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Scott JC, Moore TM, Roalf DR, Satterthwaite TD, Wolf DH, Port AM, Butler ER, Ruparel K, Nievergelt CM, Risbrough VB, Baker DG, Gur RE, Gur RC. Development and application of novel performance validity metrics for computerized neurocognitive batteries. J Int Neuropsychol Soc 2023; 29:789-797. [PMID: 36503573 PMCID: PMC10258222 DOI: 10.1017/s1355617722000893] [Citation(s) in RCA: 2] [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] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Data from neurocognitive assessments may not be accurate in the context of factors impacting validity, such as disengagement, unmotivated responding, or intentional underperformance. Performance validity tests (PVTs) were developed to address these phenomena and assess underperformance on neurocognitive tests. However, PVTs can be burdensome, rely on cutoff scores that reduce information, do not examine potential variations in task engagement across a battery, and are typically not well-suited to acquisition of large cognitive datasets. Here we describe the development of novel performance validity measures that could address some of these limitations by leveraging psychometric concepts using data embedded within the Penn Computerized Neurocognitive Battery (PennCNB). METHODS We first developed these validity measures using simulations of invalid response patterns with parameters drawn from real data. Next, we examined their application in two large, independent samples: 1) children and adolescents from the Philadelphia Neurodevelopmental Cohort (n = 9498); and 2) adult servicemembers from the Marine Resiliency Study-II (n = 1444). RESULTS Our performance validity metrics detected patterns of invalid responding in simulated data, even at subtle levels. Furthermore, a combination of these metrics significantly predicted previously established validity rules for these tests in both developmental and adult datasets. Moreover, most clinical diagnostic groups did not show reduced validity estimates. CONCLUSIONS These results provide proof-of-concept evidence for multivariate, data-driven performance validity metrics. These metrics offer a novel method for determining the performance validity for individual neurocognitive tests that is scalable, applicable across different tests, less burdensome, and dimensional. However, more research is needed into their application.
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Affiliation(s)
- J. Cobb Scott
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- VISN4 Mental Illness Research, Education, and Clinical Center at the Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Tyler M. Moore
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David R. Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Theodore D. Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel H. Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Allison M. Port
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ellyn R. Butler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kosha Ruparel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Caroline M. Nievergelt
- Center for Excellent in Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California (UCSD), San Diego, CA, USA
| | - Victoria B. Risbrough
- Center for Excellent in Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California (UCSD), San Diego, CA, USA
| | - Dewleen G. Baker
- Center for Excellent in Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California (UCSD), San Diego, CA, USA
| | - Raquel E. Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ruben C. Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- VISN4 Mental Illness Research, Education, and Clinical Center at the Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Lifespan Brain Institute, Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
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2
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Wu X, Huai C, Shen L, Li M, Yang C, Zhang J, Chen L, Zhu W, Fan L, Zhou W, Xing Q, He L, Wan C, Qin S. Genome-wide study of copy number variation implicates multiple novel loci for schizophrenia risk in Han Chinese family trios. iScience 2021; 24:102894. [PMID: 34401673 PMCID: PMC8358640 DOI: 10.1016/j.isci.2021.102894] [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] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 06/17/2021] [Accepted: 07/19/2021] [Indexed: 01/22/2023] Open
Abstract
Schizophrenia (SCZ) is a severe neuropsychiatric disorder that affects 1% of the global population. Copy number variations (CNVs) have been shown to play a critical role in its pathophysiology; however, only case-control studies on SCZ susceptibility CNVs have been conducted in Han Chinese. Here, we performed an array comparative genomic hybridization-based genome-wide CNV analysis in 100 Chinese family trios with SCZ. Burden test suggested that the SCZ probands carried more duplications than their healthy parents and unrelated healthy controls. Besides, five CNV loci were firstly reported to be associated with SCZ here, including both unbalanced transmitted CNVs and enriched de novo CNVs. Moreover, two genes (CTDSPL and MGAM) in these CNVs showed significant SCZ relevance in the expression level. Our findings support the crucial role of CNVs in the etiology of SCZ and provide new insights into the underlying mechanism of SCZ pathogenesis.
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Affiliation(s)
- Xi Wu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Cong Huai
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Lu Shen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Mo Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Chao Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Juan Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Luan Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Wenli Zhu
- The Fourth People's Hospital of Wuhu, Wuhu, Anhui, 241000, China
| | - Lingzi Fan
- Zhumadian Psychiatric Hospital, Zhumadian, Henan, 463000, China
| | - Wei Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Qinghe Xing
- Children's Hospital & Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Lin He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
- Corresponding author
| | - Chunling Wan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
- Corresponding author
| | - Shengying Qin
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030, China
- Corresponding author
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3
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Izgi B, Moore TM, Yalcinay-Inan M, Port AM, Kuscu K, Gur RC, Yapici Eser H. Test-retest reliability of the Turkish translation of the Penn Computerized Neurocognitive Battery. APPLIED NEUROPSYCHOLOGY-ADULT 2021; 29:1258-1267. [PMID: 33492171 DOI: 10.1080/23279095.2020.1866572] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Psychiatric disorders are associated with cognitive dysfunction (CD), and reliable screening and follow-up of CD is essential both for research and clinical practice globally; yet, most assessments are in Western languages. We aimed to evaluate the test-retest reliability of the Turkish version of the Penn Computerized Neurocognitive Battery (PennCNB) to guide confident interpretation of results. Fifty-eight healthy individuals completed the PennCNB Turkish version in two sessions. After quality control, reliability analysis was conducted using Intraclass Correlation Coefficients (ICC), corrected for practice effects. Most measures were not significantly different between the sessions and had acceptable ICC values, with several exceptions. Scores were improved considerably for some memory measures, including immediate Facial Memory and Spatial Memory, and for incorrect responses in abstraction and mental flexibility, with correspondingly acceptable ICCs. Test-retest assessment of the Turkish version of the PennCNB shows that it can be used as a reliable real-time measurement of cognitive function in snapshot cross-sectional or longitudinal determinations. Preliminary validity assessment in this normative sample showed expected positive correlations with education level and negative correlations with age. Thus, the Turkish version of the PennCNB can be considered a reliable neuropsychological testing tool in research and clinical practice. Practice effects should be considered, especially when applied in short intervals. Significantly better performances in the retest, beyond practice effect, likely reflect nonlinear improvements in some participants who "learned how to learn" the memory tests or had insight on solving the abstraction and mental flexibility test.
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Affiliation(s)
- Busra Izgi
- Graduate School of Health Sciences, Neuroscience Ph.D. program, Koç University, Istanbul, Turkey.,Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Tyler M Moore
- Brain Behavior Laboratory, Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | | | - Allison M Port
- Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Kemal Kuscu
- School of Medicine, Department of Psychiatry, Koç University, Istanbul, Turkey
| | - Ruben C Gur
- Brain Behavior Laboratory, Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Hale Yapici Eser
- Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey.,School of Medicine, Department of Psychiatry, Koç University, Istanbul, Turkey
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4
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Scott JC, Van Pelt AE, Port AM, Njokweni L, Gur RC, Moore TM, Phoi O, Tshume O, Matshaba M, Ruparel K, Chapman J, Lowenthal ED. Development of a computerised neurocognitive battery for children and adolescents with HIV in Botswana: study design and protocol for the Ntemoga study. BMJ Open 2020; 10:e041099. [PMID: 32847928 PMCID: PMC7451956 DOI: 10.1136/bmjopen-2020-041099] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Neurodevelopmental delays and cognitive impairments are common in youth living with HIV. Unfortunately, in resource-limited settings, where HIV infection impacts millions of children, cognitive and neurodevelopmental disorders commonly go undetected because of a lack of appropriate assessment instruments and local expertise. Here, we present a protocol to culturally adapt and validate the Penn Computerized Neurocognitive Battery (PennCNB) and examine its validity for detecting both advanced and subtle neurodevelopmental problems among school-aged children affected by HIV in resource-limited settings. METHODS AND ANALYSIS This is a prospective, observational cohort study. The venue for this study is Gaborone, Botswana, a resource-limited setting with high rates of perinatal exposure to HIV and limited neurocognitive assessment tools and expertise. We aim to validate the PennCNB in this setting by culturally adapting and then administering the adapted version of the battery to 200 HIV-infected, 200 HIV-exposed uninfected and 240 HIV-unexposed uninfected children. A series of analyses will be conducted to examine the reliability and construct validity of the PennCNB in these populations. ETHICS AND DISSEMINATION This project received ethical approval from local and university Institutional Review Boards and involved extensive input from local stakeholders. If successful, the proposed tools will provide practical screening and streamlined, comprehensive assessments that could be implemented in resource-limited settings to identify children with cognitive deficits within programmes focused on the care and treatment of children affected by HIV. The utility of such assessments could also extend beyond children affected by HIV, increasing general access to paediatric cognitive assessments in resource-limited settings.
