Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
Daniel Benjamin, Meike Bartels, Philipp Koellinger and colleagues report a genome-wide association meta-analysis of subjective well-being, depressive symptoms and neuroticism. The study leverages a large sample size together with genetic correlations between the phenotypes to identify, with high con...
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| Published in: | IDEAS Working Paper Series from RePEc Vol. 48; no. 6; pp. 624 - 633 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article Paper |
| Language: | English |
| Published: |
New York
Nature Publishing Group US
01.06.2016
Nature Publishing Group Federal Reserve Bank of St. Louis |
| Subjects: | |
| ISSN: | 1061-4036, 1546-1718, 1546-1718 |
| Online Access: | Get full text |
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| Abstract | Daniel Benjamin, Meike Bartels, Philipp Koellinger and colleagues report a genome-wide association meta-analysis of subjective well-being, depressive symptoms and neuroticism. The study leverages a large sample size together with genetic correlations between the phenotypes to identify, with high confidence, loci associated with each phenotype.
Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (
n
= 298,420), depressive symptoms (
n
= 161,460), and neuroticism (
n
= 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|
ρ
^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association. |
|---|---|
| AbstractList | Daniel Benjamin, Meike Bartels, Philipp Koellinger and colleagues report a genome-wide association meta-analysis of subjective well-being, depressive symptoms and neuroticism. The study leverages a large sample size together with genetic correlations between the phenotypes to identify, with high confidence, loci associated with each phenotype.
Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (
n
= 298,420), depressive symptoms (
n
= 161,460), and neuroticism (
n
= 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|
ρ
^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association. Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (\textbarρ^\textbar ? 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association. Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes ([absolute value of [??]] ≅ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association. We conducted genome-wide association studies of three phenotypes: subjective well-being (N = 298,420), depressive symptoms (N = 161,460), and neuroticism (N = 170,910). We identified three variants associated with subjective well-being, two with depressive symptoms, and eleven with neuroticism, including two inversion polymorphisms. The two depressive symptoms loci replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ̂| ≈ 0.8) strengthen the overall credibility of the findings, and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal/pancreas tissues are strongly enriched for association. Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association. Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association. Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ|[asymptotically =] 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association. Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (vertical bar(p) over cap vertical bar approximate to 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association. |
| Audience | Academic |
| Author | Chang, Shun-Chiao Bültmann, Ute Kumari, Meena Paternoster, Lavinia Boomsma, Dorret I Eriksson, Johan G Meyer, Michelle N Räikkönen, Katri Frazier-Wood, Alexis C Kubzansky, Laura D Gudnason, Vilmundur Mihailov, Evelin Harris, Tamara B Bakshi, Andrew Direk, Nese Qian, Yong Amin, Najaf Garfield, Victoria Boyle, Patricia A van der Lee, Sven J Montgomery, Grant W Rietveld, Cornelius A Emeny, Rebecca T Fatemifar, Ghazaleh Pickrell, Joseph K Gupta, Richa Rudan, Igor Järvelin, Marjo-Riitta Stefansson, Kari Alizadeh, Behrooz Z Terracciano, Antonio Holliday, Elizabeth G Kardia, Sharon L R Smith, George Davey Pasterkamp, Gerard Pedersen, Nancy L Esko, Tõnu Vollenweider, Peter Wellmann, Juergen Kaprio, Jaakko Kraft, Peter Conley, Dalton C Cavadino, Alana Geisel, Marie Henrike Pulkki-Råback, Laura Trzaskowski, Maciej Hayward, Caroline Schmidt, Helena Haitjema, Saskia Bjornsdottir, Gyda Uitterlinden, André G Pattie, Alison Hinds, David A Vinkhuyzen, Anna E Johannesson, Magnus Gratten, Jacob Harris, Juliette M Davies, Gail Stergiakouli, Evie Wedenoja, Juho de |
