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Hegarty CE, Ianni AM, Kohn PD, Kolachana B, Gregory M, Masdeu JC, Eisenberg DP, Berman KF. Polymorphism in the ZNF804A Gene and Variation in D 1 and D 2/D 3 Dopamine Receptor Availability in the Healthy Human Brain: A Dual Positron Emission Tomography Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:121-128. [PMID: 33712377 PMCID: PMC10501410 DOI: 10.1016/j.bpsc.2020.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 12/03/2020] [Accepted: 12/15/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND The rs1344706 single nucleotide polymorphism in the ZNF804A gene has been associated with risk for psychosis in multiple genome-wide association studies, yet mechanisms underlying this association are not known. Given preclinical work suggesting an impact of ZNF804A on dopamine receptor gene transcription and clinical studies establishing dopaminergic dysfunction in patients with schizophrenia, we hypothesized that the ZNF804A risk single nucleotide polymorphism would be associated with variation in dopamine receptor availability in the human brain. METHODS In this study, 72 healthy individuals genotyped for rs1344706 completed both [18F]fallypride and [11C]NNC-112 positron emission tomography scans to measure D2/D3 and D1 receptor availability, respectively. Genetic effects on estimates of binding potential for each ligand were tested first with canonical subject-specific striatal regions of interest analyses, followed by exploratory whole-brain voxelwise analyses to test for more localized striatal signals and for extrastriatal effects. RESULTS Region of interest analyses revealed significantly less D2/D3 receptor availability in risk-allele homozygotes (TT) compared with non-risk allele carriers (G-allele carrier group: TG and GG) in the associative striatum and sensorimotor striatum, but no significant differences in striatal D1 receptor availability. CONCLUSIONS These data suggest that ZNF804A genotype may be meaningfully linked to dopaminergic function in the human brain. The results also may provide information to guide future studies of ZNF804A-related mechanisms of schizophrenia risk.
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Affiliation(s)
- Catherine E Hegarty
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland; Neuroscience Graduate Program, Brown University, Providence, Rhode Island
| | - Angela M Ianni
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Philip D Kohn
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Bhaskar Kolachana
- Human Brain Collection Core, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Michael Gregory
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Joseph C Masdeu
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Daniel P Eisenberg
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Karen F Berman
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland.
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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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Bartsch U, Corbin LJ, Hellmich C, Taylor M, Easey KE, Durant C, Marston HM, Timpson NJ, Jones MW. Schizophrenia-associated variation at ZNF804A correlates with altered experience-dependent dynamics of sleep slow waves and spindles in healthy young adults. Sleep 2021; 44:zsab191. [PMID: 34329479 PMCID: PMC8664578 DOI: 10.1093/sleep/zsab191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 07/06/2021] [Indexed: 12/12/2022] Open
Abstract
The rs1344706 polymorphism in ZNF804A is robustly associated with schizophrenia and schizophrenia is, in turn, associated with abnormal non-rapid eye movement (NREM) sleep neurophysiology. To examine whether rs1344706 is associated with intermediate neurophysiological traits in the absence of disease, we assessed the relationship between genotype, sleep neurophysiology, and sleep-dependent memory consolidation in healthy participants. We recruited healthy adult males with no history of psychiatric disorder from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort. Participants were homozygous for either the schizophrenia-associated 'A' allele (N = 22) or the alternative 'C' allele (N = 18) at rs1344706. Actigraphy, polysomnography (PSG) and a motor sequence task (MST) were used to characterize daily activity patterns, sleep neurophysiology and sleep-dependent memory consolidation. Average MST learning and sleep-dependent performance improvements were similar across genotype groups, albeit more variable in the AA group. During sleep after learning, CC participants showed increased slow-wave (SW) and spindle amplitudes, plus augmented coupling of SW activity across recording electrodes. SW and spindles in those with the AA genotype were insensitive to learning, whilst SW coherence decreased following MST training. Accordingly, NREM neurophysiology robustly predicted the degree of overnight motor memory consolidation in CC carriers, but not in AA carriers. We describe evidence that rs1344706 polymorphism in ZNF804A is associated with changes in the coordinated neural network activity that supports offline information processing during sleep in a healthy population. These findings highlight the utility of sleep neurophysiology in mapping the impacts of schizophrenia-associated common genetic variants on neural circuit oscillations and function.
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Affiliation(s)
- Ullrich Bartsch
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK
- Translational Neuroscience, Eli Lilly & Co Ltd UK, Erl Wood Manor, Windlesham, UK
- UK DRI Health Care & Technology at Imperial College London and the University of Surrey, Surrey Sleep Research Centre, University of Surrey, Clinical Research Building, Egerton Road, Guildford, Surrey, UK
| | - Laura J Corbin
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Charlotte Hellmich
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK
| | - Michelle Taylor
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
| | - Kayleigh E Easey
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- UK Centre for Tobacco and Alcohol Studies, School of Psychological Science, University of Bristol, Bristol, UK
| | - Claire Durant
- Clinical Research and Imaging Centre (CRIC), University of Bristol, Bristol, UK
| | - Hugh M Marston
- Translational Neuroscience, Eli Lilly & Co Ltd UK, Erl Wood Manor, Windlesham, UK
- Böhringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew W Jones
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK
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A Common CDH13 Variant Is Associated with Low Agreeableness and Neural Responses to Working Memory Tasks in ADHD. Genes (Basel) 2021; 12:genes12091356. [PMID: 34573337 PMCID: PMC8471784 DOI: 10.3390/genes12091356] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 08/26/2021] [Accepted: 08/26/2021] [Indexed: 11/17/2022] Open
Abstract
The cell—cell signaling gene CDH13 is associated with a wide spectrum of neuropsychiatric disorders, including attention-deficit/hyperactivity disorder (ADHD), autism, and major depression. CDH13 regulates axonal outgrowth and synapse formation, substantiating its relevance for neurodevelopmental processes. Several studies support the influence of CDH13 on personality traits, behavior, and executive functions. However, evidence for functional effects of common gene variation in the CDH13 gene in humans is sparse. Therefore, we tested for association of a functional intronic CDH13 SNP rs2199430 with ADHD in a sample of 998 adult patients and 884 healthy controls. The Big Five personality traits were assessed by the NEO-PI-R questionnaire. Assuming that altered neural correlates of working memory and cognitive response inhibition show genotype-dependent alterations, task performance and electroencephalographic event-related potentials were measured by n-back and continuous performance (Go/NoGo) tasks. The rs2199430 genotype was not associated with adult ADHD on the categorical diagnosis level. However, rs2199430 was significantly associated with agreeableness, with minor G allele homozygotes scoring lower than A allele carriers. Whereas task performance was not affected by genotype, a significant heterosis effect limited to the ADHD group was identified for the n-back task. Heterozygotes (AG) exhibited significantly higher N200 amplitudes during both the 1-back and 2-back condition in the central electrode position Cz. Consequently, the common genetic variation of CDH13 is associated with personality traits and impacts neural processing during working memory tasks. Thus, CDH13 might contribute to symptomatic core dysfunctions of social and cognitive impairment in ADHD.
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Zhou J, Bao Q, Liang S, Guo H, Meng X, Zhang G, Li P. rs1344706 polymorphism of zinc finger protein 804a (ZNF804a) gene related to the integrity of white matter fiber bundle in schizophrenics. Exp Ther Med 2021; 22:778. [PMID: 34055077 PMCID: PMC8145689 DOI: 10.3892/etm.2021.10210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 12/07/2020] [Indexed: 11/30/2022] Open
Abstract
Genetic factors play an important role in the pathogenesis of schizophrenia (SZ), and the zinc finger protein 804a (ZNF804a) gene has been considered to be a risk gene for schizophrenia. In the present study, the correlation between rs1344706 polymorphism of ZNF804a gene and the integrity of white matter in schizophrenic cases was explored. A total of 60 SZ patients and 100 healthy controls (HC) were included to undergo head MRI. According to the genotyping of rs1344706 in ZNF804a, the subjects in each group were divided into a normal allele and risk allele-carrying group. The imaging data were preprocessed by PANDA software, and thefractional anisotropy (FA) of each subject was calculated. With SPM8 software, age and years of education were considered as covariates, and diagnosis as well as genotype (AA, GG/AG) were considered as intergroup factors. Four groups of FA images were analyzed by two-factor analysis of variance. The FA value of the right posterior radiocrown in the patient group was lower than that in the control group, and the difference was statistically significant. The FA value of the right lower frontal occipital tract and the right upper radiocrown in the G allele carrier group was lower than that in the A allele homozygous group. There was detection of an interaction between the FA value of the splenium of corpus callosum, the body part of the corpus callosum and the right cingulate tract. In the present study, it was demonstrated that the rs1344706 GG/AG genotype of the ZNF804a gene locus in SZ patients suffered from abnormal structure in a specific region of the brain. This finding indicated that the rs1344706 single nucleotide polymorphism of the ZNF804a gene may affect the integrity of the white matter of the brain in SZ patients and may be involved in the pathophysiological mechanism of SZ.
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Affiliation(s)
- Jian Zhou
- Department of MRI, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang 161000, P.R. China
| | - Quan Bao
- Department of MRI, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China
| | - Shuang Liang
- Department of Radiology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157000, P.R. China
| | - Hong Guo
- Department of Radiology, The First Hospital of Qiqihar, Qiqihar, Heilongjiang 161000, P.R. China
| | - Xin Meng
- Department of MRI, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang 161000, P.R. China
| | - Guangfeng Zhang
- Department of MRI, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang 161000, P.R. China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161000, P.R. China
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Yang L, Xu F, He Y, Li Y, Chen Z, Wang S. Association Between ZNF804A Gene rs1344706 Polymorphism and Brain Functions in Healthy Individuals: A Systematic Review and Voxel-Based Meta-Analysis. Neuropsychiatr Dis Treat 2021; 17:2925-2935. [PMID: 34548792 PMCID: PMC8449690 DOI: 10.2147/ndt.s322114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/02/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE Zinc finger protein 804A (ZNF804A) protein participates in embryonic neural repair and development. The single nucleotide polymorphism rs1344706 in ZNF804A gene is closely related to functional abnormalities of the human brain. However, these results are inconsistent. This association was verified by meta-analysis in this study. METHODS Fifteen studies on functional magnetic resonance imaging involving 1710 healthy individuals were included in the systematic review and meta-analysis used by Anisotropic Effect-Size Signed Differential Mapping software. RESULTS Functional connectivity of the right dorsolateral prefrontal cortex (rDLPFC)-left hippocampus in the rs1344706 risk allele carrier was significantly increased (z = 2.066, p < 0.001), while those in the rDLPFC-left middle frontal gyrus (z = -1.420, p < 0.001) and rDLPFC-right middle frontal gyrus (z = -1.298, p < 0.001) were significantly decreased. Neural activity of the left anterior cingulate gyrus in the rs1344706 risk allele carrier was significantly decreased (z = -2.525, p < 0.001). Sensitivity analysis was almost stable, and no publication bias was found. CONCLUSION The changes in brain function have a clear correlation with ZNF804A gene in healthy individuals, which indicate the contribution of genetic variants on brain dysfunction. REGISTRATION NUMBER This meta-analysis is registered in PROSPERO (No. CRD42016051331).
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Affiliation(s)
- Liqiong Yang
- Department of Pharmacy, Chengdu Medical College, Chengdu, 610500, People's Republic of China
| | - Fan Xu
- Department of Public Health, Chengdu Medical College, Chengdu, 610500, People's Republic of China
| | - Yi He
- Department of Medicine, National Engineering and Research Center for Natural Medicines, Chengdu, 610400, People's Republic of China
| | - Yanzhang Li
- Department of Psychology, Chengdu Medical College, Chengdu, 610500, People's Republic of China
| | - Zi Chen
- Department of Psychology, Chengdu Medical College, Chengdu, 610500, People's Republic of China
| | - Shuai Wang
- Department of Psychology, Chengdu Medical College, Chengdu, 610500, People's Republic of China
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Nedoluzhko A, Gruzdeva N, Sharko F, Rastorguev S, Zakharova N, Kostyuk G, Ushakov V. The Biomarker and Therapeutic Potential of Circular Rnas in Schizophrenia. Cells 2020; 9:E2238. [PMID: 33020462 PMCID: PMC7601372 DOI: 10.3390/cells9102238] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/29/2020] [Accepted: 10/01/2020] [Indexed: 12/14/2022] Open
Abstract
Circular RNAs (circRNAs) are endogenous, single-stranded, most frequently non-coding RNA (ncRNA) molecules that play a significant role in gene expression regulation. Circular RNAs can affect microRNA functionality, interact with RNA-binding proteins (RBPs), translate proteins by themselves, and directly or indirectly modulate gene expression during different cellular processes. The affected expression of circRNAs, as well as their targets, can trigger a cascade of events in the genetic regulatory network causing pathological conditions. Recent studies have shown that altered circular RNA expression patterns could be used as biomarkers in psychiatric diseases, including schizophrenia (SZ); moreover, circular RNAs together with other cell molecules could provide new insight into mechanisms of this disorder. In this review, we focus on the role of circular RNAs in the pathogenesis of SZ and analyze their biomarker and therapeutic potential in this disorder.
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Affiliation(s)
- Artem Nedoluzhko
- Faculty of Biosciences and Aquaculture, Nord University, PB 1490. 8049 Bodø, Norway
- Mental-Health Clinic No. 1 Named after N.A. Alexeev, Moscow Healthcare Department, Zagorodnoye Highway, 2, 115191 Moscow, Russia; (N.Z.); (G.K.); (V.U.)
| | - Natalia Gruzdeva
- National Research Center “Kurchatov Institute”, 1st Akademika Kurchatova Square, 123182 Moscow, Russia; (N.G.); (F.S.); (S.R.)
| | - Fedor Sharko
- National Research Center “Kurchatov Institute”, 1st Akademika Kurchatova Square, 123182 Moscow, Russia; (N.G.); (F.S.); (S.R.)
- Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky prospect 33/2, 119071 Moscow, Russia
| | - Sergey Rastorguev
- National Research Center “Kurchatov Institute”, 1st Akademika Kurchatova Square, 123182 Moscow, Russia; (N.G.); (F.S.); (S.R.)
| | - Natalia Zakharova
- Mental-Health Clinic No. 1 Named after N.A. Alexeev, Moscow Healthcare Department, Zagorodnoye Highway, 2, 115191 Moscow, Russia; (N.Z.); (G.K.); (V.U.)
| | - Georgy Kostyuk
- Mental-Health Clinic No. 1 Named after N.A. Alexeev, Moscow Healthcare Department, Zagorodnoye Highway, 2, 115191 Moscow, Russia; (N.Z.); (G.K.); (V.U.)
| | - Vadim Ushakov
- Mental-Health Clinic No. 1 Named after N.A. Alexeev, Moscow Healthcare Department, Zagorodnoye Highway, 2, 115191 Moscow, Russia; (N.Z.); (G.K.); (V.U.)
- Institute for Advanced Brain Studies, Lomonosov Moscow State University, Leninskiye Gory, 119899 Moscow, Russia
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Calabrò M, Mandelli L, Crisafulli C, Nicola MD, Colombo R, Janiri L, Lee SJ, Jun TY, Wang SM, Masand PS, Patkar AA, Han C, Pae CU, Serretti A. ZNF804A Gene Variants Have a Cross-diagnostic Influence on Psychosis and Treatment Improvement in Mood Disorders. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2020; 18:231-240. [PMID: 32329304 PMCID: PMC7242106 DOI: 10.9758/cpn.2020.18.2.231] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 11/21/2018] [Indexed: 12/17/2022]
Abstract
Objective Genetic variations in the gene encoding zinc finger protein 804A gene (ZNF804A) have been associated with major depression and bipolar disorder. In this work we focused on the potential influence of ZNF804A variations on the risk of developing specific sub-phenotypes as well as the individual response to available treatments. Methods We used two samples of different ethnic origin: a Korean sample, composed by 242 patients diagnosed with major depression and 132 patients diagnosed with bipolar disorder and 326 healthy controls; an Italian sample composed 151 major depression subjects, 189 bipolar disorder subjects and 38 outpatients diagnosed for a primary anxiety disorder. Results Our analyses reported an association of rs1344706 with psychotic phenotype in the cross-diagnostic pooled sample (geno p = 4.15 × 10−4, allelic p = 1.06 × 10−4). In the cross-diagnosis Italian sample but not in the Korean one, rs7597593 was involved with depressive symptoms improvement after treatment (geno p = 0.025, allelic p = 0.007). Conclusion The present study evidenced the role of ZNF804A alterations in symptoms improvement after treatment. Both manic and depressive symptoms seem to be modulated by ZNF804A, though the latter was observed in the bipolar pooled sample only. The role of this factor is likely related to synaptic development and maintenance; however, further analyses will be needed to better understand the molecular mechanics involved with ZNF804A.
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Affiliation(s)
| | - Laura Mandelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Concetta Crisafulli
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Marco Di Nicola
- Fondazione Policlinico Universitario "A. Gemelli" - IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Roberto Colombo
- Fondazione Policlinico Universitario "A. Gemelli" - IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Luigi Janiri
- Fondazione Policlinico Universitario "A. Gemelli" - IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Soo-Jung Lee
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Tae-Youn Jun
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sheng-Min Wang
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | | | - Ashwin A Patkar
- Department of Psychiatry and Behavioural Sciences, Duke University Medical Center, Durham, NC, USA
| | - Changsu Han
- Department of Psychiatry, College of Medicine, Korea University, Seoul, Korea
| | - Chi-Un Pae
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Department of Psychiatry and Behavioural Sciences, Duke University Medical Center, Durham, NC, USA.,Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
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Gao S, Ming Y, Wang J, Gu Y, Ni S, Lu S, Zhang R, Sun J, Zhang N, Xu X. Enhanced Prefrontal Regional Homogeneity and Its Correlations With Cognitive Dysfunction/Psychopathology in Patients With First-Diagnosed and Drug-Naive Schizophrenia. Front Psychiatry 2020; 11:580570. [PMID: 33192722 PMCID: PMC7649771 DOI: 10.3389/fpsyt.2020.580570] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 09/14/2020] [Indexed: 01/10/2023] Open
Abstract
Background: Schizophrenia, regarded as a neurodevelopmental disorder, is characterized by positive symptoms, negative symptoms, and cognitive dysfunction. Investigating the spontaneous brain activity in patients with schizophrenia can help us understand the underlying pathophysiologic mechanism of schizophrenia. However, results concerning abnormal neural activities and their correlations with cognitive dysfunction/psychopathology of patients with schizophrenia were inconsistent. Methods: We recruited 57 first-diagnosed and drug-naive patients with schizophrenia and 50 matched healthy controls underwent magnetic resonance imaging. The Positive and Negative Syndrome Scale (PANSS) and the MATRICS Consensus Cognitive Battery were used to assess the psychopathology/cognitive dysfunction. Regional homogeneity (ReHo) was used to explore neural activities. Correlation analyses were calculated between abnormal ReHo values and PANSS scores/standardized cognitive scores. Lastly, support vector machine analyses were conducted to evaluate the accuracy of abnormal ReHo values in distinguishing patients with schizophrenia from healthy controls. Results: Patients with schizophrenia showed cognitive dysfunction, and increased ReHo values in the right gyrus rectus, right inferior frontal gyrus/insula and left inferior frontal gyrus/insula compared with those of healthy controls. The ReHo values in the right inferior frontal gyrus/insula were positively correlated with negative symptom scores and negatively correlated with Hopkins verbal learning test-revised/verbal learning. Our results showed that the combination of increased ReHo values in the left inferior frontal gyrus/insula and right gyrus rectus had 78.5% (84/107) accuracy, 85.96% (49/57) sensitivity, and 70.00% specificity, which were higher than other combinations. Conclusions: Hyperactivities were primarily located in the prefrontal regions, and increased ReHo values in the right inferior frontal gyrus/insula might reflect the severity of negative symptoms and verbal learning abilities. The combined increases of ReHo values in these regions might be an underlying biomarker in differentiating patients with schizophrenia from healthy controls.
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Affiliation(s)
- Shuzhan Gao
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yidan Ming
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Jiayin Wang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yuan Gu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Sulin Ni
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Shuiping Lu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Rongrong Zhang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Jing Sun
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Ning Zhang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,Department of Psychiatry, Nanjing Brain Hospital, Medical School, Nanjing University, Nanjing, China
| | - Xijia Xu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,Department of Psychiatry, Nanjing Brain Hospital, Medical School, Nanjing University, Nanjing, China
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10
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Meller T, Schmitt S, Stein F, Brosch K, Mosebach J, Yüksel D, Zaremba D, Grotegerd D, Dohm K, Meinert S, Förster K, Redlich R, Opel N, Repple J, Hahn T, Jansen A, Andlauer TFM, Forstner AJ, Heilmann-Heimbach S, Streit F, Witt SH, Rietschel M, Müller-Myhsok B, Nöthen MM, Dannlowski U, Krug A, Kircher T, Nenadić I. Associations of schizophrenia risk genes ZNF804A and CACNA1C with schizotypy and modulation of attention in healthy subjects. Schizophr Res 2019; 208:67-75. [PMID: 31076262 DOI: 10.1016/j.schres.2019.04.018] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Revised: 03/05/2019] [Accepted: 04/20/2019] [Indexed: 12/30/2022]
Abstract
Schizotypy is a multidimensional risk phenotype distributed in the general population, constituting of subclinical, psychotic-like symptoms. It is associated with psychosis proneness, and several risk genes for psychosis are associated with schizotypy in non-clinical populations. Schizotypy might also modulate cognitive abilities as it is associated with attentional deficits in healthy subjects. In this study, we tested the hypothesis that established genetic risk variants ZNF804A rs1344706 and CACNA1C rs1006737 are associated with psychometric schizotypy and that schizotypy mediates their effect on attention or vice versa. In 615 healthy subjects from the FOR2107 cohort study, we analysed the genetic risk variants ZNF804A rs1344706 and CACNA1C rs1006737, psychometric schizotypy (schizotypal personality questionnaire-brief SPQB), and a neuropsychological measure of sustained and selective attention (d2 test). ZNF804A rs1344706 C (non-risk) alleles were significantly associated with higher SPQ-B Cognitive-Perceptual subscores in women and with attention deficits in both sexes. This schizotypy dimension also mediated the effect of ZNF804A on attention in women, but not in men. CACNA1C rs1006737-A showed a significant sex-modulated negative association with Interpersonal schizotypy only in men, and no effect on attention. Our multivariate model demonstrates differential genetic contributions of two psychosis risk genes to dimensions of schizotypy and, partly, to attention. This supports a model of shared genetic influence between schizotypy and cognitive functions impaired in schizophrenia.
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Affiliation(s)
- Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany.
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Johannes Mosebach
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Dilara Yüksel
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; SRI International, Center for Health Sciences, Bioscience Division, 333 Ravenswood Avenue, 94025 Menlo Park, CA, USA
| | - Dario Zaremba
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Dominik Grotegerd
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Dohm
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Susanne Meinert
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Förster
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Jonathan Repple
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Tim Hahn
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany; Core-Facility BrainImaging, Faculty of Medicine, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Till F M Andlauer
- Max-Planck-Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany; Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675 Munich, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Sigmund-Freud-Straße 25, 53127 Bonn, Germany; Institute of Human Genetics, Philipps-Universität Marburg, Baldingerstraße, 35033 Marburg, Germany; Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031 Basel, Switzerland; Institute of Medical Genetics and Pathology, University Hospital Basel, Schönbeinstr. 40, 4056 Basel, Switzerland
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Sigmund-Freud-Straße 25, 53127 Bonn, Germany
| | - Fabian Streit
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Stephanie H Witt
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Marcella Rietschel
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Bertram Müller-Myhsok
- Max-Planck-Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany; Institute of Translational Medicine, University of Liverpool, Crown Street, Liverpool L69 3BX, UK
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Sigmund-Freud-Straße 25, 53127 Bonn, Germany
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
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11
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Zhang L, Qin Y, Gong X, Peng R, Cai C, Zheng Y, Du Y, Wang H. A promoter variant in ZNF804A decreasing its expression increases the risk of autism spectrum disorder in the Han Chinese population. Transl Psychiatry 2019; 9:31. [PMID: 30670685 PMCID: PMC6342935 DOI: 10.1038/s41398-019-0369-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 12/10/2018] [Accepted: 01/02/2019] [Indexed: 12/15/2022] Open
Abstract
Synaptic pathology may be one of the cellular substrates underlying autism spectrum disorder (ASD). ZNF804A is a transcription factor that can affect or regulate the expression of many candidate genes involved in ASD. It also localizes at synapses and regulates neuronal and synaptic morphology. So far, few reports have addressed possible associations between ZNF804A polymorphisms and ASD. This study aimed to investigate whether ZNF804A genetic variants contribute to ASD susceptibility and its possible pathological role in the disorder. We analyzed the relationship of two polymorphisms (rs10497655 and rs34714481) in ZNF804A promoter region with ASD in 854 cases versus 926 controls. The functional analyses of rs10497655 were then performed using real-time quantitative polymerase chain reaction, electrophoretic mobility shift assays, chromatin immunoprecipitation and dual-luciferase assays. The variant rs10497655 was significantly associated with ASD (P = 0.007851), which had a significant effect on ZNF804A expression, with the T risk allele homozygotes related with reduced ZNF804A expression in human fetal brains. HSF2 acted as a suppressor by down-regulating ZNF804A expression and had a stronger binding affinity for the T allele of rs10497655 than for the C allele. This was the first experiment to elucidate the process in which a disease-associated SNP affects the level of ZNF804A expression by binding with the upstream regulation factor HSF2. This result indicates that the rs10497655 allelic expression difference of ZNF804A during the critical period of brain development may have an effect on postnatal phenotypes of ASD. It reveals new roles of ZNF804A polymorphisms in the pathogenesis of psychiatric disorders.
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Affiliation(s)
- Linna Zhang
- Department of Child & Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Yue Qin
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering at School of Life Sciences, Institute of Reproduction and Development, Fudan University, Shanghai, 200011, China
- Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Xiaohong Gong
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering at School of Life Sciences, Institute of Reproduction and Development, Fudan University, Shanghai, 200011, China
- Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Rui Peng
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering at School of Life Sciences, Institute of Reproduction and Development, Fudan University, Shanghai, 200011, China
- Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Chunquan Cai
- Department of Neurosurgery, Tianjin Children's Hospital, Tianjin, 300134, China
| | - Yufang Zheng
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering at School of Life Sciences, Institute of Reproduction and Development, Fudan University, Shanghai, 200011, China
| | - Yasong Du
- Department of Child & Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
| | - Hongyan Wang
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering at School of Life Sciences, Institute of Reproduction and Development, Fudan University, Shanghai, 200011, China.
- Key Laboratory of Reproduction Regulation of NPFPC, Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, 200032, China.
- Children's Hospital of Fudan University, Shanghai, 201102, China.
