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Roos JL, Kotzé C. Early deviant behaviour as a dimension trait and endophenotype in schizophrenia. S Afr J Psychiatr 2022; 28:1747. [PMID: 35547101 PMCID: PMC9082214 DOI: 10.4102/sajpsychiatry.v28i0.1747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 02/07/2022] [Indexed: 11/12/2022] Open
Abstract
Background In psychiatry, there is still a lack of objective biological diagnostic measurements. It is important to investigate measurements or symptom dimensions that can inform diagnostic assessments and allow for a more personalised approach to patients. Aim To discuss how early deviant behaviour (EDB) may be seen as a possible continuous symptom dimension trait and endophenotype in schizophrenia. Methods Conducting a commentary review by highlighting some important findings from available literature. Results Findings regarding EDB in schizophrenia in a South African genetic sample point towards EDB as a progressive subtype of schizophrenia, with very early onset of illness (even prior to the psychotic symptomatology) and a genetic form of illness. Conclusion Valuable information can be gained by enquiring into EDB and viewing it as a continuous symptom dimension trait and endophenotype during the psychiatric diagnostic interview.
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Affiliation(s)
- Johannes L Roos
- Department of Psychiatry, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- Weskoppies Psychiatric Hospital, Pretoria, South Africa
| | - Carla Kotzé
- Department of Psychiatry, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- Weskoppies Psychiatric Hospital, Pretoria, South Africa
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2
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Engelbrecht HR, Dalvie S, Agenbag G, Stein DJ, Ramesar RS. Whole-exome sequencing in an Afrikaner family with bipolar disorder. J Affect Disord 2020; 276:69-75. [PMID: 32697718 DOI: 10.1016/j.jad.2020.06.045] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 06/04/2020] [Accepted: 06/16/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Bipolar disorder (BD) has considerable heritability, with genome-wide association studies indicating that multiple common genetic variants contribute to risk. Less work has been undertaken to assess the contribution of rare variation in the development of this complex disorder, particularly in isolated populations. Using whole-exome sequencing (WES), the aim of this study was to identify rare, potentially damaging variants contributing to risk for BD in the Afrikaner population. METHODS WES was performed on eight Afrikaner family members, five affected and three unaffected. The analyses focused on i) the identification of rare, damaging variation, and ii) the molecular pathways in which these rare variants play a role using in silico prediction tools such as wANNOVAR and KOBAS 3.0. RESULTS Two rare and potentially damaging missense variants in FAM71B and SLC26A9 were shared by affected family members but were absent in unaffected members. In addition, variants in genes that play a role in pathways involved in signal transduction and synaptic transmission were shared by the five affected individuals. LIMITATIONS Two main limitations affect this study: the limited number of cases and controls, and the fact that whole-exome sequencing can only capture a small fragment of the genome which may harbor mutations. CONCLUSION This is the first WES study of BD in an Afrikaner family, and findings suggest that novel candidate genes may contribute to risk for BD in this population. Future work in larger samples of this population as well as in other populations is needed to fully investigate the role of the candidate genes found here.
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Affiliation(s)
- Hannah-Ruth Engelbrecht
- SA MRC Research Unit for Genomic and Precision Medicine, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Observatory, 7925.
| | - Shareefa Dalvie
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town.
| | - Gloudi Agenbag
- SA MRC Research Unit for Genomic and Precision Medicine, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Observatory, 7925.
| | - Dan J Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town.
| | - Raj S Ramesar
- SA MRC Research Unit for Genomic and Precision Medicine, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Observatory, 7925.
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van der Merwe NJ, Karayiorgou M, Ehlers R, Roos JL. Family history identifies sporadic schizoaffective disorder as a subtype for genetic studies. S Afr J Psychiatr 2020; 26:1393. [PMID: 32391182 PMCID: PMC7203531 DOI: 10.4102/sajpsychiatry.v26i0.1393] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 12/19/2019] [Indexed: 01/07/2023] Open
Abstract
Background Schizophrenia is a heterogeneous disorder with strong genetic vulnerability. Family history of schizophrenia has been considered in genetic studies under several models. De novo genetic events seem to play a larger role in sporadic cases. Aim This study used the familial–sporadic distinction with the aim of identifying a more homogeneous phenotype to delineate the genetic and clinical complexity of schizophrenia. Setting The study was conducted at Weskoppies Hospital, Pretoria, South Africa. Methods The study included 384 participants with schizophrenia or schizoaffective disorder from the Afrikaner founder population in South Africa who are considered comparable to Caucasian patients from the United States. A comprehensive data capturing sheet was completed. Results When schizophrenia and schizoaffective disorder diagnoses were considered jointly, we found no significant differences between the sporadic and the familial groups for age at disease onset, season of birth, comorbid diagnoses, clinical symptomatology, history of suicide or marital status. When the diagnoses were examined separately, however, the sporadic schizoaffective disorder, bipolar type, was found to have a significantly lower age at onset (mean 20.6 vs. 25.3 years). Conclusion The sporadic schizoaffective disorder, bipolar type, forms a more homogeneous subgroup for genetic studies.
