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Ma WR, Zhang LL, Ma JY, Yu F, Hou YQ, Feng XR, Yang L. Mendelian randomization studies of depression: evidence, opportunities, and challenges. Ann Gen Psychiatry 2023; 22:47. [PMID: 37996851 PMCID: PMC10666459 DOI: 10.1186/s12991-023-00479-6] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) poses a significant social and economic burden worldwide. Identifying exposures, risk factors, and biological mechanisms that are causally connected to MDD can help build a scientific basis for disease prevention and development of novel therapeutic approaches. METHODS In this systematic review, we assessed the evidence for causal relationships between putative causal risk factors and MDD from Mendelian randomization (MR) studies, following PRISMA. We assessed methodological quality based on key elements of the MR design: use of a full instrumental variable analysis and validation of the three key MR assumptions. RESULTS We included methodological details and results from 52 articles. A causal link between lifestyle, metabolic, inflammatory biomarkers, particular pathological states and MDD is supported by MR investigations, although results for each category varied substantially. CONCLUSIONS While this review shows how MR can offer useful information for examining prospective treatment targets and better understanding the pathophysiology of MDD, some methodological flaws in the existing literature limit reliability of results and probably underlie their heterogeneity. We highlight perspectives and recommendations for future works on MR in psychiatry.
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Affiliation(s)
- Wang-Ran Ma
- Xian Hospital of Traditional Chinese Medicine, Xi'an, 710021, China
- Shanxi University of Traditional Chinese Medicine, Xianyang, 712046, China
| | - Lei-Lei Zhang
- Xian Hospital of Traditional Chinese Medicine, Xi'an, 710021, China
| | - Jing-Ying Ma
- Shanxi University of Traditional Chinese Medicine, Xianyang, 712046, China
| | - Fang Yu
- Shanxi University of Traditional Chinese Medicine, Xianyang, 712046, China
| | - Ya-Qing Hou
- Shanxi University of Traditional Chinese Medicine, Xianyang, 712046, China
| | - Xiang-Rui Feng
- Shanxi University of Traditional Chinese Medicine, Xianyang, 712046, China
| | - Lin Yang
- Xian Hospital of Traditional Chinese Medicine, Xi'an, 710021, China.
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Hung CI, Wu CT, Chao YP. Differences in gray matter volumes of subcortical nuclei between major depressive disorder with and without persistent depressive disorder. J Affect Disord 2023; 321:161-166. [PMID: 36272460 DOI: 10.1016/j.jad.2022.10.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 10/01/2022] [Accepted: 10/17/2022] [Indexed: 11/17/2022]
Abstract
OBJECTIVE This study aimed to compare the differences in gray matter volumes (GMVs) of subcortical nuclei between major depressive disorder (MDD) patients with and without persistent depressive disorder (PDD) at long-term follow-up. METHODS 114 and 94 subjects with MDD, including 48 and 41 with comorbid PDD, were enrolled to undergo high-resolution T1-weighted imaging at first (FIP) and second (three years later, SIP) investigation points, respectively. FreeSurfer was used to extract the GMVs of seven subcortical nuclei, and Generalized Estimating Equation models were employed to estimate the differences in GMVs of subcortical nuclei between the two subgroups. RESULTS The PDD subgroup had a significantly greater depressive severity and a higher percentage of patients undergoing pharmacotherapy at the FIP as compared with the non-PDD subgroup. These differences became insignificant at the SIP. The PDD subgroup had a significantly (p < 0.003) smaller GMV in the right putamen at the SIP and in the right nucleus accumbens (NAc) at the FIP and SIP as compared with the non-PDD subgroup. After controlling for clinical variables, PDD was independently associated with smaller GMVs in the right putamen and NAc. LIMITATIONS Imaging was not performed at baseline and pharmacotherapy was not controlled at the FIP and SIP. CONCLUSIONS MDD with PDD was associated with smaller GMVs in the right putamen and NAc as compared with MDD without PDD. Whether the two regions are biomarkers related to a poor prognosis and the chronicity of depression requires further study.
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Affiliation(s)
- Ching-I Hung
- Department of Psychiatry, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chen-Te Wu
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Yi-Ping Chao
- Graduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Neurology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
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Farooqui M, Shoaib S, Afaq H, Quadri S, Zaina F, Baig A, Liaquat A, Sarwar Z, Zafar A, Younus S. Bidirectionality of smoking and depression in adolescents: a systematic review. Trends Psychiatry Psychother 2022; 45:e20210429. [PMID: 35738567 PMCID: PMC10416256 DOI: 10.47626/2237-6089-2021-0429] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 06/08/2022] [Indexed: 11/20/2022]
Abstract
INTRODUCTION Recently, evidence has been accumulating that both smoking and mental health disorders are continuously increasing among adolescents. This systematic review elucidates the research into evidence of the direction of the association and risk factors influencing the relationship between smoking and depression. We also highlight recent studies on the effects of electronic cigarettes and developments on the association between depression and smoking. METHODS A literature search was conducted on databases including PubMed, Ovid Medline, EMBASE, and PsycINFO and in relevant neurology and psychiatry journals. Terms used for electronic searches included smoking, tobacco, cigarettes; depression; adolescent, youth; direction. Relevant information was then utilized to synthesize findings on the association between smoking and depression among adolescent population. RESULTS The initial database searches yielded 2,738 related articles. After screening and cross-referencing, duplicate articles, articles published in languages other than English, and studies on animals, social and lifestyle factors, mood disorders, and substance use were excluded. Of these, a total of 122 publications only focusing on smoking and depression in the adolescent population were selected for synthesis in this qualitative systemic review. These include 110 original research articles, eight meta-analyses and reviews, and four reports and websites. CONCLUSION The relationship between smoking and depression in the literature does not reflect the cause-effect relationship. The lack of evidence on the direction of the association may reflect futile study designs, confounding factors and/or use of indirect measures of depression and quantification of smoking. Future prospective randomized studies should target elucidation of the causal association.