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12
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Wang S, He Y, Chen Z, Li Y, Zhao J, Lyu L. Pleiotropic action of genetic variation in ZNF804A on brain structure: a meta-analysis of magnetic resonance imaging studies. Neuropsychiatr Dis Treat 2019; 15:721-729. [PMID: 30962687 PMCID: PMC6432899 DOI: 10.2147/ndt.s174728] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE The zinc finger protein 804A (ZNF804A) gene encodes the protein 804A containing the C2H2 zinc finger structure, which plays an important role in embryonic nerve development and repair. Previous studies have shown a significant association between the ZNF804A genetic variation polymorphism rs1344706 and the risk of schizophrenia and brain structure abnormalities. However, the findings are inconsistent. MATERIALS AND METHODS Seventeen studies on structural magnetic resonance imaging (sMRI), with 1,031 schizophrenia patients and 3,416 healthy controls, were included in the meta-analysis. These analyses were performed using Anisotropic Effect-Size Signed Differential Mapping (AES-SDM) software and Comprehensive Meta-Analysis (CMA) software. RESULTS rs1344706 risk allele carriers of schizophrenia had increased gray matter in the brain regions including frontal lobe, temporal lobe, and other brain regions, but the carriers of healthy individuals had decreased gray matter and white matter integrity in the frontal lobe, central network, and other brain regions. The results of sensitivity analysis are stable, but publication bias exists in a few analyses of indexes. CONCLUSION Abnormalities of brain structure have a strong relationship with ZNF804A gene rs1344706 polymorphism, but the association may be different in healthy individuals and those with mental disorders.
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Affiliation(s)
- Shuai Wang
- Department of Psychology, Chengdu Medical College, Chengdu, People's Republic of China, .,Mental Health Institute of the Second Xiangya Hospital, Central South University, National Clinical Research Center on Mental Health Disorders, National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, People's Republic of China,
| | - Yi He
- Medical Group, Department of Academic Popularization, DIAO Group, Chengdu, People's Republic of China
| | - Zi Chen
- Department of Psychology, Chengdu Medical College, Chengdu, People's Republic of China,
| | - Yanzhang Li
- Department of Psychology, Chengdu Medical College, Chengdu, People's Republic of China,
| | - Jingping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, National Clinical Research Center on Mental Health Disorders, National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, People's Republic of China,
| | - Luxian Lyu
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, People's Republic of China
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13
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Jiang W, King TZ, Turner JA. Imaging Genetics Towards a Refined Diagnosis of Schizophrenia. Front Psychiatry 2019; 10:494. [PMID: 31354550 PMCID: PMC6639711 DOI: 10.3389/fpsyt.2019.00494] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 06/24/2019] [Indexed: 01/31/2023] Open
Abstract
Current diagnoses of schizophrenia and related psychiatric disorders are classified by phenomenological principles and clinical descriptions while ruling out other symptoms and conditions. Specific biomarkers are needed to assist the current diagnostic system. However, complicated gene and environment interactions induce great disease heterogeneity. This unclear etiology and heterogeneity raise difficulties in distinguishing schizophrenia-related effects. Simultaneously, the overlap in symptoms, genetic variations, and brain alterations in schizophrenia and related psychiatric disorders raises similar difficulties in determining disease-specific effects. Imaging genetics is a unique methodology to assess the impact of genetic factors on both brain structure and function. More importantly, imaging genetics builds a bridge to understand the behavioral and clinical implications of genetics and neuroimaging. By characterizing and quantifying the brain measures affected in psychiatric disorders, imaging genetics is contributing to identifying potential biomarkers for schizophrenia and related disorders. To date, candidate gene analysis, genome-wide association studies, polygenetic risk score analysis, and large-scale collaborative studies have made contributions to the understanding of schizophrenia with the potential to serve as biomarkers. Despite limitations, imaging genetics remains promising as more aggregative, clustering methods and imaging genetics-compatible clinical assessments are employed in future studies. We review imaging genetics' contribution to our understanding of the heterogeneity within schizophrenia and the commonalities across schizophrenia and other diagnostic borders, and we will discuss whether imaging genetics is ready to form its own diagnostic system.
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Affiliation(s)
- Wenhao Jiang
- Department of Psychology and the Neuroscience Institute, Georgia State University, Atlanta, GA, United States
| | - Tricia Z King
- Department of Psychology and the Neuroscience Institute, Georgia State University, Atlanta, GA, United States
| | - Jessica A Turner
- Department of Psychology and the Neuroscience Institute, Georgia State University, Atlanta, GA, United States.,Mind Research Network, Albuquerque, NM, United States
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14
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Alfimova MV, Kondratiev NV, Golimbet VE. [Results and promises of genetics of cognitive impairment in schizophrenia: molecular-genetic approaches]. Zh Nevrol Psikhiatr Im S S Korsakova 2018. [PMID: 28635752 DOI: 10.17116/jnevro2016116111137-144] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
This review highlights the basic paradigms and directions of molecular genetic studies of cognitive deficits in schizophrenia. Along with the traditional approach based on functional candidate genes, it covers genome-wide association studies (GWAS) for cognition in general population and schizophrenic patients, attempts to integrate GWAS results in polygenic profiles that can be used in personalized care of schizophrenic patients, and a search for biological pathways implicated in the development of cognitive impairments with bioinformatics methods. However, despite significant advances in understanding the genetic basis of the disease and a rapidly growing amount of data on genes associated with cognitive functions, most of the variability of cognitive impairments in patients remains unexplained. The data on the functional complexity of the genome accumulated in the fields of molecular biology and genetics underscore the importance of studying epigenetic mechanisms of cognitive deficits in schizophrenia.
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15
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Janouschek H, Eickhoff CR, Mühleisen TW, Eickhoff SB, Nickl-Jockschat T. Using coordinate-based meta-analyses to explore structural imaging genetics. Brain Struct Funct 2018; 223:3045-3061. [PMID: 29730826 DOI: 10.1007/s00429-018-1670-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 04/19/2018] [Indexed: 12/29/2022]
Abstract
Imaging genetics has become a highly popular approach in the field of schizophrenia research. A frequently reported finding is that effects from common genetic variation are associated with a schizophrenia-related structural endophenotype. Genetic contributions to a structural endophenotype may be easier to delineate, when referring to biological rather than diagnostic criteria. We used coordinate-based meta-analyses, namely the anatomical likelihood estimation (ALE) algorithm on 30 schizophrenia-related imaging genetics studies, representing 44 single-nucleotide polymorphisms at 26 gene loci investigated in 4682 subjects. To test whether analyses based on biological information would improve the convergence of results, gene ontology (GO) terms were used to group the findings from the published studies. We did not find any significant results for the main contrast. However, our analysis enrolling studies on genotype × diagnosis interaction yielded two clusters in the left temporal lobe and the medial orbitofrontal cortex. All other subanalyses did not yield any significant results. To gain insight into possible biological relationships between the genes implicated by these clusters, we mapped five of them to GO terms of the category "biological process" (AKT1, CNNM2, DISC1, DTNBP1, VAV3), then five to "cellular component" terms (AKT1, CNNM2, DISC1, DTNBP1, VAV3), and three to "molecular function" terms (AKT1, VAV3, ZNF804A). A subsequent cluster analysis identified representative, non-redundant subsets of semantically similar terms that aided a further interpretation. We regard this approach as a new option to systematically explore the richness of the literature in imaging genetics.
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Affiliation(s)
- Hildegard Janouschek
- Department of Neurology, RWTH Aachen University, Aachen, Germany.,Department of Psychiatry, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Claudia R Eickhoff
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.,Institute of Neuroscience and Medicine (Functional Architecture of the Brain; INM-1), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Thomas W Mühleisen
- Institute of Neuroscience und Medicine (INM-1), Research Centre Jülich, Jülich, Germany.,Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Thomas Nickl-Jockschat
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany. .,Jülich-Aachen Research Alliance Brain, Jülich/Aachen, Germany. .,Department of Psychiatry, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
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16
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Blokland GAM, del Re EC, Mesholam-Gately RI, Jovicich J, Trampush JW, Keshavan MS, DeLisi LE, Walters JTR, Turner JA, Malhotra AK, Lencz T, Shenton ME, Voineskos AN, Rujescu D, Giegling I, Kahn RS, Roffman JL, Holt DJ, Ehrlich S, Kikinis Z, Dazzan P, Murray RM, Di Forti M, Lee J, Sim K, Lam M, Wolthusen RPF, de Zwarte SMC, Walton E, Cosgrove D, Kelly S, Maleki N, Osiecki L, Picchioni MM, Bramon E, Russo M, David AS, Mondelli V, Reinders AATS, Falcone MA, Hartmann AM, Konte B, Morris DW, Gill M, Corvin AP, Cahn W, Ho NF, Liu JJ, Keefe RSE, Gollub RL, Manoach DS, Calhoun VD, Schulz SC, Sponheim SR, Goff DC, Buka SL, Cherkerzian S, Thermenos HW, Kubicki M, Nestor PG, Dickie EW, Vassos E, Ciufolini S, Marques TR, Crossley NA, Purcell SM, Smoller JW, van Haren NEM, Toulopoulou T, Donohoe G, Goldstein JM, Seidman LJ, McCarley RW, Petryshen TL. The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) consortium: A collaborative cognitive and neuroimaging genetics project. Schizophr Res 2018; 195:306-317. [PMID: 28982554 PMCID: PMC5882601 DOI: 10.1016/j.schres.2017.09.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 09/15/2017] [Accepted: 09/20/2017] [Indexed: 01/02/2023]
Abstract
BACKGROUND Schizophrenia has a large genetic component, and the pathways from genes to illness manifestation are beginning to be identified. The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) Consortium aims to clarify the role of genetic variation in brain abnormalities underlying schizophrenia. This article describes the GENUS Consortium sample collection. METHODS We identified existing samples collected for schizophrenia studies consisting of patients, controls, and/or individuals at familial high-risk (FHR) for schizophrenia. Samples had single nucleotide polymorphism (SNP) array data or genomic DNA, clinical and demographic data, and neuropsychological and/or brain magnetic resonance imaging (MRI) data. Data were subjected to quality control procedures at a central site. RESULTS Sixteen research groups contributed data from 5199 psychosis patients, 4877 controls, and 725 FHR individuals. All participants have relevant demographic data and all patients have relevant clinical data. The sex ratio is 56.5% male and 43.5% female. Significant differences exist between diagnostic groups for premorbid and current IQ (both p<1×10-10). Data from a diversity of neuropsychological tests are available for 92% of participants, and 30% have structural MRI scans (half also have diffusion-weighted MRI scans). SNP data are available for 76% of participants. The ancestry composition is 70% European, 20% East Asian, 7% African, and 3% other. CONCLUSIONS The Consortium is investigating the genetic contribution to brain phenotypes in a schizophrenia sample collection of >10,000 participants. The breadth of data across clinical, genetic, neuropsychological, and MRI modalities provides an important opportunity for elucidating the genetic basis of neural processes underlying schizophrenia.
