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Ribasés M, Mitjans M, Hartman CA, Soler Artigas M, Demontis D, Larsson H, Ramos-Quiroga JA, Kuntsi J, Faraone SV, Børglum AD, Reif A, Franke B, Cormand B. Genetic architecture of ADHD and overlap with other psychiatric disorders and cognition-related phenotypes. Neurosci Biobehav Rev 2023; 153:105313. [PMID: 37451654 PMCID: PMC10789879 DOI: 10.1016/j.neubiorev.2023.105313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/30/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) co-occurs with many other psychiatric disorders and traits. In this review, we summarize and interpret the existing literature on the genetic architecture of these comorbidities based on hypothesis-generating approaches. Quantitative genetic studies indicate that genetic factors play a substantial role in the observed co-occurrence of ADHD with many different disorders and traits. Molecular genetic correlations derived from genome-wide association studies and results of studies based on polygenic risk scores confirm the general pattern but provide effect estimates that are smaller than those from twin studies. The identification of the specific genetic variants and biological pathways underlying co-occurrence using genome-wide approaches is still in its infancy. The first analyses of causal inference using genetic data support causal relationships between ADHD and comorbid disorders, although bidirectional effects identified in some instances point to complex relationships. While several issues in the methodology and inferences from the results are still to be overcome, this review shows that the co-occurrence of ADHD with many psychiatric disorders and traits is genetically interpretable.
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Affiliation(s)
- M Ribasés
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - M Mitjans
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalonia, Spain
| | - C A Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - M Soler Artigas
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - D Demontis
- Department of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark; The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - H Larsson
- School of Medical Sciences, Örebro University, Örebro, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - J A Ramos-Quiroga
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - J Kuntsi
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - S V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, Norton College of Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
| | - A D Børglum
- Department of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - A Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - B Franke
- Departments of Cognitive Neuroscience and Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - B Cormand
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalonia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), Instituto de Salud Carlos III, Madrid, Spain.
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Prats C, Fatjó-Vilas M, Penzol MJ, Kebir O, Pina-Camacho L, Demontis D, Crespo-Facorro B, Peralta V, González-Pinto A, Pomarol-Clotet E, Papiol S, Parellada M, Krebs MO, Fañanás L. Association and epistatic analysis of white matter related genes across the continuum schizophrenia and autism spectrum disorders: The joint effect of NRG1-ErbB genes. World J Biol Psychiatry 2022; 23:208-218. [PMID: 34338147 DOI: 10.1080/15622975.2021.1939155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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] [Indexed: 10/20/2022]
Abstract
BACKGROUND Schizophrenia-spectrum disorders (SSD) and Autism spectrum disorders (ASD) are neurodevelopmental disorders that share clinical, cognitive, and genetic characteristics, as well as particular white matter (WM) abnormalities. In this study, we aimed to investigate the role of a set of oligodendrocyte/myelin-related (OMR) genes and their epistatic effect on the risk for SSD and ASD. METHODS We examined 108 SNPs in a set of 22 OMR genes in 1749 subjects divided into three independent samples (187 SSD trios, 915 SSD cases/control, and 91 ASD trios). Genetic association and gene-gene interaction analyses were conducted with PLINK and MB-MDR, and permutation procedures were implemented in both. RESULTS Some OMR genes showed an association trend with SSD, while after correction, the ones that remained significantly associated were MBP, ERBB3, and AKT1. Significant gene-gene interactions were found between (i) NRG1*MBP (perm p-value = 0.002) in the SSD trios sample, (ii) ERBB3*AKT1 (perm p-value = 0.001) in the SSD case-control sample, and (iii) ERBB3*QKI (perm p-value = 0.0006) in the ASD trios sample. DISCUSSION Our results suggest the implication of OMR genes in the risk for both SSD and ASD and highlight the role of NRG1 and ERBB genes. These findings are in line with the previous evidence and may suggest pathophysiological mechanisms related to NRG1/ERBBs signalling in these disorders.