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Affiliation(s)
- Mudassir Farooqui
- Department of NeurologyUniversity of IowaHospitals and ClinicsIowa CityIAUSA Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
| | - Samra Shoaib
- Department of PsychiatryNassau UniversityMedical CenterEast MeadowNYUSA Department of Psychiatry, Nassau University Medical Center, East Meadow, NY, USA.
| | - Humera Afaq
- Department of Public HealthNational UniversitySan DiegoCAUSA Department of Public Health, National University, San Diego, CA, USA.
| | - Syed Quadri
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMAUSA Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Fatima Zaina
- Department of PulmonologyZiauddin University and HospitalKarachiPakistan Department of Pulmonology, Ziauddin University and Hospital, Karachi, Pakistan.
| | - Aqsa Baig
- Liaquat National HospitalMedical CollegeKarachiPakistan Liaquat National Hospital & Medical College, Karachi, Pakistan.
| | - Ayesha Liaquat
- Karachi Medical and Dental CollegeKarachiPakistan Karachi Medical and Dental College, Karachi, Pakistan.
| | - Zoona Sarwar
- Department of SurgeryUniversity of OklahomaOklahoma CityOKUSA Department of Surgery, University of Oklahoma, Oklahoma City, OK, USA.
| | - Atif Zafar
- Department of NeurologyUniversity of TorontoTorontoONCanada Department of Neurology, University of Toronto, Toronto, ON, Canada.
| | - Sana Younus
- Menninger Department of Psychiatry and Behavioral SciencesBaylor College of MedicineHoustonTXUSA Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
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4
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Hoogman M, van Rooij D, Klein M, Boedhoe P, Ilioska I, Li T, Patel Y, Postema MC, Zhang‐James Y, Anagnostou E, Arango C, Auzias G, Banaschewski T, Bau CHD, Behrmann M, Bellgrove MA, Brandeis D, Brem S, Busatto GF, Calderoni S, Calvo R, Castellanos FX, Coghill D, Conzelmann A, Daly E, Deruelle C, Dinstein I, Durston S, Ecker C, Ehrlich S, Epstein JN, Fair DA, Fitzgerald J, Freitag CM, Frodl T, Gallagher L, Grevet EH, Haavik J, Hoekstra PJ, Janssen J, Karkashadze G, King JA, Konrad K, Kuntsi J, Lazaro L, Lerch JP, Lesch K, Louza MR, Luna B, Mattos P, McGrath J, Muratori F, Murphy C, Nigg JT, Oberwelland‐Weiss E, O'Gorman Tuura RL, O'Hearn K, Oosterlaan J, Parellada M, Pauli P, Plessen KJ, Ramos‐Quiroga JA, Reif A, Reneman L, Retico A, Rosa PGP, Rubia K, Shaw P, Silk TJ, Tamm L, Vilarroya O, Walitza S, Jahanshad N, Faraone SV, Francks C, van den Heuvel OA, Paus T, Thompson PM, Buitelaar JK, Franke B. Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure. Hum Brain Mapp 2022; 43:37-55. [PMID: 32420680 PMCID: PMC8675410 DOI: 10.1002/hbm.25029] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [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] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/07/2020] [Accepted: 04/20/2020] [Indexed: 01/01/2023] Open
Abstract
Neuroimaging has been extensively used to study brain structure and function in individuals with attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) over the past decades. Two of the main shortcomings of the neuroimaging literature of these disorders are the small sample sizes employed and the heterogeneity of methods used. In 2013 and 2014, the ENIGMA-ADHD and ENIGMA-ASD working groups were respectively, founded with a common goal to address these limitations. Here, we provide a narrative review of the thus far completed and still ongoing projects of these working groups. Due to an implicitly hierarchical psychiatric diagnostic classification system, the fields of ADHD and ASD have developed largely in isolation, despite the considerable overlap in the occurrence of the disorders. The collaboration between the ENIGMA-ADHD and -ASD working groups seeks to bring the neuroimaging efforts of the two disorders closer together. The outcomes of case-control studies of subcortical and cortical structures showed that subcortical volumes are similarly affected in ASD and ADHD, albeit with small effect sizes. Cortical analyses identified unique differences in each disorder, but also considerable overlap between the two, specifically in cortical thickness. Ongoing work is examining alternative research questions, such as brain laterality, prediction of case-control status, and anatomical heterogeneity. In brief, great strides have been made toward fulfilling the aims of the ENIGMA collaborations, while new ideas and follow-up analyses continue that include more imaging modalities (diffusion MRI and resting-state functional MRI), collaborations with other large databases, and samples with dual diagnoses.
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Affiliation(s)
- Martine Hoogman
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Daan van Rooij
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceRadboud University Medical CenterNijmegenThe Netherlands
| | - Marieke Klein
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of PsychiatryUniversity Medical Center Utrecht, UMC Utrecht Brain CenterUtrechtThe Netherlands
| | - Premika Boedhoe
- Department of Psychiatry, Department of Anatomy & NeurosciencesAmsterdam Neuroscience, Amsterdam UMC Amsterdam UMC, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Iva Ilioska
- Department of Cognitive NeuroscienceRadboud University Medical CenterNijmegenThe Netherlands
| | - Ting Li
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Yash Patel
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Merel C. Postema
- Department of Language & GeneticsMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - Yanli Zhang‐James
- Department of Psychiatry and behavioral sciencesSUNY Upstate Medical UniversitySyracuseNew YorkUSA
| | - Evdokia Anagnostou
- Department of Pediatrics University of TorontoHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Celso Arango
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of Medicine, Universidad ComplutenseMadridSpain
| | | | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and PsychotherapyCentral Institute of Mental Health, Mannheim, Medical Faculty Mannheim/Heidelberg UniversityMannheimGermany
| | - Claiton H. D. Bau
- Department of Genetics, Institute of BiosciencesUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research CenterHospital de Clínicas de Porto AlegrePorto AlegreBrazil
- Developmental Psychiatry Program, Experimental Research CenterHospital de Clínicas de Porto AlegrePorto AlegreBrazil
| | - Marlene Behrmann
- Department of Psychology and Neuroscience InstituteCarnegie Mellon UniversityPittsburghPennsylvaniaUSA
| | - Mark A. Bellgrove
- Turner Institute for Brain and Mental Health and School of Psychological SciencesMonash UniversityMelbourneVictoriaAustralia
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and PsychotherapyCentral Institute of Mental Health, Mannheim, Medical Faculty Mannheim/Heidelberg UniversityMannheimGermany
- Department of Child and Adolescent Psychiatry and PsychotherapyPsychiatric Hospital, University of ZurichZurichSwitzerland
- The Neuroscience Center ZurichUniversity of Zurich and ETH ZurichZurichSwitzerland
| | - Silvia Brem
- Department of Child and Adolescent Psychiatry and PsychotherapyPsychiatric Hospital, University of ZurichZurichSwitzerland
- The Neuroscience Center ZurichUniversity of Zurich and ETH ZurichZurichSwitzerland
| | - Geraldo F. Busatto
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao PauloSao PauloBrazil
| | - Sara Calderoni
- Department of Developmental NeuroscienceIRCCS Fondazione Stella MarisPisaItaly
- Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
- Department of Child and Adolescent Psychiatry and PsychologyHospital ClínicBarcelonaSpain
| | - Rosa Calvo
- IDIBAPSBarcelonaSpain
- Biomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
- Department of MedicineUniversity of BarcelonaBarcelonaSpain
- Department of Child and Adolescent PsychiatryHassenfeld Children's Hospital at NYU LangoneNew YorkNew YorkUSA
| | - Francisco X. Castellanos
- Department of Child and Adolescent PsychiatryHassenfeld Children's Hospital at NYU LangoneNew YorkNew YorkUSA
- Nathan Kline Institute for Psychiatric ResearchOrangeburgNew YorkUSA
| | - David Coghill
- Department of Paediatrics and PsychiatryUniversity of MelbourneMelbourneVictoriaAustralia
- Murdoch Children's Research InstituteMelbourneVictoriaAustralia
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyUniversity Hospital of Psychiatry and PsychotherapyTübingenGermany
- PFH – Private University of Applied Sciences, Department of Psychology (Clinical Psychology II)GöttingenGermany
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental ScienceInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | | | - Ilan Dinstein
- Department of PsychologyBen Gurion UniversityBeer ShevaIsrael
| | - Sarah Durston
- NICHE lab, Deptartment of PsychiatryUMC Utrecht Brain CenterUtrechtThe Netherlands
| | - Christine Ecker
- Department of Forensic and Neurodevelopmental ScienceInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyAutism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe UniversityFrankfurt am MainGermany
| | - Stefan Ehrlich
- Division of Psychological & Social Medicine and Developmental Neurosciences, Faculty of MedicineTechnischen Universität DresdenDresdenGermany
- Eating Disorders Research and Treatment Center at the Dept. of Child and Adolescent Psychiatry, Faculty of MedicineTechnischen Universität DresdenDresdenGermany
| | - Jeffery N. Epstein
- Division of Behavioral Medicine and Clinical PsychologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of PediatricsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Damien A. Fair
- Department of PsychiatryOregon Health & Science UniversityPortlandOregonUSA
- Department of Behavioral NeuroscienceOregon Health & Science UniversityPortlandOregonUSA
| | | | - Christine M. Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyAutism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe UniversityFrankfurt am MainGermany
| | - Thomas Frodl
- Department of Psychiatry, School of MedicineTrinity College DublinDublinIreland
- Department of Psychiatry and PsychotherapyOtto von Guericke University MagdeburgMagdeburgGermany
- German Center for Neurodegenerative Disorders (DZNE)MagdeburgGermany
| | - Louise Gallagher
- Department of Psychiatry, School of MedicineTrinity College DublinDublinIreland
| | - Eugenio H. Grevet
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research CenterHospital de Clínicas de Porto AlegrePorto AlegreBrazil
- Developmental Psychiatry Program, Experimental Research CenterHospital de Clínicas de Porto AlegrePorto AlegreBrazil
- Department of Psychiatry, Faculty of Medical ScienceUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
| | - Jan Haavik
- K.G. Jebsen Centre for Neuropsychiatric Disorders, Department of BiomedicineUniversity of BergenBergenNorway
- Division of PsychiatryHaukeland University HospitalBergenNorway
| | - Pieter J. Hoekstra
- Department of Child and Adolescent PsychiatryUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Joost Janssen
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
| | - Georgii Karkashadze
- Scientific research institute of Pediatrics and child health of Central clinical Hospital RAoSMoscowRussia
| | - Joseph A. King
- Division of Psychological & Social Medicine and Developmental Neurosciences, Faculty of MedicineTechnischen Universität DresdenDresdenGermany
| | - Kerstin Konrad
- Child Neuropsychology SectionUniversity Hospital RWTH AachenAachenGermany
- JARA Institute Molecular Neuroscience and Neuroimaging (INM‐11), Institute for Neuroscience and MedicineResearch Center JülichJulichGermany
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Luisa Lazaro
- Department of Child and Adolescent Psychiatry and PsychologyHospital ClínicBarcelonaSpain
- IDIBAPSBarcelonaSpain
- Biomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
- Department of MedicineUniversity of BarcelonaBarcelonaSpain
| | - Jason P. Lerch
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department for Clinical NeurosciencesUniversity of OxfordUK
- The Hospital for Sick ChildrenTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Klaus‐Peter Lesch
- Division of Molecular Psychiatry, Center of Mental HealthUniversity of WürzburgWürzburgGermany
- Laboratory of Psychiatric NeurobiologyInstitute of Molecular Medicine, I.M. Sechenov First Moscow State Medical UniversityMoscowRussia
- Department of Neuroscience, School for Mental Health and Neuroscience (MHeNS)Maastricht UniversityMaastrichtThe Netherlands
| | - Mario R. Louza
- Department and Institute of Psychiatry, Faculty of MedicineUniversity of Sao PauloSao PauloBrazil
| | - Beatriz Luna
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Paulo Mattos
- D'Or Institute for Research and EducationRio de JaneiroBrazil
- Federal University of Rio de JaneiroRio de JaneiroBrazil
| | - Jane McGrath
- Department of Psychiatry, School of MedicineTrinity College DublinDublinIreland
| | - Filippo Muratori
- Department of Developmental NeuroscienceIRCCS Fondazione Stella MarisPisaItaly
- Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Clodagh Murphy
- Department of Forensic and Neurodevelopmental ScienceInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Joel T. Nigg
- Department of PsychiatryOregon Health & Science UniversityPortlandOregonUSA
- Department of Behavioral NeuroscienceOregon Health & Science UniversityPortlandOregonUSA
| | - Eileen Oberwelland‐Weiss
- JARA Institute Molecular Neuroscience and Neuroimaging (INM‐11), Institute for Neuroscience and MedicineResearch Center JülichJulichGermany
- Translational Neuroscience, Child and Adolescent PsychiatryUniversity Hospital RWTH AachenAachenGermany
| | - Ruth L. O'Gorman Tuura
- Center for MR ResearchUniversity Children's HospitalZurichSwitzerland
- Zurich Center for Integrative Human Physiology (ZIHP)ZurichSwitzerland
| | - Kirsten O'Hearn
- Department of physiology and pharmacologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Jaap Oosterlaan
- Clinical Neuropsychology SectionVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Emma Children's Hospital Amsterdam Medical CenterAmsterdamThe Netherlands
| | - Mara Parellada
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of MedicineUniversidad ComplutenseMadridSpain
| | - Paul Pauli
- Department of Biological PsychologyClinical Psychology and PsychotherapyWürzburgGermany
| | - Kerstin J. Plessen
- Child and Adolescent Mental Health CentreCopenhagenDenmark
- Division of Child and Adolescent Psychiatry, Department of PsychiatryUniversity Hospital LausanneSwitzerland
| | - J. Antoni Ramos‐Quiroga
- Biomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
- Department of PsychiatryHospital Universitari Vall d'HebronBarcelonaSpain
- Group of Psychiatry, Addictions and Mental HealthVall d'Hebron Research InstituteBarcelonaSpain
- Department of Psychiatry and Forensic MedicineUniversitat Autonoma de BarcelonaBarcelonaSpain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyUniversity Hospital FrankfurtFrankfurtGermany
| | - Liesbeth Reneman
- Department of Radiology and Nuclear MedicineAmsterdam University Medical CentersAmsterdamThe Netherlands
- Brain Imaging CenterAmsterdam University Medical CentersAmsterdamThe Netherlands
| | | | - Pedro G. P. Rosa
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao PauloSao PauloBrazil
| | - Katya Rubia
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Philip Shaw
- National Human Genome Research InstituteBethesdaMarylandUSA