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Affiliation(s)
- Gabriëlla A. M. Blokland
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic
Medicine, Massachusetts General Hospital, Boston, MA, United States,Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Stanley Center for Psychiatric Research, Broad Institute of MIT and
Harvard, Cambridge, MA, United States
| | - Elisabetta C. del Re
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Department of Psychiatry, Veterans Affairs Boston Healthcare System,
Brockton, MA, United States,Psychiatry Neuroimaging Laboratory, Department of Psychiatry,
Brigham and Women’s Hospital, Boston, MA, United States
| | - Raquelle I. Mesholam-Gately
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Massachusetts Mental Health Center Public Psychiatry Division, Beth
Israel Deaconess Medical Center, Boston, MA, United States
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CiMEC), University of Trento,
Trento, Italy
| | - Joey W. Trampush
- Center for Psychiatric Neuroscience, The Feinstein Institute for
Medical Research, Division of Northwell Health, Manhasset, NY, United States;
Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell
Health, Glen Oaks, NY, United States; Hofstra Northwell School of Medicine,
Departments of Psychiatry and Molecular Medicine, Hempstead, NY, United States,BrainWorkup, LLC, Los Angeles, CA, United States
| | - Matcheri S. Keshavan
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Massachusetts Mental Health Center Public Psychiatry Division, Beth
Israel Deaconess Medical Center, Boston, MA, United States,University of Pittsburgh Medical Center, Pittsburgh, PA, United
States
| | - Lynn E. DeLisi
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Department of Psychiatry, Veterans Affairs Boston Healthcare System,
Brockton, MA, United States
| | - James T. R. Walters
- Department of Psychological Medicine, Cardiff University, Cardiff,
United Kingdom
| | - Jessica A. Turner
- The Mind Research Network, Albuquerque, NM, United States,Department of Psychology and Neuroscience Institute, Georgia State
University, GA, United States
| | - Anil K. Malhotra
- Center for Psychiatric Neuroscience, The Feinstein Institute for
Medical Research, Division of Northwell Health, Manhasset, NY, United States;
Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell
Health, Glen Oaks, NY, United States; Hofstra Northwell School of Medicine,
Departments of Psychiatry and Molecular Medicine, Hempstead, NY, United States
| | - Todd Lencz
- Center for Psychiatric Neuroscience, The Feinstein Institute for
Medical Research, Division of Northwell Health, Manhasset, NY, United States;
Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell
Health, Glen Oaks, NY, United States; Hofstra Northwell School of Medicine,
Departments of Psychiatry and Molecular Medicine, Hempstead, NY, United States
| | - Martha E. Shenton
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Department of Psychiatry, Veterans Affairs Boston Healthcare System,
Brockton, MA, United States,Psychiatry Neuroimaging Laboratory, Department of Psychiatry,
Brigham and Women’s Hospital, Boston, MA, United States,Department of Radiology, Brigham and Women’s Hospital,
Harvard Medical School, Boston, MA, United States
| | - Aristotle N. Voineskos
- Kimel Family Translational Imaging Genetics Laboratory, Research
Imaging Centre, Campbell Family Mental Health Institute, Centre for Addiction and
Mental Health, Department of Psychiatry, Faculty of Medicine, University of Toronto,
Toronto, ON, Canada,Department of Psychiatry and Institute of Medical Science,
University of Toronto, Toronto, ON, Canada
| | - Dan Rujescu
- Department of Psychiatry, Psychotherapy and Psychosomatics,
University of Halle-Wittenberg, Halle an der Saale, Germany,Department of Psychiatry, Ludwig Maximilians University, Munich,
Germany
| | - Ina Giegling
- Department of Psychiatry, Psychotherapy and Psychosomatics,
University of Halle-Wittenberg, Halle an der Saale, Germany
| | - René S. Kahn
- Brain Centre Rudolf Magnus, Department of Psychiatry, University
Medical Centre Utrecht, Utrecht, The Netherlands
| | - Joshua L. Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,MGH/HST Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA, United States
| | - Daphne J. Holt
- Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,MGH/HST Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA, United States
| | - Stefan Ehrlich
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,MGH/HST Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA, United States,Division of Psychological & Social Medicine and Developmental
Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden,
Germany
| | - Zora Kikinis
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Psychiatry Neuroimaging Laboratory, Department of Psychiatry,
Brigham and Women’s Hospital, Boston, MA, United States
| | - Paola Dazzan
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Robin M. Murray
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Marta Di Forti
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Jimmy Lee
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | - Kang Sim
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | - Max Lam
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | - Rick P. F. Wolthusen
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,MGH/HST Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA, United States,Division of Psychological & Social Medicine and Developmental
Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden,
Germany
| | - Sonja M. C. de Zwarte
- Brain Centre Rudolf Magnus, Department of Psychiatry, University
Medical Centre Utrecht, Utrecht, The Netherlands
| | - Esther Walton
- Division of Psychological & Social Medicine and Developmental
Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden,
Germany
| | - Donna Cosgrove
- The Cognitive Genetics and Cognitive Therapy Group, Department of
Psychology, National University of Ireland, Galway, Ireland
| | - Sinead Kelly
- Neuropsychiatric Genetics Research Group, Department of Psychiatry,
Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland; Trinity
College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland,Laboratory of NeuroImaging, Keck School of Medicine, University of
Southern California, Los Angeles, CA, United States
| | - Nasim Maleki
- Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,MGH/HST Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA, United States
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic
Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Marco M. Picchioni
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Elvira Bramon
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom,Mental Health Neuroscience Research Department, UCL Division of
Psychiatry, University College London, United Kingdom
| | - Manuela Russo
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Anthony S. David
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Valeria Mondelli
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Antje A. T. S. Reinders
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - M. Aurora Falcone
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Annette M. Hartmann
- Department of Psychiatry, Psychotherapy and Psychosomatics,
University of Halle-Wittenberg, Halle an der Saale, Germany
| | - Bettina Konte
- Department of Psychiatry, Psychotherapy and Psychosomatics,
University of Halle-Wittenberg, Halle an der Saale, Germany
| | - Derek W. Morris
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and
Cognitive Genomics (NICOG) Centre and NCBES Galway Neuroscience Centre, School of
Psychology and Discipline of Biochemistry, National University of Ireland, Galway,
Ireland
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry,
Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland; Trinity
College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Aiden P. Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry,
Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland; Trinity
College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Wiepke Cahn
- Brain Centre Rudolf Magnus, Department of Psychiatry, University
Medical Centre Utrecht, Utrecht, The Netherlands
| | - New Fei Ho
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | | | - Richard S. E. Keefe
- Department of Psychiatry and Behavioral Sciences, Duke University
Medical Center, Durham, NC, United States
| | - Randy L. Gollub
- Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,MGH/HST Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA, United States
| | - Dara S. Manoach
- Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,MGH/HST Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA, United States
| | - Vince D. Calhoun
- The Mind Research Network, Albuquerque, NM, United States,Department of Electrical and Computer Engineering, University of
New Mexico, Albuquerque, NM, United States
| | - S. Charles Schulz
- Department of Psychiatry, University of Minnesota, Minneapolis, MN,
United States
| | - Scott R. Sponheim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN,
United States
| | - Donald C. Goff
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Nathan S. Kline Institute for Psychiatric Research, Department of
Psychiatry, New York University Langone Medical Center, New York, NY, United
States
| | - Stephen L. Buka
- Department of Epidemiology, Brown University, Providence, RI,
United States
| | - Sara Cherkerzian
- Department of Medicine, Division of Women’s Health, Brigham
and Women’s Hospital, Harvard Medical School, Boston, MA, United
States
| | - Heidi W. Thermenos
- Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Massachusetts Mental Health Center Public Psychiatry Division, Beth
Israel Deaconess Medical Center, Boston, MA, United States
| | - Marek Kubicki
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Psychiatry Neuroimaging Laboratory, Department of Psychiatry,
Brigham and Women’s Hospital, Boston, MA, United States,Department of Radiology, Brigham and Women’s Hospital,
Harvard Medical School, Boston, MA, United States,MGH/HST Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA, United States
| | - Paul G. Nestor
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Department of Psychiatry, Veterans Affairs Boston Healthcare System,
Brockton, MA, United States,Laboratory of Applied Neuropsychology, University of Massachusetts,
Boston, MA, United States
| | - Erin W. Dickie
- Kimel Family Translational Imaging Genetics Laboratory, Research
Imaging Centre, Campbell Family Mental Health Institute, Centre for Addiction and
Mental Health, Department of Psychiatry, Faculty of Medicine, University of Toronto,
Toronto, ON, Canada
| | - Evangelos Vassos
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Simone Ciufolini
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Tiago Reis Marques
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Nicolas A. Crossley
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health
Biomedical Research Centre at South London and Maudsley NHS Foundation Trust,
London, United Kingdom
| | - Shaun M. Purcell
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Stanley Center for Psychiatric Research, Broad Institute of MIT and
Harvard, Cambridge, MA, United States,Department of Psychiatry, Brigham and Women’s Hospital,
Boston, MA, United States,Division of Psychiatric Genomics, Departments of Psychiatry and
Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York,
NY, United States
| | - Jordan W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic
Medicine, Massachusetts General Hospital, Boston, MA, United States,Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Stanley Center for Psychiatric Research, Broad Institute of MIT and
Harvard, Cambridge, MA, United States
| | - Neeltje E. M. van Haren
- Brain Centre Rudolf Magnus, Department of Psychiatry, University
Medical Centre Utrecht, Utrecht, The Netherlands
| | - Timothea Toulopoulou
- Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, United Kingdom,Department of Psychology, Bilkent University, Bilkent, Ankara,
Turkey,Department of Psychology, The University of Hong Kong, Pokfulam,
Hong Kong, SAR, China
| | - Gary Donohoe
- Neuropsychiatric Genetics Research Group, Department of Psychiatry,
Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland; Trinity
College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland,Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and
Cognitive Genomics (NICOG) Centre and NCBES Galway Neuroscience Centre, School of
Psychology and Discipline of Biochemistry, National University of Ireland, Galway,
Ireland
| | - Jill M. Goldstein
- Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Department of Medicine, Division of Women’s Health, Brigham
and Women’s Hospital, Harvard Medical School, Boston, MA, United
States,Department of Psychiatry, Brigham and Women’s Hospital,
Boston, MA, United States
| | - Larry J. Seidman
- Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Massachusetts Mental Health Center Public Psychiatry Division, Beth
Israel Deaconess Medical Center, Boston, MA, United States
| | - Robert W. McCarley
- Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Department of Psychiatry, Veterans Affairs Boston Healthcare System,
Brockton, MA, United States
| | - Tracey L. Petryshen
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic
Medicine, Massachusetts General Hospital, Boston, MA, United States,Department of Psychiatry, Massachusetts General Hospital, Boston,
MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United
States,Stanley Center for Psychiatric Research, Broad Institute of MIT and
Harvard, Cambridge, MA, United States
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17
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Common variation in ZNF804A (rs1344706) is not associated with brain morphometry in schizophrenia or healthy participants. Prog Neuropsychopharmacol Biol Psychiatry 2018; 82:12-20. [PMID: 29247760 DOI: 10.1016/j.pnpbp.2017.12.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 11/24/2017] [Accepted: 12/10/2017] [Indexed: 11/22/2022]
Abstract
BACKGROUND The single nucleotide polymorphism (SNP) rs1344706 [A>C] within intron 2 of the zinc finger protein 804A gene (ZNF804A) is associated with schizophrenia at the genome-wide level, but its function in relation to the development of psychotic disorders, including its influence on brain morphology remains unclear. METHODS Using both univariate (voxel-based morphometry, VBM; cortical thickness) and multivariate (source-based morphometry, SBM) approaches, we examined the effects of variation of the rs1344706 polymorphism on grey matter integrity in 214 Caucasian schizophrenia cases and 94 Caucasian healthy individuals selected from the Australian Schizophrenia Research Bank. RESULTS Neither univariate nor multivariate analyses showed any associations between indices of grey matter and rs1344706 variation in schizophrenia or healthy participants. This was revealed in the context of the typical pattern of decreased grey matter integrity in schizophrenia compared to healthy individuals, including: (1) large grey matter volume reductions in the orbitofrontal and anterior cingulate cortices and the left fusiform/inferior temporal gyri; (2) decreased cortical thickness in the left inferior temporal and fusiform gyri, the left orbitofrontal gyrus, as well as in the right pars opercularis/precentral gyrus; and (3) decreased covariation of grey matter concentration in frontal and limbic brain regions emerging from the SBM analyses. CONCLUSIONS Contrary to some - but not all - previous findings, this study of a large sample of schizophrenia cases and healthy controls reveals no evidence for association between grey matter alterations and variation in rs1344706 (ZNF804A). Differences in sample sizes and ethnicities may account for discrepant findings between the present and previous studies.
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18
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The impact of psychosis genome-wide associated ZNF804A variation on verbal fluency connectivity. J Psychiatr Res 2018; 98:17-21. [PMID: 29257977 PMCID: PMC5793999 DOI: 10.1016/j.jpsychires.2017.12.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2017] [Revised: 12/02/2017] [Accepted: 12/08/2017] [Indexed: 11/21/2022]
Abstract
Schizophrenia (SCZ) and bipolar disorder (BD) have high heritability. Genome-wide association studies (GWAS) have identified ZNF804A as a significant risk gene for both illnesses. A validation of this finding at the brain systems-level is imperative as there is still little understanding of how it heightens risk. Based in part on our recent findings of an effect on widespread decreased white matter microstructural fractional anisotropy (putatively a proxy of its integrity), particularly strong in SCZ, we asked whether the risk allele has a detrimental effect on regional brain activation and functional connectivity during a type of cognitive processing which is, together with its neural correlates, impaired in BD and SCZ: verbal fluency. Functional MRI and genotype data was collected from 80 healthy volunteers, and 54 SCZ and 40 BD patients. A standard multifactorial analysis of variance using statistical parametric mapping and significance correction of FWE p < 0.05 was used. We found the GWAS risk allele A was associated with decreased positive functional coupling between the left precentral gyrus/inferior frontal gyrus (i.e. the most highly recruited area for the task) and: 1) the left inferior frontal gyrus, and 2) the left posterior cingulate gyrus, encompassing the precuneus; both as a main effect across controls and psychosis patients. Such association of the risk allele with reduced functional connectivity (with no area where the opposite main effect was detected), converges with findings in other tasks, our previous finding of its widespread impact on brain white matter microstructure, and with the dysconnectivity hypothesis of SCZ.
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Abstract
Imaging genetics is a research methodology studying the effect of genetic variation on brain structure, function, behavior, and risk for psychopathology. Since the early 2000s, imaging genetics has been increasingly used in the research of schizophrenia (SZ). SZ is a severe mental disorder with no precise knowledge of its underlying neurobiology, however, new genetic and neurobiological data generate a climate for new avenues. The accumulating data of genome wide association studies (GWAS) continuously decode SZ risk genes. Global neuroimaging consortia produce collections of brain phenotypes from tens of thousands of people. In this context, imaging genetics will be strategically important both for the validation and discovery of SZ related findings. Thus, the study of GWAS supported risk variants as candidate genes to validate by neuroimaging is one trend. The study of epigenetic differences in relation to variations of brain phenotypes and the study of large scale multivariate analysis of genome wide and brain wide associations are other trends. While these studies hold a big potential for understanding the neurobiology of SZ, the problem of reproducibility appears as a major challenge, which requires standardizations in study designs and compensations of methodological limitations such as sensitivity and specificity. On the other hand, advancements of neuroimaging, optical and electron microscopy along with the use of genetically encoded fluorescent probes and robust statistical approaches will not only catalyze integrative methodologies but also will help better design the imaging genetics studies. In this invited paper, I will discuss the current perspective of imaging genetics and emerging opportunities of SZ research.
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Affiliation(s)
- Ayla Arslan
- Faculty of Engineering and Natural Sciences, Department of Genetics and Bioengineering, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina; Faculty of Engineering and Natural Sciences, Department of Molecular Biology and Genetics, Uskudar University, Istanbul, Turkey.
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20
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Porcelli S, Lee SJ, Han C, Patkar AA, Albani D, Jun TY, Pae CU, Serretti A. Hot Genes in Schizophrenia: How Clinical Datasets Could Help to Refine their Role. J Mol Neurosci 2017; 64:273-286. [DOI: 10.1007/s12031-017-1016-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 12/12/2017] [Indexed: 11/25/2022]
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21
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Neuroplasticity and second messenger pathways in antidepressant efficacy: pharmacogenetic results from a prospective trial investigating treatment resistance. Eur Arch Psychiatry Clin Neurosci 2017; 267:723-735. [PMID: 28260126 DOI: 10.1007/s00406-017-0766-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 01/14/2017] [Indexed: 02/06/2023]
Abstract
Genes belonging to neuroplasticity, monoamine, circadian rhythm, and transcription factor pathways were investigated as modulators of antidepressant efficacy. The present study aimed (1) to replicate previous findings in an independent sample with treatment-resistant depression (TRD), and (2) to perform a pathway analysis to investigate the possible molecular mechanisms involved. 220 patients with major depressive disorder who were non-responders to a previous antidepressant were treated with venlafaxine for 4-6 weeks and in case of non-response with escitalopram for 4-6 weeks. Symptoms were assessed using the Montgomery Asberg Depression Rating Scale. The phenotypes were response and remission to venlafaxine, non-response (TRDA) and non-remission (TRDB) to neither venlafaxine nor escitalopram. 50 tag SNPs in 14 genes belonging to the pathways of interest were tested for association with phenotypes. Molecular pathways (KEGG database) that included one or more of the genes associated with the phenotypes were investigated also in the STAR*D sample. The associations between ZNF804A rs7603001 and response, CREB1 rs2254137 and remission were replicated, as well as CHL1 rs2133402 and lower risk of TRD. Other CHL1 SNPs were potential predictors of TRD (rs1516340, rs2272522, rs1516338, rs2133402). The MAPK1 rs6928 SNP was consistently associated with all the phenotypes. The protein processing in endoplasmic reticulum pathway (hsa04141) was the best pathway that may explain the mechanisms of MAPK1 involvement in antidepressant response. Signals in genes previously associated with antidepressant efficacy were confirmed for CREB1, ZNF804A and CHL1. These genes play pivotal roles in synaptic plasticity, neural activity and connectivity.
