The genetic association between personality and major depression or bipolar disorder. A polygenic score analysis using genome-wide association data
Year: 2011
Type: article
Study design: Observational Study
Abstract: The relationship between major depressive disorder (MDD) and bipolar disorder (BD) remains controversial. Previous research has reported differences and similarities in risk factors for MDD and BD, such as predisposing personality traits. For example, high neuroticism is related to both disorders, whereas openness to experience is specific for BD. This study examined the genetic association between personality and MDD and BD by applying polygenic scores for neuroticism, extraversion, openness to experience, agreeableness and conscientiousness to both disorders. Polygenic scores reflect the weighted sum of multiple single-nucleotide polymorphism alleles associated with the trait for an individual and were based on a meta-analysis of genome-wide association studies for personality traits including 13,835 subjects. Polygenic scores were tested for MDD in the combined Genetic Association Information Network (GAIN-MDD) and MDD2000+ samples (N=8921) and for BD in the combined Systematic Treatment Enhancement Program for Bipolar Disorder and Wellcome Trust Case-Control Consortium samples (N=6329) using logistic regression analyses. At the phenotypic level, personality dimensions were associated with MDD and BD. Polygenic neuroticism scores were significantly positively associated with MDD, whereas polygenic extraversion scores were significantly positively associated with BD. The explained variance of MDD and BD, ∼0.1%, was highly comparable to the variance explained by the polygenic personality scores in the corresponding personality traits themselves (between 0.1 and 0.4%). This indicates that the proportions of variance explained in mood disorders are at the upper limit of what could have been expected. This study suggests shared genetic risk factors for neuroticism and MDD on the one hand and for extraversion and BD on the other.
Source: Translational Psychiatry
DOI: 10.1038/tp.2011.45
Authors: C M Middeldorp, M H M de Moor, L M McGrath, S D Gordon, D H Blackwood, P T Costa, A Terracciano, R F Krueger, E J C de Geus, D R Nyholt, T Tanaka, T Esko, P A F Madden, J Derringer, N Amin, G Willemsen, J-J Hottenga, M A Distel, M Uda, S Sanna, P Spinhoven, C A Hartman, S Ripke, P F Sullivan, A Realo, J Allik, A C Heath, M L Pergadia, A Agrawal, P Lin, R A Grucza, E Widen, D L Cousminer, J G Eriksson, A Palotie, J H Barnett, P H Lee, M Luciano, A Tenesa, G Davies, L M Lopez, N K Hansell, S E Medland, L Ferrucci, D Schlessinger, G W Montgomery, M J Wright, Y S Aulchenko, A C J W Janssens, B A Oostra, A Metspalu, G R Abecasis, I J Deary, K Räikkönen, L J Bierut, N G Martin, N R Wray, C M van Duijn, J W Smoller, B W J H Penninx, D I Boomsma
Institutions: Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Massachusetts General Hospital, QIMR Berghofer Medical Research Institute, Royal Edinburgh Hospital, University of Edinburgh, National Institute on Aging, University of Minnesota, Estonian Biocentre, University of Tartu, Washington University in St. Louis, Erasmus MC, Amsterdam Public Health, Amsterdam UMC Location Vrije Universiteit Amsterdam, Leiden University, University Medical Center Groningen, Broad Institute, University of North Carolina at Chapel Hill, University of Helsinki, Institute for Molecular Medicine Finland, Helsinki University Hospital, Finnish Institute for Health and Welfare, Vaasa Central Hospital, Folkhälsans Forskningscentrum, Wellcome Sanger Institute, University of Cambridge, Western General Hospital, Institute of Genetics and Cancer, MRC Human Genetics Unit, University of Michigan
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $5,290
