Genome-wide association study of monoamine metabolite levels in human cerebrospinal fluid
Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype–phenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as t...
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Published in | Molecular psychiatry Vol. 19; no. 2; pp. 228 - 234 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.02.2014
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 1359-4184 1476-5578 1476-5578 |
DOI | 10.1038/mp.2012.183 |
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Abstract | Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype–phenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized β=0.32,
P
=4.92 × 10
−8
), located 20 kb from
SSTR1
, a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of
PDE9A
(β=0.21;
P
unadjusted
=5.6 × 10
−7
;
P
corrected
=0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A
post hoc
analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at
CSMD1
, a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes. |
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AbstractList | Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype-phenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized beta =0.32, P=4.92 10 super(-8)), located 20 kb from SSTR1, a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of PDE9A ( beta =0.21; P sub(unadjusted)=5.6 10 super(-7); P sub(corrected)=0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A post hoc analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at CSMD1, a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes. Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotypephenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized β = 0.32, P = 4.92 x [10.sup.-8]), located 20 kb from SSTR1, a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of PDE9A (β = 0.21; [P.sub.unadjusted] = 5.6 x [10.sup.-7]; [P.sub.corrected] = 0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A post hoc analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at C5MD7, a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes. Molecular Psychiatry (2014) 19, 228-234; doi:10.1038/mp.2012.183; published online 15 January 2013 Keywords: cerebrospinal fluid; CSMD7; genome-wide association study; monoamine; PDE9A; SSTR1 rs11221522 11 129 0.22 rs1881744 12 47.8 0.10 4.60 x [10.sup.-7] -0.24 TP53AIP1/ 7.76 x [10.sup.-6] 0.23 SNORA64.2 2.92 + 74.9 + Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype–phenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized β=0.32, P =4.92 × 10 −8 ), located 20 kb from SSTR1 , a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of PDE9A (β=0.21; P unadjusted =5.6 × 10 −7 ; P corrected =0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A post hoc analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at CSMD1 , a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes. Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype-phenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized β=0.32, P=4.92 × 10(-8)), located 20 kb from SSTR1, a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of PDE9A (β=0.21; P unadjusted=5.6 × 10(-7); P corrected=0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A post hoc analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at CSMD1, a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes.Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype-phenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized β=0.32, P=4.92 × 10(-8)), located 20 kb from SSTR1, a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of PDE9A (β=0.21; P unadjusted=5.6 × 10(-7); P corrected=0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A post hoc analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at CSMD1, a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes. Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype–phenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized β=0.32, P=4.92 × 10−8), located 20 kb from SSTR1, a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of PDE9A (β=0.21; Punadjusted=5.6 × 10−7; Pcorrected=0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A post hoc analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at CSMD1, a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes. Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotypephenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized β = 0.32, P = 4.92 x [10.sup.-8]), located 20 kb from SSTR1, a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of PDE9A (β = 0.21; [P.sub.unadjusted] = 5.6 x [10.sup.-7]; [P.sub.corrected] = 0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A post hoc analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at C5MD7, a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes. Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype-phenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized [beta]=0.32, P=4.92 × 10(-8)), located 20 kb from SSTR1, a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of PDE9A ([beta]=0.21; P unadjusted=5.6 × 10(-7); P corrected=0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A post hoc analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at CSMD1, a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes. Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype-phenotype correlations. Metabolic traits pertinent to the central nervous system (CNS) constitute a potentially informative target for genetic studies of intermediate phenotypes as their genetic underpinnings may elucidate etiological mechanisms. We therefore conducted a genome-wide association study (GWAS) of monoamine metabolite (MM) levels in cerebrospinal fluid (CSF) of 414 human subjects from the general population. In a linear model correcting for covariates, we identified one locus associated with MMs at a genome-wide significant level (standardized β=0.32, P=4.92 × 10(-8)), located 20 kb from SSTR1, a gene involved with brain signal transduction and glutamate receptor signaling. By subsequent whole-genome expression quantitative trait locus (eQTL) analysis, we provide evidence that this variant controls expression of PDE9A (β=0.21; P unadjusted=5.6 × 10(-7); P corrected=0.014), a gene previously implicated in monoaminergic transmission, major depressive disorder and antidepressant response. A post hoc analysis of loci significantly associated with psychiatric disorders suggested that genetic variation at CSMD1, a schizophrenia susceptibility locus, plays a role in the ratio between dopamine and serotonin metabolites in CSF. The presented DNA and mRNA analyses yielded genome-wide and suggestive associations in biologically plausible genes, two of which encode proteins involved with glutamate receptor functionality. These findings will hopefully contribute to an exploration of the functional impact of the highlighted genes on monoaminergic transmission and neuropsychiatric phenotypes. |