| AuthorAffiliation | 23 Department of Epidemiology & Public Health, University College London, London WC1E 6BT, UK 133 Department of Psychiatry, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands 107 MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK 48 Department of Psychology, University of Tartu, Tartu 50409, Estonia 104 Department of Health Sciences, Community & Occupational Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9713 AV, The Netherlands 83 Department of Public Health, Faculty of Medicine, University of Split, Croatia, Split 21000, Croatia 132 Panteia, Zoetermeer, 2715 CA, The Netherlands 70 Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA 3 Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands 97 Neuroepidemiology and Ageing Research Unit, School of Public Health, Faculty of Medicine, Imperi |
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Chan School of Public Health, Boston, MA 02115, USA – name: 135 Department of Internal Medicine, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands – name: 27 CIBER Epidemiología y Salud Pública, Barcelona, Spain – name: 52 Icelandic Heart Association, Kopavogur, 201, Iceland – name: 99 Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA – name: 131 Montpellier Business School, Montpellier, 34080, France – name: 2 Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands – name: 19 Centre for Environmental and Preventive Medicine, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1M 6BQ, UK – name: 103 Unit of General Practice, University Central Hospital, Helsinki, Finland – name: 70 Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA – name: 93 Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL 32306, USA – name: 49 Department of Psychology, University of Warwick, CV4 7AL Coventry, UK – name: 100 Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, 9042, Italy – name: 124 Laboratory of Clinical Chemistry and Hematology, Division Laboratories and Pharmacy, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands – name: 33 Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki 00014, Finland – name: 106 Department of Psychiatry, University of Groningen, University Medical Center Groningen, 9700 RB, Groningen, The Netherlands – name: 115 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00014, Finland – name: 57 Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, 48149, Germany – name: 90 Department of Neuroscience, Karolinska Institutet, Retzius Väg 8 171 65 Stockholm, Sweden – name: 32 Folkhälsan Research Centre, Helsingfors, FI-00014, Finland – name: 9 Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands – name: 56 Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA, Torrence, 90505 CA, USA – name: 20 South Australian Health and Medical Research Institute, Adelaide, SA5000, Australia – name: 96 Lübeck Interdisciplinary platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Integrative & Experimental Genomics, University of Lübeck, Lübeck, 23562, Germany – name: 87 Department of Neurology, General Hospital and Medical University Graz, Graz, 8036, Austria – name: 105 Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands – name: 10 Amsterdam Business School, University of Amsterdam, Amsterdam, 1018 TV, The Netherlands – name: 15 COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, 2820, Denmark – name: 130 Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Frederiksberg, 2000, Denmark – name: 76 Program in Translational NeuroPsychiatric Genomics, Departments of Neurology & Psychiatry, Brigham and Women’s Hospital, Boston, MA 02115, USA – name: 1 Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, 3062 PA, Rotterdam, The Netherlands – name: 5 EMGO+ Institute for Health and Care Research, Amsterdam, 1081 BT, The Netherlands – name: 138 Department of Sociology, Princeton University, Wallace Hall, Princeton NJ, 08544 – name: 82 Center for Life Course Health Research, University of Oulu; Oulu University Hospital, Oulu, Finland – name: 34 Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia – name: 53 Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland – name: 72 Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany – name: 140 Department of Economics, Stockholm School of Economics, Stockholm, 113 83, Sweden – name: 25 Centre for Research in Environmental Epidemiology, Institute for Global Health, Barcelona, Spain – name: 126 Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22904, USA – name: 31 Institute of Behavioural Sciences, P.O. 