50 results on '"SMITH, DANIEL A."'
Search Results
2. Longitudinal Relations among Adolescent Risk Behavior, Family Cohesion, Violence Exposure, and Mental Health in a National Sample
- Author
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Goodrum, Nada M., Smith, Daniel W., Hanson, Rochelle F., Moreland, Angela D., Saunders, Benjamin E., and Kilpatrick, Dean G.
- Published
- 2020
- Full Text
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3. Depression and anxiety among people living with and beyond cancer: a growing clinical and research priority
- Author
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Niedzwiedz, Claire L., Knifton, Lee, Robb, Kathryn A., Katikireddi, Srinivasa Vittal, and Smith, Daniel J.
- Published
- 2019
- Full Text
- View/download PDF
4. Association of polygenic score for major depression with response to lithium in patients with bipolar disorder
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Amare, Azmeraw T., Schubert, Klaus Oliver, Hou, Liping, Clark, Scott R., Papiol, Sergi, Cearns, Micah, Heilbronner, Urs, Degenhardt, Franziska, Tekola-Ayele, Fasil, Hsu, Yi Hsiang, Shekhtman, Tatyana, Adli, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean Michel, Backlund, Lena, Bhattacharjee, Abesh Kumar, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna M., Birner, Armin, Brichant-Petitjean, Clara, Cervantes, Pablo, Chen, Hsi Chung, Chillotti, Caterina, Cichon, Sven, Cruceanu, Cristiana, Czerski, Piotr M., Dalkner, Nina, Dayer, Alexandre, Del Zompo, Maria, DePaulo, J. Raymond, Étain, Bruno, Jamain, Stephane, Falkai, Peter, Forstner, Andreas J., Frisen, Louise, Frye, Mark A., Fullerton, Janice M., Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Grof, Paul, Hashimoto, Ryota, Hauser, Joanna, Herms, Stefan, Hoffmann, Per, Hofmann, Andrea, Jiménez, Esther, Kahn, Jean Pierre, Kassem, Layla, Kuo, Po Hsiu, Kato, Tadafumi, Kelsoe, John R., Kittel-Schneider, Sarah, Kliwicki, Sebastian, König, Barbara, Kusumi, Ichiro, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Tortorella, Alfonso, Manchia, Mirko, Martinsson, Lina, McCarthy, Michael J., McElroy, Susan L., Colom, Francesc, Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Nöthen, Markus M., Novák, Tomas, O’Donovan, Claire, Ozaki, Norio, Ösby, Urban, Pfennig, Andrea, Potash, James B., Reif, Andreas, Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F.M., Bacanu, Silviu Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T.F., Bigdeli, Tim B., Binder, Elisabeth B., Blackwood, Douglas H.R., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane varregaard, Clarke, Toni Kim, Coleman, Jonathan R.I., Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Deary, Ian J., Derks, Eske M., Direk, Nese, Dolan, Conor V., Dunn, Erin C., Eley, Thalia C., Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Gordon, Scott D., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Hickie, Ian B., Homuth, Georg, Horn, Carsten, Hottenga, Jouke Jan, Hougaard, David M., Ising, Marcus, Jansen, Rick, Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Krogh, Jesper, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Montgomery, Grant W., Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O’Reilly, Paul F., Oskarsson, Hogni, Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E., Pettersson, Erik, Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C.B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T., Berger, Klaus, Boomsma, Dorret I., Dannlowski, Udo, de Geus, E. J.C., Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Kendler, Kenneth S., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela A.F., Magnusson, Patrik K., Martin, Nicholas G., McIntosh, Andrew M., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, O’Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Penninx, Brenda W.J.H., Perlis, Roy H., Porteous, David J., Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Lewis, Cathryn M., Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., Reininghaus, Eva, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schweizer, Barbara W., Severino, Giovanni, Shilling, Paul D., Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Maj, Mario, Turecki, Gustavo, Vieta, Eduard, Veeh, Julia, Wright, Adam, Zandi, Peter P., Mitchell, Philip B., Bauer, Michael, Alda, Martin, McMahon, Francis J., APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Reproduction & Development (AR&D), Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Human genetics, APH - Digital Health, APH - Methodology, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Jamain, Stéphane, University of Adelaide, South Australian Health and Medical Research Institute [ Adelaide] (SAHMRI), Mental Health Services [Adelaide, SA, Australia], National Institute of Mental Health (NIMH), Ludwig Maximilian University [Munich] (LMU), Georg-August-University = Georg-August-Universität Göttingen, Institut für Genetik - Universität Bonn / Institute of Genetics - University of Bonn, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Harvard Medical School [Boston] (HMS), Harvard School of Public Health, University of California [San Diego] (UC San Diego), University of California (UC), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Dokkyo Medical University, Università degli Studi di Cagliari = University of Cagliari (UniCa), Universitat Autònoma de Barcelona (UAB), Centro de Investigación Biomédica en Red de Salud Mental [Barcelona, Spain] (CIBERSAM), Hospital Sant Joan de Déu [Barcelona], Geneva University Hospital (HUG), Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona (UB), Karl-Franzens-Universität Graz, Mayo Clinic [Rochester], McGill University Health Center [Montreal] (MUHC), National Taiwan University [Taiwan] (NTU), University Hospital Basel [Basel], Poznan University of Medical Sciences [Poland] (PUMS), Johns Hopkins University (JHU), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Fondation FondaMental [Créteil], IMRB - 'Neuropsychiatrie translationnelle' [Créteil] (U955 Inserm - UPEC), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), University of Basel (Unibas), Neuroscience Research Australia [Sydney, NSW, Australia] (NRA), University of New South Wales [Sydney] (UNSW), Psychiatrie de l'enfant et de l'adolescent [CH C. Perrens, Bordeaux], SECOP - centre hospitalier Charles Perrens, Dalhousie University [Halifax], 'Prof. Dr. Alexandru Obregia' Clinical Hospital of Psychiatry [Bucharest, Romania], Mood Disorders Center of Ottawa (MDCO), University of Ottawa [Ottawa], Osaka University [Osaka], Graduate School of Medicine [Osaka], Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Psychiatrie et Psychologie Clinique de Liaison [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre Psychothérapique de Nancy (CPN), National Institutes of Health [Bethesda] (NIH), Environmental Molecular Biology Laboratory (RIKEN), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Goethe-University Frankfurt am Main, Landesklinikum Neunkirchen (LK Neunkirchen), Hokkaido University Graduate School of Medicine [Sapporo, Japan], Sahlgrenska Academy at University of Gothenburg [Göteborg], Research Service VA San Diego Healthcare System, Università degli Studi di Perugia = University of Perugia (UNIPG), University of Cincinnati (UC), IMIM-Hospital del Mar, Generalitat de Catalunya, Max Planck Institute of Experimental Medicine [Göttingen] (MPI), Max-Planck-Gesellschaft, University of Salerno (UNISA), University of the Study of Campania Luigi Vanvitelli, National Institute of Mental Health [Klecany, Czech Republic] (NIMH), Nagoya University Graduate School of Medicine [Japon], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Medical University Graz, Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada], Sigmund Freud University (SFU), Douglas Mental Health University Institute [Montréal], University of Heidelberg, Medical Faculty, Black Dog Institute [Sydney, Australia], Johns Hopkins Bloomberg School of Public Health [Baltimore], Westfälische Wilhelms-Universität Münster = University of Münster (WWU), Melbourne Medical School [Melbourne], Faculty of Medicine, Dentistry and Health Sciences [Melbourne], University of Melbourne-University of Melbourne, The Florey Institute of Neuroscience and Mental Health [Parkville, VIC, Australie], University of Melbourne, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium: Naomi R Wray, Stephan Ripke, Manuel Mattheisen, Maciej Trzaskowski, Enda M Byrne, Abdel Abdellaoui, Mark J Adams, Esben Agerbo, Tracy M Air, Till F M Andlauer, Silviu-Alin Bacanu, Marie Bækvad-Hansen, Aartjan T F Beekman, Tim B Bigdeli, Elisabeth B Binder, Douglas H R Blackwood, Julien Bryois, Henriette N Buttenschøn, Jonas Bybjerg-Grauholm, Na Cai, Enrique Castelao, Jane Varregaard Christensen, Toni-Kim Clarke, Jonathan R I Coleman, Lucía Colodro-Conde, Baptiste Couvy-Duchesne, Nick Craddock, Gregory E Crawford, Gail Davies, Ian J Deary, Franziska Degenhardt, Eske M Derks, Nese Direk, Conor V Dolan, Erin C Dunn, Thalia C Eley, Valentina Escott-Price, Farnush Farhadi Hassan Kiadeh, Hilary K Finucane, Andreas J Forstner, Josef Frank, Héléna A Gaspar, Michael Gill, Fernando S Goes, Scott D Gordon, Jakob Grove, Lynsey S Hall, Christine Søholm Hansen, Thomas F Hansen, Stefan Herms, Ian B Hickie, Per Hoffmann, Georg Homuth, Carsten Horn, Jouke-Jan Hottenga, David M Hougaard, Marcus Ising, Rick Jansen, Eric Jorgenson, James A Knowles, Isaac S Kohane, Julia Kraft, Warren W Kretzschmar, Jesper Krogh, Zoltán Kutalik, Yihan Li, Penelope A Lind, Donald J MacIntyre, Dean F MacKinnon, Robert M Maier, Wolfgang Maier, Jonathan Marchini, Hamdi Mbarek, Patrick McGrath, Peter McGuffin, Sarah E Medland, Divya Mehta, Christel M Middeldorp, Evelin Mihailov, Yuri Milaneschi, Lili Milani, Francis M Mondimore, Grant W Montgomery, Sara Mostafavi, Niamh Mullins, Matthias Nauck, Bernard Ng, Michel G Nivard, Dale R Nyholt, Paul F O'Reilly, Hogni Oskarsson, Michael J Owen, Jodie N Painter, Carsten Bøcker Pedersen, Marianne Giørtz Pedersen, Roseann E Peterson, Erik Pettersson, Wouter J Peyrot, Giorgio Pistis, Danielle Posthuma, Jorge A Quiroz, Per Qvist, John P Rice, Brien P Riley, Margarita Rivera, Saira Saeed Mirza, Robert Schoevers, Eva C Schulte, Ling Shen, Jianxin Shi, Stanley I Shyn, Engilbert Sigurdsson, Grant C B Sinnamon, Johannes H Smit, Daniel J Smith, Hreinn Stefansson, Stacy Steinberg, Fabian Streit, Jana Strohmaier, Katherine E Tansey, Henning Teismann, Alexander Teumer, Wesley Thompson, Pippa A Thomson, Thorgeir E Thorgeirsson, Matthew Traylor, Jens Treutlein, Vassily Trubetskoy, André G Uitterlinden, Daniel Umbricht, Sandra Van der Auwera, Albert M van Hemert, Alexander Viktorin, Peter M Visscher, Yunpeng Wang, Bradley T Webb, Shantel Marie Weinsheimer, Jürgen Wellmann, Gonneke Willemsen, Stephanie H Witt, Yang Wu, Hualin S Xi, Jian Yang, Futao Zhang, Volker Arolt, Bernhard T Baune, Klaus Berger, Dorret I Boomsma, Sven Cichon, Udo Dannlowski, E J C de Geus, J Raymond DePaulo, Enrico Domenici, Katharina Domschke, Tõnu Esko, Hans J Grabe, Steven P Hamilton, Caroline Hayward, Andrew C Heath, Kenneth S Kendler, Stefan Kloiber, Glyn Lewis, Qingqin S Li, Susanne Lucae, Pamela A F Madden, Patrik K Magnusson, Nicholas G Martin, Andrew M McIntosh, Andres Metspalu, Ole Mors, Preben Bo Mortensen, Bertram Müller-Myhsok, Merete Nordentoft, Markus M Nöthen, Michael C O'Donovan, Sara A Paciga, Nancy L Pedersen, Brenda W J H Penninx, Roy H Perlis, David J Porteous, James B Potash, Martin Preisig, Marcella Rietschel, Catherine Schaefer, Thomas G Schulze, Jordan W Smoller, Kari Stefansson, Henning Tiemeier, Rudolf Uher, Henry Völzke, Myrna M Weissman, Thomas Werge, Cathryn M Lewis, Douglas F Levinson, Gerome Breen, Anders D Børglum, Patrick F Sullivan., Epidemiology, Internal Medicine, Child and Adolescent Psychiatry / Psychology, Georg-August-University [Göttingen], University of California, Universita degli Studi di Cagliari [Cagliari], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), University of Graz, Università degli Studi di Perugia (UNIPG), University of Münster, Karl-Franzens-Universität [Graz, Autriche], Amare, A. T., Schubert, K. O., Hou, L., Clark, S. R., Papiol, S., Cearns, M., Heilbronner, U., Degenhardt, F., Tekola-Ayele, F., Hsu, Y. -H., Shekhtman, T., Adli, M., Akula, N., Akiyama, K., Ardau, R., Arias, B., Aubry, J. -M., Backlund, L., Bhattacharjee, A. K., Bellivier, F., Benabarre, A., Bengesser, S., Biernacka, J. M., Birner, A., Brichant-Petitjean, C., Cervantes, P., Chen, H. -C., Chillotti, C., Cichon, S., Cruceanu, C., Czerski, P. M., Dalkner, N., Dayer, A., Del Zompo, M., Depaulo, J. R., Etain, B., Jamain, S., Falkai, P., Forstner, A. J., Frisen, L., Frye, M. A., Fullerton, J. M., Gard, S., Garnham, J. S., Goes, F. S., Grigoroiu-Serbanescu, M., Grof, P., Hashimoto, R., Hauser, J., Herms, S., Hoffmann, P., Hofmann, A., Jimenez, E., Kahn, J. -P., Kassem, L., Kuo, P. -H., Kato, T., Kelsoe, J. R., Kittel-Schneider, S., Kliwicki, S., Konig, B., Kusumi, I., Laje, G., Landen, M., Lavebratt, C., Leboyer, M., Leckband, S. G., Tortorella, A., Manchia, M., Martinsson, L., Mccarthy, M. J., Mcelroy, S. L., Colom, F., Mitjans, M., Mondimore, F. M., Monteleone, P., Nievergelt, C. M., Nothen, M. M., Novak, T., O'Donovan, C., Ozaki, N., Osby, U., Pfennig, A., Potash, J. B., Reif, A., Wray, N. R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., Agerbo, E., Air, T. M., Andlauer, T. F. M., Bacanu, S. -A., Baekvad-Hansen, M., Beekman, A. T. F., Bigdeli, T. B., Binder, E. B., Blackwood, D. H. R., Bryois, J., Buttenschon, H. N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J., Clarke, T. -K., Coleman, J. R. I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G. E., Davies, G., Deary, I. J., Derks, E. M., Direk, N., Dolan, C. V., Dunn, E. C., Eley, T. C., Escott-Price, V., Kiadeh, F. F. H., Finucane, H. K., Frank, J., Gaspar, H. A., Gill, M., Gordon, S. D., Grove, J., Hall, L. S., Hansen, C. S., Hansen, T. F., Hickie, I. B., Homuth, G., Horn, C., Hottenga, J. -J., Hougaard, D. M., Ising, M., Jansen, R., Jorgenson, E., Knowles, J. A., Kohane, I. S., Kraft, J., Kretzschmar, W. W., Krogh, J., Kutalik, Z., Li, Y., Lind, P. A., Macintyre, D. J., Mackinnon, D. F., Maier, R. M., Maier, W., Marchini, J., Mbarek, H., Mcgrath, P., Mcguffin, P., Medland, S. E., Mehta, D., Middeldorp, C. M., Mihailov, E., Milaneschi, Y., Milani, L., Montgomery, G. W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M. G., Nyholt, D. R., O'Reilly, P. F., Oskarsson, H., Owen, M. J., Painter, J. N., Pedersen, C. B., Pedersen, M. G., Peterson, R. E., Pettersson, E., Peyrot, W. J., Pistis, G., Posthuma, D., Quiroz, J. A., Qvist, P., Rice, J. P., Riley, B. P., Rivera, M., Mirza, S. S., Schoevers, R., Schulte, E. C., Shen, L., Shi, J., Shyn, S. I., Sigurdsson, E., Sinnamon, G. C. B., Smit, J. H., Smith, D. J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K. E., Teismann, H., Teumer, A., Thompson, W., Thomson, P. A., Thorgeirsson, T. E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A. G., Umbricht, D., Van der Auwera, S., van Hemert, A. M., Viktorin, A., Visscher, P. M., Wang, Y., Webb, B. T., Weinsheimer, S. M., Wellmann, J., Willemsen, G., Witt, S. H., Wu, Y., Xi, H. S., Yang, J., Zhang, F., Arolt, V., Baune, B. T., Berger, K., Boomsma, D. I., Dannlowski, U., de Geus, E. J. C., Domenici, E., Domschke, K., Esko, T., Grabe, H. J., Hamilton, S. P., Hayward, C., Heath, A. C., Kendler, K. S., Kloiber, S., Lewis, G., Li, Q. S., Lucae, S., Madden, P. A. F., Magnusson, P. K., Martin, N. G., Mcintosh, A. M., Metspalu, A., Mors, O., Mortensen, P. B., Muller-Myhsok, B., Nordentoft, M., O'Donovan, M. C., Paciga, S. A., Pedersen, N. L., Penninx, B. W. J. H., Perlis, R. H., Porteous, D. J., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T. G., Smoller, J. W., Stefansson, K., Tiemeier, H., Uher, R., Volzke, H., Weissman, M. M., Werge, T., Lewis, C. M., Levinson, D. F., Breen, G., Borglum, A. D., Sullivan, P. F., Reininghaus, E., Rouleau, G. A., Rybakowski, J. K., Schalling, M., Schofield, P. R., Schweizer, B. W., Severino, G., Shilling, P. D., Shimoda, K., Simhandl, C., Slaney, C. M., Squassina, A., Stamm, T., Stopkova, P., Maj, M., Turecki, G., Vieta, E., Veeh, J., Wright, A., Zandi, P. P., Mitchell, P. B., Bauer, M., Alda, M., Mcmahon, F. J., and Adult Psychiatry
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0301 basic medicine ,Netherlands Twin Register (NTR) ,Lithium (medication) ,[SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health ,Genome-wide association study ,Logistic regression ,THERAPY ,ddc:616.89 ,0302 clinical medicine ,Medicine ,Major depression ,PREDICTORS ,Depression (differential diagnoses) ,RISK ,Depression ,Psychiatry and Mental health ,Quartile ,Cohort ,AUGMENTATION ,medicine.drug ,POLARITY ,medicine.medical_specialty ,GENETICS ,Bipolar disorder ,[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics ,Lithium ,PROPHYLACTIC LITHIUM ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,SDG 3 - Good Health and Well-being ,Internal medicine ,Humans ,ddc:610 ,AGENTS ,Molecular Biology ,Genetic association ,Depressive Disorder, Major ,business.industry ,medicine.disease ,EFFICACY ,030104 developmental biology ,[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics ,[SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health ,PHARMACOLOGICAL-TREATMENTS ,business ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
© 2020, The Author(s), under exclusive licence to Springer Nature Limited.Lithium is a first-line medication for bipolar disorder (BD), but only one in three patients respond optimally to the drug. Since evidence shows a strong clinical and genetic overlap between depression and bipolar disorder, we investigated whether a polygenic susceptibility to major depression is associated with response to lithium treatment in patients with BD. Weighted polygenic scores (PGSs) were computed for major depression (MD) at different GWAS p value thresholds using genetic data obtained from 2586 bipolar patients who received lithium treatment and took part in the Consortium on Lithium Genetics (ConLi+Gen) study. Summary statistics from genome-wide association studies in MD (135,458 cases and 344,901 controls) from the Psychiatric Genomics Consortium (PGC) were used for PGS weighting. Response to lithium treatment was defined by continuous scores and categorical outcome (responders versus non-responders) using measurements on the Alda scale. Associations between PGSs of MD and lithium treatment response were assessed using a linear and binary logistic regression modeling for the continuous and categorical outcomes, respectively. The analysis was performed for the entire cohort, and for European and Asian sub-samples. The PGSs for MD were significantly associated with lithium treatment response in multi-ethnic, European or Asian populations, at various p value thresholds. Bipolar patients with a low polygenic load for MD were more likely to respond well to lithium, compared to those patients with high polygenic load [lowest vs highest PGS quartiles, multi-ethnic sample: OR = 1.54 (95% CI: 1.18–2.01) and European sample: OR = 1.75 (95% CI: 1.30–2.36)]. While our analysis in the Asian sample found equivalent effect size in the same direction: OR = 1.71 (95% CI: 0.61–4.90), this was not statistically significant. Using PGS decile comparison, we found a similar trend of association between a high genetic loading for MD and lower response to lithium. Our findings underscore the genetic contribution to lithium response in BD and support the emerging concept of a lithium-responsive biotype in BD.
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- 2021
5. Prebiotic and Probiotic Modulation of the Microbiota–Gut–Brain Axis in Depression.
- Author
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Radford-Smith, Daniel E. and Anthony, Daniel C.
- Abstract
Emerging evidence demonstrates that alterations to the gut microbiota can affect mood, suggesting that the microbiota–gut–brain (MGB) axis contributes to the pathogenesis of depression. Many of these pathways overlap with the way in which the gut microbiota are thought to contribute to metabolic disease progression and obesity. In rodents, prebiotics and probiotics have been shown to modulate the composition and function of the gut microbiota. Together with germ-free rodent models, probiotics have provided compelling evidence for a causal relationship between microbes, microbial metabolites, and altered neurochemical signalling and inflammatory pathways in the brain. In humans, probiotic supplementation has demonstrated modest antidepressant effects in individuals with depressive symptoms, though more studies in clinically relevant populations are needed. This review critically discusses the role of the MGB axis in depression pathophysiology, integrating preclinical and clinical evidence, as well as the putative routes of communication between the microbiota–gut interface and the brain. A critical overview of the current approaches to investigating microbiome changes in depression is provided. To effectively translate preclinical breakthroughs in MGB axis research into novel therapies, rigorous placebo-controlled trials alongside a mechanistic and biochemical understanding of prebiotic and probiotic action are required from future research. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
6. Mechanisms of Maternal Diet-Induced Obesity Affecting the Offspring Brain and Development of Affective Disorders.
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Radford-Smith, Daniel E. and Anthony, Daniel C.