- National Institute of Mental HealthBethesdaMarylandUSA
| | - Tim J. Silk
- Murdoch Children's Research InstituteMelbourneVictoriaAustralia
- Deakin UniversitySchool of PsychologyGeelongAustralia
| | - Leanne Tamm
- Department of PediatricsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- College of MedicineUniversity of CincinnatiCincinnatiOhioUSA
| | - Oscar Vilarroya
- Department of Psychiatry and Forensic MedicineUniversitat Autonoma de BarcelonaBarcelonaSpain
- Hospital del Mar Medical Research Institute (IMIM)BarcelonaSpain
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and PsychotherapyPsychiatric Hospital, University of ZurichZurichSwitzerland
- The Neuroscience Center ZurichUniversity of Zurich and ETH ZurichZurichSwitzerland
| | - Neda Jahanshad
- Imaging Genetics CenterStevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Stephen V. Faraone
- Department of Psychiatry and of Neuroscience and PhysiologySUNY Upstate Medical UniversitySyracuseNew YorkUSA
| | - Clyde Francks
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Language & GeneticsMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - Odile A. van den Heuvel
- Department of Psychiatry, Department of Anatomy & NeurosciencesAmsterdam Neuroscience, Amsterdam UMC Amsterdam UMC, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology & PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Paul M. Thompson
- Imaging Genetics CenterStevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Jan K. Buitelaar
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceRadboud University Medical CenterNijmegenThe Netherlands
- Karakter child and adolescent psychiatry University CenterNijmegenThe Netherlands
| | - Barbara Franke
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
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5
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McWhinney SR, Abé C, Alda M, Benedetti F, Bøen E, Del Mar Bonnin C, Borgers T, Brosch K, Canales-Rodríguez EJ, Cannon DM, Dannlowski U, Díaz-Zuluaga AM, Elvsåshagen T, Eyler LT, Fullerton JM, Goikolea JM, Goltermann J, Grotegerd D, Haarman BCM, Hahn T, Howells FM, Ingvar M, Kircher TTJ, Krug A, Kuplicki RT, Landén M, Lemke H, Liberg B, Lopez-Jaramillo C, Malt UF, Martyn FM, Mazza E, McDonald C, McPhilemy G, Meier S, Meinert S, Meller T, Melloni EMT, Mitchell PB, Nabulsi L, Nenadic I, Opel N, Ophoff RA, Overs BJ, Pfarr JK, Pineda-Zapata JA, Pomarol-Clotet E, Raduà J, Repple J, Richter M, Ringwald KG, Roberts G, Salvador R, Savitz J, Schmitt S, Schofield PR, Sim K, Stein DJ, Stein F, Temmingh HS, Thiel K, van Haren NEM, Gestel HV, Vargas C, Vieta E, Vreeker A, Waltemate L, Yatham LN, Ching CRK, Andreassen O, Thompson PM, Hajek T. Association between body mass index and subcortical brain volumes in bipolar disorders-ENIGMA study in 2735 individuals. Mol Psychiatry 2021; 26:6806-6819. [PMID: 33863996 PMCID: PMC8760047 DOI: 10.1038/s41380-021-01098-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 08/25/2020] [Revised: 02/26/2021] [Accepted: 04/01/2021] [Indexed: 12/27/2022]
Abstract
Individuals with bipolar disorders (BD) frequently suffer from obesity, which is often associated with neurostructural alterations. Yet, the effects of obesity on brain structure in BD are under-researched. We obtained MRI-derived brain subcortical volumes and body mass index (BMI) from 1134 BD and 1601 control individuals from 17 independent research sites within the ENIGMA-BD Working Group. We jointly modeled the effects of BD and BMI on subcortical volumes using mixed-effects modeling and tested for mediation of group differences by obesity using nonparametric bootstrapping. All models controlled for age, sex, hemisphere, total intracranial volume, and data collection site. Relative to controls, individuals with BD had significantly higher BMI, larger lateral ventricular volume, and smaller volumes of amygdala, hippocampus, pallidum, caudate, and thalamus. BMI was positively associated with ventricular and amygdala and negatively with pallidal volumes. When analyzed jointly, both BD and BMI remained associated with volumes of lateral ventricles and amygdala. Adjusting for BMI decreased the BD vs control differences in ventricular volume. Specifically, 18.41% of the association between BD and ventricular volume was mediated by BMI (Z = 2.73, p = 0.006). BMI was associated with similar regional brain volumes as BD, including lateral ventricles, amygdala, and pallidum. Higher BMI may in part account for larger ventricles, one of the most replicated findings in BD. Comorbidity with obesity could explain why neurostructural alterations are more pronounced in some individuals with BD. Future prospective brain imaging studies should investigate whether obesity could be a modifiable risk factor for neuroprogression.
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Affiliation(s)
- Sean R McWhinney
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Francesco Benedetti
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Erlend Bøen
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Caterina Del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Tiana Borgers
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | | | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ana M Díaz-Zuluaga
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lisa T Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Desert-Pacific MIRECC, VA San Diego Healthcare, San Diego, CA, USA
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jose M Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Janik Goltermann
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Bartholomeus C M Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Fleur M Howells
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Martin Ingvar
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tilo T J Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | | | - Mikael Landén
- Department of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hannah Lemke
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Benny Liberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Ulrik F Malt
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Department of Neurology, University of Oslo, Oslo, Norway
| | - Fiona M Martyn
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Elena Mazza
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Sandra Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Elisa M T Melloni
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Roel A Ophoff
- UCLA Center for Neurobehavioral Genetics, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Julian A Pineda-Zapata
- Research Group, Instituto de Alta Tecnología Médica, Ayudas diagnósticas SURA, Medellín, Colombia
| | | | - Joaquim Raduà
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
- Institute of Psychiartry, King's College Londen, London, UK
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Maike Richter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Kai G Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Dan J Stein
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African MRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Henk S Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Katharina Thiel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Neeltje E M van Haren
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Holly Van Gestel
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Cristian Vargas
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Annabel Vreeker
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands
| | - Lena Waltemate
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Ole Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.
- National Institute of Mental Health, Klecany, Czech Republic.