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Affiliation(s)
- J Cobb Scott
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- VISN4 Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Amelia E Van Pelt
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Pediatrics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Allison M Port
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Lucky Njokweni
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Onkemetse Phoi
- Botswana-Baylor Children's Clinical Centre of Excellence, Gaborone, Botswana
| | - Ontibile Tshume
- Botswana-Baylor Children's Clinical Centre of Excellence, Gaborone, Botswana
| | - Mogomotsi Matshaba
- Botswana-Baylor Children's Clinical Centre of Excellence, Gaborone, Botswana
- Baylor College of Medicine, Gaborone, Botswana
| | - Kosha Ruparel
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jennifer Chapman
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Elizabeth D Lowenthal
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Pediatrics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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5
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Ibrahim I, Tobar S, Fathi W, ElSayed H, Yassein A, Eissa A, Elsheshtawy E, Elboraei H, Shahda M, Elwasify M, Ibrahim A, Chen K, Wood J, Dickerson F, Yolken RH, El Chennawi F, Gur R, Gur R, El Bahaey W, Nimgaonkar V, Mansour H. Randomized controlled trial of adjunctive Valproate for cognitive remediation in early course schizophrenia. J Psychiatr Res 2019; 118:66-72. [PMID: 31494376 DOI: 10.1016/j.jpsychires.2019.08.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 08/13/2019] [Accepted: 08/23/2019] [Indexed: 01/09/2023]
Abstract
BACKGROUND Schizophrenia (SZ) is associated with cognitive impairment that contributes to disability, but the cognitive dysfunction is relatively refractory to pharmacologic intervention. Though Valproate augmentation is reported to improve psychopathology among patients with SZ, its effects on cognitive functions have not been investigated systematically. METHODS Using a randomized double blind placebo controlled design, the effects of Valproate or placebo as adjuncts to risperidone (RISP) treatment were evaluated among patients with early course SZ (N = 109). Domains of cognitive function, estimated using the Arabic version of the Penn Computerized Neurocognitive Battery, were the prime outcomes. Clinical severity and social function were secondary outcomes. We also explored the effects of valproate treatment on serological responses to Toxoplama Gondii (TOXO), a putative risk factor for cognitive dysfunction in SZ. RESULTS There were no significant differences between Valproate and placebo (PLA) treated groups with respect to changes in cognitive functions, positive or negative symptom scores or daily function scores at the beginning and end of the study. No significant Valproate/PLA differences were noted on TOXO serostatus or TOXO-related cognitive dysfunction. CONCLUSION Valproate treatment may not be beneficial for cognitive dysfunction in SZ or for TOXO infection.
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Affiliation(s)
- Ibtihal Ibrahim
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Salwa Tobar
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Warda Fathi
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Hanan ElSayed
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Amal Yassein
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Ahmed Eissa
- Department of Psychiatry, Port-said University School of Medicine, Port-said, Egypt
| | - Eman Elsheshtawy
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Hala Elboraei
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Mohamed Shahda
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Mahmoud Elwasify
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Ahmed Ibrahim
- Clinical pathology department, Mansoura university student Hospital, Egypt
| | - Kehui Chen
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joel Wood
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA
| | | | - Robert H Yolken
- Stanley Division of Developmental Neurovirology, Department of Pediatrics, USA
| | - Farha El Chennawi
- Department of Clinical Pathology, Mansoura University School of Medicine, Mansoura, Egypt
| | - Raquel Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wafaa El Bahaey
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Vishwajit Nimgaonkar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA. nimga+@pitt.edu
| | - Hader Mansour
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA
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6
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Abstract
First, we describe the hallmark contributions of Irv Gottesman's pioneering scholarship for schizophrenia research including concepts of polygenicity, gene × environment interactions, epigenetics and the endophenotype concept. Gottesman and colleagues' twin studies showed that genes, not social factors, mediate schizophrenia risk. He then showed that schizophrenia is highly polygenic. Next, he introduced the concept of epigenetics into schizophrenia research. Gottesman then introduced the quantitative endophenotype concept. Endophenotypes are laboratory-based measures that show deficits in schizophrenia patients and lesser deficits in their first degree "unaffected" relatives and are viewed as being more proximal to genes and having a simpler genetic architecture than are "fuzzy" qualitative diagnostic disorders. Endophenotypes offer an exciting path to gene discovery, neural circuits, genetic architecture and new treatment pathways of schizophrenia and related psychotic disorders. Second, we were asked to discuss 2 of many endophenotype Consortia and related studies, in order to illustrate the impact of Gottesman's work. We describe the Consortium on the Genetics of Schizophrenia (COGS) exploring neurocognitive and neurophysiological endophenotypes in family and case-control studies. Association, linkage, sequencing and epigenetic studies are described. The Bipolar and Schizophrenia Network for Intermediate Phenotypes (BSNIP) uses an array of endophenotypes including brain imaging in studies across the psychosis dimension, allowing for dimensional analyses. BSNIP results have led to the concept of biotypes, advancing the field. Irv Gottesman was imaginatively prescient in generating novel insights and predicting many major issues which challenge schizophrenia researchers who still use his concepts to guide current research approaches.
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Affiliation(s)
- David L Braff
- Department of Psychiatry, University of California, San Diego, La Jolla, CA;
| | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical School, Dallas, TX
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7
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Sharma S, Bhatia T, Mazumdar S, Deshpande SN. Neurological soft signs and cognitive functions: Amongst euthymic bipolar I disorder cases, non-affected first degree relatives and healthy controls. Asian J Psychiatr 2016; 22:53-9. [PMID: 27520894 PMCID: PMC5061649 DOI: 10.1016/j.ajp.2016.04.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 02/15/2016] [Accepted: 04/16/2016] [Indexed: 11/27/2022]
Abstract
Both neurological soft signs (NSS) and cognitive deficits are present among euthymic bipolar patients. NSS could be related to neurocognitive performance, but this is not explored thoroughly. Healthy relatives of patients may also suffer from similar deficits. This study compared NSS and cognitive functions in euthymic Bipolar I Disorder (BPI) cases to their non-affected first degree relatives and healthy controls. We also investigated the association between NSS and cognitive functions in these three groups. NSS were assessed in three groups using Neurological Evaluation Scale-revised (NES-r). Eight cognitive domains were assessed in 31 euthymic BPI cases, their 30 non-affected first degree relatives and 30 healthy controls using Computerized Neurocognitive Battery (CNB). Euthymic BPI patients had significantly more NSS than non-affected first degree relatives on 5/7 tests (p-value ranges from 0.042 to p=0.0001) and healthy controls on all tests (p-value from 0.042 to <0.0001). Non-affected first degree relatives and controls did not have any significant difference. BPI participants performed worse than their non-affected first degree relatives on one neurocognitive domain of CNB (spatial memory accuracy, p=0.03) and healthy controls on four domains (spatial memory accuracy (p=0.04), abstraction and mental flexibility efficiency (p=0.04), spatial memory efficiency (p=0.04), and emotion efficiency (p=0.04). Non-affected relatives and healthy controls were similar on neurocognitive domains. Accuracy and efficiency indices of some specific cognitive domains were negatively associated with AV rating and tap copying NSS ratings.
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Affiliation(s)
- Srikant Sharma
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Dr. Ram Manohar Lohia Hospital, New Delhi, India.
| | - Triptish Bhatia
- GRIP-NIH Project, Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Dr. Ram Manohar Lohia Hospital, New Delhi, India.
| | - Sati Mazumdar
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, USA.
| | - Smita N Deshpande
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Dr. Ram Manohar Lohia Hospital, New Delhi, India.
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8
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Montano C, Taub MA, Jaffe A, Briem E, Feinberg JI, Trygvadottir R, Idrizi A, Runarsson A, Berndsen B, Gur RC, Moore TM, Perry RT, Fugman D, Sabunciyan S, Yolken RH, Hyde TM, Kleinman JE, Sobell JL, Pato CN, Pato MT, Go RC, Nimgaonkar V, Weinberger DR, Braff D, Gur RE, Fallin MD, Feinberg AP. Association of DNA Methylation Differences With Schizophrenia in an Epigenome-Wide Association Study. JAMA Psychiatry 2016; 73:506-14. [PMID: 27074206 PMCID: PMC6353566 DOI: 10.1001/jamapsychiatry.2016.0144] [Citation(s) in RCA: 123] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE DNA methylation may play an important role in schizophrenia (SZ), either directly as a mechanism of pathogenesis or as a biomarker of risk. OBJECTIVE To scan genome-wide DNA methylation data to identify differentially methylated CpGs between SZ cases and controls. DESIGN, SETTING, AND PARTICIPANTS Epigenome-wide association study begun in 2008 using DNA methylation levels of 456 513 CpG loci measured on the Infinium HumanMethylation450 array (Illumina) in a consortium of case-control studies for initial discovery and in an independent replication set. Primary analyses used general linear regression, adjusting for age, sex, race/ethnicity, smoking, batch, and cell type heterogeneity. The discovery set contained 689 SZ cases and 645 controls (n = 1334), from 3 multisite consortia: the Consortium on the Genetics of Endophenotypes in Schizophrenia, the Project among African-Americans To Explore Risks for Schizophrenia, and the Multiplex Multigenerational Family Study of Schizophrenia. The replication set contained 247 SZ cases and 250 controls (n = 497) from the Genomic Psychiatry Cohort. MAIN OUTCOMES AND MEASURES Identification of differentially methylated positions across the genome in SZ cases compared with controls. RESULTS Of the 689 case participants in the discovery set, 477 (69%) were men and 258 (37%) were non-African American; of the 645 controls, 273 (42%) were men and 419 (65%) were non-African American. In our replication set, cases/controls were 76% male and 100% non-African American. We identified SZ-associated methylation differences at 923 CpGs in the discovery set (false discovery rate, <0.2). Of these, 625 showed changes in the same direction including 172 with P < .05 in the replication set. Some replicated differentially methylated positions are located in a top-ranked SZ region from genome-wide association study analyses. CONCLUSIONS AND RELEVANCE This analysis identified 172 replicated new associations with SZ after careful correction for cell type heterogeneity and other potential confounders. The overlap with previous genome-wide association study data can provide potential insights into the functional relevance of genetic signals for SZ.
