1
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Hommers L, Scherf-Clavel M, Strempel R, Roth J, Hohner M, Pfuhlmann B, Mattheisen M, Deckert J, Gawlik M, Unterecker S. Antipsychotics in routine treatment are minor contributors to QTc prolongation compared to genetics and age. PHARMACOPSYCHIATRY 2020. [DOI: 10.1055/s-0039-3403007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- L Hommers
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
| | - M Scherf-Clavel
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
| | - R Strempel
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
| | - J Roth
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
| | - M Hohner
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
| | - B Pfuhlmann
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
| | - M Mattheisen
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
| | - J Deckert
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
| | - M Gawlik
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
| | - S Unterecker
- Universitätsklinikum Würzburg, Zentrum für Psychische Gesundheit, Germany
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2
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Schweiger JI, Bilek E, Schäfer A, Braun U, Moessnang C, Harneit A, Post P, Otto K, Romanczuk-Seiferth N, Erk S, Wackerhagen C, Mattheisen M, Mühleisen TW, Cichon S, Nöthen MM, Frank J, Witt SH, Rietschel M, Heinz A, Walter H, Meyer-Lindenberg A, Tost H. Effects of BDNF Val 66Met genotype and schizophrenia familial risk on a neural functional network for cognitive control in humans. Neuropsychopharmacology 2019; 44:590-597. [PMID: 30375508 PMCID: PMC6333795 DOI: 10.1038/s41386-018-0248-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 09/25/2018] [Accepted: 10/16/2018] [Indexed: 12/16/2022]
Abstract
Cognitive control represents an essential neuropsychological characteristic that allows for the rapid adaption of a changing environment by constant re-allocation of cognitive resources. This finely tuned mechanism is impaired in psychiatric disorders such as schizophrenia and contributes to cognitive deficits. Neuroimaging has highlighted the contribution of the anterior cingulate cortex (ACC) and prefrontal regions (PFC) on cognitive control and demonstrated the impact of genetic variation, as well as genetic liability for schizophrenia. In this study, we aimed to examine the influence of the functional single-nucleotide polymorphism (SNP) rs6265 of a plasticity-related neurotrophic factor gene, BDNF (Val66Met), on cognitive control. Strong evidence implicates BDNF Val66Met in neural plasticity in humans. Furthermore, several studies suggest that although the variant is not convincingly associated with schizophrenia risk, it seems to be a modifier of the clinical presentation and course of the disease. In order to clarify the underlying mechanisms using functional magnetic resonance imaging (fMRI), we studied the effects of this SNP on ACC and PFC activation, and the connectivity between these regions in a discovery sample of 85 healthy individuals and sought to replicate this effect in an independent sample of 253 individuals. Additionally, we tested the identified imaging phenotype in relation to schizophrenia familial risk in a sample of 58 unaffected first-degree relatives of schizophrenia patients. We found a significant increase in interregional connectivity between ACC and PFC in the risk-associated BDNF 66Met allele carriers. Furthermore, we replicated this effect in an independent sample and demonstrated its independence of structural confounds, as well as task specificity. A similar coupling increase was detectable in individuals with increased familial risk for schizophrenia. Our results show that a key neural circuit for cognitive control is influenced by a plasticity-related genetic variant, which may render this circuit particular susceptible to genetic and environmental risk factors for schizophrenia.
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Affiliation(s)
- J. I. Schweiger
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - E. Bilek
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - A. Schäfer
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - U. Braun
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - C. Moessnang
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - A. Harneit
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - P. Post
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - K. Otto
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - N. Romanczuk-Seiferth
- 0000 0001 2218 4662grid.6363.0Department of Psychiatry and Psychotherapy, Charité - University Medicine Berlin, Campus Mitte, Berlin, Germany
| | - S. Erk
- 0000 0001 2218 4662grid.6363.0Department of Psychiatry and Psychotherapy, Charité - University Medicine Berlin, Campus Mitte, Berlin, Germany
| | - C. Wackerhagen
- 0000 0001 2218 4662grid.6363.0Department of Psychiatry and Psychotherapy, Charité - University Medicine Berlin, Campus Mitte, Berlin, Germany
| | - M. Mattheisen
- 0000 0001 1956 2722grid.7048.bDepartment of Biomedicine and Centre for Integrative Sequencing, iSEQ Aarhus University, Aarhus, Denmark ,grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
| | - T. W. Mühleisen
- 0000 0001 2297 375Xgrid.8385.6Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany ,0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland
| | - S. Cichon
- 0000 0001 2297 375Xgrid.8385.6Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - M. M. Nöthen
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, Sigmund-Freud-Str. 25, Bonn, 53127 Germany ,0000 0001 2240 3300grid.10388.32Department of Genomics, Life & Brain Center, University of Bonn, Sigmund-Freud-Str. 25, Bonn, 53127 Germany
| | - J. Frank
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - S. H. Witt
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - M. Rietschel
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - A. Heinz
- 0000 0001 2218 4662grid.6363.0Department of Psychiatry and Psychotherapy, Charité - University Medicine Berlin, Campus Mitte, Berlin, Germany
| | - H. Walter
- 0000 0001 2218 4662grid.6363.0Department of Psychiatry and Psychotherapy, Charité - University Medicine Berlin, Campus Mitte, Berlin, Germany
| | - A. Meyer-Lindenberg
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - H. Tost
- 0000 0001 2190 4373grid.7700.0Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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3
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Lescai F, Als TD, Li Q, Nyegaard M, Andorsdottir G, Biskopstø M, Hedemand A, Fiorentino A, O'Brien N, Jarram A, Liang J, Grove J, Pallesen J, Eickhardt E, Mattheisen M, Bolund L, Demontis D, Wang AG, McQuillin A, Mors O, Wang J, Børglum AD. Whole-exome sequencing of individuals from an isolated population implicates rare risk variants in bipolar disorder. Transl Psychiatry 2017; 7:e1034. [PMID: 28195573 PMCID: PMC5438033 DOI: 10.1038/tp.2017.3] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 11/30/2016] [Indexed: 12/20/2022] Open
Abstract
Bipolar disorder affects about 1% of the world's population, and its estimated heritability is about 75%. Only few whole genome or whole-exome sequencing studies in bipolar disorder have been reported, and no rare coding variants have yet been robustly identified. The use of isolated populations might help finding variants with a recent origin, more likely to have drifted to higher frequency by chance. Following this approach, we investigated 28 bipolar cases and 214 controls from the Faroe Islands by whole exome sequencing, and the results were followed-up in a British sample of 2025 cases and 1358 controls. Seventeen variants in 16 genes in the single-variant analysis, and 3 genes in the gene-based statistics surpassed exome-wide significance in the discovery phase. The discovery findings were supported by enrichment analysis of common variants from genome-wide association studies (GWAS) data and interrogation of protein-protein interaction networks. The replication in the British sample confirmed the association with NOS1 (missense variant rs79487279) and NCL (gene-based test). A number of variants from the discovery set were not present in the replication sample, including a novel PITPNM2 missense variant, which is located in a highly significant schizophrenia GWAS locus. Likewise, PIK3C2A identified in the gene-based analysis is located in a combined bipolar and schizophrenia GWAS locus. Our results show support both for existing findings in the literature, as well as for new risk genes, and identify rare variants that might provide additional information on the underlying biology of bipolar disorder.