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6
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Andlauer TFM, Mühleisen TW, Hoffstaedter F, Teumer A, Wittfeld K, Teuber A, Reinbold CS, Grotegerd D, Bülow R, Caspers S, Dannlowski U, Herms S, Hoffmann P, Kircher T, Minnerup H, Moebus S, Nenadić I, Teismann H, Völker U, Etkin A, Berger K, Grabe HJ, Nöthen MM, Amunts K, Eickhoff SB, Sämann PG, Müller-Myhsok B, Cichon S. Genetic factors influencing a neurobiological substrate for psychiatric disorders. Transl Psychiatry 2021; 11:192. [PMID: 33782385 DOI: 10.1038/s41398-021-01317-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 01/07/2021] [Accepted: 01/20/2021] [Indexed: 02/05/2023] Open
Abstract
A retrospective meta-analysis of magnetic resonance imaging voxel-based morphometry studies proposed that reduced gray matter volumes in the dorsal anterior cingulate and the left and right anterior insular cortex-areas that constitute hub nodes of the salience network-represent a common substrate for major psychiatric disorders. Here, we investigated the hypothesis that the common substrate serves as an intermediate phenotype to detect genetic risk variants relevant for psychiatric disease. To this end, after a data reduction step, we conducted genome-wide association studies of a combined common substrate measure in four population-based cohorts (n = 2271), followed by meta-analysis and replication in a fifth cohort (n = 865). After correction for covariates, the heritability of the common substrate was estimated at 0.50 (standard error 0.18). The top single-nucleotide polymorphism (SNP) rs17076061 was associated with the common substrate at genome-wide significance and replicated, explaining 1.2% of the common substrate variance. This SNP mapped to a locus on chromosome 5q35.2 harboring genes involved in neuronal development and regeneration. In follow-up analyses, rs17076061 was not robustly associated with psychiatric disease, and no overlap was found between the broader genetic architecture of the common substrate and genetic risk for major depressive disorder, bipolar disorder, or schizophrenia. In conclusion, our study identified that common genetic variation indeed influences the common substrate, but that these variants do not directly translate to increased disease risk. Future studies should investigate gene-by-environment interactions and employ functional imaging to understand how salience network structure translates to psychiatric disorder risk.
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7
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Zhao B, Ibrahim JG, Li Y, Li T, Wang Y, Shan Y, Zhu Z, Zhou F, Zhang J, Huang C, Liao H, Yang L, Thompson PM, Zhu H. Heritability of Regional Brain Volumes in Large-Scale Neuroimaging and Genetic Studies. Cereb Cortex 2020; 29:2904-2914. [PMID: 30010813 DOI: 10.1093/cercor/bhy157] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Revised: 06/11/2018] [Indexed: 12/20/2022] Open
Abstract
Brain genetics is an active research area. The degree to which genetic variants impact variations in brain structure and function remains largely unknown. We examined the heritability of regional brain volumes (P ~ 100) captured by single-nucleotide polymorphisms (SNPs) in UK Biobank (n ~ 9000). We found that regional brain volumes are highly heritable in this study population and common genetic variants can explain up to 80% of their variabilities (median heritability 34.8%). We observed omnigenic impact across the genome and examined the enrichment of SNPs in active chromatin regions. Principal components derived from regional volume data are also highly heritable, but the amount of variance in brain volume explained by the component did not seem to be related to its heritability. Heritability estimates vary substantially across large-scale functional networks, exhibit a symmetric pattern across left and right hemispheres, and are consistent in females and males (correlation = 0.638). We repeated the main analysis in Alzheimer's Disease Neuroimaging Initiative (n ~ 1100), Philadelphia Neurodevelopmental Cohort (n ~ 600), and Pediatric Imaging, Neurocognition, and Genetics (n ~ 500) datasets, which demonstrated that more stable estimates can be obtained from the UK Biobank.
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Affiliation(s)
- Bingxin Zhao
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joseph G Ibrahim
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tengfei Li
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yue Wang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yue Shan
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ziliang Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Fan Zhou
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jingwen Zhang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Chao Huang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Huiling Liao
- Department of Statistics, Texas A&M University, College Station, TX, USA
| | - Liuqing Yang
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Los Angeles, CA, USA
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
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8
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Littlejohns TJ, Holliday J, Gibson LM, Garratt S, Oesingmann N, Alfaro-Almagro F, Bell JD, Boultwood C, Collins R, Conroy MC, Crabtree N, Doherty N, Frangi AF, Harvey NC, Leeson P, Miller KL, Neubauer S, Petersen SE, Sellors J, Sheard S, Smith SM, Sudlow CLM, Matthews PM, Allen NE. The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions. Nat Commun 2020; 11:2624. [PMID: 32457287 PMCID: PMC7250878 DOI: 10.1038/s41467-020-15948-9] [Citation(s) in RCA: 236] [Impact Index Per Article: 59.0] [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] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 04/03/2020] [Indexed: 01/18/2023] Open
Abstract
UK Biobank is a population-based cohort of half a million participants aged 40-69 years recruited between 2006 and 2010. In 2014, UK Biobank started the world's largest multi-modal imaging study, with the aim of re-inviting 100,000 participants to undergo brain, cardiac and abdominal magnetic resonance imaging, dual-energy X-ray absorptiometry and carotid ultrasound. The combination of large-scale multi-modal imaging with extensive phenotypic and genetic data offers an unprecedented resource for scientists to conduct health-related research. This article provides an in-depth overview of the imaging enhancement, including the data collected, how it is managed and processed, and future directions.
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Affiliation(s)
| | - Jo Holliday
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lorna M Gibson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Department of Clinical Radiology, New Royal Infirmary of Edinburgh, Edinburgh, UK
| | | | | | - Fidel Alfaro-Almagro
- Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Jimmy D Bell
- Research Centre for Optimal Health, University of Westminster, London, UK
| | | | - Rory Collins
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Megan C Conroy
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Nicola Crabtree
- Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | | | - Alejandro F Frangi
- Department of Cardiovascular Sciences and Electrical Engineering, KU Leuven, Leuven, Belgium
- CISTIB Centre for Computational Imaging and Simulation Technologies in Biomedicine, Schools of Computing and Medicine, University of Leeds, Leeds, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Paul Leeson
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Karla L Miller
- Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Stefan Neubauer
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Steffen E Petersen
- William Harvey Research Institute, Queen Mary University of Medicine, London, UK
| | - Jonathan Sellors
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank Coordinating Centre, Stockport, UK
| | | | - Stephen M Smith
- Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Cathie L M Sudlow
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Paul M Matthews
- Department of Brain Sciences, Imperial College London and UK Dementia Research Institute, London, UK
| | - Naomi E Allen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
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9
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Firth JA, Smith L, Sarris J, Vancampfort D, Schuch F, Carvalho AF, Solmi M, Yung AR, Stubbs B, Firth J. Handgrip Strength Is Associated With Hippocampal Volume and White Matter Hyperintensities in Major Depression and Healthy Controls: A UK Biobank Study. Psychosom Med 2020; 82:39-46. [PMID: 31702599 DOI: 10.1097/PSY.0000000000000753] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVE Emerging evidence suggests that handgrip strength (a proxy for muscular fitness) is associated with better cognitive performance in people with major depressive disorder (MDD). The underlying processes are unclear, although hippocampal volume (HCV) reductions and white matter hyperintensities (WMHs) have been implicated. Therefore, we investigated the associations between handgrip strength and various brain region volumes and WMHs in MDD and healthy controls (HCs). METHODS This study is a cross-sectional analysis of handgrip strength and neuroimaging data from the UK Biobank. Generalized linear models were used to assess the relationship between grip strength and gray matter, white matter, total brain volume, left and right hippocampus volume, and WMHs in MDD and HCs, adjusting for age, sex, education, and body weight. RESULTS The sample included 527 people with MDD (54.3 ± 7.3 years, 37.2% male) and 1764 HCs (56.6 ± 7.2 years, 53% male). In MDD, stronger handgrip was significantly associated with increased left (coefficient ± SE = 108.1 ± 27.6, t = 3.92) and right (76.8 ± 30.4, t = 2.53) HCV. In HCs, only right HCV related to handgrip strength (44.8 ± 18.1, t = 2.47). Interaction analyses found stronger associations between grip strength and HCV in MDD compared with HCs, for both hippocampal regions. Stronger handgrip was associated with reduced WMHs in people with MDD (-0.24 ± 0.07, t = -3.24) and HCs (-0.11 ± 0.04, t = -2.47). Maximal handgrip strength was not associated with gray matter, white matter, or total brain volumes in either group. CONCLUSIONS Stronger grip strength is associated with greater left and right HCV and reduced WMHs in MDD. Future research should investigate directionality and consider if interventions targeting strength/muscular fitness can improve brain health and reduce the neurocognitive abnormalities associated with MDD.