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Affiliation(s)
- Carolina Montano
- Medical Scientist Training Program and Predoctoral Training Program in Human Genetics, Johns Hopkins University School of Medicine, Baltimore, Maryland,Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Margaret A. Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Andrew Jaffe
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Eirikur Briem
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jason I. Feinberg
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Rakel Trygvadottir
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Adrian Idrizi
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Arni Runarsson
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Birna Berndsen
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ruben C. Gur
- Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Tyler M. Moore
- Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Rodney T. Perry
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham
| | - Doug Fugman
- Rutgers University Cell and DNA Repository, Piscataway, New Jersey
| | - Sarven Sabunciyan
- Stanley Division of Developmental Neurovirology, Johns Hopkins, School of Medicine, Baltimore, Maryland
| | - Robert H. Yolken
- Stanley Division of Developmental Neurovirology, Johns Hopkins, School of Medicine, Baltimore, Maryland
| | - Thomas M. Hyde
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - Joel E. Kleinman
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - Janet L. Sobell
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Carlos N. Pato
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Michele T. Pato
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Rodney C. Go
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham
| | | | - Daniel R. Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - David Braff
- Department of Psychiatry, University of California San Diego School of Medicine, La Jolla,VISN22, Mental Illness Research, Education, and Clinical Center, VA Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Raquel E. Gur
- Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Margaret Daniele Fallin
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Andrew P. Feinberg
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland,Departments of Medicine and Biomedical Engineering, Johns Hopkins University School of Medicine and Whiting School of Engineering, Baltimore, Maryland
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Ibrahim I, Tobar S, Elassy M, Mansour H, Chen K, Wood J, Gur RC, Gur RE, El Bahaei W, Nimgaonkar V. Practice effects distort translational validity estimates for a Neurocognitive Battery. J Clin Exp Neuropsychol 2015; 37:530-7. [PMID: 26054545 DOI: 10.1080/13803395.2015.1037253] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION With the globalization of biomedical research and the advent of "precision medicine," there is increased need for translation of neuropsychological tests, such as computerized batteries that can be incorporated in large-scale genomic studies. Estimates of translational validity are obtained by administering the test in the original and the translated versions to bilingual individuals. We investigated the translation of a neuropsychological battery from English to Arabic and how practice effects influence translational validity estimates. METHODS The Penn computerized neurocognitive battery (Penn CNB) includes tests that were validated with functional neuroimaging and provides measures of accuracy and speed of performance in several cognitive domains. To develop an Arabic version of the CNB, the English version was translated into Arabic, then back translated and revised. The Arabic and the original English versions were administered in a randomized crossover design to bilingual participants (N = 22). RESULTS Performance varied by cognitive domain, but generally improved at the second session regardless of the language of the initial test. When performance on the English and Arabic version was compared, significant positive correlations were detected for accuracy in 8/13 cognitive domains and for speed in 4/13 domains (r = .02 to .97). When the practice estimates using linear models were incorporated, the translational validity estimates improved substantially (accuracy, r = .50-.96, speed, r = .63-.92, all correlations, p = .05 or better). CONCLUSION While crossover designs control for order effects on average performance, practice effects, regardless of language, still need to be removed to obtain estimates of translational validity. When practice effect is controlled for, the Arabic and English versions of the Penn-CNB are well correlated, and the Arabic version is suitable for use in research.
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Affiliation(s)
- Ibtihal Ibrahim
- a Department of Psychiatry , University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic , Pittsburgh , PA , USA
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Overcoming barriers to recruiting ethnic minorities to mental health research: a typology of recruitment strategies. BMC Psychiatry 2015; 15:101. [PMID: 25934297 PMCID: PMC4436137 DOI: 10.1186/s12888-015-0484-z] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Accepted: 04/23/2015] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The ethnic minority population in developed countries is increasing over time. These groups are at higher risk of mental illness and demonstrate lower participation in research. Published evidence suggests that multiple factors like stigma, lack of trust, differences in explanatory models, logistical issues and lack of culturally aware researchers act as barriers to ethnic minority recruitment into mental health research. To reduce inequalities in participation, there is a need to devise innovative and culturally sensitive recruitment strategies. It is important that researchers share their experience of employing these strategies so that ethnic minority participation can be facilitated. METHODS We previously published a systematic review of barriers to recruiting ethnic minority participants into mental health research. The nine papers included in our prior review formed the basis for developing a typology of barriers to recruiting ethnic minorities into mental health research. This typology identified 33 barriers, described under five themes. We further extracted data on the strategies used to overcome these recruitment barriers, as described in the included studies. RESULTS The strategies employed by the authors could be matched to all but two barriers (psychopathology/substance misuse and limited resource availability). There was evidence that multiple strategies were employed, and that these depended upon the population, clinical set-up and resources available. CONCLUSIONS This typology of strategies to overcome barriers to recruiting ethnic minorities provides guidance on achieving higher rates of recruitment. It is important that researchers plan to deploy these strategies well in advance of initiating recruitment. Whilst adopting these strategies, the authors have not been able to quantify the positive impact of these strategies on recruitment. The typology should encourage researchers to employ these strategies in future research, refine them further and quantitatively evaluate their impact.
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11
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Moore TM, Scott JC, Reise SP, Port AM, Jackson CT, Ruparel K, Savitt AP, Gur RE, Gur RC. Development of an abbreviated form of the Penn Line Orientation Test using large samples and computerized adaptive test simulation. Psychol Assess 2015; 27:955-64. [PMID: 25822834 DOI: 10.1037/pas0000102] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Visuospatial processing is a commonly assessed neurocognitive domain with deficits linked to dysfunction in right posterior regions of the brain. With the growth of large-scale clinical research studies, there is an increased need for efficient and scalable assessments of neurocognition, including visuospatial processing. The purpose of the current study was to use a novel method that combines item response theory (IRT) and computerized adaptive testing (CAT) approaches to create an abbreviated form of the computerized Penn Line Orientation Test (PLOT). The 24-item PLOT was administered to 8,498 youths (aged 8-21 years) as part of the Philadelphia Neurodevelopmental Cohort study and, by Web-based data collection, in an independent sample of 4,593 adults from Great Britain as part of a TV documentary. IRT-based CAT simulations were used to select the best PLOT items for an abbreviated form by performing separate simulations in each group and choosing only items that were selected as useful (i.e., high item discrimination and in the appropriate difficulty range) in at least 1 of the simulations. Fifteen items were chosen for the final, short form of the PLOT, indicating substantial agreement among the models in how they evaluated each item's usefulness. Moreover, this abbreviated version performed comparably to the full version in tests of sensitivity to age and sex effects. This abbreviated version of the PLOT cuts administration time by 50% without detectable loss of information, which points to its feasibility for large-scale clinical and genomic studies.