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Affiliation(s)
- F Lescai
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
| | - T D Als
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
| | - Q Li
- BGI-Shenzhen, Shenzhen, China
| | - M Nyegaard
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
| | - G Andorsdottir
- Genetic Biobank of the Faroe Islands, Tórshavn, Faroe Islands
| | - M Biskopstø
- Genetic Biobank of the Faroe Islands, Tórshavn, Faroe Islands
| | - A Hedemand
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
| | - A Fiorentino
- Division of Psychiatry, University College London, London, UK
| | - N O'Brien
- Division of Psychiatry, University College London, London, UK
| | - A Jarram
- Division of Psychiatry, University College London, London, UK
| | - J Liang
- BGI-Shenzhen, Shenzhen, China
| | - J Grove
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- BiRC—Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - J Pallesen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
| | - E Eickhardt
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
| | - M Mattheisen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
| | - L Bolund
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Aarhus University Hospital, Risskov, Aarhus, Denmark
| | - D Demontis
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
| | - A G Wang
- Mental Health Centre Amager, Copenhagen, Denmark
| | | | - O Mors
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Aarhus University Hospital, Risskov, Aarhus, Denmark
| | - J Wang
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- BGI-Shenzhen, Shenzhen, China
| | - A D Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH—The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- iSEQ—Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
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4
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Erk S, Mohnke S, Ripke S, Lett TA, Veer IM, Wackerhagen C, Grimm O, Romanczuk-Seiferth N, Degenhardt F, Tost H, Mattheisen M, Mühleisen TW, Charlet K, Skarabis N, Kiefer F, Cichon S, Witt SH, Nöthen MM, Rietschel M, Heinz A, Meyer-Lindenberg A, Walter H. Functional neuroimaging effects of recently discovered genetic risk loci for schizophrenia and polygenic risk profile in five RDoC subdomains. Transl Psychiatry 2017; 7:e997. [PMID: 28072415 PMCID: PMC5545733 DOI: 10.1038/tp.2016.272] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 11/13/2016] [Indexed: 12/23/2022] Open
Abstract
Recently, 125 loci with genome-wide support for association with schizophrenia were identified. We investigated the impact of these variants and their accumulated genetic risk on brain activation in five neurocognitive domains of the Research Domain Criteria (working memory, reward processing, episodic memory, social cognition and emotion processing). In 578 healthy subjects we tested for association (i) of a polygenic risk profile score (RPS) including all single-nucleotide polymorphisms (SNPs) reaching genome-wide significance in the recent genome-wide association studies (GWAS) meta-analysis and (ii) of all independent genome-wide significant loci separately that showed sufficient distribution of all allelic groups in our sample (105 SNPs). The RPS was nominally associated with perigenual anterior cingulate and posterior cingulate/precuneus activation during episodic memory (PFWE(ROI)=0.047) and social cognition (PFWE(ROI)=0.025), respectively. Single SNP analyses revealed that rs9607782, located near EP300, was significantly associated with amygdala recruitment during emotion processing (PFWE(ROI)=1.63 × 10-4, surpassing Bonferroni correction for the number of SNPs). Importantly, this association was replicable in an independent sample (N=150; PFWE(ROI)<0.025). Other SNP effects previously associated with imaging phenotypes were nominally significant, but did not withstand correction for the number of SNPs tested. To assess whether there was true signal within our data, we repeated single SNP analyses with 105 randomly chosen non-schizophrenia-associated variants, observing fewer significant results and lower association probabilities. Applying stringent methodological procedures, we found preliminary evidence for the notion that genetic risk for schizophrenia conferred by rs9607782 may be mediated by amygdala function. We critically evaluate the potential caveats of the methodological approaches employed and offer suggestions for future studies.
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Affiliation(s)
- S Erk
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Charitéplatz 1, Berlin D-10117, Germany. E-mail: or
| | - S Mohnke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Charitéplatz 1, Berlin D-10117, Germany. E-mail: or
| | - S Ripke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - T A Lett
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - I M Veer
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - C Wackerhagen
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - O Grimm
- Department of Psychiatry, Psychosomatic Medicine, Psychotherapy, Goethe-University Frankfurt, Frankfurt, Germany
| | - N Romanczuk-Seiferth
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - F Degenhardt
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - H Tost
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - M Mattheisen
- Department of Biomedicine, University of Aarhus, Aarhus, Denmark
| | - T W Mühleisen
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany,Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - K Charlet
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - N Skarabis
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - F Kiefer
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - S Cichon
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany,Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - S H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - M M Nöthen
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - A Heinz
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - A Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany,Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
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5
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Meier SM, Agerbo E, Maier R, Pedersen CB, Lang M, Grove J, Hollegaard MV, Demontis D, Trabjerg BB, Hjorthøj C, Ripke S, Degenhardt F, Nöthen MM, Rujescu D, Maier W, Werge T, Mors O, Hougaard DM, Børglum AD, Wray NR, Rietschel M, Nordentoft M, Mortensen PB, Mattheisen M. High loading of polygenic risk in cases with chronic schizophrenia. Mol Psychiatry 2016; 21:969-74. [PMID: 26324100 DOI: 10.1038/mp.2015.130] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Revised: 07/21/2015] [Accepted: 07/23/2015] [Indexed: 11/09/2022]
Abstract
Genomic risk profile scores (GRPSs) have been shown to predict case-control status of schizophrenia (SCZ), albeit with varying sensitivity and specificity. The extent to which this variability in prediction accuracy is related to differences in sampling strategies is unknown. Danish population-based registers and Neonatal Biobanks were used to identify two independent incident data sets (denoted target and replication) comprising together 1861 cases with SCZ and 1706 controls. A third data set was a German prevalent sample with diagnoses assigned to 1773 SCZ cases and 2161 controls based on clinical interviews. GRPSs were calculated based on the genome-wide association results from the largest SCZ meta-analysis yet conducted. As measures of genetic risk prediction, Nagelkerke pseudo-R(2) and variance explained on the liability scale were calculated. GRPS for SCZ showed positive correlations with the number of psychiatric admissions across all P-value thresholds in both the incident and prevalent samples. In permutation-based test, Nagelkerke pseudo-R(2) values derived from samples enriched for frequently admitted cases were found to be significantly higher than for the full data sets (Ptarget=0.017, Preplication=0.04). Oversampling of frequently admitted cases further resulted in a higher proportion of variance explained on the liability scale (improvementtarget= 50%; improvementreplication= 162%). GRPSs are significantly correlated with chronicity of SCZ. Oversampling of cases with a high number of admissions significantly increased the amount of variance in liability explained by GRPS. This suggests that at least part of the effect of common single-nucleotide polymorphisms is on the deteriorative course of illness.
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Affiliation(s)
- S M Meier
- National Centre for Register-Based Research, Aarhus University, Aarhus C, Denmark.,Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - E Agerbo
- National Centre for Register-Based Research, Aarhus University, Aarhus C, Denmark.,Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Centre for Integrated Register-based Research, Aarhus University, Aarhus C, Denmark
| | - R Maier
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - C B Pedersen
- National Centre for Register-Based Research, Aarhus University, Aarhus C, Denmark.,Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Centre for Integrated Register-based Research, Aarhus University, Aarhus C, Denmark
| | - M Lang
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - J Grove
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Department of Biomedicine, Aarhus University, Aarhus C, Denmark.,Bioinformatics Research Centre, Aarhus University, Aarhus C, Denmark.,Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus C, Denmark
| | - M V Hollegaard
- Danish Centre for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - D Demontis
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Department of Biomedicine, Aarhus University, Aarhus C, Denmark.,Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus C, Denmark
| | - B B Trabjerg
- National Centre for Register-Based Research, Aarhus University, Aarhus C, Denmark.,Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
| | - C Hjorthøj
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark.,Institute of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - S Ripke
- Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - F Degenhardt
- Institute of Human Genetics, University of Bonn, Bonn, Germany.,Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany.,Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - D Rujescu
- Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - W Maier
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | | | - T Werge
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark
| | - O Mors
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Centre for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark
| | - D M Hougaard
- Danish Centre for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - A D Børglum
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Department of Biomedicine, Aarhus University, Aarhus C, Denmark.,Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus C, Denmark.,Centre for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark
| | - N R Wray
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - M Nordentoft
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark.,Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - P B Mortensen
- National Centre for Register-Based Research, Aarhus University, Aarhus C, Denmark.,Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Centre for Integrated Register-based Research, Aarhus University, Aarhus C, Denmark.,Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus C, Denmark
| | - M Mattheisen
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark.,Department of Biomedicine, Aarhus University, Aarhus C, Denmark.,Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus C, Denmark.,Institute of Human Genetics, University of Bonn, Bonn, Germany.,Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
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6
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Qin H, Samuels JF, Wang Y, Zhu Y, Grados MA, Riddle MA, Greenberg BD, Knowles JA, Fyer AJ, McCracken JT, Murphy DL, Rasmussen SA, Cullen BA, Piacentini J, Geller D, Stewart SE, Pauls D, Bienvenu OJ, Goes FS, Maher B, Pulver AE, Valle D, Lange C, Mattheisen M, McLaughlin NC, Liang KY, Nurmi EL, Askland KD, Nestadt G, Shugart YY. Whole-genome association analysis of treatment response in obsessive-compulsive disorder. Mol Psychiatry 2016; 21:270-6. [PMID: 25824302 PMCID: PMC5027902 DOI: 10.1038/mp.2015.32] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 01/16/2015] [Accepted: 02/11/2015] [Indexed: 12/16/2022]
Abstract
Up to 30% of patients with obsessive-compulsive disorder (OCD) exhibit an inadequate response to serotonin reuptake inhibitors (SRIs). To date, genetic predictors of OCD treatment response have not been systematically investigated using genome-wide association study (GWAS). To identify specific genetic variations potentially influencing SRI response, we conducted a GWAS study in 804 OCD patients with information on SRI response. SRI response was classified as 'response' (n=514) or 'non-response' (n=290), based on self-report. We used the more powerful Quasi-Likelihood Score Test (the MQLS test) to conduct a genome-wide association test correcting for relatedness, and then used an adjusted logistic model to evaluate the effect size of the variants in probands. The top single-nucleotide polymorphism (SNP) was rs17162912 (P=1.76 × 10(-8)), which is near the DISP1 gene on 1q41-q42, a microdeletion region implicated in neurological development. The other six SNPs showing suggestive evidence of association (P<10(-5)) were rs9303380, rs12437601, rs16988159, rs7676822, rs1911877 and rs723815. Among them, two SNPs in strong linkage disequilibrium, rs7676822 and rs1911877, located near the PCDH10 gene, gave P-values of 2.86 × 10(-6) and 8.41 × 10(-6), respectively. The other 35 variations with signals of potential significance (P<10(-4)) involve multiple genes expressed in the brain, including GRIN2B, PCDH10 and GPC6. Our enrichment analysis indicated suggestive roles of genes in the glutamatergic neurotransmission system (false discovery rate (FDR)=0.0097) and the serotonergic system (FDR=0.0213). Although the results presented may provide new insights into genetic mechanisms underlying treatment response in OCD, studies with larger sample sizes and detailed information on drug dosage and treatment duration are needed.
