Genetic influences on cognitive endophenotypes in schizophrenia
Abstract Background Cognitive deficits are prominent in schizophrenia and represent promising endophenotypes for genetic research. Methods The current study investigated the importance of two conceptually distinct genetic aggregates, one based on copy number variations (uncommon deletion burden), an...
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Published in | Schizophrenia research Vol. 156; no. 1; pp. 71 - 75 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.06.2014
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Abstract | Abstract Background Cognitive deficits are prominent in schizophrenia and represent promising endophenotypes for genetic research. Methods The current study investigated the importance of two conceptually distinct genetic aggregates, one based on copy number variations (uncommon deletion burden), and one based on single nucleotide polymorphisms identified in recent risk studies (genetic risk score). The impact of these genetic factors, and their interaction, was examined on cognitive endophenotypes defined by principal component analysis (PCA) in a multi-center sample of 50 patients with schizophrenia and 86 controls. PCA was used to identify three different types of executive function (EF: planning, fluency, and inhibition), and in separate analyses, a measure general cognitive ability (GCA). Results Cognitive deficits were prominent among individuals with schizophrenia, but no group differences were evident for either genetic factor. Among patients the deletion burden measures predicted cognitive deficits across the three EF components and GCA. Further, an interaction was noted between the two genetic factors for both EF and GCA and the observed patterns of interaction suggested antagonistic epistasis. In general, the set of genetic interactions examined predicted a substantial portion of variance in these cognitive endophenotypes. Limitations Though adequately powered, our sample size is small for a genetic study. Conclusions These results draw attention to genetic interactions and the possibility that genetic influences on cognition differ in patients and controls. |
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AbstractList | BACKGROUNDCognitive deficits are prominent in schizophrenia and represent promising endophenotypes for genetic research. METHODSThe current study investigated the importance of two conceptually distinct genetic aggregates, one based on copy number variations (uncommon deletion burden), and one based on single nucleotide polymorphisms identified in recent risk studies (genetic risk score). The impact of these genetic factors, and their interaction, was examined on cognitive endophenotypes defined by principal component analysis (PCA) in a multi-center sample of 50 patients with schizophrenia and 86 controls. PCA was used to identify three different types of executive function (EF: planning, fluency, and inhibition), and in separate analyses, a measure general cognitive ability (GCA). RESULTSCognitive deficits were prominent among individuals with schizophrenia, but no group differences were evident for either genetic factor. Among patients the deletion burden measures predicted cognitive deficits across the three EF components and GCA. Further, an interaction was noted between the two genetic factors for both EF and GCA and the observed patterns of interaction suggested antagonistic epistasis. In general, the set of genetic interactions examined predicted a substantial portion of variance in these cognitive endophenotypes. LIMITATIONSThough adequately powered, our sample size is small for a genetic study. CONCLUSIONSThese results draw attention to genetic interactions and the possibility that genetic influences on cognition differ in patients and controls. Cognitive deficits are prominent in schizophrenia and represent promising endophenotypes for genetic research. The current study investigated the importance of two conceptually distinct genetic aggregates, one based on copy number variations (uncommon deletion burden), and one based on single nucleotide polymorphisms identified in recent risk studies (genetic risk score). The impact of these genetic factors, and their interaction, was examined on cognitive endophenotypes defined by principal component analysis (PCA) in a multi-center sample of 50 patients with schizophrenia and 86 controls. PCA was used to identify three different types of executive function (EF: planning, fluency, and inhibition), and in separate analyses, a measure general cognitive ability (GCA). Cognitive deficits were prominent among individuals with schizophrenia, but no group differences were evident for either genetic factor. Among patients the deletion burden measures predicted cognitive deficits across the three EF components and GCA. Further, an interaction was noted between the two genetic factors for both EF and GCA and the observed patterns of interaction suggested antagonistic epistasis. In general, the set of genetic interactions examined predicted a substantial portion of variance in these cognitive endophenotypes. Though adequately powered, our sample size is small for a genetic study. These results draw attention to genetic interactions and the possibility that