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Affiliation(s)
- Nicolaas J van der Merwe
- Department of Psychiatry, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Maria Karayiorgou
- Department of Psychiatry, Columbia University, New York, United States.,New York State Psychiatric Institute, New York, United States
| | - René Ehlers
- Department of Statistics, Faculty of Natural and Agricultural Sciences, University of Pretoria, Pretoria, South Africa
| | - Johannes L Roos
- Department of Psychiatry, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
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Agostini G, Holt BM, Relethford JH. Bone functional adaptation does not erase neutral evolutionary information. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2018; 166:708-729. [DOI: 10.1002/ajpa.23460] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 02/26/2018] [Accepted: 03/01/2018] [Indexed: 12/15/2022]
Affiliation(s)
- Gina Agostini
- Mayo Clinic/ASU Obesity Solutions, School of Human Evolution and Social ChangeArizona State UniversityTempe Arizona
| | - Brigitte M. Holt
- Department of AnthropologyUniversity of Massachusetts AmherstAmherst Massachusetts
| | - John H. Relethford
- Department of AnthropologyState University of New York at OneontaOneonta New York
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5
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Malherbe PJ, Karayiorgou M, Ehlers R, Roos JL. Increased risk of suicide in schizophrenia patients with linkage to chromosome 13q. Psychiatry Res 2017; 251:34-35. [PMID: 28189075 DOI: 10.1016/j.psychres.2017.02.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2016] [Revised: 01/09/2017] [Accepted: 02/04/2017] [Indexed: 02/07/2023]
Abstract
We link schizophrenia in families from the genetically isolated South African Afrikaner population to chromosome 13q (n =51), 1p (n =23) and combined 13q & 1p (n =18). Patients with linkages to chromosome 13q were 4.16 times more likely to meet diagnostic criteria for schizoaffective disorder compared to patients with linkage to 1p. A third of patients with linkage to both 13q &1p met diagnostic criteria for SAD. There was a significant positive relationship between suicidality and a diagnosis of schizoaffective disorder. Identifying linkage to chromosome 13q may be informative in identifying suicide risk early and prevent morbidity and mortality in schizophrenia patients.
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Affiliation(s)
- P J Malherbe
- Department of Psychiatry, University of Pretoria, South Africa.
| | - M Karayiorgou
- Neurogenetics Laboratory, Department of Psychiatry, University of Columbia, New York
| | - R Ehlers
- Department of Statistics, University of Pretoria, South Africa
| | - J L Roos
- Department of Psychiatry, University of Pretoria, South Africa
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6
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Liebenberg R, van Heerden B, Ehlers R, Du Plessis AME, Roos JL. Advancing paternal age at birth is associated with poorer social functioning earlier and later in life of schizophrenia patients in a founder population. Psychiatry Res 2016; 243:185-90. [PMID: 27416538 DOI: 10.1016/j.psychres.2016.06.045] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 04/26/2016] [Accepted: 06/25/2016] [Indexed: 10/21/2022]
Abstract
Consistent associations have been found between advanced paternal age and an increased risk of psychiatric disorders, such as schizophrenia, in their offspring. This increase appears to be linear as paternal age increases. The present study investigates the relationship between early deviant behaviour in the first 10 years of life of patients as well as longer term functional outcome and paternal age in sporadic Afrikaner founder population cases of schizophrenia. This might improve our understanding of Paternal Age-Related Schizophrenia (PARS). Follow-up psychiatric diagnoses were confirmed by the Diagnostic Interview for Genetic Studies (DIGS). An early deviant childhood behaviour semi-structured questionnaire and the Specific Level of Functioning Assessment (SLOF) were completed. From the logistic regression models fitted, a significant negative relationship was found between paternal age at birth and social dysfunction as early deviant behaviour. Additionally, regression analysis revealed a significant negative relationship between paternal age at birth and the SLOF for interpersonal relationships later in life. Early social dysfunction may represent a phenotypic trait for PARS. Further research is required to understand the relationship between early social dysfunction and deficits in interpersonal relationships later in life.