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AFFECTIVE disorders ,NEURAL development ,COMPOSITION of breast milk ,MATERNAL nutrition ,DEPRESSION in women ,GUT microbiome ,NEURAL transmission ,BREAST milk - Abstract
Depression and metabolic disease are common disorders that share a bidirectional relationship and continue to increase in prevalence. Maternal diet and maternal behaviour both profoundly influence the developmental trajectory of offspring during the perinatal period. At an epidemiological level, both maternal depression and obesity during pregnancy have been shown to increase the risk of neuropsychiatric disease in the subsequent generation. Considerable progress has been made to understand the mechanisms by which maternal obesity disrupts the developing offspring gut–brain axis, priming offspring for the development of affective disorders. This review outlines such mechanisms in detail, including altered maternal care, the maternal microbiome, inflammation, breast milk composition, and maternal and placental metabolites. Subsequently, offspring may be prone to developing gut–brain interaction disorders with concomitant changes to brain energy metabolism, neurotransmission, and behaviour, alongside gut dysbiosis. The gut microbiome may act as a key modifiable, and therefore treatable, feature of the relationship between maternal obesity and the offspring brain function. Further studies examining the relationship between maternal nutrition, the maternal microbiome and metabolites, and offspring neurodevelopment are warranted to identify novel therapeutic targets. [ABSTRACT FROM AUTHOR]
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- 2023
- Full Text
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7. Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders
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Andlauer, Till F M, Guzman-Parra, Jose, Orozco Diaz, Guillermo, Freimer, Nelson B, Frisén, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartolomei, Claudia, Pedersen, Marianne Giørtz, Goldstein, Jaqueline, Gordon, Scott D, Gordon-Smith, Katherine, de Diego-Otero, Yolanda, Green, Elaine K, Green, Melissa J, Greenwood, Tiffany A, Grove, Jakob, Guan, Weihua, Parra, José Guzman, Hamshere, Marian L, Hautzinger, Martin, Heilbronner, Urs, Herms, Stefan, Moreno-Küstner, Berta, Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S, Juréus, Anders, Kandaswamy, Radhika, Karlsson, Robert, Kennedy, James L, Auburger, Georg, Kittel-Schneider, Sarah, Knowles, James A, Kogevinas, Manolis, Koller, Anna C, Kupka, Ralph, Lavebratt, Catharina, Lawrence, Jacob, Lawson, William B, Leber, Markus, Lee, Phil H, Degenhardt, Franziska, Levy, Shawn E, Li, Jun Z, Liu, Chunyu, Lucae, Susanne, Maaser, Anna, MacIntyre, Donald J, Mahon, Pamela B, Maier, Wolfgang, Martinsson, Lina, McCarroll, Steve, Heilmann-Heimbach, Stefanie, McGuffin, Peter, McInnis, Melvin G, McKay, James D, Medeiros, Helena, Medland, Sarah E, Meng, Fan, Milani, Lili, Montgomery, Grant W, Morris, Derek W, Mühleisen, Thomas W, Mullins, Niamh, Nguyen, Hoang, Nievergelt, Caroline M, Adolfsson, Annelie Nordin, Nwulia, Evaristus A, O'Donovan, Claire, Loohuis, Loes M Olde, Ori, Anil P S, Oruc, Lilijana, Ösby, Urban, Perlis, Roy H, Perry, Amy, Pfennig, Andrea, Potash, James B, Purcell, Shaun M, Regeer, Eline J, Reif, Andreas, Reinbold, Céline S, Rice, John P, Richards, Alexander L, Frank, Josef, Rivas, Fabio, Rivera, Margarita, Roussos, Panos, Ruderfer, Douglas M, Ryu, Euijung, Sánchez-Mora, Cristina, Schatzberg, Alan F, Scheftner, William A, Schork, Nicholas J, Weickert, Cynthia Shannon, Foo, Jerome C, Shehktman, Tatyana, Shilling, Paul D, Sigurdsson, Engilbert, Slaney, Claire, Smeland, Olav B, Sobell, Janet L, Hansen, Christine Søholm, Spijker, Anne T, Clair, David St, Steffens, Michael, Streit, Fabian, Treutlein, Jens, Strauss, John S, Strohmaier, Jana, Szelinger, Szabolcs, Thompson, Robert C, EThorgeirsson, Thorgeir, Vedde, Helmut, Wang, Weiqing, Watson, Stanley J, Witt, Stephanie H, Weickert, Thomas W, Xi, Simon, Xu, Wei, Young, Allan H, Zandi, Peter, Zhang, Peng, Zollner, Sebastian, Adolfsson, Rolf, Agartz, Ingrid, Cichon, Sven, Alda, Martin, Backlund, Lena, Baune, Bernhard T, Bellivier, Frank, Berrettini, Wade H, Biernacka, Joanna M, Blackwood, Douglas H R, Boehnke, Michael, Børglum, Anders D, Corvin, Aiden, Craddock, Nicholas, Daly, Mark J, Dannlowski, Udo, Esko, Tõnu, Etain, Bruno, Frye, Mark, Fullerton, Janice M, Gershon, Elliot S, Gill, Michael, Goes, Fernando, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Hougaard, David M, Hultman, Christina M, Jones, Ian, Jones, Lisa A, Kahn, René S, Kirov, George, Landén, Mikael, Leboyer, Marion, Mayoral, Fermín, Lewis, Cathryn M, Li, Qingqin S, Lissowska, Jolanta, Martin, Nicholas G, Mayoral, Fermin, McElroy, Susan L, McIntosh, Andrew M, McMahon, Francis J, Melle, Ingrid, Metspalu, Andres, Müller-Myhsok, Bertram, Mitchell, Philip B, Morken, Gunnar, Mors, Ole, Mortensen, Preben Bo, Myers, Richard M, Neale, Benjamin M, Nimgaonkar, Vishwajit, Nordentoft, Merete, Nöthen, Markus M, Forstner, Andreas J, O'Donovan, Michael C, Oedegaard, Ketil J, Owen, Michael J, Paciga, Sara A, Pato, Carlos, Pato, Michele T, Posthuma, Danielle, Ramos-Quiroga, Josep Antoni, Ribasés, Marta, Rietschel, Marcella, Rouleau, Guy A, Schalling, Martin, Schofield, Peter R, Schulze, Thomas G, Serretti, Alessandro, Smoller, Jordan W, Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Sullivan, Patrick F, Turecki, Gustavo, Vaaler, Arne E, Vieta, Eduard, Vincent, John B, Werge, Thomas, Nurnberger, John I, Wray, Naomi R, Florio, Arianna Di, Edenberg, Howard J, Stahl, Eli A, Ophoff, Roel A, Scott, Laura J, Andreassen, Ole A, Kelsoe, John, Sklar, Pamela, Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Breen, Gerome, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Binder, Elisabeth B, Bryois, Julien, Buttenschøn, Henriette N, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R I, Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, McQuillin, Andrew, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Derks, Eske M, Direk, Nese, Dolan, Conor V, Dunn, Erin C, Eley, Thalia C, Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K, Gaspar, Héléna A, Goes, Fernando S, Trubetskoy, Vassily, Hall, Lynsey S, Hansen, Thomas F, Hickie, Ian B, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Howard, David M, Ising, Marcus, Jansen, Rick, Jorgenson, Eric, Kohane, Isaac S, Kraft, Julia, Wang, Yunpeng, Kretzschmar, Warren W, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacKinnon, Dean F, Maier, Robert M, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Mondimore, Francis M, Mostafavi, Sara, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, O'Reilly, Paul F, Oskarsson, Hogni, Painter, Jodie N, González, Maria José, de Leeuw, Christiaan A, Pedersen, Carsten Bøcker, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Quiroz, Jorge A, Qvist, Per, Steinberg, Stacy, Riley, Brien P, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sinnamon, Grant C B, Pavlides, Jennifer M Whitehead, Smit, Johannes H, Smith, Daniel J, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Traylor, Matthew, Uitterlinden, André G, Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M, Viktorin, Alexander, Pers, Tune H, Visscher, Peter M, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Wu, Yang, Xi, Hualin S, Yang, Jian, Holmans, Peter A, Zhang, Futao, Arolt, Volker, Berger, Klaus, Boomsma, Dorret I, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Abbott, Liam, Domschke, Katharina, Grabe, Hans J, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Madden, Pamela A F, Magnusson, Patrik K, Akil, Huda, Pedersen, Nancy L, Penninx, Brenda W J H, Porteous, David J, Preisig, Martin, Albani, Diego, Schaefer, Catherine, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M, Gil Flores, Susana, Alliey-Rodriguez, Ney, Levinson, Douglas F, Als, Thomas D, Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A, Barchas, Jack D, Bass, Nicholas, Bauer, Michael, Cabaleiro Fabeiro, Francisco J, Belliveau, Richard, Bergen, Sarah E, Bøen, Erlend, Boks, Marco, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Del Río Noriega, Francisco, Byerley, William, Casas, Miquel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Charney, Alexander W, Chen, Danfeng, Churchhouse, Claire, Coryell, William, Perez, Fermin Perez, Craig, David W, Cruceanu, Cristiana, Czerski, Piotr M, Dale, Anders M, de Jong, Simone, Del-Favero, Jurgen, Djurovic, Srdjan, Dobbyn, Amanda L, Haro González, Jesus, Dumont, Ashley, Elvsåshagen, Torbjørn, Fan, Chun Chieh, Fischer, Sascha B, Flickinger, Matthew, Foroud, Tatiana M, Forty, Liz, Fraser, Christine, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, Epidemiology and Data Science, APH - Digital Health, Andlauer T.F.M., Guzman-Parra J., Streit F., Strohmaier J., Gonzalez M.J., Gil Flores S., Cabaleiro Fabeiro F.J., del Rio Noriega F., Perez F.P., Haro Gonzalez J., Orozco Diaz G., de Diego-Otero Y., Moreno-Kustner B., Auburger G., Degenhardt F., Heilmann-Heimbach S., Herms S., Hoffmann P., Frank J., Foo J.C., Treutlein J., Witt S.H., Cichon S., Kogevinas M., Stahl E.A., Breen G., Forstner A.J., McQuillin A., Ripke S., Trubetskoy V., Mattheisen M., Wang Y., Coleman J.R.I., Gaspar H.A., de Leeuw C.A., Steinberg S., Pavlides J.M.W., Trzaskowski M., Pers T.H., Holmans P.A., Abbott L., Agerbo E., Akil H., Albani D., Alliey-Rodriguez N., Als T.D., Anjorin A., Antilla V., Awasthi S., Badner J.A., Baekvad-Hansen M., Barchas J.D., Bass N., Bauer M., Belliveau R., Bergen S.E., Pedersen C.B., Boen E., Boks M., Boocock J., Budde M., Bunney W., Burmeister M., Bybjerg-Grauholm J., Byerley W., Casas M., Cerrato F., Cervantes P., Chambert K., Charney A.W., Chen D., Churchhouse C., Clarke T.-K., Coryell W., Craig D.W., Cruceanu C., Czerski P.M., Dale A.M., de Jong S., Del-Favero J., DePaulo J.R., Djurovic S., Dobbyn A.L., Dumont A., Elvsashagen T., Escott-Price V., Fan C.C., Fischer S.B., Flickinger M., Foroud T.M., Forty L., Fraser C., Freimer N.B., Frisen L., Gade K., Gage D., Garnham J., Giambartolomei C., Pedersen M.G., Goldstein J., Gordon S.D., Gordon-Smith K., Green E.K., Green M.J., Greenwood T.A., Grove J., Guan W., Parra J.G., Hamshere M.L., Hautzinger M., Heilbronner U., Hipolito M., Holland D., Huckins L., Jamain S., Johnson J.S., Jureus A., Kandaswamy R., Karlsson R., Kennedy J.L., Kittel-Schneider S., Knowles J.A., Koller A.C., Kupka R., Lavebratt C., Lawrence J., Lawson W.B., Leber M., Lee P.H., Levy S.E., Li J.Z., Liu C., Lucae S., Maaser A., MacIntyre D.J., Mahon P.B., Maier W., Martinsson L., McCarroll S., McGuffin P., McInnis M.G., McKay J.D., Medeiros H., Medland S.E., Meng F., Milani L., Montgomery G.W., Morris D.W., Muhleisen T.W., Mullins N., Nguyen H., Nievergelt C.M., Adolfsson A.N., Nwulia E.A., O'Donovan C., Loohuis L.M.O., Ori A.P.S., Oruc L., Osby U., Perlis R.H., Perry A., Pfennig A., Potash J.B., Purcell S.M., Regeer E.J., Reif A., Reinbold C.S., Rice J.P., Richards A.L., Rivas F., Rivera M., Roussos P., Ruderfer D.M., Ryu E., Sanchez-Mora C., Schatzberg A.F., Scheftner W.A., Schork N.J., Weickert C.S., Shehktman T., Shilling P.D., Sigurdsson E., Slaney C., Smeland O.B., Sobell J.L., Hansen C.S., Spijker A.T., Clair D.S., Steffens M., Strauss J.S., Szelinger S., Thompson R.C., EThorgeirsson T., Vedde H., Wang W., Watson S.J., Weickert T.W., Xi S., Xu W., Young A.H., Zandi P., Zhang P., Zollner S., Adolfsson R., Agartz I., Alda M., Backlund L., Baune B.T., Bellivier F., Berrettini W.H., Biernacka J.M., Blackwood D.H.R., Boehnke M., Borglum A.D., Corvin A., Craddock N., Daly M.J., Dannlowski U., Esko T., Etain B., Frye M., Fullerton J.M., Gershon E.S., Gill M., Goes F., Grigoroiu-Serbanescu M., Hauser J., Hougaard D.M., Hultman C.M., Jones I., Jones L.A., Kahn R.S., Kirov G., Landen M., Leboyer M., Lewis C.M., Li Q.S., Lissowska J., Martin N.G., Mayoral F., McElroy S.L., McIntosh A.M., McMahon F.J., Melle I., Metspalu A., Mitchell P.B., Morken G., Mors O., Mortensen P.B., Muller-Myhsok B., Myers R.M., Neale B.M., Nimgaonkar V., Nordentoft M., Nothen M.M., O'Donovan M.C., Oedegaard K.J., Owen M.J., Paciga S.A., Pato C., Pato M.T., Posthuma D., Ramos-Quiroga J.A., Ribases M., Rietschel M., Rouleau G.A., Schalling M., Schofield P.R., Schulze T.G., Serretti A., Smoller J.W., Stefansson H., Stefansson K., Stordal E., Sullivan P.F., Turecki G., Vaaler A.E., Vieta E., Vincent J.B., Werge T., Nurnberger J.I., Wray N.R., Florio A.D., Edenberg H.J., Ophoff R.A., Scott L.J., Andreassen O.A., Kelsoe J., Sklar P., Byrne E.M., Abdellaoui A., Adams M.J., Air T.M., Bacanu S.-A., Beekman A.T.F., Bigdeli T.B., Binder E.B., Bryois J., Buttenschon H.N., Cai N., Castelao E., Christensen J.H., Colodro-Conde L., Couvy-Duchesne B., Crawford G.E., Davies G., Deary I.J., Derks E.M., Direk N., Dolan C.V., Dunn E.C., Eley T.C., Kiadeh F.F.H., Finucane H.K., Goes F.S., Hall L.S., Hansen T.F., Hickie I.B., Homuth G., Horn C., Hottenga J.-J., Howard D.M., Ising M., Jansen R., Jorgenson E., Kohane I.S., Hill, Kraft J., Kretzschmar W.W., Kutalik Z., Li Y., Lind P.A., MacKinnon D.F., Maier R.M., Marchini J., Mbarek H., McGrath P., Mehta D., Middeldorp C.M., Mihailov E., Milaneschi Y., Mondimore F.M., Mostafavi S., Nauck M., Ng B., Nivard M.G., Nyholt D.R., O'Reilly P.F., Oskarsson H., Painter J.N., Peterson R.E., Pettersson E., Peyrot W.J., Pistis G., Quiroz J.A., Qvist P., Riley B.P., Mirza S.S., Schoevers R., Schulte E.C., Shen L., Shi J., Shyn S.I., Sinnamon G.C.B., Smit J.H., Smith D.J., Tansey K.E., Teismann H., Teumer A., Thompson W., Thomson P.A., Thorgeirsson T.E., Traylor M., Uitterlinden A.G., Umbricht D., Van der Auwera S., van Hemert A.M., Viktorin A., Visscher P.M., Webb B.T., Weinsheimer S.M., Wellmann J., Willemsen G., Wu Y., Xi H.S., Yang J., Zhang F., Arolt V., Berger K., Boomsma D.I., de Geus E.J.C., Domenici E., Domschke K., Grabe H.J., Hamilton S.P., Hayward C., Heath A.C., Kendler K.S., Kloiber S., Lewis G., Madden P.A.F., Magnusson P.K., Pedersen N.L., Penninx B.W.J.H., Porteous D.J., Preisig M., Schaefer C., Tiemeier H., Uher R., Volzke H., Weissman M.M., Levinson D.F., Child and Adolescent Psychiatry / Psychology, Epidemiology, Internal Medicine, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, APH - Methodology, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, and Adult Psychiatry
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Netherlands Twin Register (NTR) ,Genetic variants ,Bipolar Disorder ,Specific risk ,Disease ,0302 clinical medicine ,Multiplex ,Genetic risk ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,Depression (differential diagnoses) ,0303 health sciences ,Depression ,ddc ,3. Good health ,Geðraskanir ,Psychiatry and Mental health ,Schizophrenia ,Cohort ,Major depressive disorder ,Case-Control Studie ,Human ,medicine.medical_specialty ,Bipolar disorder ,Article ,Cellular and Molecular Neuroscience ,03 medical and health sciences ,Geðklofi ,SDG 3 - Good Health and Well-being ,medicine ,Humans ,Genetic Predisposition to Disease ,ddc:610 ,Psychiatry ,Þunglyndi ,Molecular Biology ,030304 developmental biology ,Depressive Disorder, Major ,Geðhvarfasýki ,business.industry ,Psychiatric disorder ,medicine.disease ,Genarannsóknir ,Case-Control Studies ,Multiple comparisons problem ,business ,030217 neurology & neurosurgery - Abstract
Publisher's version, Multiplex families with a high prevalence of a psychiatric disorder are often examined to identify rare genetic variants with large effect sizes. In the present study, we analysed whether the risk for bipolar disorder (BD) in BD multiplex families is influenced by common genetic variants. Furthermore, we investigated whether this risk is conferred mainly by BD-specific risk variants or by variants also associated with the susceptibility to schizophrenia or major depression. In total, 395 individuals from 33 Andalusian BD multiplex families (166 BD, 78 major depressive disorder, 151 unaffected) as well as 438 subjects from an independent, BD case/control cohort (161 unrelated BD, 277 unrelated controls) were analysed. Polygenic risk scores (PRS) for BD, schizophrenia (SCZ), and major depression were calculated and compared between the cohorts. Both the familial BD cases and unaffected family members had higher PRS for all three psychiatric disorders than the independent controls, with BD and SCZ being significant after correction for multiple testing, suggesting a high baseline risk for several psychiatric disorders in the families. Moreover, familial BD cases showed significantly higher BD PRS than unaffected family members and unrelated BD cases. A plausible hypothesis is that, in multiplex families with a general increase in risk for psychiatric disease, BD development is attributable to a high burden of common variants that confer a specific risk for BD. The present analyses demonstrated that common genetic risk variants for psychiatric disorders are likely to contribute to the high incidence of affective psychiatric disorders in the multiplex families. However, the PRS explained only part of the observed phenotypic variance, and rare variants might have also contributed to disease development., The study was supported by the German Federal Ministry of Education and Research (BMBF), through the Integrated Network IntegraMent, under the auspices of the e:Med programme (grants 01ZX1314A to MMN and SC; 01ZX1314G to MR; 01ZX1614J to BMM) through grants 01EE1406C to MR and 01EE1409C to MR and SHW, and through ERA-NET NEURON, “SynSchiz—Linking synaptic dysfunction to disease mechanisms in schizophrenia—a multilevel investigation” (01EW1810 to MR) and BMBF grants 01EE1409C and 01EE1406C to MR and SHW; by the German Research Foundation (DFG grants FOR2107; RI908/11-2 to MR; NO246/10-2 to MMN; MU1315/8-2 to BMM; WI 3439/3-2 to SHW), by the Andalusian regional Health and Innovation Government (grants PI-0060-2017, RC-0006-2015 the Nicolas Monarde Programme for YDO and CTS-546) and by the Swiss National Science Foundation (SNSF grant 156791 to SC). MMN is a member of the DFG-funded cluster of excellence ImmunoSensation. The PGC has received major funding from the US National Institute of Mental Health and the US National Institute of Drug Abuse (U01 MH109528 and U01 MH1095320). We thank the research participants and employees of 23andMe, Inc. for their contribution to the MDD meta-analysis published in [14]. We thank the International Genomics of Alzheimer's Project (IGAP) for providing summary results data for the present analyses. See the Supplementary Data for extended Acknowledgements.
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- 2021
8. Author Correction: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways
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Howard, David M., Adams, Mark J., Shirali, Masoud, Clarke, Toni Kim, Marioni, Riccardo E., Davies, Gail, Coleman, Jonathan R.I., Alloza, Clara, Shen, Xueyi, Barbu, Miruna C., Wigmore, Eleanor M., Gibson, Jude, Agee, Michelle, Alipanahi, Babak, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Fontanillas, Pierre, Furlotte, Nicholas A., Hinds, David A., Huber, Karen E., Kleinman, Aaron, Litterman, Nadia K., McCreight, Jennifer C., McIntyre, Matthew H., Mountain, Joanna L., Noblin, Elizabeth S., Northover, Carrie A.M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Hagenaars, Saskia P., Lewis, Cathryn M., Ward, Joey, Smith, Daniel J., Sullivan, Patrick F., Haley, Chris S., Breen, Gerome, Deary, Ian J., and McIntosh, Andrew M.
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Science ,MEDLINE ,General Physics and Astronomy ,Genome-wide association study ,Nerve Tissue Proteins ,Computational biology ,Biology ,Mechanotransduction, Cellular ,Synaptic Transmission ,General Biochemistry, Genetics and Molecular Biology ,Linkage Disequilibrium ,Cohort Studies ,International Classification of Diseases ,Humans ,Genetic Predisposition to Disease ,Author Correction ,Depression (differential diagnoses) ,Biological Specimen Banks ,Depressive Disorder, Major ,Multidisciplinary ,Depression ,General Chemistry ,Biobank ,Phenotype ,United Kingdom ,Gene Expression Regulation ,Genetic Loci ,Synapses ,Excitatory postsynaptic potential ,Biomarkers ,Genome-Wide Association Study - Abstract
Depression is a polygenic trait that causes extensive periods of disability. Previous genetic studies have identified common risk variants which have progressively increased in number with increasing sample sizes of the respective studies. Here, we conduct a genome-wide association study in 322,580 UK Biobank participants for three depression-related phenotypes: broad depression, probable major depressive disorder (MDD), and International Classification of Diseases (ICD, version 9 or 10)-coded MDD. We identify 17 independent loci that are significantly associated (P 5 × 10
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- 2021
9. Mental Health Prevalence in NCAA Division III Collegiate Athletes.
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Valster, Katelin, Jones, Keith, Cochrane-Snyman, Kristen, and Smith, Daniel
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MENTAL health ,COLLEGE athletes ,ANALYSIS of variance ,PUBLIC health ,CHI-squared test - Abstract
Stressors related to academic requisites, sport participation, and pressure to perform may increase college athlete risk for mental health symptoms (Cox et al., 2017; Sudano & Miles, 2017; Yang et al., 2007). The purpose of this study was to identify the level of clinically relevant self-reported mental health symptoms in National Collegiate Athletic Association (NCAA) Division III athletes and variations based on sport participation (i.e., men's or women's athletics; team or individual sports) over a two-year period. A nonexperimental trend study design was used. Data analysis included descriptive statistics, chi square test, and multivariate analysis of variance (MANOVA) that used oneway analysis of variance (ANOVA) for follow-up procedures. A MANOVA revealed a significant interaction of gender and sport type for general symptoms [F(1, 564) = 9.583, p = .002] and depression [F(1, 564) = 6.945, p = .009] but not anxiety [F(1, 564) = 3.332, p = .068, X2 = .006]. The project was able to describe mental health symptoms in a population that often is not included in the literature. Knowledge of collegiate athlete mental health prevalence is important because prevention and early intervention is a key component of community-based health programming. [ABSTRACT FROM AUTHOR]
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- 2022
10. Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression
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Glanville, Kylie P, Coleman, Jonathan R I, Binder, Elisabeth B, Hall, Lynsey S, Hansen, Christine Søholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Blackwood, Douglas H R, Howard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Boomsma, Dorret I, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, Buttenschøn, Henriette N, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Colodro-Conde, Lucía, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bøcker, Dannlowski, Udo, Pedersen, Marianne Giørtz, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Direk, Nese, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant C B, Smit, Johannes H, Dunn, Erin C, Smith, Daniel J, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Forstner, Andreas J, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andrés G, Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, de Geus, Eco J C, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Hanscombe, Ken B, Grabe, Hans J, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Cichon, Sven, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Hamilton, Steven P, Esko, Tõnu, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela Af, Magnusson, Patrik K, Martin, Nicholas G, McIntosh, Andrew M, Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda W J H, Perlis, Roy H, Porteous, David J, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M, Werge, Thomas, Lewis, Cathryn M, Levinson, Douglas F, Breen, Gerome, Børglum, Anders D, Sullivan, Patrick F, Euesden, Jack, Choi, Shing Wan, Ripke, Stephan, Purves, Kirstin L, Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Wray, Naomi R, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till F M, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Bryois, Julien, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Degenhardt, Franziska, Derks, Eske M, Dolan, Conor V, Eley, Thalia C, Escott-Price, Valentina, Hassan Kiadeh, Farnush Farhadi, Finucane, Hilary K, Foo, Jerome C, Frank, Josef, Gaspar, Héléna A, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Adult Psychiatry, APH - Mental Health, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., Binder, E.B., Bryois, J., Buttenschøn, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, JRI, Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Hassan Kiadeh, F.F., Finucane, H.K., Foo, J.C., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Howard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, E., DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.S., Lucae, S., Madden, P.A., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Müller-Myhsok, B., Nordentoft, M., Nöthen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, BWJH, Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Völzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Børglum, A.D., Sullivan, P.F., Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, APH - Methodology, Functional Genomics, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, Epidemiology, Child and Adolescent Psychiatry / Psychology, Psychiatry, Internal Medicine, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Digital Health, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), and Perceptual and Cognitive Neuroscience (PCN)
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0301 basic medicine ,Netherlands Twin Register (NTR) ,Major histocompatibility complex ,LOCI ,Complement ,Autoimmune disorder ,Genome-wide association study ,Human leukocyte antigen ,Genetic association ,Major depressive disorder ,Article ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,HLA Antigens ,Genetic predisposition ,IMPUTATION ,Humans ,ANXIETY ,Genetic Predisposition to Disease ,ddc:610 ,GENOME-WIDE ASSOCIATION ,AUTOIMMUNE-DISEASE ,Biological Psychiatry ,Alleles ,Complement component 4 ,Depressive Disorder, Major ,Major histoconnpatibility complex ,COMPLEX ,biology ,Depression ,Haplotype ,Odds ratio ,ddc ,3. Good health ,030104 developmental biology ,Haplotypes ,Immunology ,biology.protein ,RISK-FACTORS ,INFERENCE ,HEALTH ,030217 neurology & neurosurgery - Abstract
Background\ud \ud The prevalence of depression is higher in individuals with autoimmune diseases, but the mechanisms underlying the observed comorbidities are unknown. Shared genetic etiology is a plausible explanation for the overlap, and in this study we tested whether genetic variation in the major histocompatibility complex (MHC), which is associated with risk for autoimmune diseases, is also associated with risk for depression.\ud \ud \ud Methods\ud \ud We fine-mapped the classical MHC (chr6: 29.6–33.1 Mb), imputing 216 human leukocyte antigen (HLA) alleles and 4 complement component 4 (C4) haplotypes in studies from the Psychiatric Genomics Consortium Major Depressive Disorder Working Group and the UK Biobank. The total sample size was 45,149 depression cases and 86,698 controls. We tested for association between depression status and imputed MHC variants, applying both a region-wide significance threshold (3.9 × 10−6) and a candidate threshold (1.6 × 10−4).\ud \ud \ud Results\ud \ud No HLA alleles or C4 haplotypes were associated with depression at the region-wide threshold. HLA-B*08:01 was associated with modest protection for depression at the candidate threshold for testing in HLA genes in the meta-analysis (odds ratio = 0.98, 95% confidence interval = 0.97–0.99).\ud \ud \ud Conclusions\ud \ud We found no evidence that an increased risk for depression was conferred by HLA alleles, which play a major role in the genetic susceptibility to autoimmune diseases, or C4 haplotypes, which are strongly associated with schizophrenia. These results suggest that any HLA or C4 variants associated with depression either are rare or have very modest effect sizes.
