1
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Martin NG, Defres S, Willis L, Beckley R, Hardwick H, Coxon A, Kadambari S, Yu LM, Liu X, Galal U, Conlin K, Griffiths MJ, Kneen R, Nadel S, Heath PT, Kelly DE, Solomon T, Sadarangani M, Pollard AJ. Paediatric meningitis in the conjugate vaccine era and a novel clinical decision model to predict bacterial aetiology. J Infect 2024; 88:106145. [PMID: 38552719 DOI: 10.1016/j.jinf.2024.106145] [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] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 03/13/2024] [Accepted: 03/22/2024] [Indexed: 04/16/2024]
Abstract
OBJECTIVES The aims of this study were to assess aetiology and clinical characteristics in childhood meningitis, and develop clinical decision rules to distinguish bacterial meningitis from other similar clinical syndromes. METHODS Children aged <16 years hospitalised with suspected meningitis/encephalitis were included, and prospectively recruited at 31 UK hospitals. Meningitis was defined as identification of bacteria/viruses from cerebrospinal fluid (CSF) and/or a raised CSF white blood cell count. New clinical decision rules were developed to distinguish bacterial from viral meningitis and those of alternative aetiology. RESULTS The cohort included 3002 children (median age 2·4 months); 1101/3002 (36·7%) had meningitis, including 180 bacterial, 423 viral and 280 with no pathogen identified. Enterovirus was the most common pathogen in those aged <6 months and 10-16 years, with Neisseria meningitidis and/or Streptococcus pneumoniae commonest at age 6 months to 9 years. The Bacterial Meningitis Score had a negative predictive value of 95·3%. We developed two clinical decision rules, that could be used either before (sensitivity 82%, specificity 71%) or after lumbar puncture (sensitivity 84%, specificity 93%), to determine risk of bacterial meningitis. CONCLUSIONS Bacterial meningitis comprised 6% of children with suspected meningitis/encephalitis. Our clinical decision rules provide potential novel approaches to assist with identifying children with bacterial meningitis. FUNDING This study was funded by the Meningitis Research Foundation, Pfizer and the NIHR Programme Grants for Applied Research.
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Affiliation(s)
- N G Martin
- Department of Paediatrics, University of Oxford and the Oxford University Hospitals NHS Foundation Trust, Level 2, Children's Hospital, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK; Department of Paediatrics, University of Otago Christchurch, 2 Riccarton Avenue, Christchurch Central City, Christchurch 8011, New Zealand
| | - S Defres
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 3BX, UK
| | - L Willis
- Department of Paediatrics, University of Oxford and the Oxford University Hospitals NHS Foundation Trust, Level 2, Children's Hospital, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
| | - R Beckley
- Department of Paediatrics, University of Oxford and the Oxford University Hospitals NHS Foundation Trust, Level 2, Children's Hospital, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
| | - H Hardwick
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 3BX, UK
| | - A Coxon
- Department of Paediatrics, University of Oxford and the Oxford University Hospitals NHS Foundation Trust, Level 2, Children's Hospital, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
| | - S Kadambari
- Department of Paediatric Infectious Diseases, Great Ormond Street Hospital for Children NHS Foundation Trust, London WC1N 3JH, UK; Infection, Immunity & Inflammation Department, University College London, Great Ormond Street Institute of Child Health, 30 Guilford St, London WC1N 1EH, UK
| | - L-M Yu
- Nuffield Department of Primary Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Rd, Oxford OX2 6GG, UK
| | - X Liu
- Department of Paediatrics, University of Oxford and the Oxford University Hospitals NHS Foundation Trust, Level 2, Children's Hospital, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
| | - U Galal
- Department of Paediatrics, University of Oxford and the Oxford University Hospitals NHS Foundation Trust, Level 2, Children's Hospital, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
| | - K Conlin
- Department of Paediatrics, University of Oxford and the Oxford University Hospitals NHS Foundation Trust, Level 2, Children's Hospital, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
| | - M J Griffiths
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 3BX, UK; Department of Neurology, Alder Hey Children's NHS Trust, E Prescot Rd, Liverpool L14 5AB, UK
| | - R Kneen
- Department of Neurology, Alder Hey Children's NHS Trust, E Prescot Rd, Liverpool L14 5AB, UK
| | - S Nadel
- Department of Paediatrics, St. Mary's Hospital, Praed St, London W2 1NY, UK
| | - P T Heath
- Centre for Neonatal and Paediatric Infection & Vaccine Institute, St. George's, University of London, Cranmer Terrace, London SW17 0RE, UK
| | - D E Kelly
- Department of Paediatrics, University of Oxford and the Oxford University Hospitals NHS Foundation Trust, Level 2, Children's Hospital, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
| | - T Solomon
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 3BX, UK; Department of Neurology, Walton Centre NHS Foundation Trust, Lower Ln, Fazakerley, Liverpool L9 7LJ, UK
| | - M Sadarangani
- Vaccine Evaluation Center, BC Children's Hospital Research Institute, 950 West 28th Ave, Vancouver, BC V5Z 4H4, Canada; Department of Pediatrics, University of British Columbia, 4480 Oak Street, Vancouver, BC V5Z 4H4, Canada.
| | - A J Pollard
- Department of Paediatrics, University of Oxford and the Oxford University Hospitals NHS Foundation Trust, Level 2, Children's Hospital, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
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2
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Ingold N, Zhu G, Duffy DL, Mothershaw A, Martin NG, MacGregor S, Law MH. Counting nevi on the outer arm provides an accurate and feasible alternative to total body nevus count. J Eur Acad Dermatol Venereol 2023; 37:e1302-e1304. [PMID: 37328921 PMCID: PMC10615689 DOI: 10.1111/jdv.19279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/12/2023] [Indexed: 06/18/2023]
Affiliation(s)
- N Ingold
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - G Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - D L Duffy
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - A Mothershaw
- Frazer Institute, University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - S MacGregor
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - M H Law
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
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3
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Gallagher CS, Mäkinen N, Harris HR, Rahmioglu N, Uimari O, Cook JP, Shigesi N, Ferreira T, Velez-Edwards DR, Edwards TL, Mortlock S, Ruhioglu Z, Day F, Becker CM, Karhunen V, Martikainen H, Järvelin MR, Cantor RM, Ridker PM, Terry KL, Buring JE, Gordon SD, Medland SE, Montgomery GW, Nyholt DR, Hinds DA, Tung JY, Perry JRB, Lind PA, Painter JN, Martin NG, Morris AP, Chasman DI, Missmer SA, Zondervan KT, Morton CC. Author Correction: Genome-wide association and epidemiological analyses reveal common genetic origins between uterine leiomyomata and endometriosis. Nat Commun 2022; 13:5543. [PMID: 36130970 PMCID: PMC9492759 DOI: 10.1038/s41467-022-33222-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- C S Gallagher
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - N Mäkinen
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
| | - H R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - N Rahmioglu
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - O Uimari
- Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK.,Department of Obstetrics and Gynecology, Oulu University Hospital and PEDEGO Research Unit & Medical Research Center Oulu, University of Oulu and Oulu University Hospital, 90220, Oulu, Finland
| | - J P Cook
- Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, UK
| | - N Shigesi
- Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - T Ferreira
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.,Big Data Institute, Li Ka Shing Center for Health Information and Discovery, Oxford University, Oxford, OX3 7LF, UK
| | - D R Velez-Edwards
- Vanderbilt Genetics Institute, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN, 37203, USA
| | - T L Edwards
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37203, USA
| | - S Mortlock
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, 4072, Australia
| | - Z Ruhioglu
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - F Day
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - C M Becker
- Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - V Karhunen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90220, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital, 90220, Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - H Martikainen
- Department of Obstetrics and Gynecology, Oulu University Hospital and PEDEGO Research Unit & Medical Research Center Oulu, University of Oulu and Oulu University Hospital, 90220, Oulu, Finland
| | - M-R Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90220, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital, 90220, Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK.,Biocenter Oulu, University of Oulu, 90220, Oulu, Finland.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK
| | - R M Cantor
- Department of Human Genetics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - P M Ridker
- Division of Preventative Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - K L Terry
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - J E Buring
- Division of Preventative Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - S D Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - S E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - G W Montgomery
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, 4072, Australia.,Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - D R Nyholt
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia.,Institute of Health and Biomedical Innovation and School of Biomedical Science, Queensland University of Technology, Brisbane, QLD, 4059, Australia
| | - D A Hinds
- 23andMe, Mountain View, CA, 94041, USA
| | - J Y Tung
- 23andMe, Mountain View, CA, 94041, USA
| | | | - J R B Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - P A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - J N Painter
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - N G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - A P Morris
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.,Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, UK
| | - D I Chasman
- Division of Preventative Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - S A Missmer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI, 49503, USA
| | - K T Zondervan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.,Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - C C Morton
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. .,Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. .,Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA. .,Manchester Centre for Audiology and Deafness, Manchester Academic Health Science Center, University of Manchester, Manchester, M13 9PL, UK.
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4
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Gallagher CS, Mäkinen N, Harris HR, Rahmioglu N, Uimari O, Cook JP, Shigesi N, Ferreira T, Velez-Edwards DR, Edwards TL, Mortlock S, Ruhioglu Z, Day F, Becker CM, Karhunen V, Martikainen H, Järvelin MR, Cantor RM, Ridker PM, Terry KL, Buring JE, Gordon SD, Medland SE, Montgomery GW, Nyholt DR, Hinds DA, Tung JY, Perry JRB, Lind PA, Painter JN, Martin NG, Morris AP, Chasman DI, Missmer SA, Zondervan KT, Morton CC. Genome-wide association and epidemiological analyses reveal common genetic origins between uterine leiomyomata and endometriosis. Nat Commun 2019; 10:4857. [PMID: 31649266 PMCID: PMC6813337 DOI: 10.1038/s41467-019-12536-4] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 09/10/2019] [Indexed: 12/17/2022] Open
Abstract
Uterine leiomyomata (UL) are the most common neoplasms of the female reproductive tract and primary cause for hysterectomy, leading to considerable morbidity and high economic burden. Here we conduct a GWAS meta-analysis in 35,474 cases and 267,505 female controls of European ancestry, identifying eight novel genome-wide significant (P < 5 × 10-8) loci, in addition to confirming 21 previously reported loci, including multiple independent signals at 10 loci. Phenotypic stratification of UL by heavy menstrual bleeding in 3409 cases and 199,171 female controls reveals genome-wide significant associations at three of the 29 UL loci: 5p15.33 (TERT), 5q35.2 (FGFR4) and 11q22.3 (ATM). Four loci identified in the meta-analysis are also associated with endometriosis risk; an epidemiological meta-analysis across 402,868 women suggests at least a doubling of risk for UL diagnosis among those with a history of endometriosis. These findings increase our understanding of genetic contribution and biology underlying UL development, and suggest overlapping genetic origins with endometriosis.
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Affiliation(s)
- C S Gallagher
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - N Mäkinen
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
| | - H R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - N Rahmioglu
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - O Uimari
- Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK.,Department of Obstetrics and Gynecology, Oulu University Hospital and PEDEGO Research Unit & Medical Research Center Oulu, University of Oulu and Oulu University Hospital, 90220, Oulu, Finland
| | - J P Cook
- Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, UK
| | - N Shigesi
- Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - T Ferreira
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.,Big Data Institute, Li Ka Shing Center for Health Information and Discovery, Oxford University, Oxford, OX3 7LF, UK
| | - D R Velez-Edwards
- Vanderbilt Genetics Institute, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN, 37203, USA
| | - T L Edwards
- Division of Epidemiology, Department of Medicine, Institute for Medicine and Public Health, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37203, USA
| | - S Mortlock
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, 4072, Australia
| | - Z Ruhioglu
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - F Day
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - C M Becker
- Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - V Karhunen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90220, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital, 90220, Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - H Martikainen
- Department of Obstetrics and Gynecology, Oulu University Hospital and PEDEGO Research Unit & Medical Research Center Oulu, University of Oulu and Oulu University Hospital, 90220, Oulu, Finland
| | - M-R Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90220, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital, 90220, Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK.,Biocenter Oulu, University of Oulu, 90220, Oulu, Finland.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK
| | - R M Cantor
- Department of Human Genetics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - P M Ridker
- Division of Preventative Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - K L Terry
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - J E Buring
- Division of Preventative Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - S D Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - S E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - G W Montgomery
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, 4072, Australia.,Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - D R Nyholt
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia.,Institute of Health and Biomedical Innovation and School of Biomedical Science, Queensland University of Technology, Brisbane, QLD, 4059, Australia
| | - D A Hinds
- 23andMe, Mountain View, CA, 94041, USA
| | - J Y Tung
- 23andMe, Mountain View, CA, 94041, USA
| | | | - J R B Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - P A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - J N Painter
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - N G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - A P Morris
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.,Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, UK
| | - D I Chasman
- Division of Preventative Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - S A Missmer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI, 49503, USA
| | - K T Zondervan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.,Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - C C Morton
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. .,Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. .,Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA. .,Manchester Centre for Audiology and Deafness, Manchester Academic Health Science Center, University of Manchester, Manchester, M13 9PL, UK.
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5
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Colodro-Conde L, Sánchez-Romera JF, Lind PA, Zhu G, Martin NG, Medland SE, Ordoñana JR. No evidence of association of oxytocin polymorphisms with breastfeeding in 2 independent samples. Genes Brain Behav 2018; 17:e12464. [PMID: 29412506 DOI: 10.1111/gbb.12464] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 01/17/2018] [Accepted: 02/01/2018] [Indexed: 12/16/2022]
Abstract
Oxytocin has an important function in breastfeeding via its role in the milk ejection reflex and in attachment and bonding processes. Genetic factors account for a significant part of the individual differences in breastfeeding behavior. OXT and OXTR have been proposed as gene candidates for breastfeeding. Previous studies have focused on certain single-nucleotide polymorphisms (SNPs) within these genes, finding null or inconsistent results. The present study analyses the associations between a wide coverage of polymorphisms in OXT and OXTR and breastfeeding duration from 2 large and independent unselected samples comprising a total of 580 and 2112 female twin mothers from the Murcia Twin Registry (Spain) and QIMR Berghofer Medical Research Institute (Australia), respectively. A total of 19 SNPs in OXT and 137 in OXTR SNPs were covered in both samples. Effects of the OXT and OXTR polymorphisms on breastfeeding duration were calculated by means of linear regression controlling for age at survey time, educational level, interaction between age and educational level and principal components of genetic ancestry. The analyses were conducted independently in the 2 samples and also meta-analyzed. Although some SNPs were associated at an alpha level of .05 with breastfeeding, they did not survive multiple testing correction. We conclude that SNPs within or nearby OXT and OXTR are unlikely to have large effects on breastfeeding behavior.
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Affiliation(s)
- L Colodro-Conde
- Genetics & Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.,Human Anatomy and Psychobiology Department, University of Murcia, Murcia, Spain
| | - J F Sánchez-Romera
- Human Anatomy and Psychobiology Department, University of Murcia, Murcia, Spain
| | - P A Lind
- Genetics & Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - G Zhu
- Genetics & Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - N G Martin
- Genetics & Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - S E Medland
- Genetics & Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - J R Ordoñana
- Human Anatomy and Psychobiology Department, University of Murcia, Murcia, Spain
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Witt SH, Streit F, Jungkunz M, Frank J, Awasthi S, Reinbold CS, Treutlein J, Degenhardt F, Forstner AJ, Heilmann-Heimbach S, Dietl L, Schwarze CE, Schendel D, Strohmaier J, Abdellaoui A, Adolfsson R, Air TM, Akil H, Alda M, Alliey-Rodriguez N, Andreassen OA, Babadjanova G, Bass NJ, Bauer M, Baune BT, Bellivier F, Bergen S, Bethell A, Biernacka JM, Blackwood DHR, Boks MP, Boomsma DI, Børglum AD, Borrmann-Hassenbach M, Brennan P, Budde M, Buttenschøn HN, Byrne EM, Cervantes P, Clarke TK, Craddock N, Cruceanu C, Curtis D, Czerski PM, Dannlowski U, Davis T, de Geus EJC, Di Florio A, Djurovic S, Domenici E, Edenberg HJ, Etain B, Fischer SB, Forty L, Fraser C, Frye MA, Fullerton JM, Gade K, Gershon ES, Giegling I, Gordon SD, Gordon-Smith K, Grabe HJ, Green EK, Greenwood TA, Grigoroiu-Serbanescu M, Guzman-Parra J, Hall LS, Hamshere M, Hauser J, Hautzinger M, Heilbronner U, Herms S, Hitturlingappa S, Hoffmann P, Holmans P, Hottenga JJ, Jamain S, Jones I, Jones LA, Juréus A, Kahn RS, Kammerer-Ciernioch J, Kirov G, Kittel-Schneider S, Kloiber S, Knott SV, Kogevinas M, Landén M, Leber M, Leboyer M, Li QS, Lissowska J, Lucae S, Martin NG, Mayoral-Cleries F, McElroy SL, McIntosh AM, McKay JD, McQuillin A, Medland SE, Middeldorp CM, Milaneschi Y, Mitchell PB, Montgomery GW, Morken G, Mors O, Mühleisen TW, Müller-Myhsok B, Myers RM, Nievergelt CM, Nurnberger JI, O'Donovan MC, Loohuis LMO, Ophoff R, Oruc L, Owen MJ, Paciga SA, Penninx BWJH, Perry A, Pfennig A, Potash JB, Preisig M, Reif A, Rivas F, Rouleau GA, Schofield PR, Schulze TG, Schwarz M, Scott L, Sinnamon GCB, Stahl EA, Strauss J, Turecki G, Van der Auwera S, Vedder H, Vincent JB, Willemsen G, Witt CC, Wray NR, Xi HS, Tadic A, Dahmen N, Schott BH, Cichon S, Nöthen MM, Ripke S, Mobascher A, Rujescu D, Lieb K, Roepke S, Schmahl C, Bohus M, Rietschel M. Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia. Transl Psychiatry 2017; 7:e1155. [PMID: 28632202 PMCID: PMC5537640 DOI: 10.1038/tp.2017.115] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [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: 02/16/2017] [Accepted: 04/10/2017] [Indexed: 01/02/2023] Open
Abstract
Borderline personality disorder (BOR) is determined by environmental and genetic factors, and characterized by affective instability and impulsivity, diagnostic symptoms also observed in manic phases of bipolar disorder (BIP). Up to 20% of BIP patients show comorbidity with BOR. This report describes the first case-control genome-wide association study (GWAS) of BOR, performed in one of the largest BOR patient samples worldwide. The focus of our analysis was (i) to detect genes and gene sets involved in BOR and (ii) to investigate the genetic overlap with BIP. As there is considerable genetic overlap between BIP, major depression (MDD) and schizophrenia (SCZ) and a high comorbidity of BOR and MDD, we also analyzed the genetic overlap of BOR with SCZ and MDD. GWAS, gene-based tests and gene-set analyses were performed in 998 BOR patients and 1545 controls. Linkage disequilibrium score regression was used to detect the genetic overlap between BOR and these disorders. Single marker analysis revealed no significant association after correction for multiple testing. Gene-based analysis yielded two significant genes: DPYD (P=4.42 × 10-7) and PKP4 (P=8.67 × 10-7); and gene-set analysis yielded a significant finding for exocytosis (GO:0006887, PFDR=0.019; FDR, false discovery rate). Prior studies have implicated DPYD, PKP4 and exocytosis in BIP and SCZ. The most notable finding of the present study was the genetic overlap of BOR with BIP (rg=0.28 [P=2.99 × 10-3]), SCZ (rg=0.34 [P=4.37 × 10-5]) and MDD (rg=0.57 [P=1.04 × 10-3]). We believe our study is the first to demonstrate that BOR overlaps with BIP, MDD and SCZ on the genetic level. Whether this is confined to transdiagnostic clinical symptoms should be examined in future studies.
