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Sun Y, Wen L, Luo YY, Hu WJ, Ren HW, Lv Y, Zhang C, Gao P, Xuan LN, Wang GY, Li CJ, Xiang ZX, Luan ZL. Positive Association of TEAD1 With Schizophrenia in a Northeast Chinese Han Population. Psychiatry Investig 2023; 20:1168-1176. [PMID: 38163656 PMCID: PMC10758319 DOI: 10.30773/pi.2023.0069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 08/02/2023] [Accepted: 09/04/2023] [Indexed: 01/03/2024] Open
Abstract
OBJECTIVE Schizophrenia is a complex and devastating psychiatric disorder with a strong genetic background. However, much uncertainty still exists about the role of genetic susceptibility in the pathophysiology of schizophrenia. TEA domain transcription factor 1 (TEAD1) is a transcription factor associated with neurodevelopment and has modulating effects on various nervous system diseases. In the current study, we performed a case-control association study in a Northeast Chinese Han population to explore the characteristics of pathogenic TEAD1 polymorphisms and potential association with schizophrenia. METHODS We recruited a total of 721 schizophrenia patients and 1,195 healthy controls in this study. The 9 single nucleotide polymorphisms (SNPs) in the gene region of TEAD1 were selected and genotyped. RESULTS The genetic association analyses showed that five SNPs (rs12289262, rs6485989, rs4415740, rs7113256, and rs1866709) were significantly different between schizophrenia patients and healthy controls in allele or/and genotype frequencies. After Bonferroni correction, the association of three SNPs (rs4415740, rs7113256, and rs1866709) with schizophrenia were still evident. Haplotype analysis revealed that two strong linkage disequilibrium blocks (rs6485989-rs4415740-rs7113256 and rs16911710-rs12364619-rs1866709) were globally associated with schizophrenia. Four haplotypes (C-C-C and T-T-T, rs6485989-rs4415740-rs7113256; G-T-A and G-T-G, rs16911710-rs12364619-rs1866709) were significantly different between schizophrenia patients and healthy controls. CONCLUSION The current findings indicated that the human TEAD1 gene has a genetic association with schizophrenia in the Chinese Han population and may act as a susceptibility gene for schizophrenia.
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Affiliation(s)
- Yang Sun
- Department of Psychiatry, Dalian Seventh People’s Hospital, Dalian, China
| | - Lin Wen
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Yi-Yang Luo
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Wen-Juan Hu
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Hui-Wen Ren
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Ye Lv
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Cong Zhang
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Ping Gao
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Li-Na Xuan
- Department of Neurosurgery, Epileptic Center of Liaoning, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Guan-Yu Wang
- Department of Neurosurgery, Epileptic Center of Liaoning, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Cheng-Jie Li
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Zhi-Xin Xiang
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Zhi-Lin Luan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
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Conrad JA. A Black and White History of Psychiatry in the United States. THE JOURNAL OF MEDICAL HUMANITIES 2022; 43:247-266. [PMID: 32857312 DOI: 10.1007/s10912-020-09650-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Histories of psychiatry in the United States can shed light on current areas of need in mental health research and treatment. Often, however, these histories fail to represent accurately the distinct trajectories of psychiatric care among black and white populations, not only homogenizing the historical narrative but failing to account for current disparities in mental health care among these populations. The current paper explores two parallel histories of psychiatry in the United States and the way that these have come to influence current mental health practices. Juxtaposing the development of psychiatric care and understanding as it was provided for, and applied to, black and white populations, a picture of the theoretic foundations of mental health emerges, revealing the separate history that led to the current uneven state of psychiatric care.
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Affiliation(s)
- Jordan A Conrad
- Center for Bioethics, New York University, 715 719 Broadway, New York, NY, 10003, USA.
- Institute of Philosophy Katholiek Universiteit Leuven, Kardinaal Mercierplein 2, BE-3000, Leuven, Belgium.