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10
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Bagherzadeh-Azbari S, Khazaie H, Zarei M, Spiegelhalder K, Walter M, Leerssen J, Van Someren EJW, Sepehry AA, Tahmasian M. Neuroimaging insights into the link between depression and Insomnia: A systematic review. J Affect Disord 2019; 258:133-143. [PMID: 31401541 DOI: 10.1016/j.jad.2019.07.089] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Revised: 07/06/2019] [Accepted: 07/30/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Insomnia is a common symptom of Major Depressive Disorder (MDD) and genome-wide association studies pointed to their strong genetic association. Although the prevalence of insomnia symptoms in MDD is noticeable and evidence supports their strong bidirectional association, the number of available neuroimaging findings on patients of MDD with insomnia symptoms is limited. However, such neuroimaging studies could verily improve our understanding of their shared pathophysiology and advance corresponding theories. METHODS Based on the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guideline, we have conducted a literature search using PubMed, EMBASE, and Scopus databases and systematically explored 640 studies using various neuroimaging modalities in MDD patients with different degrees of insomnia symptoms. RESULTS Despite inconsistencies, current findings from eight studies suggested structural and functional disturbances in several brain regions including the amygdala, prefrontal cortex and anterior cingulate cortex and insula. The aberrant functional connectivity within and between the main hubs of the salience and default mode networks could potentially yield new insights into the link between MDD and insomnia, which needs further assessment. LIMITATIONS The number of studies reviewed herein is limited. The applied methods for assessing structural and functional neural mechanisms of insomnia and depression were variable. CONCLUSION Neuroimaging methods demonstrated the overlapping underlying neural mechanisms between MDD and insomnia. Future studies may facilitate better understanding of their pathophysiology to allow development of specific treatment.
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Affiliation(s)
- Shadi Bagherzadeh-Azbari
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mojtaba Zarei
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Centre - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Martin Walter
- Department of Psychiatry, University of Tübingen, Tübingen, Germany; Clinical Affective Neuroimaging Laboratory, Leibniz Institute for Neurobiology, Otto-von-Guericke University, Magdeburg, Germany
| | - Jeanne Leerssen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, Netherlands; Departments of Psychiatry and Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, Vrije Universtiteit Amsterdam, Amsterdam UMC, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, Netherlands; Departments of Psychiatry and Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, Vrije Universtiteit Amsterdam, Amsterdam UMC, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
| | - Amir A Sepehry
- Clinical and Counselling Psychology Program, Adler University, Vancouver, BC, Canada
| | - Masoud Tahmasian
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran.
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11
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Zhao B, Luo T, Li T, Li Y, Zhang J, Shan Y, Wang X, Yang L, Zhou F, Zhu Z, Zhu H. Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits. Nat Genet 2019; 51:1637-1644. [PMID: 31676860 PMCID: PMC6858580 DOI: 10.1038/s41588-019-0516-6] [Citation(s) in RCA: 122] [Impact Index Per Article: 24.4] [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] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Accepted: 09/23/2019] [Indexed: 12/19/2022]
Abstract
Volumetric variations of the human brain are heritable and are associated with many brain-related complex traits. Here we performed genome-wide association studies (GWAS) of 101 brain volumetric phenotypes using the UK Biobank sample including 19,629 participants. GWAS identified 365 independent genetic variants exceeding a significance threshold of 4.9 × 10-10, adjusted for testing multiple phenotypes. A gene-based association study found 157 associated genes (124 new), and functional gene mapping analysis linked 146 additional genes. Many of the discovered genetic variants and genes have previously been implicated in cognitive and mental health traits. Through genome-wide polygenic-risk-score prediction, more than 6% of the phenotypic variance (P = 3.13 × 10-24) in four other independent studies could be explained by the UK Biobank GWAS results. In conclusion, our study identifies many new genetic associations at the variant, locus and gene levels and advances our understanding of the pleiotropy and genetic co-architecture between brain volumes and other traits.
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Affiliation(s)
- Bingxin Zhao
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tianyou Luo
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tengfei Li
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jingwen Zhang
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Yue Shan
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Xifeng Wang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Liuqing Yang
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Fan Zhou
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ziliang Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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12
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Brown SSG, Rutland JW, Verma G, Feldman RE, Alper J, Schneider M, Delman BN, Murrough JM, Balchandani P. Structural MRI at 7T reveals amygdala nuclei and hippocampal subfield volumetric association with Major Depressive Disorder symptom severity. Sci Rep 2019; 9:10166. [PMID: 31308432 PMCID: PMC6629636 DOI: 10.1038/s41598-019-46687-7] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 07/03/2019] [Indexed: 12/20/2022] Open
Abstract
Subcortical volumetric changes in major depressive disorder (MDD) have been purported to underlie depressive symptomology, however, the evidence to date remains inconsistent. Here, we investigated limbic volumes in MDD, utilizing high-resolution structural images to allow segmentation of the hippocampus and amygdala into their constituent substructures. Twenty-four MDD patients and twenty matched controls underwent structural MRI at 7T field strength. All participants completed the Montgomery-Asberg Depression Rating Scale (MADRS) to quantify depressive symptomology. For the MDD group, volumes of the amygdala right lateral nucleus (p = 0.05, r2 = 0.24), left cortical nucleus (p = 0.032, r2 = 0.35), left accessory basal nucleus (p = 0.04, r2 = 0.28) and bilateral corticoamygdaloid transition area (right hemisphere p = 0.032, r2 = 0.38, left hemisphere p = 0.032, r2 = 0.35) each displayed significant negative associations with MDD severity. The bilateral centrocortical (right hemisphere p = 0.032, r2 = 0.31, left hemisphere p = 0.032, r2 = 0.32) and right basolateral complexes (p = 0.05, r2 = 0.24) also displayed significant negative relationships with depressive symptoms. Using high-field strength MRI, we report the novel finding that MDD severity is consistently negatively associated with amygdala nuclei, linking volumetric reductions with worsening depressive symptoms.