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Affiliation(s)
- Rudolf Liebenberg
- Department of Psychiatry, University of Pretoria, Weskoppies Hospital, Private Bag X113, Pretoria 0001, South Africa
| | - Brigitte van Heerden
- Department of Psychiatry, University of Pretoria, Weskoppies Hospital, Private Bag X113, Pretoria 0001, South Africa.
| | - René Ehlers
- Department of Statistics, University of Pretoria, Pretoria, South Africa
| | - Anna M E Du Plessis
- Department of Psychiatry, University of Pretoria, Weskoppies Hospital, Private Bag X113, Pretoria 0001, South Africa
| | - J Louw Roos
- Department of Psychiatry, University of Pretoria, Weskoppies Hospital, Private Bag X113, Pretoria 0001, South Africa
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7
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Malherbe PJ, Roos JL, Ehlers R, Karayiorgou M, Roos JL. Phenotypic features of patients with schizophrenia carrying de novo gene mutations: a pilot study. Psychiatry Res 2015; 225:108-114. [PMID: 25467704 DOI: 10.1016/j.psychres.2014.10.024] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2014] [Revised: 09/17/2014] [Accepted: 10/29/2014] [Indexed: 12/20/2022]
Abstract
Genome-wide scans have revealed a significant role for de novo copy number variants (CNVs) and Single Nucleotide variants (SNVs) in the genetic architecture of schizophrenia. The present study attempts to parse schizophrenia based on the presence of such de novo mutations and attempts genotype-phenotype correlation. We examined phenotypic variables across three broad categories: clinical presentation, premorbid function, disease course and functional outcome and compared them in individuals with schizophrenia carrying either a de novo CNV, a de novo SNV, or no de novo mutation. Work skills were worst affected in patients carrying de novo CNVs. More learning disabilities were found in subjects carrying de novo SNVs. Patients with either mutation had older parents at birth and worse functional outcome as measured by SLOF scores. We found no relation between treatment resistance and the presence of de novo mutations. The combined consideration of the functional outcome scores and early deviant behaviours was found to have higher predictive value for underlying genetic vulnerability. Due to the rare nature of the de novo mutations the sample sizes studied here were small. Despite this, valuable phenotypic characteristics were identified in schizophrenia patients carrying de novo mutations and studying larger samples will be of interest.
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Affiliation(s)
- P J Malherbe
- Department of Psychiatry, University of Pretoria, Weskoppies Hospital, Private Bag X113, Pretoria 0001, South Africa
| | - J L Roos
- Department of Psychiatry, University of Pretoria, Weskoppies Hospital, Private Bag X113, Pretoria 0001, South Africa
| | - R Ehlers
- Department of Statistics, University of Pretoria, Pretoria, South Africa
| | - M Karayiorgou
- Department of Psychiatry, Columbia University, New York, USA; Extraordinary Professor, University of Pretoria, Pretoria, South Africa
| | - J L Roos
- Department of Psychiatry, University of Pretoria, Weskoppies Hospital, Private Bag X113, Pretoria 0001, South Africa
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Karayannis T, Au E, Patel JC, Kruglikov I, Markx S, Delorme R, Héron D, Salomon D, Glessner J, Restituito S, Gordon A, Rodriguez-Murillo L, Roy NC, Gogos JA, Rudy B, Rice ME, Karayiorgou M, Hakonarson H, Keren B, Huguet G, Bourgeron T, Hoeffer C, Tsien RW, Peles E, Fishell G. Cntnap4 differentially contributes to GABAergic and dopaminergic synaptic transmission. Nature 2014; 511:236-40. [PMID: 24870235 PMCID: PMC4281262 DOI: 10.1038/nature13248] [Citation(s) in RCA: 141] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Accepted: 03/11/2014] [Indexed: 01/08/2023]
Abstract
Although considerable evidence suggests that the chemical synapse is a lynchpin underlying affective disorders, how molecular insults differentially affect specific synaptic connections remains poorly understood. For instance, Neurexin 1a and 2 (NRXN1 and NRXN2) and CNTNAP2 (also known as CASPR2), all members of the neurexin superfamily of transmembrane molecules, have been implicated in neuropsychiatric disorders. However, their loss leads to deficits that have been best characterized with regard to their effect on excitatory cells. Notably, other disease-associated genes such as BDNF and ERBB4 implicate specific interneuron synapses in psychiatric disorders. Consistent with this, cortical interneuron dysfunction has been linked to epilepsy, schizophrenia and autism. Using a microarray screen that focused upon synapse-associated molecules, we identified Cntnap4 (contactin associated protein-like 4, also known as Caspr4) as highly enriched in developing murine interneurons. In this study we show that Cntnap4 is localized presynaptically and its loss leads to a reduction in the output of cortical parvalbumin (PV)-positive GABAergic (γ-aminobutyric acid producing) basket cells. Paradoxically, the loss of Cntnap4 augments midbrain dopaminergic release in the nucleus accumbens. In Cntnap4 mutant mice, synaptic defects in these disease-relevant neuronal populations are mirrored by sensory-motor gating and grooming endophenotypes; these symptoms could be pharmacologically reversed, providing promise for therapeutic intervention in psychiatric disorders.