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Affiliation(s)
- S H Witt
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - F Streit
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M Jungkunz
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - J Frank
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - S Awasthi
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - C S Reinbold
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - J Treutlein
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - F Degenhardt
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - A J Forstner
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | | | - L Dietl
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - C E Schwarze
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
| | - D Schendel
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - J Strohmaier
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - A Abdellaoui
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - R Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
| | - T M Air
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - H Akil
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - N Alliey-Rodriguez
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - O A Andreassen
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - G Babadjanova
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
| | - N J Bass
- Division of Psychiatry, University College London, London, UK
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
| | - B T Baune
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - F Bellivier
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - S Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - A Bethell
- National Center for Mental Health, Cardiff University, Cardiff, UK
| | - J M Biernacka
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - D H R Blackwood
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - M P Boks
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - A D Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | | | - P Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - M Budde
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - H N Buttenschøn
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - E M Byrne
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - P Cervantes
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - T-K Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - N Craddock
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - C Cruceanu
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - D Curtis
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - P M Czerski
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - U Dannlowski
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
| | - T Davis
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - E J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - A Di Florio
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - S Djurovic
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - E Domenici
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
| | - H J Edenberg
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
| | - B Etain
- Faculté de Médecine, Université Paris Est, Créteil, France
| | - S B Fischer
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - L Forty
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - C Fraser
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - M A Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - J M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - K Gade
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - E S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - I Giegling
- Department of Psychiatry, University of Halle, Halle, Germany
| | - S D Gordon
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - K Gordon-Smith
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - H J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - E K Green
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
| | - T A Greenwood
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - J Guzman-Parra
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
| | - L S Hall
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - M Hamshere
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - J Hauser
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - M Hautzinger
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
| | - U Heilbronner
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - S Herms
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - S Hitturlingappa
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - P Hoffmann
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - P Holmans
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - J-J Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - S Jamain
- Faculté de Médecine, Université Paris Est, Créteil, France
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
| | - I Jones
- National Center for Mental Health, Cardiff University, Cardiff, UK
| | - L A Jones
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - A Juréus
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - R S Kahn
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
| | | | - G Kirov
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - S Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - S Kloiber
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
| | - S V Knott
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - M Kogevinas
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - M Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - M Leber
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
| | - M Leboyer
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
| | - Q S Li
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
| | - J Lissowska
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
| | - S Lucae
- Max Planck Institute of Psychiatry, Munich, Germany
| | - N G Martin
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
| | - F Mayoral-Cleries
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
| | - S L McElroy
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - J D McKay
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - A McQuillin
- Division of Psychiatry, University College London, London, UK
| | - S E Medland
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - C M Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Y Milaneschi
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
| | - P B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
| | - G W Montgomery
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
| | - G Morken
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
| | - O Mors
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - T W Mühleisen
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
| | - B Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
| | - R M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - C M Nievergelt
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - J I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - M C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - L M O Loohuis
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | - R Ophoff
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
| | - L Oruc
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
| | - M J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - S A Paciga
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
| | - B W J H Penninx
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
| | - A Perry
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
| | - J B Potash
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - M Preisig
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
| | - A Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - F Rivas
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
| | - G A Rouleau
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
| | - P R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - T G Schulze
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
| | - M Schwarz
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | - L Scott
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - G C B Sinnamon
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
| | - E A Stahl
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - J Strauss
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - G Turecki
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - S Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - H Vedder
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | - J B Vincent
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
| | - G Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - C C Witt
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - N R Wray
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - H S Xi
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
| | - Bipolar Disorders Working Group of the Psychiatric Genomics Consortium
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
- Division of Psychiatry, University College London, London, UK
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Center for Mental Health, Cardiff University, Cardiff, UK
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Medical and Quality Assurance, Clinics of Upper Bavaria, Munich, Germany
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, University of Halle, Halle, Germany
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Psychological Medicine, University of Worcester, Worcester, UK
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
- Center of Psychiatry Weinsberg, Weinsberg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
- Division of Psychiatry, University College London, London, UK
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
- Psychiatric Center Nordbaden, Wiesloch, Germany
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
- Division of Psychiatry, University College London, London, UK
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Center for Mental Health, Cardiff University, Cardiff, UK
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Medical and Quality Assurance, Clinics of Upper Bavaria, Munich, Germany
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, University of Halle, Halle, Germany
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Psychological Medicine, University of Worcester, Worcester, UK
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
- Center of Psychiatry Weinsberg, Weinsberg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
- Division of Psychiatry, University College London, London, UK
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
- Psychiatric Center Nordbaden, Wiesloch, Germany
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Schizophrenia Working Group of the Psychiatric Genomics Consortium
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
- Division of Psychiatry, University College London, London, UK
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Center for Mental Health, Cardiff University, Cardiff, UK
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Medical and Quality Assurance, Clinics of Upper Bavaria, Munich, Germany
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, University of Halle, Halle, Germany
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Psychological Medicine, University of Worcester, Worcester, UK
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
- Center of Psychiatry Weinsberg, Weinsberg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
- Division of Psychiatry, University College London, London, UK
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
- Psychiatric Center Nordbaden, Wiesloch, Germany
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - A Tadic
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - N Dahmen
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - B H Schott
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - S Cichon
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - S Ripke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - A Mobascher
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - D Rujescu
- Department of Psychiatry, University of Halle, Halle, Germany
| | - K Lieb
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - S Roepke
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - C Schmahl
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M Bohus
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M Rietschel
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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7
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Schmaal L, Hibar DP, Sämann PG, Hall GB, Baune BT, Jahanshad N, Cheung JW, van Erp TGM, Bos D, Ikram MA, Vernooij MW, Niessen WJ, Tiemeier H, Hofman A, Wittfeld K, Grabe HJ, Janowitz D, Bülow R, Selonke M, Völzke H, Grotegerd D, Dannlowski U, Arolt V, Opel N, Heindel W, Kugel H, Hoehn D, Czisch M, Couvy-Duchesne B, Rentería ME, Strike LT, Wright MJ, Mills NT, de Zubicaray GI, McMahon KL, Medland SE, Martin NG, Gillespie NA, Goya-Maldonado R, Gruber O, Krämer B, Hatton SN, Lagopoulos J, Hickie IB, Frodl T, Carballedo A, Frey EM, van Velzen LS, Penninx BWJH, van Tol MJ, van der Wee NJ, Davey CG, Harrison BJ, Mwangi B, Cao B, Soares JC, Veer IM, Walter H, Schoepf D, Zurowski B, Konrad C, Schramm E, Normann C, Schnell K, Sacchet MD, Gotlib IH, MacQueen GM, Godlewska BR, Nickson T, McIntosh AM, Papmeyer M, Whalley HC, Hall J, Sussmann JE, Li M, Walter M, Aftanas L, Brack I, Bokhan NA, Thompson PM, Veltman DJ. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Mol Psychiatry 2017; 22:900-909. [PMID: 27137745 PMCID: PMC5444023 DOI: 10.1038/mp.2016.60] [Citation(s) in RCA: 687] [Impact Index Per Article: 98.1] [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: 01/20/2016] [Revised: 02/25/2016] [Accepted: 03/17/2016] [Indexed: 12/20/2022]
Abstract
The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen's d effect sizes: -0.10 to -0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: -0.26 to -0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.
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Affiliation(s)
- L Schmaal
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - D P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - P G Sämann
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - G B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - B T Baune
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - N Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - J W Cheung
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - D Bos
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M A Ikram
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M W Vernooij
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - W J Niessen
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - K Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - H J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - D Janowitz
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - R Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - M Selonke
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), partner site Griefswald, Greifswald, Germany
- German Center for Diabetes Research (DZD), partner site Griefswald, Greifswald, Germany
| | - D Grotegerd
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - U Dannlowski
- Department of Psychiatry, University of Muenster, Muenster, Germany
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - V Arolt
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - N Opel
- Department of Psychiatry, University of Muenster, Muenster, Germany
| | - W Heindel
- Department of Clinical Radiology, University of Muenster, Muenster, Germany
| | - H Kugel
- Department of Clinical Radiology, University of Muenster, Muenster, Germany
| | - D Hoehn
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - M Czisch
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Munich, Germany
| | - B Couvy-Duchesne
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - M E Rentería
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - L T Strike
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - M J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - N T Mills
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - G I de Zubicaray
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - K L McMahon
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - S E Medland
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N G Martin
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - R Goya-Maldonado
- Centre for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August-University, Göttingen, Germany
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - B Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - S N Hatton
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - J Lagopoulos
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - I B Hickie
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - T Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany
- Department of Psychiatry and Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - A Carballedo
- Department of Psychiatry and Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - E M Frey
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - L S van Velzen
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - B W J H Penninx
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - M-J van Tol
- Neuroimaging Center, Section of Cognitive Neuropsychiatry, Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - N J van der Wee
- Department of Psychiatry and Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, The Netherlands
| | - C G Davey
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - B J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - B Mwangi
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - B Cao
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - J C Soares
- UT Center of Excellence on Mood Disoders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - I M Veer
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - D Schoepf
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - B Zurowski
- Center for Integrative Psychiatry, University of Lübeck, Lübeck, Germany
| | - C Konrad
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum Rotenburg, Rotenburg, Germany
| | - E Schramm
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - C Normann
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - K Schnell
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - M D Sacchet
- Neurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA
| | - I H Gotlib
- Neurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA
| | - G M MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - B R Godlewska
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Cogntive Ageing and Cogntive Epidemiology, University of Edinburgh, Edinburg, UK
| | - M Papmeyer
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Division of Systems Neuroscience of Psychopathology, Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - J Hall
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Department of Psychiatry, NHS Borders, Melrose, UK
| | - M Li
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - M Walter
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Psychiatry, University Tübingen, Tübingen, Germany
| | - L Aftanas
- Department of Experimental and Clinical Neuroscience, Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - I Brack
- Department of Experimental and Clinical Neuroscience, Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - N A Bokhan
- Mental Health Research Institute, Tomsk, Russia
- Faculty of Psychology, National Research Tomsk State University, Tomsk, Russia
- Department of General Medicine, Siberian State Medical University, Tomsk, Russia
| | - P M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - D J Veltman
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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Crist RC, Doyle GA, Nelson EC, Degenhardt L, Martin NG, Montgomery GW, Saxon AJ, Ling W, Berrettini WH. A polymorphism in the OPRM1 3'-untranslated region is associated with methadone efficacy in treating opioid dependence. Pharmacogenomics J 2016; 18:173-179. [PMID: 27958381 PMCID: PMC5468510 DOI: 10.1038/tpj.2016.89] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 11/07/2016] [Accepted: 11/14/2016] [Indexed: 11/10/2022]
Abstract
The mu-opioid receptor (MOR) is the primary target of methadone and buprenorphine. The primary neuronal transcript of the OPRM1 gene, MOR-1, contains a ~13kb 3′ untranslated region with five common haplotypes in European-Americans. We analyzed the effects of these haplotypes on the percentage of opioid positive urine tests in European-Americans (n = 582) during a 24-week, randomized, open-label trial of methadone or buprenorphine/naloxone (Suboxone) for the treatment of opioid dependence. A single haplotype, tagged by rs10485058, was significantly associated with patient urinalysis data in the methadone treatment group. Methadone patients with the A/A genotype at rs10485058 were less likely to have opioid-positive urine drug screens than those in the combined A/G and G/G genotypes group (Relative Risk = 0.76, 95% confidence intervals = 0.73–0.80, p = 0.0064). Genotype at rs10485058 also predicted self-reported relapse rates in an independent population of Australian patients of European descent (n = 1215) who were receiving opioid substitution therapy (p = 0.003). In silico analysis predicted that miR-95-3p would interact with the G, but not the A allele of rs10485058. Luciferase assays indicated miR-95-3p decreased reporter activity of constructs containing the G, but not the A allele of rs10485058, suggesting a potential mechanism for the observed pharmacogenetic effect. These findings suggest that selection of a medication for opioid dependence based on rs10485058 genotype might improve outcomes in this ethnic group.
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Affiliation(s)
- R C Crist
- Department of Psychiatry, Center for Neurobiology and Behavior, University of Pennsylvania School of Medicine, PA, Pennsylvania, USA
| | - G A Doyle
- Department of Psychiatry, Center for Neurobiology and Behavior, University of Pennsylvania School of Medicine, PA, Pennsylvania, USA
| | - E C Nelson
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - L Degenhardt
- National Drug and Alcohol Research Centre, UNSW Australia, Sydney, New South Wales, Australia
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - G W Montgomery
- The University of Queensland, Herston, Queensland, Australia
| | - A J Saxon
- Veteran's Affairs Puget Sound Health Care System, Seattle, WA, USA
| | - W Ling
- University of California, Los Angeles, Integrated Substance Abuse Programs, Los Angeles, CA, USA
| | - W H Berrettini
- Department of Psychiatry, Center for Neurobiology and Behavior, University of Pennsylvania School of Medicine, PA, Pennsylvania, USA
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Ellingson JM, Richmond-Rakerd LS, Statham DJ, Martin NG, Slutske WS. Most of the genetic covariation between major depressive and alcohol use disorders is explained by trait measures of negative emotionality and behavioral control. Psychol Med 2016; 46:2919-2930. [PMID: 27460396 PMCID: PMC9361478 DOI: 10.1017/s0033291716001525] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [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] [Indexed: 12/14/2022]
Abstract
BACKGROUND Mental health disorders commonly co-occur, even between conceptually distinct syndromes, such as internalizing and externalizing disorders. The current study investigated whether phenotypic, genetic, and environmental variance in negative emotionality and behavioral control account for the covariation between major depressive disorder (MDD) and alcohol use disorder (AUD). METHOD A total of 3623 members of a national twin registry were administered structured diagnostic telephone interviews that included assessments of lifetime histories of MDD and AUD, and were mailed self-report personality questionnaires that assessed stress reactivity (SR) and behavioral control (CON). A series of biometric models were fitted to partition the proportion of covariance between MDD and AUD into SR and CON. RESULTS A statistically significant proportion of the correlation between MDD and AUD was due to variance specific to SR (men = 0.31, women = 0.27) and CON (men = 0.20, women = 0.19). Further, genetic factors explained a large proportion of this correlation (0.63), with unique environmental factors explaining the rest. SR explained a significant proportion of the genetic (0.33) and environmental (0.23) overlap between MDD and AUD. In contrast, variance specific to CON accounted for genetic overlap (0.32), but not environmental overlap (0.004). In total, SR and CON accounted for approximately 70% of the genetic and 20% of the environmental covariation between MDD and AUD. CONCLUSIONS This is the first study to demonstrate that negative emotionality and behavioral control confer risk for the co-occurrence of MDD and AUD via genetic factors. These findings are consistent with the aims of NIMH's RDoC proposal to elucidate how transdiagnostic risk factors drive psychopathology.