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Affiliation(s)
- S S G Brown
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
| | - J W Rutland
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - G Verma
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - R E Feldman
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - J Alper
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - M Schneider
- Mood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - B N Delman
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - J M Murrough
- Mood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, United States
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - P Balchandani
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
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13
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Klein M, Walters RK, Demontis D, Stein JL, Hibar DP, Adams HH, Bralten J, Roth Mota N, Schachar R, Sonuga-Barke E, Mattheisen M, Neale BM, Thompson PM, Medland SE, Børglum AD, Faraone SV, Arias-Vasquez A, Franke B. Genetic Markers of ADHD-Related Variations in Intracranial Volume. Am J Psychiatry 2019; 176:228-238. [PMID: 30818988 PMCID: PMC7780894 DOI: 10.1176/appi.ajp.2018.18020149] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Attention deficit hyperactivity disorder (ADHD) is a common and highly heritable neurodevelopmental disorder with a complex pathophysiology. Intracranial volume (ICV) and volumes of the nucleus accumbens, amygdala, caudate nucleus, hippocampus, and putamen are smaller in people with ADHD compared with healthy individuals. The authors investigated the overlap between common genetic variation associated with ADHD risk and these brain volume measures to identify underlying biological processes contributing to the disorder. METHODS The authors combined genome-wide association results from the largest available studies of ADHD (N=55,374) and brain volumes (N=11,221-24,704), using a set of complementary methods to investigate overlap at the level of global common variant genetic architecture and at the single variant level. RESULTS Analyses revealed a significant negative genetic correlation between ADHD and ICV (rg=-0.22). Meta-analysis of single variants revealed two significant loci of interest associated with both ADHD risk and ICV; four additional loci were identified for ADHD and volumes of the amygdala, caudate nucleus, and putamen. Exploratory gene-based and gene-set analyses in the ADHD-ICV meta-analytic data showed association with variation in neurite outgrowth-related genes. CONCLUSIONS This is the first genome-wide study to show significant genetic overlap between brain volume measures and ADHD, both on the global and the single variant level. Variants linked to smaller ICV were associated with increased ADHD risk. These findings can help us develop new hypotheses about biological mechanisms by which brain structure alterations may be involved in ADHD disease etiology.
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Affiliation(s)
- Marieke Klein
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Raymond K. Walters
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Ditte Demontis
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Jason L. Stein
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Derrek P. Hibar
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Hieab H. Adams
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Janita Bralten
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Nina Roth Mota
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Russell Schachar
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Edmund Sonuga-Barke
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Manuel Mattheisen
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Benjamin M. Neale
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Paul M. Thompson
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Sarah E. Medland
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Anders D. Børglum
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Stephen V. Faraone
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Alejandro Arias-Vasquez
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Barbara Franke
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
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14
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Besteher B, Squarcina L, Spalthoff R, Bellani M, Gaser C, Brambilla P, Nenadić I. Hippocampal Volume as a Putative Marker of Resilience or Compensation to Minor Depressive Symptoms in a Nonclinical Sample. Front Psychiatry 2019; 10:467. [PMID: 31354542 PMCID: PMC6639426 DOI: 10.3389/fpsyt.2019.00467] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [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: 02/06/2019] [Accepted: 06/13/2019] [Indexed: 01/20/2023] Open
Abstract
Case-control studies in major depression have established patterns of regional gray matter loss, including the hippocampus, which might show state-related effects dependent on disease stage. However, there is still limited knowledge on compensation effects that might occur in people resilient to depression showing only subclinical symptoms. We used voxel-based morphometry on a multicenter data set of 409 healthy nonclinical subjects to test the hypothesis that local hippocampal volume would be inversely correlated with subclinical depressive symptoms [Symptom Checklist 90-Revised (SCL-90-R) depression scores]. Our region-of-interest results show a significant (p = 0.042, FWE cluster-level corrected) positive correlation of SCL-90-R scores for depression and a left hippocampus cluster. Additionally, we provide an exploratory finding of gyrification, a surface-based morphometric marker, correlating with a right postcentral gyrus cluster [p = 0.031, family-wise error (FWE) cluster-level corrected]. Our findings provide first preliminary evidence of an inverse relationship for subjects in the absence of clinical depression and might thus point to processes related to compensation. Similar effects have been observed in remission from major depression and thus deserve further study to evaluate hippocampal volume not only as a state-dependent marker of disease but also of resilience.
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Affiliation(s)
- Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Letizia Squarcina
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Robert Spalthoff
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.,Department of Neurology, Jena University Hospital, Jena, Germany
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany.,Marburg University Hospital-UKGM, Marburg, Germany
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15
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Walton E, Hibar D, Yilmaz Z, Jahanshad N, Cheung J, Batury VL, Seitz J, Bulik CM, Thompson PM, Ehrlich S; PGC-ED., ENIGMA Genetics Working Group. Exploration of Shared Genetic Architecture Between Subcortical Brain Volumes and Anorexia Nervosa. Mol Neurobiol 2019; 56:5146-56. [PMID: 30519816 DOI: 10.1007/s12035-018-1439-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 11/05/2018] [Indexed: 12/22/2022]
Abstract
In MRI scans of patients with anorexia nervosa (AN), reductions in brain volume are often apparent. However, it is unknown whether such brain abnormalities are influenced by genetic determinants that partially overlap with those underlying AN. Here, we used a battery of methods (LD score regression, genetic risk scores, sign test, SNP effect concordance analysis, and Mendelian randomization) to investigate the genetic covariation between subcortical brain volumes and risk for AN based on summary measures retrieved from genome-wide association studies of regional brain volumes (ENIGMA consortium, n = 13,170) and genetic risk for AN (PGC-ED consortium, n = 14,477). Genetic correlations ranged from − 0.10 to 0.23 (all p > 0.05). There were some signs of an inverse concordance between greater thalamus volume and risk for AN (permuted p = 0.009, 95% CI: [0.005, 0.017]). A genetic variant in the vicinity of ZW10, a gene involved in cell division, and neurotransmitter and immune system relevant genes, in particular DRD2, was significantly associated with AN only after conditioning on its association with caudate volume (pFDR = 0.025). Another genetic variant linked to LRRC4C, important in axonal and synaptic development, reached significance after conditioning on hippocampal volume (pFDR = 0.021). In this comprehensive set of analyses and based on the largest available sample sizes to date, there was weak evidence for associations between risk for AN and risk for abnormal subcortical brain volumes at a global level (that is, common variant genetic architecture), but suggestive evidence for effects of single genetic markers. Highly powered multimodal brain- and disorder-related genome-wide studies are needed to further dissect the shared genetic influences on brain structure and risk for AN.