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9
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Rodriguez-Murillo L, Xu B, Roos JL, Abecasis GR, Gogos JA, Karayiorgou M. Fine mapping on chromosome 13q32-34 and brain expression analysis implicates MYO16 in schizophrenia. Neuropsychopharmacology 2014; 39:934-43. [PMID: 24141571 PMCID: PMC3924527 DOI: 10.1038/npp.2013.293] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Revised: 09/19/2013] [Accepted: 09/20/2013] [Indexed: 12/30/2022]
Abstract
We previously reported linkage of schizophrenia and schizoaffective disorder to 13q32-34 in the European descent Afrikaner population from South Africa. The nature of genetic variation underlying linkage peaks in psychiatric disorders remains largely unknown and both rare and common variants may be contributing. Here, we examine the contribution of common variants located under the 13q32-34 linkage region. We used densely spaced SNPs to fine map the linkage peak region using both a discovery sample of 415 families and a meta-analysis incorporating two additional replication family samples. In a second phase of the study, we use one family-based data set with 237 families and independent case-control data sets for fine mapping of the common variant association signal using HapMap SNPs. We report a significant association with a genetic variant (rs9583277) within the gene encoding for the myosin heavy-chain Myr 8 (MYO16), which has been implicated in neuronal phosphoinositide 3-kinase signaling. Follow-up analysis of HapMap variation within MYO16 in a second set of Afrikaner families and additional case-control data sets of European descent highlighted a region across introns 2-6 as the most likely region to harbor common MYO16 risk variants. Expression analysis revealed a significant increase in the level of MYO16 expression in the brains of schizophrenia patients. Our results suggest that common variation within MYO16 may contribute to the genetic liability to schizophrenia.
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Affiliation(s)
| | - Bin Xu
- Department of Psychiatry, Columbia University, New York, NY, USA
- Department of Physiology, Columbia University, New York, NY, USA
| | - J Louw Roos
- Department of Psychiatry and Weskoppies Hospital, University of Pretoria, Pretoria, South Africa
| | - Gonçalo R Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Joseph A Gogos
- Department of Physiology, Columbia University, New York, NY, USA
- Department of Neuroscience, Columbia University, New York, NY, USA
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10
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Greeff JM, Greeff FA, Greeff AS, Rinken L, Welgemoed DJ, Harris Y. Low nonpaternity rate in an old Afrikaner family. EVOL HUM BEHAV 2012. [DOI: 10.1016/j.evolhumbehav.2011.10.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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11
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Xu B, Roos JL, Dexheimer P, Boone B, Plummer B, Levy S, Gogos JA, Karayiorgou M. Exome sequencing supports a de novo mutational paradigm for schizophrenia. Nat Genet 2011; 43:864-8. [PMID: 21822266 PMCID: PMC3196550 DOI: 10.1038/ng.902] [Citation(s) in RCA: 343] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2011] [Accepted: 07/12/2011] [Indexed: 02/08/2023]
Abstract
Despite high heritability, a large fraction of cases with schizophrenia do not have a family history of the disease (sporadic cases). Here, we examine the possibility that rare de novo protein-altering mutations contribute to the genetic component of schizophrenia by sequencing the exome of 53 sporadic cases, 22 unaffected controls and their parents. We identified 40 de novo mutations in 27 patients affecting 40 genes including a potentially disruptive mutation in DGCR2, a gene removed by the recurrent schizophrenia-predisposing 22q11.2 microdeletion. Comparison to rare inherited variants revealed that the identified de novo mutations show a large excess of nonsynonymous changes in cases, as well as a greater potential to affect protein structure and function. Our analysis reveals a major role of de novo mutations in schizophrenia and also a large mutational target, which together provide a plausible explanation for the high global incidence and persistence of the disease.