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Affiliation(s)
- H Qin
- Unit on Statistical Genomics, Division of Intramural Research Programs, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
| | - JF Samuels
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - Y Wang
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - Y Zhu
- Department of Epidemiology, Tulane University, School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - MA Grados
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - MA Riddle
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - BD Greenberg
- Department of Psychiatry and Human Behavior, Brown Medical School, Butler Hospital, Brown University, Providence, RI 02906, USA
| | - JA Knowles
- Department of Psychiatry, Keck Medical School, University of Southern California, Los Angeles, CA 90089, USA
| | - AJ Fyer
- College of Physicians and Surgeons at Columbia University, 630 West 168th Street, New York, NY 10032
| | - JT McCracken
- Department of Psychiatry and Biobehavioral Sciences, School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - DL Murphy
- Laboratory of Clinical Science, NIMH, NIH, Bethesda, MD 20892, USA
| | - SA Rasmussen
- Department of Psychiatry and Human Behavior, Brown Medical School, Butler Hospital, Brown University, Providence, RI 02906, USA
| | - BA Cullen
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - J Piacentini
- Department of Psychiatry and Biobehavioral Sciences, School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - D Geller
- Departments of Psychiatry and Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA
| | - SE Stewart
- Department of Psychiatry, University of British Columbia, A3-118, West 28th Avenue, Vancouver, BC, Canada V5Z 4H4
| | - D Pauls
- Department of Psychiatry and Human Behavior, Brown Medical School, Butler Hospital, Brown University, Providence, RI 02906, USA
| | - OJ Bienvenu
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - FS Goes
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - B Maher
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - AE Pulver
- Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD 21205, USA
| | - D Valle
- Hopkins University School of Medicine, Institute of Human Genetics, Departments of Pediatrics, Ophthalmology and Molecular Biology & Genetics, Baltimore, MD 21205, USA
| | - C Lange
- Harvard School of Public Health, Department of Biostatistics, Boston, MA 02114, USA,Department of Genomic Mathematics, University of Bonn, Bonn 53113, Germany
| | - M Mattheisen
- Harvard School of Public Health, Department of Biostatistics, Boston, MA 02114, USA,Department of Genomic Mathematics, University of Bonn, Bonn 53113, Germany,Department of Biomedicine and Center for Integrated Sequencing (iSEQ), Aarhus University, Aarhus 8000, Denmark
| | - NC McLaughlin
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI 02903, USA
| | - K-Y Liang
- Johns Hopkins University Bloomberg School of Public Health, Department of Mental Health, Baltimore, MD 21205, USA
| | - EL Nurmi
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Jane & Terry Semel Institute of Neuroscience and Human Behavior, 760 Westwood Plaza, Los Angeles, CA 90095, USA
| | - KD Askland
- Department of Psychiatry and Human Behavior, Butler Hospital, The Warren Alpert School of Medicine of Brown University, Providence, Rhode Island 02903, USA
| | - G Nestadt
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - YY Shugart
- Unit on Statistical Genomics, Division of Intramural Research Programs, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
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7
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Forstner AJ, Hofmann A, Maaser A, Sumer S, Khudayberdiev S, Mühleisen TW, Leber M, Schulze TG, Strohmaier J, Degenhardt F, Treutlein J, Mattheisen M, Schumacher J, Breuer R, Meier S, Herms S, Hoffmann P, Lacour A, Witt SH, Reif A, Müller-Myhsok B, Lucae S, Maier W, Schwarz M, Vedder H, Kammerer-Ciernioch J, Pfennig A, Bauer M, Hautzinger M, Moebus S, Priebe L, Sivalingam S, Verhaert A, Schulz H, Czerski PM, Hauser J, Lissowska J, Szeszenia-Dabrowska N, Brennan P, McKay JD, Wright A, Mitchell PB, Fullerton JM, Schofield PR, Montgomery GW, Medland SE, Gordon SD, Martin NG, Krasnov V, Chuchalin A, Babadjanova G, Pantelejeva G, Abramova LI, Tiganov AS, Polonikov A, Khusnutdinova E, Alda M, Cruceanu C, Rouleau GA, Turecki G, Laprise C, Rivas F, Mayoral F, Kogevinas M, Grigoroiu-Serbanescu M, Propping P, Becker T, Rietschel M, Cichon S, Schratt G, Nöthen MM. Genome-wide analysis implicates microRNAs and their target genes in the development of bipolar disorder. Transl Psychiatry 2015; 5:e678. [PMID: 26556287 PMCID: PMC5068755 DOI: 10.1038/tp.2015.159] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 09/07/2015] [Indexed: 12/21/2022] Open
Abstract
Bipolar disorder (BD) is a severe and highly heritable neuropsychiatric disorder with a lifetime prevalence of 1%. Molecular genetic studies have identified the first BD susceptibility genes. However, the disease pathways remain largely unknown. Accumulating evidence suggests that microRNAs, a class of small noncoding RNAs, contribute to basic mechanisms underlying brain development and plasticity, suggesting their possible involvement in the pathogenesis of several psychiatric disorders, including BD. In the present study, gene-based analyses were performed for all known autosomal microRNAs using the largest genome-wide association data set of BD to date (9747 patients and 14 278 controls). Associated and brain-expressed microRNAs were then investigated in target gene and pathway analyses. Functional analyses of miR-499 and miR-708 were performed in rat hippocampal neurons. Ninety-eight of the six hundred nine investigated microRNAs showed nominally significant P-values, suggesting that BD-associated microRNAs might be enriched within known microRNA loci. After correction for multiple testing, nine microRNAs showed a significant association with BD. The most promising were miR-499, miR-708 and miR-1908. Target gene and pathway analyses revealed 18 significant canonical pathways, including brain development and neuron projection. For miR-499, four Bonferroni-corrected significant target genes were identified, including the genome-wide risk gene for psychiatric disorder CACNB2. First results of functional analyses in rat hippocampal neurons neither revealed nor excluded a major contribution of miR-499 or miR-708 to dendritic spine morphogenesis. The present results suggest that research is warranted to elucidate the precise involvement of microRNAs and their downstream pathways in BD.
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Affiliation(s)
- A J Forstner
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - A Hofmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - A Maaser
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - S Sumer
- Institute of Physiological Chemistry, Philipps-University Marburg, Marburg, Germany
| | - S Khudayberdiev
- Institute of Physiological Chemistry, Philipps-University Marburg, Marburg, Germany
| | - T W Mühleisen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - M Leber
- Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany
| | - T G Schulze
- Institute of Psychiatric Phenomics and Genomics, Ludwig-Maximilians-University Munich, Munich, Germany
| | - J Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - F Degenhardt
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - J Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - M Mattheisen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Institute for Genomics Mathematics, University of Bonn, Bonn, Germany
| | - J Schumacher
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - R Breuer
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - S Meier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
- National Center Register-Based Research, Aarhus University, Aarhus, Denmark
| | - S Herms
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - P Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - A Lacour
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - S H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - A Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt, Germany
| | - B Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Institute of Translational Medicine, Liverpool, UK
| | - S Lucae
- Max Planck Institute of Psychiatry, Munich, Germany
| | - W Maier
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - M Schwarz
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | - H Vedder
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | | | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - M Hautzinger
- Department of Psychology, Clinical Psychology and Psychotherapy, Eberhard Karls University Tübingen, Tübingen, Germany
| | - S Moebus
- Institute of Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany
| | - L Priebe
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - S Sivalingam
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - A Verhaert
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - H Schulz
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - P M Czerski
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - J Hauser
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - J Lissowska
- Department of Cancer Epidemiology and Prevention, Maria Sklodowska-Curie Memorial Cancer Centre and Institute of Oncology Warsaw, Warsaw, Poland
| | | | - P Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - J D McKay
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - A Wright
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia
- Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - P B Mitchell
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia
- Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - J M Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - G W Montgomery
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - S E Medland
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - S D Gordon
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - N G Martin
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - V Krasnov
- Moscow Research Institute of Psychiatry, Moscow, Russian Federation
| | - A Chuchalin
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
| | - G Babadjanova
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
| | - G Pantelejeva
- Russian Academy of Medical Sciences, Mental Health Research Center, Moscow, Russian Federation
| | - L I Abramova
- Russian Academy of Medical Sciences, Mental Health Research Center, Moscow, Russian Federation
| | - A S Tiganov
- Russian Academy of Medical Sciences, Mental Health Research Center, Moscow, Russian Federation
| | - A Polonikov
- Department of Biology, Medical Genetics and Ecology, Kursk State Medical University, Kursk, Russian Federation
| | - E Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Ufa, Russian Federation
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russian Federation
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - C Cruceanu
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- McGill Group for Suicide Studies and Douglas Research Institute, Montreal, QC, Canada
| | - G A Rouleau
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - G Turecki
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- McGill Group for Suicide Studies and Douglas Research Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - C Laprise
- Département des sciences fondamentales, Université du Québec à Chicoutimi (UQAC), Chicoutimi, QC, Canada
| | - F Rivas
- Department of Psychiatry, Hospital Regional Universitario, Biomedical Institute of Malaga, Malaga, Spain
| | - F Mayoral
- Department of Psychiatry, Hospital Regional Universitario, Biomedical Institute of Malaga, Malaga, Spain
| | - M Kogevinas
- Center for Research in Environmental Epidemiology, Barcelona, Spain
| | - M Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - P Propping
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - T Becker
- Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - S Cichon
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - G Schratt
- Institute of Physiological Chemistry, Philipps-University Marburg, Marburg, Germany
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
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8
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Christoforou A, Espeseth T, Davies G, Fernandes CPD, Giddaluru S, Mattheisen M, Tenesa A, Harris SE, Liewald DC, Payton A, Ollier W, Horan M, Pendleton N, Haggarty P, Djurovic S, Herms S, Hoffman P, Cichon S, Starr JM, Lundervold A, Reinvang I, Steen VM, Deary IJ, Le Hellard S. GWAS-based pathway analysis differentiates between fluid and crystallized intelligence. Genes Brain Behav 2014; 13:663-74. [PMID: 24975275 PMCID: PMC4261989 DOI: 10.1111/gbb.12152] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Revised: 05/11/2014] [Accepted: 06/25/2014] [Indexed: 01/26/2023]
Abstract
Cognitive abilities vary among people. About 40-50% of this variability is due to general intelligence (g), which reflects the positive correlation among individuals' scores on diverse cognitive ability tests. g is positively correlated with many life outcomes, such as education, occupational status and health, motivating the investigation of its underlying biology. In psychometric research, a distinction is made between general fluid intelligence (gF) - the ability to reason in novel situations - and general crystallized intelligence (gC) - the ability to apply acquired knowledge. This distinction is supported by developmental and cognitive neuroscience studies. Classical epidemiological studies and recent genome-wide association studies (GWASs) have established that these cognitive traits have a large genetic component. However, no robust genetic associations have been published thus far due largely to the known polygenic nature of these traits and insufficient sample sizes. Here, using two GWAS datasets, in which the polygenicity of gF and gC traits was previously confirmed, a gene- and pathway-based approach was undertaken with the aim of characterizing and differentiating their genetic architecture. Pathway analysis, using genes selected on the basis of relaxed criteria, revealed notable differences between these two traits. gF appeared to be characterized by genes affecting the quantity and quality of neurons and therefore neuronal efficiency, whereas long-term depression (LTD) seemed to underlie gC. Thus, this study supports the gF-gC distinction at the genetic level and identifies functional annotations and pathways worthy of further investigation.