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Affiliation(s)
- Tyler M Moore
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - J Cobb Scott
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Steven P Reise
- Department of Psychology, University of California-Los Angeles
| | - Allison M Port
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Chad T Jackson
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Kosha Ruparel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Adam P Savitt
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
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12
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Moore TM, Reise SP, Gur RE, Hakonarson H, Gur RC. Psychometric properties of the Penn Computerized Neurocognitive Battery. Neuropsychology 2014; 29:235-46. [PMID: 25180981 DOI: 10.1037/neu0000093] [Citation(s) in RCA: 220] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVE The Penn Computerized Neurocognitive Battery (CNB) was designed to measure performance accuracy and speed on specific neurobehavioral domains using tests that were previously validated with functional neuroimaging. The goal of the present study was to evaluate the neuropsychological theory used to construct the CNB by confirming the factor structure of the tests composing it. METHOD In a large community sample (N = 9,138; age range 8-21), we performed a correlated-traits confirmatory factor analysis (CFA) and multiple exploratory factor analyses (EFAs) on the 12 CNB measures of Efficiency (which combine Accuracy and Speed). We then performed EFAs of the Accuracy and Speed measures separately. Finally, we performed a confirmatory bifactor analysis of the Efficiency scores. All analyses were performed with Mplus using maximum likelihood estimation. RESULTS RESULTS strongly support the a priori theory used to construct the CNB, showing that tests designed to measure executive, episodic memory, complex cognition, and social cognition aggregate their loadings within these domains. When Accuracy and Speed were analyzed separately, Accuracy produced 3 reliable factors: executive and complex cognition, episodic memory, and social cognition, while speed produced 2 factors: tests that require fast responses and those where each item requires deliberation. The statistical "Fit" of almost all models described above was acceptable (usually excellent). CONCLUSIONS Based on the analysis from these large-scale data, the CNB offers an effective means for measuring the integrity of intended neurocognitive domains in about 1 hour of testing and is thus suitable for large-scale clinical and genomic studies.
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Affiliation(s)
- Tyler M Moore
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Steven P Reise
- Department of Psychology, University of California-Los Angeles
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Brown G, Marshall M, Bower P, Woodham A, Waheed W. Barriers to recruiting ethnic minorities to mental health research: a systematic review. Int J Methods Psychiatr Res 2014; 23:36-48. [PMID: 24474683 PMCID: PMC6878438 DOI: 10.1002/mpr.1434] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2012] [Revised: 09/08/2012] [Accepted: 11/06/2012] [Indexed: 11/07/2022] Open
Abstract
Disparities in the prevalence of mental illness are widely reported for people from ethnic minorities. Unlike the United States, there is no legislation for clinical research in the UK to mandate the inclusion of ethnic minorities and they are underrepresented in European trials compared with those conducted in the United States. This restricts generalization of research findings. This systematic review of the barriers to the recruitment of ethnic minority participants into psychiatric research is based on a comprehensive literature search. Nine included papers explore such barriers based on the authors' and participants' experiences of research. These barriers are mainly categorized as: participant related, practical issues, family/community related, health service related and research process issues. This review provides a compilation of important barriers to recruitment which can facilitate future research. The barriers that were identified are not all unique to participants from ethnic minorities, although the way in which they manifest themselves is often distinct in minority groups. It is important that these barriers are considered when designing research design so that solutions to overcome such obstacles can be incorporated in research protocols from the start and appropriate resources allocated.
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Affiliation(s)
- Gillian Brown
- Division of Psychiatry, School of Medicine, University of Manchester, Manchester, UK
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14
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Gulsuner S, Walsh T, Watts AC, Lee MK, Thornton AM, Casadei S, Rippey C, Shahin H, Nimgaonkar VL, Go RCP, Savage RM, Swerdlow NR, Gur RE, Braff DL, King MC, McClellan JM. Spatial and temporal mapping of de novo mutations in schizophrenia to a fetal prefrontal cortical network. Cell 2013; 154:518-29. [PMID: 23911319 DOI: 10.1016/j.cell.2013.06.049] [Citation(s) in RCA: 415] [Impact Index Per Article: 37.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2013] [Revised: 06/03/2013] [Accepted: 06/28/2013] [Indexed: 11/28/2022]
Abstract
Genes disrupted in schizophrenia may be revealed by de novo mutations in affected persons from otherwise healthy families. Furthermore, during normal brain development, genes are expressed in patterns specific to developmental stage and neuroanatomical structure. We identified de novo mutations in persons with schizophrenia and then mapped the responsible genes onto transcriptome profiles of normal human brain tissues from age 13 weeks gestation to adulthood. In the dorsolateral and ventrolateral prefrontal cortex during fetal development, genes harboring damaging de novo mutations in schizophrenia formed a network significantly enriched for transcriptional coexpression and protein interaction. The 50 genes in the network function in neuronal migration, synaptic transmission, signaling, transcriptional regulation, and transport. These results suggest that disruptions of fetal prefrontal cortical neurogenesis are critical to the pathophysiology of schizophrenia. These results also support the feasibility of integrating genomic and transcriptome analyses to map critical neurodevelopmental processes in time and space in the brain.
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Affiliation(s)
- Suleyman Gulsuner
- Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
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15
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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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16
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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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17
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Bamne M, Wood J, Chowdari K, Watson AM, Celik C, Mansour H, Klei L, Gur RC, Bradford LD, Calkins ME, Santos AB, Edwards N, Kwentus J, McEvoy JP, Allen TB, Savage RM, Nasrallah HA, Gur RE, Perry RT, Go RC, Devlin B, Yolken R, Nimgaonkar VL. Evaluation of HLA polymorphisms in relation to schizophrenia risk and infectious exposure. Schizophr Bull 2012; 38:1149-54. [PMID: 22966150 PMCID: PMC3494045 DOI: 10.1093/schbul/sbs087] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Genome-wide association studies (GWAS) implicate single nucleotide polymorphisms (SNPs) on chromosome 6p21.3-22.1, the human leukocyte antigen (HLA) region, as common risk factors for schizophrenia (SZ). Other studies implicate viral and protozoan exposure. Our study tests chromosome 6p SNPs for effects on SZ risk with and without exposure. METHOD GWAS-significant SNPs and ancestry-informative marker SNPs were analyzed among African American patients with SZ (n = 604) and controls (n = 404). Exposure to herpes simplex virus, type 1 (HSV-1), cytomegalovirus (CMV), and Toxoplasma gondii (TOX) was assayed using specific antibody assays. RESULTS Five SNPs were nominally associated with SZ, adjusted for population admixture (P < .05, uncorrected for multiple comparisons). These SNPs were next analyzed in relation to infectious exposure. Multivariate analysis indicated significant association between rs3130297 genotype and HSV-1 exposure; the associated allele was different from the SZ risk allele. CONCLUSIONS We propose a model for the genesis of SZ incorporating genomic variation in the HLA region and neurotropic viral exposure for testing in additional, independent African American samples.
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Affiliation(s)
- Mikhil Bamne
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic,Pittsburgh, PA
| | - Joel Wood
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic,Pittsburgh, PA
| | - Kodavali Chowdari
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic,Pittsburgh, PA
| | - Annie M. Watson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic,Pittsburgh, PA
| | - Cemil Celik
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, Pittsburgh, PA and Department of Psychiatry, GATA School of Medicine, Etlik-Ankara, Turkey
| | - Hader Mansour
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic,Pittsburgh, PA
| | - Lambertus Klei
- Computational Genetics Program, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Ruben C. Gur
- Department of Psychiatry, Neuropsychiatry Section, University of Pennsylvania, Philadelphia, PA and Philadelphia Veteran’s Affairs Medical Center, Philadelphia, PA
| | | | - Monica E. Calkins
- Department of Psychiatry, Neuropsychiatry Section, University of Pennsylvania, Philadelphia, PA
| | - Alberto B. Santos
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina,Charleston, SC
| | - Neil Edwards
- Department of Psychiatry, University of Tennessee, College of Medicine, Memphis, TN
| | - Joseph Kwentus
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS
| | - Joseph P. McEvoy
- Duke University Medical Center-John Umstead Hospital, Butler, NC
| | - Trina B. Allen
- Duke University Medical Center-John Umstead Hospital, Butler, NC
| | - Robert M. Savage
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL
| | - Henry A. Nasrallah
- Department of Psychiatry and Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Raquel E. Gur
- Department of Psychiatry, Neuropsychiatry Section, University of Pennsylvania, Philadelphia, PA
| | - Rodney T. Perry
- University of Alabama at Birmingham, Epidemiology and International Health, Birmingham, AL
| | - Rodney C.P. Go
- Department of Epidemiology and International Health, University of Alabama at Birmingham, Birmingham, AL
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, Pittsburgh, PA and Department of Human Genetics, Graduate School of Public Health Pittsburgh, University of Pittsburgh, Pittsburgh, PA
| | - Robert Yolken
- Johns Hopkins University Medical Center, Stanley Division of Developmental Neurovirology, Baltimore, MD
| | - Vishwajit L. Nimgaonkar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, Pittsburgh, PA and Department of Human Genetics, Graduate School of Public Health Pittsburgh, University of Pittsburgh, Pittsburgh, PA;,To whom correspondence should be addressed; tel: 1-412-246-6353, fax: 1-412-246-6350, e-mail:
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Savage RM, Wiener HW, Nimgaonkar V, Devlin B, Calkins ME, Gur RE, O'Jile J, Bradford LD, Edwards N, Kwentus J, Allen T, McEvoy JP, Nasrallah H, Santos AB, Aduroja T, Lahti A, May RS, Montgomery-Barefield L, Go RCP. Heritability of functioning in families with schizophrenia in relation to neurocognition. Schizophr Res 2012; 139:105-9. [PMID: 22627125 DOI: 10.1016/j.schres.2012.04.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2012] [Revised: 03/28/2012] [Accepted: 04/22/2012] [Indexed: 11/28/2022]
Abstract
UNLABELLED The role of daily functioning is an integral part of the schizophrenia (SZ) phenotype and deficits in this trait appear to be present in both affected persons and some unaffected relatives; hence we have examined its heritability in our cohort of African American schizophrenia families. There is now ample evidence that deficits in cognitive function can impact family members who are not themselves diagnosed with SZ; there is some, but less evidence that role function behaves likewise. We evaluate whether role function tends to "run in families" who were ascertained because they contain an African American proband diagnosed with SZ. METHODS We analyzed heritability for selected traits related to daily function, employment, living situation, marital status, and Global Assessment Scale (GAS) score; modeling age, gender, along with neurocognition and diagnosis as covariates in a family based African-American sample (N=2488 individuals including 979 probands). RESULTS Measures of role function were heritable in models including neurocognitive domains and factor analytically derived neurocognitive summary scores and demographics as covariates; the most heritable estimate was obtained from the current GAS scores (h2=0.72). Neurocognition was not a significant contributor to heritability of role function. CONCLUSIONS Commonly assessed demographic and clinical indicators of functioning are heritable with a global rating of functioning being the most heritable. Measures of neurocognition had little impact on heritability of functioning overall. The family covariance for functioning, reflected in its heritability, supports the concept that interventions at the family level, such as evidenced-based family psychoeducation may be beneficial in schizophrenia.