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Menand E, Moster R. Racial Disparities in the Treatment of Schizophrenia Spectrum Disorders: How Far Have We Come? Curr Behav Neurosci Rep 2021. [DOI: 10.1007/s40473-021-00236-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Vieland VJ, Walters KA, Lehner T, Azaro M, Tobin K, Huang Y, Brzustowicz LM. Revisiting schizophrenia linkage data in the NIMH Repository: reanalysis of regularized data across multiple studies. Am J Psychiatry 2014; 171:350-9. [PMID: 24170318 PMCID: PMC4041610 DOI: 10.1176/appi.ajp.2013.11121766] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE The Combined Analysis of Psychiatric Studies (CAPS) project conducted extensive review and regularization across studies of all schizophrenia linkage data available as of 2011 from the National Institute of Mental Health-funded Center for Collaborative Genomic Studies on Mental Disorders, also known as the Human Genetics Initiative (HGI). The authors reanalyzed the data using statistical methods tailored to accumulation of evidence across multiple, potentially highly heterogeneous, sets of data. METHOD Data were subdivided based on contributing study, major population group, and presence or absence within families of schizophrenia with a substantial affective component. The posterior probability of linkage (PPL) statistical framework was used to sequentially update linkage evidence across these data subsets (omnibus results). RESULTS While some loci previously implicated using the HGI data were also identified in the present omnibus analysis (2q36.1, 15q23), others were not. Several loci were found that had not previously been reported in the HGI samples but are supported by independent linkage or association studies (3q28, 12q23.1, 11p11.2, Xq26.1). Not surprisingly, differences were seen across population groups. Of particular interest are signals on 11p15.3, 11p11.2, and Xq26.1, for which data from families with a substantial affective component support linkage while data from the remaining families provide evidence against linkage. All three of these loci overlap with loci reported in independent studies of bipolar disorder or mixed bipolar-schizophrenia samples. CONCLUSIONS Public data repositories provide the opportunity to leverage large multisite data sets for studying complex disorders. Analysis with a statistical method specifically designed for such data enables us to extract new information from an existing data resource.
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Walters KA, Huang Y, Azaro M, Tobin K, Lehner T, Brzustowicz LM, Vieland VJ. Meta-analysis of repository data: impact of data regularization on NIMH schizophrenia linkage results. PLoS One 2014; 9:e84696. [PMID: 24454738 PMCID: PMC3891773 DOI: 10.1371/journal.pone.0084696] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2013] [Accepted: 11/26/2013] [Indexed: 02/07/2023] Open
Abstract
Human geneticists are increasingly turning to study designs based on very large sample sizes to overcome difficulties in studying complex disorders. This in turn almost always requires multi-site data collection and processing of data through centralized repositories. While such repositories offer many advantages, including the ability to return to previously collected data to apply new analytic techniques, they also have some limitations. To illustrate, we reviewed data from seven older schizophrenia studies available from the NIMH-funded Center for Collaborative Genomic Studies on Mental Disorders, also known as the Human Genetics Initiative (HGI), and assessed the impact of data cleaning and regularization on linkage analyses. Extensive data regularization protocols were developed and applied to both genotypic and phenotypic data. Genome-wide nonparametric linkage (NPL) statistics were computed for each study, over various stages of data processing. To assess the impact of data processing on aggregate results, Genome-Scan Meta-Analysis (GSMA) was performed. Examples of increased, reduced and shifted linkage peaks were found when comparing linkage results based on original HGI data to results using post-processed data within the same set of pedigrees. Interestingly, reducing the number of affected individuals tended to increase rather than decrease linkage peaks. But most importantly, while the effects of data regularization within individual data sets were small, GSMA applied to the data in aggregate yielded a substantially different picture after data regularization. These results have implications for analyses based on other types of data (e.g., case-control GWAS or sequencing data) as well as data obtained from other repositories.
