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Sponsors and Collaborators: |
University of Maryland National Institutes of Health (NIH) |
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Information provided by: | University of Maryland |
ClinicalTrials.gov Identifier: | NCT00666146 |
We propose to recruit 150 case families (i.e., families with a schizophrenia proband), 150 control families, and 45 control subjects who exhibit schizophrenia spectrum personality symptoms in the absence of a family history of schizophrenia. Participants will undergo a number of clinical, electrophysiological, perceptual, and cognitive assessments. These data will be used to identify phenotypes likely to be associated with genetic risk for schizophrenia, and to determine how these phenotypes aggregate in families. Some of the analyses will focus on examining associations between candidate genes and these alternative phenotypes. Thus if we are not able to recruit relatives we may still collect these phenotypic data in probands and their genetic sample for future genotype/phenotype association studies. Testing procedures require a 10-12 hour time commitment and testing will be completed over 2 or more days. Participants will be asked to give a blood (or saliva if difficult to obtain blood sample for instance because of fear of blood draws), which will be stored for future genetic analyses.
Condition |
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Schizophrenia |
Study Type: | Observational |
Study Design: | Family-Based |
Official Title: | Familial Schizophrenia and Spectrum Personality Disorders |
Blood sample for DNA extraction
Estimated Enrollment: | 1115 |
Study Start Date: | July 2004 |
Estimated Study Completion Date: | July 2009 |
Estimated Primary Completion Date: | July 2009 (Final data collection date for primary outcome measure) |
Groups/Cohorts |
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1
Case Families ( Family with a schizophrenia proband)
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Control Families
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Control subjects
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Specific aims of the proposed study are:
To test the hypothesis that abnormalities in predictive pursuit, antisaccade performance, working memory, visual attention (CPT), sensory gating (PPI and P50) and other measures of information processing mark the liability for schizophrenia. Secondly, we will examine the pattern of familial aggregation of these measures to determine whether observed deficits are likely to reflect genetic and/or environmental effects. The hypothesis will be supported if
(a) the frequency of these neurophysiological deficits is higher in relatives of schizophrenic probands than in relatives of control probands; (b) the prevalence of neurophysiological abnormalities is higher in case relatives with SSP symptoms than in nonSSP case relatives; (c) risk is increased among case relatives of "affected" probands vs. case relatives of "unaffected" probands (i.e., risk in relatives of case probands who exhibit an abnormality vs. relatives of case probands who do not).
To test the hypothesis that some physiological deficits reflect a common underlying phenotype, while others mark independent aspects of disease risk.
To test this hypothesis (a) we will examine correlation matrices (adjusted for within family correlation) for neurophysiological assessments among case relatives and control relatives. Factor structures in the two groups will be examined using exploratory factor analyses, followed by confirmatory factor analyses using validation samples of case/control relatives. Confirmatory Factor Analyses (CFA) will also be used to determine how factor solutions based on case/control relatives fit the data of case probands. (b) Factor scores for correlated measures will be derived and the familial risk for composite measures of neurophysiological functioning estimated using the methods described in Specific Aim 1. (c) Secondary within family analyses will be performed to estimate the heritability of derived factor scores and to determine whether patterns of familial correlations suggest a genetic or environmental cause.
Ages Eligible for Study: | 16 Years and older |
Genders Eligible for Study: | Both |
Accepts Healthy Volunteers: | Yes |
Sampling Method: | Non-Probability Sample |
Subjects will be recruited from the University of Maryland, Baltimore VA, Community Mental Health Center, Private Psychiatrists
Inclusion Criteria:
Exclusion Criteria:
Contact: Jennifer Jones | 410-402-6823 | jjones@mprc.umaryland.edu |
Contact: Dawn R Detamore | 410-402-6820 | ddetamor@mprc.umaryland.edu |
United States, Maryland | |
University of Maryland, Baltimore | Recruiting |
Catonsville, Maryland, United States, 21228 | |
Contact: Jennifer L Jones 410-402-6823 jjones@mprc.umaryland.edu | |
Principal Investigator: Gunvant K. Thaker, M.D. | |
VA Medical Center | Active, not recruiting |
Baltimore, Maryland, United States, 21201 | |
Community Mental Health Centers | Recruiting |
Baltimore, Maryland, United States, 21201 | |
Contact: Jennifer L Jones 410-402-6823 |
Principal Investigator: | Gunvant K Thaker, M.D. | University of Maryland |
Responsible Party: | University of Maryland, Baltimore MPRC ( Gunvant K. Thaker ) |
Study ID Numbers: | H23545 |
Study First Received: | April 21, 2008 |
Last Updated: | October 24, 2008 |
ClinicalTrials.gov Identifier: | NCT00666146 History of Changes |
Health Authority: | United States: Institutional Review Board |
Schizophrenia Genetics Eyetracking |
Schizophrenia Mental Disorders Psychotic Disorders Schizophrenia and Disorders with Psychotic Features Personality Disorders |
Schizophrenia Mental Disorders Schizophrenia and Disorders with Psychotic Features Personality Disorders |