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1. Mood episodes in pregnancy and risk of postpartum recurrence in bipolar disorder: The Bipolar Disorder Research Network Pregnancy Study

Author

Katherine Gordon-Smith, Arianna Di Florio, Amy Perry, Ian Jones, Nicholas John Craddock, and Lisa Jones

Subjects
Psychosis, medicine.medical_specialty, Bipolar Disorder, Bipolar I disorder, Bipolar II disorder, Psychiatric history, Pregnancy, Recurrence, medicine, Humans, Prospective Studies, Bipolar disorder, business.industry, Obstetrics, Postpartum Period, Puerperal Disorders, medicine.disease, Psychiatry and Mental health, Clinical Psychology, Psychotic Disorders, Female, medicine.symptom, business, Mania, Postpartum period
Abstract

Background: Women with bipolar disorder (BD) are at high risk of mania/psychosis following childbirth. The risk factors for these episodes remain poorly understood and prospective studies are rare. Here, we examine whether mood episodes occurring within pregnancy predict postpartum recurrence in women with BD using a prospective design.\ud\udMethod: 128 women with DSM-5 BD were followed from week 12 of pregnancy (baseline) to 12-weeks postpartum. Semi-structured interviews, supplemented by clinician questionnaires and case-note review, assessed lifetime psychiatric history at baseline, and perinatal psychopathology at two follow-up assessments: third-trimester of pregnancy and 12-weeks postpartum.\ud\udResults: Postpartum follow-up data were obtained for 124/128 (97%) women [98 bipolar I disorder/schizoaffective-BD (BD-I/SA-BD group) and 26 bipolar II disorder/other specified BD and related disorder (BD-II/BD-OS group)]. Perinatal recurrence was high in both diagnostic groups (57% and 62% respectively). Women with BD-I/SA-BD were significantly more likely to experience mania/psychosis within 6 weeks postpartum (23%, n=22/96) compared to those with BD-II/BD-NOS (4%, n=1/25; p=0.042). In BD-I/SA-BD, mania/psychosis in pregnancy significantly elevated risk of mania/psychosis postpartum compared to remaining well (RR 7.0, p

Published
2021

2. Migraine associated with early onset postpartum depression in women with major depressive disorder

Author

Ian Jones, Katherine Gordon-Smith, Nicholas John Craddock, Paul Ridley, Lisa Jones, and Amy Perry

Subjects
Male, Postpartum depression, medicine.medical_specialty, Migraine Disorders, BF, Major depressive disorder, Depression, Postpartum, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, medicine, Humans, Women, Longitudinal Studies, Family history, Psychiatry, Migraine, Depression (differential diagnoses), Depressive Disorder, Major, Suicide attempt, business.industry, Postpartum Period, Obstetrics and Gynecology, medicine.disease, 3. Good health, 030227 psychiatry, Psychiatry and Mental health, Mood disorders, RC0321, Female, Original Article, business, Lifetime reproductive events, 030217 neurology & neurosurgery, Postpartum period
Abstract

Major depressive disorder (MDD) and migraine are both more common among women than men. Women’s reproductive years are associated with increased susceptibility to recurrence of both conditions, suggesting a potential role of sex hormones in aetiology. We examined associations between comorbid migraine and clinical features of MDD in women, including relationships with lifetime reproductive events such as childbirth. Lifetime clinical characteristics and reproductive events in a well-characterised sample of 222 UK women with recurrent MDD, with (n = 98) and without (n = 124) migraine were compared. Women had all been recruited as part of a UK-based ongoing programme of research into the genetic and non-genetic determinants of mood disorders. Multivariate analysis showed a specific association between the lifetime presence of migraine and postpartum depression (PPD) within 6 weeks of delivery (OR = 2.555; 95% CI: 1.037–6.295, p = 0.041). This association did not extend to a broader definition of PPD with onset up to 6 months postpartum. All other factors included in the analysis were not significantly associated with the presence of migraine: family history of depression, younger age at depression onset, history of suicide attempt and severe premenstrual syndrome symptoms. The finding that women with MDD and comorbid migraine may be particularly sensitive to hormonal changes early in the postpartum period leads to aetiological hypotheses and suggests this group may be useful for future studies attempting to characterise PPD and MDD phenotypes. The refinement of such phenotypes has implications for individualising risk and treatment and for future biological and genetic studies.

Published
2021

3. Identifying the Common Genetic Basis of Antidepressant Response

Author

Sara A. Paciga, Richard M. Weinshilboum, Andrew M. McIntosh, Tim B. Bigdeli, Stephanie H. Witt, Sven Cichon, Glyn Lewis, Henning Teismann, Brenda W.J.H. Penninx, Gerome Breen, Roseann E. Peterson, Saira Saeed Mirza, Diego Albani, Lisa Jones, Andreas J. Forstner, Sara Mostafavi, Julien Bryois, Qingqin S. Li, Kenneth S. Kendler, Thomas Damm Als, Fernando S. Goes, Marie Bækvad-Hansen, Nancy L. Pedersen, Gianluigi Forloni, Per Qvist, Carsten Horn, Per Hoffmann, Steven P. Hamilton, Georg Homuth, Michael Gill, Julien Mendlewicz, Katharina Domschke, Volker Arolt, Adrian I. Campos, Christine Søholm Hansen, Scott D. Gordon, Hogni Oskarsson, Peter McGuffin, Oliver Pain, Eric Jorgenson, Victoria S. Marshe, Stacy Steinberg, Bertram Müller-Myhsok, Mark Adams, J. Raymond DePaulo, Rick Jansen, Katherine J. Aitchison, Vassily Trubetskoy, Henry Völzke, Manuel Mattheisen, Bernard Ng, James A. Knowles, Dorret I. Boomsma, Tracy Air, Elisabeth B. Binder, Ian B. Hickie, Christel M. Middeldorp, Tõnu Esko, David M. Hougaard, E.J.C. de Geus, Toni-Kim Clarke, Helena Gaspar, Bernhard T. Baune, Abdel Abdellaoui, Engilbert Sigurdsson, Andres Metspalu, Klaus Berger, Jorge A. Quiroz, Patrick F. Sullivan, Aartjan T.F. Beekman, Thomas Hansen, Panagiotis Ferentinos, Jürgen Wellmann, Miguel E. Rentería, Daniel Umbricht, Marcella Rietschel, Stanley I. Shyn, Chiara Fabbri, Hreinn Stefansson, Jerome C. Foo, Daniel Souery, Zoltán Kutalik, Yu-Li Liu, Paul F. O'Reilly, Michael John Owen, Nese Direk, Douglas F. Levinson, Stuart Montgomery, Hamdi Mbarek, David M. Howard, Guido Bondolfi, Lucía Colodro-Conde, Pippa A. Thomson, Merete Nordentoft, Stefan Kloiber, Yunpeng Wang, Michael Conlon O'Donovan, Grant C.B. Sinnamon, Alexander Viktorin, Hilary K. Finucane, Esben Agerbo, Stefan Herms, Markus M. Nöthen, Till F. M. Andlauer, Divya Mehta, Bradley T. Webb, Joanna M. Biernacka, David J. Porteous, Jordan W. Smoller, Jonathan R. I. Coleman, Dean F. MacKinnon, Farnush Farhadi Hassan Kiadeh, Baptiste Couvy-Duchesne, Evelin Mihailov, Eleanor M. Wigmore, Franziska Degenhardt, Jianxin Shi, Dale R. Nyholt, Enda M. Byrne, Stephan Ripke, Ole Mors, Patrik K. E. Magnusson, Eric J. Lenze, Warren W. Kretzschmar, Masaki Kato, Marcus Ising, Ian Jones, Lynsey S. Hall, Wouter J. Peyrot, Ling Shen, Nader Perroud, Na Cai, Maciej Trzaskowski, Matthias Nauck, Isaac S. Kohane, Enrico Domenici, Fabian Streit, James L. Kennedy, Peter M. Visscher, Valentina Escott-Price, Donald J. MacIntyre, Enrique Castelao, Margarita Rivera, Mojca Z. Dernovsek, John P. Rice, Joseph Zohar, Gail Davies, Andrew C. Heath, Josef Frank, Wesley K. Thompson, Caroline Hayward, Penelope A. Lind, Thorgeir E. Thorgeirsson, Rudolf Uher, Jana Strohmaier, Henriette N. Buttenschøn, Erin C. Dunn, Jonas Bybjerg-Grauholm, Alexander Teumer, Jakob Grove, Eske M. Derks, Nicholas G. Martin, Jodie N. Painter, Myrna M. Weissman, Preben Bo Mortensen, Michel G. Nivard, Catherine Schaefer, Yihan Li, Daniel J. Smith, Shih-Jen Tsai, Niamh Mullins, Jian Yang, Marianne Giørtz Pedersen, Dan Rujescu, Thomas G. Schulze, Lili Milani, Yuri Milaneschi, Giorgio Pistis, James B. Potash, Neven Henigsberg, Nicholas John Craddock, Karen Hodgson, Silviu-Alin Bacanu, Shantel Weinsheimer, Charles F. Reynolds, Johannes H. Smit, Gonneke Willemsen, Futao Zhang, Henning Tiemeier, Grant W. Montgomery, Martin Preisig, Udo Dannlowski, Thalia C. Eley, Thomas Werge, Katherine E. Tansey, Jane H. Christensen, Julia Kraft, Ian J. Deary, Cathryn M. Lewis, Sarah E. Medland, André G. Uitterlinden, Daniel J. Müller, Carsten Bøcker Pedersen, Gustavo Turecki, Hans J. Grabe, Matthew Traylor, Brien P. Riley, Roy H. Perlis, Patrick J. McGrath, Conor V. Dolan, Hualin S. Xi, Jonathan Marchini, Robert A. Schoevers, Albert M. van Hemert, Anders D. Børglum, Susanne Lucae, Jouke-Jan Hottenga, Kari Stefansson, Benoit H. Mulsant, Francis M. Mondimore, Naomi R. Wray, Yang Wu, Wolfgang Maier, Danielle Posthuma, Annamaria Cattaneo, Gregory E. Crawford, Siegfried Kasper, Alessandro Serretti, Tania Carrillo-Roa, Robert Maier, Pamela A. F. Madden, Eva C. Schulte, Jens Treutlein, Joanna Hauser, Sandra Van der Auwera, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, APH - Methodology, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Adult Psychiatry, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Epidemiology, Child and Adolescent Psychiatry / Psychology, and Internal Medicine

Subjects
Oncology, MDD, medicine.medical_specialty, Single-nucleotide polymorphism, Genome-wide association study, Biology, Antidepressant response, Depression, GWAS, Genetics, Polygenic score, SDG 3 - Good Health and Well-being, Internal medicine, Genetic variation, medicine, ddc:610, Genetic association, General Medicine, Heritability, medicine.disease, Schizophrenia, Sample size determination, Settore BIO/14 - Farmacologia, Major depressive disorder
Abstract

Background: Antidepressants are a first-line treatment for depression. However, only a third of individuals experience remission after the first treatment. Common genetic variation, in part, likely regulates antidepressant response, yet the success of previous genome-wide association studies has been limited by sample size. This study performs the largest genetic analysis of prospectively assessed antidepressant response in major depressive disorder to gain insight into the underlying biology and enable out-of-sample prediction.Methods: Genome-wide analysis of remission (nremit = 1852, nnonremit = 3299) and percentage improvement (n = 5218) was performed. Single nucleotide polymorphism–based heritability was estimated using genome-wide complex trait analysis. Genetic covariance with eight mental health phenotypes was estimated using polygenic scores/AVENGEME. Out-of-sample prediction of antidepressant response polygenic scores was assessed. Gene-level association analysis was performed using MAGMA and transcriptome-wide association study. Tissue, pathway, and drug binding enrichment were estimated using MAGMA.Results: Neither genome-wide association study identified genome-wide significant associations. Single nucleotide polymorphism–based heritability was significantly different from zero for remission (h2 = 0.132, SE = 0.056) but not for percentage improvement (h2 = −0.018, SE = 0.032). Better antidepressant response was negatively associated with genetic risk for schizophrenia and positively associated with genetic propensity for educational attainment. Leave-one-out validation of antidepressant response polygenic scores demonstrated significant evidence of out-of-sample prediction, though results varied in external cohorts. Gene-based analyses identified ETV4 and DHX8 as significantly associated with antidepressant response.Conclusions: This study demonstrates that antidepressant response is influenced by common genetic variation, has a genetic overlap schizophrenia and educational attainment, and provides a useful resource for future research. Larger sample sizes are required to attain the potential of genetics for understanding and predicting antidepressant response.

Published
2022

4. Patterns and clinical correlates of lifetime alcohol consumption in women and men with bipolar disorder: Findings from the UK Bipolar Disorder Research Network

Author

Arianna Di Florio, Ian Jones, Lisa Jones, Nicholas John Craddock, Katie Lewis, Amy Perry, Fransico Manuel Vallejo Auñón, and Katherine Gordon-Smith

Subjects
Male, medicine.medical_specialty, Bipolar Disorder, Bipolar I disorder, Alcohol Drinking, Population, BF, Comorbidity, 03 medical and health sciences, 0302 clinical medicine, mental disorders, medicine, Humans, Bipolar disorder, Psychiatry, education, Biological Psychiatry, Depression (differential diagnoses), education.field_of_study, business.industry, Panic disorder, medicine.disease, United Kingdom, 030227 psychiatry, 3. Good health, Alcoholism, Psychiatry and Mental health, Eating disorders, Female, medicine.symptom, business, Mania, 030217 neurology & neurosurgery
Abstract

Objectives\ud \ud Despite previous literature on comorbid alcohol use disorders (AUDs) in bipolar disorder (BD), little is known about patterns of alcohol use more widely in this population. We have examined lifetime heaviest average weekly alcohol consumption levels in a large well‐characterised UK sample including lifetime clinical correlates of increasing levels of alcohol use.\ud Methods\ud \ud Participants were 1203 women and 673 men with bipolar I disorder interviewed by semi‐structured interview who had consumed alcohol regularly at any point in their life.\ud Results\ud \ud Over half of both women (52.3%) and men (73.6%) had regularly consumed over double the current UK recommended guideline for alcohol consumption. In women and men increasing levels of lifetime alcohol consumption were significantly associated with the presence of suicide attempts (women: OR 1.82, P < .001; men: OR 1.48, P = .005) and rapid cycling (women: OR 1.89, P < .001; men: OR 1.88, P < .001). In women only, increasing levels of alcohol consumption were significantly associated with more episodes of depression (OR 1.35, P < .001) and mania (OR 1.30, P < .004) per illness year, less impairment in functioning during the worst episode of mania (OR 1.02, P < .001), fewer psychiatric admissions (OR 0.51, P < .001), comorbid panic disorder (OR 2.16, P < .001) and eating disorder (OR 2.37, P < .001).\ud Conclusions\ud \ud Our results highlight the clinical importance of obtaining detailed information on levels of alcohol consumption among patients with BD. Increased levels of alcohol use, not necessarily reaching criteria for AUD, may be helpful in predicting BD illness course, in particular eating disorders comorbidity in women.

Published
2020

5. Post-partum psychosis and its association with bipolar disorder in the UK: a case-control study using polygenic risk scores

Author

Ian Jones, Veerle Bergink, Karen Crawford, Michael Conlon O'Donovan, Ganna Leonenko, Nicholas John Craddock, Michael John Owen, Arianna Di Florio, Katherine Gordon-Smith, Valentina Escott-Price, Lisa Jones, Jessica Yang, and Antonio F. Pardiñas

Subjects
Adult, medicine.medical_specialty, Psychosis, Multifactorial Inheritance, Bipolar Disorder, Population, Psychotic depression, Bipolar disorder research, Psychiatric history, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, Psychiatry, education, Biological Psychiatry, education.field_of_study, business.industry, Puerperal Disorders, Middle Aged, medicine.disease, United Kingdom, Psychiatry and Mental health, Psychotic Disorders, Schizophrenia, Case-Control Studies, Female, Psychiatric interview, business
Abstract

For more than 150 years, controversy over the status of post-partum psychosis has hindered research and caused considerable confusion for clinicians and women, with potentially negative consequences. We aimed to explore the hypothesis that genetic vulnerability differs between women with first-onset post-partum psychosis and those with bipolar disorder more generally.In this case-control study on first-onset post-partum psychosis and bipolar disorder in the UK, we included 203 women with first-onset post-partum psychosis (defined as a manic, mixed, or psychotic depression episode within 6 weeks of delivery without a psychiatric history) and 1225 parous women with a history of bipolar disorder. Information on women with bipolar disorder was obtained from the Bipolar Disorder Research Network database, and participants were recruited through screening community mental health teams across the UK and via the media and patient support organisations. All were assessed using a semistructured face-to-face psychiatric interview and psychiatric case note review. 2809 women from the general population were recruited via the national UK Blood Services and the 1958 Birth Cohort (UK National Child Development Study) as controls and matched to cases according to genetic ancestry. All self-reported their ethnicity as White and were recruited from across the UK. Polygenic risk scores (PRSs) were generated from discovery genome-wide association studies of schizophrenia, bipolar disorder, and major depression. Logistic regression was used to model the effect of each PRS on diagnosis, and the RRs and ORs presented were adjusted for ten principal components of genetic variation to account for population stratification.203 women with first-onset post-partum psychosis (median age at interview: 46 years [IQR 37-55]) and 1225 women with bipolar disorder (49 years [41-58]) were recruited between September, 1991, and May, 2013, as well as 2809 controls. Women with first-onset post-partum psychosis had similar bipolar disorder and schizophrenia PRSs to women with bipolar disorder, which were significantly higher than those of controls. When compared with controls, women with first-onset post-partum psychosis had an adjusted relative risk ratio (RR) for bipolar disorder PRSs of 1·71 (95% CI 1·56-1·86, p0·0001) and for schizophrenia PRSs of 1·82 (1·66-1·97, p0·0001). The effect sizes were similar when comparing women with bipolar disorder to controls (adjusted RR 1·77 [1·69-1·84], p0·0001 for bipolar disorder PRSs; 2·00 (1·92-2·08), p0·0001 for schizophrenia PRSs). Although women with bipolar disorder also had higher major depression PRSs than did controls (1·24 [1·17-1·31], p0·0001), women with first-onset post-partum psychosis did not differ from controls in their polygenic liability to major depression (0·97 (0·82-1·11), p=0·63).Our study supports the recognition of first-onset post-partum psychosis as a separate nosological entity within the bipolar disorder spectrum both in research and clinical settings.Wellcome Trust and Medical Research Council.

Published
2021

6. Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder

Author

Arianna DiFlorio, Patrick F. Sullivan, Sebastian Zöllner, Margarita Rivera, Richard M. Myers, Stanley J. Watson, Jun Li, Anders Juréus, Sarah E. Bergen, Gonçalo R. Abecasis, Jordan W. Smoller, Michael Conlon O'Donovan, Neil Risch, Hoang T. Nguyen, Chen Jiang, Xiaoming Jia, Mehdi Pirooznia, Danielle Posthuma, Adam E. Locke, Peter P. Zandi, John B. Vincent, Niamh Mullins, Duncan Palmer, Shaun Purcell, Gerome Breen, Christina M. Hultman, Andreas Reif, Khanh K. Thai, Virginia L. Willour, Pui-Yan Kwok, Laura J. Scott, Anne U. Jackson, Michael John Owen, Fernando S. Goes, Steven A. McCarroll, James B. Potash, Mikael Landén, Jennifer L. Moran, Michele T. Pato, Hyun Min Kang, Marco P. Boks, Sinéad B. Chapman, W. Richard McCombie, Janet L. Sobell, Matthew Zawistowski, Rolf Adolfsson, Yongwen Zhuang, Michael Boehnke, René S. Kahn, Huda Akil, James T.R. Walters, Margit Burmeister, Douglas Blackwood, Cathryn M. Lewis, Eli A. Stahl, Mark N. Kvale, Melissa DelaBastide, Catherine Schaefer, Benjamin M. Neale, Giulio Genovese, Carlos N. Pato, Nicholas John Craddock, Andrew McQuillin, Shawn Levy, Aiden Corvin, Pamela Sklar, Weiqing Wang, Andrew M. McIntosh, Ling Shen, Eric T. Monson, Derek W. Morris, Douglas M. Ruderfer, Roel A. Ophoff, Peter McGuffin, Sarah Cohen-Woods, Willem H. Ouwehand, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Goes, Fernando S [0000-0001-6262-8264], Locke, Adam E [0000-0001-6227-198X], Palmer, Duncan [0000-0002-0824-0047], Wang, Weiqing [0000-0003-1565-0148], Genovese, Giulio [0000-0003-3066-5575], Jackson, Anne U [0000-0002-9672-2547], Nguyen, Hoang [0000-0001-6910-7269], Pirooznia, Mehdi [0000-0002-4210-6458], Zawistowski, Matthew [0000-0002-3005-083X], Abecasis, Gonçalo [0000-0003-1509-1825], Bergen, Sarah [0000-0002-5888-0034], Burmeister, Margit [0000-0002-1914-2434], Kwok, Pui-Yan [0000-0002-5087-3059], Li, Jun Z [0000-0001-6727-0812], Levy, Shawn E [0000-0002-1369-5740], Watson, Stanley [0000-0003-4980-5523], Blackwood, Douglas [0000-0002-4076-9346], Boehnke, Michael [0000-0002-6442-7754], Breen, Gerome [0000-0003-2053-1792], Landen, Mikael [0000-0002-4496-6451], Lewis, Cathryn [0000-0002-8249-8476], McCarroll, Steven A [0000-0002-6954-8184], McIntosh, Andrew [0000-0002-0198-4588], McQuillin, Andrew [0000-0003-1567-2240], Morris, Derek [0000-0002-3413-570X], O'Donovan, Michael [0000-0001-7073-2379], Boks, Marco [0000-0001-6163-7484], Kahn, Rene [0000-0001-5909-8004], Ouwehand, Willem [0000-0002-7744-1790], Owen, Michael [0000-0003-4798-0862], Potash, James B [0000-0002-5802-8079], Reif, Andreas [0000-0002-0992-634X], Vincent, John [0000-0003-0692-2519], Neale, Benjamin [0000-0003-1513-6077], Purcell, Shaun [0000-0002-7402-5812], Schaefer, Catherine [0000-0003-2644-055X], Stahl, Eli A [0000-0002-1192-0561], Zandi, Peter P [0000-0001-8423-2623], Scott, Laura J [0000-0002-4886-5084], Apollo - University of Cambridge Repository, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Digital Health

Subjects
Bipolar Disorder, Genome-wide association study, Biology, Medical and Health Sciences, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Clinical Research, Genetic variation, medicine, Genetics, 2.1 Biological and endogenous factors, Humans, Exome, Genetic Predisposition to Disease, Bipolar disorder, Polymorphism, Molecular Biology, Gene, 030304 developmental biology, Medicinsk genetik, Psychiatry, 0303 health sciences, Prevention, Human Genome, Psychology and Cognitive Sciences, Genetic Variation, Single Nucleotide, Heritability, Biological Sciences, medicine.disease, Serious Mental Illness, Phenotype, 3. Good health, Brain Disorders, Psychiatry and Mental health, Mental Health, Schizophrenia, Medical Genetics, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Bipolar disorder (BD) is a serious mental illness with substantial common variant heritability. However, the role of rare coding variation in BD is not well established. We examined the protein-coding (exonic) sequences of 3,987 unrelated individuals with BD and 5,322 controls of predominantly European ancestry across four cohorts from the Bipolar Sequencing Consortium (BSC). We assessed the burden of rare, protein-altering, single nucleotide variants classified as pathogenic or likely pathogenic (P-LP) both exome-wide and within several groups of genes with phenotypic or biologic plausibility in BD. While we observed an increased burden of rare coding P-LP variants within 165 genes identified as BD GWAS regions in 3,987 BD cases (meta-analysis OR = 1.9, 95% CI = 1.3–2.8, one-sided p = 6.0 × 10−4), this enrichment did not replicate in an additional 9,929 BD cases and 14,018 controls (OR = 0.9, one-side p = 0.70). Although BD shares common variant heritability with schizophrenia, in the BSC sample we did not observe a significant enrichment of P-LP variants in SCZ GWAS genes, in two classes of neuronal synaptic genes (RBFOX2 and FMRP) associated with SCZ or in loss-of-function intolerant genes. In this study, the largest analysis of exonic variation in BD, individuals with BD do not carry a replicable enrichment of rare P-LP variants across the exome or in any of several groups of genes with biologic plausibility. Moreover, despite a strong shared susceptibility between BD and SCZ through common genetic variation, we do not observe an association between BD risk and rare P-LP coding variants in genes known to modulate risk for SCZ., International Bipolar Sequencing Consortium (NIMH) R01 MH 110437, Whole Genome Sequencing for Schizophrenia and Biopolar Disorder in the GPS (NIMH) UO1 MH105653, Whole Genome and Exome Sequencing for Bipolar Disorder (NIMH) R01 MH 094145, Multi-ethnic GWAS of Bipolar I Disorder (NIH) R01 MH 085543, Genetic Epidemiology Research in Adult Health and Aging (GERA) RC2 AG036607, Kaiser Permanente Research Program on Genes, Environment, and Health, Rare Bipolar Loci Identification Through Synaptome Sequencing (NIMH) R01 MH 087979 MH 087992, 2/2 Large Scale Genetic Studies of Schizophrenia in Sweden R01MH095034, 1/3 Genetic Analysis of the International Cohort Collection for Bipolar Disorder R01MH106531, 1/2 Large Scale Genetic Studies of Schizophrenia in Sweden R01MH077139, 2/3 Genetic Analysis of the International Cohort Collection for Bipolar Disorder R01MH106527, Dalio Foundation

Published
2021

7. Large-scale roll out of electronic longitudinal mood-monitoring for research in affective disorders: Report from the UK bipolar disorder research network

Author

Kate E. A. Saunders, Katherine Gordon-Smith, Ian Jones, John R. Geddes, Chris Hinds, Nicholas John Craddock, Paul Harrison, and Lisa Jones

Subjects
Adult, Male, RM, medicine.medical_specialty, Bipolar Disorder, Monitoring, Ambulatory, Psychological Techniques, Clinical settings, Online Systems, Bipolar disorder research, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Longitudinal Studies, Prospective Studies, Psychiatry, Mood Disorders, business.industry, Middle Aged, Patient Acceptance of Health Care, R1, United Kingdom, 030227 psychiatry, Affect, Psychiatry and Mental health, Clinical Psychology, Mood, Scale (social sciences), RC0321, Feasibility Studies, Female, Metacognition, business, 030217 neurology & neurosurgery
Abstract

Background Electronic longitudinal mood monitoring has been shown to be acceptable to patients with affective disorders within clinical settings, but its use in large-scale research has not yet been established. Methods Using both postal and email invitations, we invited 4080 past research participants with affective disorders who were recruited into the Bipolar Disorder Research Network (BDRN) over a 10 year period to participate in online weekly mood monitoring. In addition, since January 2015 we have invited all newly recruited BDRN research participants to participate in mood monitoring at the point they were recruited into BDRN. Results Online mood monitoring uptake among past participants was 20%, and among new participants to date was 46% with participants recruited over the last year most likely to register (61%). More than 90% mood monitoring participants engaged for at least one month, with mean engagement period greater than one year (58 weeks) and maximum engagement for longer than three years (165 weeks). There were no significant differences in the proportion of past and new BDRN participants providing data for at least 4 weeks (91%, 92% respectively), 3 months (78%, 82%), 6 months (65%, 54%) or one year (51%, 44%). Limitations Our experiences with recruiting participants for electronic prospective mood monitoring may not necessarily generalise fully to research situations that are very different from those we describe. Conclusions Large-scale electronic longitudinal mood monitoring in affective disorders for research purposes is feasible with uptake highest among newly recruited participants.