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Affiliation(s)
- J. M. Ellingson
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
- Alcoholism Research Center at Washington University School of Medicine, St Louis, MO, USA
| | - L. S. Richmond-Rakerd
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
- Alcoholism Research Center at Washington University School of Medicine, St Louis, MO, USA
| | - D. J. Statham
- University of the Sunshine Coast, Queensland, Australia
| | - N. G. Martin
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - W. S. Slutske
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
- Alcoholism Research Center at Washington University School of Medicine, St Louis, MO, USA
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Revez JA, Matheson MC, Hui J, Baltic S, James A, Upham JW, Dharmage S, Thompson PJ, Martin NG, Hopper JL, Ferreira MAR. Identification of STOML2 as a putative novel asthma risk gene associated with IL6R. Allergy 2016; 71:1020-30. [PMID: 26932604 DOI: 10.1111/all.12869] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2016] [Indexed: 01/05/2023]
Abstract
BACKGROUND Functional variants in the interleukin-6 receptor gene (IL6R) are associated with asthma risk. We hypothesized that genes co-expressed with IL6R might also be regulated by genetic polymorphisms that are associated with asthma risk. The aim of this study was to identify such genes. METHODS To identify genes whose expression was correlated with that of IL6R, we analyzed gene expression levels generated for 373 human lymphoblastoid cell lines by the Geuvadis consortium and for 38 hematopoietic cell types by the Differentiation Map Portal (DMAP) project. Genes correlated with IL6R were then screened for nearby single nucleotide polymorphisms (SNPs) that were significantly associated with both variation in gene expression levels (eSNPs) and asthma risk. RESULTS We identified 90 genes with expression levels correlated with those of IL6R and that also had a nearby eSNP associated with disease risk in a published asthma GWAS (N = 20 776). For 16 (18%) genes, the association between the eSNP and asthma risk replicated with the same direction of effect in a further independent published asthma GWAS (N = 27 378). Among the top replicated associations (FDR < 0.05) were eSNPs for four known (IL18R1, IL18RAP, BCL6, and STAT6) and one putative novel asthma risk gene, stomatin-like protein 2 (STOML2). The expression of STOML2 was negatively correlated with IL6R, while eSNPs that increased the expression of STOML2 were associated with an increased asthma risk. CONCLUSION The expression of STOML2, a gene that plays a key role in mitochondrial function and T-cell activation, is associated with both IL-6 signaling and asthma risk.
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Affiliation(s)
- J. A. Revez
- QIMR Berghofer Medical Research Institute; Brisbane Qld Australia
| | - M. C. Matheson
- Melbourne School of Population and Global Health; The University of Melbourne; Melbourne Vic. Australia
| | - J. Hui
- PathWest Laboratory Medicine of Western Australia (WA); Nedlands WA Australia
- School of Population Health; The University of WA; Nedlands WA Australia
- School of Pathology and Laboratory Medicine; The University of WA; Nedlands WA Australia
- Busselton Population Medical Research Institute; Sir Charles Gairdner Hospital; Perth WA Australia
| | - S. Baltic
- Institute for Respiratory Health; University of WA; Perth WA Australia
| | - A. James
- Busselton Population Medical Research Institute; Sir Charles Gairdner Hospital; Perth WA Australia
- School of Medicine and Pharmacology; University of Western Australia; Nedlands WA Australia
- Department of Pulmonary Physiology; West Australian Sleep Disorders Research Institute; Nedlands WA Australia
| | - J. W. Upham
- School of Medicine; Translational Research Institute; The University of Queensland; Brisbane Qld Australia
| | - S. Dharmage
- Melbourne School of Population and Global Health; The University of Melbourne; Melbourne Vic. Australia
| | - P. J. Thompson
- Institute for Respiratory Health; University of WA; Perth WA Australia
- School of Medicine and Pharmacology; University of Western Australia; Nedlands WA Australia
| | - N. G. Martin
- QIMR Berghofer Medical Research Institute; Brisbane Qld Australia
| | - J. L. Hopper
- Melbourne School of Population and Global Health; The University of Melbourne; Melbourne Vic. Australia
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11
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Schmaal L, Veltman DJ, van Erp TGM, Sämann PG, Frodl T, Jahanshad N, Loehrer E, Tiemeier H, Hofman A, Niessen WJ, Vernooij MW, Ikram MA, Wittfeld K, Grabe HJ, Block A, Hegenscheid K, Völzke H, Hoehn D, Czisch M, Lagopoulos J, Hatton SN, Hickie IB, Goya-Maldonado R, Krämer B, Gruber O, Couvy-Duchesne B, Rentería ME, Strike LT, Mills NT, de Zubicaray GI, McMahon KL, Medland SE, Martin NG, Gillespie NA, Wright MJ, Hall GB, MacQueen GM, Frey EM, Carballedo A, van Velzen LS, van Tol MJ, van der Wee NJ, Veer IM, Walter H, Schnell K, Schramm E, Normann C, Schoepf D, Konrad C, Zurowski B, Nickson T, McIntosh AM, Papmeyer M, Whalley HC, Sussmann JE, Godlewska BR, Cowen PJ, Fischer FH, Rose M, Penninx BWJH, Thompson PM, Hibar DP. Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group. Mol Psychiatry 2016; 21:806-12. [PMID: 26122586 PMCID: PMC4879183 DOI: 10.1038/mp.2015.69] [Citation(s) in RCA: 667] [Impact Index Per Article: 83.4] [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: 10/27/2014] [Revised: 03/13/2015] [Accepted: 04/01/2015] [Indexed: 11/09/2022]
Abstract
The pattern of structural brain alterations associated with major depressive disorder (MDD) remains unresolved. This is in part due to small sample sizes of neuroimaging studies resulting in limited statistical power, disease heterogeneity and the complex interactions between clinical characteristics and brain morphology. To address this, we meta-analyzed three-dimensional brain magnetic resonance imaging data from 1728 MDD patients and 7199 controls from 15 research samples worldwide, to identify subcortical brain volumes that robustly discriminate MDD patients from healthy controls. Relative to controls, patients had significantly lower hippocampal volumes (Cohen's d=-0.14, % difference=-1.24). This effect was driven by patients with recurrent MDD (Cohen's d=-0.17, % difference=-1.44), and we detected no differences between first episode patients and controls. Age of onset ⩽21 was associated with a smaller hippocampus (Cohen's d=-0.20, % difference=-1.85) and a trend toward smaller amygdala (Cohen's d=-0.11, % difference=-1.23) and larger lateral ventricles (Cohen's d=0.12, % difference=5.11). Symptom severity at study inclusion was not associated with any regional brain volumes. Sample characteristics such as mean age, proportion of antidepressant users and proportion of remitted patients, and methodological characteristics did not significantly moderate alterations in brain volumes in MDD. Samples with a higher proportion of antipsychotic medication users showed larger caudate volumes in MDD patients compared with controls. This currently largest worldwide effort to identify subcortical brain alterations showed robust smaller hippocampal volumes in MDD patients, moderated by age of onset and first episode versus recurrent episode status.
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Affiliation(s)
- L Schmaal
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands,Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, P.O. Box 74077, Amsterdam 1070 BB, The Netherlands. E-mail:
| | - D J Veltman
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - P G Sämann
- Max Planck Institute of Psychiatry, Munich, Germany
| | - T Frodl
- Department of Psychiatry, University of Regensburg, Regensburg, Germany,Department of Psychiatry, University of Dublin, Trinity College, Dublin, Ireland
| | - N Jahanshad
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - E Loehrer
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Department of Psychiatry, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - W J Niessen
- Departments of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Imaging Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - M W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Departments of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M A Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Departments of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - K Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - H J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany,Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany,Helios Hospital Stralsund, Stralsund, Germany
| | - A Block
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - K Hegenscheid
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - H Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - D Hoehn
- Max Planck Institute of Psychiatry, Munich, Germany
| | - M Czisch
- Max Planck Institute of Psychiatry, Munich, Germany
| | - J Lagopoulos
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - S N Hatton
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - I B Hickie
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - R Goya-Maldonado
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany
| | - B Krämer
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany
| | - O Gruber
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen, Germany
| | - B Couvy-Duchesne
- NeuroImaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,School of Psychology, University of Queensland, Brisbane, QLD, Australia,Center for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - M E Rentería
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - L T Strike
- NeuroImaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,School of Psychology, University of Queensland, Brisbane, QLD, Australia,Center for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - N T Mills
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - G I de Zubicaray
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
| | - K L McMahon
- Center for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - S E Medland
- Quantitative Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - M J Wright
- NeuroImaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - G B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - G M MacQueen
- Department of Psychiatry, Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - E M Frey
- Department of Psychiatry, University of Regensburg, Regensburg, Germany
| | - A Carballedo
- Department of Psychiatry and Institute of Neuroscience, University of Dublin, Trinity College Dublin, Dublin, Ireland
| | - L S van Velzen
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - M J van Tol
- University of Groningen, University Medical Center Groningen, NeuroImaging Center, Groningen, The Netherlands
| | - N J van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden University, Leiden, The Netherlands,Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - I M Veer
- Department of Psychiatry and Psychotherapy, Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - K Schnell
- Department of General Psychiatry, University Hospital Heidelberg, Heidelberg, Germany
| | - E Schramm
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg im Breisgau, Germany
| | - C Normann
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg im Breisgau, Germany
| | - D Schoepf
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - C Konrad
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - B Zurowski
- Center for Integrative Psychiatry, University of Lübeck, Lübeck, Germany
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - M Papmeyer
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - B R Godlewska
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - P J Cowen
- University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - F H Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité Universitätsmedizin, Berlin, Germany,Institute for Social Medicine, Epidemology and Health Economics, Charité Universitätsmedizin, Berlin, Germany
| | - M Rose
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité Universitätsmedizin, Berlin, Germany,Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - B W J H Penninx
- Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - P M Thompson
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - D P Hibar
- Imaging Genetics Center, Department of Neurology, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
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12
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Howrigan DP, Simonson MA, Davies G, Harris SE, Tenesa A, Starr JM, Liewald DC, Deary IJ, McRae A, Wright MJ, Montgomery GW, Hansell N, Martin NG, Payton A, Horan M, Ollier WE, Abdellaoui A, Boomsma DI, DeRosse P, Knowles EEM, Glahn DC, Djurovic S, Melle I, Andreassen OA, Christoforou A, Steen VM, Hellard SL, Sundet K, Reinvang I, Espeseth T, Lundervold AJ, Giegling I, Konte B, Hartmann AM, Rujescu D, Roussos P, Giakoumaki S, Burdick KE, Bitsios P, Donohoe G, Corley RP, Visscher PM, Pendleton N, Malhotra AK, Neale BM, Lencz T, Keller MC. Genome-wide autozygosity is associated with lower general cognitive ability. Mol Psychiatry 2016; 21:837-43. [PMID: 26390830 PMCID: PMC4803638 DOI: 10.1038/mp.2015.120] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Revised: 05/23/2015] [Accepted: 07/13/2015] [Indexed: 01/12/2023]
Abstract
Inbreeding depression refers to lower fitness among offspring of genetic relatives. This reduced fitness is caused by the inheritance of two identical chromosomal segments (autozygosity) across the genome, which may expose the effects of (partially) recessive deleterious mutations. Even among outbred populations, autozygosity can occur to varying degrees due to cryptic relatedness between parents. Using dense genome-wide single-nucleotide polymorphism (SNP) data, we examined the degree to which autozygosity associated with measured cognitive ability in an unselected sample of 4854 participants of European ancestry. We used runs of homozygosity-multiple homozygous SNPs in a row-to estimate autozygous tracts across the genome. We found that increased levels of autozygosity predicted lower general cognitive ability, and estimate a drop of 0.6 s.d. among the offspring of first cousins (P=0.003-0.02 depending on the model). This effect came predominantly from long and rare autozygous tracts, which theory predicts as more likely to be deleterious than short and common tracts. Association mapping of autozygous tracts did not reveal any specific regions that were predictive beyond chance after correcting for multiple testing genome wide. The observed effect size is consistent with studies of cognitive decline among offspring of known consanguineous relationships. These findings suggest a role for multiple recessive or partially recessive alleles in general cognitive ability, and that alleles decreasing general cognitive ability have been selected against over evolutionary time.
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Affiliation(s)
- D P Howrigan
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Genetics, Broad Institute of Harvard and MIT, Cambridge Center, Cambridge, MA, USA
| | - M A Simonson
- Division of Data Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - G Davies
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - S E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - A Tenesa
- Institute of Genetics and Molecular Medicine, MRC Human Genetics Unit, Western General Hospital, University of Edinburgh, Edinburgh, UK
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Roslin, UK
| | - J M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - I J Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - A McRae
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - M J Wright
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - G W Montgomery
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N Hansell
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N G Martin
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - A Payton
- Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK
| | - M Horan
- Centre for Clinical and Cognitive Neurosciences, Institute of Brain Behaviour and Mental Health, University of Manchester, Salford Royal NHS Foundation Trust, Salford, UK
| | - W E Ollier
- Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK
| | - A Abdellaoui
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - D I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
- EMGO+ Institute for Health and Care Research, Amsterdam, The Netherlands
| | - P DeRosse
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - E E M Knowles
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - D C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - S Djurovic
- NORMENT, KG Jebsen Centre, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
| | - I Melle
- NORMENT, KG Jebsen Centre, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
- University of Oslo, Oslo, Norway
| | - O A Andreassen
- NORMENT, KG Jebsen Centre, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
- University of Oslo, Oslo, Norway
| | - A Christoforou
- K.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - V M Steen
- K.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - S L Hellard
- K.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - K Sundet
- NORMENT, KG Jebsen Centre, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - I Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - T Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway
- Norwegian Center for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - A J Lundervold
- K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Kavli Research Centre for Aging and Dementia, Haraldsplass Deaconess Hospital, Bergen, Norway
| | - I Giegling
- Department of Psychiatry, University of Halle, Halle, Germany
| | - B Konte
- Department of Psychiatry, University of Halle, Halle, Germany
| | - A M Hartmann
- Department of Psychiatry, University of Halle, Halle, Germany
| | - D Rujescu
- Department of Psychiatry, University of Halle, Halle, Germany
| | - P Roussos
- Department of Psychiatry, Friedman Brain Institute, Department of Genetics and Genomic Sciences, and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Mental Illness Research Education and Clinical Center (MIRECC), Bronx, NY, USA
| | - S Giakoumaki
- Department of Psychology, University of Crete, Rethymno, Crete, Greece
| | - K E Burdick
- Department of Psychiatry, Friedman Brain Institute, Department of Genetics and Genomic Sciences, and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - P Bitsios
- Department of Psychiatry, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
- Computational Medicine Laboratory, Institute of Computer Science at FORTH, Heraklion, Greece
| | - G Donohoe
- School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - R P Corley
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, USA
| | - P M Visscher
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- University of Queensland Diamantina Institute, The University of Queensland, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - N Pendleton
- Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK
| | - A K Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - B M Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Genetics, Broad Institute of Harvard and MIT, Cambridge Center, Cambridge, MA, USA
| | - T Lencz
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - M C Keller
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, USA
- Department of Psychology, University of Colorado at Boulder, Boulder, CO, USA
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13
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Stringer S, Minică CC, Verweij KJH, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, Mihailov E, van der Most PJ, Sánchez-Mora C, Roos L, Sherva R, Walters R, Ware JJ, Abdellaoui A, Bigdeli TB, Branje SJT, Brown SA, Bruinenberg M, Casas M, Esko T, Garcia-Martinez I, Gordon SD, Harris JM, Hartman CA, Henders AK, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Huizink AC, Irons DE, Kahn RS, Korhonen T, Kranzler HR, Krauter K, van Lier PAC, Lubke GH, Madden PAF, Mägi R, McGue MK, Medland SE, Meeus WHJ, Miller MB, Montgomery GW, Nivard MG, Nolte IM, Oldehinkel AJ, Pausova Z, Qaiser B, Quaye L, Ramos-Quiroga JA, Richarte V, Rose RJ, Shin J, Stallings MC, Stiby AI, Wall TL, Wright MJ, Koot HM, Paus T, Hewitt JK, Ribasés M, Kaprio J, Boks MP, Snieder H, Spector T, Munafò MR, Metspalu A, Gelernter J, Boomsma DI, Iacono WG, Martin NG, Gillespie NA, Derks EM, Vink JM. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Transl Psychiatry 2016; 6:e769. [PMID: 27023175 PMCID: PMC4872459 DOI: 10.1038/tp.2016.36] [Citation(s) in RCA: 110] [Impact Index Per Article: 13.8] [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: 12/11/2015] [Accepted: 12/21/2015] [Indexed: 01/15/2023] Open
Abstract
Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32 330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P<0.001) of the liability of lifetime cannabis use. Finally, there was a strong genetic correlation (rg=0.83; P=1.85 × 10(-8)) between lifetime cannabis use and lifetime cigarette smoking implying that the SNP effect sizes of the two traits are highly correlated. This is the largest meta-analysis of cannabis GWA studies to date, revealing important new insights into the genetic pathways of lifetime cannabis use. Future functional studies should explore the impact of the identified genes on the biological mechanisms of cannabis use.
