Interaction between the gene, body mass index and depression: meta-analysis of 13701 individuals.

Br J Psychiatry 2017 08 22;211(2):70-76. Epub 2017 Jun 22.

Margarita Rivera, PhD, Department of Biochemistry and Molecular Biology II and Institute of Neurosciences, Center for Biomedical Research, University of Granada, Granada, Spain, and MRC Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, Kinǵs College London, UK; Adam E. Locke, PhD, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA; Tanguy Corre, PhD, Department of Medical Genetics, University of Lausanne, Lausanne, and Swiss Institute of Bioinformatics, Lausanne, Switzerland; Darina Czamara, PhD, Christiane Wolf, PhD, Max Planck Institute of Psychiatry, Munich, Germany; Ana Ching-Lopez, Department of Psychiatry, School of Medicine, University of Granada, and Institute of Neurosciences Federico Olóriz, Centra de Investigación Biomédica, University of Granada, Spain; Yuri Milaneschi, PhD, Department of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center/GGZ in Geest, Amsterdam, The Netherlands; Stefan Kloiber, MD, Max Planck Institute of Psychiatry, Munich, Germany; Sara Cohen-Woods, PhD, School of Psychology, Flinders University, Adelaide, South Australia, Australia; James Rucker, MD, PhD, MRC Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Katherine J. Aitchison, MD, PhD, Department of Psychiatry, University of Alberta, Alberta, Canada; Sven Bergmann, PhD, Department of Medical Genetics, University of Lausanne, Lausanne, and Swiss Institute of Bioinformatics, Lausanne, Switzerland; Dorret I. Boomsma, PhD, Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands; Nick Craddock, MB, PhD, FMedSci, Department of Psychological Medicine and Neurology, Cardiff University School of Medicine, Henry Wellcome Building, Cardiff, UK; Michael Gill, MD, Department of Psychiatry, Trinity Centre for Health Sciences, Dublin 8, Ireland; Florian Holsboer, MD, PhD, Max Planck Institute of Psychiatry, Munich, Germany; Jouke-Jan Hottenga, PhD, Department of Psychiatry, University of Alberta, Alberta, Canada; Ania Korszun, PhD, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK; Zoltan Kutalik, PhD, Department of Medical Genetics, University of Lausanne, Lausanne, and Swiss Institute of Bioinformatics, Lausanne, Switzerland; Susanne Lucae, MD, PhD, Max Planck Institute of Psychiatry, Munich, Germany; Wolfgang Maier, MD, Department of Psychiatry, University of Bonn, Bonn, Germany; Ole Mors, MD, PhD, Research Department P, Aarhus University Hospital, Risskov, Denmark; Bertram Müller-Myhsok MD, Max Planck Institute of Psychiatry, Munich, Germany; Michael J. Owen, MB, PhD, FMedSci, MRC Centre for Neuropsychiatry Genetics and Genomics, Department of Psychological Medicine and Neurology, School of Medicine, Cardiff University, Cardiff, UK; Brenda W. J. H. Penninx, PhD, Department of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center/GGZ in Geest, Amsterdam, The Netherlands; Martin Preisig, MD, Department of Psychiatry, Lausanne University Hospital, 1008 Prilly-Lausanne, Switzerland; John Rice, PhD, Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA; Marcella Rietschel, MD, Central Institute of Mental Health, Mannheim, Germany; Federica Tozzi, MD, Genetics Division, Drug Discovery, GlaxoSmithKline Research and Development, Verona, Italy; Rudolf Uher, MD, PhD, MRC Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK, and Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; Peter Vollenweider, MD, PhD, Gerard Waeber, MD, PhD, Division of Internal Medicine, CHUV, Lausanne, Switzerland; Gonneke Willemsen, PhD, Department of Psychiatry, University of Alberta, Alberta, Canada; Ian W. Craig, PhD, Anne E. Farmer, MD, MRC Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Cathryn M. Lewis, PhD, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, and Department of Medical and Molecular Genetics, School of Medicine, King's College London, UK; Gerome Breen, PhD, Peter McGuffin, MB, PhD, FMedSci, MRC Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK.

Depression and obesity are highly prevalent, and major impacts on public health frequently co-occur. Recently, we reported that having depression moderates the effect of the gene, suggesting its implication in the association between depression and obesity.To confirm these findings by investigating the polymorphism rs9939609 in new cohorts, and subsequently in a meta-analysis.The sample consists of 6902 individuals with depression and 6799 controls from three replication cohorts and two original discovery cohorts. Linear regression models were performed to test for association between rs9939609 and body mass index (BMI), and for the interaction between rs9939609 and depression status for an effect on BMI. Fixed and random effects meta-analyses were performed using METASOFT.In the replication cohorts, we observed a significant interaction between , BMI and depression with fixed effects meta-analysis (β = 0.12, = 2.7 × 10) and with the Han/Eskin random effects method ( = 1.4 × 10) but not with traditional random effects (β = 0.1, = 0.35). When combined with the discovery cohorts, random effects meta-analysis also supports the interaction (β = 0.12, = 0.027) being highly significant based on the Han/Eskin model ( = 6.9 × 10). On average, carriers of the risk allele who have depression have a 2.2% higher BMI for each risk allele, over and above the main effect of This meta-analysis provides additional support for a significant interaction between , depression and BMI, indicating that depression increases the effect of on BMI. The findings provide a useful starting point in understanding the biological mechanism involved in the association between obesity and depression.

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http://dx.doi.org/10.1192/bjp.bp.116.183475DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537566PMC
August 2017
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