Published
2019

8. Characterization of Age and Polarity at Onset in Bipolar Disorder

Author

Aiden Corvin, Maria Grigoroiu-Serbanescu, Mark Hyman Rapaport, Frederike T. Fellendorf, Urs Heilbronner, Mariam M. Al Eissa, John J Nurnberger, Claire O'Donovan, Claire Slaney, Mark A. Frye, Niamh L. O'Brien, Roland Hasler, Michael John Owen, Michael Conlon O'Donovan, Farah Klöhn-Saghatolislam, Markus M. Nöthen, Scott R. Clark, Mikael Landén, Lina Jonsson, Peter Falkai, Qingqin S. Li, Alessio Squassina, Simon Schmitt, Gustavo Turecki, Heike Anderson-Schmidt, Jonathan Repple, Sofie R. Aminoff, Eduard Vieta, Katherine Gordon-Smith, Stéphane Jamain, William Byerley, Hélène Richard-Lepouriel, Fermín Mayoral, Francis J. McMahon, Marin Veldic, Ingrid Melle, Andrew McQuillin, Nicholas Bass, Gloria Roberts, Douglas M. Ruderfer, John B. Vincent, Nelson B. Freimer, Kirov George, Wei Xu, Susan L. McElroy, Ceylan Balaban, Marco P. Boks, Franziska Degenhardt, Paul E. Croarkin, Wade H. Berrettini, Piotr M. Czerski, Fernando S. Goes, Peter P. Zandi, Sabrina K. Schaupp, Barbara W. Schweizer, Andrew M. McIntosh, Marcella Rietschel, Helena Pelin, Evelyn J. Bromet, Marion Leboyer, Ole A. Andreassen, Georgia Panagiotaropoulou, Alessia Fiorentino, Sally I. Sharp, Torbjørn Elvsåshagen, Kristina Adorjan, Monika Budde, Lisa Jones, Thomas G. Schulze, Vihra Milanova, Janos Kalman, Tim B. Bigdeli, Esther Jiménez, Abigail Ortiz, Dolores Malaspina, Kevin S. O’Connell, Sergi Papiol, Mario Maj, Tim Hahn, Frederike Stein, Jordan W. Smoller, Tomas Novak, Katrin Gade, J. Raymond DePaulo, Sarah Kittel-Schneider, Julia-Katharina Pfarr, Martin Alda, James A. Knowles, Sven Cichon, David Craig, Eli A. Stahl, William A. Scheftner, Bruno Etain, Annabel Vreeker, Guy A. Rouleau, Stephan Ripke, Clement C. Zai, Frank Bellivier, Giovanni Severino, Palmiero Monteleone, Ian Jones, Bertram Müller-Myhsok, Mark Adams, John Strauss, Philip B. Mitchell, Andreas Reif, Fabian Streit, Roel A. Ophoff, James L. Kennedy, Nils Opel, Raffaella Ardau, Paul Grof, Peter R. Schofield, Susanne Bengesser, Maria Hake, Loes M. Olde Loohuis, Joanna Pawlak, Daniela Reich-Erkelenz, Ingrid Agartz, Maria Del Zompo, Antonio Benabarre, Bernhard T. Baune, Arianna Di Florio, Ashley L. Comes, Michael Gill, Cristiana Cruceanu, Susanne Meinert, William Coryell, Alessio Maria Monteleone, Fanny Senner, Trine Vik Lagerberg, Jose Guzman-Parra, Erik Pålsson, Elliot S. Gershon, Melvin G. McInnis, Pavla Stopkova, Nikolaos Koutsouleris, René S. Kahn, Janice M. Fullerton, Howard J. Edenberg, Tilo Kircher, Nina Dalkner, Udo Dannlowski, Rolf Adolfsson, Alfonso Tortorella, Jean-Michel Aubry, James B. Potash, Catina Chillotti, Eva Z. Reininghaus, Janet L. Sobell, Thorsten M. Kranz, Tina Meller, Ayman H. Fanous, Kai Ringwald, K Oliver Schubert, Andreas J. Forstner, Till F. M. Andlauer, Helena Medeiros, Mirko Manchia, Joanna M. Biernacka, Katharina Brosch, Julie Garnham, Olav B. Smeland, Eva C. Schulte, Carlos N. Pato, Nicholas John Craddock, Srdjan Djurovic, Pablo Cervantes, Michele T. Pato, John R. Kelsoe, Claudia Pisanu, Joanna Twarowska-Hauser, and William Lawson

Subjects
0303 health sciences, medicine.medical_specialty, business.industry, Genome-wide association study, Disease, Heritability, medicine.disease, Genetic architecture, 03 medical and health sciences, 0302 clinical medicine, Autism spectrum disorder, Schizophrenia, Internal medicine, medicine, Bipolar disorder, business, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract

BackgroundStudying the phenotypic and genetic characteristics of age and polarity at onset (AAO, PAO) in bipolar disorder (BD) can provide new insights into disease pathology and facilitate the development of screening tools.AimsTo examine the genetic architecture of AAO and PAO and their association with BD disease characteristics.MethodsGenome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (N=12977) and PAO (N=6773) were conducted in BD patients of 34 cohorts and a replication sample (N=2237). The association of onset with disease characteristics was investigated in two of these cohorts.ResultsEarlier AAO was associated with an increased risk of psychotic symptoms, suicidality, and fewer episodes. A depressive onset correlated with lifetime suicidality and a manic onset with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in SNV-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased polygenic scores for autism spectrum disorder (β=-0.34 years, SE=0.08), major depression (β=-0.34 years, SE=0.08), schizophrenia (β=-0.39 years, SE=0.08), and educational attainment (β=-0.31 years, SE=0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.ConclusionsAAO and PAO are associated with indicators of BD severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents, and phenotype definitions introduce significant heterogeneity, affecting analyses.RELEVANCE STATEMENTIn the largest study to systematically characterize age at onset (N=12977) and polarity at onset (N=6773) in bipolar disorder, we describe an association between illness onset characteristics and indicators of severity, confirming their clinical relevance. Our study shows that that early illness onset is associated with genetic liability for a broad range of psychiatric disorders. However, we also highlight systematic differences in age at onset across cohorts, continents, and phenotype definitions. This heterogeneity results in reduced heritability and affects genetic analyses, underscoring the need for the development of standardized phenotype definitions.

Published
2021

9. Exome sequencing in bipolar disorder reveals shared risk geneAKAP11with schizophrenia

Author

Matthew Solomonson, Michael Conlon O'Donovan, Nancy L. Pedersen, Faith Dickerson, Eli A. Stahl, Neil Risch, Catherine Schaefer, Laura J. Scott, René S. Kahn, Duncan S. Palmer, Derek W. Morris, Claire Churchhouse, Xiaoming Jia, James T.R. Walters, Andrew M. McIntosh, Chia-Yen Chen, Michael John Owen, Arianna Di Florio, Lina Jonsson, Benjamin M. Neale, Roel A. Ophoff, Annabel Vreeker, Tarjinder Singh, Douglas Blackwood, Nicholas John Craddock, Jordan W. Smoller, Ian Jones, Weiqing Wang, Peter P. Zandi, Marco P. Boks, Fernando S. Goes, Lisa Jones, Robert H. Yolken, Mikael Landén, David Curtis, Danielle Posthuma, Andreas Reif, David St Clair, Sinéad B. Chapman, Nicholas A. Watts, Rolf Adolfsson, Adam E. Locke, Aiden Corvin, Nick Bass, Daniel P. Howrigan, and Andrew McQuillin

Subjects
Genetics, business.industry, Schizophrenia, Medicine, Risk gene, Genome-wide association study, Bipolar disorder, business, medicine.disease, Exome, Gene, GSK3B, Exome sequencing
Abstract

Here we report results from the Bipolar Exome (BipEx) collaboration analysis of whole exome sequencing of 13,933 individuals diagnosed with bipolar disorder (BD), matched with 14,422 controls. We find an excess of ultra-rare protein-truncating variants (PTVs) in BD patients among genes under strong evolutionary constraint, a signal evident in both major BD subtypes, bipolar 1 disorder (BD1) and bipolar 2 disorder (BD2). We also find an excess of ultra-rare PTVs within genes implicated from a recent schizophrenia exome meta-analysis (SCHEMA; 24,248 SCZ cases and 97,322 controls) and among binding targets of CHD8. Genes implicated from GWAS of BD, however, are not significantly enriched for ultra-rare PTVs. Combining BD gene-level results with SCHEMA,AKAP11emerges as a definitive risk gene (ultra-rare PTVs seen in 33 cases and 13 controls, OR = 7.06,P= 2.83 × 10−9). At the protein level, AKAP-11 is known to interact with GSK3B, the hypothesized mechanism of action for lithium, one of the few treatments for BD. Overall, our results lend further support to the polygenic basis of BD and demonstrate a role for rare coding variation as a significant risk factor in BD onset.

Published
2021

10. CLINICAL RELEVANCE OF GENOTYPE-PHENOTYPE ANALYSES WITHIN BIPOLAR DISORDER AND ACROSS THE MOOD AND PSYCHOSIS SPECTRUM

Author

Nicholas John Craddock, Michael Conlon O'Donovan, Charlotte Dennison, Ian Jones, James T.R. Walters, Amedeo Primerano, Katherine Gordon-Smith, Alexander Richards, Sophie E. Legge, Michael John Owen, Arianna Di Florio, and Lisa Jones

Subjects
Pharmacology, Psychosis, business.industry, medicine.disease, Genotype phenotype, Psychiatry and Mental health, Mood, Neurology, medicine, Pharmacology (medical), Clinical significance, Neurology (clinical), Bipolar disorder, business, Biological Psychiatry, Clinical psychology
Published
2021

11. TU25. POLYGENIC PREDICTION OF LONGITUDINAL COURSE IN BIPOLAR DISORDER

Author

Valentina Escott-Price, Arianna Di Florio, Ian Jones, Katherine Gordon-Smith, Nicholas John Craddock, Amedeo Primerano, and Lisa Jones

Subjects
Pharmacology, Longitudinal Course, Psychiatry and Mental health, Neurology, business.industry, medicine, Pharmacology (medical), Neurology (clinical), Bipolar disorder, medicine.disease, business, Biological Psychiatry, Clinical psychology
Published
2021

12. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

Author

James McKay, Frank Bellivier, Mark A. Frye, Bertram Müller-Myhsok, Fermín Mayoral, I. Nicol Ferrier, Marion Leboyer, Fabian Streit, Dan J. Stein, James L. Kennedy, Christine Søholm Hansen, Scott D. Gordon, Beata Świątkowska, Valentina Escott-Price, Michael Bauer, Lina Martinsson, Donald J. MacIntyre, Oleksandr Frei, Daniel J. Smith, Sara A. Paciga, Takeo Saito, Jennifer L. Moran, Verneri Antilla, C Pantelis, Tomas Olsson, Swapnil Awasthi, Lena Backlund, Eirini Maratou, Martin Schalling, John B. Vincent, Niamh Mullins, Sarah E. Bergen, Niamh L. O'Brien, Marco P. Boks, Carsten Bøcker Pedersen, Mikael Landén, Franziska Degenhardt, Hang Zhou, Margarita Rivera, Andrew M. McIntosh, Manuel Mattheisen, Shawn Levy, Roy H. Perlis, John P. Rice, Sigurdur H. Magnusson, Amanda Dobbyn, Michael Conlon O'Donovan, Julien Bryois, Wolfgang Maier, John-Anker Zwart, J. Raymond DePaulo, Martin Alda, Laura G. Sloofman, Friederike Sophie David, James A. Knowles, Aiden Corvin, Thomas G. Schulze, Markus M. Nöthen, Nolan Kamitaki, Nina Dalkner, Brandon J. Coombes, Gustavo Turecki, Allan H. Young, Caroline M. Nievergelt, Patricia T. Michie, Ingrid Agartz, Towfique Raj, Diego Albani, Maria Grigoroiu-Serbanescu, Bernhard T. Baune, Kyooseob Ha, Vincent Millischer, Engilbert Sigurdsson, Eva C. Beins, Nicholas G. Martin, Gulja Babadjanova, Josef Frank, Eva Z. Reininghaus, Patrick F. Sullivan, Ian R. Gizer, Guy A. Rouleau, Carmel M. Loughland, Christine Lochner, Thorsten M. Kranz, Amy Perry, Arne E. Vaaler, Mariam M. Al Eissa, Simon Xi, Claire O'Donovan, Josep Antoni Ramos-Quiroga, Ketil J. Oedegaard, Helmut Vedder, Carol A. Mathews, Panagiotis Ferentinos, Tim B. Bigdeli, Derek W. Morris, Per Hoffmann, Mark Hyman Rapaport, Peter P. Zandi, Michael John Owen, Douglas M. Ruderfer, Anders D. Børglum, Catharina Lavebratt, Thorgeir E. Thorgeirsson, Paul A. Tooney, Michiaki Kubo, Steven A. Kushner, Jan Hillert, Loes M. Olde Loohuis, Anastasia Antoniou, Murielle Brum, Chikashi Terao, Nathaniel W. McGregor, Fabio Rivas, James B. Potash, Kevin S. O’Connell, Susanne Lucae, Brian M. Schilder, Katrin Gade, Stephan Ripke, Kristina Adorjan, Kari Stefansson, Tiffany A. Greenwood, Panos Roussos, Sarah Kittel-Schneider, Steven A. McCarroll, Sergi Papiol, Heon Jeong Lee, Assen Jablensky, Liliya Abramova, Dennis Hellgren, Jonas Bybjerg-Grauholm, Martin Lundberg, Hong-Hee Won, William Byerley, Lars Alfredsson, Joel Gelernter, Andrew McQuillin, Claire Slaney, Marta Ribasés, Stephanie H. Witt, Yoichiro Kamatani, Kyung Sue Hong, Marie Bækvad-Hansen, María Soler Artigas, Julie M. Cunningham, Fanny Senner, Stacy Steinberg, Paul D. Shilling, Nakao Iwata, Eystein Stordal, Armin Birner, Sarah E. Medland, Miquel Casas, Ben Michael Brumpton, Erlend Bøen, Bryan J. Mowry, Jolanta Lissowska, Francis J. McMahon, Howard J. Edenberg, Grant W. Montgomery, John I. Nurnberger, Stéphane Jamain, Claudio Toma, Ney Alliey-Rodriguez, Ole Mors, Micha Gawlik, David Curtis, Catrin Lewis, Evangelia-Eirini Tsermpini, Georgia Panagiotaropoulou, Marcella Rietschel, Jessica Yang, Ian Jones, Eduard Vieta, Ole A. Andreassen, Richard M. Myers, Dimitris Dikeos, Melissa J. Green, Janet L. Sobell, Maria Koromina, Piotr M. Czerski, Lilijana Oruc, Sven Cichon, Udo Dannlowski, Bruno Etain, Monika Budde, Alessia Fiorentino, Naomi R. Wray, Qingqin S. Li, Murray J. Cairns, Jonathan R. I. Coleman, Jose Guzman-Parra, Andreas J. Forstner, Hannah Young, Alfredo B. Cuellar-Barboza, Julian Roth, Torbjørn Elvsåshagen, Zhen Qiao, Thomas Werge, Athanassios Douzenis, Cristiana Cruceanu, Rolf Adolfsson, Peter Holmans, Vaughan J. Carr, Thomas W. Weickert, Masashi Ikeda, Joanna M. Biernacka, Lea Sirignano, Adam X. Maihofer, Ralph W. Kupka, John Strauss, Anders M. Dale, Elliot S. Gershon, Jakob Grove, Arianna Di Florio, Helena Medeiros, Ingrid Melle, Preben Bo Mortensen, Kristi Krebs, Saskia P. Hagenaars, Liz Forty, Stanley V. Catts, David M. Hougaard, Marianne Giørtz Pedersen, Andreas Reif, Toni-Kim Clarke, Anne T. Spijker, Danielle Posthuma, Manolis Kogevinas, Michael Boehnke, Rosa Bosch, Gerome Breen, Benjamin M. Neale, Jessica S. Johnson, Katherine Gordon-Smith, Cristina Sánchez-Mora, Alexander W. Charney, Henry R. Kranzler, Digby Quested, René S. Kahn, Lili Milani, Merete Nordentoft, Nathalie Brunkhorst-Kanaan, Laura M. Huckins, James T.R. Walters, Sigrid Børte, Antonio F. Pardiñas, Kristian Hveem, Julie Garnham, Jacob Lawrence, Vassily Trubetskoy, Rodney J. Scott, Nicholas Bass, Carlos N. Pato, Andrea Pfennig, Wei Xu, Calwing Liao, Nicholas John Craddock, Thomas Damm Als, Christina M. Hultman, Fernando S. Goes, Adebayo Anjorin, Evgenia Porichi, Frans Henskens, Nelson B. Freimer, Janice M. Fullerton, Cathryn M. Lewis, Srdjan Djurovic, Roel A. Ophoff, Phil Lee, Peter McGuffin, Gunnar Morken, George P. Patrinos, Alessandro Serretti, Cynthia Shannon Weickert, Pablo Cervantes, Bendik S. Winsvold, Tatiana Foroud, Tõnu Esko, Ulrich Schall, Michele T. Pato, Ji Hyun Baek, John R. Kelsoe, Olav B. Smeland, Janos Kalman, Eva C. Schulte, Joanna Hauser, Urs Heilbronner, Magnús Haraldsson, Martin Hautzinger, Lea Zillich, Eline J. Regeer, Douglas Blackwood, Laura J. Scott, Jordan W. Smoller, Michael J. Gandal, Marquis P. Vawter, Philip B. Mitchell, Ole Kristian Drange, Peter R. Schofield, Susanne Bengesser, Stefan Herms, George Kirov, Markus Leber, Louise Frisén, Thomas W. Mühleisen, Susan L. McElroy, Irwin D. Waldman, Wade H. Berrettini, Sally I. Sharp, Minsoo Kim, Lisa Jones, Eli A. Stahl, Hreinn Stefansson, Esben Agerbo, Dolores Malaspina, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), APH - Digital Health, Mullins N., Forstner A.J., O'Connell K.S., Coombes B., Coleman J.R.I., Qiao Z., Als T.D., Bigdeli T.B., Borte S., Bryois J., Charney A.W., Drange O.K., Gandal M.J., Hagenaars S.P., Ikeda M., Kamitaki N., Kim M., Krebs K., Panagiotaropoulou G., Schilder B.M., Sloofman L.G., Steinberg S., Trubetskoy V., Winsvold B.S., Won H.-H., Abramova L., Adorjan K., Agerbo E., Al Eissa M., Albani D., Alliey-Rodriguez N., Anjorin A., Antilla V., Antoniou A., Awasthi S., Baek J.H., Baekvad-Hansen M., Bass N., Bauer M., Beins E.C., Bergen S.E., Birner A., Bocker Pedersen C., Boen E., Boks M.P., Bosch R., Brum M., Brumpton B.M., Brunkhorst-Kanaan N., Budde M., Bybjerg-Grauholm J., Byerley W., Cairns M., Casas M., Cervantes P., Clarke T.-K., Cruceanu C., Cuellar-Barboza A., Cunningham J., Curtis D., Czerski P.M., Dale A.M., Dalkner N., David F.S., Degenhardt F., Djurovic S., Dobbyn A.L., Douzenis A., Elvsashagen T., Escott-Price V., Ferrier I.N., Fiorentino A., Foroud T.M., Forty L., Frank J., Frei O., Freimer N.B., Frisen L., Gade K., Garnham J., Gelernter J., Giortz Pedersen M., Gizer I.R., Gordon S.D., Gordon-Smith K., Greenwood T.A., Grove J., Guzman-Parra J., Ha K., Haraldsson M., Hautzinger M., Heilbronner U., Hellgren D., Herms S., Hoffmann P., Holmans P.A., Huckins L., Jamain S., Johnson J.S., Kalman J.L., Kamatani Y., Kennedy J.L., Kittel-Schneider S., Knowles J.A., Kogevinas M., Koromina M., Kranz T.M., Kranzler H.R., Kubo M., Kupka R., Kushner S.A., Lavebratt C., Lawrence J., Leber M., Lee H.-J., Lee P.H., Levy S.E., Lewis C., Liao C., Lucae S., Lundberg M., MacIntyre D.J., Magnusson S.H., Maier W., Maihofer A., Malaspina D., Maratou E., Martinsson L., Mattheisen M., McCarroll S.A., McGregor N.W., McGuffin P., McKay J.D., Medeiros H., Medland S.E., Millischer V., Montgomery G.W., 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., Potash J.B., Quested D., Raj T., Rapaport M.H., DePaulo J.R., Regeer E.J., Rice J.P., Rivas F., Rivera M., Roth J., Roussos P., Ruderfer D.M., Sanchez-Mora C., Schulte E.C., Senner F., Sharp S., Shilling P.D., Sigurdsson E., Sirignano L., Slaney C., Smeland O.B., Smith D.J., Sobell J.L., Soholm Hansen C., Soler Artigas M., Spijker A.T., Stein D.J., Strauss J.S., Swiatkowska B., Terao C., Thorgeirsson T.E., Toma C., Tooney P., Tsermpini E.-E., Vawter M.P., Vedder H., Walters J.T.R., Witt S.H., Xi S., Xu W., Yang J.M.K., Young A.H., Young H., Zandi P.P., Zhou H., Zillich L., Adolfsson R., Agartz I., Alda M., Alfredsson L., Babadjanova G., Backlund L., Baune B.T., Bellivier F., Bengesser S., Berrettini W.H., Blackwood D.H.R., Boehnke M., Borglum A.D., Breen G., Carr V.J., Catts S., Corvin A., Craddock N., Dannlowski U., Dikeos D., Esko T., Etain B., Ferentinos P., Frye M., Fullerton J.M., Gawlik M., Gershon E.S., Goes F.S., Green M.J., Grigoroiu-Serbanescu M., Hauser J., Henskens F., Hillert J., Hong K.S., Hougaard D.M., Hultman C.M., Hveem K., Iwata N., Jablensky A.V., Jones I., Jones L.A., Kahn R.S., Kelsoe J.R., Kirov G., Landen M., Leboyer M., Lewis C.M., Li Q.S., Lissowska J., Lochner C., Loughland C., Martin N.G., Mathews C.A., Mayoral F., McElroy S.L., McIntosh A.M., McMahon F.J., Melle I., Michie P., Milani L., Mitchell P.B., Morken G., Mors O., Mortensen P.B., Mowry B., Muller-Myhsok B., Myers R.M., Neale B.M., Nievergelt C.M., Nordentoft M., Nothen M.M., O'Donovan M.C., Oedegaard K.J., Olsson T., Owen M.J., Paciga S.A., Pantelis C., Pato C., Pato M.T., Patrinos G.P., Perlis R.H., Posthuma D., Ramos-Quiroga J.A., Reif A., Reininghaus E.Z., Ribases M., Rietschel M., Ripke S., Rouleau G.A., Saito T., Schall U., Schalling M., Schofield P.R., Schulze T.G., Scott L.J., Scott R.J., Serretti A., Shannon Weickert C., Smoller J.W., Stefansson H., Stefansson K., Stordal E., Streit F., Sullivan P.F., Turecki G., Vaaler A.E., Vieta E., Vincent J.B., Waldman I.D., Weickert T.W., Werge T., Wray N.R., Zwart J.-A., Biernacka J.M., Nurnberger J.I., Cichon S., Edenberg H.J., Stahl E.A., McQuillin A., Di Florio A., Ophoff R.A., Andreassen O.A., IMRB - 'Neuropsychiatrie translationnelle' [Créteil] (U955 Inserm - UPEC), 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)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Centre International de Recherche contre le Cancer - International Agency for Research on Cancer (CIRC - IARC), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), and Etain, Bruno

Subjects
Multifactorial Inheritance, Bipolar Disorder, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Medizin, Genome-wide association study, Major Histocompatibility Complex/genetics, Major Histocompatibility Complex, 0302 clinical medicine, Risk Factors, MESH: Risk Factors, MESH: Bipolar Disorder, Chromosomes, Human, Spectrum disorder, Genetics, 0303 health sciences, Bipolar Disorder/genetics, MESH: Genetic Predisposition to Disease, MESH: Case-Control Studies, Phenotype, Schizophrenia, Synaptic signaling, Case-Control Studie, Human, Quantitative Trait Loci, Biology, MESH: Phenotype, MESH: Chromosomes, Human, Article, 03 medical and health sciences, MESH: Major Histocompatibility Complex, SDG 3 - Good Health and Well-being, ddc:570, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, Multifactorial Inheritance/genetics, MESH: Genome, Human, 030304 developmental biology, MESH: Humans, Genome, Human, Risk Factor, Chromosomes, Human/genetics, Mental illness, medicine.disease, MESH: Quantitative Trait Loci, Human genetics, Psychologie, Case-Control Studies, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, MESH: Genome-Wide Association Study, Expression quantitative trait loci, MESH: Multifactorial Inheritance, Quantitative Trait Loci/genetics, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

International audience; Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies.

Published
2021

13. 'Have I argued with my family this week?': What questions do those with lived experience choose to monitor their bipolar disorder?

Author

Julia Savage, Katherine Gordon-Smith, Ian Jones, Nicholas John Craddock, Kate E. A. Saunders, and Lisa Jones

Subjects
Coping (psychology), Bipolar Disorder, BF, Anxiety, Bipolar disorder research, 03 medical and health sciences, 0302 clinical medicine, Rating scale, Surveys and Questionnaires, medicine, Humans, Bipolar disorder, Panic, Middle Aged, medicine.disease, Anxiety Disorders, Mental health, 030227 psychiatry, Affect, Psychiatry and Mental health, Clinical Psychology, Mood, medicine.symptom, Psychology, 030217 neurology & neurosurgery, Clinical psychology
Abstract

Background: Electronic self-report mood monitoring tools for individuals with bipolar disorder (BD) are rapidly emerging and predominately employ predefined symptom-based questions. Allowing individuals to additionally choose what they monitor in relation to their BD offers the unique opportunity to capture and gain a deeper insight into patient priorities in this context. Methods: In addition to monitoring mood symptoms with two standardised self-rated questionnaires, 308 individuals with BD participating in the Bipolar Disorder Research Network True Colours electronic mood-monitoring tool for research chose to create and complete additional personalised questions. A content analysis approach was used to analyse the content of these questions. Results: 35 categories were created based on the personalised questions with the most common being physical activity and exercise, anxiety and panic, sleep and coping/stress levels. The categories were grouped into six overarching themes 1) mental health; 2) behaviour and level of functioning; 3) physical wellbeing; 4) health behaviours; 5) active self-management; and, 6) interpersonal. Limitations: The average age of the sample was around 50 years meaning our findings may not be generalisable to younger individuals with BD. Conclusions: Aspects of BD important to patients in relation to longitudinal monitoring extend well beyond mood symptoms, highlighting the limitations of solely relying on standardised questions/mood rating scales based on symptoms primarily used for diagnosis. Additional symptoms and aspects of life not necessarily useful diagnostically for BD may be more important for individuals themselves to monitor and have more meaning in capturing their own experience of changes in BD severity.