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Affiliation(s)
- S Stringer
- Department of Complex Trait Genetics, VU Amsterdam, Center for Neurogenomics and Cognitive Research, Amsterdam, The Netherlands
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | - C C Minică
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - K J H Verweij
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - H Mbarek
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - M Bernard
- The Hospital for Sick Children Research Institute, Toronto, Canada
| | - J Derringer
- Department of Psychology, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - K R van Eijk
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J D Isen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - A Loukola
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
| | - D F Maciejewski
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - E Mihailov
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - P J van der Most
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - C Sánchez-Mora
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
| | - L Roos
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - R Sherva
- Biomedical Genetics Department, Boston University School of Medicine, Boston, MA, USA
| | - R Walters
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - J J Ware
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - A Abdellaoui
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - T B Bigdeli
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - S J T Branje
- Research Centre Adolescent Development, Utrecht University, Utrecht, The Netherlands
| | - S A Brown
- Department of Psychology and Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M Bruinenberg
- The LifeLines Cohort Study, University of Groningen, Groningen, The Netherlands
| | - M Casas
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - T Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - I Garcia-Martinez
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - S D Gordon
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - J M Harris
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - C A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A K Henders
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - A C Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - I B Hickie
- Brain and Mind Research Institute, University of Sydney, Sydney, NSW, Australia
| | - M Hickman
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - C J Hopfer
- Department of Psychiatry, University of Colorado Denver, Aurora, CO, USA
| | - J J Hottenga
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - A C Huizink
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - D E Irons
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - R S Kahn
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - T Korhonen
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
| | - H R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - K Krauter
- Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - P A C van Lier
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - G H Lubke
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - P A F Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - R Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - M K McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - S E Medland
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - W H J Meeus
- Research Centre Adolescent Development, Utrecht University, Utrecht, The Netherlands
- Developmental Psychology, Tilburg University, Tilburg, The Netherlands
| | - M B Miller
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - G W Montgomery
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - M G Nivard
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - I M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A J Oldehinkel
- Interdisciplinary Center for Pathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Z Pausova
- The Hospital for Sick Children Research Institute, Toronto, Canada
- Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - B Qaiser
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
| | - L Quaye
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - J A Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - V Richarte
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - R J Rose
- Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, USA
| | - J Shin
- The Hospital for Sick Children Research Institute, Toronto, Canada
| | - M C Stallings
- Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - A I Stiby
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - T L Wall
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M J Wright
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - H M Koot
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - T Paus
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
- Department of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
| | - J K Hewitt
- Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - M Ribasés
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
| | - J Kaprio
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - M P Boks
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - H Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - T Spector
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - M R Munafò
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- UK Centre for Tobacco and Alcohol Studies and School of Experimental Psychology, University of Bristol, Bristol, UK
| | - A Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - J Gelernter
- Department of Psychiatry, Genetics, and Neurobiology, Yale University School of Medicine and VA CT, West Haven, CT, USA
| | - D I Boomsma
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - W G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - N G Martin
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - E M Derks
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | - J M Vink
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
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14
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Clarke TK, Lupton MK, Fernandez-Pujals AM, Starr J, Davies G, Cox S, Pattie A, Liewald DC, Hall LS, MacIntyre DJ, Smith BH, Hocking LJ, Padmanabhan S, Thomson PA, Hayward C, Hansell NK, Montgomery GW, Medland SE, Martin NG, Wright MJ, Porteous DJ, Deary IJ, McIntosh AM. Common polygenic risk for autism spectrum disorder (ASD) is associated with cognitive ability in the general population. Mol Psychiatry 2016; 21:419-25. [PMID: 25754080 PMCID: PMC4759203 DOI: 10.1038/mp.2015.12] [Citation(s) in RCA: 109] [Impact Index Per Article: 13.6] [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: 04/23/2014] [Revised: 11/25/2014] [Accepted: 12/19/2014] [Indexed: 12/16/2022]
Abstract
Cognitive impairment is common among individuals diagnosed with autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD). It has been suggested that some aspects of intelligence are preserved or even superior in people with ASD compared with controls, but consistent evidence is lacking. Few studies have examined the genetic overlap between cognitive ability and ASD/ADHD. The aim of this study was to examine the polygenic overlap between ASD/ADHD and cognitive ability in individuals from the general population. Polygenic risk for ADHD and ASD was calculated from genome-wide association studies of ASD and ADHD conducted by the Psychiatric Genetics Consortium. Risk scores were created in three independent cohorts: Generation Scotland Scottish Family Health Study (GS:SFHS) (n=9863), the Lothian Birth Cohorts 1936 and 1921 (n=1522), and the Brisbane Adolescent Twin Sample (BATS) (n=921). We report that polygenic risk for ASD is positively correlated with general cognitive ability (beta=0.07, P=6 × 10(-7), r(2)=0.003), logical memory and verbal intelligence in GS:SFHS. This was replicated in BATS as a positive association with full-scale intelligent quotient (IQ) (beta=0.07, P=0.03, r(2)=0.005). We did not find consistent evidence that polygenic risk for ADHD was associated with cognitive function; however, a negative correlation with IQ at age 11 years (beta=-0.08, Z=-3.3, P=0.001) was observed in the Lothian Birth Cohorts. These findings are in individuals from the general population, suggesting that the relationship between genetic risk for ASD and intelligence is partly independent of clinical state. These data suggest that common genetic variation relevant for ASD influences general cognitive ability.
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Affiliation(s)
- T-K Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK,Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh EH10 5HF, UK. E-mail:
| | - M K Lupton
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - J Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - S Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - A Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - L S Hall
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - D J MacIntyre
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - B H Smith
- Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - L J Hocking
- Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - S Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - P A Thomson
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK,Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK,Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - C Hayward
- Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK,MRC Human Genetics, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, UK
| | - N K Hansell
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - G W Montgomery
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - S E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - M J Wright
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - D J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK,Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK,Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK,MRC Human Genetics, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, UK,Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK,Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK,Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK,MRC Human Genetics, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, UK,Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
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15
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Werner KB, McCutcheon VV, Challa M, Agrawal A, Lynskey MT, Conroy E, Statham DJ, Madden PAF, Henders AK, Todorov AA, Heath AC, Degenhardt L, Martin NG, Bucholz KK, Nelson EC. The association between childhood maltreatment, psychopathology, and adult sexual victimization in men and women: results from three independent samples. Psychol Med 2016; 46:563-573. [PMID: 26688007 PMCID: PMC4804459 DOI: 10.1017/s0033291715002056] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Childhood maltreatment (CM) has consistently been linked with adverse outcomes including substance use disorders and adult sexual revictimization. Adult sexual victimization itself has been linked with psychopathology but has predominately been studied in women. The current investigation examines the impact of CM and co-occurring psychopathology on adult sexual victimization in men and women, replicating findings in three distinct samples. METHOD We investigated the association between continuous CM factor scores and adult sexual victimization in the Childhood Trauma Study (CTS) sample (N = 2564). We also examined the unique relationship between childhood sexual abuse (CSA) and adult sexual victimization while adjusting for co-occurring substance dependence and psychopathology. We replicated these analyses in two additional samples: the Comorbidity and Trauma Study (CATS; N = 1981) and the Australian Twin-Family Study of Alcohol Use Disorders (OZ-ALC; N = 1537). RESULTS Analyses revealed a significant association with CM factor scores and adult sexual victimization for both men and women across all three samples. The CSA factor score was strongly associated with adult sexual victimization after adjusting for substance dependence and psychopathology; higher odds ratios were observed in men (than women) consistently across the three samples. CONCLUSIONS A continuous measure of CSA is independently associated with adult sexual trauma risk across samples in models that included commonly associated substance dependence and psychopathology as covariates. The strength of the association between this CSA measure and adult sexual victimization is higher in magnitude for men than women, pointing to the need for further investigation of sexual victimization in male community samples.
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Affiliation(s)
- K. B. Werner
- George Warren Brown School of Social Work, Washington University, St Louis, MO, USA
| | - V. V. McCutcheon
- Alcoholism Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - M. Challa
- University of Illinois–Chicago School of Medicine, Chicago, IL, USA
| | - A. Agrawal
- Alcoholism Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - M. T. Lynskey
- Institute of Psychiatry, Psychology & Neuroscience, King’s College, London, UK
| | - E. Conroy
- Centre for Health Research, University of Western Sydney, Sydney, Australia
| | - D. J. Statham
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - P. A. F. Madden
- Alcoholism Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - A. K. Henders
- National Drug and Alcohol Research Center, University of New South Wales, Sydney, Australia
| | - A. A. Todorov
- Alcoholism Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - A. C. Heath
- Alcoholism Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - L. Degenhardt
- National Drug and Alcohol Research Center, University of New South Wales, Sydney, Australia
| | - N. G. Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - K. K. Bucholz
- Alcoholism Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - E. C. Nelson
- Alcoholism Research Center, Washington University School of Medicine, St Louis, MO, USA
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16
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Lee S, Duffy DL, McClenahan P, Lee KJ, McEniery E, Burke B, Jagirdar K, Martin NG, Sturm RA, Soyer HP, Schaider H. Heritability of naevus patterns in an adult twin cohort from the Brisbane Twin Registry: a cross-sectional study. Br J Dermatol 2016; 174:356-63. [PMID: 26871925 DOI: 10.1111/bjd.14291] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/02/2015] [Indexed: 11/28/2022]
Abstract
BACKGROUND Heritability of naevi counts is widely acknowledged as a potential surveillance parameter for prevention purposes. The contribution of heritability to the changes seen in naevus number and morphology over time and their corresponding dermoscopic characteristics is unknown, but is important to understand in order to account for adequate prevention measures. OBJECTIVES To identify naevus characteristics that are strongly influenced by heritability. METHODS This cross-sectional study included 220 individuals [76 monozygotic (MZ), 144 dizygotic (DZ)], recruited from the Brisbane Twin Naevus Study. Participants received full body imaging and dermoscopy of naevi ≥ 5 mm in diameter. Dermoscopic type, total naevus count (TNC), change in TNC with age, and naevus distribution, size, colour and profile were compared between MZ and DZ twins. Heritability of these traits was assessed via Falconer's estimate. RESULTS Significant differences were found in comparing MZ and DZ twins for TNC, numbers of naevi 5·0-7·9 mm in diameter, counts of light-brown naevi, naevi on the back and sun-protected sites, and naevi with the 'nonspecific' dermoscopic pattern. CONCLUSIONS This study strongly supports a heritable component to TNC, as well as changes in TNC, and the number of medium-sized naevi, light-brown naevi, specific sites and certain dermoscopic features in adults. These characteristics should be taken into account by naevus surveillance programmes and further studied to identify candidate gene associations for clinical and dermoscopic patterns in conjunction with melanoma risk stratification.
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Affiliation(s)
- S Lee
- Dermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Australia
| | - D L Duffy
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - P McClenahan
- Dermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Australia
| | - K J Lee
- Dermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Australia
| | - E McEniery
- Dermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Australia
| | - B Burke
- Dermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Australia
| | - K Jagirdar
- Dermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Australia
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - R A Sturm
- Dermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Australia
| | - H P Soyer
- Dermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Australia.,Department of Dermatology, Princess Alexandra Hospital, Brisbane, Australia
| | - H Schaider
- Dermatology Research Centre, The University of Queensland, School of Medicine, Translational Research Institute, Brisbane, Australia
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17
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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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18
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Peyrot WJ, Lee SH, Milaneschi Y, Abdellaoui A, Byrne EM, Esko T, de Geus EJC, Hemani G, Hottenga JJ, Kloiber S, Levinson DF, Lucae S, Martin NG, Medland SE, Metspalu A, Milani L, Noethen MM, Potash JB, Rietschel M, Rietveld CA, Ripke S, Shi J, Willemsen G, Zhu Z, Boomsma DI, Wray NR, Penninx BWJH. The association between lower educational attainment and depression owing to shared genetic effects? Results in ~25,000 subjects. Mol Psychiatry 2015; 20:735-43. [PMID: 25917368 PMCID: PMC4610719 DOI: 10.1038/mp.2015.50] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [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: 11/27/2014] [Revised: 02/28/2015] [Accepted: 03/24/2015] [Indexed: 01/18/2023]
Abstract
An association between lower educational attainment (EA) and an increased risk for depression has been confirmed in various western countries. This study examines whether pleiotropic genetic effects contribute to this association. Therefore, data were analyzed from a total of 9662 major depressive disorder (MDD) cases and 14,949 controls (with no lifetime MDD diagnosis) from the Psychiatric Genomics Consortium with additional Dutch and Estonian data. The association of EA and MDD was assessed with logistic regression in 15,138 individuals indicating a significantly negative association in our sample with an odds ratio for MDD 0.78 (0.75-0.82) per standard deviation increase in EA. With data of 884,105 autosomal common single-nucleotide polymorphisms (SNPs), three methods were applied to test for pleiotropy between MDD and EA: (i) genetic profile risk scores (GPRS) derived from training data for EA (independent meta-analysis on ~120,000 subjects) and MDD (using a 10-fold leave-one-out procedure in the current sample), (ii) bivariate genomic-relationship-matrix restricted maximum likelihood (GREML) and (iii) SNP effect concordance analysis (SECA). With these methods, we found (i) that the EA-GPRS did not predict MDD status, and MDD-GPRS did not predict EA, (ii) a weak negative genetic correlation with bivariate GREML analyses, but this correlation was not consistently significant, (iii) no evidence for concordance of MDD and EA SNP effects with SECA analysis. To conclude, our study confirms an association of lower EA and MDD risk, but this association was not because of measurable pleiotropic genetic effects, which suggests that environmental factors could be involved, for example, socioeconomic status.
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Affiliation(s)
- WJ Peyrot
- Department of Psychiatry, VU University Medical Center & GGZ inGeest, Amsterdam, The Netherlands
| | - SH Lee
- The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia
| | - Y Milaneschi
- Department of Psychiatry, VU University Medical Center & GGZ inGeest, Amsterdam, The Netherlands
| | - A Abdellaoui
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - EM Byrne
- The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia
| | - T Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia,Division of Endocrinology and Center of Basic and Translational Obesity Research, Children’s Hospital Boston, Boston; Department of Genetics, Harvard Medical School, Boston; Broad Institute, Cambridge, USA
| | - EJC de Geus
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - G Hemani
- The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia,MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, School of Social and Community Medicine, Bristol, UK
| | - JJ Hottenga
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - S Kloiber
- Max Planck Institute of Psychiatry, Kraepelinstraße 2–10, 80804 Munich, Germany
| | - DF Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, USA
| | - S Lucae
- Max Planck Institute of Psychiatry, Kraepelinstraße 2–10, 80804 Munich, Germany
| | | | - NG Martin
- Genetic Epidemiology Unit, QIMR Berhgofer Institute of Medical Research, Brisbane, Queensland, Australia
| | - SE Medland
- Genetic Epidemiology Unit, QIMR Berhgofer Institute of Medical Research, Brisbane, Queensland, Australia
| | - A Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia,Division of Endocrinology and Center of Basic and Translational Obesity Research, Children’s Hospital Boston, Boston; Department of Genetics, Harvard Medical School, Boston; Broad Institute, Cambridge, USA
| | - L Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia,Division of Endocrinology and Center of Basic and Translational Obesity Research, Children’s Hospital Boston, Boston; Department of Genetics, Harvard Medical School, Boston; Broad Institute, Cambridge, USA
| | - MM Noethen
- Institute of Human Genetics, University of Bonn, Bonn, Germany D-53111
| | - JB Potash
- Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - CA Rietveld
- Erasmus School of Economics, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, the Netherlands,Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, the Netherlands
| | - S Ripke
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - J Shi
- Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | | | - G Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Z Zhu
- The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia
| | - DI Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - NR Wray
- The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia
| | - BWJH Penninx
- Department of Psychiatry, VU University Medical Center & GGZ inGeest, Amsterdam, The Netherlands
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19
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Delforterie MJ, Lynskey MT, Huizink AC, Creemers HE, Grant JD, Few LR, Glowinski AL, Statham DJ, Trull TJ, Bucholz KK, Madden PAF, Martin NG, Heath AC, Agrawal A. The relationship between cannabis involvement and suicidal thoughts and behaviors. Drug Alcohol Depend 2015; 150:98-104. [PMID: 25772435 PMCID: PMC4460828 DOI: 10.1016/j.drugalcdep.2015.02.019] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Revised: 02/05/2015] [Accepted: 02/14/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND In the present study, we examined the relationship between cannabis involvement and suicidal ideation (SI), plan and attempt, differentiating the latter into planned and unplanned attempt, taking into account other substance involvement and psychopathology. METHODS We used two community-based twin samples from the Australian Twin Registry, including 9583 individuals (58.5% female, aged between 27 and 40). The Semi-Structured Assessment of the Genetics of Alcoholism (SSAGA) was used to assess cannabis involvement which was categorized into: (0) no cannabis use (reference category); (1) cannabis use only; (2) 1-2 cannabis use disorder symptoms; (3) 3 or more symptoms. Separate multinomial logistic regression analyses were conducted for SI and suicide attempt with or without a plan. Twin analyses examined the genetic overlap between cannabis involvement and SI. RESULTS All levels of cannabis involvement were related to SI, regardless of duration (odds ratios [ORs]=1.28-2.00, p<0.01). Cannabis use and endorsing ≥3 symptoms were associated with unplanned (SANP; ORs=1.95 and 2.51 respectively, p<0.05), but not planned suicide attempts (p>0.10). Associations persisted even after controlling for other psychiatric disorders and substance involvement. Overlapping genetic (rG=0.45) and environmental (rE=0.21) factors were responsible for the covariance between cannabis involvement and SI. CONCLUSIONS Cannabis involvement is associated, albeit modestly, with SI and unplanned suicide attempts. Such attempts are difficult to prevent and their association with cannabis use and cannabis use disorder symptoms requires further study, including in different samples and with additional attention to confounders.
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Affiliation(s)
- M J Delforterie
- VU University, Department of Developmental Psychology and EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
| | - M T Lynskey
- Addictions Department, Institute of Psychiatry, King's College London, United Kingdom
| | - A C Huizink
- VU University, Department of Developmental Psychology and EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
| | - H E Creemers
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
| | - J D Grant
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - L R Few
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - A L Glowinski
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - D J Statham
- School of Social Sciences, University of the Sunshine Coast, Queensland, Australia
| | - T J Trull
- University of Missouri, Department of Psychological Sciences, Columbia, MO, USA
| | - K K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - P A F Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - A C Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - A Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
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20
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Zhan L, Jahanshad N, Faskowitz J, Zhu D, Prasad G, Martin NG, de Zubicaray GI, McMahon KL, Wright MJ, Thompson PM. HERITABILITY OF BRAIN NETWORK TOPOLOGY IN 853 TWINS AND SIBLINGS. Proc IEEE Int Symp Biomed Imaging 2015; 2015:449-453. [PMID: 26413204 PMCID: PMC4578220 DOI: 10.1109/isbi.2015.7163908] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Anatomical brain networks change throughout life and with diseases. Genetic analysis of these networks may help identify processes giving rise to heritable brain disorders, but we do not yet know which network measures are promising for genetic analyses. Many factors affect the downstream results, such as the tractography algorithm used to define structural connectivity. We tested nine different tractography algorithms and four normalization methods to compute brain networks for 853 young healthy adults (twins and their siblings). We fitted genetic structural equation models to all nine network measures, after a normalization step to increase network consistency across tractography algorithms. Probabilistic tractography algorithms with global optimization (such as Probtrackx and Hough) yielded higher heritability statistics than "greedy" algorithms (such as FACT) which process small neighborhoods at each step. Some global network measures (probtrackx-derived GLOB and ST) showed significant genetic effects, making them attractive targets for genome-wide association studies.