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Affiliation(s)
- A Christoforou
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical ScienceUniversity of Bergen
- Dr. Einar Martens Research Group for Biological PsychiatryCentre for Medical Genetics and Molecular Medicine, Haukeland University Hospital Bergen
| | - T Espeseth
- Department of PsychologyUniversity of Oslo
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University HospitalOslo, Norway
| | - G Davies
- Department of PsychologyUniversity of Edinburgh
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of Edinburgh
- Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General HospitalEdinburgh, UK
| | - C P D Fernandes
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical ScienceUniversity of Bergen
- Dr. Einar Martens Research Group for Biological PsychiatryCentre for Medical Genetics and Molecular Medicine, Haukeland University Hospital Bergen
| | - S Giddaluru
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical ScienceUniversity of Bergen
- Dr. Einar Martens Research Group for Biological PsychiatryCentre for Medical Genetics and Molecular Medicine, Haukeland University Hospital Bergen
| | - M Mattheisen
- Department of Genomics, Life & Brain Center, University of BonnBonn, Germany
- Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus UniversityAarhus, Denmark
- Institute for Genomic Mathematics, University of BonnBonn, Germany
| | - A Tenesa
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, University of EdinburghEdinburgh
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of EdinburghRoslin
| | - S E Harris
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of Edinburgh
- Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General HospitalEdinburgh, UK
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of Edinburgh
| | - A Payton
- Centre for Integrated Genomic Medical Research, Institute for Population HealthUniversity of Manchester
| | - W Ollier
- Centre for Integrated Genomic Medical Research, Institute for Population HealthUniversity of Manchester
| | - M Horan
- Centre for Clinical and Cognitive Neurosciences, Institute of Brain Behaviour and Mental Health, University of ManchesterManchester
| | - N Pendleton
- Centre for Clinical and Cognitive Neurosciences, Institute of Brain Behaviour and Mental Health, University of ManchesterManchester
| | - P Haggarty
- Nutrition and Epigenetics Group, Rowett Institute of Nutrition and Health, University of AberdeenAberdeen, UK
| | - S Djurovic
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University HospitalOslo, Norway
| | - S Herms
- Department of Genomics, Life & Brain Center, University of BonnBonn, Germany
- Institute of Human Genetics, University of BonnBonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of BaselBasel, Switzerland
| | - P Hoffman
- Department of Genomics, Life & Brain Center, University of BonnBonn, Germany
- Institute of Human Genetics, University of BonnBonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of BaselBasel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Center JuelichJuelich, Germany
| | - S Cichon
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical ScienceUniversity of Bergen
- Department of Genomics, Life & Brain Center, University of BonnBonn, Germany
- Institute of Human Genetics, University of BonnBonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of BaselBasel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Center JuelichJuelich, Germany
| | - J M Starr
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of Edinburgh
| | - A Lundervold
- Department of Biological and Medical PsychologyUniversity of Bergen
- Kavli Research Centre for Aging and DementiaHaraldsplass Deaconess Hospital
- K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of BergenBergen, Norway
| | - I Reinvang
- Department of PsychologyUniversity of Oslo
| | - V M Steen
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical ScienceUniversity of Bergen
- Dr. Einar Martens Research Group for Biological PsychiatryCentre for Medical Genetics and Molecular Medicine, Haukeland University Hospital Bergen
| | - I J Deary
- Department of PsychologyUniversity of Edinburgh
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of Edinburgh
| | - S Le Hellard
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical ScienceUniversity of Bergen
- Dr. Einar Martens Research Group for Biological PsychiatryCentre for Medical Genetics and Molecular Medicine, Haukeland University Hospital Bergen
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9
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Witt SH, Juraeva D, Sticht C, Strohmaier J, Meier S, Treutlein J, Dukal H, Frank J, Lang M, Deuschle M, Schulze TG, Degenhardt F, Mattheisen M, Brors B, Cichon S, Nöthen MM, Witt CC, Rietschel M. Investigation of manic and euthymic episodes identifies state- and trait-specific gene expression and STAB1 as a new candidate gene for bipolar disorder. Transl Psychiatry 2014; 4:e426. [PMID: 25136889 PMCID: PMC4150244 DOI: 10.1038/tp.2014.71] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Accepted: 06/23/2014] [Indexed: 12/28/2022] Open
Abstract
Bipolar disorder (BD) is a highly heritable psychiatric disease characterized by recurrent episodes of mania and depression. To identify new BD genes and pathways, the present study employed a three-step approach. First, gene-expression profiles of BD patients were assessed during both a manic and an euthymic phase. These profiles were compared intra-individually and with the gene-expression profiles of controls. Second, those differentially expressed genes that were considered potential trait markers of BD were validated using data from the Psychiatric Genomics Consortiums' genome-wide association study (GWAS) of BD. Third, the implicated molecular mechanisms were investigated using pathway analytical methods. In the present patients, this novel approach identified: (i) sets of differentially expressed genes specific to mania and euthymia; and (ii) a set of differentially expressed genes that were common to both mood states. In the GWAS data integration analysis, one gene (STAB1) remained significant (P=1.9 × 10(-4)) after adjustment for multiple testing. STAB1 is located in close proximity to PBMR1 and the NEK4-ITIH1-ITIH3-ITIH4 region, which are the top findings from GWAS meta-analyses of mood disorder, and a combined BD and schizophrenia data set. Pathway analyses in the mania versus control comparison revealed three distinct clusters of pathways tagging molecular mechanisms implicated in BD, for example, energy metabolism, inflammation and the ubiquitin proteasome system. The present findings suggest that STAB1 is a new and highly promising candidate gene in this region. The combining of gene expression and GWAS data may provide valuable insights into the biological mechanisms of BD.