Funders: State University of New York, Washington University in St. Louis, University of Connecticut, Johns Hopkins University, Virginia Commonwealth University, Wellcome Trust, QIMR Berghofer Medical Research Institute, European Commission, European Science Foundation, University of Edinburgh, University of Glasgow, ZonMw, Academy of Finland, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Centre for Medical Systems Biology, Centre for Cognitive Ageing and Cognitive Epidemiology, National Institutes of Health, Directorate for Biological Sciences, U.S. Public Health Service, SUNY Downstate Medical Center, Medical Research Council, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council, Economic and Social Research Council, Australian Research Council, National Health and Medical Research Council, European Regional Development Fund, National Institute on Alcohol Abuse and Alcoholism, National Institute on Aging, National Institute of Mental Health, National Institute on Drug Abuse, National Human Genome Research Institute, National Cancer Institute
Awards: G1077033501, G1083756078, G1140801657, G1187501382, G1207839733, G1239988772, G1270179341, DETECTING SUSCEPTIBILITY LOCI FOR RECURRENT DEPRESSION, G1335377886, The Genetics of Vulnerability to Nicotine Addictions, G1398898637, G1409398652, G1425089079, G1438682972, G1449130676, G1498473677, G1583026501, G16286648, G1663676665, G1699664373, Validation and Replication of Genes Associated with Common Human Disease Using Australian Twin Families, G1738478728, G178382592, Using Genetics to Dissect Schizhoprenia, Bipolar Disorder, and Depression, G1921953589, G214182253, G2146332128, G2238725043, G2268797580, G2328879485, G238373470, G2561471519, G2563833389, Study of Addiction: Genetics and Environment, G2846234905, G3077543175, G3199409182, G3227761751, G3245180032, G3368366672, MARC: Genetic Epidemiology of Alcoholism & Comorbidity, G3510566023, G3548961933, G3619332945, G363841575, Identification of genetic risk factors for asthma: genome-wide association and the role of epigenetics, G3728971702, G3785373358, G3799582765, G3845816541, G3862454230, G3865460896, G3962587703, Genome-wide combined linkage-association scan of multiply phenotyped twin sibships, Pigmentation genes and melanoma risk, G412057792, G4174427447, G425717312, G4432291, GENETIC AND EPIDEMIOLOGICAL MODELS OF ALCOHOL ABUSE, G4471409110, Genetics and prediction of complex disease risk, G4503763930, G452292490, Genome Wide Association Coordinating Center, G4599390081, Association Screen of Migraine Candidate Genes, G4641403149, European Network for Genetic and Genomic Epidemiology, G4775479183, Molecular Epidemiology of Alcoholism 1: Candidate Gene, Towards an understanding of the causes of comorbidity of psychiatric disorders, G5113003846, G5176409192, G5184311545, G5198194494, Unlocking the European Union convergence region potential in genetics, G5418186242, G5424457750, G5483271793, Mapping Genes for typical migraine using twin families., G5602389028, Biomedical Training in Alcoholism Research, G5802200490, G605447939, G6091493096, G6129226368, Basic Research in Personality: Molecular Genetics of Personality, G6134854566, G616188461, G6388600142, Genetics of moliness, FAMILY STUDY OF COCAINE DEPENDENCE, G6728033037, Develop & improve methodology in gene mapping, targetting localisation of genes underlying migraine & other disorders, G6837203315, Uncoupled Research Fellowship, G6899335511, Genetics of moliness, G6994344002, G7002240042, G70080636, A genome-wide association study of non-pathological cognitive ageing, G7047943440, G7093047072, G7219708928, More efficient statistical methods for gene-mapping, G7423759087, G746875028, G7522350138, G7755649354, G7780068114, G7836598383, G7843020198, G7857206400, G822877548, G8267674335, G836522160, G8471761114, G8547141348, PERSISTENCE AND CHANGE IN DRINKING HABITS--TWIN STUDY, G856913103, Examining stakeholder engagement about bio-banking, and if and how the concept of social licence maybe useful: The KEMRI-Wellcome Trust Research Programme (KWTRP) as a case study, G858805679, Biobanking and Biomolecular Resources Research Infrastructure, G8875584939, G88852782, G8924909668, Statistical Methods and Algorithms for Analysis of High-throughput Genetics and Genomics Platforms, The genetics of weight, BMI, adiposity and obesity, G9000013851, G9000024769, G9000025954, G9000054071, G9000072531, G9000093746, G9000122333, G9000134904, G9000144655, G9000176579, G9000204396, G9000243987, G902688188, G961365294, G977574824
OpenAlex ID: W2102825724