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Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany – name: 61 LifeLines Cohort Study, University of Groningen, University Medical Center Groningen, Groningen, 9713 BZ, The Netherlands – name: 107 MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK – name: 42 Public Health Stream, Hunter Medical Research Institute, New Lambton, NSW 2305, Australia – name: 45 Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, 20521, Finland – name: 71 National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA – name: 51 Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland – name: 85 Neuroepidemiology Section, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892-9205, USA – name: 101 Department of General Practice and Primary Health Care, University of 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Stockholm, 171 77, Sweden – name: 17 Steno Diabetes Center, Gentofte, 2820, Denmark – name: 91 Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK |
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in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital, Harvard Medical School, Program in Medical and Population Genetics, Broad Institute of Harvard and MIT – sequence: 80 givenname: Marika A surname: Kaakinen fullname: Kaakinen, Marika A organization: Department of Genomics of Common Disease, Imperial College London, Center for Life Course Health Research, University of Oulu and Oulu University Hospital – sequence: 81 givenname: Eero surname: Kajantie fullname: Kajantie, Eero organization: Department of Pediatrics, University of Helsinki, National Institute for Health and Welfare – sequence: 83 givenname: Ivana surname: Kolcic fullname: Kolcic, Ivana organization: Department of Public Health, Faculty of Medicine, University of Split – sequence: 85 givenname: Lenore J surname: Launer fullname: Launer, Lenore J organization: Neuroepidemiology Section, National Institute on Aging, US National Institutes of Health – sequence: 86 givenname: Lude orcidid: 0000-0002-5159-8802 surname: Franke fullname: Franke, Lude organization: Department of Genetics, University Medical Center Groningen, University of Groningen – sequence: 87 givenname: Ruifang surname: Li-Gao fullname: Li-Gao, Ruifang organization: Clinical Epidemiology, Leiden University Medical Center – sequence: 89 givenname: Marisa surname: Koini fullname: Koini, Marisa organization: Department of Neurology, General Hospital and Medical University Graz – sequence: 90 givenname: Anu surname: Loukola fullname: Loukola, Anu organization: Department of Public Health, University of Helsinki – sequence: 92 givenname: Grant W surname: Montgomery fullname: Montgomery, Grant W organization: Molecular Epidemiology, QIMR Berghofer Medical Research Institute – sequence: 94 givenname: Lavinia surname: Paternoster fullname: Paternoster, Lavinia organization: MRC Integrative Epidemiology Unit, University of Bristol – sequence: 95 givenname: Alison surname: Pattie fullname: Pattie, Alison organization: Department of Psychology, University of Edinburgh – sequence: 96 givenname: Katja E surname: Petrovic fullname: Petrovic, Katja E organization: Department of Neurology, General Hospital and Medical University Graz – sequence: 97 givenname: Laura surname: Pulkki-Råback fullname: Pulkki-Råback, Laura organization: Institute of Behavioural Sciences, University of Helsinki, Helsinki Collegium for Advanced Studies, University of Helsinki – sequence: 98 givenname: Lydia surname: Quaye fullname: Quaye, Lydia organization: Department of Twin Research and Genetic Epidemiology, King's College London – sequence: 100 givenname: Igor orcidid: 0000-0001-6993-6884 surname: Rudan fullname: Rudan, Igor organization: Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh – sequence: 101 givenname: Rodney J surname: Scott fullname: Scott, Rodney J organization: Faculty of Health and Medicine, University of Newcastle, Information-Based Medicine Stream, Hunter Medical Research Institute – sequence: 105 givenname: Anna E surname: Vinkhuyzen fullname: Vinkhuyzen, Anna E organization: Queensland Brain Institute, University of Queensland – sequence: 107 givenname: Delilah surname: Zabaneh fullname: Zabaneh, Delilah organization: Department of Public Health, Faculty of Medicine, University of Split – sequence: 109 givenname: David A surname: Bennett fullname: Bennett, David A organization: Department of Neurological Sciences, Rush University Medical Center – sequence: 110 givenname: Klaus surname: Berger fullname: Berger, Klaus organization: Institute of Epidemiology and Social Medicine, University of Münster – sequence: 111 givenname: Lars surname: Bertram fullname: Bertram, Lars organization: Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institute of Neurogenetics and Institute of Integrative and Experimental Genomics, University of Lübeck, Neuroepidemiology and Ageing Research Unit, School of Public Health, Faculty of Medicine, Imperial College