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22
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Chang H, Xiao X, Li M. The schizophrenia risk gene ZNF804A: clinical associations, biological mechanisms and neuronal functions. Mol Psychiatry 2017; 22:944-953. [PMID: 28289284 DOI: 10.1038/mp.2017.19] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Revised: 01/02/2017] [Accepted: 01/09/2017] [Indexed: 02/07/2023]
Abstract
ZNF804A (zinc-finger protein 804A) has been recognized as a schizophrenia risk gene across multiple world populations. Its intronic single-nucleotide polymorphism (SNP) rs1344706 is among one of the strongest susceptibility variants that have achieved genome-wide significance in genome-wide association studies (GWAS) for schizophrenia and has been widely and intensively studied. To elucidate the biological mechanisms underlying the genetic risk conferred by rs1344706, we retrospectively analyzed the progresses in brain gene expression quantitative trait loci (eQTL) analyses, ZNF804A-induced pathway alterations in neural cells and changes in synaptic phenotypes associated with ZNF804A expression. Based on these data, we hypothesize a potential biological mechanism for a genetic risk allele of ZNF804A in schizophrenia pathogenesis. We also review the efforts being made to characterize the affected intermediate phenotypes using neuroimaging and neuropsychological approaches. We then discuss additional common and rare ZNF804A variants in schizophrenia susceptibility and the potential genetic heterogeneity of these genomic loci between Europeans and Asians. This review for we believe the first time systematically presents the evidence for ZNF804A, describing its discovery and likely roles in brain development and schizophrenia pathogenesis. We believe that this work has summarized this information with a systemic and broad assessment of recent findings.
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Affiliation(s)
- H Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - X Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - M Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
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23
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ZNF804A rs1344706 interacts with COMT rs4680 to affect prefrontal volume in healthy adults. Brain Imaging Behav 2017; 12:13-19. [DOI: 10.1007/s11682-016-9671-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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24
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Oelsner KT, Guo Y, To SBC, Non AL, Barkin SL. Maternal BMI as a predictor of methylation of obesity-related genes in saliva samples from preschool-age Hispanic children at-risk for obesity. BMC Genomics 2017; 18:57. [PMID: 28068899 PMCID: PMC5223358 DOI: 10.1186/s12864-016-3473-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Accepted: 12/26/2016] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The study of epigenetic processes and mechanisms present a dynamic approach to assess complex individual variation in obesity susceptibility. However, few studies have examined epigenetic patterns in preschool-age children at-risk for obesity despite the relevance of this developmental stage to trajectories of weight gain. We hypothesized that salivary DNA methylation patterns of key obesogenic genes in Hispanic children would 1) correlate with maternal BMI and 2) allow for identification of pathways associated with children at-risk for obesity. RESULTS Genome-wide DNA methylation was conducted on 92 saliva samples collected from Hispanic preschool children using the Infinium Illumina HumanMethylation 450 K BeadChip (Illumina, San Diego, CA, USA), which interrogates >484,000 CpG sites associated with ~24,000 genes. The analysis was limited to 936 genes that have been associated with obesity in a prior GWAS Study. Child DNA methylation at 17 CpG sites was found to be significantly associated with maternal BMI, with increased methylation at 12 CpG sites and decreased methylation at 5 CpG sites. Pathway analysis revealed methylation at these sites related to homocysteine and methionine degradation as well as cysteine biosynthesis and circadian rhythm. Furthermore, eight of the 17 CpG sites reside in genes (FSTL1, SORCS2, NRF1, DLC1, PPARGC1B, CHN2, NXPH1) that have prior known associations with obesity, diabetes, and the insulin pathway. CONCLUSIONS Our study confirms that saliva is a practical human tissue to obtain in community settings and in pediatric populations. These salivary findings indicate potential epigenetic differences in Hispanic preschool children at risk for pediatric obesity. Identifying early biomarkers and understanding pathways that are epigenetically regulated during this critical stage of child development may present an opportunity for prevention or early intervention for addressing childhood obesity. TRIAL REGISTRATION The clinical trial protocol is available at ClinicalTrials.gov ( NCT01316653 ). Registered 3 March 2011.
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Affiliation(s)
- Kathryn Tully Oelsner
- College of Medicine, Medical University of South Carolina, 96 Jonathan Lucas St, Suite 601, MSC 617, Charleston, SC 29425 USA
| | - Yan Guo
- Center for Quantitative Research, School of Medicine, Vanderbilt University, 2220 Pierce Ave, 571 Preston Research Building, Nashville, TN USA
| | - Sophie Bao-Chieu To
- Department of Biological Sciences, Vanderbilt University, 1210 BSB, 465 21st Ave S, Nashville, TN USA
| | - Amy L. Non
- Department of Anthropology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA
| | - Shari L. Barkin
- Department of Pediatrics, Vanderbilt University School of Medicine, 2200 Children’s Way, Doctor’s Office Tower 8232, Nashville, TN 37232-9225 USA
- Pediatric Obesity Research, Diabetes Research and Training Center, Vanderbilt University School of Medicine, 2200 Children’s Way, Doctor’s Office Tower 8232, Nashville, TN 37232-9225 USA
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Zai G, Robbins TW, Sahakian BJ, Kennedy JL. A review of molecular genetic studies of neurocognitive deficits in schizophrenia. Neurosci Biobehav Rev 2017; 72:50-67. [DOI: 10.1016/j.neubiorev.2016.10.024] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 10/17/2016] [Accepted: 10/27/2016] [Indexed: 02/08/2023]
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Mallas EJ, Carletti F, Chaddock CA, Woolley J, Picchioni MM, Shergill SS, Kane F, Allin MP, Barker GJ, Prata DP. Genome-wide discovered psychosis-risk gene ZNF804A impacts on white matter microstructure in health, schizophrenia and bipolar disorder. PeerJ 2016; 4:e1570. [PMID: 26966642 PMCID: PMC4782689 DOI: 10.7717/peerj.1570] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2015] [Accepted: 12/15/2015] [Indexed: 01/10/2023] Open
Abstract
Background. Schizophrenia (SZ) and bipolar disorder (BD) have both been associated with reduced microstructural white matter integrity using, as a proxy, fractional anisotropy (FA) detected using diffusion tensor imaging (DTI). Genetic susceptibility for both illnesses has also been positively correlated in recent genome-wide association studies with allele A (adenine) of single nucleotide polymorphism (SNP) rs1344706 of the ZNF804A gene. However, little is known about how the genomic linkage disequilibrium region tagged by this SNP impacts on the brain to increase risk for psychosis. This study aimed to assess the impact of this risk variant on FA in patients with SZ, in those with BD and in healthy controls. Methods. 230 individuals were genotyped for the rs1344706 SNP and underwent DTI. We used tract-based spatial statistics (TBSS) followed by an analysis of variance, with threshold-free cluster enhancement (TFCE), to assess underlying effects of genotype, diagnosis and their interaction, on FA. Results. As predicted, statistically significant reductions in FA across a widely distributed brain network (p < 0.05, TFCE-corrected) were positively associated both with a diagnosis of SZ or BD and with the double (homozygous) presence of the ZNF804A rs1344706 risk variant (A). The main effect of genotype was medium (d = 0.48 in a 44,054-voxel cluster) and the effect in the SZ group alone was large (d = 1.01 in a 51,260-voxel cluster), with no significant effects in BD or controls, in isolation. No areas under a significant diagnosis by genotype interaction were found. Discussion. We provide the first evidence in a predominantly Caucasian clinical sample, of an association between ZNF804A rs1344706 A-homozygosity and reduced FA, both irrespective of diagnosis and particularly in SZ (in overlapping brain areas). This suggests that the previously observed involvement of this genomic region in psychosis susceptibility, and in impaired functional connectivity, may be conferred through it inducing abnormalities in white matter microstructure.
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Affiliation(s)
- Emma-Jane Mallas
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | - Francesco Carletti
- Department of Neuroradiology, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Christopher A. Chaddock
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - James Woolley
- Psychological Medicine, Royal Brompton & Harefield NHS Trust, London, United Kingdom
| | - Marco M. Picchioni
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
- St Andrew’s Academic Department, St Andrew’s Healthcare, Northampton, United Kingdom
| | - Sukhwinder S. Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Fergus Kane
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Matthew P.G. Allin
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Gareth J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Diana P. Prata
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, University of London, London, United Kingdom
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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Effect of rs1344706 in the ZNF804A gene on the connectivity between the hippocampal formation and posterior cingulate cortex. Schizophr Res 2016; 170:48-54. [PMID: 26654932 DOI: 10.1016/j.schres.2015.11.024] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Revised: 11/18/2015] [Accepted: 11/24/2015] [Indexed: 12/13/2022]
Abstract
ZNF804A is one of the most promising candidate genes for schizophrenia. Previous fMRI studies have repeatedly shown an association between SNP rs1344706 in this gene and the functional connectivity from the right dorsolateral prefrontal cortex (rDLPFC) to the left hippocampal formation (lHF) during the N-back task. However, the rDLPFC-lHF functional connectivity included several subconnections and it is not known whether rs1344706 plays the same role in these subconnections. This study addressed that question using both fMRI and DTI data of 87 subjects. First, we replicated the association between rs1344706 and the rDLPFC-lHF functional connectivity using our fMRI data from the N-back task. Second, we reconstructed fiber connections between rDLPFC and lHF using our DTI data, which included three subconnections: from lHF to posterior cingulate cortex (PCC), from PCC to anterior cingulated cortex (ACC), and from ACC to rDLPFC. We found that only the lHF-PCC tract showed significantly lower fractional anisotropy (FA) in risk allele homozygotes. Finally, we analyzed the fMRI data (from the N-back task and the resting state). Both consistently showed relatively lower lHF-PCC functional connectivity in risk allele homozygotes. Taken together, the disconnectivity of the lHF-PCC tract seems to be a plausible intermediate phenotype that links rs1344706 and schizophrenia.
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Hashimoto R, Ohi K, Yamamori H, Yasuda Y, Fujimoto M, Umeda-Yano S, Watanabe Y, Fukunaga M, Takeda M. Imaging genetics and psychiatric disorders. Curr Mol Med 2015; 15:168-75. [PMID: 25732148 PMCID: PMC4460286 DOI: 10.2174/1566524015666150303104159] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2014] [Revised: 12/20/2014] [Accepted: 01/18/2015] [Indexed: 02/01/2023]
Abstract
Imaging genetics is an integrated research method that uses neuroimaging and genetics to assess the impact of genetic variation on brain function and structure. Imaging genetics is both a tool for the discovery of risk genes for psychiatric disorders and a strategy for characterizing the neural systems affected by risk gene variants to elucidate quantitative and mechanistic aspects of brain function implicated in psychiatric disease. Early studies of imaging genetics included association analyses between brain morphology and single nucleotide polymorphisms whose function is well known, such as catechol-Omethyltransferase (COMT) and brain-derived neurotrophic factor (BDNF). GWAS of psychiatric disorders have identified genes with unknown functions, such as ZNF804A, and imaging genetics has been used to investigate clues of the biological function of these genes. The difficulty in replicating the findings of studies with small sample sizes has motivated the creation of largescale collaborative consortiums, such as ENIGMA, CHARGE and IMAGEN, to collect thousands of images. In a genome-wide association study, the ENIGMA consortium successfully identified common variants in the genome associated with hippocampal volume at 12q24, and the CHARGE consortium replicated this finding. The new era of imaging genetics has just begun, and the next challenge we face is the discovery of small effect size signals from large data sets obtained from genetics and neuroimaging. New methods and technologies for data reduction with appropriate statistical thresholds, such as polygenic analysis and parallel independent component analysis (ICA), are warranted. Future advances in imaging genetics will aid in the discovery of genes and provide mechanistic insight into psychiatric disorders.
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Affiliation(s)
| | | | | | | | | | | | | | | | - M Takeda
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan.