Audience | Academic |
Author | Lu, A Keijzers, P Bruins, P Eskin, E Kahn, R S Neeleman, M Borgdorff, P Mentink, L de Jong, S van Setten, J Bakker, S C Buizer-Voskamp, J E van Amerongen, M Cantor, R M Sul, J H van Eijk, K Kappen, T van Dongen, E P A Luykx, J J DeYoung, J Strengman, E Derks, E M Ophoff, R A Lentjes, E |
Author_xml | – sequence: 1 givenname: J J surname: Luykx fullname: Luykx, J J organization: Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Department of Medical Genetics, University Medical Center Utrecht – sequence: 2 givenname: S C surname: Bakker fullname: Bakker, S C organization: Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht – sequence: 3 givenname: E surname: Lentjes fullname: Lentjes, E organization: Department of Clinical Chemistry and Hematology, University Medical Center Utrecht – sequence: 4 givenname: M surname: Neeleman fullname: Neeleman, M organization: Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht – sequence: 5 givenname: E surname: Strengman fullname: Strengman, E organization: Department of Medical Genetics, University Medical Center Utrecht – sequence: 6 givenname: L surname: Mentink fullname: Mentink, L organization: Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Department of Medical Genetics, University Medical Center Utrecht – sequence: 7 givenname: J surname: DeYoung fullname: DeYoung, J organization: Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles – sequence: 8 givenname: S surname: de Jong fullname: de Jong, S organization: Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles – sequence: 9 givenname: J H surname: Sul fullname: Sul, J H organization: Computer Science Department, University of California, Los Angeles – sequence: 10 givenname: E surname: Eskin fullname: Eskin, E organization: Computer Science Department, University of California, Los Angeles, Department of Human Genetics, University of California, Los Angeles – sequence: 11 givenname: K surname: van Eijk fullname: van Eijk, K organization: Department of Medical Genetics, University Medical Center Utrecht – sequence: 12 givenname: J surname: van Setten fullname: van Setten, J organization: Department of Medical Genetics, University Medical Center Utrecht – sequence: 13 givenname: J E surname: Buizer-Voskamp fullname: Buizer-Voskamp, J E organization: Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht – sequence: 14 givenname: R M surname: Cantor fullname: Cantor, R M organization: Department of Human Genetics, University of California, Los Angeles – sequence: 15 givenname: A surname: Lu fullname: Lu, A organization: Department of Human Genetics, University of California, Los Angeles – sequence: 16 givenname: M surname: van Amerongen fullname: van Amerongen, M organization: Department of Anesthesiology, Ter Gooi Hospitals – sequence: 17 givenname: E P A surname: van Dongen fullname: van Dongen, E P A organization: Department of Anesthesiology, Intensive Care and Pain Management, St Antonius Hospital – sequence: 18 givenname: P surname: Keijzers fullname: Keijzers, P organization: Department of Anesthesiology, Central Military Hospital – sequence: 19 givenname: T surname: Kappen fullname: Kappen, T organization: Department of Anesthesiology, Intensive Care and Pain Management, University Medical Center Utrecht – sequence: 20 givenname: P surname: Borgdorff fullname: Borgdorff, P organization: Department of Anesthesiology, Intensive Care and Pain Management, Diakonessenhuis Hospital – sequence: 21 givenname: P surname: Bruins fullname: Bruins, P organization: Department of Anesthesiology, Intensive Care and Pain Management, St Antonius Hospital – sequence: 22 givenname: E M surname: Derks fullname: Derks, E M organization: Department of Psychiatry, Academic Medical Center – sequence: 23 givenname: R S surname: Kahn fullname: Kahn, R S organization: Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht – sequence: 24 givenname: R A surname: Ophoff fullname: Ophoff, R A email: rophoff@mednet.ucla.edu organization: Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Department of Human Genetics, University of California, Los Angeles |
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ContentType | Journal Article |
Copyright | Macmillan Publishers Limited 2014 2015 INIST-CNRS COPYRIGHT 2014 Nature Publishing Group Copyright Nature Publishing Group Feb 2014 Macmillan Publishers Limited 2014. |
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Snippet | Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype–phenotype correlations. Metabolic traits... Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotype-phenotype correlations. Metabolic traits... Studying genetic determinants of intermediate phenotypes is a powerful tool to increase our understanding of genotypephenotype correlations. Metabolic traits... |
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SubjectTerms | 3',5'-Cyclic-AMP Phosphodiesterases - genetics 631/208/205/2138 692/699/476/377 Adult Anesthesiology Behavioral Sciences Biogenic Monoamines - cerebrospinal fluid Biological and medical sciences Biological Psychology Brain research Central nervous system Cerebrospinal fluid Chromosomes, Human, Pair 11 Dopamine Female Gene Expression Genes Genetic diversity Genetic Loci Genetic Variation Genome-wide association studies Genome-Wide Association Study Genomes Genotypes Genotyping Techniques Glutamic acid receptors Homovanillic Acid - cerebrospinal fluid Humans Hydroxyindoleacetic Acid - cerebrospinal fluid Identification and classification Intensive care Linear Models Male Medical sciences Medicine Medicine & Public Health Membrane Proteins - genetics Mental depression Mental disorders Mental Disorders - genetics Metabolism Metabolites Methoxyhydroxyphenylglycol - cerebrospinal fluid Monoamines mRNA Nervous system Neural transmission Neurosciences original-article Pain management Pharmacotherapy Phenotypes Polymorphism Polymorphism, Single Nucleotide Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Quantitative genetics Quantitative trait loci Schizophrenia Serotonin Signal transduction Susceptibility Testing |
Title | Genome-wide association study of monoamine metabolite levels in human cerebrospinal fluid |
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