London – sequence: 112 givenname: Dorret I surname: Boomsma fullname: Boomsma, Dorret I organization: Department of Biological Psychology, Vrije Universiteit, EMGO+ Institute for Health and Care Research, Neuroscience Campus Amsterdam – sequence: 115 givenname: Francesco surname: Cucca fullname: Cucca, Francesco organization: Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, Cittadella Universitarià di Monserrato – sequence: 116 givenname: Ian J surname: Deary fullname: Deary, Ian J organization: Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Department of Psychology, University of Edinburgh – sequence: 117 givenname: Cornelia M surname: van Duijn fullname: van Duijn, Cornelia M organization: Department of Epidemiology, Erasmus Medical Center – sequence: 118 givenname: Johan G surname: Eriksson fullname: Eriksson, Johan G organization: Department of General Practice and Primary Health Care, University of Helsinki, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Unit of General Practice, University Central Hospital – sequence: 120 givenname: Eco J C orcidid: 0000-0001-6022-2666 surname: de Geus fullname: de Geus, Eco J C organization: Department of Biological Psychology, Vrije Universiteit, EMGO+ Institute for Health and Care Research, Neuroscience Campus Amsterdam – sequence: 124 givenname: Catharine A surname: Hartman fullname: Hartman, Catharine A organization: Department of Psychiatry, University of Groningen, University Medical Center Groningen – sequence: 126 givenname: Caroline surname: Hayward fullname: Hayward, Caroline organization: MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh – sequence: 128 givenname: David A surname: Hinds fullname: Hinds, David A organization: 23andMe, Inc – sequence: 130 givenname: William G surname: Iacono fullname: Iacono, William G organization: Department of Psychology, University of Minnesota Twin Cities – sequence: 133 givenname: Jaakko orcidid: 0000-0002-3716-2455 surname: Kaprio fullname: Kaprio, Jaakko organization: Department of Public Health, University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Department for Health, THL (National Institute for Health and Welfare) – sequence: 135 givenname: Liisa surname: Keltikangas-Järvinen fullname: Keltikangas-Järvinen, Liisa organization: Institute of Behavioural Sciences, University of Helsinki – sequence: 137 givenname: Laura D surname: Kubzansky fullname: Kubzansky, Laura D organization: Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health – sequence: 138 givenname: Terho surname: Lehtimäki fullname: Lehtimäki, Terho organization: Fimlab Laboratories, Department of Clinical Chemistry, University of Tampere, School of Medicine – sequence: 139 givenname: Patrik K E surname: Magnusson fullname: Magnusson, Patrik K E organization: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet – sequence: 146 givenname: Gerard surname: Pasterkamp fullname: Pasterkamp, Gerard organization: Laboratory of Experimental Cardiology, University Medical Center Utrecht, Division of Laboratories and Pharmacy, Laboratory of Clinical Chemistry and Hematology, University Medical Center Utrecht – sequence: 150 givenname: Christine surname: Power fullname: Power, Christine organization: South Australian Health and Medical Research Institute, Population, Policy and Practice, UCL Institute of Child Health – sequence: 151 givenname: Stephen S surname: Rich fullname: Rich, Stephen S organization: Department of Public Health Sciences, University of Virginia – sequence: 155 givenname: Helena surname: Schmidt fullname: Schmidt, Helena organization: Department of Neurology, General Hospital and Medical University Graz, Research Unit for Genetic Epidemiology, Institute of Molecular Biology and Biochemistry, Center of Molecular Medicine, General Hospital and Medical University Graz – sequence: 156 givenname: Rauli surname: Svento fullname: Svento, Rauli organization: Department of Economics, Oulu Business School – sequence: 157 givenname: Reinhold surname: Schmidt fullname: Schmidt, Reinhold organization: Department of Neurology, General Hospital and Medical University Graz – sequence: 159 givenname: Thorkild I A surname: Sørensen fullname: Sørensen, Thorkild I A organization: Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, MRC Integrative Epidemiology Unit, University of Bristol, Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, Capital Region – sequence: 162 givenname: Kari surname: Stefansson fullname: Stefansson, Kari organization: Faculty of Medicine, University of Iceland, deCODE Genetics/Amgen, Inc – sequence: 164 givenname: Antonio surname: Terracciano fullname: Terracciano, Antonio organization: National Institute