Published
2020

14. Explaining why Childhood Abuse is a Risk Factor for Poorer Clinical Course in Bipolar Disorder: A Path Analysis of 923 People With Bipolar I Disorder

Author

Arianna DiFlorio, Matthew R. Broome, Philip Rankin, Nicholas John Craddock, Ian Jones, Steven Marwaha, Lisa Jones, Paul M. Briley, Amy Perry, and Katherine Gordon-Smith

Subjects
Adult, Male, Bipolar I disorder, Substance-Related Disorders, impulsivity, Suicide, Attempted, Impulsivity, Bipolar disorder research, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, medicine, path analysis, Humans, Affective Symptoms, Bipolar disorder, Path analysis (statistics), Childhood abuse, Applied Psychology, bipolar disorder, business.industry, Adult Survivors of Child Abuse, childhood abuse, Original Articles, Middle Aged, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Logistic Models, Impulsive Behavior, Anxiety, Female, Affective instability, medicine.symptom, Age of onset, business, 030217 neurology & neurosurgery, Clinical psychology
Abstract

BackgroundChildhood abuse is a risk factor for poorer illness course in bipolar disorder, but the reasons why are unclear. Trait-like features such as affective instability and impulsivity could be part of the explanation. We aimed to examine whether childhood abuse was associated with clinical features of bipolar disorder, and whether associations were mediated by affective instability or impulsivity.MethodsWe analysed data from 923 people with bipolar I disorder recruited by the Bipolar Disorder Research Network. Adjusted associations between childhood abuse, affective instability and impulsivity and eight clinical variables were analysed. A path analysis examined the direct and indirect links between childhood abuse and clinical features with affective instability and impulsivity as mediators.ResultsAffective instability significantly mediated the association between childhood abuse and earlier age of onset [effect estimate (θ)/standard error (SE): 2.49], number of depressive (θ/SE: 2.08) and manic episodes/illness year (θ/SE: 1.32), anxiety disorders (θ/SE: 1.98) and rapid cycling (θ/SE: 2.25). Impulsivity significantly mediated the association between childhood abuse and manic episodes/illness year (θ/SE: 1.79), anxiety disorders (θ/SE: 1.59), rapid cycling (θ/SE: 1.809), suicidal behaviour (θ/SE: 2.12) and substance misuse (θ/SE: 3.09). Measures of path analysis fit indicated an excellent fit to the data.ConclusionsAffective instability and impulsivity are likely part of the mechanism of why childhood abuse increases risk of poorer clinical course in bipolar disorder, with each showing some selectivity in pathways. They are potential novel targets for intervention to improve outcome in bipolar disorder.

Published
2020

15. The influence of borderline personality traits on clinical outcomes in bipolar disorder

Author

Lisa Jones, Kate E. A. Saunders, Nicholas John Craddock, Katherine Gordon-Smith, Arianna Di Florio, Amy Perry, Ian Jones, and Tomos Jones

Subjects
Bipolar I disorder, Bipolar Disorder, BF, 03 medical and health sciences, Bipolar II disorder, 0302 clinical medicine, Borderline Personality Disorder, Surveys and Questionnaires, mental disorders, medicine, Humans, Bipolar disorder, Big Five personality traits, Borderline personality disorder, Biological Psychiatry, business.industry, Alcohol dependence, Personality pathology, medicine.disease, 030227 psychiatry, Diagnostic and Statistical Manual of Mental Disorders, Psychiatry and Mental health, sense organs, Age of onset, business, 030217 neurology & neurosurgery, Clinical psychology, Personality
Abstract

Objectives:Systematic reviews suggest comorbid borderline personality disorder is present in approximately 20% of individuals who have bipolar disorder, but current diagnostic systems demonstrate a move towards dimensional rather than categorical approaches to classifying personality pathology. We aimed to examine the presence and severity of borderline personality traits in bipolar I and bipolar II disorder, and to explore associations between the presence/severity of borderline personality traits and clinical outcomes in bipolar disorder. Methods:Borderline personality traits were measured in 1447 individuals with DSM‐IV bipolar disorder (1008 bipolar I disorder and 439 bipolar II disorder) using the Borderline Evaluation of Severity over Time (BEST) questionnaire. Lifetime clinical outcomes were assessed via Schedules for Clinical Assessment in Neuropsychiatry (SCAN) semi‐structured interview and clinical case notes. Results:Borderline personality traits were common in both bipolar disorder groups, with 86.2% participants reporting at least one trait. These included traits that overlap with (eg mood instability) and those that are distinct from the symptoms of bipolar disorder (eg fear of abandonment). Borderline personality traits were significantly more frequent and more severe in bipolar II disorder compared to bipolar I disorder. More severe borderline traits, and even the presence of a single borderline personality trait, were significantly associated with younger age of bipolar disorder onset and higher prevalence of lifetime alcohol misuse in both bipolar disorder groups. Conclusions:The presence of comorbid borderline personality traits should be considered in the management of all patients with bipolar disorder irrespective of whether criteria for a categorical borderline personality disorder diagnosis are met.

Published
2020

16. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Author

Jens Treutlein, James B. Potash, Cheynna A. Crowley, Paul F. O'Reilly, Francis M. Mondimore, Nicholas G. Martin, Jodie N. Painter, Qingqin S. Li, Tõnu Esko, Michael Conlon O'Donovan, Markus M. Nöthen, Toni-Kim Clarke, Roseann E. Peterson, Shantel Weinsheimer, Naomi R. Wray, Marie Bækvad-Hansen, Pamela F.A. Madden, Johannes H. Smit, Gonneke Willemsen, Thomas Hansen, Andrew C. Heath, Carsten Horn, Udo Dannlowski, Fulai Jin, Robert A. Schoevers, Jian Yang, Nicholas Eriksson, Marianne Giørtz Pedersen, Patrik K. E. Magnusson, Hans J. Grabe, Michael Gill, Lili Milani, Caroline Hayward, Shaun Purcell, Stanley I. Shyn, Penelope A. Lind, Giorgio Pistis, Michel G. Nivard, Thorgeir E. Thorgeirsson, Abdel Abdellaoui, Andres Metspalu, David J. Porteous, Anders D. Børglum, Christine Søholm Hansen, Scott D. Gordon, Nicholas John Craddock, Susanne Lucae, Douglas Blackwood, Jürgen Wellmann, Till M.F. Andlauer, Wesley K. Thompson, Chao Tian, Rudolf Uher, Nese Direk, Yuri Milaneschi, Paola Giusti-Rodríguez, Rick Jansen, Marcus Ising, Yang Wu, Jesper Krogh, Merete Nordentoft, Jouke-Jan Hottenga, Robert Maier, Ming Hu, Kari Stefansson, Glyn Lewis, Peter McGuffin, Wolfgang Maier, Erin C. Dunn, Bradley T. Webb, Gerome Breen, Henning Teismann, Eric Jorgenson, Jorge A. Quiroz, Brenda W.J.H. Penninx, Jonas Bybjerg-Grauholm, Warren W. Kretzschmar, Dean F. MacKinnon, Craig A. Stockmeier, Wouter J. Peyrot, Enrico Domenici, E. C.J. De Geus, Alexander Teumer, Henry Völzke, Yihan Li, Michael John Owen, Manuel Mattheisen, Bernard Ng, Baptiste Couvy-Duchesne, Daniel J. Smith, Jana Strohmaier, Vassily Trubetskoy, Volker Arolt, Douglas F. Levinson, Futao Zhang, Daniel Umbricht, Aartjan F.T. Beekman, David A. Hinds, Bernhard T. Baune, Henning Tiemeier, Hualin S. Xi, Hamdi Mbarek, Steven P. Hamilton, Stefan Kloiber, Fernando S. Goes, Jianxin Shi, Marcella Rietschel, Dale R. Nyholt, Zoltán Kutalik, Niamh Mullins, Grant W. Montgomery, Henriette N. Buttenschøn, Georg Homuth, Katharina Domschke, Alexander Viktorin, Hilary K. Finucane, Ashley R. Winslow, Saira Saeed Mirza, Fabian Streit, Erik Pettersson, Martin Preisig, Danielle Posthuma, Stephan Ripke, Lucía Colodro-Conde, Thalia C. Eley, Pippa A. Thomson, Thomas Werge, Enrique Castelao, Klaus Berger, Yun Li, Stacy Steinberg, Dorret I. Boomsma, Matthias Nauck, Sara Mostafavi, Jacqueline M. Lane, Katherine E. Tansey, Divya Mehta, Gregory E. Crawford, Andreas J. Forstner, Jane H. Christensen, Silviu Alin Bacanu, Julia Kraft, David M. Hougaard, Peter M. Visscher, Valentina Escott-Price, Donald J. MacIntyre, Sarah E. Medland, Per Qvist, Kenneth S. Kendler, Jordan W. Smoller, J. Raymond DePaulo, Ian J. Deary, Thomas G. Schulze, Julien Bryois, Ian B. Hickie, Helena Gaspar, Jonathan Mill, James A. Knowles, Cathryn M. Lewis, Hassan S. Dashti, Stefan Herms, Margarita Rivera, John P. Rice, Lynsey S. Hall, Eilis Hannon, Nancy L. Pedersen, Eva C. Schulte, Hreinn Stefansson, Maciej Trzaskowski, André G. Uitterlinden, Bertram Müller-Myhsok, Gail Davies, Mark Adams, Jakob Grove, Eske M. Derks, Sven Cichon, Jonathan I.R. Coleman, Sandra Van der Auwera, Myrna M. Weissman, Preben Bo Mortensen, Josef Frank, Enda M. Byrne, Esben Agerbo, Engilbert Sigurdsson, Xiaoxiao Liu, Patrick F. Sullivan, Carsten Bøcker Pedersen, Ole Mors, Catherine Schaefer, Richa Saxena, Albert M. van Hemert, Jonathan Marchini, Hogni Oskarsson, Franziska Degenhardt, Tracy Air, Elisabeth B. Binder, Christel M. Middeldorp, Farnush Hassan Farhadi Kiadeh, Conor V. Dolan, Sara A. Paciga, Per Hoffmann, Leina Lu, Andrew M. McIntosh, Tim B. Bigdeli, Stephanie H. Witt, Matthew Traylor, Grant Sinnamon, Brien P. Riley, Roy H. Perlis, Patrick J. McGrath, Craig L. Hyde, Ling Shen, Na Cai, Yunpeng Wang, Evelin Mihailov, Isaac S. Kohane, APH - Mental Health, Adult Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, APH - Methodology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Integrative Neurophysiology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, Amsterdam Reproduction & Development (AR&D), Human genetics, Epidemiology and Data Science, APH - Digital Health, Epidemiology, Child and Adolescent Psychiatry / Psychology, Internal Medicine, eQTLGen, 23andMe, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), and Clinical Cognitive Neuropsychiatry Research Program (CCNP)

Subjects
0301 basic medicine, Male, Netherlands Twin Register (NTR), Multifactorial Inheritance, Schizophrenia/genetics, LD SCORE REGRESSION, LOCI, Genome-wide association study, Bioinformatics, 0302 clinical medicine, Risk Factors, POLYGENIC RISK, Depression (differential diagnoses), 3. Good health, Phenotype, Schizophrenia, Meta-analysis, MENDELIAN RANDOMIZATION, Genome-Wide Association Study/methods, Major depressive disorder, Female, Depressive Disorder, Major/genetics, EUROPE 2010, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, ddc:570, MENTAL-DISORDERS, Mendelian randomization, SYSTEMATIC ANALYSIS, Genetics, medicine, Journal Article, Humans, Genetic Predisposition to Disease, METAANALYSIS, EDUCATIONAL-ATTAINMENT, Depressive Disorder, Major, Case-control study, Case-Control Studies, medicine.disease, Genetic architecture, BODY-MASS INDEX, 030104 developmental biology, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened\ud risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified\ud 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and\ud implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved\ud in gene splicing were enriched for smaller association signal. We found important relationships of genetic risk for major depression\ud with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were\ud putatively causal, whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry\ud lesser or greater numbers of genetic risk factors for major depression. These findings help refine the basis of major depression\ud and imply that a continuous measure of risk underlies the clinical phenotype.

Published
2018

17. Mania triggered by sleep loss and risk of postpartum psychosis in women with bipolar disorder

Author

Amy Perry, Katie Lewis, Liz Forty, Ian Jones, Arianna Di Florio, Katherine Gordon-Smith, Nicholas John Craddock, and Lisa Jones

Subjects
Adult, Psychosis, medicine.medical_specialty, Bipolar Disorder, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, Recall bias, medicine, Humans, Bipolar disorder, Psychiatry, Depression (differential diagnoses), Postpartum Period, Parturition, Puerperal Disorders, Precipitating Factors, medicine.disease, 030227 psychiatry, Pregnancy Complications, Affect, Psychiatry and Mental health, Clinical Psychology, Cross-Sectional Studies, Mood, Female, Postpartum psychosis, medicine.symptom, Psychology, Mania, 030217 neurology & neurosurgery, Postpartum period
Abstract

Background Women with bipolar disorder are at high risk of affective psychoses following childbirth (i.e. “postpartum psychosis”, PP) and there is a need to identify which factors underlie this increased risk. Vulnerability to mood dysregulation following sleep loss may influence risk of PP, as childbirth is typified by sleep disruption. We investigated whether a history of mood episodes triggered by sleep loss was associated with PP in women with bipolar disorder (BD). Methods Participants were 870 parous women with BD recruited to the Bipolar Disorder Research Network. Lifetime diagnoses of BD and perinatal episodes were identified via interview and case notes. Information on whether mood episodes had been triggered by sleep loss was derived at interview. Rates of PP were compared between women who did and did not report mood episodes following sleep loss. Results Women who reported sleep loss triggering episodes of mania were twice as likely to have experienced an episode of PP (OR = 2.09, 95% CI = 1.47–2.97, p < 0.001) compared to women who did not report this. There was no significant association between depression triggered by sleep loss and PP (p = 0.526). Limitations Data were cross-sectional therefore may be subject to recall bias. We also did not have objective data on sleep disruption that had occurred during the postpartum period or prior to mood episodes. Conclusions In clinical practice, a history of mania following sleep loss could be a marker of increased vulnerability to PP, and should be discussed with BD women who are pregnant or planning to conceive.

Published
2018

18. Interaction between childhood maltreatment on immunogenetic risk in depression: Discovery and replication in clinical case-control samples

Author

Ania Korszun, Konstantinos Douroudis, Helen L. Fisher, Georgina M. Hosang, David Stacey, Diana Ahmetspahic, Peter McGuffin, Udo Dannlowski, Nicholas John Craddock, Ian W. Craig, Cathryn M. Lewis, Anne Farmer, Bernard T. Baune, Michael John Owen, Rudolf Uher, Gerome Breen, Sarah Cohen-Woods, and Volker Arolt

Subjects
Adult, Male, Oncology, medicine.medical_specialty, Genotype, Immunology, Poison control, Single-nucleotide polymorphism, Genome-wide association study, Polymorphism, Single Nucleotide, 03 medical and health sciences, Behavioral Neuroscience, 0302 clinical medicine, Risk Factors, Polymorphism (computer science), Internal medicine, medicine, Humans, Depression (differential diagnoses), Inflammation, Depressive Disorder, Major, IL-6, Depression, Interleukin-6, Endocrine and Autonomic Systems, business.industry, Adult Survivors of Child Abuse, Immunity, Case-control study, Middle Aged, medicine.disease, Gene-environment interaction, 030227 psychiatry, C-Reactive Protein, Case-Control Studies, Cohort, Major depressive disorder, Female, Gene-Environment Interaction, Inflammation Mediators, CRP, business, 030217 neurology & neurosurgery
Abstract

Major depressive disorder (MDD) is a prevalent disorder with moderate heritability. Both MDD and interpersonal adversity, including childhood maltreatment, have been consistently associated with elevated inflammatory markers. We investigated interaction between exposure to childhood maltreatment and extensive genetic variation within the inflammation pathway (CRP, IL1b, IL-6, IL11, TNF, TNFR1, and TNFR2) in relation to depression diagnosis. The discovery RADIANT sample included 262 cases with recurrent DSM-IV/ICD-10 MDD, and 288 unaffected controls. The replication Münster cohort included 277 cases with DSM-IV MDD, and 316 unaffected controls. We identified twenty-five single nucleotide polymorphisms (SNPs) following multiple testing correction that interacted with childhood maltreatment to predict depression in the discovery cohort. Seven SNPs representing independent signals (rs1818879, rs1041981, rs4149576, rs616645, rs17882988, rs1061622, and rs3093077) were taken forward for replication. Meta-analyses of the two samples presented evidence for interaction with rs1818879 (IL6) (RD=0.059, SE=0.016, p < 0.001), with the replication Münster sample approaching statistical significance in analyses restricted to recurrent MDD and controls following correction for multiple testing (q=0.066). The CRP locus (rs3093077) showed a similar level of evidence for interaction in the meta-analysis (RD=0.092, SE=0.029, p=0.002), but less compelling evidence in the replication sample alone (recurrent MDD q=0.198; all MDD q=0.126). Here we present evidence suggestive of interaction with childhood maltreatment for novel loci in IL-6 (rs1818879) and CRP (rs3093077), increasing risk of depression. Replication is needed by independent groups, targeting these specific variants and interaction with childhood maltreatment on depression risk.

Published
2018

19. Genome-wide significant locus for Research Diagnostic Criteria Schizoaffective Disorder Bipolar type

Author

Christine Fraser, Arianna Di Florio, Ian Jones, Michael Conlon O'Donovan, Lisa Jones, Liz Forty, Katherine Gordon-Smith, Nicholas John Craddock, Michael John Owen, George Kirov, Pamela Sklar, Alexander Richards, Shaun Purcell, Detelina Grozeva, Elaine K. Green, and Jennifer L. Moran

Subjects
Genetic Markers, 0301 basic medicine, Bipolar Disorder, Research Diagnostic Criteria, Schizoaffective disorder, Single-nucleotide polymorphism, Locus (genetics), Biology, Polymorphism, Single Nucleotide, Genome, 03 medical and health sciences, Cellular and Molecular Neuroscience, Meta-Analysis as Topic, medicine, Humans, SNP, Genetic Predisposition to Disease, Bipolar disorder, Gene, Genetics (clinical), Genetics, medicine.disease, R1, 3. Good health, Psychiatry and Mental health, 030104 developmental biology, Case-Control Studies, Schizophrenia, Genome-Wide Association Study
Abstract

Studies have suggested that Research Diagnostic Criteria for Schizoaffective disorder Bipolar type (RDC-SABP) might identify a more genetically homogenous subgroup of bipolar disorder. Aiming to identify loci associated with RDC-SABP we have performed a replication study using independent RDC-SABP cases (n=144) and controls (n=6,559), focusing on the 10 loci that P-value

Published
2017

20. Interaction between the FTO gene, body mass index and depression

Author

Bertram Müller-Myhsok, Adam E. Locke, F. Tozzi, Martin Preisig, Gérard Waeber, James Rucker, Marcella Rietschel, Yuri Milaneschi, Susanne Lucae, Cathryn M. Lewis, Katherine J. Aitchison, Ana Ching-López, Sara Cohen-Woods, Ian W. Craig, Anne Farmer, Ole Mors, Gonneke Willemsen, Michael Gill, Peter Vollenweider, Gerome Breen, Michael John Owen, Stefan Kloiber, Peter McGuffin, Brenda W.J.H. Penninx, Zoltán Kutalik, Dorret I. Boomsma, Rudolf Uher, Tanguy Corre, Nicholas John Craddock, Florian Holsboer, Sven Bergmann, Wolfgang Maier, Margarita Rivera, John P. Rice, Jouke-Jan Hottenga, Darina Czamara, Christiane Wolf, Ania Korszun, Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, and APH - Digital Health

Subjects
0301 basic medicine, Gerontology, Oncology, Netherlands Twin Register (NTR), medicine.medical_specialty, Population, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Genome-wide association study, Comorbidity, Review, FTO gene, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Journal Article, Humans, Genetic Predisposition to Disease, Obesity, education, Depression (differential diagnoses), Alleles, 2. Zero hunger, education.field_of_study, Depressive Disorder, Major, Polymorphism, Genetic, Case-control study, nutritional and metabolic diseases, medicine.disease, Random effects model, Psychiatry and Mental health, 030104 developmental biology, Case-Control Studies, Psychology, Body mass index, 030217 neurology & neurosurgery
Abstract

BackgroundDepression and obesity are highly prevalent, and major impacts on public health frequently co-occur. Recently, we reported that having depression moderates the effect of the FTO gene, suggesting its implication in the association between depression and obesity.AimsTo confirm these findings by investigating the FTO polymorphism rs9939609 in new cohorts, and subsequently in a meta-analysis.MethodThe sample consists of 6902 individuals with depression and 6799 controls from three replication cohorts and two original discovery cohorts. Linear regression models were performed to test for association between rs9939609 and body mass index (BMI), and for the interaction between rs9939609 and depression status for an effect on BMI. Fixed and random effects meta-analyses were performed using METASOFT.ResultsIn the replication cohorts, we observed a significant interaction between FTO, BMI and depression with fixed effects meta-analysis (β=0.12, P = 2.7 × 10−4) and with the Han/Eskin random effects method (P = 1.4 × 10−7) but not with traditional random effects (β = 0.1, P = 0.35). When combined with the discovery cohorts, random effects meta-analysis also supports the interaction (β = 0.12, P = 0.027) being highly significant based on the Han/Eskin model (P = 6.9 × 10−8). On average, carriers of the risk allele who have depression have a 2.2% higher BMI for each risk allele, over and above the main effect of FTO.ConclusionsThis meta-analysis provides additional support for a significant interaction between FTO, depression and BMI, indicating that depression increases the effect of FTO on BMI. The findings provide a useful starting point in understanding the biological mechanism involved in the association between obesity and depression.

Published
2017

21. P017 Differences in genetic risk for insomnia, hypersomnia and chronotype in bipolar disorder subtypes

Author

Michael N. Weedon, Samuel E. Jones, Arianna Di Florio, Hannah J. Jones, Michael John Owen, Michael Conlon O'Donovan, Valentina Escott-Price, Ian Jones, Mikael Landén, Alexander Richards, Ganna Leonenko, Liz Forty, Robert Karlsson, Nicholas John Craddock, Katherine Gordon-Smith, Lisa Jones, and Katie Js Lewis

Subjects
medicine.medical_specialty, Evening, business.industry, Chronotype, medicine.disease, Internal medicine, Relative risk, mental disorders, Insomnia, Medicine, Bipolar disorder, Psychiatric interview, Allele, medicine.symptom, business, Genetic association
Abstract

Introduction Insomnia, hypersomnia and evening chronotype are common in bipolar disorder (BD) but research examining the role of genetics is mixed. Stratifying by bipolar subtypes could elucidate this relationship and inform sleep and BD research. Aim: to determine whether genetic liability to insomnia, hypersomnia and chronotype differ between bipolar subtypes (type 1, BD-I or type 2, BD-II). Method Case-control study of 4672 participants with BD (67% female, 3404 BD-I, 1268 BD-II) enrolled in the Bipolar Disorder Research Network and 5714 controls (49% female) recruited from the 1958 British Birth Cohort and UK Blood Service. All participants were of European ancestry. BD subtypes were determined by semi-structured psychiatric interview and case notes. Genetic liability to sleep traits was assessed using genetic risk scores (GRS), which were derived using alleles from genome-wide association studies of insomnia, sleep duration, daytime sleepiness and chronotype. Analyses used multinomial regression to determine whether GRS for insomnia, hypersomnia (daytime sleepiness or sleep duration) and chronotype were associated with BD-I or BD-II when compared to controls. Results Insomnia GRS were associated with increased risk of BD-II (RR=1.14, 95% CI=1.07–1.21, P=8.26 × 10–5) but not BD-I (RR=0.98, 95% CI=0.94–1.03, P=0.409) relative to controls. Sleep duration GRS were associated with increased relative risk of BD-I (RR=1.10, 95% CI=1.06–1.15, P=1.13 × 10–5), but not BD-II (RR=0.99, 95% CI=0.93–1.06, P=0.818). Daytime sleepiness and chronotype GRS did not distinguish bipolar subtypes. Discussion Bipolar subtypes differ in genetic liability to insomnia and sleep duration, providing further evidence that bipolar subtypes should be considered separately in research on sleep in BD. The distinct findings for sleep duration and daytime sleepiness support existing literature suggesting that these are distinct subtypes of hypersomnia.

Published
2019

22. Agitated depression in bipolar disorder

Author

Francesca Serra, Katherine Gordon-Smith, Lisa Jones, Ian Jones, Christine Fraser, Amy Perry, Arianna Di Florio, and Nicholas John Craddock

Subjects
Adult, Male, medicine.medical_specialty, Bipolar Disorder, BF, Suicide, Attempted, Comorbidity, Anxiety, Bipolar disorder research, Diagnosis, Differential, 03 medical and health sciences, 0302 clinical medicine, mental disorders, Prevalence, medicine, Humans, Bipolar disorder, Psychiatry, Suicidal ideation, Psychomotor Agitation, Biological Psychiatry, Depression (differential diagnoses), Suicide attempt, Depression, business.industry, Panic disorder, medicine.disease, R1, Decreased Libido, 030227 psychiatry, Diagnostic and Statistical Manual of Mental Disorders, Psychiatry and Mental health, Female, medicine.symptom, business, Mania, 030217 neurology & neurosurgery
Abstract

Objectives\ud \ud It has been suggested that agitated depression (AD) is a common, severe feature in bipolar disorder. We aimed to estimate the prevalence of AD and investigate whether presence of AD was associated with episodic and lifetime clinical features in a large well‐characterized bipolar disorder sample.\ud \ud \ud Method\ud \ud The prevalence of agitation, based on semi‐structured interview and medical case‐notes, in the most severe depressive episode was estimated in 2925 individuals with DSM‐IV bipolar disorder recruited into the UK Bipolar Disorder Research Network. Predictors of agitation were ascertained using symptoms within the same episode and lifetime clinical features using multivariate models.\ud \ud \ud Results\ud \ud 32.3% (n = 946) experienced agitation during the worst depressive episode. Within the same episode, significant predictors of presence of agitation were: insomnia (OR 2.119, P < 0.001), poor concentration (OR 1.966, P = 0.027), decreased libido (OR 1.960, P < 0.001), suicidal ideation (OR 1.861, P < 0.001), slowed activity (OR 1.504, P = 0.001), and poor appetite (OR 1.297, P = 0.029). Over the lifetime illness course, co‐morbid panic disorder (OR 2.000, P < 0.001), suicide attempt (OR 1.399, P = 0.007), and dysphoric mania (OR 1.354, P = 0.017) were significantly associated with AD. \ud \ud \ud Conclusions\ud \ud Agitation accompanied bipolar depression in at least one‐third of cases in our sample and was associated with concurrent somatic depressive symptoms, which are also common features of mixed manic states. Furthermore, AD in our sample was associated with lifetime experience of mixed mania, in addition to severe lifetime illness course including comorbid panic disorder and suicidal behavior. Our results have implications for the diagnosis and treatment of agitated features in bipolar depression.