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29
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Chang EH, Kirtley A, Chandon TSS, Borger P, Husain-Krautter S, Vingtdeux V, Malhotra AK. Postnatal neurodevelopmental expression and glutamate-dependent regulation of the ZNF804A rodent homologue. Schizophr Res 2015; 168:402-410. [PMID: 26164821 PMCID: PMC4591171 DOI: 10.1016/j.schres.2015.06.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 06/19/2015] [Accepted: 06/23/2015] [Indexed: 12/28/2022]
Abstract
The zinc finger protein ZNF804A rs1344706 variant is a replicated genome-wide significant risk variant for schizophrenia and bipolar disorder. While its association with altered brain structure and cognition in patients and healthy risk allele carriers is well documented, the characteristics and function of the gene in the brain remains poorly understood. Here, we used in situ hybridization to determine mRNA expression levels of the ZNF804A rodent homologue, Zfp804a, across multiple postnatal neurodevelopmental time points in the rat brain. We found changes in Zfp804a expression in the rat hippocampus, frontal cortex, and thalamus across postnatal neurodevelopment. Zfp804a mRNA peaked at postnatal day (P) 21 in hippocampal CA1 and DG regions and was highest in the lower cortical layers of frontal cortex at P1, possibly highlighting a role in developmental migration. Using immunofluorescence, we found that Zfp804a mRNA and ZFP804A co-localized with neurons and not astrocytes. In primary cultured cortical neurons, we found that Zfp804a expression was significantly increased when neurons were exposed to glutamate [20μM], but this increase was blocked by the N-methyl-d-aspartate receptor (NMDAR) antagonist MK-801. Expression of Comt, Pde4b, and Drd2, genes previously shown to be regulated by ZNF804A overexpression, was also significantly changed in an NMDA-dependent manner. Our results describe, for the first time, the unique postnatal neurodevelopmental expression of Zfp804a in the rodent brain and demonstrate that glutamate potentially plays an important role in the regulation of this psychiatric susceptibility gene. These are critical steps toward understanding the biological function of ZNF804A in the mammalian brain.
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Affiliation(s)
- Eric H. Chang
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA
| | - Anne Kirtley
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA
| | - Toni-Shay S. Chandon
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA
| | - Philip Borger
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA
| | - Sehba Husain-Krautter
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA, Center for Oncology and Cell Biology, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA
| | - Valerie Vingtdeux
- Litwin Center for the Study of Alzheimer's Disease, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA
| | - Anil K. Malhotra
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA, Department of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA, Hofstra North Shore-LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hofstra University, Hempstead, NY, USA
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30
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Elevated P3b latency variability in carriers of ZNF804A risk allele for psychosis. Neuroimage 2015; 116:207-13. [DOI: 10.1016/j.neuroimage.2015.04.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Revised: 03/23/2015] [Accepted: 04/10/2015] [Indexed: 12/21/2022] Open
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31
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Gurung R, Prata DP. What is the impact of genome-wide supported risk variants for schizophrenia and bipolar disorder on brain structure and function? A systematic review. Psychol Med 2015; 45:2461-2480. [PMID: 25858580 DOI: 10.1017/s0033291715000537] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The powerful genome-wide association studies (GWAS) revealed common mutations that increase susceptibility for schizophrenia (SZ) and bipolar disorder (BD), but the vast majority were not known to be functional or associated with these illnesses. To help fill this gap, their impact on human brain structure and function has been examined. We systematically discuss this output to facilitate its timely integration in the psychosis research field; and encourage reflection for future research. Irrespective of imaging modality, studies addressing the effect of SZ/BD GWAS risk genes (ANK3, CACNA1C, MHC, TCF4, NRGN, DGKH, PBRM1, NCAN and ZNF804A) were included. Most GWAS risk variations were reported to affect neuroimaging phenotypes implicated in SZ/BD: white-matter integrity (ANK3 and ZNF804A), volume (CACNA1C and ZNF804A) and density (ZNF804A); grey-matter (CACNA1C, NRGN, TCF4 and ZNF804A) and ventricular (TCF4) volume; cortical folding (NCAN) and thickness (ZNF804A); regional activation during executive tasks (ANK3, CACNA1C, DGKH, NRGN and ZNF804A) and functional connectivity during executive tasks (CACNA1C and ZNF804A), facial affect recognition (CACNA1C and ZNF804A) and theory-of-mind (ZNF804A); but inconsistencies and non-replications also exist. Further efforts such as standardizing reporting and exploring complementary designs, are warranted to test the reproducibility of these early findings.
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Affiliation(s)
- R Gurung
- Department of Psychosis Studies,Institute of Psychiatry,King's College London,UK
| | - D P Prata
- Centre for Neuroimaging Sciences,Institute of Psychiatry,King's College London,UK
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32
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Sun Y, Hu D, Liang J, Bao YP, Meng SQ, Lu L, Shi J. Association between variants of zinc finger genes and psychiatric disorders: systematic review and meta-analysis. Schizophr Res 2015; 162:124-37. [PMID: 25667193 DOI: 10.1016/j.schres.2015.01.036] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Revised: 01/20/2015] [Accepted: 01/21/2015] [Indexed: 12/21/2022]
Abstract
Psychiatric disorders have a negative impact on society and human lives. Genetic factors are involved in the occurrence and development of psychiatric diseases. ZNF804A has been identified as one of the most compelling risk genes associated with broad phenotypes related to psychosis. We conducted a systematic meta-analysis and reviewed ZNF804A variants in psychosis-related disorders, including schizophrenia, bipolar disorder, and attention-deficit hyperactivity disorder. We also summarized the association between other zinc finger protein genes (ZNFs) and psychiatric diseases. The meta-analysis included a total of six variants of ZNF804A and three variants of other ZNFs (ZDHHC8 and ZKSCAN4), and the effects of ZNF variants on neurocognition and neuroimaging phenotypes were reviewed. The biological functions of these variants are also presented. We verified that ZNF804A was significantly related to psychiatric diseases, and the association between ZNF804A rs1344706 and psychosis (schizophrenia and bipolar disorder) did not vary with disease or ethnicity. The main brain area regulated by ZNF804A rs1344706 was the dorsolateral prefrontal cortex. The effect of ZNF804A variants on cognition did not display consistency with different diseases or methodologies. These findings suggest that ZNF804A might play an important role in common pathogenesis of psychiatric diseases, and its variants are likely involved in regulating the expression of psychosis-related genes, especially the dopamine pathway genes. Further research should focus on the molecular mechanisms by which ZNF804A variants act in psychiatric diseases and related phenotypes.
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Affiliation(s)
- Yan Sun
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Die Hu
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Jie Liang
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Yan-Ping Bao
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Shi-Qiu Meng
- National Institute on Drug Dependence, Beijing 100191, China; Institute of Mental Health/Peking University Sixth Hospital and Key Laboratory of Mental Health, Peking University, Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Lin Lu
- National Institute on Drug Dependence, Beijing 100191, China; Institute of Mental Health/Peking University Sixth Hospital and Key Laboratory of Mental Health, Peking University, Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Jie Shi
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China; The State Key Laboratory of Natural and Biomimetic Drugs, Beijing 100191, China; Key Laboratory for Neuroscience of the Ministry of Education and the Ministry of Public Health, Beijing 100191, China.
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33
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Voineskos AN. Genetic underpinnings of white matter 'connectivity': heritability, risk, and heterogeneity in schizophrenia. Schizophr Res 2015; 161:50-60. [PMID: 24893906 DOI: 10.1016/j.schres.2014.03.034] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Revised: 03/11/2014] [Accepted: 03/12/2014] [Indexed: 12/14/2022]
Abstract
Schizophrenia is a highly heritable disorder. Thus, the combination of genetics and brain imaging may be a useful strategy to investigate the effects of risk genes on anatomical connectivity, and for gene discovery, i.e. discovering the genetic correlates of white matter phenotypes. Following a database search, I review evidence for heritability of white matter phenotypes. I also review candidate gene investigations, examining association of putative risk variants with white matter phenotypes, as well as the recent flurry of research exploring relationships of genome-wide significant risk loci with white matter phenotypes. Finally, I review multivariate and polygene approaches, which constitute a new wave of imaging-genetics research, including large collaborative initiatives aiming to discover new genes that may predict aspects of white matter microstructure. The literature supports the heritability of white matter phenotypes. Loci in genes intimately implicated in oligodendrocyte and myelin development, growth and maintenance, and neurotrophic systems are associated with white matter microstructure. GWAS variants have not yet sufficiently been explored using DTI-based evaluation of white matter to draw conclusions, although micro-RNA 137 is promising due to its potential regulation of other GWAS schizophrenia genes. Many imaging-genetic studies only include healthy participants, which, while helping control for certain confounds, cannot address questions related to disease heterogeneity or symptom expression, and thus more studies should include participants with schizophrenia. With sufficiently large sample sizes, the future of this field lies in polygene strategies aimed at risk prediction and heterogeneity dissection of schizophrenia that can translate to personalized interventions.
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Affiliation(s)
- Aristotle N Voineskos
- Kimel Family Translational Imaging-Genetics Laboratory, Research Imaging Centre, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Canada; Institute of Medical Science, University of Toronto, Canada; Department of Psychiatry, University of Toronto, Canada.
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34
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Peters BD, Karlsgodt KH. White matter development in the early stages of psychosis. Schizophr Res 2015; 161:61-9. [PMID: 24893908 PMCID: PMC4250450 DOI: 10.1016/j.schres.2014.05.021] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 05/06/2014] [Accepted: 05/09/2014] [Indexed: 12/19/2022]
Abstract
Schizophrenia has been conceptualized as a disorder of both neurodevelopment and a disorder of connectivity. One important aspect of the neurodevelopmental hypothesis is that schizophrenia is no longer thought to have discrete illness time points, but rather a long trajectory of brain changes, spanning many years, across a series of stages of the disease including the prodrome, first episode, and chronic period. As the disease progresses, there is a complex relationship between age related changes and disease related changes. Therefore, neural changes, and specifically white matter based connectivity changes, in schizophrenia may be best conceptualized based on a lifespan trajectory. In this selective review, we discuss healthy changes in white matter integrity that occur with age, as well as changes that occur across illness stages. We further propose a set of models that might explain lifespan changes in white matter integrity in schizophrenia, with the conclusion that the evidence most strongly supports a pattern of disrupted maturation during adolescence, with the potential for later changes that may be a result of disease neurotoxicity, abnormal or excessive aging effects, as well as medication, cohort or other effects. Thus, when considering white matter integrity in psychosis, it is critical to consider age in addition to other contributing factors including disease specific effects. Discovery of the factors driving healthy white matter development across the lifespan and deviations from the normal developmental trajectory may provide insights relevant to the discovery of early treatment interventions.
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Affiliation(s)
- Bart D. Peters
- Division of Psychiatry Research, Zucker Hillside Hospital, NorthShore-LIJ Health System, Glen Oaks, NY
| | - Katherine H. Karlsgodt
- Division of Psychiatry Research, Zucker Hillside Hospital, NorthShore-LIJ Health System, Glen Oaks, NY,Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY,Department of Psychiatry, Hofstra NorthShore-LIJ School of Medicine, Hempstead, NY
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35
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Nenadic I, Maitra R, Basmanav FB, Schultz CC, Lorenz C, Schachtzabel C, Smesny S, Nöthen MM, Cichon S, Reichenbach JR, Sauer H, Schlösser RGM, Gaser C. ZNF804A genetic variation (rs1344706) affects brain grey but not white matter in schizophrenia and healthy subjects. Psychol Med 2015; 45:143-152. [PMID: 25065377 DOI: 10.1017/s0033291714001159] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND Genetic variation in the gene encoding ZNF804A, a risk gene for schizophrenia, has been shown to affect brain functional endophenotypes of the disorder, while studies of white matter structure have been inconclusive. METHOD We analysed effects of ZNF804A single nucleotide polymorphism rs1344706 on grey and white matter using voxel-based morphometry (VBM) in high-resolution T1-weighted magnetic resonance imaging scans of 62 schizophrenia patients and 54 matched healthy controls. RESULTS We found a significant (p < 0.05, family-wise error corrected for multiple comparisons) interaction effect of diagnostic group x genotype for local grey matter in the left orbitofrontal and right and left lateral temporal cortices, where patients and controls showed diverging effects of genotype. Analysing the groups separately (at p < 0.001, uncorrected), variation in rs1344706 showed effects on brain structure within the schizophrenia patients in several areas including the left and right inferior temporal, right supramarginal/superior temporal, right and left inferior frontal, left frontopolar, right and left dorsolateral/ventrolateral prefrontal cortices, and the right thalamus, as well as effects within the healthy controls in left lateral temporal, right anterior insula and left orbitofrontal cortical areas. We did not find effects of genotype of regional white matter in either of the two cohorts. CONCLUSIONS Our findings demonstrate effects of ZNF804A genetic variation on brain structure, with diverging regional effects in schizophrenia patients and healthy controls in frontal and temporal brain areas. These effects, however, might be dependent on the impact of other (genetic or non-genetic) disease factors.
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Affiliation(s)
- I Nenadic
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - R Maitra
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - F B Basmanav
- Institute of Human Genetics,University of Bonn,Bonn,Germany
| | - C C Schultz
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - C Lorenz
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - C Schachtzabel
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - S Smesny
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - M M Nöthen
- Institute of Human Genetics,University of Bonn,Bonn,Germany
| | - S Cichon
- Department of Genomics, Life and Brain Center,University of Bonn,Bonn,Germany
| | - J R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology I (IDIR I),Jena University Hospital,Germany
| | - H Sauer
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - R G M Schlösser
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - C Gaser
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
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36
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Nicodemus KK, Hargreaves A, Morris D, Anney R, Gill M, Corvin A, Donohoe G. Variability in working memory performance explained by epistasis vs polygenic scores in the ZNF804A pathway. JAMA Psychiatry 2014; 71:778-785. [PMID: 24828433 PMCID: PMC4337973 DOI: 10.1001/jamapsychiatry.2014.528] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
IMPORTANCE We investigated the variation in neuropsychological function explained by risk alleles at the psychosis susceptibility gene ZNF804A and its interacting partners using single nucleotide polymorphisms (SNPs), polygenic scores, and epistatic analyses. Of particular importance was the relative contribution of the polygenic score vs epistasis in variation explained. OBJECTIVES To (1) assess the association between SNPs in ZNF804A and the ZNF804A polygenic score with measures of cognition in cases with psychosis and (2) assess whether epistasis within the ZNF804A pathway could explain additional variation above and beyond that explained by the polygenic score. DESIGN, SETTING, AND PARTICIPANTS Patients with psychosis (n = 424) were assessed in areas of cognitive ability impaired in schizophrenia including IQ, memory, attention, and social cognition. We used the Psychiatric GWAS Consortium 1 schizophrenia genome-wide association study to calculate a polygenic score based on identified risk variants within this genetic pathway. Cognitive measures significantly associated with the polygenic score were tested for an epistatic component using a training set (n = 170), which was used to develop linear regression models containing the polygenic score and 2-SNP interactions. The best-fitting models were tested for replication in 2 independent test sets of cases: (1) 170 individuals with schizophrenia or schizoaffective disorder and (2) 84 patients with broad psychosis (including bipolar disorder, major depressive disorder, and other psychosis). MAIN OUTCOMES AND MEASURES Participants completed a neuropsychological assessment battery designed to target the cognitive deficits of schizophrenia including general cognitive function, episodic memory, working memory, attentional control, and social cognition. RESULTS Higher polygenic scores were associated with poorer performance among patients on IQ, memory, and social cognition, explaining 1% to 3% of variation on these scores (range, P = .01 to .03). Using a narrow psychosis training set and independent test sets of narrow phenotype psychosis (schizophrenia and schizoaffective disorder), broad psychosis, and control participants (n = 89), the addition of 2 interaction terms containing 2 SNPs each increased the R2 for spatial working memory strategy in the independent psychosis test sets from 1.2% using the polygenic score only to 4.8% (P = .11 and .001, respectively) but did not explain additional variation in control participants. CONCLUSIONS AND RELEVANCE These data support a role for the ZNF804A pathway in IQ, memory, and social cognition in cases. Furthermore, we showed that epistasis increases the variation explained above the contribution of the polygenic score.