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Affiliation(s)
- Bin Xu
- Department of Psychiatry, Columbia University, New York, New York, USA
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12
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Ribbe K, Friedrichs H, Begemann M, Grube S, Papiol S, Kästner A, Gerchen MF, Ackermann V, Tarami A, Treitz A, Flögel M, Adler L, Aldenhoff JB, Becker-Emner M, Becker T, Czernik A, Dose M, Folkerts H, Freese R, Günther R, Herpertz S, Hesse D, Kruse G, Kunze H, Franz M, Löhrer F, Maier W, Mielke A, Müller-Isberner R, Oestereich C, Pajonk FG, Pollmächer T, Schneider U, Schwarz HJ, Kröner-Herwig B, Havemann-Reinecke U, Frahm J, Stühmer W, Falkai P, Brose N, Nave KA, Ehrenreich H. The cross-sectional GRAS sample: a comprehensive phenotypical data collection of schizophrenic patients. BMC Psychiatry 2010; 10:91. [PMID: 21067598 PMCID: PMC3002316 DOI: 10.1186/1471-244x-10-91] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2010] [Accepted: 11/10/2010] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Schizophrenia is the collective term for an exclusively clinically diagnosed, heterogeneous group of mental disorders with still obscure biological roots. Based on the assumption that valuable information about relevant genetic and environmental disease mechanisms can be obtained by association studies on patient cohorts of ≥ 1000 patients, if performed on detailed clinical datasets and quantifiable biological readouts, we generated a new schizophrenia data base, the GRAS (Göttingen Research Association for Schizophrenia) data collection. GRAS is the necessary ground to study genetic causes of the schizophrenic phenotype in a 'phenotype-based genetic association study' (PGAS). This approach is different from and complementary to the genome-wide association studies (GWAS) on schizophrenia. METHODS For this purpose, 1085 patients were recruited between 2005 and 2010 by an invariable team of traveling investigators in a cross-sectional field study that comprised 23 German psychiatric hospitals. Additionally, chart records and discharge letters of all patients were collected. RESULTS The corresponding dataset extracted and presented in form of an overview here, comprises biographic information, disease history, medication including side effects, and results of comprehensive cross-sectional psychopathological, neuropsychological, and neurological examinations. With >3000 data points per schizophrenic subject, this data base of living patients, who are also accessible for follow-up studies, provides a wide-ranging and standardized phenotype characterization of as yet unprecedented detail. CONCLUSIONS The GRAS data base will serve as prerequisite for PGAS, a novel approach to better understanding 'the schizophrenias' through exploring the contribution of genetic variation to the schizophrenic phenotypes.
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Affiliation(s)
- Katja Ribbe
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Heidi Friedrichs
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Martin Begemann
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Sabrina Grube
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Sergi Papiol
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany,DFG Research Center for Molecular Physiology of the Brain (CMPB), Germany
| | - Anne Kästner
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Martin F Gerchen
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Verena Ackermann
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Asieh Tarami
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Annika Treitz
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Marlene Flögel
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Lothar Adler
- Department of Psychiatry and Psychotherapy, Ecumenical Hospital Hainich, Germany
| | - Josef B Aldenhoff
- Hospital of Psychiatry and Psychotherapy, Center for Integrative Psychiatry, Kiel, Germany
| | - Marianne Becker-Emner
- Karl-Jaspers-Hospital, Psychiatric Federation Oldenburger Land, Bad Zwischenahn, Germany
| | - Thomas Becker
- Department of Psychiatry II, Ulm University, District Hospital Günzburg, Germany
| | - Adelheid Czernik
- Department of Psychiatry and Psychotherapy, Hospital Fulda, Germany
| | - Matthias Dose
- Department of Psychiatry and Psychotherapy, Isar-Amper-Hospital, Taufkirchen (Vils), Germany
| | - Here Folkerts
- Department of Psychiatry and Psychotherapy, Reinhard-Nieter Hospital, Wilhelmshaven, Germany
| | - Roland Freese
- Vitos Hospital of Forensic Psychiatry Eltville, Eltville, Germany
| | - Rolf Günther
- Vitos Hospital of Psychiatry and Psychotherapy Merxhausen, Kassel, Germany
| | - Sabine Herpertz
- Department of Psychiatry and Psychotherapy, University of Rostock, Germany
| | - Dirk Hesse
- Hospital of Forensic Psychiatry, Moringen, Germany
| | - Gunther Kruse
- Hospital of Psychiatry and Psychotherapy Langenhagen, Regional Hospitals Hannover, Germany
| | - Heinrich Kunze
- Vitos Hospital of Psychiatry and Psychotherapy, Bad Emstal-Merxhausen, Germany
| | - Michael Franz
- Vitos Hospital of Psychiatry and Psychotherapy, Bad Emstal-Merxhausen, Germany
| | - Frank Löhrer
- Addiction Hospital "Am Waldsee", Rieden, Germany
| | - Wolfgang Maier
- Department of Psychiatry and Psychotherapy, University Medical Center of Bonn, Germany
| | - Andreas Mielke
- Vitos Hospital of Psychiatry and Psychotherapy Merxhausen, Hofgeismar, Germany
| | | | - Cornelia Oestereich
- Department of Psychiatry and Psychotherapy, Regional Hospitals Hannover, Wunstorf, Germany
| | | | - Thomas Pollmächer
- Department of Psychiatry and Psychotherapy, Hospital Ingolstadt, Germany
| | - Udo Schneider
- Department of Psychiatry and Psychotherapy, Hospital Lübbecke, Germany
| | | | | | - Ursula Havemann-Reinecke