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Affiliation(s)
- L Zhan
- Dept. of Neurology, University of California, Los Angeles, CA 90095, USA ; Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - N Jahanshad
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - J Faskowitz
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - D Zhu
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - G Prasad
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - G I de Zubicaray
- School of Psychology, University of Queensland, Brisbane, QLD 4072, Australia
| | - K L McMahon
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - M J Wright
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - P M Thompson
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA
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21
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Power RA, Verweij KJH, Zuhair M, Montgomery GW, Henders AK, Heath AC, Madden PAF, Medland SE, Wray NR, Martin NG. Genetic predisposition to schizophrenia associated with increased use of cannabis. Mol Psychiatry 2014; 19:1201-4. [PMID: 24957864 PMCID: PMC4382963 DOI: 10.1038/mp.2014.51] [Citation(s) in RCA: 117] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Revised: 03/18/2014] [Accepted: 04/22/2014] [Indexed: 12/16/2022]
Abstract
Cannabis is the most commonly used illicit drug worldwide. With debate surrounding the legalization and control of use, investigating its health risks has become a pressing area of research. One established association is that between cannabis use and schizophrenia, a debilitating psychiatric disorder affecting ~1% of the population over their lifetime. Although considerable evidence implicates cannabis use as a component cause of schizophrenia, it remains unclear whether this is entirely due to cannabis directly raising risk of psychosis, or whether the same genes that increases psychosis risk may also increase risk of cannabis use. In a sample of 2082 healthy individuals, we show an association between an individual's burden of schizophrenia risk alleles and use of cannabis. This was significant both for comparing those who have ever versus never used cannabis (P=2.6 × 10(-4)), and for quantity of use within users (P=3.0 × 10(-3)). Although directly predicting only a small amount of the variance in cannabis use, these findings suggest that part of the association between schizophrenia and cannabis is due to a shared genetic aetiology. This form of gene-environment correlation is an important consideration when calculating the impact of environmental risk factors, including cannabis use.
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Affiliation(s)
- R A Power
- 1] MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK [2] Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - K J H Verweij
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - M Zuhair
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - G W Montgomery
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - A K Henders
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - A C Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - P A F Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - S E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N R Wray
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
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22
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Rentería ME, Hansell NK, Strike LT, McMahon KL, de Zubicaray GI, Hickie IB, Thompson PM, Martin NG, Medland SE, Wright MJ. Genetic architecture of subcortical brain regions: common and region-specific genetic contributions. Genes Brain Behav 2014; 13:821-30. [PMID: 25199620 DOI: 10.1111/gbb.12177] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Revised: 09/01/2014] [Accepted: 09/07/2014] [Indexed: 11/27/2022]
Abstract
Understanding the aetiology of patterns of variation within and covariation across brain regions is key to advancing our understanding of the functional, anatomical and developmental networks of the brain. Here we applied multivariate twin modelling and principal component analysis (PCA) to investigate the genetic architecture of the size of seven subcortical regions (caudate nucleus, thalamus, putamen, pallidum, hippocampus, amygdala and nucleus accumbens) in a genetically informative sample of adolescents and young adults (N = 1038; mean age = 21.6 ± 3.2 years; including 148 monozygotic and 202 dizygotic twin pairs) from the Queensland Twin IMaging (QTIM) study. Our multivariate twin modelling identified a common genetic factor that accounts for all the heritability of intracranial volume (0.88) and a substantial proportion of the heritability of all subcortical structures, particularly those of the thalamus (0.71 out of 0.88), pallidum (0.52 out of 0.75) and putamen (0.43 out of 0.89). In addition, we also found substantial region-specific genetic contributions to the heritability of the hippocampus (0.39 out of 0.79), caudate nucleus (0.46 out of 0.78), amygdala (0.25 out of 0.45) and nucleus accumbens (0.28 out of 0.52). This provides further insight into the extent and organization of subcortical genetic architecture, which includes developmental and general growth pathways, as well as the functional specialization and maturation trajectories that influence each subcortical region.
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Affiliation(s)
- M E Rentería
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia; School of Psychology, University of Queensland, St Lucia, QLD, Australia
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23
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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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24
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Benyamin B, Pourcain BS, Davis OS, Davies G, Hansell NK, Brion MJA, Kirkpatrick RM, Cents RAM, Franić S, Miller MB, Haworth CMA, Meaburn E, Price TS, Evans DM, Timpson N, Kemp J, Ring S, McArdle W, Medland SE, Yang J, Harris SE, Liewald DC, Scheet P, Xiao X, Hudziak JJ, de Geus EJC, Jaddoe VWV, Starr JM, Verhulst FC, Pennell C, Tiemeier H, Iacono WG, Palmer LJ, Montgomery GW, Martin NG, Boomsma DI, Posthuma D, McGue M, Wright MJ, Smith GD, Deary IJ, Plomin R, Visscher PM. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Mol Psychiatry 2014; 19:253-8. [PMID: 23358156 PMCID: PMC3935975 DOI: 10.1038/mp.2012.184] [Citation(s) in RCA: 167] [Impact Index Per Article: 16.7] [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: 05/25/2012] [Revised: 10/28/2012] [Accepted: 11/12/2012] [Indexed: 01/11/2023]
Abstract
Intelligence in childhood, as measured by psychometric cognitive tests, is a strong predictor of many important life outcomes, including educational attainment, income, health and lifespan. Results from twin, family and adoption studies are consistent with general intelligence being highly heritable and genetically stable throughout the life course. No robustly associated genetic loci or variants for childhood intelligence have been reported. Here, we report the first genome-wide association study (GWAS) on childhood intelligence (age range 6-18 years) from 17,989 individuals in six discovery and three replication samples. Although no individual single-nucleotide polymorphisms (SNPs) were detected with genome-wide significance, we show that the aggregate effects of common SNPs explain 22-46% of phenotypic variation in childhood intelligence in the three largest cohorts (P=3.9 × 10(-15), 0.014 and 0.028). FNBP1L, previously reported to be the most significantly associated gene for adult intelligence, was also significantly associated with childhood intelligence (P=0.003). Polygenic prediction analyses resulted in a significant correlation between predictor and outcome in all replication cohorts. The proportion of childhood intelligence explained by the predictor reached 1.2% (P=6 × 10(-5)), 3.5% (P=10(-3)) and 0.5% (P=6 × 10(-5)) in three independent validation cohorts. Given the sample sizes, these genetic prediction results are consistent with expectations if the genetic architecture of childhood intelligence is like that of body mass index or height. Our study provides molecular support for the heritability and polygenic nature of childhood intelligence. Larger sample sizes will be required to detect individual variants with genome-wide significance.
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Affiliation(s)
- B Benyamin
- The University of Queensland, Queensland Brain Institute, St Lucia, Queensland, Australia
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - BSt Pourcain
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - OS Davis
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK
| | - G Davies
- Department of Psychology, University of Edinburgh, Edinburgh, Scotland, UK
| | - NK Hansell
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - M-JA Brion
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
- School of Women's and Infants' Health, The University of Western Australia, Perth, Western Australia, Australia
| | - RM Kirkpatrick
- Department of Psychology, University of Minnesota, St Paul, MN, USA
| | - RAM Cents
- The Generation R Study Group, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - S Franić
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - MB Miller
- Department of Psychology, University of Minnesota, St Paul, MN, USA
| | - CMA Haworth
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK
| | - E Meaburn
- Department of Psychology, Birkbeck University of London, London, UK
| | - TS Price
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK
| | - DM Evans
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - N Timpson
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - J Kemp
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - S Ring
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - W McArdle
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - SE Medland
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - J Yang
- The University of Queensland Diamantina Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - SE Harris
- Molecular Medicine Centre, Institute for Genetics and Molecular Medicine Centre, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - DC Liewald
- Department of Psychology, University of Edinburgh, Edinburgh, Scotland, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - P Scheet
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - X Xiao
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - JJ Hudziak
- Department of Psychiatry, College of Medicine, University of Vermont, Burlington, VT, USA
| | - EJC de Geus
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - VWV Jaddoe
- The Generation R Study Group, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - JM Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, Department of Psychology, University of Edinburgh, Edinburgh, Scotland, UK
| | - FC Verhulst
- Department of Child and Adolescent Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - C Pennell
- School of Women's and Infants' Health, The University of Western Australia, Perth, Western Australia, Australia
| | - H Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - WG Iacono
- Department of Psychology, University of Minnesota, St Paul, MN, USA
| | - LJ Palmer
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research, University of Toronto, Toronto, Ontario, Canada
- Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - GW Montgomery
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - NG Martin
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - DI Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - D Posthuma
- Department of Child and Adolescent Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), Neuroscience Campus Amsterdam (NCA), VU University Amsterdam and VU Medical Centre, Amsterdam, The Netherlands
- Department of Clinical Genetics, Section Medical Genomics, VU Medical Centre, Amsterdam, The Netherlands
| | - M McGue
- Department of Psychology, University of Minnesota, St Paul, MN, USA
- Department of Epidemiology, University of Southern Denmark, Odense, Denmark
| | - MJ Wright
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - G Davey Smith
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - IJ Deary
- Department of Psychology, University of Edinburgh, Edinburgh, Scotland, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - R Plomin
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK
| | - PM Visscher
- The University of Queensland, Queensland Brain Institute, St Lucia, Queensland, Australia
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
- The University of Queensland Diamantina Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
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25
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Hill WD, Davies G, van de Lagemaat LN, Christoforou A, Marioni RE, Fernandes CPD, Liewald DC, Croning MDR, Payton A, Craig LCA, Whalley LJ, Horan M, Ollier W, Hansell NK, Wright MJ, Martin NG, Montgomery GW, Steen VM, Le Hellard S, Espeseth T, Lundervold AJ, Reinvang I, Starr JM, Pendleton N, Grant SGN, Bates TC, Deary IJ. Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins. Transl Psychiatry 2014; 4:e341. [PMID: 24399044 PMCID: PMC3905224 DOI: 10.1038/tp.2013.114] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2013] [Revised: 09/12/2013] [Accepted: 10/21/2013] [Indexed: 12/11/2022] Open
Abstract
Differences in general cognitive ability (intelligence) account for approximately half of the variation in any large battery of cognitive tests and are predictive of important life events including health. Genome-wide analyses of common single-nucleotide polymorphisms indicate that they jointly tag between a quarter and a half of the variance in intelligence. However, no single polymorphism has been reliably associated with variation in intelligence. It remains possible that these many small effects might be aggregated in networks of functionally linked genes. Here, we tested a network of 1461 genes in the postsynaptic density and associated complexes for an enriched association with intelligence. These were ascertained in 3511 individuals (the Cognitive Ageing Genetics in England and Scotland (CAGES) consortium) phenotyped for general cognitive ability, fluid cognitive ability, crystallised cognitive ability, memory and speed of processing. By analysing the results of a genome wide association study (GWAS) using Gene Set Enrichment Analysis, a significant enrichment was found for fluid cognitive ability for the proteins found in the complexes of N-methyl-D-aspartate receptor complex; P=0.002. Replication was sought in two additional cohorts (N=670 and 2062). A meta-analytic P-value of 0.003 was found when these were combined with the CAGES consortium. The results suggest that genetic variation in the macromolecular machines formed by membrane-associated guanylate kinase (MAGUK) scaffold proteins and their interaction partners contributes to variation in intelligence.
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Affiliation(s)
- W D Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, The University of Edinburgh Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital Edinburgh, Edinburgh, UK
| | - L N van de Lagemaat
- Genes to Cognition Programme, Centre for Clinical Brain Sciences and Centre for Neuroregeneration The University of Edinburgh, Edinburgh, UK
| | - A Christoforou
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway,Dr E. Martens Research Group for Biological Psychiatry, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - R E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, The University of Edinburgh Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital Edinburgh, Edinburgh, UK,Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - C P D Fernandes
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway,Dr E. Martens Research Group for Biological Psychiatry, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - M D R Croning
- Genes to Cognition Programme, Centre for Clinical Brain Sciences and Centre for Neuroregeneration The University of Edinburgh, Edinburgh, UK
| | - A Payton
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK
| | - L C A Craig
- Public Health Nutrition Research Group Section of Population Health, University of Aberdeen, Aberdeen, UK
| | - L J Whalley
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - M Horan
- Centre for Clinical and Cognitive Neurosciences, Institute Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - W Ollier
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK
| | - N K Hansell
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - M J Wright
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - N G Martin
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - G W Montgomery
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - V M Steen
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway,Dr E. Martens Research Group for Biological Psychiatry, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - S Le Hellard
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway,Dr E. Martens Research Group for Biological Psychiatry, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - T Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway,KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - A J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway,Kavli Research Centre for Aging and Dementia, Haraldplass Hospital, Bergen, Norway
| | - I Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - J M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - N Pendleton
- Centre for Clinical and Cognitive Neurosciences, Institute Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - S G N Grant
- Genes to Cognition Programme, Centre for Clinical Brain Sciences and Centre for Neuroregeneration The University of Edinburgh, Edinburgh, UK
| | - T C Bates
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK. E-mail:
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26
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Abstract
BACKGROUND Various studies support the inclusion of cannabis withdrawal in the diagnosis of cannabis use disorder (CUD) in the upcoming DSM-5. The aims of the current study were to (1) estimate the prevalence of DSM-5 cannabis withdrawal (criterion B), (2) estimate the role of genetic and environmental influences on individual differences in cannabis withdrawal and (3) determine the extent to which genetic and environmental influences on cannabis withdrawal overlap with those on DSM-IV-defined abuse/dependence. METHOD The sample included 2276 lifetime cannabis-using adult Australian twins. Cannabis withdrawal was defined in accordance with criterion B of the proposed DSM-5 revisions. Cannabis abuse/dependence was defined as endorsing one or more DSM-IV criteria of abuse or three or more dependence criteria. The classical twin model was used to estimate the genetic and environmental influences on variation in cannabis withdrawal, along with its covariation with abuse/dependence. RESULTS Of all the cannabis users, 11.9% met criteria for cannabis withdrawal. Around 50% of between-individual variation in withdrawal could be attributed to additive genetic variation, and the rest of the variation was mostly due to non-shared environmental influences. Importantly, the genetic influences on cannabis withdrawal almost completely (99%) overlapped with those on abuse/dependence. CONCLUSIONS We have shown that cannabis withdrawal symptoms exist among cannabis users, and that cannabis withdrawal is moderately heritable. Genetic influences on cannabis withdrawal are the same as those affecting abuse/dependence. These results add to the wealth of literature that recommends the addition of cannabis withdrawal to the diagnosis of DSM-5 CUD.
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Affiliation(s)
- K J H Verweij
- Department of Developmental Psychology, VU University, Amsterdam, The Netherlands
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27
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Luciano M, Evans DM, Hansell NK, Medland SE, Montgomery GW, Martin NG, Wright MJ, Bates TC. A genome-wide association study for reading and language abilities in two population cohorts. Genes Brain Behav 2013; 12:645-52. [PMID: 23738518 PMCID: PMC3908370 DOI: 10.1111/gbb.12053] [Citation(s) in RCA: 82] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2012] [Revised: 03/04/2013] [Accepted: 05/24/2013] [Indexed: 01/21/2023]
Abstract
Candidate genes have been identified for both reading and language, but most of the heritable variance in these traits remains unexplained. Here, we report a genome-wide association meta-analysis of two large cohorts: population samples of Australian twins and siblings aged 12–25 years (n = 1177 from 538 families), and a younger cohort of children of the UK Avon Longitudinal Study of Parents and their Children (aged 8 and 9 years; maximum n = 5472). Suggestive association was indicated for reading measures and non-word repetition (NWR), with the greatest support found for single nucleotide polymorphisms (SNPs) in the pseudogene, ABCC13 (P = 7.34 × 10−8), and the gene, DAZAP1 (P = 1.32 × 10−6). Gene-based analyses showed significant association (P < 2.8 × 10−6) for reading and spelling with genes CD2L1, CDC2L2 and RCAN3 in two loci on chromosome 1. Some support was found for the same SNPs having effects on both reading skill and NWR, which is compatible with behavior genetic evidence for influences of reading acquisition on phonological-task performance. The results implicate novel candidates for study in additional cohorts for reading and language abilities.
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Affiliation(s)
- M Luciano
- Centre for Cognitive Aging and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK.