Published
2019

23. Postpartum psychosis in bipolar disorder: no evidence of association with personality traits, cognitive style or affective temperaments

Author

Lisa Jones, A. Di Florio, Katherine Gordon-Smith, Amy Perry, I. Webb, Ian Jones, E. Fone, and Nicholas John Craddock

Subjects
Adult, Bipolar I disorder, Bipolar Disorder, Personality Inventory, lcsh:RC435-571, Schizotypy, media_common.quotation_subject, BF, Impulsivity, Postpartum psychosis, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Cognition, Pregnancy, Risk Factors, lcsh:Psychiatry, mental disorders, medicine, Humans, Bipolar disorder, Temperament, media_common, Aged, Cognitive style, Mood Disorders, Postpartum Period, Middle Aged, medicine.disease, Neuroticism, 030227 psychiatry, Diagnostic and Statistical Manual of Mental Disorders, Psychiatry and Mental health, Mood, Psychotic Disorders, RC0321, Female, medicine.symptom, Psychology, 030217 neurology & neurosurgery, Clinical psychology, RC, Personality, Research Article
Abstract

BackgroundBipolar disorder has been associated with several personality traits, cognitive styles and affective temperaments. Women who have bipolar disorder are at increased risk of experiencing postpartum psychosis, however little research has investigated these traits and temperaments in relation to postpartum psychosis. The aim of this study is to establish whether aspects of personality, cognitive style and affective temperament that have been associated with bipolar disorder also confer vulnerability to postpartum psychosis over and above their known association with bipolar disorder.MethodsPersonality traits (neuroticism, extraversion, schizotypy and impulsivity), cognitive styles (low self-esteem and dysfunctional attitudes) and affective temperaments (including cyclothymic and depressive temperaments) were compared between two groups of parous women with DSM-IV bipolar I disorder: i) 284 with a lifetime history of postpartum psychosis within 6 weeks of delivery (PP group), ii) 268 without any history of mood episodes with onset during pregnancy or within 6 months of delivery (no perinatal mood episode, No PME group).ResultsAfter controlling for current mood state, and key demographic, clinical and pregnancy-related variables, there were no statistically significant differences between the PP and No PME groups on any of the personality, cognitive style or affective temperament measures.ConclusionsPersonality traits, cognitive styles and affective temperaments previously shown to be associated with bipolar disorder in general were not specifically associated with the occurrence of postpartum psychosis. These factors may not be relevant for predicting risk of postpartum psychosis in women with bipolar disorder.

Published
2019

24. Polygenic risk for circulating reproductive hormone levels and their influence on hippocampal volume and depression susceptibility

Author

Ole Mors, Danai Dima, Demelza Smeeth, Ania Korszun, Cathryn M. Lewis, Sandrine Thuret, John P. Rice, Michael John Owen, Lisa Jones, Timothy R. Powell, Wolfgang Maier, Nicholas John Craddock, Martin Preisig, Ian Jones, Rudolf Uher, and Marcella Rietschel

Subjects
Male, Postpartum depression, Multifactorial Inheritance, Endocrinology, Diabetes and Metabolism, Physiology, Hippocampal formation, Hippocampus, 0302 clinical medicine, Endocrinology, Medicine, Major depression, Testosterone, Progesterone, Depression (differential diagnoses), Estradiol, Depression, Brain, Organ Size, Middle Aged, Magnetic Resonance Imaging, Temporal Lobe, 3. Good health, Psychiatry and Mental health, Major depressive disorder, Female, Disease Susceptibility, Gonadal Hormones, Adult, Neurogenesis, BF, Reproductive hormones, Article, Depression, Postpartum, 03 medical and health sciences, Humans, Genetic Predisposition to Disease, Biological Psychiatry, Depressive Disorder, Major, Endocrine and Autonomic Systems, business.industry, Dentate gyrus, medicine.disease, Hippocampal volume, Prolactin, 030227 psychiatry, Polygenic risk scores, Case-Control Studies, Dentate Gyrus, RC0321, business, 030217 neurology & neurosurgery, Genome-Wide Association Study, Hormone
Abstract

Highlights • Hippocampal volume and depression risk have been linked to reproductive hormones. • We generated polygenic risk scores (PRS) for four reproductive hormones. • PRS for higher estradiol predicted smaller hippocampal subfield volumes. • None of the PRSs predicted postpartum or major depression risk., Altered reproductive hormone levels have been associated with the pathophysiology of depressive disorders and this risk may be imparted by their modulatory effect upon hippocampal structure and function. Currently it is unclear whether altered levels of reproductive hormones are causally associated with hippocampal volume reductions and the risk of depressive disorders. Here, we utilize genome-wide association study (GWAS) summary statistics from a GWAS focusing on reproductive hormones, consisting of 2913 individuals. Using this data, we generated polygenic risk scores (PRS) for estradiol, progesterone, prolactin and testosterone in the European RADIANT cohort consisting of 176 postpartum depression (PPD) cases (100% female, mean age: 41.6 years old), 2772 major depressive disorder (MDD) cases (68.6% female, mean age: 46.9 years old) and 1588 control participants (62.5% female, mean age: 42.4 years old), for which there was also a neuroimaging subset of 111 individuals (60.4% female, mean age: 50.0 years old). Only the best-fit PRS for estradiol showed a significant negative association with hippocampal volume, as well as many of its individual subfields; including the molecular layer and granule cell layer of the dentate gyrus, subiculum, CA1, CA2/3 and CA4 regions. Interestingly, several of these subfields are implicated in adult hippocampal neurogenesis. When we tested the same estradiol PRS for association with case-control status for PPD or MDD there was no significant relationship observed. Here, we provide evidence that genetic risk for higher plasma estradiol is negatively associated with hippocampal volume, but this does not translate into an increased risk of MDD or PPD. This work suggests that the relationship between reproductive hormones, the hippocampus, and depression is complex, and that there may not be a clear-cut pathway for etiology or risk moderation.

Published
2019

25. Adverse childhood experiences and postpartum depression in bipolar disorder

Author

Amy Perry, Ian Jones, Nicholas John Craddock, Christine Fraser, Arianna Di Florio, Lisa Jones, and Katherine Gordon-Smith

Subjects
Postpartum depression, Pediatrics, medicine.medical_specialty, Bipolar Disorder, BF, Depression, Postpartum, 03 medical and health sciences, 0302 clinical medicine, Adverse Childhood Experiences, Pregnancy, Recall bias, medicine, Childbirth, Humans, Bipolar disorder, Child, Univariate analysis, business.industry, Postpartum Period, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Clinical Psychology, Mood, Psychotic Disorders, RC0321, Female, Postpartum psychosis, business, 030217 neurology & neurosurgery, Psychopathology
Abstract

Women are particularly vulnerable to recurrence of bipolar disorder (BD) following childbirth. Risk of postpartum psychosis (PP) is especially high, but postpartum depression (PPD) is also common. Adverse childhood experiences (ACEs) have not been associated with PP, but have been associated with PPD in non-bipolar samples. The relationship between ACEs and PPD within BD remains to be investigated. Here, we examined this association in a large, well-defined sample of women with BD.Participants were 575 parous women with DSM-IV BD. Lifetime psychopathology, including perinatal, was assessed via semi-structured interview and case-notes. ACEs, assessed via self-report and case-notes, were compared between women with lifetime PPD (n = 368) and those without a lifetime history of perinatal mood episodes (n = 207).In univariate analysis exposure to 3 or more ACEs, and to childhood abuse specifically, was significantly associated with PPD (p = 0.026 and 0.041 respectively), but this did not remain significant after adjusting for lifetime number of episodes of depression and parity. Post-hoc analysis revealed more frequent episodes of depression to be associated with both a history of 3 or more ACEs and of childhood abuse.Limited range of ACEs assessed and potential recall bias.Increased frequency of ACEs and particularly childhood abuse was associated with more frequent lifetime episodes of depression, but not specifically episodes with postpartum onset. Understanding factors that mediate the pathway between ACEs and PPD in BD has implications for risk prediction of PPD.

Published
2019

26. Symptom profile of postpartum and non-postpartum manic episodes in bipolar I disorder: a within-subjects study

Author

Katherine Gordon-Smith, Christine Fraser, Amy Perry, Ian Jones, Nicholas John Craddock, Liz Forty, Tracey MacDonald, Naomi Warne, Marisa Casanova Dias, Lisa Jones, and Arianna Di Florio

Subjects
Adult, medicine.medical_specialty, Treatment response, Bipolar I disorder, Bipolar Disorder, Bipolar disorder, Within person, BF, Increased sociability, behavioral disciplines and activities, Severity of Illness Index, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, mental disorders, medicine, Childbirth, Humans, Symptomatology, Psychiatry, reproductive and urinary physiology, Biological Psychiatry, business.industry, Depression, Incidence (epidemiology), Postpartum Period, Parturition, medicine.disease, 030227 psychiatry, Diagnostic and Statistical Manual of Mental Disorders, Pregnancy Complications, Psychiatry and Mental health, RC0321, behavior and behavior mechanisms, Postpartum mania, Female, medicine.symptom, Symptom Assessment, business, Mania, 030217 neurology & neurosurgery, RC
Abstract

The relationship of postpartum mania to episodes of mania occurring outside the perinatal period among women with bipolar disorder remains controversial. Previous studies have used between-subjects designs to compare the clinical presentations of these episodes meaning the differences, in part, may reflect between-group differences. To overcome this we have undertaken within-subject comparisons of the symptom profile of postpartum and non-postpartum manic episodes in 50 women with DSM-IV bipolar I disorder. For each woman detailed symptom information on a postpartum episode of mania and a comparison non-postpartum manic episode was collected. The occurrence of manic, psychotic and depressive symptoms in these episodes were compared. Postpartum manic episodes had a significantly higher incidence of perplexity and excessive self-reproach. Classic manic symptoms, specifically pressured speech and increased sociability, were significantly less frequent in postpartum manic episodes. Overall there were significantly fewer manic symptoms and significantly more depressive symptoms in the postpartum episodes than in the non-postpartum episodes. The mixed presentation of postpartum manic episodes suggests childbirth may act as a pathoplastic trigger in women with bipolar disorder. The differences in symptom profiles suggests further research is warranted into whether differences in treatment response exist among women experiencing postpartum and non-postpartum manic episodes.

Published
2019

27. Genome-wide Burden of Rare Short Deletions is Enriched in Major Depressive Disorder in Four Cohorts

Author

Cathryn M. Lewis, James Rucker, Jouke-Jan Hottenga, Johannes H. Smit, Peter McGuffin, Ole Mors, Eco J. C. de Geus, Martin Preisig, Myrna M. Weissman, Gerome Breen, A. Abdellaoui, Alan R. Sanders, James A. Knowles, Dorret I. Boomsma, Xianglong Zhang, Brenda W.J.H. Penninx, Pablo V. Gejman, Carlos N. Pato, Nicholas John Craddock, Jianxin Shi, Simone de Jong, Rudolf Uher, James B. Potash, Michael John Owen, Marcella Rietschel, Janet L. Sobell, Douglas F. Levinson, Lisa Jones, Margarita Rivera, John P. Rice, Henriette N. Buttenschøn, Ian Jones, Michele T. Pato, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Psychiatry, and APH - Digital Health

Subjects
Netherlands Twin Register (NTR), 0301 basic medicine, Male, Genome-wide association study, DNA Copy Number Variations, Genotype, Major depressive disorder, Biology, Polymorphism, Single Nucleotide, Article, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, mental disorders, medicine, Genetics, Humans, Genetic Predisposition to Disease, Copy-number variation, Biological Psychiatry, Genetic association, Sequence Deletion, Depressive Disorder, Major, Genome-wide association study (GWAS), Copy number variation, medicine.disease, Confidence interval, 3. Good health, Depressive Disorder, Major/genetics, Female, Genome-Wide Association Study, Meta-analysis, Neuroscience, 030104 developmental biology, Schizophrenia, RC0321, Autism, 030217 neurology & neurosurgery
Abstract

BACKGROUND: Major depressive disorder (MDD) is moderately heritable, with a high prevalence and a presumed high heterogeneity. Copy number variants (CNVs) could contribute to the heritable component of risk, but the two previous genome-wide association studies of rare CNVs did not report significant findings. METHODS: In this meta-analysis of four cohorts (5780 patients and 6626 control subjects), we analyzed the association of MDD to 1) genome-wide burden of rare deletions and duplications, partitioned by length (,100 kb or .100 kb) and other characteristics, and 2) individual rare exonic CNVs and CNV regions. RESULTS: Patients with MDD carried significantly more short deletions than control subjects (p = .0059) but not long deletions or short or long duplications. The confidence interval for long deletions overlapped with that for short deletions, but long deletions were 70% less frequent genome-wide, reducing the power to detect increased burden. The increased burden of short deletions was primarily in intergenic regions. Short deletions in cases were also modestly enriched for high-confidence enhancer regions. No individual CNV achieved thresholds for suggestive or significant association after genome-wide correction. p values , .01 were observed for 15q11.2 duplications (TUBGCP5, CYFIP1, NIPA1, and NIPA2), deletions in or near PRKN or MSR1, and exonic duplications of ATG5. CONCLUSIONS: The increased burden of short deletions in patients with MDD suggests that rare CNVs increase the risk of MDD by disrupting regulatory regions. Results for longer deletions were less clear, but no large effects were observed for long multigenic CNVs (as seen in schizophrenia and autism). Further studies with larger sample sizes are warranted., This work was supported by a joint grant from the United Kingdom Medical Research Council and GlaxoSmithKline (Grant No. G0701420) and the National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health at South London and Maudsley National Health Service (NHS) Foundation Trust and Institute of Psychiatry, King’s College London. This work presents independent research in part funded by the NIHR. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. This work was also supported by the Wellcome Trust Grant No. 086635 (JJHR); NIHR Specialist Biomedical Research Centre for Mental Health at the South London and Maudsley NHS Foundation Trust and the Institute of Psychiatry, King’s College London (SC-W); a Marie Curie Intra-European Fellowship within the 7th European Community Framework Programme; European Commission Grant Agreement No. 115008); and Canada Research Chairs program

Published
2019

28. Differences in Genetic Liability for Insomnia and Hypersomnia in Bipolar Disorder Subtypes

Author

Ian Jones, Arianna Di Florio, Michael N. Weedon, Alexander Richards, Nicholas John Craddock, Ganna Leonenko, Katherine Gordon-Smith, Michael Conlon O'Donovan, Hannah J. Jones, Lisa Jones, Michael John Owen, Valentina Escott-Price, Liz Forty, Samuel E. Jones, and Katie Lewis

Subjects
Sleep disorder, medicine.medical_specialty, Bipolar I disorder, business.industry, medicine.disease, Neuropsychiatry, 030227 psychiatry, 3. Good health, 03 medical and health sciences, Bipolar II disorder, 0302 clinical medicine, Internal medicine, Relative risk, medicine, Insomnia, Bipolar disorder, Psychiatric interview, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract

BackgroundInsomnia and hypersomnia are common in bipolar disorder (BD) but it is unclear whether genetic factors influence this association. Stratifying by bipolar subtypes could elucidate the nature of this association and inform research on sleep and BD. We therefore aimed to determine whether polygenic risk scores (PRS) for insomnia, daytime sleepiness and sleep duration differ according to bipolar subtypes (bipolar I disorder, BD-I or bipolar II disorder, BD-II).MethodsIn this case-control study, we used multinomial regression to determine whether PRS for insomnia, daytime sleepiness, and sleep duration were associated with risk of BD-I or BD-II when compared to each other and to controls. Cases (n=4672) were recruited within the United Kingdom from the Bipolar Disorder Research Network. Controls (n=5714) were recruited from the 1958 British Birth Cohort and UK Blood Service. All participants were of European ancestry. Clinical subtypes of BD were determined by semi-structured psychiatric interview (the Schedules for Clinical Assessment in Neuropsychiatry) and case notes.ResultsWithin cases, 3404 and 1268 met DSM-IV criteria for BD-I and BD-II, respectively. Insomnia PRS was associated with increased risk of BD-II (RR = 1.14, 95% CI = 1.07-1.21,P= 8.26 × 10−5) but not BD-I (RR = 0.98, 95% CI = 0.94-1.03,P= .409) relative to controls. In contrast, sleep duration PRS was associated with increased relative risk of BD-I (RR = 1.10, 95% CI = 1.06-1.15,P= 1.13 × 10−5), but not BD-II (RR = 0.99, 95% CI = 0.93-1.06,P= .818). Daytime sleepiness PRS was associated with an increased risk of BD-I (RR = 1.07, 95% CI = 1.02-1.11,P= .005) and BD-II (RR = 1.14, 95% CI = 1.07-1.22,P= 3.22 × 10−5) compared to controls, but did not distinguish subtypes from each other.ConclusionsBipolar subtypes differ in genetic liability to insomnia and sleep duration. Our findings provide further evidence that the distinction between BD-I and BD-II has biological and genetic validity. This distinction will be critical in the selection of participants for future research on the role of sleep disturbance in BD.

Published
2019
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29. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