genetic influences on cognition differ in patients and controls. Abstract Background Cognitive deficits are prominent in schizophrenia and represent promising endophenotypes for genetic research. Methods The current study investigated the importance of two conceptually distinct genetic aggregates, one based on copy number variations (uncommon deletion burden), and one based on single nucleotide polymorphisms identified in recent risk studies (genetic risk score). The impact of these genetic factors, and their interaction, was examined on cognitive endophenotypes defined by principal component analysis (PCA) in a multi-center sample of 50 patients with schizophrenia and 86 controls. PCA was used to identify three different types of executive function (EF: planning, fluency, and inhibition), and in separate analyses, a measure general cognitive ability (GCA). Results Cognitive deficits were prominent among individuals with schizophrenia, but no group differences were evident for either genetic factor. Among patients the deletion burden measures predicted cognitive deficits across the three EF components and GCA. Further, an interaction was noted between the two genetic factors for both EF and GCA and the observed patterns of interaction suggested antagonistic epistasis. In general, the set of genetic interactions examined predicted a substantial portion of variance in these cognitive endophenotypes. Limitations Though adequately powered, our sample size is small for a genetic study. Conclusions These results draw attention to genetic interactions and the possibility that genetic influences on cognition differ in patients and controls. |
Author | Mayer, Andrew R Morrow, Eric M Sponheim, Scott R Liu, Jingyu Gangestad, Steven W Yeo, Ronald A Ehrlich, Stefan Pommy, Jessica Walton, Esther Schulz, S. Charles Wassink, Thomas H Bustillo, Juan R Turner, Jessica A Calhoun, Vince D Ho, Beng-Choon |
AuthorAffiliation | 10 Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA 12 Department of Molecular Biology, Cell Biology and Biochemistry, Laboratory for Molecular Medicine, Brown University, Providence, RI, USA 6 Dept of Psychology and the Neuroscience Institute, Georgia State University, Atlanta, GA 8 Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA 7 Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA 3 MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA 5 Department of Psychiatry, Massachusetts General Hospital, Boston, MA 11 Minneapolis Veterans Administration Health Care System, Minneapolis, MN, USA 1 Department of Psychology, University of New Mexico, Albuquerque, NM, USA 2 The Mind Research Network, Albuquerque, NM, USA 4 Department of Child and Adolescent Psychiatry, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany 9 Depart |
AuthorAffiliation_xml | – name: 11 Minneapolis Veterans Administration Health Care System, Minneapolis, MN, USA – name: 2 The Mind Research Network, Albuquerque, NM, USA – name: 8 Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA – name: 3 MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA – name: 5 Department of Psychiatry, Massachusetts General Hospital, Boston, MA – name: 1 Department of Psychology, University of New Mexico, Albuquerque, NM, USA – name: 9 Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA – name: 12 Department of Molecular Biology, Cell Biology and Biochemistry, Laboratory for Molecular Medicine, Brown University, Providence, RI, USA – name: 6 Dept of Psychology and the Neuroscience Institute, Georgia State University, Atlanta, GA – name: 7 Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA – name: 10 Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA – name: 4 Department of Child and Adolescent Psychiatry, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany |
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Keywords | Schizophrenia Genetics Executive function Cognitive Mutation Endophenotype Psychosis Human Cognition Genetic determinism |
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Snippet | Abstract Background Cognitive deficits are prominent in schizophrenia and represent promising endophenotypes for genetic research. Methods The current study... Cognitive deficits are prominent in schizophrenia and represent promising endophenotypes for genetic research. The current study investigated the importance of... BACKGROUNDCognitive deficits are prominent in schizophrenia and represent promising endophenotypes for genetic research. METHODSThe current study investigated... |
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SubjectTerms | Adult Adult and adolescent clinical studies Analysis of Variance Biological and medical sciences Cognition Disorders - etiology Cognition Disorders - genetics Cognitive Endophenotype Endophenotypes Executive function Female Follow-Up Studies Genetic Association Studies Genetic Predisposition to Disease - genetics Genetics Humans Male Medical sciences Mutation Neuropsychological Tests Principal Component Analysis Psychiatric Status Rating Scales Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Psychoses Schizophrenia Schizophrenia - complications Schizophrenia - genetics Young Adult |
Title | Genetic influences on cognitive endophenotypes in schizophrenia |
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