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Affiliation(s)
- R M Savage
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA.
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Lee H, Jaffe AE, Feinberg JI, Tryggvadottir R, Brown S, Montano C, Aryee MJ, Irizarry RA, Herbstman J, Witter FR, Goldman LR, Feinberg AP, Fallin MD. DNA methylation shows genome-wide association of NFIX, RAPGEF2 and MSRB3 with gestational age at birth. Int J Epidemiol 2012; 41:188-99. [PMID: 22422452 DOI: 10.1093/ije/dyr237] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Gestational age at birth strongly predicts neonatal, adolescent and adult morbidity and mortality through mostly unknown mechanisms. Identification of specific genes that are undergoing regulatory change prior to birth, such as through changes in DNA methylation, would increase our understanding of developmental changes occurring during the third trimester and consequences of pre-term birth (PTB). METHODS We performed a genome-wide analysis of DNA methylation (using microarrays, specifically CHARM 2.0) in 141 newborns collected in Baltimore, MD, using novel statistical methodology to identify genomic regions associated with gestational age at birth. Bisulphite pyrosequencing was used to validate significant differentially methylated regions (DMRs), and real-time PCR was performed to assess functional significance of differential methylation in a subset of newborns. RESULTS We identified three DMRs at genome-wide significance levels adjacent to the NFIX, RAPGEF2 and MSRB3 genes. All three regions were validated by pyrosequencing, and RAGPEF2 also showed an inverse correlation between DNA methylation levels and gene expression levels. Although the three DMRs appear very dynamic with gestational age in our newborn sample, adult DNA methylation levels at these regions are stable and of equal or greater magnitude than the oldest neonate, directionally consistent with the gestational age results. CONCLUSIONS We have identified three differentially methylated regions associated with gestational age at birth. All three nearby genes play important roles in the development of several organs, including skeletal muscle, brain and haematopoietic system. Therefore, they may provide initial insight into the basis of PTB's negative health outcomes. The genome-wide custom DNA methylation array technology and novel statistical methods employed in this study could constitute a model for epidemiologic studies of epigenetic variation.
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Affiliation(s)
- Hwajin Lee
- Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
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Da Silva FN, Irani F, Richard J, Brensinger CM, Bilker WB, Gur RE, Gur RC. More than just tapping: index finger-tapping measures procedural learning in schizophrenia. Schizophr Res 2012; 137:234-40. [PMID: 22341487 PMCID: PMC3351528 DOI: 10.1016/j.schres.2012.01.018] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2011] [Revised: 01/14/2012] [Accepted: 01/17/2012] [Indexed: 11/30/2022]
Abstract
BACKGROUND Finger-tapping has been widely studied using behavioral and neuroimaging paradigms. Evidence supports the use of finger-tapping as an endophenotype in schizophrenia, but its relationship with motor procedural learning remains unexplored. To our knowledge, this study presents the first use of index finger-tapping to study procedural learning in individuals with schizophrenia or schizoaffective disorder (SCZ/SZA) as compared to healthy controls. METHODS A computerized index finger-tapping test was administered to 1169 SCZ/SZA patients (62% male, 88% right-handed), and 689 healthy controls (40% male, 93% right-handed). Number of taps per trial and learning slopes across trials for the dominant and non-dominant hands were examined for motor speed and procedural learning, respectively. RESULTS Both healthy controls and SCZ/SZA patients demonstrated procedural learning for their dominant hand but not for their non-dominant hand. In addition, patients showed a greater capacity for procedural learning even though they demonstrated more variability in procedural learning compared to healthy controls. Left-handers of both groups performed better than right-handers and had less variability in mean number of taps between non-dominant and dominant hands. Males also had less variability in mean tap count between dominant and non-dominant hands than females. As expected, patients had a lower mean number of taps than healthy controls, males outperformed females and dominant-hand trials had more mean taps than non-dominant hand trials in both groups. CONCLUSIONS The index finger-tapping test can measure both motor speed and procedural learning, and motor procedural learning may be intact in SCZ/SZA patients.
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Affiliation(s)
- Felipe N. Da Silva
- Brain Behavior Laboratory, Section of Neuropsychiatry, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-4283, United States
| | - Farzin Irani
- Brain Behavior Laboratory, Section of Neuropsychiatry, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-4283, United States
| | - Jan Richard
- Brain Behavior Laboratory, Section of Neuropsychiatry, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-4283, United States
| | - Colleen M. Brensinger
- Department of Biostatistics, University of Pennsylvania, Philadelphia, PA 19104-4283, United States
| | - Warren B. Bilker
- Department of Biostatistics, University of Pennsylvania, Philadelphia, PA 19104-4283, United States
| | - Raquel E. Gur
- Brain Behavior Laboratory, Section of Neuropsychiatry, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-4283, United States
| | - Ruben C. Gur
- Brain Behavior Laboratory, Section of Neuropsychiatry, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-4283, United States
- Philadelphia Veterans Administration Medical Center, Philadelphia, PA 19104-4283, United States
- Corresponding author: Ruben C. Gur. Present/Permanent Address: Brain Behavior Laboratory, Department of Psychiatry, 10th floor Gates Building, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104-4283, United States. Tel.: +1 215 615 3604; fax: +1 215 662 7903.
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Irani F, Brensinger CM, Richard J, Calkins ME, Moberg PJ, Bilker W, Gur RE, Gur RC. Computerized neurocognitive test performance in schizophrenia: a lifespan analysis. Am J Geriatr Psychiatry 2012; 20:41-52. [PMID: 22183011 PMCID: PMC3243946 DOI: 10.1097/jgp.0b013e3182051a7d] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Computerized neurocognitive batteries based on advanced behavioral neuroscience methods are increasingly used in large-scale clinical and genomic studies. Favorable construct validity in younger schizophrenia patients has been reported, but not in older patients. New variables afforded by computerized assessments were used to clarify age-associated cognitive impairment across the lifespan. METHODS 624 patients with schizophrenia and 624 healthy comparison (HC) subjects age 16-75 completed a 1-2-hour computerized neurocognitive battery (CNB) that assessed abstraction and mental flexibility, attention, working memory, recognition memory (verbal, facial, spatial), language, visuospatial, and emotion processing. Linear mixed effects models tested for group differences in accuracy, response time, and efficiency scores. Contrasts were stratified by age. RESULTS 91% of older (45+) and 94% of younger (< 45) groups provided "good" data quality. After controlling for parental education and project, there were significant three-way interactions for diagnosis x domain x age group on all three outcome variables. Patients performed worse than HC across all neurocognitive domains, except in the oldest group of 60+ patients. Age-stratified analyses did not show differences between younger (16-45) and older patients (45-60, 60+), except for the attention domain. Older patients' reduced working memory efficiency was due to worse speed, not accuracy. Older patients were quicker than younger patients in processing emotions. CONCLUSIONS Computerized assessments are feasible in large cohorts of schizophrenia patients. There is stable and generalized neurocognitive dysfunction across the lifespan in schizophrenia, albeit with fewer differences in some domains between older patients and HC after age 60. Speed-accuracy tradeoff strategies suggest deceleration of some frontal networks and improvements in speed of emotional processing.
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Affiliation(s)
- Farzin Irani
- Department of Psychiatry, Neuropsychiatry Section, University of Pennsylvania, School of Medicine, Philadelphia, PA 19104, USA.