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- 2020
11. A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
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Shen, Xueyi, Howard, David M, McIntosh, Andrew M, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Deary, Ian J, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Wray, Naomi R, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant C B, Smit, Johannes H, Smith, Daniel J, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Ripke, Stephan, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andrés G, Mattheisen, Manuel, Umbricht, Daniel, Auwera, Sandra Van der, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Trzaskowski, Maciej, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Boomsma, Dorret I, Cichon, Sven, Byrne, Enda M, Dannlowski, Udo, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Abdellaoui, Abdel, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela A F, Magnusson, Patrik K, Martin, Nicholas G, Metspalu, Andres, Mors, Ole, Agerbo, Esben, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda W J H, Perlis, Roy H, Porteous, David J, Air, Tracy M, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Adams, Mark J, Andlauer, Till F M, Weissman, Myrna M, Werge, Thomas, Lewis, Cathryn M, Levinson, Douglas F, Breen, Gerome, Børglum, Anders D, Sullivan, Patrick F, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Binder, Elisabeth B, Bryois, Julien, Buttenschøn, Henriette N, Bybjerg-Grauholm, Jonas, Cai, Na, Hill, W David, Castelao, Enrique, Christensen, Jane Hvarregaard, Coleman, Jonathan R I, Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Degenhardt, Franziska, Derks, Eske M, Clarke, Toni-Kim, Direk, Nese, Dolan, Conor V, Dunn, Erin C, Eley, Thalia C, Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K, Foo, Jerome C, Forstner, Andreas J, Frank, Josef, Gaspar, Héléna A, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Hall, Lynsey S, Hansen, Christine Søholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Whalley, Heather C, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Psychiatry, Human genetics, APH - Methodology, Epidemiology and Data Science, APH - Digital Health, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, Adult Psychiatry, Shen, Xueyi [0000-0002-0538-4774], Howard, David M [0000-0002-6005-1972], Adams, Mark J [0000-0002-3599-6018], Whalley, Heather C [0000-0002-4505-8869], McIntosh, Andrew M [0000-0002-0198-4588], Apollo - University of Cambridge Repository, Epidemiology, Erasmus MC other, Urology, Child and Adolescent Psychiatry / Psychology, Internal Medicine, Medical Informatics, Immunology, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, and University of Iceland
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0301 basic medicine ,Netherlands Twin Register (NTR) ,DISORDER ,Male ,General Physics and Astronomy ,Genome-wide association study ,Genome-wide association studies ,0302 clinical medicine ,Risk Factors ,SCHIZOPHRENIA ,Medicine ,lcsh:Science ,Depression (differential diagnoses) ,Biological Specimen Banks ,Multidisciplinary ,Depression ,Phenome-wide association ,Mendelian Randomization Analysis ,Middle Aged ,Biobank ,3. Good health ,ENVIRONMENT INTERACTION ,symbols ,Female ,ddc:500 ,Clinical psychology ,Science ,Prefrontal Cortex ,Genomics ,Neuroimaging ,Phenome ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,symbols.namesake ,SDG 3 - Good Health and Well-being ,Humans ,Genetic Predisposition to Disease ,Mendelian Randomisation ,Þunglyndi ,Aged ,business.industry ,General Chemistry ,MAJOR DEPRESSION ,Mental health ,Genarannsóknir ,030104 developmental biology ,Mendelian inheritance ,lcsh:Q ,business ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Publisher's version (útgefin grein), Depression is a leading cause of worldwide disability but there remains considerable uncertainty regarding its neural and behavioural associations. Here, using non-overlapping Psychiatric Genomics Consortium (PGC) datasets as a reference, we estimate polygenic risk scores for depression (depression-PRS) in a discovery (N = 10,674) and replication (N = 11,214) imaging sample from UK Biobank. We report 77 traits that are significantly associated with depression-PRS, in both discovery and replication analyses. Mendelian Randomisation analysis supports a potential causal effect of liability to depression on brain white matter microstructure (β: 0.125 to 0.868, pFDR, The present study is supported by a Wellcome Trust Strategic Award “Stratifying Resilience and Depression Longitudinally” (STRADL) (Reference 104036/Z/14/Z) and MRC Mental Health Data Pathfinder Award (Reference MC_PC_17209). Data acquisition and analyses were conducted using the UK Biobank Resource under approved project #4844. Participation of the UK Biobank subjects is gratefully appreciated. We also thank UK Biobank team for collecting and preparing data for analyses. Funding from the Biotechnology and Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged. The PGC has received major funding from the US National Institute of Mental Health (5 U01MH109528-03). We thank the research participants and employees of 23andMe for supporting this study. X.S. receives support from China Scholarship Council (No. 201506040037). H.C.W. is supported by a JMAS SIM fellowship from the Royal College of Physicians of Edinburgh and by an ESAT College Fellowship from the University of Edinburgh. D.M.H. is supported by a Sir Henry Wellcome Postdoctoral Fellowship (Reference 213674/Z/18/Z) and a 2018 NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation (Reference 27404). W.D.H. is supported by a grant from Age UK (Disconnected Mind Project). A.M.M. is supported by the Sackler Trust. I.J.D. is a participant in UK Biobank.
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- 2020
12. Depressive symptoms in people with vision impairment: a cross-sectional study to identify who is most at risk
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Nollett, Claire, Ryan, Barbara, Bray, Nathan, Bunce, Catey, Casten, Robin, Edwards, Rhiannon Tudor, Gillespie, David, Smith, Daniel J, Stanford, Miles, and Margrain, Tom H
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Aged, 80 and over ,Male ,Psychiatric Status Rating Scales ,Eye Diseases ,Primary Health Care ,Depression ,geriatric medicine ,Research ,Middle Aged ,United Kingdom ,ophthalmology ,Cross-Sectional Studies ,Logistic Models ,ROC Curve ,Risk Factors ,Humans ,Female ,Self Report ,Aged - Abstract
Objective: To identify the risk factors for significant depressive symptoms in people with visual impairment in England and Wales to provide information on who is most at risk and to whom support services could be targeted in future.\ud \ud Design: A cross-sectional study using baseline data from a pragmatic randomised controlled trial.\ud \ud Setting and participants: 990 participants aged 18 or over attending 1 of 14 low-vision rehabilitation primary care optometry-based clinics in South Wales or two hospital clinics in London.\ud \ud Outcome measure: A score of ≥6 on the Geriatric Depression Scale-15 was classed as clinically significant depressive symptoms.\ud \ud Results: In a multivariable logistic regression model, significant depressive symptoms were associated with age (adjusted OR (AOR)=0.82, 95% CI: 0.66 to 0.90, p
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- 2019
13. The relationship between antihypertensive medications and mood disorders: analysis of linked healthcare data for 1.8 million patients.
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Shaw, Richard J., Mackay, Daniel, Pell, Jill P., Padmanabhan, Sandosh, Bailey, David S., and Smith, Daniel J.
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ANTIHYPERTENSIVE agents ,CONFIDENCE intervals ,ANGIOTENSINS ,CALCIUM antagonists ,PATIENTS ,HOSPITAL admission & discharge ,COMPARATIVE studies ,AFFECTIVE disorders ,MENTAL depression ,DRUG prescribing ,DESCRIPTIVE statistics ,PHYSICIAN practice patterns ,BIPOLAR disorder ,LONGITUDINAL method ,PROPORTIONAL hazards models ,CHEMICAL inhibitors - Abstract
Background: Recent work suggests that antihypertensive medications may be useful as repurposed treatments for mood disorders. Using large-scale linked healthcare data we investigated whether certain classes of antihypertensive, such as angiotensin antagonists (AAs) and calcium channel blockers, were associated with reduced risk of new-onset major depressive disorder (MDD) or bipolar disorder (BD). Method: Two cohorts of patients treated with antihypertensives were identified from Scottish prescribing (2009–2016) and hospital admission (1981–2016) records. Eligibility for cohort membership was determined by a receipt of a minimum of four prescriptions for antihypertensives within a 12-month window. One treatment cohort (n = 538 730) included patients with no previous history of mood disorder, whereas the other (n = 262 278) included those who did. Both cohorts were matched by age, sex and area deprivation to untreated comparators. Associations between antihypertensive treatment and new-onset MDD or bipolar episodes were investigated using Cox regression. Results: For patients without a history of mood disorder, antihypertensives were associated with increased risk of new-onset MDD. For AA monotherapy, the hazard ratio (HR) for new-onset MDD was 1.17 (95% CI 1.04–1.31). Beta blockers' association was stronger (HR 2.68; 95% CI 2.45–2.92), possibly indicating pre-existing anxiety. Some classes of antihypertensive were associated with protection against BD, particularly AAs (HR 0.46; 95% CI 0.30–0.70). For patients with a past history of mood disorders, all classes of antihypertensives were associated with increased risk of future episodes of MDD. Conclusions: There was no evidence that antihypertensive medications prevented new episodes of MDD but AAs may represent a novel treatment avenue for BD. [ABSTRACT FROM AUTHOR]
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- 2021
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14. Locus of Control and Negative Cognitive Styles in Adolescence as Risk Factors for Depression Onset in Young Adulthood: Findings From a Prospective Birth Cohort Study.
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Costantini, Ilaria, Kwong, Alex S. F., Smith, Daniel, Lewcock, Melanie, Lawlor, Deborah A., Moran, Paul, Tilling, Kate, Golding, Jean, and Pearson, Rebecca M.
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YOUNG adults ,COGNITIVE styles ,LOCUS of control ,COHORT analysis - Abstract
Whilst previous observational studies have linked negative thought processes such as an external locus of control and holding negative cognitive styles with depression, the directionality of these associations and the potential role that these factors play in the transition to adulthood and parenthood has not yet been investigated. This study examined the association between locus of control and negative cognitive styles in adolescence and probable depression in young adulthood and whether parenthood moderated these associations. Using a UK prospective population-based birth cohort study: the Avon Longitudinal Study of Parents and Children (ALSPAC), we examined the association between external locus of control and negative cognitive styles in adolescence with odds of depression in 4,301 young adults using logistic regression models unadjusted and adjusted for potential confounding factors. Interaction terms were employed to examine whether parenthood (i.e., having become a parent or not) moderated these associations. Over 20% of young adults in our sample were at or above the clinical threshold indicating probable depression. For each standard deviation (SD) increase in external locus of control in adolescence, there was a 19% (95% CI: 8–32%) higher odds of having probable depression in young adulthood, after adjusting for various confounding factors including baseline mood and different demographic and life events variables. Similarly, for each SD increase in negative cognitive styles in adolescence, there was a 29% (95% CI: 16–44%) higher odds of having probable depression in the adjusted model. We found little evidence that parenthood status moderated the relationship between external locus of control or negative cognitive styles in adolescence and probable depression following adjustment for confounding factors. Effect estimates were comparable when performed in the complete case dataset. These findings suggest that having an external locus of control and holding negative cognitive styles in mid- to late adolescence is associated with an increased likelihood of probable depression in young adulthood. [ABSTRACT FROM AUTHOR]
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- 2021
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15. Hair cortisol in twins:heritability and genetic overlap with psychological variables and stress-system genes
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Rietschel, Liz, Streit, Fabian, McGrath, John, Davies, Gareth, Davies, Gail, de Geus, Eco J C, De Jager, Philip, Deary, Ian J, Degenhardt, Franziska, Dunn, Erin C, Ehli, Erik A, Eley, Thalia C, Escott-Price, Valentina, Hickie, Ian B, Esko, Tõnu, Finucane, Hilary K, Gill, Michael, Gordon, Scott D, Grove, Jakob, Hall, Lynsey S, Hansen, Thomas F, Søholm Hansen, Christine, Heath, Andrew C, Hansell, Narelle K, Henders, Anjali K, Herms, Stefan, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke- Jan, Hougaard, David, Huang, Hailiang, Ising, Marcus, Jansen, Rick, Wright, Margaret J, Jorgenson, Eric, Kloiber, Stefan, Knowles, James A, Kretzschmar, Warren W, Krogh, Jesper, Kutalik, Zoltán, Lang, Maren, Lewis, Glyn, Li, Yihan, MacIntyre, Donald J, Gillespie, Nathan A, Madden, Pamela Af, Marchine, Jonathan, Mbarek, Hamdi, McGuffin, Peter, Mehta, Divya, Metspalu, Andres, Middeldorp, Christel M, Mihailov, Evelin, Milani, Lili, Montgomery, Grant W, Forstner, Andreas J, Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nordentoft, Merete, Nyholt, Dale R, O'Donovan, Michael C, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Schulze, Thomas G, Paciga, Sara A, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Pedersen, Nancy L, Pergadia, Michele L, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Porteous, David J, Posthuma, Danielle, Wüst, Stefan, Potash, James B, Quiroz, Jorge A, Rice, John P, Riley, Brien P, Rivera, Margarita, Ruderfer, Douglas M, Saeed Mirza, Saira, Schoevers, Robert, Shen, Ling, Shi, Jianxin, Nöthen, Markus M, Sigurdsson, Engilbert, Sinnamon, Grant Cb, Smit, Johannes H, Smith, Daniel J, Smoller, Jordan W, Stephansson, Hreinn, Steinberg, Stacy, Strohmaier, Jana, Tansey, Katherine E, Teumer, Alexander, Baumgartner, Markus R, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Treutlein, Jens, Trzaskowski, Maciej, Umbricht, Daniel, van der Auwera, Sandra, van Grootheest, Gerard, van Hemert, Albert M, Viktorin, Alexander, Zhu, Gu, Walker, Brian R, Völzke, Henry, Wang, Yunpeng, Webb, Bradley T, Weissman, Myrna M, Wellmann, Jürgen, Willemsen, Gonneke, Xi, Hualin S, Baune, Bernhard T, Blackwood, Douglas H R, Boomsma, Dorret I, Crawford, Andrew A, Børglum, Anders D, Buttenschøn, Henriette N, Cichon, Sven, Domenici, Enrico, Flint, Jonathan, Grabe, Hans J, Hamilton, Steven P, Kendler, Kenneth S, Li, Qingqin S, Lucae, Susanne, Colodro-Conde, Lucía, Magnusson, Patrik K, McIntosh, Andrew M, Mors, Ole, Bo Mortensen, Preben, Müller-Myhsok, Bertram, Penninx, Brenda Wjh, Perlis, Roy H, Preisig, Martin, Schaefer, Catherine, Medland, Sarah E, Stephansson, Kari, Tiemeier, Henning, Uher, Rudolf, Werge, Thomas, Winslow, Ashley R, Breen, Gerome, Levinson, Douglas F, Lewis, Cathryn M, Wray, Naomi R, Sullivan, Patrick F, Martin, Nicholas G, Rietschel, Marcella, Bolton, Jennifer L, Hayward, Caroline, Direk, Nese, Anderson, Anna, McAloney, Kerrie, Huffman, Jennifer, Wilson, James F, Campbell, Harry, Rudan, Igor, Wright, Alan, Hastie, Nicholas, Wild, Sarah H, Velders, Fleur P, Hofman, Albert, Uitterlinden, Andre G, Frank, Josef, Lahti, Jari, Räikkönen, Katri, Kajantie, Eero, Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G, Kaakinen, Marika, Järvelin, Marjo-Riitta, Timpson, Nicholas J, Davey Smith, George, Couvy-Duchesne, Baptiste, Ring, Susan M, Evans, David M, St Pourcain, Beate, Tanaka, Toshiko, Milaneschi, Yuri, Bandinelli, Stefania, Ferrucci, Luigi, van der Harst, Pim, Rosmalen, Judith Gm, Bakker, Stephen Jl, Witt, Stephanie H, Verweij, Niek, Dullaart, Robin Pf, Mahajan, Anubha, Lindgren, Cecilia M, Morris, Andrew, Lind, Lars, Ingelsson, Erik, Anderson, Laura N, Pennell, Craig E, Lye, Stephen J, Binz, Tina M, Matthews, Stephen G, Eriksson, Joel, Mellstrom, Dan, Ohlsson, Claes, Price, Jackie F, Strachan, Mark Wj, Reynolds, Rebecca M, Ripke, Stephan, Mattheisen, Manuel, CORtisolNETwork, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till Fm, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan Tf, Bennett, David A, Berger, Klaus, Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Bigdeli, Tim B, Bybjerg-Grauholm, Jonas, Byrne, Enda M, Cai, Na, Castelao, Enrique, Clarke, Toni-Kim, Coleman, Jonathan Ri, Consortium, Converge, Craddock, Nick, Dannlowski, Udo, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, Internal medicine, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Methodology, APH - Digital Health, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, University of Zurich, Rietschel, Liz, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, and APH - Personalized Medicine
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Male ,Oncology ,Netherlands Twin Register (NTR) ,Multifactorial Inheritance ,Hydrocortisone ,lcsh:Medicine ,340 Law ,Genome-wide association study ,3124 Neurology and psychiatry ,0302 clinical medicine ,Twins, Dizygotic ,SOCIOECONOMIC-STATUS ,Young adult ,lcsh:Science ,Child ,610 Medicine & health ,Genetics ,Multidisciplinary ,Depression ,PSYCHIATRIC-DISORDERS ,10218 Institute of Legal Medicine ,Neuroticism ,DEPRESSIVE SYMPTOMS ,MORNING CORTISOL ,Female ,FUTURE-DIRECTIONS ,Adult ,medicine.medical_specialty ,Cortisol awakening response ,Adolescent ,PERCEIVED STRESS ,Biology ,Genetic correlation ,Article ,LONG-TERM CORTISOL ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Internal medicine ,medicine ,Journal Article ,Humans ,neoplasms ,Behavioural genetics ,1000 Multidisciplinary ,Models, Genetic ,lcsh:R ,Twins, Monozygotic ,ADRENAL AXIS ACTIVITY ,MAJOR DEPRESSION ,Heritability ,Twin study ,R1 ,digestive system diseases ,030227 psychiatry ,ddc:000 ,INTRAINDIVIDUAL STABILITY ,lcsh:Q ,Stress, Psychological ,030217 neurology & neurosurgery ,Hair - Abstract
Hair cortisol concentration (HCC) is a promising measure of long-term hypothalamus-pituitary-adrenal (HPA) axis activity. Previous research has suggested an association between HCC and psychological variables, and initial studies of inter-individual variance in HCC have implicated genetic factors. However, whether HCC and psychological variables share genetic risk factors remains unclear. The aims of the present twin study were to: (i) assess the heritability of HCC; (ii) estimate the phenotypic and genetic correlation between HPA axis activity and the psychological variables perceived stress, depressive symptoms, and neuroticism; using formal genetic twin models and molecular genetic methods, i.e. polygenic risk scores (PRS). HCC was measured in 671 adolescents and young adults. These included 115 monozygotic and 183 dizygotic twin-pairs. For 432 subjects PRS scores for plasma cortisol, major depression, and neuroticism were calculated using data from large genome wide association studies. The twin model revealed a heritability for HCC of 72%. No significant phenotypic or genetic correlation was found between HCC and the three psychological variables of interest. PRS did not explain variance in HCC. The present data suggest that HCC is highly heritable. However, the data do not support a strong biological link between HCC and any of the investigated psychological variables. Consortia CORtisolNETwork (CORNET) Consortium Jennifer L. Bolton21 Caroline Hayward23 Nese Direk24,25 Anna Anderson21 Jennifer Huffman23 James F. Wilson26 Harry Campbell26 Igor Rudan26 Alan Wright23 Nicholas Hastie23 Sarah H. Wild26 Fleur P. Velders24 Albert Hofman24 Andre G. Uitterlinden24,27 Jari Lahti28 Katri Räikkönen28 Eero Kajantie29 Elisabeth Widen30 Aarno Palotie30,31 Johan G. Eriksson29,32,33,34,35 Marika Kaakinen36 Marjo-Riitta Järvelin36,37,38,39 Nicholas J. Timpson40 George Davey Smith40 Susan M. Ring41 David M. Evans40 Beate St Pourcain41 Toshiko Tanaka42 Yuri Milaneschi42,43 Stefania Bandinelli44 Luigi Ferrucci42 Pim van der Harst45,46,47 Judith GM Rosmalen48 Stephen JL Bakker49 Niek Verweij45 Robin PF Dullaart49 Anubha Mahajan50 Cecilia M. Lindgren50 Andrew Morris50 Lars Lind51 Erik Ingelsson51 Laura N. Anderson52 Craig E. Pennell53 Stephen J. Lye52 Stephen G. Matthews54 Joel Eriksson55 Dan Mellstrom55 Claes Ohlsson55 Jackie F. Price26 Mark WJ Strachan21 Rebecca M. Reynolds21 Henning Tiemeier24,56,57 Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (PGC) Stephan Ripke58,59,60 Manuel Mattheisen61,62,63 Abdel Abdellaoui64 Mark J. Adams65 Esben Agerbo66,8,67 Tracy M. Air68 Till FM Andlauer69,70 Silviu-Alin Bacanu71 Marie Bækvad-Hansen67,72 Aartjan TF Beekman43 David A. Bennett73 Klaus Berger74 Tim B. Bigdeli71,11 Jonas Bybjerg-Grauholm67,72 Enda M. Byrne5 Na Cai75 Enrique Castelao76 Toni-Kim Clarke65 Jonathan RI Coleman77 Converge Consortium78 Nick Craddock79 Udo Dannlowski80,81 Gareth Davies82 Gail Davies83 Eco. J. C. de Geus64,84 Philip De Jager85 Ian J. Deary83 Franziska Degenhardt12,13 Erin C. Dunn86,87,88 Erik A. Ehli82 Thalia C. Eley77 Valentina Escott-Price89 Tõnu Esko58,90,91,92 Hilary K. Finucane93,94 Michael Gill95 Scott D. Gordon96 Jakob Grove61,62,67,97 Lynsey S. Hall65,98 Thomas F. Hansen99,100 Christine Søholm Hansen67,72 Thomas F. Hansen101 Andrew C. Heath102 Anjali K. Henders5 Stefan Herms12,13,15 Per Hoffmann12,13,15 Georg Homuth103 Carsten Horn104 Jouke- Jan Hottenga64 David Hougaard67,72 Hailiang Huang59,86,105 Marcus Ising106 Rick Jansen43 Eric Jorgenson107 Stefan Kloiber108,109 James A Knowles110 Warren W. Kretzschmar50 Jesper Krogh111 Zoltán Kutalik112,113 Maren Lang3 Glyn Lewis114 Yihan Li50 Donald J. MacIntyre115,116 Pamela AF Madden102 Jonathan Marchine117 Hamdi Mbarek118,64 Peter McGuffin77 Divya Mehta119 Andres Metspalu92,120 Christel M. Middeldorp64 Evelin Mihailov92,121 Lili Milani92 Grant W. Montgomery122 Sara Mostafavi123,124 Niamh Mullins77 Matthias Nauck125,126 Bernard Ng124 Merete Nordentoft67,127 Dale R. Nyholt128 Michael C. O’Donovan129 Paul F. O’Reilly77 Hogni Oskarsson130 Michael J. Owen129 Sara A. Paciga131 Carsten Bøcker Pedersen66,67,8 Marianne Giørtz Pedersen66,67,8 Nancy L. Pedersen132 Michele L. Pergadia133 Roseann E. Peterson11,71 Erik Pettersson134 Wouter J. Peyrot43 David J. Porteous135 Danielle Posthuma136,137 James B. Potash138 Jorge A. Quiroz139 John P. Rice102 Brien P. Riley71 Margarita Rivera77,140 Douglas M. Ruderfer141 Saira Saeed Mirza24 Robert Schoevers142 Ling Shen107 Jianxin Shi143 Engilbert Sigurdsson144 Grant CB Sinnamon145 Johannes H. Smit43 Daniel J. Smith146 Jordan W. Smoller86 Hreinn Stephansson147 Stacy Steinberg147 Jana Strohmaier3 Katherine E. Tansey148 Alexander Teumer149 Wesley Thompson100,135,150,151,152 Pippa A. Thomson135 Thorgeir E. Thorgeirsson147 Jens Treutlein3 Maciej Trzaskowski153 Daniel Umbricht154 Sandra van der Auwera155 Gerard van Grootheest43 Albert M. van Hemert156 Alexander Viktorin132 Henry Völzke149 Yunpeng Wang67,100,151 Bradley T. Webb157 Myrna M. Weissman158,159 Jürgen Wellmann74 Gonneke Willemsen64 Hualin S. Xi160 Bernhard T. Baune68 Douglas H. R. Blackwood65 Dorret I. Boomsma64 Anders D. Børglum61,62,67 Henriette N. Buttenschøn62,67,161 Sven Cichon12,162,163,164 Enrico Domenici165 Jonathan Flint50,166 Hans J. Grabe155 Steven P. Hamilton167 Kenneth S. Kendler71 Qingqin S. Li168 Susanne Lucae106 Patrik K. Magnusson132 Andrew M. McIntosh65,83 Ole Mors67,169 Preben Bo Mortensen62,8,67 Bertram Müller-Myhsok69,70,170 Brenda WJH Penninx43 Roy H. Perlis87,171 Martin Preisig76 Catherine Schaefer107 Jordan W. Smoller87,88 Kari Stephansson147 Henning Tiemeier24,56,57 Rudolf Uher172 Thomas Werge100,150,173 Ashley R. Winslow174,175 Gerome Breen77,176 Douglas F. Levinson177 Cathryn M. Lewis77,178 Naomi R. Wray5,153 Patrick F. Sullivan134,179,180 23MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK. 24Department of Epidemiology, Erasmus Medical Centre, Rotterdam, Netherlands. 25Psychiatry, Dokuz Eylul University School Of Medicine, Izmir, TR, Turkey. 26Centre for Population Health Sciences, Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH8 9AG, UK. 27Internal Medicine, Erasmus MC, Rotterdam, NL, Netherlands. 28Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland. 29National Institute for Health and Welfare, Helsinki, Finland. 30Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland. 31Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland. 32Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland. 33Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland. 34Folkhalsan Research Centre, Helsinki, Finland. 35Vasa Central Hospital, Vasa, Finland. 36Institute of Health Sciences and Biocenter Oulu, University of Oulu, Oulu, Finland. 37Department of Children and Yond People and Families, National Institute for Health and elfare, Oulu, Finland. 38Department of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, Imperial College London, London, UK. 39Unit of Primary Care, Oulu University Hospital, Oulu, Finland. 40MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK. 41School of Social and Community Medicine, University of Bristol, Bristol, UK. 42Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, Baltimore, MD, USA. 43Department of Psychiatry, VU University Medical Center/GGZ inGeest, Amsterdam, Netherlands. 44Geriatric Unit, ASF, Florence, Italy. 45University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, Netherlands. 46University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, Netherlands. 47Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Netherlands. 48University of Groningen, University Medical Center Groningen, Interdisciplinary Center for Psychiatric Epidemiology, Groningen, Netherlands. 49University of Groningen, University Medical Center Groningen, Department of Internal Medicine, Groningen, Netherlands. 50Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. 51Department of Medical Sciences, Uppsala University, Uppsala, Sweden. 52Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada. 53School of Women’s and Infant’s Health, The University of Western Australia, Crawley, Australia. 54Department of Physiology, University of Toronto, Toronto, Ontario, Canada. 55Center for Bone and Arthritis Research, Institute of Medicin, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. 56Child and Adolescent Psychiatry, Erasmus MC, Rotterdam, Netherlands. 57Psychiatry, Erasmus MC, Rotterdam, Netherlands. 58Medical and Population Genetics, Broad Institute, Cambridge, USA. 59Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, USA. 60Department of Psychiatry and Psychotherapy, Universitätsmedizin Berlin Campus Charité Mitte, Berlin, Germany. 61Department of Biomedicine, Aarhus University, Aarhus, Denmark. 62iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark. 63iSPYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark. 64Dept of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands. 65Division of Psychiatry, University of Edinburgh, Edinburgh, UK. 66Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark. 67iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark. 68Discipline of Psychiatry, University of Adelaide, Adelaide, Australia. 69Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany. 70Munich Cluster for Systems Neurology (SyNergy), Munich, Germany. 71Department of Psychiatry, Virginia Commonwealth University, Richmond, USA. 72Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark. 73Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, USA. 74Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, UK. 75Human Genetics, Wellcome Trust Sanger Institute, Cambridge, UK. 76Department of Psychiatry, University Hospital of Lausanne, Prilly, Switzerland. 77MRC Social Genetic and Developmental Psychiatry Centre, King’s College London, London, UK. 78University of Oxford, Oxford, UK. 79Psychological Medicine, Cardiff University, Cardiff, UK. 80Department of Psychiatry, University of Marburg, Marburg, Germany. 81Department of Psychiatry, University of Münster, Münster, Germany. 82Avera Institute for Human Genetics, Sioux Falls, USA. 83Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK. 84EMGO+ Institute, VU University Medical Center, Amsterdam, Netherlands. 85Neurology, Brigham and Women’s Hospital, Boston, USA. 86Stanley Center for Psychiatric Research, Broad Institute, Cambridge, USA. 87Department of Psychiatry, Massachusetts General Hospital, Boston, USA. 88Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, USA. 89Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK. 90Division of Endocrinology, Children’s Hospital Boston, Boston, USA. 91Department of Genetics, Harvard Medical School, Boston, USA. 92Estonian Genome Center, University of Tartu, Tartu, Estonia. 93Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA. 94Department of Mathematics, Massachusetts Institute of Technology, Cambridge, USA. 95Department of Psychiatry, Trinity College Dublin, Dublin, Ireland. 96Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia. 97Bioinformatics Research Centre (BiRC), Aarhus University, Aarhus, Denmark. 98Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK. 99Danish Headache Centre, Department of Neurology, Rigshospitalet Glostrup, Glostrup, Denmark. 100Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Capital Region of Denmark, Roskilde, Denmark. 101iPSYCH, The Lundbeck Foundation Initiative for Psychiatric Research, Copenhagen, Denmark. 102Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, USA. 103Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany. 104Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland. 105Department of Medicine, Harvard Medical School, Boston, USA. 106Max Planck Institute of Psychiatry, Munich, Germany. 107Division of Research, Kaiser Permanente Northern California, Oakland, USA. 108Centre for Addiction and Mental Health, Toronto, Canada. 109Department of Psychiatry, University of Toronto, Toronto, Canada. 110Psychiatry & The Behavioral Sciences, University of Southern California, Los Angeles, USA. 111Department of Endocrinology at Herlev University Hospital, University of Copenhagen, Copenhagen, Denmark. 112Swiss Institute of Bioinformatics, Lausanne, Switzerland. 113Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland. 114Division of Psychiatry, University College London, London, UK. 115Mental Health NHS 24, Glasgow, UK. 116Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. 117Statistics, University of Oxford, Oxford, UK. 118EMGO+ Institute for Health and Care Research, Amsterdam, Netherlands. 119School of Psychology and Counseling, Queensland University of Technology, Brisbane, Australia. 120Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia. 121Estonian Biocentre, Tartu, Estonia. 122Institute for Molecular Biology, University of Queensland, Brisbane, Australia. 123Medical Genetics, University of British Columbia, Vancouver, Canada. 124Statistics, University of British Columbia, Vancouver, Canada. 125DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Matthias Nauck, Greifswald, Germany. 126Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany. 127Mental Health Centre Copenhagen, Copenhagen Universtity Hospital, Copenhagen, Denmark. 128Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. 129MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK. 130Humus, Reykjavik, Iceland. 131Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Groton, USA. 132Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 133Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, USA. 134Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 135Medical Genetics Section, CGEM, IGMM, University of Edinburgh, Edinburgh, UK. 136Complex Trait Genetics, VU University Amsterdam, Amsterdam, Netherlands. 137Clinical Genetics, VU University Medical Center, Amsterdam, Netherlands. 138Psychiatry, University of Iowa, Iowa City, USA. 139Solid GT, Boston, USA. 140Department of Biochemistry and Molecular Biology II, Institute of Neurosciences, Center for Biomedical Research, University of Granada, Granada, Spain. 141Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA. 142Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands. 143Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA. 144Faculty of Medicine, Department of Psychiatry, School of Health Sciences, University of Iceland, Reykjavik, Iceland. 145School of Medicine and Dentistry, James Cook University, Townsville, Australia. 146Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK. 147deCODE Genetics/Amgen, Reykjavik, Iceland. 148College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK. 149Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany. 150iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark. 151KG Jebsen Centre for Psychosis Research, Norway Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. 152Department of Psychiatry, University of California, San Diego, San Diego, USA. 153Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia. 154Roche Pharmaceutical Research and Early Development, Neuroscience, Ophthalmology and Rare Diseases Discovery & Translational Medicine Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland. 155Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany. 156Department of Psychiatry, Leiden University Medical Center, Leiden, Netherlands. 157Virginia Institute of Psychiatric & Behavioral Genetics, Virginia Commonwealth University, Richmond, USA. 158Psychiatry, Columbia University College of Physicians and Surgeons, New York, USA. 159Division of Epidemiology, New York State Psychiatric Institute, New York, USA. 160Computational Sciences Center of Emphasis, Pfizer Global Research and Development, Cambridge, USA. 161Department of Clinical Medicine, Translational Neuropsychiatry Unit, Aarhus University, Aarhus, Denmark. 162Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany. 163Department of Biomedicine, University of Basel, Basel, CH, Switzerland. 164Division of Medical Genetics, University of Basel, Basel, CH, Switzerland. 165Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy. 166Psychiatry, University of California Los Angeles, Los Angeles, USA. 167Psychiatry, Kaiser Permanente Northern California, San Francisco, USA. 168Neuroscience Therapeutic Area, Janssen Research and Development, LLC, Titusville, USA. 169Psychosis Research Unit, Aarhus University Hospital, Risskov, Aarhus, Denmark. 170Institute of Translational Medicine, University of Liverpool, Liverpool, UK. 171Psychiatry, Harvard Medical School, Boston, USA. 172Psychiatry, Dalhousie University, Halifax, Canada. 173Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. 174Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Cambridge, USA. 175Orphan Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA. 176NIHR BRC for Mental Health, King’s College London, London, UK. 177Psychiatry & Behavioral Sciences, Stanford University, Stanford, USA. 178Department of Medical & Molecular Genetics, King’s College London, London, UK. 179Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, USA. 180Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA.
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- 2017
16. Incidence of ischaemic heart disease and stroke among people with psychiatric disorders: retrospective cohort study.
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Jackson, Caroline A., Kerssens, Joannes, Fleetwood, Kelly, Smith, Daniel J., Mercer, Stewart W., and Wild, Sarah H.
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MENTAL illness ,HEART diseases ,BIPOLAR disorder ,STROKE ,COHORT analysis ,CARDIOVASCULAR diseases ,PSYCHIATRIC epidemiology ,RESEARCH ,MYOCARDIAL ischemia ,RESEARCH methodology ,DISEASE incidence ,RETROSPECTIVE studies ,MEDICAL cooperation ,EVALUATION research ,COMPARATIVE studies ,RESEARCH funding - Abstract
Background: Psychiatric disorders are associated with increased risk of ischaemic heart disease (IHD) and stroke, but it is not known whether the associations or the role of sociodemographic factors have changed over time.Aims: To investigate the association between psychiatric disorders and IHD and stroke, by time period and sociodemographic factors.Method: We used Scottish population-based records from 1991 to 2015 to create retrospective cohorts with a hospital record for psychiatric disorders of interest (schizophrenia, bipolar disorder or depression) or no record of hospital admission for mental illness. We estimated incidence and relative risks of IHD and stroke in people with versus without psychiatric disorders by calendar year, age, gender and area-based deprivation level.Results: In all cohorts, incidence of IHD (645 393 events) and stroke (276 073 events) decreased over time, but relative risks decreased for depression only. In 2015, at the mean age at event onset, relative risks were 2- to 2.5-fold higher in people with versus without a psychiatric disorder. Age at incidence of outcome differed by cohort, gender and socioeconomic status. Relative but not absolute risks were generally higher in women than men. Increasing deprivation conveys a greater absolute risk of IHD for people with bipolar disorder or depression.Conclusions: Despite declines in absolute rates of IHD and stroke, relative risks remain high in those with versus without psychiatric disorders. Cardiovascular disease monitoring and prevention approaches may need to be tailored by psychiatric disorder and cardiovascular outcome, and be targeted, for example, by age and deprivation level. [ABSTRACT FROM AUTHOR]- Published
- 2020
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17. Depressive symptoms, neuroticism, and participation in breast and cervical cancer screening: Cross-sectional and prospective evidence from UK Biobank.
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Niedzwiedz, Claire L., Robb, Kathryn A., Katikireddi, Srinivasa Vittal, Pell, Jill P., and Smith, Daniel J.
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EARLY detection of cancer ,CERVICAL cancer ,BREAST cancer ,NEUROTICISM ,PARTICIPATION ,CERVIX uteri tumors ,WORRY - Abstract
Objective: To assess the cross-sectional and prospective associations between depressive symptoms, neuroticism, and participation in breast and cervical screening in the UK.Methods: Women in the UK Biobank cohort with complete data who were eligible for breast cancer screening (aged 50-70 years, N = 143 461) and/or cervical screening (<65 years, N = 141 753) at baseline recruitment (2006-2010) and those with follow-up data (2014-2019) were identified (N = 11 050 and N = 9780 for breast and cervical screening). Depressive symptoms and neuroticism were self-reported at baseline (range 0-12 with higher scores reflecting greater severity). Primary outcomes were reporting being up to date with breast and cervical screening. For prospective analyses, patterns of screening participation from baseline to follow-up were identified. Logistic regression was used to analyse associations, adjusted for potential confounding factors.Results: More severe depressive symptoms were associated with reduced likelihood of breast (OR = 0.960, 95% CI: 0.950,0.970) and cervical (OR = 0.958, 95% CI: 0.950,0.966) screening participation, in cross-sectional analyses. Higher neuroticism scores were associated with reduced cervical screening participation, but the opposite was found for breast cancer screening. Examination of individual neuroticism items revealed that anxiety and worry were associated with increased breast screening. At follow-up, higher baseline depressive symptoms were related to decreased cervical screening (OR = 0.955, 95% CI: 0.913,0.999), but not with breast screening.Conclusions: More severe depressive symptoms may be a barrier for breast and cervical screening and could be an indicator for more proactive strategies to improve uptake. [ABSTRACT FROM AUTHOR]- Published
- 2020
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18. Genetic and environmental risk for chronic pain and the contribution of risk variants for major depressive disorder: a family-based mixed-model analysis
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McIntosh, Andrew M., Hall, Lynsey S., Zeng, Yanni, Adams, Mark J., Gibson, Jude, Wigmore, Eleanor, Hagenaars, Saskia P., Davies, Gail, Fernandez-Pujals, Ana Maria, Campbell, Archie I., Clarke, Toni-Kim, Hayward, Caroline, Haley, Chris S., Porteous, David J., Deary, Ian J., Smith, Daniel J., Nicholl, Barbara I., Hinds, David A., Jones, Amy V., Scollen, Serena, Meng, Weihua, Smith, Blair H., and Hocking, Lynne J.
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Adult ,Male ,Genotyping ,Multifactorial Inheritance ,Pain ,Genetic Predisposition ,Pathology and Laboratory Medicine ,Research and Analysis Methods ,Social Environment ,Signs and Symptoms ,Diagnostic Medicine ,Risk Factors ,Surveys and Questionnaires ,Mental Health and Psychiatry ,Medicine and Health Sciences ,Genome-Wide Association Studies ,Genetics ,Humans ,Family ,Molecular Biology Techniques ,Molecular Biology ,Aged ,Clinical Genetics ,Depressive Disorder, Major ,Mood Disorders ,Depression ,Biology and Life Sciences ,Computational Biology ,Human Genetics ,Genomics ,Middle Aged ,Genome Analysis ,United Kingdom ,Abdominal Pain ,Pedigree ,Health Care ,Genetics of Disease ,Medicine ,Female ,Health Services Research ,Chronic Pain ,Research Article ,Genome-Wide Association Study - Abstract
Background Chronic pain is highly prevalent and a significant source of disability, yet its genetic and environmental risk factors are poorly understood. Its relationship with major depressive disorder (MDD) is of particular importance. We sought to test the contribution of genetic factors and shared and unique environment to risk of chronic pain and its correlation with MDD in Generation Scotland: Scottish Family Health Study (GS:SFHS). We then sought to replicate any significant findings in the United Kingdom Biobank study. Methods and Findings Using family-based mixed-model analyses, we examined the contribution of genetics and shared family environment to chronic pain by spouse, sibling, and household relationships. These analyses were conducted in GS:SFHS (n = 23,960), a family- and population-based study of individuals recruited from the Scottish population through their general practitioners. We then examined and partitioned the correlation between chronic pain and MDD and estimated the contribution of genetic factors and shared environment in GS:SFHS. Finally, we used data from two independent genome-wide association studies to test whether chronic pain has a polygenic architecture and examine whether genomic risk of psychiatric disorder predicted chronic pain and whether genomic risk of chronic pain predicted MDD. These analyses were conducted in GS:SFHS and repeated in UK Biobank, a study of 500,000 from the UK population, of whom 112,151 had genotyping and phenotypic data. Chronic pain is a moderately heritable trait (heritability = 38.4%, 95% CI 33.6% to 43.9%) that is significantly concordant in spouses (variance explained 18.7%, 95% CI 9.5% to 25.1%). Chronic pain is positively correlated with depression (ρ = 0.13, 95% CI 0.11 to 0.15, p = 2.72x10-68) and shows a tendency to cluster within families for genetic reasons (genetic correlation = 0.51, 95%CI 0.40 to 0.62, p = 8.24x10-19). Polygenic risk profiles for pain, generated using independent GWAS data, were associated with chronic pain in both GS:SFHS (maximum β = 6.18x10-2, 95% CI 2.84 x10-2 to 9.35 x10-2, p = 4.3x10-4) and UK Biobank (maximum β = 5.68 x 10−2, 95% CI 4.70x10-2 to 6.65x10-2 , p < 3x10-4). Genomic risk of MDD is also significantly associated with chronic pain in both GS:SFHS (maximum β = 6.62x10-2, 95% CI 2.82 x10-2 to 9.76 x10-2 , p = 4.3x10-4) and UK Biobank (maximum β = 2.56x10-2, 95% CI 1.62x10-2 to 3.63x10-2 , p < 3x10-4). Limitations of the current study include the possibility that spouse effects may be due to assortative mating and the relatively small polygenic risk score effect sizes. Conclusions Genetic factors, as well as chronic pain in a partner or spouse, contribute substantially to the risk of chronic pain for an individual. Chronic pain is genetically correlated with MDD, has a polygenic architecture, and is associated with polygenic risk of MDD., Andrew M. McIntosh and colleagues investigate the genetic and environmental factors associated with chronic pain and and major depressive disorder., Author Summary Why Was This Study Done? Genetic factors and the environment you share with your nuclear family, siblings, or spouse may determine your risk of chronic pain. Depression is also associated with chronic pain, but whether this relationship is explained by shared genetic factors, environment, or both is not known. We sought to investigate these issues using genetic data and family environmental information from Generation Scotland: Scottish Family Health Study and UK Biobank. What Did the Researchers Do and Find? Using data from the family-based Generation Scotland study, we found that genetic factors and the environment you share with your partner/spouse are important risk factors for the development of chronic pain. Shared genetic and environmental factors also partly explained the association between chronic pain and depression. Finally, we found evidence showing that the genetic contribution to chronic pain arises through the combined effect of many different genetic risk factors and that the cumulative effects of genetic risk factors for depression increased an individual’s chance of having chronic pain. What Do These Findings Mean? Both genetic factors and chronic pain in a partner or spouse contribute to the risk of chronic pain for an individual. Chronic pain is caused by an accumulation of many small genetic effects and is associated with some of the same genetic and environmental risk factors that confer risk of depression.
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- 2016
19. The associations between self-reported depression, self-reported chronic inflammatory conditions and cognitive abilities in UK Biobank.
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Lyall, Laura M., Cullen, Breda, Lyall, Donald M., Leighton, Samuel P., Siebert, Stefan, Smith, Daniel J., and Cavanagh, Jonathan
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COGNITIVE ability ,CHRONIC diseases ,COGNITIVE testing ,TRAIL Making Test ,SOCIODEMOGRAPHIC factors - Abstract
Depression and chronic inflammatory medical conditions have been linked to impaired cognitive ability. However despite frequent comorbidity, their combined association with cognitive ability has rarely been examined. This study examined associations between self-reported depression and chronic inflammatory diseases and their interaction with cognitive performance in 456,748 participants of the UK Biobank, adjusting for sociodemographic and lifestyle factors. Numbers with available data ranged from 94,899 to 453,208 depending on the cognitive test. Self-reported depression was associated with poorer performance compared to controls in several cognitive tests (fully adjusted models, reaction time: B = 6.08, 95% CI = 5.09, 7.07; pairs matching: incidence rate ratio = 1.02, 95% CI = 1.02, 1.03; Trail Making Test B: B = 1.37, 95% CI = 0.88, 1.87; Digit Symbol Substitution Test (DSST): B = −0.35, 95% CI = −0.44, −0.27). Self-reported chronic inflammatory conditions were associated with slower reaction time (B = 3.79, 95% CI = 2.81, 4.78) and lower DSST scores (B = −0.21, 95% CI = −0.30, −0.13). No interaction effects were observed. In this large, population-based study we provide evidence of lower cognitive performance in both depression and a comprehensive category of chronic inflammatory conditions. Results are consistent with additive effects of both types of disorder on cognitive ability. Clinicians should be aware of such effects, particularly as cognitive impairment is linked to poorer disease outcomes and quality of life. [ABSTRACT FROM AUTHOR]
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- 2019
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20. Genome-wide association study of multisite chronic pain in UK Biobank.
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Johnston, Keira J. A., Adams, Mark J., Nicholl, Barbara I., Ward, Joey, Strawbridge, Rona J., Ferguson, Amy, McIntosh, Andrew M., Bailey, Mark E. S., and Smith, Daniel J.
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CHRONIC pain ,GENOMES ,SINGLE nucleotide polymorphisms ,BODY mass index ,BIOBANKS - Abstract
Chronic pain is highly prevalent worldwide and represents a significant socioeconomic and public health burden. Several aspects of chronic pain, for example back pain and a severity-related phenotype ‘chronic pain grade’, have been shown previously to be complex heritable traits with a polygenic component. Additional pain-related phenotypes capturing aspects of an individual’s overall sensitivity to experiencing and reporting chronic pain have also been suggested as a focus for investigation. We made use of a measure of the number of sites of chronic pain in individuals within the UK general population. This measure, termed Multisite Chronic Pain (MCP), is a complex trait and its genetic architecture has not previously been investigated. To address this, we carried out a large-scale genome-wide association study (GWAS) of MCP in ~380,000 UK Biobank participants. Our findings were consistent with MCP having a significant polygenic component, with a Single Nucleotide Polymorphism (SNP) heritability of 10.2%. In total 76 independent lead SNPs at 39 risk loci were associated with MCP. Additional gene-level association analyses identified neurogenesis, synaptic plasticity, nervous system development, cell-cycle progression and apoptosis genes as enriched for genetic association with MCP. Genetic correlations were observed between MCP and a range of psychiatric, autoimmune and anthropometric traits, including major depressive disorder (MDD), asthma and Body Mass Index (BMI). Furthermore, in Mendelian randomisation (MR) analyses a causal effect of MCP on MDD was observed. Additionally, a polygenic risk score (PRS) for MCP was found to significantly predict chronic widespread pain (pain all over the body), indicating the existence of genetic variants contributing to both of these pain phenotypes. Overall, our findings support the proposition that chronic pain involves a strong nervous system component with implications for our understanding of the physiology of chronic pain. These discoveries may also inform the future development of novel treatment approaches. [ABSTRACT FROM AUTHOR]
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- 2019
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21. Treatment-resistant and multi-therapy-resistant criteria for bipolar depression: consensus definition.