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Affiliation(s)
- Kimberly A. Walters
- Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Columbus, Ohio, United States of America
- * E-mail:
| | - Yungui Huang
- Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Columbus, Ohio, United States of America
| | - Marco Azaro
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Kathleen Tobin
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Thomas Lehner
- Genomics Research Branch, The National Institute of Mental Health, Bethesda, Maryland, United States of America
| | - Linda M. Brzustowicz
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Veronica J. Vieland
- Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Columbus, Ohio, United States of America
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Watson AMM, Prasad KM, Klei L, Wood JA, Yolken RH, Gur RC, Bradford LD, Calkins ME, Richard J, Edwards N, Savage RM, Allen TB, Kwentus J, McEvoy JP, Santos AB, Wiener HW, Go RCP, Perry RT, Nasrallah HA, Gur RE, Devlin B, Nimgaonkar VL. Persistent infection with neurotropic herpes viruses and cognitive impairment. Psychol Med 2013; 43:1023-1031. [PMID: 22975221 DOI: 10.1017/s003329171200195x] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Herpes virus infections can cause cognitive impairment during and after acute encephalitis. Although chronic, latent/persistent infection is considered to be relatively benign, some studies have documented cognitive impairment in exposed persons that is untraceable to encephalitis. These studies were conducted among schizophrenia (SZ) patients or older community dwellers, among whom it is difficult to control for the effects of co-morbid illness and medications. To determine whether the associations can be generalized to other groups, we examined a large sample of younger control individuals, SZ patients and their non-psychotic relatives (n=1852). Method Using multivariate models, cognitive performance was evaluated in relation to exposures to herpes simplex virus type 1 (HSV-1), herpes simplex virus type 2 (HSV-2) and cytomegalovirus (CMV), controlling for familial and diagnostic status and sociodemographic variables, including occupation and educational status. Composite cognitive measures were derived from nine cognitive domains using principal components of heritability (PCH). Exposure was indexed by antibodies to viral antigens. RESULTS PCH1, the most heritable component of cognitive performance, declines with exposure to CMV or HSV-1 regardless of case/relative/control group status (p = 1.09 × 10-5 and 0.01 respectively), with stronger association with exposure to multiple herpes viruses (β = -0.25, p = 7.28 × 10-10). There were no significant interactions between exposure and group status. CONCLUSIONS Latent/persistent herpes virus infections can be associated with cognitive impairments regardless of other health status.
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Affiliation(s)
- A M M Watson
- Departments of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA
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Wiener H, Klei L, Calkins M, Wood J, Nimgaonkar V, Gur R, Bradford LD, Richard J, Edwards N, Savage R, Kwentus J, Allen T, McEvoy J, Santos A, Gur R, Devlin B, Go R. Principal components of heritability from neurocognitive domains differ between families with schizophrenia and control subjects. Schizophr Bull 2013; 39:464-71. [PMID: 22234486 PMCID: PMC3576168 DOI: 10.1093/schbul/sbr161] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Various measures of neurocognitive function show mean differences among individuals with schizophrenia (SZ), their relatives, and population controls. We use eigenvector transformations that maximize heritability of multiple neurocognitive measures, namely principal components of heritability (PCH), and evaluate how they distribute in SZ families and controls. METHODS African-Americans with SZ or schizoaffective disorder (SZA) (n = 514), their relatives (n = 1092), and adult controls (n = 300) completed diagnostic interviews and computerized neurocognitive tests. PCH were estimated from 9 neurocognitive domains. Three PCH, PCH1-PCH3, were modeled to determine if status (SZ, relative, and control), other psychiatric covariates, and education were significant predictors of mean values. A small-scale linkage analysis was also conducted in a subset of the sample. RESULTS PCH1, PCH2, and PCH3 account for 72% of the genetic variance. PCH1 represents 8 of 9 neurocognitive domains, is most highly correlated with spatial processing and emotion recognition, and has unadjusted heritability of 68%. The means for PCH1 differ significantly among SZ, their relatives, and controls. PCH2, orthogonal to PCH1, is most closely correlated with working memory and has an unadjusted heritability of 45%. Mean PCH2 is different only between SZ families and controls. PCH3 apparently represents a heritable component of neurocognition similar across the 3 diagnostic groups. No significant linkage evidence to PCH1-PCH3 or individual neurocognitive measures was discovered. CONCLUSIONS PCH1 is highly heritable and genetically correlated with SZ. It should prove useful in future genetic analyses. Mean PCH2 differentiates SZ families and controls but not SZ and unaffected family members.