- Department of Psychiatry and Psychotherapy, University Medical Center of Göttingen, Germany,DFG Research Center for Molecular Physiology of the Brain (CMPB), Germany
| | - Jens Frahm
- Biomedical NMR Research GmbH, Max Planck Institute of Biophysical Chemistry, Göttingen, Germany,DFG Research Center for Molecular Physiology of the Brain (CMPB), Germany,Founders of the GRAS Initiative
| | - Walter Stühmer
- Department of Molecular Biology of Neuronal Signals, Max Planck Institute of Experimental Medicine, Göttingen, Germany,DFG Research Center for Molecular Physiology of the Brain (CMPB), Germany,Founders of the GRAS Initiative
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Medical Center of Göttingen, Germany,DFG Research Center for Molecular Physiology of the Brain (CMPB), Germany,Founders of the GRAS Initiative
| | - Nils Brose
- Department of Molecular Neurobiology, Max Planck Institute of Experimental Medicine, Göttingen, Germany,DFG Research Center for Molecular Physiology of the Brain (CMPB), Germany,Founders of the GRAS Initiative
| | - Klaus-Armin Nave
- Department of Neurogenetics, Max Planck Institute of Experimental Medicine, Göttingen, Germany,DFG Research Center for Molecular Physiology of the Brain (CMPB), Germany,Founders of the GRAS Initiative
| | - Hannelore Ehrenreich
- Division of Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany,DFG Research Center for Molecular Physiology of the Brain (CMPB), Germany,Founders of the GRAS Initiative
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Elucidating the genetic architecture of familial schizophrenia using rare copy number variant and linkage scans. Proc Natl Acad Sci U S A 2009; 106:16746-51. [PMID: 19805367 DOI: 10.1073/pnas.0908584106] [Citation(s) in RCA: 111] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
To elucidate the genetic architecture of familial schizophrenia we combine linkage analysis with studies of fine-level chromosomal variation in families recruited from the Afrikaner population in South Africa. We demonstrate that individually rare inherited copy number variants (CNVs) are more frequent in cases with familial schizophrenia as compared to unaffected controls and affect almost exclusively genic regions. Interestingly, we find that while the prevalence of rare structural variants is similar in familial and sporadic cases, the type of variants is markedly different. In addition, using a high-density linkage scan with a panel of nearly 2,000 markers, we identify a region on chromosome 13q34 that shows genome-wide significant linkage to schizophrenia and show that in the families not linked to this locus, there is evidence for linkage to chromosome 1p36. No causative CNVs were identified in either locus. Overall, our results from approaches designed to detect risk variants with relatively low frequency and high penetrance in a well-defined and relatively homogeneous population, provide strong empirical evidence supporting the notion that multiple genetic variants, including individually rare ones, that affect many different genes contribute to the genetic risk of familial schizophrenia. They also highlight differences in the genetic architecture of the familial and sporadic forms of the disease.
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Roos JL, Pretorius HW, Karayiorgou M. Clinical Characteristics of an Afrikaner Founder Population Recruited for a Schizophrenia Genetic Study. Ann N Y Acad Sci 2008; 1151:85-101. [DOI: 10.1111/j.1749-6632.2008.03453.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Hsu R, Woodroffe A, Lai WS, Cook MN, Mukai J, Dunning JP, Swanson DJ, Roos JL, Abecasis GR, Karayiorgou M, Gogos JA. Nogo Receptor 1 (RTN4R) as a candidate gene for schizophrenia: analysis using human and mouse genetic approaches. PLoS One 2007; 2:e1234. [PMID: 18043741 PMCID: PMC2077930 DOI: 10.1371/journal.pone.0001234] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2007] [Accepted: 11/01/2007] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND NOGO Receptor 1 (RTN4R) regulates axonal growth, as well as axon regeneration after injury. The gene maps to the 22q11.2 schizophrenia susceptibility locus and is thus a strong functional and positional candidate gene. METHODOLOGY/PRINCIPAL FINDINGS We evaluate evidence for genetic association between common RTN4R polymorphisms and schizophrenia in a large family sample of Afrikaner origin and screen the exonic sequence of RTN4R for rare variants in an independent sample from the U.S. We also employ animal model studies to assay a panel of schizophrenia-related behavioral tasks in an Rtn4r-deficient mouse model. We found weak sex-specific evidence for association between common RTN4R polymorphisms and schizophrenia in the Afrikaner patients. In the U.S. sample, we identified two novel non-conservative RTN4R coding variants in two patients with schizophrenia that were absent in 600 control chromosomes. In our complementary mouse model studies, we identified a haploinsufficient effect of Rtn4r on locomotor activity, but normal performance in schizophrenia-related behavioral tasks. We also provide evidence that Rtn4r deficiency can modulate the long-term behavioral effects of transient postnatal N-methyl-D-aspartate (NMDA) receptor hypofunction. CONCLUSIONS Our results do not support a major role of RTN4R in susceptibility to schizophrenia or the cognitive and behavioral deficits observed in individuals with 22q11 microdeletions. However, they suggest that RTN4R may modulate the genetic risk or clinical expression of schizophrenia in a subset of patients and identify additional studies that will be necessary to clarify the role of RTN4R in psychiatric phenotypes. In addition, our results raise interesting issues about evaluating the significance of rare genetic variants in disease and their role in causation.