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Affiliation(s)
- Kristin K. Nicodemus
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity College Dublin, St. James Hospital, Dublin 8, Ireland
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, UK
| | - April Hargreaves
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity College Dublin, St. James Hospital, Dublin 8, Ireland
| | - Derek Morris
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity College Dublin, St. James Hospital, Dublin 8, Ireland
| | - Richard Anney
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity College Dublin, St. James Hospital, Dublin 8, Ireland
| | | | | | - Michael Gill
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity College Dublin, St. James Hospital, Dublin 8, Ireland
| | - Aiden Corvin
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity College Dublin, St. James Hospital, Dublin 8, Ireland
| | - Gary Donohoe
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity College Dublin, St. James Hospital, Dublin 8, Ireland
- School of Psychology, National University of Ireland Galway, University Road, Galway, Ireland
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Brain white matter development is associated with a human-specific haplotype increasing the synthesis of long chain fatty acids. J Neurosci 2014; 34:6367-76. [PMID: 24790207 DOI: 10.1523/jneurosci.2818-13.2014] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The genetic and molecular pathways driving human brain white matter (WM) development are only beginning to be discovered. Long chain polyunsaturated fatty acids (LC-PUFAs) have been implicated in myelination in animal models and humans. The biosynthesis of LC-PUFAs is regulated by the fatty acid desaturase (FADS) genes, of which a human-specific haplotype is strongly associated with ω-3 and ω-6 LC-PUFA concentrations in blood. To investigate the relationship between LC-PUFA synthesis and human brain WM development, we examined whether this FADS haplotype is associated with age-related WM differences across the life span in healthy individuals 9-86 years of age (n = 207). Diffusion tensor imaging was performed to measure fractional anisotropy (FA), a putative measure of myelination, of the cerebral WM tracts. FADS haplotype status was determined with a single nucleotide polymorphism (rs174583) that tags this haplotype. Overall, normal age-related WM differences were observed, including higher FA values in early adulthood compared with childhood, followed by lower FA values across older age ranges. However, individuals homozygous for the minor allele (associated with lower LC-PUFA concentrations) did not display these normal age-related WM differences (significant age × genotype interactions, p(corrected) < 0.05). These findings suggest that LC-PUFAs are involved in human brain WM development from childhood into adulthood. This haplotype and LC-PUFAs may play a role in myelin-related disorders of neurodevelopmental origin.
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Schultz CC, Nenadic I, Riley B, Vladimirov VI, Wagner G, Koch K, Schachtzabel C, Mühleisen TW, Basmanav B, Nöthen MM, Deufel T, Kiehntopf M, Rietschel M, Reichenbach JR, Cichon S, Schlösser RGM, Sauer H. ZNF804A and cortical structure in schizophrenia: in vivo and postmortem studies. Schizophr Bull 2014; 40:532-41. [PMID: 24078172 PMCID: PMC3984519 DOI: 10.1093/schbul/sbt123] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Recent evidence indicated that the ZNF804A (rs1344706) risk allele A is associated with better cognitive performance in patients with schizophrenia. Moreover, it has been demonstrated that ZNF804A may also be related to relatively intact gray matter volume in patients. To further explore these putatively protective effects, the impact of ZNF804A on cortical thickness and folding was examined in this study. To elucidate potential molecular mechanisms, an allelic-specific gene expression study was also carried out. Magnetic resonance imaging cortical thickness and folding were computed in 55 genotyped patients with schizophrenia and 40 healthy controls. Homozygous risk allele carriers (AA) were compared with AC/CC carriers. ZNF804A gene expression was analyzed in a prefrontal region using postmortem tissue from another cohort of 35 patients. In patients, AA carriers exhibited significantly thicker cortex in prefrontal and temporal regions and less disturbed superior temporal cortical folding, whereas the opposite effect was observed in controls, ie, AA carrier status was associated with thinner cortex and more severe altered cortical folding. Along with this, our expression analysis revealed that the risk allele is associated with lower prefrontal ZNF804A expression in patients, whereas the opposite effect in controls has been observed by prior analyses. In conclusion, our analyses provide convergent support for the hypothesis that the schizophrenia-associated ZNF804A variant mediates protective effects on cortex structure in patients. In particular, the allele-specific expression profile in patients might constitute a molecular mechanism for the observed protective influence of ZNF804A on cortical thickness and folding and potentially other intermediate phenotypes.
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Affiliation(s)
- Carl Christoph Schultz
- *To whom correspondence should be addressed; Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740 Jena, Germany; tel: +49-3641-9-35665, fax: +49-3641-9-35444, e-mail:
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Ikuta T, Peters BD, Guha S, John M, Karlsgodt KH, Lencz T, Szeszko PR, Malhotra AK. A schizophrenia risk gene, ZNF804A, is associated with brain white matter microstructure. Schizophr Res 2014; 155:15-20. [PMID: 24685285 PMCID: PMC4060886 DOI: 10.1016/j.schres.2014.03.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2013] [Revised: 02/27/2014] [Accepted: 03/01/2014] [Indexed: 01/03/2023]
Abstract
Genome-wide association studies have provided strong evidence for association of the SNP rs1344706 in the ZNF804A gene with schizophrenia and bipolar disorder. Neuroimaging studies have suggested that variation at rs1344706 may be associated with neural endophenotypes such as white matter volumes and densities. However, analyses of white matter microstructure using diffusion tensor imaging (DTI) have produced conflicting results. We examined the association between rs1344706 and white matter microstructure in 107 healthy individuals using tract-based spatial statistics (TBSS). TBSS analysis showed significant association between the risk allele and lower fractional anisotropy in the corpus callosum, left forceps minor, and right parietal white matter (p<.05; FWE corrected). Post-hoc analyses indicated that this association was largely driven by alterations in radial diffusivity, consistent with an effect of genotype on myelination. In light of the strong DTI evidence for white matter microstructural abnormalities in schizophrenia, the current results implicate a potential mechanism for schizophrenia risk formation by ZNF804A rs1344706 genotype.
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Affiliation(s)
- T Ikuta
- Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA.
| | - B D Peters
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - S Guha
- Division of Medical Genetics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, NY, USA
| | - M John
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - K H Karlsgodt
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA; Hofstra North Shore-LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - T Lencz
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA; Hofstra North Shore-LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - P R Szeszko
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA; Hofstra North Shore-LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - A K Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA; Hofstra North Shore-LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
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Fernandes CPD, Westlye LT, Giddaluru S, Christoforou A, Kauppi K, Adolfsson R, Nilsson LG, Nyberg L, Lundervold AJ, Reinvang I, Steen VM, Le Hellard S, Espeseth T. Lack of association of the rs1344706 ZNF804A variant with cognitive functions and DTI indices of white matter microstructure in two independent healthy populations. Psychiatry Res 2014; 222:60-6. [PMID: 24636489 DOI: 10.1016/j.pscychresns.2014.02.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2013] [Revised: 02/10/2014] [Accepted: 02/13/2014] [Indexed: 01/08/2023]
Abstract
The rs1344706 single nucleotide polymorphism within intron 2 of the ZNF804A gene is strongly associated with schizophrenia and bipolar disorder. This variant has also been associated in some studies with a range of cognitive and neuroimaging phenotypes, but several studies have reported no effect on the same phenotypes in other samples. Here, we genotyped 670 healthy adult Norwegian subjects and 1753 healthy adult Swedish subjects for rs1344706, and tested for associations with cognitive phenotypes including general intellectual abilities, memory functions and cognitive inhibition. We also tested whether rs1344706 is associated with white matter microstructural properties using diffusion tensor imaging (DTI) data from 250 to 340 of the Norwegian and Swedish subjects, respectively. Whole-brain voxel-wise statistical modeling of the effect of the ZNF804A variant on two DTI indices, fractional anisotropy (FA) and radial diffusivity (RD), was performed using tract-based spatial statistics (TBSS), and commonly reported effect sizes were calculated within several large-scale white matter pathways based on neuroanatomical atlases. No significant associations were found between rs1344706 and the cognitive traits or white matter microstructure. We conclude that the rs1344706 SNP has no significant effect on these phenotypes in our two reasonably powered samples.
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Affiliation(s)
- Carla Patricia Duarte Fernandes
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway; K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Lars Tjelta Westlye
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre For Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo N-0317, Norway
| | - Sudheer Giddaluru
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Andrea Christoforou
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Karolina Kauppi
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - Rolf Adolfsson
- Department of Clinical Sciences, Division of Psychiatry, Umeå University, Umeå, Sweden
| | - Lars-Göran Nilsson
- Department of Psychology, Stockholm University and Stockholm Brain Institute, Uppsala, Sweden
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Department of Integrative Medical Biology, Physiology Section, and Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden
| | - Astri Johansen Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway; Kavli Research Centre for Aging and Dementia, Haraldsplass Deaconess Hospital, Bergen, Norway; K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Ivar Reinvang
- Department of Psychology, University of Oslo, Oslo N-0317, Norway
| | - Vidar Martin Steen
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Stéphanie Le Hellard
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Thomas Espeseth
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre For Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo N-0317, Norway.
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PPP3CC gene: a putative modulator of antidepressant response through the B-cell receptor signaling pathway. THE PHARMACOGENOMICS JOURNAL 2014; 14:463-72. [PMID: 24709691 DOI: 10.1038/tpj.2014.15] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 01/18/2014] [Accepted: 02/26/2014] [Indexed: 12/24/2022]
Abstract
Antidepressant pharmacogenetics represents a stimulating, but often discouraging field. The present study proposes a combination of several methodologies across three independent samples. Genes belonging to monoamine, neuroplasticity, circadian rhythm and transcription factor pathways were investigated in two samples (n=369 and 88) with diagnosis of major depression who were treated with antidepressants. Phenotypes were response, remission and treatment-resistant depression. Logistic regression including appropriate covariates was performed. Genes associated with outcomes were investigated in the STAR*D (Sequenced Treatment Alternatives to Relieve Depression) genome-wide study (n=1861). Top genes were further studied through a pathway analysis. In both original samples, markers associated with outcomes were concentrated in the PPP3CC gene. Other interesting findings were particularly in the HTR2A gene in one original sample and the STAR*D. The B-cell receptor signaling pathway proved to be the putative mediator of PPP3CC's effect on antidepressant response (P=0.03). Among innovative candidates, PPP3CC, involved in the regulation of immune system and synaptic plasticity, seems promising for further investigation.
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Analysis of schizophrenia-related genes and electrophysiological measures reveals ZNF804A association with amplitude of P300b elicited by novel sounds. Transl Psychiatry 2014; 4:e346. [PMID: 24424392 PMCID: PMC3905227 DOI: 10.1038/tp.2013.117] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Revised: 10/30/2013] [Accepted: 11/03/2013] [Indexed: 12/20/2022] Open
Abstract
Several genes have recently been identified as risk factors for schizophrenia (SZ) by genome-wide association studies (GWAS), including ZNF804A which is thought to function in transcriptional regulation. However, the downstream pathophysiological changes that these genes confer remain to be elucidated. In 143 subjects (68 clinical high risk, first episode or chronic cases; 75 controls), we examined the association between 21 genetic markers previously identified by SZ GWAS or associated with putative intermediate phenotypes of SZ against three event-related potential (ERP) measures: mismatch negativity (MMN), amplitude of P300 during an auditory oddball task, and P300 amplitude during an auditory novelty oddball task. Controlling for age and sex, significant genetic association surpassing Bonferroni correction was detected between ZNF804A marker rs1344706 and P300 amplitude elicited by novel sounds (beta=4.38, P=1.03 × 10(-4)), which is thought to index orienting of attention to unexpected, salient stimuli. Subsequent analyses revealed that the association was driven by the control subjects (beta=6.35, P=9.08 × 10(-5)), and that the risk allele was correlated with higher novel P300b amplitude, in contrast to the significantly lower amplitude observed in cases compared to controls. Novel P300b amplitude was significantly correlated with a neurocognitive measure of auditory attention under interference conditions, suggesting a relationship between novel P300b amplitude and higher-order attentional processes. Our results suggest pleiotropic effects of ZNF804A on risk for SZ and neural mechanisms that are indexed by the novel P300b ERP component.