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Stauffer VL, Sniadecki JL, Piezer KW, Gatz J, Kollack-Walker S, Hoffmann VP, Conley R, Durell T. Impact of race on efficacy and safety during treatment with olanzapine in schizophrenia, schizophreniform or schizoaffective disorder. BMC Psychiatry 2010; 10:89. [PMID: 21047395 PMCID: PMC3020682 DOI: 10.1186/1471-244x-10-89] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2009] [Accepted: 11/03/2010] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND To examine potential differences in efficacy and safety of treatment with olanzapine in patients with schizophrenia of white and black descent. METHODS A post-hoc, pooled analysis of 6 randomized, double-blind trials in the treatment of schizophrenia, schizophreniform disorder, or schizoaffective disorder compared white (N = 605) and black (N = 375) patients treated with olanzapine (5 to 20 mg/day) for 24 to 28 weeks. Efficacy measurements included the Positive and Negative Syndrome Scale (PANSS) total score; and positive, negative, and general psychopathology scores; and the Clinical Global Impression of Severity (CGI-S) scores at 6 months. Safety measures included differences in the frequencies of adverse events along with measures of extrapyramidal symptoms, weight, glucose, and lipid changes over time. RESULTS 51% of black patients and 45% of white patients experienced early study discontinuation (P = .133). Of those who discontinued, significantly more white patients experienced psychiatric worsening (P = .002) while significantly more black patients discontinued for reasons other than efficacy or tolerability (P = .014). Discontinuation for intolerability was not different between groups (P = .320). For the estimated change in PANSS total score over 6 months, there was no significant difference in efficacy between white and black patients (P = .928), nor on the estimated PANSS positive (P = .435), negative (P = .756) or general psychopathology (P = .165) scores. Overall, there was no significant difference in the change in CGI-S score between groups from baseline to endpoint (P = .979). Weight change was not significantly different in white and black patients over 6 months (P = .127). However, mean weight change was significantly greater in black versus white patients at Weeks 12 and 20 only (P = .028 and P = .026, respectively). Additionally, a significantly greater percentage of black patients experienced clinically significant weight gain (≥ 7%) at anytime compared to white patients (36.1% vs. 30.4%, P = .021). Changes across metabolic parameters (combined fasting and random lipids and glucose) were also not significantly different between groups, with the exception of a greater categorical change in total cholesterol from borderline to high among white subjects and a categorical change from normal to low in high density lipoprotein (HDL) cholesterol among white males. CONCLUSIONS The findings did not demonstrate overall substantive differences in efficacy or safety between white and black patients diagnosed with schizophrenia or related disorders treated with olanzapine. However, a significantly greater percentage of black patients (36.1%) experienced clinically significant weight gain compared to white patients (30.4%).
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Calkins ME, Tepper P, Gur RC, Ragland JD, Klei L, Wiener HW, Richard J, Savage RM, Allen TB, O'Jile J, Devlin B, Kwentus J, Aliyu MH, Bradford LD, Edwards N, Lyons PD, Nimgaonkar VL, Santos AB, Go RC, Gur RE. Project among African-Americans to explore risks for schizophrenia (PAARTNERS): evidence for impairment and heritability of neurocognitive functioning in families of schizophrenia patients. Am J Psychiatry 2010; 167:459-72. [PMID: 20194479 PMCID: PMC4365798 DOI: 10.1176/appi.ajp.2009.08091351] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE Neurocognitive impairments in schizophrenia are well replicated and widely regarded as candidate endophenotypes that may facilitate understanding of schizophrenia genetics and pathophysiology. The Project Among African-Americans to Explore Risks for Schizophrenia (PAARTNERS) aims to identify genes underlying liability to schizophrenia. The unprecedented size of its study group (N=1,872), made possible through use of a computerized neurocognitive battery, can help further investigation of the genetics of neurocognition. The current analysis evaluated two characteristics not fully addressed in prior research: 1) heritability of neurocognition in African American families and 2) relationship between neurocognition and psychopathology in families of African American probands with schizophrenia or schizoaffective disorder. METHOD Across eight data collection sites, patients with schizophrenia or schizoaffective disorder (N=610), their biological relatives (N=928), and community comparison subjects (N=334) completed a standardized diagnostic evaluation and the computerized neurocognitive battery. Performance accuracy and response time (speed) were measured separately for 10 neurocognitive domains. RESULTS The patients with schizophrenia or schizoaffective disorder exhibited less accuracy and speed in most neurocognitive domains than their relatives both with and without other psychiatric disorders, who in turn were more impaired than comparison subjects in most domains. Estimated trait heritability after inclusion of the mean effect of diagnostic status, age, and sex revealed significant heritabilities for most neurocognitive domains, with the highest for accuracy of abstraction/flexibility, verbal memory, face memory, spatial processing, and emotion processing and for speed of attention. CONCLUSION Neurocognitive functions in African American families are heritable and associated with schizophrenia. They show potential for gene-mapping studies.
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Gur RC, Richard J, Hughett P, Calkins ME, Macy L, Bilker WB, Brensinger C, Gur RE. A cognitive neuroscience-based computerized battery for efficient measurement of individual differences: standardization and initial construct validation. J Neurosci Methods 2009; 187:254-62. [PMID: 19945485 DOI: 10.1016/j.jneumeth.2009.11.017] [Citation(s) in RCA: 358] [Impact Index Per Article: 23.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2009] [Revised: 11/17/2009] [Accepted: 11/23/2009] [Indexed: 11/15/2022]
Abstract
There is increased need for efficient computerized methods to collect reliable data on a range of cognitive domains that can be linked to specific brain systems. Such need arises in functional neuroimaging studies, where individual differences in cognitive performance are variables of interest or serve as confounds. In genetic studies of complex behavior, which require particularly large samples, such trait measures can serve as endophenotypes. Traditional neuropsychological tests, based on clinical pathological correlations, are protracted, require extensive training in administration and scoring, and leave lengthy paper trails (double-entry for analysis). We present a computerized battery that takes an average of 1h and provides measures of accuracy and speed on 9 neurocognitive domains. They are cognitive neuroscience-based in that they have been linked experimentally to specific brain systems with functional neuroimaging studies. We describe the process of translating tasks used in functional neuroimaging to tests for assessing individual differences. Data are presented on each test with samples ranging from 139 (81 female) to 536 (311 female) of carefully screened healthy individuals ranging in age from 18 to 84. Item consistency was established with acceptable to high Cronbach alpha coefficients. Inter-item correlations were moderate to high within domain and low to nil across domains, indicating construct validity. Initial criterion validity was demonstrated by sensitivity to sex differences and the effects of age, education and parental education. These results encourage the use of this battery in studies needing an efficient assessment of major neurocognitive domains such as multi-site genetic studies and clinical trials.
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Affiliation(s)
- Ruben C Gur
- Brain Behavior Laboratory, Section of Neuropsychiatry, Department of Psychiatry, Philadelphia, PA 19104-4283, United States.
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MR I, HW W, RP P, RM S, CP GR. Genetic risk factors for type 2 diabetes with pharmacologic intervention in African-American patients with schizophrenia or schizoaffective disorder. Schizophr Res 2009; 114:50-6. [PMID: 19643578 PMCID: PMC2753171 DOI: 10.1016/j.schres.2009.07.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2009] [Revised: 06/30/2009] [Accepted: 07/06/2009] [Indexed: 10/20/2022]
Abstract
An increased prevalence of type 2 diabetes (T2D) in schizophrenia (SCZ) patients has been observed. Exposure to antipsychotics (APs) has been shown to induce metabolic dysregulation in some patients but not all treated patients. We hypothesized that important candidate genes for T2D may increase risk for T2D in African-American patients with SCZ or schizoaffective disorder. The PAARTNERS study comprises African-American families with at least one proband with SCZ or schizoaffective disorder. The current study of PAARTNERS SCZ and schizoaffective disorder cases (N=820) examined single nucleotide polymorphisms (SNPs) within select T2D candidate genes including transcription factor 7-like 2 (TCF7L2), calpain 10 (CAPN10), and ectoenzyme nucleotide pyrophosphatase phosphodiesterase 1 (ENNP1) for association with prevalent T2D. We report the association of TCF7L2 (rs7903146) with T2D under both additive and recessive models for the risk allele T. Specifically, the odds ratio (OR) for having T2D was 1.4 (p=0.03) under an additive model and 2.4 (p=0.004) under a recessive model. We also report a marginally significant TCF7L2 by AP treatment interaction that should be investigated in future studies. CAPN10 (rs3792267) was marginally associated with T2D with OR=1.5 (p=0.08) when considering the model GG vs. AG/AA with risk allele G. ENPP1 (rs1044498) was not associated with T2D. We conclude TCF7L2, a risk factor for T2D in the general population, is also a risk factor for T2D in African-American patients with SCZ or schizoaffective disorder. Research is needed to determine if T2D associated polymorphisms are of interest in the pharmacogenetics and future treatment choices of antipsychotics in African-American patients.