Author

Laura M. Thornton, Paul Lichtenstein, Verneri Anttila, Diego Albani, Josep Antoni Ramos-Quiroga, Roger A.H. Adan, Monika Schlögelhofer, Stephen Sanders, Enrique Castelao, Klaus Berger, Nina Dalkner, Urs Heilbronner, Engilbert Sigurdsson, Pablo Mir, Fuquan Zhang, James T.R. Walters, Patrick F. Sullivan, Fragiskos Gonidakis, F. Kyle Satterstrom, Sara Marsal, Per Hoffmann, Amy Perry, Valentina Ciullo, Beate Herpertz-Dahlmann, Catharina Lavebratt, Kieran C. Murphy, Tammy Hedderly, Hyun Ju Hong, Evald Saemundsen, Sascha B. Fischer, Hailiang Huang, Andrew D. Grotzinger, Nienke Vulink, Murray B. Stein, Mark A. Frye, Laura J. Scott, David Curtis, Todd Lencz, Janiece E. DeSocio, Richard A. Belliveau, Eduard Vieta, Andrea Dietrich, Wade H. Berrettini, Kenneth S. Kendler, Marquis P. Vawter, Paul S. Nestadt, Michael E. Talkowski, Manuel Mattheisen, Ingrid Agartz, Elisa Docampo, Bernhard T. Baune, Stefan Ehrlich, Jolanta Lissowska, Felecia Cerrato, Terje Nærland, Robin M. Murray, Jennifer Reichert, Annette M. Hartmann, Hannelore Ehrenreich, Howard J. Edenberg, Katherine A. Halmi, Qingqin S. Li, Peristera Paschou, Marie Bækvad-Hansen, Esther Walton, Alessio Maria Monteleone, Ted Reichborn-Kjennerud, Frank Bellivier, Jungeun Song, D. Blake Woodside, Young Shin Kim, Jochen Seitz, Jacques Pantel, Palmiero Monteleone, Erika L. Nurmi, Rodney J. Scott, Kang Sim, Ekaterina A. Khramtsova, Udo Dannlowski, Rolf Adolfsson, Danielle Posthuma, Melissa J. Green, Laura Ibanez-Gomez, Jakob Grove, Elvira Bramon, Gregory L. Hanna, Cynthia M. Bulik, Yiran Guo, Stephan Ripke, Mary M. Robertson, Harald N. Aschauer, Adebayo Anjorin, Joanna Martin, Bertram Müller-Myhsok, Deborah Kaminská, Jose Guzman-Parra, Benedetta Nacmias, Erik G. Jönsson, Jonathan R. I. Coleman, Douglas F. Levinson, Hamdi Mbarek, Gun Peggy Knudsen, Karin Egberts, Mette Nyegaard, Patrik K. E. Magnusson, Mark Adams, Douglas Blackwood, Elisabeth B. Binder, Marcus Ising, Anna R. Docherty, Jim van Os, Nese Direk, Lina Martinsson, Maria Arranz, Christel M. Middeldorp, Stefan Kloiber, Sintia Iole Belangero, Eske M. Derks, Ingrid Melle, Erlend Bøen, Jan Haavik, Federica Piras, Unna N. Danner, Anil K. Malhotra, Gerome Breen, Stephen V. Faraone, Amanda B Zheutlin, Timothy Poterba, Stephan Ruhrmann, Inge Joa, Ulrik Fredrik Malt, Sarah E. Bergen, Federica Tozzi, Lauren A. Weiss, Hana Papezova, Dominic Holland, Elliot S. Gershon, Jaakko Kaprio, Merete Nordentoft, Scott D. Gordon, Christopher Pittenger, Keun-Ah Cheon, Jennifer Jordan, Philip Gorwood, Myrna M. Weissman, Preben Bo Mortensen, Melissa A. Munn-Chernoff, Isobel Heyman, Eun-Young Shin, Christie L. Burton, Katherine Gordon-Smith, Sietske G. Helder, Peter Nagy, Till F. M. Andlauer, Yunpeng Wang, Young Key Kim, Kate Langley, Søren Dalsgaard, Richard Delorme, Torbjørn Elvsåshagen, Bennett L. Leventhal, Giovanni Gambaro, Christos Androutsos, Jennifer Tübing, Marion Roberts, Annelie Nordin Adolfsson, Hakon Hakonarson, Dorothy E. Grice, Vaughan J. Carr, Konstantinos Tziouvas, Stephanie Zerwas, Cathy L. Barr, Michael Conlon O'Donovan, Per Qvist, Beate St Pourcain, Samuel Kuperman, Leila Karhunen, Jack Samuels, Markus M. Nöthen, Martien J H Kas, Alfonso Tortorella, Mikael Landén, Jennifer Crosbie, Marco A. Grados, Joanna M. Biernacka, Paul D. Arnold, Irene A. Malaty, Jurjen J. Luykx, Nicholas Bass, Naomi R. Wray, Catharina A. Hartman, Christina M. Hultman, Michael S. Okun, Brandon Wormley, Michael Bauer, Daniel J. Smith, Ian Jones, Kathryn Roeder, Brien P. Riley, Caroline M. Nievergelt, Katrin Gade, Sarah Kittel-Schneider, Roy H. Perlis, James R. Mitchell, Ziarih Hawi, James Lee, Liz Forty, William E. Bunney, Thomas Damm Als, Catherine Schaefer, Digby Quested, Matteo Cassina, Anna C. Koller, Patrick Turley, Agnes A. Steixner, Anu Raevuori, Assen Jablensky, Peter Holmans, Dong-Ho Song, S. Evelyn Stewart, Jan K. Buitelaar, Fernando S. Goes, Alexander Münchau, Ayman H. Fanous, Nicolas Ramoz, James B. Potash, Monica Gratacos Mayora, Tobias Banaschewski, Céline S. Reinbold, Renata Rizzo, Arianna Di Florio, Lenka Foretova, Gianfranco Spalletta, Aarno Palotie, Eleftheria Zeggini, Lawrence W. Brown, Julie K. O'Toole, Lynn E. DeLisi, Ulrich Schall, Mary Roberson, Barbara J. Coffey, Bryan J. Mowry, Murray J. Cairns, Dan J. Stein, Glyn Lewis, Marta Ribasés, C. Robert Cloninger, Bettina Konte, John B. Vincent, Duncan S. Palmer, Radhika Kandaswamy, Christine Ladd-Acosta, Lars Alfredsson, Frank Visscher, Ulrike Schmidt, Aiden Corvin, Susan L. Santangelo, Brenda W.J.H. Penninx, David J. Porteous, Tetsuya Ando, Arne E. Vaaler, Bru Cormand, Laura Carlberg, Claire Churchhouse, Manfred Stuhrmann, Niamh Mullins, Christine Søholm Hansen, Cathy L. Budman, Hartmut Imgart, Dan E. Arking, James J. McGough, Michael Gill, Christel Depienne, Roland Burghardt, Antonio Julià, Anders M. Dale, Sven Sandin, Katharina Domschke, Maria Grigoroiu-Serbanescu, Susana Jiménez-Murcia, Marianne Giørtz Pedersen, Zsanett Tarnok, Gisli Baldursson, Michele T. Pato, David M. Hougaard, Thorgeir E. Thorgeirsson, Katharina Bey, Kerstin J. Plessen, Margaret A. Richter, Ole A. Andreassen, Claudine Laurent-Levinson, Leonid Padyukov, Jacques Mallet, Daniela Degortes, John R. Kelsoe, Robert D. Levitan, Andreas Reif, Chaim Huyser, Derek W. Morris, Sina Wanderer, William Byerley, Edna Grünblatt, E.J.C. de Geus, Hyejung Won, Josephine Elia, Rudolf Uher, Jay A. Tischfield, Andreas Karwautz, Gustavo Turecki, Pieter J. Hoekstra, Dorret I. Boomsma, Jacob Rosenthal, Daniele Cusi, Michael C. Neale, Sara Mostafavi, Gwyneth Zai, F. Anthony O'Neill, Gary Donohoe, Karola Rehnström, Harry Brandt, Helena Gaspar, Francis J. McMahon, H-Erich Wichmann, Andrew W. Bergen, Giovanni Coppola, Lea K. Davis, Lenka Slachtova, Olav B. Smeland, Erin C. Dunn, Nicholas G. Martin, Allan L. Naarden, Jo Knight, Cristina Sánchez-Mora, Masashi Ikeda, Lorraine Southam, Sandro Sorbi, Barbara Franke, Martin Schalling, Russell Schachar, Yen-Chen Anne Feng, Kirsten R. Müller-Vahl, André Scherag, Zhaozhong Zhu, Eric A. Storch, Páll Magnússon, David Cohen, Olafur O Gudmundsson, Harvey S. Singer, Brian Kelly, Jonas Bybjerg-Grauholm, Blanca Garcia-Delgar, Thomas Hansen, Carmel M. Loughland, Christine Lochner, Stacy Steinberg, Martin Woods, Jorge A. Quiroz, Raquel Rabionet, Alden Y. Huang, Janice M. Fullerton, María Soler Artigas, Hans J. Grabe, Philip Asherson, Margit Burmeister, Alicia R. Martin, Martin A. Kennedy, Janet Treasure, Anders D. Børglum, Eva C. Schulte, Andreas Hartmann, Frans Henskens, Youl-Ri Kim, Jens Treutlein, Joanna Hauser, Manfred M. Fichter, Damiaan Denys, Ann E. Pulver, Kelly L. Klump, Paul Sandor, Michael Wagner, Philippe Courtet, Sandra Van der Auwera, Susanne Lucae, Eystein Stordal, Michel G. Nivard, Maurizio Clementi, Astrid Morer, Philip B. Mitchell, Huda Akil, Edwin H. Cook, Jennifer L. Moran, Donald W. Black, Jeremiah M. Scharf, Jana Strohmaier, Colm McDonald, Meg M.-J. Wang, Richard M. Myers, Stephanie Godard, Pablo V. Gejman, Athanasios Maras, Marcella Rietschel, Nancy G. Buccola, Konstantinos Hatzikotoulas, Dalila Pinto, Jouke-Jan Hottenga, Kari Stefansson, James S. Sutcliffe, Andres Metspalu, Amaia Hervás, Joel Gelernter, Wolfgang Herzog, Paula Rovira, Gunnar Morken, Tara Murphy, Mark Weiser, Vincent Millischer, Frank Dudbridge, Dan Rujescu, Vladimir Bencko, Valdo Ricca, Kimberly Chambert, Guy A. Rouleau, James J. Crowley, Thomas G. Schulze, Toni-Kim Clarke, Triinu Peters, Gudrun Wagner, Daniel A. Geller, Henry R. Kranzler, G. Bragi Walters, Vera Golimbet, Clement C. Zai, Nigel Williams, Andreas Birgegård, Joseph D. Buxbaum, Elliot M. Tucker-Drob, Jerome C. Foo, Tracey L. Petryshen, Daniel P. Howrigan, Hunna J. Watson, Franziska Degenhardt, Peter R. Schofield, Jesper Buchhave Poulsen, Stefan Herms, Johannes Hebebrand, Mario Maj, George Kirov, Fabrizio Piras, Sara McDevitt, James T. McCracken, Carol A. Mathews, Michael John Owen, Peter Falkai, Donald L. Gilbert, Enda M. Byrne, Fernando Fernández-Aranda, Csaba Barta, Stéphane Jamain, Jubao Duan, Dongmei Yu, Danielle C. Cath, Ole Mors, Sigrun Hope, Laramie E. Duncan, Alan R. Sanders, Sang-Yun Oh, Carsten Bøcker Pedersen, Henning Tiemeier, Roseann E. Peterson, Raymond K. Walters, Margarita C T Slof-Op 't Landt, Madeline Alexander, Stephanie Le Hellard, Ina Giegling, Annemarie A. van Elburg, Steven P. Hamilton, Vesna Boraska Perica, Thomas V. Fernandez, Danielle M. Dick, Francesco Bettella, Roel A. Ophoff, Grant W. Montgomery, Gerald Nestadt, Nakao Iwata, Jessica H. Baker, Walter H. Kaye, Jeremy M. Silverman, Mark J. Daly, Robert A. King, Sarah E. Medland, Anastasios Konstantinidis, Robert D. Oades, Samuel H. Zinner, Steven Crawford, Daniel H. Geschwind, Patrick W. L. Leung, Martin Alda, Marie Navratilova, Pak C. Sham, Paul A. Tooney, Tian Ge, Veit Roessner, Martin Preisig, Thomas Werge, Eli A. Stahl, David A. Collier, Stephanie H. Witt, Dermot Walsh, Miquel Casas, Anna Keski-Rahkonen, Jane H. Christensen, Silvia De Rubeis, Giorgio Pistis, Sven Cichon, Bruno Etain, Dominique Campion, O. Joseph Bienvenu, Christian Dina, Manolis Kogevinas, Thomas Espeseth, Benjamin M. Neale, Ditte Demontis, Klaus-Peter Lesch, Marina Mitjans, Tiffany A. Greenwood, Marcos Madruga-Garrido, Sibylle G. Schwab, Oedegaard Ketil Joachim, Hreinn Stefansson, Sara A. Paciga, Monica Forzan, Dieter B. Wildenauer, Lena Backlund, A. Jeremy Willsey, Carlos N. Pato, Nicholas John Craddock, Inge A. Meijer, Sandra K. Loo, Filip Rybakowski, Tracey D. Wade, Scott J. Crow, Bernard Lerer, Valsamma Eapen, Esben Agerbo, Andrew M. McIntosh, Luis Augusto Rohde, Susan L. McElroy, Stephan Zipfel, Peter P. Zandi, Cathryn M. Lewis, Lars Klareskog, Martin Begemann, Phil Lee, Richard Anney, Mark A. Bellgrove, Lisa Jones, Andreas J. Forstner, Agnieszka Słopień, Hilary Coon, Dong Li, Alessandro Serretti, Carsten Horn, Christos Pantelis, Ryan L. Collins, David M. Howard, Lucía Colodro-Conde, Pippa A. Thomson, Martin Hautzinger, Alysa E. Doyle, Julie Hagstrøm, Oliver S. P. Davis, Karen S. Mitchell, Jordan W. Smoller, Michael Strober, John I. Nurnberger, Andrea G. Ludolph, Monika Budde, Anna Maaser, Lambertus Klei, Aribert Rothenberger, Yulia Worbe, Fabian Streit, James L. Kennedy, Barbara E. Stranger, Ashley Dumont, Jianxin Shi, Dale R. Nyholt, Craig Johnson, Jonna Kuntsi, Yun-Joo Koh, Loes M. Olde Loohuis, Robert B. Freedman, Anke Hinney, Susanne Walitza, Enrico Domenici, Margarita Rivera, Sodahm Kook, Erica Greenberg, Tetyana Zayats, Josef Frank, Gary A. Heiman, Andrew McQuillin, Abraham Reichenberg, Piotr M. 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H., Anttila, V., Won, H., Feng, Y. -C. A., Rosenthal, J., Zhu, Z., Tucker-Drob, E. M., Nivard, M. G., Grotzinger, A. D., Posthuma, D., Wang, M. M. -J., Yu, D., Stahl, E. A., Walters, R. K., Anney, R. J. L., Duncan, L. E., Ge, T., Adolfsson, R., Banaschewski, T., Belangero, S., Cook, E. H., Coppola, G., Derks, E. M., Hoekstra, P. J., Kaprio, J., Keski-Rahkonen, A., Kirov, G., Kranzler, H. R., Luykx, J. J., Rohde, L. A., Zai, C. C., Agerbo, E., Arranz, M. J., Asherson, P., Baekvad-Hansen, M., Baldursson, G., Bellgrove, M., Belliveau, R. A., Buitelaar, J., Burton, C. L., Bybjerg-Grauholm, J., Casas, M., Cerrato, F., Chambert, K., Churchhouse, C., Cormand, B., Crosbie, J., Dalsgaard, S., Demontis, D., Doyle, A. E., Dumont, A., Elia, J., Grove, J., Gudmundsson, O. O., Haavik, J., Hakonarson, H., Hansen, C. S., Hartman, C. A., Hawi, Z., Hervas, A., Hougaard, D. M., Howrigan, D. P., Huang, H., Kuntsi, J., Langley, K., Lesch, K. -P., Leung, P. W. L., Loo, S. K., Martin, J., Martin, A. R., Mcgough, J. J., Medland, S. E., Moran, J. L., Mors, O., Mortensen, P. B., Oades, R. D., Palmer, D. S., Pedersen, C. B., Pedersen, M. G., Peters, T., Poterba, T., Poulsen, J. B., Ramos-Quiroga, J. A., Reif, A., Ribases, M., Rothenberger, A., Rovira, P., Sanchez-Mora, C., Satterstrom, F. K., Schachar, R., Artigas, M. S., Steinberg, S., Stefansson, H., Turley, P., Walters, G. B., Werge, T., Zayats, T., Arking, D. E., Bettella, F., Buxbaum, J. D., Christensen, J. H., Collins, R. L., Coon, H., De Rubeis, S., Delorme, R., Grice, D. E., Hansen, T. F., Holmans, P. A., Hope, S., Hultman, C. M., Klei, L., Ladd-Acosta, C., Magnusson, P., Naerland, T., Nyegaard, M., Pinto, D., Qvist, P., Rehnstrom, K., Reichenberg, A., Reichert, J., Roeder, K., Rouleau, G. A., Saemundsen, E., Sanders, S. J., Sandin, S., St Pourcain, B., Stefansson, K., Sutcliffe, J. S., Talkowski, M. E., Weiss, L. A., Willsey, A. J., Agartz, I., Akil, H., Albani, D., Alda, M., Als, T. 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B., Brandt, H., Burghardt, R., Carlberg, L., Cassina, M., Clementi, M., Courtet, P., Crawford, S., Crow, S., Crowley, J. J., Danner, U. N., Davis, O. S. P., Degortes, D., Desocio, J. E., Dick, D. M., Dina, C., Docampo, E., Egberts, K., Ehrlich, S., Espeseth, T., Fernandez-Aranda, F., Fichter, M. M., Foretova, L., Forzan, M., Gambaro, G., Giegling, I., Gonidakis, F., Gorwood, P., Mayora, M. G., Guo, Y., Halmi, K. A., Hatzikotoulas, K., Hebebrand, J., Helder, S. G., Herpertz-Dahlmann, B., Herzog, W., Hinney, A., Imgart, H., Jimenez-Murcia, S., Johnson, C., Jordan, J., Julia, A., Kaminska, D., Karhunen, L., Karwautz, A., Kas, M. J. H., Kaye, W. H., Kennedy, M. A., Kim, Y. -R., Klareskog, L., Klump, K. L., Knudsen, G. P. S., Landen, M., Le Hellard, S., Levitan, R. D., Li, D., Lichtenstein, P., Maj, M., Marsal, S., Mcdevitt, S., Mitchell, J., Monteleone, P., Monteleone, A. M., Munn-Chernoff, M. A., Nacmias, B., Navratilova, M., O'Toole, J. 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S., Paschou, P., Piras, F., Pittenger, C., Plessen, K. J., Richter, M. A., Rizzo, R., Robertson, M., Roessner, V., Ruhrmann, S., Samuels, J. F., Sandor, P., Schlogelhofer, M., Shin, E. -Y., Singer, H., Song, D. -H., Song, J., Spalletta, G., Stein, D. J., Stewart, S. E., Storch, E. A., Stranger, B., Stuhrmann, M., Tarnok, Z., Tischfield, J. A., Tubing, J., Visscher, F., Vulink, N., Wagner, M., Walitza, S., Wanderer, S., Woods, M., Worbe, Y., Zai, G., Zinner, S. H., Sullivan, P. F., Franke, B., Daly, M. J., Bulik, C. M., Mcintosh, A. M., O'Donovan, M. C., Zheutlin, A., Andreassen, O. A., Borglum, A. D., Breen, G., Edenberg, H. J., Fanous, A. H., Faraone, S. V., Gelernter, J., Mathews, C. A., Mattheisen, M., Mitchell, K. S., Neale, M. C., Nurnberger, J. I., Ripke, S., Santangelo, S. L., Scharf, J. M., Stein, M. B., Thornton, L. M., Walters, J. T. R., Wray, N. R., Geschwind, D. H., Neale, B. M., Kendler, K. S., and Smoller, J. W.

Subjects
Netherlands Twin Register (NTR), cross-disorder genetics, Medizin, Genome-wide association study, Tourette syndrome, functional genomics, gene expression, genetic architecture, genetic correlation, GWAS, neurodevelopment, pleiotropy, psychiatric disorders, Psychiatric genetics, 0302 clinical medicine, Pleiotropy, functional genomic, WIDE ASSOCIATION, cross-disorder genetic, 0303 health sciences, Mental Disorders, Genetic Pleiotropy, HUMAN BRAIN, INSIGHTS, Autism spectrum disorder, Schizophrenia, DISEASES, GENETIC CORRELATIONS, medicine.medical_specialty, Neurogenesis, Quantitative Trait Loci, BF, Biology, GENOTYPE IMPUTATION, Psychiatric geneticscross-disorder geneticspsychiatric disorderspleiotropyneurodevelopmentGWASgenetic correlationgene expressiongenetic architecturefunctional genomics, Article, General Biochemistry, Genetics and Molecular Biology, psychiatric disorder, 03 medical and health sciences, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, TRANSCRIPTOME, Psychiatry, 030304 developmental biology, Gwas, Psychiatric Genetics, Cross-disorder Genetics, Functional Genomics, Gene Expression, Genetic Architecture, Genetic Correlation, Neurodevelopment, Psychiatric Disorders, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], IDENTIFICATION, MUTATIONS, medicine.disease, Genetic architecture, DEMETHYLASE, RC0321, 1182 Biochemistry, cell and molecular biology, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Genetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting substantial pleiotropy of contributing loci. However, the nature and mechanisms of these pleiotropic effects remain unclear. We performed analyses of 232,964 cases and 494,162 controls from genome-wide studies of anorexia nervosa, attention-deficit/hyper-activity disorder, autism spectrum disorder, bipolar disorder, major depression, obsessive-compulsive disorder, schizophrenia, and Tourette syndrome. Genetic correlation analyses revealed a meaningful structure within the eight disorders, identifying three groups of inter-related disorders. Meta-analysis across these eight disorders detected 109 loci associated with at least two psychiatric disorders, including 23 loci with pleiotropic effects on four or more disorders and 11 loci with antagonistic effects on multiple disorders. The pleiotropic loci are located within genes that show heightened expression in the brain throughout the lifespan, beginning prenatally in the second trimester, and play prominent roles in neurodevelopmental processes. These findings have important implications for psychiatric nosology, drug development, and risk prediction.

Published
2019

30. International Consortium on the Genetics of Electroconvulsive Therapy and Severe Depressive Disorders (Gen-ECT-ic)

Author

Roumen Milev, Peter P. Zandi, Alessandra Minelli, Daniel J. Smith, Miquel Bioque, Janusz K. Rybakowski, Brian J. Mickey, Mikel Urretavizacaya, Jan Haavik, Udo Dannlowski, Narcís Cardoner, Erik Pålsson, Eric D. Achtyes, Patrick F. Sullivan, Declan M. McLoughlin, Wendy Marie Ingram, Axel Nordensköld, Eduard Vieta, Takahiro Soda, Volker Arolt, Arianna Di Florio, Jamie Rea, Ian Jones, Bernhard T. Baune, Mustafa M. Husain, Caitlin C. Clements, Stuart Watson, Mikael Landén, Scott R. Clark, Meethu Paul, Lisa Jones, Katherine Gordon-Smith, Fidel Vila-Rodriguez, Massimo Gennarelli, Mario Francisco Juruena, Ronny Redlich, Maxim Zavorotny, Akihiro Takamiya, Anna R. Docherty, Joshua A. Sonnen, Liz Forty, Virginia Soria, Daniel J. Müller, Colleen Loo, Klaus Oliver Schubert, George Kirov, Julie Langan Martin, Monika Dmitrzak-Weglarz, Chad A. Bousman, Will Stageman, Agnieszka Permoda, Ute Kessler, Bartlomiej Pliszka, Leif Oltedal, Nicholas John Craddock, Allan H. Young, and Emily Clare

Subjects
Treatment response, medicine.medical_specialty, Neurology, Bipolar disorder, medicine.medical_treatment, Datasets as Topic, Genome-wide association study, Major depressive disorder, behavioral disciplines and activities, Article, 03 medical and health sciences, 0302 clinical medicine, Electroconvulsive therapy, Cognition, mental disorders, medicine, Humans, Multicenter Studies as Topic, GWAS, Pharmacology (medical), Severe depression, Biological Psychiatry, Depression (differential diagnoses), Genetics, Depressive Disorder, Data Collection, ECT, General Medicine, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Genomic, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Recent genome-wide association studies have demonstrated that the genetic burden associated with depression correlates with depression severity. Therefore, conducting genetic studies of patients at the most severe end of the depressive disorder spectrum, those with treatment resistant depression and who are prescribed electroconvulsive therapy (ECT), could lead to a better understanding of the genetic underpinnings of depression. Despite ECT being one of the most effective forms of treatment for severe depressive disorders, it is usually placed at the end of treatment algorithms of current guidelines. This is perhaps because ECT has controlled risk and logistical demands including use of general anaesthesia and muscle relaxants and side effects such as short-term memory impairment. Better understanding of the genetics and biology of ECT response and of cognitive side effects could lead to more personalized treatment decisions. To enhance the understanding of the genomics of severe depression and ECT response, researchers and ECT providers from around the world and from various depression or ECT networks, but not limited to, such as the Psychiatric Genomics Consortium, the Clinical Alliance and Research in ECT (CARE), and the National Network of Depression Centers (NNDC) have formed the Genetics of ECT International Consortium (Gen-ECT-ic). Gen-ECT-ic will organize the largest clinical and genetic collection to date to study the genomics of severe depressive disorders and response to ECT, aiming for 30,000 patients worldwide using a GWAS approach. At this stage it will be the largest genomic study on treatment response in depression. Retrospective data abstraction and prospective data collection will be facilitated by a uniform data collection approach that is flexible and will incorporate data from many clinical practices. Gen-ECT-ic invites all ECT providers and researchers to join its efforts.

Published
2019

31. Clinical Challenges and Opportunities of Bipolar Disorder Genomics

Author

Ian Jones, Arianna Di Florio, Lisa Jones, Kath Gordon-Smith, and Nicholas John Craddock

Subjects
medicine.medical_specialty, business.industry, medicine, Genomics, Bipolar disorder, Psychiatry, medicine.disease, business, Biological Psychiatry
Published
2021

32. Prevalence and correlates of psychotic experiences amongst children of depressed parents

Author

Anita Thapar, Rhys Bevan Jones, Becky Mars, Ajay Kumar Thapar, Stanley Zammit, Stephan Collishaw, Robert Potter, and Nicholas John Craddock

Subjects
Male, Parents, Risk, Longitudinal study, medicine.medical_specialty, Adolescent, Offspring, 03 medical and health sciences, 0302 clinical medicine, Child of Impaired Parents, Recurrence, Prevalence, medicine, Humans, Longitudinal Studies, Child, Psychiatry, Biological Psychiatry, Depression (differential diagnoses), Depressive Disorder, Major, Depression, Psychiatric assessment, medicine.disease, R1, 030227 psychiatry, Psychiatry and Mental health, Distress, Mood, Psychotic Disorders, Schizophrenia, Female, Psychology, 030217 neurology & neurosurgery, Clinical psychology, Psychopathology
Abstract

Psychotic experiences in young people are substantially more common than psychotic disorders, and are associated with distress and functional impairment. Family history of depression as well as of schizophrenia increases risk for psychotic experiences, but the prevalence of such experiences and their clinical relevance in offspring of depressed parents is unknown. Our objectives were to explore i) the prevalence of psychotic experiences amongst offspring of parents with recurrent unipolar depression and ii) the relationship between psychotic experiences and other psychopathology. Data were drawn from the 'Early Prediction of Adolescent Depression' longitudinal study of high-risk offspring (aged 9-17 years at baseline) of 337 parents with recurrent depression. Three assessments were conducted over four years. Psychopathology was assessed using the Child and Adolescent Psychiatric Assessment. Seventy-eight percent of families (n=262) had complete data on psychotic experiences at each of the three time points. During the study, 8.4% (n=22; 95% CI 5.0%, 11.8%) of offspring reported psychotic experiences on at least one occasion, and these were associated with psychiatric disorder, specifically mood and disruptive disorders, and suicidal thoughts/behaviour. Psychotic experiences amongst offspring of depressed parents index a range of psychopathology. Further research is needed to examine their clinical significance and long-term consequences.

Published
2016

33. Mental health resilience in the adolescent offspring of parents with depression: a prospective longitudinal study

Author

Liam Mahedy, Ruth Sellers, Frances Rice, Gordon Thomas Harold, Ajay Kumar Thapar, Nicholas John Craddock, Michael John Owen, Stephan Collishaw, Gemma Hammerton, and Anita Thapar

Subjects
Male, medicine.medical_specialty, Longitudinal study, Adolescent, Offspring, психическое здоровье, BF, 03 medical and health sciences, 0302 clinical medicine, Child of Impaired Parents, депрессии, medicine, Humans, Expressed emotion, 0501 psychology and cognitive sciences, Longitudinal Studies, Prospective Studies, Psychiatry, BF0712, Biological Psychiatry, Depression (differential diagnoses), Depression, business.industry, 05 social sciences, Cognition, Odds ratio, Resilience, Psychological, Mental health, R1, 3. Good health, Psychiatry and Mental health, Mood, Female, business, подростки, 030217 neurology & neurosurgery, 050104 developmental & child psychology, Clinical psychology
Abstract

BACKGROUND:Young people whose parents have depression have a greatly increased risk of developing a psychiatric disorder, but poor outcomes are not inevitable. Identification of the contributors to mental health resilience in young people at high familial risk is an internationally recognised priority. Our objectives were to identify protective factors that predict sustained good mental health in adolescents with a parent with depression and to test whether these contribute beyond what is explained by parent illness severity.METHODS:The Early Prediction of Adolescent Depression study (EPAD) is a prospective longitudinal study of offspring of parents with recurrent depression. Parents with recurrent major depressive disorder, co-parents, and offspring (aged 9-17 years at baseline) were assessed three times over 4 years in a community setting. Offspring outcomes were operationalised as absence of mental health disorder, subthreshold symptoms, or suicidality on all three study occasions (sustained good mental health); and better than expected mental health (mood and behavioural symptoms at follow-up lower than predicted given severity of parental depression). Family, social, cognitive, and health behaviour predictor variables were assessed using interview and questionnaire measures.FINDINGS:Between February and June, 2007, we screened 337 families at baseline, of which 331 were eligible. Of these, 262 completed the three assessments and were included in the data for sustained mental health. Adolescent mental health problems were common, but 53 (20%) of the 262 adolescents showed sustained good mental health. Index parent positive expressed emotion (odds ratio 1·91 [95% CI 1·31-2·79]; p=0·001), co-parent support (1·90 [1·38-2·62]; pINTERPRETATION:Adolescent mental health problems are common, but not inevitable, even when parental depression is severe and recurrent. These findings suggest that prevention programmes will need to enhance multiple protective factors across different domains of functioning.FUNDING:Sir Jules Thorn Charitable Trust, Economic and Social Research Council.

Published
2016
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34. Genotype-phenotype Correlations in Darier Disease - a Focus on the Neuropsychiatric Phenotype

Author

Sherine Tavadia, Katherine Gordon-Smith, Lisa Jones, Detelina Grozeva, Nicholas John Craddock, and Elaine K. Green

Subjects
Male, 0301 basic medicine, Gene isoform, Genotype, BF, Sarcoplasmic Reticulum Calcium-Transporting ATPases, 030207 dermatology & venereal diseases, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Darier Disease, ATP2A2, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, Genotype-Phenotype Correlations, Gene, Genetic Association Studies, Genetics (clinical), Skin, Genetics, business.industry, Mental Disorders, medicine.disease, Phenotype, Psychiatry and Mental health, 030104 developmental biology, Schizophrenia, Mutation, RC0321, Female, business
Abstract

Darier Disease (DD) is an autosomal dominant skin disorder caused by mutations in ATP2A2 encoding the sarco/endoplasmic reticulum Ca2+ ATPase isoform 2 (SERCA2). Evidence of a population-level association between DD and psychiatric disorders suggests that mutations in ATP2A2 may have pleiotropic effects on the brain as well as skin. Evidence of genotype-phenotype relationships between ATP2A2 mutations and neuropsychiatric phenotypes would further support this suggestion. \ud We investigated genotype-phenotype correlations between lifetime neuropsychiatric features and ATP2A2 mutation type (dichotomized into likely gene disrupting (LGD) or protein altering (PA)) in 75 unrelated individuals with DD. We also looked for evidence of clustering of mutations within SERCA2 according to neuropsychiatric features.\ud Combining our data with the existing literature, the rate of LGD mutations was found to be significantly higher among DD cases/families with bipolar disorder, schizophrenia or affective psychosis (p=0.011). We also found a significant relationship between mutations located in the S4-M4 region of the protein and the presence of a severe neuropsychiatric phenotype (p=0.032).\ud Our findings add support to the hypothesis that Darier-causing mutations in ATP2A2 confer susceptibility to neuropsychiatric dysfunction, in particular severe psychiatric illness. This, together with evidence from research on common polymorphisms confirms ATP2A2 as a gene at which variation influences susceptibility to major psychiatric illness.