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28
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Amin N, Byrne E, Johnson J, Chenevix-Trench G, Walter S, Nolte IM, Vink JM, Rawal R, Mangino M, Teumer A, Keers JC, Verwoert G, Baumeister S, Biffar R, Petersmann A, Dahmen N, Doering A, Isaacs A, Broer L, Wray NR, Montgomery GW, Levy D, Psaty BM, Gudnason V, Chakravarti A, Sulem P, Gudbjartsson DF, Kiemeney LA, Thorsteinsdottir U, Stefansson K, van Rooij FJA, Aulchenko YS, Hottenga JJ, Rivadeneira FR, Hofman A, Uitterlinden AG, Hammond CJ, Shin SY, Ikram A, Witteman JCM, Janssens ACJW, Snieder H, Tiemeier H, Wolfenbuttel BHR, Oostra BA, Heath AC, Wichmann E, Spector TD, Grabe HJ, Boomsma DI, Martin NG, van Duijn CM. Genome-wide association analysis of coffee drinking suggests association with CYP1A1/CYP1A2 and NRCAM. Mol Psychiatry 2012; 17:1116-29. [PMID: 21876539 PMCID: PMC3482684 DOI: 10.1038/mp.2011.101] [Citation(s) in RCA: 91] [Impact Index Per Article: 7.6] [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] [Indexed: 12/18/2022]
Abstract
Coffee consumption is a model for addictive behavior. We performed a meta-analysis of genome-wide association studies (GWASs) on coffee intake from 8 Caucasian cohorts (N=18 176) and sought replication of our top findings in a further 7929 individuals. We also performed a gene expression analysis treating different cell lines with caffeine. Genome-wide significant association was observed for two single-nucleotide polymorphisms (SNPs) in the 15q24 region. The two SNPs rs2470893 and rs2472297 (P-values=1.6 × 10(-11) and 2.7 × 10(-11)), which were also in strong linkage disequilibrium (r(2)=0.7) with each other, lie in the 23-kb long commonly shared 5' flanking region between CYP1A1 and CYP1A2 genes. CYP1A1 was found to be downregulated in lymphoblastoid cell lines treated with caffeine. CYP1A1 is known to metabolize polycyclic aromatic hydrocarbons, which are important constituents of coffee, whereas CYP1A2 is involved in the primary metabolism of caffeine. Significant evidence of association was also detected at rs382140 (P-value=3.9 × 10(-09)) near NRCAM-a gene implicated in vulnerability to addiction, and at another independent hit rs6495122 (P-value=7.1 × 10(-09))-an SNP associated with blood pressure-in the 15q24 region near the gene ULK3, in the meta-analysis of discovery and replication cohorts. Our results from GWASs and expression analysis also strongly implicate CAB39L in coffee drinking. Pathway analysis of differentially expressed genes revealed significantly enriched ubiquitin proteasome (P-value=2.2 × 10(-05)) and Parkinson's disease pathways (P-value=3.6 × 10(-05)).
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Affiliation(s)
- N Amin
- Unit of Genetic Epidemiology, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - E Byrne
- Department of Genetics, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - J Johnson
- Department of Genetics, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - G Chenevix-Trench
- Department of Genetics, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - S Walter
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - I M Nolte
- Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | - J M Vink
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - R Rawal
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - M Mangino
- Department of Twin Research and Genetic Epidemiology, St Thomas' Hospital Campus, King's College London, London, UK
| | - A Teumer
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University of Greifswald, Greifswald, Germany
| | - J C Keers
- LifeLines Cohort Study and Biobank, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - G Verwoert
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S Baumeister
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - R Biffar
- Department of Prosthodontics, Gerodontology and Dental Materials, Center of Oral Health, University of Greifswald, Greifswald, Germany
| | - A Petersmann
- Institute of Clinical Chemistry and Laboratory Medicine, University of Greifswald, Greifswald, Germany
| | - N Dahmen
- Department of Psychiatry, University of Mainz, Mainz, Germany
| | - A Doering
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - A Isaacs
- Unit of Genetic Epidemiology, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - L Broer
- Unit of Genetic Epidemiology, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - N R Wray
- Department of Genetics, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - G W Montgomery
- Department of Genetics, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - D Levy
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA,Center for Population Studies, NHLBI, Bethesda, MD, USA
| | - B M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA,Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland,University of Iceland, Reykjavik, Iceland
| | - A Chakravarti
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA,Department of Epidemiology and Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - P Sulem
- deCODE Genetics, Reykjavik, Iceland
| | | | - L A Kiemeney
- Department of Urology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands,Department of Endocrinology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands,Comprehensive Cancer Center East, BG Nijmegen, The Netherlands
| | - U Thorsteinsdottir
- deCODE Genetics, Reykjavik, Iceland,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - K Stefansson
- deCODE Genetics, Reykjavik, Iceland,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - F J A van Rooij
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Y S Aulchenko
- Unit of Genetic Epidemiology, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - J J Hottenga
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - F R Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - C J Hammond
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, UK
| | - S-Y Shin
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, UK
| | - A Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - J C M Witteman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A C J W Janssens
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - H Snieder
- Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,LifeLines Cohort Study and Biobank, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - B H R Wolfenbuttel
- LifeLines Cohort Study and Biobank, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - B A Oostra
- Unit of Genetic Epidemiology, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A C Heath
- Department of Psychiatry, Washington University, St Louis, MI, USA
| | - E Wichmann
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany,Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - T D Spector
- Department of Twin Research and Genetic Epidemiology, St Thomas' Hospital Campus, King's College London, London, UK
| | - H J Grabe
- Department of Psychiatry and Psychotherapy, University of Greifswald, Stralsund, Germany
| | - D I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - N G Martin
- Department of Genetics, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - C M van Duijn
- Unit of Genetic Epidemiology, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Centre of Medical Systems Biology, Netherlands Consortium on Healthy Aging, Leiden and National Genomics Initiative, The Hague, The Netherlands,Department of Epidemiology, Erasmus Medical Center Rotterdam, Dr Molewaterplein 50, 3015 GE, Rotterdam, The Netherlands. E-mail:
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McCutcheon VV, Grant JD, Heath AC, Bucholz KK, Sartor CE, Nelson EC, Madden PAF, Martin NG. Environmental influences predominate in remission from alcohol use disorder in young adult twins. Psychol Med 2012; 42:2421-2431. [PMID: 22423619 PMCID: PMC3752317 DOI: 10.1017/s003329171200044x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [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] [Indexed: 11/07/2022]
Abstract
BACKGROUND Familial influences on remission from alcohol use disorder (AUD) have been studied using family history of AUD rather than family history of remission. The current study used a remission phenotype in a twin sample to examine the relative contributions of genetic and environmental influences to remission. METHOD The sample comprised 6183 twins with an average age of 30 years from the Australian Twin Registry. Lifetime history of alcohol abuse and dependence symptoms and symptom recency were assessed with a structured telephone interview. AUD was defined broadly and narrowly as history of two or more or three or more abuse or dependence symptoms. Remission was defined as absence of symptoms at time of interview among individuals with lifetime AUD. Standard bivariate genetic analyses were conducted to derive estimates of genetic and environmental influences on AUD and remission. RESULTS Environmental influences alone accounted for remission in males and for 89% of influences on remission in females, with 11% due to genetic influences shared with AUD, which decreased the likelihood of remission. For women, more than 80% of influences on remission were distinct from influences on AUD, and environmental influences were from individual experiences only. For men, just over 50% of influences on remission were distinct from those on AUD, and the influence of environments shared with the co-twin were substantial. The results for the broad and narrow phenotypes were similar. CONCLUSIONS The current study establishes young adult remission as a phenotype distinct from AUD and highlights the importance of environmental influences on remission.
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Affiliation(s)
- V. V. McCutcheon
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - J. D. Grant
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - A. C. Heath
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - K. K. Bucholz
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - C. E. Sartor
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - E. C. Nelson
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - P. A. F. Madden
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - N. G. Martin
- Department of Epidemiology and Public Health, Queensland Institute for Medical Research, Brisbane, Australia
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Lee PH, Perlis RH, Jung JY, Byrne EM, Rueckert E, Siburian R, Haddad S, Mayerfeld CE, Heath AC, Pergadia ML, Madden PAF, Boomsma DI, Penninx BW, Sklar P, Martin NG, Wray NR, Purcell SM, Smoller JW. Multi-locus genome-wide association analysis supports the role of glutamatergic synaptic transmission in the etiology of major depressive disorder. Transl Psychiatry 2012; 2:e184. [PMID: 23149448 PMCID: PMC3565768 DOI: 10.1038/tp.2012.95] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [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] [Indexed: 12/20/2022] Open
Abstract
Major depressive disorder (MDD) is a common psychiatric illness characterized by low mood and loss of interest in pleasurable activities. Despite years of effort, recent genome-wide association studies (GWAS) have identified few susceptibility variants or genes that are robustly associated with MDD. Standard single-SNP (single nucleotide polymorphism)-based GWAS analysis typically has limited power to deal with the extensive heterogeneity and substantial polygenic contribution of individually weak genetic effects underlying the pathogenesis of MDD. Here, we report an alternative, gene-set-based association analysis of MDD in an effort to identify groups of biologically related genetic variants that are involved in the same molecular function or cellular processes and exhibit a significant level of aggregated association with MDD. In particular, we used a text-mining-based data analysis to prioritize candidate gene sets implicated in MDD and conducted a multi-locus association analysis to look for enriched signals of nominally associated MDD susceptibility loci within each of the gene sets. Our primary analysis is based on the meta-analysis of three large MDD GWAS data sets (total N=4346 cases and 4430 controls). After correction for multiple testing, we found that genes involved in glutamatergic synaptic neurotransmission were significantly associated with MDD (set-based association P=6.9 × 10(-4)). This result is consistent with previous studies that support a role of the glutamatergic system in synaptic plasticity and MDD and support the potential utility of targeting glutamatergic neurotransmission in the treatment of MDD.
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Affiliation(s)
- P H Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - R H Perlis
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Psychiatric Genetics Program in Mood and Anxiety Disorders, Massachusetts General Hospital, Boston, MA, USA
| | - J-Y Jung
- Center for Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - E M Byrne
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia,University of Queensland, Brisbane St Lucia, QLD, Australia
| | - E Rueckert
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - R Siburian
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - S Haddad
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - C E Mayerfeld
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - A C Heath
- Department of Psychiatry, Washington University, St Louis, Missouri, MO, USA
| | - M L Pergadia
- Department of Psychiatry, Washington University, St Louis, Missouri, MO, USA
| | - P A F Madden
- Department of Psychiatry, Washington University, St Louis, Missouri, MO, USA
| | - D I Boomsma
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - B W Penninx
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - P Sklar
- Division of Psychiatric Genomics, Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, USA
| | - N G Martin
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - N R Wray
- University of Queensland, Brisbane St Lucia, QLD, Australia
| | - S M Purcell
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Division of Psychiatric Genomics, Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, USA
| | - J W Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Psychiatric Genetics Program in Mood and Anxiety Disorders, Massachusetts General Hospital, Boston, MA, USA,Center for Human Genetic Research, Massachusetts General Hospital, Simches Research Building, 185 Cambridge Street, Boston, MA 02114, USA.
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31
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Agrawal A, Verweij KJH, Gillespie NA, Heath AC, Lessov-Schlaggar CN, Martin NG, Nelson EC, Slutske WS, Whitfield JB, Lynskey MT. The genetics of addiction-a translational perspective. Transl Psychiatry 2012; 2:e140. [PMID: 22806211 PMCID: PMC3410620 DOI: 10.1038/tp.2012.54] [Citation(s) in RCA: 119] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2012] [Accepted: 05/30/2012] [Indexed: 12/16/2022] Open
Abstract
Addictions are serious and common psychiatric disorders, and are among the leading contributors to preventable death. This selective review outlines and highlights the need for a multi-method translational approach to genetic studies of these important conditions, including both licit (alcohol, nicotine) and illicit (cannabis, cocaine, opiates) drug addictions and the behavioral addiction of disordered gambling. First, we review existing knowledge from twin studies that indicates both the substantial heritability of substance-specific addictions and the genetic overlap across addiction to different substances. Next, we discuss the limited number of candidate genes which have shown consistent replication, and the implications of emerging genomewide association findings for the genetic architecture of addictions. Finally, we review the utility of extensions to existing methods such as novel phenotyping, including the use of endophenotypes, biomarkers and neuroimaging outcomes; emerging methods for identifying alternative sources of genetic variation and accompanying statistical methodologies to interpret them; the role of gene-environment interplay; and importantly, the potential role of genetic variation in suggesting new alternatives for treatment of addictions.
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Affiliation(s)
- A Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110, USA.
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32
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Hansell NK, Wright MJ, Medland SE, Davenport TA, Wray NR, Martin NG, Hickie IB. Genetic co-morbidity between neuroticism, anxiety/depression and somatic distress in a population sample of adolescent and young adult twins. Psychol Med 2012; 42:1249-1260. [PMID: 22051348 DOI: 10.1017/s0033291711002431] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [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: 11/07/2022]
Abstract
BACKGROUND Genetic studies in adults indicate that genes influencing the personality trait of neuroticism account for substantial genetic variance in anxiety and depression and in somatic health. Here, we examine for the first time the factors underlying the relationship between neuroticism and anxiety/depressive and somatic symptoms during adolescence. METHOD The Somatic and Psychological Health Report (SPHERE) assessed symptoms of anxiety/depression (PSYCH-14) and somatic distress (SOMA-10) in 2459 adolescent and young adult twins [1168 complete pairs (35.4% monozygotic, 53% female)] aged 12-25 years (mean=15.5 ± 2.9). Differences between boys and girls across adolescence were explored for neuroticism, SPHERE-34, and the subscales PSYCH-14 and SOMA-10. Trivariate analyses partitioned sources of covariance in neuroticism, PSYCH-14 and SOMA-10. RESULTS Girls scored higher than boys on both neuroticism and SPHERE, with SPHERE scores for girls increasing slightly over time, whereas scores for boys decreased or were unchanged. Neuroticism and SPHERE scores were strongly influenced by genetic factors [heritability (h(2)) = 40-52%]. A common genetic source influenced neuroticism, PSYCH-14 and SOMA-10 (impacting PSYCH-14 more than SOMA-10). A further genetic source, independent of neuroticism, accounted for covariation specific to PSYCH-14 and SOMA-10. Environmental influences were largely specific to each measure. CONCLUSIONS In adolescence, genetic risk factors indexed by neuroticism contribute substantially to anxiety/depression and, to a lesser extent, perceived somatic health. Additional genetic covariation between anxiety/depressive and somatic symptoms, independent of neuroticism, had greatest influence on somatic distress, where it was equal in influence to the factor shared with neuroticism.
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Affiliation(s)
- N K Hansell
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia
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33
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Service SK, Verweij KJH, Lahti J, Congdon E, Ekelund J, Hintsanen M, Räikkönen K, Lehtimäki T, Kähönen M, Widen E, Taanila A, Veijola J, Heath AC, Madden PAF, Montgomery GW, Sabatti C, Järvelin MR, Palotie A, Raitakari O, Viikari J, Martin NG, Eriksson JG, Keltikangas-Järvinen L, Wray NR, Freimer NB. A genome-wide meta-analysis of association studies of Cloninger's Temperament Scales. Transl Psychiatry 2012; 2:e116. [PMID: 22832960 PMCID: PMC3365256 DOI: 10.1038/tp.2012.37] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [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] [Indexed: 12/20/2022] Open
Abstract
Temperament has a strongly heritable component, yet multiple independent genome-wide studies have failed to identify significant genetic associations. We have assembled the largest sample to date of persons with genome-wide genotype data, who have been assessed with Cloninger's Temperament and Character Inventory. Sum scores for novelty seeking, harm avoidance, reward dependence and persistence have been measured in over 11,000 persons collected in four different cohorts. Our study had >80% power to identify genome-wide significant loci (P<1.25 × 10(-8), with correction for testing four scales) accounting for ≥0.4% of the phenotypic variance in temperament scales. Using meta-analysis techniques, gene-based tests and pathway analysis we have tested over 1.2 million single-nucleotide polymorphisms (SNPs) for association to each of the four temperament dimensions. We did not discover any SNPs, genes, or pathways to be significantly related to the four temperament dimensions, after correcting for multiple testing. Less than 1% of the variability in any temperament dimension appears to be accounted for by a risk score derived from the SNPs showing strongest association to the temperament dimensions. Elucidation of genetic loci significantly influencing temperament and personality will require potentially very large samples, and/or a more refined phenotype. Item response theory methodology may be a way to incorporate data from cohorts assessed with multiple personality instruments, and might be a method by which a large sample of a more refined phenotype could be acquired.