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Affiliation(s)
- Ruby Hsu
- Department of Neuroscience, Columbia University, New York, New York, United States of America
| | - Abigail Woodroffe
- Department of Epidemiology, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Wen-Sung Lai
- Department of Physiology and Cellular Biophysics, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
| | - Melloni N. Cook
- Department of Psychology, The University of Memphis, Memphis, Tennessee, United States of America
| | - Jun Mukai
- Department of Physiology and Cellular Biophysics, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
| | - Jonathan P. Dunning
- Department of Psychology, The University of Memphis, Memphis, Tennessee, United States of America
| | - Douglas J. Swanson
- Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - J. Louw Roos
- Department of Psychiatry, University of Pretoria and Weskoppies Hospital, Pretoria, Republic of South Africa
| | - Gonçalo R. Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Maria Karayiorgou
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- * To whom correspondence should be addressed. E-mail: (MK); (JG)
| | - Joseph A. Gogos
- Department of Neuroscience, Columbia University, New York, New York, United States of America
- Department of Physiology and Cellular Biophysics, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- * To whom correspondence should be addressed. E-mail: (MK); (JG)
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Abstract
It is often assumed that Afrikaners stem from a small number of Dutch immigrants. As a result they should be genetically homogeneous, show founder effects and be rather inbred. By disentangling my own South African pedigree, that is on average 12 generations deep, I try to quantify the genetic heritage of an Afrikaner. As much as 6% of my genes have been contributed by slaves from Africa, Madagascar and India, and a woman from China. This figure compares well to other genetic and genealogical estimates. Seventy three percent of my lineages coalesce into common founders, and I am related in excess of 10 times to 20 founder ancestors (30 times to Willem Schalk van der Merwe). Significant founder effects are thus possible. The overrepresentation of certain founder ancestors is in part explained by the fact that they had more children. This is remarkable given that they lived more than 300 years (or 12 generations) ago. DECONSTRUCT, a new program for pedigree analysis, identified 125 common ancestors in my pedigree. However, these common ancestors are so distant from myself, paths of between 16 and 25 steps in length, that my inbreeding coefficient is not unusually high (f approximately 0.0019).
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Affiliation(s)
- J M Greeff
- Department of Genetics, University of Pretoria, Pretoria 0002, South Africa.
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Stankovich J, Bahlo M, Rubio JP, Wilkinson CR, Thomson R, Banks A, Ring M, Foote SJ, Speed TP. Identifying nineteenth century genealogical links from genotypes. Hum Genet 2005; 117:188-99. [PMID: 15883841 DOI: 10.1007/s00439-005-1279-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2004] [Accepted: 01/24/2005] [Indexed: 11/29/2022]
Abstract
We have developed a likelihood method to identify moderately distant genealogical relationships from genomewide scan data. The aim is to compare the genotypes of many pairs of people and identify those pairs most likely to be related to one another. We have tested the algorithm using the genotypes of 170 Tasmanians with multiple sclerosis recruited into a haplotype association study. It is estimated from genealogical records that approximately 65% of Tasmania's current population of 470,000 are direct descendants of the 13,000 female founders living in this island state of Australia in the mid-nineteenth century. All cases and four to five relatives of each case have been genotyped with microsatellite markers at a genomewide average density of 4 cM. Previous genealogical research has identified 51 pairwise relationships linking 56 of the 170 cases. Testing the likelihood calculation on these known relative pairs, we have good power to identify relationships up to degree eight (e.g. third cousins once removed). Applying the algorithm to all other pairs of cases, we have identified a further 61 putative relative pairs, with an estimated false discovery rate of 10%. The power to identify genealogical links should increase when the new, denser sets of SNP markers are used. Except in populations where there is a searchable electronic database containing virtually all genealogical links in the past six generations, the algorithm should be a useful aid for genealogists working on gene-mapping projects, both linkage studies and association studies.
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Affiliation(s)
- Jim Stankovich
- Division of Genetics and Bioinformatics, Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Victoria 3050, Australia.
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Hall D, Gogos JA, Karayiorgou M. The contribution of three strong candidate schizophrenia susceptibility genes in demographically distinct populations. GENES BRAIN AND BEHAVIOR 2004; 3:240-8. [PMID: 15248869 DOI: 10.1111/j.1601-183x.2004.00078.x] [Citation(s) in RCA: 87] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Here we characterize and compare the contribution of three recently identified strong candidate schizophrenia susceptibility genes; G72, neuregulin 1 (NRG1) and dystrobrevin-binding protein 1 (DTNBP1) in two independent datasets of patients with distinct genetic backgrounds. On the basis of corrected P-values from single- and multilocus transmission distortion tests our analysis provides no support for a contribution of G72, NRG1 or DTNBP1 in the tested samples. When transmission of individual haplotypes was considered, a picture more consistent with the original studies emerged, where transmission distortions in the same direction as the original samples and involving the same core haplotypes were observed for G72 and NRG1. Interestingly, whereas the NRG1 gene analysis was dominated by the presence of over-transmitted haplotypes, the G72 gene analysis was consistently dominated in both datasets by under-transmissions. Negative transmissions involved a core haplotype complementary to the originally detected over-transmitted haplotype, suggesting the presence of a protective variant within the G72 locus.