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Affiliation(s)
- Irvin MR
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham AL
| | - Wiener HW
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham AL
| | - Perry RP
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham AL
| | - Savage RM
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham AL
| | - Go R CP
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham AL
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Talkowski ME, McClain L, Allen T, Bradford LD, Calkins M, Edwards N, Georgieva L, Go R, Gur R, Gur R, Kirov G, Chowdari K, Kwentus J, Lyons P, Mansour H, McEvoy J, O’ Donovan MC, O’Jile J, Owen MJ, Santos A, Savage R, Toncheva D, Vockley G, Wood J, Devlin B, Nimgaonkar VL. Convergent patterns of association between phenylalanine hydroxylase variants and schizophrenia in four independent samples. Am J Med Genet B Neuropsychiatr Genet 2009; 150B:560-9. [PMID: 18937293 PMCID: PMC2738981 DOI: 10.1002/ajmg.b.30862] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Recessive mutations in the phenylalanine hydroxylase (PAH) gene predispose to phenylketonuria (PKU) in conjunction with dietary exposure to phenylalanine. Previous studies have suggested PAH variations could confer risk for schizophrenia, but comprehensive follow-up has not been reported. We analyzed 15 common PAH "tag" SNPs and three exonic variations that are rare in Caucasians but common in African-Americans among four independent samples (total n = 5,414). The samples included two US Caucasian cohorts (260 trios, 230 independent cases, 474 controls), Bulgarian families (659 trios), and an African-American sample (464 families, 401 controls). Analyses of both US Caucasian samples revealed associations with five SNPs; most notably the common allele (G) of rs1522305 from case-control analyses (z = 2.99, P = 0.006). This SNP was independently replicated in the Bulgarian cohort (z = 2.39, P = 0.015). A non-significant trend was also observed among African-American families (z = 1.39, P = 0.165), and combined analyses of all four samples were significant (rs1522305: chi(2) = 23.28, 8 d.f., P = 0.003). Results for rs1522305 met our a priori criteria for statistical significance, namely an association that was robust to multiple testing correction in one sample, a replicated risk allele in multiple samples, and combined analyses that were nominally significant. Case-control results in African-Americans detected an association with L321L (P = 0.047, OR = 1.46). Our analyses suggest several associations at PAH, with consistent evidence for rs1522305. Further analyses, including additional variations and environmental influences such as phenylalanine exposure are warranted.
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Affiliation(s)
- Michael E. Talkowski
- Department of Psychiatry, University of Pittsburgh, Sofia, Bulgaria
,Department of Human Genetics, University of Pittsburgh, Sofia, Bulgaria
| | - Lora McClain
- Department of Psychiatry, University of Pittsburgh, Sofia, Bulgaria
| | - Trina Allen
- Department of John Umstead Hospital, Duke University Medical Center, Sofia, Bulgaria
| | | | - Monica Calkins
- Department of Psychiatry, University of Pennsylvania, Sofia, Bulgaria
| | - Neil Edwards
- Department of Psychiatry, University of Tennessee, Sofia, Bulgaria
| | - Lyudmila Georgieva
- Department of Psychological Medicine, Cardiff University School of Medicine, Sofia, Bulgaria
| | - Rodney Go
- Department of Psychiatry, Behavioral Neurobiology, and Epidemiology, University of Alabama Birmingham, Sofia, Bulgaria
| | - Ruben Gur
- Department of Psychiatry, University of Pennsylvania, Sofia, Bulgaria
| | - Raquel Gur
- Department of Psychiatry, University of Pennsylvania, Sofia, Bulgaria
| | - George Kirov
- Department of Psychological Medicine, Cardiff University School of Medicine, Sofia, Bulgaria
| | | | - Joseph Kwentus
- Department of Psychiatry and Human Behavior, University of Mississippi, Sofia, Bulgaria
| | - Paul Lyons
- Department of Neurology, University of Virginia, Sofia, Bulgaria
| | - Hader Mansour
- Department of Psychiatry, University of Pittsburgh, Sofia, Bulgaria
| | - Joseph McEvoy
- Department of John Umstead Hospital, Duke University Medical Center, Sofia, Bulgaria
| | - Michael C. O’ Donovan
- Department of Psychological Medicine, Cardiff University School of Medicine, Sofia, Bulgaria
| | - Judith O’Jile
- Department of Psychiatry and Human Behavior, University of Mississippi, Sofia, Bulgaria
| | - Michael J. Owen
- Department of Psychological Medicine, Cardiff University School of Medicine, Sofia, Bulgaria
| | - Alberto Santos
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Sofia, Bulgaria
| | - Robert Savage
- Department of Psychiatry, Behavioral Neurobiology, and Epidemiology, University of Alabama Birmingham, Sofia, Bulgaria
| | - Draga Toncheva
- Department of Medical Genetics, Medical University, Sofia, Bulgaria
| | - Gerard Vockley
- Department of Pediatrics, University of Pittsburgh, Sofia, Bulgaria
| | - Joel Wood
- Department of Psychiatry, University of Pittsburgh, Sofia, Bulgaria
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh, Sofia, Bulgaria
,Department of Human Genetics, University of Pittsburgh, Sofia, Bulgaria
| | - Vishwajit L. Nimgaonkar
- Department of Psychiatry, University of Pittsburgh, Sofia, Bulgaria
,Department of Human Genetics, University of Pittsburgh, Sofia, Bulgaria
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Wiener HW, Klei L, Irvin MD, Perry RT, Aliyu MH, Allen TB, Bradford LD, Calkins ME, Devlin B, Edwards N, Gur RE, Gur RC, Kwentus J, Lyons PD, McEvoy JP, Nasrallah HA, Nimgaonkar VL, O'Jile J, Santos AB, Savage RM, Go RCP. Linkage analysis of schizophrenia in African-American families. Schizophr Res 2009; 109:70-9. [PMID: 19264455 PMCID: PMC2721327 DOI: 10.1016/j.schres.2009.02.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2008] [Revised: 02/04/2009] [Accepted: 02/08/2009] [Indexed: 12/12/2022]
Abstract
While many studies have sought a window into the genetics of schizophrenia, few have focused on African-American families. An exception is the Project among African-Americans to Explore Risks for Schizophrenia (PAARTNERS), which seeks to identify novel and known risk variation for schizophrenia by genetic analyses of African-American families. We report a linkage study of diagnostic status in 217 African-American families using the Illumina Linkage Panel. Due to assumed incomplete and time-dependent penetrance, we performed linkage analysis using two different treatments of diagnosis: (1) treating both affected and unaffected individuals as informative for linkage (using the program SIBPAL) and (2) treating only affected individuals as informative (using the program MERLIN). We also explore three definitions of affected status: narrowly defined schizophrenia; one broadened to include schizoaffective disorder; and another including all diagnoses indicating psychosis. Several regions show a decrease in the evidence for linkage as the definition broadens 8q22.1 (rs911, 99.26 cM; SIBPAL p-value [p] goes from 0.006 to 0.02), 16q24.3 (rs1006547, 130.48 cM; p from 0.00095 to 0.0085), and 20q13.2 (rs1022689, 81.73 cM; p from 0.00015 to 0.032). One region shows a substantial increase in evidence for linkage, 11p15.2 (rs722317, 24.27 cM; p from 0.0022 to 0.0000003); MERLIN results support the significance of the SIBPAL results (p=0.00001). Our linkage results overlap two broad, previously-reported linkage regions: 8p23.3-p12 found in studies sampling largely families of European ancestry; and 11p11.2-q22.3 reported by a study of African-American families. These results should prove quite useful for uncovering loci affecting risk for schizophrenia.
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Affiliation(s)
- H W Wiener
- University of Alabama at Birmingham, School of Public Health, Dept. of Epidemiology, 1665 University Blvd., RPHB, Birmingham, AL 35294-0022, USA.
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Carter CS, Barch DM, Gur R, Gur R, Pinkham A, Ochsner K. CNTRICS final task selection: social cognitive and affective neuroscience-based measures. Schizophr Bull 2009; 35:153-62. [PMID: 19011231 PMCID: PMC2643972 DOI: 10.1093/schbul/sbn157] [Citation(s) in RCA: 99] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
This article describes the results and recommendations of the third Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia meeting related to measuring treatment effects on social and affective processing. At the first meeting, it was recommended that measurement development focuses on the construct of emotion identification and responding. Five Tasks were nominated as candidate measures for this construct via the premeeting web-based survey. Two of the 5 tasks were recommended for immediate translation, the Penn Emotion Recognition Task and the Facial Affect Recognition and the Effects of Situational Context, which provides a measure of emotion identification and responding as well as a related, higher level construct, context-based modulation of emotional responding. This article summarizes the criteria-based, consensus building analysis of each nominated task that led to these 2 paradigms being recommended as priority tasks for development as measures of treatment effects on negative symptoms in schizophrenia.