Published
2018

35. Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

Author

Peter P. Zandi, Lisa Jones, Aartjan T.F. Beekman, Christine Fraser, Andreas J. Forstner, Nese Direk, Mark Lathrop, Jesper Krogh, Merete Nordentoft, Bradley T. Webb, Yihan Li, Michael Bauer, Qingqin S. Li, Daniel J. Smith, Carsten Horn, Robert C. Thompson, René Breuer, Eli A. Stahl, David A. Collier, Richard Williamson, Boomsma, Dorret, I, Céline S. Reinbold, Laura J. Scott, Manolis Kogevinas, Jacob Lawrence, Caroline Hayward, Nicholas J. Schork, Penelope A. Lind, Wade H. Berrettini, John B. Vincent, Toni-Kim Clarke, Henry Voelzke, Stacy Steinberg, Hreinn Stefansson, Dean F. MacKinnon, Thorgeir E. Thorgeirsson, Niamh Mullins, Esben Agerbo, Rudolf Uher, Christina M. Hultman, Pamela A. F. Madden, Eva C. Schulte, Matthew Flickinger, Sebastian Zöllner, Kenneth S. Kendler, Urban Ösby, Enrique Castelao, Michael John Owen, Colm O'Dushlaine, Jens Treutlein, Joanna Hauser, Markus M. Noethen, Erin N. Smith, James McKay, Sandra Van der Auwera, Erin C. Dunn, Steven P. Hamilton, Martin Schalling, Helmut Vedder, Katherine Gordon-Smith, Fabio Rivas, Matthias Nauck, James B. Potash, Morten Mattingsdal, Ling Shen, Tim B. Bigdeli, Kimberly Chambert, Volker Arolt, Daniel L. Koller, Annelie Nordin Adolfsson, Na Cai, Nicholas G. Martin, Carlos N. Pato, Georg Homuth, Jonas Bybjerg-Grauholm, Alexander Teumer, Wesley K. Thompson, Hamel Patel, Jian Yang, Margit Burmeister, Frank Bellivier, Jodie N. Painter, Enda M. Byrne, Margarita Rivera, Nicholas John Craddock, Tatiana Foroud, Shaun Purcell, Paul D. Shilling, David Craig, Vanessa Kiyomi Ota, Michael Boehnke, Devin Absher, Stéphane Jamain, Anne Farmer, Yunpeng Wang, Ole Mors, William A. Scheftner, Jack D. Barchas, Robert Maier, Stanley J. Watson, Allan H. Young, Baptiste Couvy-Duchesne, Jakob Grove, Rick Jansen, John P. Rice, Gerome Breen, Eske M. Derks, Ingrid Melle, Tiffany A. Greenwood, Manuel Mattheisen, Bernard Ng, Edward M. Scolnick, Stefan Kloiber, Lili Milani, Yuri Milaneschi, Fermín Mayoral, Engilbert Sigurdsson, Sarah E. Medland, Wolfgang Maier, Alan F. Schatzberg, Myrna M. Weissman, Jun Li, John R. Kelsoe, Eric Jorgenson, Grant C.B. Sinnamon, Preben Bo Mortensen, Jana Strohmaier, William Byerley, Michel G. Nivard, Richard M. Myers, Evelin Mihailov, Gustavo Turecki, Benjamin S. Pickard, Ian J. Deary, Bernhard T. Baune, Marian L. Hamshere, Stephanie H. Witt, Patrick F. Sullivan, Jennifer L. Moran, Farnush Farhadi Hassan Kiadeh, Cathryn M. Lewis, Srdjan Djurovic, Ian B. Hickie, Hans J. Grabe, Helena Gaspar, Francis J. McMahon, Catherine Schaefer, Guy A. Rouleau, Sandra Meier, Derek W. Morris, Tõnu Esko, Wouter J. Peyrot, Markus Schwarz, Silviu-Alin Bacanu, Adam Wright, Melvin G. McInnis, Elaine K. Green, Douglas M. Ruderfer, Danielle Posthuma, Franziska Degenhardt, Per Qvist, Henriette N. Buttenschøn, Jolanta Lissowska, Stephan Ripke, Nicholas Bass, Giorgio Pistis, Emma M. Quinn, Shantel Weinsheimer, Howard J. Edenberg, Sintia Iole Belangero, Charles Curtis, Ashley R. Winslow, Tracy M. Air, Johannes H. Smit, Isaac S. Kohane, Wei Xu, Pamela B. Mahon, Neonila Szeszenia-Dabrowska, Gonneke Willemsen, Ivan Nikolov, Sven Cichon, Gregory E. Crawford, David M. Hougaard, E.J.C. de Geus, Klaus Berger, Evaristus A. Nwulia, Fernando S. Goes, Pablo Cervantes, Udo Dannlowski, Rolf Adolfsson, Thomas G. Schulze, Bruno Etain, Mark J. Adams, Thomas Hansen, Hugh Gurling, Fan Guo Meng, Judith A. Badner, Julien Bryois, Mateus Jose Abdalla Diniz, Rodrigo A. Bressan, Radhika Kandaswamy, Josef Frank, I. Nicol Ferrier, Bertram Mueller-Myhsok, Manuel A. R. Ferreira, Marion Leboyer, Futao Zhang, Valentina Moskvina, Patrik K. E. Magnusson, Laura M. Huckins, Douglas Blackwood, Michael Gill, Jianxin Shi, Dale R. Nyholt, Nancy L. Pedersen, André G. Uitterlinden, Henning Tiemeier, Vassily Trubetskoy, Scott D. Gordon, Ian Jones, Grant W. Montgomery, Martin Preisig, Cristiana Cruceanu, Sara A. Paciga, Lena Backlund, Abdel Abdellaoui, Andres Metspalu, Gunnar Morken, Marcus Ising, Sascha B. Fischer, Lilijana Oruc, Sian Caesar, Sarah Kittel-Schneider, Thalia C. Eley, Vihra Milanova, Thomas Werge, Andrew Heath, Katherine E. Tansey, Thomas W. Muehleisen, Jane H. Christensen, Chunyu Liu, Mikael Landén, Douglas F. Levinson, Julia Kraft, Juergen Wellmann, Coleman, Jonathan R., I, Peng Zhang, Glyn Lewis, Henning Teismann, Hamdi Mbarek, Carsten Bøcker Pedersen, Szabolcs Szelinger, Alexander Viktorin, Paul Brennan, Brenda W.J.H. Penninx, Maciej Trzaskowski, Yang Wu, Katharina Domschke, John Strauss, Hilary K. Finucane, Detelina Grozeva, Peter Holmans, Saira Saeed Mirza, Ole A. Andreassen, John I. Nurnberger, Lynsey S Hall, Till F. M. Andlauer, Sara Mostafavi, Andreas Reif, Joanna M. Biernacka, Christine Søholm Hansen, Hualin S. Xi, Stephen Newhouse, William E. Bunney, Andrew M. McIntosh, Anna Maaser, Enrico Domenici, Shyn, Stanley, I, Gail Davies, Warren W. Kretzschmar, Simone de Jong, Lucía Colodro-Conde, Pippa A. Thomson, Francis M. Mondimore, Martin Hautzinger, Cinnamon S. Bloss, Fabian Streit, James L. Kennedy, Erik Pettersson, Peter M. Visscher, Valentina Escott-Price, Donald J. MacIntyre, Johannes Schumacher, Kevin A. McGhee, Divya Mehta, Naomi R. Wray, Robert A. Schoevers, John A. Rice, Jordan W. Smoller, Anders D. Børglum, Susanne Lucae, Jorge A. Quiroz, Daniel Umbricht, Jouke-Jan Hottenga, Kari Stefansson, Marcella Rietschel, Zoltán Kutalik, Sarah E. Bergen, Paul F. O'Reilly, Amanda Dobbyn, Michael Conlon O'Donovan, Falk W. Lohoff, Caroline M. Nievergelt, David J. Porteous, Matthew Traylor, Brien P. Riley, Roy H. Perlis, J. Raymond DePaulo, Martin Alda, James A. Knowles, Cristiano Noto, Keith Matthews, Mark A. Frye, Patrick J. McGrath, Roseann E. Peterson, David St Clair, Roel A. Ophoff, William Coryell, Peter McGuffin, Andiara Calado Saloma Rodrigues, Elliot S. Gershon, Conor V. Dolan, Janice M. Fullerton, Weihua Guan, Niklas Långström, Pamela Sklar, Paul Lichtenstein, Per Hoffmann, Ary Gadelha, Alan W. McLean, Andrew McQuillin, Philip B. Mitchell, Huda Akil, Piotr M. Czerski, Michael Steffens, Hogni Oskarsson, Soumya Raychaudhuri, Marcos L. Santoro, Elisabeth B. Binder, Christel M. Middeldorp, Jose G. Para, Jurgen Del-Favero, Vishwajit L. Nimgaonkar, Peter R. Schofield, Stefan Herms, Marie Bækvad-Hansen, Andrea Pfennig, Albert M. van Hemert, Jutta Kammerer-Ciernioch, Adebayo Anjorin, Sara Paciga, William Lawson, George Kirov, Aiden Corvin, Maria Grigoroiu-Serbanescu, Marianne Giørtz Pedersen, Jonathan Marchini, Markus Leber, Maria Hipolito, Louise Frisén, Margitta Borrmann-Hassenbach, Amanda Elkin, Major Depressive Disorder and Bipolar Disorder Working Groups 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., Blackwood, DHR, 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., Kiadeh, FFH, Finucane, H.K., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., 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., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., 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., 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, EJC, 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, PAF, 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., Børglum, A.D., Sullivan, P.F., Meier, S., Strauss, J., Xu, W., Vincent, J.B., Matthews, K., Ferreira, M., O'Dushlaine, C., Purcell, S., Raychaudhuri, S., Ruderfer, D.M., Sklar, P., Scott, L.J., Flickinger, M., Burmeister, M., Li, J., Guan, W., Absher, D., Thompson, R.C., Meng, F.G., Schatzberg, A.F., Bunney, W.E., Barchas, J.D., Watson, S.J., Myers, R.M., Akil, H., Boehnke, M., Chambert, K., Moran, J., Scolnick, E., Djurovic, S., Melle, I., Morken, G., Corvin, A., Anjorin, A., Kandaswamy, R., Lawrence, J., McLean, A.W., Pickard, B.S., Bergen, S.E., Nimgaonkar, V., Landén, M., Schalling, M., Osby, U., Backlund, L., Frisén, L., Langstrom, N., Stahl, E., Dobbyn, A., Jamain, S., Etain, B., Bellivier, F., Leber, M., Maaser, A., Fischer, S.B., Reinbold, C.S., Kittel-Schneider, S., Fullerton, J.M., Oruč, L., Para, J.G., Mayoral, F., Rivas, F., Czerski, P.M., Kammerer-Ciernioch, J., Vedder, H., Borrmann-Hassenbach, M., Pfennig, A., Brennan, P., McKay, J.D., Kogevinas, M., Schwarz, M., Schofield, P.R., Mühleisen, T.W., Schumacher, J., Bauer, M., Wright, A., Mitchell, P.B., Hautzinger, M., Kelsoe, J.R., Greenwood, T.A., Nievergelt, C.M., Shilling, P.D., Smith, E.N., Bloss, C.S., Edenberg, H.J., Koller, D.L., Gershon, E.S., Liu, C., Badner, J.A., Scheftner, W.A., Lawson, W.B., Nwulia, E.A., Hipolito, M., Coryell, W., Rice, J., Byerley, W., McMahon, F.J., Lohoff, F.W., Zandi, P.P., Mahon, P.B., McInnis, M.G., Zöllner, S., Zhang, P., Szelinger, S., St Clair, D., Caesar, S., Gordon-Smith, K., Fraser, C., Green, E.K., Grozeva, D., Hamshere, M.L., Kirov, G., Nikolov, I., Collier, D.A., Elkin, A., Williamson, R., Young, A.H., Ferrier, I.N., Milanova, V., Alda, M., Cervantes, P., Cruceanu, C., Rouleau, G.A., Turecki, G., Paciga, S., Winslow, A.R., Grigoroiu-Serbanescu, M., Ophoff, R., Adolfsson, R., Adolfsson, A.N., Del-Favero, J., Pato, C., Biernacka, J.M., Frye, M.A., Morris, D., Schork, N.J., Reif, A., Lissowska, J., Hauser, J., Szeszenia-Dabrowska, N., McGhee, K., Quinn, E., Moskvina, V., Holmans, P.A., Farmer, A., Kennedy, J.L., Andreassen, O.A., Mattingsdal, M., Bass, N.J., Gurling, H., McQuillin, A., Breuer, R., Hultman, C., Lichtenstein, P., Huckins, L.M., Leboyer, M., Lathrop, M., Nurnberger, J., Steffens, M., Foroud, T.M., Berrettini, W.H., Craig, D.W., Shi, J., Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Major Depressive Disorder Bipolar, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Methodology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, Pediatric Surgery, Epidemiology, Child and Adolescent Psychiatry / Psychology, Psychiatry, and Internal Medicine

Subjects
Netherlands Twin Register (NTR), 0301 basic medicine, Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium, Bipolar Disorder, SAMPLE, Medicine (miscellaneous), Pedigree chart, Disease, 0302 clinical medicine, SCHIZOPHRENIA, 2.1 Biological and endogenous factors, Medicine, Aetiology, ANTICIPATION, lcsh:QH301-705.5, Psychiatry, 0303 health sciences, Depression, ASSOCIATION, Serious Mental Illness, Mental Health, Schizophrenia, Major depressive disorder, General Agricultural and Biological Sciences, Engineering sciences. Technology, medicine.medical_specialty, Context (language use), Article, Psykiatri, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, AGE, SDG 3 - Good Health and Well-being, ddc:570, Behavioral and Social Science, Genetics, PLINK, Genetic Testing, Bipolar disorder, Biology, 030304 developmental biology, business.industry, Prevention, Human Genome, Assortative mating, medicine.disease, Brain Disorders, 030104 developmental biology, Mood, lcsh:Biology (General), Mood disorders, Anticipation (genetics), ONSET, Human medicine, business, 030217 neurology & neurosurgery
Abstract

Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders., Simone de Jong et al. examine the balance of common and rare risk for psychiatric disorders in a large family with high incidence of Bipolar Disorder and Major Depressive Disorder. They find that increased polygenic risk over generations could be partially due to assortative mating, which may explain the observation of anticipation in mood disorders.

Published
2018

36. Contribution of rare copy number variants to bipolar disorder risk is limited to schizoaffective cases

Author

Christopher P. Morley, Jennifer L. Moran, Douglas S. Lehrer, Janet L. Sobell, Arianna Di Florio, Mikael Landén, Peter F. Buckley, Steven A. McCarroll, Elaine K. Green, Phil H. Lee, Jordan W. Smoller, Liz Forty, Katherine E. Burdick, Lena Backlund, Michele T. Pato, Martin Schalling, Jeffrey J. Rakofsky, Eli A. Stahl, Katherine Gordon-Smith, Carlos N. Pato, Ayman H. Fanous, Alexander W. Charney, Nicholas John Craddock, Sarah E. Bergen, James A. Knowles, Douglas M. Ruderfer, Laura J. Fochtmann, Stephen R. Marder, Shaun Purcell, Mark Hyman Rapaport, Humberto Nicolini, Ian Jones, Kimberly Chambert, Chia-Yen Chen, Michael Escamilla, Evelyn J. Bromet, Pamela Sklar, Paul Lichtenstein, Diana O. Perkins, Helena Medeiros, Anders Juréus, Christina A Hultman, Roy H. Perlis, Lisa Jones, Dolores Malaspina, and Richard A. Belliveau

Subjects
0301 basic medicine, Oncology, Multifactorial Inheritance, medicine.medical_specialty, Psychosis, Bipolar Disorder, Bipolar I disorder, DNA Copy Number Variations, BF, Schizoaffective disorder, Article, Cohort Studies, 03 medical and health sciences, Bipolar II disorder, 0302 clinical medicine, Gene Duplication, Internal medicine, mental disorders, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, Biological Psychiatry, Depression (differential diagnoses), 030304 developmental biology, 0303 health sciences, business.industry, Not Otherwise Specified, Genomics, medicine.disease, 3. Good health, 030104 developmental biology, Psychotic Disorders, Schizophrenia, Case-Control Studies, RC0321, Disease Susceptibility, medicine.symptom, business, Mania, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

BackgroundGenetic risk for bipolar disorder (BD) is conferred through many common alleles, while a role for rare copy number variants (CNVs) is less clear. BD subtypes schizoaffective disorder bipolar type (SAB), bipolar I disorder (BD I) and bipolar II disorder (BD II) differ according to the prominence and timing of psychosis, mania and depression. The factors contributing to the combination of symptoms within a given patient are poorly understood.MethodsRare, large CNVs were analyzed in 6353 BD cases (3833 BD I [2676 with psychosis, 850 without psychosis], 1436 BD II, 579 SAB) and 8656 controls. Measures of CNV burden were integrated with polygenic risk scores (PRS) for schizophrenia (SCZ) to evaluate the relative contributions of rare and common variants to psychosis risk.ResultsCNV burden did not differ in BD relative to controls when treated as a single diagnostic entity. Burden in SAB was increased compared to controls (p-value = 0.001), BD I (p-value = 0.0003) and BD II (p-value = 0.0007). Burden and SCZ PRS were higher in SAB compared to BD I with psychosis (CNV p-value = 0.0007, PRS p-value = 0.004) and BD I without psychosis (CNV p-value = 0.0004, PRS p-value = 3.9 × 10−5). Within BD I, psychosis was associated with higher SCZ PRS (p-value = 0.005) but not with CNV burden.ConclusionsCNV burden in BD is limited to SAB. Rare and common genetic variants may contribute differently to risk for psychosis and perhaps other classes of psychiatric symptoms.

Published
2018
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37. A National Population-Based E-cohort of People with Psychosis (PsyCymru) Linkage of Phenotypical and Genetic Data to Routinely Collected Records

Author

Sze Chim Lee, Ian Jones, Michael John Owen, David Edmund Johannes Linden, Richard P. Bentall, Keith Lloyd, Ann John, Ronan A Lyons, James T.R. Walters, and Nicholas John Craddock

Subjects
Psychosis, Information Systems and Management, business.industry, Medical record, Health Informatics, medicine.disease, lcsh:HB848-3697, Schizophrenia, Structured interview, Intellectual disability, Health care, Cohort, medicine, Autism, lcsh:Demography. Population. Vital events, business, Information Systems, Demography
Abstract

IntroductionPsyCymru was established to investigate the feasibility of linking a prospectively ascertained, well characterised (linked clinical cohort) of people with psychosis in Wales, UK with large amounts of anonymised routinely collected health record data. We are now additionally linking genetic data. Objectives and ApproachPsyCymru aimed to create a research platform for psychosis research in Wales by establishing two cohorts. The first was a well-characterised clinically assessed cohort with genetic data. Consented individuals underwent structured interviews using well-validated questionnaires and gave blood sample for DNA extraction, sequencing, and candidate gene identification. This data was then linked to routinely collected health and social datasets with identity encryption. The second is a larger e-cohort of prevalent psychosis cases created using a validated algorithm applied to anonymised routine data. Both cohorts were tracked prospectively and retrospectively in the Secure Anonymised Information Linkage (SAIL) databank. ResultsIn total, data from 958 individuals for the clinical cohort were imported to SAIL. Among these individuals, genetic data for 740 were analysed. The genetic data included robust loci for schizophrenia, pathogenic copy-number variations (CNVs) for various conditions (e.g., autism, intellectual disability, congenital malformations), polygenic risks scores for schizophrenia, as well as pathogenic/non-pathogenic duplications or deletions of chromosome spanning more than 500kb or 1Mb. For the e-cohort, 29,797 individuals were found having a psychosis diagnosis from primary and secondary care between 2004 to 2013. Social demographic data for both cohorts were also analysed based on sex, age, area deprivation, urbanicity, and employment status. Conclusion/ImplicationsThis unique platform pooled data together from multiple sources; linking clinical, psychological, biological, genetic, and health care factors to address assorted research questions. This resource will continue to expand over the coming years in size, breadth and depth of data, with continued recruitment and additional measures planned.

Published
2018

38. Association Between Schizophrenia-Related Polygenic Liability and the Occurrence and Level of Mood-Incongruent Psychotic Symptoms in Bipolar Disorder

Author

Ian Jones, Sarah Knott, Katherine Gordon-Smith, Valentina Escott-Price, James T.R. Walters, Arianna Di Florio, Andrew M. McIntosh, Lisa Jones, Michael Conlon O'Donovan, Marian L. Hamshere, Caroline Haywood, David J. Porteous, Liz Forty, Michael John Owen, Peter Holmans, Ganna Leonenko, Nicholas John Craddock, Antonio F. Pardiñas, and Judith Allardyce

Subjects
Adult, Male, Risk, Multifactorial Inheritance, Psychosis, medicine.medical_specialty, Bipolar Disorder, Bipolar I disorder, Genotype, Population, Research Diagnostic Criteria, BF, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Cohort Studies, 03 medical and health sciences, Bipolar II disorder, 0302 clinical medicine, mental disorders, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, Correlation of Data, education, Psychiatry, Psychiatric Status Rating Scales, Principal Component Analysis, education.field_of_study, business.industry, Middle Aged, medicine.disease, 3. Good health, 030227 psychiatry, Affect, Psychiatry and Mental health, Logistic Models, Phenotype, Mood, Schizophrenia, Case-Control Studies, RC0321, Female, Schizophrenic Psychology, business, 030217 neurology & neurosurgery
Abstract

Importance Bipolar disorder (BD) overlaps schizophrenia in its clinical presentation and genetic liability. Alternative approaches to patient stratification beyond current diagnostic categories are needed to understand the underlying disease processes and mechanisms. Objective To investigate the association between common-variant liability for schizophrenia, indexed by polygenic risk scores (PRSs), and psychotic presentations of BD. Design, Setting, and Participants This case-control study in the United Kingdom used multinomial logistic regression to estimate differential PRS associations across categories of cases and controls. Participants included in the final analyses were 4436 cases of BD from the Bipolar Disorder Research Network. These cases were compared with the genotypic data for 4976 cases of schizophrenia and 9012 controls from the Type 1 Diabetes Genetics Consortium study and the Generation Scotland study. Data were collected between January 1, 2000, and December 31, 2013. Data analysis was conducted from March 1, 2016, to February 28, 2017. Exposures Standardized PRSs, calculated using alleles with an association threshold of P < .05 in the second Psychiatric Genomics Consortium genome-wide association study of schizophrenia, were adjusted for the first 10 population principal components and genotyping platforms. Main Outcomes and Measures Multinomial logit models estimated PRS associations with BD stratified by Research Diagnostic Criteria subtypes of BD, by lifetime occurrence of psychosis, and by lifetime mood-incongruent psychotic features. Ordinal logistic regression examined PRS associations across levels of mood incongruence. Ratings were derived from the Schedules for Clinical Assessment in Neuropsychiatry interview and the Bipolar Affective Disorder Dimension Scale. Results Of the 4436 cases of BD, 2966 (67%) were female patients, and the mean (SD) age at interview was 46 [12] years. Across clinical phenotypes, there was an exposure-response gradient, with the strongest PRS association for schizophrenia (risk ratio [RR] = 1.94; 95% CI, 1.86-2.01), followed by schizoaffective BD (RR = 1.37; 95% CI, 1.22-1.54), bipolar I disorder subtype (RR = 1.30; 95% CI, 1.24-1.36), and bipolar II disorder subtype (RR = 1.04; 95% CI, 0.97-1.11). Within BD cases, there was an effect gradient, indexed by the nature of psychosis. Prominent mood-incongruent psychotic features had the strongest association (RR = 1.46; 95% CI, 1.36-1.57), followed by mood-congruent psychosis (RR = 1.24; 95% CI, 1.17-1.33) and BD with no history of psychosis (RR = 1.09; 95% CI, 1.04-1.15). Conclusions and Relevance For the first time to date, a study shows a polygenic-risk gradient across schizophrenia and BD, indexed by the occurrence and level of mood-incongruent psychotic symptoms.

Published
2018

39. SPARSE CANONICAL CORRELATION IN APPLICATION TO BIPOLAR PSYCHOTIC PHENOTYPES AND SCHIZOPHRENIA GENOME-WIDE SIGNIFICANT GENETIC LOCI

Author

Lisa Jones, Katherine Gordon-Smith, Michael Conlon O'Donovan, Arianna Di Florio, Valentina Escott-Price, Judith Allardyce, Ian Jones, Sarah Knott, Liz Forty, Nicholas John Craddock, James T.R. Walters, Ganna Leonenko, and Michael John Owen

Subjects
Pharmacology, Grandiose delusions, Single-nucleotide polymorphism, Computational biology, Biology, medicine.disease, Correlation, Psychiatry and Mental health, Neurology, Schizophrenia, medicine, SNP, Pharmacology (medical), Neurology (clinical), Bipolar disorder, medicine.symptom, Canonical correlation, Biological Psychiatry, Psychiatric genetics
Abstract

Background The aetiology of Bipolar Disorder (BD) and Schizophrenia (SZ) involves a complex gene-environment interplay and this involves common risk alleles that are shared across the disorders. Bipolar disorder is heterogeneous in presentation and we and others have postulated that the particular clinical presentation is in part determined by the particular risk alleles carried. To investigate this, we have employed sparse Canonical Correlation Analysis (sCCA), to seek patterns of correlation between psychotic symptoms and schizophrenia risk alleles in a large (N=3903) deeply phenotyped sample of subjects with BD. Methods Canonical Correlation Analysis (CCA) seeks linear relationships between two sets of multi-dimensional variables. In the psychiatric genetics field, this approach can be adapted to enable the analysis of both phenotype and genetic variables in one framework. This has the advantage of minimizing the number of statistical tests required. A recent extension of CCA to sparse canonical correlation analysis (sCCA) allows application of the general approach to high dimensional genomic data (Witten et al., 2009). sCCA has advantages compared to CCA in terms of precision of parameter estimates and statistical power. We employed sCCA to analyse 30 psychotic symptoms assessed with the OPerational CRITeria checklist (OPCRIT) and 82 independent genome-wide significant SNPs that were identified by the SZ PGC2 study (The Psychiatric Genomics Consortium, 2014) for which we had data in our BD sample. We applied the sCCA as a purely data driven approach to individual OPCRIT psychotic symptoms and also to groups of OPCRIT psychotic symptoms (“positive”, “negative”, “disorganised”) defined by a previously published factor analysis study of schizophrenia. Results sCCA analysis of the individual OPCRIT items with the set of significantly associated with SZ 82 sCCA analysis based on individual psychotic symptoms revealed a significant association (p=0.045) with the largest weights attributed to delusions of influence, bizarre behaviour and grandiose delusions and an indel SNP on chromosome 3 (3:180594593, build 37). sCCA analysis on the same set of SNPs and OPCRIT symptom groups confirmed association with the same SNP and the “disorganised” group of OPCRIT symptoms (p=0.01). The results also show significant association when we use less stringent p-value thresholds in SZ. In this case the most heavily weighted SNP remains 3:180594593, but other SNPs also contribute to the analysis. Discussion Our results suggest the CCA canonical correlation approach might be a useful tool to explore phenotype-genotype relationships. It can be applied to generate data-driven hypotheses with the potential to provide further insights into the complex architecture of psychiatric disorders. To the best of our knowledge, this is the first study to apply this approach in analysing phenotypes and genotypes together. sCCA offers the potential to be extended to include a larger number of fine grained systematic descriptors of BD, and for testing for correlation with genetic profiles from other co-morbid disorders.