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Affiliation(s)
- C Prats
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Spain.,Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigació Biomèdica de Bellvitge, Hospital Duran i Reynals, L'Hospitalet de Llobregat, Barcelona, Spain
| | - M Fatjó-Vilas
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Spain.,Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - M J Penzol
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - O Kebir
- INSERM, U1266, Laboratory "Pathophysiology of psychiatric disorders", Institute of psychiatry and neurosciences of Paris, Paris, France.,GHU Psychiatrie et Neurosciences de Paris, Paris, France
| | - L Pina-Camacho
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - D Demontis
- Department of Biomedicine, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH, Aarhus, Denmark
| | - B Crespo-Facorro
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,University Hospital Virgen del Rocio, IbiS Department of Psychiatry, School of Medicine, University of Sevilla, Sevilla, Spain
| | - V Peralta
- Gerencia de Salud Mental, Servicio Navarro de Salud-Osasunbidea, Pamplona, Navarra, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNa), Pamplona, Navarra, Spain
| | - A González-Pinto
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Psychiatry Service, University Hospital of Alava-Santiago, EMBREC, EHU/UPV University of the Basque Country, Kronikgune, Vitoria, Spain
| | - E Pomarol-Clotet
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - S Papiol
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.,Department of Psychiatry, University Hospital, Ludwig Maximilian University, Munich, Germany
| | - M Parellada
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - M O Krebs
- INSERM, U1266, Laboratory "Pathophysiology of psychiatric disorders", Institute of psychiatry and neurosciences of Paris, Paris, France.,University Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine Paris Descartes, Service Hospitalo-Universitaire, Centre Hospitalier Sainte-Anne, Paris, France
| | - L Fañanás
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Spain.,Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
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Pettersson E, Lichtenstein P, Larsson H, Song J, Agrawal A, Børglum AD, Bulik CM, Daly MJ, Davis LK, Demontis D, Edenberg HJ, Grove J, Gelernter J, Neale BM, Pardiñas AF, Stahl E, Walters JTR, Walters R, Sullivan PF, Posthuma D, Polderman TJC. Genetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls. Psychol Med 2019; 49:1166-1173. [PMID: 30221610 PMCID: PMC6421104 DOI: 10.1017/s0033291718002039] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [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: 02/19/2018] [Revised: 03/16/2018] [Accepted: 07/16/2018] [Indexed: 01/03/2023]
Abstract
BACKGROUND Most studies underline the contribution of heritable factors for psychiatric disorders. However, heritability estimates depend on the population under study, diagnostic instruments, and study designs that each has its inherent assumptions, strengths, and biases. We aim to test the homogeneity in heritability estimates between two powerful, and state of the art study designs for eight psychiatric disorders. METHODS We assessed heritability based on data of Swedish siblings (N = 4 408 646 full and maternal half-siblings), and based on summary data of eight samples with measured genotypes (N = 125 533 cases and 208 215 controls). All data were based on standard diagnostic criteria. Eight psychiatric disorders were studied: (1) alcohol dependence (AD), (2) anorexia nervosa, (3) attention deficit/hyperactivity disorder (ADHD), (4) autism spectrum disorder, (5) bipolar disorder, (6) major depressive disorder, (7) obsessive-compulsive disorder (OCD), and (8) schizophrenia. RESULTS Heritability estimates from sibling data varied from 0.30 for Major Depression to 0.80 for ADHD. The estimates based on the measured genotypes were lower, ranging from 0.10 for AD to 0.28 for OCD, but were significant, and correlated positively (0.19) with national sibling-based estimates. When removing OCD from the data the correlation increased to 0.50. CONCLUSIONS Given the unique character of each study design, the convergent findings for these eight psychiatric conditions suggest that heritability estimates are robust across different methods. The findings also highlight large differences in genetic and environmental influences between psychiatric disorders, providing future directions for etiological psychiatric research.