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Hall MH, Levy DL, Salisbury DF, Haddad S, Gallagher P, Lohan M, Cohen B, Öngür D, Smoller JW. Neurophysiologic effect of GWAS derived schizophrenia and bipolar risk variants. Am J Med Genet B Neuropsychiatr Genet 2014; 165B:9-18. [PMID: 24339136 PMCID: PMC3984007 DOI: 10.1002/ajmg.b.32212] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2013] [Accepted: 10/16/2013] [Indexed: 01/02/2023]
Abstract
Genome-wide association studies (GWAS) have identified multiple single nucleotide polymorphisms (SNPs) as disease associated variants for schizophrenia (SCZ), bipolar disorder (BPD), or both. Although these results are statistically robust, the functional effects of these variants and their role in the pathophysiology of SCZ or BPD remain unclear. Dissecting the effects of risk genes on distinct domains of brain function can provide important biological insights into the mechanisms by which these genes may confer illness risk. This study used quantitative event related potentials to characterize the neurophysiological effects of well-documented GWAS-derived SCZ/BPD susceptibility variants in order to map gene effects onto important domains of brain function. We genotyped 199 patients with DSM-IV diagnoses of SCZ or BPD and 74 healthy control subjects for 19 risk SNPs derived from previous GWAS findings and tested their association with five neurophysiologic traits (P3 amplitude, P3 latency, N1 amplitude, P2 amplitude, and P50 sensory gating responses) known to be abnormal in psychosis. The TCF4 SNP rs17512836 risk allele showed a significant association with reduced auditory P3 amplitude (P = 0.00016) after correction for multiple testing. The same allele was also associated with delayed P3 latency (P = 0.005). Our results suggest that a SCZ risk variant in TCF4 is associated with neurophysiologic traits thought to index attention and working memory abnormalities in psychotic disorders. These findings suggest a mechanism by which TCF4 may contribute to the neurobiological basis of psychotic illness.
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Affiliation(s)
- Mei-Hua Hall
- Psychotic Disorders Division, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry, Psychology Research Laboratory, McLean Hospital, Harvard Medical School, Boston, Massachusetts
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts
| | - Deborah L. Levy
- Department of Psychiatry, Psychology Research Laboratory, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Dean F. Salisbury
- Clinical Neurophysiology Research Laboratory, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Steve Haddad
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts
| | - Patience Gallagher
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts
| | - Mary Lohan
- Department of Psychiatry, Psychology Research Laboratory, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bruce Cohen
- Shervert Frazier Research Institute, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Dost Öngür
- Psychotic Disorders Division, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jordan W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts
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Nicodemus KK, Elvevåg B, Foltz PW, Rosenstein M, Diaz-Asper C, Weinberger DR. Category fluency, latent semantic analysis and schizophrenia: a candidate gene approach. Cortex 2013; 55:182-91. [PMID: 24447899 DOI: 10.1016/j.cortex.2013.12.004] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2013] [Revised: 11/14/2013] [Accepted: 12/11/2013] [Indexed: 10/25/2022]
Abstract
BACKGROUND Category fluency is a widely used task that relies on multiple neurocognitive processes and is a sensitive assay of cortical dysfunction, including in schizophrenia. The test requires naming of as many words belonging to a certain category (e.g., animals) as possible within a short period of time. The core metrics are the overall number of words produced and the number of errors, namely non-members generated for a target category. We combine a computational linguistic approach with a candidate gene approach to examine the genetic architecture of this traditional fluency measure. METHODS In addition to the standard metric of overall word count, we applied a computational approach to semantics, Latent Semantic Analysis (LSA), to analyse the clustering pattern of the categories generated, as it likely reflects the search in memory for meanings. Also, since fluency performance probably also recruits verbal learning and recall processes, we included two standard measures of this cognitive process: the Wechsler Memory Scale and California Verbal Learning Test (CVLT). To explore the genetic architecture of traditional and LSA-derived fluency measures we employed a candidate gene approach focused on SNPs with known function that were available from a recent genome-wide association study (GWAS) of schizophrenia. The selected candidate genes were associated with language and speech, verbal learning and recall processes, and processing speed. A total of 39 coding SNPs were included for analysis in 665 subjects. RESULTS AND DISCUSSION Given the modest sample size, the results should be regarded as exploratory and preliminary. Nevertheless, the data clearly illustrate how extracting the meaning from participants' responses, by analysing the actual content of words, generates useful and neurocognitively viable metrics. We discuss three replicated SNPs in the genes ZNF804A, DISC1 and KIAA0319, as well as the potential for computational analyses of linguistic and textual data in other genomics tasks.
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Affiliation(s)
- Kristin K Nicodemus
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for Health Sciences, Trinity College Dublin, St James Hospital, Dublin, Ireland.
| | - Brita Elvevåg
- Psychiatry Research Group, Department of Clinical Medicine, University of Tromsø, Norway; Norwegian Centre for Integrated Care and Telemedicine (NST), University Hospital of North Norway, Tromsø, Norway
| | - Peter W Foltz
- Pearson Knowledge Technologies, Boulder, CO, USA; Institute for Cognitive Science, University of Colorado, Boulder, CO, USA
| | | | - Catherine Diaz-Asper
- Clinical Brain Disorders Branch, National Institute of Mental Health/NIH, Bethesda, MD, USA
| | - Daniel R Weinberger
- Clinical Brain Disorders Branch, National Institute of Mental Health/NIH, Bethesda, MD, USA; Lieber Institute for Brain Development, Baltimore, MD, USA; Departments of Psychiatry, Neurology, Neuroscience and The Institute of Genomic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
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Smoller JW. Disorders and borders: psychiatric genetics and nosology. Am J Med Genet B Neuropsychiatr Genet 2013; 162B:559-78. [PMID: 24132891 DOI: 10.1002/ajmg.b.32174] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2013] [Accepted: 05/07/2013] [Indexed: 01/10/2023]
Abstract
Over the past century, the definition and classification of psychiatric disorders has evolved through a combination of historical trends, clinical observations, and empirical research. The current nosology, instantiated in the DSM-5 and ICD-10, rests on descriptive criteria agreed upon by a consensus of experts. While the development of explicit criteria has enhanced the reliability of diagnosis, the validity of the current diagnostic categories has been the subject of debate and controversy. Genetic studies have long been regarded as a key resource for validating the boundaries among diagnostic categories. Genetic epidemiologic studies have documented the familiality and heritability of clinically defined psychiatric disorders and molecular genetic studies have begun to identify specific susceptibility variants. At the same time, there is growing evidence from family, twin and genomic studies that genetic influences on psychiatric disorders transcend clinical boundaries. Here I review this evidence for cross-disorder genetic effects and discuss the implications of these findings for psychiatric nosology. Psychiatric genetic research can inform a bottom-up reappraisal of psychopathology that may help the field move beyond a purely descriptive classification and toward an etiology-based nosology.
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Affiliation(s)
- Jordan W Smoller
- Psychiatric and Neurodevelopmental Genetics Unit and Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
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46
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Martin AK, Robinson G, Dzafic I, Reutens D, Mowry B. Theory of mind and the social brain: implications for understanding the genetic basis of schizophrenia. GENES BRAIN AND BEHAVIOR 2013; 13:104-17. [DOI: 10.1111/gbb.12066] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Revised: 07/22/2013] [Accepted: 07/28/2013] [Indexed: 02/03/2023]
Affiliation(s)
- A. K. Martin
- Queensland Brain Institute; University of Queensland; Brisbane QLD Australia
| | - G. Robinson
- School of Psychology; University of Queensland; Brisbane QLD Australia
| | - I. Dzafic
- Queensland Brain Institute; University of Queensland; Brisbane QLD Australia
| | - D. Reutens
- Centre for Advanced Imaging; University of Queensland; Brisbane QLD Australia
| | - B. Mowry
- Queensland Brain Institute; University of Queensland; Brisbane QLD Australia
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Schwab SG, Kusumawardhani AAAA, Dai N, Qin W, Wildenauer MDB, Agiananda F, Amir N, Antoni R, Arsianti T, Asmarahadi A, Diatri H, Djatmiko P, Irmansyah I, Khalimah S, Kusumadewi I, Kusumaningrum P, Lukman PR, Mustar L, Nasrun MW, Naswati S, Prasetiyawan P, Semen GM, Siste K, Tobing H, Widiasih N, Wiguna T, Wulandari WD, Benyamin B, Wildenauer DB. Association of rs1344706 in the ZNF804A gene with schizophrenia in a case/control sample from Indonesia. Schizophr Res 2013; 147:46-52. [PMID: 23590871 DOI: 10.1016/j.schres.2013.03.022] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2012] [Revised: 02/26/2013] [Accepted: 03/18/2013] [Indexed: 12/29/2022]
Abstract
BACKGROUND Association of rs1344706 in the ZNF804A gene (2q32.1) with schizophrenia was first reported in a genome wide scan conducted in a sample of 479 cases and replicated in 6666 cases. Subsequently, evidence by replication was obtained in several samples with European- and Asian ancestral background. METHODS We report ascertainment, clinical characterization, quality control, and determination of ancestral background of a case control sample from Indonesia, comprising 1067 cases and 1111 ancestry matched controls. Genotyping was performed using a fluorescence-based allelic discrimination assay (TaqMan SNP genotyping assay) and a newly designed PCR-RFLP assay for confirmation of rs1344706 genotypes. RESULTS We confirmed association of the T-allele of rs1344706 with schizophrenia in a newly ascertained sample from Indonesia with Southeast Asian ancestral background (P=0.019, OR=1.155, 95%, CI 1.025-1.301). In addition, we studied several SNPs in the vicinity of rs1344706, for which nominally significant results had been reported. None of the association P values of the additional SNPs exceeded that of rs1344706. CONCLUSION We provide additional evidence for association of the ZNF804A gene with schizophrenia. We conclude that rs1344706 or a yet unknown polymorphism in linkage disequilibrium is also involved in conferring susceptibility to schizophrenia in samples with different (Asian) ancestral backgrounds.
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Affiliation(s)
- Sibylle G Schwab
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
| | | | - Nan Dai
- Western Australian Institute for Medical Research & Centre for Medical Research, University of Western Australia, Nedlands, Australia; School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, Australia
| | - WenWen Qin
- Western Australian Institute for Medical Research & Centre for Medical Research, University of Western Australia, Nedlands, Australia; School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, Australia
| | - Mutiara D B Wildenauer
- Western Australian Institute for Medical Research & Centre for Medical Research, University of Western Australia, Nedlands, Australia; School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, Australia
| | | | - Nurmiati Amir
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Ronald Antoni
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Tiana Arsianti
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | | | - Hervita Diatri
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Prianto Djatmiko
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | | | - Siti Khalimah
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Irmia Kusumadewi
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | | | - Petrin R Lukman
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Lukman Mustar
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Martina W Nasrun
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Safyuni Naswati
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | | | - Gerald M Semen
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Kristiana Siste
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Heriani Tobing
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Natalia Widiasih
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - Tjhin Wiguna
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | | | | | - Beben Benyamin
- Queensland Brain Institute, University of Queensland, St. Lucia, Australia
| | - Dieter B Wildenauer
- Western Australian Institute for Medical Research & Centre for Medical Research, University of Western Australia, Nedlands, Australia; School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, Australia; Centre for Clinical Research in Neuropsychiatry, Graylands Hospital, Claremont, Australia
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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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Zhang JP, Malhotra AK. Genetics of schizophrenia: What do we know? CURRENT PSYCHIATRY 2013; 12:24-33. [PMID: 24443645 PMCID: PMC3892949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Affiliation(s)
- Jian-Ping Zhang
- Attending Psychiatrist The Zucker Hillside Hospital Glen Oaks, NY Assistant Investigator, Center for Psychiatric Neuroscience Feinstein Institute of Medical Research North Shore-Long Island Jewish (LIJ) Health System Manhasset, NY
| | - Anil K Malhotra
- Director, Division of Psychiatry Research The Zucker Hillside Hospital Glen Oaks, NY Investigator, Center for Psychiatric Neuroscience Feinstein Institute for Medical Research Manhasset, NY Professor of Psychiatry and Molecular Medicine Hofstra North Shore-LIJ School of Medicine Hempstead, NY
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Van Den Bossche MJA, Docx L, Morrens M, Cammaerts S, Strazisar M, Bervoets C, Smolders S, Depreeuw V, Lenaerts AS, De Rijk P, Del-Favero J, Sabbe BGC. Less cognitive and neurological deficits in schizophrenia patients carrying risk variant in ZNF804A. Neuropsychobiology 2013; 66:158-66. [PMID: 22948380 DOI: 10.1159/000339731] [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] [Received: 03/15/2012] [Accepted: 05/24/2012] [Indexed: 12/17/2022]
Abstract
BACKGROUND The rs1344706 single nucleotide polymorphism in the ZNF804A gene is a common variant with strong evidence for association with schizophrenia. Recent studies show an association of rs1344706 with cognitive functioning, and there is some evidence suggesting that the risk allele may increase susceptibility for a subtype of schizophrenia with relatively spared cognition. METHODS We tested the effect of rs1344706 genotype in 89 schizophrenia patients on 3 basic cognitive domains (working memory, processing speed and attention) shown to be severely impaired in schizophrenia. Also we investigated the effect of rs1344706 on the severity of neurological soft signs, subtle impairments in motor and sensory functions highly frequent in schizophrenia patients. Neurological soft signs and cognitive deficits are central features of schizophrenia and are tightly linked with clinical, social and functional outcome. RESULTS Our results show an association of higher rs1344706 risk allele load with improved performance on processing speed and with fewer neurological soft signs. CONCLUSIONS Together with other studies, our findings suggest that ZNF804A is associated with a subtype of schizophrenia with better cognitive and neurological functioning. Discovery of the specific pathways through which ZNF804A is exerting this effect may lead to better prevention, diagnosis and treatment for a specific group of schizophrenia patients.
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Affiliation(s)
- Maarten J A Van Den Bossche
- Applied Molecular Genomics Group, VIB Department of Molecular Genetics, University of Antwerp, Antwerp, Belgium
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