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Affiliation(s)
- S H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany,Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, J5, Mannheim 68159, Germany. E-mail:
| | - D Juraeva
- Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - C Sticht
- Medical Research Center, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - J Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - S Meier
- National Center for Register-based Research, Aarhus University, Aarhus C, Denmark
| | - J Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - H Dukal
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - J Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - M Lang
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - M Deuschle
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - T G Schulze
- Section of Psychiatric Genetics, Department of Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - F Degenhardt
- Institute of Human Genetics, University of Bonn, Bonn, Germany,Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - M Mattheisen
- Department of Biomedicine, Aarhus University, Aarhus C, Denmark,Department of Genomic Mathematics, University of Bonn, Bonn, Germany
| | - B Brors
- Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - S Cichon
- Department of Medical Genetics, University Hospital Basel, Basel, Switzerland
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany,Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - C C Witt
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
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Hooli BV, Kovacs-Vajna ZM, Mullin K, Blumenthal MA, Mattheisen M, Zhang C, Lange C, Mohapatra G, Bertram L, Tanzi RE. Rare autosomal copy number variations in early-onset familial Alzheimer's disease. Mol Psychiatry 2014; 19:676-81. [PMID: 23752245 DOI: 10.1038/mp.2013.77] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2013] [Revised: 03/19/2013] [Accepted: 04/15/2013] [Indexed: 01/08/2023]
Abstract
Over 200 rare and fully penetrant pathogenic mutations in amyloid precursor protein (APP), presenilin 1 and 2 (PSEN1 and PSEN2) cause a subset of early-onset familial Alzheimer's disease (EO-FAD). Of these, 21 cases of EO-FAD families carrying unique APP locus duplications remain the only pathogenic copy number variations (CNVs) identified to date in Alzheimer's disease (AD). Using high-density DNA microarrays, we performed a comprehensive genome-wide analysis for the presence of rare CNVs in 261 EO-FAD and early/mixed-onset pedigrees. Our analysis revealed 10 novel private CNVs in 10 EO-FAD families overlapping a set of genes that includes: A2BP1, ABAT, CDH2, CRMP1, DMRT1, EPHA5, EPHA6, ERMP1, EVC, EVC2, FLJ35024 and VLDLR. In addition, CNVs encompassing two known frontotemporal dementia genes, CHMP2B and MAPT were found. To our knowledge, this is the first study reporting rare gene-rich CNVs in EO-FAD and early/mixed-onset AD that are likely to underlie pathogenicity in familial AD and perhaps related dementias.
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Affiliation(s)
- B V Hooli
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
| | - Z M Kovacs-Vajna
- Department of Information Engineering, University of Brescia, Brescia, Italy
| | - K Mullin
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
| | - M A Blumenthal
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
| | - M Mattheisen
- Channing Laboratory, Brigham and Women's Hospital, Boston MA, USA
| | - C Zhang
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
| | - C Lange
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - G Mohapatra
- Molecular Pathology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - L Bertram
- Max-Planck Institute for Molecular Genetics, Neuropsychiatric Genetics Group, Berlin, Germany
| | - R E Tanzi
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
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11
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Li M, Luo XJ, Rietschel M, Lewis CM, Mattheisen M, Müller-Myhsok B, Jamain S, Leboyer M, Landén M, Thompson PM, Cichon S, Nöthen MM, Schulze TG, Sullivan PF, Bergen SE, Donohoe G, Morris DW, Hargreaves A, Gill M, Corvin A, Hultman C, Toga AW, Shi L, Lin Q, Shi H, Gan L, Meyer-Lindenberg A, Czamara D, Henry C, Etain B, Bis JC, Ikram MA, Fornage M, Debette S, Launer LJ, Seshadri S, Erk S, Walter H, Heinz A, Bellivier F, Stein JL, Medland SE, Arias Vasquez A, Hibar DP, Franke B, Martin NG, Wright MJ, Su B. Allelic differences between Europeans and Chinese for CREB1 SNPs and their implications in gene expression regulation, hippocampal structure and function, and bipolar disorder susceptibility. Mol Psychiatry 2014; 19:452-61. [PMID: 23568192 PMCID: PMC3937299 DOI: 10.1038/mp.2013.37] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Revised: 01/28/2013] [Accepted: 03/06/2013] [Indexed: 02/07/2023]
Abstract
Bipolar disorder (BD) is a polygenic disorder that shares substantial genetic risk factors with major depressive disorder (MDD). Genetic analyses have reported numerous BD susceptibility genes, while some variants, such as single-nucleotide polymorphisms (SNPs) in CACNA1C have been successfully replicated, many others have not and subsequently their effects on the intermediate phenotypes cannot be verified. Here, we studied the MDD-related gene CREB1 in a set of independent BD sample groups of European ancestry (a total of 64,888 subjects) and identified multiple SNPs significantly associated with BD (the most significant being SNP rs6785[A], P=6.32 × 10(-5), odds ratio (OR)=1.090). Risk SNPs were then subjected to further analyses in healthy Europeans for intermediate phenotypes of BD, including hippocampal volume, hippocampal function and cognitive performance. Our results showed that the risk SNPs were significantly associated with hippocampal volume and hippocampal function, with the risk alleles showing a decreased hippocampal volume and diminished activation of the left hippocampus, adding further evidence for their involvement in BD susceptibility. We also found the risk SNPs were strongly associated with CREB1 expression in lymphoblastoid cells (P<0.005) and the prefrontal cortex (P<1.0 × 10(-6)). Remarkably, population genetic analysis indicated that CREB1 displayed striking differences in allele frequencies between continental populations, and the risk alleles were completely absent in East Asian populations. We demonstrated that the regional prevalence of the CREB1 risk alleles in Europeans is likely caused by genetic hitchhiking due to natural selection acting on a nearby gene. Our results suggest that differential population histories due to natural selection on regional populations may lead to genetic heterogeneity of susceptibility to complex diseases, such as BD, and explain inconsistencies in detecting the genetic markers of these diseases among different ethnic populations.
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Affiliation(s)
- M Li
- 1] State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China [2] University of Chinese Academy of Sciences, Beijing, China
| | - X-J Luo
- University of Rochester Flaum Eye Institute, University of Rochester, Rochester, NY, USA
| | - M Rietschel
- 1] Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Mannheim, Germany [2] Department of Psychiatry, University of Bonn, Bonn, Germany
| | - C M Lewis
- MRC SGDP Centre, Institute of Psychiatry, King's College London, London, UK
| | - M Mattheisen
- Channing Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - S Jamain
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France
| | - M Leboyer
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] Pôle de Psychiatrie, AP-HP, Hôpital H. Mondor-A. Chenevier, Créteil, France [4] Faculté de Médecine, Université Paris Est, Créteil, France
| | - M Landén
- 1] Section of Psychiatry and Neurochemistry, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden [2] Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - P M Thompson
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S Cichon
- 1] Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany [2] Department of Genomics, Life and Brain Center and Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M M Nöthen
- 1] Department of Genomics, Life and Brain Center and Institute of Human Genetics, University of Bonn, Bonn, Germany [2] German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - T G Schulze
- 1] Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Mannheim, Germany [2] Section on Psychiatric Genetics, Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August-University, Göttingen, Germany
| | - P F Sullivan
- Departments of Genetics, Psychiatry and Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - S E Bergen
- 1] Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA [2] Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - G Donohoe
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - D W Morris
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - A Hargreaves
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - M Gill
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - A Corvin
- Neuropsychiatric Genetics Group and Department of Psychiatry, Institute of Molecular Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, St James Hospital, Dublin, Ireland
| | - C Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - A W Toga
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - L Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Q Lin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - H Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - L Gan
- University of Chinese Academy of Sciences, Beijing, China
| | - A Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - D Czamara
- Max Planck Institute of Psychiatry, Munich, Germany
| | - C Henry
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] Pôle de Psychiatrie, AP-HP, Hôpital H. Mondor-A. Chenevier, Créteil, France [4] Faculté de Médecine, Université Paris Est, Créteil, France
| | - B Etain
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] Pôle de Psychiatrie, AP-HP, Hôpital H. Mondor-A. Chenevier, Créteil, France
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - M A Ikram
- 1] Department of Radiology and Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands [2] The Netherlands Consortium of Healthy Aging, Leiden, The Netherlands
| | - M Fornage
- Brown Foundation Institute of Molecular Medicine and Human Genetics Center School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - S Debette
- 1] Department of Neurology, Boston University School of Medicine, Boston, MA, USA [2] Institut National de la Santé et de la Recherche Médicale (INSERM), U708, Neuroepidemiology, Paris, France [3] Department of Epidemiology, University of Versailles Saint-Quentin-en-Yvelines, Paris, France
| | - L J Launer
- Laboratory of Neurogenetics, Intramural Research Program, National Institute of Aging, NIH, Bethesda, MD, USA
| | - S Seshadri
- 1] Department of Neurology, Boston University School of Medicine, Boston, MA, USA [2] The National, Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - S Erk
- 1] Department of Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany [2] Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- 1] Department of Psychiatry, University of Bonn, Bonn, Germany [2] Department of Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany [3] Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - A Heinz
- Department of Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - F Bellivier
- 1] Inserm U 955, IMRB, Psychiatrie Génétique, Créteil, France [2] Fondation Fondamental, Créteil, France [3] AP-HP, Hôpital St-Louis-Lariboisière-F Widal, Service Universitaire de Psychiatrie, Paris, France [4] Faculté de Médecine, Université Denis Diderot, Paris, France
| | - J L Stein
- 1] Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA [2] Neurogenetics Program, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - S E Medland
- 1] Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia [2] Quantitative Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia [3] Broad Institute of Harvard and MIT, Boston, MA, USA
| | - A Arias Vasquez
- 1] Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands [2] Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - D P Hibar
- Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - B Franke
- 1] Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands [2] Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - N G Martin
- Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - M J Wright
- Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - B Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
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12
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Børglum AD, Demontis D, Grove J, Pallesen J, Hollegaard MV, Pedersen CB, Hedemand A, Mattheisen M, Uitterlinden A, Nyegaard M, Ørntoft T, Wiuf C, Didriksen M, Nordentoft M, Nöthen MM, Rietschel M, Ophoff RA, Cichon S, Yolken RH, Hougaard DM, Mortensen PB, Mors O. Genome-wide study of association and interaction with maternal cytomegalovirus infection suggests new schizophrenia loci. Mol Psychiatry 2014; 19:325-33. [PMID: 23358160 PMCID: PMC3932405 DOI: 10.1038/mp.2013.2] [Citation(s) in RCA: 146] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2012] [Revised: 11/22/2012] [Accepted: 12/14/2012] [Indexed: 12/13/2022]
Abstract
Genetic and environmental components as well as their interaction contribute to the risk of schizophrenia, making it highly relevant to include environmental factors in genetic studies of schizophrenia. This study comprises genome-wide association (GWA) and follow-up analyses of all individuals born in Denmark since 1981 and diagnosed with schizophrenia as well as controls from the same birth cohort. Furthermore, we present the first genome-wide interaction survey of single nucleotide polymorphisms (SNPs) and maternal cytomegalovirus (CMV) infection. The GWA analysis included 888 cases and 882 controls, and the follow-up investigation of the top GWA results was performed in independent Danish (1396 cases and 1803 controls) and German-Dutch (1169 cases, 3714 controls) samples. The SNPs most strongly associated in the single-marker analysis of the combined Danish samples were rs4757144 in ARNTL (P=3.78 × 10(-6)) and rs8057927 in CDH13 (P=1.39 × 10(-5)). Both genes have previously been linked to schizophrenia or other psychiatric disorders. The strongest associated SNP in the combined analysis, including Danish and German-Dutch samples, was rs12922317 in RUNDC2A (P=9.04 × 10(-7)). A region-based analysis summarizing independent signals in segments of 100 kb identified a new region-based genome-wide significant locus overlapping the gene ZEB1 (P=7.0 × 10(-7)). This signal was replicated in the follow-up analysis (P=2.3 × 10(-2)). Significant interaction with maternal CMV infection was found for rs7902091 (P(SNP × CMV)=7.3 × 10(-7)) in CTNNA3, a gene not previously implicated in schizophrenia, stressing the importance of including environmental factors in genetic studies.