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Affiliation(s)
- E. Pettersson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - P. Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - H. Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - J. Song
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - A. Agrawal
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - 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
| | - C. M. Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - M. J. Daly
- Analytic and Translational Genetics Unit (ATGU), Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - L. K. Davis
- Department of Medicine, Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - 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
| | - H. J. Edenberg
- Indiana University School of Medicine, Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Medical and Molecular Genetics, Indianapolis, IN, USA
| | - 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. Gelernter
- Yale University School of Medicine, Genetics and Neurobiology, New Haven, CT, USA
- US Department of Veterans Affairs, Psychiatry, West Haven, CT, USA
- Yale University School of Medicine, Psychiatry, New Haven, CT, USA
| | - B. M. Neale
- Analytic and Translational Genetics Unit (ATGU), Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - A. F. Pardiñas
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, Wales
| | - E. Stahl
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - J. T. R. Walters
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, Wales
| | - R. Walters
- Analytic and Translational Genetics Unit (ATGU), Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - P. F. Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Genetics and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - D. Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Genetics, VU University Medical Center (VUMC), Amsterdam, The Netherlands
| | - T. J. C. Polderman
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
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Pettersson E, Lichtenstein P, Larsson H, Song J, Agrawal A, Børglum AD, Bulik CM, Daly MJ, Davis LK, Demontis D, Edenberg HJ, Grove J, Gelernter J, Neale BM, Pardiñas AF, Stahl E, Walters JTR, Walters R, Sullivan PF, Posthuma D, Polderman TJC. Genetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls - CORRIGENDUM. Psychol Med 2019; 49:351. [PMID: 30334498 PMCID: PMC8054319 DOI: 10.1017/s0033291718002945] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [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: 11/07/2022]
Affiliation(s)
- E Pettersson
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - P Lichtenstein
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - H Larsson
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - J Song
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - A Agrawal
- Department of Psychiatry,Washington University in Saint Louis School of Medicine,Saint Louis, MO,USA
| | - A D Børglum
- Department of Biomedicine,Aarhus University,Aarhus,Denmark
| | - C M Bulik
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - M J Daly
- Analytic and Translational Genetics Unit (ATGU), Department of Medicine,Massachusetts General Hospital and Harvard Medical School,Boston, Massachusetts,USA
| | - L K Davis
- Department of Medicine, Division of Genetic Medicine,Vanderbilt Genetics Institute, Vanderbilt University Medical Center,Nashville, TN,USA
| | - D Demontis
- Department of Biomedicine,Aarhus University,Aarhus,Denmark
| | - H J Edenberg
- Indiana University School of Medicine, Biochemistry and Molecular Biology,Indianapolis, IN,USA
| | - J Grove
- Department of Biomedicine,Aarhus University,Aarhus,Denmark
| | - J Gelernter
- Yale University School of Medicine, Genetics and Neurobiology,New Haven, CT,USA
| | - B M Neale
- Analytic and Translational Genetics Unit (ATGU), Department of Medicine,Massachusetts General Hospital and Harvard Medical School,Boston, Massachusetts,USA
| | - A F Pardiñas
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University,Cardiff, Wales
| | - E Stahl
- Division of Psychiatric Genomics,Icahn School of Medicine at Mount Sinai,New York, NY,USA
| | - J T R Walters
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University,Cardiff, Wales
| | - R Walters
- Analytic and Translational Genetics Unit (ATGU), Department of Medicine,Massachusetts General Hospital and Harvard Medical School,Boston, Massachusetts,USA
| | - P F Sullivan
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - D Posthuma
- Department of Complex Trait Genetics,Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam,Amsterdam,The Netherlands
| | - T J C Polderman
- Department of Complex Trait Genetics,Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam,Amsterdam,The Netherlands
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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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6
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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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7
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Starnawska A, Demontis D, Pen A, Hedemand A, Nielsen AL, Staunstrup NH, Grove J, Als TD, Jarram A, O'Brien NL, Mors O, McQuillin A, Børglum AD, Nyegaard M. CACNA1C hypermethylation is associated with bipolar disorder. Transl Psychiatry 2016; 6:e831. [PMID: 27271857 PMCID: PMC4931616 DOI: 10.1038/tp.2016.99] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [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: 12/10/2015] [Revised: 03/05/2016] [Accepted: 04/15/2016] [Indexed: 12/19/2022] Open
Abstract
The CACNA1C gene, encoding a subunit of the L-type voltage-gated calcium channel is one of the best-supported susceptibility genes for bipolar disorder (BD). Genome-wide association studies have identified a cluster of non-coding single-nucleotide polymorphisms (SNPs) in intron 3 to be highly associated with BD and schizophrenia. The mechanism by which these SNPs confer risk of BD appears to be through an altered regulation of CACNA1C expression. The role of CACNA1C DNA methylation in BD has not yet been addressed. The aim of this study was to investigate if CACNA1C DNA methylation is altered in BD. First, the methylation status of five CpG islands (CGIs) across CACNA1C in blood from BD subjects (n=40) and healthy controls (n=38) was determined. Four islands were almost completely methylated or completely unmethylated, while one island (CGI 3) in intron 3 displayed intermediate methylation levels. In the main analysis, the methylation status of CGI 3 was analyzed in a larger sample of BD subjects (n=582) and control individuals (n=319). Out of six CpG sites that were investigated, five sites showed significant hypermethylation in cases (lowest P=1.16 × 10(-7) for CpG35). Nearby SNPs were found to influence the methylation level, and we identified rs2238056 in intron 3 as the strongest methylation quantitative trait locus (P=2.6 × 10(-7)) for CpG35. In addition, we found an increased methylation in females, and no difference between bipolar I and II. In conclusion, we find that CACNA1C methylation is associated with BD and suggest that the regulatory effect of the non-coding risk variants involves a shift in DNA methylation.