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Hidalgo-Mazzei, Diego, Berk, Michael, Cipriani, Andrea, Cleare, Anthony J., Di Florio, Arianna, Dietch, Daniel, Geddes, John R., Goodwin, Guy M., Grunze, Heinz, Hayes, Joseph F., Jones, Ian, Kasper, Siegfried, Macritchie, Karine, McAllister-Williams, R. Hamish, Morriss, Richard, Nayrouz, Sam, Pappa, Sofia, Soares, Jair C., Smith, Daniel J., and Suppes, Trisha
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BIPOLAR disorder ,MENTAL depression ,DEPRESSED persons ,DELPHI method ,PSYCHIATRY - Abstract
Background: Most people with bipolar disorder spend a significant percentage of their lifetime experiencing either subsyndromal depressive symptoms or major depressive episodes, which contribute greatly to the high levels of disability and mortality associated with the disorder. Despite the importance of bipolar depression, there are only a small number of recognised treatment options available. Consecutive treatment failures can quickly exhaust these options leading to treatment-resistant bipolar depression (TRBD). Remarkably few studies have evaluated TRBD and those available lack a comprehensive definition of multi-therapy-resistant bipolar depression (MTRBD).AimsTo reach consensus regarding threshold definitions criteria for TRBD and MTRBD.Method: Based on the evidence of standard treatments available in the latest bipolar disorder treatment guidelines, TRBD and MTRBD criteria were agreed by a representative panel of bipolar disorder experts using a modified Delphi method.Results: TRBD criteria in bipolar depression was defined as failure to reach sustained symptomatic remission for 8 consecutive weeks after two different treatment trials, at adequate therapeutic doses, with at least two recommended monotherapy treatments or at least one monotherapy treatment and another combination treatment. MTRBD included the same initial definition as TRBD, with the addition of failure of at least one trial with an antidepressant, a psychological treatment and a course of electroconvulsive therapy.Conclusions: The proposed TRBD and MTRBD criteria may provide an important signpost to help clinicians, researchers and stakeholders in judging how and when to consider new non-standard treatments. However, some challenging diagnostic and therapeutic issues were identified in the consensus process that need further evaluation and research.Declaration of interestIn the past 3 years, M.B. has received grant/research support from the NIH, Cooperative Research Centre, Simons Autism Foundation, Cancer Council of Victoria, Stanley Medical Research Foundation, MBF, NHMRC, Beyond Blue, Rotary Health, Geelong Medical Research Foundation, Bristol Myers Squibb, Eli Lilly, Glaxo SmithKline, Meat and Livestock Board, Organon, Novartis, Mayne Pharma, Servier, Woolworths, Avant and the Harry Windsor Foundation, has been a speaker for Astra Zeneca, Bristol Myers Squibb, Eli Lilly, Glaxo SmithKline, Janssen Cilag, Lundbeck, Merck, Pfizer, Sanofi Synthelabo, Servier, Solvay and Wyeth and served as a consultant to Allergan, Astra Zeneca, Bioadvantex, Bionomics, Collaborative Medicinal Development, Eli Lilly, Grunbiotics, Glaxo SmithKline, Janssen Cilag, LivaNova, Lundbeck, Merck, Mylan, Otsuka, Pfizer and Servier. A.C. has received fees for lecturing from pharmaceutical companies namely Lundbeck and Sunovion. A.J.C. has in the past 3 years received honoraria for speaking from Astra Zeneca and Lundbeck, honoraria for consulting from Allergan, Janssen, Lundbeck and LivaNova and research grant support from Lundbeck. G.M.G. holds shares in P1Vital and has served as consultant, advisor or CME speaker for Allergan, Angelini, Compass pathways, MSD, Lundbeck, Otsuka, Takeda, Medscape, Minervra, P1Vital, Pfizer, Servier, Shire and Sun Pharma. J.G. has received research funding from National Institute for Health Research, Medical Research Council, Stanley Medical Research Institute and Wellcome. H.G. received grants/research support, consulting fees or honoraria from Gedeon Richter, Genericon, Janssen Cilag, Lundbeck, Otsuka, Pfizer and Servier. R.H.M.-W. has received support for research, expenses to attend conferences and fees for lecturing and consultancy work (including attending advisory boards) from various pharmaceutical companies including Astra Zeneca, Cyberonics, Eli Lilly, Janssen, Liva Nova, Lundbeck, MyTomorrows, Otsuka, Pfizer, Roche, Servier, SPIMACO and Sunovion. R.M. has received research support from Big White Wall, Electromedical Products, Johnson and Johnson, Magstim and P1Vital. S.N. received honoraria from Lundbeck, Jensen and Otsuka. J.C.S. has received funds for research from Alkermes, Pfizer, Allergan, J&J, BMS and been a speaker or consultant for Astellas, Abbott, Sunovion, Sanofi. S.W has, within the past 3 years, attended advisory boards for Sunovion and LivaNova and has undertaken paid lectures for Lundbeck. D.J.S. has received honoraria from Lundbeck. T.S. has reported grants from Pathway Genomics, Stanley Medical Research Institute and Palo Alto Health Sciences; consulting fees from Sunovion Pharamaceuticals Inc.; honoraria from Medscape Education, Global Medical Education and CMEology; and royalties from Jones and Bartlett, UpToDate and Hogrefe Publishing. S.P. has served as a consultant or speaker for Janssen, and Sunovion. P.T. has received consultancy fees as an advisory board member from the following companies: Galen Limited, Sunovion Pharmaceuticals Europe Ltd, myTomorrows and LivaNova. E.V. received grants/ research support, consulting fees or honoraria from Abbott, AB-Biotics, Allergan, Angelini, Dainippon Sumitomo, Ferrer, Gedeon Richter, Janssen, Lundbeck, Otsuka and Sunovion. L.N.Y. has received grants/research support, consulting fees or honoraria from Allergan, Alkermes, Dainippon Sumitomo, Janssen, Lundbeck, Otsuka, Sanofi, Servier, Sunovion, Teva and Valeant. A.H.Y. has undertaken paid lectures and advisory boards for all major pharmaceutical companies with drugs used in affective and related disorders and LivaNova. He has also previously received funding for investigator-initiated studies from AstraZeneca, Eli Lilly, Lundbeck and Wyeth. P.R.A.S. has received research funding support from Corcept Therapeutics Inc. Corcept Therapeutics Inc fully funded attendance at their internal conference in California USA and all related expenses. He has received grant funding from the Medical Research Council UK for a collaborative study with Janssen Research and Development LLC. Janssen Research and Development LLC are providing non-financial contributions to support this study. P.R.A.S. has received a presentation fee from Indivior and an advisory board fee from LivaNova. [ABSTRACT FROM AUTHOR]- Published
- 2019
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22. Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: Meta-analysis of three treatment cohorts.
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Ward, Joey, Graham, Nicholas, Strawbridge, Rona J., Ferguson, Amy, Jenkins, Gregory, Chen, Wenan, Hodgson, Karen, Frye, Mark, Weinshilboum, Richard, Uher, Rudolf, Lewis, Cathryn M., Biernacka, Joanna, and Smith, Daniel J.
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MONOGENISM & Polygenism (Human origins) ,NEUROTICISM ,ANTIDEPRESSANTS ,META-analysis ,HIERARCHY (Linguistics) - Abstract
There are currently no reliable approaches for correctly identifying which patients with major depressive disorder (MDD) will respond well to antidepressant therapy. However, recent genetic advances suggest that Polygenic Risk Scores (PRS) could allow MDD patients to be stratified for antidepressant response. We used PRS for MDD and PRS for neuroticism as putative predictors of antidepressant response within three treatment cohorts: The Genome-based Therapeutic Drugs for Depression (GENDEP) cohort, and 2 sub-cohorts from the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomics Study PRGN-AMPS (total patient number = 760). Results across cohorts were combined via meta-analysis within a random effects model. Overall, PRS for MDD and neuroticism did not significantly predict antidepressant response but there was a consistent direction of effect, whereby greater genetic loading for both MDD (best MDD result, p < 5*10–5 MDD-PRS at 4 weeks, β = -0.019, S.E = 0.008, p = 0.01) and neuroticism (best neuroticism result, p < 0.1 neuroticism-PRS at 8 weeks, β = -0.017, S.E = 0.008, p = 0.03) were associated with less favourable response. We conclude that the PRS approach may offer some promise for treatment stratification in MDD and should now be assessed within larger clinical cohorts. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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23. Adverse metabolic and mental health outcomes associated with shiftwork in a population-based study of 277,168 workers in UK biobank.
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Wyse, Cathy A., Celis Morales, Carlos A., Graham, Nicolas, Fan, Yu, Ward, Joey, Curtis, Anne M., Mackay, Daniel, Smith, Daniel J., Bailey, Mark E. S., Biello, Stephany, Gill, Jason M. R., and Pell, Jill P.
- Abstract
Background:Reported associations between shiftwork and health have largely been based on occupation-specific, or single sex studies that might not be generalizable to the entire working population. The objective of this study was to investigate whether shiftwork was independently associated with obesity, diabetes, poor sleep, and well-being in a large, UK general population cohort. Methods:Participants of the UK Biobank study who were employed at the time of assessment were included. Exposure variables were self-reported shiftwork (any shiftwork and night shiftwork); and outcomes were objectively measured obesity, inflammation and physical activity and self-reported lifestyle, sleep and well-being variables, including mental health. Results:Shiftwork was reported by 17% of the 277,168 employed participants. Shiftworkers were more likely to be male, socioeconomically deprived and smokers, and to have higher levels of physical activity. Univariately, and following adjustment for lifestyle and work-related confounders, shiftworkers were more likely to be obese, depressed, to report disturbed sleep, and to have neurotic traits. Conclusions:Shiftwork was independently associated with multiple indicators of poor health and wellbeing, despite higher physical activity, and even in shiftworkers that did not work nights. Shiftwork is an emerging social factor that contributes to disease in the urban environment across the working population.Key messagesStudies have linked shiftwork to obesity and diabetes in nurses and industry workers, but little is known about the implications of shiftwork for the general workforceIn this large cross sectional study of UK workers, shiftwork was associated with obesity, depression and sleep disturbance, despite higher levels of physical activity.Shiftwork was associated with multiple indicators of compromised health and wellbeing and were more likely to report neurotic traits and evening preference [ABSTRACT FROM PUBLISHER]
- Published
- 2017
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24. Monotherapy With Major Antihypertensive Drug Classes and Risk of Hospital Admissions for Mood Disorders.
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Boal, Angela H., Smith, Daniel J., McCallum, Linsay, Muir, Scott, Touyz, Rhian M., Dominiczak, Anna F., and Padmanabhan, Sandosh
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Major depressive and bipolar disorders predispose to atherosclerosis, and there is accruing data from animal model, epidemiological, and genomic studies that commonly used antihypertensive drugs may have a role in the pathogenesis or course of mood disorders. In this study, we propose to determine whether antihypertensive drugs have an impact on mood disorders through the analysis of patients on monotherapy with different classes of antihypertensive drugs from a large hospital database of 525 046 patients with follow-up for 5 years. There were 144 066 eligible patients fulfilling the inclusion criteria: age 40 to 80 years old at time of antihypertensive prescription and medication exposure >90 days. The burden of comorbidity assessed by Charlson and Elixhauser scores showed an independent linear association with mood disorder diagnosis. The median time to hospital admission with mood disorder was 847 days for the 299 admissions (641 685 person-years of follow-up). Patients on angiotensin-converting enzyme inhibitors or angiotensin receptor blockers had the lowest risk for mood disorder admissions, and compared with this group, those on β-blockers (hazard ratio=2.11; [95% confidence interval, 1.12-3.98]; P=0.02) and calcium antagonists (2.28 [95% confidence interval, 1.13-4.58]; P=0.02) showed higher risk, whereas those on no antihypertensives (1.63 [95% confidence interval, 0.94-2.82]; P=0.08) and thiazide diuretics (1.56 [95% confidence interval, 0.65-3.73]; P=0.32) showed no significant difference. Overall, our exploratory findings suggest possible differential effects of antihypertensive medications on mood that merits further study: calcium antagonists and β-blockers may be associated with increased risk, whereas angiotensin-converting enzyme inhibitors and angiotensin receptor blockers may be associated with a decreased risk of mood disorders. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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25. Ethnic differences in the association between depression and chronic pain: cross sectional results from UK Biobank.
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Nicholl, Barbara I., Smith, Daniel J., Cullen, Breda, Mackay, Daniel, Evans, Jonathan, Anderson, Jana, Lyall, Donald M., Fawns-Ritchie, Chloe, McIntosh, Andrew M., Deary, Ian J., Pell, Jill P., and Mair, Frances S.
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MENTAL depression risk factors , *ETHNIC groups , *ASIANS , *BLACK people , *CHRONIC pain , *CONFIDENCE intervals , *MENTAL depression , *RESEARCH funding , *WHITE people , *COMORBIDITY , *LOGISTIC regression analysis , *RELATIVE medical risk , *CROSS-sectional method , *DATA analysis software , *STATISTICAL models , *DESCRIPTIVE statistics , *ODDS ratio , *DISEASE complications - Abstract
Background: Comorbid chronic pain and depression is a challenging dyad of conditions to manage in primary care and reporting has shown to vary by ethnic group. Whether the relationship between depression and chronic pain varies by ethnicity is unclear. This study aims to explore chronic pain and depression reporting across ethnic groups and examine whether this association differs, independently of potential confounding factors. Methods: Cross-sectional study of UK Biobank participants with complete data on chronic pain and probable lifetime history of depression, who reported their ethnic group as White, Asian/Asian British or Black/Black British. Chronic pain classification: present if participants had ≥ 1 site of body pain (up to seven sites or "pain all over the body" could be selected) that lasted ≥ 3 months; extent of chronic pain categories: 0, 1, 2-3, 4-7 sites or pain all over the body. Probable depression classification: an algorithm of low mood, anhedonia and help-seeking behaviour. Relationship between depression and presence/extent of chronic pain assessed using logistic/ multinomial regression models (odds ratio (OR); relative risk ratio (RRR), 95 % confidence intervals), adjusted for sociodemographic, lifestyle, and morbidity factors; and a final adjustment for current depressive symptoms. Results: The number of participants eligible for inclusion was 144,139: 35,703 (94 %) White, 4539 (3 %) Asian, and 3897 (3 %) Black. Chronic pain was less (40.5 %, 45.8 %, 45.0 %, respectively) and depression more (22.1 %, 12.9 %, 13.8 %, respectively) commonly reported in White participants than Asian and Black participants. Statistically significant associations between depression and presence/extent of chronic pain persisted following adjustment for potential confounding variables; this relationship was strongest for Black participants (presence of chronic pain: OR 1.86 (1.52, 2.27); RRR 1 site 1.49 (1.16, 1.91), 2-3 sites 1.98 (1.53, 2.56), 4-7 sites 3.23 (2.09, 4.99), pain all over the body 3.31 (2.05, 5.33). When current depressive symptoms were considered these relationships were attenuated. Conclusions: Chronic pain and depression reporting varies across ethnic groups. Differences in health seeking behaviour between ethnic groups may impact on the results reported. Clinicians, particularly in primary care, need to be aware of the cultural barriers within certain ethic groups to expressing concern over mood and to consider their approach accordingly. [ABSTRACT FROM AUTHOR]
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- 2015
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26. Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants.
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Zia Ul-Haq, Smith, Daniel J., Nicholl, Barbara I., Cullen, Breda, Martin, Daniel, Gill, Jason M. R., Evans, Jonathan, Roberts, Beverly, Deary, Ian J., Gallacher, John, Hotopf, Matthew, Craddock, Nick, Mackay, Daniel F., and Pell, Jill P.
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MENTAL depression , *CROSS-sectional method , *BIOBANKS , *AFFECTIVE disorders , *BODY mass index , *OBESITY risk factors ,SEX differences (Biology) - Abstract
Background Previous studies on the association between adiposity and mood disorder have produced contradictory results, and few have used measurements other than body mass index (BMI). We examined the association between probable major depression and several measurements of adiposity: BMI, waist circumference (WC), waist-hip-ratio (WHR), and body fat percentage (BF%). Methods We conducted a cross-sectional study using baseline data on the sub-group of UK Biobank participants who were assessed for mood disorder. Multivariate logistic regression models were used, adjusting for potential confounders including: demographic and life-style factors, comorbidity and psychotropic medication. Results Of the 140,564 eligible participants, evidence of probable major depression was reported by 30,145 (21.5%). The fully adjusted odds ratios (OR) for obese participants were 1.16 (95% confidence interval (CI) 1.12, 1.20) using BMI, 1.15 (95% CI 1.11, 1.19) using WC, 1.09 (95% CI 1.05, 1.13) using WHR and 1.18 (95% CI 1.12, 1.25) using BF% (all p < 0.001). There was a significant interaction between adiposity and gender (p = 0.001). Overweight women were at increased risk of depression with a dose response relationship across the overweight (25.0-29.9 kg/m²), obese I (30.0-34.9 kg/m²), II (35.0-39.9 kg/m²) and III (≥40.0 kg/m²) categories; fully adjusted ORs 1.14, 1.20, 1.29 and 1.48, respectively (all p < 0.001). In contrast, only obese III men had significantly increased risk of depression (OR 1.29, 95% CI 1.08, 1.54, p = 0.006). Conclusion Adiposity was associated with probable major depression, irrespective of the measurement used. The association was stronger in women than men. Physicians managing overweight and obese women should be alert to this increased risk. [ABSTRACT FROM AUTHOR]
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- 2014
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27. Identifying hypomanic features in major depressive disorder using the hypomania checklist (HCL-32)
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Forty, Liz, Smith, Daniel, Jones, Lisa, Jones, Ian, Caesar, Sian, Fraser, Christine, Gordon-Smith, Katherine, and Craddock, Nick
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HYPOMANIA , *DEPRESSED persons , *DISEASE relapse , *QUESTIONNAIRES , *BIPOLAR disorder , *AFFECTIVE disorders , *DISEASES - Abstract
Abstract: Background: Recent studies have challenged the traditional unipolar/bipolar divide with increasing support for a more dimensional view of affective disorders. We here examine the occurrence of hypomanic symptoms in individuals with a history of major depression selected to exclude indicators of underlying bipolarity. Methods: The presence of hypomanic symptoms was assessed by the Hypomania Checklist (HCL-32) self-report questionnaire in a sample of almost 600 patients meeting DSM-IV criteria for Bipolar I disorder (BPI N =260) or Major Recurrent Depressive disorder (MDDR N =322). Subjects were recruited and assessed using consistent, robust methodology. Results: We found that a score of 20 or more on the HCL-32 yielded the best combination of sensitivity (68%) and specificity (83%) to distinguish between BPI and MDDR. Within our highly selected and well defined MDDR sample (for which exclusion criteria included personal or family histories of bipolar or psychotic illness), 17% of MDDR subjects scored over the threshold of 20 on the HCL-32. Conclusions: The HCL-32 identified a substantial number of patients meeting DSM-IV criteria for recurrent major depression (even when selected to exclude personal and family histories of bipolar illness) who reported bipolar symptoms at a level similar to that reported by patients meeting diagnostic criteria for bipolar disorder. This demonstrates the limitations of using DSM-IV criteria to distinguish those with and without bipolar features of illness. [Copyright &y& Elsevier]
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- 2009
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28. Prevalence and mental health correlates of witnessed parental and community violence in a national sample of adolescents.
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Zinzow, Heidi M., Ruggiero, Kenneth J., Resnick, Heidi, Hanson, Rochelle, Smith, Daniel, Saunders, Benjamin, and Kilpatrick, Dean
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VIOLENCE ,MENTAL health ,DISEASES in teenagers ,PSYCHIATRY ,POST-traumatic stress disorder ,PROBABILITY theory - Abstract
Background: Although research suggests that witnessed violence is linked to adverse mental health outcomes among adolescents, little is known about its prevalence or its significance in predicting psychiatric symptoms beyond the contribution of co-occurring risk factors. The purpose of this study was to identify the national prevalence of witnessed parental and community violence and to examine these life stressors as independent risk factors for posttraumatic stress disorder (PTSD) and major depressive episode (MDE) among adolescents. A secondary aim was to determine which characteristics of witnessed violence were associated with mental health outcomes. Method: Participants were 3,614 adolescents recruited from a 2005 US national household probability sample who completed structured telephone interviews assessing witnessed violence and Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria for PTSD and MDE. Results: National prevalence of witnessed parental violence and witnessed community violence was estimated to be 9% and 38%, respectively. Both forms of witnessed violence predicted PTSD and MDE beyond variance accounted for by age, gender, race/ethnicity, income, and other traumatic event history. Perceptions of threat, repeated violence exposure, location of the violence, and relationship to the victim were associated with psychiatric diagnoses. Conclusions: Findings suggest that witnessed violence represents a significant public health burden with implications for psychological assessment and prevention efforts. [ABSTRACT FROM AUTHOR]
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- 2009
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29. Polarity at illness onset in bipolar I disorder and clinical course of illness.
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Forty, Liz, Jones, Lisa, Jones, Ian, Smith, Daniel J, Caesar, Sian, Fraser, Christine, Gordon‐Smith, Katherine, Hyde, Sally, and Craddock, Nick
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BIPOLAR disorder ,POLARITY (Psychology) ,MENTAL depression ,REGRESSION analysis ,PEOPLE with bipolar disorder - Abstract
Objectives: Studies have suggested that episode polarity at illness onset in bipolar disorder may be predictive of some aspects of lifetime clinical characteristics. We here examine this possibility in a large, well-characterized sample of patients with bipolar I disorder. Methods: We assessed polarity at onset in patients with bipolar I disorder (N = 553) recruited as part of our ongoing studies of affective disorders. Lifetime clinical characteristics of illness were compared in patients who had a depressive episode at first illness onset (n = 343) and patients who had a manic episode at first illness onset (n = 210). Results: Several lifetime clinical features differed between patients according to the polarity of their onset episode of illness. A logistic regression analysis showed that the lifetime clinical features significantly associated with a depressive episode at illness onset in our sample were: an earlier age at illness onset; a predominantly depressive polarity during the lifetime; more frequent and more severe depressive episodes; and less prominent lifetime psychotic features. Conclusions: Knowledge of pole of onset may help the clinician in providing prognostic information and management advice to an individual with bipolar disorder. [ABSTRACT FROM AUTHOR]
- Published
- 2009
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30. Screening for bipolar disorder: strengths and limitations of currently available instruments.
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Allen, Rhiannon and Smith, Daniel J.
- Abstract
The broad clinical spectrum of bipolar disorder is under-diagnosed and may affect up to 5% of the population. In recent years, several instruments have been developed to aid screening, diagnosis and research into bipolar spectrum disorders. Here we review the strengths and limitations of these instruments, which include the Mood Disorder Questionnaire (MDQ), the Hypomania Checklist (HCL-32) and the Bipolar Spectrum Diagnostic Scale (BSDS). We focus on the potential use of these instruments in primary care and community psychiatric settings. [ABSTRACT FROM AUTHOR]
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- 2008
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31. Neurocognitive impairment in euthymic young adults with bipolar spectrum disorder and recurrent major depressive disorder.