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16
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Gray JC, Owens MM, Hyatt CS, Miller JD. No evidence for morphometric associations of the amygdala and hippocampus with the five-factor model personality traits in relatively healthy young adults. PLoS One 2018; 13:e0204011. [PMID: 30235257 PMCID: PMC6147458 DOI: 10.1371/journal.pone.0204011] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [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] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 09/01/2018] [Indexed: 01/01/2023] Open
Abstract
Despite the important functional role of the amygdala and hippocampus in socioemotional functioning, there have been limited adequately powered studies testing how the structure of these regions relates to putatively relevant personality traits such as neuroticism. Additionally, recent advances in MRI analysis methods provide unprecedented accuracy in measuring these structures and enable segmentation into their substructures. Using the new FreeSurfer amygdala and hippocampus segmentation pipelines with the full Human Connectome Project sample (N = 1105), the current study investigated whether the morphometry of these structures is associated with the five-factor model (FFM) personality traits in a sample of relatively healthy young adults. Drawing from prior findings, the following hypotheses were tested: 1) amygdala and hippocampus gray matter volume would be associated with neuroticism, 2) CA2/3 and dentate gyrus would account for the relationship of the hippocampus with neuroticism, and 3) amygdala gray matter volume would be inversely associated with extraversion. Exploratory analyses were conducted investigating potential associations between all of the FFM traits and the structure of the hippocampus and amygdala and their subregions. Despite some previous positive findings of whole amygdala and hippocampus with personality traits and related psychopathology (e.g., depression), the current results indicated no relationships between the any of the brain regions and the FFM personality traits. Given the large sample and utilization of sophisticated analytic methodology, the current study suggests no association of amygdala and hippocampus morphometry with major domains of personality.
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Affiliation(s)
- Joshua C. Gray
- Department of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD, United States of America
- * E-mail:
| | - Max M. Owens
- Department of Psychology, University of Georgia, Athens, Georgia, United States of America
| | - Courtland S. Hyatt
- Department of Psychology, University of Georgia, Athens, Georgia, United States of America
| | - Joshua D. Miller
- Department of Psychology, University of Georgia, Athens, Georgia, United States of America
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17
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Abstract
BACKGROUND Recent genome-wide association studies (GWAS) of striatal volumes and bipolar disorder (BD) indicate these traits are heritable and share common genetic architecture, however little independent work has been conducted to help establish this relationship. METHODS Subcortical volumes (mm3) of young, healthy offspring of BD (N= 32) and major depressive disorder (MDD) patients (N= 158) were compared to larger healthy control sample (NRANGE= 925-1052) adjusting for potential confounds, using data from the latest release (S1200) of the Human Connectome Project. Based on recent GWAS findings, it was hypothesised that the accumbens and caudate would be smaller in offspring of BD, but not MDD patients. RESULTS After multiple comparison correction, there was a regional and BD specific relationship in the direction expected (Accumbens: F2,1067= 6.244, PFDR-CORRECTED= 0.014). DISCUSSION In line with recent GWAS, there was evidence supporting the hypothesis that reduced striatal volume may be part of the genetic risk for BD, but not MDD. LIMITATIONS It cannot be concluded whether this association was specific to BD or consistent with a broader psychosis phenotype, due to a small sample size for offspring of schizophrenia patients. Furthermore, one cannot rule out potential shared environmental influences of parental BD. CONCLUSIONS The common genetic architecture of BD may confer susceptibility via inherited genetic factors that affect striatal volume. Future work should establish how this relationship relates to specific BD symptomology. This work may also help to dissect clinical heterogeneity and improve diagnosis nosology.
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Affiliation(s)
- T M Lancaster
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF244HQ, UK; MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK.
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18
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Piel JH, Lett TA, Wackerhagen C, Plichta MM, Mohnke S, Grimm O, Romanczuk-Seiferth N, Degenhardt F, Tost H, Witt S, Nöthen M, Rietschel M, Heinz A, Meyer-Lindenberg A, Walter H, Erk S. The effect of 5-HTTLPR and a serotonergic multi-marker score on amygdala, prefrontal and anterior cingulate cortex reactivity and habituation in a large, healthy fMRI cohort. Eur Neuropsychopharmacol 2018; 28:415-427. [PMID: 29358097 DOI: 10.1016/j.euroneuro.2017.12.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [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: 07/18/2017] [Revised: 12/06/2017] [Accepted: 12/08/2017] [Indexed: 12/16/2022]
Abstract
Major depressive disorder (MDD) is characterized by low mood for at least two weeks. Impaired emotion regulation has been suggested to be the consequence of dysfunctional serotonergic regulation of limbic and prefrontal regions, especially the amygdala, the anterior cingulate cortex (ACC) and the prefrontal cortex (PFC). The impact of genetic variation on brain function can be investigated with intermediate phenotypes. A suggested intermediate phenotype of MDD is emotion recognition: The 5-HTTLPR polymorphism of SLC6A4 as well as other serotonergic genes have been associated with amygdala and prefrontal function during emotion recognition. Previously, it has been suggested that habituation is a more reliable index of emotion recognition than functional activation. We examined the relationship of genes involved in serotonergic signaling with amygdala as well as prefrontal functional activation and habituation during an emotion recognition task in 171 healthy subjects. While effects of 5-HTTLPR and of a serotonergic multi-marker score (5-HTTLPR, TPH1(rs1800532), TPH2(rs4570625), HTR1A(rs6295) and HTR2A(rs6311)) on amygdala activation did not withstand correction for multiple regions of interest, we observed a strong correlation of the multi-marker score and habituation in the amygdala, DLPFC, and ACC. We replicated a well-studied intermediate phenotype for association with 5-HTTLPR and provided additional evidence for polygenic involvement. Furthermore, we showed that task habituation may be influenced by genetic variation in serotonergic signaling, particularly by a serotonergic multi-marker score. We provided preliminary evidence that PFC activation is an important intermediate phenotype of MDD. Future studies are needed to corroborate the results in larger samples.
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Affiliation(s)
- J H Piel
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - T A Lett
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - C Wackerhagen
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - M M Plichta
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt, Germany
| | - S Mohnke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - O Grimm
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt, Germany
| | - N Romanczuk-Seiferth
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - F Degenhardt
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany; Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - H Tost
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - S Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - M Nöthen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany; Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - A Heinz
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - A Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - S Erk
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany.
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