S. Kremen, Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093.,
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Department of Radiology, University of California, San Diego, La Jolla, California
| | - Lisa T. Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, La Jolla, California
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California
| | - Chi-Hua Chen
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California
| | - Carol E. Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California
| | - Michael J. Lyons
- Department of Psychology, Boston University, Boston, Massachusetts
| | - Wesley K. Thompson
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Twin Research Laboratory, Center for Behavioral Genomics, University of California, San Diego, La Jolla, California
| | - Anders M. Dale
- Department of Psychiatry, University of California, San Diego, La Jolla, California,Department of Radiology, University of California, San Diego, La Jolla, California,Department of Neurosciences, University of California, San Diego, La Jolla, California
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11
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Duff BJ, Macritchie KAN, Moorhead TWJ, Lawrie SM, Blackwood DHR. Human brain imaging studies of DISC1 in schizophrenia, bipolar disorder and depression: a systematic review. Schizophr Res 2013; 147:1-13. [PMID: 23602339 DOI: 10.1016/j.schres.2013.03.015] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2012] [Revised: 03/08/2013] [Accepted: 03/15/2013] [Indexed: 02/06/2023]
Abstract
Disrupted-in-Schizophrenia 1 (DISC1) is a well researched candidate gene for schizophrenia and affective disorders with a range of functions relating to neurodevelopment. Several human brain imaging studies investigating correlations between common and rare variants in DISC1 and brain structure and function have shown conflicting results. A meta-analysis of case/control data showed no association between schizophrenia and any common SNP in DISC1. Therefore it is timely to review the literature to plan the direction of future studies. Twenty-two human brain imaging studies have examined the influence of DISC1 variants in health, schizophrenia, bipolar disorder or depression. The most studied common SNPs are Ser704Cys (rs821616) and Leu607Phe (rs6675281). Some imaging-genomic studies report effects on frontal, temporal and hippocampal structural indices in health and illness and a volumetric longitudinal study supports a putative role for these common SNPs in neurodevelopment. Callosal agenesis is described in association with rare deletions at 1q42 which include DISC1 and rare sequence variants at DISC1 itself. DISC1 interactions with translin-associated factor X (TRAX) and neuregulin have been shown to influence several regional volumes. In the first study involving neonates, a role for Ser704Cys (rs821616) has been highlighted in prenatal brain development with large clusters of reduced grey matter reported in the frontal lobes. Functional MRI studies examining associations between Ser704Cys (rs821616) and Leu607Phe (rs6675281) with prefrontal and hippocampal activation have also given inconsistent results. Prefrontal function was reported to be associated with interaction between DISC1 and CITRON (CIT) in health. Preliminary magnetic resonance spectroscopy and diffusion tensor data support the influence of Ser704Cys (rs821616) status on grey and white matter integrity. The glutamate system remains uninvestigated. Associations between rare sequence variants and structural changes in brain regions including the corpus callosum and effects of gene-gene interactions on brain structure and function are promising areas for future study.
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Affiliation(s)
- Barbara J Duff
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom.
| | - Karine A N Macritchie
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - Thomas W J Moorhead
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - Stephen M Lawrie
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - Douglas H R Blackwood
- University of Edinburgh, Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
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Bergmann O, Haukvik UK, Brown AA, Rimol LM, Hartberg CB, Athanasiu L, Melle I, Djurovic S, Andreassen OA, Dale AM, Agartz I. ZNF804A and cortical thickness in schizophrenia and bipolar disorder. Psychiatry Res 2013; 212:154-7. [PMID: 23562677 DOI: 10.1016/j.pscychresns.2013.01.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2012] [Revised: 11/15/2012] [Accepted: 01/17/2013] [Indexed: 02/02/2023]
Abstract
ZNF804A SNP rs1344706 confers genome-wide risk for schizophrenia and bipolar disorder. Both disorders affect cortical thickness. To determine if single nucleotide polymorphisms (SNPs) across ZNF804A are associated with cortical thinning, we investigated 63 SNPs (including rs1344706) in 365 psychosis patients and healthy controls. Results show no significant associations.
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Affiliation(s)
- Orjan Bergmann
- KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
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Thomson PA, Malavasi ELV, Grünewald E, Soares DC, Borkowska M, Millar JK. DISC1 genetics, biology and psychiatric illness. FRONTIERS IN BIOLOGY 2013; 8:1-31. [PMID: 23550053 PMCID: PMC3580875 DOI: 10.1007/s11515-012-1254-7] [Citation(s) in RCA: 83] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Psychiatric disorders are highly heritable, and in many individuals likely arise from the combined effects of genes and the environment. A substantial body of evidence points towards DISC1 being one of the genes that influence risk of schizophrenia, bipolar disorder and depression, and functional studies of DISC1 consequently have the potential to reveal much about the pathways that lead to major mental illness. Here, we review the evidence that DISC1 influences disease risk through effects upon multiple critical pathways in the developing and adult brain.
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Affiliation(s)
- Pippa A Thomson
- The Centre for Molecular Medicine at the Medical Research Council Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, UK
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Narayan S, Nakajima K, Sawa A. DISC1: a key lead in studying cortical development and associated brain disorders. Neuroscientist 2013; 19:451-64. [PMID: 23300216 DOI: 10.1177/1073858412470168] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
For the past decade, DISC1 has been studied as a promising lead to understand the biology underlying major mental illnesses, such as schizophrenia. Consequently, many review articles on DISC1 have been published. In this article, rather than repeating comprehensive overviews of research articles, we will introduce the utility of DISC1 in the study of cortical development in association with a wide range of developmental brain disorders. Cortical development involves cell autonomous and cell nonautonomous mechanisms as well as host responses to environmental factors, all of which involve DISC1 function. Thus, we will discuss the significance of DISC1 in forming an overall understanding of multiple mechanisms that orchestrate corticogenesis and can serve as therapeutic targets in diseases caused by abnormal cortical development.
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Affiliation(s)
- Soumya Narayan
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
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