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Smith, Daniel J, Muir, Walter J, and Blackwood, Douglas HR
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MENTAL depression , *BIPOLAR disorder , *NEUROPSYCHOLOGICAL tests , *NEUROPSYCHOLOGY , *HIPPOCAMPUS (Brain) , *PREFRONTAL cortex , *DIATHESIS-stress model (Psychology) , *DISEASE susceptibility - Abstract
Objective: Patients with remitted major depressive disorder (MDD) and bipolar disorder have persistent impairments in executive function and verbal memory that may represent endophenotypic abnormalities. In this study, we examine neurocognitive function in a sample of euthymic young adults with bipolar spectrum disorder (BSD) (Can J Psychiatry 2002; 47: 125–134) and compare this to well-matched samples of young adults with recurrent MDD and controls. Method: Twenty-one euthymic young adult patients with BSD were compared with 42 young adult patients with MDD and 33 controls on a neuropsychological battery assessing attention, executive function and verbal memory. Results: Patients with BSD were significantly more impaired than MDD patients and controls on tests of executive function and verbal memory. MDD patients did not differ significantly from controls on verbal memory function but performed less well on a test of executive function. Conclusion: Euthymic young adults with BSD had greater impairment on neurocognitive measures associated with prefrontal and hippocampal function than MDD patients and controls. This is a reflection of a strong bipolar diathesis in the BSD group rather than being a consequence of a more severe unipolar illness. [ABSTRACT FROM AUTHOR]
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- 2006
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32. High harm avoidance and low self-directedness in euthymic young adults with recurrent, early-onset depression
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Smith, Daniel J., Duffy, Laura, Stewart, Mary E., Muir, Walter J., and Blackwood, Douglas H.R.
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DEPRESSED persons , *MENTAL depression , *MENTAL health facilities , *TEMPERAMENT - Abstract
Abstract: Background: The personality dimensions of harm avoidance (HA) and self-directedness (SD), as measured by the Temperament and Character Inventory (TCI), have been widely associated with depression and there is preliminary evidence that they may represent trait markers for depression. However, many studies in this area are limited by the use of heterogeneous samples of depressed patients and by the confounding effect of depressed mood during personality testing. The current study compares TCI personality dimension scores in a group of euthymic young adults with recurrent early-onset major depressive disorder (RE-MDD) to well-matched euthymic controls. Methods: Fifty-two young adults with a past history of RE-MDD were recruited from consecutive referrals to a psychiatric clinic at a university health service. Eighty nine controls were also recruited. Euthymia was established in patients by a score of less than 9 on the Hamilton Rating Scale for Depression (HRSD) and in controls by a Becks Depression Inventory (BDI) score of less than 10. All participants completed the TCI-125. Results: Patients and controls were well matched in terms of sociodemographic profile. Euthymic RE-MDD patients scored significantly higher than controls on the temperament dimension of harm avoidance (HA; mean score 14.5 versus 7.8, p <0.0001) and significantly lower than controls on the character dimension of self-directedness (SD; mean score 14.1 versus 19.9, p <0.0001). Covariance analysis suggested that both HA and SD contributed independently to the familial risk of depression. Limitations: Subjects and controls all came from relatively affluent social backgrounds—these findings may not generalise to more socioeconomically diverse populations. The possibility of a ‘scarring effect’ of depressive episodes on self-reported personality dimension scores cannot be excluded. Conclusions: High HA and low SD represent trait markers for liability to recurrent major depressive disorder in young adults. Further research is needed to replicate these findings and to assess the contribution that the experience of depressive episodes makes to self-reported personality dimension scores. [Copyright &y& Elsevier]
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- 2005
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33. Borderline personality disorder characteristics in young adults with recurrent mood disorders: A comparison of bipolar and unipolar depression
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Smith, Daniel J., Muir, Walter J., and Blackwood, Douglas H.R.
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PERSONALITY disorders , *PATHOLOGICAL psychology , *ADULTS , *MENTAL depression - Abstract
Abstract: Background: In young adults it can be difficult to differentiate between an early bipolar illness and borderline personality disorder. There are considerable areas of clinical overlap between cyclothymic temperament, bipolar-spectrum disorders and borderline characteristics. The aim of this study was to measure borderline characteristics in young adults during an index depressive episode and to compare three diagnostic groups: DSM-IV bipolar affective disorder (BPAD); bipolar spectrum disorder (BSD); and DSM-IV recurrent major depressive disorder (MDD). Methods: Eighty-seven young adults with a current episode of major depression and at least one previous episode of depression were recruited from consecutive referrals to a psychiatric clinic. Diagnoses were based on the Structured Clinical Interview for DSM-IV (SCID-1) and recently proposed structured diagnostic criteria for BSD [Ghaemi, S.N., Ko, J.Y., Goodwin, F.K., 2002. Cade''s Disease and beyond: misdiagnosis, antidepressant use and a proposed definition for bipolar spectrum disorder. Can. J. Psychiatry 47, 125–134.]. All patients also completed the borderline questions from the screening questionnaire of the International Personality Disorders Examination (IPDE). Results: Diagnostically, the cohort of 87 patients divided into three groups: 14 with BPAD; 27 with BSD; and 46 with MDD. None of the subjects fulfilled DSM-IV or ICD-10 diagnostic criteria for personality disorder and all three groups were well matched in terms of age, gender distribution, ethnicity, socioeconomic and educational status, age at onset of illness, and severity of index depressive episode. Both of the bipolar-depressed groups reported significantly higher median levels of borderline characteristics than the MDD group (p <0.0001). Three of the borderline characteristics emerged as potentially useful in differentiating bipolar depression from unipolar depression: ‘I''ve never threatened suicide or injured myself on purpose’ (sensitivity=0.93; positive predictive value [PPV]=56.7); ‘I have tantrums or angry outbursts’ (sensitivity 0.66; PPV=65.6%); and ‘Giving in to some of my urges gets me into trouble’ (sensitivity=0.76; PPV=59.6%). Limitations: All of the subjects were recruited from a university health service clinic and as such are unlikely to be representative of patients from more diverse socio-economic backgrounds. No structured diagnostic assessment of personality disorder was administered. The diagnostic criteria for BSD are not yet fully validated. Conclusions: Young adults with bipolar depression exhibit significantly higher levels of borderline personality pathology than those with unipolar depression. Those borderline screening questions that reflect cyclothymic characteristics or depressive mixed states may be of practical use to clinicians in helping to differentiate between bipolar depression and unipolar depression in young adults. [Copyright &y& Elsevier]
- Published
- 2005
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34. The high prevalence of bipolar spectrum disorders in young adults with recurrent depression: toward an innovative diagnostic framework
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Smith, Daniel J., Harrison, Nadine, Muir, Walter, and Blackwood, Douglas H.R.
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PATHOLOGICAL psychology , *ADULTS , *BIPOLAR disorder , *MENTAL depression - Abstract
Background: Young adults with early-onset major depressive disorder (MDD) may be at high risk of progression to bipolar disorder. Although hypomanic symptoms are common in young people with depression, many do not reach the strict DSM-IV and ICD-10 criteria for hypomania. We used an emerging innovative framework for bipolar spectrum to evaluate this question. Methods: Consecutive referrals to a psychiatric outpatient clinic at a university health service were assessed for recurrent episodes of depression. DSM-IV diagnoses were based on a SCID-1 interview. We used two approaches to delineate bipolar spectrum. The first focused on bipolar spectrum disorder (BSD, as defined by Ghaemi et al. [Can. J. Psychiatry 47 (2002) 125]), and the second on a symptoms perspective based on MDD with a history of hypomanic symptoms, using a 15-point hypomanic symptoms checklist with a cut-off ≥8 or more symptoms (modified from J. Affect. Disord. 73 (2003) 39 and J. Affect. Disord. 73 (2003) 73). Data were also obtained on family history of affective disorder, course and number of episodes of depression, symptom severity, psychosocial functioning, suicidality and deliberate self-harm, and drug and alcohol use. Results: High rates of bipolar and bipolar spectrum disorder were identified. Under DSM-IV, 14 subjects (16.1%) had bipolar affective disorder and 73 subjects (83.9%) had recurrent MDD. Depending on the method used to diagnose bipolar spectrum, between 47.1% and 77.0% of the total cohort could be so diagnosed. Hypomanic symptom counts, irrespective of duration, yielded the highest estimates for bipolar spectrum. High rates of pharmacological hypomania were also identified: 12 subjects (16.4%) with recurrent MDD group reported this, and all could be diagnosed with bipolar spectrum. Limitations: The reliability of using the 15-point hypomanic scale for the diagnostic assignments was not tested. All subjects were recruited from a university health service and, given the affluence of their parents, findings may not generalise to other populations. Most importantly, because bipolar family history and pharmacological hypomania were part of the diagnostic criteria of the BSD group, they could not be used as external validators for Ghaemi''s BSD construct. Conclusions: Bipolar disorders emerge as extremely common in this cohort of young adults with recurrent depression. Antidepressant-induced hypomania and high scores on a hypomanic symptoms checklist help to identify patients who are likely to have a bipolar spectrum illness, but who do not meet DSM-IV criteria for bipolar disorder. This is a preliminary study, and further evidence from external validating strategies are needed to verify the bipolar status of these patients in a larger and unselected cohort representing a broader socio-economic demographic profile. [Copyright &y& Elsevier]
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- 2005
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35. Coping with birthparent loss in adopted children.
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Smith, Daniel W. and Brodzinsky, David M.
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Background: Relationships among adopted children's appraisals of birthparent loss, their coping strategies for managing such loss, and child and parent reports of child adjustment were investigated within the context of a stress and coping model of adoption adjustment. Methods: Eighty-two 8-12-year-old adopted children and one of their parents participated. Children completed questionnaires assessing their negative affect about birthparent loss, their curiosity about birthparents, their use of coping strategies to manage birthparent-related distress, and their levels of depression, anxiety, and global self-worth. Parents reported on children's externalizing and internalizing behavior problems and social competence. Results: Children who reported higher levels of negative affect about birthparent loss also reported higher levels of depression and lower self-worth. Curiosity about birthparents predicted parent-rated externalizing behavior. Behavioral avoidant coping was associated with greater self-reported anxiety and parent-rated externalizing behavior, whereas problem solving coping was associated with increased parent-rated social competence. Conclusions: The findings, though limited by issues of measurement and sampling, add to the knowledge base regarding adopted children's appraisal and coping behaviors, and provide partial support for a stress and coping model of adopted children's adjustment. [ABSTRACT FROM AUTHOR]
- Published
- 2002
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36. Ethnic differences in the association between depression and chronic pain: cross sectional results from UK Biobank
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Nicholl, Barbara I, Smith, Daniel J, Cullen, Breda, Mackay, Daniel, Evans, Jonathan, Anderson, Jana, Lyall, Donald M, Fawns-Ritchie, Chloe, McIntosh, Andrew M, Deary, Ian J, Pell, Jill P, and Mair, Frances S
- Subjects
comorbidity ,depression ,ethnicity ,chronic pain ,Family Practice - Abstract
BACKGROUND: Comorbid chronic pain and depression is a challenging dyad of conditions to manage in primary care and reporting has shown to vary by ethnic group. Whether the relationship between depression and chronic pain varies by ethnicity is unclear. This study aims to explore chronic pain and depression reporting across ethnic groups and examine whether this association differs, independently of potential confounding factors.METHODS: Cross-sectional study of UK Biobank participants with complete data on chronic pain and probable lifetime history of depression, who reported their ethnic group as White, Asian/Asian British or Black/Black British. Chronic pain classification: present if participants had ≥ 1 site of body pain (up to seven sites or "pain all over the body" could be selected) that lasted ≥ 3 months; extent of chronic pain categories: 0, 1, 2-3, 4-7 sites or pain all over the body. Probable depression classification: an algorithm of low mood, anhedonia and help-seeking behaviour. Relationship between depression and presence/extent of chronic pain assessed using logistic/multinomial regression models (odds ratio (OR); relative risk ratio (RRR), 95 % confidence intervals), adjusted for sociodemographic, lifestyle, and morbidity factors; and a final adjustment for current depressive symptoms.RESULTS: The number of participants eligible for inclusion was 144,139: 35,703 (94 %) White, 4539 (3 %) Asian, and 3897 (3 %) Black. Chronic pain was less (40.5 %, 45.8 %, 45.0 %, respectively) and depression more (22.1 %, 12.9 %, 13.8 %, respectively) commonly reported in White participants than Asian and Black participants. Statistically significant associations between depression and presence/extent of chronic pain persisted following adjustment for potential confounding variables; this relationship was strongest for Black participants (presence of chronic pain: OR 1.86 (1.52, 2.27); RRR 1 site 1.49 (1.16, 1.91), 2-3 sites 1.98 (1.53, 2.56), 4-7 sites 3.23 (2.09, 4.99), pain all over the body 3.31 (2.05, 5.33). When current depressive symptoms were considered these relationships were attenuated.CONCLUSIONS: Chronic pain and depression reporting varies across ethnic groups. Differences in health seeking behaviour between ethnic groups may impact on the results reported. Clinicians, particularly in primary care, need to be aware of the cultural barriers within certain ethic groups to expressing concern over mood and to consider their approach accordingly.
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37. Subjective and objective sleep and circadian parameters as predictors of depression-related outcomes: A machine learning approach in UK Biobank.
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Lyall, Laura M., Sangha, Natasha, Zhu, Xingxing, Lyall, Donald M., Ward, Joey, Strawbridge, Rona J., Cullen, Breda, and Smith, Daniel J.
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SLEEP duration , *SLEEP interruptions , *NAPS (Sleep) , *POSTPARTUM depression , *MACHINE learning , *SLEEP , *MECKEL diverticulum , *SLEEP hygiene - Abstract
Sleep and circadian disruption are associated with depression onset and severity, but it is unclear which features (e.g., sleep duration, chronotype) are important and whether they can identify individuals showing poorer outcomes. Within a subset of the UK Biobank with actigraphy and mental health data (n = 64,353), penalised regression identified the most useful of 51 sleep/rest-activity predictors of depression-related outcomes; including case-control (Major Depression (MD) vs. controls; postnatal depression vs. controls) and within-case comparisons (severe vs. moderate MD; early vs. later onset, atypical vs. typical symptoms; comorbid anxiety; suicidality). Best models (of lasso, ridge, and elastic net) were selected based on Area Under the Curve (AUC). For MD vs. controls (n (MD) = 24,229; n (control) = 40,124), lasso AUC was 0.68, 95 % confidence interval (CI) 0.67–0.69. Discrimination was reasonable for atypical vs. typical symptoms (n (atypical) = 958; n (typical) = 18,722; ridge: AUC 0.74, 95 % CI 0.71–0.77) but poor for remaining models (AUCs 0.59–0.67). Key predictors across most models included: difficulty getting up, insomnia symptoms, snoring, actigraphy-measured daytime inactivity and lower morning activity (~8 am). In a distinct subset (n = 310,718), the number of these factors shown was associated with all depression outcomes. Analyses were cross-sectional and in middle-/older aged adults: comparison with longitudinal investigations and younger cohorts is necessary. Sleep and circadian measures alone provided poor to moderate discrimination of depression outcomes, but several characteristics were identified that may be clinically useful. Future work should assess these features alongside broader sociodemographic, lifestyle and genetic features. • Sleep and circadian disruption are linked to worse depression outcomes. • Sleep and circadian data help identify depression with vs. without atypical symptoms. • Top predictors of depression included insomnia, napping and daytime inactivity. • These markers of poor sleep were associated with all depression outcomes examined. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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38. The use of polygenic risk scores to identify phenotypes associated with genetic risk of bipolar disorder and depression: A systematic review.
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Mistry, Sumit, Harrison, Judith R., Smith, Daniel J., Escott-Price, Valentina, and Zammit, Stanley
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BIPOLAR disorder , *MONOGENIC & polygenic inheritance (Genetics) , *MENTAL depression , *MEDLINE , *SCHIZOPHRENIA , *GENETICS , *RESEARCH funding , *PHENOTYPES , *SYSTEMATIC reviews - Abstract
Background: Identifying the phenotypic manifestations of increased genetic liability for depression (MDD) and bipolar disorder (BD) can enhance understanding of their aetiology. The polygenic risk score (PRS) derived using data from genome-wide-association-studies can be used to explore how genetic risk is manifest in different samples.Aims: In this systematic review, we review studies that examine associations between the MDD and BD polygenic risk scores and phenotypic outcomes.Methods: Following PRISMA guidelines, we searched EMBASE, Medline and PsycINFO (from August 2009 - 14th March 2016) and references of included studies. Study inclusion was based on predetermined criteria and data were extracted independently and in duplicate.Results: Twenty-five studies were included. Overall, both polygenic risk scores were associated with other psychiatric disorders (not the discovery sample disorder) such as depression, schizophrenia and bipolar disorder, greater symptom severity of depression, membership of a creative profession and greater educational attainment. Both depression and bipolar polygenic risk scores explained small amounts of variance in most phenotypes (< 2%).Limitations: Many studies did not report standardised effect sizes. This prevented us from conducting a meta-analysis.Conclusions: Polygenic risk scores for BD and MDD are associated with a range of phenotypes and outcomes. However, they only explain a small amount of the variation in these phenotypes. Larger discovery and adequately powered target samples are required to increase power of the PRS approach. This could elucidate how genetic risk for bipolar disorder and depression is manifest and contribute meaningfully to stratified medicine. [ABSTRACT FROM AUTHOR]- Published
- 2018
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39. Is adolescent alcohol use associated with self-reported hypomanic symptoms in adulthood? – Findings from a prospective birth cohort.
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Fasteau, Melissa, Mackay, Daniel, Smith, Daniel J., and Meyer, Thomas D.
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HYPOMANIA , *UNDERAGE drinking , *MENTAL depression risk factors , *ADOLESCENT psychology , *SYMPTOMS , *PATIENT self-monitoring , *DIAGNOSIS - Abstract
High rates of alcohol use disorder (AUD) are reported in people with major depression (MD) and bipolar disorder (BD). Substance abuse problems in adolescence may also indicate risk for future onset of mood disorders, especially BD. Data collected from the Avon Longitudinal Study of Parents and Children (ALSPAC), a large UK birth cohort, allowed information to be collected over several different time points and to test whether problematic alcohol use at age 16 was predictive of vulnerability to hypomanic symptoms at age 23. Controlling for a participant's gender, SES, marital status of the mother, a likely history of maternal depression, and adolescents’ level of depressive symptoms at age 16, a hierarchical linear regression revealed that self-reported alcohol use in adolescence predicted the future onset of hypomanic/manic symptoms. Limitations include attrition and relying solely on self-ratings. Despite these limitations, the results suggest problematic alcohol use in adolescence predicts a vulnerability to hypomanic or manic symptoms. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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40. Predictors of admission and readmission to hospital for major depression: A community cohort study of 52,990 individuals.
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Innes, Hamish, Lewsey, James, and Smith, Daniel J.
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MENTAL depression , *COHORT analysis , *MENTAL illness treatment , *MENTAL health counseling , *AFFECTIVE disorders , *MENTAL health services , *PATHOLOGICAL psychology , *DIAGNOSIS , *MEDICAL care - Abstract
Background Our current knowledge about predictors of admission and re-admission to hospital as a result of major depressive disorder (MDD) is limited. Here we present a descriptive analysis of factors which are associated with MDD hospitalisations within a large population cohort. Methods We linked participants of the Scottish Health Survey (SHS) to historical and prospective hospital admission data. We combined information from the SHS baseline interview and historical hospitalisations to define a range of exposure variables. The main outcomes of interest were: (1) first time admission for MDD occurring after the SHS interview; and (2) readmission for MDD. We used Cox regression to determine the association between each predictor and each outcome, after adjusting for age, gender and deprivation quintile. Results 52,990 adult SHS participants were included. During a median follow-up of 4.5 years per participant, we observed 530 first-time admissions for MDD. A relatively wide range of factors – encompassing social, individual health status, and lifestyle-related exposures – were associated with this outcome ( p <0.05). Among the 530 participants exhibiting a de novo admission for MDD during follow-up, 118 were later re-admitted. Only older age (over 70) and a prior non-depression related psychiatric admission were associated with readmission for MDD. Limtations MDD was defined using records of International Classification of Disease hospital discharge codes rather than formal diagnostic assessments. Conclusion These findings have implications for mental health service organisation and delivery and should stimulate future research on predictive factors for admission and readmission in MDD [ABSTRACT FROM AUTHOR]
- Published
- 2015
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41. Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure
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Daniel J. Smith, Donald M. Lyall, Richard A. I. Bethlehem, Breda Cullen, Nicholas Graham, Graham K. Murray, Laura M. Lyall, Amy Ferguson, Joey Ward, Mark E.S. Bailey, Rona J. Strawbridge, Keira J.A. Johnston, Bethlehem, Richard AI [0000-0002-0714-0685], Strawbridge, Rona J [0000-0001-8506-3585], Johnston, Keira JA [0000-0002-1370-3149], Murray, Graham K [0000-0001-8296-1742], Smith, Daniel J [0000-0002-2267-1951], Apollo - University of Cambridge Repository, Bethlehem, Richard A I [0000-0002-0714-0685], Johnston, Keira J A [0000-0002-1370-3149], Bethlehem, Richard A. I. [0000-0002-0714-0685], Strawbridge, Rona J. [0000-0001-8506-3585], Johnston, Keira J. A. [0000-0002-1370-3149], Murray, Graham K. [0000-0001-8296-1742], and Smith, Daniel J. [0000-0002-2267-1951]
- Subjects
0301 basic medicine ,Male ,Multifactorial Inheritance ,Anhedonia ,Databases, Factual ,45/43 ,Genome-wide association study ,Cohort Studies ,0302 clinical medicine ,692/699/476/1799 ,631/208/212/748 ,Anhedonia/physiology ,0303 health sciences ,Depression ,Mental Disorders ,article ,Brain ,692/699/476/1333 ,Middle Aged ,Magnetic Resonance Imaging ,3. Good health ,Psychiatry and Mental health ,medicine.anatomical_structure ,Schizophrenia ,Genetic Loci/genetics ,Major depressive disorder ,Female ,medicine.symptom ,psychological phenomena and processes ,Adult ,medicine.medical_specialty ,Bipolar disorder ,Mental Disorders/diagnostic imaging ,Grey matter ,behavioral disciplines and activities ,lcsh:RC321-571 ,White matter ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,692/699/476/1414 ,medicine ,Humans ,Psychiatry ,Multifactorial Inheritance/genetics ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Biological Psychiatry ,030304 developmental biology ,Aged ,business.industry ,Comparative genomics ,Brain/diagnostic imaging ,Mental illness ,medicine.disease ,030104 developmental biology ,Genetic Loci ,59/57 ,business ,030217 neurology & neurosurgery ,Diffusion MRI ,Genome-Wide Association Study - Abstract
Anhedonia is a core feature of several psychiatric disorders but its biological underpinnings are poorly understood. We performed a genome-wide association study of anhedonia in 375,275 UK Biobank participants and assessed for genetic correlation between anhedonia and neuropsychiatric conditions (major depressive disorder, schizophrenia, bipolar disorder, obsessive compulsive disorder and Parkinson’s Disease). We then used a polygenic risk score approach to test for association between genetic loading for anhedonia and both brain structure and brain function. This included: magnetic resonance imaging (MRI) assessments of total grey matter volume, white matter volume, cerebrospinal fluid volume, and 15 cortical/subcortical regions of interest; diffusion tensor imaging (DTI) measures of white matter tract integrity; and functional MRI activity during an emotion processing task. We identified 11 novel loci associated at genome-wide significance with anhedonia, with a SNP heritability estimate (h2SNP) of 5.6%. Strong positive genetic correlations were found between anhedonia and major depressive disorder, schizophrenia and bipolar disorder; but not with obsessive compulsive disorder or Parkinson’s Disease. Polygenic risk for anhedonia was associated with poorer brain white matter integrity, smaller total grey matter volume, and smaller volumes of brain regions linked to reward and pleasure processing, including nucleus accumbens, caudate and medial frontal cortex. In summary, the identification of novel anhedonia-associated loci substantially expands our current understanding of the biological basis of anhedonia and genetic correlations with several psychiatric disorders confirm the utility of this trait as a transdiagnostic marker of vulnerability to mental illness. We also provide the first evidence that genetic risk for anhedonia influences brain structure, particularly in regions associated with reward and pleasure processing.