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Affiliation(s)
- Cameron S. Carter
- UC Davis Imaging Research Center, Sacramento, CA,To whom correspondence should be addressed; tel: 916-734-7783, fax: 916-734-7884, e-mail:
| | - Deanna M. Barch
- Department of Psychology, Washington University, St. Louis, MO
| | - Ruben Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Raquel Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Amy Pinkham
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Kevin Ochsner
- Department of Psychology, Columbia University, New York, NY
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Pinkham AE, Sasson NJ, Calkins ME, Richard J, Hughett P, Gur RE, Gur RC. The other-race effect in face processing among African American and Caucasian individuals with schizophrenia. Am J Psychiatry 2008; 165:639-45. [PMID: 18347000 PMCID: PMC7413594 DOI: 10.1176/appi.ajp.2007.07101604] [Citation(s) in RCA: 70] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Studies of emotion recognition abilities in schizophrenia show greater impairment for non-Caucasians with schizophrenia compared with Caucasians. These studies, however, included only Caucasian faces as stimuli. There is evidence from healthy individuals for a performance disadvantage on face memory and emotion recognition when processing faces from a different ethnicity. The authors sought to measure the "other-race effect" in schizophrenia, which could account for previous findings and provide information about sensitivity to such social cues in patients. METHOD The study included 540 participants from four groups: African Americans with schizophrenia (N=135), Caucasians with schizophrenia (N=135), African American community comparison subjects (N=135), and Caucasian community comparison subjects (N=135). All participants completed face recognition and facial emotion identification tasks that included both Caucasian and African American faces as stimuli. RESULTS Although comparison participants performed better than individuals with schizophrenia across all tasks, both comparison participants and participants with schizophrenia exhibited a strong and significant other-race effect for face memory and emotion recognition. The magnitude of the other-race effect did not differ between these two groups. CONCLUSIONS These findings reveal an intact other-race effect in patients with schizophrenia and highlight a methodological concern in the measurement of face processing abilities in schizophrenia, namely, that findings of greater impairment in African American patients are spurious when Caucasian faces are used as stimuli. Despite overall impairments in face memory and emotion recognition, the presence of a normative other-race effect in schizophrenia may reflect typical experiences with faces during development.
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Calkins ME, Dobie DJ, Cadenhead KS, Olincy A, Freedman R, Green MF, Greenwood TA, Gur RE, Gur RC, Light GA, Mintz J, Nuechterlein KH, Radant AD, Schork NJ, Seidman LJ, Siever LJ, Silverman JM, Stone WS, Swerdlow NR, Tsuang DW, Tsuang MT, Turetsky BI, Braff DL. The Consortium on the Genetics of Endophenotypes in Schizophrenia: model recruitment, assessment, and endophenotyping methods for a multisite collaboration. Schizophr Bull 2007; 33:33-48. [PMID: 17035358 PMCID: PMC2632302 DOI: 10.1093/schbul/sbl044] [Citation(s) in RCA: 127] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND The Consortium on the Genetics of Schizophrenia (COGS) is an ongoing, National Institute of Mental Health-funded, 7-site collaboration investigating the occurrence and genetic architecture of quantitative endophenotypes related to schizophrenia. The purpose of this article is to provide a description of the COGS structure and methods, including participant recruitment and assessment. METHODS The hypothesis-driven recruitment strategy ascertains families that include a proband with a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition diagnosis of schizophrenia, and at least one unaffected full sibling available for genotyping and endophenotyping, along with parents available for genotyping and (optional depending on age) endophenotyping. The family structure is selected to provide contrast in quantitative endophenotypic traits and thus to maximize the power of the planned genetic analyses. Probands are recruited from many sources including clinician referrals, local National Alliance for the Mentally Ill chapters, and advertising via the media. All participants undergo a standardized protocol that includes clinical characterization, a blood draw for genotyping, and endophenotype assessments (P50 suppression, prepulse inhibition, antisaccade performance, continuous performance tasks, letter-number span, verbal memory, and a computerized neurocognitive battery). Investigators participate in weekly teleconferences to coordinate and evaluate recruitment, clinical assessment, endophenotyping, and continuous quality control of data gathering and analyses. Data integrity is maintained through use of a highly quality-assured, centralized web-based database. RESULTS As of February 2006, 355 families have been enrolled and 688 participants have been endophenotyped, including schizophrenia probands (n = 154, M:F = 110:44), first-degree biological relatives (n = 343, M:F = 151:192), and community comparison subjects (n = 191, M:F = 81:110). DISCUSSION Successful multisite genetics collaborations must institute standardized methodological criteria for assessment and recruitment that are clearly defined, well communicated, and uniformly applied. In parallel, studies utilizing endophenotypes require strict adherence to criteria for cross-site data acquisition, equipment calibration and testing and software equivalence, and continuous quality assurance for many measures obtained across sites. This report describes methods and presents the structure of the COGS as a model of multisite endophenotype genetic studies. It also provides demographic information after the first 2 years of data collection on a sample for whom the behavioral data and genetics of endophenotype performance will be fully characterized in future articles. Some issues discussed in the reviews that follow reflect the challenges of evaluating endophenotypes in studies of the genetic architecture of endophenotypes in schizophrenia.
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Affiliation(s)
- Monica E. Calkins
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, 10 Gates, 3400 Spruce St, Philadelphia, PA 19104
| | - Dorcas J. Dobie
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
- VA Puget Sound Health Care System, Seattle, WA
| | | | - Ann Olincy
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver, CO
| | - Robert Freedman
- Department of Psychiatry, University of Colorado Health Sciences Center, Denver, CO
| | - Michael F. Green
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA
- VA Greater Los Angeles Healthcare System
| | | | - Raquel E. Gur
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, 10 Gates, 3400 Spruce St, Philadelphia, PA 19104
| | - Ruben C. Gur
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, 10 Gates, 3400 Spruce St, Philadelphia, PA 19104
| | - Gregory A. Light
- Department of Psychiatry, University of California San Diego, San Diego, CA
| | - Jim Mintz
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA
| | - Allen D. Radant
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
- VA Puget Sound Health Care System, Seattle, WA
| | - Nicholas J. Schork
- Department of Psychiatry, University of California San Diego, San Diego, CA
| | - Larry J. Seidman
- Department of Psychiatry, Harvard Medical School, Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA
- Harvard Institute of Psychiatric Epidemiology and Genetics, Boston, MA
| | - Larry J. Siever
- Department of Psychiatry, The Mount Sinai School of Medicine, New York, NY
- James J. Peters VA Medical Center and VISN3, Mental Illness Research Education and Clinical Center's (MIRECC)
| | | | - William S. Stone
- Department of Psychiatry, Harvard Medical School, Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA
- Harvard Institute of Psychiatric Epidemiology and Genetics, Boston, MA
| | - Neal R. Swerdlow
- Department of Psychiatry, University of California San Diego, San Diego, CA
| | - Debby W. Tsuang
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
- VA Puget Sound Health Care System, Seattle, WA
| | - Ming T. Tsuang
- Department of Psychiatry, University of California San Diego, San Diego, CA
- Department of Psychiatry, Harvard Medical School, Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA
- Harvard Institute of Psychiatric Epidemiology and Genetics, Boston, MA
| | - Bruce I. Turetsky
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, 10 Gates, 3400 Spruce St, Philadelphia, PA 19104
| | - David L. Braff
- Department of Psychiatry, University of California San Diego, San Diego, CA
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Gur RE, Calkins ME, Gur RC, Horan WP, Nuechterlein KH, Seidman LJ, Stone WS. The Consortium on the Genetics of Schizophrenia: neurocognitive endophenotypes. Schizophr Bull 2007; 33:49-68. [PMID: 17101692 PMCID: PMC2632287 DOI: 10.1093/schbul/sbl055] [Citation(s) in RCA: 264] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
The Consortium on the Genetics of Schizophrenia (COGS) is a 7-site collaboration that examines the genetic architecture of quantitative endophenotypes in families with schizophrenia. Here we review the background and rationale for selecting neurocognitive tasks as endophenotypic measures in genetic studies. Criteria are outlined for the potential of measures as endophenotypic vulnerability markers. These include association with illness, state independence (ie, adequate test-retest stability, adequate between-site reliability, impairments in patients not due to medications, impairments observed regardless of illness state), heritability, findings of higher rates in relatives of probands than in the general population, and cosegregation within families. The COGS required that, in addition, the measures be "neurocognitive" and thus linked to neurobiology and that they be feasible in multisite studies. The COGS neurocognitive assessment includes measures of attention, verbal memory, working memory, and a computerized neurocognitive battery that also includes facial processing tasks. Here we describe data demonstrating that these neurobehavioral measures meet criteria for endophenotypic candidacy. We conclude that quantitative neurocognitive endophenotypes need further evidence for efficacy in identifying genetic effects but have the potential of providing unprecedented insight into gene-environment interaction related to dimensions of brain and behavior in health and disease.
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Affiliation(s)
- Raquel E Gur
- Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania, 10 Gates, 3400 Spruce St., Philadelphia, PA 19104, USA.
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