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Affiliation(s)
- A D Børglum
- Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Centre for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
| | - D Demontis
- Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
| | - J Grove
- Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - J Pallesen
- Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
| | - M V Hollegaard
- Section of Neonatal Screening and Hormones, Statens Serum Institute, Copenhagen, Denmark
| | - C B Pedersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - A Hedemand
- Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
| | - M Mattheisen
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Institute for Genomic Mathematics, University of Bonn, Bonn, Germany
| | - GROUP investigators
- Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Centre for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- Section of Neonatal Screening and Hormones, Statens Serum Institute, Copenhagen, Denmark
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Institute for Genomic Mathematics, University of Bonn, Bonn, Germany
- For a full list of members, see Appendix
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Molecular Medicine, Aarhus University Hospital, Skejby, Denmark
- Department of Mathematical Science, University of Copenhagen, Copenhagen, Denmark
- Synaptic transmission, H. Lundbeck A/S, Valby, Denmark
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- German Center for Neurodegenerative Disorders (DZNE), Bonn, Germany
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Manheim, Germany
- Department of Medical Genetics and Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
- Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany
- Stanley Division of Developmental Neurovirology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - A Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Nyegaard
- Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
| | - T Ørntoft
- Department of Molecular Medicine, Aarhus University Hospital, Skejby, Denmark
| | - C Wiuf
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- Department of Mathematical Science, University of Copenhagen, Copenhagen, Denmark
| | - M Didriksen
- Synaptic transmission, H. Lundbeck A/S, Valby, Denmark
| | - M Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - M M Nöthen
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- German Center for Neurodegenerative Disorders (DZNE), Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Manheim, Germany
| | - R A Ophoff
- Department of Medical Genetics and Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - S Cichon
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany
| | - R H Yolken
- Stanley Division of Developmental Neurovirology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - D M Hougaard
- Section of Neonatal Screening and Hormones, Statens Serum Institute, Copenhagen, Denmark
| | - P B Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - O Mors
- Centre for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
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Degenhardt F, Priebe L, Meier S, Lennertz L, Streit F, Witt SH, Hofmann A, Becker T, Mössner R, Maier W, Nenadic I, Sauer H, Mattheisen M, Buizer-Voskamp J, Ophoff RA, Rujescu D, Giegling I, Ingason A, Wagner M, Delobel B, Andrieux J, Meyer-Lindenberg A, Heinz A, Walter H, Moebus S, Corvin A, Rietschel M, Nöthen MM, Cichon S. Duplications in RB1CC1 are associated with schizophrenia; identification in large European sample sets. Transl Psychiatry 2013; 3:e326. [PMID: 26151896 PMCID: PMC3849960 DOI: 10.1038/tp.2013.101] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2013] [Revised: 09/17/2013] [Accepted: 09/26/2013] [Indexed: 12/16/2022] Open
Abstract
Schizophrenia (SCZ) is a severe and debilitating neuropsychiatric disorder with an estimated heritability of ~80%. Recently, de novo mutations, identified by next-generation sequencing (NGS) technology, have been suggested to contribute to the risk of developing SCZ. Although these studies show an overall excess of de novo mutations among patients compared with controls, it is not easy to pinpoint specific genes hit by de novo mutations as actually involved in the disease process. Importantly, support for a specific gene can be provided by the identification of additional alterations in several independent patients. We took advantage of existing genome-wide single-nucleotide polymorphism data sets to screen for deletions or duplications (copy number variations, CNVs) in genes previously implicated by NGS studies. Our approach was based on the observation that CNVs constitute part of the mutational spectrum in many human disease-associated genes. In a discovery step, we investigated whether CNVs in 55 candidate genes, suggested from NGS studies, were more frequent among 1637 patients compared with 1627 controls. Duplications in RB1CC1 were overrepresented among patients. This finding was followed-up in large, independent European sample sets. In the combined analysis, totaling 8461 patients and 112 871 controls, duplications in RB1CC1 were found to be associated with SCZ (P=1.29 × 10(-5); odds ratio=8.58). Our study provides evidence for rare duplications in RB1CC1 as a risk factor for SCZ.