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Affiliation(s)
- A Starnawska
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - D Demontis
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - A Pen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
| | - A Hedemand
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - A L Nielsen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - N H Staunstrup
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - J Grove
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - T D Als
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - A Jarram
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - N L O'Brien
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - O Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Research Department P, Aarhus University Hospital, Risskov, Denmark
| | - A McQuillin
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - A D Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - M Nyegaard
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
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8
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Schaldemose E, Baastrup C, Horjales E, Demontis D, Svensson P, Finnerup N. Difference in perception of heat and the thermal grill illusion (TGI) in relation to the expression of the serotonin transporter and the effect of cutaneous capsaicin sensitization on the TGI. Scand J Pain 2014. [DOI: 10.1016/j.sjpain.2014.05.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Abstract
Aims
The aims of this study are to investigate the differences in (1) heat pain threshold, (2) pain and temperature perception of the TGI and (3) the sensation of capsaicin between subjects with high and low expression of the serotonin transporter (5-HTT). In addition the effects of capsaicin sensitization on the thermal grill illusion are studied.
Methods
A total of 80 healthy subjects are selected on the basis of their tri-allelic 5-HTTLPR genotype. Threshold for heat pain is examined and pain and unpleasantness of cutaneous capsaicin application are rated on visual analog scales (VAS). The sensory dimensions of the TGI (before and after capsaicin) is determined i.e. description of temperature (burning hot, hot, neutral, cold or freezing cold) and potential pain and intensity of cold and warmth are rated on respective VAS-scales.
Results
The study is ongoing. We expect that the low expression group has a higher heat pain threshold and rates the TGI and capsaicin less painful. The capsaicin sensitization lowers the heat pain threshold and increases the cold pain threshold. Therefore we hypothesize a lower rating of the TGI, determined as a lower heat VAS-score.
Conclusions
No conclusions yet. Preliminary results from the study will be presented at the SASP14.
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Affiliation(s)
- E.L. Schaldemose
- Danish Pain Research Center , Aarhus University , Aarhus , Denmark
| | - C. Baastrup
- Danish Pain Research Center , Aarhus University , Aarhus , Denmark
| | - E. Horjales
- Danish Pain Research Center , Aarhus University , Aarhus , Denmark
| | - D. Demontis
- Department of Biomedicine and Centre for Integrative Sequencing (iSEQ) , Aarhus University , Aarhus , Denmark
| | - P. Svensson
- Section of Clinical Oral Physiology, Department of Dentistry , Aarhus University , Aarhus , Denmark
| | - N.B. Finnerup
- Danish Pain Research Center , Aarhus University , Aarhus , Denmark
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9
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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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10
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Pertoldi C, Rødjajn S, Zalewski A, Demontis D, Loeschcke V, Kjærsgaard A. Population viability analysis of American mink (Neovison vison) escaped from Danish mink farms. J Anim Sci 2013; 91:2530-41. [PMID: 23478820 DOI: 10.2527/jas.2012-6039] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The American mink (Neovison vison) was introduced to Danish fur farms in the 1930s. An unknown number of mink have managed to escape these farms over the years. Today feral mink are found in the wild in most parts of Denmark. A population viability analysis (PVA) was performed using VORTEX, a stochastic population simulation software, to 1) predict the viability and potential population expansion from different sizes of founding populations of farm escapees, 2) investigate which parameters mostly affect the viability, 3) assess the effects of continuous escapes on the feral populations and how the feral populations are affected by management programs, and 4) discuss eradication strategies and their efficiency in management of the feral American mink population in Denmark. The simulations showed that juvenile mortality had the greatest effect on population viability followed by fecundity, adult mortality, and initial population size. Populations supplemented yearly by escapees all reached the carrying capacity and gained genetic variability over the years. Harvesting was modeled as the yearly number of mink caught in Denmark. Most of the simulated harvested populations crashed within few years after the first harvesting event. This indicates that the feral number of mink in Denmark is sustained due to supplements from mink farms and no true feral population exists. To manage the number of feral mink in Denmark it is essential to prevent escapees. The eradication effort would be most effective if focused on late summer and autumn when juvenile mink leave the maternal territory.