- Published
- 2019
42. ADHD in adults with recurrent depression.
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Powell, Victoria, Agha, Sharifah Shameem, Jones, Rhys Bevan, Eyre, Olga, Stephens, Alice, Weavers, Bryony, Lennon, Jess, Allardyce, Judith, Potter, Robert, Smith, Daniel, Thapar, Anita, and Rice, Frances
- Subjects
- *
ATTENTION-deficit hyperactivity disorder , *ADULTS , *MENTAL depression , *DEPRESSED persons , *ANTIDEPRESSANTS , *IRRITABILITY (Psychology) , *RESEARCH , *RESEARCH methodology , *MEDICAL cooperation , *EVALUATION research , *COMPARATIVE studies , *RESEARCH funding , *LONGITUDINAL method - Abstract
Background: Depression is highly heterogeneous in its clinical presentation. Those with attention deficit/hyperactivity disorder (ADHD) may be at risk of a more chronic and impairing depression compared to those with depression alone according to studies of young people. However, no studies to date have examined ADHD in recurrently depressed adults in mid-life.Method: In a sample of women in mid-life (n=148) taken from a UK based prospective cohort of adults with a history of recurrent depression, we investigated the prevalence of ADHD and the association of ADHD with clinical features of depression.Results: 12.8% of the recurrently depressed women had elevated ADHD symptoms and 3.4% met DSM-5 diagnostic criteria for ADHD. None of the women reported having a diagnosis of ADHD from a medical professional. ADHD symptoms were associated with earlier age of depression onset, higher depression associated impairment, a greater recurrence of depressive episodes and increased persistence of subthreshold depression symptoms over the study period, higher levels of irritability and increased risk of self-harm or suicide attempt. ADHD symptoms were associated with increased risk of hospitalisation and receiving non-first-line antidepressant medication.Limitations: ADHD was measured using a questionnaire measure. We focussed on mothers in a longitudinal study of recurrent depression, so the findings may not apply to males or other groups.Conclusions: Higher ADHD symptoms appear to index a worse clinical presentation for depression. Clinical implications include that in women with early onset, impairing and recurrent depression, the possibility of underlying ADHD masked by depression needs to be considered. [ABSTRACT FROM AUTHOR]- Published
- 2021
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43. Offspring of parents with recurrent depression: Which features of parent depression index risk for offspring psychopathology?
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Mars, Becky, Collishaw, Stephan, Smith, Daniel, Thapar, Ajay, Potter, Robert, Sellers, Ruth, Harold, Gordon T., Craddock, Nicholas, Rice, Frances, and Thapar, Anita
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- *
PATHOLOGICAL psychology , *DEPRESSION in parents , *DEPRESSION in adolescence , *QUANTITATIVE research , *DEPRESSION in children , *MENTAL depression risk factors - Abstract
Abstract: Background: Parental depression is associated with an increased risk of psychiatric disorder in offspring, although outcomes vary. At present relatively little is known about how differences in episode timing, severity, and course of recurrent depression relate to risk in children. The aim of this study was to consider the offspring of parents with recurrent depression and examine whether a recent episode of parental depression indexes risk for offspring psychopathology over and above these other parental depression features. Methods: Three hundred and thirty seven recurrently depressed parents and their offspring (aged 9–17) were interviewed as part of an ongoing study, the ‘Early Prediction of Adolescent Depression Study’. The Child and Adolescent Psychiatric Assessment was used to assess two child outcomes; presence of a DSM-IV psychiatric disorder and number of DSM-IV child-rated depression symptoms. Results: Children whose parents had experienced a recent episode of depression reported significantly more depression symptoms, and odds of child psychiatric disorder were doubled relative to children whose parents had not experienced a recent episode of depression. Past severity of parental depression was also significantly associated with child depression symptoms. Limitations: Statistical analyses preclude causal conclusions pertaining to parental depression influences on offspring psychopathology; several features of parental depression were recalled retrospectively. Conclusions: This study suggests that particular features of parental depression, specifically past depression severity and presence of a recent episode, may be important indicators of risk for child psychiatric disorder and depressive symptoms. [Copyright &y& Elsevier]
- Published
- 2012
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44. Patient characteristics associated with retrospectively self-reported treatment outcomes following psychological therapy for anxiety or depressive disorders - a cohort of GLAD study participants
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Christopher Rayner, Jonathan R.I. Coleman, Megan Skelton, Cherie Armour, John Bradley, Joshua E.J. Buckman, Molly R. Davies, Colette R. Hirsch, Matthew Hotopf, Christopher Hübel, Ian R. Jones, Gursharan Kalsi, Nathalie Kingston, Georgina Krebs, Yuhao Lin, Dina Monssen, Andrew M. McIntosh, Jessica R. Mundy, Alicia J. Peel, Katharine A. Rimes, Henry C. Rogers, Daniel J. Smith, Abigail R. ter Kuile, Katherine N. Thompson, David Veale, Janet Wingrove, James T.R. Walters, Gerome Breen, Thalia C. Eley, Rayner, Christopher [0000-0003-2950-343X], Coleman, Jonathan RI [0000-0002-6759-0944], Skelton, Megan [0000-0002-7619-349X], Armour, Cherie [0000-0001-7649-3874], Bradley, John [0000-0002-7774-8805], Buckman, Joshua EJ [0000-0002-2281-0907], Davies, Molly R [0000-0003-3483-9907], Hirsch, Colette R [0000-0003-3579-2418], Hotopf, Matthew [0000-0002-3980-4466], Hübel, Christopher [0000-0002-1267-8287], Jones, Ian R [0000-0001-5821-5889], Kalsi, Gursharan [0000-0002-5156-7176], Kingston, Nathalie [0000-0002-9190-2231], Krebs, Georgina [0000-0002-5353-5645], Monssen, Dina [0000-0003-0080-0799], McIntosh, Andrew M [0000-0002-0198-4588], Peel, Alicia J [0000-0002-6144-5412], Rimes, Katharine A [0000-0003-2634-455X], Rogers, Henry C [0000-0003-2531-7496], Smith, Daniel J [0000-0002-2267-1951], Ter Kuile, Abigail R [0000-0002-7869-3754], Thompson, Katherine N [0000-0003-1818-0428], Veale, David [0000-0002-1717-4766], Walters, James TR [0000-0002-6980-4053], Breen, Gerome [0000-0003-2053-1792], Eley, Thalia C [0000-0001-6458-0700], and Apollo - University of Cambridge Repository
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Adult ,Depressive Disorder ,Depression ,Research ,Anxiety/psychology ,Depression/therapy ,Anxiety ,Cognitive behavioral therapy ,Cohort Studies ,Psychiatry and Mental health ,Treatment Outcome ,Humans ,Counselling ,Self Report ,Prospective Studies ,Minimal phenotyping ,Retrospective Studies - Abstract
Funder: Wellcome Trust, Funder: Medical Research Council, BACKGROUND: Progress towards stratified care for anxiety and depression will require the identification of new predictors. We collected data on retrospectively self-reported therapeutic outcomes in adults who received psychological therapy in the UK in the past ten years. We aimed to replicate factors associated with traditional treatment outcome measures from the literature. METHODS: Participants were from the Genetic Links to Anxiety and Depression (GLAD) Study, a UK-based volunteer cohort study. We investigated associations between retrospectively self-reported outcomes following therapy, on a five-point scale (global rating of change; GRC) and a range of sociodemographic, clinical and therapy-related factors, using ordinal logistic regression models (n = 2890). RESULTS: Four factors were associated with therapy outcomes (adjusted odds ratios, OR). One sociodemographic factor, having university-level education, was associated with favourable outcomes (OR = 1.37, 95%CI: 1.18, 1.59). Two clinical factors, greater number of reported episodes of illness (OR = 0.95, 95%CI: 0.92, 0.97) and higher levels of personality disorder symptoms (OR = 0.89, 95%CI: 0.87, 0.91), were associated with less favourable outcomes. Finally, reported regular use of additional therapeutic activities was associated with favourable outcomes (OR = 1.39, 95%CI: 1.19, 1.63). There were no statistically significant differences between fully adjusted multivariable and unadjusted univariable odds ratios. CONCLUSION: Therapy outcome data can be collected quickly and inexpensively using retrospectively self-reported measures in large observational cohorts. Retrospectively self-reported therapy outcomes were associated with four factors previously reported in the literature. Similar data collected in larger observational cohorts may enable detection of novel associations with therapy outcomes, to generate new hypotheses, which can be followed up in prospective studies.
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- 2022
45. Association between polarity of first episode and solar insolation in bipolar I disorder
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Michael Bauer, Tasha Glenn, Eric D. Achtyes, Martin Alda, Esen Agaoglu, Kürşat Altınbaş, Ole A. Andreassen, Elias Angelopoulos, Raffaella Ardau, Memduha Aydin, Yavuz Ayhan, Christopher Baethge, Rita Bauer, Bernhard T. Baune, Ceylan Balaban, Claudia Becerra-Palars, Aniruddh P. Behere, Prakash B. Behere, Habte Belete, Tilahun Belete, Gabriel Okawa Belizario, Frank Bellivier, Robert H. Belmaker, Francesco Benedetti, Michael Berk, Yuly Bersudsky, Şule Bicakci, Harriet Birabwa-Oketcho, Thomas D. Bjella, Conan Brady, Jorge Cabrera, Marco Cappucciati, Angela Marianne Paredes Castro, Wei-Ling Chen, Eric Y.W. Cheung, Silvia Chiesa, Marie Crowe, Alessandro Cuomo, Sara Dallaspezia, Maria Del Zompo, Pratikkumar Desai, Seetal Dodd, Bruno Etain, Andrea Fagiolini, Frederike T. Fellendorf, Ewa Ferensztajn-Rochowiak, Jess G. Fiedorowicz, Kostas N. Fountoulakis, Mark A. Frye, Pierre A. Geoffroy, Ana Gonzalez-Pinto, John F. Gottlieb, Paul Grof, Bartholomeus C.M. Haarman, Hirohiko Harima, Mathias Hasse-Sousa, Chantal Henry, Lone Høffding, Josselin Houenou, Massimiliano Imbesi, Erkki T. Isometsä, Maja Ivkovic, Sven Janno, Simon Johnsen, Flávio Kapczinski, Gregory N. Karakatsoulis, Mathias Kardell, Lars Vedel Kessing, Seong Jae Kim, Barbara König, Timur L. Kot, Michael Koval, Mauricio Kunz, Beny Lafer, Mikael Landén, Erik R. Larsen, Melanie Lenger, Ute Lewitzka, Rasmus W. Licht, Carlos Lopez-Jaramillo, Alan MacKenzie, Helle Østergaard Madsen, Simone Alberte Kongstad A. Madsen, Jayant Mahadevan, Agustine Mahardika, Mirko Manchia, Wendy Marsh, Monica Martinez-Cengotitabengoa, Klaus Martiny, Yuki Mashima, Declan M. McLoughlin, Ybe Meesters, Ingrid Melle, Fátima Meza-Urzúa, Yee Ming Mok, Scott Monteith, Muthukumaran Moorthy, Gunnar Morken, Enrica Mosca, Anton A. Mozzhegorov, Rodrigo Munoz, Starlin V. Mythri, Fethi Nacef, Ravi K. Nadella, Takako Nakanotani, René Ernst Nielsen, Claire O'Donovan, Adel Omrani, Yamima Osher, Uta Ouali, Maja Pantovic-Stefanovic, Pornjira Pariwatcharakul, Joanne Petite, Andrea Pfennig, Yolanda Pica Ruiz, Marco Pinna, Maurizio Pompili, Richard Porter, Danilo Quiroz, Francisco Diego Rabelo-da-Ponte, Raj Ramesar, Natalie Rasgon, Woraphat Ratta-apha, Michaela Ratzenhofer, Maria Redahan, M.S. Reddy, Andreas Reif, Eva Z. Reininghaus, Jenny Gringer Richards, Philipp Ritter, Janusz K. Rybakowski, Leela Sathyaputri, Ângela M. Scippa, Christian Simhandl, Daniel Smith, José Smith, Paul W. Stackhouse, Dan J. Stein, Kellen Stilwell, Sergio Strejilevich, Kuan-Pin Su, Mythily Subramaniam, Ahmad Hatim Sulaiman, Kirsi Suominen, Andi J. Tanra, Yoshitaka Tatebayashi, Wen Lin Teh, Leonardo Tondo, Carla Torrent, Daniel Tuinstra, Takahito Uchida, Arne E. Vaaler, Eduard Vieta, Biju Viswanath, Maria Yoldi-Negrete, Oguz Kaan Yalcinkaya, Allan H. Young, Yosra Zgueb, Peter C. Whybrow, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Bauer, Michael, Glenn, Tasha, Achtyes, Eric D, Alda, Martin, Agaoglu, Esen, Altınbaş, Kürşat, Andreassen, Ole A, Angelopoulos, Elia, Ardau, Raffaella, Aydin, Memduha, Ayhan, Yavuz, Baethge, Christopher, Bauer, Rita, Baune, Bernhard T, Balaban, Ceylan, Becerra-Palars, Claudia, Behere, Aniruddh P, Behere, Prakash B, Belete, Habte, Belete, Tilahun, Belizario, Gabriel Okawa, Bellivier, Frank, Belmaker, Robert H, Benedetti, Francesco, Berk, Michael, Bersudsky, Yuly, Bicakci, Şule, Birabwa-Oketcho, Harriet, Bjella, Thomas D, Brady, Conan, Cabrera, Jorge, Cappucciati, Marco, Castro, Angela Marianne Parede, Chen, Wei-Ling, Cheung, Eric Y W, Chiesa, Silvia, Crowe, Marie, Cuomo, Alessandro, Dallaspezia, Sara, Del Zompo, Maria, Desai, Pratikkumar, Dodd, Seetal, Etain, Bruno, Fagiolini, Andrea, Fellendorf, Frederike T, Ferensztajn-Rochowiak, Ewa, Fiedorowicz, Jess G, Fountoulakis, Kostas N, Frye, Mark A, Geoffroy, Pierre A, Gonzalez-Pinto, Ana, Gottlieb, John F, Grof, Paul, Haarman, Bartholomeus C M, Harima, Hirohiko, Hasse-Sousa, Mathia, Henry, Chantal, Høffding, Lone, Houenou, Josselin, Imbesi, Massimiliano, Isometsä, Erkki T, Ivkovic, Maja, Janno, Sven, Johnsen, Simon, Kapczinski, Flávio, Karakatsoulis, Gregory N, Kardell, Mathia, Kessing, Lars Vedel, Kim, Seong Jae, König, Barbara, Kot, Timur L, Koval, Michael, Kunz, Mauricio, Lafer, Beny, Landén, Mikael, Larsen, Erik R, Lenger, Melanie, Lewitzka, Ute, Licht, Rasmus W, Lopez-Jaramillo, Carlo, Mackenzie, Alan, Madsen, Helle Østergaard, Madsen, Simone Alberte Kongstad A, Mahadevan, Jayant, Mahardika, Agustine, Manchia, Mirko, Marsh, Wendy, Martinez-Cengotitabengoa, Monica, Martiny, Klau, Mashima, Yuki, Mcloughlin, Declan M, Meesters, Ybe, Melle, Ingrid, Meza-Urzúa, Fátima, Mok, Yee Ming, Monteith, Scott, Moorthy, Muthukumaran, Morken, Gunnar, Mosca, Enrica, Mozzhegorov, Anton A, Munoz, Rodrigo, Mythri, Starlin V, Nacef, Fethi, Nadella, Ravi K, Nakanotani, Takako, Nielsen, René Ernst, O'Donovan, Claire, Omrani, Adel, Osher, Yamima, Ouali, Uta, Pantovic-Stefanovic, Maja, Pariwatcharakul, Pornjira, Petite, Joanne, Pfennig, Andrea, Ruiz, Yolanda Pica, Pinna, Marco, Pompili, Maurizio, Porter, Richard, Quiroz, Danilo, Rabelo-da-Ponte, Francisco Diego, Ramesar, Raj, Rasgon, Natalie, Ratta-Apha, Woraphat, Ratzenhofer, Michaela, Redahan, Maria, Reddy, M S, Reif, Andrea, Reininghaus, Eva Z, Richards, Jenny Gringer, Ritter, Philipp, Rybakowski, Janusz K, Sathyaputri, Leela, Scippa, Ângela M, Simhandl, Christian, Smith, Daniel, Smith, José, Stackhouse, Paul W, Stein, Dan J, Stilwell, Kellen, Strejilevich, Sergio, Su, Kuan-Pin, Subramaniam, Mythily, Sulaiman, Ahmad Hatim, Suominen, Kirsi, Tanra, Andi J, Tatebayashi, Yoshitaka, Teh, Wen Lin, Tondo, Leonardo, Torrent, Carla, Tuinstra, Daniel, Uchida, Takahito, Vaaler, Arne E, Vieta, Eduard, Viswanath, Biju, Yoldi-Negrete, Maria, Yalcinkaya, Oguz Kaan, Young, Allan H, Zgueb, Yosra, and Whybrow, Peter C
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Bipolar Disorder/complications ,Male ,Polarity ,Bipolar disorder ,Circadian rhythm ,Depression ,Psychiatry and Mental health ,Clinical Psychology ,Solar insolation ,Sunlight ,Humans ,Female ,Seasons - Abstract
OBJECTIVE: Circadian rhythm disruption is commonly observed in bipolar disorder (BD). Daylight is the most powerful signal to entrain the human circadian clock system. This exploratory study investigated if solar insolation at the onset location was associated with the polarity of the first episode of BD I. Solar insolation is the amount of electromagnetic energy from the Sun striking a surface area of the Earth.METHODS: Data from 7488 patients with BD I were collected at 75 sites in 42 countries. The first episode occurred at 591 onset locations in 67 countries at a wide range of latitudes in both hemispheres. Solar insolation values were obtained for every onset location, and the ratio of the minimum mean monthly insolation to the maximum mean monthly insolation was calculated. This ratio is largest near the equator (with little change in solar insolation over the year), and smallest near the poles (where winter insolation is very small compared to summer insolation). This ratio also applies to tropical locations which may have a cloudy wet and clear dry season, rather than winter and summer.RESULTS: The larger the change in solar insolation throughout the year (smaller the ratio between the minimum monthly and maximum monthly values), the greater the likelihood the first episode polarity was depression. Other associated variables were being female and increasing percentage of gross domestic product spent on country health expenditures. (All coefficients: P ≤ 0.001).CONCLUSION: Increased awareness and research into circadian dysfunction throughout the course of BD is warranted.
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- 2022
46. Psychoeducational interventions in adolescent depression: A systematic review.
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Bevan Jones, Rhys, Thapar, Anita, Stone, Zoe, Thapar, Ajay, Jones, Ian, Smith, Daniel, and Simpson, Sharon
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PSYCHOEDUCATION , *DEPRESSION in adolescence , *EVIDENCE-based medicine , *PSYCHOLOGICAL distress , *PSYCHOSOCIAL factors , *META-analysis , *PREVENTION of mental depression , *ANXIETY , *MEDICAL information storage & retrieval systems , *PSYCHOLOGY information storage & retrieval systems , *MEDICAL protocols , *MEDLINE , *ONLINE information services , *HEALTH outcome assessment , *RESEARCH funding , *HEALTH self-care , *SYSTEMATIC reviews , *ADOLESCENCE - Abstract
Background: Adolescent depression is common and leads to distress and impairment for individuals/families. Treatment/prevention guidelines stress the need for good information and evidence-based psychosocial interventions. There has been growing interest in psychoeducational interventions (PIs), which broadly deliver accurate information about health issues and self-management.Objective, Methods: Systematic search of targeted PIs as part of prevention/management approaches for adolescent depression. Searches were undertaken independently in PubMed, PsycINFO, EMBASE, guidelines, reviews (including Cochrane), and reference lists. Key authors were contacted. No restrictions regarding publishing dates.Results: Fifteen studies were included: seven targeted adolescents with depression/depressive symptoms, eight targeted adolescents 'at risk' e.g. with a family history of depression. Most involved family/group programmes; others included individual, school-based and online approaches. PIs may affect understanding of depression, identification of symptoms, communication, engagement, and mental health outcomes.Conclusion, Practice Implications: PIs can have a role in preventing/managing adolescent depression, as a first-line or adjunctive approach. The limited number of studies, heterogeneity in formats and evaluation, and inconsistent approach to defining PI, make it difficult to compare programmes and measure overall effectiveness. Further work needs to establish an agreed definition of PI, develop/evaluate PIs in line with frameworks for complex interventions, and analyse their active components. [ABSTRACT FROM AUTHOR]- Published
- 2018
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47. Seasonality of depressive symptoms in women but not in men: A cross-sectional study in the UK Biobank cohort.
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Lyall, Laura M., Wyse, Cathy A., Celis-Morales, Carlos A., Lyall, Donald M., Cullen, Breda, Mackay, Daniel, Ward, Joey, Graham, Nicholas, Strawbridge, Rona J., Gill, Jason M.R., Ferguson, Amy, Bailey, Mark E.S., Pell, Jill P., Curtis, Annie M., and Smith, Daniel J.
