Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

Journal: Nature Neuroscience

Published: 2019-02-04

DOI: 10.1038/s41593-018-0326-7

Affiliations: 21

Authors: 38

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Institutions FC
Division of Psychiatry, The University of Edinburgh, United Kingdom (UK) 0.17
Royal Edinburgh Hospital, United Kingdom (UK) 0.17
Institute of Epidemiology and Social Medicine, WWU, Germany 0.08
Queensland Brain Institute (QBI), UQ, Australia 0.08
23andMe, Inc., United States of America (USA) 0.05
Department of Psychiatry and Psychotherapy, WWU, Germany 0.05
Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE), The University of Edinburgh, United Kingdom (UK) 0.05
Institute of Health and Wellbeing, University of Glasgow, United Kingdom (UK) 0.05
NIHR Maudsley Biomedical Research Centre (BRC), United Kingdom (UK) 0.05
MRC Centre for Social, Genetic and Developmental Psychiatry (SGDP), KCL, United Kingdom (UK) 0.05
Department of Psychology, The University of Edinburgh, United Kingdom (UK) 0.04
Centre for Genomic and Experimental Medicine (CGEM), United Kingdom (UK) 0.03
MRC Integrative Epidemiology Unit (IEU), UoB, United Kingdom (UK) 0.03
Department of Psychiatry, UniMelb, Australia 0.03
Department of Psychiatry and Psychotherapy, Uni Freiburg, Germany 0.03
Charité Department of Psychiatry and Psychotherapy, Germany 0.01
Program in Medical and Population Genetics, Broad Institute, United States of America (USA) 0.01
Analytic and Translational Genetics Unit (ATGU), MGH, United States of America (USA) 0.01
Department of Medical Epidemiology and Biostatistics (MEB), KI, Sweden 0.01
UNC Department of Genetics, United States of America (USA) 0.01
UNC Department of Psychiatry, United States of America (USA) 0.01

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