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Affiliation(s)
- F Degenhardt
- Institute of Human Genetics, University of
Bonn, Bonn, Germany,Department of Genomics, Life and Brain
Center, University of Bonn, Bonn, Germany,Institute of Human Genetics, University of
Bonn, Sigmund-Freud-Straße 25, 53127
Bonn, Germany. E-mail:
| | - L Priebe
- Institute of Human Genetics, University of
Bonn, Bonn, Germany,Department of Genomics, Life and Brain
Center, University of Bonn, Bonn, Germany
| | - S Meier
- Department of Genetic Epidemiology in
Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg
University, Mannheim, Germany
| | - L Lennertz
- Department of Psychiatry, University of
Bonn, Bonn, Germany
| | - F Streit
- Department of Genetic Epidemiology in
Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg
University, Mannheim, Germany
| | - S H Witt
- Department of Genetic Epidemiology in
Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg
University, Mannheim, Germany
| | - A Hofmann
- Institute of Human Genetics, University of
Bonn, Bonn, Germany,Department of Genomics, Life and Brain
Center, University of Bonn, Bonn, Germany
| | - T Becker
- German Center for Neurodegenerative Diseases
(DZNE), Bonn, Germany,Institute for Medical Biometry,
Informatics and Epidemiology, University of Bonn, Bonn,
Germany
| | - R Mössner
- Department of Psychiatry, University of
Bonn, Bonn, Germany
| | - W Maier
- Department of Psychiatry, University of
Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases
(DZNE), Bonn, Germany
| | - I Nenadic
- Department of Psychiatry and Psychotherapy,
Jena University Hospital, Jena, Germany
| | - H Sauer
- Department of Psychiatry and Psychotherapy,
Jena University Hospital, Jena, Germany
| | - M Mattheisen
- Department of Genomics, Life and Brain
Center, University of Bonn, Bonn, Germany,Institute for Genomic Mathematics, University
of Bonn, Bonn, Germany,Channing Division of Network Medicine,
Brigham and Women's Hospital and Harvard Medical School, Boston,
MA, USA
| | - J Buizer-Voskamp
- Department of Psychiatry, Rudolf Magnus
Institute of Neuroscience, University Medical Center Utrecht,
Utrecht, The Netherlands,Department of Medical Genetics, University
Medical Center Utrecht, Utrecht, The Netherlands
| | - R A Ophoff
- Department of Psychiatry, Rudolf Magnus
Institute of Neuroscience, University Medical Center Utrecht,
Utrecht, The Netherlands,Department of Human Genetics, David Geffen
School of Medicine, University of California Los Angeles, Los
Angeles, CA, USA,Center for Neurobehavioral Genetics, Semel
Institute for Neuroscience & Human Behavior, University of California Los
Angeles, Los Angeles, CA, USA
| | | | - D Rujescu
- Molecular and Clinical Neurobiology,
Department of Psychiatry, Ludwig-Maximilians-University, Munich,
Germany,Department of Psychiatry, University of
Halle-Wittenberg, Halle, Germany
| | - I Giegling
- Molecular and Clinical Neurobiology,
Department of Psychiatry, Ludwig-Maximilians-University, Munich,
Germany,Department of Psychiatry, University of
Halle-Wittenberg, Halle, Germany
| | - A Ingason
- Department of Psychiatry, University of
Halle-Wittenberg, Halle, Germany
| | - M Wagner
- Department of Psychiatry, University of
Bonn, Bonn, Germany
| | - B Delobel
- Centre de Génétique
chromosomique, GHICL, Hôpital St-Vincent de Paul, Lille,
France
| | - J Andrieux
- Institut de Génétique
Médicale, Hopital Jeanne de Flandre, CHRU de Lille,
Lille, France
| | - A Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy,
Central Institute of Mental Health, Medical Faculty Mannheim, University of
Heidelberg, Mannheim, Germany
| | - A Heinz
- Department of Psychiatry and Psychotherapy,
Charité Campus Mitte, Berlin, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy,
Charité Campus Mitte, Berlin, Germany
| | - S Moebus
- Institute of Medical Informatics, Biometry,
and Epidemiology, University Duisburg-Essen, Essen,
Germany
| | - A Corvin
- Department of Psychiatry, Institute of
Neuroscience, Trinity College Dublin, Dublin, Ireland
| | | | - M Rietschel
- Department of Genetic Epidemiology in
Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg
University, Mannheim, Germany
| | - M M Nöthen
- Institute of Human Genetics, University of
Bonn, Bonn, Germany,Department of Genomics, Life and Brain
Center, University of Bonn, Bonn, Germany
| | - S Cichon
- Institute of Human Genetics, University of
Bonn, Bonn, Germany,Department of Genomics, Life and Brain
Center, University of Bonn, Bonn, Germany,Institute of Neuroscience and Medicine
(INM-1), Structural and Functional Organisation of the Brain, Genomic Imaging, Research
Centre Juelich, Juelich, Germany,Division of Medical Genetics, University
Hospital Basel and Department of Biomedicine, University of Basel,
Basel, Switzerland
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14
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Meier S, Mattheisen M, Vassos E, Strohmaier J, Treutlein J, Josef F, Breuer R, Degenhardt F, Mühleisen TW, Müller-Myhsok B, Steffens M, Schmael C, McMahon FJ, Nöthen MM, Cichon S, Schulze TG, Rietschel M. Genome-wide significant association between a 'negative mood delusions' dimension in bipolar disorder and genetic variation on chromosome 3q26.1. Transl Psychiatry 2012; 2:e165. [PMID: 23010768 PMCID: PMC3565205 DOI: 10.1038/tp.2012.81] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2012] [Accepted: 07/13/2012] [Indexed: 11/30/2022] Open
Abstract
Research suggests that clinical symptom dimensions may be more useful in delineating the genetics of bipolar disorder (BD) than standard diagnostic models. To date, no study has applied this concept to data from genome-wide association studies (GWAS). We performed a GWAS of factor dimensions in 927 clinically well-characterized BD patients of German ancestry. Rs9875793, which is located in an intergenic region of 3q26.1 and in the vicinity of the solute carrier family 2 (facilitated glucose transporter), member 2 gene (SLC2A2), was significantly associated with the factor analysis-derived dimension 'negative mood delusions' (n=927; P=4.65 × 10(-8), odds ratio (OR)=2.66). This dimension was comprised of the symptoms delusions of poverty, delusions of guilt and nihilistic delusions. In case-control analyses, significant association with the G allele of rs9875793 was only observed in the subgroup of BD patients who displayed symptoms of 'negative mood delusions' (allelic χ(2) model: P(G)=0.0001, OR=1.92; item present, n=89). Further support for the hypothesis that rs9875793 is associated with BD in patients displaying 'negative mood delusions' symptom, such as delusions of guilt, was obtained from an European American sample (GAIN/TGEN), which included 1247 BD patients and 1434 controls (P(EA)=0.028, OR=1.27).
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Affiliation(s)
- S Meier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - M Mattheisen
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute for Genomic Mathematics, University of Bonn, Bonn, Germany
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - E Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - J Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - J Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - F Josef
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - R Breuer
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - F Degenhardt
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - T W Mühleisen
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - B Müller-Myhsok
- Department of Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - M Steffens
- Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany
| | - C Schmael
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - F J McMahon
- Human Genetics Branch, National Institute of Mental Health, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - M M Nöthen
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - S Cichon
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany
| | - T G Schulze
- Section on Psychiatric Genetics, Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August University, Göttingen, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
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15
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Rietschel M, Mattheisen M, Degenhardt F, Mühleisen TW, Kirsch P, Esslinger C, Herms S, Demontis D, Steffens M, Strohmaier J, Haenisch B, Breuer R, Czerski PM, Giegling I, Strengman E, Schmael C, Mors O, Mortensen PB, Hougaard DM, Ørntoft T, Kapelski P, Priebe L, Basmanav FF, Forstner AJ, Hoffman P, Meier S, Nikitopoulos J, Moebus S, Alexander M, Mössner R, Wichmann HE, Schreiber S, Rivandeneira F, Hofman A, Uitterlinden AG, Wienker TF, Schumacher J, Hauser J, Maier W, Cantor RM, Erk S, Schulze TG, Craddock N, Owen MJ, O'Donovan MC, Børglum AD, Rujescu D, Walter H, Meyer-Lindenberg A, Nöthen NM, Ophoff RA, Cichon S. Association between genetic variation in a region on chromosome 11 and schizophrenia in large samples from Europe. Mol Psychiatry 2012; 17:906-17. [PMID: 21747397 DOI: 10.1038/mp.2011.80] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Recent molecular studies have implicated common alleles of small to moderate effect and rare alleles with larger effect sizes in the genetic architecture of schizophrenia (SCZ). It is expected that the reliable detection of risk variants with very small effect sizes can only be achieved through the recruitment of very large samples of patients and controls (that is tens of thousands), or large, potentially more homogeneous samples that have been recruited from confined geographical areas using identical diagnostic criteria. Applying the latter strategy, we performed a genome-wide association study (GWAS) of 1169 clinically well characterized and ethnically homogeneous SCZ patients from a confined area of Western Europe (464 from Germany, 705 from The Netherlands) and 3714 ethnically matched controls (1272 and 2442, respectively). In a subsequent follow-up study of our top GWAS results, we included an additional 2569 SCZ patients and 4088 controls (from Germany, The Netherlands and Denmark). Genetic variation in a region on chromosome 11 that contains the candidate genes AMBRA1, DGKZ, CHRM4 and MDK was significantly associated with SCZ in the combined sample (n=11 540; P=3.89 × 10(-9), odds ratio (OR)=1.25). This finding was replicated in 23 206 independent samples of European ancestry (P=0.0029, OR=1.11). In a subsequent imaging genetics study, healthy carriers of the risk allele exhibited altered activation in the cingulate cortex during a cognitive control task. The area of interest is a critical interface between emotion regulation and cognition that is structurally and functionally abnormal in SCZ and bipolar disorder.
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Affiliation(s)
- M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany.
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16
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Hooli BV, Mohapatra G, Mattheisen M, Parrado AR, Roehr JT, Shen Y, Gusella JF, Moir R, Saunders AJ, Lange C, Tanzi RE, Bertram L. Role of common and rare APP DNA sequence variants in Alzheimer disease. Neurology 2012; 78:1250-7. [PMID: 22491860 DOI: 10.1212/wnl.0b013e3182515972] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES More than 30 different rare mutations, including copy number variants (CNVs), in the amyloid precursor protein gene (APP) cause early-onset familial Alzheimer disease (EOFAD), whereas the contribution of common APP variants to disease risk remains controversial. In this study we systematically assessed the role of both rare and common APP DNA variants in Alzheimer disease (AD) families. METHODS Families with EOFAD genetically linked to the APP region were screened for missense mutations and locus duplications of APP. Further, using genome-wide DNA microarray data, we examined the APP locus for CNVs in a total of 797 additional early- and late-onset AD pedigrees. Finally, 423 single nucleotide polymorphisms (SNPs) in the APP locus, including 2 promoter polymorphisms previously associated with AD risk, were tested in up to 4,200 individuals from multiplex AD families. RESULTS Analyses of 8 21q21-linked families revealed one family carrying a nonsynonymous mutation in exon 17 (Val717Leu) and another family with a partially penetrant 3.5-Mb locus duplication encompassing APP. CNV analysis in the APP locus revealed an additional family carrying a fully penetrant 380-kb duplication, merely spanning APP. Last, contrary to previous reports, association analyses of more than 400 different SNPs in or near APP failed to show significant effects on AD risk. CONCLUSION Our study shows that APP mutations and locus duplications are a very rare cause of EOFAD and that the contribution of common APP variants to AD susceptibility is insignificant. Furthermore, duplications of APP may not be fully penetrant, possibly indicating the existence of hitherto unknown protective genetic factors.