Published
2019

40. SU32GENETICS OF SLEEP DURATION AND BIPOLAR DISORDER

Author

Arianna Di Florio, Katherine Gordon-Smith, Katie Lewis, Ian Jones, Sarah Knott, Lisa Jones, Michael Conlon O'Donovan, Valentina Escott-Price, Michael John Owen, Liz Forty, Nicholas John Craddock, Alexander Richards, and Ganna Leonenko

Subjects
Pharmacology, medicine.medical_specialty, business.industry, Audiology, medicine.disease, Psychiatry and Mental health, Neurology, Medicine, Pharmacology (medical), Neurology (clinical), Bipolar disorder, business, Biological Psychiatry, Sleep duration
Published
2019

41. Affective temperaments and concomitant alcohol use disorders in bipolar disorder

Author

Ian Jones, Arianna Di Florio, Sukhmeet Singh, Liz Forty, Daniel J. Smith, Nicholas John Craddock, Katherine Gordon-Smith, and Lisa Jones

Subjects
Adult, Male, medicine.medical_specialty, Bipolar Disorder, Personality Inventory, Cross-sectional study, media_common.quotation_subject, Population, Irritability, Logistic regression, Affect (psychology), Risk Factors, Surveys and Questionnaires, medicine, Humans, Bipolar disorder, Temperament, Psychiatry, education, Retrospective Studies, media_common, education.field_of_study, Middle Aged, medicine.disease, Affect, Psychiatry and Mental health, Clinical Psychology, Cross-Sectional Studies, Female, medicine.symptom, Personality Assessment Inventory, Psychology, Alcohol-Related Disorders, Clinical psychology
Abstract

Background:\ud \ud Alcohol misuse (AM) is more common in bipolar disorder (BD) than within the general population but the mechanisms of this association are unclear. We hypothesized that certain affective temperaments (including hyperthymic, cyclothymic, anxious, depressive and/or irritability) might represent ‘fundamental states’ contributing to risk of both AM and BD and we aimed to assess whether extremes of these five affective temperaments were associated with BD and concomitant AM status.\ud \ud Methods:\ud \ud Our sample comprised 1420 individuals with BD who were recruited into a clinical-genetic study conducted by the Bipolar Disorder Research Network. Phenotypic assessments, including evaluation for AM and the 32-item TEMPS-A questionnaire, were conducted. Binary logistic regression was used to determine the effect of TEMPS-A scores on the likelihood of concomitant AM, with adjustment for confounders.\ud \ud Results:\ud \ud Mean scores for four affective temperaments (hyperthymic, cyclothymic, depressive and irritable) were higher in cases (BD+AMs) than controls (BD only) (p

Published
2015

42. Copy number variation in bipolar disorder

Author

George Kirov, Steven A. McCarroll, Giulio Genovese, Nicholas John Craddock, Stephan Ripke, Ian Jones, Liz Forty, Pamela Sklar, Elaine K. Green, K-G Smith, Kimberly Chambert, Michael John Owen, Elliott Rees, Jennifer L. Moran, James T.R. Walters, Lisa Jones, Detelina Grozeva, and Michael Conlon O'Donovan

Subjects
Male, 0301 basic medicine, Bipolar Disorder, DNA Copy Number Variations, Genotyping Techniques, MEDLINE, Biology, White People, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Text mining, medicine, Humans, Copy-number variation, Bipolar disorder, Molecular Biology, Genetics, Extramural, business.industry, Middle Aged, medicine.disease, R1, Psychiatry and Mental health, 030104 developmental biology, Schizophrenia, RC0321, Female, Original Article, business, 030217 neurology & neurosurgery
Abstract

Large (4100 kb), rare (o1% in the population) copy number variants (CNVs) have been shown to confer risk for schizophrenia (SZ), but the findings for bipolar disorder (BD) are less clear. In a new BD sample from the United Kingdom (n = 2591), we have examined the occurrence of CNVs and compared this with previously reported samples of 6882 SZ and 8842 control subjects. When combined with previous data, we find evidence for a contribution to BD for three SZ-associated CNV loci: duplications at 1q21.1 (P = 0.022), deletions at 3q29 (P = 0.03) and duplications at 16p11.2 (P = 2.3 × 10− 4). The latter survives multiple-testing correction for the number of recurrent large CNV loci in the genome. Genes in 20 regions (total of 55 genes) were enriched for rare exonic CNVs among BD cases, but none of these survives correction for multiple testing. Finally, our data provide strong support for the hypothesis of a lesser contribution of very large (4500 kb) CNVs in BD compared with SZ, most notably for deletions 41Mb (P=9×10− 4).

Published
2015

43. Transcriptomic Imputation of Bipolar Disorder and Bipolar subtypes reveals 29 novel associated genes

Author

Thomas G. Schulze, Eduard Vieta, Melissa J. Green, Jakob Grove, Ingrid Melle, Preben Bo Mortensen, Nicholas J. Schork, Thorgeir E. Thorgeirsson, Jonas Bybjerg-Grauholm, Margit Burmeister, Peter R. Schofield, Szabolcs Szelinger, Fermín Mayoral, Katherine Gordon-Smith, Qingqin S. Li, Claire O'Donovan, Josep Antoni Ramos-Quiroga, Derek W. Morris, Douglas M. Ruderfer, Stefan Herms, Huckins Lm, Martin Hautzinger, Eline J. Regeer, Sebastian Zöllner, Gustavo Turecki, Christine Søholm Hansen, Helena Medeiros, Laura J. Scott, Annelie Nordin Adolfsson, Helmut Vedder, Thomas W. Weickert, Nelson B. Freimer, Céline S. Reinbold, James McKay, Cathryn M. Lewis, Eric R. Gamazon, Frank Bellivier, Marie B¾kvad-Hansen, Srdjan Djurovic, Chun Chieh Fan, Ole A. Andreassen, Solveig K. Sieberts, Jack D. Barchas, David Curtis, Elaine K. Green, Tatiana Foroud, Shaun Purcell, Mette A. Peters, Joanna M. Biernacka, Fabian Streit, Alan F. Schatzberg, James L. Kennedy, Tiffany A. Greenwood, Bertram Müller-Myhsok, Robin Kramer, Swapnil Awasthi, Jordan W. Smoller, Cristina Sánchez-Mora, George Kirov, Ulrik Fredrik Malt, Gabriel E. Hoffman, Liz Forty, Pablo Cervantes, Jose Guzman Parra, Nicholas G. Martin, William Byerley, J. Raymond DePaulo, Martin Alda, Anil P.S. Ori, Menachem Fromer, William E. Bunney, Valentina Escott-Price, Judith A. Badner, Danielle Posthuma, Judith Allardyce, M. Ribasés, Manolis Kogevinas, Stephanie H. Witt, Anne T. Spijker, James A. Knowles, Simon Xi, Jun Li, Francis J. McMahon, Nancy J. Cox, Marcella Rietschel, Markus Leber, Laura M. Huckins, John I. Nurnberger, M. Casas, Marco P. Boks, Maria Hipolito, Evaristus A. Nwulia, Gerome Breen, Franziska Degenhardt, Janice M. Fullerton, Carlos N. Pato, Urs Heilbronner, Piotr M. Czerski, Michael Steffens, Monika Budde, Nicholas John Craddock, Katrin Gade, Bernie Devlin, Sarah Kittel-Schneider, Enrico Domenci, Weihua Guan, Sarah E. Bergen, Fan Meng, Eystein Stordal, Janet L. Sobell, Naomi R. Wray, Engilbert Sigurdsson, Marion Leboyer, Sven Cichon, Pamela Sklar, Bruno Etain, Richard M. Myers, Melvin G. McInnis, Steve McCarroll, Nicholas Bass, Christine Fraser, Thomas W. Mühleisen, Anna Maaser, Patrick F. Sullivan, Mark A. Frye, Amanda Dobbyn, John P. Rice, Amy Perry, Wei Xu, Thomas Damm Als, Anders D. Børglum, Anna C. Koller, Michael Conlon O'Donovan, Pamela B. Mahon, Sara A. Paciga, Douglas Blackwood, Michael Bauer, Fernando S. Goes, Susanne Lucae, Markus M. Nöthen, Josef Frank, Grant W. Montgomery, Scott D. Gordon, Philip B. Mitchell, Hoang T. Nguyen, Huda Akil, Chunyu Liu, Stanley J. Watson, Allan H. Young, Roel A. Ophoff, Caroline M. Nievergelt, John B. Vincent, Robert Karlsson, Kari Stefansson, Thomas Werge, Niamh Mullins, William A. Scheftner, Elliot S. Gershon, Peter McGuffin, Ralph Kupka, Mikael Landén, Matthew Flickinger, Claudia Giambartolomei, Carsten Bøcker Pedersen, Michael John Owen, Diego Albani, Hae Kyung Im, Andres Metspalu, Gunnar Morken, Panos Roussos, Tõnu Esko, Andrew M. McIntosh, Vishwajit L. Nimgaonkar, Per Hoffmann, Olav B. Smeland, Stéphane Jamain, Ole Mors, Vahram Haroutunian, Anders Juréus, Shawn Levy, Roy H. Perlis, Whitney McFadden, James Boocock, Ney Alliey-Rodriguez, Stacy Steinberg, Paul D. Shilling, Arne E. Vaaler, David Craig, Sarah E. Medland, Donald J. MacIntyre, William Coryell, Jens Treutlein, Joanna Hauser, Cynthia Shannon Weickert, Jana Strohmaier, Guy A. Rouleau, Michele T. Pato, John R. Kelsoe, Arianna Di Florio, Radhika Kandaswamy, David M. Hougaard, Toni-Kim Clarke, Susan L. McElroy, Ian Jones, Sarah Knott, Tatyana Shehktman, Wade H. Berrettini, John Strauss, Anders M. Dale, Peter P. Zandi, Andreas Reif, Claire Slaney, Julie Garnham, Margarita Rivera, Michael Gill, Lisa Jones, Cristiana Cruceanu, Sascha B. Fischer, Marian L. Hamshere, Lilijana Oruc, Weiqing Wang, Eli A. Stahl, Wolfgang Maier, Peng Zhang, Hreinn Stefansson, Ingrid Agartz, Bernhard T. Baune, Esben Agerbo, Alessandro Serretti, Robert C. Thompson, Ketil J. Oedegaard, William Lawson, Merete Nordentoft, Jacob Lawrence, Fabio Rivas, James B. Potash, Aiden Corvin, Christina M. Hultman, Maria Grigoroiu-Serbanescu, Marianne Giørtz Pedersen, Michael Boehnke, René S. Kahn, Lili Milani, Jurgen Del-Favero, Veera M. Rajagopal, Jolanta Lissowska, Howard J. Edenberg, Udo Dannlowski, Rolf Adolfsson, Andrea Pfennig, Adebayo Anjorin, and Torbjørn Elvsåshagen

Subjects
Genotype, Expression quantitative trait loci, medicine, Genome-wide association study, Locus (genetics), Bipolar disorder, Computational biology, Biology, medicine.disease, Phenotype, Genetic architecture, Imputation (genetics)
Abstract

Bipolar disorder is a complex neuropsychiatric disorder presenting with episodic mood disturbances. In this study we use a transcriptomic imputation approach to identify novel genes and pathways associated with bipolar disorder, as well as three diagnostically and genetically distinct subtypes. Transcriptomic imputation approaches leverage well-curated and publicly available eQTL reference panels to create gene-expression prediction models, which may then be applied to “impute” genetically regulated gene expression (GREX) in large GWAS datasets. By testing for association between phenotype and GREX, rather than genotype, we hope to identify more biologically interpretable associations, and thus elucidate more of the genetic architecture of bipolar disorder.We applied GREX prediction models for 13 brain regions (derived from CommonMind Consortium and GTEx eQTL reference panels) to 21,488 bipolar cases and 54,303 matched controls, constituting the largest transcriptomic imputation study of bipolar disorder (BPD) to date. Additionally, we analyzed three specific BPD subtypes, including 14,938 individuals with subtype 1 (BD-I), 3,543 individuals with subtype 2 (BD-II), and 1,500 individuals with schizoaffective subtype (SAB).We identified 125 gene-tissue associations with BPD, of which 53 represent independent associations after FINEMAP analysis. 29/53 associations were novel; i.e., did not lie within 1Mb of a locus identified in the recent PGC-BD GWAS. We identified 37 independent BD-I gene-tissue associations (10 novel), 2 BD-II associations, and 2 SAB associations. Our BPD, BD-I and BD-II associations were significantly more likely to be differentially expressed in post-mortem brain tissue of BPD, BD-I and BD-II cases than we might expect by chance. Together with our pathway analysis, our results support long-standing hypotheses about bipolar disorder risk, including a role for oxidative stress and mitochondrial dysfunction, the post-synaptic density, and an enrichment of circadian rhythm and clock genes within our results.

Published
2017

44. Age at first birth in women is genetically associated with increased risk of schizophrenia

Author

Fritz Zimprich, Manuel Mattheisen, Edward M. Scolnick, Ayman H. Fanous, Henrik B. Rasmussen, Steven A. McCarroll, Ingrid Agartz, Carmel M. Loughland, Aiden Corvin, Ann Olincy, Anders D. Børglum, F. Anthony O'Neill, T. Scott Stroup, Elizabeth Bevilacqua, Sandra Meier, Ulrich Schall, Jouko Lönnqvist, Jianxin Shi, C. Robert Cloninger, Judit Bene, Veikko Salomaa, George N. Papadimitriou, Milica Pejovic-Milovancevic, Béla Melegh, Kari Stefansson, Brendan Bulik-Sullivan, Janis Klovins, Enrico Domenici, Sibylle G. Schwab, Dai Wang, Assen Jablensky, Mari Nelis, Sang Yun Oh, Peter Holmans, Aaron R. Wolen, Hualin Simon Xi, Eric Strengman, Bryan J. Mowry, Michael Gill, Kung Yee Liang, William Byerley, Rolf Adolfsson, Hugh Gurling, Joseph I. Friedman, Andrew Pocklington, Brien P. Riley, Engilbert Sigurdsson, Benjamin M. Neale, Miaoxin Li, Michael Davidson, Bernard Lerer, Michele T. Pato, Xuebin Zheng, Patrick F. Sullivan, Frans Henskens, Madeline Alexander, Andrew M. McIntosh, Inez Myin-Germeys, Draga Toncheva, Liene Nikitina-Zake, Kenneth S. Kendler, Carin J. Meijer, Robin M. Murray, Richard E. Straub, Ann E. Pulver, Menachem Fromer, Derek W. Morris, Douglas M. Ruderfer, Mythily Subramaniam, Paul Cormican, Lyudmila Georgieva, Giulio Genovese, Brion S. Maher, Stanley V. Catts, David St Clair, Robert W. McCarley, David Cohen, Nancy G. Buccola, Dan Rujescu, Carlos N. Pato, Kristin K. Nicodemus, Josef Frank, Claudine Laurent, Dominique Campion, Guiyan Ni, James L. Kennedy, Sena Karachanak-Yankova, Nicholas John Craddock, Peter M. Visscher, Valentina Escott-Price, Jeffrey A. Lieberman, Deborah A. Nertney, Bertram Müller-Myhsok, Marcella Rietschel, Dimitris Dikeos, Stephanie Godard, Stephanie Williams, Andres Metspalu, John L. Waddington, Sophie E. Legge, Roel A. Ophoff, Jonathan Pimm, Richard Bruggeman, Tim B. Bigdeli, Gerald Nestadt, Mark Weiser, Kieran C. Murphy, Eric F.C. Cheung, Kang Sim, Jordan W. Smoller, David J. Kavanagh, Inge Joa, Jens R. Wendland, Thomas G. Schulze, Richard A. Belliveau, Sarah E. Bergen, Ditte Demontis, David Curtis, Todd Lencz, Danielle Posthuma, René S. Kahn, Lili Milani, Randy L. Buckner, Jianjun Liu, Petr Slominsky, Wiepke Cahn, Hana Kuzelova-Ptackova, Sergi Papiol, Tune H. Pers, Stephan Ripke, Rita M. Cantor, Ariel Darvasi, Christina M. Hultman, Larry J. Seidman, Eli A. Stahl, David A. Collier, Michael Conlon O'Donovan, Svetlana A. Limborska, James T.R. Walters, Farooq Amin, Noa Carrera, Ronald Y.L. Chen, Pablo V. Gejman, Joel N. Hirschhorn, Zita Ausrele Kucinskiene, Michael John Owen, Ina Giegling, Stephanie H. Witt, Timothy G. Dinan, Margot Albus, Wei Cheng, Marian L. Hamshere, Markus M. Nöthen, Thomas Werge, Guiqing Cai, Raquelle I. Mesholam-Gately, Annette M. Hartmann, Ingrid Melle, Ole A. Andreassen, Preben Bo Mortensen, Hannelore Ehrenreich, Tiina Paunio, James A. Knowles, Pak C. Sham, Marion Friedl, Teimuraz Silagadze, Dermot Walsh, Emily H. M. Wong, Igor Nenadic, Matthew C. Keller, John Powell, Naomi R. Wray, Patricia T. Michie, Bradley T. Webb, Lude Franke, Mark Hansen, Masashi Ikeda, Sven Cichon, Elvira Bramon, Frank Dudbridge, Erik G. Jönsson, Annelie Nordin, Wolfgang Maier, Peter Eichhammer, Christian R. Schubert, J. Mallet, Jacob Gratten, Andrey Khrunin, Jacqueline I. Goldstein, Panos Roussos, Pamela Sklar, Diana O. Perkins, Srdjan Djurovic, Phil Lee, Elodie Drapeau, Douglas F. Levinson, Nadine Cohen, Luba Kalaydjieva, Brandon Wormley, Tao Li, Tõnu Esko, Alexander Richards, Srihari Gopal, Jubao Duan, Anil K. Malhotra, Elisabeth Stögmann, Gary Donohoe, Kimberly Chambert, Sara Marsal, Hreinn Stefansson, Jo Knight, Ole Mors, Per Hoffmann, Dieter B. Wildenauer, James J. Crowley, Srinivas Thirumalai, Vahram Haroutunian, A. Hofman, Hailiang Huang, Thomas Hansen, Daniel R. Weinberger, Andrew McQuillin, Vaughan J. Carr, Vaidutis Kučinskas, Jimmy Lee Chee Keong, Digby Quested, Aarno Palotie, Robert Freedman, Hon-Cheong So, Jennifer L. Moran, Donald W. Black, Mark Reimers, Abraham Reichenberg, Jurgen Del Favero, Paola Giusti-Rodríguez, Tracey L. Petryshen, Olli Pietiläinen, Franziska Degenhardt, Laurent Essioux, Esben Agerbo, Qiang Wang, Jana Strohmaier, Siow Ann Chong, Johan G. Eriksson, Martin Begemann, Younes Mokrab, Colm McDonald, Silviu Alin Bacanu, Martilias S. Farrell, Christos Pantelis, Kai How Farh, Line Olsen, Naser Durmishi, Antonio Julià, Stefan Herms, Qingqin S. Li, Bettina Konte, George Kirov, Rodney J. Scott, Nelson B. Freimer, Mads V. Hollegaard, Shaun Purcell, Erik Söderman, Dragan M. Svrakic, Patrik K. E. Magnusson, Douglas Blackwood, Jin P. Szatkiewicz, Sang Hong Lee, Yunjung Kim, Colm O'Dushlaine, Morten Mattingsdal, Jim van Os, Sarah Tosato, Milan Macek, Joshua L. Roffman, Jan Lubinski, Eadbhard O'Callaghan, Juha Karjalainen, Vera Golimbet, Anna K. Kähler, Clement C. Zai, Nigel Williams, Joseph D. Buxbaum, Laura Nisenbaum, Eric Y.H. Chen, David M. Hougaard, Jaana Suvisaari, Chris C. A. Spencer, Alan R. Sanders, Alkes L. Price, Vihra Milanova, Juha Veijola, Christian Hammer, Raymond C.K. Chan, Stacy Steinberg, Nakao Iwata, Jeremy M. Silverman, Mark J. Daly, Elena Parkhomenko, Kenneth L. Davis, Lieuwe de Haan, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Reproduction & Development (AR&D), Kučinskas, Vaidutis, Kučinskienė, Zita Aušrelė, Ni, Guiyan, Gratten, Jacob, Wray, Naomi R, Lee, Sang Hong, Germeys, Inez, Complex Trait Genetics, Háskóli Íslands, University of Iceland, Child and Adolescent Psychiatry / Psychology, Research Programs Unit, Diabetes and Obesity Research Program, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, University Management, Department of Psychiatry, Center for Population, Health and Society, Department of Public Health, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, and Genomics of Neurological and Neuropsychiatric Disorders

Subjects
0301 basic medicine, Multifactorial Inheritance, PATERNAL-AGE, 3124 Neurology and psychiatry, COMMON SNPS, fluids and secretions, 0302 clinical medicine, CHILD, Risk Factors, Pregnancy, 2.1 Biological and endogenous factors, Medicine, Aetiology, Pediatric, PROPORTION, Schizophrenia Working Group of the Psychiatric Genomics Consortium, 0303 health sciences, Multidisciplinary, PSYCHIATRIC-DISORDERS, BIPOLAR DISORDER, Biobank, 3. Good health, AFB, Mental Health, Schizophrenia, Female, Erfðarannsóknir, Psychosocial, TRAITS, schizophrenia, age at birth, AFB, Maternal Age, Adult, age at first birth in women, genetic association, Offspring, Science, Genetic correlation, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Geðklofi, Genetics, age at birth, Humans, Genetic Predisposition to Disease, Bipolar disorder, General, Biology, Genetic association study, 030304 developmental biology, Genetic association, business.industry, Genetic heterogeneity, Prevention, average aged parents, Parturition, SCORE REGRESSION, bacterial infections and mycoses, medicine.disease, Mental health, Brain Disorders, respiratory tract diseases, schizophrenia, Good Health and Well Being, 030104 developmental biology, younger and older parents, DE-NOVO MUTATIONS, ddc:000, Human medicine, business, 030217 neurology & neurosurgery, Demography
Abstract

Publisher's version (útgefin grein), Previous studies have shown an increased risk for mental health problems in children born to both younger and older parents compared to children of average-aged parents. We previously used a novel design to reveal a latent mechanism of genetic association between schizophrenia and age at first birth in women (AFB). Here, we use independent data from the UK Biobank (N = 38,892) to replicate the finding of an association between predicted genetic risk of schizophrenia and AFB in women, and to estimate the genetic correlation between schizophrenia and AFB in women stratified into younger and older groups. We find evidence for an association between predicted genetic risk of schizophrenia and AFB in women (P-value = 1.12E-05), and we show genetic heterogeneity between younger and older AFB groups (P-value = 3.45E-03). The genetic correlation between schizophrenia and AFB in the younger AFB group is −0.16 (SE = 0.04) while that between schizophrenia and AFB in the older AFB group is 0.14 (SE = 0.08). Our results suggest that early, and perhaps also late, age at first birth in women is associated with increased genetic risk for schizophrenia in the UK Biobank sample. These findings contribute new insights into factors contributing to the complex bio-social risk architecture underpinning the association between parental age and offspring mental health., This research is supported by the Australian National Health and Medical Research Council (1080157, 1087889, 1103418, 1127440), and the Australian Research Council (DP160102126, FT160100229). This research has been conducted using the UK Biobank Resource. UK Biobank (http://www.ukbiobank.ac.uk) Research Ethics Committee (REC) approval number is 11/NW/0382. Our reference number approved by UK Biobank is 14575.

Published
2017

45. Investigation of relationships between bipolar disorder phenotypes and genome-wide significant loci from PGC2 schizophrenia

Author

Judith Allardyce, Michael Conlon O'Donovan, Ganna Leonenko, Valentina Escott-Price, Ian Jones, Sarah Knott, Michael John Owen, Nicholas John Craddock, and Liz Forty

Subjects
Pharmacology, education.field_of_study, Population, Single-nucleotide polymorphism, Computational biology, Biology, Heritability, medicine.disease, Correlation, Psychiatry and Mental health, Neurology, medicine, Pharmacology (medical), Neurology (clinical), Bipolar disorder, education, Canonical correlation, Biological Psychiatry, Imputation (genetics), Genetic association
Abstract

Background\ud Schizophrenia (SZ) and Bipolar disorder (BD) show evidence for partial overlap in phenotypic and genetic influences based on family, twins, adoption and Psychiatric Genetic Consortium (PGC) studies. They have lifetime prevalence of about 1% and 2.4%, and heritability estimates of 60-80% and 40-70%, respectively. In the last decade BD has been investigated using dimensional structuring of psychoses based on symptomatic-functional checklists that provides reliable approach to phenotypic assessment.\ud \ud Recent research suggests moving towards developing Phenotype-based Genetic Association Studies. In this approach, patients will only be put into groups consisting of others with symptoms similar to their own. Canonical Correlation Analysis (CCA) is statistical technique designed to identify relationships (usually hidden) between two sets of variables. We use CCA to combine genotypic and phenotypic variables and measure correlation between those sets. This analysis estimates canonical correlation between psychotic symptoms measured using validated item check list (OPCRIT), and genome-wide significant (GWS) loci from PGC2 schizophrenia.\ud \ud Methods\ud For our analysis we used phenotype and genetic data for 5,507 BD cases. Imputation of genetic data was performed with 1000Genomes (Phase 3, 2014) then quality control was applied (INFO>0.8, HWE>1e-6, MAF>0.01). Additional quality control was performed on phenotypic symptom coverage. CCA was employed as implemented in R, using package “CCA” with GWS loci from PGC2 SZ and OPCRIT items. SNPs were standardised and adjusted for 10 population covariates calculated from imputed data using principal component approach prior to CCA.\ud \ud Results\ud Canonical correlation analysis was run on 4422 cases on 89 available GWS PGC2 SZ SNPs or their proxies (with r2>0.6). 60 phenotypic variables were taken from OPCRIT measurements including mood disturbance, biological indices, atypical depression, substance use, psychosis and social functioning. We found no significant canonical correlations indicating absence of hidden sub-clusters at individual symptom level of BD associated with SZ GWS loci.\ud \ud Discussion\ud Our analysis was focused to find correlation from bipolar phenotype by using OPCRIT questionnaire and GWS SZ loci from PGC2. We have shown that there were no significant canonical correlation coefficients suggesting that there is no direct association between SZ associated genetic loci and BP at individual symptom level.\ud \ud CCA is canonical correlation analysis is one of potential of data-driven approaches to identify hidden genotype-phenotype relationships. It provides opportunities to generate and test different hypotheses and understand more about complex architecture of psychiatric disorders. In the next stage we plan to extend our analysis to more fine grained systematic descriptors of BD and test for correlation with genetic profiles from a number of co-morbid disorders, as well as the full range of phenotypic and genetic data that are available.