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Affiliation(s)
- C Pertoldi
- Aalborg University, Department 18/Section of Environmental Engineering Sohngårdsholmsvej 57, 9000 Aalborg, Denmark.
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11
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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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12
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Pedersen CB, Demontis D, Pedersen MS, Agerbo E, Mortensen PB, Børglum AD, Hougaard DM, Hollegaard MV, Mors O, Cantor-Graae E. Risk of schizophrenia in relation to parental origin and genome-wide divergence. Psychol Med 2012; 42:1515-1521. [PMID: 22067478 DOI: 10.1017/s0033291711002376] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [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] [Indexed: 11/08/2022]
Abstract
BACKGROUND Second-generation immigrants have an increased risk of schizophrenia, a finding that still lacks a satisfactory explanation. Various operational definitions of second-generation immigrants have been used, including foreign parental country of birth. However, with increasing global migration, it is not clear that parental country of birth necessarily is informative with regard to ethnicity. We compare two independently collected measures of parental foreign ethnicity, parental foreign country of birth versus genetic divergence, based on genome-wide genotypic data, to access which measure most efficiently captures the increased risk of schizophrenia among second-generation immigrants residing in Denmark. METHOD A case-control study covering all children born in Denmark since 1981 included 892 cases of schizophrenia and 883 matched controls. Genetic divergence was assessed using principal component analyses of the genotypic data. Independently, parental foreign country of birth was assessed using information recorded prospectively in the Danish Civil Registration System. We compared incidence rate ratios of schizophrenia associated with these two independently collected measures of parental foreign ethnicity. RESULTS People with foreign-born parents had a significantly increased risk of schizophrenia [relative risk (RR) 1.94 (95% confidence intervals (CI) 1.41-2.65)]. Genetically divergent persons also had a significant increased risk [RR 2.43 (95% CI 1.55-3.82)]. Mutual adjustment of parental foreign country of birth and genetic divergence showed no difference between these measures with regard to their potential impact on the results. CONCLUSIONS In terms of RR of schizophrenia, genetic divergence and parental foreign country of birth are interchangeable entities, and both entities have validity with regard to identifying second-generation immigrants.
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Affiliation(s)
- C B Pedersen
- National Centre for Register-based-Research, Aarhus University, Aarhus, Denmark.
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Demontis D, Larsen PF, Baekgaard H, Sønderup M, Hansen BK, Nielsen VH, Loeschcke V, Zalewski A, Zalewska H, Pertoldi C. Inbreeding affects fecundity of American mink (Neovison vison) in Danish farm mink. Anim Genet 2011; 42:437-9. [PMID: 21749427 DOI: 10.1111/j.1365-2052.2010.02155.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [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
Inbreeding is an increasing problem in farmed mink, because of limited exchange of individuals between farms. In this study, genetic relatedness within seven American mink (Neovison vison) colour strains originating from 13 different mink farms in Denmark was analysed using 21 polymorphic microsatellite loci. We detected large differences in the level of relatedness (range 0.017-0.520) within colour strains. Moreover, a very strong and highly significant negative correlation between the level of relatedness and fecundity was observed (r = 0.536, P < 0.001) [Correction added after online publication on 9 March 2011: r(2) has been changed to r]. To our knowledge, this is the first time that such a correlation has been demonstrated for commercially farmed mink.
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Affiliation(s)
- D Demontis
- Department of Human Genetics, Aarhus University, Denmark
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