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Affiliation(s)
- S K Service
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
| | - K J H Verweij
- Genetic Epidemiology, Molecular Epidemiology and Psychiatric Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia,School of Psychology, University of Queensland, Brisbane, QLD, Australia
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - E Congdon
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
| | - J Ekelund
- Department of Psychiatry, University of Helsinki and Finland National Public Health Institute, Helsinki, Finland,Finland Vaasa Hospital District, Vaasa, Finland
| | - M Hintsanen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland,Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - T Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere University Hospital, Tampere, Finland,University of Tampere School of Medicine, Tampere, Finland
| | - M Kähönen
- University of Tampere School of Medicine, Tampere, Finland,Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - E Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - A Taanila
- Institute of Health Sciences, Public Health and General Practice, University of Oulu, Oulu, Finland
| | - J Veijola
- Department of Psychiatry, Institute of Clinical Medicine, University of Oulu, Oulu, Finland
| | - A C Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - P A F Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - G W Montgomery
- Genetic Epidemiology, Molecular Epidemiology and Psychiatric Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - C Sabatti
- Department of Health and Research Policy, Stanford University, Stanford, CA, USA,Department of Statistics, Stanford University, Stanford, CA, USA
| | - M-R Järvelin
- Department of Epidemiology and Biostatistics, School of Public Health, MRC-HPA Centre for Environment and Health, Imperial College London, London, UK,Institute of Health Sciences, University of Oulu, Oulu, Finland,Biocenter Oulu, University of Oulu, Oulu, Finland,Department of Lifecourse and Services, National Institute of Health and Welfare, Oulu Finland
| | - A Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK,Department of Medical Genetics, University of Helsinki, Helsinki, Finland,University Central Hospital, Helsinki, Finland
| | - O Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - J Viikari
- Department of Medicine, Turku University Hospital, Turku, Finland,University of Turku, Turku, Finland
| | - N G Martin
- Genetic Epidemiology, Molecular Epidemiology and Psychiatric Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - J G Eriksson
- Finland Vaasa Hospital District, Vaasa, Finland,National Institute for Health and Welfare, Helsinki, Finland,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland,Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland,Folkhalsan Research Centre, Helsinki, Finland
| | | | - N R Wray
- Genetic Epidemiology, Molecular Epidemiology and Psychiatric Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - N B Freimer
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA,The Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA,Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA,Center for Neurobehavioral Genetics, University of California, Gonda Center Room 3506, 695 Charles E Young Dr South, Box 951761, Los Angeles, CA 90095, USA. E-mail:
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MacGregor S, Brown KM, Stark M, Gartside M, Woods S, Bonazzi V, Aoude L, Dutton-Regester K, Tyagi S, Liu J, Duffy DL, Palmer J, Cust A, Schmid H, Symmons J, Holland E, Agha-Hamilton C, Holohan K, Youngkin D, Gillanders E, Jenkins MA, Kelly J, Whiteman DC, Kefford R, Giles G, Armstrong B, Aitken J, Hopper J, Montgomery G, Schmidt C, Trent JM, Martin NG, Mann GJ, Hayward NK. From GWAS to genome sequencing: complementary approaches to identify melanoma predisposition genes. Hered Cancer Clin Pract 2012. [PMCID: PMC3327126 DOI: 10.1186/1897-4287-10-s2-a46] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
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35
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Vinkhuyzen AAE, Pedersen NL, Yang J, Lee SH, Magnusson PKE, Iacono WG, McGue M, Madden PAF, Heath AC, Luciano M, Payton A, Horan M, Ollier W, Pendleton N, Deary IJ, Montgomery GW, Martin NG, Visscher PM, Wray NR. Common SNPs explain some of the variation in the personality dimensions of neuroticism and extraversion. Transl Psychiatry 2012; 2:e102. [PMID: 22832902 PMCID: PMC3337075 DOI: 10.1038/tp.2012.27] [Citation(s) in RCA: 146] [Impact Index Per Article: 12.2] [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] [Indexed: 12/16/2022] Open
Abstract
The personality traits of neuroticism and extraversion are predictive of a number of social and behavioural outcomes and psychiatric disorders. Twin and family studies have reported moderate heritability estimates for both traits. Few associations have been reported between genetic variants and neuroticism/extraversion, but hardly any have been replicated. Moreover, the ones that have been replicated explain only a small proportion of the heritability (<~2%). Using genome-wide single-nucleotide polymorphism (SNP) data from ~12,000 unrelated individuals we estimated the proportion of phenotypic variance explained by variants in linkage disequilibrium with common SNPs as 0.06 (s.e. = 0.03) for neuroticism and 0.12 (s.e. = 0.03) for extraversion. In an additional series of analyses in a family-based sample, we show that while for both traits ~45% of the phenotypic variance can be explained by pedigree data (that is, expected genetic similarity) one third of this can be explained by SNP data (that is, realized genetic similarity). A part of the so-called 'missing heritability' has now been accounted for, but some of the reported heritability is still unexplained. Possible explanations for the remaining missing heritability are that: (i) rare variants that are not captured by common SNPs on current genotype platforms make a major contribution; and/ or (ii) the estimates of narrow sense heritability from twin and family studies are biased upwards, for example, by not properly accounting for nonadditive genetic factors and/or (common) environmental factors.
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Affiliation(s)
- A A E Vinkhuyzen
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia.
| | - N L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - J Yang
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - S H Lee
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia,The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia
| | - P K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - W G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - M McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - P A F Madden
- Washington University School of Medicine, St Louis, MO, USA
| | - A C Heath
- Washington University School of Medicine, St Louis, MO, USA
| | - M Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - A Payton
- Medical Genetics Section, University of Edinburgh Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - M Horan
- School of Medicine, The University of Manchester, Manchester, UK
| | - W Ollier
- Medical Genetics Section, University of Edinburgh Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - N Pendleton
- School of Medicine, The University of Manchester, Manchester, UK
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - G W Montgomery
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - N G Martin
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - P M Visscher
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - N R Wray
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia,The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia
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36
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Zietsch BP, Verweij KJH, Heath AC, Madden PAF, Martin NG, Nelson EC, Lynskey MT. Do shared etiological factors contribute to the relationship between sexual orientation and depression? Psychol Med 2012; 42:521-532. [PMID: 21867592 PMCID: PMC3594769 DOI: 10.1017/s0033291711001577] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [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] [Indexed: 01/22/2023]
Abstract
BACKGROUND Gays, lesbians and bisexuals (i.e. non-heterosexuals) have been found to be at much greater risk for many psychiatric symptoms and disorders, including depression. This may be due in part to prejudice and discrimination experienced by non-heterosexuals, but studies controlling for minority stress, or performed in very socially liberal countries, suggest that other mechanisms must also play a role. Here we test the viability of common cause (shared genetic or environmental etiology) explanations of elevated depression rates in non-heterosexuals. METHOD A community-based sample of adult twins (n=9884 individuals) completed surveys investigating the genetics of psychiatric disorder, and were also asked about their sexual orientation. Large subsets of the sample were asked about adverse childhood experiences such as sexual abuse, physical abuse and risky family environment, and also about number of older brothers, paternal and maternal age, and number of close friends. Data were analyzed using the classical twin design. RESULTS Non-heterosexual males and females had higher rates of lifetime depression than their heterosexual counterparts. Genetic factors accounted for 31% and 44% of variation in sexual orientation and depression respectively. Bivariate analysis revealed that genetic factors accounted for a majority (60%) of the correlation between sexual orientation and depression. In addition, childhood sexual abuse and risky family environment were significant predictors of both sexual orientation and depression, further contributing to their correlation. CONCLUSIONS Non-heterosexual men and women had elevated rates of lifetime depression, partly due to shared etiological factors, although causality cannot be definitively resolved.
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Affiliation(s)
- B P Zietsch
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia.
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37
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Kirk KM, Maes HH, Neale MC, Heath AC, Martin NG, Eaves LJ. Frequency of church attendance in Australia and the United States: models of family resemblance. ACTA ACUST UNITED AC 2012. [DOI: 10.1375/twin.2.2.99] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractData on frequency of church attendance have been obtained from separate cohorts of twins and their families from the USA and Australia (29 063 and 20 714 individuals from 5670 and 5615 families, respectively). The United States sample displayed considerably higher frequency of attendance at church services. Sources of family resemblance for this trait also differed between the Australian and US data, but both indicated significant additive genetic and shared environment effects on church attendance, with minor contributions from twin environment, assortative mating and parent–offspring environmental transmission. Principal differences between the populations were in greater maternal environmental effects in the US sample, as opposed to paternal effects in the Australian sample, and smaller shared environment effects observed for both women and men in the US cohort.
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38
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Wray NR, Pergadia ML, Blackwood DHR, Penninx BWJH, Gordon SD, Nyholt DR, Ripke S, MacIntyre DJ, McGhee KA, Maclean AW, Smit JH, Hottenga JJ, Willemsen G, Middeldorp CM, de Geus EJC, Lewis CM, McGuffin P, Hickie IB, van den Oord EJCG, Liu JZ, Macgregor S, McEvoy BP, Byrne EM, Medland SE, Statham DJ, Henders AK, Heath AC, Montgomery GW, Martin NG, Boomsma DI, Madden PAF, Sullivan PF. Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned. Mol Psychiatry 2012; 17:36-48. [PMID: 21042317 PMCID: PMC3252611 DOI: 10.1038/mp.2010.109] [Citation(s) in RCA: 324] [Impact Index Per Article: 27.0] [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: 05/16/2010] [Revised: 09/12/2010] [Accepted: 09/27/2010] [Indexed: 12/14/2022]
Abstract
Major depressive disorder (MDD) is a common complex disorder with a partly genetic etiology. We conducted a genome-wide association study of the MDD2000+ sample (2431 cases, 3673 screened controls and >1 M imputed single-nucleotide polymorphisms (SNPs)). No SNPs achieved genome-wide significance either in the MDD2000+ study, or in meta-analysis with two other studies totaling 5763 cases and 6901 controls. These results imply that common variants of intermediate or large effect do not have main effects in the genetic architecture of MDD. Suggestive but notable results were (a) gene-based tests suggesting roles for adenylate cyclase 3 (ADCY3, 2p23.3) and galanin (GAL, 11q13.3); published functional evidence relates both of these to MDD and serotonergic signaling; (b) support for the bipolar disorder risk variant SNP rs1006737 in CACNA1C (P=0.020, odds ratio=1.10); and (c) lack of support for rs2251219, a SNP identified in a meta-analysis of affective disorder studies (P=0.51). We estimate that sample sizes 1.8- to 2.4-fold greater are needed for association studies of MDD compared with those for schizophrenia to detect variants that explain the same proportion of total variance in liability. Larger study cohorts characterized for genetic and environmental risk factors accumulated prospectively are likely to be needed to dissect more fully the etiology of MDD.
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Affiliation(s)
- N R Wray
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - M L Pergadia
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - D H R Blackwood
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - B W J H Penninx
- Department of Biological Psychology and Medical Center, VU University, Amsterdam, The Netherlands
| | - S D Gordon
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - D R Nyholt
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - S Ripke
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - D J MacIntyre
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - K A McGhee
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - A W Maclean
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - J H Smit
- Department of Biological Psychology and Medical Center, VU University, Amsterdam, The Netherlands
| | - J J Hottenga
- Department of Biological Psychology and Medical Center, VU University, Amsterdam, The Netherlands
| | - G Willemsen
- Department of Biological Psychology and Medical Center, VU University, Amsterdam, The Netherlands
| | - C M Middeldorp
- Department of Biological Psychology and Medical Center, VU University, Amsterdam, The Netherlands
| | - E J C de Geus
- Department of Biological Psychology and Medical Center, VU University, Amsterdam, The Netherlands
| | - C M Lewis
- Department of Medical and Molecular Genetics, King's College London, MRC SGDP Centre, Institute of Psychiatry, London, UK
| | - P McGuffin
- Department of Medical and Molecular Genetics, King's College London, MRC SGDP Centre, Institute of Psychiatry, London, UK
| | - I B Hickie
- Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, NSW, Australia
| | - E J C G van den Oord
- Center for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - J Z Liu
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - S Macgregor
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - B P McEvoy
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - E M Byrne
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - S E Medland
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - D J Statham
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - A K Henders
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - A C Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - G W Montgomery
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - N G Martin
- Genetic Epidemiology, Molecular Epidemiology, Psychiatric Genetics and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - D I Boomsma
- Department of Biological Psychology and Medical Center, VU University, Amsterdam, The Netherlands
| | - P A F Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - P F Sullivan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
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Terracciano A, Esko T, Sutin AR, de Moor MHM, Meirelles O, Zhu G, Tanaka T, Giegling I, Nutile T, Realo A, Allik J, Hansell NK, Wright MJ, Montgomery GW, Willemsen G, Hottenga JJ, Friedl M, Ruggiero D, Sorice R, Sanna S, Cannas A, Räikkönen K, Widen E, Palotie A, Eriksson JG, Cucca F, Krueger RF, Lahti J, Luciano M, Smoller JW, van Duijn CM, Abecasis GR, Boomsma DI, Ciullo M, Costa PT, Ferrucci L, Martin NG, Metspalu A, Rujescu D, Schlessinger D, Uda M. Meta-analysis of genome-wide association studies identifies common variants in CTNNA2 associated with excitement-seeking. Transl Psychiatry 2011; 1:e49. [PMID: 22833195 PMCID: PMC3309493 DOI: 10.1038/tp.2011.42] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.2] [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] [Indexed: 01/10/2023] Open
Abstract
The tendency to seek stimulating activities and intense sensations define excitement-seeking, a personality trait akin to some aspects of sensation-seeking. This trait is a central feature of extraversion and is a component of the multifaceted impulsivity construct. Those who score high on measures of excitement-seeking are more likely to smoke, use other drugs, gamble, drive recklessly, have unsafe/unprotected sex and engage in other risky behaviors of clinical and social relevance. To identify common genetic variants associated with the Excitement-Seeking scale of the Revised NEO Personality Inventory, we performed genome-wide association studies in six samples of European ancestry (N=7860), and combined the results in a meta-analysis. We identified a genome-wide significant association between the Excitement-Seeking scale and rs7600563 (P=2 × 10(-8)). This single-nucleotide polymorphism maps within the catenin cadherin-associated protein, alpha 2 (CTNNA2) gene, which encodes for a brain-expressed α-catenin critical for synaptic contact. The effect of rs7600563 was in the same direction in all six samples, but did not replicate in additional samples (N=5105). The results provide insight into the genetics of excitement-seeking and risk-taking, and are relevant to hyperactivity, substance use, antisocial and bipolar disorders.
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Affiliation(s)
- A Terracciano
- National Institute on Aging, NIH, DHHS, Baltimore, MD 21224, USA.
| | - T Esko
- University of Tartu, Tartu, Estonia,Estonian Biocenter, Tartu, Estonia
| | - A R Sutin
- National Institute on Aging, NIH, DHHS, Baltimore, MD, USA
| | - M H M de Moor
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - O Meirelles
- National Institute on Aging, NIH, DHHS, Baltimore, MD, USA
| | - G Zhu
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - T Tanaka
- National Institute on Aging, NIH, DHHS, Baltimore, MD, USA
| | - I Giegling
- Department of Psychiatry, University of Munich, Munich, Germany
| | - T Nutile
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - A Realo
- University of Tartu, Tartu, Estonia
| | - J Allik
- University of Tartu, Tartu, Estonia
| | - N K Hansell
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - M J Wright
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - G W Montgomery
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - G Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - J-J Hottenga
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - M Friedl
- Department of Psychiatry, University of Munich, Munich, Germany
| | - D Ruggiero
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - R Sorice
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - S Sanna
- Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Cagliari, Italy
| | - A Cannas
- Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Cagliari, Italy
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - E Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - A Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - J G Eriksson
- National Institute for Health and Welfare, Helsinki, Finland
| | - F Cucca
- Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Cagliari, Italy
| | - R F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - M Luciano
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | - J W Smoller
- Department of Psychiatry and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - C M van Duijn
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands and
| | - G R Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - D I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - M Ciullo
- Institute of Genetics and Biophysics A Buzzati-Traverso, CNR, Naples, Italy
| | - P T Costa
- National Institute on Aging, NIH, DHHS, Baltimore, MD, USA
| | - L Ferrucci
- National Institute on Aging, NIH, DHHS, Baltimore, MD, USA
| | - N G Martin
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - A Metspalu
- University of Tartu, Tartu, Estonia,Estonian Biocenter, Tartu, Estonia
| | - D Rujescu
- Department of Psychiatry, University of Munich, Munich, Germany
| | - D Schlessinger
- National Institute on Aging, NIH, DHHS, Baltimore, MD, USA
| | - M Uda
- Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Cagliari, Italy
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Singh AL, D'Onofrio BM, Slutske WS, Turkheimer E, Emery RE, Harden KP, Heath AC, Madden PAF, Statham DJ, Martin NG. Parental depression and offspring psychopathology: a children of twins study. Psychol Med 2011; 41:1385-1395. [PMID: 21054918 PMCID: PMC3119509 DOI: 10.1017/s0033291710002059] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.7] [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] [Indexed: 11/07/2022]
Abstract
BACKGROUND Associations between parental depression and offspring affective and disruptive disorders are well documented. Few genetically informed studies have explored the processes underlying intergenerational associations. METHOD A semi-structured interview assessing DSM-III-R psychiatric disorders was administered to twins (n=1296) from the Australian Twin Register (ATR), their spouses (n=1046) and offspring (n=2555). We used the Children of Twins (CoT) design to delineate the extent to which intergenerational associations were consistent with a causal influence or due to genetic confounds. RESULTS In between-family analyses, parental depression was associated significantly with offspring depression [hazard ratio (HR) 1.52, 95% confidence interval (CI) 1.20-1.93] and conduct disorder (CD; HR 2.27, CI 1.31-3.93). Survival analysis indicated that the intergenerational transmission of depression is consistent with a causal (environmental) inference, with a significant intergenerational association in offspring of discordant monozygotic (MZ) twin pairs (HR 1.39, CI 1.00-1.94). Logistic regression analysis suggested that the parental depression-offspring CD association was due to shared genetic liability in the parents and offspring. No intergenerational association was found when comparing the offspring of discordant MZ twins [odds ratio (OR) 1.41, CI 0.63-3.14], but offspring of discordant dizygotic (DZ) twins differed in their rates of CD (OR 2.53, CI 0.95-6.76). All findings remained after controlling for several measured covariates, including history of depression and CD in the twins' spouses. CONCLUSIONS The mechanisms underlying associations between parental depression and offspring psychopathology seem to differ depending on the outcome. The results are consistent with a causal environmental role of parental depression in offspring depression whereas common genetic factors account for the association of parental depression and offspring CD.