Published
2017

46. Genetic correlation between amyotrophic lateral sclerosis and schizophrenia

Author

Cristina Cereda, Jurjen J. Luykx, Sandra Meier, Derek W. Morris, Douglas M. Ruderfer, Mythily Subramaniam, Paul Cormican, Lyudmila Georgieva, John Landers, Silvana Penco, Marian L. Hamshere, Frank Dudbridge, Mari Nelis, Dick Schijven, Jimmy Lee, Sarah E. Bergen, Alessandro Padovani, Nicholas W. Wood, Meraida Polak, Hannelore Ehrenreich, Nancy G. Buccola, Noa Carrera, Stefan Herms, Panos Roussos, Marion Friedl, Teimuraz Silagadze, Jim van Os, Annette M. Hartmann, Ole A. Andreassen, R. Jeroen Pasterkamp, Sibylle G. Schwab, Aleksey Shatunov, Eli A. Stahl, David A. Collier, Farooq Amin, Michael Conlon O'Donovan, Guiqing Cai, Kung-Yee Liang, Denis C. Bauer, Charles Curtis, Brion S. Maher, Ashley R. Jones, Sara L. Pulit, Sarah Tosato, Milan Macek, Vivianna M. Van Deerlin, Vincenzo Silani, Pietro Fratta, Bettina Konte, Rosanna Tortelli, Dan Rujescu, T. Scott Stroup, Elizabeth Bevilacqua, Christian Lunetta, Bradley T. Webb, Christophe Tzourio, Patrick Vourc'h, Joel N. Hirschhorn, Gilbert Bensimon, Timothy G. Dinan, Thomas G. Schulze, Richard A. Belliveau, Daniel R. Weinberger, Andrew McQuillin, Qingqin S. Li, Orla Hardiman, Claudine Laurent, Masashi Ikeda, Tim Kahlke, Rodney J. Scott, Frans Henskens, Tune H. Pers, Wolfgang Lieb, Christian Hammer, Elvira Bramon, Hana Kuzelova-Ptackova, Raquelle I. Mesholam-Gately, Ingrid Melle, Nadine Cohen, David Cohen, Nazli Basak, Elisabeth Stögmann, Nelson B. Freimer, Peter Eichhammer, J. Mallet, Preben Bo Mortensen, Robert H. Brown, Wouter van Rheenen, Roberto Del Bo, Dai Wang, Laurent Essioux, Larry J. Seidman, Hreinn Stefansson, Erik G. Jönsson, Mads V. Hollegaard, Raymond C.K. Chan, Susana Pinto, Alexander Richards, Jubao Duan, Peter Holmans, George Kirov, Pablo V. Gejman, Philippe Amouyel, Stephanie Godard, Dieter B. Wildenauer, Martina Wiedau-Pazos, Stacy Steinberg, Ole Mors, Andres Metspalu, Rolf Adolfsson, Shaun Purcell, Hugh Gurling, Joseph I. Friedman, Erik Söderman, Mark Weiser, Giacomo P. Comi, James A. Knowles, Peter M. Andersen, Brien P. Riley, Nakao Iwata, Jeremy M. Silverman, Mark J. Daly, Elena Parkhomenko, Digby Quested, Srinivas Thirumalai, Ulrich Schall, Jan Lubinski, Dragan M. Svrakic, Aaron R. Wolen, S. Hong Lee, Andrew Pocklington, Bernard Lerer, Vahram Haroutunian, Matthew C. Kiernan, Kenneth L. Davis, Assen Jablensky, William Byerley, Karol Estrada, Aarno Palotie, Cinzia Tiloca, Eadbhard O'Callaghan, Perry T.C. van Doormaal, Colm McDonald, Federico Casale, Thomas Meitinger, Robert Freedman, Gerome Breen, Milena Blagojevic-Radivojkov, Ian P. Blair, Ann E. Pulver, Jan H. Veldink, Giancarlo Logroscino, Miaoxin Li, Abraham Reichenberg, Esben Agerbo, Siddharthan Chandran, Patrik K. E. Magnusson, Andrew M. McIntosh, Gianni Sorarù, Maura Brunetti, Xuebin Zheng, Madeline Alexander, James L. Kennedy, Douglas Blackwood, Menachem Fromer, Martilias S. Farrell, Alan R. Sanders, Dominic B. Rowe, Alexis Brice, Jonathan Pimm, Emily H. M. Wong, Jana Strohmaier, André G. Uitterlinden, Andrea Calvo, Carsten Drepper, John Q. Trojanowski, Marcella Rietschel, Siow Ann Chong, Karen E. Morrison, Sang-Yun Oh, Laura Nisenbaum, Margaret O'Brien, Alkes L. Price, Carin J. Meijer, Michael Davidson, John Powell, Petr Slominsky, Wiepke Cahn, Cinzia Gellera, Vihra Milanova, Peter M. Visscher, Patricia T. Michie, Dimitris Dikeos, Jianxin Shi, Veikko Salomaa, Philip Van Damme, James J. Crowley, Younes Mokrab, Valentina Escott-Price, Jesus S. Mora, Stanley V. Catts, David St Clair, Bernhard Landwehrmeyer, John Hardy, Kristin K. Nicodemus, Dominique Campion, Juha Veijola, Wim Robberecht, Thomas Meyer, Peter Lichtner, Christos Pantelis, Markus Weber, Nilo Riva, Jin P. Szatkiewicz, Michele T. Pato, Cinzia Bertolin, Frank P. Diekstra, Simon Arcuti, Bryan J. Mowry, Hon-Cheong So, Adriano Chiò, Viviana Pensato, Yunjung Kim, Jean-François Dartigues, Zita Ausrele Kucinskiene, Inez Myin-Germeys, Jaana Suvisaari, Sophie E. Legge, Roel A. Ophoff, Philippe Corcia, Gerald Nestadt, Stephan Ripke, Kuang Lin, Paola Giusti-Rodríguez, Michael John Owen, Chris C. A. Spencer, Safa Saker-Delye, Robert W. McCarley, Kimberley D. Chambert, Brandon Wormley, Isabella Fogh, Mamede de Carvalho, Pamela J. Shaw, Tõnu Esko, Ronald Y. L. Chan, Jianjun Liu, Tim B. Bigdeli, Christian R. Andres, David M. Hougaard, Michael Gill, Ammar Al-Chalabi, Colm O'Dushlaine, Rick A.A. van der Spek, Gary Donohoe, Tao Li, Jonathan D. Glass, Christopher Shaw, Draga Toncheva, Leonard H. van den Berg, Liene Nikitina-Zake, Morten Mattingsdal, François Salachas, Andrey Khrunin, Line Olsen, Jochen H. Weishaupt, Jo Knight, Katie Sidle, Filip Eftimov, Massimiliano Filosto, Russell L. McLaughlin, Pak C. Sham, Joshua L. Roffman, Thomas Hansen, Naser Durmishi, Deborah A. Nertney, Juha Karjalainen, Robert Swingler, Ditte Demontis, Vaidutis Kučinskas, Jennifer L. Moran, Leo McCluskey, Donald W. Black, Eric F.C. Cheung, Qiang Wang, Olli Pietilainen, Vera Golimbet, Anna K. Kähler, Clement C. Zai, Nigel Williams, Annelie Nordin, Wolfgang Maier, Bradley N. Smith, Ettore Beghi, Rosa Capozzo, Garth A. Nicholson, Markus M. Nöuthen, Jordan W. Smoller, Eric Y.H. Chen, Joseph D. Buxbaum, Letizia Mazzini, Andrea Malaspina, Antonio Julià, Stephanie Williams, Tracey L. Petryshen, Christine Payan, Johan G. Eriksson, Carmel M. Loughland, Elodie Drapeau, Lieuwe de Haan, Martin Begemann, Lukas Tittmann, Franziska Degenhardt, Mark Reimers, Jurgen Del Favero, Jacqueline I. Goldstein, Annelot M. Dekker, Sergi Papiol, Svetlana A. Limborska, René S. Kahn, Shuna Colville, Kelly L. Williams, Pamela Sklar, Diana O. Perkins, Lili Milani, Ayman H. Fanous, Nicola Ticozzi, Fernando Rivadeneira, Marianne de Visser, P. Nigel Leigh, James T.R. Walters, Josef Frank, Aiden Corvin, Silviu Alin Bacanu, John L. Waddington, Stephanie H. Witt, Tiina Paunio, Margot Albus, Catherine Lomen-Hoerth, Sara Marsal, Per Hoffmann, David Curtis, Cindy Maurel, Todd Lencz, Orietta Pansarasa, Manuel Mattheisen, Anneke J. van der Kooi, A. Hofman, Dermot Walsh, Hailiang Huang, Ann Olincy, Anders D. Børglum, Ricardo Rojas-García, William Sproviero, Albert C. Ludolph, Edward M. Scolnick, Danielle Posthuma, George N. Papadimitriou, Michael A. van Es, Fritz Zimprich, F. Anthony O'Neill, Lude Franke, Jouko Lönnqvist, Daniel G. Bradley, Sven Cichon, Susanna Abdulla, Kristel R. van Eijk, Ingrid Agartz, Elisabetta Pupillo, Milica Pejovic-Milovancevic, Antonia Ratti, Henrik B. Rasmussen, Kari Stefansson, Brendan Bulik-Sullivan, Béla Melegh, Stéphanie Millecamps, Janis Klovins, Enrico Domenici, Michael Sendtner, Kai-How Farh, Randy L. Buckner, Albert Hofman, Benjamin M. Neale, Naomi R. Wray, An Goris, Kang Sim, Lauren Elman, Giulio Genovese, Jens R. Wendland, Rita M. Cantor, Ariel Darvasi, Christina M. Hultman, Sandra D'Alfonso, Cristina Moglia, Carlos N. Pato, Sena Karachanak-Yankova, Nicholas John Craddock, Richard W. Orrell, Richard Bruggeman, Kenneth S. Kendler, Alan M. Pittman, Robin M. Murray, Richard E. Straub, Cathryn M. Lewis, Srdjan Djurovic, Vincent Meininger, Jeffrey A. Lieberman, Bertram Müller-Myhsok, Phil Lee, David J. Kavanagh, Srihari Gopal, Igor Nenadic, Matthew C. Keller, Christian R. Schubert, Jacob Gratten, Alexandra Durr, Roger Pamphlett, Douglas F. Levinson, Luba Kalaydjieva, Chiara Zecca, Anil K. Malhotra, Andre Franke, Vaughan J. Carr, Steven A. McCarroll, C. Robert Cloninger, Judit Bene, Ina Giegling, Wei Cheng, Hualin Simon Xi, Thomas Werge, Eric Strengman, Susanne Petri, Engilbert Sigurdsson, Mark Hansen, Patrick F. Sullivan, Kieran C. Murphy, Inge Joa, Complex Trait Genetics, McLaughlin, Russell L, Schijven, Dick, Van Rheenen, Wouter, Van Eijk, Kristel R, O'Brien, Margaret, Kahn, René S, Ophoff, Roel A, Goris, An, Bradley, Daniel G, Al-Chalabi, Ammar, Van Den Berg, Leonard H, Luykx, Jurjen J, Hardiman, Orla, Veldink, Jan H, Lee, S Hong, Project MinE GWAS Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, Kučinskas, Vaidutis, Kučinskienė, Zita Aušrelė, Other departments, Neurology, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Adult Psychiatry, Schizophrenia Working Group of the Psychiatric Genomics Consortiumz, Germeys, Inez, Robberecht, Wim, and Van Damme, Philip

Subjects
0301 basic medicine, Oncology, Genetics and Molecular Biology (all), Linkage disequilibrium, Multifactorial Inheritance, General Physics and Astronomy, Genome-wide association study, Comorbidity, VARIANTS, Neurodegenerative, Biochemistry, DISEASE, 3124 Neurology and psychiatry, Linkage Disequilibrium, Cohort Studies, 0302 clinical medicine, Genetics research, Odds Ratio, 2.1 Biological and endogenous factors, Amyotrophic lateral sclerosis, Aetiology, ARCHITECTURE, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Multidisciplinary, Chemistry (all), Motor neuron disease, Schizophrenia, BIPOLAR DISORDER, Single Nucleotide, Serious Mental Illness, 3. Good health, Mental Health, RC0346, motor neuron disease, Project MinE GWAS Consortium, medicine.medical_specialty, SUSCEPTIBILITY LOCI, Science, European Continental Ancestry Group, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, White People, 03 medical and health sciences, Physics and Astronomy (all), Rare Diseases, SDG 3 - Good Health and Well-being, Clinical Research, Internal medicine, MD Multidisciplinary, mental disorders, medicine, Genetics, Journal Article, Humans, Genetic Predisposition to Disease, Family, Bipolar disorder, GENOME-WIDE ASSOCIATION, Polymorphism, Biology, METAANALYSIS, business.industry, Amyotrophic Lateral Sclerosis, Human Genome, Case-control study, 3112 Neurosciences, Neurosciences, General Chemistry, Odds ratio, medicine.disease, R1, Brain Disorders, 030104 developmental biology, genetics research, Case-Control Studies, RC0321, Linear Models, PLEIOTROPY, Human medicine, 3111 Biomedicine, Biochemistry, Genetics and Molecular Biology (all), ALS, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

We have previously shown higher-than-expected rates of schizophrenia in relatives of patients with amyotrophic lateral sclerosis (ALS), suggesting an aetiological relationship between the diseases. Here, we investigate the genetic relationship between ALS and schizophrenia using genome-wide association study data from over 100,000 unique individuals. Using linkage disequilibrium score regression, we estimate the genetic correlation between ALS and schizophrenia to be 14.3% (7.05–21.6; P=1 × 10−4) with schizophrenia polygenic risk scores explaining up to 0.12% of the variance in ALS (P=8.4 × 10−7). A modest increase in comorbidity of ALS and schizophrenia is expected given these findings (odds ratio 1.08–1.26) but this would require very large studies to observe epidemiologically. We identify five potential novel ALS-associated loci using conditional false discovery rate analysis. It is likely that shared neurobiological mechanisms between these two disorders will engender novel hypotheses in future preclinical and clinical studies., Relatives of patients with amyotrophic lateral sclerosis have an unexpectedly high incidence of schizophrenia. Here, the authors show a genetic link between the two conditions, suggesting shared neurobiological mechanisms.

Published
2017

47. Evidence for genetic heterogeneity between clinical subtypes of bipolar disorder

Author

Pamela Sklar, Paul Lichtenstein, Diana O. Perkins, Douglas M. Ruderfer, Lena Backlund, Humberto Nicolini, Stephen R. Marder, Phil Lee, Elaine K. Green, Roy H. Perlis, Martin Schalling, Jeffrey J. Rakofsky, Steven A. McCarroll, Evelyn J. Bromet, Jordan W. Smoller, Liz Forty, Dolores Malaspina, Janet L. Sobell, Richard A. Belliveau, Katherine Gordon-Smith, Jennifer L. Moran, Ian Jones, Sarah E. Bergen, A. Di Florio, Laura J. Fochtmann, Michael Escamilla, Helena Medeiros, Alexander W. Charney, Mikael Landén, Panos Roussos, A. H. Fanous, Mark Hyman Rapaport, Shaun Purcell, Kimberly Chambert, James A. Knowles, Carlos N. Pato, Douglas S. Lehrer, Nicholas John Craddock, M. T. Pato, Christopher P. Morley, Anders Juréus, Lisa Jones, Eli A. Stahl, Peter F. Buckley, and Christina M. Hultman

Subjects
0301 basic medicine, Oncology, Bipolar Disorder, Genome-wide association study, Aminopeptidases, 0302 clinical medicine, 2.1 Biological and endogenous factors, Psychology, Pair 10, Aetiology, Genetics, Nuclear Proteins, Single Nucleotide, Serious Mental Illness, L-Type, 3. Good health, Psychiatry and Mental health, Phenotype, Mental Health, Schizophrenia, Public Health and Health Services, Major depressive disorder, Original Article, Human, Ankyrins, medicine.medical_specialty, Calcium Channels, L-Type, Genotype, Clinical Sciences, BF, Schizoaffective disorder, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Genetic correlation, Chromosomes, 03 medical and health sciences, Cellular and Molecular Neuroscience, Clinical Research, Internal medicine, medicine, Humans, Bipolar disorder, Allele, Polymorphism, Biological Psychiatry, Chromosomes, Human, Pair 10, Genetic heterogeneity, Human Genome, medicine.disease, R1, Brain Disorders, Cytoskeletal Proteins, 030104 developmental biology, Psychotic Disorders, Case-Control Studies, RC0321, Calmodulin-Binding Proteins, Calcium Channels, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

We performed a genome-wide association study of 6447 bipolar disorder (BD) cases and 12 639 controls from the International Cohort Collection for Bipolar Disorder (ICCBD). Meta-analysis was performed with prior results from the Psychiatric Genomics Consortium Bipolar Disorder Working Group for a combined sample of 13 902 cases and 19 279 controls. We identified eight genome-wide significant, associated regions, including a novel associated region on chromosome 10 (rs10884920; P=3.28 × 10−8) that includes the brain-enriched cytoskeleton protein adducin 3 (ADD3), a non-coding RNA, and a neuropeptide-specific aminopeptidase P (XPNPEP1). Our large sample size allowed us to test the heritability and genetic correlation of BD subtypes and investigate their genetic overlap with schizophrenia and major depressive disorder. We found a significant difference in heritability of the two most common forms of BD (BD I SNP-h2=0.35; BD II SNP-h2=0.25; P=0.02). The genetic correlation between BD I and BD II was 0.78, whereas the genetic correlation was 0.97 when BD cohorts containing both types were compared. In addition, we demonstrated a significantly greater load of polygenic risk alleles for schizophrenia and BD in patients with BD I compared with patients with BD II, and a greater load of schizophrenia risk alleles in patients with the bipolar type of schizoaffective disorder compared with patients with either BD I or BD II. These results point to a partial difference in the genetic architecture of BD subtypes as currently defined.

Published
2017

48. Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia

Author

Stephan Ripke, A. Di Florio, Gustavo Turecki, N Bass, Ian Jones, Laura J. Scott, Lisa Hall, Martin Hautzinger, Tracy Air, Sarah Knott, Marcella Rietschel, Christel M. Middeldorp, Patrick J. Brennan, John Strauss, Nicholas G. Martin, Bertram Müller-Myhsok, Tony Davis, Andreas Reif, Katherine Gordon-Smith, Céline S. Reinbold, Urs Heilbronner, Anders Juréus, Stefan Kloiber, Andrew McQuillin, Dan Rujescu, N. Dahmen, Fermin Mayoral-Cleries, Richard M. Myers, Abdel Abdellaoui, Franck Bellivier, Gunnar Morken, Sarah E. Bergen, Manolis Kogevinas, Dorret I. Boomsma, Thomas G. Schulze, Arian Mobascher, Stefanie Heilmann-Heimbach, Sascha B. Fischer, Christine Fraser, Y. Milaneschi, Michael Conlon O'Donovan, Susan L. McElroy, Klaus Lieb, B.W.J.H. Penninx, Helmut Vedder, Fabian Streit, Piotr M. Czerski, Swapnil Awasthi, Lilijana Oruc, Caroline M. Nievergelt, Michael Bauer, Jana Strohmaier, Qingqin S. Li, Bernhard T. Baune, Roel A. Ophoff, S. E. Medland, Marco P. Boks, Gulja Babadjanova, Mark A. Frye, Christian Schmahl, M. M. Nöthen, Nicholas John Craddock, John B. Vincent, Douglas Blackwood, Marion Leboyer, Franziska Degenhardt, C. E. Schwarze, Henriette N. Buttenschøn, Tiffany A. Greenwood, Ole A. Andreassen, Toni-Kim Clarke, Loes M. Olde Loohuis, Scott D. Gordon, Björn H. Schott, Stephanie H. Witt, Stefan Roepke, John I. Nurnberger, S Van der Auwera, Lisa Jones, James D. McKay, André Tadić, Mikael Landén, Guy A. Rouleau, Monika Budde, Grant C.B. Sinnamon, Enda M. Byrne, Bruno Etain, Darja Schendel, Andreas J. Forstner, Cristiana Cruceanu, Srdjan Djurovic, Sara A. Paciga, Ney Alliey-Rodriguez, Joanna Hauser, Enrico Domenici, Peter Hoffmann, Elaine K. Green, Stéphane Jamain, Markus Schwarz, Marian L. Hamshere, Christian Witt, E.J.C. de Geus, Andrew M. McIntosh, Sven Cichon, Ole Mors, Jolanta Lissowska, Josef Frank, Pablo Cervantes, G. Kirov, Howard J. Edenberg, Ina Giegling, Grant W. Montgomery, Lydie Dietl, Martin Preisig, M. J. Owen, Martin Alda, David Curtis, Eli A. Stahl, Gonneke Willemsen, Udo Dannlowski, Rolf Adolfsson, Janice M. Fullerton, Jose Guzman-Parra, Elliot S. Gershon, Peter Holmans, Hans-Jörgen Grabe, Hualin S. Xi, Jens Treutlein, Fabio Rivas, James B. Potash, Martin Bohus, Naomi R. Wray, René S. Kahn, Katrin Gade, Sarah Kittel-Schneider, Anders D. Børglum, Susanne Lucae, Jouke-Jan Hottenga, Joanna M. Biernacka, Liz Forty, Margitta Borrmann-Hassenbach, Martin Jungkunz, Andrea Pfennig, Jutta Kammerer-Ciernioch, Maria Grigoroiu-Serbanescu, Peter R. Schofield, Stefan Herms, Amy Perry, Shashi Hitturlingappa, Markus Leber, Thomas W. Mühleisen, Philip B. Mitchell, Andrew Bethell, Huda Akil, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Environmental Policy Analysis, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Bipolar Disorders Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Variabilité de réponse aux Psychotropes (VariaPsy - U1144), Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hopital Saint-Louis [AP-HP] (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre International de Recherche contre le Cancer - International Agency for Research on Cancer (CIRC - IARC), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Université Paris-Est Créteil Val-de-Marne - Faculté de médecine (UPEC Médecine), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), 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), and Duchange, Nathalie

Subjects
Netherlands Twin Register (NTR), Male, Linkage disequilibrium, Multifactorial Inheritance, Bipolar Disorder, FEATURES, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Genome-wide association study, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit, MESH: Genotype, 0302 clinical medicine, Borderline Personality Disorder, MESH: Bipolar Disorder, Borderline personality disorder, Genetics, RISK, Psychiatry, MESH: Aged, MESH: Middle Aged, PSYCHOPATHOLOGY, MESH: Genetic Predisposition to Disease, Middle Aged, MESH: Case-Control Studies, 3. Good health, FAMILY, Psychiatry and Mental health, Schizophrenia, MESH: Young Adult, Female, Original Article, medicine.symptom, Psychology, SET, TRAITS, Adolescent, Adult, Aged, Bipolar Disorder/genetics, Borderline Personality Disorder/genetics, Case-Control Studies, Depressive Disorder, Major/genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Schizophrenia/genetics, Young Adult, Clinical psychology, MESH: Depressive Disorder, Major, TWIN, BF, Impulsivity, Psykiatri, 03 medical and health sciences, Cellular and Molecular Neuroscience, medicine, Journal Article, ddc:610, Bipolar disorder, Biological Psychiatry, METAANALYSIS, MESH: Borderline Personality Disorder, MESH: Adolescent, Depressive Disorder, Major, MESH: Humans, MESH: Adult, medicine.disease, Comorbidity, MESH: Male, MESH: Schizophrenia, 030227 psychiatry, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, MESH: Genome-Wide Association Study, PATTERNS, RC0321, DPYD, MESH: Multifactorial Inheritance, COMORBIDITY, MESH: Female, 030217 neurology & neurosurgery
Abstract

Borderline personality disorder (BOR) is determined by environmental and genetic factors, and characterized by affective instability and impulsivity, diagnostic symptoms also observed in manic phases of bipolar disorder (BIP). Up to 20% of BIP patients show comorbidity with BOR. This report describes the first case–control genome-wide association study (GWAS) of BOR, performed in one of the largest BOR patient samples worldwide. The focus of our analysis was (i) to detect genes and gene sets involved in BOR and (ii) to investigate the genetic overlap with BIP. As there is considerable genetic overlap between BIP, major depression (MDD) and schizophrenia (SCZ) and a high comorbidity of BOR and MDD, we also analyzed the genetic overlap of BOR with SCZ and MDD. GWAS, gene-based tests and gene-set analyses were performed in 998 BOR patients and 1545 controls. Linkage disequilibrium score regression was used to detect the genetic overlap between BOR and these disorders. Single marker analysis revealed no significant association after correction for multiple testing. Gene-based analysis yielded two significant genes: DPYD (P=4.42 × 10−7) and PKP4 (P=8.67 × 10−7); and gene-set analysis yielded a significant finding for exocytosis (GO:0006887, PFDR=0.019; FDR, false discovery rate). Prior studies have implicated DPYD, PKP4 and exocytosis in BIP and SCZ. The most notable finding of the present study was the genetic overlap of BOR with BIP (rg=0.28 [P=2.99 × 10−3]), SCZ (rg=0.34 [P=4.37 × 10−5]) and MDD (rg=0.57 [P=1.04 × 10−3]). We believe our study is the first to demonstrate that BOR overlaps with BIP, MDD and SCZ on the genetic level. Whether this is confined to transdiagnostic clinical symptoms should be examined in future studies.

Published
2017

49. Abstracts

Author

Arianna Di Florio, L. A. Jones, Nicholas John Craddock, Ian Jones, Elizabeth Forty, and Katherine Gordon-Smith

Subjects
Postpartum depression, medicine.medical_specialty, Diathesis, medicine.disease, Recurrent major depression, Psychiatry and Mental health, Mood disorders, mental disorders, medicine, Childbirth, Bipolar disorder, medicine.symptom, Family history, Psychology, Psychiatry, reproductive and urinary physiology, Biological Psychiatry, Depression (differential diagnoses)
Abstract

Background: Despite its great clinical importance, there is a paucity of research evidence on bipolar depression after childbirth. It is also common, especially in non-specialist settings, to label all psychiatric disorders occurring in relation to childbirth as postpartum depression and to assume that bipolar and unipolar depression are the same. In this study we aimed to explore (1) whether a history of postpartum depression identified a distinct sub-group of women with bipolar disorder and (2) the clinical features that distinguished between bipolar and unipolar postpartum depression. Methods: One thousand two hundred and ninety five parous women with bipolar disorder and 426 with recurrent major depression were interviewed and case notes reviewed. Best-estimate diagnoses were made according to DSM-IV criteria. A range of clinical variables were investigated using parametric and non-parametric regression approaches. Results: In the bipolar disorder group, women with postpartum depression had a younger age at onset and more deliveries than women without postpartum episodes (p < 0.001). Compared to women with unipolar postpartum depression, those with a bipolar diathesis had more recurrences, younger age at onset and were less likely to have a family history of lifetime or postnatal depression. Combining information on family history, course and age at impairment about 8 out of 10 women with unipolar and bipolar postpartum depression were correctly classified. Conclusions: Our results supported the hypothesis that postpartum depression is an heterogeneous illness.In our analysis postpartum depression did not identify a distinct clinical subtype of bipolar disorder. Women with unipolar postpartum depression had fewer lifetime episodes and were more likely to have a family history of lifetime and postpartum major depression than those with a bipolar diathesis, suggesting a more specific relationship with the childbirth trigger.

Published
2014

50. Improving the psychometric utility of the hypomania checklist (HCL-32): A Rasch analysis approach

Author

Daniel J. Smith, Ian Jones, Helen Court, Nicholas John Craddock, Liz Forty, Lisa Jones, and Katherine Gordon-Smith

Subjects
Adult, Male, Bipolar Disorder, Psychometrics, Population, behavioral disciplines and activities, Bipolar disorder research, Sex Factors, Surveys and Questionnaires, medicine, Humans, Bipolar disorder, education, education.field_of_study, Rasch model, Polytomous Rasch model, medicine.disease, Differential item functioning, Checklist, Psychiatry and Mental health, Clinical Psychology, Hypomania, Female, medicine.symptom, Psychology, Clinical psychology
Abstract

BACKGROUND: The HCL-32 is a widely-used screening questionnaire for hypomania. We aimed to use a Rasch analysis approach to (i) evaluate the measurement properties, principally unidimensionality, of the HCL-32, and (ii) generate a score table to allow researchers to convert raw HCL-32 scores into an interval-level measurement which will be more appropriate for statistical analyses. METHODS: Subjects were part of the Bipolar Disorder Research Network (BDRN) study with DSM-IV bipolar disorder (n=389). Multidimensionality was assessed using the Rasch fit statistics and principle components analysis of the residuals (PCA). Item invariance (differential item functioning, DIF) was tested for gender, bipolar diagnosis and current mental state. Item estimates and reliabilities were calculated. RESULTS: Three items (29, 30, 32) had unacceptable fit to the Rasch unidimensional model. Item 14 displayed significant DIF for gender and items 8 and 17 for current mental state. Item estimates confirmed that not all items measure hypomania equally. LIMITATIONS: This sample was recruited as part of a large ongoing genetic epidemiology study of bipolar disorder and may not be fully representative of the broader clinical population of individuals with bipolar disorder. CONCLUSION: The HCL-32 is unidimensional in practice, but measurements may be further strengthened by the removal of four items. Re-scored linear measurements may be more appropriate for clinical research.

Published
2014

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