on Aging, US National Institutes of Health, Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine – sequence: 168 givenname: Henning orcidid: 0000-0002-4395-1397 surname: Tiemeier fullname: Tiemeier, Henning organization: Department of Epidemiology, Erasmus Medical Center, Department of Psychiatry, Erasmus Medical Center, Department of Child and Adolescent Psychiatry, Erasmus Medical Center – sequence: 171 givenname: Gert G surname: Wagner fullname: Wagner, Gert G organization: Max Planck Institute for Human Development, German Socio-Economic Panel Study, DIW Berlin, School of Economics and Management, Berlin University of Technology – sequence: 173 givenname: Jian orcidid: 0000-0003-2001-2474 surname: Yang fullname: Yang, Jian organization: Queensland Brain Institute, University of Queensland, University of Queensland Diamantina Institute, Translational Research Institute – sequence: 175 givenname: George Davey surname: Smith fullname: Smith, George Davey organization: MRC Integrative Epidemiology Unit, University of Bristol – sequence: 176 givenname: Albert surname: Hofman fullname: Hofman, Albert organization: Department of Epidemiology, Erasmus Medical Center, Department of Epidemiology, Harvard T.H. Chan School of Public Health – sequence: 177 givenname: Magnus surname: Johannesson fullname: Johannesson, Magnus organization: Department of Economics, Stockholm School of Economics – sequence: 178 givenname: David I surname: Laibson fullname: Laibson, David I organization: Department of Economics, Harvard University – sequence: 180 givenname: Michelle N surname: Meyer fullname: Meyer, Michelle N organization: Department of Bioethics, Clarkson University, Icahn School of Medicine at Mount Sinai – sequence: 184 givenname: Jonathan P surname: Beauchamp fullname: Beauchamp, Jonathan P organization: Department of Economics, Harvard University – sequence: 185 givenname: Philipp D surname: Koellinger fullname: Koellinger, Philipp D email: p.d.koellinger@vu.nl organization: Erasmus University Rotterdam Institute for Behavior and Biology, Department of Complex Trait Genetics, Vrije Universiteit, Center for Neurogenomics and Cognitive Research, Amsterdam Business School, University of Amsterdam – sequence: 187 givenname: Meike surname: Bartels fullname: Bartels, Meike email: m.bartels@vu.nl organization: Department of Biological Psychology, Vrije Universiteit, EMGO+ Institute for Health and Care Research, Neuroscience Campus Amsterdam – sequence: 188 givenname: David surname: Cesarini fullname: Cesarini, David organization: Department of Economics, New York University, Research Institute for Industrial Economics |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27089181$$D View this record in MEDLINE/PubMed https://hal.science/hal-02017373$$DView record in HAL https://research.hhs.se/esploro/outputs/journalArticle/Genetic-variants-associated-with-subjective-well-being/991001480763206056$$DView record from Swedish Publication Index http://kipublications.ki.se/Default.aspx?queryparsed=id:133635855$$DView record from Swedish Publication Index (Karolinska Institutet) |
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| Copyright | Springer Nature America, Inc. 2016 COPYRIGHT 2016 Nature Publishing Group Copyright Nature Publishing Group Jun 2016 Copyright Federal Reserve Bank of St Louis 2016 licence_http://creativecommons.org/publicdomain/zero |
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| Snippet | Daniel Benjamin, Meike Bartels, Philipp Koellinger and colleagues report a genome-wide association meta-analysis of subjective well-being, depressive symptoms... Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective... We conducted genome-wide association studies of three phenotypes: subjective well-being (N = 298,420), depressive symptoms (N = 161,460), and neuroticism (N =... |
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| SubjectTerms | 45/43 631/208/1515 631/208/205/2138 Agriculture Animal Genetics and Genomics Anxiety Disorders - genetics Bayes Theorem Behavior Biomedicine Cancer Research Central nervous system Consortia Depression - genetics Depression, Mental Epidemiology Gene Function Genetic aspects Genetic variance Genetic variation Genome-wide association studies Genome-Wide Association Study Genomes Human Genetics Humans Identification and classification Mental depression Meta-analysis Methods Neuroticism Personality Phenotype Polymorphism, Single Nucleotide Psychological aspects Quality control Quantitative Finance Risk factors Social sciences Statistics Studies |
| Title | Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses |
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