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Affiliation(s)
- A L Singh
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
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Abstract
BACKGROUND Three cognitive constructs are risk factors for eating disorders: undue influence of weight and shape, concern about weight and shape, and body dissatisfaction (BD). Undue influence, a diagnostic criterion for eating disorders, is postulated to be closely associated with self-esteem whereas BD is postulated to be closely associated with body mass index (BMI). We understand less about the relationships with concern about weight and shape. The aim of the current investigation was examine the degree of overlap across these five phenotypes in terms of latent genetic and environmental risk factors in order to draw some conclusions about the similarities and differences across the three cognitive variables. METHOD A sample of female Australian twins (n=1056, including 348 complete pairs), mean age 35 years (S.D.=2.11, range 28-40), completed a semi-structured interview about eating pathology and self-report questionnaires. An independent pathways model was used to investigate the overlap of genetic and environmental risk factors for the five phenotypes. RESULTS In terms of variance that was not shared with other phenotypes, self-esteem emerged as being separate, with 100% of its variance unshared with the other phenotypes, followed by undue influence (51%) and then concern (34%), BD (28%) and BMI (32%). CONCLUSIONS In terms of shared genetic risk, undue influence and concern were more closely related than BD, whereas BMI and BD were found to share common sources of risk. With respect to environmental risk factors, concern, BMI and BD were more closely related to each other than to undue influence.
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Affiliation(s)
- T D Wade
- School of Psychology, Flinders University, Adelaide, South Australia, Australia.
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Ferreira MAR, Oates NA, van Vliet J, Zhao ZZ, Ehrich M, Martin NG, Montgomery GW, Whitelaw E, Duffy DL. Characterization of the methylation patterns of MS4A2 in atopic cases and controls. Allergy 2010; 65:333-7. [PMID: 19796196 DOI: 10.1111/j.1398-9995.2009.02135.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND It is largely unknown whether epigenetic modifications of key genes may contribute to the reported maternal effects in atopy. The aim of this study was to characterize the methylation patterns of the membrane-spanning 4-domains, subfamily A, member 2 gene (MS4A2) (beta-chain of the IgE high-affinity receptor), a key gene in the allergic cascade. METHODS Mass spectrometry and bisulphite sequencing were used to measure the methylation of two potential substrates for epigenetic regulation of MS4A2, namely a predicted promoter and a CpG-rich AluSp repeat. Methylation was measured in DNA extracted from peripheral blood lymphocytes of 38 atopic cases and 37 controls. Cases were positive for atopy, asthma, bronchial hyper-responsiveness and had high IgE levels. Both parents of eight atopic cases were also tested. RESULTS The AluSp element was highly methylated across all individuals (mean 0.92, range 0.87-0.94), a pattern inconsistent with classical imprinting. Variation in methylation at this locus was not associated with age, sex, daily steroid use or atopic status, and there were no differences in methylation between mothers and fathers of atopic cases. Bisulphite sequencing analysis of the promoter region showed that it was also not imprinted, and there was no evidence for allele-specific methylation, but we were unable to test for association with atopy status. CONCLUSIONS Methylation levels at the AluSp repeat analysed in MS4A2 were inconsistent with classical imprinting mechanisms and did not associate with atopy status. The promoter region was less methylated but further analysis of this region in larger cohorts is warranted to investigate its role in allergic disease.
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Affiliation(s)
- M A R Ferreira
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Qld, Australia
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Montgomery GW, Painter JN, Anderson CA, Nyholt DR, Macgregor S, Lee SH, Visscher PM, Kraft P, Martin NG, Morris AP, Treloar SA, Kennedy SH, Missmer SA, Zondervan KT. 135. GENOME-WIDE ASSOCIATION STUDY IDENTIFIES A LOCUS AT 7p15.2 ASSOCIATED WITH THE DEVELOPMENT OF MODERATE - SEVERE ENDOMETRIOSIS. Reprod Fertil Dev 2010. [DOI: 10.1071/srb10abs135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Endometriosis is a common gynaecological disease associated with severe pelvic pain and sub-fertility. There is considerable debate whether different endometriosis stages represent disease progression, or whether moderate-severe (rAFS III/IV) disease is pathological and minimal-mild (rAFS I/II) an epiphenomenon. We conducted a genome-wide association study using 540 082 SNPs in 3194 surgically confirmed endometriosis cases and 7060 controls from Australia and the UK. We used novel statistical methods to estimate the proportion of common variation explained by all markers and performed polygenic predictive modelling for disease stage, both showing significantly increased genetic loading among the 42% of cases with moderate-severe endometriosis. The strongest signals of association were also observed for moderate-severe disease. We subsequently genotyped 72 SNPs in an independent US dataset comprising 2392 endometriosis cases and 1646 controls. An association with rs7798431 on 7p15.2 for moderate-severe endometriosis (P = 6.0 × 10–8, OR = 1.34 (1.21–1.49)) was replicated, reaching combined genome-wide significance (P = 1.7 × 10–9; OR = 1.26 (1.17–1.35)). The implicated inter-genic region involves a 48 kb segment of high LD upstream of plausible candidate genes NFE2L3 and HOXA10. This locus is the first to be robustly implicated in the aetiology of endometriosis, with evidence of association limited to moderate-severe disease.
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Painter JN, Willemsen G, Nyholt DR, Hoekstra C, Duffy D, Henders A, Wallace L, Healy S, Cannon-Albright LA, Skolnick M, Martin NG, Boomsma DI, Montgomery GW. 138. GENOME-WIDE LINKAGE SCAN FOR FAMILIAL DIZYGOTIC TWINNING. Reprod Fertil Dev 2010. [DOI: 10.1071/srb10abs138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The tendency to conceive dizygotic (DZ) twins is a complex trait influenced by genetic and environmental factors. To search for new candidate loci for twinning we have conducted a genome-wide linkage scan in 525 families using microsatellite and single nucleotide polymorphism (SNP) marker panels. Non-parametric linkage analyses including 523 families containing a total of 1115 mothers of DZ twins (MODZT) from Australia and New Zealand (ANZ) and The Netherlands (NL) produced four linkage peaks above the threshold for suggestive linkage, including a highly suggestive peak at the extreme telomeric end of chromosome 6 with an exponential (exp)LOD score of 2.813 (P = 0.0002). Since the DZ twinning rate increases steeply with maternal age independent of genetic effects, we also investigated linkage including only families where at least one MODZT gave birth to her first set of twins before the age of 30. These analyses produced a maximum expLOD score of 2.718 (p = 0.0002), largely due to linkage signal from the ANZ cohort, however, ordered subset analyses indicated this result is most likely a chance finding in the combined dataset. Linkage analyses were also performed for two large DZ twinning families from the USA, one of which produced a peak on chromosome 2 in the region of two potential candidate genes. Sequencing of FSHR and FIGLA, along with INHBB in MODZTs from two large NL families with family-specific linkage peaks directly over this gene, revealed a potentially functional variant in the 5’ untranslated region of FSHR that segregated with the DZ twinning phenotype in the UT family. Work is continuing screening candidate genes. Our data provide further evidence for complex inheritance of familial DZ twinning.
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Ferreira MAR, Zhao ZZ, Thomsen SF, James M, Evans DM, Postmus PE, Kyvik KO, Backer V, Boomsma DI, Martin NG, Montgomery GW, Duffy DL. Association and interaction analyses of eight genes under asthma linkage peaks. Allergy 2009; 64:1623-8. [PMID: 19824886 DOI: 10.1111/j.1398-9995.2009.02091.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Linkage studies have implicated the 2q33, 9p21, 11q13 and 20q13 regions in the regulation of allergic disease. The aim of this study was to test genetic variants in candidate genes from these regions for association with specific asthma traits. METHODS Ninety-five single nucleotide polymorphisms (SNP) located in eight genes (CD28, CTLA4, ICOS, ADAM23, ADAMTSL1, MS4A2, CDH26 and HRH3) were genotyped in >5000 individuals from Australian (n = 1162), Dutch (n = 99) and Danish (n = 303) families. Traits tested included doctor-diagnosed asthma, atopy, airway obstruction, total serum immunoglobulin (Ig) E levels and eosinophilia. Association was tested using both multivariate and univariate methods, with gene-wide thresholds for significance determined through simulation. Gene-by-gene and gene-by-environment analyses were also performed. RESULTS There was no overall evidence for association with seven of the eight genes tested when considering all genetic variation assayed in each gene. The exception was MS4A2 on chromosome 11q13, which showed weak evidence for association with IgE (gene-wide P < 0.05, rs502581). There were no significant gene-by-gene or gene-by-environment interaction effects after accounting for the number of tests performed. CONCLUSIONS The individual variants genotyped in the 2q33, 9p21 and 20q13 regions do not explain a large fraction of the variation in the quantitative traits tested or have a major impact on asthma or atopy risk. Our results are consistent with a weak effect of MS4A2 polymorphisms on the variation of total IgE levels.
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Affiliation(s)
- M A R Ferreira
- Queensland Institute of Medical Research, Brisbane, Australia
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Byrne EM, McRae AF, Duffy DL, Zhao ZZ, Martin NG, Whitfield JB, Visscher PM, Montgomery GW. Family-based mitochondrial association study of traits related to type 2 diabetes and the metabolic syndrome in adolescents. Diabetologia 2009; 52:2359-2368. [PMID: 19760390 DOI: 10.1007/s00125-009-1510-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [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: 10/03/2008] [Accepted: 07/06/2009] [Indexed: 01/06/2023]
Abstract
AIMS/HYPOTHESIS There has been much focus on the potential role of mitochondria in the aetiology of type 2 diabetes and the metabolic syndrome, and many case-control mitochondrial association studies have been undertaken for these conditions. We tested for a potential association between common mitochondrial variants and a number of quantitative traits related to type 2 diabetes in a large sample of >2,000 healthy Australian adolescent twins and their siblings, many of whom were measured on more than one occasion. METHODS To the best of our knowledge, this is the first mitochondrial association study of quantitative traits undertaken using family data. The maternal inheritance pattern of mitochondria means established association methodologies are unsuitable for analysis of mitochondrial data in families. We present a methodology, implemented in the freely available program Sib-Pair for performing such an analysis. RESULTS Despite our study having the power to detect variants with modest effects on these phenotypes, only one significant association was found after correction for multiple testing in any of four age groups. This was for mt14365 with triacylglycerol levels (unadjusted p = 0.0006). This association was not replicated in other age groups. CONCLUSIONS/INTERPRETATION We find little evidence in our sample to suggest that common European mitochondrial variants contribute to variation in quantitative phenotypes related to diabetes. Only one variant showed a significant association in our sample, and this association will need to be replicated in a larger cohort. Such replication studies or future meta-analyses may reveal more subtle effects that could not be detected here because of limitations of sample size.
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Affiliation(s)
- E M Byrne
- Queensland Statistical Genetics, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD, 4029, Australia.
- Queensland Statistical Genetics, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD, 4029, Australia.
- School of Medicine, University of Queensland, Brisbane, QLD, Australia.
| | - A F McRae
- Queensland Statistical Genetics, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD, 4029, Australia
- Queensland Statistical Genetics, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD, 4029, Australia
| | - D L Duffy
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - Z Z Zhao
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - N G Martin
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - J B Whitfield
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - P M Visscher
- Queensland Statistical Genetics, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD, 4029, Australia
- Queensland Statistical Genetics, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD, 4029, Australia
| | - G W Montgomery
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia
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Kettunen J, Perola M, Martin NG, Cornes BK, Wilson SG, Montgomery GW, Benyamin B, Harris JR, Boomsma D, Willemsen G, Hottenga JJ, Slagboom PE, Christensen K, Kyvik KO, Sørensen TIA, Pedersen NL, Magnusson PKE, Andrew T, Spector TD, Widen E, Silventoinen K, Kaprio J, Palotie A, Peltonen L. Multicenter dizygotic twin cohort study confirms two linkage susceptibility loci for body mass index at 3q29 and 7q36 and identifies three further potential novel loci. Int J Obes (Lond) 2009; 33:1235-42. [PMID: 19721450 DOI: 10.1038/ijo.2009.168] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [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: 12/22/2022]
Abstract
OBJECTIVE To identify common loci and potential genetic variants affecting body mass index (BMI, kg m(-2)) in study populations originating from Europe. DESIGN We combined genome-wide linkage scans of six cohorts from Australia, Denmark, Finland, the Netherlands, Sweden and the United Kingdom with an approximately 10-cM microsatellite marker map. Variance components linkage analysis was carried out with age, sex and country of origin as covariates. SUBJECTS The GenomEUtwin consortium consists of twin cohorts from eight countries (Australia, Denmark, the Netherlands, Finland, Italy, Norway, Sweden and the United Kingdom) with a total data collection of more than 500,000 monozygotic and dizygotic (DZ) twin pairs. Variance due to early-life events and the environment is reduced within twin pairs, which makes DZ pairs highly valuable for linkage studies of complex traits. This study totaled 4401 European-originated twin families (10,535 individuals) from six countries (Australia, Denmark, the Netherlands, Finland, Sweden and the United Kingdom). RESULTS We found suggestive evidence for a quantitative trait locus on 3q29 and 7q36 in the combined sample of DZ twins (multipoint logarithm of odds score (MLOD) 2.6 and 2.4, respectively). Two individual cohorts showed strong evidence independently for three additional loci: 16q23 (MLOD=3.7) and 2p24 (MLOD=3.4) in the Dutch cohort and 20q13 (MLOD=3.2) in the Finnish cohort. CONCLUSION Linkage analysis of the combined data in this large twin cohort study provided evidence for suggestive linkage to BMI. In addition, two cohorts independently provided significant evidence of linkage to three new loci. The results of our study suggest a smaller environmental variance between DZ twins than full siblings, with a corresponding increase in heritability for BMI as well as an increase in linkage signal in well-replicated regions. The results are consistent with the possibility of locus heterogeneity for some genomic regions, and indicate a lack of major common quantitative trait locus variants affecting BMI in European populations.
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Affiliation(s)
- J Kettunen
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
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Verweij KJH, Zietsch BP, Bailey JM, Martin NG. Shared aetiology of risky sexual behaviour and adolescent misconduct: genetic and environmental influences. Genes Brain Behav 2009; 8:107-13. [PMID: 19016887 DOI: 10.1111/j.1601-183x.2008.00456.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Risky sexual behaviour (RSB) is a major risk factor for serious diseases as well as unplanned pregnancy. It is not known if RSB has a genetic basis or if it is only influenced by social and cultural conditions. Adolescent conduct disorder has previously been linked to RSB and has been found to be influenced by both genetic and environmental factors. In this study, we look at normal variation in a broad measure of RSB and in retrospectively reported adolescent misconduct in a large community sample of twins (n = 4904) to partition the variance and covariance between the traits into genetic and environmental components. We found that RSB is influenced to the same extent by genes, shared environment and unshared environment. Adolescent misconduct is moderately influenced by genetic factors and only modestly by shared environmental factors. Moreover, RSB is associated with adolescent misconduct (r = 0.5), primarily because of genetic correlation between the variables. The implications of our findings as well as possible sex differences are discussed.
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Affiliation(s)
- K J H Verweij
- Genetic Epidemiology, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD 4029, Australia.
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Abstract
BACKGROUND Few genetically informative studies have examined the effects of different types of trauma on risk for depression over time. The aim of the present study was to examine the relative contributions over time of assaultive trauma, non-assaultive trauma, and familial effects to risk for depression. METHOD Histories of depression and trauma were obtained during structured diagnostic interviews with 5266 (mean age 29.9 years, s.d.=2.4) members of a volunteer Australian twin panel from the general population. Age at first onset of a DSM-IV major depressive episode was the dependent variable. Associations of depression with traumatic events were examined while accounting for the temporal sequence of trauma and depression and familial effects. RESULTS Assaultive traumatic events that occurred during childhood had the strongest association with immediate and long-term risk for depression, and outweighed familial effects on childhood-onset depression for most twins. Although men and women endorsed equal rates of assaultive trauma, women reported a greater accumulation of assaultive events at earlier ages than men, whereas men reported a greater accumulation of non-assaultive events at all ages. CONCLUSIONS Early exposure to assaultive trauma can influence risk for depression into adulthood. Concordance for early trauma is a significant contributor to the familiality of early-onset depression.
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Affiliation(s)
- V V McCutcheon
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA.
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Luciano M, Miyajima F, Lind PA, Bates TC, Horan M, Harris SE, Wright MJ, Ollier WE, Hayward C, Pendleton N, Gow AJ, Visscher PM, Starr JM, Deary IJ, Martin NG, Payton A. Variation in the dysbindin gene and normal cognitive function in three independent population samples. Genes Brain Behav 2008; 8:218-27. [PMID: 19077176 DOI: 10.1111/j.1601-183x.2008.00462.x] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The association between DTNBP1 genotype and cognitive abilities was investigated in three population samples (1054 Scottish, 1806 Australian and 745 English) of varying age. There was evidence in each of the cohorts for association (P < 0.05) to single nucleotide polymorphisms (SNPs) and haplotypes previously shown to relate to cognition. By comparison with previous findings, these associations included measures of memory, and there was at best equivocal evidence of association with general cognitive ability. Of the SNPs typed in all three cohorts, rs2619528 and rs1011313 showed significant association with measures of executive function in two cohorts, rs1018381 showed significant association with verbal ability in one cohort and rs2619522 showed significance/marginal significance with tests of memory, speed and executive function in two cohorts. For all these SNPs, the direction and magnitude of the allelic effects were consistent between cohorts and with previous findings. In the English cohort, a previously untested SNP (rs742105) located in a distinct haplotype block upstream of the other SNPs showed the strongest significance (P < 0.01) for measures of memory but weaker significance for general cognitive ability. Our results therefore support involvement of the dysbindin gene in cognitive function, but further work is needed to clarify the specific functional variants involved and the cognitive abilities with which they are associated.
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Affiliation(s)
- M Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK.
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