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Affiliation(s)
- B V Hooli
- Genetics and Aging Research Unit, Massachusetts General Hospital, Charlestown, MA, USA
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17
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Naz G, Pasternack SM, Perrin C, Mattheisen M, Refke M, Khan S, Gul A, Simons M, Ahmad W, Betz RC. FZD6 encoding the Wnt receptor frizzled 6 is mutated in autosomal-recessive nail dysplasia. Br J Dermatol 2012; 166:1088-94. [PMID: 22211385 DOI: 10.1111/j.1365-2133.2011.10800.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Isolated nail dysplasia is rare and has been reported in only a small number of families. OBJECTIVES To describe and characterize two Pakistani families with an autosomal-recessive inherited nail dysplasia. METHODS Genome-wide linkage analysis; mutation screening of candidate genes by Sanger sequencing; cloning of FZD6 and protein analyses; immunohistochemistry. RESULTS We mapped this genodermatosis to chromosome 8q22.3, and identified a homozygous nonsense mutation c.1750G>T (p.E584X) in the frizzled 6 (FZD6) gene in all affected individuals. Immunohistochemical analyses in nail sections from healthy individuals revealed strong expression of FZD6 in the ventral nail matrix and a less pronounced expression of FZD6 in the nail bed. CONCLUSIONS FZD6 belongs to a family of proteins that serve as receptors in Wnt signalling pathways, and has been shown to act as a negative regulator of the canonical Wnt/β-catenin signalling cascade and a positive regulator of the noncanonical Wnt or planar cell polarity pathway. The present results therefore suggest that FZD6 plays a pivotal role in the growth and guidance of the nail plate in humans by acting as a molecular switch between different Wnt pathways. Previous studies have identified mutations in the RSPO4 and LMX1B components of the Wnt pathway in patients with the hypoplastic nail disorders anonychia and nail-patella syndrome, respectively. Only recently, FZD6 mutations were identified in isolated nail dysplasia. The present results emphasize the important role of the Wnt pathways in nail development and increase understanding of Wnt-mediated developmental events in general.
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Affiliation(s)
- G Naz
- Department of Biochemistry, Quaid-i-Azam University Islamabad, Islamabad, Pakistan
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18
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Breuer R, Hamshere ML, Strohmaier J, Mattheisen M, Degenhardt F, Meier S, Paul T, O'Donovan MC, Mühleisen TW, Schulze TG, Nöthen MM, Cichon S, Craddock N, Rietschel M. Independent evidence for the selective influence of GABA(A) receptors on one component of the bipolar disorder phenotype. Mol Psychiatry 2011; 16:587-9. [PMID: 20548298 DOI: 10.1038/mp.2010.67] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- R Breuer
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
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19
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Strohmaier J, Frank J, Wendland J, Schumacher J, Treutlein J, Nieratschker V, Breuer R, Mattheisen M, Herms S, Mühleisen T, Maier W, Nöthen M, Cichon S, Rietschel M, Schulze T. A reappraisal of the association between Dysbindin (DTNBP1) and schizophrenia in a large combined case-control and family-based sample of German ancestry. Gesundheitswesen 2010. [DOI: 10.1055/s-0030-1266728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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20
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Le Hellard S, Mühleisen TW, Djurovic S, Fernø J, Ouriaghi Z, Mattheisen M, Vasilescu C, Raeder MB, Hansen T, Strohmaier J, Georgi A, Brockschmidt FF, Melle I, Nenadic I, Sauer H, Rietschel M, Nöthen MM, Werge T, Andreassen OA, Cichon S, Steen VM. Polymorphisms in SREBF1 and SREBF2, two antipsychotic-activated transcription factors controlling cellular lipogenesis, are associated with schizophrenia in German and Scandinavian samples. Mol Psychiatry 2010; 15:463-72. [PMID: 18936756 DOI: 10.1038/mp.2008.110] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Several studies have reported structural brain abnormalities, decreased myelination and oligodendrocyte dysfunction in schizophrenia. In the central nervous system, glia-derived de novo synthesized cholesterol is essential for both myelination and synaptogenesis. Previously, we demonstrated in glial cell lines that antipsychotic drugs induce the expression of genes involved in cholesterol and fatty acids biosynthesis through activation of the sterol regulatory element binding protein (SREBP) transcription factors, encoded by the sterol regulatory element binding transcription factor 1 (SREBF1) and sterol regulatory element binding transcription factor 2 (SREBF2) genes. Considering the importance of these factors in the lipid biosynthesis and their possible involvement in antipsychotic drug effects, we hypothesized that genetic variants of SREBF1 and/or SREBF2 could affect schizophrenia susceptibility. We therefore conducted a HapMap-based association study in a large German sample, and identified association between schizophrenia and five markers in SREBF1 and five markers in SREBF2. Follow-up studies in two independent samples of Danish and Norwegian origin (part of the Scandinavian collaboration of psychiatric etiology study, SCOPE) replicated the association for the five SREBF1 markers and for two markers in SREBF2. A combined analysis of all samples resulted in highly significant genotypic P-values of 9 x 10(-4) for SREBF1 (rs11868035, odd ration (OR)=1.26, 95% confidence interval (CI) (1.09-1.45)) and 4 x 10(-5) for SREBF2 (rs1057217, OR=1.39, 95% CI (1.19-1.63)). This finding strengthens the hypothesis that SREBP-controlled cholesterol biosynthesis is involved in the etiology of schizophrenia.
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Affiliation(s)
- S Le Hellard
- Department of Clinical Medicine, Bergen Mental Health Research Center, University of Bergen, Bergen, Norway.
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21
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Ludwig KU, Mattheisen M, Mühleisen TW, Roeske D, Schmäl C, Breuer R, Schulte-Körne G, Müller-Myhsok B, Nöthen MM, Hoffmann P, Rietschel M, Cichon S. Supporting evidence for LRRTM1 imprinting effects in schizophrenia. Mol Psychiatry 2009; 14:743-5. [PMID: 19626025 DOI: 10.1038/mp.2009.28] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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22
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Hoffmann K, Mattheisen M, Dahm S, Nürnberg P, Roe C, Johnson J, Cox NJ, Wichmann HE, Wienker TF, Schulze J, Schwarz PE, Lindner TH. A German genome-wide linkage scan for type 2 diabetes supports the existence of a metabolic syndrome locus on chromosome 1p36.13 and a type 2 diabetes locus on chromosome 16p12.2. Diabetologia 2007; 50:1418-22. [PMID: 17464498 DOI: 10.1007/s00125-007-0658-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2006] [Accepted: 02/04/2007] [Indexed: 01/31/2023]
Abstract
AIMS/HYPOTHESIS The aim was to identify type 2 diabetes susceptibility regions in 250 German families. SUBJECTS AND METHODS We conducted a genome-wide linkage scan using 439 short tandem repeat polymorphisms at an average resolution of 7.76 +/- 3.80 cM (Marshfield). In an affected-only-design (affected sib pairs), we performed nonparametric multipoint linkage analyses. Conditional analyses were applied where linkage signals were found in the baseline analyses. RESULTS We identified two loci with nominal evidence for linkage on chromosomes 1p36.13 and 16p12.2 (D1S3669, 37.05 cM, logarithmic odds ratio [LOD] = 1.49, p = 0.004; D16S403, 43.89 cM, LOD = 1.85, p = 0.002). D16S403 crossed the empirically obtained threshold of genome-wide suggestive significance of LOD = 1.51. Positive findings in those regions have been reported by the following other linkage studies on: (1) symptomatic/clinical gall bladder disease with type 2 diabetes in Mexican Americans from the San Antonio Family Diabetes/Gallbladder Study (LOD = 3.7, D1S1597-D1S407, 29.93-33.75 cM); (2) body size-adiposity in another Mexican American population (D1S1597, LOD = 2.53, 29.93 cM); (3) lipid abnormalities (LOD = 3.1, D1S2826-D1S513, 41.92-60.01 cM); and (4) hypertension in Australian sib pairs (LOD = 3.1, D1S2834-D1S2728, 31.02-33.75 cM); as well as (5) a meta-analysis of four European type 2 diabetes-related genome scans (LOD = 1.09, D16S412, 42.81 cM). In linkage analyses conditional on evidence for linkage at D16S403 we identified a LOD increase (Delta LOD) of 1.55 (p = 0.0075) at D17S2180. Similar conditioning on D17S2180 revealed evidence for interaction with D1S3669 (Delta LOD = 1.67, p = 0.0055), D16S403 (Delta LOD = 1.48, p = 0.0091) and another locus on chromosome 1 where several genome scans have reported evidence for linkage ( approximately 200 cM, Delta LOD = 1.60, p = 0.0066). CONCLUSIONS/INTERPRETATION Our results and the findings of other studies are consistent with the presence of a locus for a complex metabolic syndrome on chromosome 1p36.13.
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Affiliation(s)
- K Hoffmann
- Institute of Medical Genetics, Charité, University Medical School, Humboldt University, Berlin, Germany
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