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MENTAL depression , *AFFECTIVE disorders , *FATIGUE (Physiology) , *MOOD (Psychology) , *PATHOLOGICAL psychology , *AFFECT (Psychology) , *ANHEDONIA , *COMPARATIVE studies , *LONGITUDINAL method , *RESEARCH methodology , *MEDICAL cooperation , *NEUROLOGIC manifestations of general diseases , *RESEARCH , *SEASONS , *EVALUATION research , *LIFESTYLES , *CROSS-sectional method - Abstract
Background: We examined whether seasonal variations in depressive symptoms occurred independently of demographic and lifestyle factors, and were related to change in day length and/or outdoor temperature.Methods: In a cross-sectional analysis of >150,000 participants of the UK Biobank cohort, we used the cosinor method to assess evidence of seasonality of a total depressive symptoms score and of low mood, anhedonia, tenseness and tiredness scores in women and men. Associations of depressive symptoms with day length and mean outdoor temperature were then examined.Results: Seasonality of total depressive symptom scores, anhedonia and tiredness scores was observed in women but not men, with peaks in winter. In women, increased day length was associated with reduced reporting of low mood and anhedonia, but with increased reporting of tiredness, independent of demographic and lifestyle factors. Associations with day length were not independent of the average outdoor temperature preceding assessment.Limitations: This was a cross-sectional investigation - longitudinal studies of within-subject seasonal variation in mood are necessary. Outcome measures relied on self-report and measured only a subset of depressive symptoms.Conclusion: This large, population-based study provides evidence of seasonal variation in depressive symptoms in women. Shorter days were associated with increased feelings of low mood and anhedonia in women. Clinicians should be aware of these population-level sex differences in seasonal mood variations in order to aid recognition and treatment of depression and subclinical depressive symptoms. [ABSTRACT FROM AUTHOR]- Published
- 2018
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48. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors
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Niamh Mullins, JooEun Kang, Adrian I. Campos, Jonathan R.I. Coleman, Alexis C. Edwards, Hanga Galfalvy, Daniel F. Levey, Adriana Lori, Andrey Shabalin, Anna Starnawska, Mei-Hsin Su, Hunna J. Watson, Mark Adams, Swapnil Awasthi, Michael Gandal, Jonathan D. Hafferty, Akitoyo Hishimoto, Minsoo Kim, Satoshi Okazaki, Ikuo Otsuka, Stephan Ripke, Erin B. Ware, Andrew W. Bergen, Wade H. Berrettini, Martin Bohus, Harry Brandt, Xiao Chang, Wei J. Chen, Hsi-Chung Chen, Steven Crawford, Scott Crow, Emily DiBlasi, Philibert Duriez, Fernando Fernández-Aranda, Manfred M. Fichter, Steven Gallinger, Stephen J. Glatt, Philip Gorwood, Yiran Guo, Hakon Hakonarson, Katherine A. Halmi, Hai-Gwo Hwu, Sonia Jain, Stéphane Jamain, Susana Jiménez-Murcia, Craig Johnson, Allan S. Kaplan, Walter H. Kaye, Pamela K. Keel, James L. Kennedy, Kelly L. Klump, Dong Li, Shih-Cheng Liao, Klaus Lieb, Lisa Lilenfeld, Chih-Min Liu, Pierre J. Magistretti, Christian R. Marshall, James E. Mitchell, Eric T. Monson, Richard M. Myers, Dalila Pinto, Abigail Powers, Nicolas Ramoz, Stefan Roepke, Vsevolod Rozanov, Stephen W. Scherer, Christian Schmahl, Marcus Sokolowski, Michael Strober, Laura M. Thornton, Janet Treasure, Ming T. Tsuang, Stephanie H. Witt, D. Blake Woodside, Zeynep Yilmaz, Lea Zillich, Rolf Adolfsson, Ingrid Agartz, Tracy M. Air, Martin Alda, Lars Alfredsson, Ole A. Andreassen, Adebayo Anjorin, Vivek Appadurai, María Soler Artigas, Sandra Van der Auwera, M. Helena Azevedo, Nicholas Bass, Claiton H.D. Bau, Bernhard T. Baune, Frank Bellivier, Klaus Berger, Joanna M. Biernacka, Tim B. Bigdeli, Elisabeth B. Binder, Michael Boehnke, Marco P. Boks, Rosa Bosch, David L. Braff, Richard Bryant, Monika Budde, Enda M. Byrne, Wiepke Cahn, Miguel Casas, Enrique Castelao, Jorge A. Cervilla, Boris Chaumette, Sven Cichon, Aiden Corvin, Nicholas Craddock, David Craig, Franziska Degenhardt, Srdjan Djurovic, Howard J. Edenberg, Ayman H. Fanous, Jerome C. Foo, Andreas J. Forstner, Mark Frye, Janice M. Fullerton, Justine M. Gatt, Pablo V. Gejman, Ina Giegling, Hans J. Grabe, Melissa J. Green, Eugenio H. Grevet, Maria Grigoroiu-Serbanescu, Blanca Gutierrez, Jose Guzman-Parra, Steven P. Hamilton, Marian L. Hamshere, Annette Hartmann, Joanna Hauser, Stefanie Heilmann-Heimbach, Per Hoffmann, Marcus Ising, Ian Jones, Lisa A. Jones, Lina Jonsson, René S. Kahn, John R. Kelsoe, Kenneth S. Kendler, Stefan Kloiber, Karestan C. Koenen, Manolis Kogevinas, Bettina Konte, Marie-Odile Krebs, Mikael Landén, Jacob Lawrence, Marion Leboyer, Phil H. Lee, Douglas F. Levinson, Calwing Liao, Jolanta Lissowska, Susanne Lucae, Fermin Mayoral, Susan L. McElroy, Patrick McGrath, Peter McGuffin, Andrew McQuillin, Sarah E. Medland, Divya Mehta, Ingrid Melle, Yuri Milaneschi, Philip B. Mitchell, Esther Molina, Gunnar Morken, Preben Bo Mortensen, Bertram Müller-Myhsok, Caroline Nievergelt, Vishwajit Nimgaonkar, Markus M. Nöthen, Michael C. O’Donovan, Roel A. Ophoff, Michael J. Owen, Carlos Pato, Michele T. Pato, Brenda W.J.H. Penninx, Jonathan Pimm, Giorgio Pistis, James B. Potash, Robert A. Power, Martin Preisig, Digby Quested, Josep Antoni Ramos-Quiroga, Andreas Reif, Marta Ribasés, Vanesa Richarte, Marcella Rietschel, Margarita Rivera, Andrea Roberts, Gloria Roberts, Guy A. Rouleau, Diego L. Rovaris, Dan Rujescu, Cristina Sánchez-Mora, Alan R. Sanders, Peter R. Schofield, Thomas G. Schulze, Laura J. Scott, Alessandro Serretti, Jianxin Shi, Stanley I. Shyn, Lea Sirignano, Pamela Sklar, Olav B. Smeland, Jordan W. Smoller, Edmund J.S. Sonuga-Barke, Gianfranco Spalletta, John S. Strauss, Beata Świątkowska, Maciej Trzaskowski, Gustavo Turecki, Laura Vilar-Ribó, John B. Vincent, Henry Völzke, James T.R. Walters, Cynthia Shannon Weickert, Thomas W. Weickert, Myrna M. Weissman, Leanne M. Williams, Naomi R. Wray, Clement C. Zai, Allison E. Ashley-Koch, Jean C. Beckham, Elizabeth R. Hauser, Michael A. Hauser, Nathan A. Kimbrel, Jennifer H. Lindquist, Benjamin McMahon, David W. Oslin, Xuejun Qin, Esben Agerbo, Anders D. Børglum, Gerome Breen, Annette Erlangsen, Tõnu Esko, Joel Gelernter, David M. Hougaard, Ronald C. Kessler, Henry R. Kranzler, Qingqin S. Li, Nicholas G. Martin, Andrew M. McIntosh, Ole Mors, Merete Nordentoft, Catherine M. Olsen, David Porteous, Robert J. Ursano, Danuta Wasserman, Thomas Werge, David C. Whiteman, Cynthia M. Bulik, Hilary Coon, Ditte Demontis, Anna R. Docherty, Po-Hsiu Kuo, Cathryn M. Lewis, J. John Mann, Miguel E. Rentería, Daniel J. Smith, Eli A. Stahl, Murray B. Stein, Fabian Streit, Virginia Willour, Douglas M. Ruderfer, Manuel Mattheisen, Abdel Abdellaoui, Mark J. Adams, Till F.M. Andlauer, Silviu-Alin Bacanu, Marie Bækvad-Hansen, Aartjan T.F. Beekman, Julien Bryois, Henriette N. Buttenschøn, Jonas Bybjerg-Grauholm, Na Cai, Jane Hvarregaard Christensen, Toni-Kim Clarke, Lucía Colodro-Conde, Baptiste Couvy-Duchesne, Nick Craddock, Gregory E. Crawford, Gail Davies, Eske M. Derks, Nese Direk, Conor V. Dolan, Erin C. Dunn, Thalia C. Eley, Valentina Escott-Price, Farnush Farhadi Hassan Kiadeh, Hilary K. Finucane, Josef Frank, Héléna A. Gaspar, Michael Gill, Fernando S. Goes, Scott D. Gordon, Shantel Marie Weinsheimer, Jürgen Wellmann, Gonneke Willemsen, Yang Wu, Hualin S. Xi, Jian Yang, Futao Zhang, Volker Arolt, Dorret I. Boomsma, Udo Dannlowski, E.J.C. de Geus, J. Raymond Depaulo, Enrico Domenici, Katharina Domschke, Jakob Grove, Lynsey S. Hall, Christine Søholm Hansen, Thomas F. Hansen, Stefan Herms, Ian B. Hickie, Georg Homuth, Carsten Horn, Jouke-Jan Hottenga, David M. Howard, Rick Jansen, Eric Jorgenson, James A. Knowles, Isaac S. Kohane, Julia Kraft, Warren W. Kretzschmar, Zoltán Kutalik, Yihan Li, Penelope A. Lind, Donald J. MacIntyre, Dean F. MacKinnon, Robert M. Maier, Wolfgang Maier, Jonathan Marchini, Hamdi Mbarek, Christel M. Middeldorp, Evelin Mihailov, Lili Milani, Francis M. Mondimore, Grant W. Montgomery, Sara Mostafavi, Matthias Nauck, Bernard Ng, Michel G. Nivard, Dale R. Nyholt, Paul F. O’Reilly, Hogni Oskarsson, Caroline Hayward, Andrew C. Heath, Glyn Lewis, Pamela A.F. Madden, Patrik K. Magnusson, Andres Metspalu, Sara A. Paciga, Nancy L. Pedersen, Jodie N. Painter, Carsten Bøcker Pedersen, Marianne Giørtz Pedersen, Roseann E. Peterson, Wouter J. Peyrot, Danielle Posthuma, Jorge A. Quiroz, Per Qvist, John P. Rice, Brien P. Riley, Saira Saeed Mirza, Robert Schoevers, Eva C. Schulte, Ling Shen, Engilbert Sigurdsson, Grant C.B. Sinnamon, Johannes H. Smit, Hreinn Stefansson, Stacy Steinberg, Jana Strohmaier, Katherine E. Tansey, Henning Teismann, Alexander Teumer, Wesley Thompson, Pippa A. Thomson, Thorgeir E. Thorgeirsson, Matthew Traylor, Jens Treutlein, Vassily Trubetskoy, André G. Uitterlinden, Daniel Umbricht, Albert M. van Hemert, Alexander Viktorin, Peter M. Visscher, Yunpeng Wang, Bradley T. Webb, Roy H. Perlis, David J. Porteous, Catherine Schaefer, Kari Stefansson, Henning Tiemeier, Rudolf Uher, Patrick F. Sullivan, Kevin S. O’Connell, Brandon Coombes, Zhen Qiao, Thomas D. Als, Sigrid Børte, Alexander W. Charney, Ole Kristian Drange, Michael J. Gandal, Saskia P. Hagenaars, Masashi Ikeda, Nolan Kamitaki, Kristi Krebs, Georgia Panagiotaropoulou, Brian M. Schilder, Laura G. Sloofman, Bendik S. Winsvold, Hong-Hee Won, Liliya Abramova, Kristina Adorjan, Mariam Al Eissa, Diego Albani, Ney Alliey-Rodriguez, Verneri Antilla, Anastasia Antoniou, Ji Hyun Baek, Michael Bauer, Eva C. Beins, Sarah E. Bergen, Armin Birner, Erlend Bøen, Murielle Brum, Ben M. Brumpton, Nathalie Brunkhorst-Kanaan, William Byerley, Murray Cairns, Miquel Casas, Pablo Cervantes, Cristiana Cruceanu, Alfredo Cuellar-Barboza, Julie Cunningham, David Curtis, Piotr M. Czerski, Anders M. Dale, Nina Dalkner, Friederike S. David, Amanda L. Dobbyn, Athanassios Douzenis, Torbjørn Elvsåshagen, I. Nicol Ferrier, Alessia Fiorentino, Tatiana M. Foroud, Liz Forty, Oleksandr Frei, Nelson B. Freimer, Louise Frisén, Katrin Gade, Julie Garnham, Ian R. Gizer, Katherine Gordon-Smith, Tiffany A. Greenwood, José Guzman-Parra, Kyooseob Ha, Magnus Haraldsson, Martin Hautzinger, Urs Heilbronner, Dennis Hellgren, Peter A. Holmans, Laura Huckins, Jessica S. Johnson, Janos L. Kalman, Yoichiro Kamatani, Sarah Kittel-Schneider, Maria Koromina, Thorsten M. Kranz, Michiaki Kubo, Ralph Kupka, Steven A. Kushner, Catharina Lavebratt, Markus Leber, Heon-Jeong Lee, Shawn E. Levy, Catrin Lewis, Martin Lundberg, Sigurdur H. Magnusson, Adam Maihofer, Dolores Malaspina, Eirini Maratou, Lina Martinsson, Nathaniel W. McGregor, James D. McKay, Helena Medeiros, Vincent Millischer, Jennifer L. Moran, Derek W. Morris, Thomas W. Mühleisen, Niamh O’Brien, Claire O’Donovan, Loes M. Olde Loohuis, Lilijana Oruc, Sergi Papiol, Antonio F. Pardiñas, Amy Perry, Andrea Pfennig, Evgenia Porichi, Towfique Raj, Mark H. Rapaport, J. Raymond DePaulo, Eline J. Regeer, Fabio Rivas, Julian Roth, Panos Roussos, Fanny Senner, Sally Sharp, Paul D. Shilling, Claire Slaney, Janet L. 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J., Wasserman, D., Coon, H., Demontis, D., Docherty, A. R., Kuo, P. -H., Mann, J. J., Renteria, M. E., Stein, M. B., Willour, V., Psychiatry, Biological Psychology, APH - Methodology, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, AMS - Sports, AMS - Ageing & Vitality, APH - Personalized Medicine, Amsterdam Neuroscience - Complex Trait Genetics, Complex Trait Genetics, Institute for Molecular Medicine Finland, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, HUS Psychiatry, Department of Public Health, Clinicum, Nuorisopsykiatria, Faculty Common Matters (Faculty of Social Sciences), Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, Biostatistics Helsinki, Anna Keski-Rahkonen / Principal Investigator, Elisabeth Ingrid Maria Widen / Principal Investigator, Genomic Discoveries and Clinical Translation, Internal medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, Mullins N., Kang J., Campos A.I., Coleman J.R.I., Edwards 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T.F.M., Bacanu S.-A., Baekvad-Hansen M., Beekman A.T.F., Bryois J., Buttenschon H.N., Bybjerg-Grauholm J., Cai N., Christensen J.H., Clarke T.-K., Colodro-Conde L., Couvy-Duchesne B., Crawford G.E., Davies G., Derks E.M., Direk N., Dolan C.V., Dunn E.C., Eley T.C., Escott-Price V., Hassan Kiadeh F.F., Finucane H.K., Frank J., Gaspar H.A., Gill M., Goes F.S., Gordon S.D., Weinsheimer S.M., Wellmann J., Willemsen G., Wu Y., Xi H.S., Yang J., Zhang F., Arolt V., Boomsma D.I., Dannlowski U., de Geus E.J.C., Depaulo J.R., Domenici E., Domschke K., Esko T., Grove J., Hall L.S., Hansen C.S., Hansen T.F., Herms S., Hickie I.B., Homuth G., Horn C., Hottenga J.-J., Hougaard D.M., Howard D.M., Jansen R., Jorgenson E., Knowles J.A., Kohane I.S., Kraft J., Kretzschmar W.W., Kutalik Z., Li Y., Lind P.A., MacIntyre D.J., MacKinnon D.F., Maier R.M., Maier W., Marchini J., Mbarek H., Middeldorp C.M., Mihailov E., Milani L., Mondimore F.M., Montgomery G.W., Mostafavi S., Nauck M., Ng B., Nivard M.G., Nyholt D.R., O'Reilly P.F., Oskarsson H., Hayward C., Heath A.C., Lewis G., Li Q.S., Madden P.A.F., Magnusson P.K., Martin N.G., McIntosh A.M., Metspalu A., Mors O., Nordentoft M., Paciga S.A., Pedersen N.L., Painter J.N., Pedersen C.B., Pedersen M.G., Peterson R.E., Peyrot W.J., Posthuma D., Quiroz J.A., Qvist P., Rice J.P., Riley B.P., Mirza S.S., Schoevers R., Schulte E.C., Shen L., Sigurdsson E., Sinnamon G.C.B., Smit J.H., Smith D.J., Stefansson H., Steinberg S., Streit F., Strohmaier J., Tansey K.E., Teismann H., Teumer A., Thompson W., Thomson P.A., Thorgeirsson T.E., Traylor M., Treutlein J., Trubetskoy V., Uitterlinden A.G., Umbricht D., der Auwera S.V., van Hemert A.M., Viktorin A., Visscher P.M., Wang Y., Webb B.T., Perlis R.H., Porteous D.J., Schaefer C., Stefansson K., Tiemeier H., Uher R., Werge T., Lewis C.M., Breen G., Borglum A.D., Sullivan P.F., O'Connell K.S., Coombes B., Qiao Z., Als T.D., Borte S., Charney A.W., Drange O.K., Gandal M.J., Hagenaars S.P., Ikeda M., Kamitaki N., Krebs K., Panagiotaropoulou G., Schilder B.M., Sloofman L.G., Winsvold B.S., Won H.-H., Abramova L., Adorjan K., Al Eissa M., Albani D., Alliey-Rodriguez N., Antilla V., Antoniou A., Baek J.H., Bauer M., Beins E.C., Bergen S.E., Birner A., Boen E., Brum M., Brumpton B.M., Brunkhorst-Kanaan N., Byerley W., Cairns M., Cervantes P., Cruceanu C., Cuellar-Barboza A., Cunningham J., Curtis D., Czerski P.M., Dale A.M., Dalkner N., David F.S., Dobbyn A.L., Douzenis A., Elvsashagen T., Ferrier I.N., Fiorentino A., Foroud T.M., Forty L., Frei O., Freimer N.B., Frisen L., Gade K., Garnham J., Gelernter J., Gizer I.R., Gordon-Smith K., Greenwood T.A., Ha K., Haraldsson M., Hautzinger M., Heilbronner U., Hellgren D., Holmans P.A., Huckins L., Johnson J.S., Kalman J.L., Kamatani Y., Kittel-Schneider S., Koromina M., Kranz T.M., Kranzler H.R., Kubo M., Kupka R., Kushner S.A., Lavebratt C., Leber M., Lee H.-J., Levy S.E., Lewis C., Lundberg M., Magnusson S.H., Maihofer A., Malaspina D., Maratou E., Martinsson L., McGregor N.W., McKay J.D., Medeiros H., Millischer V., Moran J.L., Morris D.W., Muhleisen T.W., O'Brien N., O'Donovan C., Olde Loohuis L.M., Oruc L., Papiol S., Pardinas A.F., Perry A., Pfennig A., Porichi E., Raj T., Rapaport M.H., Regeer E.J., Rivas F., Roth J., Roussos P., Ruderfer D.M., Senner F., Sharp S., Shilling P.D., Slaney C., Sobell J.L., Artigas M.S., Spijker A.T., Stein D.J., Terao C., Toma C., Tooney P., Tsermpini E.-E., Vawter M.P., Vedder H., Xi S., Xu W., Kay Yang J.M., Young A.H., Young H., Zandi P.P., Zhou H., HUNT All-In Psychiatry, Babadjanova G., Backlund L., Bengesser S., Blackwood D.H.R., Carr V.J., Catts S., Dikeos D., Etain B., Ferentinos P., Gawlik M., Gershon E.S., Henskens F., Hillert J., Hong K.S., Hultman C.M., Hveem K., Iwata N., Jablensky A.V., Kirov G., Lochner C., Loughland C., Mathews C.A., McMahon F.J., Michie P., Mowry B., Neale B.M., Nievergelt C.M., Oedegaard K.J., Olsson T., Pantelis C., Patrinos G.P., Reininghaus E.Z., Saito T., Schall U., Schalling M., Scott R.J., Weickert C.S., Stordal E., Vaaler A.E., Vieta E., Waldman I.D., Zwart J.-A., Nurnberger J.I., Stahl E.A., Di Florio A., Adan R.A.H., Ando T., Aschauer H., Baker J.H., Bencko V., Birgegard A., Boden J.M., Boehm I., Boni C., Perica V.B., Buehren K., Bulik C.M., Burghardt R., Carlberg L., Cassina M., Clementi M., Cone R.D., Courtet P., Crowley J.J., Danner U.N., Davis O.S.P., de Zwaan M., Dedoussis G., Degortes D., DeSocio J.E., Dick D.M., Dina C., Dmitrzak-Weglarz M., Martinez E.D., Duncan L.E., Egberts K., Mattingsdal M., McDevitt S., Meulenbelt I., Micali N., Mitchell J., Mitchell K., Monteleone P., Monteleone A.M., Munn-Chernoff M.A., Nacmias B., Navratilova M., Ntalla I., Olsen C.M., O'Toole J.K., Padyukov L., Palotie A., Pantel J., Papezova H., Parker R., Pearson J.F., Ehrlich S., Escaramis G., Espeseth T., Estivill X., Farmer A., Favaro A., Fischer K., Floyd J.A.B., Focker M., Foretova L., Forzan M., Franklin C.S., Gambaro G., 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LD SCORE REGRESSION ,Genome-wide association study ,Suicide, Attempted ,3124 Neurology and psychiatry ,0302 clinical medicine ,Risk Factors ,Insomnia ,Suicide attempt ,GWAS ,Suïcidi ,Depression (differential diagnoses) ,Cause of death ,Psychiatry ,0303 health sciences ,Factors de risc en les malalties ,Mental Disorders ,Genetic Correlation ,Genome-wide Association Study ,Pleiotropy ,Polygenicity ,Suicide ,Suicide Attempt ,DEPRESSION ,3. Good health ,Genetic correlation ,Genome-Wide Association Study ,Humans ,Polymorphism, Single Nucleotide ,Depressive Disorder, Major ,Mental illness ,Cohort ,SEX ,medicine.symptom ,Human ,medicine.medical_specialty ,Risk factors in diseases ,BF ,Locus (genetics) ,BEHAVIORS ,Psykiatri ,EVENTS ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,medicine ,ddc:610 ,GENOME-WIDE ASSOCIATION ,IDEATION ,Socioeconomic status ,METAANALYSIS ,Biological Psychiatry ,030304 developmental biology ,business.industry ,Risk Factor ,Genetic architecture ,THOUGHTS ,RC0321 ,business ,Malalties mentals ,030217 neurology & neurosurgery - Abstract
Statistical analyses were carried out on the NL Genetic Cluster Computer (http://www.geneticcluster.org) hosted by SURFsara and the Mount Sinai high performance computing cluster (http://hpc.mssm.edu), which is supported by the Office of Research Infrastructure of the National Institutes of Health (Grant Nos. S10OD018522 and S10OD026880). This work was conducted in part using the resources of the Advanced Computing Center for Research and Education at Vanderbilt University, Nashville, TN. This work was funded by the National Institutes of Health (Grant Nos. R01MH116269 and R01MH121455 [to DMR]), NIGMS of the National Institutes of Health (Grant No. T32GM007347 [to JK]), and the Brain & Behavior Research Foundation (NARSAD Young Investigator Award No. 29551 [to NM])., BACKGROUND: Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. METHODS: We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. RESULTS: Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. CONCLUSIONS: Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders., Office of Research Infrastructure of the National Institutes of Health S10OD018522 S10OD026880, United States Department of Health & Human Services, National Institutes of Health (NIH) - USA R01MH116269 R01MH121455, NIH National Institute of General Medical Sciences (NIGMS) T32GM007347 NARSAD 29551
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- 2022
49. Affective temperaments across the bipolar–unipolar spectrum: Examination of the TEMPS-A in 927 patients and controls
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Di Florio, Arianna, Hamshere, Marian, Forty, Liz, Green, Elaine K., Grozeva, Detelina, Jones, Ian, Caesar, Sian, Fraser, Christine, Gordon-Smith, Katherine, Jones, Lisa, Craddock, Nick, and Smith, Daniel J.
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TEMPERAMENT testing , *AFFECT (Psychology) , *MENTAL depression , *BIPOLAR disorder , *MOOD (Psychology) , *SECONDARY function (Psychology) , *PATHOLOGICAL psychology - Abstract
Abstract: Objective: There is currently a great deal of interest in the use of affective temperaments as possible intermediate phenotypes for bipolar disorder. However, much of the literature in this area is conflicting. Our aims were to test the hypothesis of a gradient in affective temperament scores, as measured by the Temperament Evaluation of Memphis, Pisa, Paris and San Diego (TEMPS-A), from bipolar disorder type I (BP-I), through bipolar disorder type II (BP-II), recurrent major depressive disorder (MDD-R), and a control group (CG) in the largest sample to date of 927 subjects. Methods: Non parametric tests were used to compare TEMPS-A scores between diagnostic groups and multinomial logistic regression was used to test the association between TEMPS-A scores and diagnosis while controlling for current mood state, age and gender. Results: Although the BP-II group scored higher than the BP-I and MDD-R groups on several TEMPS-A subscales, these differences were not significant when confounding variables were controlled for. The dysthymic subscale differentiated between affected and controls and the anxious subscale differentiated the MDD-R group from controls. Limitations: The cross-sectional design did not allow us to evaluate potential longitudinal changes of temperament scores, which were assessed only with a self-report questionnaire. Conclusion: We failed to find evidence of a gradient in affective temperament scores. Both unipolar and bipolar patients reported high dysthymic scores relative to controls, perhaps supporting a unitary view of depression across the bipolar–unipolar spectrum. Taking account of potential confounders will be important in future studies which seek to use affective temperaments as intermediate phenotypes in genetic research. [Copyright &y& Elsevier]
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- 2010
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50. The Genetic Links to Anxiety and Depression (GLAD) Study: Online recruitment into the largest recontactable study of depression and anxiety.
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Davies, Molly R., Kalsi, Gursharan, Armour, Chérie, Jones, Ian R., McIntosh, Andrew M., Smith, Daniel J., Walters, James T.R., Bradley, John R., Kingston, Nathalie, Ashford, Sofie, Beange, Ioana, Brailean, Anamaria, Cleare, Anthony J., Coleman, Jonathan R.I., Curtis, Charles J., Curzons, Susannah C.B., Davis, Katrina A.S., Dowey, Le Roy C., Gault, Victor A., and Goldsmith, Kimberley A.
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MEDICAL record linkage , *ANXIETY , *ANXIETY treatment , *YOUNG adults - Abstract
Anxiety and depression are common, debilitating and costly. These disorders are influenced by multiple risk factors, from genes to psychological vulnerabilities and environmental stressors, but research is hampered by a lack of sufficiently large comprehensive studies. We are recruiting 40,000 individuals with lifetime depression or anxiety and broad assessment of risks to facilitate future research. The Genetic Links to Anxiety and Depression (GLAD) Study (www.gladstudy.org.uk) recruits individuals with depression or anxiety into the NIHR Mental Health BioResource. Participants invited to join the study (via media campaigns) provide demographic, environmental and genetic data, and consent for medical record linkage and recontact. Online recruitment was effective; 42,531 participants consented and 27,776 completed the questionnaire by end of July 2019. Participants' questionnaire data identified very high rates of recurrent depression, severe anxiety, and comorbidity. Participants reported high rates of treatment receipt. The age profile of the sample is biased toward young adults, with higher recruitment of females and the more educated, especially at younger ages. This paper describes the study methodology and descriptive data for GLAD, which represents a large, recontactable resource that will enable future research into risks, outcomes, and treatment for anxiety and depression. • Online recruitment of 40,000 individuals with lifetime depression or anxiety. • Detailed online phenotyping combined with genetic and clinical data. • The study sample is severe, highly comorbid, with chronic psychopathology. • The study protocol enables recall of participants for future research and trials. [ABSTRACT FROM AUTHOR]
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- 2019
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