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Affiliation(s)
- Howard Wiener
- Department of Epidemiology and International Health, University of Alabama at Birmingham, Birmingham, AL
| | - Lambertus Klei
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Monica Calkins
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Joel Wood
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Vishwajit Nimgaonkar
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA,Department of Human Genetics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA
| | - Ruben Gur
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA,Philadelphia Veteran’s Affairs Medical Center, Philadelphia, PA
| | | | - Jan Richard
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Neil Edwards
- Department of Psychiatry, College of Medicine, University of Tennessee, Memphis, TN
| | - Robert Savage
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL
| | - Joseph Kwentus
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS
| | - Trina Allen
- Duke University Medical Center-John Umstead Hospital, Butner, NC
| | - Joseph McEvoy
- Duke University Medical Center-John Umstead Hospital, Butner, NC
| | - Alberto Santos
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC
| | - Raquel Gur
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Bernie Devlin
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA,Department of Human Genetics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA,To whom correspondence should be addressed; Computational Genetics Program, Western Psychiatric Institute and Clinic, Room 430, Oxford Building, 3501 Forbes Avenue, Pittsburgh, PA 15213, US; tel: 412-246-6642, fax: 412-246-6640, e-mail:
| | - Rodney Go
- Department of Epidemiology and International Health, University of Alabama at Birmingham, Birmingham, AL
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Cacabelos R, Cacabelos P, Aliev G. Genomics of schizophrenia and pharmacogenomics of antipsychotic drugs. ACTA ACUST UNITED AC 2013. [DOI: 10.4236/ojpsych.2013.31008] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Eack SM, Bahorik AL, Newhill CE, Neighbors HW, Davis LE. Interviewer-perceived honesty as a mediator of racial disparities in the diagnosis of schizophrenia. Psychiatr Serv 2012; 63:875-80. [PMID: 22751938 PMCID: PMC3718294 DOI: 10.1176/appi.ps.201100388] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVE African Americans are disproportionately diagnosed as having schizophrenia, and the factors that contribute to this disparity are poorly understood. This study utilized data from the 1995 MacArthur Violence Risk Assessment Study to examine the impact of racial differences in sociodemographic characteristics, clinical presentation, and perceived honesty on disparities in the diagnosis of schizophrenia among African Americans. METHODS Researchers using structured assessments of diagnostic, sociodemographic, and clinical measures interviewed African Americans (N=215) and whites (N=537) receiving inpatient care for a severe mental illness. The impact of interviewers' perceptions of the participants' honesty on racial disparities in the diagnosis of schizophrenia was assessed. RESULTS African Americans (45%) were more than three times as likely as whites (19%) to be diagnosed as having schizophrenia. Disparities in sociodemographic and clinical characteristics modestly contributed to disparities in diagnostic rates. In contrast, interviewer-perceived honesty proved to be a significant predictor of racial disparities in schizophrenia diagnoses. After adjustment for perceived honesty, diagnostic disparities between African Americans and whites were substantially reduced. Mediator analyses confirmed that interviewer-perceived honesty was the only consistent mediator of the relationship between race and schizophrenia diagnosis. CONCLUSIONS Interviewers' perceptions of honesty among African-American participants are important contributors to disparities in the diagnosis of schizophrenia. Clinicians' perceptions of dishonesty among African-American patients may reflect poor patient-clinician relationships. Methods of facilitating a trusting relationship between patients and clinicians are needed to improve the assessment and treatment of persons from minority groups who are seeking mental health care. (Psychiatric Services 63:875-880, 2012; doi: 10.1176/appi.ps.201100388).
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Affiliation(s)
- Shaun M Eack
- School of Social Work and with Center on Race and Social Problems, University of Pittsburgh, 2117 Cathedral of Learning, Pittsburgh, PA 15260, USA.
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