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Affiliation(s)
- D Hall
- The Rockefeller University, Human Neurogenetics Laboratory, New York, NY 10021, USA
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Wiehahn GJ, Bosch GP, du Preez RR, Pretorius HW, Karayiorgou M, Roos JL. Assessment of the frequency of the 22q11 deletion in Afrikaner schizophrenic patients. Am J Med Genet B Neuropsychiatr Genet 2004; 129B:20-2. [PMID: 15274032 DOI: 10.1002/ajmg.b.20168] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
A hemizygous deletion of the q11 band on chromosome 22 occurs in 1 of every 5,950 live births (0.017%). The deletion is mediated by low copy repeats (LCRs) flanking this locus. Presence of the deletion is associated with variable phenotypic expression, which can include distinctive facial dysmorphologies, congenital heart disease and learning disabilities. An unusually high percentage of individuals with this deletion (25-30%) have been described to develop schizophrenia or schizoaffective disorder. In previous studies, the prevalence of the 22q11 deletion in patients with schizophrenia was found to be approximately 2% in Caucasian adults and 6% in childhood-onset cases. Both these frequencies represent a dramatic increase from the prevalence of the deletion in the general population. In this study, we investigate the occurrence of the 22q11 deletion in an independent sample of schizophrenic patients of Afrikaner origin. We first ascertained a sample of 85 patients who meet full diagnostic criteria for schizophrenia for presence of two or more of the clinical features associated with presence of the 22q11 deletion. A group of six patients (7%) met these criteria. This group was subjected to fluorescent in situ hybridization (FISH) and presence of the 22q11 deletion was confirmed for two subjects. Our study therefore confirms the previously reported rate of 2% frequency of the 22q11 deletion in adult schizophrenic patients and provides a two-stage screening protocol to identify these patients.
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Affiliation(s)
- G J Wiehahn
- University of Pretoria Department of Psychiatry & Weskoppies Hospital, Pretoria, Republic of South Africa
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Abecasis GR, Burt RA, Hall D, Bochum S, Doheny KF, Lundy SL, Torrington M, Roos JL, Gogos JA, Karayiorgou M. Genomewide scan in families with schizophrenia from the founder population of Afrikaners reveals evidence for linkage and uniparental disomy on chromosome 1. Am J Hum Genet 2004; 74:403-17. [PMID: 14750073 PMCID: PMC1182255 DOI: 10.1086/381713] [Citation(s) in RCA: 58] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2003] [Accepted: 11/20/2003] [Indexed: 11/04/2022] Open
Abstract
We report on our initial genetic linkage studies of schizophrenia in the genetically isolated population of the Afrikaners from South Africa. A 10-cM genomewide scan was performed on 143 small families, 34 of which were informative for linkage. Using both nonparametric and parametric linkage analyses, we obtained evidence for a small number of disease loci on chromosomes 1, 9, and 13. These results suggest that few genes of substantial effect exist for schizophrenia in the Afrikaner population, consistent with our previous genealogical tracing studies. The locus on chromosome 1 reached genomewide significance levels (nonparametric LOD score of 3.30 at marker D1S1612, corresponding to an empirical P value of.012) and represents a novel susceptibility locus for schizophrenia. In addition to providing evidence for linkage for chromosome 1, we also identified a proband with a uniparental disomy (UPD) of the entire chromosome 1. This is the first time a UPD has been described in a patient with schizophrenia, lending further support to involvement of chromosome 1 in schizophrenia susceptibility in the Afrikaners.
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Affiliation(s)
- Gonçalo R. Abecasis
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
| | - Rachel A. Burt
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
| | - Diana Hall
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
| | - Sylvia Bochum
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
| | - Kimberly F. Doheny
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
| | - S. Laura Lundy
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
| | - Marie Torrington
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
| | - J. Louw Roos
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
| | - Joseph A. Gogos
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
| | - Maria Karayiorgou
- Department of Biostatistics, University of Michigan, Ann Arbor; Human Neurogenetics Laboratory, The Rockefeller University, and Department of Physiology and Cellular Biophysics and Center for Neurobiology and Behavior, College of Physicians and Surgeons, Columbia University, New York; Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore; and University of Pretoria Department of Psychiatry and Weskoppies Hospital, Pretoria
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